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Speaker 1: I listened to the black guy who Tips because Rod

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Speaker 1: and Karen are hot. One popular empathy building app used

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Speaker 1: by teachers called class Dojo, came under heavy scrutiny in

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Speaker 1: the early twenty eighteen after a series of articles in

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Speaker 1: the US and UK questioned this practice of gathering behavioral

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Speaker 1: data and images from thousands of students and storing it

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Speaker 1: all in an offshore location.

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Speaker 2: Class Dojo promises.

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Speaker 1: Happier classrooms through a platform that allows teachers to connect

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Speaker 1: digitally to students and parents for the purposes of encouragement, transparency,

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Speaker 1: and memory sharing. The app also helps teachers with organizational

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Speaker 1: tasks and allows them to create digital portfolios of their students' work,

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Speaker 1: and it has a game element for behavior. Teachers can

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Speaker 1: use it to award positive Dojo points when children are

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Speaker 1: respectful and negative ones when they misbehave. The company's website

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Speaker 1: says it used is used in ninety percent of schools

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Speaker 1: in the US, but it's not clear exactly how many

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Speaker 1: teachers use it nor what they can use it for,

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Speaker 1: and some parents of education and experts are.

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Speaker 2: Nervous about its practices.

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Speaker 1: Sularly controversial tools seen to pop up every few months,

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Speaker 1: Many schools have started using Internet filters and type trackers

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Speaker 1: to detect when students search behaviors suggests depression or suicidal ideation.

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Speaker 1: The education company Pierson conducted a social psychological experiment on

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Speaker 1: thousands of unaware math and science students using his software

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Speaker 1: to see whether encouraging messages help them solve problems, and

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Speaker 1: one startup company, brain Code, is raising millions and funding

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Speaker 1: to create electronic headbands that will allow it to analyze students'

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Speaker 1: brain data. Chris Jilliard, a digital education expert and English

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Speaker 1: professor at McComb County Community Community College in Michigan, says

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Speaker 1: that while the motives behind all these gadgets and programs

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Speaker 1: can sound positives, the tools are still part of what

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Speaker 1: he likes to call surveillance capitalism, and we should be wared.

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Speaker 1: The issue is that there are not a ton of

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Speaker 1: laws that put up any guardrails, even on stuff that

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Speaker 1: is used by kids. He told me. On the phone

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Speaker 1: and education technolog there's often a clause that says companies

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Speaker 1: can use the data they collect to improve their product,

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Speaker 1: and that's open to a very broad interpretation. It's rarely

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Speaker 1: clear how long data is kept and who else might

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Speaker 1: have access to it down the road. Gilliard is particularly

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Speaker 1: worried about how this data might be used to make

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Speaker 1: decisions about people in the future, say, when it comes

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Speaker 1: time to apply for college scholarships and jobs, we don't know,

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Speaker 1: and we actually can't know because a lot of times

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Speaker 1: the companies don't even know. He said, Hey, welcome to

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Speaker 1: the Blackout Tips podcast. I'm your host, Rod joined us

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Speaker 1: always with my co host, and we're live on a Tuesday,

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Speaker 1: ready to do some podcasting. You can find us exclusively

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Speaker 1: on Spotify. If you're listening to this, you're on Spotify,

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Speaker 1: or you stole someone's phone, or you're in a car

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Speaker 1: and someone's playing this Spotify the black Guy who Tips.

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Speaker 1: That's how you find us. Of course, all the feedback

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Speaker 1: information is in the show notes. You can check all

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Speaker 1: that stuff out, and that's how you get in contact

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Speaker 1: with us. It's how you leave feedback and all that stuff.

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Speaker 1: Today's excerpt is the Future of Feeling Building Empathy in

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Speaker 1: a Tech Obsessed World by Caitlin you Golic Phillips. And

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Speaker 1: this this is so interesting because the book is about

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Speaker 1: empathy and technology and how we use it now and

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Speaker 1: how it and what we're gonna use it for in

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Speaker 1: the future and how it's developing people's brains and stuff.

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Speaker 1: And one thing I think people don't think about is

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Speaker 1: how much technology is being integrated into schools and that

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Speaker 1: same school is young impressionable minds, and how much if

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Speaker 1: something's free, if something is you know, not advertising or

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Speaker 1: whatever it is put in your school, then the product

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Speaker 1: is you, right, And in this case, the products is

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Speaker 1: our children. And these children are being studied in a

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Speaker 1: way that is at once invasive but also sort of

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Speaker 1: like surreptitious. It's not a true disruption. It's like, hey,

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Speaker 1: click on these things, like this stuff, share this, But

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Speaker 1: meanwhile they're going, what does this do to your young brain?

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Speaker 1: You know. It's like when Facebook was doing experiments on

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Speaker 1: if they can depress you or not, you know. Or

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Speaker 1: if you go on Facebook today, you'll find that as

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Speaker 1: soon as you log in, if you've been talking about

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Speaker 1: the movie wonder Woman or Soul, you're gonna see everybody

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Speaker 1: else who's been talking about that. That's something I noticed

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Speaker 1: the other day. I saw wonder Woman. I made it

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Speaker 1: like a post about wonder Woman, and then the next

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Speaker 1: time I logged into Facebook, like the first five or

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Speaker 1: six statuses were all about Wonder Woman, which you know,

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Speaker 1: there's two thousand people on my page that I follow

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Speaker 1: that I'm friends with, quote unquote, so it chose to

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Speaker 1: show me not all two thousands of them watch Wonder Woman.

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Speaker 1: So it's telling here's this conversation, here's people arguing, here's

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Speaker 1: people tuning in with agreeing with you or disagreeing with you.

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Speaker 1: Get involved in this conversation. What can I do to

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Speaker 1: get you to click? And I think about that with

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Speaker 1: social media, but we also are handing that over to

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Speaker 1: our kids and these tools in many cases, we think

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Speaker 1: these tools will be the key to teaching these children

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Speaker 1: right from wrong, how to how to feel for somebody else,

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Speaker 1: how to how to have empathy? And are we sure

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Speaker 1: that we want big tech the same people that brought

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Speaker 1: you Facebook and Twitter and you know Silicon Valley? Is

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Speaker 1: that who I want teaching my kids? Is that who

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Speaker 1: I want collecting data on a person that literally is

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Speaker 1: too young to even really consent to it or know

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Speaker 1: what they're you know, know what they're giving access to

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Speaker 1: and what does happen when we're like, uh, this person

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Speaker 1: has suicidal ideation, I'm reporting it to somebody. Even if

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Speaker 1: a computer decided that or you're depressed, or you're angry,

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Speaker 1: or you're a troublemaker.

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Speaker 2: And who makes that decision? Who programs that we.

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Speaker 1: Already know in schools, black children are often disciplined at

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Speaker 1: a harsher higher level than their white counterparts. What can

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Speaker 1: mean who's programming? Thiss't making that decision?

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Speaker 3: Right?

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Speaker 1: Like? What decides the things you've been clicking on? No,

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Speaker 1: you haven't done anything in clashy, haven't been disrupted, but

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Speaker 1: the things you've been clicking on as a child, I've

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Speaker 1: decided that these are problematic and you you know, you're

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Speaker 1: in trouble or I'm putting you on some list, or

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Speaker 1: this will effect if you get into college or not.

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Speaker 1: The fact that we don't know how long they held

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Speaker 1: on to this data because they're not really they don't

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Speaker 1: have to be transparent about this. Our government isn't really

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Speaker 1: up on this because it's behind on technologies. Why things

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Speaker 1: keep getting fucked up? And then our government comes in

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Speaker 1: much later like, oh wait, you can steal an election

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Speaker 1: like this, well we should probably regulate that. It's like, well,

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Speaker 1: we lost one election already because of this, you know,

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Speaker 1: So that's that's that's what I was thinking of.

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Speaker 3: Ooh, this is really really deep.

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Speaker 1: I have a lot of thoughts about this, well breaking down, sister.

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Speaker 4: You cannot substitute human contact with human beings. We live

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Speaker 4: in a society now where people are just lazy. The

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Speaker 4: school systems are lazy. Everybody's lazy. So instead of them

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Speaker 4: being objective and actually looking at situations and actually making

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Speaker 4: decisions on situations, we live in a society where everybody

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Speaker 4: wants to make these blanketed rules. And when people make

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Speaker 4: these blanketed ass rules, a lot of times black and

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Speaker 4: brown and other people are not considered. When you make

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Speaker 4: these blanketed ass rules that that there's no child left

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Speaker 4: behind or or you know, your punishments and shit like that,

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Speaker 4: a lot of times, uh, they disportionately affect black and

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Speaker 4: brown kids. And so this is a way to integrate

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Speaker 4: that into people like a really really super early early age.

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Speaker 4: It's very dangerous. Like you said, there's no rules, there's

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Speaker 4: no regulations. The parents can't even consent and say I

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Speaker 4: don't don't want to monitoring my child. Because people grow,

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Speaker 4: people change, people evolve. You don't know what children are

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Speaker 4: going through with Let's say you do find out that

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Speaker 4: a child is going through depression. Are you gonna turn

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Speaker 4: around and actually get this child help or are you

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Speaker 4: gonna be or are you gonna tell the tell the thing.

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Speaker 4: We'll put this child on the list and don't get

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Speaker 4: no help, don't alert nobody or anything. And the thing is,

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Speaker 4: who makes these systems? Nine times out of ten, unless

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Speaker 4: some marginalized person goes out their way and dig into

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Speaker 4: the industry and do their own startup which takes capital,

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Speaker 4: their money and all this stuff, some white person is

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Speaker 4: gonna make this system. And white people don't think about nobody.

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Speaker 4: They just make shit and racism and sexism and all

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Speaker 4: the homophobias and all that stuff. They don't think about

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Speaker 4: that shit because as far as they're concerned, it's just

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Speaker 4: supposed to be a free slate or you know, to

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Speaker 4: do whatever the fuck you want to with it without

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Speaker 4: any rules or regulations, because that's what they consider freedom

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Speaker 4: because a lot of times they don't have to deal

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Speaker 4: with oppression and shit like that. And we've already know

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Speaker 4: that AI has a tendency to be biased and racist

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Speaker 4: and shit like that. People already get kicked off of

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Speaker 4: social media platforms that didn't have no recourse because you

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Speaker 4: can't talk to a person, which means you can't have

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Speaker 4: a person to use their critical thinking skills to analyze that,

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Speaker 4: you leaving it to ones and zeros and twos and

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Speaker 4: shit like that to calculate shit that a human being

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Speaker 4: needs to do. There's some things you cannot put in

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Speaker 4: the hand of a computer. You just can't. A computer

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Speaker 4: does not have emotions. A computer does not have empathy,

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Speaker 4: sympathy understanding on certain things. You cannot program that into

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Speaker 4: a computer. You just can't.

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Speaker 1: Yeah, and then also think about when you get banned

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Speaker 1: on Facebook or Twitter and how long it took them

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Speaker 1: to even figure that out, Like oh, and still to

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Speaker 1: this day some of the shit like they won't let

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Speaker 1: you say something like man or trash or white people

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Speaker 1: be crazy or some shit like that because they don't

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Speaker 1: understand the difference between that and saying something like black

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Speaker 1: people are inferior, you know, because whoever programmed that was

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Speaker 1: a person typically not of that experience and doesn't understand

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Speaker 1: context and nuance. It's you know, it's imagine a black

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Speaker 1: kid doesn't get into college because on some uh, one

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Speaker 1: of these one of these apps that they use, they

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Speaker 1: were messaging and they said the N word. You know what,

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Speaker 1: I mean something as little as that, where it's like, well,

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Speaker 1: we have a no inWORD rule because we don't want

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Speaker 1: people being racist, but it's not racist when I'm black

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Speaker 1: and I said to my to myself and my people, yeah,

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Speaker 1: we gonna have to ban this kid.

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Speaker 2: They're in trouble. So like, there's that you know already.

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Speaker 1: And we also have a tendency to say if a

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Speaker 1: computer ruled something, then that's the rule. And so I imagine,

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Speaker 1: imagine a kid tried to goes, hey, this computer is

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Speaker 1: pushing me towards there's a certain career path or certain

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Speaker 1: educational things, and I don't want to do that. What

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Speaker 1: a computer says that you have an aptitude for blank?

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Speaker 1: You know all the computer said that you did this. Well,

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Speaker 1: since the computer said, I guess we're fucking stuck here, right,

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Speaker 1: So yeah, I think that's that It can be very dangerous,

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Speaker 1: and most importantly, this is technology that we're still studying.

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Speaker 1: We are finding out social media can make people depressed.

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Speaker 1: We are finding out it can make you suicidal. We're

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Speaker 1: finding we're finding out it can make you angry, and

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Speaker 1: that people form into these anger hives and shit, you

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Speaker 1: know that you're you know that we're seeing the effects

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Speaker 1: of likes and retweets and making people like act out

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Speaker 1: and be bombastic and take things the worst possible way.

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Speaker 2: That's not a great educational environment.

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Speaker 1: So yeah, at all.

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Speaker 4: And the thing is, if you have these systems that

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Speaker 4: are fucking up grown adults whose brains are fully developed,

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Speaker 4: children brains are developing, which means they're learning who they are,

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Speaker 4: they're learning the outside world, they're experiencing things for the

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Speaker 4: first time, they're going through puberty, they're going through all

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Speaker 4: these things, and you're throwing something in there to basically

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Speaker 4: keep a track of every fuck up they do, every

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Speaker 4: wrong that they do, because nobody cares about the right shit.

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Speaker 4: Everybody wants to emphasize all the wrong shit people do

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Speaker 4: on when it comes to this shit. So you basically

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Speaker 4: have these system tracking and marking every single time you

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Speaker 4: fuck up and keeping the track of it and holding

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Speaker 4: you accountable for shit when your brain wasn't fucking developed.

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Speaker 4: You become an adult, you've grown, you change, you evolved,

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Speaker 4: and people want to go back and hold you accountable

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Speaker 4: for some shit that you did when your brain was

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Speaker 4: not developed.

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Speaker 1: Yeah, man, I really do wonder. Yeah, it's just it's

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Speaker 1: not have to say that technology is bad or evil

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Speaker 1: or that none of this shit can help. It's just

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Speaker 1: what is the regulation? How are we sure this is helping?

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Speaker 1: Because I don't think you can too. You can let

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Speaker 1: you know, especially after I read after the Gig, I

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Speaker 1: don't think you can let Silicon Valley self regulate. No,

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Speaker 1: there needs to be oversight somewhere, and hopefully that is happening,

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Speaker 1: But there needs to be oversight with the with the

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Speaker 1: concern of the children taking first place in that oversight.

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Speaker 1: It can't be well, how much money will the school

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Speaker 1: make or you know, how much will this save us?

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Speaker 1: It needs to be like, how is this affecting these kids?

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Speaker 1: Because if not, we are fucked.

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Speaker 4: Yeah, And then I was listening to NPR and they

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Speaker 4: talk about a lot of these systems and a lot

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Speaker 4: of these standardized testing things that they have, and they

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Speaker 4: were saying like they had some parents that were complaining

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Speaker 4: about some of the tests because some of the parents

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Speaker 4: who happen to be have high aptitudes and like docs

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Speaker 4: and very highly educated in certain fields, were realizing that

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Speaker 4: for some of the tests, all the answers were wrong

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Speaker 4: and they had to bring that up to the school system.

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Speaker 4: Going all the answers are wrong, my nigga, None of

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Speaker 4: these answers are correct, and y'all need to fix this.

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Speaker 4: But as far as eccher son, the computer said it.

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Speaker 4: So the computer with the computer says is right. But

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Speaker 4: that's not right. If there is, there should be a

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Speaker 4: correct answer on these tests. And the thing is that

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Speaker 4: meant to whoever programmed it probably programmed it to do that,

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Speaker 4: and by accident most likely, but then you never know.

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Speaker 1: Yeh, Psycho music, play us out. All right, let's get

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Speaker 1: into the news. All right, there's all kinds of stuff happening. Obviously, coronavirus.

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Speaker 1: News is happening. Coronavirus.

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Speaker 5: Yeah, ne shit, go five infrared crypto collaborate sean. Yeah,

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Speaker 5: motherfuckers can't gather no more, can't party no more. Movie

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Speaker 5: telling us over a thing up the past is so wrong.

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Speaker 5: And these motherfucker's not wearing masks sod or, they're wearing

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Speaker 5: under their nose.

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Speaker 6: And I'm like, huh, Roddy.

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Speaker 5: Cararing, I think you young gotta keep educating because the

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Speaker 5: leaders are acting stupid. It's fucking this nation, this pandemic

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Speaker 5: we're facing. We all we got in the shows. I

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Speaker 5: just got over this COVID and this shit ain't no joke,

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Speaker 5: but two hundred and twenty dozen plus they make it

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Speaker 5: like me, I'm not taking it for granted because this

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Speaker 5: shit is frightening. It's understated how basic the virtual learning is.

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Speaker 5: They don't give a dam about were not educating kids. Yeah,

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Speaker 5: the fuck that COVID nineteen.

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Speaker 4: It's unseen.

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Speaker 7: It's streeping in the anthle you to bring it.

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Speaker 4: Huh.

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Speaker 1: So, fuck that COVID nineteen. It's unsus.

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Speaker 3: Oh.

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Speaker 1: I'm so sick of this motherfucking coronavirus and this goddamn news.

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Speaker 1: I cleared out the queue yesterday, y'all. I we had

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Speaker 1: taken all that time off. I got it down as

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Speaker 1: zero stories zero.

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Speaker 4: I didn't know we got thun They're all my nigga.

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Speaker 1: It's been a day. There are so many fucking stories

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Speaker 1: right now. Ah, all right, let's get to it. Mark

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Speaker 1: Rubio accuses doctor Fauci of Lyne about masks coronavirus herd

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Speaker 1: immunity during an anti lockdown online rant. Mark Rubio like

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Speaker 1: these is like these are supposed to be the non

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Speaker 1: Trump quote unquote reasonable Republicans. Mark Rubio going on Twitter

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Speaker 1: talking shit about Donald Trump. I mean about Fauci and

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Speaker 1: being an anti mask. This is why, this is why

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Speaker 1: half this country doesn't because people like him have those scruples.

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Speaker 1: The people that follow him use this shit as evidence

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Speaker 1: that they can just go out and do whatever the

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Speaker 1: fuck they want. Spain is going to keep a registry

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Speaker 1: of those who refuse COVID vaccine. I like this idea.

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Speaker 1: It's the opposite, you know, because people go they gonna

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Speaker 1: give you that vaccines to market the beasts. I'm like,

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Speaker 1: you know what, not taking this should be the market

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Speaker 1: to beast. I wonna keep track of your ass. I

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Speaker 1: need to know where you at so I cannot be there. Like,

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Speaker 1: give me some of this surveillance capitalism. Please.

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Speaker 4: Most of the time, you know me, most of time

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Speaker 4: I'm anti list. But this time I'm like, yes, track them, track.

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Speaker 1: Them, Yeah, track they ass down. I need them because

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Speaker 1: you're a danger to the public at this point, Yes,

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Speaker 1: you are seeking the danger to the public. Two New

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Speaker 1: Jersey women arrested for holding a two hundred person party

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Speaker 1: with a makeshift bar. Two hundred good god, hundred people.

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Speaker 1: What are two hundred people even thinking to be going

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Speaker 1: out to something like that. I have turned around and

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Speaker 1: got in my car. When I went to the store

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Speaker 1: and too many people's in the parking lot. Come on,

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Speaker 1: not actual people, the cars, the cars. Too many cars

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Speaker 1: people like end of the day, parking lots two four.

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Speaker 1: I'll be back.

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Speaker 4: Too many people walking around.

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Speaker 1: You went into any space with two hundred actual human beings.

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Speaker 1: They thought this will be a good time. Let me

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Speaker 1: go to the makeshift bar, because you know it's not

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Speaker 1: a real it's not a real bar. Let me go.

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Speaker 4: Ain't nobody got no ABC licensed from the first so.

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Speaker 1: I can take off my mask and drink and in hell,

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Speaker 1: oh my god, this is crazy. New Jersey has recorded

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Speaker 1: over four hundred and sixty thousand cases of the novel disease,

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Speaker 1: with more than six thousand, seven hundred deaths. Right, we

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Speaker 1: got friends in New Jersey. You know what I mean,

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Speaker 1: Chris Lamber Hell Covan like, this is crazy God.

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Speaker 2: A three year old suffered a stroke from COVID nineteen.

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Speaker 4: A three year old had a stroke.

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Speaker 2: Yes, a year old who last stroke A whole last stroke? Well,

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Speaker 2: three year old stroke. However, three year olds have strokes.

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Speaker 1: They had he had one, so he recovered Christmas Day

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Speaker 1: and the family says it's the best Christmas present. They

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Speaker 1: ever had to, which I'm like, I agree, I'm glad

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Speaker 1: your child is okay, absolutely, but uh, we shouldn't have

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Speaker 1: to be in a situation where we're praying for three

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Speaker 1: year olds to recover from strokes. Like our country is

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Speaker 1: the fucking worst. Oh my god, we have let this

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Speaker 1: thing run rampid. Keep in mind, kids can't get it, right.

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Speaker 1: Wasn't that what everyone was saying, kids can't get it.

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Speaker 1: Let let the kids go back to school that we

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Speaker 1: don't have to worry about they don't die. I don't know,

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Speaker 1: three you all having a stroke?

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Speaker 4: IM kind of serious. I'm like, ghetto.

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Speaker 1: Sang, ghetto ghetto.

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Speaker 4: That shit fuck adults up and they don't ever recover

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Speaker 4: from a stroke.

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Speaker 1: I guess it's cool unless it's your three year old.

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Speaker 1: I guess you're waiting to take the chance with yo kids.

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Speaker 1: Like that's crazy, man, Like people have reduced this shit

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Speaker 1: to just numbers and very simple black and white. Yeah,

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Speaker 1: did you die? Did you die? But did you die?

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Speaker 8: No?

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Speaker 4: I didn't, but I got shit that's gonna last with

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Speaker 4: me for the rest of my life. This is life altering.

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Speaker 1: Did you die right? But did you die? Of did

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Speaker 1: you die?

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Speaker 4: You still breathing and you know, if you still breathing,

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Speaker 4: you know you're good. Shake it off, rub some testing

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Speaker 4: on it.

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Speaker 1: And China they have a covid app to see and

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Speaker 1: people are using the app to see what celebrities look

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Speaker 1: like in China that when they don't have a makeup,

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Speaker 1: cause you know, celebrities, they take like a to take

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Speaker 1: a selfie to join the app, and in many cases,

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Speaker 1: you just you know, take a quick selfie with your phone,

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Speaker 1: no makeup, no nothing, just so they could see how

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Speaker 1: you look. And people figured it out and they've just

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Speaker 1: been abusing the abusing the feature that allows them to

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Speaker 1: retrieve other people's records in order to peep at headshots

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Speaker 1: that celebrities took while they signed up for the service.

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Speaker 3: It's weird.

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Speaker 1: Mm hmmm, mm hmm.

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Speaker 3: That's sure you have obsessed people are with celebrities.

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Speaker 1: Yep. They're able to look up their names and identification numbers,

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Speaker 1: which could easily be found online, and so they've been

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Speaker 1: taking photos of top earning actresses like Fan Being Being

385
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Speaker 1: Yang Me and Lee she Uh and they've been posting

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Speaker 1: them online after they were accessed through the app. Members

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Speaker 1: of the pop idol band TF Boys have also got

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Speaker 1: their photos leaked.

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Speaker 4: Yeah, and something like you say, people create shit you

390
00:21:51,080 --> 00:21:53,720
Speaker 4: don't even think. Motherfucker's gonna do Like people will do

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Speaker 4: shit you don't even think of. So now we got

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Speaker 4: to go.

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Speaker 3: And band people from doing that bullshit.

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Speaker 1: Yep, So we always find them. People are gonna find it,

395
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Speaker 1: find a way.

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Speaker 4: To always loophole no matter how. But your intentions are

397
00:22:05,640 --> 00:22:09,399
Speaker 4: something would find a loophole, right, Like, So now you

398
00:22:09,440 --> 00:22:11,199
Speaker 4: get but I know you can't be just looking up

399
00:22:11,200 --> 00:22:14,240
Speaker 4: people's bools, look up your own shit, just logging in.

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Speaker 1: Hey girl, I just wanted to let you girls. You know, God,

401
00:22:16,880 --> 00:22:20,119
Speaker 1: I'm a real messy bitch, My messy bitch who lists

402
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Speaker 1: for drama.

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Speaker 2: Kamala Harris, Kamala Harris, go ahead.

404
00:22:25,000 --> 00:22:28,160
Speaker 4: And the thing is people they probably wouldn't mind, but

405
00:22:28,480 --> 00:22:30,400
Speaker 4: people harassed them, and that's the problem.

406
00:22:30,880 --> 00:22:32,639
Speaker 1: Like, now I have to deal with you harassing me.

407
00:22:33,680 --> 00:22:37,600
Speaker 1: Kamala Harris receives the first dose of COVID nineteen vaccine

408
00:22:37,600 --> 00:22:41,879
Speaker 1: on national TV. Shout out to a real leader. And

409
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Speaker 1: I know that's extra pressure on her as a black woman,

410
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Speaker 1: because our community is the one that is most ravaged

411
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Speaker 1: by and the most skeptical. So it's It's like a

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Speaker 1: lot of prominent black people are gonna have to be like, listen,

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Speaker 1: I wouldn't take this shit if I didn't think it

414
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Speaker 1: was safe. Right. Vaccine passed for to be used for

415
00:23:00,920 --> 00:23:03,760
Speaker 1: travel and interest to entrance to events, and it may

416
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Speaker 1: be available early next year.

417
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Speaker 4: Yeah, yeah, gonna be you know, it may get to

418
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Speaker 4: the point to where people might start touring and shit again,

419
00:23:13,560 --> 00:23:15,920
Speaker 4: you know, having consocs and shit again, and they give

420
00:23:16,040 --> 00:23:18,080
Speaker 4: like you're gonna have to approve that you took that

421
00:23:18,119 --> 00:23:19,840
Speaker 4: shot in order to bring your ass in here.

422
00:23:20,680 --> 00:23:20,960
Speaker 1: Yep.

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Speaker 4: And if you come in there and you haven't got

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Speaker 4: it there, there has to be something of a penalty

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Speaker 4: because if I get the shot and I do everything

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Speaker 4: I'm supposed to do and you bring your non your

427
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Speaker 4: COVID ass up in there, yes, it's gonna be a

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Speaker 4: goddamn problem.

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Speaker 1: Major tech companies are working to create smartphone apps that

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Speaker 1: would allow users to upload their vaccine and COVID nineteen information.

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00:23:40,800 --> 00:23:43,359
Speaker 1: According to cee it inn, experts say this may be

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Speaker 1: a requirement soon for travel and to innerspaces like movie

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Speaker 1: theaters and concerts. Yeah, I mean, I'm sure some people

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Speaker 1: will forge it. It sounds like there will probably be

435
00:23:52,760 --> 00:23:56,240
Speaker 1: working rounds I know with the Hornets, like they have

436
00:23:56,320 --> 00:23:58,720
Speaker 1: an app for tickets, but I could send a screen

437
00:23:58,760 --> 00:24:01,520
Speaker 1: shot if someone could use my screenshot to get get

438
00:24:01,560 --> 00:24:02,919
Speaker 1: in the game with the ticket.

439
00:24:03,040 --> 00:24:04,640
Speaker 2: So I don't know what they.

440
00:24:04,520 --> 00:24:08,159
Speaker 1: Would do for security wise to stop that kind of stuff,

441
00:24:08,200 --> 00:24:11,040
Speaker 1: but it is an interesting or just someone takes someone

442
00:24:11,040 --> 00:24:13,800
Speaker 1: else's phone or something, but it's an interesting idea, the

443
00:24:14,000 --> 00:24:19,160
Speaker 1: idea of this passport and something that unfortunately we may

444
00:24:19,280 --> 00:24:21,840
Speaker 1: end up having to need in America because we have

445
00:24:21,960 --> 00:24:24,840
Speaker 1: so many people who won't comply and we can't do

446
00:24:24,920 --> 00:24:27,679
Speaker 1: the honor system. We can't trust people because they'll you know,

447
00:24:28,280 --> 00:24:30,920
Speaker 1: but motherfucker will go to Thanksgiving and get their grandmama sick.

448
00:24:31,080 --> 00:24:32,240
Speaker 1: They'll go to the movies.

449
00:24:32,800 --> 00:24:34,639
Speaker 3: They'll go to a concert twice.

450
00:24:34,720 --> 00:24:37,360
Speaker 1: Yeah, they go to a club. Then they'll go they're

451
00:24:37,359 --> 00:24:39,120
Speaker 1: gonna go to work, They're gonna go everywhere.

452
00:24:39,160 --> 00:24:41,360
Speaker 4: Come on, they pack a strip club. They don't care

453
00:24:41,400 --> 00:24:42,920
Speaker 4: nothing about you or your safety.

454
00:24:43,440 --> 00:24:46,600
Speaker 1: COVID nineteen long haulers are experiencing a new symptom and

455
00:24:46,800 --> 00:24:48,119
Speaker 1: unpleasant fishy odor.

456
00:24:48,640 --> 00:24:56,280
Speaker 4: Oh you already losing hair, losing teeth, having muscle spasms,

457
00:24:56,720 --> 00:24:59,480
Speaker 4: can't smell, can't taste, and now I got to smell

458
00:24:59,560 --> 00:24:59,960
Speaker 4: like fish.

459
00:25:00,160 --> 00:25:02,520
Speaker 2: Tell well, you don't smell like fish.

460
00:25:02,920 --> 00:25:06,520
Speaker 1: You start smelling stuff, and that stuff starts smelling like fish.

461
00:25:06,920 --> 00:25:09,480
Speaker 4: Oh okay, I thought the older was coming from you.

462
00:25:09,520 --> 00:25:13,199
Speaker 1: No, it's a shift in perception of odors such as

463
00:25:13,240 --> 00:25:17,480
Speaker 1: a wet, pleasant smell, or something now smells foul. Doctor

464
00:25:17,520 --> 00:25:20,560
Speaker 1: Susan shan and, the assistant Professor of Neurology at Mount

465
00:25:20,600 --> 00:25:23,840
Speaker 1: Sinai Hospital, previously elaborate on sense its smell the Fox News.

466
00:25:24,119 --> 00:25:26,560
Speaker 1: There are two sensory systems in our nose. We are

467
00:25:26,600 --> 00:25:29,040
Speaker 1: able to detect pleasant fragrances by the way of the

468
00:25:29,080 --> 00:25:32,560
Speaker 1: old factory nerve, whereas dangerous toxic smells are detected by

469
00:25:32,640 --> 00:25:39,359
Speaker 1: the trigeminal nerve. The trigeminal nerve is likely more resilient

470
00:25:39,480 --> 00:25:41,679
Speaker 1: to the effects of a viral pathogen compared to the

471
00:25:41,760 --> 00:25:44,680
Speaker 1: old factory nerve because we needed to detect dangers in

472
00:25:44,720 --> 00:25:48,919
Speaker 1: our environment, such as smelling smoke from a fire. So

473
00:25:49,000 --> 00:25:51,320
Speaker 1: I guess people are now.

474
00:25:51,520 --> 00:25:54,000
Speaker 4: Because it messes with your brain. So it messes with

475
00:25:54,160 --> 00:25:57,800
Speaker 4: with you know, with it does something to those senses,

476
00:25:57,840 --> 00:25:59,800
Speaker 4: and so all of a sudden you just smell on

477
00:25:59,840 --> 00:26:01,120
Speaker 4: all types of crazy shit.

478
00:26:01,640 --> 00:26:03,360
Speaker 1: Yeah, it reminds me of one of my favorite episodes

479
00:26:03,359 --> 00:26:07,720
Speaker 1: of Futuramo with doctor Zeiberg met a woman and fell

480
00:26:08,000 --> 00:26:10,480
Speaker 1: She fell in love with him because she didn't have

481
00:26:10,520 --> 00:26:13,879
Speaker 1: a nose, But then she did get a nose at

482
00:26:13,920 --> 00:26:16,560
Speaker 1: the end of the episode that she could smell. And

483
00:26:16,640 --> 00:26:19,280
Speaker 1: you know, he's a crustacean and he'd be living in

484
00:26:19,320 --> 00:26:22,440
Speaker 1: the trash cans and shit, and he was worried that

485
00:26:22,960 --> 00:26:27,439
Speaker 1: she she would hate him, but then she hated the

486
00:26:27,480 --> 00:26:29,880
Speaker 1: smell of flowers and she loved the smell of him

487
00:26:30,200 --> 00:26:33,480
Speaker 1: or trash so's. But it's kind of like that, like

488
00:26:33,520 --> 00:26:35,280
Speaker 1: what if it leave you with a nose where you

489
00:26:35,440 --> 00:26:39,639
Speaker 1: like listen, you know things that used to be the

490
00:26:39,680 --> 00:26:43,080
Speaker 1: piece of smells like trash to me now, like you

491
00:26:43,080 --> 00:26:43,600
Speaker 1: know what I like?

492
00:26:43,720 --> 00:26:45,359
Speaker 4: I like that piece away from me.

493
00:26:45,480 --> 00:26:48,200
Speaker 1: You know what, I can't wait to eat some motherfucker chitling's. Okay,

494
00:26:48,320 --> 00:26:51,359
Speaker 1: chitlins smell delicious to me. Now, what would you do?

495
00:26:52,240 --> 00:26:54,080
Speaker 1: Everything about the disease is just some shit.

496
00:26:53,960 --> 00:26:57,119
Speaker 4: I don't want, do not want.

497
00:26:57,960 --> 00:27:00,840
Speaker 1: Former Tyson Food manager says it that COVID nineteen bet

498
00:27:00,920 --> 00:27:07,879
Speaker 1: was a morale booster, but oh bitch, Oh, we actually

499
00:27:07,880 --> 00:27:10,040
Speaker 1: worked very hard took care of our team members. Well.

500
00:27:10,080 --> 00:27:13,080
Speaker 1: He claims that the bet came about after the leadership

501
00:27:13,080 --> 00:27:17,000
Speaker 1: staff became overworked the task with keeping employees safe. It

502
00:27:17,119 --> 00:27:19,520
Speaker 1: was a group of exhausted supervisors that had worked so

503
00:27:19,560 --> 00:27:22,320
Speaker 1: hard and so smart to solve many unsolvable problems. It

504
00:27:22,400 --> 00:27:25,280
Speaker 1: was simply something fun, kind of a morale boost for

505
00:27:25,359 --> 00:27:28,040
Speaker 1: having put forth an incredible effort. There was never any

506
00:27:28,040 --> 00:27:30,560
Speaker 1: malicious intent. It was never meant to disparage anyone.

507
00:27:31,560 --> 00:27:33,600
Speaker 4: You didn't get fired for not even coming up with

508
00:27:33,640 --> 00:27:36,840
Speaker 4: a real good excuse. That's not no goddamn morale booster.

509
00:27:37,520 --> 00:27:41,400
Speaker 4: Y'all betting on people dying and catching coronavirus and they're

510
00:27:41,400 --> 00:27:42,639
Speaker 4: not getting no money out of this.

511
00:27:43,560 --> 00:27:45,960
Speaker 1: Yeah, this is like saying, you play for the Knicks

512
00:27:46,000 --> 00:27:49,399
Speaker 1: and y'all have a morale boost on how many games

513
00:27:49,400 --> 00:27:51,680
Speaker 1: you're gonna lose or how many shots you're gonna miss.

514
00:27:51,840 --> 00:27:53,919
Speaker 1: Because it's not like they said the opposite, which is,

515
00:27:54,320 --> 00:27:58,120
Speaker 1: let's have a morale boost of the positive. How many

516
00:27:58,200 --> 00:28:01,119
Speaker 1: shots would we make, how many games can we win? No,

517
00:28:01,280 --> 00:28:04,280
Speaker 1: you went to the negative. How many people gonna die?

518
00:28:04,720 --> 00:28:05,440
Speaker 4: Gonna die?

519
00:28:05,880 --> 00:28:08,560
Speaker 1: How were you boosting morale making a bet. No, you

520
00:28:08,600 --> 00:28:11,320
Speaker 1: know what you say twenty, I'm gonna go thirty. That's

521
00:28:11,359 --> 00:28:12,040
Speaker 1: not a morale.

522
00:28:12,160 --> 00:28:13,800
Speaker 4: Bus What the fuck?

523
00:28:14,400 --> 00:28:17,800
Speaker 1: That is ridiculous? Oh man, they gonna lose that lasuit.

524
00:28:17,880 --> 00:28:19,320
Speaker 4: Yew, y'all got a gambling problem.

525
00:28:19,400 --> 00:28:22,040
Speaker 1: Sounds like they've already been fired, so they gonna lose

526
00:28:22,040 --> 00:28:27,520
Speaker 1: that lawsuit. Uh. The US just got our first reported

527
00:28:27,600 --> 00:28:30,760
Speaker 1: case of the new strain, the new more contagious strain

528
00:28:30,840 --> 00:28:46,960
Speaker 1: of the coronavirus. We did it, y'all.

529
00:28:46,760 --> 00:28:49,040
Speaker 4: We can't even handle the old one. What the hell

530
00:28:49,040 --> 00:28:50,080
Speaker 4: we're gonna do with a new one?

531
00:28:50,920 --> 00:28:51,920
Speaker 2: Yup, Colorado?

532
00:28:53,440 --> 00:28:57,160
Speaker 1: Uh? Joe Biden criticizes the pace of the vaccine rollout

533
00:28:57,320 --> 00:29:01,400
Speaker 1: and vowels to accelerate. Hey, remember this thing called Operation

534
00:29:01,760 --> 00:29:06,200
Speaker 1: Warp Speed. Remember y'all, how was I supposed to get

535
00:29:06,240 --> 00:29:09,400
Speaker 1: everything straight? We was gonna get the everything, get the

536
00:29:09,480 --> 00:29:13,240
Speaker 1: vaccine out there. It wasn't necessarily about creating a vaccine,

537
00:29:13,240 --> 00:29:16,200
Speaker 1: but making it so that they can be easily distributed right away.

538
00:29:16,680 --> 00:29:19,320
Speaker 1: And now we've only distributed like, you know, a million

539
00:29:19,400 --> 00:29:21,680
Speaker 1: or so, and we're supposed to have twenty million by

540
00:29:21,720 --> 00:29:22,320
Speaker 1: the end of the year.

541
00:29:22,400 --> 00:29:26,000
Speaker 3: Remember that, y'all, I do I do, and so can remembers.

542
00:29:27,000 --> 00:29:28,200
Speaker 3: That's why I said it's.

543
00:29:28,080 --> 00:29:31,160
Speaker 4: Going to be twenty twenty two, possibly twenty twenty three

544
00:29:31,320 --> 00:29:34,720
Speaker 4: before you know, everything gets right, because you got people

545
00:29:34,800 --> 00:29:37,280
Speaker 4: they're going you can take it. They're gonna nah, nigga,

546
00:29:37,280 --> 00:29:39,719
Speaker 4: I'm good. They was like, but your whole job is

547
00:29:40,000 --> 00:29:43,640
Speaker 4: around coronavirus patients like you and their faces every day breathing,

548
00:29:43,640 --> 00:29:45,840
Speaker 4: and they like, nah, you have to. I think we

549
00:29:45,920 --> 00:29:47,840
Speaker 4: got to get like sixty or seventy percent of the

550
00:29:47,880 --> 00:29:53,920
Speaker 4: population to take this shit. For the herd herd community,

551
00:29:53,960 --> 00:29:56,480
Speaker 4: thank you. But people acting like I wait for the

552
00:29:56,520 --> 00:29:58,240
Speaker 4: herd immunity bitch ain't gonna be one of the people.

553
00:29:58,280 --> 00:29:59,240
Speaker 4: Don't get the shots.

554
00:30:00,160 --> 00:30:03,200
Speaker 1: Yep. So Biden said he'll accelerate the pace. And the

555
00:30:03,320 --> 00:30:07,720
Speaker 1: thing I keep thinking is this, dude, President Trump sabotaged

556
00:30:08,000 --> 00:30:13,120
Speaker 1: the mailing system so that he could try to steal

557
00:30:13,160 --> 00:30:16,640
Speaker 1: the election, and the effects of that are still going on.

558
00:30:16,680 --> 00:30:18,560
Speaker 2: I still actually have packages.

559
00:30:18,120 --> 00:30:23,080
Speaker 1: Of things I ordered before, like in October and November.

560
00:30:23,560 --> 00:30:26,040
Speaker 1: They have not arrived, and I don't know if they'll

561
00:30:26,040 --> 00:30:26,640
Speaker 1: ever arrive.

562
00:30:26,880 --> 00:30:30,600
Speaker 4: That's what so many people are saying. And I'm gonna

563
00:30:30,600 --> 00:30:32,840
Speaker 4: tell you right now, it's so many people that are

564
00:30:32,920 --> 00:30:37,400
Speaker 4: show so short sighted and they don't pay attention. They're

565
00:30:37,400 --> 00:30:40,440
Speaker 4: blaming the postal service. Do you know the postal service

566
00:30:40,520 --> 00:30:43,760
Speaker 4: used to run like clockwork. You never had a problem

567
00:30:43,760 --> 00:30:46,120
Speaker 4: with the postal service. Yeah, you might have a few

568
00:30:46,120 --> 00:30:49,800
Speaker 4: problems here and there, but the postal service was very dependable.

569
00:30:50,240 --> 00:30:52,320
Speaker 4: That bullshit they was doing where they was like, we're

570
00:30:52,360 --> 00:30:55,760
Speaker 4: gonna take the machine down and you know, you know,

571
00:30:56,000 --> 00:30:59,640
Speaker 4: know overtime and couldn't staff down. This is the end

572
00:31:00,160 --> 00:31:03,640
Speaker 4: result of that. This right here, bitch, is the end

573
00:31:03,720 --> 00:31:06,400
Speaker 4: result of that. And you have employees that I catch

574
00:31:06,440 --> 00:31:09,800
Speaker 4: in the coronavirus at the height of the season, which

575
00:31:09,880 --> 00:31:15,680
Speaker 4: is Christmas, you know, because the thing is, if he

576
00:31:15,720 --> 00:31:18,680
Speaker 4: would have left everything alone, you wouldn't have all these delays.

577
00:31:18,720 --> 00:31:21,520
Speaker 4: You have people they all have been waiting months for packages,

578
00:31:21,560 --> 00:31:23,880
Speaker 4: they have been waiting for medications and all this shit

579
00:31:23,920 --> 00:31:27,200
Speaker 4: and all us doing is taking money that the post

580
00:31:27,240 --> 00:31:29,760
Speaker 4: Office would have gotten, pushing into the private sector, which

581
00:31:29,880 --> 00:31:32,480
Speaker 4: charges two and three and four and five times the

582
00:31:32,600 --> 00:31:35,720
Speaker 4: rate of the United States Postal Service.

583
00:31:36,840 --> 00:31:41,840
Speaker 1: Right, this is insane. And who knows if they hadn't

584
00:31:41,880 --> 00:31:44,760
Speaker 1: done that, how much better the rollout would because people

585
00:31:44,800 --> 00:31:48,280
Speaker 1: keep going well FedEx is responsible for it, like FedEx

586
00:31:48,360 --> 00:31:51,160
Speaker 1: is responsible because one of the post service couldn't handle it.

587
00:31:51,400 --> 00:31:53,720
Speaker 2: But fed X use a lot of Postal service shit.

588
00:31:54,080 --> 00:31:57,760
Speaker 4: Yes it is from the postal service.

589
00:31:58,080 --> 00:32:00,520
Speaker 1: We're talking about people. At some point, I ain't needing

590
00:32:00,600 --> 00:32:04,640
Speaker 1: hundreds of millions of doses of this shit? Are you serious?

591
00:32:06,800 --> 00:32:09,000
Speaker 1: Joe Biden? But yeah, he criticized the pace the roll

592
00:32:09,040 --> 00:32:11,160
Speaker 1: out and said that he's gonna, you know, speed it

593
00:32:11,240 --> 00:32:11,840
Speaker 1: up when he's in.

594
00:32:12,040 --> 00:32:14,640
Speaker 4: Yeah, yeah, I know. So it's sometimes I think people

595
00:32:14,640 --> 00:32:17,280
Speaker 4: don't don't really understand how the postal service works. Do

596
00:32:17,360 --> 00:32:20,160
Speaker 4: you know that the Postal Service go to every ind

597
00:32:20,200 --> 00:32:24,800
Speaker 4: the visual house, every individual home po box. The Postal

598
00:32:24,840 --> 00:32:27,840
Speaker 4: Service goes way out in the middle of fucking Timbuk

599
00:32:27,920 --> 00:32:30,480
Speaker 4: to nowhere. The Postal Service does that. And guess what,

600
00:32:30,480 --> 00:32:34,040
Speaker 4: they don't charge extra fees for shipping and all that.

601
00:32:34,040 --> 00:32:36,880
Speaker 4: They don't charge none of that the Postal Service. They

602
00:32:36,920 --> 00:32:39,840
Speaker 4: don't charge none of that and everybody to go to ups.

603
00:32:39,840 --> 00:32:42,360
Speaker 4: Do you know the same thing the charge costs you

604
00:32:42,400 --> 00:32:44,960
Speaker 4: three dollars twenty five cent to ship through the Postal Service,

605
00:32:44,960 --> 00:32:48,360
Speaker 4: will charge you fourteen ninety five through these other services

606
00:32:48,360 --> 00:32:50,320
Speaker 4: because they want to charge you all these fees.

607
00:32:51,600 --> 00:32:55,520
Speaker 1: Uh puff Daddy provided some COVID nineteen relief for Miami neighborhood.

608
00:32:56,320 --> 00:32:59,200
Speaker 1: He was handed out fifty dollars bills and fifty dollars

609
00:32:59,200 --> 00:33:04,320
Speaker 1: public supermarket gift cards and bass containing hygiene products. He

610
00:33:04,400 --> 00:33:07,080
Speaker 1: got on a mask and gloves, but he did walk

611
00:33:07,120 --> 00:33:13,240
Speaker 1: through the crowd and meet people. His charitable foundations also

612
00:33:13,240 --> 00:33:17,400
Speaker 1: working with Miami Music Festival Nightlife organizer Michael Gardner and

613
00:33:17,480 --> 00:33:24,520
Speaker 1: the local group Teens Exercising Extraordinary Success to provide rental

614
00:33:24,560 --> 00:33:28,840
Speaker 1: assistance for one hundred and seventy five families. So good

615
00:33:28,880 --> 00:33:32,600
Speaker 1: for him, Glad to see him helping. You know, we

616
00:33:32,680 --> 00:33:37,200
Speaker 1: love you know, we love to see it. Honestly, No sorry,

617
00:33:37,240 --> 00:33:42,400
Speaker 1: no jokes, no shade, nothing. We need that, honestly. We

618
00:33:42,440 --> 00:33:44,800
Speaker 1: need more people like that.

619
00:33:44,880 --> 00:33:46,800
Speaker 4: And it's sad that people like him have to step

620
00:33:46,840 --> 00:33:49,800
Speaker 4: in because the federal government do their jobs right.

621
00:33:50,200 --> 00:33:57,240
Speaker 1: So hopefully people will, you know, continue to do stuff

622
00:33:57,280 --> 00:34:00,600
Speaker 1: like that, because yeah, Donald Trump's definitely not gonna if

623
00:34:00,640 --> 00:34:02,760
Speaker 1: you waiting on Donald Trump, or you're waiting on Florida

624
00:34:03,480 --> 00:34:07,920
Speaker 1: to get his ship together, dang, Nope, Yeah, you're never

625
00:34:08,000 --> 00:34:12,040
Speaker 1: gonna never gonna get it. Matter of fact, actually Jay

626
00:34:12,080 --> 00:34:16,919
Speaker 1: Will Smith, y'all talking. But the only thing I'm listening

627
00:34:16,920 --> 00:34:17,680
Speaker 1: listening to that paper.

628
00:34:19,640 --> 00:34:21,520
Speaker 6: Every day we didn't see that paper.

629
00:34:25,800 --> 00:34:26,920
Speaker 7: I hear the money talk.

630
00:34:27,000 --> 00:34:27,880
Speaker 1: I see your letter.

631
00:34:32,400 --> 00:34:39,040
Speaker 5: Every day we get in that paper, I hear the

632
00:34:39,160 --> 00:34:40,600
Speaker 5: money talk and see your letter.

633
00:34:43,040 --> 00:34:50,560
Speaker 1: I'm gonna, yeah, absolutely gotta give a shout out to

634
00:34:50,560 --> 00:34:55,000
Speaker 1: that black capitalism because that's all that is, okay, helping

635
00:34:55,080 --> 00:34:58,560
Speaker 1: them out. Uh, mask is the are the key to

636
00:34:58,680 --> 00:35:01,160
Speaker 1: Japan keeping their the case load low?

637
00:35:03,480 --> 00:35:04,880
Speaker 7: What a thought?

638
00:35:05,480 --> 00:35:14,880
Speaker 1: Who would have thought if only we knew that? Imagine? Ah, yep, yep.

639
00:35:16,360 --> 00:35:19,840
Speaker 4: Wow, wow, that's what America going.

640
00:35:19,840 --> 00:35:26,120
Speaker 1: Wow yep. Though Japanese they had so coronavirus reached them

641
00:35:26,160 --> 00:35:30,879
Speaker 1: because of a Disney Princess cruise ship luctionury cruise ship

642
00:35:30,920 --> 00:35:35,440
Speaker 1: called the Disney Princess, and like twelve people died on

643
00:35:35,520 --> 00:35:38,520
Speaker 1: the ship, seven hundred and twelve people were infected out

644
00:35:38,520 --> 00:35:41,840
Speaker 1: of three thy seven hundred and eleven people, and the

645
00:35:42,480 --> 00:35:44,839
Speaker 1: health officials were accused of watching the handling of the ship.

646
00:35:44,920 --> 00:35:48,799
Speaker 1: The country has gone through the pandemic though, and it

647
00:35:48,840 --> 00:35:51,760
Speaker 1: has been spared dangerous surgeons seen in the US and Europe.

648
00:35:52,920 --> 00:35:55,520
Speaker 1: By mid December, they reported one hundred and thirty eight

649
00:35:55,640 --> 00:35:58,120
Speaker 1: cases per one hundred thousand people in the population.

650
00:35:58,719 --> 00:35:59,840
Speaker 2: Still, daily cases.

651
00:35:59,600 --> 00:36:02,880
Speaker 1: Are now up in twenty five hundred, prompting renewed fears

652
00:36:02,880 --> 00:36:05,440
Speaker 1: that things might get worse. Experts say the widespread use

653
00:36:05,480 --> 00:36:08,280
Speaker 1: of masks has been the key to reducing the caseload

654
00:36:08,320 --> 00:36:11,560
Speaker 1: in Japan. The country has certain other advantages. People naturally

655
00:36:11,600 --> 00:36:14,879
Speaker 1: bow instead of exchanging handshakes or kisses and kick off

656
00:36:14,880 --> 00:36:18,319
Speaker 1: the shoes at home. Public health care is affordable as well.

657
00:36:18,840 --> 00:36:21,719
Speaker 1: Authorities haven't started a strong system for infection tracing, and

658
00:36:21,800 --> 00:36:24,600
Speaker 1: the public has heated calls to avoid the three seeds,

659
00:36:24,640 --> 00:36:26,680
Speaker 1: close distance, close face, and close conversation.

660
00:36:27,320 --> 00:36:30,040
Speaker 4: Yeah, and over. In Japan, it is custom to wear

661
00:36:30,120 --> 00:36:32,400
Speaker 4: masks anyway, like a lot of it. Like if somebody

662
00:36:32,400 --> 00:36:34,840
Speaker 4: catches the cold to get sick, they will wear a mask.

663
00:36:35,200 --> 00:36:37,759
Speaker 4: They wear a mask when they kind of walk around like,

664
00:36:37,880 --> 00:36:41,919
Speaker 4: so it is part of their customs. So for them,

665
00:36:42,040 --> 00:36:44,000
Speaker 4: it's not a big thing for them to wear masks,

666
00:36:44,000 --> 00:36:45,600
Speaker 4: you know, versus over here people that act like if

667
00:36:45,640 --> 00:36:47,719
Speaker 4: they if they can't see your motherfucking faces, that god

668
00:36:47,800 --> 00:36:49,000
Speaker 4: damn into the world.

669
00:36:49,280 --> 00:36:51,800
Speaker 1: And they've never had an official lockdown.

670
00:36:53,200 --> 00:36:55,120
Speaker 2: They've only encouraged people to lock down.

671
00:36:56,080 --> 00:36:58,800
Speaker 1: Many people defied the uphills and commuted on crowded trains

672
00:36:58,800 --> 00:37:02,200
Speaker 1: and dined the eateries that were ain't open. Patients, many

673
00:37:02,239 --> 00:37:04,759
Speaker 1: of them elderly, filled hospital beds and medical systems on

674
00:37:04,800 --> 00:37:07,399
Speaker 1: the verge of collapse, a med dire shortages of protective gear,

675
00:37:07,680 --> 00:37:10,319
Speaker 1: but the infections leveled off in May, and former Prime

676
00:37:10,360 --> 00:37:17,600
Speaker 1: Minister Shenzo Abby Uh probably called it the japan model success.

677
00:37:18,080 --> 00:37:23,120
Speaker 1: So yeah, they basically use masks because they already had

678
00:37:23,440 --> 00:37:28,040
Speaker 1: culturally were built into us a mask. Uh. Florida roll

679
00:37:28,080 --> 00:37:31,400
Speaker 1: out of the vaccine. It's terrible, long lines, crashing websites,

680
00:37:31,440 --> 00:37:36,279
Speaker 1: conflicting information, and of course they have the most seniors

681
00:37:36,280 --> 00:37:40,680
Speaker 1: in America. Yeah, that's yeah, I'm sure nothing bad will

682
00:37:40,680 --> 00:37:40,920
Speaker 1: come on.

683
00:37:41,200 --> 00:37:43,600
Speaker 4: And then Ain't Florida where the woman was coming out

684
00:37:43,600 --> 00:37:45,319
Speaker 4: with the numbers and they was like, you can't be

685
00:37:45,400 --> 00:37:46,800
Speaker 4: telling everybody the truth, bitch.

686
00:37:47,000 --> 00:37:50,480
Speaker 1: Yeah, beat it said the cost to our house. And

687
00:37:50,600 --> 00:37:53,719
Speaker 1: uh in La they're running out of pine for coffins

688
00:37:55,680 --> 00:38:00,680
Speaker 1: because the COVID is on them so bad.

689
00:38:01,520 --> 00:38:03,640
Speaker 4: No, I didn't know coffins was made out of pine,

690
00:38:03,719 --> 00:38:05,440
Speaker 4: but apparently it is.

691
00:38:05,480 --> 00:38:06,480
Speaker 3: And it's the problem now.

692
00:38:06,960 --> 00:38:08,680
Speaker 1: Yeah, I mean I've heard that before. I put somebody

693
00:38:08,680 --> 00:38:11,600
Speaker 1: in a pine box, you know, I've seen heard that before. Ah,

694
00:38:11,640 --> 00:38:14,399
Speaker 1: when they talk about a coffin, No funeral funeral home

695
00:38:14,440 --> 00:38:16,879
Speaker 1: around here has a large has it contained a large

696
00:38:16,960 --> 00:38:18,759
Speaker 1: enough to accommodate the number of people who are dying

697
00:38:18,760 --> 00:38:23,520
Speaker 1: from covid.

698
00:38:22,440 --> 00:38:24,480
Speaker 4: M, Which means a lot of people want to have

699
00:38:24,520 --> 00:38:27,920
Speaker 4: funerals because, you know, because.

700
00:38:27,719 --> 00:38:32,400
Speaker 1: If the hospitals are overwhelmed, where where do these people go?

701
00:38:32,960 --> 00:38:37,279
Speaker 1: If LA they're literally saying, we're rational in healthcare to

702
00:38:37,320 --> 00:38:40,920
Speaker 1: the point where, uh yeah, if you come in here

703
00:38:40,920 --> 00:38:44,279
Speaker 1: with emergency, uh you, we might just have to be

704
00:38:44,360 --> 00:38:46,839
Speaker 1: like no beds, you gotta die, go home, get luck,

705
00:38:47,960 --> 00:38:50,839
Speaker 1: and uh yeah. If they're doing that, then that means

706
00:38:50,840 --> 00:38:54,319
Speaker 1: the funeral home system is gonna also be overwhelmed.

707
00:38:54,880 --> 00:38:59,200
Speaker 4: Mm hmmm, hmmm mm hmm. Yeah, yeah, which means that

708
00:38:59,320 --> 00:39:03,719
Speaker 4: for some people that's still planning or or desire to

709
00:39:03,920 --> 00:39:06,360
Speaker 4: have some form of a burial service and they're not

710
00:39:06,480 --> 00:39:08,640
Speaker 4: able to do it because so many people are dying.

711
00:39:08,880 --> 00:39:11,319
Speaker 4: And the thing is, some people are just dying from

712
00:39:11,360 --> 00:39:13,840
Speaker 4: regular ass causes of just being old or whatever the

713
00:39:13,880 --> 00:39:18,680
Speaker 4: case may be. But but because you have this uh increase,

714
00:39:19,120 --> 00:39:22,640
Speaker 4: uh people dying to COVID, it becomes a problem for

715
00:39:22,680 --> 00:39:23,720
Speaker 4: everybody getting the casting.

716
00:39:23,800 --> 00:39:31,279
Speaker 1: Now, yep, all right, let's get into some other news,

717
00:39:32,400 --> 00:39:38,879
Speaker 1: should we go? Uh oh, yeah, you know what, let's

718
00:39:38,920 --> 00:39:42,719
Speaker 1: do some lgbt Q news.

719
00:39:44,239 --> 00:39:45,160
Speaker 7: What you want to be?

720
00:39:46,080 --> 00:39:49,960
Speaker 9: You better move your fighting, you better move you and

721
00:39:50,040 --> 00:39:52,239
Speaker 9: I want to cool and show me.

722
00:39:53,800 --> 00:39:54,640
Speaker 6: Riding and carrying.

723
00:39:54,719 --> 00:40:18,000
Speaker 1: Baby. I'm still I love it. We are entering LGBTQ

724
00:40:18,160 --> 00:40:21,440
Speaker 1: news with a bot now that makes it uh, you know,

725
00:40:22,480 --> 00:40:25,040
Speaker 1: makes you feel like it's not gonna be terrible, right,

726
00:40:25,200 --> 00:40:29,280
Speaker 1: But it is though, Uh, let's see. Uh, the pandemic

727
00:40:29,360 --> 00:40:31,960
Speaker 1: is hitting LGBTQ families harder than straight people.

728
00:40:33,560 --> 00:40:34,160
Speaker 4: I believe that.

729
00:40:34,520 --> 00:40:38,440
Speaker 1: Yeah, I think, you know, especially for us woke woke people,

730
00:40:38,719 --> 00:40:42,560
Speaker 1: quote unquote liberal people, whatever label you're putting on us.

731
00:40:43,200 --> 00:40:46,200
Speaker 1: You know, there's certain news where you're just like, I'm

732
00:40:46,239 --> 00:40:49,600
Speaker 1: glad that you know, gay people are out earning U

733
00:40:50,000 --> 00:40:52,160
Speaker 1: straight people. I'm glad to hear that their families are

734
00:40:52,160 --> 00:40:54,840
Speaker 1: doing better, their marriage is doing better because they deserve

735
00:40:54,960 --> 00:40:58,719
Speaker 1: something in a society that is so fucking rigged against them. Right.

736
00:40:59,600 --> 00:41:02,560
Speaker 1: But then, and there's other things where you know, the

737
00:41:02,600 --> 00:41:04,600
Speaker 1: assumption would be like, well, they must be doing great

738
00:41:04,680 --> 00:41:06,640
Speaker 1: during the pandemic. I mean, how could they not be.

739
00:41:06,840 --> 00:41:09,719
Speaker 1: I mean, they were higher employee, they earned more, They're

740
00:41:09,719 --> 00:41:13,759
Speaker 1: more likely to do apparently not man. We report based

741
00:41:13,800 --> 00:41:16,520
Speaker 1: on the results of a summer survey by NPR, the

742
00:41:16,640 --> 00:41:19,920
Speaker 1: Robert Wood Johnson Foundation, and the Harvard THH. Chan School

743
00:41:19,920 --> 00:41:23,520
Speaker 1: of Public Health, found the LGBTQ households are experiencing greater

744
00:41:23,600 --> 00:41:27,279
Speaker 1: financial strain, more unemployment, and bigger struggles to balance work

745
00:41:27,280 --> 00:41:33,400
Speaker 1: in childcare than non LGBTQ households. The report foil, for example,

746
00:41:33,440 --> 00:41:36,480
Speaker 1: that sixty six percent of LGBTQ households have experienced a

747
00:41:36,520 --> 00:41:40,480
Speaker 1: serious financial problem since the pandemic began, compared to just

748
00:41:40,560 --> 00:41:45,880
Speaker 1: forty four percent of non LGBTQ households. Yeah, I wonder

749
00:41:45,960 --> 00:41:49,239
Speaker 1: what that could be. You know, it could be.

750
00:41:49,640 --> 00:41:51,880
Speaker 4: I'm assuming this is just me guessing. I'm assumed as

751
00:41:51,880 --> 00:41:55,640
Speaker 4: a combination of a lot of things. It because people

752
00:41:56,560 --> 00:41:59,000
Speaker 4: have all these phobios a lot of times, or we

753
00:41:59,040 --> 00:42:01,000
Speaker 4: got the downsize, so they'd be like, well, let's go

754
00:42:01,000 --> 00:42:03,480
Speaker 4: ahead and let them go first, you know. You know,

755
00:42:03,600 --> 00:42:05,720
Speaker 4: I think for a lot of times, for some people

756
00:42:06,560 --> 00:42:08,799
Speaker 4: they were already on the list, not because they did

757
00:42:08,800 --> 00:42:10,480
Speaker 4: anything wrong, but they didn't want you there in the

758
00:42:10,480 --> 00:42:13,680
Speaker 4: first place, and so this is the reason, an excuse

759
00:42:13,840 --> 00:42:17,239
Speaker 4: to get you off the payroll without you fill on

760
00:42:17,280 --> 00:42:20,919
Speaker 4: a lawsuit of saying this discriminatory against you and all

761
00:42:20,920 --> 00:42:23,960
Speaker 4: that type of stuff. They can hide their biggest bigotry

762
00:42:24,440 --> 00:42:28,440
Speaker 4: up underneath this. So I think that that plays a

763
00:42:28,560 --> 00:42:32,120
Speaker 4: larger role in the factor. And because you have a

764
00:42:32,480 --> 00:42:38,160
Speaker 4: president who doesn't care about you, and so he's made

765
00:42:38,200 --> 00:42:41,399
Speaker 4: it easier for you to be fired and lose your

766
00:42:41,480 --> 00:42:45,359
Speaker 4: job without any protections, right, and then if you had

767
00:42:45,400 --> 00:42:48,560
Speaker 4: the protections in the first place, because like, is every

768
00:42:48,600 --> 00:42:51,320
Speaker 4: state making sure that you can have health care?

769
00:42:51,840 --> 00:42:55,359
Speaker 1: You know? Is are you able to you know, get

770
00:42:55,400 --> 00:43:00,960
Speaker 1: on someone's insurance? Things like that I wonder about. We

771
00:43:01,000 --> 00:43:03,440
Speaker 1: also know this is a pandemic that hit women harder.

772
00:43:03,480 --> 00:43:05,520
Speaker 1: So if you're in the same sex couple with two women,

773
00:43:06,320 --> 00:43:09,640
Speaker 1: and like what happens there when it comes to childcare

774
00:43:09,680 --> 00:43:14,239
Speaker 1: and stuff. They also said healthcare has been a huge

775
00:43:14,320 --> 00:43:17,839
Speaker 1: challenge to the LGBTQ community, with thirty eight percent of

776
00:43:18,000 --> 00:43:21,120
Speaker 1: LGBTQ households reporting that they were unable to get medical

777
00:43:21,120 --> 00:43:24,279
Speaker 1: care or delayed getting medical care for serious issues. This

778
00:43:24,400 --> 00:43:28,360
Speaker 1: compared to nineteen percent of non LGBTQ households. The difficulties

779
00:43:28,440 --> 00:43:32,319
Speaker 1: are even more exacerbated for black and Latino LGBTQ households.

780
00:43:32,760 --> 00:43:37,480
Speaker 1: Ninety five percent for Black LGBTQ households and seventy percent

781
00:43:37,520 --> 00:43:41,600
Speaker 1: for Latino LGBTQ households reported that they or someone in

782
00:43:41,640 --> 00:43:44,600
Speaker 1: their household have experienced one or more serious financial problems

783
00:43:44,600 --> 00:43:45,760
Speaker 1: as the pandemic began.

784
00:43:47,200 --> 00:43:48,400
Speaker 2: Ninety five percent.

785
00:43:49,920 --> 00:43:52,759
Speaker 1: The report also found that LGBTQ people have experienced job

786
00:43:52,800 --> 00:43:56,799
Speaker 1: loss at higher rates than non LGBTQ people. And you know,

787
00:43:56,920 --> 00:43:59,240
Speaker 1: I think I completely co s out what you said,

788
00:43:59,360 --> 00:44:02,759
Speaker 1: especially about the lack of protections, because when you're in

789
00:44:02,840 --> 00:44:05,520
Speaker 1: a when you are in this administra, when you have

790
00:44:05,600 --> 00:44:09,800
Speaker 1: this administration and power, they have stripped away the ability

791
00:44:09,800 --> 00:44:13,400
Speaker 1: to say, I'm suing you're discriminating against me. This is

792
00:44:13,400 --> 00:44:17,160
Speaker 1: happening to me because I'm gay, and they're like, no,

793
00:44:18,080 --> 00:44:19,920
Speaker 1: I'm trans, and this person fired me.

794
00:44:20,000 --> 00:44:22,279
Speaker 2: They've been harassing me for being trans and now they

795
00:44:22,400 --> 00:44:22,799
Speaker 2: fired me.

796
00:44:22,800 --> 00:44:26,440
Speaker 1: Blaming on the pandemic. Yeah, well, you can't sue for discrimination.

797
00:44:26,600 --> 00:44:30,600
Speaker 1: If it's anything to do with your orientation, you can't sue.

798
00:44:30,640 --> 00:44:32,600
Speaker 1: It's nothing you can do and if you and we

799
00:44:32,640 --> 00:44:35,759
Speaker 1: will fight literally take our justice department and fight on

800
00:44:35,760 --> 00:44:36,440
Speaker 1: the other side of that.

801
00:44:36,880 --> 00:44:39,400
Speaker 4: Yes, you know, people have to pay attention. This is

802
00:44:39,440 --> 00:44:43,759
Speaker 4: why this administration gets class action lawsuits because a lot

803
00:44:43,800 --> 00:44:46,920
Speaker 4: of people bring up class action lawsuits against goddamn Donald

804
00:44:46,920 --> 00:44:48,839
Speaker 4: Trump all the time because of the bullshit he's doing.

805
00:44:48,880 --> 00:44:51,040
Speaker 4: So he's trying to do everything he can to strip

806
00:44:51,080 --> 00:44:53,960
Speaker 4: it so that you and five hundred of your friends

807
00:44:54,040 --> 00:44:56,919
Speaker 4: can't get together and be like, you know, individually, y'all

808
00:44:56,920 --> 00:44:59,280
Speaker 4: could defeat us, but collectively it might be a problem.

809
00:44:59,280 --> 00:45:02,359
Speaker 1: Well it's not just him though, that's really letting them

810
00:45:02,360 --> 00:45:06,120
Speaker 1: off the hooks. This is a coordinated belief system that

811
00:45:06,239 --> 00:45:10,600
Speaker 1: Republicans have. Yes, this is citizens united. That corporations are people.

812
00:45:10,680 --> 00:45:14,319
Speaker 1: This is like they empower corporations, and they empowered the

813
00:45:14,440 --> 00:45:17,640
Speaker 1: rich and the rich mostly in this country, the super

814
00:45:17,719 --> 00:45:20,680
Speaker 1: rich that that are that we can that we really

815
00:45:20,680 --> 00:45:22,480
Speaker 1: look at when we think of the ills of society.

816
00:45:23,120 --> 00:45:27,200
Speaker 1: There are people that mostly control that through business. Because

817
00:45:27,239 --> 00:45:29,760
Speaker 1: businesses is one area where we don't think you should

818
00:45:29,800 --> 00:45:32,680
Speaker 1: have to be moral on any like if morals get

819
00:45:32,680 --> 00:45:34,520
Speaker 1: in a way of profit for a business, we're like,

820
00:45:34,680 --> 00:45:36,600
Speaker 1: of course, you shit, you did some fucked up shit

821
00:45:36,680 --> 00:45:39,759
Speaker 1: because your business it's okay. You know, like on an

822
00:45:39,800 --> 00:45:42,319
Speaker 1: individual level, if someone does that, we go, oh no,

823
00:45:42,360 --> 00:45:43,680
Speaker 1: I don't give a fuck. If you're rich, you're a

824
00:45:43,760 --> 00:45:47,800
Speaker 1: bad person for choosing money over you know, treating someone fairly.

825
00:45:48,280 --> 00:45:50,000
Speaker 1: Business is the one place where we're like, yeah, well

826
00:45:50,000 --> 00:45:51,399
Speaker 1: that's what business is supposed.

827
00:45:51,080 --> 00:45:54,000
Speaker 4: To do, right, And then you know, it's one of

828
00:45:54,040 --> 00:45:57,960
Speaker 4: those things where unions actually goes against businesses. Why businesses

829
00:45:58,000 --> 00:46:00,680
Speaker 4: fight unions and they change the life the laws and

830
00:46:00,719 --> 00:46:02,480
Speaker 4: a lot of states to tell people, oh, you can

831
00:46:02,520 --> 00:46:05,120
Speaker 4: get the benefits of a union without actually contributing to

832
00:46:05,160 --> 00:46:07,000
Speaker 4: a union. That's some of the fucking problems because you're

833
00:46:07,000 --> 00:46:08,640
Speaker 4: stripping them of funds.

834
00:46:08,239 --> 00:46:09,840
Speaker 2: And it's harder to find a new job.

835
00:46:10,400 --> 00:46:13,719
Speaker 1: Yes. In addition to study mentioned the Human Rights campaigns

836
00:46:13,719 --> 00:46:17,080
Speaker 1: finding that forty percent of LGBTQ adults work in the

837
00:46:17,120 --> 00:46:20,239
Speaker 1: five industry most affected by the pandemic. Only twenty two

838
00:46:20,280 --> 00:46:24,480
Speaker 1: percent of non LGBTQ adults work in these industries. I'm

839
00:46:24,480 --> 00:46:28,600
Speaker 1: gonna say, let me get food and services, food services.

840
00:46:28,200 --> 00:46:35,080
Speaker 4: Hospitality, which is like hotels, gig economy.

841
00:46:37,800 --> 00:46:38,759
Speaker 2: Now that's not on there.

842
00:46:39,000 --> 00:46:41,279
Speaker 4: Okay, Oh so like Uber's and all that stuff that's

843
00:46:41,280 --> 00:46:41,640
Speaker 4: not on there.

844
00:46:41,640 --> 00:46:42,279
Speaker 1: It wasn't on there.

845
00:46:42,719 --> 00:46:44,560
Speaker 2: It does say food services and retails.

846
00:46:44,560 --> 00:46:47,960
Speaker 4: You got that right, okay, like hotels, Like I'm assuming

847
00:46:48,000 --> 00:46:53,600
Speaker 4: that it didn't say hotels, say restaurants and food services

848
00:46:53,600 --> 00:46:54,120
Speaker 4: in retail.

849
00:46:55,880 --> 00:46:57,640
Speaker 1: I like, did you turn this into a game.

850
00:46:57,840 --> 00:47:01,520
Speaker 4: Because I wanted I want to see how how do

851
00:47:01,640 --> 00:47:09,000
Speaker 4: you like cleaning like maids cleaning services?

852
00:47:09,680 --> 00:47:11,680
Speaker 1: Mm hm hm hm.

853
00:47:16,200 --> 00:47:21,600
Speaker 4: Oh Like noah, but that's restaurants. But and I don't know, Okay,

854
00:47:22,840 --> 00:47:23,800
Speaker 4: I was trying my best.

855
00:47:24,880 --> 00:47:30,920
Speaker 1: I'll give you a hint. These are certain industries that

856
00:47:30,960 --> 00:47:35,520
Speaker 1: are most affected by the pandemic. What do you what

857
00:47:37,000 --> 00:47:40,879
Speaker 1: would what places would really be affected by everyone being

858
00:47:40,920 --> 00:47:41,799
Speaker 1: sick at the same time?

859
00:47:42,960 --> 00:47:43,600
Speaker 4: Hospitals.

860
00:47:43,680 --> 00:47:44,839
Speaker 1: Hospitals is one of them.

861
00:47:44,920 --> 00:47:47,600
Speaker 4: Okay, okay, right, hospitals So like your nurses and your

862
00:47:47,640 --> 00:47:48,920
Speaker 4: doctors and things like that.

863
00:47:49,239 --> 00:47:55,160
Speaker 1: Another thing affected by the pandemic. Where are people no

864
00:47:55,200 --> 00:47:59,640
Speaker 1: longer going because of the pandemic? Where are people know

865
00:48:00,000 --> 00:48:04,759
Speaker 1: younger to work? Well, we know work, but this is

866
00:48:04,760 --> 00:48:08,200
Speaker 1: all someone's work. But like, where are people no longer

867
00:48:08,320 --> 00:48:12,239
Speaker 1: sending the school? Right? The other two are K through

868
00:48:12,239 --> 00:48:17,920
Speaker 1: twelve education colleges and universities. So people aren't being people,

869
00:48:17,920 --> 00:48:20,440
Speaker 1: aren't sending the kids in school. A lot of LGBTQ

870
00:48:20,560 --> 00:48:24,000
Speaker 1: people work in that industry, hospitals which are probably even

871
00:48:24,120 --> 00:48:29,160
Speaker 1: overwhelmed or understaffed or whatnot. And then restaurants and food

872
00:48:29,160 --> 00:48:30,040
Speaker 1: services of retail.

873
00:48:30,640 --> 00:48:34,080
Speaker 4: Okay, okay, okay, and that makes sense. I knew probably,

874
00:48:34,360 --> 00:48:35,880
Speaker 4: I bet you. Out of that, number one has to

875
00:48:35,920 --> 00:48:39,680
Speaker 4: be the food industry because food industry is like number

876
00:48:39,680 --> 00:48:43,239
Speaker 4: one for women, number one for brown people, you know,

877
00:48:43,480 --> 00:48:47,600
Speaker 4: like food and kind of that hospitality thing. Because jobs

878
00:48:47,680 --> 00:48:51,160
Speaker 4: that are considered women work, they don't want to pay,

879
00:48:51,280 --> 00:48:53,520
Speaker 4: even though if a man enters it, he gets paid

880
00:48:53,600 --> 00:48:57,080
Speaker 4: up team. You know, it's almost it's almost like the

881
00:48:57,320 --> 00:49:00,680
Speaker 4: industry is but like this in your house. Oh, those

882
00:49:00,760 --> 00:49:05,200
Speaker 4: jobs aren't appreciated in the industry. Those jobs don't appreciate

883
00:49:05,239 --> 00:49:07,759
Speaker 4: it unless you're a man, and then you appreciate it

884
00:49:07,760 --> 00:49:10,399
Speaker 4: for doing some shit today they think it's beneath you,

885
00:49:10,880 --> 00:49:12,640
Speaker 4: which I think is ironic.

886
00:49:14,200 --> 00:49:19,759
Speaker 1: Wedding venue refuses lesbian couple in sites Christian values. They

887
00:49:19,840 --> 00:49:22,520
Speaker 1: never you ever noticed, I've never read one of this

888
00:49:22,560 --> 00:49:26,120
Speaker 1: about a fornicating sis had couple. No one's ever been

889
00:49:26,200 --> 00:49:29,000
Speaker 1: like you know what y'all been fucking before this marriage

890
00:49:29,080 --> 00:49:31,840
Speaker 1: and this wedding, and that's against our Christian values.

891
00:49:32,200 --> 00:49:37,520
Speaker 4: So San, we said, you already have kids, so that

892
00:49:37,640 --> 00:49:39,760
Speaker 4: means you've have had sex pride to marriage.

893
00:49:39,760 --> 00:49:41,800
Speaker 3: So no, we're gonna refuse you service.

894
00:49:42,840 --> 00:49:47,320
Speaker 1: Like why is it always this? Why is it always gay?

895
00:49:48,280 --> 00:49:52,040
Speaker 1: It's never anything else? I know this on your Instagram

896
00:49:52,080 --> 00:49:55,880
Speaker 1: you was eating shrimp and we're a little old school

897
00:49:55,920 --> 00:49:59,759
Speaker 1: here at Paul Metal Pines Church. We're a little too.

898
00:50:00,280 --> 00:50:00,960
Speaker 1: We'll play that.

899
00:50:01,080 --> 00:50:03,400
Speaker 4: We seen you was eating at polk, you know, and

900
00:50:03,480 --> 00:50:05,080
Speaker 4: according to the old test.

901
00:50:05,920 --> 00:50:08,680
Speaker 1: Sir, before we signed on the dotted line, I just

902
00:50:08,760 --> 00:50:12,839
Speaker 1: have to ask, is that blended fabric on your shirt

903
00:50:12,960 --> 00:50:16,040
Speaker 1: not blended? Because that's looking a little bit like some

904
00:50:16,239 --> 00:50:21,800
Speaker 1: polyester silk and rayon and we having that, Yeah that, ma'am,

905
00:50:21,960 --> 00:50:26,439
Speaker 1: is that a cotton blend blouse? Because we're a little

906
00:50:26,440 --> 00:50:28,640
Speaker 1: old school here, we actually have not ever done a

907
00:50:28,680 --> 00:50:33,120
Speaker 1: wedding at our chapel because we're at old school. Okay,

908
00:50:33,239 --> 00:50:35,600
Speaker 1: so you really got to pass a lot of tests

909
00:50:35,880 --> 00:50:39,480
Speaker 1: to get up in here. Have you ever lied? Because

910
00:50:39,480 --> 00:50:43,200
Speaker 1: it's one of the commandments that you shouldn't lie, and honestly,

911
00:50:43,239 --> 00:50:46,560
Speaker 1: if you're telling lies, ever, I don't want you. The

912
00:50:46,600 --> 00:50:48,800
Speaker 1: Lord wasn't like that. I don't want you in my chapel.

913
00:50:49,239 --> 00:50:55,799
Speaker 1: M do you respect your parents because I you know,

914
00:50:56,239 --> 00:51:00,200
Speaker 1: I don't know about this. You've been divorced before. Oh

915
00:51:00,239 --> 00:51:03,439
Speaker 1: hell no, get the fuck out. It's only gay. It's

916
00:51:03,560 --> 00:51:06,400
Speaker 1: only gay that they stop stop breaks on.

917
00:51:06,960 --> 00:51:09,440
Speaker 4: I don't I mean, I mean you used to be

918
00:51:09,480 --> 00:51:11,359
Speaker 4: a drug addict. We can't have you up in here.

919
00:51:11,640 --> 00:51:13,400
Speaker 1: Oh my god, why.

920
00:51:13,239 --> 00:51:16,040
Speaker 2: Does the real every how the fuck your whole religion.

921
00:51:15,719 --> 00:51:17,920
Speaker 1: Come down to just gay? You don't find a way

922
00:51:17,920 --> 00:51:20,479
Speaker 1: to cope with living in this world? Every other kind

923
00:51:20,520 --> 00:51:23,160
Speaker 1: of way, yes, sir, you go to work, you do this,

924
00:51:23,280 --> 00:51:27,480
Speaker 1: you do that, everything else you you cool with except

925
00:51:27,520 --> 00:51:30,520
Speaker 1: for someone being gay, Because then the Lord just he

926
00:51:30,600 --> 00:51:33,120
Speaker 1: can't about that. He can deal with family, He can

927
00:51:33,160 --> 00:51:34,960
Speaker 1: deal with your bigoted ass president.

928
00:51:35,560 --> 00:51:38,160
Speaker 3: He could deal He could deal with so much shit.

929
00:51:39,400 --> 00:51:42,279
Speaker 1: But except two gay people loving each other and being

930
00:51:42,360 --> 00:51:46,120
Speaker 1: like too far. No, I just don't think so, not

931
00:51:46,239 --> 00:51:49,120
Speaker 1: in this chapel. Nothing's ever happened to a church that

932
00:51:49,160 --> 00:51:52,120
Speaker 1: allowed gay people to get married, do you know, like

933
00:51:52,120 --> 00:51:54,200
Speaker 1: like they didn't be like, oh, gay people got married

934
00:51:54,239 --> 00:51:58,719
Speaker 1: and the next day the motherfucking temple exploded in a

935
00:51:58,960 --> 00:52:02,239
Speaker 1: in a in a of glitter, just the whole everybody

936
00:52:02,320 --> 00:52:05,240
Speaker 1: was covered and glitter that killed rainbows.

937
00:52:05,080 --> 00:52:06,200
Speaker 4: Instant deaths.

938
00:52:06,280 --> 00:52:11,160
Speaker 1: Rainbows fucking destroyed the chapel after that. Just why do

939
00:52:11,239 --> 00:52:15,160
Speaker 1: you care about this so much? And yes, I know

940
00:52:15,440 --> 00:52:18,800
Speaker 1: people because my religion. No, it's really not, because there's

941
00:52:19,000 --> 00:52:23,400
Speaker 1: too much other shit. That's an exception. You tolerate white supremacy.

942
00:52:23,440 --> 00:52:27,960
Speaker 1: They cannot possibly be okay for your religion. You tolerated,

943
00:52:28,080 --> 00:52:32,200
Speaker 1: you covet it. It's only this shit. Well they're like,

944
00:52:32,280 --> 00:52:35,799
Speaker 1: I know, not no gay shit. And honestly it used

945
00:52:35,840 --> 00:52:37,399
Speaker 1: to be inter racial relationships.

946
00:52:37,440 --> 00:52:38,200
Speaker 4: They just stopped.

947
00:52:38,760 --> 00:52:40,680
Speaker 1: And I still don't. I don't give a fuck what

948
00:52:40,680 --> 00:52:42,839
Speaker 1: people say about that. Well I don't care. I mean,

949
00:52:42,840 --> 00:52:45,279
Speaker 1: it's they church. They get to do it. Man, Fuck you,

950
00:52:45,960 --> 00:52:47,759
Speaker 1: I'm not coming to your house. You the one that

951
00:52:47,840 --> 00:52:50,920
Speaker 1: made this shit a place of worship, the same way

952
00:52:50,960 --> 00:52:53,240
Speaker 1: I feel about that white's only church, while I wouldn't

953
00:52:53,239 --> 00:52:55,440
Speaker 1: want to go there. It shouldn't be allowed in our country.

954
00:52:56,440 --> 00:52:59,960
Speaker 1: You shouldn't be able to do something like that. It matters,

955
00:53:00,200 --> 00:53:01,800
Speaker 1: the fucking imagery matters.

956
00:53:01,840 --> 00:53:03,840
Speaker 2: The law matters anyway.

957
00:53:05,239 --> 00:53:10,040
Speaker 1: Hungarian Constitution amended to define marriage as a man and

958
00:53:10,120 --> 00:53:17,080
Speaker 1: woman because apparently they needed to let gay people know

959
00:53:17,120 --> 00:53:18,080
Speaker 1: they hate them.

960
00:53:18,600 --> 00:53:20,080
Speaker 3: Oh, they wanted to make it louder.

961
00:53:19,960 --> 00:53:22,280
Speaker 1: Because you amended the ship right, which.

962
00:53:22,160 --> 00:53:24,600
Speaker 4: Meaning wasn't there and everybody was fine, and sometimes like,

963
00:53:25,239 --> 00:53:28,680
Speaker 4: excuse me, because this is that.

964
00:53:28,680 --> 00:53:30,960
Speaker 1: Thing they do. Like in America, they be like the

965
00:53:31,040 --> 00:53:33,319
Speaker 1: Founding Fathers. We loved them so much. I just want

966
00:53:33,360 --> 00:53:35,759
Speaker 1: to suck they dix real quick. Oh God, just found

967
00:53:35,760 --> 00:53:38,200
Speaker 1: the father's the best. Oh, let me jog the balls.

968
00:53:38,239 --> 00:53:40,359
Speaker 1: Oh God, to find the fathers all that We've never

969
00:53:40,440 --> 00:53:43,160
Speaker 1: had anyone like this. Found the Fathers. All, I'll suck

970
00:53:43,239 --> 00:53:45,520
Speaker 1: both they dicks at the same time. And and then

971
00:53:45,560 --> 00:53:47,279
Speaker 1: and then what that means, of course we get they

972
00:53:47,560 --> 00:53:48,480
Speaker 1: they thought of everything.

973
00:53:48,800 --> 00:53:51,680
Speaker 2: Older I'm a strict constitutionalist, older Founding Fathers.

974
00:53:51,680 --> 00:53:53,920
Speaker 1: They thought of everything. And then when you're like, well

975
00:53:53,960 --> 00:53:57,640
Speaker 1: they didn't put man and woman only in the constitution, Yeah,

976
00:53:57,719 --> 00:53:58,560
Speaker 1: we should amend that.

977
00:53:59,239 --> 00:53:59,719
Speaker 4: Mm hmm.

978
00:54:00,400 --> 00:54:05,160
Speaker 1: They thought of everything. They thought they're almost everything. But

979
00:54:05,480 --> 00:54:08,120
Speaker 1: you know, they just assumed we knew. You know what

980
00:54:08,160 --> 00:54:10,719
Speaker 1: I'm saying, because gay people never existed before this, so

981
00:54:10,760 --> 00:54:14,440
Speaker 1: they just assumed that we understood. So they they couldn't

982
00:54:14,440 --> 00:54:19,359
Speaker 1: get everything right, Okay, well, you know, since we amending shit,

983
00:54:19,560 --> 00:54:22,160
Speaker 1: I mean, can we amend something here about you know,

984
00:54:23,000 --> 00:54:26,840
Speaker 1: the right to vote for black people? I don't know.

985
00:54:26,920 --> 00:54:29,040
Speaker 1: Let's maybe vote on that whenever twenty years you.

986
00:54:28,960 --> 00:54:29,440
Speaker 4: Know what I mean?

987
00:54:31,120 --> 00:54:37,759
Speaker 1: These motherfuckers, man a mend the whole constitution. Let's see

988
00:54:37,760 --> 00:54:42,560
Speaker 1: what else happened. Eli must trolls transgender people on Twitter

989
00:54:42,600 --> 00:54:43,160
Speaker 1: for attention.

990
00:54:44,440 --> 00:54:46,600
Speaker 2: What is what is over with this guy?

991
00:54:47,840 --> 00:54:51,800
Speaker 1: M hmm? He tweeted a meme showing a British soldier

992
00:54:51,840 --> 00:54:55,360
Speaker 1: holding a musket and wiping his face with blood, with

993
00:54:55,480 --> 00:55:00,279
Speaker 1: the caption when you put him in your bio, I

994
00:55:00,280 --> 00:55:04,760
Speaker 1: don't even know what. I don't even know what that means.

995
00:55:09,880 --> 00:55:13,000
Speaker 1: That's not like some fortune memeshit that I wouldn't understand.

996
00:55:15,160 --> 00:55:21,680
Speaker 1: Uh So, all right, whatever, I'm sure someone understands the shit.

997
00:55:23,520 --> 00:55:28,080
Speaker 1: Pete Budajag will join Joe Biden's cabinet as Transportation Secretary. Yeah,

998
00:55:28,200 --> 00:55:30,320
Speaker 1: lost in the sauce of people you know, shitting on

999
00:55:30,440 --> 00:55:33,200
Speaker 1: him during the primary because of course they didn't want

1000
00:55:33,239 --> 00:55:35,560
Speaker 1: him to be president, which I understand. I think primary

1001
00:55:35,600 --> 00:55:37,960
Speaker 1: is at the time to be like, you know, fuck

1002
00:55:38,040 --> 00:55:41,680
Speaker 1: these people, I want my person to win primary over

1003
00:55:41,840 --> 00:55:46,120
Speaker 1: I'm like, everyone getting fucking formation. Bring all your followers

1004
00:55:46,200 --> 00:55:49,600
Speaker 1: to the Democratic primary. Let's let's let's win. Let's win

1005
00:55:49,640 --> 00:55:54,279
Speaker 1: to general right, Well, uh pee boodajag was old. A

1006
00:55:54,280 --> 00:55:56,080
Speaker 1: lot of motherfuckers don't want to admit this because they

1007
00:55:56,080 --> 00:55:59,200
Speaker 1: didn't like him, But the truth of the matter is

1008
00:55:59,360 --> 00:56:03,040
Speaker 1: if he didn't, I don't think body wins because he

1009
00:56:03,120 --> 00:56:07,000
Speaker 1: had a significant It was like him a couple other

1010
00:56:07,000 --> 00:56:10,399
Speaker 1: people too, where if someone had their brothers and had

1011
00:56:10,400 --> 00:56:14,080
Speaker 1: to pick between like Bernie and these other people, they

1012
00:56:14,080 --> 00:56:17,040
Speaker 1: didn't want to pick Biden as their first choice, but

1013
00:56:18,480 --> 00:56:20,840
Speaker 1: he may have been their third choice or second choice.

1014
00:56:21,239 --> 00:56:25,040
Speaker 1: But before Bernie and so you needed Pete to drop out.

1015
00:56:25,120 --> 00:56:27,360
Speaker 1: So he was kind of old disposition.

1016
00:56:27,440 --> 00:56:29,319
Speaker 4: He was like two or three of them.

1017
00:56:29,360 --> 00:56:36,520
Speaker 1: They dropped out Klobasjar, him and Elizabeth one I believe

1018
00:56:36,760 --> 00:56:40,799
Speaker 1: dropped out around the same time. So yeah, like this

1019
00:56:40,840 --> 00:56:43,080
Speaker 1: is what happens. This is why it pays to be

1020
00:56:43,120 --> 00:56:46,160
Speaker 1: part of a party and not one man trying to

1021
00:56:46,160 --> 00:56:50,040
Speaker 1: steal the party. But anyway, the point being, this is

1022
00:56:50,040 --> 00:56:54,839
Speaker 1: still a huge milestone. He's an openly gay man, being

1023
00:56:54,840 --> 00:56:57,719
Speaker 1: the first person to ever do this. So, like I said,

1024
00:56:57,719 --> 00:57:00,920
Speaker 1: people kind of lost. They got lost in the on like,

1025
00:57:01,239 --> 00:57:04,920
Speaker 1: fuck him, But that's because primaries can be so bitter.

1026
00:57:05,080 --> 00:57:08,480
Speaker 1: But I still celebrate that milestone, man, because that shit

1027
00:57:08,600 --> 00:57:11,800
Speaker 1: is super important and hopefully it won't be the last.

1028
00:57:12,200 --> 00:57:17,360
Speaker 1: You know. All right, let's see a transgender one woman

1029
00:57:17,400 --> 00:57:20,240
Speaker 1: won Jeopardy and wore a trans flag pin to represent

1030
00:57:22,040 --> 00:57:26,440
Speaker 1: Kate Freeman, a transgender woman from Lake Orion, Michigan. Orion

1031
00:57:26,640 --> 00:57:32,760
Speaker 1: Orion Lake O'Rion, Michigan, became the Jeopardy's late champion last Friday,

1032
00:57:32,760 --> 00:57:35,640
Speaker 1: but lost the title on Monday night. Freeman wore a

1033
00:57:35,760 --> 00:57:39,240
Speaker 1: trans flag pin to quietly represent the community on the show.

1034
00:57:39,960 --> 00:57:43,440
Speaker 1: A financial analyst, she took on five thousand, five hundred

1035
00:57:43,440 --> 00:57:48,000
Speaker 1: and fifty nine dollars in cash winnings. Go ahead, yep,

1036
00:57:48,480 --> 00:57:52,480
Speaker 1: So that's dope. Way till the way, till the straits

1037
00:57:52,480 --> 00:57:57,000
Speaker 1: find out they're gonna be upset. Oh my god, damn it,

1038
00:57:57,080 --> 00:57:59,760
Speaker 1: you tricked me in the rooting for a trans person.

1039
00:58:00,480 --> 00:58:02,680
Speaker 1: I've been reading on Twitter to hate them all the time.

1040
00:58:02,760 --> 00:58:07,479
Speaker 1: JK Rowland been telling me proud boys wearing kilts made

1041
00:58:07,640 --> 00:58:10,919
Speaker 1: by gay men flash protesters doing a Magarelli. I didn't

1042
00:58:10,920 --> 00:58:12,880
Speaker 1: make this up. This is a real thing. That happen.

1043
00:58:14,040 --> 00:58:18,160
Speaker 1: I don't understand these guys. First of all, you're name

1044
00:58:18,240 --> 00:58:22,920
Speaker 1: the Proud Boys. You lost me there. But then second

1045
00:58:22,920 --> 00:58:26,840
Speaker 1: of all, like, what's up with wearing kilts and flashing

1046
00:58:26,880 --> 00:58:32,520
Speaker 1: your assid people? Like what does this do to further

1047
00:58:32,600 --> 00:58:37,360
Speaker 1: white supremacy or homophobic? Shit? What does this do?

1048
00:58:37,840 --> 00:58:39,520
Speaker 4: I don't understand.

1049
00:58:40,320 --> 00:58:43,960
Speaker 1: I feel like these dudes are just bored. They're like

1050
00:58:44,120 --> 00:58:47,840
Speaker 1: bored Call of Duty cosplayers, Like I want to dress

1051
00:58:47,920 --> 00:58:50,520
Speaker 1: up like Call of Duty and go into the city

1052
00:58:51,120 --> 00:58:58,280
Speaker 1: and wear my guns and apparently flash my buns at people. Like,

1053
00:58:58,680 --> 00:59:02,960
Speaker 1: but I'm not gay, Like, how is this stopping Antifa?

1054
00:59:03,200 --> 00:59:03,640
Speaker 4: It's not.

1055
00:59:06,040 --> 00:59:09,680
Speaker 1: Like I don't think like, I don't think this is

1056
00:59:09,720 --> 00:59:12,439
Speaker 1: gonna help us. I don't think this is good.

1057
00:59:12,960 --> 00:59:17,120
Speaker 4: So they end up giving so something so so somebody

1058
00:59:17,120 --> 00:59:19,360
Speaker 4: had to go in the shop. Going to the shopping

1059
00:59:19,520 --> 00:59:22,560
Speaker 4: was like, uh, that was like, yes, gonna help you.

1060
00:59:22,600 --> 00:59:26,120
Speaker 4: That was like, yes, I would like to buy forty

1061
00:59:26,160 --> 00:59:30,240
Speaker 4: seven of your skirts. Yes, you could buy forty seven

1062
00:59:30,280 --> 00:59:33,040
Speaker 4: of our skirts. You know what size?

1063
00:59:33,040 --> 00:59:33,600
Speaker 1: Would you like?

1064
00:59:34,760 --> 00:59:40,360
Speaker 4: Man's size? I understand small, medium, you know large?

1065
00:59:40,560 --> 00:59:44,240
Speaker 1: And will you be taking forty seven sets of underwear? Nope?

1066
00:59:45,720 --> 00:59:49,120
Speaker 1: I think we're done with our business here, see you

1067
00:59:49,320 --> 00:59:51,760
Speaker 1: gaze in the streets. I'll be back to pick it

1068
00:59:51,840 --> 00:59:54,280
Speaker 1: up tomorrow to let you know how the white man

1069
00:59:54,400 --> 00:59:59,320
Speaker 1: really feels oppressed. Like yeah, like at this point, y'all

1070
00:59:59,320 --> 00:59:59,600
Speaker 1: don't know.

1071
00:59:59,560 --> 01:00:02,680
Speaker 4: How the boy y'all. Right, y'all literally went to the

1072
01:00:02,720 --> 01:00:05,120
Speaker 4: gay people like we would buy your shit. And then

1073
01:00:05,280 --> 01:00:09,120
Speaker 4: somebody was like, oh, y'all know what, ain't thathking them

1074
01:00:09,120 --> 01:00:11,760
Speaker 4: scratched with soul the other day? Damn national television.

1075
01:00:11,840 --> 01:00:14,240
Speaker 1: Are y'all the proud boys or the pride boys? Why

1076
01:00:14,240 --> 01:00:16,280
Speaker 1: don't y'all go ahead and go to the pride parade too?

1077
01:00:16,280 --> 01:00:18,880
Speaker 4: Then? Because you have a good time, you already dressed.

1078
01:00:18,640 --> 01:00:21,720
Speaker 1: Up, you like marching. I mean, it seemed like if

1079
01:00:21,760 --> 01:00:23,840
Speaker 1: you could just let go of the hate you you

1080
01:00:24,160 --> 01:00:27,120
Speaker 1: could at least go out and enjoy yourself. I hate

1081
01:00:27,120 --> 01:00:31,560
Speaker 1: when I hate when people that are in the not

1082
01:00:31,680 --> 01:00:35,800
Speaker 1: the marginalized group, when they're sitting around like we're so oppressed,

1083
01:00:35,840 --> 01:00:38,400
Speaker 1: we're so oppressed. Let's mimic the behavior of the oppressed group,

1084
01:00:38,880 --> 01:00:41,080
Speaker 1: you know, like when they have straight pride parades and shit,

1085
01:00:41,120 --> 01:00:44,640
Speaker 1: and you're just like, dog, just take the stick out

1086
01:00:44,680 --> 01:00:48,040
Speaker 1: of your ass. Stop being fucking big, stop being a biggote.

1087
01:00:48,480 --> 01:00:50,400
Speaker 1: Ain't go march because you want to go march with

1088
01:00:50,480 --> 01:00:53,600
Speaker 1: the gay people, cause your marches don't even be lit.

1089
01:00:53,760 --> 01:00:56,080
Speaker 1: So like, if you really want to leave a house

1090
01:00:56,120 --> 01:00:58,400
Speaker 1: and have a good time at the march, just go

1091
01:00:58,480 --> 01:01:00,600
Speaker 1: to the gay one. You're gonna have better their music,

1092
01:01:01,040 --> 01:01:04,680
Speaker 1: good fashion, funner people. Nobody wants to be in an

1093
01:01:04,720 --> 01:01:09,480
Speaker 1: angry fucking march about some ship that ain't even a problem.

1094
01:01:09,800 --> 01:01:11,280
Speaker 1: Like I can see if you're in an angry march

1095
01:01:11,280 --> 01:01:14,360
Speaker 1: about like black lives matter, right something like that's why

1096
01:01:14,360 --> 01:01:16,720
Speaker 1: we be angry because fucked up shit be having in us.

1097
01:01:16,960 --> 01:01:19,600
Speaker 1: But you you really want to be free and the

1098
01:01:19,640 --> 01:01:22,240
Speaker 1: only one keeping you in a cage is your motherfucking stuff.

1099
01:01:23,000 --> 01:01:25,240
Speaker 1: Ain't no gay people ain't doing nothing to stop you

1100
01:01:25,280 --> 01:01:28,880
Speaker 1: from living your straight ass? Like you you mad because

1101
01:01:28,920 --> 01:01:31,920
Speaker 1: you missing out? Like why they get to have all

1102
01:01:31,960 --> 01:01:34,520
Speaker 1: the fun? Why can't they get to dance to wymc

1103
01:01:34,680 --> 01:01:38,400
Speaker 1: at Like literally, I'm not joking, Karen, the mag of

1104
01:01:38,480 --> 01:01:42,120
Speaker 1: people took ymc A and then m A e A

1105
01:01:42,240 --> 01:01:47,640
Speaker 1: because like it's so pathetic, you really own they want

1106
01:01:47,680 --> 01:01:51,800
Speaker 1: to be They want to have the fun. Uh and

1107
01:01:51,840 --> 01:01:54,640
Speaker 1: the and the and the imagery and the pageantry and

1108
01:01:54,680 --> 01:01:56,360
Speaker 1: all the ship that gay people. That's why they really

1109
01:01:56,360 --> 01:01:56,920
Speaker 1: hate them.

1110
01:01:57,440 --> 01:01:59,120
Speaker 2: They hate them because they ain't them.

1111
01:01:59,440 --> 01:01:59,880
Speaker 4: I agree.

1112
01:02:00,360 --> 01:02:02,720
Speaker 1: And and the thing is gay people not stopping you

1113
01:02:02,800 --> 01:02:04,880
Speaker 1: like you can be straightened come to any of these

1114
01:02:04,880 --> 01:02:07,320
Speaker 1: motherfucking events. They not gonna do shit. They're like, cool,

1115
01:02:07,360 --> 01:02:09,880
Speaker 1: you you down. They're not gonna be like, oh these

1116
01:02:09,920 --> 01:02:13,520
Speaker 1: straight motherfuckers, go get the goddamn toys.

1117
01:02:13,600 --> 01:02:15,320
Speaker 4: These mothers straight's got to go.

1118
01:02:16,000 --> 01:02:19,360
Speaker 1: I went to that properade and I've seen a husband

1119
01:02:19,360 --> 01:02:24,120
Speaker 1: and wife holding hands and they was sis he I said, no,

1120
01:02:24,280 --> 01:02:27,360
Speaker 1: not on my watch. I'm about to go fuck them up,

1121
01:02:27,440 --> 01:02:29,040
Speaker 1: Like no, we're the ones who do.

1122
01:02:29,000 --> 01:02:30,600
Speaker 4: That bullshit right there was like not in front of

1123
01:02:30,600 --> 01:02:31,439
Speaker 4: my salad.

1124
01:02:31,360 --> 01:02:34,880
Speaker 1: Right, we're the ones that do that bullshit over there.

1125
01:02:35,200 --> 01:02:37,840
Speaker 1: Oh god, that's so ridiculous. Let me let me put

1126
01:02:37,880 --> 01:02:41,040
Speaker 1: on my skirt jet show these gays what's what? Look

1127
01:02:41,080 --> 01:02:42,920
Speaker 1: what you're missing out on this dick. Then they're like,

1128
01:02:42,920 --> 01:02:44,360
Speaker 1: but did you did you like it? What would you

1129
01:02:44,440 --> 01:02:48,120
Speaker 1: raided on a zero to ten? Though I may escaped

1130
01:02:48,160 --> 01:02:50,520
Speaker 1: this this morning, you know, I really wanted to press

1131
01:02:50,600 --> 01:02:53,439
Speaker 1: all guys. I from being honest. Okay, I'm not saying

1132
01:02:53,480 --> 01:02:55,800
Speaker 1: I am gay, but I would like to know on

1133
01:02:55,920 --> 01:02:56,400
Speaker 1: hot or not.

1134
01:02:57,320 --> 01:02:58,320
Speaker 4: You know, I want you truth.

1135
01:02:58,520 --> 01:03:00,720
Speaker 1: Yeah, I mean gonna gone. Don't give it to me,

1136
01:03:01,000 --> 01:03:01,360
Speaker 1: you know.

1137
01:03:01,760 --> 01:03:03,760
Speaker 4: I mean I did my last this moment, and you know,

1138
01:03:03,840 --> 01:03:05,320
Speaker 4: my wife was telling me I was a.

1139
01:03:05,280 --> 01:03:09,200
Speaker 1: Little hairy tozy. Gaber introduces anti transgender bill at the

1140
01:03:09,240 --> 01:03:17,080
Speaker 1: claiming to be LGBTQ friendly. Surprise surprise, Ain't she went president?

1141
01:03:17,120 --> 01:03:17,600
Speaker 1: Didn't she?

1142
01:03:17,600 --> 01:03:20,440
Speaker 2: She ran for president. While she was running, she was

1143
01:03:20,640 --> 01:03:21,000
Speaker 2: she was.

1144
01:03:21,000 --> 01:03:23,200
Speaker 4: The one that was talking crazy and had them big

1145
01:03:23,200 --> 01:03:25,240
Speaker 4: gass eyes. I remember I was like, is she own

1146
01:03:25,360 --> 01:03:26,360
Speaker 4: something something wrong with that one?

1147
01:03:26,480 --> 01:03:30,640
Speaker 1: She also has a very anti gay past and past

1148
01:03:30,680 --> 01:03:35,160
Speaker 1: positions about being anti LGBTQ in addition to being friends

1149
01:03:35,160 --> 01:03:37,880
Speaker 1: with a side and all this other shit. And people

1150
01:03:37,960 --> 01:03:42,080
Speaker 1: were I remember people that up until that moment I

1151
01:03:42,080 --> 01:03:46,640
Speaker 1: thought were reasonably smart, being like, this is the alternative choice.

1152
01:03:46,680 --> 01:03:49,240
Speaker 1: We should go with Tosi Gather. She's good. And one

1153
01:03:49,280 --> 01:03:51,880
Speaker 1: of the things they would tell because was well, she's

1154
01:03:51,960 --> 01:03:56,680
Speaker 1: just transformed on gay rights. And look Obama had to

1155
01:03:56,680 --> 01:03:57,439
Speaker 1: come around like one.

1156
01:03:57,480 --> 01:03:59,840
Speaker 2: Obama was never anti gay. That's different.

1157
01:04:00,560 --> 01:04:02,520
Speaker 1: Yes, it is like just because he was afraid to

1158
01:04:02,560 --> 01:04:07,600
Speaker 1: put out his position in public and possibly lose the election.

1159
01:04:08,440 --> 01:04:11,240
Speaker 1: Isn't the same as going around being like, uh, yeah,

1160
01:04:11,560 --> 01:04:15,000
Speaker 1: fuck gay people. They shouldn't be able to get married

1161
01:04:15,200 --> 01:04:17,520
Speaker 1: to fuck trans people. That's not real. That's not a

1162
01:04:17,560 --> 01:04:21,160
Speaker 1: thing that exists. That's two different. That's don't equate the ship.

1163
01:04:21,200 --> 01:04:23,360
Speaker 1: But that's what they were doing, was trying to equate

1164
01:04:23,400 --> 01:04:29,480
Speaker 1: the two. But then, uh, she conveniently evolves on the

1165
01:04:29,520 --> 01:04:34,720
Speaker 1: position only during the primary and the second that she's

1166
01:04:34,800 --> 01:04:37,880
Speaker 1: motherfucking out of office, it's back to actually, y'all still

1167
01:04:37,920 --> 01:04:41,840
Speaker 1: hate these gay people. She wants to bar schools from

1168
01:04:41,880 --> 01:04:44,840
Speaker 1: receiving federal funds if they allow transgender girls and women

1169
01:04:45,160 --> 01:04:47,680
Speaker 1: to compete in women's sports. It's never for the dudes.

1170
01:04:47,760 --> 01:04:52,000
Speaker 1: Y'all re noticed that, y'all real noticed that this is

1171
01:04:52,040 --> 01:04:54,920
Speaker 1: that that's selective ship where people go, well, I mean,

1172
01:04:54,960 --> 01:04:58,240
Speaker 1: what if a boy pretends to be a girl so

1173
01:04:58,280 --> 01:05:01,080
Speaker 1: he could be good at sports? Like, who the fuck

1174
01:05:01,160 --> 01:05:03,800
Speaker 1: do you know gonna up in their whole goddamn life

1175
01:05:04,760 --> 01:05:09,920
Speaker 1: so they could be good at track and field like soccer,

1176
01:05:10,480 --> 01:05:14,120
Speaker 1: Like we don't even know, we know you saying boat,

1177
01:05:14,480 --> 01:05:18,160
Speaker 1: This ain't no lucrative ass field in the first place. Wow,

1178
01:05:18,360 --> 01:05:21,240
Speaker 1: you know how much we stand for the best women's

1179
01:05:21,800 --> 01:05:25,800
Speaker 1: uh sprinter like, we don't really in America as a

1180
01:05:25,800 --> 01:05:26,800
Speaker 1: as a global thing.

1181
01:05:27,360 --> 01:05:29,280
Speaker 4: Glo thing. Here in America, we don't.

1182
01:05:29,520 --> 01:05:32,520
Speaker 1: Little boys are not looking up and idolizing that and going,

1183
01:05:32,560 --> 01:05:35,880
Speaker 1: I can't wait to be ill. I'll take the slings

1184
01:05:35,880 --> 01:05:39,600
Speaker 1: and arrow. I'll take the discrimination, I'll take the physical assault.

1185
01:05:39,680 --> 01:05:43,880
Speaker 1: I'll take the probability of heightened risk of death so

1186
01:05:43,920 --> 01:05:47,280
Speaker 1: that I can be let me check myne out good

1187
01:05:47,400 --> 01:05:50,360
Speaker 1: at running. Get the fuck out of here, that's not happening.

1188
01:05:50,720 --> 01:05:52,800
Speaker 1: The second thing is they cherry picked this shit because

1189
01:05:52,800 --> 01:05:55,760
Speaker 1: they are already athletes who are trans who are participating

1190
01:05:55,760 --> 01:05:59,000
Speaker 1: in these sports. Yes, and they aren't always winning. The

1191
01:05:59,080 --> 01:06:01,480
Speaker 1: only time this shiits.

1192
01:06:00,640 --> 01:06:01,600
Speaker 4: This week, trans win.

1193
01:06:02,040 --> 01:06:04,240
Speaker 2: It's some trans girls win something.

1194
01:06:04,640 --> 01:06:08,760
Speaker 1: Period. There's also a trans man who has one events.

1195
01:06:09,000 --> 01:06:11,680
Speaker 1: No one has ever in their history of ever been

1196
01:06:11,800 --> 01:06:14,160
Speaker 1: like this. Motherfucker shouldn't be able to compete.

1197
01:06:14,920 --> 01:06:16,400
Speaker 2: It's all our sisters had.

1198
01:06:16,280 --> 01:06:19,400
Speaker 1: In order to ship that we're we're projecting on the people.

1199
01:06:20,120 --> 01:06:22,960
Speaker 1: So yeah, but yeah, fuck her. I knew what she

1200
01:06:23,120 --> 01:06:25,120
Speaker 1: was on. I knew what she was on when she

1201
01:06:25,200 --> 01:06:28,760
Speaker 1: was fucking running, And a shame on anybody that entertained

1202
01:06:28,760 --> 01:06:31,840
Speaker 1: that shit like, goddamn. I know you didn't like body,

1203
01:06:31,920 --> 01:06:34,760
Speaker 1: but you don't have to be stupid. There was so

1204
01:06:34,800 --> 01:06:38,280
Speaker 1: many other candidates. Yes, sir, well, I just I mean,

1205
01:06:38,280 --> 01:06:40,320
Speaker 1: we need to need somebody from outside the system. No,

1206
01:06:40,480 --> 01:06:43,680
Speaker 1: the fuck we don't. It's like being like, I know

1207
01:06:43,760 --> 01:06:46,000
Speaker 1: my car is broken, but I need somebody from outside

1208
01:06:46,040 --> 01:06:49,000
Speaker 1: the mechanics system to fix my car. Somebody that's never

1209
01:06:49,040 --> 01:06:51,240
Speaker 1: did nothing with cars before. That's what that's what would

1210
01:06:51,280 --> 01:06:57,160
Speaker 1: be nice. Hey, you fruit vendor, can you fix a carburetor? Okay?

1211
01:06:58,600 --> 01:07:04,320
Speaker 1: All right? Other news, see what is happening in the world.

1212
01:07:04,680 --> 01:07:07,400
Speaker 1: A Phoenix police officer said, if the mayor defunds the police,

1213
01:07:07,400 --> 01:07:11,400
Speaker 1: I'm going to shoot her, which I think gives an

1214
01:07:11,440 --> 01:07:13,920
Speaker 1: argument to the to the mayor for why you should

1215
01:07:13,960 --> 01:07:18,520
Speaker 1: defund the police. Apparently these motherfuckers don't need guns. I'm

1216
01:07:18,560 --> 01:07:26,880
Speaker 1: defunding everything. Yeah, expressed his thoughts during a Cave Creek

1217
01:07:27,520 --> 01:07:30,840
Speaker 1: doing a briefing at the Craig Cave Preak station. When

1218
01:07:30,840 --> 01:07:33,960
Speaker 1: a meeting diversion discussion about defund the police. Movement officer

1219
01:07:34,000 --> 01:07:38,280
Speaker 1: Stephen Powellous expressed his thoughts, the room went quiet. If

1220
01:07:38,280 --> 01:07:40,640
Speaker 1: the mayor defunds the police. I'm going to shoot her. Pollo.

1221
01:07:40,840 --> 01:07:43,479
Speaker 1: Sergeant recalled here and the officer say, referm the mayor,

1222
01:07:43,560 --> 01:07:44,400
Speaker 1: Kate Gallego.

1223
01:07:45,080 --> 01:07:45,280
Speaker 3: Uh.

1224
01:07:45,400 --> 01:07:47,680
Speaker 1: The sergeant broke the solad, saying you're not going to

1225
01:07:47,680 --> 01:07:51,400
Speaker 1: shoot the mayor. He doubled down. That's a promise, he responded.

1226
01:07:51,760 --> 01:07:54,960
Speaker 1: His comments were detailed in Tempe police report recently released

1227
01:07:55,000 --> 01:07:57,920
Speaker 1: by the Arizona Republic as part of the public records request.

1228
01:07:58,240 --> 01:08:02,960
Speaker 1: A Tempe Least detective interview the sergeant and the other

1229
01:08:03,000 --> 01:08:06,360
Speaker 1: five officers who were at the meeting. Some officers remember

1230
01:08:06,440 --> 01:08:09,480
Speaker 1: the threat differently, of course. One officer said he remember

1231
01:08:09,520 --> 01:08:11,720
Speaker 1: them saying if they defund us, the first person on

1232
01:08:11,760 --> 01:08:15,080
Speaker 1: my list is the mayor. Oh, because that's better. Another

1233
01:08:15,120 --> 01:08:16,960
Speaker 1: one said, if they defund the police, I'll go over

1234
01:08:16,960 --> 01:08:19,960
Speaker 1: to the mayor's house and shoot it up. Oh yeah, okay,

1235
01:08:19,960 --> 01:08:22,599
Speaker 1: nothing to see here. Three of the officers said told

1236
01:08:22,680 --> 01:08:25,080
Speaker 1: Timpy to Detect that they believe Palos would not act

1237
01:08:25,120 --> 01:08:27,040
Speaker 1: on the threat because he was just vinny.

1238
01:08:27,800 --> 01:08:28,080
Speaker 6: You know.

1239
01:08:28,439 --> 01:08:31,320
Speaker 1: I think when you're a police officer, let's err on

1240
01:08:31,360 --> 01:08:34,320
Speaker 1: the side of if you thought this shit was a

1241
01:08:34,360 --> 01:08:37,960
Speaker 1: good joke to make, it's a problem you don't get

1242
01:08:37,960 --> 01:08:42,280
Speaker 1: to have that job. No, yeah, this isn't the fucking

1243
01:08:42,400 --> 01:08:45,719
Speaker 1: comedy factory. Okay, this isn't chuckle hutt.

1244
01:08:45,840 --> 01:08:48,320
Speaker 4: This is something that you can execute, and your job

1245
01:08:48,479 --> 01:08:50,000
Speaker 4: might be to protect this woman.

1246
01:08:50,720 --> 01:08:54,200
Speaker 1: You literally have a job where you can kill people.

1247
01:08:55,000 --> 01:08:57,280
Speaker 1: I think maybe we don't go with the jokes.

1248
01:08:57,439 --> 01:08:57,640
Speaker 4: You know.

1249
01:08:57,800 --> 01:08:59,519
Speaker 1: I also think if I had, like a school bus

1250
01:08:59,600 --> 01:09:01,639
Speaker 1: driver said I'm gonna runt over all these fucking kids,

1251
01:09:01,680 --> 01:09:02,280
Speaker 1: I'll be like.

1252
01:09:02,600 --> 01:09:04,759
Speaker 4: No, no, no, no, no, drive the bus.

1253
01:09:04,840 --> 01:09:09,360
Speaker 1: Let me get your keys, homy. Yeah, this is apparently

1254
01:09:09,400 --> 01:09:11,519
Speaker 1: this is not This isn't one of those type of

1255
01:09:11,600 --> 01:09:14,519
Speaker 1: jobs where it's all it's all, it's all jokes. We

1256
01:09:14,680 --> 01:09:20,120
Speaker 1: just get benefited. That hilarious. But yeah, he said it

1257
01:09:20,160 --> 01:09:21,400
Speaker 1: was a joke. I don't know why they made a

1258
01:09:21,400 --> 01:09:23,240
Speaker 1: big deal out of it, as just a joke, he

1259
01:09:23,320 --> 01:09:26,080
Speaker 1: said to the uh he told the course, he said

1260
01:09:26,080 --> 01:09:27,720
Speaker 1: the according to the police support, I.

1261
01:09:27,720 --> 01:09:30,320
Speaker 4: Would demand you be fired. Yeah, and you did it

1262
01:09:30,360 --> 01:09:31,200
Speaker 4: because she's a woman.

1263
01:09:31,560 --> 01:09:32,040
Speaker 2: Mm hmmm.

1264
01:09:33,280 --> 01:09:36,439
Speaker 4: You're trying to intimidate her because you and even what

1265
01:09:36,520 --> 01:09:39,280
Speaker 4: everybody else said, it's still forms. So you threaten that woman.

1266
01:09:39,360 --> 01:09:44,519
Speaker 4: You threatened her, yep, because if something happened to her motherfucker,

1267
01:09:44,600 --> 01:09:45,400
Speaker 4: I'm looking for you.

1268
01:09:46,800 --> 01:09:49,240
Speaker 1: Yep. He joined the police department in nineteen ninety eight.

1269
01:09:49,240 --> 01:09:52,320
Speaker 1: After four years in the Pittsburgh Police Department, he qualifies

1270
01:09:52,360 --> 01:09:55,000
Speaker 1: for retirement since he has worked for the Phoenix Department

1271
01:09:55,000 --> 01:09:57,360
Speaker 1: for more than twenty years, so they probably ended up

1272
01:09:57,560 --> 01:09:58,360
Speaker 1: retiring him.

1273
01:09:58,360 --> 01:09:59,760
Speaker 3: Or something pushing him out.

1274
01:09:59,800 --> 01:10:02,920
Speaker 1: Yeah, he's currently said to get a cash payout when

1275
01:10:02,920 --> 01:10:03,320
Speaker 1: he does.

1276
01:10:03,360 --> 01:10:05,879
Speaker 2: According to city documents. In early October, before.

1277
01:10:05,640 --> 01:10:10,439
Speaker 1: His threatening comments, the City Police Pension Board approved of

1278
01:10:10,479 --> 01:10:14,559
Speaker 1: the FER retirement Plan form, so he'll start getting monthly

1279
01:10:14,600 --> 01:10:16,880
Speaker 1: retirement payments now, to be paid as a lump sum

1280
01:10:16,920 --> 01:10:20,000
Speaker 1: when he retires in addition to his monthly retirement payments.

1281
01:10:20,000 --> 01:10:23,360
Speaker 1: According to the description of the FER retirement program.

1282
01:10:22,800 --> 01:10:25,400
Speaker 4: Wouldn't surprised me if on the load they don't fire

1283
01:10:25,479 --> 01:10:27,840
Speaker 4: him the next few months, he'll just quietly retire and

1284
01:10:27,880 --> 01:10:29,679
Speaker 4: disappear and we'll never hit this shit again.

1285
01:10:30,120 --> 01:10:35,920
Speaker 1: Crazy. I'm the hotels accepted millions in PPP funds but

1286
01:10:36,040 --> 01:10:39,920
Speaker 1: didn't pay workers. And this is why it's so fucking

1287
01:10:40,000 --> 01:10:46,440
Speaker 1: important that money go directly to American citizens, not companies,

1288
01:10:46,880 --> 01:10:49,479
Speaker 1: not corporations, because if you.

1289
01:10:49,400 --> 01:10:51,320
Speaker 4: Want the come me to move, it ain't through them.

1290
01:10:51,560 --> 01:10:55,320
Speaker 1: Yeah, not the airlines, none of this shit, because they

1291
01:10:55,400 --> 01:10:58,720
Speaker 1: will take the money and cut jobs anyway and be like,

1292
01:10:58,840 --> 01:11:01,880
Speaker 1: we need more money because I need to get my CEO.

1293
01:11:02,000 --> 01:11:04,720
Speaker 1: Did we need our shareholders dividends to look a certain way?

1294
01:11:04,760 --> 01:11:05,280
Speaker 1: And were gone.

1295
01:11:05,800 --> 01:11:07,960
Speaker 4: The rest of the players, the rest of the worker

1296
01:11:07,960 --> 01:11:10,400
Speaker 4: is to death. And like you said, instelled the Minma money.

1297
01:11:10,560 --> 01:11:14,920
Speaker 1: Yeah, you give this money to people directly into their pockets,

1298
01:11:15,600 --> 01:11:17,920
Speaker 1: you know, like that two thousand dollars that Mitch McConnell

1299
01:11:18,000 --> 01:11:21,400
Speaker 1: just struck down, you know, for everybody today, like.

1300
01:11:21,360 --> 01:11:23,719
Speaker 4: When people need to give a fuck. And I hope,

1301
01:11:23,920 --> 01:11:26,360
Speaker 4: I really do hope people to watching him. You know,

1302
01:11:26,479 --> 01:11:29,560
Speaker 4: all these ignorant ass people you know talking about I

1303
01:11:29,600 --> 01:11:32,080
Speaker 4: broke this nigga undone don't voted that thing down like

1304
01:11:32,120 --> 01:11:34,000
Speaker 4: three or four times in the last week.

1305
01:11:34,760 --> 01:11:37,559
Speaker 1: Yeah, I mean, at this point, he's basically made it

1306
01:11:37,640 --> 01:11:39,799
Speaker 1: so that the only thing that should matter to folks

1307
01:11:39,800 --> 01:11:45,479
Speaker 1: from here until I believe the fifth or something like that,

1308
01:11:45,880 --> 01:11:50,439
Speaker 1: here until whenever the Georgia runoffs are done, is winning

1309
01:11:50,520 --> 01:11:53,320
Speaker 1: georgiats the only thing, and you have to get both

1310
01:11:53,360 --> 01:11:56,120
Speaker 1: seats or else. He's gonna be the guy who will

1311
01:11:56,120 --> 01:11:59,439
Speaker 1: strike this down every time and he's gonna try to

1312
01:11:59,479 --> 01:12:00,200
Speaker 1: make sure that.

1313
01:12:01,720 --> 01:12:01,960
Speaker 3: Done.

1314
01:12:02,080 --> 01:12:04,840
Speaker 1: He's gonna try to make sure that he wedges Republican

1315
01:12:04,920 --> 01:12:07,280
Speaker 1: issues into these bills.

1316
01:12:07,880 --> 01:12:10,960
Speaker 2: And what he wants now is to send this back

1317
01:12:10,960 --> 01:12:11,400
Speaker 2: to the House.

1318
01:12:11,400 --> 01:12:13,640
Speaker 1: Because Nancy Pelosi was actually able to get like I

1319
01:12:13,680 --> 01:12:16,160
Speaker 1: forget how many what percentage, like thirty percent? She was

1320
01:12:16,200 --> 01:12:18,840
Speaker 1: able to get Republicans to vote to pass this.

1321
01:12:18,960 --> 01:12:21,799
Speaker 4: They tired yes because the constituents wounded.

1322
01:12:22,160 --> 01:12:23,400
Speaker 2: It wasn't just Democrats.

1323
01:12:23,479 --> 01:12:26,040
Speaker 1: They passed this with Republicans also, they got a two

1324
01:12:26,120 --> 01:12:30,799
Speaker 1: thirds majority. Nance Felosi a bad bitch. These motherfuckers don't understand.

1325
01:12:30,880 --> 01:12:34,200
Speaker 1: But okay, she got them to pass this. It goes

1326
01:12:34,200 --> 01:12:36,640
Speaker 1: to the Senate. Of course, we know Mitch McConnell will

1327
01:12:36,640 --> 01:12:39,280
Speaker 1: strike it down. But it's a chess move because now

1328
01:12:39,560 --> 01:12:42,960
Speaker 1: the American people, especially if you're in Georgia, the only

1329
01:12:42,960 --> 01:12:45,760
Speaker 1: person holding you back is Mitch McConnell. Now, the Republicans

1330
01:12:45,840 --> 01:12:50,759
Speaker 1: knew Mitch McConnell will shoot it down. So Leffler and

1331
01:12:50,960 --> 01:12:56,120
Speaker 1: I forget the man's name that's running against all Soft

1332
01:12:56,120 --> 01:12:58,800
Speaker 1: and Warner, but both of them said we support the

1333
01:12:58,840 --> 01:13:02,200
Speaker 1: two thousand dollars payments. They had to chess.

1334
01:13:01,920 --> 01:13:04,519
Speaker 4: Move because they knew if they said no, they would

1335
01:13:04,520 --> 01:13:05,759
Speaker 4: fucking lose those seats.

1336
01:13:05,760 --> 01:13:07,800
Speaker 1: But that should tell you how fucking scared they are.

1337
01:13:08,880 --> 01:13:12,599
Speaker 1: They blinked because this is they're supposed to be able

1338
01:13:12,600 --> 01:13:15,599
Speaker 1: to say, like, nah, fuck that we sided with Mitch,

1339
01:13:15,960 --> 01:13:18,360
Speaker 1: we sided with Republicans. They don't have a luxury right now.

1340
01:13:18,680 --> 01:13:21,680
Speaker 1: That's how much they are on their fucking next. But

1341
01:13:21,800 --> 01:13:23,960
Speaker 1: we need to win. We have to stay on the

1342
01:13:24,040 --> 01:13:26,920
Speaker 1: next because there's no guarantee we're gonna get some fucking

1343
01:13:26,960 --> 01:13:31,400
Speaker 1: liberal utopia. But we definitely won't get anything if mcconno

1344
01:13:31,520 --> 01:13:34,200
Speaker 1: is still in power, and only Georgia can scare him

1345
01:13:34,200 --> 01:13:34,599
Speaker 1: out of that.

1346
01:13:35,280 --> 01:13:36,519
Speaker 2: Now mc conna wants.

1347
01:13:36,320 --> 01:13:39,880
Speaker 1: To challenge to add some shit to like the bills,

1348
01:13:40,000 --> 01:13:42,880
Speaker 1: so that they can do voter suppression. And so you

1349
01:13:42,920 --> 01:13:44,880
Speaker 1: know it's gonna start out in the House because nance

1350
01:13:44,920 --> 01:13:46,719
Speaker 1: Pelosi and they ain't about to vote for no shit

1351
01:13:47,120 --> 01:13:50,479
Speaker 1: that's gonna suppress votes, right, so so he so, But

1352
01:13:50,560 --> 01:13:53,439
Speaker 1: by the time that shit happens, the runoff will be over. Yes,

1353
01:13:53,520 --> 01:13:56,120
Speaker 1: So I really do hope people are paying attention to this,

1354
01:13:56,240 --> 01:13:59,320
Speaker 1: and if they're not paying attention out the small print,

1355
01:13:59,400 --> 01:14:02,839
Speaker 1: I hope you're in staying Mitch Mcconnoell is the problem,

1356
01:14:02,960 --> 01:14:05,680
Speaker 1: and only getting him out of power will get us,

1357
01:14:05,760 --> 01:14:07,160
Speaker 1: will get you out of the situations.

1358
01:14:07,280 --> 01:14:10,160
Speaker 4: Yes, so you are just not paying attention if you

1359
01:14:10,200 --> 01:14:12,599
Speaker 4: do not realize that this man is the problem.

1360
01:14:13,280 --> 01:14:17,439
Speaker 1: Right. But yeah, of course these people took money and

1361
01:14:17,479 --> 01:14:20,920
Speaker 1: didn't pay their employees. Companies. Companies do emral shit all

1362
01:14:20,920 --> 01:14:22,719
Speaker 1: the time and we just call it business.

1363
01:14:23,120 --> 01:14:23,320
Speaker 4: Right.

1364
01:14:24,400 --> 01:14:27,920
Speaker 1: Meek Mill apologizes at the going on a going viral

1365
01:14:27,960 --> 01:14:32,920
Speaker 1: on Twitter for his clubhouse app rent clubhouse is such

1366
01:14:32,920 --> 01:14:37,920
Speaker 1: a weird place. Meek Mill is the topic of discussion

1367
01:14:37,920 --> 01:14:40,240
Speaker 1: once again, and it's not for his Twitter fingers, but

1368
01:14:40,280 --> 01:14:43,000
Speaker 1: for ranting on the clubhouse app earlier this morning, tweets

1369
01:14:43,000 --> 01:14:45,280
Speaker 1: the screen recordings of the rappers Loud and Wrong tirade

1370
01:14:45,320 --> 01:14:48,120
Speaker 1: on the newer social media platform hit Twitter timelines, and

1371
01:14:48,240 --> 01:14:50,960
Speaker 1: many fans are wondering what could have triggered his outbursts. Apparently,

1372
01:14:51,000 --> 01:14:52,840
Speaker 1: things went all the way left in a room where

1373
01:14:53,000 --> 01:14:56,120
Speaker 1: they started to discuss black men who don't uplift other

1374
01:14:56,160 --> 01:14:59,920
Speaker 1: black men in the room, meet meals fast on a

1375
01:15:00,000 --> 01:15:02,599
Speaker 1: another user when he disagreed with his take on the situation,

1376
01:15:03,080 --> 01:15:05,519
Speaker 1: and that's when the dream Chaser's boss went off on

1377
01:15:05,560 --> 01:15:08,960
Speaker 1: the individual, yelling you a pussy you come from Delaware,

1378
01:15:09,240 --> 01:15:12,519
Speaker 1: much of the dismay of the attendees in the room,

1379
01:15:12,560 --> 01:15:17,519
Speaker 1: which featured twenty one Savage and other right there, me

1380
01:15:17,760 --> 01:15:21,240
Speaker 1: versus nicky boyfriend Nikki just had a fucking baby.

1381
01:15:21,360 --> 01:15:22,679
Speaker 4: I just had a fucking baby.

1382
01:15:26,479 --> 01:15:28,960
Speaker 1: So then he started talking about Nicki Minaj having a

1383
01:15:28,960 --> 01:15:35,519
Speaker 1: baby because he's beefing with her husband, Kenny Petty. What

1384
01:15:35,560 --> 01:15:38,720
Speaker 1: the fuck mean? What be happening on the clubhouse?

1385
01:15:41,560 --> 01:15:53,000
Speaker 8: Listen, bron Getta, who is this talking?

1386
01:15:53,400 --> 01:15:57,639
Speaker 1: This is is a rank you pussy you come from?

1387
01:16:03,479 --> 01:16:06,479
Speaker 1: I mean, it's so funny that meet Meal yelling is

1388
01:16:06,560 --> 01:16:08,040
Speaker 1: really just as regular rap voice.

1389
01:16:08,560 --> 01:16:11,040
Speaker 4: Okay, that makes sense because you know when I listen

1390
01:16:11,040 --> 01:16:12,599
Speaker 4: to and rap, I say, he just sounds like you're

1391
01:16:12,680 --> 01:16:13,160
Speaker 4: yelling at me.

1392
01:16:14,840 --> 01:16:17,960
Speaker 1: Niggas bridging. It gets between niggas that don't got no money.

1393
01:16:19,840 --> 01:16:25,680
Speaker 1: He grew up all right. Yeah. So you know what

1394
01:16:25,720 --> 01:16:29,719
Speaker 1: I find interesting about clubhouse, though, is that the people

1395
01:16:29,760 --> 01:16:33,080
Speaker 1: who really get off on being over there are all

1396
01:16:33,200 --> 01:16:36,960
Speaker 1: the fucking woke people that claim to you know, these

1397
01:16:37,240 --> 01:16:40,960
Speaker 1: so and so's canceled. So and so is problematic, so

1398
01:16:41,000 --> 01:16:45,040
Speaker 1: and so, you know, shouldn't have a platform, but they

1399
01:16:45,120 --> 01:16:47,400
Speaker 1: kind of give them the platform because they be over

1400
01:16:47,439 --> 01:16:51,519
Speaker 1: there listening, hanging on every word. They run to these

1401
01:16:51,600 --> 01:16:54,760
Speaker 1: rooms where the people that they claim are horrible people.

1402
01:16:54,800 --> 01:16:57,200
Speaker 1: When they show up, they can't wait to be there.

1403
01:16:57,880 --> 01:16:59,840
Speaker 4: Some of the biggest rooms, they can't wait to be.

1404
01:16:59,800 --> 01:17:02,280
Speaker 1: There, like, oh, here go Kevin Hart boom, Here go

1405
01:17:02,479 --> 01:17:07,080
Speaker 1: Iggy Azela boom, higgo Ezel your banks boom, like anyone

1406
01:17:07,400 --> 01:17:10,439
Speaker 1: fucked up. They be over there like I can't wait

1407
01:17:10,479 --> 01:17:13,080
Speaker 1: to get this tea. And I really think Clubhouse is

1408
01:17:13,120 --> 01:17:15,800
Speaker 1: pointing out the hypocracy that people exist with where it's

1409
01:17:15,840 --> 01:17:19,280
Speaker 1: like you actually are addicted to these celebrities that you

1410
01:17:19,320 --> 01:17:22,640
Speaker 1: claim to hate. You really you need them for the

1411
01:17:22,760 --> 01:17:26,800
Speaker 1: material because and unlike other media, where you can be like,

1412
01:17:26,840 --> 01:17:28,920
Speaker 1: well I have a Twitter account and I heard so

1413
01:17:28,960 --> 01:17:31,680
Speaker 1: and so said something problematic or what this is, you

1414
01:17:31,840 --> 01:17:34,320
Speaker 1: literally signing up to go to a room to listen

1415
01:17:34,360 --> 01:17:36,880
Speaker 1: to them. You can't even pretend like, well, since it's

1416
01:17:36,880 --> 01:17:40,120
Speaker 1: trending or this is news. No, you have to opt

1417
01:17:40,240 --> 01:17:41,960
Speaker 1: in to want to know what the fuck is going

1418
01:17:42,000 --> 01:17:44,640
Speaker 1: on over there. And so I see people rush to

1419
01:17:44,680 --> 01:17:47,280
Speaker 1: the rooms. Tell everybody on other social media so and

1420
01:17:47,360 --> 01:17:50,040
Speaker 1: So's in this room. And I'm not saying everybody, but

1421
01:17:50,120 --> 01:17:53,080
Speaker 1: if you want these woke motherfuckers that claim to hate

1422
01:17:53,080 --> 01:17:55,880
Speaker 1: this shit, what are you doing playing in that sandbox?

1423
01:17:57,520 --> 01:17:59,760
Speaker 1: That's crazy, Like they really get off on that shit.

1424
01:18:00,120 --> 01:18:02,559
Speaker 1: Like what would you have if you couldn't complain about everything?

1425
01:18:03,439 --> 01:18:07,120
Speaker 1: Because I like, I literally deleted this shit off my phone.

1426
01:18:07,280 --> 01:18:10,439
Speaker 1: I'm like, what's the point? Cause not the other thing too?

1427
01:18:10,640 --> 01:18:14,679
Speaker 1: For me? Anyway, it's such a toxic I think Teava

1428
01:18:14,760 --> 01:18:17,400
Speaker 1: Queen and Jay they call it a toxic networking or

1429
01:18:17,520 --> 01:18:21,040
Speaker 1: something like that. It's it's definitely toxic networking environment. A

1430
01:18:21,040 --> 01:18:24,760
Speaker 1: lot of people on there trying to talk about being

1431
01:18:24,840 --> 01:18:28,559
Speaker 1: somebody trying to get Like you said, this is you

1432
01:18:28,640 --> 01:18:30,680
Speaker 1: heard the person in the room go, hey man, this

1433
01:18:30,720 --> 01:18:32,880
Speaker 1: is a room for people to niggas that don't got

1434
01:18:32,920 --> 01:18:34,920
Speaker 1: money to get what people that do got money. Like

1435
01:18:35,600 --> 01:18:39,439
Speaker 1: everything over there just feels very like who are you?

1436
01:18:39,720 --> 01:18:42,880
Speaker 1: What are you? How can I use that to get on? Yeah?

1437
01:18:42,920 --> 01:18:47,160
Speaker 4: And also it's just another form of social media, and

1438
01:18:47,400 --> 01:18:49,840
Speaker 4: just like with everything else, the problem a lot of

1439
01:18:49,880 --> 01:18:53,040
Speaker 4: times isn't the platforms themselves, it's the people. And that's

1440
01:18:53,040 --> 01:18:55,360
Speaker 4: something that people don't want to admit, like they are

1441
01:18:55,479 --> 01:18:58,880
Speaker 4: part of the problem because no matter how much they

1442
01:19:00,240 --> 01:19:02,679
Speaker 4: have these things, people are going to find a way

1443
01:19:02,720 --> 01:19:05,400
Speaker 4: to abuse them. People are going to find a way

1444
01:19:05,439 --> 01:19:07,720
Speaker 4: to make the situations about them. In clubhouse is just

1445
01:19:07,760 --> 01:19:11,960
Speaker 4: another platform for these people who are on other social

1446
01:19:12,040 --> 01:19:14,640
Speaker 4: media sites to go over there and just do the

1447
01:19:14,680 --> 01:19:15,160
Speaker 4: same thing.

1448
01:19:16,040 --> 01:19:18,719
Speaker 1: Yeah, it's crazy. It's like that was just a little

1449
01:19:18,720 --> 01:19:22,479
Speaker 1: more crazy because it's direct interaction, Like you're not even

1450
01:19:22,520 --> 01:19:25,400
Speaker 1: talking at the people. You only go like, you know,

1451
01:19:25,600 --> 01:19:28,720
Speaker 1: people being I've seen people that talk about like so

1452
01:19:28,760 --> 01:19:31,400
Speaker 1: and so is an abuser, blah blah blah. They be

1453
01:19:31,479 --> 01:19:34,320
Speaker 1: in the room with the person that like it, and

1454
01:19:34,400 --> 01:19:36,360
Speaker 1: it was funny is that they be in the room

1455
01:19:36,520 --> 01:19:38,960
Speaker 1: clocking who else is in the room, being like, Wow,

1456
01:19:39,280 --> 01:19:41,120
Speaker 1: you say you stand up for this, but you're with

1457
01:19:41,200 --> 01:19:44,280
Speaker 1: this person, niggas, so are you you? And no goddamn

1458
01:19:44,400 --> 01:19:47,840
Speaker 1: room too. Everyone is addicted to want to be part

1459
01:19:48,000 --> 01:19:50,760
Speaker 1: of this shit, you know what I mean, Like, you

1460
01:19:50,760 --> 01:19:54,000
Speaker 1: gotta examine yourself and why you use it that way.

1461
01:19:54,280 --> 01:19:56,920
Speaker 1: I can see, you know, because it kind of just

1462
01:19:57,120 --> 01:20:01,439
Speaker 1: illustrates that this shit is just cond It's not really

1463
01:20:01,479 --> 01:20:05,080
Speaker 1: your morals, it's not really your principles. It's content that

1464
01:20:05,200 --> 01:20:07,919
Speaker 1: gives you attention because look at me talk about this content.

1465
01:20:08,240 --> 01:20:11,200
Speaker 1: But admit it. Admit it. You don't have to like

1466
01:20:11,400 --> 01:20:13,719
Speaker 1: I'm not saying you're a bad person, but just stop

1467
01:20:13,760 --> 01:20:15,840
Speaker 1: acting so high and mighty above everybody else.

1468
01:20:15,880 --> 01:20:19,840
Speaker 4: You're not above it, because the thing is, it's human nature,

1469
01:20:19,920 --> 01:20:23,400
Speaker 4: like we're all human. It's human nature to to look

1470
01:20:23,439 --> 01:20:25,640
Speaker 4: over like, oh, it's a fight. Like sometimes even if

1471
01:20:25,640 --> 01:20:28,040
Speaker 4: you don't go in that direction, you recognize it. It's

1472
01:20:28,080 --> 01:20:30,320
Speaker 4: a fight, you know. And it's one of those things

1473
01:20:30,320 --> 01:20:33,519
Speaker 4: where people act like they're above those type things.

1474
01:20:33,600 --> 01:20:35,840
Speaker 1: And the thing is, it's not even always like I'm

1475
01:20:35,880 --> 01:20:38,760
Speaker 1: attracted to the conflict of a fight. A lot of

1476
01:20:38,840 --> 01:20:43,240
Speaker 1: times it's just this person is on here. They're known

1477
01:20:43,320 --> 01:20:46,240
Speaker 1: to say, fucked up shit, Yes, I want to go

1478
01:20:46,360 --> 01:20:49,719
Speaker 1: see it. It's not even about to fight like you

1479
01:20:49,880 --> 01:20:52,439
Speaker 1: like that shit and just admit it.

1480
01:20:52,520 --> 01:20:53,200
Speaker 4: And that's fine.

1481
01:20:53,439 --> 01:20:55,759
Speaker 1: Stop acting like you better than everybody writing think pieces.

1482
01:20:55,800 --> 01:20:58,320
Speaker 1: You actually do funk with it. It's like the people

1483
01:20:58,360 --> 01:21:00,800
Speaker 1: that watch like reality TV, but then they try to

1484
01:21:00,840 --> 01:21:05,320
Speaker 1: dissect it from like this, James Baldwin asked, like it's

1485
01:21:05,360 --> 01:21:07,840
Speaker 1: like dog, you know, you wanted to see these motherfuckers

1486
01:21:07,880 --> 01:21:10,320
Speaker 1: throw wine bottles at each other. Do you don't gotta

1487
01:21:10,320 --> 01:21:11,000
Speaker 1: act better than me?

1488
01:21:11,640 --> 01:21:13,760
Speaker 4: That's how me and Roger gwatch cheatahs because we know

1489
01:21:13,800 --> 01:21:14,639
Speaker 4: we ain't above it.

1490
01:21:14,720 --> 01:21:18,519
Speaker 1: All right, Listen, people be like, oh, you don't watch

1491
01:21:18,600 --> 01:21:21,760
Speaker 1: Real Housewives? Think you better? I'm like, no, nigga, I

1492
01:21:21,800 --> 01:21:27,479
Speaker 1: don't watch Real Housewives because it's not enough. Okay. I'm

1493
01:21:27,560 --> 01:21:31,719
Speaker 1: at the stage where I'm walking past the gutter looking

1494
01:21:31,760 --> 01:21:34,240
Speaker 1: down in the gutter like ooh, is that is that correct?

1495
01:21:34,800 --> 01:21:37,240
Speaker 2: I might even have to smoke that the sea.

1496
01:21:37,920 --> 01:21:41,320
Speaker 1: That is where I'm at with it. I'm not above you, nigga,

1497
01:21:41,320 --> 01:21:43,280
Speaker 1: I'm below you, and I wish you would join me

1498
01:21:43,760 --> 01:21:46,760
Speaker 1: and admitting that you down here too. You want to

1499
01:21:46,800 --> 01:21:48,759
Speaker 1: see them fights, You want to see people act stupid.

1500
01:21:48,760 --> 01:21:50,439
Speaker 1: You want to see people call each other names.

1501
01:21:50,720 --> 01:21:51,600
Speaker 4: It's entertaining.

1502
01:21:51,840 --> 01:21:54,800
Speaker 1: Try like you better than somebody else. But no, I

1503
01:21:54,920 --> 01:21:57,680
Speaker 1: watched them call names so I could dissect it from

1504
01:21:58,000 --> 01:22:02,280
Speaker 1: this angle of you know, are we looking enough at

1505
01:22:02,360 --> 01:22:06,200
Speaker 1: the socialist perspective? Like, no, nigga, you want to see

1506
01:22:06,960 --> 01:22:10,479
Speaker 1: Mama dee uh, try to fuck ernest, stop trying to

1507
01:22:10,439 --> 01:22:14,360
Speaker 1: act at Stop trying to act like you motherfucking solve

1508
01:22:14,479 --> 01:22:19,160
Speaker 1: the goddamn equation. You did not do no such thing anyway.

1509
01:22:19,920 --> 01:22:23,719
Speaker 1: All right, let's get into some other news. Let's see,

1510
01:22:23,840 --> 01:22:32,599
Speaker 1: how about let's do some fucking with black people. Here

1511
01:22:32,600 --> 01:22:32,920
Speaker 1: we go?

1512
01:22:34,280 --> 01:22:54,360
Speaker 6: Who with them people? Because they.

1513
01:22:53,400 --> 01:23:16,519
Speaker 10: Just Booger McFarlane, who is a analyst on ESPN black dude,

1514
01:23:18,320 --> 01:23:20,200
Speaker 10: not to be confused with Snats mackenzie.

1515
01:23:20,320 --> 01:23:22,240
Speaker 1: I know a lot of people get them too mixed up.

1516
01:23:22,600 --> 01:23:29,120
Speaker 1: But Booger McFarland had some comments about and he posted

1517
01:23:29,120 --> 01:23:33,320
Speaker 1: it on Twitter himself about his message. Because Dwayne Haskins

1518
01:23:33,479 --> 01:23:36,720
Speaker 1: is a black quarterback and he just flamed himself out

1519
01:23:36,760 --> 01:23:39,160
Speaker 1: of the league by acting stupid. Went to a strip

1520
01:23:39,200 --> 01:23:44,080
Speaker 1: club during the pandemic. His coach had his fighting cancer.

1521
01:23:44,680 --> 01:23:48,559
Speaker 1: Definitely has periosist in conditions, you know, and it was

1522
01:23:48,760 --> 01:23:50,880
Speaker 1: he had already been playing sorry as hell, so it

1523
01:23:50,960 --> 01:23:55,519
Speaker 1: was like his last step. And then the Washington football

1524
01:23:55,560 --> 01:23:58,240
Speaker 1: team cut him yesterday. Okay, so he's out of the league.

1525
01:23:58,600 --> 01:23:59,840
Speaker 1: So boogerfall is like.

1526
01:24:00,720 --> 01:24:02,400
Speaker 9: I've seen this too many times. Play in the NFL

1527
01:24:02,439 --> 01:24:04,280
Speaker 9: almost a decade. You play a long time, We've been

1528
01:24:04,280 --> 01:24:07,599
Speaker 9: around it for a long time. And oftentimes young players

1529
01:24:07,880 --> 01:24:10,960
Speaker 9: especially and I'm gonna go here, especially young African American players,

1530
01:24:11,160 --> 01:24:13,400
Speaker 9: because they make up seventy percent of this league. They

1531
01:24:13,439 --> 01:24:15,800
Speaker 9: come into this league and they ask themselves the wrong thing.

1532
01:24:16,360 --> 01:24:18,960
Speaker 9: They come into the league saying not how can I

1533
01:24:18,960 --> 01:24:21,600
Speaker 9: be a better player. They don't say how can I

1534
01:24:21,600 --> 01:24:23,720
Speaker 9: be a better teammate? They don't say how can I

1535
01:24:23,760 --> 01:24:26,880
Speaker 9: be better a better person? How can I get my

1536
01:24:26,960 --> 01:24:29,040
Speaker 9: organization over the hump? Here's what they come in and saying.

1537
01:24:29,280 --> 01:24:31,400
Speaker 9: They come in and saying, how can I build my

1538
01:24:31,479 --> 01:24:34,840
Speaker 9: brand better? How can I build my social media following better?

1539
01:24:34,920 --> 01:24:37,120
Speaker 9: How can I work out on Instagram and show everybody

1540
01:24:37,240 --> 01:24:38,120
Speaker 9: that I'm ready to go?

1541
01:24:38,640 --> 01:24:40,040
Speaker 1: But when I get to the game.

1542
01:24:40,280 --> 01:24:44,080
Speaker 9: I don't perform. Dwayne Haskins, unfortunately, is not the first

1543
01:24:44,120 --> 01:24:46,680
Speaker 9: case that I've seen like this, and it won't be

1544
01:24:46,720 --> 01:24:50,040
Speaker 9: the last. And it bothers me because a lot of

1545
01:24:50,080 --> 01:24:51,960
Speaker 9: it is the young African American player.

1546
01:24:52,160 --> 01:24:55,160
Speaker 1: They come in and they don't take this as a business.

1547
01:24:55,200 --> 01:24:56,840
Speaker 1: It is still a game to them.

1548
01:24:56,920 --> 01:24:57,879
Speaker 4: Look at it as it's football.

1549
01:24:58,040 --> 01:25:01,519
Speaker 9: This ain't football, man, This is a big dollar business. Yes,

1550
01:25:01,640 --> 01:25:04,320
Speaker 9: it's billions of dollars. They pay us a lot of

1551
01:25:04,320 --> 01:25:06,720
Speaker 9: money to talk about the game. So imagine what they

1552
01:25:06,800 --> 01:25:08,200
Speaker 9: play these guys.

1553
01:25:07,920 --> 01:25:08,880
Speaker 4: To play the game.

1554
01:25:09,680 --> 01:25:12,439
Speaker 9: They play a child's game to get paid at kings ransom.

1555
01:25:12,640 --> 01:25:15,320
Speaker 9: And it bothers me because I saw a quarterback do it.

1556
01:25:15,760 --> 01:25:18,200
Speaker 9: I saw your Marcus Russell do it, the number one

1557
01:25:18,200 --> 01:25:20,439
Speaker 9: pick in the draft that gave it forty million dollars,

1558
01:25:20,479 --> 01:25:22,400
Speaker 9: and you threw it down the damn dream because he

1559
01:25:22,439 --> 01:25:25,800
Speaker 9: didn't take it seriously. And it bothers me because they

1560
01:25:25,840 --> 01:25:27,280
Speaker 9: did a lot of jobs like this around.

1561
01:25:27,640 --> 01:25:29,680
Speaker 1: I'm gonna take you I've been retired, awhile.

1562
01:25:29,840 --> 01:25:31,519
Speaker 9: It's not a lot of job like that around where

1563
01:25:31,520 --> 01:25:34,800
Speaker 9: they will pay you millions of dollars for virtually six

1564
01:25:34,880 --> 01:25:38,360
Speaker 9: months of performance. So my message to Dwayne Haskins is

1565
01:25:38,400 --> 01:25:40,519
Speaker 9: not just him, but the rest of the young players

1566
01:25:40,520 --> 01:25:42,479
Speaker 9: in the NFL. Man, this is a game, but take

1567
01:25:42,520 --> 01:25:45,000
Speaker 9: it as a business. There are billions with the b

1568
01:25:45,560 --> 01:25:48,920
Speaker 9: of dollars at stake, And until you start approaching this

1569
01:25:49,040 --> 01:25:52,040
Speaker 9: game that way, until you start coming to work saying,

1570
01:25:52,040 --> 01:25:54,280
Speaker 9: you know, what what can I do to get better today?

1571
01:25:54,760 --> 01:25:57,280
Speaker 9: What can I do to make sure my teammates are

1572
01:25:57,280 --> 01:25:59,880
Speaker 9: better today? How can I put my organization first and

1573
01:26:00,080 --> 01:26:04,080
Speaker 9: set up my damn Instagram? Take it as a serious business,

1574
01:26:04,080 --> 01:26:06,080
Speaker 9: but too many times it's a game.

1575
01:26:06,320 --> 01:26:08,000
Speaker 1: We want to TikTok, we want to do all these

1576
01:26:08,000 --> 01:26:10,360
Speaker 1: different things. Man, do you understand how much money is

1577
01:26:10,360 --> 01:26:15,640
Speaker 1: that to take? So that was his commentary about he

1578
01:26:15,800 --> 01:26:16,679
Speaker 1: sounds stupid.

1579
01:26:16,760 --> 01:26:19,640
Speaker 4: And I'm gonna say this. For the reason why I

1580
01:26:19,720 --> 01:26:25,240
Speaker 4: say this is because, yes, you're an old man.

1581
01:26:25,280 --> 01:26:25,719
Speaker 1: You're old.

1582
01:26:25,760 --> 01:26:27,400
Speaker 4: A lot of this shit was not around when you

1583
01:26:27,520 --> 01:26:30,240
Speaker 4: was into the league. And this is the job. And

1584
01:26:30,320 --> 01:26:32,240
Speaker 4: guess what they do. They chew them up and spit

1585
01:26:32,360 --> 01:26:36,400
Speaker 4: them out. So, yes, you have to think about your brand.

1586
01:26:36,560 --> 01:26:39,960
Speaker 4: You are a brand, like you know, I know, the

1587
01:26:40,000 --> 01:26:43,200
Speaker 4: football try to put itself up there as we dosh.

1588
01:26:43,240 --> 01:26:46,879
Speaker 4: You comes first, YadA, YadA, YadA. Okay, but what happens

1589
01:26:46,920 --> 01:26:50,040
Speaker 4: to them once they get a PTSD? What happens to

1590
01:26:50,120 --> 01:26:52,559
Speaker 4: them you know when they get old and can't get

1591
01:26:52,600 --> 01:26:55,240
Speaker 4: insurance and shit like that, Like what happens to them

1592
01:26:55,479 --> 01:26:58,360
Speaker 4: after your life after football? And it's one of these

1593
01:26:58,400 --> 01:27:01,880
Speaker 4: things where you're singling out black players like white players

1594
01:27:01,920 --> 01:27:05,400
Speaker 4: don't do the same thing. You know, you have Brett Fahr,

1595
01:27:05,439 --> 01:27:08,519
Speaker 4: you have Johnny Manziel, you have these people out there

1596
01:27:08,920 --> 01:27:12,000
Speaker 4: that that do this. The dude the exact same thing.

1597
01:27:12,160 --> 01:27:15,240
Speaker 4: So what are we talking about here? It sounds like

1598
01:27:15,320 --> 01:27:18,680
Speaker 4: you're bringing these black players because they're black and they're

1599
01:27:18,720 --> 01:27:21,640
Speaker 4: quote unquote show boating and doing this shit. Maybe you

1600
01:27:22,080 --> 01:27:25,000
Speaker 4: may have opted not to do which is fine. Nobody's

1601
01:27:25,000 --> 01:27:27,360
Speaker 4: saying that you have to show boat. But at the

1602
01:27:27,479 --> 01:27:31,000
Speaker 4: same time, they get paid to do this job because

1603
01:27:31,120 --> 01:27:33,479
Speaker 4: very few people can do the job in the first place,

1604
01:27:33,520 --> 01:27:35,640
Speaker 4: because if it was something that everybody could do, they

1605
01:27:35,680 --> 01:27:38,120
Speaker 4: would not pay them the money that they pay them.

1606
01:27:38,560 --> 01:27:41,880
Speaker 1: Yeah, and I have a few things to add. First

1607
01:27:41,880 --> 01:27:45,559
Speaker 1: of all, I mean booger McFarland not to be confused

1608
01:27:45,560 --> 01:27:48,360
Speaker 1: with Mucus Johns, because I know a lot of people

1609
01:27:48,479 --> 01:27:52,160
Speaker 1: get him snaps Mackenzie in and Mucus John's confused. Booger

1610
01:27:52,360 --> 01:27:57,840
Speaker 1: McFarland making it about a race thing is where he

1611
01:27:57,920 --> 01:28:02,240
Speaker 1: lost me. I don't think an older guy coming down

1612
01:28:02,280 --> 01:28:04,920
Speaker 1: on young players for wasting opportunities. That doesn't bother me

1613
01:28:04,960 --> 01:28:09,120
Speaker 1: that much. I think that shit, there's wisdom in that, Hey,

1614
01:28:09,160 --> 01:28:11,720
Speaker 1: you wasted your opportunity. This is clearly you blowing it.

1615
01:28:11,800 --> 01:28:15,720
Speaker 1: You didn't take it seriously. And everything he said can

1616
01:28:15,760 --> 01:28:19,760
Speaker 1: apply to any race, right like, hey, Ryan Leaf, you

1617
01:28:20,120 --> 01:28:22,760
Speaker 1: blew it. You didn't take the league seriously. And now

1618
01:28:22,760 --> 01:28:29,240
Speaker 1: you're ass at home. You know, of Johnny Manziel, you

1619
01:28:29,280 --> 01:28:31,600
Speaker 1: know what I mean, Like you, there's people that have

1620
01:28:31,720 --> 01:28:35,200
Speaker 1: had this happened to them that aren't black, that have

1621
01:28:35,560 --> 01:28:39,320
Speaker 1: basically had the same issues and took their ass home.

1622
01:28:40,000 --> 01:28:43,600
Speaker 1: You know, shit literally low key Tim Tebow, Yes, a

1623
01:28:43,680 --> 01:28:46,519
Speaker 1: dude that was way more concerned about branding, just having

1624
01:28:46,520 --> 01:28:49,519
Speaker 1: to be that Christian wholesome branding, but still way more

1625
01:28:49,560 --> 01:28:53,120
Speaker 1: concerned about the camera than he was about football.

1626
01:28:53,400 --> 01:28:53,600
Speaker 4: You know.

1627
01:28:54,439 --> 01:28:57,160
Speaker 1: And it's weird that you lay all that at the

1628
01:28:57,200 --> 01:29:00,960
Speaker 1: feet of Dwayne Haskins as if that somehow said black

1629
01:29:01,000 --> 01:29:06,439
Speaker 1: people back, or black NFL players back when I don't know,

1630
01:29:06,560 --> 01:29:13,479
Speaker 1: last time about checked Russell Westbrook, Lamar Jackson, Russell Wilson,

1631
01:29:13,560 --> 01:29:21,920
Speaker 1: Lamar Jackson, Patrick Patrick Mahomes, Deshaun Watson, Cam Newton, Teddy Bridgewater,

1632
01:29:22,320 --> 01:29:31,080
Speaker 1: Kyler Murray, Jalen Hurts, Dak Prescott. If if now isn't

1633
01:29:31,080 --> 01:29:34,560
Speaker 1: the time where we can be like a black quarterback,

1634
01:29:34,640 --> 01:29:37,640
Speaker 1: failing out of the league is not a reflection on

1635
01:29:37,720 --> 01:29:42,760
Speaker 1: black people, not a reflection on young players. We have

1636
01:29:42,920 --> 01:29:45,719
Speaker 1: too much black excellence in the league or at least

1637
01:29:45,720 --> 01:29:54,320
Speaker 1: black I don't know, black black whatever like uh aptitude

1638
01:29:54,439 --> 01:29:55,920
Speaker 1: like the like you got black people that are at

1639
01:29:56,000 --> 01:30:01,479
Speaker 1: least passable the starting on teams. At what point are

1640
01:30:01,479 --> 01:30:05,080
Speaker 1: we not beholding to the floor? Is the fucking black

1641
01:30:05,080 --> 01:30:07,680
Speaker 1: hole that is sucking us all down? You had to

1642
01:30:07,720 --> 01:30:10,760
Speaker 1: go back to JaMarcus fucking Russell. JaMarcus Russel ain't been

1643
01:30:10,800 --> 01:30:14,360
Speaker 1: in the league for like fucking fifteen years, man, Like

1644
01:30:14,400 --> 01:30:16,519
Speaker 1: you had to go back to that. You could have like,

1645
01:30:16,600 --> 01:30:20,000
Speaker 1: you could have evoked all of this and not brought

1646
01:30:20,040 --> 01:30:22,360
Speaker 1: anything up to do with black people, and I wouldn't

1647
01:30:22,360 --> 01:30:24,040
Speaker 1: have said a goddamn thing. I'd be like, you know

1648
01:30:24,120 --> 01:30:26,880
Speaker 1: what great point it's when you throw it out there.

1649
01:30:26,880 --> 01:30:28,720
Speaker 1: And I hate to even see Randy Moss agree with

1650
01:30:28,760 --> 01:30:31,760
Speaker 1: that shit. As if Randy Moss wasn't about branding while

1651
01:30:31,800 --> 01:30:34,360
Speaker 1: being in the NFL too, as if every as if

1652
01:30:34,400 --> 01:30:38,320
Speaker 1: Tom Brady's not about branding. All these players are are

1653
01:30:38,360 --> 01:30:42,599
Speaker 1: about branding. But what but even more insulting, what Dwayne

1654
01:30:42,680 --> 01:30:45,960
Speaker 1: Haskins was doing wasn't about branding. He's at the fucking

1655
01:30:45,960 --> 01:30:48,480
Speaker 1: strip club. They ain't got nothing to do with Instagram,

1656
01:30:48,560 --> 01:30:51,040
Speaker 1: got nothing to do with the endorsements, has nothing to

1657
01:30:51,080 --> 01:30:54,640
Speaker 1: do with commercials like this. Nigga was just doing some

1658
01:30:54,800 --> 01:30:58,320
Speaker 1: dumb shit, and it's okay to say he was doing

1659
01:30:58,360 --> 01:31:01,320
Speaker 1: some dumb shit and he probably deserve to get fried

1660
01:31:01,360 --> 01:31:03,720
Speaker 1: and deserve to be out the league and never had

1661
01:31:03,720 --> 01:31:06,960
Speaker 1: to stop and go because something to do with black people,

1662
01:31:07,320 --> 01:31:07,760
Speaker 1: that's all.

1663
01:31:08,160 --> 01:31:10,040
Speaker 3: Yeah, you just had to squeeze that in. And I

1664
01:31:10,080 --> 01:31:11,320
Speaker 3: think that's what kind of made me mad.

1665
01:31:11,360 --> 01:31:13,800
Speaker 4: It's like, oh, you squeezed this in here, like this

1666
01:31:13,840 --> 01:31:16,200
Speaker 4: doesn't apply across the board, because, like you said, there

1667
01:31:16,320 --> 01:31:19,120
Speaker 4: is a way that you could have expressed this, like

1668
01:31:19,200 --> 01:31:21,400
Speaker 4: this young man missed his money up and he could

1669
01:31:21,400 --> 01:31:22,439
Speaker 4: have been smarter and better.

1670
01:31:22,720 --> 01:31:24,760
Speaker 3: But I could say that about a lot of players.

1671
01:31:24,880 --> 01:31:27,800
Speaker 1: But also, you never see them do this rant for

1672
01:31:27,880 --> 01:31:32,120
Speaker 1: white people that flame out the league. No, when Johnny

1673
01:31:32,120 --> 01:31:35,400
Speaker 1: Manziel flamed out of the league, you didn't see anyone

1674
01:31:35,520 --> 01:31:39,080
Speaker 1: stop Monday Night Football to do a two men and

1675
01:31:39,160 --> 01:31:42,160
Speaker 1: rant about how fucking how much he set you know,

1676
01:31:42,280 --> 01:31:45,720
Speaker 1: like this is so embarrassing and it sets back his

1677
01:31:45,840 --> 01:31:50,000
Speaker 1: family and it sets back white people. We never do that,

1678
01:31:50,280 --> 01:31:53,800
Speaker 1: And my thing is dark, We didn't come to your

1679
01:31:53,840 --> 01:31:56,000
Speaker 1: shit for this. If you ain't been speaking on like

1680
01:31:56,040 --> 01:31:58,720
Speaker 1: black lives matter, you've been avoiding the Kaepernick discussion for

1681
01:31:58,760 --> 01:32:02,800
Speaker 1: all this time this too, Like you know, I'm not

1682
01:32:02,840 --> 01:32:04,439
Speaker 1: gonna call the man a coon and all the shit.

1683
01:32:04,479 --> 01:32:06,479
Speaker 1: I've been seeing people say that a lot, you know,

1684
01:32:06,560 --> 01:32:09,400
Speaker 1: on social media. I don't know him like that or

1685
01:32:09,439 --> 01:32:12,960
Speaker 1: his work like that, but I do think that his

1686
01:32:13,120 --> 01:32:17,559
Speaker 1: analysis confuse a lot of good with some bad, and

1687
01:32:17,320 --> 01:32:20,320
Speaker 1: and what's gonna happen is people will defend his comments

1688
01:32:20,360 --> 01:32:22,559
Speaker 1: by going, well if you look at what he was

1689
01:32:22,640 --> 01:32:24,639
Speaker 1: trying to say, And I'm like, bro, you get paid

1690
01:32:24,640 --> 01:32:27,880
Speaker 1: to talk the whole job. This is not me taking

1691
01:32:27,880 --> 01:32:29,799
Speaker 1: you out of context. This is the clip you posted.

1692
01:32:30,680 --> 01:32:33,679
Speaker 1: You wanted me to hear this. You said that race shit,

1693
01:32:33,840 --> 01:32:36,040
Speaker 1: you went, I'm standing by it when you posted it.

1694
01:32:36,479 --> 01:32:39,360
Speaker 1: So anyone trying to talk about this and then just

1695
01:32:39,560 --> 01:32:43,720
Speaker 1: ignoring or excusing that part of it, like you know

1696
01:32:43,960 --> 01:32:47,280
Speaker 1: what you're doing, it's like those people that when h

1697
01:32:47,520 --> 01:32:49,840
Speaker 1: It's like the people that said yesterday, well, when it's

1698
01:32:49,840 --> 01:32:51,720
Speaker 1: in rap lyrics, what do you expect that white girl

1699
01:32:51,720 --> 01:32:54,479
Speaker 1: to do? She gonna say the N word, yes, except

1700
01:32:54,520 --> 01:32:56,160
Speaker 1: she wasn't saying it that way. So you had to

1701
01:32:56,240 --> 01:32:59,280
Speaker 1: change the situation in order to defend it. You had

1702
01:32:59,280 --> 01:33:00,800
Speaker 1: to tell me it was so that I just saw

1703
01:33:00,880 --> 01:33:03,320
Speaker 1: my own two eyes. It wasn't so I think that's

1704
01:33:03,640 --> 01:33:11,120
Speaker 1: I just think he's super whack for this. So, but yeah,

1705
01:33:11,400 --> 01:33:13,799
Speaker 1: it has to be young black players that are holding

1706
01:33:13,880 --> 01:33:16,760
Speaker 1: that are that are beholding of this and hurt by this.

1707
01:33:16,960 --> 01:33:19,599
Speaker 1: Nobody else else laying down the whole race.

1708
01:33:20,080 --> 01:33:22,200
Speaker 4: Young white players get cut every day too.

1709
01:33:22,400 --> 01:33:24,760
Speaker 1: Right, but they okay, it's okay because they white. I

1710
01:33:24,760 --> 01:33:31,599
Speaker 1: guess zero, tie, hundred mm. I get this a fifty fifty. Yeah,

1711
01:33:31,720 --> 01:33:34,160
Speaker 1: I give it like a fifty two. Yeah. It's not

1712
01:33:34,160 --> 01:33:37,920
Speaker 1: not major, but it's just annoying more than anything. It's like, damn,

1713
01:33:37,920 --> 01:33:38,840
Speaker 1: we're still doing this.

1714
01:33:39,280 --> 01:33:41,800
Speaker 3: It's more irritating, especially.

1715
01:33:41,479 --> 01:33:43,760
Speaker 1: When you don't step into no race conversation no other

1716
01:33:43,800 --> 01:33:47,439
Speaker 1: time brouh just gone ahead, yes skip this to then yeah,

1717
01:33:47,640 --> 01:33:48,240
Speaker 1: gone ahead.

1718
01:33:48,320 --> 01:33:48,519
Speaker 4: Man.

1719
01:33:48,760 --> 01:33:50,639
Speaker 1: You can say the same fucking thing about that man

1720
01:33:50,680 --> 01:33:54,960
Speaker 1: and not bring up nothing about black people. Uh fast

1721
01:33:54,960 --> 01:34:01,600
Speaker 1: decline charges against officers and to mere rights case, The

1722
01:34:01,760 --> 01:34:04,360
Speaker 1: Justice Department announced Tuesday and will not bring federal criminal

1723
01:34:04,439 --> 01:34:07,160
Speaker 1: charges against two Cleveland police officers for the twenty fourteen

1724
01:34:07,240 --> 01:34:12,000
Speaker 1: killing of twelve yard ti may Rice so In the

1725
01:34:12,080 --> 01:34:15,680
Speaker 1: video was of too poor quality for prosecutes to conclusively

1726
01:34:15,800 --> 01:34:23,200
Speaker 1: establish what happened. I don't know about y'all know a

1727
01:34:23,200 --> 01:34:25,880
Speaker 1: lot of people avoid these videos. Unfortunately, for me, this

1728
01:34:26,000 --> 01:34:29,040
Speaker 1: was one that I did see, and I did see

1729
01:34:29,040 --> 01:34:31,000
Speaker 1: his sister, and I did see them letting him lie

1730
01:34:31,000 --> 01:34:34,400
Speaker 1: there and not trying to save his life. If I

1731
01:34:34,520 --> 01:34:39,600
Speaker 1: can see that, these motherfuckers can see that. But of

1732
01:34:39,600 --> 01:34:43,800
Speaker 1: course it's Trump's justice department, right and he doesn't care. Yep,

1733
01:34:44,320 --> 01:34:48,559
Speaker 1: So zero two hundred oh discussig hundred cars for me

1734
01:34:48,880 --> 01:34:54,599
Speaker 1: dre cars. Officer who saw it. Warrant at Breonna Taylor's

1735
01:34:54,600 --> 01:34:58,600
Speaker 1: home could be dismissed. Yeah, they're gonna fire two of

1736
01:34:58,680 --> 01:35:02,360
Speaker 1: the officers involved than that, no knock warrant at Breonna

1737
01:35:02,439 --> 01:35:12,280
Speaker 1: Taylor's home. We knew we wouldn't get justice, So this

1738
01:35:12,400 --> 01:35:14,080
Speaker 1: is the best they got. Is they going to fire

1739
01:35:14,120 --> 01:35:16,200
Speaker 1: the people? But if you're firing them, what are you

1740
01:35:16,280 --> 01:35:16,960
Speaker 1: firing them for?

1741
01:35:17,880 --> 01:35:18,160
Speaker 9: Right?

1742
01:35:20,000 --> 01:35:22,639
Speaker 1: A whole woman is dead? What are you firing them for?

1743
01:35:22,720 --> 01:35:22,920
Speaker 6: Then?

1744
01:35:24,400 --> 01:35:27,200
Speaker 1: So they did something fireable and someone lost their life

1745
01:35:27,240 --> 01:35:29,880
Speaker 1: at the same time, but at the same time, they

1746
01:35:29,920 --> 01:35:35,160
Speaker 1: didn't do anything criminal or actionable, and do you defend

1747
01:35:35,200 --> 01:35:39,160
Speaker 1: their actions in court as completely above board? Matter of fact?

1748
01:35:39,520 --> 01:35:42,719
Speaker 1: Made it so that the grand jury couldn't even possibly

1749
01:35:42,720 --> 01:35:46,800
Speaker 1: bring charges. But yet somehow they need to.

1750
01:35:46,720 --> 01:35:49,880
Speaker 4: Be fired, right, They do this a lot like shit

1751
01:35:50,000 --> 01:35:52,559
Speaker 4: happened some time go by, and then they just fire

1752
01:35:52,600 --> 01:35:54,479
Speaker 4: them and they just and then they go to another

1753
01:35:54,560 --> 01:35:57,320
Speaker 4: small department in Militon book to know where to keep working.

1754
01:35:57,720 --> 01:36:00,000
Speaker 1: They really be on some like here you go, niggas

1755
01:36:00,080 --> 01:36:06,000
Speaker 1: hear some justice? Take this Jesus, Like, that's really how.

1756
01:36:07,960 --> 01:36:09,160
Speaker 2: Y'all nigga still the plants?

1757
01:36:10,720 --> 01:36:14,120
Speaker 1: Okay, we fired him, Are you happy? Damn no, No,

1758
01:36:14,200 --> 01:36:17,040
Speaker 1: I'm not what y'all want? Some actual fucking justice up

1759
01:36:17,040 --> 01:36:17,800
Speaker 1: in this bench y'all.

1760
01:36:18,080 --> 01:36:20,839
Speaker 2: Man, Oh god, y'all want everything.

1761
01:36:22,800 --> 01:36:24,360
Speaker 1: I guess we just sposed to sit up here and

1762
01:36:24,479 --> 01:36:28,320
Speaker 1: just do what y'all want, huh. Like that is really

1763
01:36:28,320 --> 01:36:32,360
Speaker 1: how I feel like they treat us like. But at

1764
01:36:32,360 --> 01:36:35,639
Speaker 1: the same time, man, like this is what happens too.

1765
01:36:36,080 --> 01:36:40,160
Speaker 1: And when we're in a situation like this, like we

1766
01:36:40,280 --> 01:36:45,040
Speaker 1: we really at a at a at. Yeah, we're really

1767
01:36:45,080 --> 01:36:47,040
Speaker 1: in a situation where there's really not much we can

1768
01:36:47,160 --> 01:36:51,720
Speaker 1: do because Dale Cameron is not gonna relinquish control. He

1769
01:36:51,720 --> 01:36:56,280
Speaker 1: doesn't give a fuck what we think. Yeah, Like literally,

1770
01:36:58,040 --> 01:37:01,880
Speaker 1: it's it's fuck us when it comes to like and

1771
01:37:01,920 --> 01:37:08,080
Speaker 1: so Yeah, that that's super sad, but not to be unexpected,

1772
01:37:08,240 --> 01:37:10,519
Speaker 1: and probably the closest they will ever get the justice

1773
01:37:10,680 --> 01:37:12,120
Speaker 1: is this moment.

1774
01:37:13,160 --> 01:37:16,280
Speaker 4: Yeah. Yeah, that's why a lot of times, the settlement

1775
01:37:16,320 --> 01:37:18,920
Speaker 4: that they give people's family, I understand why they take

1776
01:37:18,960 --> 01:37:20,840
Speaker 4: them because a lot of times that's the most justice

1777
01:37:20,880 --> 01:37:21,720
Speaker 4: you're going to get.

1778
01:37:22,120 --> 01:37:26,560
Speaker 1: Yeah, I don't ever blame nobody, Like like money, unfortunately,

1779
01:37:26,640 --> 01:37:28,640
Speaker 1: is the closest Black people gonna get the justice in

1780
01:37:28,680 --> 01:37:32,000
Speaker 1: America for a lot of shit, for a lot of shit,

1781
01:37:32,320 --> 01:37:35,920
Speaker 1: slavery reparations, all the shit is gonna be Well, here's

1782
01:37:35,960 --> 01:37:40,759
Speaker 1: some here's some money. Then it's like, okay, what about justice?

1783
01:37:41,800 --> 01:37:44,880
Speaker 1: I mean, can you buy justice for two thousand notes,

1784
01:37:44,920 --> 01:37:48,880
Speaker 1: because that's what we're gonna give you anyway. Your cars

1785
01:37:48,880 --> 01:37:53,080
Speaker 1: are soon for you as well. Yes, all right, let's

1786
01:37:53,120 --> 01:38:08,759
Speaker 1: move into some other stuff. Let me some guests. The race, it's.

1787
01:38:10,960 --> 01:38:14,040
Speaker 7: It's it's.

1788
01:38:16,320 --> 01:38:21,080
Speaker 1: It's that's right, guess the race. The game. We go

1789
01:38:21,120 --> 01:38:24,720
Speaker 1: all around the globe, find different articles that you know,

1790
01:38:25,000 --> 01:38:28,080
Speaker 1: make us feel different ways, and then we score them

1791
01:38:28,120 --> 01:38:31,439
Speaker 1: from zero to a hundred. Wait, that make us feel

1792
01:38:31,479 --> 01:38:33,479
Speaker 1: different ways, But then we guess the race of the

1793
01:38:33,520 --> 01:38:38,640
Speaker 1: people of Oh Jesus christ how resty am I. Of

1794
01:38:38,640 --> 01:38:42,760
Speaker 1: course today's contestants Karen will be guessing the race. Of

1795
01:38:42,760 --> 01:38:45,599
Speaker 1: course in the chat room, we'll be guessing the race.

1796
01:38:45,720 --> 01:38:51,040
Speaker 1: And of course everyone playing is racist. All right up, first,

1797
01:38:53,240 --> 01:39:00,439
Speaker 1: let's see police father arrested for giving a toddlers off

1798
01:39:00,520 --> 01:39:03,280
Speaker 1: ice posting a video to Snapchat.

1799
01:39:03,800 --> 01:39:04,360
Speaker 4: Oh shit.

1800
01:39:05,840 --> 01:39:08,200
Speaker 1: A man was arrested after sharing a smirnoff ice with

1801
01:39:08,280 --> 01:39:12,080
Speaker 1: his two year old daughter, what and posting a video

1802
01:39:12,120 --> 01:39:14,400
Speaker 1: of it on Snapchat. I don't know why that was

1803
01:39:14,439 --> 01:39:16,639
Speaker 1: so shocking when I said toddler in the first sentence,

1804
01:39:16,680 --> 01:39:20,519
Speaker 1: but surecare two year old daughter. The Oklahoma City Police

1805
01:39:20,520 --> 01:39:22,880
Speaker 1: Department said officers was coming into a home.

1806
01:39:23,400 --> 01:39:23,439
Speaker 4: What.

1807
01:39:23,600 --> 01:39:25,840
Speaker 1: A child's mother said she had a video the girl's

1808
01:39:25,840 --> 01:39:28,920
Speaker 1: father's sharing the alcoholic beverage with her. Police said they

1809
01:39:28,960 --> 01:39:31,479
Speaker 1: looked at the video and saw James Watch twenty seven

1810
01:39:31,960 --> 01:39:34,800
Speaker 1: handing a yellow smeirhoff ice to his daughter, who took

1811
01:39:34,800 --> 01:39:37,679
Speaker 1: a sip and then passed it back to him. Oh

1812
01:39:37,720 --> 01:39:40,960
Speaker 1: he thought that was adorable. How many people said hard

1813
01:39:41,000 --> 01:39:44,360
Speaker 1: emojis on that Snapchat? In the video posted on Snapchat,

1814
01:39:44,439 --> 01:39:47,600
Speaker 1: authority said Watch wrote my baby gonna be drunk. She

1815
01:39:47,760 --> 01:39:53,920
Speaker 1: liking it a little too much. There's no amount of

1816
01:39:54,120 --> 01:39:56,960
Speaker 1: liking smelhoff ice a two year old supposed.

1817
01:39:56,560 --> 01:40:01,360
Speaker 4: To do it takes that kool aid to right, Like, there's.

1818
01:40:01,200 --> 01:40:04,280
Speaker 1: No like that's on you. Yes, Like there's not a

1819
01:40:04,280 --> 01:40:07,280
Speaker 1: proper amount of like, Oh my baby tried some of

1820
01:40:07,280 --> 01:40:12,160
Speaker 1: this delicious alcohol lemonade and uh, she was a good girl.

1821
01:40:12,240 --> 01:40:16,000
Speaker 1: She said, on Daddy, that's too much. It's a motherfucking

1822
01:40:16,360 --> 01:40:21,800
Speaker 1: sugary drink. She don't know it's fucking alcohol in there

1823
01:40:21,840 --> 01:40:23,800
Speaker 1: any more than anything else. You just shouldn't be given

1824
01:40:23,880 --> 01:40:27,160
Speaker 1: to her. Right. Watson's taking an Oklahoma County jail where

1825
01:40:27,160 --> 01:40:29,240
Speaker 1: he was booked in charge of child neglect. Karen, guess

1826
01:40:29,240 --> 01:40:38,839
Speaker 1: the race of what his name? James Watts Black. Karen's

1827
01:40:38,880 --> 01:40:43,000
Speaker 1: going with black on the smell off. Let's see the

1828
01:40:43,040 --> 01:40:45,760
Speaker 1: poor kid gonna be on dialysis before kindergarten. That's not

1829
01:40:45,800 --> 01:40:51,400
Speaker 1: a race. Give me some races. Daddy, dittar time white black, black,

1830
01:40:52,880 --> 01:41:01,519
Speaker 1: playboy CARDI black like the fluffy ass lets drink like

1831
01:41:01,520 --> 01:41:05,280
Speaker 1: that fruity ass drink so clear. But he was there

1832
01:41:05,360 --> 01:41:09,080
Speaker 1: with his daughter white great added extra sugar to a

1833
01:41:09,200 --> 01:41:13,479
Speaker 1: black White is his nickname Jody Black. They were trying

1834
01:41:13,520 --> 01:41:16,040
Speaker 1: to ice her out black black ice sipping on some

1835
01:41:16,200 --> 01:41:19,799
Speaker 1: drank Blacks not to Mackenzie will be making a video

1836
01:41:19,880 --> 01:41:24,320
Speaker 1: about his strifling ass. Black black kids should be called

1837
01:41:25,439 --> 01:41:29,639
Speaker 1: would have been better off his dad would have. That's

1838
01:41:29,680 --> 01:41:32,559
Speaker 1: not a race. I guess you're saying white black Russian

1839
01:41:32,880 --> 01:41:35,200
Speaker 1: Betty would have baby would have liked if it was

1840
01:41:35,240 --> 01:41:39,479
Speaker 1: Hennessy bookman falla type black, a black shitty ass beer

1841
01:41:39,520 --> 01:41:40,240
Speaker 1: white the crat.

1842
01:41:55,080 --> 01:42:00,599
Speaker 4: You said butt light, you know, niddle light out of white.

1843
01:42:01,920 --> 01:42:04,000
Speaker 4: Of course you said one of them spritzer drinks that

1844
01:42:04,040 --> 01:42:05,519
Speaker 4: people like to drink it, but not white.

1845
01:42:05,840 --> 01:42:23,240
Speaker 1: Some people got it wrong, right. Babies having babies, My goodness,

1846
01:42:25,120 --> 01:42:27,400
Speaker 1: she gonna be drunk. She gonna be a little drunk.

1847
01:42:27,520 --> 01:42:30,280
Speaker 4: She grow up, and look at all that smid off.

1848
01:42:30,520 --> 01:42:35,679
Speaker 1: Sir, what are you gonna be in jail? You can't

1849
01:42:35,760 --> 01:42:39,000
Speaker 1: raise this baby like this Because this is terrible. I

1850
01:42:39,200 --> 01:42:41,160
Speaker 1: thought it would be funny. Men shoot each other with

1851
01:42:41,240 --> 01:42:46,040
Speaker 1: rubber bullets. Clovis man accidentally killed with buckshot around oh

1852
01:42:46,640 --> 01:42:49,800
Speaker 1: wash this and today's watch this award. A twenty three

1853
01:42:49,840 --> 01:42:52,320
Speaker 1: year old man from Clovis was shot and killed out

1854
01:42:52,320 --> 01:42:55,639
Speaker 1: there bazaar shooting on in toe House Sunday, Fresno County

1855
01:42:55,640 --> 01:42:58,200
Speaker 1: Shares Apartment said shortly before ten thirty pm that they

1856
01:42:58,280 --> 01:43:00,880
Speaker 1: received a call regarding the per and being shot and

1857
01:43:00,960 --> 01:43:05,759
Speaker 1: seriously injured. When Debute's arrived, they performed CPR with EMS. However,

1858
01:43:06,000 --> 01:43:08,400
Speaker 1: the twenty three year old identified as Bradley Smith died

1859
01:43:08,439 --> 01:43:09,320
Speaker 1: a short time later.

1860
01:43:09,800 --> 01:43:11,960
Speaker 2: Homicide detectors interview two men at the home.

1861
01:43:12,000 --> 01:43:14,880
Speaker 1: Thirty year old Elvis Hernandez and the second unidentified man,

1862
01:43:14,920 --> 01:43:18,320
Speaker 1: fully cooperated during the investigation and gave the same account

1863
01:43:18,320 --> 01:43:20,360
Speaker 1: of what took place. According to detective detect said, the

1864
01:43:20,400 --> 01:43:22,760
Speaker 1: three men, who are friends, were hanging out at a

1865
01:43:22,800 --> 01:43:27,599
Speaker 1: house drinking alcohol. They later started hand handling firearms because

1866
01:43:27,640 --> 01:43:30,960
Speaker 1: you know, alcohols and guns go together.

1867
01:43:31,600 --> 01:43:34,720
Speaker 4: Right, That's why a lot of bars bands and them

1868
01:43:34,760 --> 01:43:37,360
Speaker 4: shits that like you can't be in here drinking with guns,

1869
01:43:37,360 --> 01:43:40,040
Speaker 4: and some places that are like, sure, bring the guns

1870
01:43:40,040 --> 01:43:41,519
Speaker 4: on in here with fox is drunk.

1871
01:43:41,600 --> 01:43:43,759
Speaker 1: Well, my thing is, if they weren't supposed to go together,

1872
01:43:43,800 --> 01:43:47,719
Speaker 1: then why do we have an ATF care alcohol tobacco

1873
01:43:47,760 --> 01:43:51,000
Speaker 1: on firearms? Even the government hang out with them three together.

1874
01:43:53,720 --> 01:43:58,479
Speaker 1: But yeah, they started handling the firearms that are relative

1875
01:43:58,479 --> 01:44:02,400
Speaker 1: was storing at the home. Unidentified man eventually went to bed,

1876
01:44:02,439 --> 01:44:05,960
Speaker 1: and investigators say Elvis and Bradley discovered some rubber bullets

1877
01:44:05,960 --> 01:44:10,320
Speaker 1: and thought it would be funny to use a shotgun

1878
01:44:10,360 --> 01:44:15,160
Speaker 1: to shoot the unidentified man while he was sleeping. What

1879
01:44:16,560 --> 01:44:22,200
Speaker 1: while he was sleeping, because you know, that's always a smart.

1880
01:44:21,920 --> 01:44:27,439
Speaker 4: Idea, So you can scare somebody awake and alert, scare

1881
01:44:27,520 --> 01:44:28,640
Speaker 4: him half to death.

1882
01:44:28,560 --> 01:44:34,280
Speaker 1: Shoot them while they were sleeping, shoot them. So they

1883
01:44:34,360 --> 01:44:36,439
Speaker 1: threw a mattress on top of the undidentified man and

1884
01:44:36,479 --> 01:44:40,120
Speaker 1: shot the mattress. This startled the unidentified man cause him

1885
01:44:40,120 --> 01:44:43,240
Speaker 1: to wake ups, they say, though he was not seriously injured.

1886
01:44:43,760 --> 01:44:46,640
Speaker 1: So the Tatlers say Bradley agreed that his payback, the

1887
01:44:46,720 --> 01:44:50,080
Speaker 1: unidentified man can shoot him. Bradley put on a military

1888
01:44:50,080 --> 01:44:53,439
Speaker 1: style helmet and protect the vest. The unidentified man pointed

1889
01:44:53,400 --> 01:44:57,920
Speaker 1: a shotgun fired a rubber bullet at Elvis, striking him Bradley.

1890
01:44:58,000 --> 01:45:01,160
Speaker 1: Keep in mind, rubber bullets are not ubber, they're like

1891
01:45:01,280 --> 01:45:05,720
Speaker 1: bullets coated and rubber. Shit's hurt Bradley. Bradley didn't tell

1892
01:45:05,800 --> 01:45:08,720
Speaker 1: Elvis he could shoot him as well. Elvis picked up

1893
01:45:08,720 --> 01:45:12,120
Speaker 1: a different shotgun than the man used and fired it

1894
01:45:12,160 --> 01:45:14,599
Speaker 1: at Bradley, hitting him in the upper body. They say

1895
01:45:14,640 --> 01:45:17,040
Speaker 1: they quickly realized he was bleeding and seriously hurt. They

1896
01:45:17,080 --> 01:45:20,240
Speaker 1: died nine one one. Detectives discovered Bradley had not been

1897
01:45:20,240 --> 01:45:22,639
Speaker 1: struck by a rubber bullet, but around a buck shot.

1898
01:45:22,920 --> 01:45:25,320
Speaker 1: It appears to be mistakenly loaded this type of lethal

1899
01:45:25,320 --> 01:45:28,519
Speaker 1: shell into the shotgun. Debuties have arrested thirty year old

1900
01:45:28,520 --> 01:45:31,519
Speaker 1: Elvis Hernandez a Really for shooting and killing Smith. Hernanda

1901
01:45:31,600 --> 01:45:33,400
Speaker 1: has been booked in the Fresno County Jail. He is

1902
01:45:33,439 --> 01:45:36,200
Speaker 1: facing charge of involuntary manslaughter set bell set to ten

1903
01:45:36,200 --> 01:45:36,840
Speaker 1: thousand dollars.

1904
01:45:37,160 --> 01:45:39,960
Speaker 3: Care guess the race, jackass white.

1905
01:45:40,960 --> 01:45:42,759
Speaker 1: To check the chat real, see what they believe?

1906
01:45:44,560 --> 01:45:47,080
Speaker 2: They all bored because they don't have real problems.

1907
01:45:47,080 --> 01:45:50,960
Speaker 1: White. All right, I'll let the rest of you. What

1908
01:45:51,080 --> 01:45:54,400
Speaker 1: about your friends? Will they standing there the ground? Will

1909
01:45:54,439 --> 01:45:55,599
Speaker 1: they shoot you down?

1910
01:45:55,920 --> 01:45:56,599
Speaker 3: Dead dead?

1911
01:45:56,760 --> 01:46:01,599
Speaker 1: White? That's a good one, Joe worthy of six part

1912
01:46:01,640 --> 01:46:06,000
Speaker 1: Netflix documentary series on gun rights and America. White just

1913
01:46:06,280 --> 01:46:09,479
Speaker 1: some good old boys, never meaning no harm. White, white

1914
01:46:09,560 --> 01:46:13,439
Speaker 1: passing Cuban white my look at my ass? White, Look

1915
01:46:13,479 --> 01:46:17,639
Speaker 1: at my ass? Johnny aplec White white nonsense, as white

1916
01:46:17,640 --> 01:46:21,519
Speaker 1: as frosted cheerios a cold milk white jackass el choppo

1917
01:46:22,720 --> 01:46:26,080
Speaker 1: cool with white jabbing them white, white on white crime,

1918
01:46:26,200 --> 01:46:29,640
Speaker 1: ridiculousness white. The correct answer is white.

1919
01:46:40,600 --> 01:46:43,160
Speaker 4: Yeah, because niggas don't be playing them games. White people

1920
01:46:43,200 --> 01:46:44,960
Speaker 4: like to play them games. When somebody junk on a

1921
01:46:45,040 --> 01:46:47,280
Speaker 4: draw on their face and buck with them and shit

1922
01:46:47,439 --> 01:46:49,800
Speaker 4: like that, you don't get fucked up. You do that

1923
01:46:49,840 --> 01:46:51,880
Speaker 4: to a black person, whit, they'll wake up and fuck

1924
01:46:52,000 --> 01:46:52,680
Speaker 4: everybody up.

1925
01:46:52,720 --> 01:46:55,200
Speaker 1: You can't even follow asleep around white people that when

1926
01:46:55,360 --> 01:46:57,240
Speaker 1: they drawn, No.

1927
01:46:56,800 --> 01:46:59,559
Speaker 4: Don't play the time to go home because you I

1928
01:46:59,640 --> 01:47:01,559
Speaker 4: wake up up and you don't decide to draw a

1929
01:47:01,600 --> 01:47:03,960
Speaker 4: dick on my face, I'm whooping your ass.

1930
01:47:04,040 --> 01:47:07,240
Speaker 1: Y'allways, died a perfectly good mattress shooting him in the

1931
01:47:07,240 --> 01:47:10,840
Speaker 1: first place. He was sleep minding his business because he trusted, y'all.

1932
01:47:11,120 --> 01:47:15,000
Speaker 1: And you shot through a perfectly good fucking mattress as

1933
01:47:15,000 --> 01:47:15,439
Speaker 1: a joke.

1934
01:47:16,200 --> 01:47:20,000
Speaker 4: Ha ha. You waking me up out of my goddamn sleep

1935
01:47:20,120 --> 01:47:22,519
Speaker 4: as a goddamn joke because it's funny. Ha ha.

1936
01:47:23,840 --> 01:47:28,400
Speaker 1: Yeah, if you guess anything other than white, I mean,

1937
01:47:28,439 --> 01:47:31,240
Speaker 1: he do look a little bit brown. So I'm gonna

1938
01:47:31,240 --> 01:47:32,960
Speaker 1: give you a break this time. I'm not even gonna

1939
01:47:32,960 --> 01:47:35,559
Speaker 1: play the blue on you. Okay, I'm gonna give you

1940
01:47:35,600 --> 01:47:39,320
Speaker 1: credit to because he definitely is white passing, but he

1941
01:47:39,360 --> 01:47:41,840
Speaker 1: got some brown in him too. All right, let's go

1942
01:47:41,920 --> 01:47:46,479
Speaker 1: to the bonus round of guess the race where we're

1943
01:47:46,520 --> 01:47:54,759
Speaker 1: at here, there we go, it's.

1944
01:47:57,040 --> 01:48:04,280
Speaker 7: It's.

1945
01:48:05,120 --> 01:48:09,599
Speaker 1: Thirty year old Shakira Bowie was charged with two counts

1946
01:48:09,600 --> 01:48:12,120
Speaker 1: of aggravated assaut after two women say she pointed a

1947
01:48:12,240 --> 01:48:15,000
Speaker 1: gun at them while in the Crystal drive through. One yelled,

1948
01:48:15,320 --> 01:48:17,240
Speaker 1: y'all better stop playing with my sister.

1949
01:48:18,280 --> 01:48:22,760
Speaker 4: Oh shit, not the crystal existed.

1950
01:48:22,960 --> 01:48:24,320
Speaker 1: We was in the drive through the other day at

1951
01:48:24,320 --> 01:48:27,719
Speaker 1: boat Jangles and we pulled up right behind a person

1952
01:48:27,720 --> 01:48:30,640
Speaker 1: that had pulled a knife on us. That pulled a

1953
01:48:30,720 --> 01:48:33,759
Speaker 1: knife on the window operator, and she was so shaken.

1954
01:48:33,880 --> 01:48:37,080
Speaker 1: She gave us free bow Jangles, trying to give us money,

1955
01:48:37,120 --> 01:48:39,320
Speaker 1: tried to give us our change back even though we

1956
01:48:39,360 --> 01:48:39,960
Speaker 1: hadn't paid her.

1957
01:48:40,000 --> 01:48:41,240
Speaker 2: She was like, here, take your cash.

1958
01:48:41,280 --> 01:48:43,559
Speaker 1: She was like, we didn't do that. Okay, We'll hear

1959
01:48:43,600 --> 01:48:45,840
Speaker 1: your food and we was like, this is a two piece,

1960
01:48:46,280 --> 01:48:49,559
Speaker 1: and then she was just like, okay, well keep that.

1961
01:48:49,600 --> 01:48:51,840
Speaker 1: I'm gonna give y'all food. I'm sorry, y'all, said ma'am

1962
01:48:52,080 --> 01:48:55,960
Speaker 1: don't be sorry because I worked in fast food with

1963
01:48:56,080 --> 01:48:58,960
Speaker 1: someone poured a fucking knife on me before, and that

1964
01:48:59,000 --> 01:48:59,960
Speaker 1: ship is so nerve un.

1965
01:49:01,200 --> 01:49:03,320
Speaker 4: It's bad enough. You gotta work in the rona and

1966
01:49:03,360 --> 01:49:04,519
Speaker 4: then people act.

1967
01:49:04,360 --> 01:49:07,680
Speaker 1: The full right, I said, ma'am, don't even worry about it.

1968
01:49:08,439 --> 01:49:11,400
Speaker 1: On December fifth, Memphis Police officer Williams and Sharp responded

1969
01:49:11,439 --> 01:49:15,240
Speaker 1: to an asalt called at Crystal Well West Winchester Road.

1970
01:49:15,280 --> 01:49:18,599
Speaker 1: Upon arrival, Dereka and Evelyn Pride advised they got into

1971
01:49:18,640 --> 01:49:21,479
Speaker 1: an argument with Shakira Buie when she pointed a silver

1972
01:49:21,520 --> 01:49:24,240
Speaker 1: and black firearm at them. You know it's even while

1973
01:49:24,280 --> 01:49:26,519
Speaker 1: to here, it sounded like it was two sisters that worked.

1974
01:49:26,560 --> 01:49:29,439
Speaker 1: I mean, not black women, but sisters working at.

1975
01:49:29,320 --> 01:49:35,040
Speaker 2: The fucking at this Crystals, they reported.

1976
01:49:35,040 --> 01:49:37,880
Speaker 1: Shakira yelled, y'all better stop playing with my sister through

1977
01:49:37,920 --> 01:49:42,040
Speaker 1: the drive through window. People detained Shakira in there the restaurant,

1978
01:49:42,040 --> 01:49:44,120
Speaker 1: but did not find the weapon. Officers were informed the

1979
01:49:44,160 --> 01:49:48,240
Speaker 1: weapon was placed inside the black Ford five hundred vehicle

1980
01:49:48,400 --> 01:49:51,559
Speaker 1: by Diamond Buie and it was foundering the search of

1981
01:49:51,600 --> 01:49:52,120
Speaker 1: the vehicle.

1982
01:49:53,080 --> 01:49:54,760
Speaker 2: So I guess that must be the sister she was

1983
01:49:54,800 --> 01:49:55,360
Speaker 2: saying not to.

1984
01:49:55,280 --> 01:49:58,120
Speaker 1: Play with Shakira Bui was arrested and charged of two

1985
01:49:58,160 --> 01:50:02,000
Speaker 1: kinds of aggravated assaw. She was later released on recognizance. Karen,

1986
01:50:02,040 --> 01:50:04,400
Speaker 1: guess the race, Oh.

1987
01:50:04,280 --> 01:50:08,240
Speaker 4: Black, don't fuck with my sister to drive through at

1988
01:50:08,240 --> 01:50:09,000
Speaker 4: the crystals.

1989
01:50:09,600 --> 01:50:12,679
Speaker 1: At the crystals, I guess she had a little beef.

1990
01:50:14,920 --> 01:50:17,280
Speaker 1: All right, let's see what the chat room believes at

1991
01:50:17,280 --> 01:50:17,839
Speaker 1: the crystals.

1992
01:50:17,840 --> 01:50:20,360
Speaker 4: You're gonna see the shining of that gun at the crystals.

1993
01:50:22,280 --> 01:50:28,280
Speaker 1: They those are black people, Uh, y'all, she pronounced, she

1994
01:50:28,439 --> 01:50:32,719
Speaker 1: pronounced it, playing with black. Leave her fucking sister alone.

1995
01:50:32,800 --> 01:50:36,400
Speaker 1: Damn it. Using what they got to get what they want? Black,

1996
01:50:36,520 --> 01:50:40,280
Speaker 1: black of they black black, but black eyes on the prize,

1997
01:50:40,360 --> 01:50:44,920
Speaker 1: bilizzak just knifing around black. They screamed, who run it? Black?

1998
01:50:45,200 --> 01:50:47,599
Speaker 1: Let me get cheese and no onions on that black.

1999
01:50:47,920 --> 01:50:52,400
Speaker 1: The girls sister be tripping. Uh that's not race. Uh.

2000
01:50:52,640 --> 01:50:55,679
Speaker 1: They had different daddies, But she's still protective her baby sister.

2001
01:50:55,880 --> 01:51:00,639
Speaker 1: Black black, black man. I'm the I'm the only one

2002
01:51:00,680 --> 01:51:02,719
Speaker 1: that fucks with my I'm the only one that fucks

2003
01:51:02,720 --> 01:51:07,120
Speaker 1: with my sister. Black ghetto twins. Black, I'm from the motherland. Black.

2004
01:51:07,160 --> 01:51:12,160
Speaker 1: The correct answer was they got a spikee for they drink,

2005
01:51:22,400 --> 01:51:25,320
Speaker 1: they got the sprite. They were definitely black. I mean,

2006
01:51:25,439 --> 01:51:28,640
Speaker 1: come on, crystals, K.

2007
01:51:28,880 --> 01:51:31,599
Speaker 4: Last time I've been to Crystals went in Fatville. We've

2008
01:51:31,600 --> 01:51:33,479
Speaker 4: been there, Crystal in forever.

2009
01:51:33,760 --> 01:51:36,559
Speaker 1: No, they had crystals in Charlotte. I've never been there Crystals,

2010
01:51:36,560 --> 01:51:39,439
Speaker 1: I don't think, or if I have, I didn't find it.

2011
01:51:39,520 --> 01:51:41,160
Speaker 1: I think I went a couple of times. I never

2012
01:51:41,200 --> 01:51:43,280
Speaker 1: found the experience to be that good. I don't get

2013
01:51:43,280 --> 01:51:46,320
Speaker 1: what is the big deal about it. People are like, ooh,

2014
01:51:46,360 --> 01:51:49,800
Speaker 1: little burgers. I'm like, I prefer a big burger and

2015
01:51:49,840 --> 01:51:52,640
Speaker 1: if I want small portions, I take a bite of

2016
01:51:52,720 --> 01:51:53,200
Speaker 1: the burger.

2017
01:51:53,720 --> 01:51:57,280
Speaker 4: Yeah, Crystals is like the other place to sell them

2018
01:51:57,280 --> 01:51:59,719
Speaker 4: tiny burgers, White Castle.

2019
01:51:59,800 --> 01:52:02,960
Speaker 1: Yeah yeah, Like, don't they serve the little burgers. You

2020
01:52:02,960 --> 01:52:05,960
Speaker 1: gotta order something special to get the uh, the regular

2021
01:52:06,000 --> 01:52:08,320
Speaker 1: sized burger like I don't like. I don't like tricks.

2022
01:52:08,920 --> 01:52:11,720
Speaker 4: I don't like then I bite fast snacks like I

2023
01:52:11,720 --> 01:52:13,559
Speaker 4: gotta fucking I gotta.

2024
01:52:13,760 --> 01:52:15,439
Speaker 1: I gotta figure the menu out so I can get

2025
01:52:15,439 --> 01:52:17,599
Speaker 1: a fucking just like a quarter pounder or some shit

2026
01:52:18,439 --> 01:52:20,320
Speaker 1: like no, no, no, no, So let me get a

2027
01:52:20,360 --> 01:52:22,920
Speaker 1: crystal burger. Okay, that's four mini burgers, Like, wait, what

2028
01:52:23,040 --> 01:52:27,639
Speaker 1: is happening? Like, give me just a burger? What is happening?

2029
01:52:28,200 --> 01:52:30,840
Speaker 1: So you want one burger? Yes, okay, well that's a quarter.

2030
01:52:30,920 --> 01:52:32,080
Speaker 1: Why is it only a quarter?

2031
01:52:34,560 --> 01:52:35,400
Speaker 4: I'm confused.

2032
01:52:35,400 --> 01:52:37,800
Speaker 1: Now I don't want a shot of burger. I want

2033
01:52:37,840 --> 01:52:43,080
Speaker 1: to fucking I want a burger, all right? Soar ratching

2034
01:52:43,160 --> 01:53:08,599
Speaker 1: this time. A forty five year old North Catchasaqua man

2035
01:53:08,720 --> 01:53:10,960
Speaker 1: is charged with using a machete to assault a thirty

2036
01:53:11,000 --> 01:53:13,519
Speaker 1: eight year old man during the dispute Sunday night. During

2037
01:53:13,520 --> 01:53:17,800
Speaker 1: the street fight, officers of dispatch at nine forty four

2038
01:53:17,840 --> 01:53:22,200
Speaker 1: pm to the report of a fight that involved several people.

2039
01:53:22,439 --> 01:53:24,599
Speaker 1: A witness flag down. Officers had showed them a video

2040
01:53:24,640 --> 01:53:28,040
Speaker 1: of the violent altercation. The victims of the real laceration

2041
01:53:28,080 --> 01:53:30,320
Speaker 1: to the left armor was flown to the area hospital.

2042
01:53:30,920 --> 01:53:35,439
Speaker 1: Ramon Alberto Sanchez Rosa was still carrying the weapon as

2043
01:53:35,439 --> 01:53:38,160
Speaker 1: he went into his home. Police said he was arrested

2044
01:53:38,160 --> 01:53:40,639
Speaker 1: after a search warrant was served. After being read his rights,

2045
01:53:40,640 --> 01:53:43,719
Speaker 1: he admitted to assault a victim. He was arraigned early

2046
01:53:43,760 --> 01:53:48,160
Speaker 1: Monday afternoon before District Judge Robert Hawke on two counts

2047
01:53:48,160 --> 01:53:51,719
Speaker 1: evaggravated assaw one count each recklessly endangering another person, possession

2048
01:53:51,760 --> 01:53:54,800
Speaker 1: of an instrument of crime, and simple assault. Record show

2049
01:53:54,880 --> 01:53:56,759
Speaker 1: he was held in a little of five hundred thousand

2050
01:53:56,800 --> 01:53:59,760
Speaker 1: dollars bell Penning at preliminary hearing in Hawk's Court and

2051
01:53:59,840 --> 01:54:02,960
Speaker 1: Lee High Township Court. Papers did not list an attorney.

2052
01:54:04,880 --> 01:54:07,200
Speaker 1: At least they solved the case, right, That's all we

2053
01:54:07,240 --> 01:54:09,760
Speaker 1: care about. All Right, y'all, is it for tonight. We'll

2054
01:54:09,760 --> 01:54:14,280
Speaker 1: be back tomorrow to wrap up the week. Sir, Thank

2055
01:54:14,320 --> 01:54:17,719
Speaker 1: you so much for hanging out with us. Until next time,

2056
01:54:17,880 --> 01:54:18,719
Speaker 1: I love you.