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Speaker 1: President Trump talks TikTok. Is there a deal in the

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Speaker 1: work to get the biggest social media platform sold? The

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Speaker 1: BLM sidewalk or BLM plaza in Washington, DC is coming down.

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Speaker 1: Find out how much that stupid thing costs the taxpayers. Also,

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Speaker 1: are people going to homeschool more than they have been

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Speaker 1: in the past whilst numbers are climbing and the well,

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Speaker 1: I wonder why that is? All that and more coming

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Speaker 1: up on this episode of Turning Point Tonight. My name

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Speaker 1: is Jobobin. Together we are charting the course of America's

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Speaker 1: cultural comeback. Thanks so much for tuning in. This is

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Speaker 1: Turning Point Tonight. Just a reminder, you can all email

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Speaker 1: the show. We had an email open last week and

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Speaker 1: it was fantastic reading from a number of you. So

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Speaker 1: tpt at TPUSA dot com if you have any thoughts,

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Speaker 1: comments or criticisms. If they're abhorrent and bigoted and terrible,

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Speaker 1: there's a likelihood that we'll read them on this show.

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Speaker 1: So do TBT at TPUSA dot com. What we have

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Speaker 1: to talk about today, I think is fascinating. We have

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Speaker 1: Alex Clark who's going to be joining us in just

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Speaker 1: a quick second. But I want to set this up

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Speaker 1: a lot of people, especially watching this show. I don't

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Speaker 1: think watched the show that we're going to talk about.

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Speaker 1: But here's why I think it's important. There's a show

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Speaker 1: called White Lotus on HBO or Max or whatever the

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Speaker 1: heck they call their streaming service nowadays that is massively popular.

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Speaker 1: It's not so much in the conservative world, which is

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Speaker 1: why I think we need to talk about it, but

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Speaker 1: it has a huge impact on society as a whole.

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Speaker 1: The other week, last week, specifically, there was an episode

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Speaker 1: of White Lotus in which one of the characters came

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Speaker 1: out as a Trump supporter. Oh no, I thought it

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Speaker 1: was fascinating watching it, and I'm sure Alex has some

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Speaker 1: commentary and some insight on that as well. So without

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Speaker 1: further doo, let's bring in Alex Clark, host of Turning Points,

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Speaker 1: Cultural Apothetic, Culture Culture Apothecary. Alex, I don't know why

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Speaker 1: I keep wanting to say culture role, but Culture Apothecary

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Speaker 1: podcast one of the biggest, fastest growing podcasts on the

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Speaker 1: Internet streams at the moment. Alex, thanks for joining us, Thank.

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Speaker 2: You for having me. I love White Lotus, so any

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Speaker 2: excuse to talk about it is good with me exactly.

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Speaker 1: Yeah, So let's do this. Let's play this clip. We'll

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Speaker 1: watch it. It's rather long, it's ninety seconds, and we

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Speaker 1: will discuss the moment when one of the main characters

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Speaker 1: comes out as a well kind of as a as

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Speaker 1: a Trump supporter. Watched this, and we'll discuss.

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Speaker 3: I get a lot out of going to church.

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Speaker 2: I just I love the people.

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Speaker 3: It's very moving. I didn't know.

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Speaker 4: You went to church.

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Speaker 2: Oh yeah, we go every Sunday.

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Speaker 3: Yeah, ever since we moved to Austin. Is it like

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Speaker 3: a real text and church, like the Bible? Fumbers?

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Speaker 4: And well?

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Speaker 3: The people are you know, more conservative than like LA

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Speaker 3: people or like New York?

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Speaker 2: Is that weird for you?

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Speaker 1: Why would it be weird?

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Speaker 3: I don't know.

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Speaker 2: If I was just around a bunch of Texans who

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Speaker 2: voted for Trump, I guess.

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Speaker 3: I just feel a little alienated. They're nice people, really

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Speaker 3: good families.

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Speaker 4: Cool, But you ever talk politics about them sometimes.

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Speaker 3: I'm gonna get awkward.

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Speaker 5: Why would it?

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Speaker 6: Because wait, are you a Republican?

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Speaker 3: No, I'm an independent?

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Speaker 7: But Davis.

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Speaker 3: An independent?

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Speaker 2: Hm?

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Speaker 3: Since when you didn't vote for Trump?

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Speaker 4: Though?

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Speaker 1: Did you?

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Speaker 3: Are we really going to talk about Trump tonight?

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Speaker 8: Real? Good?

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Speaker 1: Yeah? I thought it was a fascinating change. Alice. I'll

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Speaker 1: let you you go off on any thoughts you have,

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Speaker 1: and then I got a couple questions for you.

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Speaker 3: Yeah.

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Speaker 2: So the whole premise of this show is like, you're

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Speaker 2: going to a really wealthy resort and you have this

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Speaker 2: spotlight into all these different families or groups on vacation,

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Speaker 2: and just like the problems that are within these different

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Speaker 2: groups and how they play out over the course of

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Speaker 2: their vacation. So every season kind of focuses on new characters.

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Speaker 2: This group of three friends who have been friends since

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Speaker 2: like high school or college or something and haven't really

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Speaker 2: spent much time together as adults is a really interesting

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Speaker 2: one because there are all these adult women who kind

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Speaker 2: of are re getting to know each other, and there's

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Speaker 2: a lot of gossiping about each other behind their backs,

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Speaker 2: and obviously they don't know that their one friend may

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Speaker 2: have voted for Trump in the last election. And I

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Speaker 2: think it's really resonating with people all over because gosh,

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Speaker 2: haven't we all been in a situation like this? Now?

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Speaker 2: What's funny is that there's some relief when they're like, well,

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Speaker 2: you and you you're not a Republican, are you? Vote, well,

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Speaker 2: I'm an independent. You know. They're like, oh, it has

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Speaker 2: even worse to them because it's like, oh, you can't

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Speaker 2: choose just to side. But I think it's interesting because

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Speaker 2: you see the Democrat women there, they're conflicted because it's like,

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Speaker 2: wait a minute, we know this girl, we love this girl,

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Speaker 2: we know that she's a good person, and yet she

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Speaker 2: was able to potentially vote for Trump. Like what does

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Speaker 2: that say about all Trump supporters?

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Speaker 1: Right?

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Speaker 2: And I think that's this like weird turn of events

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Speaker 2: that happens with a lot of people when you find

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Speaker 2: out that your close friends or family vote for Trump,

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Speaker 2: you know, God forbid. Then it's like, oh, well, maybe

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Speaker 2: what I know or have been told about Trump supporters

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Speaker 2: is it necessarily true?

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Speaker 1: Yeah? You know what also is interesting, Well, first things first,

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Speaker 1: on the independent thing, I think we all know what

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Speaker 1: that means. When someone says I'm an independent, They're they're

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Speaker 1: a conservative. They're just not exactly ready to share that

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Speaker 1: in the open. So that's fine. Uh, this is what

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Speaker 1: I thought was fascinating and not to dig too far

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Speaker 1: into this this show, but the two other girlfriends, one

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Speaker 1: is divorced and kind of struggling living in New York,

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Speaker 1: the other ones lives in la and is an actress

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Speaker 1: and married some guy who's twenty years younger than her.

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Speaker 1: Interestingly enough, you know, we don't know a ton about

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Speaker 1: the characters, but the character that is the Trump supporter

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Speaker 1: is married with kids and seems to have their lives

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Speaker 1: kind of together already. Would do you think that that's

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Speaker 1: going to kind of stay consistent over the next course

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Speaker 1: of the next couple episodes?

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Speaker 2: Oh my gosh, Well, this is obviously this was like

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Speaker 2: a huge bomb to drop in this friend group. So

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Speaker 2: I'm very excited to see now what is going to happen,

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Speaker 2: because it isn't only those two ganging up on the

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Speaker 2: Trump Supporter. All of them have been talking about each

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Speaker 2: other behind each other's backs, so it's like, we don't

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Speaker 2: know where the true alliance is actually lie. But if

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Speaker 2: you've never watched White Lotus, I mean, it's such a

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Speaker 2: fun show because you just kind of get to be

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Speaker 2: a fly on the wall for people's secret problems and they,

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Speaker 2: you know, on the outside, look like they have it

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Speaker 2: all together, but they're really falling apart. And that's what

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Speaker 2: makes this show so good and why it's won so

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Speaker 2: many awards.

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Speaker 1: So just so people know how big of a deal

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Speaker 1: the show is. Nine point three million people on average

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Speaker 1: watched every episode in season one. That jump to fifteen

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Speaker 1: point five million for season two on average per episode.

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Speaker 1: You don't get more than a couple million on any

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Speaker 1: real given TV show ever anymore, So fifteen point five

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Speaker 1: million is a huge number. Zoom out app passed the

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Speaker 1: show a little bit. And I'm curious your take, because

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Speaker 1: you've been in this cultural world for a really long time.

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Speaker 1: What that clip said to me was kind of a

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Speaker 1: statistical evidence of well, conservatives generally have way more liberal

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Speaker 1: friends than liberals have conservative friends. You kind of being

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Speaker 1: in the artsy world, in the cultural world, can you

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Speaker 1: kind of talk about your experience kind of in that vein.

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Speaker 1: I'm sure you've got lefty friends, but I'm curious, do

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Speaker 1: you think your lefty friends have conservative friends outside of you?

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Speaker 3: No, No, they definitely don't.

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Speaker 2: And whats like so in that clip alone, Joe, that

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Speaker 2: woman who is the Trump supporter, she knew obviously going

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Speaker 2: into it that her friends were Democrats. She had no

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Speaker 2: problem with it. They are the ones who brought this

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Speaker 2: up and were like confused, like, oh, you go to church.

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Speaker 2: Wait a minute, you didn't vote for Trump, did you?

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Speaker 2: And then they were all like super you know, concerned

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Speaker 2: about it, and she was like, oh yeah, like we're

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Speaker 2: just having a dinner, like no big deal, you know.

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Speaker 2: To her, it didn't matter that they had different views,

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Speaker 2: but you can see how to the liberal friends it

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Speaker 2: greatly mattered.

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Speaker 3: But yeah, I would.

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Speaker 2: Say, you know, what's interesting is that before the MAHA movement,

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Speaker 2: the Make America Healthy Again movement, which I'm a part of,

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Speaker 2: all of my friends that would be more liberal kind

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Speaker 2: of dropped me. And then a lot of them started

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Speaker 2: to kind of flock back in this last election because

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Speaker 2: so many people like her voted independent or something or

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Speaker 2: ended up voting for Trump based on the MAHA topic.

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Speaker 2: And so now they're kind of like all in on

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Speaker 2: my show and what I talk about on a day

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Speaker 2: to day basis, and they're like, well, you know, I

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Speaker 2: don't know that I agree with Alex on everything, but

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Speaker 2: I definitely agree with her on the health stuff. So

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Speaker 2: they're all coming back around. It's so interesting how different

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Speaker 2: already Trump admin this time around is compared to before

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Speaker 2: the Trump presidency. This time around compared to before, it's like,

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Speaker 2: I mean, what seventy something percent of the country voted

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Speaker 2: for Trump. So statistically, yeah, any big group dinner with

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Speaker 2: friends or family, you're gonna have a lot of Trump

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Speaker 2: supporters there, whether they're admitting it to you or not.

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Speaker 2: And likely a lot of them are probably pretending like

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Speaker 2: they didn't and they totally did, because otherwise, I don't know,

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Speaker 2: you couldn't explain the numbers in this election.

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Speaker 1: Yeah, no, I that's that is fantastic to watch unfold

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Speaker 1: in front of our own eyes. Speaking of the Trump administration,

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Speaker 1: there's been talks for a while now in conservative movements

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Speaker 1: about getting rid of the Department of Education, to which

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Speaker 1: a bunch of the Libs are screaming about of oh no,

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Speaker 1: this is terrible, But the Trump administration is talking about

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Speaker 1: getting rid of the Department of Education. Government schools have

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Speaker 1: been failing upwards of for the last several decades. The

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Speaker 1: numbers about homeschoolers are coming out and over the last

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Speaker 1: several years, obviously COVID played a big factor in at

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Speaker 1: but have been rising consistently up to the expected twenty

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Speaker 1: to twenty four numbers are going to be about three

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Speaker 1: point seven million students. School age students are likely to

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Speaker 1: be homeschooled in the country. Seventy two percent of people

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Speaker 1: who say their homeschool and the kids are dissatisfied with

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Speaker 1: the academic instruction and traditional school seventy five percent want

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Speaker 1: to provide more moral instruction. Alex what does it look

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Speaker 1: like over the next decade of parents who are choosing

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Speaker 1: to homeschool their kids instead of entrust them into the

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Speaker 1: government woke schools.

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Speaker 2: Well, first of all, I hope we start seeing, you know,

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Speaker 2: really really smart kids kind of taking jobs and having

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Speaker 2: a better sense of independence and grasp on adulthood. What

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Speaker 2: we've seen in this last generation are kids who are

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Speaker 2: terrified to start driving as teenagers. They don't want to

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Speaker 2: move out of their parents' house. It's just this weird

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Speaker 2: like Peter Pan syndrome, never growing up that we're seeing

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Speaker 2: from today's young people. This has got to stop. Were

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Speaker 2: this country cannot survive if that's what's going on. And

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Speaker 2: I would say, as far as the learning environment that

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Speaker 2: we've kind of cultivated over the years in American public schools,

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Speaker 2: if you were to take a plant and put it

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Speaker 2: in the same environment that we are expecting kids to

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Speaker 2: thrive and learn in a public school setting, that plant

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Speaker 2: would die hardly. Any sunlight, no nutrient dense foods or water,

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Speaker 2: you know, the tap water that we're we're letting them

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Speaker 2: get out of the water fountains there, you know, filled

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Speaker 2: with arsenic and birth control and fluoride. It's absolutely horrific

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Speaker 2: the conditions that we're putting kids in. And then we're

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Speaker 2: saying like, okay, now you need to perform. And also,

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Speaker 2: as a child, doesn't come naturally to you to sit

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Speaker 2: six or seven hours a day straight and not talk

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Speaker 2: and not move, but like God forbid, you can't do

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Speaker 2: any of that. And if you do, then we're going

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Speaker 2: to put you on a bunch of prescription drugs that's

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Speaker 2: going to start a lifelong treadmill of drug prescriptions for

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Speaker 2: you and start getting you medicalized at a younger and

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Speaker 2: younger age. So it's really disturb And the thing is

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Speaker 2: is that all of these people that are pooping their

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Speaker 2: pants and crying about the Department of Education being defunded,

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Speaker 2: I'm sorry, but like, has it really been successful? Half

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Speaker 2: of American students cannot read, so they can't read, they

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Speaker 2: can't write. The academic mathematics scores are plumbing, so these

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Speaker 2: kids are not learning. I mean, the data shows that

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Speaker 2: they're not learning, so what are they doing in there

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Speaker 2: all day? Basically they're just sitting there and being told

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Speaker 2: to be quiet, and their behavior is they're trying to

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Speaker 2: correct their behavior. We have to get back to a

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Speaker 2: country where we're allowing kids to be kids. Kids, especially

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Speaker 2: very very young kids learn when they're playing, they need

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Speaker 2: to be outside. They need to be eating real food,

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Speaker 2: they need to be getting sunlight. They need to stay

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Speaker 2: off screens that are melting their brains and making it

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Speaker 2: so they cannot focus on anything. We've got iPad brain

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Speaker 2: rot through the roof. So there's a lot of things

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Speaker 2: that are working against American kids. I really really feel

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Speaker 2: strongly that if more parents, and I think a lot

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Speaker 2: of parents would be really open to homeschooling Joe Bob.

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Speaker 2: But the problem is is that it's been kind of

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Speaker 2: indoctrinated into American parents that it's really hard to do,

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Speaker 2: or you have to have, you know, a certain level

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Speaker 2: of education to do it yourself, or that you have

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Speaker 2: to be a stay at home parent in order to

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Speaker 2: do it. There are so many groups that exist right now,

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Speaker 2: and homeschool co ops and things that are literally helping

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Speaker 2: parents who are single parents. Homeschool who are both working

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Speaker 2: parents who are poor. The average homeschooling family is making

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Speaker 2: I mean, I believe it's under sixty thousand dollars a year.

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Speaker 2: This idea that you have to be like rich and

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Speaker 2: wealthy in a stay at home mom, that's just absolutely

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Speaker 2: not true. You can do it. And the cool thing

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Speaker 2: about homeschool is because it's not supposed to mimic school

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Speaker 2: at home. You're supposed to be able to create your

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Speaker 2: own schedule and kind of go with the flow of

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Speaker 2: your child and their interests. So you can make your

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Speaker 2: schedule as you know, intense as you want, or only

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Speaker 2: two hours a day. Really, your kid's only learning about

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Speaker 2: two hours a day anyway, and then the rest can

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Speaker 2: be spent exploring and doing things as a family learning

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Speaker 2: in those situations.

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Speaker 1: Yeah, I couldn't agree with you more on pretty much

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Speaker 1: all of that. Just to statistically, despite concerns, eighty seven

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Speaker 1: percent of studies suggests that positive social outcomes for homeschool

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Speaker 1: kids as well as ninety eight percent of them find

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Speaker 1: at least five extracurricular activities, So that whole notion slash

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Speaker 1: stigma seems to be put to bed pretty quickly, especially

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Speaker 1: when you factor in all the statistics. Alex Clark, host

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Speaker 1: of Culture Apothecary, check it out wherever. Alex. Really appreciate

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Speaker 1: you taking the time to come on.

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Speaker 2: Thank you so much. Hey, anytime you want to talk

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Speaker 2: homeschool or raw milk or anything, just come listen to

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Speaker 2: my show and that's all.

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Speaker 1: We talk about. Awesome, Alex, thank you so much, appreciate it.

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Speaker 2: Thank you.

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Speaker 1: Coming up we talk masculinity is among many other things.

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Speaker 1: And also check in with Turning Points White House Correspondent

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Speaker 1: Monica Page at the White House. Don't go away, We'll

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Speaker 1: be right back after this. Welcome back to Turning Point tonight.

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Speaker 1: It is time to check in with Turning Points White

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Speaker 1: House Correspondent Monica Page, as she joins us on you know,

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Speaker 1: in my opinion, a somber day. The BLM Plaza in Washington,

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Speaker 1: d C. Is going bye bye. Tell us a little

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Speaker 1: bit about that. And we were just talking briefly before

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Speaker 1: this how it all kind of came into play. Can

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Speaker 1: you explain that for a guess at our viewers at home.

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Speaker 8: Yeah, sure, Joe, Bob, great to be with you as always.

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Speaker 8: I mean, it's a very historic day. Some say, you know,

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Speaker 8: it's an end of an era after four and a

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Speaker 8: half years of having BLM Plaza for about two blocks

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Speaker 8: here right across the street from the White House here

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Speaker 8: in d C. I mean, it's completely going away. I

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Speaker 8: mean we saw construction workers this morning tearing it up.

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Speaker 8: But the reason why that it is the way it is.

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Speaker 8: I mean it was okayed and got the green light

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Speaker 8: from DC Mural DC Mayor Miro Bowser. The reason why

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Speaker 8: is because in Congress there was Congressman Georgia Congressman Andrew

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Speaker 8: Clyde he put forth him seventeen seventy four which basically said,

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Speaker 8: this BLM mural that you have here is pretty divisive

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Speaker 8: and if you keep it up, we're gonna pull all

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Speaker 8: your federal funding. So either you pull the either you

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Speaker 8: pulled that mural out, or we're gonna stop giving you

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Speaker 8: federal funds. So this is what mural Bowser okayed, the

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Speaker 8: murals coming out, and I think within the next six

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Speaker 8: to eight weeks we could see it completely paved over

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Speaker 8: and we could see the square being renamed to Liberty

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Speaker 8: Plaza or Freedom Plaza at that that that.

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Speaker 1: Yeah, it is interesting because it was the mayor of

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Speaker 1: DC that preemptively took this down because people should know

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Speaker 1: this from civics class. Washington, DC is not its own entity,

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Speaker 1: that everything they do is controlled by Congress because it

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Speaker 1: is a district not a state. And interestingly enough, listen

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Speaker 1: to this. The cost estimates for the BLM plaza reportedly

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Speaker 1: cost four point eight million dollars for construction, including durable

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Speaker 1: paint and a bunch of other nonsense, and an additional

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Speaker 1: three three million dollars invested for benches, lighting, signage, all

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Speaker 1: that sort of stuff, bringing the cost for the bil

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Speaker 1: And Plaza close to eight million dollars of taxpayer money.

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Speaker 1: Holy cow, that's that's very expensive, Ana, Yeah, yeah, right,

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Speaker 1: Anything else going on at the White House specifically today

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Speaker 1: that outside of this, you know, this just devastating day

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Speaker 1: for her BLM and those communists over there that run

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Speaker 1: that organization. Anything else going on at the White House.

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Speaker 8: I mean, we were off to a pretty strong start here.

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Speaker 8: I mean we have seen the creation of the CBP

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Speaker 8: home app over the weekend now being put into place today,

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Speaker 8: which essentially allows it legal aliens to declare that they're

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Speaker 8: leaving the country. We remember, under the Biden administration they

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Speaker 8: had the CBP one app, which basically fast tractors legal

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Speaker 8: status to citizenship, but it came with a lot of issues.

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Speaker 8: I mean, the app was crashing, they were tech issues.

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Speaker 8: But President Trump, after signing that executive order about immigration

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Speaker 8: and basically deporting those criminals, they implemented CDP home, which

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Speaker 8: means you're going to go back or you're going to

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Speaker 8: face harsh consequences. So a really strong start heading into

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Speaker 8: this week. We also know President Trump signing an executive

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Speaker 8: order today as well. It's about disaster relief, and it

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Speaker 8: basically says that these local states and jurisdictions have complete

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Speaker 8: power and are in the driver's seat anytime catastrophe strikes

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Speaker 8: in the region, leaving the states completely up to power,

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Speaker 8: so they don't have to rely on federal funding like

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Speaker 8: FEMA to deal with things. And we know that FEMA

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Speaker 8: slow walks a lot of that aid. When you saw

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Speaker 8: in North Carolina and California as well, also Hawaii, East Palestine,

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Speaker 8: you name it, FEMA really slow walked a lot of

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Speaker 8: that kind of stuff. So President Trump's living it up

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Speaker 8: to the states. He's also swearing in his Secret Service

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Speaker 8: Director Sean Kurran this afternoon. He's also holding a round table,

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Speaker 8: a tech round table with all these CEOs talk about

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Speaker 8: tariffs since in national security. So a lot on the

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Speaker 8: president's plate today and definitely going to be a lot

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Speaker 8: on the president's plate as the rest of the week

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Speaker 8: plays out.

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Speaker 1: Yeah, awesome. That sounds like there's a lot that's about

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Speaker 1: to come out of the White House over the course

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Speaker 1: in the next couple of days. We will check in

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Speaker 1: tomorrow seeing you know what else is topping the news

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Speaker 1: of the day coming out of the White House. Monica

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Speaker 1: Page turning Points, White House Correspondent, thanks so much for

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Speaker 1: joining us.

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Speaker 8: Oh, it's great to be with you. Joe Bob, thanks so.

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Speaker 1: Much, Monica Page turning Points, White House Correspondent, Always a

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Speaker 1: pleasure to talk to. Let's bring in another guest to

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Speaker 1: talk about what Trump is talking about with TikTok, some

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Speaker 1: of the trans stuff that Doge is uncovering. Brayden Soorbo

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Speaker 1: joins us from West Palm Beach. You may recognize the name,

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Speaker 1: and if you can put that together, you know, good

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Speaker 1: on you. Son of Hercules and is as tall as

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Speaker 1: that to begin with, but also a big time power

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Speaker 1: player in his own right. Brandon, you got what two

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Speaker 1: million TikTok followers? Almost? Yeah, Well, first of all, thanks,

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Speaker 1: thanks for coming on. Really appreciate you taking the time.

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Speaker 1: But second, as a big time TikToker, President Trump said

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Speaker 1: that there's about four different people possibly looking at a

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Speaker 1: deal to purchase TikTok from the Chinese Communist Party owned

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Speaker 1: Byte Dance. What would that mean for you the TikTok

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Speaker 1: community as a whole. What are your thoughts on that

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Speaker 1: deal possibly getting done.

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Speaker 4: I see it as a potential. I mean, China obviously

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Speaker 4: doesn't want to just give up control of this massive

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Speaker 4: money maker and you know, data mining machine that they have,

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Speaker 4: but it did go into effect that ban for what

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Speaker 4: fourteen hours or so, and so they saw that the

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Speaker 4: United States was actually willing to play ball, and that

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Speaker 4: kind of put them on their heels a little bit.

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Speaker 4: And so I, for one, I love the fact that

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Speaker 4: TikTok gave me the platform that I have, but I

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Speaker 4: also don't love the app itself just because it's China.

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Speaker 4: So well, I can be grateful to have the start

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Speaker 4: that I did on TikTok. I can see the value

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Speaker 4: in protecting American citizens.

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Speaker 1: Yeah, totally. For those who don't know, Congress passed a

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Speaker 1: law that was supposed to take effect to January nineteenth,

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Speaker 1: President Trump signed an executive order delaying at seventy five

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Speaker 1: days for the enforcement of that law. People think it's

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Speaker 1: valued at fifty billion. Of the people that can afford

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Speaker 1: fifty billion, they're really not many, Britain. Do you have

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Speaker 1: any thoughts on who might be coming in. Mister Beast

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Speaker 1: has expressed interest. Some of the other big tech company

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Speaker 1: guys are talking that they might participate, Jeff Bezos, Zuckerberg,

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Speaker 1: all the kind of the usual suspects. You know what,

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Speaker 1: could there be a difference depending on who it ultimately

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Speaker 1: goes to if President Trump is able to actually solidify

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Speaker 1: this deal.

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Speaker 4: See' that's the biggest problem, is it. It's gonna be

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Speaker 4: the same thing as Facebook, in which case, okay, great,

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Speaker 4: Now an American company is just stealing all my data,

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Speaker 4: So how much better is it really? You know, it's

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Speaker 4: kind of like the double edged sword. I've seen people

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Speaker 4: like mister Beasts, Kevin O'Leary, Rachel Matt No, sorry, Mark Cuban.

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Speaker 3: I always get them confused throw their names into the hat.

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Speaker 4: I would be surprised if Elon Musk wasn't interested in

436
00:21:48,440 --> 00:21:51,359
Speaker 4: buying TikTok simply to essentially throw it out because he

437
00:21:51,400 --> 00:21:53,680
Speaker 4: wants X to be the number one platform and TikTok

438
00:21:53,760 --> 00:21:56,000
Speaker 4: is a big competitor when it comes to video making.

439
00:21:56,359 --> 00:22:00,080
Speaker 4: But I wouldn't be surprised if Trump was able to

440
00:22:00,160 --> 00:22:03,199
Speaker 4: kind of set a deal in place with someone like

441
00:22:03,280 --> 00:22:06,000
Speaker 4: mister Beast or mister wonderful Kevin O'Leary with his whole

442
00:22:06,040 --> 00:22:09,560
Speaker 4: group kind of conglomerate of people. And I suppose it

443
00:22:09,680 --> 00:22:14,040
Speaker 4: might be somewhat better than the regular Chinese byte dance

444
00:22:14,119 --> 00:22:16,679
Speaker 4: company owning it, but not by much, not by a

445
00:22:16,680 --> 00:22:17,280
Speaker 4: great margin.

446
00:22:18,200 --> 00:22:20,560
Speaker 1: Yeah, that's you know, conservatives are really kind of split

447
00:22:20,640 --> 00:22:24,159
Speaker 1: on this whole TikTok issue. Obviously, there's the you know,

448
00:22:24,200 --> 00:22:26,159
Speaker 1: the algorithm part of it, where it's like, all right, well,

449
00:22:26,200 --> 00:22:28,359
Speaker 1: are we gonna let one of our biggest enemies put

450
00:22:28,800 --> 00:22:31,439
Speaker 1: what is in front of the screen for millions and

451
00:22:31,560 --> 00:22:34,520
Speaker 1: millions of young adults. And also there's a free speech

452
00:22:34,520 --> 00:22:36,679
Speaker 1: element to it. So it's a big, whole complicated thing.

453
00:22:36,720 --> 00:22:38,880
Speaker 1: It'll be really interesting to see if President Trump can

454
00:22:38,920 --> 00:22:41,040
Speaker 1: get a deal struck with whoever it is that is

455
00:22:41,080 --> 00:22:43,600
Speaker 1: looking to purchase the app. I want to move on

456
00:22:43,640 --> 00:22:46,080
Speaker 1: to this. This is effectively a TikTok, you know, in

457
00:22:46,119 --> 00:22:49,040
Speaker 1: the format This is a clip from Andrew Schulz, and

458
00:22:49,080 --> 00:22:52,040
Speaker 1: again this really applies to you as authoring a book

459
00:22:52,080 --> 00:22:55,199
Speaker 1: Embrace Masculinity. Watch this clip and we'll discuss on the

460
00:22:55,200 --> 00:22:57,199
Speaker 1: other side. I told my wife, was like, listen, if

461
00:22:57,240 --> 00:23:00,000
Speaker 1: you want to choose the gender, we can choose a gender.

462
00:23:00,240 --> 00:23:01,280
Speaker 3: Okay, I'm just letting you know.

463
00:23:01,320 --> 00:23:05,240
Speaker 1: Now, whatever gender we choose, it's gonna stay that one.

464
00:23:07,480 --> 00:23:08,720
Speaker 3: They're not coming back here.

465
00:23:08,800 --> 00:23:11,520
Speaker 1: Fifteen years later, I identifzed I got paperwork on.

466
00:23:13,720 --> 00:23:15,040
Speaker 3: I spent thirty grand on a boy.

467
00:23:15,040 --> 00:23:15,959
Speaker 1: I'm getting a foe.

468
00:23:17,240 --> 00:23:19,120
Speaker 3: You want to be a girl, you owe me thirty grand.

469
00:23:19,160 --> 00:23:22,760
Speaker 1: I raised you better than you stealed from me. Let

470
00:23:22,760 --> 00:23:24,200
Speaker 1: you buy your freedom with thirty grands.

471
00:23:24,840 --> 00:23:26,560
Speaker 3: You better go out there and get a job. That's what

472
00:23:26,560 --> 00:23:27,080
Speaker 3: you better do.

473
00:23:28,080 --> 00:23:29,880
Speaker 1: I recommend getting the job as a man because women

474
00:23:29,920 --> 00:23:30,880
Speaker 1: make twenty five percent less.

475
00:23:30,880 --> 00:23:31,680
Speaker 8: But listen, this is the time.

476
00:23:32,720 --> 00:23:37,520
Speaker 1: I hope you're ready. I love that. Yeah, you know,

477
00:23:37,520 --> 00:23:39,480
Speaker 1: if you're gonna if you're gonna go through the whole process,

478
00:23:39,480 --> 00:23:42,480
Speaker 1: pay all that money and get a boy, gonna stay

479
00:23:42,520 --> 00:23:44,399
Speaker 1: a boy. I'm pretty your thoughts.

480
00:23:45,359 --> 00:23:47,840
Speaker 4: I've always said that it's it's a man's duty, right,

481
00:23:47,880 --> 00:23:50,000
Speaker 4: Like you said the book Embrace Masculinity. I'll throw it

482
00:23:50,040 --> 00:23:52,800
Speaker 4: up right here, and it's behind me as well. It's

483
00:23:52,800 --> 00:23:54,959
Speaker 4: always a man's job, especially as a father, to take

484
00:23:55,000 --> 00:23:57,399
Speaker 4: care of your family. And so what Andrew's doing brilliantly

485
00:23:57,520 --> 00:24:00,360
Speaker 4: is poking fun at the narrative that the left where

486
00:24:00,400 --> 00:24:02,600
Speaker 4: men don't essentially matter. I mean, there was a post

487
00:24:02,640 --> 00:24:05,120
Speaker 4: I saw a little while ago of a guy who

488
00:24:05,560 --> 00:24:07,640
Speaker 4: had a daughter, and his daughter came to him said Dad,

489
00:24:07,680 --> 00:24:10,040
Speaker 4: I'm transgender. I'm going to become a boy. And the

490
00:24:10,119 --> 00:24:12,080
Speaker 4: dad goes, oh my gosh, so am I I'm going

491
00:24:12,160 --> 00:24:13,960
Speaker 4: to be a girl. And he essentially made fun of

492
00:24:13,960 --> 00:24:16,000
Speaker 4: it so much to the point where he was showing

493
00:24:16,080 --> 00:24:20,960
Speaker 4: up in poorly pick up his daughter from school and

494
00:24:21,000 --> 00:24:24,200
Speaker 4: being so embarrassing that this trend sort of died out

495
00:24:24,200 --> 00:24:25,959
Speaker 4: in the family. And now the daughter is a happy

496
00:24:26,200 --> 00:24:30,000
Speaker 4: teenage girl living her life as she should. And so Andrew,

497
00:24:30,480 --> 00:24:33,800
Speaker 4: with his comedic timing, is brilliant in poking fun at

498
00:24:33,840 --> 00:24:36,280
Speaker 4: what the left is doing with the transgender movement, because

499
00:24:36,480 --> 00:24:37,720
Speaker 4: it's incredibly true.

500
00:24:37,800 --> 00:24:39,640
Speaker 3: You know, it is boy or boy.

501
00:24:39,680 --> 00:24:41,880
Speaker 4: I posted International Women's Day was a couple days ago,

502
00:24:41,920 --> 00:24:43,520
Speaker 4: and I said, Happy International Women's Day.

503
00:24:43,520 --> 00:24:45,240
Speaker 3: By the way, what is a woman?

504
00:24:45,440 --> 00:24:47,600
Speaker 4: Because so many people can't seem to figure out the

505
00:24:47,640 --> 00:24:50,600
Speaker 4: difference between xx and x Y chromosomes, And that's just

506
00:24:50,680 --> 00:24:53,560
Speaker 4: the only way that we can really sort of poke

507
00:24:53,640 --> 00:24:56,320
Speaker 4: fun through it because science doesn't matter to the leftists,

508
00:24:56,560 --> 00:24:59,320
Speaker 4: and so comedy is really going to strike a nerve.

509
00:25:00,280 --> 00:25:03,080
Speaker 1: Yeah, it's the best way to throw that in there is,

510
00:25:03,720 --> 00:25:05,800
Speaker 1: you know, make fun of it and mock it and

511
00:25:06,040 --> 00:25:07,919
Speaker 1: it goes away, which I think we're actually doing a

512
00:25:07,920 --> 00:25:09,960
Speaker 1: pretty good job of doing, speaking of things to make

513
00:25:10,000 --> 00:25:13,639
Speaker 1: fun of and mock the Uh well, okay, this is

514
00:25:13,680 --> 00:25:16,920
Speaker 1: this is this is crazy where it was coming from,

515
00:25:17,280 --> 00:25:18,919
Speaker 1: but it was also it's also crazy just in and

516
00:25:18,920 --> 00:25:21,560
Speaker 1: of itself. Let me explain that the US Department of

517
00:25:21,600 --> 00:25:26,760
Speaker 1: Agriculture canceled a grant were six hundred thousand dollars to

518
00:25:27,000 --> 00:25:32,920
Speaker 1: study the menstrual cycles of transgender men. Secretary Brook Rawlins

519
00:25:32,920 --> 00:25:36,399
Speaker 1: said on Friday, six hundred thousand dollars was going to

520
00:25:36,560 --> 00:25:40,960
Speaker 1: studying the mentoral cycles of women, which I think we

521
00:25:41,000 --> 00:25:43,440
Speaker 1: actually know quite a bit about already. But these women

522
00:25:43,520 --> 00:25:47,960
Speaker 1: specifically dress up like dudes and pretend so that I

523
00:25:47,960 --> 00:25:52,480
Speaker 1: guess warrants another half million dollars. I don't know, it's

524
00:25:52,920 --> 00:25:53,679
Speaker 1: what are your thoughts.

525
00:25:54,440 --> 00:25:56,960
Speaker 4: I was really concerned when hearing you say that and

526
00:25:57,000 --> 00:25:59,440
Speaker 4: reading the article for the first time, because I was going, Okay, wait,

527
00:25:59,480 --> 00:26:01,919
Speaker 4: are they studying men who think they're women? Because if

528
00:26:01,960 --> 00:26:03,840
Speaker 4: you're a guy and you're bleeding down there, you should

529
00:26:03,840 --> 00:26:06,119
Speaker 4: probably get it checked out. That's not a menstrual cycle,

530
00:26:06,160 --> 00:26:09,480
Speaker 4: that's probably cancer. Like, don't you know, don't don't fall

531
00:26:09,520 --> 00:26:12,439
Speaker 4: into that trap. But it's so true. This this absurd

532
00:26:12,480 --> 00:26:14,320
Speaker 4: amount of money that we're wasting. Why do we need

533
00:26:14,520 --> 00:26:17,119
Speaker 4: more money thrown at something that we're already spending money

534
00:26:17,119 --> 00:26:20,280
Speaker 4: studying Just because these women take testosterone and try to

535
00:26:20,320 --> 00:26:22,800
Speaker 4: grow out a beard, we need to allocate over half

536
00:26:22,840 --> 00:26:26,119
Speaker 4: a million dollars for them. Frankly say, I live in

537
00:26:26,119 --> 00:26:28,240
Speaker 4: a house with two women, my sister and my mom.

538
00:26:28,640 --> 00:26:31,880
Speaker 4: I don't ask questions. It's not my it's not my business.

539
00:26:31,920 --> 00:26:32,879
Speaker 3: I don't need to know.

540
00:26:33,320 --> 00:26:35,280
Speaker 4: All I know is okay, they might be a little

541
00:26:35,320 --> 00:26:37,159
Speaker 4: bit more moody or grumpy today.

542
00:26:37,400 --> 00:26:38,640
Speaker 3: I'm just gonna steer clear.

543
00:26:38,960 --> 00:26:40,840
Speaker 4: You know, Hey, Mom, you want me to make you

544
00:26:40,920 --> 00:26:43,639
Speaker 4: dinner because that'll keep me safe And that's all I

545
00:26:43,680 --> 00:26:44,560
Speaker 4: really care about.

546
00:26:45,160 --> 00:26:50,040
Speaker 1: Oh man, dude, that's uh that's I'm gonna because I'm married,

547
00:26:50,119 --> 00:26:53,600
Speaker 1: I'm not gonna condone those remarks. But I do know

548
00:26:53,640 --> 00:26:55,200
Speaker 1: somebody who looks a lot like me that may a

549
00:26:55,280 --> 00:27:00,160
Speaker 1: man not agree with you. Brady Sorbo, author of Embrace Masculine,

550
00:27:00,160 --> 00:27:02,280
Speaker 1: thanks so much for joining us. Really appreciate you taking

551
00:27:02,320 --> 00:27:02,680
Speaker 1: the time.

552
00:27:03,119 --> 00:27:03,480
Speaker 3: Thank you.

553
00:27:04,560 --> 00:27:06,879
Speaker 1: Coming up, we had a great clip from the Alex

554
00:27:06,960 --> 00:27:09,639
Speaker 1: Clark culture Apothecary, who you just heard from in the

555
00:27:09,640 --> 00:27:13,040
Speaker 1: first segment. Don't go away, We'll be right back after this.

556
00:27:22,760 --> 00:27:25,800
Speaker 2: You're challenging the status quo of factory farming. What's the

557
00:27:25,800 --> 00:27:27,919
Speaker 2: most shocking thing that you've learned about the way the

558
00:27:27,920 --> 00:27:29,719
Speaker 2: poultry industry operates today.

559
00:27:29,800 --> 00:27:33,119
Speaker 7: The most shocking thing is that labels, by and large

560
00:27:33,119 --> 00:27:34,399
Speaker 7: like don't mean what you think.

561
00:27:35,320 --> 00:27:38,240
Speaker 3: And that's really for the worse.

562
00:27:38,320 --> 00:27:41,560
Speaker 7: I would say, like people are very convinced that they

563
00:27:41,640 --> 00:27:46,600
Speaker 7: understand what the labels like pasture raise means, free range, organic,

564
00:27:46,720 --> 00:27:49,800
Speaker 7: and oftentimes it's not what you would think. And I

565
00:27:49,840 --> 00:27:52,879
Speaker 7: think that when people start to understand that, it's a

566
00:27:52,880 --> 00:27:56,720
Speaker 7: bit disheartening because they're spending a lot of extra money

567
00:27:56,760 --> 00:27:59,760
Speaker 7: on this stuff. But the reality is it's just like,

568
00:28:00,119 --> 00:28:02,840
Speaker 7: oftentimes not what you would hope it is.

569
00:28:02,920 --> 00:28:04,880
Speaker 2: Okay, So let's go through what some of these labels mean,

570
00:28:04,920 --> 00:28:06,960
Speaker 2: Like let's talk about what is cage free, what is

571
00:28:07,000 --> 00:28:08,840
Speaker 2: free range, what is pasture rays.

572
00:28:09,080 --> 00:28:13,200
Speaker 7: Yeah, so my disclaimer with this is like I'll explain these,

573
00:28:13,240 --> 00:28:17,200
Speaker 7: but it's no shade to the actual farmers. Like these people,

574
00:28:17,720 --> 00:28:19,840
Speaker 7: I don't care. I've I've met hundreds of them, and

575
00:28:19,880 --> 00:28:22,280
Speaker 7: they are the salt of the earth. They're good people.

576
00:28:22,320 --> 00:28:25,760
Speaker 7: Even the people doing factory farming. It's like the farmers themselves,

577
00:28:26,480 --> 00:28:28,560
Speaker 7: they're just trying to make a living man and that

578
00:28:28,560 --> 00:28:30,600
Speaker 7: that's what they know, and they're doing their best, and

579
00:28:30,640 --> 00:28:33,840
Speaker 7: like I respect anybody who's producing food. My cut is

580
00:28:33,880 --> 00:28:37,600
Speaker 7: more like towards the marketing departments and the ivory towers

581
00:28:37,600 --> 00:28:40,080
Speaker 7: that are like, oh, let's take this and spin it

582
00:28:40,120 --> 00:28:42,040
Speaker 7: this way and call it something else. And I think

583
00:28:42,080 --> 00:28:44,080
Speaker 7: that that's where it's shocked up. So I think there's

584
00:28:44,160 --> 00:28:47,400
Speaker 7: room for everything with transparency like that. To me, that's

585
00:28:47,440 --> 00:28:49,719
Speaker 7: the important piece, Like let people decide. There's so many

586
00:28:49,760 --> 00:28:52,160
Speaker 7: people that are on such a tight budget, like they

587
00:28:52,240 --> 00:28:55,160
Speaker 7: just need to buy the caged eggs, like that's just

588
00:28:55,160 --> 00:28:55,880
Speaker 7: what they can afford.

589
00:28:55,920 --> 00:28:58,360
Speaker 2: But and that's still better an egg is still an

590
00:28:58,400 --> 00:29:01,880
Speaker 2: egg versus nonsensor.

591
00:29:02,560 --> 00:29:04,880
Speaker 3: Yeah for sure. Okay, so cage free.

592
00:29:05,360 --> 00:29:08,280
Speaker 7: For a long time, animals were, like laying chickens especially

593
00:29:08,280 --> 00:29:11,400
Speaker 7: were raised in actual cages, like six animals in a small,

594
00:29:11,400 --> 00:29:15,200
Speaker 7: little shoe box size cage. That's mostly at least in California,

595
00:29:15,280 --> 00:29:17,840
Speaker 7: Like that's mostly gone by the wayside now, so you'll

596
00:29:17,840 --> 00:29:21,440
Speaker 7: see cage free. That sort of explains all meat chickens

597
00:29:21,480 --> 00:29:23,880
Speaker 7: at least, like there are no caged meat chickens in

598
00:29:23,920 --> 00:29:27,560
Speaker 7: the US. In Europe, there actually is free range. Free

599
00:29:27,600 --> 00:29:30,560
Speaker 7: range means the birds were free to range outside. So

600
00:29:30,680 --> 00:29:34,360
Speaker 7: take kind of like an industrial style warehouse six hundred

601
00:29:34,400 --> 00:29:37,360
Speaker 7: foot long, forty ft wide, twenty four thousand birds inside

602
00:29:37,360 --> 00:29:40,880
Speaker 7: of there. As long as those doors open, those birds

603
00:29:40,920 --> 00:29:43,760
Speaker 7: were technically free to range outside. They don't have to

604
00:29:43,840 --> 00:29:45,880
Speaker 7: go outside to be free range, but they need to

605
00:29:45,880 --> 00:29:49,880
Speaker 7: have the access to go outside. Some companies are diligent

606
00:29:49,920 --> 00:29:52,920
Speaker 7: about it. They're putting food out there and shade and water,

607
00:29:53,000 --> 00:29:55,040
Speaker 7: and they're like actually trying to encourage the birds out.

608
00:29:55,480 --> 00:29:58,240
Speaker 7: Some companies are like, oh, we popped it open for

609
00:29:58,280 --> 00:29:59,080
Speaker 7: one minute.

610
00:29:58,760 --> 00:30:00,360
Speaker 3: This year while the auditor was there.

611
00:30:00,560 --> 00:30:02,760
Speaker 7: We're going to count it, you know, So it's really

612
00:30:02,800 --> 00:30:06,520
Speaker 7: company by company. The problem is chickens are prey animals.

613
00:30:07,200 --> 00:30:09,920
Speaker 7: They don't really like just running out into an open

614
00:30:09,920 --> 00:30:12,440
Speaker 7: field like your dog or a cow or something. So

615
00:30:12,760 --> 00:30:15,040
Speaker 7: unless you have a lot of reasons for them to

616
00:30:15,080 --> 00:30:17,400
Speaker 7: spend a lot of time outside, they'll stay. They're kind

617
00:30:17,400 --> 00:30:18,840
Speaker 7: of going to stay where the food and water and

618
00:30:18,880 --> 00:30:21,200
Speaker 7: their friends in this in this shade is, you know,

619
00:30:21,240 --> 00:30:24,160
Speaker 7: so they're going to pretty much stay inside. But I

620
00:30:24,200 --> 00:30:26,920
Speaker 7: would say, like outdoor access is still better than not

621
00:30:27,040 --> 00:30:28,160
Speaker 7: having outdoor access.

622
00:30:28,280 --> 00:30:30,160
Speaker 3: So I'm not knocking free range or anything.

623
00:30:30,200 --> 00:30:33,320
Speaker 7: It's just some people have this picture of like chickens,

624
00:30:33,360 --> 00:30:35,640
Speaker 7: like red chickens outside running around like those.

625
00:30:35,600 --> 00:30:36,280
Speaker 3: Not really wouldn't.

626
00:30:36,320 --> 00:30:38,080
Speaker 2: But that is kind of the case with pasture raised,

627
00:30:38,120 --> 00:30:38,800
Speaker 2: right or not.

628
00:30:39,040 --> 00:30:41,280
Speaker 7: Kind of, So I'll explain pasture raise too, because it's

629
00:30:41,320 --> 00:30:42,640
Speaker 7: not what a lot of people think it is either

630
00:30:43,120 --> 00:30:44,920
Speaker 7: a lot of the marketing has made us think like, oh,

631
00:30:44,960 --> 00:30:48,480
Speaker 7: there's just these fluffy chickens out on their own like

632
00:30:48,560 --> 00:30:50,760
Speaker 7: running around. Chickens just don't do that. Like if you've

633
00:30:50,760 --> 00:30:55,120
Speaker 7: been to Hawaii or Thailand, chickens are like sneaking to

634
00:30:55,160 --> 00:30:56,680
Speaker 7: this bush and then they're like running over to this

635
00:30:56,760 --> 00:30:58,600
Speaker 7: bush like they don't want to get eaten, you know,

636
00:30:58,920 --> 00:31:00,560
Speaker 7: so they want to stay protect did they want to

637
00:31:00,560 --> 00:31:03,560
Speaker 7: stay close to their buddies. So in a true pasture

638
00:31:03,600 --> 00:31:06,640
Speaker 7: ray system, usually it's like Joel's Place, so that you

639
00:31:06,680 --> 00:31:10,000
Speaker 7: have some kind of a protective shade structure that gives them,

640
00:31:10,280 --> 00:31:11,720
Speaker 7: you know, a way to get out of the rain

641
00:31:11,800 --> 00:31:15,680
Speaker 7: and the sun. And then it's a floorless structure, so

642
00:31:15,760 --> 00:31:18,640
Speaker 7: you're moving that structure because they want to be close

643
00:31:18,680 --> 00:31:20,720
Speaker 7: to their food and water and shade. The important thing

644
00:31:20,800 --> 00:31:22,200
Speaker 7: is like you got to move that structure and then

645
00:31:22,240 --> 00:31:22,920
Speaker 7: the birds.

646
00:31:22,600 --> 00:31:23,040
Speaker 3: Move with it.

647
00:31:23,080 --> 00:31:24,800
Speaker 2: And you guys are doing that every day.

648
00:31:24,840 --> 00:31:27,360
Speaker 3: Every single day, and that's really important.

649
00:31:27,360 --> 00:31:29,520
Speaker 2: You're in national grocery stores and you're able to move

650
00:31:29,560 --> 00:31:30,280
Speaker 2: all this every day.

651
00:31:30,440 --> 00:31:33,080
Speaker 7: Yeah, but that's a lot of innovation, and like a

652
00:31:33,080 --> 00:31:34,840
Speaker 7: lot of what we spent the last six years on

653
00:31:35,000 --> 00:31:37,800
Speaker 7: is how do we like automate that, how do we

654
00:31:37,920 --> 00:31:40,280
Speaker 7: build like everything has to be on solar because we're

655
00:31:40,280 --> 00:31:41,840
Speaker 7: on these farms out in the middle of nowhere in

656
00:31:41,880 --> 00:31:43,880
Speaker 7: the state of Georgia, so we can't just like plug

657
00:31:43,920 --> 00:31:45,640
Speaker 7: it in and drive it, you know, how do we

658
00:31:45,680 --> 00:31:48,360
Speaker 7: do it all automated so we're not like sitting there

659
00:31:48,400 --> 00:31:51,200
Speaker 7: like moving in our cell. Like Joel's system is awesome

660
00:31:51,200 --> 00:31:54,160
Speaker 7: and it's really labor intensive. Yeah, he has interns and

661
00:31:54,200 --> 00:31:55,480
Speaker 7: apprentices and all this stuff, so.

662
00:31:55,600 --> 00:31:56,320
Speaker 3: He can kind of do it.

663
00:31:56,360 --> 00:31:58,800
Speaker 7: But at our scale, I mean, we're way beyond what

664
00:31:59,040 --> 00:32:01,080
Speaker 7: he's doing, so we have to have a way to

665
00:32:01,400 --> 00:32:03,200
Speaker 7: automate all that stuff. That we call it the Automated

666
00:32:03,240 --> 00:32:06,320
Speaker 7: Range Coup. It's this really cool invention that we feel

667
00:32:06,360 --> 00:32:09,320
Speaker 7: like is like challenging the status quo. And it's like

668
00:32:09,920 --> 00:32:13,080
Speaker 7: it's like a place for the birds to actually grow.

669
00:32:13,120 --> 00:32:14,880
Speaker 7: But it's on wheels and it moves every single day,

670
00:32:14,920 --> 00:32:15,280
Speaker 7: so it's a.

671
00:32:15,200 --> 00:32:18,000
Speaker 2: Totally it moves on its own. Yeah, drive it or what.

672
00:32:17,920 --> 00:32:21,200
Speaker 3: It drives itself. It's like it's like the largest electric

673
00:32:21,240 --> 00:32:21,840
Speaker 3: vehicle in the world.

674
00:32:21,920 --> 00:32:23,000
Speaker 1: How much that costs.

675
00:32:23,280 --> 00:32:27,880
Speaker 7: It's probably a small apartment in Phoenix for each one.

676
00:32:27,760 --> 00:32:30,280
Speaker 1: That's wild, but it has these.

677
00:32:30,280 --> 00:32:32,560
Speaker 3: Huge benefits for the chicken and for the land.

678
00:32:32,840 --> 00:32:36,080
Speaker 2: Is it possible for other farms to be able to

679
00:32:36,160 --> 00:32:37,600
Speaker 2: duplicate what you guys are doing.

680
00:32:37,760 --> 00:32:40,640
Speaker 7: Oh, there's a thousand small farms doing it for real

681
00:32:40,640 --> 00:32:43,560
Speaker 7: at different scales, So like Joel's would be the small

682
00:32:43,600 --> 00:32:45,400
Speaker 7: scale where you have like eighty birds inside of a

683
00:32:45,400 --> 00:32:47,200
Speaker 7: little thing that you pull by hand. There's a lot

684
00:32:47,280 --> 00:32:49,800
Speaker 7: of farms that do a greenhouse that they pull with

685
00:32:49,840 --> 00:32:52,720
Speaker 7: a tractor, and there's us doing it at like the

686
00:32:52,840 --> 00:32:55,200
Speaker 7: large scale for pasture rays, which is these huge six

687
00:32:55,280 --> 00:32:59,080
Speaker 7: thousand birds systems that are driving themselves. I mean, anybody

688
00:32:59,120 --> 00:33:02,040
Speaker 7: can do it. There's no protection, there's nothing stopping you.

689
00:33:02,080 --> 00:33:04,440
Speaker 7: But the problem is there's kind of no reason to

690
00:33:04,600 --> 00:33:08,680
Speaker 7: do it because that pasture raise label can be slapped

691
00:33:08,680 --> 00:33:11,120
Speaker 7: on by people in a free range system, like up

692
00:33:11,200 --> 00:33:14,800
Speaker 7: until very recently, the USDA considered free range and pastuais

693
00:33:14,840 --> 00:33:15,320
Speaker 7: to be the same.

694
00:33:15,440 --> 00:33:17,960
Speaker 2: Okay, So then how do you know that the chicken

695
00:33:18,000 --> 00:33:19,880
Speaker 2: at the grocery store that the eggs in the grocery

696
00:33:19,920 --> 00:33:21,520
Speaker 2: store are truly pasture raised.

697
00:33:22,160 --> 00:33:23,880
Speaker 7: So a lot of people would say they're gonna hear

698
00:33:23,880 --> 00:33:25,239
Speaker 7: your question and be like, well, I can tell from

699
00:33:25,280 --> 00:33:27,720
Speaker 7: the yolk, Like the yolk's gonna be orange in the

700
00:33:27,760 --> 00:33:30,880
Speaker 7: true pastu raise. No, people like that is not how

701
00:33:30,920 --> 00:33:36,200
Speaker 7: you tell. The industry uses something called xanthophil, which is

702
00:33:36,240 --> 00:33:39,280
Speaker 7: a feed additive. What that can make that yoke any

703
00:33:39,360 --> 00:33:42,440
Speaker 7: color they want. So whether the birds have lived out

704
00:33:42,480 --> 00:33:44,800
Speaker 7: on green grass or they've never stepped foot outside.

705
00:33:44,840 --> 00:33:47,640
Speaker 3: I can produce an or a yolk that's orange or.

706
00:33:47,840 --> 00:33:51,120
Speaker 7: Red or bright yellow or even like shades of green,

707
00:33:51,600 --> 00:33:53,480
Speaker 7: Like I can make it any color through a synthetic

708
00:33:53,480 --> 00:33:55,840
Speaker 7: feed additive. That's what those guys are doing. So then

709
00:33:55,840 --> 00:33:58,240
Speaker 7: a lot of people are cracking this yok open. They're like, oh,

710
00:33:58,240 --> 00:34:02,480
Speaker 7: well look at this beautiful orange. Yeo, that's not orange

711
00:34:02,520 --> 00:34:05,320
Speaker 7: because the birds are outside. That's from a feet additive.

712
00:34:05,480 --> 00:34:09,160
Speaker 7: You know, So how do you really tell that's the problem,

713
00:34:09,320 --> 00:34:11,799
Speaker 7: Like people don't know they have there's no way to

714
00:34:11,840 --> 00:34:14,319
Speaker 7: really know other than knowing your farmer, which is.

715
00:34:14,239 --> 00:34:16,399
Speaker 3: Not really like a that's not a.

716
00:34:16,320 --> 00:34:19,600
Speaker 7: Realistic solution, like Joel talks about that a lot. Will

717
00:34:19,760 --> 00:34:22,040
Speaker 7: Harris talks about that a lot I love, and you've

718
00:34:22,040 --> 00:34:24,440
Speaker 7: had on as well. Most paper too busy, like they

719
00:34:24,440 --> 00:34:27,600
Speaker 7: can't really do that. So it becomes really really tough

720
00:34:27,640 --> 00:34:30,839
Speaker 7: for the working mom who's rushing through the grocery store

721
00:34:30,920 --> 00:34:32,960
Speaker 7: with three kids hanging onto the shopping cart, and they're like,

722
00:34:33,440 --> 00:34:34,920
Speaker 7: I want to feed my kids the best I can.

723
00:34:34,960 --> 00:34:37,360
Speaker 7: I'm going to grab the pasture raise, but they're paying

724
00:34:37,400 --> 00:34:39,600
Speaker 7: extra for a label, you know, fully smoke.

725
00:34:39,760 --> 00:34:42,440
Speaker 2: Yeah, it's a bummer that is like a massive manipulation

726
00:34:42,600 --> 00:34:43,799
Speaker 2: tactic I wasn't aware of.

727
00:34:44,160 --> 00:34:46,520
Speaker 7: And that's why I say, like, if you're doing free

728
00:34:46,600 --> 00:34:48,960
Speaker 7: range or even caged birds, like, if you're honest about it,

729
00:34:49,000 --> 00:34:51,800
Speaker 7: I actually respect it more sure than faking people.

730
00:34:51,920 --> 00:34:53,520
Speaker 3: Like That's what bothers me the most.

731
00:34:53,760 --> 00:34:58,120
Speaker 2: Why should antibiotic free chicken be a non negotiable for families?

732
00:34:58,960 --> 00:35:02,759
Speaker 7: Well, I'm not act spurt on antibiotics, okay, I just

733
00:35:02,880 --> 00:35:07,239
Speaker 7: think eventually you are what you eat, and you are

734
00:35:07,320 --> 00:35:11,880
Speaker 7: what you eat eats, and with antibiotic resistance like spiking

735
00:35:11,920 --> 00:35:15,520
Speaker 7: throughout the country, we are like a family that never

736
00:35:15,600 --> 00:35:18,640
Speaker 7: takes antibotics for anything, you know. But there's a lot

737
00:35:18,640 --> 00:35:21,560
Speaker 7: of people that need antibotics, like medically they need to

738
00:35:21,640 --> 00:35:24,920
Speaker 7: be effective. Well if we're using them not just in

739
00:35:25,000 --> 00:35:27,640
Speaker 7: response to sickness, like in the poultry industry, they're used

740
00:35:27,640 --> 00:35:30,680
Speaker 7: prophologtically a lot, which means they're fed to the chickens

741
00:35:31,320 --> 00:35:33,480
Speaker 7: whether they got sick or not, because it kind of

742
00:35:33,480 --> 00:35:34,560
Speaker 7: helps them to grow faster.

743
00:35:34,719 --> 00:35:35,680
Speaker 2: Mm hm.

744
00:35:35,800 --> 00:35:38,879
Speaker 7: Those at nine billion animals entering the food supply every

745
00:35:38,880 --> 00:35:42,720
Speaker 7: single year, and that's going to develop an antibiotic resistance,

746
00:35:42,800 --> 00:35:44,839
Speaker 7: not just in the chicken, but some studies are saying

747
00:35:44,840 --> 00:35:47,480
Speaker 7: in humans too, if we're eating that chicken, So it's

748
00:35:47,520 --> 00:35:51,000
Speaker 7: a very dangerous thing to just be like stuffing animals

749
00:35:51,000 --> 00:35:55,120
Speaker 7: with antibiotics. And there are companies. Tyson is one company

750
00:35:55,120 --> 00:35:57,400
Speaker 7: who just went back, so they had no antibotics for

751
00:35:57,440 --> 00:35:59,080
Speaker 7: a long time. They just went back. They're like, nope,

752
00:35:59,080 --> 00:35:59,440
Speaker 7: we're going to.

753
00:35:59,440 --> 00:36:02,640
Speaker 2: Add antibate wire places like chick fil A Tyson. Why

754
00:36:02,680 --> 00:36:05,879
Speaker 2: are they suddenly going from antibiotic free to just adding them.

755
00:36:05,800 --> 00:36:08,720
Speaker 7: Back in all of a sudden Because the birds grow faster,

756
00:36:08,920 --> 00:36:11,960
Speaker 7: so economically it kind of makes more sense they convert

757
00:36:12,120 --> 00:36:16,520
Speaker 7: feed faster. Like it's mostly an economic incentive. It's not

758
00:36:16,560 --> 00:36:19,480
Speaker 7: consumer demand. Consumers do not want antibiotics in the chicken,

759
00:36:20,000 --> 00:36:20,879
Speaker 7: so it's not for that.

760
00:36:21,120 --> 00:36:25,040
Speaker 2: I can't remember if it was on farming that they

761
00:36:25,040 --> 00:36:27,640
Speaker 2: were showing these chickens. So the way they're factory farming,

762
00:36:27,640 --> 00:36:31,640
Speaker 2: it's like it's like they can't move their legs are

763
00:36:31,800 --> 00:36:34,440
Speaker 2: basically they're just laying their limb but they're growing at

764
00:36:34,480 --> 00:36:36,279
Speaker 2: such a fast rate and they're getting so huge that

765
00:36:36,320 --> 00:36:38,000
Speaker 2: they can't walk and things like that, just so they

766
00:36:38,000 --> 00:36:40,680
Speaker 2: can be butchered and they're just creating more meat. What

767
00:36:41,320 --> 00:36:44,440
Speaker 2: are some of these factory farms doing to chickens to

768
00:36:44,600 --> 00:36:47,080
Speaker 2: just make a quick buck that is not actually healthy

769
00:36:47,080 --> 00:36:47,760
Speaker 2: for the consumer.

770
00:36:48,120 --> 00:36:51,000
Speaker 7: So let's say like a normal chicken, Like the breeds

771
00:36:51,000 --> 00:36:52,680
Speaker 7: that we raise are going to be of maybe five

772
00:36:52,840 --> 00:36:56,400
Speaker 7: six pounds something like that. That animal can walk very well.

773
00:36:56,440 --> 00:36:58,360
Speaker 7: It's the same breed. Its like what you see in

774
00:36:58,400 --> 00:37:00,839
Speaker 7: a giant factory farm or whatever. It's the same breed.

775
00:37:00,880 --> 00:37:03,120
Speaker 7: But we're harvesting. And when they're five or six pounds

776
00:37:03,120 --> 00:37:05,520
Speaker 7: and they cruising around, they can still forage. They're doing

777
00:37:05,560 --> 00:37:08,920
Speaker 7: really well. I mean some places are raising those animals

778
00:37:08,960 --> 00:37:12,160
Speaker 7: to twelve pounds. It's like a turkey in a.

779
00:37:12,120 --> 00:37:15,920
Speaker 2: Couple month span. Yeah, and why is that bad for

780
00:37:15,960 --> 00:37:17,080
Speaker 2: the meat when you're eating it.

781
00:37:17,880 --> 00:37:20,040
Speaker 3: I don't know how to say it's bad for the meat.

782
00:37:20,160 --> 00:37:21,680
Speaker 7: But the reason that they're going to do it is

783
00:37:21,719 --> 00:37:23,800
Speaker 7: because it costs kind of like the same to harvest

784
00:37:23,800 --> 00:37:26,080
Speaker 7: an animal, whether it's three pounds or twelve pounds, So

785
00:37:26,120 --> 00:37:29,160
Speaker 7: economically it makes sense to raise a bigger animal, and

786
00:37:29,160 --> 00:37:31,520
Speaker 7: then there's more meat on that animal compared to the bone.

787
00:37:31,560 --> 00:37:34,160
Speaker 3: So it's like that's why they're doing it.

788
00:37:35,160 --> 00:37:38,319
Speaker 2: From a moral standpoint, it's just wrong because you're just

789
00:37:38,520 --> 00:37:41,200
Speaker 2: that animal is miserable.

790
00:37:40,960 --> 00:37:43,640
Speaker 7: And we talked about like being able to go outside

791
00:37:43,680 --> 00:37:46,120
Speaker 7: and express the chickenness of the chicken, like a twelve

792
00:37:46,200 --> 00:37:48,600
Speaker 7: pound chickens not going to just cruise outside, you know,

793
00:37:48,640 --> 00:37:50,680
Speaker 7: there's no way it's not walking around like that.

794
00:37:50,920 --> 00:37:51,120
Speaker 3: You know.

795
00:37:59,120 --> 00:38:01,320
Speaker 1: Welcome back to point tonight, where we are charting the

796
00:38:01,320 --> 00:38:04,160
Speaker 1: course of America's cultural comeback. Usually in this segment we

797
00:38:04,200 --> 00:38:07,360
Speaker 1: do something fun. It's Monday, so maybe we do Mega

798
00:38:07,360 --> 00:38:09,840
Speaker 1: Monday and show a bunch of videos of mag As winning,

799
00:38:10,120 --> 00:38:15,040
Speaker 1: as is generally the case nowadays. But instead, well, today

800
00:38:15,200 --> 00:38:18,320
Speaker 1: actually is my wife and I's seventh anniversary, March tenth,

801
00:38:18,560 --> 00:38:21,120
Speaker 1: twenty eighteen, So I'm gonna use the next couple of

802
00:38:21,120 --> 00:38:25,800
Speaker 1: minutes very briefly to discuss well what I see as marriage,

803
00:38:25,920 --> 00:38:29,080
Speaker 1: especially in the context of the conservative movement, and what

804
00:38:29,200 --> 00:38:32,240
Speaker 1: I've learned over the last couple of years. Of course,

805
00:38:32,400 --> 00:38:37,040
Speaker 1: we are the party of marriage, family, all great, all good,

806
00:38:37,360 --> 00:38:40,560
Speaker 1: But there's one thing that I don't know sticks out

807
00:38:40,560 --> 00:38:44,480
Speaker 1: to me whenever it's said, especially amongst conservatives. Pretty much

808
00:38:44,520 --> 00:38:47,919
Speaker 1: everybody likes to throw around this phrase, well, my wife

809
00:38:48,000 --> 00:38:49,920
Speaker 1: is my best friend, my husband is my best friend,

810
00:38:49,920 --> 00:38:54,600
Speaker 1: my spouse is my best friend. That's not really true. No,

811
00:38:54,719 --> 00:38:57,200
Speaker 1: my best friend is my best friend. And that's not

812
00:38:57,480 --> 00:39:01,160
Speaker 1: at all to diminish the value of the relationship I

813
00:39:01,200 --> 00:39:03,880
Speaker 1: have with my wife. It's actually the opposite. It's to

814
00:39:04,040 --> 00:39:07,319
Speaker 1: elevate that relationship. My wife isn't my best friend. My

815
00:39:07,360 --> 00:39:11,280
Speaker 1: wife is an extension of me. Same is I hope

816
00:39:11,320 --> 00:39:14,600
Speaker 1: that I'm an extension of my wife. We're one thing,

817
00:39:14,640 --> 00:39:17,880
Speaker 1: We're one unit, and a best friend doesn't do the

818
00:39:18,239 --> 00:39:23,680
Speaker 1: justice deserved to what that actually means. In Scripture, it

819
00:39:23,719 --> 00:39:29,600
Speaker 1: says several times in Genesis Ephesian's Mark that a man

820
00:39:30,040 --> 00:39:33,040
Speaker 1: leaves his mother and father to become one flesh with

821
00:39:33,160 --> 00:39:35,640
Speaker 1: his wife. That doesn't mean he leaves his mother and

822
00:39:35,680 --> 00:39:38,760
Speaker 1: father to become his spouse's best friend. No, it means

823
00:39:39,040 --> 00:39:42,120
Speaker 1: one flesh, one unit. And the only reason I say that,

824
00:39:42,160 --> 00:39:44,160
Speaker 1: and the only reason that it I don't know, kind

825
00:39:44,200 --> 00:39:46,440
Speaker 1: of irritates me a little bit is that if you

826
00:39:46,640 --> 00:39:49,920
Speaker 1: look at a marriage as well just two friends that

827
00:39:49,960 --> 00:39:53,160
Speaker 1: live together and share a family, well, it kind of

828
00:39:53,200 --> 00:39:56,480
Speaker 1: distorts the perspective you view the world in If we

829
00:39:56,640 --> 00:40:02,400
Speaker 1: look at every problem, every combative idea from the Libs

830
00:40:02,600 --> 00:40:06,320
Speaker 1: as well, a husband and wife a singular unit going

831
00:40:06,360 --> 00:40:12,960
Speaker 1: at it against the forces of leftism. We're gonna have

832
00:40:13,040 --> 00:40:17,440
Speaker 1: much better and stronger arguments to put together considering the

833
00:40:17,480 --> 00:40:20,239
Speaker 1: fact that we agree that your husband and wife is

834
00:40:20,280 --> 00:40:23,160
Speaker 1: not your best friend. You are one unit. So that

835
00:40:23,280 --> 00:40:26,680
Speaker 1: being said, Happy anniversary, babe, super excited to continue to

836
00:40:26,680 --> 00:40:28,200
Speaker 1: do life with you. That'll do it for us here

837
00:40:28,200 --> 00:40:30,080
Speaker 1: at turning Points tonight, Charlie is going to take us

838
00:40:30,080 --> 00:40:32,040
Speaker 1: out in a segment of his we will see you tomorrow,

839
00:40:32,120 --> 00:40:43,440
Speaker 1: same time, same place, God bless America.

840
00:40:43,920 --> 00:40:48,280
Speaker 6: So much of our politics was defined by that term woke.

841
00:40:49,520 --> 00:40:50,600
Speaker 3: Where did woke begin?

842
00:40:50,680 --> 00:40:54,279
Speaker 6: Obviously thirty or forty fifty sixty years ago via the

843
00:40:54,280 --> 00:40:58,280
Speaker 6: Frankfurt School critical theory. But there was a moment during

844
00:40:58,360 --> 00:41:01,640
Speaker 6: COVID where it seemed as if the entire society exploded.

845
00:41:02,440 --> 00:41:05,200
Speaker 6: There was a moment that was caught on video that

846
00:41:06,280 --> 00:41:10,760
Speaker 6: triggered what is now known as Floyda Palooza. We weren't

847
00:41:10,800 --> 00:41:13,360
Speaker 6: allowed to think about it at the time. We're only

848
00:41:13,400 --> 00:41:16,680
Speaker 6: allowed to feel. We weren't allowed to ask very simple

849
00:41:16,760 --> 00:41:20,240
Speaker 6: questions about what's really going on here. And as a result,

850
00:41:20,560 --> 00:41:24,000
Speaker 6: the man in the video, Derek Chauvin, is now going

851
00:41:24,040 --> 00:41:27,000
Speaker 6: to send the rest of his life in prison when

852
00:41:27,040 --> 00:41:33,320
Speaker 6: now further examination allows us to re analyze this cultural flashpoint,

853
00:41:33,600 --> 00:41:35,560
Speaker 6: and a very brave man when it comes to this

854
00:41:35,600 --> 00:41:39,680
Speaker 6: particular topic, and a great man, Ben Shapiro is willing

855
00:41:39,760 --> 00:41:43,000
Speaker 6: to speak out and not just ask the question, but

856
00:41:43,160 --> 00:41:47,359
Speaker 6: advocate for a pardon for Derek Chauvin. Joining us now

857
00:41:47,440 --> 00:41:51,040
Speaker 6: is Ben Shapiro, host of The Ben Shapiro Show and

858
00:41:51,200 --> 00:41:54,920
Speaker 6: also the website is Pardon Derek dot Com, co founder

859
00:41:54,960 --> 00:41:55,800
Speaker 6: of The Daily Wire.

860
00:41:55,840 --> 00:41:57,120
Speaker 3: Ben. Welcome to the program.

861
00:41:57,440 --> 00:41:58,759
Speaker 1: Hey, Charlie, thanks much for having me.

862
00:41:58,760 --> 00:41:59,400
Speaker 3: Really appreciate it.

863
00:42:01,320 --> 00:42:03,760
Speaker 6: So Ben, I'm gonna just say the floor is yours.

864
00:42:04,239 --> 00:42:06,440
Speaker 6: For some people that have not been following this with

865
00:42:06,520 --> 00:42:09,840
Speaker 6: great detail, this might make them kind of take a second,

866
00:42:10,200 --> 00:42:12,879
Speaker 6: like a little pause in a second beat. Why are

867
00:42:12,920 --> 00:42:16,200
Speaker 6: you advocating for Derek Chauvin's pardon and what have you

868
00:42:16,400 --> 00:42:19,760
Speaker 6: learned the course of your research, in your rigorous pursuit

869
00:42:19,800 --> 00:42:22,239
Speaker 6: of the truth that has led you to this advocacy.

870
00:42:23,320 --> 00:42:24,880
Speaker 5: Well, I think the reason that I'm advocating for the

871
00:42:24,880 --> 00:42:26,920
Speaker 5: pardon is because Derek Shauven is not guilty. And I

872
00:42:26,920 --> 00:42:29,640
Speaker 5: think that it's very important to explode narratives like the

873
00:42:29,640 --> 00:42:32,399
Speaker 5: one that you were talking about, because those narratives live

874
00:42:32,440 --> 00:42:34,680
Speaker 5: on in our memory as sort of flash points that

875
00:42:34,719 --> 00:42:38,720
Speaker 5: people draw upon as evidence of narratives that are false.

876
00:42:38,760 --> 00:42:42,600
Speaker 5: So the narrative that surrounded the Floyd Chauvin killing was

877
00:42:42,719 --> 00:42:46,000
Speaker 5: the narrative that America was inherently racist. Now, those allegations

878
00:42:46,000 --> 00:42:47,640
Speaker 5: were never actually made a trial. There was never any

879
00:42:47,680 --> 00:42:50,480
Speaker 5: allegation by prosecutors or by anyone that Derek Chauvin quote

880
00:42:50,520 --> 00:42:53,239
Speaker 5: unquote killed George Floyd because George Floyd was black.

881
00:42:53,239 --> 00:42:54,200
Speaker 3: And yet that was the narrative.

882
00:42:54,280 --> 00:42:55,600
Speaker 1: It burst out all over the country.

883
00:42:55,600 --> 00:42:58,520
Speaker 5: The systemic American policing was racist, that America had to

884
00:42:58,560 --> 00:43:01,640
Speaker 5: undergo a sort of racial cleansing process that allowed for

885
00:43:01,640 --> 00:43:04,520
Speaker 5: two billion dollars in rioting, in fact, a process that

886
00:43:04,680 --> 00:43:07,399
Speaker 5: was so important that even if COVID was spreading around,

887
00:43:07,440 --> 00:43:09,000
Speaker 5: you were allowed to take off your mask and shout

888
00:43:09,040 --> 00:43:11,360
Speaker 5: in the streets for George Floyd and you would somehow

889
00:43:11,440 --> 00:43:13,799
Speaker 5: be free of COVID for doing all of these things.

890
00:43:13,800 --> 00:43:14,600
Speaker 3: We all remember this.

891
00:43:14,800 --> 00:43:17,120
Speaker 5: It was really a quite terrible time in American history,

892
00:43:17,120 --> 00:43:19,920
Speaker 5: and it was being excused by the entire left, all

893
00:43:19,920 --> 00:43:21,799
Speaker 5: of the legacy media. And in fact, if you didn't

894
00:43:21,800 --> 00:43:24,120
Speaker 5: post the black square in favor of Black Lives Matter.

895
00:43:24,360 --> 00:43:28,600
Speaker 5: You are basically non personed in terms of social media

896
00:43:28,880 --> 00:43:32,319
Speaker 5: and the way that you were approached in all these spaces. Now,

897
00:43:32,360 --> 00:43:36,359
Speaker 5: the reality of this particular death is now known, and

898
00:43:36,400 --> 00:43:38,520
Speaker 5: we know pretty much everything there is to know about it,

899
00:43:38,640 --> 00:43:40,799
Speaker 5: and there are a bunch of reasons why Derek Chauvin

900
00:43:40,840 --> 00:43:43,400
Speaker 5: should be parted. By the way, while in federal custody,

901
00:43:43,440 --> 00:43:46,560
Speaker 5: he was stabbed recently twenty one times by fellow inmates,

902
00:43:46,560 --> 00:43:50,080
Speaker 5: so it's quite dangerous for him. The reason why we

903
00:43:50,400 --> 00:43:52,319
Speaker 5: now know all of this is because we know from

904
00:43:52,400 --> 00:43:54,760
Speaker 5: jurors that they were pressured, that they felt the pressure,

905
00:43:54,800 --> 00:43:57,640
Speaker 5: that they were scared to rule in favor of Derek Chauvin.

906
00:43:58,600 --> 00:44:00,600
Speaker 3: We now know, and we could see.

907
00:44:00,440 --> 00:44:01,920
Speaker 5: It at the time, the amount of public pressure that

908
00:44:02,000 --> 00:44:05,399
Speaker 5: was brought in that particular case. The mayor of Minneapolis

909
00:44:05,400 --> 00:44:07,480
Speaker 5: was signing settlements with the family of George Floyd on

910
00:44:07,520 --> 00:44:09,240
Speaker 5: behalf of the city in the middle of the trial.

911
00:44:09,640 --> 00:44:12,040
Speaker 5: The governor of Minnesota at the time was, of course

912
00:44:12,040 --> 00:44:14,880
Speaker 5: Tim Walls, and Tim Walls was basically out there proclaiming

913
00:44:14,920 --> 00:44:18,440
Speaker 5: the guilt of Derek Chauvin. Joe Biden was running for

914
00:44:18,440 --> 00:44:20,799
Speaker 5: president at the time of twenty twenty, and he and

915
00:44:20,840 --> 00:44:23,759
Speaker 5: the rest of the Democratic regime were talking about how

916
00:44:23,840 --> 00:44:26,640
Speaker 5: Derek Chauvin was, how this was a key flashpoint in

917
00:44:26,680 --> 00:44:29,600
Speaker 5: American history, and how this was demonstrating sort of the

918
00:44:29,640 --> 00:44:32,920
Speaker 5: apex moment of all of American racism contains in this

919
00:44:32,960 --> 00:44:36,960
Speaker 5: particular incident. So, first, the first clue that this was

920
00:44:37,200 --> 00:44:39,600
Speaker 5: not true came, I think from that from the fact

921
00:44:39,600 --> 00:44:41,480
Speaker 5: that it was deemed an incident of American racism, and

922
00:44:41,560 --> 00:44:42,960
Speaker 5: never did anyone ever make a claim.

923
00:44:43,000 --> 00:44:44,440
Speaker 1: They were not even federal hate crime charges.

924
00:44:44,640 --> 00:44:47,440
Speaker 5: There was no claim that Derek Chauvin quote unquote killed

925
00:44:47,440 --> 00:44:49,440
Speaker 5: George Floyd because he was racist. Then you start to

926
00:44:49,440 --> 00:44:52,600
Speaker 5: look more into the details of the actual death of

927
00:44:52,640 --> 00:44:56,279
Speaker 5: George Floyd. Everything from the autopsy report, the original medical

928
00:44:56,320 --> 00:45:00,120
Speaker 5: examiner autopsy report suggested that he had died not of

929
00:45:00,960 --> 00:45:04,279
Speaker 5: failure to breathe because of pressure put on him, but

930
00:45:04,360 --> 00:45:07,239
Speaker 5: effectively of excited delirium fentanyl overdose. The idea in the

931
00:45:07,280 --> 00:45:09,800
Speaker 5: actual autopsy report suggested that he had enough fentanyl in

932
00:45:09,920 --> 00:45:11,800
Speaker 5: him that if he had just found this body on

933
00:45:11,840 --> 00:45:14,320
Speaker 5: a sidewalk, the medical examiner, then he would have immediately

934
00:45:14,440 --> 00:45:17,120
Speaker 5: determined that he had died of fentanyl overdose. We know

935
00:45:17,440 --> 00:45:19,640
Speaker 5: from the actual tape, So there were sections of the

936
00:45:19,680 --> 00:45:22,239
Speaker 5: tape that people thought they saw the eight minutes or

937
00:45:22,280 --> 00:45:25,160
Speaker 5: four minutes of the eight minute tape, and then.

938
00:45:25,080 --> 00:45:26,200
Speaker 1: There was a lot of tape before that.

939
00:45:26,520 --> 00:45:29,640
Speaker 5: So if you actually look at the incident in its entirety,

940
00:45:29,680 --> 00:45:31,960
Speaker 5: what you found out is that George Floyd was in

941
00:45:32,000 --> 00:45:34,080
Speaker 5: a car outside of a place of business where he

942
00:45:34,120 --> 00:45:36,759
Speaker 5: had passed a counterfit bill and the police came and

943
00:45:36,840 --> 00:45:39,600
Speaker 5: arrived was Derek Chauvin and the rest of the members

944
00:45:39,600 --> 00:45:43,040
Speaker 5: of the officers who were there, and Derek Chauvin arrested

945
00:45:43,040 --> 00:45:47,160
Speaker 5: George Floyd, and it appears that George Floyd either ingested

946
00:45:47,200 --> 00:45:49,719
Speaker 5: drugs that were on him or he was already high.

947
00:45:50,280 --> 00:45:51,839
Speaker 3: The reason that he might.

948
00:45:51,719 --> 00:45:53,880
Speaker 5: Have jested drugs is because literally a few years before,

949
00:45:53,880 --> 00:45:56,239
Speaker 5: we also have a videotape of George Floyd doing exactly that.

950
00:45:56,280 --> 00:45:59,160
Speaker 5: He was arrested and the Allstar had to force him

951
00:45:59,200 --> 00:46:02,040
Speaker 5: to spit out the drugs. They arrest him, they take

952
00:46:02,120 --> 00:46:04,080
Speaker 5: him out of his vehicle, they put him into the

953
00:46:04,160 --> 00:46:06,520
Speaker 5: vehicle of the police officers, and a crowd is already

954
00:46:06,520 --> 00:46:09,160
Speaker 5: gathering because this very often happens when there's a controversial

955
00:46:09,320 --> 00:46:12,359
Speaker 5: police procedure that's happening, and George Floyd is put into

956
00:46:12,360 --> 00:46:14,120
Speaker 5: the back of the police vehicle.

957
00:46:14,440 --> 00:46:15,239
Speaker 3: He doesn't want to get in.

958
00:46:15,280 --> 00:46:18,840
Speaker 5: He's complaining, he's saying that he's scared of being in

959
00:46:18,880 --> 00:46:20,600
Speaker 5: the car, that he's claustrophobic, and all the rest of

960
00:46:20,600 --> 00:46:23,399
Speaker 5: this kind of stuff. He gets in and immediately upon

961
00:46:23,520 --> 00:46:26,319
Speaker 5: entering the car, he starts shouting that he can't breathe.

962
00:46:26,480 --> 00:46:28,880
Speaker 5: Before he's on the ground, right, I can't breathe became

963
00:46:28,960 --> 00:46:30,960
Speaker 5: sort of the matter of the moment, the phrase of

964
00:46:30,960 --> 00:46:33,840
Speaker 5: the moment, people chanting I can't breathe in homage to

965
00:46:33,880 --> 00:46:36,439
Speaker 5: George Floyd. He was saying he could not breathe from

966
00:46:36,480 --> 00:46:40,200
Speaker 5: when he was in the car, suggesting either that it

967
00:46:40,200 --> 00:46:42,640
Speaker 5: was untrue that he could actually breathe because normally if

968
00:46:42,640 --> 00:46:44,279
Speaker 5: you can talk, he can breathe, but or that he

969
00:46:44,360 --> 00:46:47,080
Speaker 5: was already having difficulty breathing based on the fact that

970
00:46:47,080 --> 00:46:48,520
Speaker 5: he had a very large chart, that he had a

971
00:46:48,560 --> 00:46:50,960
Speaker 5: lot of drugs in his system, and that he was

972
00:46:51,000 --> 00:46:53,319
Speaker 5: actually having a medical issue before he was actually taken

973
00:46:53,360 --> 00:46:55,200
Speaker 5: out of the car by the way at his request.

974
00:46:55,680 --> 00:46:57,280
Speaker 1: At his request, he said, I don't.

975
00:46:57,120 --> 00:46:58,560
Speaker 5: Want to be in the car, and so they said, okay,

976
00:46:58,560 --> 00:46:59,520
Speaker 5: So they took him out of the car and they

977
00:46:59,520 --> 00:47:02,160
Speaker 5: put him in position on the ground. Now, the Minneapolis

978
00:47:02,760 --> 00:47:06,200
Speaker 5: police training model includes the sort of position that Derek

979
00:47:06,280 --> 00:47:07,000
Speaker 5: Chauvin was using.

980
00:47:07,000 --> 00:47:08,600
Speaker 3: This was introduced at trial.

981
00:47:09,360 --> 00:47:12,160
Speaker 5: Derek Schauvin had been taught this by the Minneapolis Police Department.

982
00:47:12,440 --> 00:47:16,239
Speaker 5: There is a normal procedure. In fact, the much of

983
00:47:16,280 --> 00:47:18,759
Speaker 5: the tape of him on George Floyds quote unquote neck

984
00:47:19,000 --> 00:47:20,120
Speaker 5: from a different angle is him.

985
00:47:20,040 --> 00:47:21,040
Speaker 1: On George Floyd's shoulder.

986
00:47:21,080 --> 00:47:24,400
Speaker 5: This was admitted by witnesses for the for the prosecution

987
00:47:25,000 --> 00:47:27,600
Speaker 5: that some of that time he was on George Floyd's shoulder. Now,

988
00:47:27,640 --> 00:47:31,480
Speaker 5: at some point during that eight minutes, George Floyd went nonresponsive.

989
00:47:31,920 --> 00:47:34,680
Speaker 5: It seems to be unclear to Chauvin when he was nonresponsive.

990
00:47:35,400 --> 00:47:38,239
Speaker 5: But there is no medical evidence that, for example, there

991
00:47:38,239 --> 00:47:39,840
Speaker 5: was damage to his trache yet which would cut off

992
00:47:39,880 --> 00:47:43,600
Speaker 5: the air. There is the there was no bruising on

993
00:47:43,680 --> 00:47:46,720
Speaker 5: his neck. So the autopsy and medical reports suggested again

994
00:47:47,360 --> 00:47:49,920
Speaker 5: that at best, there is certainly reasonable doubt that he

995
00:47:50,000 --> 00:47:53,760
Speaker 5: died because of the suppression technique, specifically that Derek Chauvin

996
00:47:54,239 --> 00:48:02,520
Speaker 5: was using