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Speaker 1: You're listening to the Fuck Sexton Show podcast, make sure

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Speaker 1: you subscribe to the podcast on the iHeartRadio app or

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Speaker 1: wherever you get your podcasts. Hey, Team, Buck Mike Slater

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Speaker 1: in San Diego, filling in here in the Freedom Hut.

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Speaker 1: It's wonderful to be here. Thanks for having In this hour,

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Speaker 1: we're gonna talk about the truth behind hate crimes and

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Speaker 1: the moral panic that are elites that are better as

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Speaker 1: our superiors are well unfortunately successfully creating in our country.

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Speaker 1: But we got to fight back against it. And the

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Speaker 1: only way to do that, well, the first thing we

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Speaker 1: need to do is to know the truth and get

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Speaker 1: the true perspective, because once you have perspective, then you

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Speaker 1: can bring peace not only to yourself but to those

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Speaker 1: your data today. Eighteen Buck Mike Slater in San Diego,

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Speaker 1: filling in for the Great Buck Sexton. It's an honor

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Speaker 1: to be here. I want to talk about moral panics.

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Speaker 1: That's going to be the theme of the show today.

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Speaker 1: We'll start off with this Brocco. He said this the

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Speaker 1: other day. This is in relationship, in reaction to the

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Speaker 1: mass shootings from the last couple weeks. He said, we

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Speaker 1: should be able, Barack Obama, we should be able to

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Speaker 1: live our lives without wondering if the next trip outside

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Speaker 1: our home could be our last. We should, But in

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Speaker 1: America we can't. Like, oh jeez, oh, my betters, that's hysterical.

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Speaker 1: That that reminds me of Lebron James. Remember Lebron James.

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Speaker 1: While back he said he's scared to leave his house.

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Speaker 1: He said, he said, you are literally being hunted. That's

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Speaker 1: what he said. He said, you're being hunted every time

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Speaker 1: you step foot outside your home. That is hysterical, That is,

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Speaker 1: there is zero relation to reality at all. I'll just

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Speaker 1: so let's do a couple numbers. We're gonna throw some

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Speaker 1: numbers here on the radio. Numbers are kind of hard

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Speaker 1: on the radio, so we'll do the best we can here.

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Speaker 1: Just number of black people. This is two thousand and sixteen.

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Speaker 1: Number of black people killed in car crashes, six thousand

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Speaker 1: and seven hundred. Number of black people killed by other

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Speaker 1: black people, two thousand, five hundred and seventy number of

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Speaker 1: black people killed by white people, two hundred and forty three.

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Speaker 1: Number of black people killed by cops. Because that's what

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Speaker 1: Lebron James was talking about. Eighteen A number of black

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Speaker 1: people in twenty sixteen struck by lightning ninety six. You

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Speaker 1: have a far greater likelihood of being struck by lightning

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Speaker 1: if you're black in America than you do being killed

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Speaker 1: by a police officer. Yet Lebron James says, you're being hunted.

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Speaker 1: You're literally being hunted when you step foot out your

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Speaker 1: own Barack Obama saying it's it's not safe to go outside.

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Speaker 1: That is just whipping people up. That's causing chaos and

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Speaker 1: anxiety and division. So let's get some truth. Let's give

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Speaker 1: some truth. Your chance of being murdered in America one

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Speaker 1: in twenty thousand. Stay out of the drug trade, and

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Speaker 1: your chances are even better of not getting murdered. And

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Speaker 1: most murders occur with people between people who know each other,

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Speaker 1: and most murders actually occur in the home. Now when

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Speaker 1: you step foot out of them. Mass shootings are even

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Speaker 1: more rare. And that's the context of what Barack Obama

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Speaker 1: was talking about. The mass shootings. You have as close

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Speaker 1: to a zero percent chance of dying in a mass

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Speaker 1: murder as possible. About fifty people a year are killed

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Speaker 1: in mass shootings, so you have a one in six

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Speaker 1: point six million chance of being killed in a mass

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Speaker 1: shooting in a given year. And Barack Obama, the former president,

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Speaker 1: is telling people that you should be scared to go outside.

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Speaker 1: It could be your last It could be your last

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Speaker 1: time you ever to go outside and say goodbody or fan. No,

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Speaker 1: that's absurd, that's absolute nonsense. Now. The reason he's saying now,

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Speaker 1: it was a couple of reasons. In the third hour,

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Speaker 1: we're gonna talk about moral panics, and in the exact

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Speaker 1: format of a moral panic, and the very quick of

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Speaker 1: it is an event happens the media and politicians whip

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Speaker 1: people up into a frenzy. Third step is people get

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Speaker 1: super anxious and freak out panic. And then the fourth

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Speaker 1: is the government swoops in to save the day. That's

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Speaker 1: always the final step, even though usually they're the ones

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Speaker 1: who cause the problem in the first place. Almost always so.

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Speaker 1: The reason Barack Obama is telling you this that you

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Speaker 1: should be scared to go outside, is to create the

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Speaker 1: illusion that America is terrible. America is evil, America is

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Speaker 1: rotten to its core, America is an awful place. You

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Speaker 1: should be scared to go outside. That causes people to

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Speaker 1: be in a panic. And then the government can swoop

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Speaker 1: in and say, hey, it's okay, you're scared. You're scared.

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Speaker 1: You shouldn't be scared. What a shame that you scared.

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Speaker 1: You know what, I can fix it. Let's just hand

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Speaker 1: over all the guns. Go ahead, just just give just

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Speaker 1: hand over all the guns to me, or give me

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Speaker 1: the authority to take guns from people, and then we'll

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Speaker 1: solve this, and then you don't have to be scared anymore,

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Speaker 1: and all this panic can just go away. That's how

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Speaker 1: that works. You see it now. In a little bit

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Speaker 1: of Barack Obama's defense, he did live in Chicago where

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Speaker 1: last weekend fifteen people were shot and three people were killed.

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Speaker 1: But we don't talk about that because you can't blame

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Speaker 1: white supremacy for that, and you can't blame Trump, although

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Speaker 1: I'm sure there's some people can find some convoluted way.

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Speaker 1: Did you just then? I got some numbers here on

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Speaker 1: interracial crimes, so we just keep his party going. So

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Speaker 1: it's numbers are about the same every every year. I mean,

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Speaker 1: I have the exact numbers here from the FBI. I

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Speaker 1: love that. I'm gonna share this right here, and I

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Speaker 1: know these people are gonna say an email and they're like,

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Speaker 1: who's this slater guy comment in from San Diego filling

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Speaker 1: it for block sex and thinks he can blah blah

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Speaker 1: blah or whatever. I'm gonna get them. It's fine. These

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Speaker 1: the FBI statistics. I don't know what to tell you

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Speaker 1: if you're upset about it. So I'll be gonna round

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Speaker 1: the numbers because they're about the same every year. I mean,

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Speaker 1: it's five hundred and seventy six is the actual number,

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Speaker 1: but about five hundred and fifty black people kill a

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Speaker 1: white person every year. So five hund fifty black people

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Speaker 1: kill five and fifty white people, and it's two hundred

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Speaker 1: and fifty white people killed two hundred and fifty black

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Speaker 1: people every year. So it's much more likely that a

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Speaker 1: black person kills a white person than a white person

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Speaker 1: kills a black person. Now, I know that upsets people,

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Speaker 1: but I share this because the perception is the exact opposite. Mean,

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Speaker 1: look at Lebron James, Lebron James bronck up. I don't like,

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Speaker 1: what's crazy? This is so well the former president and

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Speaker 1: Lebron James talk about how they're gonna get killed by

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Speaker 1: white people. He can't even go outside. And I come

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Speaker 1: on the radio and I say, well, actually, here's the numbers,

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Speaker 1: and it's you're way more likely. It's it is more

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Speaker 1: likely that a black person kills a white person than

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Speaker 1: what you're saying. It is all racist. Say, oh, listen,

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Speaker 1: I didn't even bring it up. Like crime is awful,

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Speaker 1: like no one should kill anyone. I don't know what

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Speaker 1: we're right, but I'm just trying to bring some perspective

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Speaker 1: in truth and therefore peace to the situation that this

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Speaker 1: is a crime problem, not a race problem. But perception matters,

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Speaker 1: because when your perceptions all messed up, you're not even

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Speaker 1: you're not even in your right mind. One of my

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Speaker 1: favorite questions that people do surveys on his perspective related questions.

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Speaker 1: So this one just came out a couple of weeks ago.

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Speaker 1: They asked people how many unarmed black men are killed

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Speaker 1: by police officers every year? So I'll ask you how

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Speaker 1: many unarmed black men are killed by police officers every year?

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Speaker 1: What do you think? What? Just give it a ball

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Speaker 1: park number, how many unarmed black men are killed by

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Speaker 1: police officers every year? Take a stab at him, take

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Speaker 1: a shot at it. Forty one percent of liberals and

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Speaker 1: they broke it down based off of your political leanings, man,

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Speaker 1: forty one percent of liberals believe it's over a thousand.

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Speaker 1: Over a thousand unarmed black men are killed by police

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Speaker 1: every year. It's like three a day, the truth, But

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Speaker 1: thirteen or so, thirteen twenty eighteen, there was thirteen that's

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Speaker 1: very different, and then over a thousand. But you see

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Speaker 1: what politician and media led moral panics can do. It

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Speaker 1: can cause you to cut have wildly wrong perceptions, and

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Speaker 1: then people freak out and then we end up making

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Speaker 1: really bad policy, if nothing else, but also bad cultural movements.

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Speaker 1: People scared to go outside and there's no reason for it.

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Speaker 1: I got one just from example from from yesterday. Example

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Speaker 1: from yesterday Richard Bluemanthal Senator from Connecticut. He said that

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Speaker 1: eight children every day are killed from guns that are

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Speaker 1: stored unsafely. He was blaming Republicans for the mass shootings.

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Speaker 1: He was blaming Ted Cruz specifically for ducking responsibility. He's complicity.

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Speaker 1: He said, Ted Cruise is complicit in all these shootings.

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Speaker 1: And he said eight children are day, are lost every

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Speaker 1: day from guns that are stored unsafely. I heard that,

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Speaker 1: I thought, what in the world he's talking about like that.

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Speaker 1: There's no way that's true. So I did some research

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Speaker 1: on where he got that. He got that from the

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Speaker 1: Brady Campaign. I think it's it's probably the biggest anti

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Speaker 1: gun group in the country. And I found the website

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Speaker 1: where they talk about this. They called family Fire and

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Speaker 1: it's not true. It's not true. It's seventy kids a

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Speaker 1: year are killed by accidental discharge, which is not eight

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Speaker 1: a day, it's more like one every five days. That's

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Speaker 1: a huge difference. Now seventies too many. Everyone should do

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Speaker 1: a better job of storing their guns properly and teaching

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Speaker 1: kids not to touch guns, not to play with guns,

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Speaker 1: use protected act as if every gun's loaded. We like,

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Speaker 1: we know the rules, and people need to do a

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Speaker 1: better job of being a gun owner, no doubt about that.

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Speaker 1: But one kid shot killed every five days from accidental discharge.

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Speaker 1: It's very different than eight a day and would therefore

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Speaker 1: create very different reactions. But that's Richard Blumenthal's point, right.

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Speaker 1: He wants people to be at a panic and freak

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Speaker 1: out so that they can come to the rescue and

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Speaker 1: save the day by taking guns away from people. So

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Speaker 1: what's the problem with these lies? Just yesterday I read

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Speaker 1: First Corinthians fourteen four and talked about how God is

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Speaker 1: not a god of confusion, but he's a god of peace.

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Speaker 1: And First Corinthians fourteen forty it says, but all things

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Speaker 1: should be done decently and in order, in order. And

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Speaker 1: if you do a study on the word order throughout

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Speaker 1: the Bible, God is order. God is order, He is clarity,

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Speaker 1: God is peace. And when you spout off wildly inaccurate

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Speaker 1: numbers and create these moral panics that have no relationship

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Speaker 1: to reality whatsoever. You're not you're not acting decently, and

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Speaker 1: you're not creating order, creating confusion, panic and division. Watch

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Speaker 1: out for people who are doing that. Mike later in

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Speaker 1: San Diego, filling it for the Great Buck Sexton. Mikes later,

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Speaker 1: it's brother word, what's going on? Team Buck? Mikes later

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Speaker 1: in San Diego, filling it for the Great Buck Sexton.

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Speaker 1: Super grateful you're here. Oh please don't turn there. I

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Speaker 1: know listen when I tune into my favorite show and

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Speaker 1: my guy's not there, I am tempted to tune the

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Speaker 1: radio off as well. But give this segment a chance.

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Speaker 1: I think you'll like it. I want to talk about

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Speaker 1: anti Asian hate crimes. There is no anti Asian hate

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Speaker 1: crime epidemic, does not exist, not a thing. But after

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Speaker 1: the shooting a couple weeks ago in Georgia, that instantly

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Speaker 1: became the narrative from the media. I know Buck talks

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Speaker 1: to a lot about that. So we'll get some truth

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Speaker 1: here as if it matters. Truth doesn't matter, just truth

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Speaker 1: even matter in our post truth world. Again, the Four

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Speaker 1: stages of a moral panic. You think we know better

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Speaker 1: by now, You think the American people would be Why

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Speaker 1: wised up when we see these moral panics coming after

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Speaker 1: COVID and after George Floyd, and we need to knock

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Speaker 1: it off with these already. There's four stages to a

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Speaker 1: moral panic. First, something happens, so the bad happens. Second,

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Speaker 1: the media inflames it and makes villains and victims. Third,

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Speaker 1: people get anxious and panic, and then fourth the government

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Speaker 1: comes in and fixes it. So in Georgia we have

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Speaker 1: this sex addict psycho who was kicked out of his

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Speaker 1: house or being a sex addict, and this whole thing

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Speaker 1: killed eight people, six of them Asian, in that massage parlor.

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Speaker 1: For some reason, we have this like drive to figure

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Speaker 1: out the inner thoughts of a psychotic mass murderer. Like,

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Speaker 1: I don't know why we do that. Can you even

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Speaker 1: begin to fathom how deprave do you have to be

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Speaker 1: to go randomly kill a bunch of people? I can't,

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Speaker 1: But if you want to look into the psyche and

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Speaker 1: find a motive. Police asked him if it had anything

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Speaker 1: to do with race, and he said no, Like, well,

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Speaker 1: what are we doing it if it did? If he

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Speaker 1: if he was like, I hate Asians, I'm gonna kill

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Speaker 1: a bunch of Asians. And then he did, and police said, hey,

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Speaker 1: why did you do it. You think he'd say, oh,

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Speaker 1: because I hate Asians, but he didn't say. He said no,

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Speaker 1: I did nothing to do with race. But that didn't

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Speaker 1: stop the media. Here's a key with people who are

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Speaker 1: trying to inflame moral panics. Here's how you know or

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Speaker 1: one way when they just tell you in a percent

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Speaker 1: increase in something without giving you the raw number. So

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Speaker 1: the La Times wrote an article and they said there's

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Speaker 1: a historic rise of hate crimes. Thirty three percent increase

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Speaker 1: in hate crimes against Asians in Seattle last year thirty

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Speaker 1: three percent. People like, oh wow, thirty three percent. That's terrible.

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Speaker 1: What they don't tell you is that that is an

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Speaker 1: increase of from nine to twelve, which isn't right. I

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Speaker 1: feel like they put that in there that would negate

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Speaker 1: the entire posterics of the article. Whatever, I hate crime

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Speaker 1: even is right, so defined differently and right. It's a

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Speaker 1: silly thing even to have crimes a crime. So something happens,

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Speaker 1: the media fits it into a narrative. In this case,

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Speaker 1: you know, white supremacy. It always is. Third the panic

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Speaker 1: La Times headline pepper Spray, Instagram and Buddy Systems how

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Speaker 1: Asian Americans are dealing with attacks, and it talks about

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Speaker 1: how people are buying a pepper spray in bulk. They're

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Speaker 1: buying what do you do with bulk pepper spray? Should

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Speaker 1: you imagine buying like like a fire extinguisher full of

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Speaker 1: pepper spray? Like, what are you gonna do with that?

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Speaker 1: You just walk around preemptively shoot it in front of

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Speaker 1: you wherever you go. So it just talks about this

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Speaker 1: article in the La Times about all these these people

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Speaker 1: who have they they're panicking. Thirty one year old guy,

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Speaker 1: Vietnamese guys talking about how he's got to make sure

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Speaker 1: his batteries always charged so we can video the inevitable

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Speaker 1: hate crime that's coming his way. And one woman said

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Speaker 1: that you're carrying this feeling of inevitability. She says, I

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Speaker 1: can barely get out of bed. You can't live your

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Speaker 1: life on guard like this all the time, and I

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Speaker 1: don't know what I'm gonna do, and I can't leave

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Speaker 1: my house alone. It's like, wow, that is entirely irrational.

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Speaker 1: You've maybe heard the line that there's been a one

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Speaker 1: hundred forty nine percent increase in hate crimes across the country.

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Speaker 1: One hundred forty nine percent increase. Again, without giving you

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Speaker 1: the raw numbers, that's from forty nine to one hundred

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Speaker 1: and twelve. One hundred and twelve. That's what we're talking

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Speaker 1: about here again, one hundred twelve too many? But is

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Speaker 1: that worth buying pepper spray and bulk and living constantly

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Speaker 1: on guard to the point where you can't get out

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Speaker 1: of your bed undred twelve. There's nineteen million Asians in

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Speaker 1: this country, nineteen million, there's one hundred and twelve hate crimes.

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Speaker 1: That's a moral panic. But then the government swoops in

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Speaker 1: saves the day. At least they say they're gonna save

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Speaker 1: the day. They always end up making things worse. By

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Speaker 1: the way, isn't it interesting Kamala Harris is now all

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Speaker 1: of a sudden, our first Asian vice president, Like I've

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Speaker 1: never heard that ever until last week. Her mom's from India,

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Speaker 1: so she gets it. She can fix it. I mean,

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Speaker 1: she understands what it's like to be an Asian American

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Speaker 1: or something. So the government's gonna fix it. But the

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Speaker 1: government actually caused all this, I mean How did the

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Speaker 1: government cause these bad things to happen? Where are these

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Speaker 1: hate crimes taking place? La Times? I might be dead

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Speaker 1: right now Asian man describes brutal attack on San Francisco street.

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Speaker 1: These crimes will taken place in San Francisco, in LA

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Speaker 1: in New York, not exactly Trump Bastion's Trumps strongholds. So

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Speaker 1: what's happened in San Francisco? In La California? We have

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Speaker 1: something called Prop forty seven, maybe past six or eight

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Speaker 1: years ago. So like that, it lowers felonies, many felonies

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Speaker 1: down to misdemeanors. So these people used to be getting arrested,

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Speaker 1: they're not getting arrested anymore. To keep it on the streets,

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Speaker 1: there was an attack in a laundrymat. Three fine gentlemen

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Speaker 1: attacked those Asian guys sitting inside a laundromat, just came

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Speaker 1: in cole cocked him from behind and took his money.

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Speaker 1: Those guys were connected. They were caught and connected to

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Speaker 1: eight car burglaries in San Francisco. Shockingly, if you keep

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Speaker 1: criminals on the street, you get more crime. So you

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Speaker 1: have Prop forty seven, we have COVID, we've in California,

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Speaker 1: we've emptied out our prisons and jails, or I should

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Speaker 1: say our jail. So we just let these criminals out

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Speaker 1: on the street, because heaven forbid they get COVID in jail.

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Speaker 1: San Francisco just last year elected a straight up Marxist

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Speaker 1: as their DA. And I'm not like, that's not an insult.

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Speaker 1: I'm not like he's self proclaimed high I'm chez a Boudine.

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Speaker 1: I'm a Marxist. I used to work for Hugo Shabaz

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Speaker 1: in Venezuela. Vote for me, and I won't prosecute crime

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Speaker 1: like that's that was his whole thing. LA Times wrote

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Speaker 1: a story about two Asians who are randomly knocked over

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Speaker 1: on the sidewalk for no reason. The attacker is named

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Speaker 1: Jorge Devis Milton. Black guy goes by Yah Yam Muslim

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Speaker 1: who has two prior felony assault convictions. Do you think

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Speaker 1: that guy was motivated by Donald Trump calling it the

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Speaker 1: China virus one attack in San Francisco made news because

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Speaker 1: this guy attacked a ninety one year old lady and

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Speaker 1: she beat him up. It was a crazy homeless guy.

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Speaker 1: Is that Trump's fault? Story in Oakland a racist tirade

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Speaker 1: against an Asian gas station owner. I got the video

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Speaker 1: of it. The guys was a Muslim guy, these Arabic

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Speaker 1: bumper stickers on the back of his car. He wanted

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Speaker 1: to pay for his gas and quarters and got mad

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Speaker 1: when the owner wouldn't let him. Is that Trump's fault?

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Speaker 1: We got to be very careful these moral panics, because

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Speaker 1: there are people who are making a lot of money

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Speaker 1: and getting a lot of power by sweeping you and me,

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Speaker 1: trying to sweep you and me up in them and

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Speaker 1: no longer. Mike Slater in San Diego filling it for

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Speaker 1: the Great Buck Sexton, spread the word. What's going on?

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Speaker 1: Team Buck? Mike Slatter and San Diego filling in for

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Speaker 1: the Great Bucks Sexton. Thanks for being here. Truth and

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Speaker 1: you know Bucks talks about this all the time. Truth

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Speaker 1: doesn't matter. Unfortunately, of course it does. But in our

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Speaker 1: society today, so many people just doesn't. Duke University, someone

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Speaker 1: posted on a campus bulletin board George Floyd's toxicology report.

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Speaker 1: Now listen. We could talk about if that's the most

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Speaker 1: effective way to get a message across, but Duke has

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Speaker 1: issued now an investigation into it. This is the Dean

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Speaker 1: of students. We are completely aligned with the idea that

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Speaker 1: a person who causes harm to others in this community

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Speaker 1: and elsewhere should be held accountable. Causes harm, what's the

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Speaker 1: what's the harm that was caused? We don't have a

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Speaker 1: picture of it, but the student newspaper said each and

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Speaker 1: on this the document that was posted on the bolton board,

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Speaker 1: each compound listed on the toxicology part was underlined with

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Speaker 1: a pink pen, and the person wrote notes across the

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Speaker 1: top of the page insinuating that Floyd was responsible for

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Speaker 1: his own death. Therefore, we need an investigation. Who dare

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Speaker 1: post the official toxicology report? Maybe I need a quick

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Speaker 1: sidebar here. The jury selection is going on right now

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Speaker 1: for George Floyd. The trial starts in just a few

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Speaker 1: days here opening statements, I think on the thirty first,

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Speaker 1: and it's going to be a horrible time for this country.

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Speaker 1: It's all televised, and it's very likely, very like I mean,

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Speaker 1: obviously there's a very biased jury. It's all about jury selection.

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Speaker 1: I mean, everyone knows about the case. It's I don't

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Speaker 1: know how, don't know how they're going to get an

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Speaker 1: unbiased jury in downtown Minneapolis. But if you look at

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Speaker 1: the evidence, and only the evidence, then it is very

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Speaker 1: likely that Derek Chaffin would be found not guilty and

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Speaker 1: acquitted and be let free. And if that happens, then

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Speaker 1: get ready for every city in this country to be

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Speaker 1: burned to the ground. It is going to be a

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Speaker 1: very bad time for this country when this trial is over,

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Speaker 1: because most people, and even the trial itself. During the trial,

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Speaker 1: most people don't know anything that they just saw the

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Speaker 1: video and it's it. Most people don't know anything about

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Speaker 1: what's going to be revealed through this trial, including the

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Speaker 1: toxicology report that he had three times the lethal amount

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Speaker 1: of fentonel in his system. I think whoever posted the

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Speaker 1: toxicology report the point was. His point was that this

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Speaker 1: information is not being shared. That people don't know this truth.

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Speaker 1: People don't know the facts. People don't know the truth,

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Speaker 1: and you should know it. You should know. Wherever you

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Speaker 1: end up staying standing on the issue, right wherever you

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Speaker 1: end up, fine, but you should know that. The medical

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Speaker 1: examiner said that if they found George Floyd just dead somewhere,

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Speaker 1: they'd assumed that it was a drug overdose because he

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Speaker 1: had three times the lethal amount of fetanol in his system.

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Speaker 1: His lungs were two to three times the weight of

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Speaker 1: normal lungs because they were full of fluid because of

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Speaker 1: all the drugs. You should know that the medical examin

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Speaker 1: and you will know the country will know when this

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Speaker 1: comes out in the trial that the medical examiner found

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Speaker 1: that there was no sign of any injury to his

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Speaker 1: neck or no sign of restrictions to his airway. The

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Speaker 1: medical don't yell at me. The medical examiner concluded that

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Speaker 1: there was no pressure assigned to his neck that caused

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Speaker 1: him to not be able to breathe. So those are

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Speaker 1: the facts that that's what the medical examiner report says.

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Speaker 1: You can decide what to do with it, but people

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Speaker 1: should have that information, right. Apparently, if you post that

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Speaker 1: information at Duke, you're harming people and there needs to

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Speaker 1: be an investigation. I don't forbid what happens when they

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Speaker 1: find the person who posted it. Maybe kick him out

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Speaker 1: of school. Here's someone at Duke. H This person was

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Speaker 1: met with distasteful remarks that seem to invalidate my feelings

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Speaker 1: and experiences. Right, So it's all about I need that

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Speaker 1: you need to validate my feelings, you need to validate

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Speaker 1: my experience. Okay, but here's the Here is the toxicology report.

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Speaker 1: Here here is the medical No, no, no, those aren't feelings.

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Speaker 1: That's not my experience. Facts not allowed. I got video

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Speaker 1: here and we can't play it because the audio is

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Speaker 1: not good. But there's a high school teacher in Ohio

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Speaker 1: at a Catholic school. She was fired. She's the theology teacher.

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Speaker 1: One of the theology teachers, and one of the students

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Speaker 1: on their zoom class had a screenshot of like their

427
00:24:22,200 --> 00:24:25,440
Speaker 1: picture was of Lebron James whearing it I can't breathe shirt,

428
00:24:25,760 --> 00:24:28,200
Speaker 1: in reference to George Floyd, who, by the way, said

429
00:24:28,320 --> 00:24:31,720
Speaker 1: I can't breathe seven times before he was ever on

430
00:24:31,760 --> 00:24:34,439
Speaker 1: the ground. And that's because of what's called pulinary edema,

431
00:24:34,640 --> 00:24:36,600
Speaker 1: which is excess fluid in the lungs. That's why his

432
00:24:36,720 --> 00:24:39,640
Speaker 1: lungs weighed so much. That's caused by a drug overdose

433
00:24:39,640 --> 00:24:41,400
Speaker 1: before he was ever even on the ground. But again

434
00:24:41,440 --> 00:24:44,720
Speaker 1: that'll come out during the trial. Again, we don't have

435
00:24:44,720 --> 00:24:47,600
Speaker 1: the video here, but she we do with the video,

436
00:24:47,600 --> 00:24:49,640
Speaker 1: but you can't hear it, she says, the teacher does.

437
00:24:51,400 --> 00:24:53,960
Speaker 1: Regarding the I can't breathe, she says, that's just not

438
00:24:54,080 --> 00:25:00,600
Speaker 1: true and it perpetuates a myth against police. I'm not sure,

439
00:25:00,680 --> 00:25:02,680
Speaker 1: Lebron James is in the position to be disrespectful to

440
00:25:02,720 --> 00:25:05,720
Speaker 1: police officers, primarily because he probably doesn't go anywhere without

441
00:25:05,720 --> 00:25:09,840
Speaker 1: a bodyguard. And a student came back and said, did

442
00:25:09,880 --> 00:25:14,119
Speaker 1: you just say that it's disputed that George Floyd couldn't breathe?

443
00:25:15,880 --> 00:25:19,000
Speaker 1: And she says, yes, it's disputed, and the student says,

444
00:25:19,040 --> 00:25:21,520
Speaker 1: by who, just like a ghast by who? She says

445
00:25:21,600 --> 00:25:25,399
Speaker 1: the tape and the student is freaking out, and the

446
00:25:25,400 --> 00:25:29,800
Speaker 1: student says, did the medical examiner never mind? I'm sorry,

447
00:25:30,640 --> 00:25:33,160
Speaker 1: I'm gonna stay, I'm gonna say something that's gonna get

448
00:25:33,160 --> 00:25:39,280
Speaker 1: me in trouble, and then the teacher was fired because

449
00:25:39,320 --> 00:25:42,000
Speaker 1: of it. But the student didn't finish the thought. That's

450
00:25:42,040 --> 00:25:44,160
Speaker 1: what's interesting about this story. That student did not finish

451
00:25:44,240 --> 00:25:49,240
Speaker 1: that thought, right, she said, did the medical examiner? And

452
00:25:49,280 --> 00:25:53,240
Speaker 1: she didn't finish the thought because she probably never read

453
00:25:53,280 --> 00:25:58,920
Speaker 1: the medical report. She wanted to say something like, well,

454
00:25:58,960 --> 00:26:03,879
Speaker 1: didn't the medical examine say that he died from being strangled?

455
00:26:05,600 --> 00:26:07,280
Speaker 1: She wanted to say something like that, but the medical

456
00:26:07,320 --> 00:26:09,480
Speaker 1: examiner did not say that. In fact, to the opposite,

457
00:26:09,600 --> 00:26:12,800
Speaker 1: he said there was no sign of injury to his neck.

458
00:26:14,240 --> 00:26:16,359
Speaker 1: So she couldn't back it up with anything, so she

459
00:26:16,440 --> 00:26:20,200
Speaker 1: decided not to say anything, which is noble. Teachers still

460
00:26:20,200 --> 00:26:23,360
Speaker 1: gotten fired for it. And that's just the first of

461
00:26:23,600 --> 00:26:26,520
Speaker 1: many of these to come. Certainly, when the trial starts,

462
00:26:26,520 --> 00:26:29,239
Speaker 1: and listen, when the trial starts next week, all this

463
00:26:29,320 --> 00:26:32,560
Speaker 1: is going to come out. It's going to be a

464
00:26:32,600 --> 00:26:36,600
Speaker 1: wonderful lesson in human nature as to what people choose

465
00:26:36,640 --> 00:26:41,880
Speaker 1: to hear and choose to reject. This student didn't want

466
00:26:41,880 --> 00:26:45,800
Speaker 1: to hear anything too emotional. Don't want to hear facts.

467
00:26:45,800 --> 00:26:47,920
Speaker 1: You're not validating my feelings. That's the most important, the

468
00:26:47,920 --> 00:26:50,320
Speaker 1: feelings over facts. You got to validate my feelings over facts.

469
00:26:53,880 --> 00:26:57,600
Speaker 1: Even the idea that that's really been spread a lot

470
00:26:57,640 --> 00:26:59,600
Speaker 1: these last couple of days, that all mass shooters are

471
00:26:59,600 --> 00:27:02,400
Speaker 1: white men, because that was the big thing, like, oh,

472
00:27:02,440 --> 00:27:05,320
Speaker 1: another white guy killing this was in Colorado, Another white guy,

473
00:27:05,320 --> 00:27:07,680
Speaker 1: another white guy. Oh, I know he's white because the

474
00:27:07,680 --> 00:27:09,359
Speaker 1: police didn't kill him. If if it was a black guy,

475
00:27:09,359 --> 00:27:10,880
Speaker 1: they would have killed him. And it turns out he wasn't.

476
00:27:10,880 --> 00:27:14,760
Speaker 1: Why his name was a mod A Syria, some Syrian immigrant,

477
00:27:15,280 --> 00:27:19,560
Speaker 1: all right. So quickly the conversation pivoted to gun control

478
00:27:19,600 --> 00:27:22,399
Speaker 1: as opposed to white supremacy, and here we are. Biden

479
00:27:22,480 --> 00:27:24,800
Speaker 1: wanted to take away your guns again. But again, it

480
00:27:24,800 --> 00:27:27,080
Speaker 1: would push this whole narrative that all mass shooters are

481
00:27:27,080 --> 00:27:29,600
Speaker 1: white men, and that's not true. From nineteen eighty two

482
00:27:29,640 --> 00:27:31,680
Speaker 1: to two and twenty one, there were one hundred and

483
00:27:31,680 --> 00:27:34,560
Speaker 1: twenty one mass shooters. Nineteen eighty two to two two

484
00:27:34,920 --> 00:27:37,520
Speaker 1: twenty one, forty years, there's one hundred and twenty one

485
00:27:37,520 --> 00:27:41,920
Speaker 1: mass shooters. Sixty six were white. So about half white

486
00:27:41,920 --> 00:27:45,560
Speaker 1: people are seventy five percent of the country. So I mean,

487
00:27:45,560 --> 00:27:46,919
Speaker 1: we'll call it about right. I mean it said, it's

488
00:27:46,920 --> 00:27:50,320
Speaker 1: actually a lower proportion than right, but shut, we'll call

489
00:27:50,359 --> 00:27:55,440
Speaker 1: it half. So there are It's not all white. All

490
00:27:55,440 --> 00:27:57,440
Speaker 1: shooters are white men, All mass shooters are white man.

491
00:27:57,440 --> 00:28:01,720
Speaker 1: That's not true at all. But again, why are we

492
00:28:01,760 --> 00:28:07,639
Speaker 1: so obsessed with race? Why can't we get down and

493
00:28:07,680 --> 00:28:10,120
Speaker 1: talk about the things that are really at the root

494
00:28:10,160 --> 00:28:12,240
Speaker 1: of this. My favorite, one of my favorite quotes Henry

495
00:28:12,280 --> 00:28:15,119
Speaker 1: David Thureau. He said, there's thousands hacking at the branches

496
00:28:15,160 --> 00:28:20,720
Speaker 1: of evil for every one that strikes the root. Let

497
00:28:20,720 --> 00:28:22,359
Speaker 1: me play this sound clip right here. This is my

498
00:28:22,600 --> 00:28:25,399
Speaker 1: local show. The other day, we talked to Wilfred Riley.

499
00:28:25,560 --> 00:28:28,320
Speaker 1: He's a professor at Kentucky State. He's great. I think

500
00:28:28,359 --> 00:28:32,200
Speaker 1: he's the next generation's Thomas Soul. He's wonderful. I'm with

501
00:28:32,240 --> 00:28:33,960
Speaker 1: two clips I want to play from him. The first

502
00:28:34,000 --> 00:28:36,240
Speaker 1: I asked him about those Richard bluemanthal numbers that I

503
00:28:36,280 --> 00:28:38,640
Speaker 1: shared a second ago, where he said eight kids every

504
00:28:38,720 --> 00:28:42,320
Speaker 1: day are killed by accidental discharges, and that it's not

505
00:28:42,400 --> 00:28:44,840
Speaker 1: eight to day, it's one every five days, which is very,

506
00:28:44,920 --> 00:28:47,000
Speaker 1: very different. So I asked Hi about that, said, how

507
00:28:47,120 --> 00:28:50,640
Speaker 1: like these these wildly outrageous numbers that the left throws

508
00:28:50,680 --> 00:28:52,640
Speaker 1: that throws out, they're not true. What do we do

509
00:28:52,720 --> 00:28:55,480
Speaker 1: with that? Here's what he said. One of the things

510
00:28:55,560 --> 00:28:58,480
Speaker 1: that's so annoying about the quote unquote culture war is

511
00:28:58,560 --> 00:29:02,240
Speaker 1: the use of this idiot apocalyptic language and the numbers

512
00:29:02,240 --> 00:29:04,520
Speaker 1: that go with it. So if you want to discuss races,

513
00:29:04,520 --> 00:29:07,160
Speaker 1: and you could say something like, well, there still seems

514
00:29:07,160 --> 00:29:10,360
Speaker 1: to be a seven percent residual bias against blacks and

515
00:29:10,480 --> 00:29:14,920
Speaker 1: especially Latinos in apartment rentals, but affirmative action compensates for

516
00:29:15,080 --> 00:29:16,440
Speaker 1: much of that. Like, both sides could have a real

517
00:29:16,480 --> 00:29:20,600
Speaker 1: conversation if you describe that as say a genocide. People

518
00:29:20,840 --> 00:29:22,680
Speaker 1: are going to at least you and I and most

519
00:29:22,720 --> 00:29:24,520
Speaker 1: are the people are going to stop taking that seriously.

520
00:29:24,520 --> 00:29:27,920
Speaker 1: In terms of those actual numbers, what the representative did

521
00:29:27,960 --> 00:29:30,320
Speaker 1: I have to imagine is take the total number of

522
00:29:30,400 --> 00:29:33,400
Speaker 1: people under eighteen that are killed every day, that would

523
00:29:33,400 --> 00:29:36,440
Speaker 1: include seventeen year old gang bangers and anti for fighters,

524
00:29:36,440 --> 00:29:40,200
Speaker 1: anybody that's under eighteen, and say that's the number of

525
00:29:40,640 --> 00:29:42,880
Speaker 1: gun tragedies. But that's like saying the total number of

526
00:29:42,880 --> 00:29:44,680
Speaker 1: people shop by the police as a number of unarmed

527
00:29:44,680 --> 00:29:46,520
Speaker 1: black men. The majority of people shop by the cops

528
00:29:46,560 --> 00:29:49,480
Speaker 1: are attacking the cops of the pistol or a rifle.

529
00:29:49,800 --> 00:29:51,160
Speaker 1: I gotta take a breakcare, I want to come back.

530
00:29:51,160 --> 00:29:53,280
Speaker 1: I got Walmer clip from Wilfred Riley that I want

531
00:29:53,280 --> 00:29:54,880
Speaker 1: to play coming up next, And I ask them, why

532
00:29:54,880 --> 00:29:57,760
Speaker 1: do people believe these numbers so easily? Right a congressman,

533
00:29:57,880 --> 00:29:59,760
Speaker 1: senator in this case, can you say these ridiculous numbers

534
00:29:59,760 --> 00:30:02,080
Speaker 1: of just go with it without any critical thought to

535
00:30:02,120 --> 00:30:05,280
Speaker 1: it whatsoever? Why is that the case? We'll get his

536
00:30:05,320 --> 00:30:07,800
Speaker 1: answer on that next. Mike's later and San Diego filing

537
00:30:07,800 --> 00:30:10,040
Speaker 1: it for the great Buck Sexton spread the word eighteen buck.

538
00:30:10,120 --> 00:30:12,320
Speaker 1: Mike's later and San Diego filling in for Buck Sexton.

539
00:30:13,200 --> 00:30:16,520
Speaker 1: The theme of this hour has been moral panics and

540
00:30:16,640 --> 00:30:19,680
Speaker 1: the stages of a moral panic, and why politicians and

541
00:30:19,760 --> 00:30:23,160
Speaker 1: activists and people in government push these on us, and

542
00:30:24,000 --> 00:30:27,040
Speaker 1: why we keep falling for them. That's we We just

543
00:30:27,080 --> 00:30:29,600
Speaker 1: went through maybe one of the biggest moral panics ever

544
00:30:30,040 --> 00:30:32,720
Speaker 1: in COVID. You'd think we'd be wise to this by now,

545
00:30:33,120 --> 00:30:35,200
Speaker 1: but we're not. They keep coming rapid fire, and we

546
00:30:35,280 --> 00:30:37,160
Speaker 1: keep falling for them. So I want to play one

547
00:30:37,160 --> 00:30:38,800
Speaker 1: more clip here from Wilford Riley. We talked to him

548
00:30:38,800 --> 00:30:41,200
Speaker 1: on a local show yesterday and he's a professor at

549
00:30:41,240 --> 00:30:44,360
Speaker 1: Kentucky State. He's great again. I think he's the next

550
00:30:44,400 --> 00:30:49,040
Speaker 1: Thomas Soul. Just the way he thinks is a very

551
00:30:49,360 --> 00:30:52,080
Speaker 1: soul esque. So I asked him, I said, why do

552
00:30:52,120 --> 00:30:54,520
Speaker 1: we believe these numbers so easily that people just throw

553
00:30:54,560 --> 00:30:57,960
Speaker 1: out about hate crime statistics or gun violence statistics or whatever.

554
00:30:57,960 --> 00:30:59,760
Speaker 1: Why do we believe it? Here's what he said, Well,

555
00:31:00,000 --> 00:31:01,680
Speaker 1: if that's an excellent question, but I mean it not

556
00:31:01,680 --> 00:31:03,720
Speaker 1: really almost gets down to the nature of man and

557
00:31:03,800 --> 00:31:07,080
Speaker 1: scientific or spiritual terms. I mean, we are some humans

558
00:31:07,120 --> 00:31:09,800
Speaker 1: are a predator species. America is a Warrior Society, or

559
00:31:09,800 --> 00:31:12,960
Speaker 1: at least we were. Traditionally we respond quickly two things.

560
00:31:13,440 --> 00:31:17,080
Speaker 1: And if someone we generally trust NBC News or something

561
00:31:17,120 --> 00:31:20,920
Speaker 1: like this more CNN, MSNBC these days are presenting this

562
00:31:21,120 --> 00:31:24,600
Speaker 1: daily storyline of the problem here's white supremacy. A lot

563
00:31:24,600 --> 00:31:25,880
Speaker 1: of people are going to say, well, I don't think

564
00:31:25,920 --> 00:31:27,680
Speaker 1: my leaders would lie to me. The problem here must

565
00:31:27,680 --> 00:31:29,800
Speaker 1: be white supremacy. And then in this country, the reaction

566
00:31:29,840 --> 00:31:31,360
Speaker 1: from a lot of young, black and white and et

567
00:31:31,400 --> 00:31:32,840
Speaker 1: cetera people is going to be, let's go get these

568
00:31:32,840 --> 00:31:35,320
Speaker 1: white supremacists. And that's one of the reasons you've seen

569
00:31:35,400 --> 00:31:37,120
Speaker 1: sort of left and right clashing in the streets. And

570
00:31:37,120 --> 00:31:38,720
Speaker 1: the reality is that if you'd you look at the

571
00:31:38,760 --> 00:31:41,960
Speaker 1: full membership list for you know, something, storm Front, you'd

572
00:31:42,000 --> 00:31:44,000
Speaker 1: probably find that they are less than twenty thousand actual

573
00:31:44,000 --> 00:31:46,840
Speaker 1: white supremacists in the whole country. We quite real threats

574
00:31:46,840 --> 00:31:50,640
Speaker 1: instead of boogeyman. I think one last point want to

575
00:31:50,680 --> 00:31:53,800
Speaker 1: make before we get to the border in the next hour,

576
00:31:55,920 --> 00:32:01,240
Speaker 1: the term white gosh, just deserve hours. I got two minutes.

577
00:32:02,520 --> 00:32:04,480
Speaker 1: Let me let me quote you. This is Handa Nicole Jones.

578
00:32:05,000 --> 00:32:08,800
Speaker 1: So whiteness doesn't mean skin color anymore. It's a it's

579
00:32:08,840 --> 00:32:12,280
Speaker 1: a culture. It's white culture, white supremacy culture, and there's

580
00:32:12,280 --> 00:32:14,680
Speaker 1: a lot of different aspects to it, and we'll get

581
00:32:14,720 --> 00:32:16,720
Speaker 1: to that. But this is Hannah Nicole Jones, right. She

582
00:32:17,040 --> 00:32:20,880
Speaker 1: is the person behind the sixteen nineteen project. She's the

583
00:32:21,000 --> 00:32:26,240
Speaker 1: leader of what your kids are being taught in elementary school. Right,

584
00:32:26,520 --> 00:32:29,600
Speaker 1: She's the person behind the entire curriculum that's being taught

585
00:32:29,640 --> 00:32:32,360
Speaker 1: in schools today. This is from November fourth of last year.

586
00:32:32,720 --> 00:32:37,840
Speaker 1: She said, whiteness is not static, and it's expandable when necessary.

587
00:32:38,760 --> 00:32:40,800
Speaker 1: A lot of folks we don't think of as white

588
00:32:41,360 --> 00:32:43,760
Speaker 1: think of themselves as white because the lines have never

589
00:32:43,840 --> 00:32:46,960
Speaker 1: been entirely clear. That's the beauty of white supremacy. It's

590
00:32:47,000 --> 00:32:53,040
Speaker 1: extremely adaptable. So whiteness is whatever the activists needed to

591
00:32:53,080 --> 00:32:55,600
Speaker 1: be so they can keep, in the words of James Lindsay,

592
00:32:55,640 --> 00:33:02,040
Speaker 1: keeps scapegoating and drifting. So when and Asians are doing well,

593
00:33:02,160 --> 00:33:05,160
Speaker 1: when Asians get into colleges at a much higher rate

594
00:33:05,360 --> 00:33:08,640
Speaker 1: than black people than well, Asians are acting white and

595
00:33:08,760 --> 00:33:14,360
Speaker 1: they're white adjacent. But then when an Asian is the

596
00:33:14,440 --> 00:33:17,120
Speaker 1: victim of a hate crime, oh well, then they're a minority.

597
00:33:17,120 --> 00:33:20,320
Speaker 1: They're an allied group, victims of white supremacy, another way

598
00:33:20,360 --> 00:33:24,840
Speaker 1: for these activists to get attention and money and power.

599
00:33:26,480 --> 00:33:29,040
Speaker 1: So whiteness is whatever they want it to be. I

600
00:33:29,160 --> 00:33:32,760
Speaker 1: got a video of an Asian woman getting called all

601
00:33:32,800 --> 00:33:35,160
Speaker 1: sorts of terrible slurs on a bus. It's in Miami,

602
00:33:36,040 --> 00:33:39,040
Speaker 1: and the camera pants over and it's some homeless black

603
00:33:39,040 --> 00:33:42,240
Speaker 1: guy doing It's a homeless guy, an addict, surely, but

604
00:33:42,400 --> 00:33:45,280
Speaker 1: the Left can spin that into white supremacy. Really, they

605
00:33:45,280 --> 00:33:47,720
Speaker 1: could spend that into white supremacy. You got his homeless,

606
00:33:47,800 --> 00:33:55,880
Speaker 1: addicted black man, clearly mental issues, sayings offensive slurs at

607
00:33:55,880 --> 00:33:59,800
Speaker 1: an Asian person, and that's white supremacy. I'm not kidding. Well,

608
00:33:59,800 --> 00:34:03,920
Speaker 1: he's poor and homeless and addicted because of the white systems,

609
00:34:03,560 --> 00:34:07,240
Speaker 1: white white power systems that have kept him down, prevented

610
00:34:07,280 --> 00:34:10,320
Speaker 1: him and his ancestors from accessing healthcare and quality housing.

611
00:34:12,960 --> 00:34:15,200
Speaker 1: That got him into a place where he acted like this. Also,

612
00:34:15,280 --> 00:34:18,560
Speaker 1: he learned from white supremacists on how to treat people,

613
00:34:20,760 --> 00:34:23,239
Speaker 1: and he was angry and an Asian person, rightfully so,

614
00:34:23,360 --> 00:34:26,360
Speaker 1: because Asians are white adjacent and so she had privilege

615
00:34:26,360 --> 00:34:29,120
Speaker 1: over him. So what he did was justify I'm not kid.

616
00:34:29,200 --> 00:34:32,680
Speaker 1: That's the academic argument, and they got to do anything

617
00:34:32,719 --> 00:34:36,960
Speaker 1: to make everything white supremacy. Whiteness is whatever you want,

618
00:34:36,960 --> 00:34:40,320
Speaker 1: and that's why you also hear the term whiteness whiteness

619
00:34:40,320 --> 00:34:43,280
Speaker 1: and remember this from the Smithsonian. They talk about aspects

620
00:34:43,280 --> 00:34:46,960
Speaker 1: of white supremacy culture. Whiteness is showing up on time.

621
00:34:47,719 --> 00:34:53,640
Speaker 1: Whiteness is believing in merit. Whiteness is trying to achieve excellence.

622
00:34:53,800 --> 00:34:59,759
Speaker 1: Whiteness is proper English. Whiteness is they call it some

623
00:35:00,080 --> 00:35:02,520
Speaker 1: thing of the written word, supremacy of the written word,

624
00:35:03,120 --> 00:35:07,360
Speaker 1: so writing properly. Whiteness is the concept of a standard.

625
00:35:07,360 --> 00:35:10,560
Speaker 1: These are all white, so white isn't even a skin

626
00:35:10,560 --> 00:35:14,120
Speaker 1: color of these activists anymore. White is an adjective used

627
00:35:14,160 --> 00:35:18,600
Speaker 1: to describe anything bad, and it always will come back

628
00:35:18,600 --> 00:35:20,880
Speaker 1: to your fault. And if you, if anyone truly believes

629
00:35:20,880 --> 00:35:24,560
Speaker 1: that that is a recipe for a functioning society, you're

630
00:35:24,600 --> 00:35:26,440
Speaker 1: out of your mind. These people need to be outright

631
00:35:26,480 --> 00:35:30,440
Speaker 1: rejected and prevented from having any more power and influence

632
00:35:30,719 --> 00:35:34,960
Speaker 1: over our kids and over our culture. Coming next, I

633
00:35:34,960 --> 00:35:37,240
Speaker 1: want to talk about the border. I'm here in San Diego.

634
00:35:37,719 --> 00:35:41,759
Speaker 1: One thousand, five hundred unaccompanied kids are being housed in

635
00:35:41,760 --> 00:35:46,360
Speaker 1: our convention center starting tomorrow. So we'll talk about the

636
00:35:46,360 --> 00:35:49,440
Speaker 1: border next. Mike Slater from San Diego filling in for

637
00:35:49,480 --> 00:35:52,160
Speaker 1: the Great Buck Sextons, bro the word Team Buck, Mike

638
00:35:52,280 --> 00:35:55,040
Speaker 1: Slater and San Diego filling in for the Great Buck Sexton.

639
00:35:55,080 --> 00:35:59,320
Speaker 1: Thanks for having me listen. I fully understand your disappointment

640
00:35:59,400 --> 00:36:02,319
Speaker 1: right now when I tune in to my favorite radio

641
00:36:02,320 --> 00:36:06,520
Speaker 1: host and some other joker is they're filling in. I

642
00:36:06,520 --> 00:36:08,440
Speaker 1: didn't tune in for Mike Slater. I don't even know

643
00:36:08,480 --> 00:36:10,960
Speaker 1: Mike Slater, and I don't like the sound of him.

644
00:36:11,080 --> 00:36:15,480
Speaker 1: He's not back. Where's back? Buck will be back door?

645
00:36:17,120 --> 00:36:18,920
Speaker 1: But join us for a little bit here. You're already here,

646
00:36:19,000 --> 00:36:20,040
Speaker 1: might as well hang around for while. I want to

647
00:36:20,040 --> 00:36:21,359
Speaker 1: talk about the border. I got a couple of questions

648
00:36:21,360 --> 00:36:23,960
Speaker 1: about the border, simple questions that I'm not trying to

649
00:36:23,960 --> 00:36:26,200
Speaker 1: be a jerk with these questions. There are actually legitimate questions.

650
00:36:26,320 --> 00:36:29,000
Speaker 1: I got three. First, how many this is too? This

651
00:36:29,080 --> 00:36:32,719
Speaker 1: is my questions to Joe Biden, ta Kamala, to Democratic politician,

652
00:36:33,840 --> 00:36:36,839
Speaker 1: to Gavin Newsome, governor of California, et cetera. How many

653
00:36:36,880 --> 00:36:42,560
Speaker 1: illegal immigrants coming across the border is too? Many. That's

654
00:36:43,280 --> 00:36:46,640
Speaker 1: I'm not being a jerk, that's a legitimate question. At

655
00:36:46,680 --> 00:36:51,240
Speaker 1: what point would you say, all right, maybe we should

656
00:36:51,719 --> 00:36:54,719
Speaker 1: kind of figure out what's going on here? Is there

657
00:36:54,760 --> 00:36:57,080
Speaker 1: a point and what does that look like? That's my

658
00:36:57,080 --> 00:37:01,080
Speaker 1: first question. Second, will we ever see anything pictures of

659
00:37:01,160 --> 00:37:05,440
Speaker 1: people coming across illegally or pictures inside of these detention facilities,

660
00:37:05,640 --> 00:37:09,600
Speaker 1: particularly the kids who are staying in convention centers Dallas

661
00:37:09,600 --> 00:37:12,080
Speaker 1: and San Diego in particular. We'll talk about that in

662
00:37:12,160 --> 00:37:15,600
Speaker 1: a minute. Also, how's it decided where these people are sent,

663
00:37:17,080 --> 00:37:19,360
Speaker 1: whether it's what convention center they're sent to while they

664
00:37:19,440 --> 00:37:23,600
Speaker 1: remain in custody, or where they are sent to once

665
00:37:23,600 --> 00:37:26,279
Speaker 1: they're free to go now without even a court date,

666
00:37:26,320 --> 00:37:29,839
Speaker 1: because the system is so overwhelmed, purposefully overwhelmed, by the way.

667
00:37:30,000 --> 00:37:31,560
Speaker 1: Those are my three questions, and I want to break

668
00:37:31,560 --> 00:37:35,400
Speaker 1: down each of those in this segment. Here. First, just

669
00:37:35,480 --> 00:37:38,400
Speaker 1: the general approach that the Biden team has taken to this.

670
00:37:38,560 --> 00:37:44,160
Speaker 1: They're taking the Baghdad Bob approach. Be familiar with. Do

671
00:37:44,239 --> 00:37:47,720
Speaker 1: you remember Bagdad Bob? Oh, we love Baghdad Bob. Baghdad

672
00:37:47,760 --> 00:37:51,960
Speaker 1: Bob was the spokesperson for Saddam Hussein and he was

673
00:37:52,000 --> 00:37:56,280
Speaker 1: the guy who had this press conference outside downtown Baghdad.

674
00:37:57,120 --> 00:37:59,480
Speaker 1: And he's standing there. He says, oh, there's no threat,

675
00:38:00,200 --> 00:38:04,880
Speaker 1: no threat of any proof of existence. Some Americans in Baghdad.

676
00:38:04,920 --> 00:38:08,680
Speaker 1: No infidels, No American infidels in Baghdad. They're not within

677
00:38:08,719 --> 00:38:13,040
Speaker 1: a hundred miles of Baghdad. But it's an illusion. They're

678
00:38:13,040 --> 00:38:19,840
Speaker 1: trying to sell an illusion. Meanwhile, there's American tanks rolling

679
00:38:19,880 --> 00:38:25,319
Speaker 1: in the background behind these guys. Are no Americans none here.

680
00:38:27,560 --> 00:38:31,040
Speaker 1: It's say, this is Joe Biden. No, there's no immigration

681
00:38:31,120 --> 00:38:36,200
Speaker 1: crisis on the southern border. No no immigrants here. There's

682
00:38:36,280 --> 00:38:40,560
Speaker 1: no Quatemalans within one hundred miles of the San Diego

683
00:38:40,680 --> 00:38:46,480
Speaker 1: Convention Center. This is an illusion. And this is why

684
00:38:46,560 --> 00:38:49,239
Speaker 1: Joe Biden and Kamala won't go to the border. They

685
00:38:49,280 --> 00:38:52,480
Speaker 1: gotta keep the plausible deniability right. They're they're they're asked

686
00:38:52,480 --> 00:38:54,359
Speaker 1: every day if they're gonna go to the border. They're like, oh,

687
00:38:54,400 --> 00:38:56,920
Speaker 1: you know, yeah, sure, no, one day we'll go. Yeah. Yeah.

688
00:38:57,160 --> 00:38:58,680
Speaker 1: They don't want to go because once they go, they

689
00:38:58,680 --> 00:39:02,480
Speaker 1: can't play the ignorance game anymore. They lose their plausible deniability.

690
00:39:02,680 --> 00:39:06,480
Speaker 1: We're never gonna go. The other day, Jensaki called it

691
00:39:06,520 --> 00:39:09,200
Speaker 1: a crisis at the other Biden spokesperson called it a

692
00:39:09,200 --> 00:39:10,600
Speaker 1: crisis at the border. And you're not supposed to call

693
00:39:10,600 --> 00:39:11,680
Speaker 1: it a crisis at the border. So one of the

694
00:39:11,719 --> 00:39:13,800
Speaker 1: reporters said, hold on, you just called it a crisis

695
00:39:13,800 --> 00:39:17,520
Speaker 1: at the border, and she goes a challenge, challenge, it's

696
00:39:17,560 --> 00:39:20,680
Speaker 1: challenge at the boarder. And he goes, oh, does this

697
00:39:21,360 --> 00:39:23,600
Speaker 1: show that there's a difference in how the administration is

698
00:39:23,600 --> 00:39:28,200
Speaker 1: handling it? And she goes nope. Jould just said nope, nope.

699
00:39:29,160 --> 00:39:33,760
Speaker 1: Next question. So it's not a crisis. It's a challenge,

700
00:39:33,840 --> 00:39:37,359
Speaker 1: is all. Now. I want to make the point quickly.

701
00:39:37,360 --> 00:39:43,120
Speaker 1: It's not a challenge personally for them. None of this immigration,

702
00:39:43,120 --> 00:39:46,120
Speaker 1: none of this the immigration affects them. Gavin Newsom, our

703
00:39:46,160 --> 00:39:51,160
Speaker 1: governor in California. He's not affected by this, just like

704
00:39:51,200 --> 00:39:53,240
Speaker 1: he wasn't affected by COVID. His kids went to private

705
00:39:53,239 --> 00:39:55,799
Speaker 1: school since September. Four kids in private school in person

706
00:39:55,840 --> 00:39:58,440
Speaker 1: since September. But he won't let the people of California

707
00:39:58,600 --> 00:40:01,480
Speaker 1: send their kids to school. How about that. You can't

708
00:40:01,520 --> 00:40:03,279
Speaker 1: open up your business, you can't go out to eat,

709
00:40:03,280 --> 00:40:04,800
Speaker 1: you can't be with your family, But he can go

710
00:40:04,880 --> 00:40:07,279
Speaker 1: out with his wife to the French laundry. See all

711
00:40:07,320 --> 00:40:11,360
Speaker 1: that works. Same thing with immigration. His job's not His

712
00:40:11,440 --> 00:40:16,480
Speaker 1: wages aren't lowered by tens of thousands of ilegal immigrants

713
00:40:16,480 --> 00:40:18,640
Speaker 1: coming across the border. His wages aren't lowered. He's not

714
00:40:18,680 --> 00:40:24,680
Speaker 1: affected at this by this at all. There's gonna be

715
00:40:24,680 --> 00:40:28,799
Speaker 1: no Guatemalans in his kids private school, but there are

716
00:40:28,800 --> 00:40:32,600
Speaker 1: at the schools along the border, maybe no kids who

717
00:40:32,600 --> 00:40:37,960
Speaker 1: speak English in any of these classes. So his kids

718
00:40:37,960 --> 00:40:41,600
Speaker 1: school's not affected, his wages aren't affected. No Hondurans are

719
00:40:41,600 --> 00:40:45,040
Speaker 1: going to be shocking up in his poolhouse like they're

720
00:40:45,040 --> 00:40:46,920
Speaker 1: cramped down into the conventions that are So he's not

721
00:40:47,120 --> 00:40:50,359
Speaker 1: personally affected by this at all. He's got no skin

722
00:40:50,440 --> 00:40:53,440
Speaker 1: in the game, which is why they're like, yeah, sure,

723
00:40:53,440 --> 00:40:56,439
Speaker 1: come on in, and they're not letting you see anything either.

724
00:40:56,440 --> 00:40:58,640
Speaker 1: And that may be even worse than or at least

725
00:40:58,640 --> 00:41:01,600
Speaker 1: as bad as what's happening, is the fact that they

726
00:41:01,600 --> 00:41:07,000
Speaker 1: won't let us see any of it. San Diego Convention

727
00:41:07,160 --> 00:41:11,800
Speaker 1: right now, there's fifteen thousand unaccompanied minors in federal custody.

728
00:41:11,840 --> 00:41:16,279
Speaker 1: Fifteen thousand, one thousand, five hundred of them are being

729
00:41:16,320 --> 00:41:21,680
Speaker 1: shipped to San Diego, and there's some in the Dallas

730
00:41:21,680 --> 00:41:24,520
Speaker 1: convention Center as well. I think about this, the conventions,

731
00:41:24,520 --> 00:41:30,360
Speaker 1: like a giant convention center full of fifteen hundred thirteen

732
00:41:30,360 --> 00:41:34,440
Speaker 1: to seventeen year olds, unaccompanied kids, no adults, no parents.

733
00:41:35,080 --> 00:41:37,880
Speaker 1: That's like a giant school, right, a four hundred person

734
00:41:37,960 --> 00:41:40,480
Speaker 1: class per class school. It's fifteen hundred kids. It's a

735
00:41:40,480 --> 00:41:42,640
Speaker 1: lot of kids, and it's right. I don't if you've

736
00:41:42,680 --> 00:41:45,560
Speaker 1: been to the San Diego Convention center's right downtown and

737
00:41:45,920 --> 00:41:48,040
Speaker 1: it's just gonna be on lockdown. It's just no one

738
00:41:48,080 --> 00:41:51,120
Speaker 1: in or out right in front of our faces. Like

739
00:41:51,120 --> 00:41:54,319
Speaker 1: who's gonna be guarding as patrolling our convention centers right

740
00:41:54,400 --> 00:41:56,799
Speaker 1: under our nose, and you're gonna know nothing about it.

741
00:41:56,800 --> 00:42:01,640
Speaker 1: There's never gonna be any pictures or anything. You can't

742
00:42:01,719 --> 00:42:06,640
Speaker 1: know what's going on. Came across this article about a photographer,

743
00:42:06,640 --> 00:42:10,600
Speaker 1: a photojournalist. Let me quote some of this year. This

744
00:42:10,640 --> 00:42:13,880
Speaker 1: is amazing. He said, for the past four presidential administrations,

745
00:42:15,640 --> 00:42:19,759
Speaker 1: I've accompanied US Customs and Border Protection agents and photographed

746
00:42:19,760 --> 00:42:23,239
Speaker 1: their encounters with migrants as they enforced immigration policy. So

747
00:42:23,280 --> 00:42:25,799
Speaker 1: he's been doing this for four presidential administrations. A long

748
00:42:25,840 --> 00:42:27,160
Speaker 1: time it's been in this game a long time. He

749
00:42:27,160 --> 00:42:30,879
Speaker 1: works for Getty, so he's not some right wing activist guy.

750
00:42:31,160 --> 00:42:33,200
Speaker 1: He works for Getty. He's been doing it for a

751
00:42:33,200 --> 00:42:38,319
Speaker 1: long time, but he says no longer. Last week, when

752
00:42:38,320 --> 00:42:41,160
Speaker 1: I documented migrant attentions in El Paso, I had to

753
00:42:41,200 --> 00:42:44,800
Speaker 1: do so from the Mexican side of the border, taking

754
00:42:44,840 --> 00:42:49,279
Speaker 1: long range shots. Until now, journalists have not had to

755
00:42:49,320 --> 00:42:53,040
Speaker 1: stand in another country to cover what's happening in the

756
00:42:53,120 --> 00:42:59,640
Speaker 1: United States. Amazing. For decades, the US government has let

757
00:42:59,680 --> 00:43:02,560
Speaker 1: photo journalists a company border patrol agents and other officials

758
00:43:02,560 --> 00:43:06,800
Speaker 1: as they surveiled the land. But since the change in administration, again,

759
00:43:06,800 --> 00:43:09,879
Speaker 1: this is no Trump lackey here, those agents have been

760
00:43:09,920 --> 00:43:13,640
Speaker 1: physically blocking journalists from the river bank. For example, after

761
00:43:13,719 --> 00:43:15,880
Speaker 1: being turned down for official access on a trip in February,

762
00:43:15,920 --> 00:43:17,960
Speaker 1: I followed a Border Patrol transport bus in my own

763
00:43:18,040 --> 00:43:21,480
Speaker 1: vehicle to where they were detaining migrants. They stopped me

764
00:43:21,719 --> 00:43:23,839
Speaker 1: before I got close enough to take pictures. They called

765
00:43:23,880 --> 00:43:28,319
Speaker 1: a supervisor ordered me to leave immediately. We've gone from

766
00:43:28,360 --> 00:43:33,239
Speaker 1: the Trump era zero zero tolerance policy towards immigrants to

767
00:43:33,320 --> 00:43:39,080
Speaker 1: a Biden era zero access policy for journalists covering immigration.

768
00:43:39,360 --> 00:43:43,520
Speaker 1: Here's the key. This development is unprecedented in modern history.

769
00:43:43,640 --> 00:43:46,359
Speaker 1: So not only what's unprecedented the amount of people coming

770
00:43:46,400 --> 00:43:51,520
Speaker 1: across this quickly, that's completely unprecedented, but also the fact

771
00:43:51,560 --> 00:43:55,800
Speaker 1: that no one's allowed to see it. Now, why is

772
00:43:55,840 --> 00:43:58,239
Speaker 1: this guy especially important? This is the guy who took

773
00:43:58,239 --> 00:44:02,160
Speaker 1: the picture of that little girl from Honduras crying back

774
00:44:02,160 --> 00:44:05,279
Speaker 1: in twenty eighteen. Remember this little girl, she's like three

775
00:44:05,360 --> 00:44:07,960
Speaker 1: years old, pink shirt, she's looking up at her mommy, crying.

776
00:44:08,520 --> 00:44:11,400
Speaker 1: And this guy took that picture and Time magazine photo

777
00:44:11,440 --> 00:44:14,680
Speaker 1: shopped it, put a red background to it, and put

778
00:44:14,719 --> 00:44:19,719
Speaker 1: Trump there standing down or standing looking down callously at

779
00:44:19,760 --> 00:44:24,719
Speaker 1: this little girl. And the tweet was, what kind of

780
00:44:24,800 --> 00:44:29,800
Speaker 1: country are we? Right? Trump's border separation policy? What kind

781
00:44:29,840 --> 00:44:32,560
Speaker 1: of country are we? What kind of country does what

782
00:44:32,640 --> 00:44:36,960
Speaker 1: kind of country rips children, rips babies from the arms

783
00:44:36,960 --> 00:44:44,200
Speaker 1: of their mothers? Now, I remember when I saw that

784
00:44:44,200 --> 00:44:47,040
Speaker 1: picture and there's this massive outrage about it, and I

785
00:44:47,040 --> 00:44:49,480
Speaker 1: remember I said, oh, that's there's more to this story,

786
00:44:49,520 --> 00:44:52,399
Speaker 1: I guarantee you. So it turns out that this mother,

787
00:44:53,280 --> 00:44:55,040
Speaker 1: it was nothing like what people pretended it was. This

788
00:44:55,160 --> 00:44:57,320
Speaker 1: mother put the girl down for a second. It was

789
00:44:57,360 --> 00:44:59,719
Speaker 1: eleven PM. The girl was tired, she cried, and the

790
00:44:59,760 --> 00:45:02,239
Speaker 1: mom picked her back up. That was it. That guy

791
00:45:02,280 --> 00:45:04,160
Speaker 1: just took a picture for one second that she was

792
00:45:04,160 --> 00:45:05,759
Speaker 1: on that she was standing on the ground, and the

793
00:45:05,840 --> 00:45:09,640
Speaker 1: family was never separated, And not one moment was the

794
00:45:09,719 --> 00:45:12,240
Speaker 1: mother and this three year old separated, not for a second.

795
00:45:14,360 --> 00:45:17,000
Speaker 1: And this is the second time that this mother has

796
00:45:17,000 --> 00:45:21,200
Speaker 1: come across the border illegally. She was already deported once.

797
00:45:21,880 --> 00:45:23,839
Speaker 1: I bring this up because that at first of all,

798
00:45:23,880 --> 00:45:26,319
Speaker 1: that's just like such a hack job manipulation of that

799
00:45:26,360 --> 00:45:31,880
Speaker 1: picture to emotionally manipulate you into Trump being a horrible,

800
00:45:31,920 --> 00:45:33,440
Speaker 1: evil person. But I bring it up because it was

801
00:45:33,480 --> 00:45:38,080
Speaker 1: that photographer who took the picture. And even then, even then,

802
00:45:38,320 --> 00:45:41,480
Speaker 1: after all, this is the pr nightmare that that picture created.

803
00:45:42,920 --> 00:45:48,319
Speaker 1: The Trump administration never stopped him from doing his job.

804
00:45:51,760 --> 00:45:56,080
Speaker 1: Ten thousand apprehensions on the Rio Grand Valley in Texas

805
00:45:56,160 --> 00:46:00,680
Speaker 1: last week, ten thousand, biggest ever went completely observed by

806
00:46:00,680 --> 00:46:05,880
Speaker 1: the public purposefully, And that is as big of a

807
00:46:05,920 --> 00:46:08,640
Speaker 1: scandal as what's happening at the border itself. Because the

808
00:46:08,719 --> 00:46:10,520
Speaker 1: Left knows that if they can keep you from seeing it,

809
00:46:12,640 --> 00:46:15,160
Speaker 1: then people will get bored move on, and they can

810
00:46:15,239 --> 00:46:19,120
Speaker 1: keep it going. I call it the governor blackface effect, right,

811
00:46:19,480 --> 00:46:23,239
Speaker 1: Governor Ralph Northam in Virginia, right, the blackface controversy, and

812
00:46:23,320 --> 00:46:24,959
Speaker 1: everyone's like, you gotta go, he's gotta be, he's gotta

813
00:46:25,040 --> 00:46:27,200
Speaker 1: get resigned, he's gotta go. Democrats in the state, you

814
00:46:27,239 --> 00:46:30,560
Speaker 1: gotta go, you gotta go. And he just waited, just waited.

815
00:46:30,560 --> 00:46:32,040
Speaker 1: A couple weeks. That went away, and he's still the

816
00:46:32,080 --> 00:46:34,839
Speaker 1: governor as we the people move on to the next

817
00:46:34,880 --> 00:46:38,920
Speaker 1: shiny object. And that's what the Biden administration is doing here.

818
00:46:39,480 --> 00:46:41,960
Speaker 1: They're just hoping we forget about it now. You and

819
00:46:42,000 --> 00:46:46,359
Speaker 1: I will not, but most people will. All conservatives want

820
00:46:46,760 --> 00:46:52,239
Speaker 1: is order at the border. Who is coming? Where are

821
00:46:52,239 --> 00:46:58,680
Speaker 1: you going? We should be in charge of our immigration policy,

822
00:46:59,520 --> 00:47:03,560
Speaker 1: not other countries. Mike Slater in San Diego, filling in

823
00:47:03,560 --> 00:47:05,640
Speaker 1: for Buck Sexton. Spread the word. Hey, what's going on?

824
00:47:05,719 --> 00:47:08,520
Speaker 1: Team Buck? Mike Slater, San Diego, filling in for Buck Sexton,

825
00:47:08,520 --> 00:47:10,680
Speaker 1: Thanks for being here on my local show in San Diego.

826
00:47:10,719 --> 00:47:14,799
Speaker 1: We talk a lot about these diversity inclusion, equity training seminars,

827
00:47:14,840 --> 00:47:19,000
Speaker 1: and we expose all these things and just prepare our

828
00:47:19,040 --> 00:47:21,920
Speaker 1: listeners for when they have to go through one of

829
00:47:21,920 --> 00:47:25,839
Speaker 1: these and when their kids are fed this propaganda as well.

830
00:47:26,040 --> 00:47:31,080
Speaker 1: So Signa just released they didn't release it. Someone leaked

831
00:47:31,480 --> 00:47:35,839
Speaker 1: the Signa Diversity Training SIN seventy three thousand employees. It's

832
00:47:35,960 --> 00:47:39,799
Speaker 1: one of the largest healthcare providers in the country. One

833
00:47:39,840 --> 00:47:43,000
Speaker 1: of the slides it says, check your privilege and it

834
00:47:43,040 --> 00:47:47,560
Speaker 1: lists different groups of privilege able bodied, twenty five to

835
00:47:47,640 --> 00:47:50,839
Speaker 1: fifty five sis mail. Isn't it amazing that cismail has

836
00:47:50,840 --> 00:47:53,400
Speaker 1: become a thing like cis gendered. That means you actually

837
00:47:53,440 --> 00:47:56,400
Speaker 1: are the gender that the doctor said you were based

838
00:47:56,400 --> 00:48:02,560
Speaker 1: on your anatomy. It matches. Oh good, I'm sis sismile, heterosexual, white,

839
00:48:02,560 --> 00:48:05,480
Speaker 1: and Christian. So though that's me, I'm all of those

840
00:48:06,160 --> 00:48:10,120
Speaker 1: buck is all of those whoops, we are super privileged.

841
00:48:10,160 --> 00:48:12,880
Speaker 1: So check your the Christian edition. There is an interesting

842
00:48:13,080 --> 00:48:15,800
Speaker 1: new one Christian. Get ready for that one to be

843
00:48:15,920 --> 00:48:20,839
Speaker 1: ramped up big time. And then what takes this story

844
00:48:20,840 --> 00:48:23,320
Speaker 1: to the next level is there's a chat log between

845
00:48:23,320 --> 00:48:26,800
Speaker 1: an employee and a hiring manager and they were filling

846
00:48:26,800 --> 00:48:29,040
Speaker 1: someone filling a position and there was someone there with

847
00:48:29,440 --> 00:48:31,960
Speaker 1: years of experience and the whole thing, and the person

848
00:48:32,000 --> 00:48:34,400
Speaker 1: says the candidate, a white man could not be interviewed

849
00:48:34,400 --> 00:48:37,560
Speaker 1: because he did not meet the diversity criteria, could not

850
00:48:37,640 --> 00:48:42,879
Speaker 1: even be interviewed. This woke stuff. We could talk about

851
00:48:42,880 --> 00:48:45,239
Speaker 1: it forever. Literally, we've talked hours and hours about this stuff.

852
00:48:45,280 --> 00:48:47,839
Speaker 1: And I have three minutes here, but let me give

853
00:48:47,840 --> 00:48:50,319
Speaker 1: you this takeaway and and please feel free to take

854
00:48:50,400 --> 00:48:54,239
Speaker 1: this and use this share this with someone who needs

855
00:48:54,280 --> 00:48:56,799
Speaker 1: to hear it. We always hear about the work, right,

856
00:48:56,880 --> 00:49:00,120
Speaker 1: you gotta do the work. People do the work. You

857
00:49:00,120 --> 00:49:02,560
Speaker 1: hear these activisties, woke people say, you gotta do the work.

858
00:49:02,680 --> 00:49:05,600
Speaker 1: When people do these groveling apologies, they do the same thing, like, Oh,

859
00:49:05,640 --> 00:49:07,520
Speaker 1: I'm gonna take some time off so that i can

860
00:49:07,560 --> 00:49:10,520
Speaker 1: really reflect and do the work. Robin D'Angelo. She talks

861
00:49:10,520 --> 00:49:13,000
Speaker 1: about how white people need to do the work regarding

862
00:49:13,000 --> 00:49:17,200
Speaker 1: their privilege. It's always called the work. You gotta understand

863
00:49:17,239 --> 00:49:20,440
Speaker 1: your bias, your privilege. You gotta do the work. This

864
00:49:20,480 --> 00:49:23,440
Speaker 1: is one aspect of how it's a cult. All right.

865
00:49:23,480 --> 00:49:25,600
Speaker 1: You got to do more and more and more and

866
00:49:25,600 --> 00:49:27,479
Speaker 1: more and more, do more, do more works. You gotta

867
00:49:27,480 --> 00:49:29,560
Speaker 1: do works more and more and more so that you

868
00:49:29,600 --> 00:49:32,799
Speaker 1: can try to achieve a higher plane of understanding that

869
00:49:32,840 --> 00:49:34,600
Speaker 1: no one else can achieve. You gotta be more aware

870
00:49:34,600 --> 00:49:41,880
Speaker 1: and more woke than anyone else. So the work is

871
00:49:41,880 --> 00:49:44,719
Speaker 1: what you gotta read. You gotta read the great works, right,

872
00:49:44,760 --> 00:49:47,400
Speaker 1: you gotta read the Cannon. You gotta read their Bible,

873
00:49:48,160 --> 00:49:52,080
Speaker 1: White Fragility, How to be an Anti Racist Between the

874
00:49:52,120 --> 00:49:56,840
Speaker 1: World and Be by Tanahashi Coats. You gotta read the work. Fine,

875
00:49:58,080 --> 00:50:05,120
Speaker 1: read those, But if you don't also read Intellectuals and

876
00:50:05,239 --> 00:50:10,880
Speaker 1: Race by Thomas Soul and Authentically Black by John mcwarder.

877
00:50:10,920 --> 00:50:14,280
Speaker 1: And if you don't also read White Guilt by Shelby Steele,

878
00:50:14,960 --> 00:50:18,600
Speaker 1: books by three brilliant black intellectuals. If you don't also

879
00:50:18,719 --> 00:50:25,640
Speaker 1: read those books, then your work is incomplete. And why

880
00:50:25,640 --> 00:50:28,600
Speaker 1: are you racist? Why are you discriminating against these three

881
00:50:29,520 --> 00:50:34,760
Speaker 1: scholars of color. You gotta you gotta do the work.

882
00:50:36,040 --> 00:50:38,400
Speaker 1: I've done my work, I've read all sides. Have you

883
00:50:38,600 --> 00:50:44,600
Speaker 1: done your work? Feel free to take that and use

884
00:50:44,600 --> 00:50:50,359
Speaker 1: that against, not against, use that with someone. By the way,

885
00:50:50,360 --> 00:50:51,879
Speaker 1: they have a list of words that you can't say

886
00:50:51,880 --> 00:50:55,719
Speaker 1: at signal as well. Right, so no reference to mother

887
00:50:55,840 --> 00:51:01,120
Speaker 1: or father. Right, we've gotta be more trans inclusive. You

888
00:51:01,200 --> 00:51:03,719
Speaker 1: got silly ones like no more man hours. They're now

889
00:51:03,800 --> 00:51:07,160
Speaker 1: called work hours. No more chairman, it's chairperson. Dumb things

890
00:51:07,160 --> 00:51:12,200
Speaker 1: like that. Then you have all gendered terms, right, because

891
00:51:12,239 --> 00:51:16,000
Speaker 1: if you speak of husband and wife, then that's or

892
00:51:16,280 --> 00:51:20,320
Speaker 1: male and female. Then that's perpetuating the binary nature of gender.

893
00:51:20,360 --> 00:51:22,799
Speaker 1: And we all know that genders on a spectrum. But

894
00:51:22,880 --> 00:51:25,400
Speaker 1: here's a third category of politically correct words that I

895
00:51:25,719 --> 00:51:27,480
Speaker 1: that I really want to call out. I call him

896
00:51:27,480 --> 00:51:31,120
Speaker 1: minstrel words. So these are things that have an absurdly

897
00:51:31,239 --> 00:51:35,000
Speaker 1: vague reference to something that maybe one hundred years ago existed,

898
00:51:35,120 --> 00:51:38,200
Speaker 1: maybe that we're supposed to be offended about today. Remember

899
00:51:38,239 --> 00:51:40,960
Speaker 1: Cat in the Hat or Doctor Sus was canceled a

900
00:51:40,960 --> 00:51:42,319
Speaker 1: couple of weeks ago, and Cat in the Hat is

901
00:51:42,320 --> 00:51:44,240
Speaker 1: the next book of Doctors Sus. It's gonna be canceled.

902
00:51:44,360 --> 00:51:46,120
Speaker 1: And I remember reading, like, I wonder why why it

903
00:51:46,160 --> 00:51:49,360
Speaker 1: was Cat in the Hat gonna be canceled. It's because

904
00:51:49,360 --> 00:51:53,719
Speaker 1: the cat resembles a minstrel show with his floppy bow

905
00:51:53,760 --> 00:51:57,160
Speaker 1: tie and white gloves. And I'm like, what are you talking.

906
00:51:57,360 --> 00:51:59,160
Speaker 1: There's no one alive today he's ever been to a

907
00:51:59,200 --> 00:52:01,839
Speaker 1: minstrel show. No one even knows what a minstrel show is.

908
00:52:01,920 --> 00:52:05,080
Speaker 1: But I'm constantly reminded about things that exist today that

909
00:52:05,320 --> 00:52:09,080
Speaker 1: are a modern day minstrel show. Even so these are

910
00:52:09,080 --> 00:52:12,680
Speaker 1: minstrel show words, right. So one of these is brown bag.

911
00:52:13,000 --> 00:52:15,400
Speaker 1: So it's signal you can't say brown bag anymore, like

912
00:52:15,400 --> 00:52:18,239
Speaker 1: a brown bag lunch, right, You got to replace it

913
00:52:18,280 --> 00:52:21,319
Speaker 1: with learn, lunch and learn or grab and go. I

914
00:52:21,320 --> 00:52:24,240
Speaker 1: don't so I think a brown bag? Why's brown bag offensive?

915
00:52:25,080 --> 00:52:29,960
Speaker 1: Apparently during segregation, which the woke want to get back

916
00:52:29,960 --> 00:52:34,239
Speaker 1: to again, when deciding if a person was black or

917
00:52:34,440 --> 00:52:36,880
Speaker 1: light skinned enough to rent an apartment or eat at

918
00:52:36,880 --> 00:52:40,000
Speaker 1: a restaurant, the person someone would brown bag them and

919
00:52:40,120 --> 00:52:43,680
Speaker 1: use a grocery store bag to gauge their skin tone.

920
00:52:44,440 --> 00:52:46,799
Speaker 1: So listen, I have no idea that ever happened. It

921
00:52:46,880 --> 00:52:50,840
Speaker 1: probably didn't, but the idea that I can't call my

922
00:52:51,000 --> 00:52:54,520
Speaker 1: lunch a brown bag lunch anymore because seventy years ago

923
00:52:54,600 --> 00:52:57,839
Speaker 1: this maybe happened once. Under the premise that every like

924
00:52:58,160 --> 00:53:02,160
Speaker 1: someone alive today, he is offended by this absolutely absurd

925
00:53:04,200 --> 00:53:06,839
Speaker 1: and what what are we supposed to do? Hey, slater, um,

926
00:53:06,840 --> 00:53:08,439
Speaker 1: I'll grab your lunch for you from the break room.

927
00:53:08,880 --> 00:53:11,279
Speaker 1: Which one is it? Oh, it's in the paper bag?

928
00:53:12,600 --> 00:53:22,080
Speaker 1: What color? What color paperbag? Oh? The br um the uh,

929
00:53:22,320 --> 00:53:31,239
Speaker 1: it's in the hazel hazel nut hazel nutbag. Yeah, you know,

930
00:53:31,320 --> 00:53:38,560
Speaker 1: the um the car Carmel Carmel, burnt Sienna. But it's

931
00:53:38,560 --> 00:53:41,720
Speaker 1: the my lunch, My lunch is in the burnt Sienna back.

932
00:53:42,040 --> 00:53:46,560
Speaker 1: I just want them grab grab the burnt Sienna bag.

933
00:53:46,680 --> 00:53:51,200
Speaker 1: That's mine. Ridiculous. Don't play the euphemism treadmill. People are

934
00:53:51,200 --> 00:53:55,120
Speaker 1: always coming up with more euphemisms to seem and project

935
00:53:55,160 --> 00:53:59,719
Speaker 1: their enlightenment above everyone else, and to prove that they're

936
00:53:59,760 --> 00:54:02,279
Speaker 1: more offended by things than anyone else. That makes them

937
00:54:02,280 --> 00:54:05,240
Speaker 1: more woke. Don't play the game. Mike's later in San Diego,

938
00:54:05,440 --> 00:54:07,440
Speaker 1: filling it for Buck Sexton. Spread the word, Hey, what's

939
00:54:07,440 --> 00:54:09,320
Speaker 1: going on? Team Buck? Mike's later San Diego, filling it

940
00:54:09,360 --> 00:54:12,160
Speaker 1: for Buck Sexton. Super grateful you're here. So we've been

941
00:54:12,200 --> 00:54:15,600
Speaker 1: talking about the border and wokeness and stuff. I want

942
00:54:15,600 --> 00:54:18,759
Speaker 1: to switch hears a little bit here and share a

943
00:54:18,880 --> 00:54:23,000
Speaker 1: story that is quite a peak into the crystal ball

944
00:54:23,000 --> 00:54:27,240
Speaker 1: of what's coming for our country. We need to stop

945
00:54:27,320 --> 00:54:30,759
Speaker 1: this transgender moral panic moral panics than the theme of

946
00:54:30,760 --> 00:54:33,840
Speaker 1: the show today. We need to stop it now because

947
00:54:33,960 --> 00:54:36,279
Speaker 1: it's only gonna get worse. And I have a story

948
00:54:36,400 --> 00:54:42,600
Speaker 1: here that seems impossible, but I assure you it's happening

949
00:54:42,800 --> 00:54:46,480
Speaker 1: right now. We'll tell that next first. Express VPN. One

950
00:54:46,480 --> 00:54:48,080
Speaker 1: of the problems with the Internet today, right it's free.

951
00:54:48,120 --> 00:54:51,520
Speaker 1: Everything on the eart's free. Right, Well, no, it's not

952
00:54:52,040 --> 00:54:53,719
Speaker 1: years ago. I remember the first time I heard you.

953
00:54:53,760 --> 00:54:57,120
Speaker 1: Maybe remember the first time you heard that. If it's free,

954
00:54:57,320 --> 00:55:00,759
Speaker 1: then you're not the customer, you're the product. You are

955
00:55:00,800 --> 00:55:05,360
Speaker 1: being sold. You're being sold. So when you're on the

956
00:55:05,400 --> 00:55:09,080
Speaker 1: internet now, you got to think who is selling you

957
00:55:10,040 --> 00:55:12,320
Speaker 1: and who's buying you? Right? Who's getting a hold of

958
00:55:12,360 --> 00:55:14,080
Speaker 1: your search history and your viewing habits, and what are

959
00:55:14,080 --> 00:55:16,240
Speaker 1: they doing with that information? How do you get free

960
00:55:16,239 --> 00:55:19,600
Speaker 1: from them? Express vpn? Right, so, right now, when you

961
00:55:19,640 --> 00:55:21,160
Speaker 1: search for something on lot, or you watch a video,

962
00:55:21,200 --> 00:55:24,279
Speaker 1: or you click a link, you're getting tracked and they

963
00:55:24,320 --> 00:55:28,640
Speaker 1: match your activity with your IPN or your IP address.

964
00:55:28,640 --> 00:55:30,880
Speaker 1: He is me your IP address, But when you use

965
00:55:30,960 --> 00:55:37,160
Speaker 1: express VPN, these companies don't see your IP address. Give

966
00:55:37,200 --> 00:55:42,080
Speaker 1: him a call Express vpn dot com, slash buck and

967
00:55:42,160 --> 00:55:44,799
Speaker 1: stop handing over your data to big tech companies in

968
00:55:44,800 --> 00:55:50,000
Speaker 1: the government. Protect yourself Express vpn dot com slash buck

969
00:55:50,040 --> 00:55:53,719
Speaker 1: and you get three extra months free express vpn dot

970
00:55:53,719 --> 00:55:58,120
Speaker 1: com slash buck to learn more Team Buck Mike Slater,

971
00:55:58,719 --> 00:56:01,359
Speaker 1: San Diego filling in for Buck Sexton. Thanks for being here.

972
00:56:01,800 --> 00:56:04,279
Speaker 1: I want to share a story here that you will

973
00:56:04,320 --> 00:56:10,080
Speaker 1: not believe. I want you to imagine that your wife

974
00:56:11,600 --> 00:56:17,160
Speaker 1: is abusing your child. Imagine that your wife is abusing

975
00:56:17,200 --> 00:56:19,920
Speaker 1: your child, or anyone. It could be anyone. Imagine someone's

976
00:56:19,960 --> 00:56:23,000
Speaker 1: abusing your child, and when you try to stop it,

977
00:56:24,760 --> 00:56:32,680
Speaker 1: you get thrown in jail. You just have to watch

978
00:56:32,680 --> 00:56:35,560
Speaker 1: it happen, and there's nothing you can do because the

979
00:56:35,600 --> 00:56:41,200
Speaker 1: force of the government is working against you. I have

980
00:56:41,280 --> 00:56:44,200
Speaker 1: here a look into the crystal ball as to where

981
00:56:44,239 --> 00:56:48,279
Speaker 1: we're heading with our obsession over transgenderism today and this

982
00:56:48,320 --> 00:56:51,000
Speaker 1: idea of transgender kids. It's so wild. AOC the other

983
00:56:51,080 --> 00:56:55,960
Speaker 1: day said a tweet out about transgender kids, and it's like,

984
00:56:56,480 --> 00:57:02,040
Speaker 1: what do you what are you talking about transgender kids?

985
00:57:02,920 --> 00:57:04,680
Speaker 1: There's no such thing, and we're just supposed to go

986
00:57:04,680 --> 00:57:06,600
Speaker 1: along with that as if this, Oh, yes, she said,

987
00:57:06,760 --> 00:57:09,920
Speaker 1: trans kids are amazing, wonderful and powerful or something like that.

988
00:57:09,920 --> 00:57:16,880
Speaker 1: It's like, trans kids, listen to yourself, and you have

989
00:57:17,000 --> 00:57:19,840
Speaker 1: to comply. The activists, they don't the activists left. They

990
00:57:19,840 --> 00:57:25,560
Speaker 1: don't stop at tolerance. They demand compliance and full blown

991
00:57:25,600 --> 00:57:32,840
Speaker 1: acceptance and celebration of what they're spouting. So here's the story.

992
00:57:32,840 --> 00:57:37,720
Speaker 1: It's in Canada. It's about law C sixteen. This is

993
00:57:37,760 --> 00:57:43,800
Speaker 1: the law C sixteen that got Jordan Peterson famous years

994
00:57:43,800 --> 00:57:46,520
Speaker 1: ago when C sixteen was first proposed in Canada, and

995
00:57:46,560 --> 00:57:48,480
Speaker 1: he said, among other things, he said, this is what's

996
00:57:48,480 --> 00:57:52,320
Speaker 1: going to happen when this law passes. And sure enough,

997
00:57:53,040 --> 00:57:58,120
Speaker 1: here it is. Husband and wife got divorced at the time.

998
00:57:58,400 --> 00:58:04,000
Speaker 1: Their daughter was eleven at the divorce. She's now fifteen,

999
00:58:04,680 --> 00:58:08,440
Speaker 1: and she is transgender. Now there's no such thing as transgenderism.

1000
00:58:08,480 --> 00:58:10,840
Speaker 1: She is a gender dysmorphic because the technical term you

1001
00:58:10,880 --> 00:58:14,640
Speaker 1: can't change genders. It's impossible. So she is a girl

1002
00:58:14,960 --> 00:58:17,200
Speaker 1: and she wants to live as a boy, and she's

1003
00:58:17,240 --> 00:58:21,120
Speaker 1: felt that way since around the age eleven. The mom

1004
00:58:21,120 --> 00:58:26,400
Speaker 1: wants to give her puberty blocking puberty blockers and hormones

1005
00:58:26,600 --> 00:58:34,200
Speaker 1: male hormones. The dad says no, but the court said

1006
00:58:35,760 --> 00:58:38,680
Speaker 1: that the dad cannot stop the mom from doing this.

1007
00:58:39,360 --> 00:58:43,560
Speaker 1: And the court said that he cannot speak about this

1008
00:58:43,680 --> 00:58:47,400
Speaker 1: at all to the press, and if he did, it

1009
00:58:47,440 --> 00:58:51,880
Speaker 1: would be a form of family violence. He would be

1010
00:58:51,920 --> 00:58:58,000
Speaker 1: committing violence against his daughter if he tried to stop

1011
00:59:00,440 --> 00:59:07,240
Speaker 1: her mom from abusing her. So the dad did speak out,

1012
00:59:08,160 --> 00:59:09,840
Speaker 1: and the court wrote back. This is what the court said.

1013
00:59:09,880 --> 00:59:14,680
Speaker 1: The father's refusal to respect the boy's decision regarding his

1014
00:59:14,800 --> 00:59:17,960
Speaker 1: gender identity is troublesome. He was arrested. He's in jail

1015
00:59:18,040 --> 00:59:20,120
Speaker 1: right now. Could face up to five years in jail.

1016
00:59:21,720 --> 00:59:25,920
Speaker 1: He's in jail right now. He's in jail as we speak.

1017
00:59:26,320 --> 00:59:28,240
Speaker 1: I'm not making the story up. This isn't jeez. You know,

1018
00:59:28,280 --> 00:59:30,720
Speaker 1: if this law passes, maybe one day this crazy thing

1019
00:59:30,720 --> 00:59:33,000
Speaker 1: could happen. Now that's when George Peterson said years ago.

1020
00:59:33,080 --> 00:59:35,320
Speaker 1: Now we're there, the crazy thing is happening. Here's the

1021
00:59:35,360 --> 00:59:38,480
Speaker 1: original court order. The dad shall be restrained from one

1022
00:59:38,560 --> 00:59:42,840
Speaker 1: attempting to persuade the daughter his daughter to abandon treatment

1023
00:59:42,880 --> 00:59:47,240
Speaker 1: for gender dysphoria, addressing his daughter by his birth name,

1024
00:59:48,720 --> 00:59:51,680
Speaker 1: and three referring to his daughter as a girl or

1025
00:59:51,720 --> 00:59:59,240
Speaker 1: with female pronouns, whether to her directly or to third parties. Now,

1026
00:59:59,320 --> 01:00:02,120
Speaker 1: conservative let's have taken the story and they say they've

1027
01:00:02,160 --> 01:00:04,600
Speaker 1: been kind of they've been kind of characterizing it as Oh,

1028
01:00:04,640 --> 01:00:06,840
Speaker 1: he was arrested. For calling his daughter a girl and

1029
01:00:06,880 --> 01:00:10,640
Speaker 1: a she. A more accurate, like a little more nuance.

1030
01:00:10,640 --> 01:00:13,120
Speaker 1: A more accurate description is he was arrested for violating

1031
01:00:13,120 --> 01:00:16,680
Speaker 1: the court order that says he can't call her a

1032
01:00:16,800 --> 01:00:22,160
Speaker 1: she or do interviews and speak publicly about it. That's

1033
01:00:22,200 --> 01:00:24,120
Speaker 1: it was all those things that he was arrested for.

1034
01:00:24,200 --> 01:00:26,560
Speaker 1: But if your ex wife was abusing your daughter and

1035
01:00:26,720 --> 01:00:29,560
Speaker 1: making her sterile and destroying her life and mutilating her body,

1036
01:00:29,680 --> 01:00:34,200
Speaker 1: you better bet I'd be speaking out. Can you imagine

1037
01:00:34,200 --> 01:00:39,320
Speaker 1: the helplessness in front of your eyes as your ex

1038
01:00:39,320 --> 01:00:41,320
Speaker 1: wife is doing that to your daughter and the courts

1039
01:00:41,360 --> 01:00:48,120
Speaker 1: are protecting it, protecting the mom abusing her. That is

1040
01:00:48,160 --> 01:00:51,840
Speaker 1: absolute torture. So listen, We've talked to a ton of

1041
01:00:51,840 --> 01:00:55,560
Speaker 1: people on my local show who have de transitioned. Walter

1042
01:00:55,840 --> 01:00:59,080
Speaker 1: Walter Hayer excuse me, Walt higher is. He runs this

1043
01:00:59,080 --> 01:01:01,960
Speaker 1: group called sex Change Regret dot Com. Wonderful resource if

1044
01:01:01,960 --> 01:01:07,400
Speaker 1: you know anyone who is suffering from gender dysphoria, he

1045
01:01:07,480 --> 01:01:09,840
Speaker 1: says one and we talked to many people who have

1046
01:01:09,880 --> 01:01:12,600
Speaker 1: done this process as well. He says, one hundred percent

1047
01:01:12,640 --> 01:01:16,280
Speaker 1: of the time, there's a traumatic event in childhood that

1048
01:01:16,360 --> 01:01:22,640
Speaker 1: causes pain and confusion in a child, he said, one

1049
01:01:22,720 --> 01:01:25,720
Speaker 1: hundred said, I've worked with thousands of gender dysmorphic kids

1050
01:01:25,760 --> 01:01:29,480
Speaker 1: and adults. One hundred percent of the time there's a

1051
01:01:29,520 --> 01:01:32,800
Speaker 1: trauma that causes them to hate themselves and to want

1052
01:01:32,840 --> 01:01:36,240
Speaker 1: to cancel themselves and be someone else, thinking that would

1053
01:01:36,280 --> 01:01:38,440
Speaker 1: make the pain go away. He says, it needs to

1054
01:01:38,480 --> 01:01:40,520
Speaker 1: be dealt with psychologically, which is what the data is saying.

1055
01:01:41,160 --> 01:01:43,880
Speaker 1: But we have this massive movement today that believes that

1056
01:01:43,880 --> 01:01:48,120
Speaker 1: we need to treat this medically and mutilate and shoot

1057
01:01:48,200 --> 01:01:51,000
Speaker 1: kids full of hormones. This is insane. This is the

1058
01:01:51,040 --> 01:01:53,320
Speaker 1: most insane thing going on today. And the reason why

1059
01:01:53,360 --> 01:01:57,040
Speaker 1: this matters right other than just itself, is if the

1060
01:01:57,160 --> 01:02:01,240
Speaker 1: left can convince you to go along with this, they

1061
01:02:01,280 --> 01:02:04,640
Speaker 1: could convince you to go along with anything. If you

1062
01:02:04,720 --> 01:02:10,840
Speaker 1: do not take a stand against pumping little kids full

1063
01:02:10,840 --> 01:02:14,440
Speaker 1: of hormones, if you don't take a stand on the

1064
01:02:14,480 --> 01:02:17,720
Speaker 1: idea that there are two genders and you can't switch them,

1065
01:02:18,400 --> 01:02:21,560
Speaker 1: if you don't stand up for those truths, then there

1066
01:02:21,720 --> 01:02:25,480
Speaker 1: is nothing that they can't convince you and get you

1067
01:02:25,520 --> 01:02:28,440
Speaker 1: to follow along with There's nothing if they could givince

1068
01:02:28,480 --> 01:02:30,120
Speaker 1: a person to say that there's no such thing as gender,

1069
01:02:30,160 --> 01:02:32,560
Speaker 1: and you can switch genders please. They got them hook

1070
01:02:32,600 --> 01:02:34,960
Speaker 1: line and sinker. There's no there's no line that they'll

1071
01:02:35,000 --> 01:02:38,840
Speaker 1: then draw right once you're like, oh yeah, no, there's

1072
01:02:38,840 --> 01:02:40,760
Speaker 1: many genders that you can switch them all whenever you want.

1073
01:02:40,960 --> 01:02:42,520
Speaker 1: When are you gonna draw the line and be like,

1074
01:02:42,560 --> 01:02:45,360
Speaker 1: oh yeah, but don't you know, don't take away my

1075
01:02:45,400 --> 01:02:48,160
Speaker 1: second amendment? Right, It's like, no, you're way past that.

1076
01:02:48,880 --> 01:02:51,400
Speaker 1: You're way way past that. They're getting you to believe

1077
01:02:51,480 --> 01:02:56,560
Speaker 1: the most ridiculous thing conceivable, and there's no going back

1078
01:02:56,600 --> 01:03:02,680
Speaker 1: from that. So I'll tell you what happened to this family,

1079
01:03:02,960 --> 01:03:06,200
Speaker 1: what probably happened. It's a broken home. Clearly it was

1080
01:03:06,200 --> 01:03:08,880
Speaker 1: an unhappy time. Early on they got divorced. That's traumatic.

1081
01:03:09,120 --> 01:03:11,320
Speaker 1: And I guarantee you that this daughter thought, as all

1082
01:03:11,440 --> 01:03:14,720
Speaker 1: kids doing a divorce, that it was her fault. And

1083
01:03:14,760 --> 01:03:16,400
Speaker 1: I bet she thought maybe if I was a boy,

1084
01:03:16,440 --> 01:03:19,560
Speaker 1: this wouldn't have happened. I bet at one point in

1085
01:03:19,600 --> 01:03:21,880
Speaker 1: her childhood one of the parents said something like they've

1086
01:03:21,920 --> 01:03:26,920
Speaker 1: always wanted a son, or they maybe they brought her

1087
01:03:27,000 --> 01:03:32,280
Speaker 1: to I don't know, ballet, and the dad made some

1088
01:03:32,360 --> 01:03:35,280
Speaker 1: comment of oh, I wish I had a son. And

1089
01:03:35,280 --> 01:03:39,320
Speaker 1: we could go to wrestling practice or something. And the

1090
01:03:39,400 --> 01:03:44,320
Speaker 1: daughter internalized then of oh, if I was a boy,

1091
01:03:45,760 --> 01:03:47,720
Speaker 1: I would have been loved more, or if I was

1092
01:03:47,760 --> 01:03:51,920
Speaker 1: a boy than this divorce would have happened. Guarantee you

1093
01:03:51,920 --> 01:03:55,720
Speaker 1: it's something like that, if not physical abuse itself. She

1094
01:03:55,840 --> 01:03:58,800
Speaker 1: was looking for a way to express her pain. She

1095
01:03:58,840 --> 01:04:01,479
Speaker 1: was getting in trouble in school. Her dad said, hanging

1096
01:04:01,480 --> 01:04:03,840
Speaker 1: out with boys, cut off her hair, started wearing a toupee,

1097
01:04:04,160 --> 01:04:08,480
Speaker 1: attempted suicide. Clearly some serious mental health issues here. And

1098
01:04:08,600 --> 01:04:11,479
Speaker 1: the school that she goes to has a program called

1099
01:04:11,560 --> 01:04:15,520
Speaker 1: SOG one two three. Everyone has a sexual orientation and

1100
01:04:15,560 --> 01:04:19,760
Speaker 1: gender identity. That's s OGI Sexual Orientation, gender identity. It's

1101
01:04:19,800 --> 01:04:21,680
Speaker 1: the sex said program they have in Canada where they

1102
01:04:21,680 --> 01:04:25,280
Speaker 1: talk all about transgenderism. So the parents, this is actually

1103
01:04:25,280 --> 01:04:27,280
Speaker 1: what happened. What I talked before is this conjecture. This

1104
01:04:27,320 --> 01:04:30,120
Speaker 1: is what actually happened. The parents sent the daughter to

1105
01:04:30,160 --> 01:04:34,840
Speaker 1: the school counselor, and the counselor, trained in this woke,

1106
01:04:35,720 --> 01:04:41,560
Speaker 1: inclusive transsexual stuff, changed the daughter's name without telling the parents.

1107
01:04:43,000 --> 01:04:46,120
Speaker 1: So the daughter started going by a different name. I

1108
01:04:46,120 --> 01:04:47,720
Speaker 1: don't know, I don't know the girl's name. Her name

1109
01:04:47,760 --> 01:04:49,360
Speaker 1: is Mary, and now she goes by Bob okay so

1110
01:04:49,520 --> 01:04:51,360
Speaker 1: and the schools like, yep, you're Bob. Let's do it.

1111
01:04:51,400 --> 01:04:54,200
Speaker 1: You're Bob. She canceled herself. The thing about think Out

1112
01:04:54,240 --> 01:04:56,200
Speaker 1: said this is this girl hates herself so much. She

1113
01:04:56,280 --> 01:04:58,280
Speaker 1: wanted to run from herself and her life so much.

1114
01:04:58,440 --> 01:05:01,320
Speaker 1: She canceled herself, made up a new identity, and the

1115
01:05:01,440 --> 01:05:07,000
Speaker 1: school endorsed this and celebrated this and encouraged this, and

1116
01:05:07,080 --> 01:05:10,120
Speaker 1: the school forwarded her to this person, doctor Wallace Wong,

1117
01:05:10,280 --> 01:05:12,760
Speaker 1: who works in Canada and down the street from my

1118
01:05:12,800 --> 01:05:16,440
Speaker 1: house in San Diego. This doctor got in trouble a

1119
01:05:16,440 --> 01:05:21,240
Speaker 1: while back. I was given a seminar to parents of

1120
01:05:21,320 --> 01:05:23,840
Speaker 1: transgender kids and they were wondering how to get more

1121
01:05:23,960 --> 01:05:27,360
Speaker 1: money from the Canadian government. And this doctor said, so,

1122
01:05:27,440 --> 01:05:31,240
Speaker 1: what you need is to pull a stunt suicide every time,

1123
01:05:31,480 --> 01:05:34,200
Speaker 1: then they'll give you what you need. Kids learn that

1124
01:05:34,640 --> 01:05:38,600
Speaker 1: very fast. So they forwarded to this quack doctor who

1125
01:05:38,600 --> 01:05:41,919
Speaker 1: thought that this girl needed puberty blockers when she really

1126
01:05:41,920 --> 01:05:46,480
Speaker 1: needed therapy. And now here we are, this is exactly

1127
01:05:46,520 --> 01:05:51,200
Speaker 1: what Jordan Peterson was talking about. And it's all done

1128
01:05:51,240 --> 01:05:53,600
Speaker 1: in the name of this dad is committing family violence.

1129
01:05:54,600 --> 01:06:01,480
Speaker 1: So if you don't acknowledge your kids prefer gender, it's violent. Now,

1130
01:06:01,520 --> 01:06:04,040
Speaker 1: this was during a divorce, which means the courts had

1131
01:06:04,080 --> 01:06:07,960
Speaker 1: some role in this, right. I wonder what happens, what

1132
01:06:08,000 --> 01:06:10,200
Speaker 1: will happen or when it will happen in a marriage,

1133
01:06:10,240 --> 01:06:14,000
Speaker 1: in a married family, when the father doesn't want to

1134
01:06:14,040 --> 01:06:16,160
Speaker 1: go along with this, and it's called a child abuser,

1135
01:06:17,360 --> 01:06:20,200
Speaker 1: we'll CPS get involved. Then just about our time, right,

1136
01:06:21,000 --> 01:06:22,560
Speaker 1: I got a clip I want to play next of

1137
01:06:22,560 --> 01:06:27,360
Speaker 1: a testimony inside in front of a Missouri in Missouri

1138
01:06:28,160 --> 01:06:31,440
Speaker 1: from a dad who says his boy is a girl.

1139
01:06:32,320 --> 01:06:34,000
Speaker 1: And I want to play that for you next, and

1140
01:06:34,040 --> 01:06:36,400
Speaker 1: you can see how far down this road we've gone

1141
01:06:36,440 --> 01:06:38,840
Speaker 1: too far. Mike's later, filling in for Buck Sexton, spread

1142
01:06:38,880 --> 01:06:41,640
Speaker 1: the word, Hey, team Buck. Mike's slater San Diego filling

1143
01:06:41,640 --> 01:06:43,120
Speaker 1: in for Buck Sexton. Thanks for being her, Thanks for

1144
01:06:43,160 --> 01:06:45,440
Speaker 1: sticking around. This is a video that was sent out

1145
01:06:45,440 --> 01:06:49,919
Speaker 1: by the ACLU. This is the father of a transgender daughter. Again,

1146
01:06:49,920 --> 01:06:52,360
Speaker 1: there's notice things transgender. This is a father of a daughter,

1147
01:06:54,440 --> 01:06:57,760
Speaker 1: father of a girl who wants to live as a boy. No, no,

1148
01:06:57,760 --> 01:07:00,640
Speaker 1: no other way around, flip it around. This is the

1149
01:07:00,680 --> 01:07:03,400
Speaker 1: father of a boy who wants to live as a girl.

1150
01:07:04,080 --> 01:07:06,240
Speaker 1: And he's speaking in front of the Missouri House of

1151
01:07:06,280 --> 01:07:10,080
Speaker 1: Representatives about his experience, and he starts off saying that,

1152
01:07:10,160 --> 01:07:11,760
Speaker 1: you know, people don't get it, and he says I

1153
01:07:11,800 --> 01:07:15,520
Speaker 1: didn't get it when this is all first happening. But

1154
01:07:15,680 --> 01:07:17,520
Speaker 1: here's what he says to me again, this is a

1155
01:07:17,640 --> 01:07:23,000
Speaker 1: boy he's talking about. For years, I would not let

1156
01:07:23,080 --> 01:07:25,040
Speaker 1: my daughter wear a girl clothes. I did not let

1157
01:07:25,080 --> 01:07:27,560
Speaker 1: her play with girl toys. I forced my daughter to

1158
01:07:27,600 --> 01:07:32,360
Speaker 1: wear boy clothes and get short haircuts, play on boys

1159
01:07:32,440 --> 01:07:36,440
Speaker 1: sports teams. Why did I do this to protect my child?

1160
01:07:37,320 --> 01:07:39,560
Speaker 1: I did not want my daughter or her siblings to

1161
01:07:39,600 --> 01:07:42,240
Speaker 1: get teased, and truth be told, I didn't to protect

1162
01:07:42,280 --> 01:07:45,720
Speaker 1: myself as well. I wanted to avoid those inevitable questions

1163
01:07:46,400 --> 01:07:48,919
Speaker 1: as to why my child did not look and act

1164
01:07:48,960 --> 01:07:53,360
Speaker 1: like a boy. My child was miserable. I cannot overstate

1165
01:07:53,440 --> 01:07:57,680
Speaker 1: that she was absolutely miserable, especially at school. No confidence,

1166
01:07:57,760 --> 01:08:02,120
Speaker 1: no friends, no laughter. I honestly say this. I had

1167
01:08:02,160 --> 01:08:06,320
Speaker 1: a child who did not smile. We did that for years.

1168
01:08:06,360 --> 01:08:09,440
Speaker 1: We did that against the advice of teachers, therapists, and

1169
01:08:09,520 --> 01:08:14,240
Speaker 1: other experts. I remember the day everything changed for me.

1170
01:08:14,800 --> 01:08:18,360
Speaker 1: I'd gotten home from work and my daughter and her

1171
01:08:18,400 --> 01:08:22,519
Speaker 1: brother were in the front Juan and she had my

1172
01:08:22,600 --> 01:08:25,639
Speaker 1: daughter had sneaked on one of her older sister's play

1173
01:08:25,720 --> 01:08:28,080
Speaker 1: dresses and they wanted to go across the street and

1174
01:08:28,120 --> 01:08:30,439
Speaker 1: play with the neighbors kids. It was time for dinner.

1175
01:08:30,479 --> 01:08:33,639
Speaker 1: I said, come in. She asked, can she go across

1176
01:08:33,680 --> 01:08:38,040
Speaker 1: the street? I said no. She asked me if she

1177
01:08:38,240 --> 01:08:41,320
Speaker 1: if she went inside and put on boy clothes, could

1178
01:08:41,360 --> 01:08:46,040
Speaker 1: she then go across the street and play. And it's

1179
01:08:46,080 --> 01:08:48,520
Speaker 1: then that it hit me that my daughter was equating

1180
01:08:48,640 --> 01:08:52,080
Speaker 1: being good with being someone else. I was teaching her

1181
01:08:52,120 --> 01:08:55,559
Speaker 1: to deny who she is. As a parent, the one

1182
01:08:55,640 --> 01:09:00,960
Speaker 1: thing we cannot do, the one thing is silence child's spirit.

1183
01:09:01,800 --> 01:09:04,799
Speaker 1: And so on that day, my wife and I stopped

1184
01:09:04,840 --> 01:09:08,920
Speaker 1: silencing our child's spirit. The moment we allowed my daughter

1185
01:09:09,160 --> 01:09:12,240
Speaker 1: to be who she is, to grow her hair, to

1186
01:09:12,280 --> 01:09:15,160
Speaker 1: wear the clothes she wanted to wear, she was a

1187
01:09:15,200 --> 01:09:17,600
Speaker 1: different child. And I mean it was immediate. It was

1188
01:09:17,640 --> 01:09:23,360
Speaker 1: a total transformation. I now have a so a couple

1189
01:09:23,400 --> 01:09:27,880
Speaker 1: of things. First, the same people who say we need

1190
01:09:27,880 --> 01:09:34,400
Speaker 1: to get rid of gender stereotypes also say my son

1191
01:09:34,680 --> 01:09:39,280
Speaker 1: wants to wear a dress, therefore he's a girl, which

1192
01:09:39,439 --> 01:09:43,720
Speaker 1: is a gender stereotype. Oh my son wants long hair,

1193
01:09:43,880 --> 01:09:49,000
Speaker 1: he must be a girl, Andrew Sullivan writer, He says,

1194
01:09:49,040 --> 01:09:51,240
Speaker 1: I remember my grandmother telling my mom that I wasn't

1195
01:09:51,280 --> 01:09:54,479
Speaker 1: a real boy. Thank god, my parents insisted that this

1196
01:09:54,600 --> 01:10:02,360
Speaker 1: atypical boy could very much be atypical and a boy. Right,

1197
01:10:02,520 --> 01:10:06,640
Speaker 1: so we gotta understand this fully. There's people who like

1198
01:10:06,760 --> 01:10:10,760
Speaker 1: me who say boys were boyclothes, girls wear girl clothes. Okay,

1199
01:10:10,800 --> 01:10:13,040
Speaker 1: that's very out of fashion right now, you can't say

1200
01:10:13,080 --> 01:10:14,360
Speaker 1: such a thing like that, But I stand with that

1201
01:10:14,400 --> 01:10:16,680
Speaker 1: boys wear boy clothes, girl wear girl clothes. Right. Then

1202
01:10:16,720 --> 01:10:20,320
Speaker 1: there's people who say, okay, boys can be more feminine,

1203
01:10:20,400 --> 01:10:22,479
Speaker 1: girls can be a little more mask Then, okay, that's fine,

1204
01:10:22,479 --> 01:10:26,240
Speaker 1: all right, whatever, it's a whole new level to say,

1205
01:10:26,439 --> 01:10:29,920
Speaker 1: oh my son likes girl clothes and long hair, he's

1206
01:10:29,920 --> 01:10:35,799
Speaker 1: now my daughter. My son likes girl clothes and dolls,

1207
01:10:36,120 --> 01:10:39,040
Speaker 1: he's now a girl. Let's get him on the fast

1208
01:10:39,120 --> 01:10:42,000
Speaker 1: road to puberty. Blockers in general mutilation and pretend that

1209
01:10:42,080 --> 01:10:44,920
Speaker 1: we can make his body match his spirit. And then

1210
01:10:45,080 --> 01:10:49,639
Speaker 1: they're the good guys, They're the noble, virtuous, compassionate ones.

1211
01:10:49,840 --> 01:10:54,400
Speaker 1: How are people falling for this there's another video of

1212
01:10:54,400 --> 01:10:56,800
Speaker 1: making the rounds of a It's a man who's living

1213
01:10:56,840 --> 01:10:59,240
Speaker 1: as a woman, sitting on a bed and he's talking

1214
01:10:59,280 --> 01:11:06,439
Speaker 1: to a little boy. No, no, little yeah, he's talking

1215
01:11:06,439 --> 01:11:08,160
Speaker 1: to a little girl. Says starting to a little girl.

1216
01:11:09,479 --> 01:11:13,040
Speaker 1: And the man says, do you like doing quiet girly

1217
01:11:13,080 --> 01:11:16,559
Speaker 1: activities or do you like jumping around and being crazy

1218
01:11:16,560 --> 01:11:20,760
Speaker 1: and tackling everybody? And the girl says boy activities, and

1219
01:11:20,760 --> 01:11:24,320
Speaker 1: then the pervert goes, oh, that means you're transgender. And

1220
01:11:24,400 --> 01:11:26,519
Speaker 1: that's okay, that's just what it's called. And it's like,

1221
01:11:26,560 --> 01:11:28,880
Speaker 1: oh you, that's that's a bit of a leading question.

1222
01:11:29,160 --> 01:11:32,280
Speaker 1: Do you like doing lame, quiet girly things or do

1223
01:11:32,320 --> 01:11:36,000
Speaker 1: you like being awesome? Oh? You like being awesome? That

1224
01:11:36,000 --> 01:11:42,360
Speaker 1: means your transgender kids like six, do not let this stand.

1225
01:11:43,479 --> 01:11:48,360
Speaker 1: You cannot let this go on anymore. But things are

1226
01:11:48,479 --> 01:11:53,280
Speaker 1: so twisted, so messed up that if your daughter comes

1227
01:11:53,280 --> 01:11:56,200
Speaker 1: to you and says I want to become a boy,

1228
01:11:57,240 --> 01:12:00,760
Speaker 1: if you say if, and if you do things that

1229
01:12:00,880 --> 01:12:06,400
Speaker 1: helps your daughter be comfortable as a girl, you're committing

1230
01:12:06,400 --> 01:12:11,439
Speaker 1: the sin of gender conversion. Right, So your daughter comes

1231
01:12:11,479 --> 01:12:12,840
Speaker 1: to you and says I want to be a boy,

1232
01:12:12,880 --> 01:12:15,240
Speaker 1: and you help your daughter be comfortable as a girl,

1233
01:12:15,479 --> 01:12:20,640
Speaker 1: that's gender conversion. If you pump your daughter full of

1234
01:12:20,680 --> 01:12:24,280
Speaker 1: puberty blockers and hormones and give her a double mestectomy,

1235
01:12:24,800 --> 01:12:31,679
Speaker 1: that's gender affirmation. See how backwards it is. You must

1236
01:12:31,680 --> 01:12:33,640
Speaker 1: stop this now. This is the point of propagandist to

1237
01:12:33,640 --> 01:12:35,559
Speaker 1: get you to believe the most ridiculous things possible, and

1238
01:12:35,560 --> 01:12:36,840
Speaker 1: then once you believe that, they can get you to

1239
01:12:36,840 --> 01:12:40,200
Speaker 1: believe anything. That's what this whole transgender thing is all about.

1240
01:12:40,560 --> 01:12:43,320
Speaker 1: Coming up next, I want to talk about why so

1241
01:12:43,360 --> 01:12:46,880
Speaker 1: many people in our culture seek victimhood status. Why do

1242
01:12:46,960 --> 01:12:48,840
Speaker 1: they seek it and celebrate it? We used to be

1243
01:12:48,840 --> 01:12:54,280
Speaker 1: a country that celebrated overcoming obstacles. What has changed? We'll

1244
01:12:54,280 --> 01:12:56,280
Speaker 1: talk about that next. Mike Slater in San Diego, filling

1245
01:12:56,280 --> 01:12:59,360
Speaker 1: in for Buck Sexton's bread the word Team Buck. Mike

1246
01:12:59,600 --> 01:13:01,800
Speaker 1: Slay here in San Diego filling it for the Great

1247
01:13:01,800 --> 01:13:03,960
Speaker 1: Bucks Sexton. Thanks for having me, and thanks not for

1248
01:13:04,120 --> 01:13:07,080
Speaker 1: changing the station right away immediately when you don't hear

1249
01:13:07,479 --> 01:13:11,920
Speaker 1: Bucks voice Bucks the man, but he'll be back very soon.

1250
01:13:12,560 --> 01:13:14,080
Speaker 1: It's an honor to fill in for the Great Bucks

1251
01:13:14,080 --> 01:13:16,080
Speaker 1: as we've been friends for a long time, so really

1252
01:13:16,120 --> 01:13:18,080
Speaker 1: cool to sit in for him. I want to talk

1253
01:13:18,080 --> 01:13:21,759
Speaker 1: about victimhood. Have you ever wondered why so many people

1254
01:13:22,280 --> 01:13:28,000
Speaker 1: in our culture today seek out victimhood? They seek out

1255
01:13:28,000 --> 01:13:34,400
Speaker 1: they declare themselves victim, They celebrate they're victimhood. People are

1256
01:13:34,479 --> 01:13:39,320
Speaker 1: tripping over themselves to tell everyone what a victim they are.

1257
01:13:39,720 --> 01:13:44,360
Speaker 1: That's weird, that's a new thing. We used to want

1258
01:13:44,560 --> 01:13:50,120
Speaker 1: to be seen as someone who overcomes difficult things in life, right,

1259
01:13:50,120 --> 01:13:51,519
Speaker 1: You didn't want to be seen as a victim. You

1260
01:13:51,560 --> 01:13:53,040
Speaker 1: do anything to not be seen as a victim. You're

1261
01:13:53,080 --> 01:13:57,200
Speaker 1: someone who overcomes trials. There would be an obstacle in

1262
01:13:57,240 --> 01:14:00,240
Speaker 1: front of you, and you would want people to see

1263
01:14:00,280 --> 01:14:05,920
Speaker 1: you overcome it. The larger the obstacle, the greater the triumph.

1264
01:14:05,960 --> 01:14:09,760
Speaker 1: But today there's an obstacle in front of you, and

1265
01:14:09,880 --> 01:14:12,160
Speaker 1: you just you tell everyone how you like you. I

1266
01:14:12,240 --> 01:14:17,320
Speaker 1: can't even and it's backwards. It's the smaller the obstacle,

1267
01:14:17,720 --> 01:14:21,320
Speaker 1: the greater the triumph. Right. It's it's a contest to

1268
01:14:21,400 --> 01:14:25,360
Speaker 1: see who can be offended by the most mundane, simple

1269
01:14:25,840 --> 01:14:30,280
Speaker 1: everyday things. Right. So someone's like, oh, I'm offended by

1270
01:14:30,479 --> 01:14:34,599
Speaker 1: mister potato head. No, well, I'm offended by Antiemimah, Oh well,

1271
01:14:34,640 --> 01:14:37,559
Speaker 1: I'm offended by cat in the hat. Oh well, I'm

1272
01:14:37,600 --> 01:14:41,040
Speaker 1: offended by the fact that they sell cotton at hobby lobby.

1273
01:14:41,160 --> 01:14:43,840
Speaker 1: That's my favorite of all this, right, And it's just

1274
01:14:43,920 --> 01:14:48,080
Speaker 1: people just trying to out offend or out be offended,

1275
01:14:48,080 --> 01:14:52,160
Speaker 1: out victimhood other people with smaller and smaller offenses. But again,

1276
01:14:52,200 --> 01:14:54,439
Speaker 1: for all of our history, it's been people trying to

1277
01:14:54,640 --> 01:14:57,439
Speaker 1: prove how much better they are by the bigger things

1278
01:14:57,439 --> 01:15:01,000
Speaker 1: they've overcome. It's we got it totally backwards. The tinier

1279
01:15:01,080 --> 01:15:03,200
Speaker 1: the object, the more fragile you are, the more sensitive

1280
01:15:03,240 --> 01:15:05,679
Speaker 1: you are at the smallest total sites proves how weak

1281
01:15:05,840 --> 01:15:09,000
Speaker 1: you are, and this is seen as a good thing.

1282
01:15:09,320 --> 01:15:11,960
Speaker 1: How did that happen? That's what I want to talk

1283
01:15:12,000 --> 01:15:16,280
Speaker 1: about here. So I think what we're seeing there's a

1284
01:15:16,320 --> 01:15:19,080
Speaker 1: lot of forces. Surely this is one element. Is a

1285
01:15:19,120 --> 01:15:26,400
Speaker 1: lot of self imposed oppression, self imposed people oppressing themselves,

1286
01:15:26,439 --> 01:15:29,679
Speaker 1: and people choosing to live a life of oppression. They're

1287
01:15:29,760 --> 01:15:33,000
Speaker 1: choosing it. Surely there used to be actual oppression, but

1288
01:15:33,040 --> 01:15:35,839
Speaker 1: that's not the situation anymore. So why would someone choose

1289
01:15:36,920 --> 01:15:39,040
Speaker 1: to live opressed, Why would someone choose to pretend to

1290
01:15:39,040 --> 01:15:42,080
Speaker 1: be oppressed? Why would someone choose to pretend to be

1291
01:15:42,120 --> 01:15:44,120
Speaker 1: a victim, especially, I mean there's a lot of hate

1292
01:15:44,160 --> 01:15:46,479
Speaker 1: crime hoaxes, right, Why would someone do that? Why would

1293
01:15:46,520 --> 01:15:52,519
Speaker 1: you make up a victimhood story? When I say the

1294
01:15:52,520 --> 01:15:55,800
Speaker 1: thing about Jose Smalatt, right, Jesse Smalatt, member, he made

1295
01:15:55,840 --> 01:15:58,320
Speaker 1: up the whole story about getting beat up in New

1296
01:15:58,400 --> 01:16:00,960
Speaker 1: York City. It was like ten degrees the whole thing. Right,

1297
01:16:02,560 --> 01:16:06,200
Speaker 1: You'd think the story would be, Oh, these guys came

1298
01:16:06,200 --> 01:16:07,760
Speaker 1: out of nowhere and tried to beat me up, and

1299
01:16:07,800 --> 01:16:11,000
Speaker 1: I just crushed him. I wrecked him, I destroyed him,

1300
01:16:11,200 --> 01:16:13,880
Speaker 1: I beat him up, and I ran away scared. Right,

1301
01:16:13,920 --> 01:16:16,160
Speaker 1: you think it could be that, But it wasn't. Oh

1302
01:16:17,080 --> 01:16:19,320
Speaker 1: I got beat up by well, Like, why why are

1303
01:16:19,320 --> 01:16:21,680
Speaker 1: you pretending to If you're gonna make something up, at

1304
01:16:21,720 --> 01:16:25,000
Speaker 1: least make yourself up to be the victor. Why would

1305
01:16:25,000 --> 01:16:26,400
Speaker 1: you make yourself up to be the poor victim and

1306
01:16:26,400 --> 01:16:29,360
Speaker 1: the whole thing? Okay, so what's this about? Let's back

1307
01:16:29,360 --> 01:16:34,919
Speaker 1: it up. Have you ever heard of Munchausen syndrome. Munchausen syndrome.

1308
01:16:35,000 --> 01:16:36,800
Speaker 1: It's got an interesting story. I won't bore you with it.

1309
01:16:36,840 --> 01:16:40,000
Speaker 1: But there was a guy named Munchausen. He was a

1310
01:16:40,000 --> 01:16:42,519
Speaker 1: baron in Germany and he was fighting these wars, or

1311
01:16:42,600 --> 01:16:44,719
Speaker 1: he fought in a war in the early seventeen hundreds,

1312
01:16:45,160 --> 01:16:46,559
Speaker 1: and he would come back home and he made up

1313
01:16:46,560 --> 01:16:50,559
Speaker 1: these wildly exaggerated stories about his military exploits abroad. And

1314
01:16:50,640 --> 01:16:52,760
Speaker 1: there was a writer at the time who wrote a

1315
01:16:52,800 --> 01:16:56,480
Speaker 1: book and the main character's name was Munchausen, and Munchausen

1316
01:16:56,520 --> 01:17:00,920
Speaker 1: would make up these ridiculous stories about he fought a

1317
01:17:01,080 --> 01:17:04,280
Speaker 1: forty foot crocodile, and he rode on top of a cannonball,

1318
01:17:04,360 --> 01:17:06,760
Speaker 1: and he traveled to the moon and all these So

1319
01:17:07,040 --> 01:17:12,320
Speaker 1: Munchausen became a word to describe wild, bombastic, absurd claims

1320
01:17:12,400 --> 01:17:17,320
Speaker 1: out of nowhere. That was Munchausen. So was late seventeen hundreds.

1321
01:17:17,400 --> 01:17:19,960
Speaker 1: Fast forward nineteen fifty one. There was a British doctor

1322
01:17:20,439 --> 01:17:23,040
Speaker 1: who worked at the mental psych ward and he noticed

1323
01:17:23,040 --> 01:17:27,759
Speaker 1: people making up illnesses and he called it Munchausen's syndrome

1324
01:17:28,160 --> 01:17:32,880
Speaker 1: after the baron, people making up stories, people making up illnesses.

1325
01:17:34,320 --> 01:17:37,759
Speaker 1: He's like, this is odd. So you got Munchausen, people

1326
01:17:37,800 --> 01:17:40,879
Speaker 1: making up illnesses. Then you have something called Munchausen by proxy.

1327
01:17:41,479 --> 01:17:45,559
Speaker 1: This is when somebody intentionally makes somebody else sick, like

1328
01:17:45,640 --> 01:17:48,519
Speaker 1: somebody in their care. If you remember the sixth sense,

1329
01:17:48,880 --> 01:17:51,400
Speaker 1: that's what that was about. Right, So you make a

1330
01:17:51,520 --> 01:17:55,160
Speaker 1: child sick in order to get attention in sympathy for you.

1331
01:17:55,160 --> 01:17:57,479
Speaker 1: You can make like, if there's an older person who's

1332
01:17:57,520 --> 01:17:59,160
Speaker 1: under your care, you make them sick in order to

1333
01:17:59,160 --> 01:18:02,400
Speaker 1: get attention for you. That's munch housing by proxy. Then

1334
01:18:02,560 --> 01:18:07,280
Speaker 1: you have munch housed by Internet. Right. This is when

1335
01:18:07,280 --> 01:18:10,400
Speaker 1: people make up illnesses or tragedies in their life to

1336
01:18:10,920 --> 01:18:14,000
Speaker 1: get sympathy and attention from others on the internet. And

1337
01:18:14,040 --> 01:18:16,000
Speaker 1: the Internet is perfect for this because no one can

1338
01:18:16,040 --> 01:18:18,160
Speaker 1: tell if you're lying or not. And we all know this,

1339
01:18:18,240 --> 01:18:21,080
Speaker 1: and some people do this genuinely, right, And it's not

1340
01:18:21,520 --> 01:18:24,320
Speaker 1: meant although maybe it kind of still is. But like

1341
01:18:24,320 --> 01:18:26,160
Speaker 1: if you put something on Facebook and you get like

1342
01:18:26,200 --> 01:18:28,880
Speaker 1: three likes and a comment, right, But then you put

1343
01:18:28,880 --> 01:18:33,800
Speaker 1: something about your dog being sick or something, you get

1344
01:18:34,000 --> 01:18:37,479
Speaker 1: a thousand likes and you know, a million comments about

1345
01:18:37,479 --> 01:18:39,240
Speaker 1: how sorry they are for the right whole thing. Right,

1346
01:18:40,400 --> 01:18:46,559
Speaker 1: that's munch housing by Internet. And some people just lie

1347
01:18:46,800 --> 01:18:53,880
Speaker 1: about things. So here's this doctor who sees these people

1348
01:18:53,920 --> 01:18:58,240
Speaker 1: making up illnesses and he says their lies had no purpose.

1349
01:18:59,720 --> 01:19:01,920
Speaker 1: They did not want to defraud the state or solicit

1350
01:19:01,960 --> 01:19:05,880
Speaker 1: charitable donations in pursuit of nothing more than attention and

1351
01:19:06,000 --> 01:19:10,000
Speaker 1: an audience. They were willing to tolerate painful and intrusive

1352
01:19:10,000 --> 01:19:14,280
Speaker 1: medical procedures. The most remarkable feature of the syndrome is

1353
01:19:14,320 --> 01:19:18,320
Speaker 1: the apparent senselessness of it. So I want to argue

1354
01:19:18,320 --> 01:19:23,280
Speaker 1: here that this victimhood status that people seek, it's actually

1355
01:19:23,360 --> 01:19:25,720
Speaker 1: not that senseless. It makes a lot of sense in

1356
01:19:25,760 --> 01:19:28,080
Speaker 1: a twisted way. They have a reason for it. The

1357
01:19:28,120 --> 01:19:32,320
Speaker 1: people who make up their victimhood. I think a lot

1358
01:19:32,320 --> 01:19:40,479
Speaker 1: of people have lived either a traumatic life or they've

1359
01:19:40,479 --> 01:19:44,479
Speaker 1: had a traumatic experience in their life and they're not

1360
01:19:44,600 --> 01:19:47,320
Speaker 1: getting They have never gotten the attention they think it deserved.

1361
01:19:49,439 --> 01:19:54,080
Speaker 1: Or people have lived a very boring, meaningless life and

1362
01:19:54,200 --> 01:20:00,320
Speaker 1: have not received any detention that they've always wanted. Because

1363
01:20:00,320 --> 01:20:03,000
Speaker 1: they haven't gotten the attention they deserved or the attention

1364
01:20:03,040 --> 01:20:06,799
Speaker 1: they wanted, they attached themselves to a much larger event

1365
01:20:07,600 --> 01:20:10,920
Speaker 1: in order to get some attention from that. And give

1366
01:20:10,920 --> 01:20:13,760
Speaker 1: me some examples. Ninety eight, there were two people who

1367
01:20:13,760 --> 01:20:18,479
Speaker 1: performed at a Holocaust remembrance event. It's a concert and

1368
01:20:18,520 --> 01:20:22,519
Speaker 1: they were child survivors of the Holocaust, so it's this

1369
01:20:22,600 --> 01:20:25,840
Speaker 1: beautiful event. They each had these haunting, heroic stories of

1370
01:20:26,560 --> 01:20:30,240
Speaker 1: the pain and the torture that they experienced inside concentration camps,

1371
01:20:30,240 --> 01:20:32,120
Speaker 1: and they talked about how they both escaped and survived

1372
01:20:32,280 --> 01:20:35,680
Speaker 1: and amazing stories. They wrote books about it, and they

1373
01:20:35,680 --> 01:20:38,760
Speaker 1: traveled around the world talking about it. Well, someone said, hey,

1374
01:20:38,800 --> 01:20:40,880
Speaker 1: you two should go get some lunch together and share

1375
01:20:40,920 --> 01:20:42,760
Speaker 1: your stories. So they did. They got lunch, and it

1376
01:20:42,760 --> 01:20:49,880
Speaker 1: turns out they were both lying, both of them. They

1377
01:20:49,960 --> 01:20:53,759
Speaker 1: both made it all up. Why they each lived traumatic lives,

1378
01:20:56,080 --> 01:20:58,639
Speaker 1: and they wanted to be attached to something of meaning,

1379
01:21:00,160 --> 01:21:02,000
Speaker 1: and they did it by claiming to be a victim

1380
01:21:02,160 --> 01:21:05,160
Speaker 1: of a terrible thing, and they got the sympathy that

1381
01:21:05,240 --> 01:21:09,000
Speaker 1: they've always wanted. They didn't get sympathy for the actual

1382
01:21:09,080 --> 01:21:11,920
Speaker 1: trauma that they did experience in their lives, but that

1383
01:21:11,960 --> 01:21:15,600
Speaker 1: didn't matter. They were getting sympathy. Whether they lied to

1384
01:21:15,640 --> 01:21:19,680
Speaker 1: get it didn't matter. They were getting it. And this

1385
01:21:19,720 --> 01:21:22,599
Speaker 1: happens to an extent in every traumatic event. Another dramatic one,

1386
01:21:22,680 --> 01:21:26,720
Speaker 1: nine to eleven. There's one woman. She was on the

1387
01:21:26,760 --> 01:21:30,760
Speaker 1: seventy eighth floor and she survived, and she spun this

1388
01:21:30,840 --> 01:21:33,680
Speaker 1: harrowing tale. There was at one point there was a

1389
01:21:33,680 --> 01:21:36,720
Speaker 1: man who was dying, and he told her to give

1390
01:21:36,760 --> 01:21:39,720
Speaker 1: his wedding ring to as soon to be widow, and

1391
01:21:39,800 --> 01:21:42,280
Speaker 1: she promised she would, And she was telling all these

1392
01:21:42,320 --> 01:21:46,519
Speaker 1: stories and none of it happened. Nine eleven did, of course,

1393
01:21:46,560 --> 01:21:50,080
Speaker 1: but she wasn't there. She was a nurse in Spain.

1394
01:21:52,680 --> 01:21:54,599
Speaker 1: She wasn't even in the country. She was in Spain.

1395
01:21:55,439 --> 01:21:58,320
Speaker 1: She never profited from this, She didn't write a book

1396
01:21:58,360 --> 01:22:01,599
Speaker 1: or anything. She just wanted to feel connected to it

1397
01:22:03,040 --> 01:22:05,240
Speaker 1: for her own emotional benefit. It gave her a meaning.

1398
01:22:05,360 --> 01:22:09,000
Speaker 1: It was a type of Munchhausen syndrome. And like I said,

1399
01:22:09,000 --> 01:22:11,000
Speaker 1: every traumatic event people do this to a different degree

1400
01:22:11,000 --> 01:22:12,880
Speaker 1: because we're just super narcissistic all the time. So we

1401
01:22:12,960 --> 01:22:15,040
Speaker 1: like to center ourselves into every story that exists. So

1402
01:22:15,080 --> 01:22:18,320
Speaker 1: every time there's a natural disaster, hurricane Sounami's shooting, fire,

1403
01:22:18,560 --> 01:22:20,120
Speaker 1: I guess the shooting is not a natural disaster, but

1404
01:22:20,120 --> 01:22:23,240
Speaker 1: any disaster, right, people always want to center themselves. Right,

1405
01:22:25,360 --> 01:22:29,479
Speaker 1: where were you when that whole thing? Oh, when I

1406
01:22:29,640 --> 01:22:32,160
Speaker 1: first heard about it, me and my family we evacuated

1407
01:22:32,240 --> 01:22:34,160
Speaker 1: here and we did this in our house. That and

1408
01:22:34,160 --> 01:22:36,080
Speaker 1: whatever right, it's all. It always ends up being about us,

1409
01:22:36,080 --> 01:22:40,120
Speaker 1: so we all do it to an extent. I gotta

1410
01:22:40,120 --> 01:22:41,840
Speaker 1: take a break here because I got part two coming up.

1411
01:22:41,880 --> 01:22:43,960
Speaker 1: But here, here's my first argument. It's something to think about,

1412
01:22:44,000 --> 01:22:47,200
Speaker 1: something to chew on. Here. Many of the racial grievances

1413
01:22:47,240 --> 01:22:55,320
Speaker 1: today are first or one people who have had lives

1414
01:22:55,360 --> 01:22:59,840
Speaker 1: with trauma, and they feel like the trauma has not

1415
01:22:59,880 --> 01:23:04,280
Speaker 1: been given the sympathy it deserves. Why do not enough

1416
01:23:04,320 --> 01:23:06,760
Speaker 1: people feel bad for me that I was abused? Why

1417
01:23:06,760 --> 01:23:08,439
Speaker 1: do not enough people feel bad for me that I

1418
01:23:08,479 --> 01:23:10,599
Speaker 1: grew up poor? Why do not enough people feel bad

1419
01:23:10,640 --> 01:23:12,360
Speaker 1: for me that I was bullied in school? Why do

1420
01:23:12,439 --> 01:23:16,000
Speaker 1: people not feel bad enough for me because of this trauma?

1421
01:23:16,080 --> 01:23:18,479
Speaker 1: And they're not getting it? So they associate themselves as

1422
01:23:18,560 --> 01:23:22,639
Speaker 1: victims of well, when when it's coming to racial grievance,

1423
01:23:22,880 --> 01:23:25,000
Speaker 1: they attach themselves as victims of the one of the

1424
01:23:25,040 --> 01:23:28,920
Speaker 1: greatest tragedies in history, slavery. I don't get enough attention.

1425
01:23:28,960 --> 01:23:30,839
Speaker 1: I don't get enough attention. I haven't got enough attention

1426
01:23:30,840 --> 01:23:32,679
Speaker 1: for this trauma in my life. So I'm just gonna

1427
01:23:32,720 --> 01:23:37,559
Speaker 1: say I'm a victim of the legacy of slavery? Are

1428
01:23:37,600 --> 01:23:40,800
Speaker 1: you well? No? No more than that that those people

1429
01:23:40,800 --> 01:23:42,720
Speaker 1: who said they were Holocaust survivors or the woman who

1430
01:23:42,720 --> 01:23:44,559
Speaker 1: said she was a nine eleven survivor while in Spain,

1431
01:23:44,640 --> 01:23:46,519
Speaker 1: you're not, and you are not any closer related to

1432
01:23:46,560 --> 01:23:48,680
Speaker 1: slavery than those people were to those things they made up.

1433
01:23:50,439 --> 01:23:52,479
Speaker 1: But it gives you an emotional connection to something that

1434
01:23:52,520 --> 01:23:54,960
Speaker 1: gives you the public sympathy that you think you're entitled to.

1435
01:23:56,600 --> 01:23:58,479
Speaker 1: So it's people who have experienced a trauma that they

1436
01:23:58,520 --> 01:24:00,000
Speaker 1: have not they feel has not been given the attention

1437
01:24:00,520 --> 01:24:03,439
Speaker 1: it deserves. Or it's people who feel like they've lived

1438
01:24:03,479 --> 01:24:07,000
Speaker 1: pretty meaningless, empty life. And that makes sense. We've all

1439
01:24:07,000 --> 01:24:09,400
Speaker 1: grown up in a nihilist culture. Nothing matters. We came

1440
01:24:09,439 --> 01:24:11,320
Speaker 1: from chance. This is all there is. You die, there

1441
01:24:11,400 --> 01:24:16,439
Speaker 1: is no God, right, It's pretty pretty lame existence. So

1442
01:24:16,479 --> 01:24:19,880
Speaker 1: people are empty inside and they've decided there's many ways

1443
01:24:19,920 --> 01:24:21,320
Speaker 1: to try to find meaning when you feel like that,

1444
01:24:21,360 --> 01:24:23,600
Speaker 1: but they've decided to find meaning by associating themselves with

1445
01:24:23,640 --> 01:24:28,960
Speaker 1: a terrible thing, slavery. I'll end it here for now.

1446
01:24:29,200 --> 01:24:31,200
Speaker 1: Let me give another thought on this next. But let's

1447
01:24:31,240 --> 01:24:32,519
Speaker 1: chew on that for a minute and see what you

1448
01:24:32,520 --> 01:24:35,360
Speaker 1: think about that. I got some stories of people doing

1449
01:24:35,400 --> 01:24:37,840
Speaker 1: this to a really dramatic degree. We'll do that next

1450
01:24:37,880 --> 01:24:39,799
Speaker 1: Mikes later in San Diego filling in for Buck Sexton

1451
01:24:39,880 --> 01:24:44,719
Speaker 1: on why people seek out victimhood it's a new version

1452
01:24:44,760 --> 01:24:48,040
Speaker 1: of Munchausen syndrome. S about the word. Hey teen Buck,

1453
01:24:48,080 --> 01:24:50,280
Speaker 1: Mikela and San Diego filling in for Buck Sexton. Thanks

1454
01:24:50,320 --> 01:24:52,240
Speaker 1: for being out. We're talking about a victimhood and why

1455
01:24:52,360 --> 01:24:57,759
Speaker 1: people seek out victimhoods status, why they declare themselves victims

1456
01:24:57,760 --> 01:24:59,599
Speaker 1: and celebrate their victimoo. We used to be a people

1457
01:24:59,640 --> 01:25:02,280
Speaker 1: who sell lebrated overcoming obstacles, and now we're people who

1458
01:25:02,800 --> 01:25:06,880
Speaker 1: who look out for ways to be victims. It's very bizarre,

1459
01:25:06,960 --> 01:25:08,920
Speaker 1: so why do we do this? And my argument here

1460
01:25:08,960 --> 01:25:12,120
Speaker 1: is that it's a type of Munchhausen syndrome where they

1461
01:25:12,200 --> 01:25:15,960
Speaker 1: feel like their trauma and childhood has not been has

1462
01:25:15,960 --> 01:25:18,840
Speaker 1: not received the sympathy that they feel deserves. So they

1463
01:25:18,880 --> 01:25:23,280
Speaker 1: attached themselves to a bigger traumatic event and piggyback off

1464
01:25:23,280 --> 01:25:25,120
Speaker 1: of that and get sympathy one way or the other.

1465
01:25:25,240 --> 01:25:27,280
Speaker 1: Or it's people who have lived in just a meaningless

1466
01:25:27,280 --> 01:25:30,400
Speaker 1: life and try to find meaning by attaching themselves to

1467
01:25:30,479 --> 01:25:34,400
Speaker 1: a meaningful thing and you get more sympathy that way.

1468
01:25:34,400 --> 01:25:35,680
Speaker 1: If it's a bad thing, of course, like oh, I'm

1469
01:25:35,680 --> 01:25:37,519
Speaker 1: a victim of the legacy of slavery, It's like, well, no,

1470
01:25:37,600 --> 01:25:42,439
Speaker 1: you're not. Helen Lewis, excuse me, Jessica Krug, excuse me,

1471
01:25:42,520 --> 01:25:44,800
Speaker 1: Jessica len Lewis ro an article about these people, Jessica

1472
01:25:44,840 --> 01:25:47,679
Speaker 1: Krug in The Atlantic. Jessica Krug. She was a black

1473
01:25:47,720 --> 01:25:51,400
Speaker 1: immigrant from the Caribbean. She was a tenured professor George

1474
01:25:51,400 --> 01:25:53,719
Speaker 1: Washington University, and she wrote all these books about African

1475
01:25:53,760 --> 01:25:57,160
Speaker 1: American history in Latin America, won awards and fellowships, and

1476
01:25:57,200 --> 01:25:59,120
Speaker 1: it was all a lie. She was a white Jewish

1477
01:25:59,200 --> 01:26:05,479
Speaker 1: girl from the suburbs of Kansas City, but she lived

1478
01:26:05,560 --> 01:26:09,479
Speaker 1: life as this black immigrant and she finally admitted to it.

1479
01:26:09,520 --> 01:26:12,559
Speaker 1: And she says, when I was a teenager fleeing trauma,

1480
01:26:12,680 --> 01:26:14,320
Speaker 1: I could just run away to a new place and

1481
01:26:14,360 --> 01:26:20,479
Speaker 1: become a new person. I developed a new identity. It's

1482
01:26:20,479 --> 01:26:22,559
Speaker 1: really not that different from transgenderism, as we talked about

1483
01:26:22,560 --> 01:26:25,759
Speaker 1: in the last hour. Why do you hate the person

1484
01:26:25,800 --> 01:26:28,160
Speaker 1: you really are? What are you running from? She says,

1485
01:26:28,200 --> 01:26:30,360
Speaker 1: to say that I clearly have been battling some unaddressed

1486
01:26:30,400 --> 01:26:32,759
Speaker 1: mental health demons for my entire life is obvious. Mental

1487
01:26:32,760 --> 01:26:34,880
Speaker 1: health is She's likely explained why I assumed a false

1488
01:26:35,000 --> 01:26:37,760
Speaker 1: identity initially as a youth and why I continue to

1489
01:26:37,800 --> 01:26:41,080
Speaker 1: develop it for so long. The mental health professionals assure

1490
01:26:41,120 --> 01:26:43,640
Speaker 1: me that this is a common response to some of

1491
01:26:43,680 --> 01:26:47,760
Speaker 1: the severe trauma that marked my early childhood and teen years. Yep,

1492
01:26:49,400 --> 01:26:53,280
Speaker 1: it makes sense. HD career. He was a writer and

1493
01:26:53,320 --> 01:26:55,720
Speaker 1: a professor of English at George Washington University as well.

1494
01:26:55,720 --> 01:26:57,519
Speaker 1: He was a Cuban immigrant. He left Cube at the

1495
01:26:57,560 --> 01:27:00,000
Speaker 1: age of seven with his family, wrote all these books

1496
01:27:00,000 --> 01:27:04,519
Speaker 1: about that experience. He passed away from COVID unfortunately, but

1497
01:27:04,600 --> 01:27:06,599
Speaker 1: when he did, his family released a statement of who

1498
01:27:06,600 --> 01:27:09,800
Speaker 1: he really was, and he wasn't a Cuban immigrant. He

1499
01:27:09,880 --> 01:27:12,559
Speaker 1: was a black guy from Detroit. His last name was

1500
01:27:12,600 --> 01:27:15,920
Speaker 1: not Korea, it was Carol. My favorite example of this

1501
01:27:16,000 --> 01:27:20,599
Speaker 1: is Alec Baldwin's wife, Hilaria. She pretends that she's from

1502
01:27:20,680 --> 01:27:23,400
Speaker 1: Spain and she would talk in this accent, right, and

1503
01:27:23,439 --> 01:27:25,479
Speaker 1: she talks in this Spanish accent, which I can't do.

1504
01:27:25,640 --> 01:27:27,240
Speaker 1: And she once she was on My Today Show and

1505
01:27:27,280 --> 01:27:29,080
Speaker 1: she was doing a cooking and she's like, oh, yes,

1506
01:27:29,120 --> 01:27:30,439
Speaker 1: you put a little bit of this, and you put

1507
01:27:30,439 --> 01:27:32,479
Speaker 1: a little bit to that, and you put in some

1508
01:27:32,840 --> 01:27:35,439
Speaker 1: how do you say, what's the word a cucumbers? You

1509
01:27:35,439 --> 01:27:41,639
Speaker 1: put in some cucumbers. She's from Boston. She's not from Spain,

1510
01:27:41,720 --> 01:27:45,280
Speaker 1: She's from Boston. She calls her kids the Baldwin Nitos.

1511
01:27:46,760 --> 01:27:49,439
Speaker 1: Her name's Hillary. Her name's a Hilaria. Her name is Hilary,

1512
01:27:49,479 --> 01:27:53,840
Speaker 1: from Boston, of two white parents. I got a ton

1513
01:27:53,880 --> 01:27:57,200
Speaker 1: of these. Rachel Dalazel is the most famous example. Right.

1514
01:27:57,200 --> 01:27:59,840
Speaker 1: She was the president of the Spokane, Washington and AC

1515
01:28:00,400 --> 01:28:04,640
Speaker 1: and she's white. Her trauma was that she was She

1516
01:28:04,680 --> 01:28:08,160
Speaker 1: says she was raised by a cult like fundamentalist Christian family,

1517
01:28:08,200 --> 01:28:10,280
Speaker 1: and she hated her childhood and she would imagine when

1518
01:28:10,320 --> 01:28:12,479
Speaker 1: she was a kid that she was adopted. So she

1519
01:28:12,479 --> 01:28:14,439
Speaker 1: would make up these fake identities in her head in

1520
01:28:14,520 --> 01:28:18,599
Speaker 1: order to distance herself from her existence. And she never

1521
01:28:18,640 --> 01:28:21,040
Speaker 1: stopped doing it. It makes perfect sense, doesn't it. I mean,

1522
01:28:21,040 --> 01:28:23,160
Speaker 1: it's it's messed up, but it makes perfect sense. This

1523
01:28:23,200 --> 01:28:25,639
Speaker 1: is Munchausen syndrome. It's a type of Munchausen. I don't

1524
01:28:25,640 --> 01:28:26,840
Speaker 1: have a funny name for it, right, I mean, you

1525
01:28:26,920 --> 01:28:30,040
Speaker 1: got Munchausen. Munchausen by proxy, Munchausen by Internet. I don't

1526
01:28:30,040 --> 01:28:33,720
Speaker 1: know what this is called Munchausen by appropriation or so,

1527
01:28:33,800 --> 01:28:35,519
Speaker 1: I don't know what the right word is. But when

1528
01:28:35,560 --> 01:28:37,200
Speaker 1: you claim to be a member of an oppressed group

1529
01:28:37,200 --> 01:28:44,000
Speaker 1: when you're not, we live in an empathetic society too much.

1530
01:28:45,640 --> 01:28:47,679
Speaker 1: There's too much value in being seen as a victim,

1531
01:28:48,680 --> 01:28:50,920
Speaker 1: especially when we live in a very dicot like we

1532
01:28:51,000 --> 01:28:53,920
Speaker 1: live in a Marxist framework where you're either the oppressed

1533
01:28:53,960 --> 01:28:56,040
Speaker 1: or the oppressor. Right, So you don't want to be

1534
01:28:56,080 --> 01:28:58,519
Speaker 1: the oppressor. You don't want to be the perpetrator. You

1535
01:28:58,560 --> 01:29:02,320
Speaker 1: don't want to be the terrible person. So if you're

1536
01:29:02,320 --> 01:29:04,880
Speaker 1: not that, well, you got to be the oppressed. You

1537
01:29:04,880 --> 01:29:07,439
Speaker 1: don't want to be the oppressor. So you're better off

1538
01:29:07,479 --> 01:29:10,400
Speaker 1: just be in the oppressed. And even if you are

1539
01:29:10,439 --> 01:29:12,479
Speaker 1: an oppressor, or let's say you pretend to be an oppressor,

1540
01:29:12,520 --> 01:29:14,479
Speaker 1: like you're you read white fragility and you're a guilty

1541
01:29:14,520 --> 01:29:17,320
Speaker 1: white person, right, Yeah, you claim to be part of

1542
01:29:17,360 --> 01:29:19,960
Speaker 1: the oppressor class, but you're now woke version of it,

1543
01:29:20,560 --> 01:29:24,040
Speaker 1: and you're a victim of the white supremacy culture that

1544
01:29:24,080 --> 01:29:27,400
Speaker 1: has created that has made you an oppressor. So you're

1545
01:29:27,920 --> 01:29:30,640
Speaker 1: in victimhood, even though you're it's all very convolute. But

1546
01:29:30,640 --> 01:29:32,080
Speaker 1: the point is, you gotta be one or the other.

1547
01:29:35,040 --> 01:29:39,559
Speaker 1: Why do why people love to be victims gets attention.

1548
01:29:40,640 --> 01:29:45,000
Speaker 1: It's much easier, too, Gosh, it's so much easier to

1549
01:29:45,040 --> 01:29:48,160
Speaker 1: be a victim than to actually overcome things. Overcoming things

1550
01:29:48,280 --> 01:29:52,960
Speaker 1: is very hard, much easier to be a victim, much easier.

1551
01:29:53,080 --> 01:29:54,400
Speaker 1: You know how easy it is to tear down a

1552
01:29:54,400 --> 01:29:57,360
Speaker 1: statue piece of cake. I can tear down a statue

1553
01:29:57,320 --> 01:29:59,280
Speaker 1: in no time. I could never build a statue. If

1554
01:29:59,280 --> 01:30:01,240
Speaker 1: you could give me all all the materials, the bronze

1555
01:30:01,240 --> 01:30:03,680
Speaker 1: and the stone and the marble, and say, hey, later

1556
01:30:03,760 --> 01:30:06,240
Speaker 1: build a statue like build a statue of George Washington,

1557
01:30:06,800 --> 01:30:09,000
Speaker 1: I wouldn't look nothing like George Washington. Be a joke.

1558
01:30:09,600 --> 01:30:11,679
Speaker 1: But if he said, hey, Slater, tear down this statue

1559
01:30:11,680 --> 01:30:14,880
Speaker 1: of George Washington, just give me a rope, no problem.

1560
01:30:16,200 --> 01:30:19,599
Speaker 1: It's much harder to overcome. It's much harder to build.

1561
01:30:19,880 --> 01:30:23,080
Speaker 1: It's way easier to be a victim, way easier to

1562
01:30:23,120 --> 01:30:28,640
Speaker 1: tear down. And when you do pretend to be a victim,

1563
01:30:28,800 --> 01:30:34,040
Speaker 1: you get a type of meaning out of it, and

1564
01:30:34,080 --> 01:30:39,760
Speaker 1: people pay attention. These are some extreme examples, But how

1565
01:30:39,760 --> 01:30:41,920
Speaker 1: many people around you do a similar version of it,

1566
01:30:42,840 --> 01:30:44,960
Speaker 1: claiming to be a victim, claiming to be oppressed when

1567
01:30:46,520 --> 01:30:49,840
Speaker 1: they're not, or if they are, it's all self imposed.

1568
01:30:50,360 --> 01:30:53,960
Speaker 1: No one wants to hear that. We need to be

1569
01:30:54,000 --> 01:30:58,800
Speaker 1: a society that once again values overcoming obstacles in life.

1570
01:30:59,160 --> 01:31:03,760
Speaker 1: We need to encourage and celebrate that once again. Mike

1571
01:31:03,840 --> 01:31:06,160
Speaker 1: Slater in San Diego, filling it for Buck Sexton, spread

1572
01:31:06,200 --> 01:31:08,879
Speaker 1: the word. Hey teen Buck, Mike Slater in San Diego,

1573
01:31:09,120 --> 01:31:12,120
Speaker 1: filling in for Buck Sexton. Gosh, we've covered a ton today.

1574
01:31:12,120 --> 01:31:16,200
Speaker 1: We're talked about transgenderism. We told a terrific story of

1575
01:31:16,280 --> 01:31:19,200
Speaker 1: a father in Canada whose ex wife is abusing her

1576
01:31:19,280 --> 01:31:23,960
Speaker 1: child by she's abusing their daughter by given her puberty blockers,

1577
01:31:23,960 --> 01:31:26,160
Speaker 1: an old thing, and the courts through him in jail

1578
01:31:26,200 --> 01:31:28,360
Speaker 1: because he's against it. We told that story earlier, talked

1579
01:31:28,400 --> 01:31:30,360
Speaker 1: all about the border. I'm here in San Diego, the shipping,

1580
01:31:30,360 --> 01:31:33,000
Speaker 1: and I think tomorrow the next day, fifteen hundred thirteen

1581
01:31:33,000 --> 01:31:35,240
Speaker 1: to seventeen year olds to live in our convention center downtown.

1582
01:31:35,680 --> 01:31:38,000
Speaker 1: No photographs of anything, not allowed at all. So we

1583
01:31:38,040 --> 01:31:41,880
Speaker 1: talked about Biden's border policies and then what we do

1584
01:31:41,920 --> 01:31:43,840
Speaker 1: in the beginning, what was the first segment of the show?

1585
01:31:44,479 --> 01:31:46,040
Speaker 1: What did we Oh? Yeah, yeah, we talked about the

1586
01:31:46,080 --> 01:31:51,000
Speaker 1: truth of hate crimes and crime statistics, and Obama says

1587
01:31:51,120 --> 01:31:53,880
Speaker 1: you should be scared to go outside your house in

1588
01:31:53,920 --> 01:31:55,960
Speaker 1: America today. It's like, what are you talking about? So

1589
01:31:56,000 --> 01:31:58,280
Speaker 1: we gave the truth about all that you can of

1590
01:31:58,320 --> 01:32:01,599
Speaker 1: course find that on the pie Gast section. Our last

1591
01:32:01,600 --> 01:32:03,439
Speaker 1: couple of minutes together, I want to talk about the

1592
01:32:03,520 --> 01:32:10,040
Speaker 1: difference between the progressive worldview and the conservative worldview when

1593
01:32:10,080 --> 01:32:14,120
Speaker 1: it comes to inequality, so super important and once you

1594
01:32:14,200 --> 01:32:16,840
Speaker 1: understand this, then everything starts to make sense, like why

1595
01:32:17,400 --> 01:32:20,160
Speaker 1: progressive says some things they do about inequality and why

1596
01:32:20,160 --> 01:32:23,040
Speaker 1: they're all worked up about it. Also, so when a

1597
01:32:23,160 --> 01:32:26,120
Speaker 1: progressive sees an inequality in something, and inequality would be

1598
01:32:27,000 --> 01:32:30,160
Speaker 1: or an inequity they called an inequity, it would be

1599
01:32:31,880 --> 01:32:37,680
Speaker 1: there's too many Asian and white kids in the advanced

1600
01:32:37,720 --> 01:32:41,280
Speaker 1: classes at school and not enough Black and Hispanic kids,

1601
01:32:41,360 --> 01:32:44,200
Speaker 1: So therefore we're going to get rid of all advanced classes.

1602
01:32:44,880 --> 01:32:47,920
Speaker 1: So they see an inequity there when they see an

1603
01:32:47,920 --> 01:32:50,760
Speaker 1: inequity or give another This is my favorite example in

1604
01:32:50,920 --> 01:32:54,040
Speaker 1: San Francisco, it's illegal. It was illegal to jump the

1605
01:32:54,040 --> 01:32:58,720
Speaker 1: turnstiles to get on their train. Well, a disproportionate number

1606
01:32:58,760 --> 01:33:01,519
Speaker 1: of black people were jumping the styles and getting tickets,

1607
01:33:01,800 --> 01:33:06,000
Speaker 1: So therefore there's an inequity there and the law is racist.

1608
01:33:06,000 --> 01:33:07,280
Speaker 1: So they got rid of the law and now it's

1609
01:33:07,360 --> 01:33:11,960
Speaker 1: legal to jump the turnstyles. So when a progressive seas

1610
01:33:12,000 --> 01:33:17,160
Speaker 1: an inequity in something, they've fully digested the Marxist worldview

1611
01:33:17,280 --> 01:33:20,160
Speaker 1: that the world is constantly and everything in it is

1612
01:33:20,160 --> 01:33:23,320
Speaker 1: a battle between the oppressed and the oppressors. So if

1613
01:33:23,360 --> 01:33:27,840
Speaker 1: there's an inequity, it's due to oppression. If there's an inequity,

1614
01:33:28,040 --> 01:33:33,880
Speaker 1: someone is oppressing the oppressed, and our job as the warriors,

1615
01:33:34,080 --> 01:33:36,600
Speaker 1: these social justice warriors, are to find out who is

1616
01:33:36,640 --> 01:33:42,240
Speaker 1: doing the oppressing and hold them accountable. Makes sense. A

1617
01:33:42,360 --> 01:33:48,720
Speaker 1: conservative looks at an inequity and asks what's at the

1618
01:33:48,800 --> 01:33:55,200
Speaker 1: root of this, specifically, what cultural differences exist that resulted

1619
01:33:55,360 --> 01:34:02,519
Speaker 1: in this inequity. The simplest example, it's like equal pay day,

1620
01:34:02,640 --> 01:34:04,760
Speaker 1: or it was yesterday or something. I don't know, so

1621
01:34:04,800 --> 01:34:06,479
Speaker 1: we're back. I just yesterday. I just heard all the

1622
01:34:06,520 --> 01:34:09,800
Speaker 1: same old arguments, goodness about how women make less than men.

1623
01:34:09,840 --> 01:34:13,280
Speaker 1: It's total nonsense. So they'll throw out this number that

1624
01:34:13,320 --> 01:34:15,639
Speaker 1: they made up and they'll say, look, there's an inequity.

1625
01:34:15,680 --> 01:34:19,000
Speaker 1: Women are paid less than men. It's oppression, male patriarchy,

1626
01:34:19,040 --> 01:34:22,439
Speaker 1: whole thing. They go to. Example that they use. I

1627
01:34:22,479 --> 01:34:24,519
Speaker 1: don't know why the left uses is yesterday at the

1628
01:34:24,520 --> 01:34:27,160
Speaker 1: White House, Megan Rapino from the US women's soccer team

1629
01:34:27,200 --> 01:34:29,479
Speaker 1: spoke talked about how press she was, and it's like,

1630
01:34:29,720 --> 01:34:31,120
Speaker 1: give me a break. I don't know why they keep

1631
01:34:31,200 --> 01:34:34,200
Speaker 1: using the women's soccer team about how they make less

1632
01:34:34,240 --> 01:34:36,439
Speaker 1: than the men's soccer team. It's the easiest example ever

1633
01:34:36,520 --> 01:34:41,519
Speaker 1: to rebuke. But anyway, conservatives look at let's say, let's

1634
01:34:41,520 --> 01:34:43,760
Speaker 1: do the soccer team. Conservatives look at the fact that

1635
01:34:43,800 --> 01:34:45,479
Speaker 1: the women's soccer team makes less than the men's soccer

1636
01:34:45,520 --> 01:34:50,280
Speaker 1: team and says, oh, men's soccer is the most popular

1637
01:34:50,439 --> 01:34:56,599
Speaker 1: sport in the world, and no one watches women's soccer.

1638
01:34:57,439 --> 01:35:01,799
Speaker 1: Therefore women soccer player get paid less. End of story.

1639
01:35:04,720 --> 01:35:07,280
Speaker 1: There's a controversy the other day of the men's weight

1640
01:35:07,360 --> 01:35:09,880
Speaker 1: room during the NC TWA basketball tournament and the women's

1641
01:35:09,920 --> 01:35:14,000
Speaker 1: weight room, and it's like, oh, men's basketball one of

1642
01:35:14,040 --> 01:35:17,120
Speaker 1: the most popular sports. Tons of money being made women's

1643
01:35:17,160 --> 01:35:22,639
Speaker 1: college basketball is a charity event subsidized by men's basketball.

1644
01:35:22,640 --> 01:35:25,120
Speaker 1: I go, what are we like? You're looking like you

1645
01:35:25,120 --> 01:35:27,000
Speaker 1: get any weight room? Like? What are we talking? Right?

1646
01:35:27,120 --> 01:35:30,320
Speaker 1: But they left? Doesn't look at it. Oh, I'm gonna

1647
01:35:30,320 --> 01:35:34,760
Speaker 1: being compressed. Now let's look outside of sports. Um, you know,

1648
01:35:34,800 --> 01:35:38,800
Speaker 1: why is there a pay gap? Mathematical matters? Statistically, well,

1649
01:35:38,840 --> 01:35:44,519
Speaker 1: women make different career decisions, particularly the decision to have kids.

1650
01:35:45,560 --> 01:35:47,760
Speaker 1: San Diego just released the study saying that women make

1651
01:35:47,840 --> 01:35:52,080
Speaker 1: less than men in San Diego City san Diego employees,

1652
01:35:52,200 --> 01:35:54,599
Speaker 1: and it's like, yeah, that's because there's not a lot

1653
01:35:54,600 --> 01:35:58,439
Speaker 1: of female firefighters. Firefighters make more money than anyone else.

1654
01:35:59,400 --> 01:36:02,040
Speaker 1: It's just your decisions. Okay, So when you account for

1655
01:36:02,080 --> 01:36:05,679
Speaker 1: that type of stuff, all the discrepancy goes away. Does

1656
01:36:05,680 --> 01:36:08,679
Speaker 1: that make sense? So you either look at the progressives

1657
01:36:08,720 --> 01:36:11,400
Speaker 1: look at who's oppressed, conservatives look at who or what

1658
01:36:11,520 --> 01:36:15,720
Speaker 1: cultural differences? What's at the root of this? Why? What does?

1659
01:36:15,800 --> 01:36:19,160
Speaker 1: Different decisions are made that result in an inequity, and

1660
01:36:19,200 --> 01:36:23,360
Speaker 1: an inequity is not necessarily a bad thing. I got

1661
01:36:23,400 --> 01:36:25,880
Speaker 1: another went for you. This one's interesting. I came across

1662
01:36:25,920 --> 01:36:26,720
Speaker 1: this one the other day. I had to do a

1663
01:36:26,760 --> 01:36:31,000
Speaker 1: little research on this. I've never heard this before. The

1664
01:36:31,040 --> 01:36:37,880
Speaker 1: claim is that Filipinos make up four percent of all

1665
01:36:38,000 --> 01:36:41,960
Speaker 1: nurses nationwide. Four percent of all nurses or nations are Filipino,

1666
01:36:42,640 --> 01:36:48,560
Speaker 1: but thirty percent of nurses who died of COVID were Filipino.

1667
01:36:51,439 --> 01:36:56,120
Speaker 1: That's something. What's that about four percent of nurses nationwide

1668
01:36:56,160 --> 01:36:58,920
Speaker 1: or Filipino but thirty percent of nurses who died of

1669
01:36:58,920 --> 01:37:01,920
Speaker 1: COVID nationwide or Philip polow So the person who made

1670
01:37:01,960 --> 01:37:06,240
Speaker 1: this claim, Well, look quick, little backup backgrounding this San

1671
01:37:06,280 --> 01:37:08,080
Speaker 1: Diego Union Tribune in our paper here. I don't know

1672
01:37:08,080 --> 01:37:09,920
Speaker 1: about your local paper, but our paper is on a

1673
01:37:10,040 --> 01:37:14,240
Speaker 1: quest to print the craziest editorials they can find, written

1674
01:37:14,240 --> 01:37:17,679
Speaker 1: by the farthest left activist in town. And every day

1675
01:37:17,680 --> 01:37:19,880
Speaker 1: it's a new one of these things. I got read

1676
01:37:19,880 --> 01:37:22,920
Speaker 1: one the other day and it started off with I

1677
01:37:22,960 --> 01:37:24,920
Speaker 1: am writing this. At the beginning, I'm writing this as

1678
01:37:24,960 --> 01:37:29,839
Speaker 1: a settler in Kuma Yay Land now known as San Diego.

1679
01:37:29,920 --> 01:37:32,400
Speaker 1: That's like the native tribe now known as San Diego.

1680
01:37:32,479 --> 01:37:37,200
Speaker 1: As a queer Indigenous Asian American refugee. You're like, oh,

1681
01:37:37,280 --> 01:37:39,719
Speaker 1: geez man, that's how we're supposed to start off everything.

1682
01:37:39,760 --> 01:37:42,760
Speaker 1: I'm not joking. Every diversity inclusion equity seminar, including our

1683
01:37:42,800 --> 01:37:45,080
Speaker 1: local school district here in San Diego, starts off with

1684
01:37:45,120 --> 01:37:48,120
Speaker 1: a land acknowledgement. You have to acknowledge, it's the new thing.

1685
01:37:48,160 --> 01:37:50,599
Speaker 1: You have to acknowledge that we are on indigenous land.

1686
01:37:50,800 --> 01:37:52,559
Speaker 1: And then you go on and you state your identity.

1687
01:37:53,960 --> 01:37:56,559
Speaker 1: I am writing this as a settler on kuma Ye Land,

1688
01:37:56,920 --> 01:37:59,920
Speaker 1: now known as that's how you're supposed to do there,

1689
01:38:01,800 --> 01:38:05,439
Speaker 1: such as one example, let me quote this one here,

1690
01:38:07,240 --> 01:38:10,960
Speaker 1: this woman who made this claim. Yeah, let's just read

1691
01:38:11,000 --> 01:38:19,280
Speaker 1: this quick um. After a year, the COVID nineteen pandemic

1692
01:38:19,280 --> 01:38:20,960
Speaker 1: has taught us many things about the state of the nation.

1693
01:38:21,160 --> 01:38:24,360
Speaker 1: One important lesson is that our proposed ethnic studies curriculum.

1694
01:38:24,360 --> 01:38:25,960
Speaker 1: Oh all right, let me do a quick background it

1695
01:38:25,960 --> 01:38:30,320
Speaker 1: this sorry double sidebar. California just passed a couple days

1696
01:38:30,360 --> 01:38:34,280
Speaker 1: ago our ethnic studies curriculum, and it is appalling and

1697
01:38:34,360 --> 01:38:37,679
Speaker 1: atrocious as you would imagine. It is horrific, And don't worry,

1698
01:38:37,680 --> 01:38:39,960
Speaker 1: it's coming to a state near you. It was sponsored

1699
01:38:39,960 --> 01:38:43,160
Speaker 1: by the Bill Bill and the Gates Foundation, and it

1700
01:38:43,240 --> 01:38:45,080
Speaker 1: has a lot of power and money behind it, and

1701
01:38:45,200 --> 01:38:47,560
Speaker 1: it's horrific. Let me finish this point and maybe the

1702
01:38:47,600 --> 01:38:49,160
Speaker 1: next segment I can give you an example how bad

1703
01:38:49,200 --> 01:38:52,919
Speaker 1: it is. So she's talking about the ethnic studies curriculum.

1704
01:38:53,760 --> 01:38:57,320
Speaker 1: One important aspect of any ethnic studies curriculum must encourage

1705
01:38:57,320 --> 01:39:00,639
Speaker 1: the critical thinking skills and sense of ethical responsibility necessary

1706
01:39:00,680 --> 01:39:04,960
Speaker 1: to address the disproportionate loss and destruction that black, indigenous,

1707
01:39:04,960 --> 01:39:07,679
Speaker 1: and people of color communities have endured. Blah blah blah

1708
01:39:07,680 --> 01:39:10,760
Speaker 1: blah blah blah blah, right, whatever, and then she goes

1709
01:39:10,760 --> 01:39:14,559
Speaker 1: on and gives an example. Okay, and then example is

1710
01:39:16,960 --> 01:39:20,880
Speaker 1: Philip nurses in America four percent of Filipino but thirty

1711
01:39:20,880 --> 01:39:23,600
Speaker 1: percent of all COVID related deaths. Look at this inequity.

1712
01:39:23,840 --> 01:39:29,200
Speaker 1: Look at how Asian Americans are oppressed in America. Okay,

1713
01:39:30,080 --> 01:39:32,360
Speaker 1: So what's the real story here? That's how progressive looks

1714
01:39:32,360 --> 01:39:33,920
Speaker 1: at it, all right, everything's got to be looked through

1715
01:39:33,960 --> 01:39:36,080
Speaker 1: the land of the Marxist lends of oppressor. President, How

1716
01:39:36,080 --> 01:39:41,000
Speaker 1: does a conservative look at it? So I'm trying to

1717
01:39:41,000 --> 01:39:43,080
Speaker 1: think of when to start. Eighteen ninety eight. We'll start

1718
01:39:43,120 --> 01:39:47,920
Speaker 1: here eighteen ninety eight, President McKinley. Okay, we gotta go

1719
01:39:47,960 --> 01:39:51,439
Speaker 1: away this again. This is how conservatives think eighteen ninety eight,

1720
01:39:52,120 --> 01:39:58,400
Speaker 1: President McKinley started a policy called benevolent assimilation in the Philippines.

1721
01:39:59,280 --> 01:40:02,640
Speaker 1: So we won this Spanish American War, which no one

1722
01:40:02,680 --> 01:40:04,360
Speaker 1: ever studies. And then after that there was something called

1723
01:40:04,360 --> 01:40:06,479
Speaker 1: the Philippine American War, which no one's ever heard of.

1724
01:40:06,680 --> 01:40:11,240
Speaker 1: It was two years, so we won, and part of

1725
01:40:11,280 --> 01:40:17,920
Speaker 1: that was we sent over Western training for nurses. All right,

1726
01:40:18,000 --> 01:40:22,120
Speaker 1: benevolent assimilation. So President McKinley says, hey, let's send over

1727
01:40:22,360 --> 01:40:29,280
Speaker 1: our training and trainers and doctors to go train Filipino nurses. Great.

1728
01:40:30,280 --> 01:40:32,799
Speaker 1: Fast forward a couple of decades. There was a nursing

1729
01:40:32,840 --> 01:40:35,519
Speaker 1: shortage in America, particularly in California, so we turned to

1730
01:40:35,520 --> 01:40:38,880
Speaker 1: the Philippines because they spoke English really well and had

1731
01:40:38,920 --> 01:40:40,840
Speaker 1: a very similar training. So we could take a nurse

1732
01:40:40,840 --> 01:40:43,000
Speaker 1: from the Philippines and they could come to America and

1733
01:40:43,040 --> 01:40:45,760
Speaker 1: boom work, no problem, fit right in. That's why we

1734
01:40:45,800 --> 01:40:50,200
Speaker 1: have a lot of Filipino nurses. Interesting story, right, that's

1735
01:40:50,240 --> 01:40:55,040
Speaker 1: way more interesting than and way more accurate than, oh,

1736
01:40:55,160 --> 01:40:58,519
Speaker 1: racist oppressors. But it's like, oh no, that's not it

1737
01:40:58,600 --> 01:41:01,880
Speaker 1: just there's this history now that doesn't explain why they're

1738
01:41:01,960 --> 01:41:07,160
Speaker 1: dying at such a higher rate. Well, Filipino trained nurses

1739
01:41:07,400 --> 01:41:11,640
Speaker 1: tend to work in the ICU and emergency rooms and

1740
01:41:11,840 --> 01:41:16,920
Speaker 1: nursing homes more so than other nurses, and that is

1741
01:41:17,040 --> 01:41:22,639
Speaker 1: riskier for COVID. Filipinos tend to live in multigenerational housing,

1742
01:41:23,400 --> 01:41:25,679
Speaker 1: so it can spread faster. More are going to get sick.

1743
01:41:26,439 --> 01:41:30,560
Speaker 1: Filipinos in America also have a higher rate of diabetes

1744
01:41:30,560 --> 01:41:34,400
Speaker 1: and heart disease. Are just going to make getting COVID

1745
01:41:34,439 --> 01:41:40,760
Speaker 1: more deadly. And then another interesting theory, Filipinos culturally are

1746
01:41:40,840 --> 01:41:44,720
Speaker 1: less likely to question authority and speak up about any

1747
01:41:44,760 --> 01:41:46,719
Speaker 1: issues that they may have, just part of the culture

1748
01:41:47,280 --> 01:41:49,519
Speaker 1: and an issue maybe we don't have enough protective equipment

1749
01:41:49,560 --> 01:41:52,599
Speaker 1: or something like that. And some Filipino nurses are immigrants

1750
01:41:52,640 --> 01:41:54,080
Speaker 1: and they feel like if they complain, they could be

1751
01:41:54,120 --> 01:41:55,639
Speaker 1: sent back, and they don't want to rock the boat,

1752
01:41:55,680 --> 01:41:58,000
Speaker 1: so they go along with things that maybe other nurses

1753
01:41:58,000 --> 01:42:02,120
Speaker 1: want it. That's how conservative thing. So again, a progressive looks, oh,

1754
01:42:02,200 --> 01:42:04,599
Speaker 1: we're being oppressed. A conservative says, oh no, Well, here's

1755
01:42:04,600 --> 01:42:08,320
Speaker 1: the history, and here's some differences and different choices and

1756
01:42:08,360 --> 01:42:14,439
Speaker 1: different realities and different cultural markers that exists that create

1757
01:42:14,600 --> 01:42:19,320
Speaker 1: an inequity. None of this is due to oppression, just

1758
01:42:19,439 --> 01:42:23,520
Speaker 1: cultural differences, very different ways of looking at the world. Unfortunately,

1759
01:42:23,560 --> 01:42:25,240
Speaker 1: the progressive way of looking at the world is the

1760
01:42:25,240 --> 01:42:29,200
Speaker 1: one that is winning right now. The thoughtful approach not

1761
01:42:29,280 --> 01:42:32,040
Speaker 1: getting it much airtime, which is why I'm glad you're here.

1762
01:42:32,120 --> 01:42:34,120
Speaker 1: Mike Slater, San Diego, fill in it for Buck Sexton.

1763
01:42:34,160 --> 01:42:37,000
Speaker 1: Spread the word eighteen Buck. Mike Slater, San Diego, filling

1764
01:42:37,040 --> 01:42:40,360
Speaker 1: in for Buck Sexton today. Thanks for being here. We

1765
01:42:40,479 --> 01:42:42,560
Speaker 1: plan on being back tomorrow as well, so hope you

1766
01:42:42,560 --> 01:42:45,840
Speaker 1: can tune in again. On my local show, we talked

1767
01:42:45,880 --> 01:42:48,479
Speaker 1: a lot about this forty thousand dollars a year prep

1768
01:42:48,520 --> 01:42:51,800
Speaker 1: school in Los Angeles. It's called Harvard Westlake. It's one

1769
01:42:51,800 --> 01:42:54,439
Speaker 1: of the nicest schools in LA. And they have a

1770
01:42:54,479 --> 01:43:01,080
Speaker 1: new anti racist curriculum there. It's absurd or it's horrible.

1771
01:43:02,880 --> 01:43:07,439
Speaker 1: It just teaches kids to hate America. I heard a

1772
01:43:07,439 --> 01:43:09,800
Speaker 1: great line someone said, the only thing that rivals the

1773
01:43:09,880 --> 01:43:14,280
Speaker 1: contempt that young Americans have for this country is their

1774
01:43:14,360 --> 01:43:18,519
Speaker 1: ignorance of it. So they have a huge hatred and

1775
01:43:18,520 --> 01:43:21,519
Speaker 1: they're being taught to hate America and the only thing

1776
01:43:21,560 --> 01:43:23,840
Speaker 1: that rivals at is how little they know about it.

1777
01:43:26,439 --> 01:43:30,799
Speaker 1: And just biblical literacy as well. Right, zero Biblical literacy,

1778
01:43:31,240 --> 01:43:33,479
Speaker 1: which is what our country is based off of. Right,

1779
01:43:33,479 --> 01:43:35,400
Speaker 1: there's so many fun foundational truths that this country is

1780
01:43:35,400 --> 01:43:37,640
Speaker 1: based off of. On that, and then not even just

1781
01:43:37,760 --> 01:43:39,880
Speaker 1: you know history in general, and then what came before

1782
01:43:39,960 --> 01:43:41,680
Speaker 1: is antrel Greece, Ancient Rome, the whole thing. People have

1783
01:43:41,720 --> 01:43:46,519
Speaker 1: no idea. And now anytime anyone dare teach maybe something

1784
01:43:46,880 --> 01:43:51,280
Speaker 1: like a Biblical lessons or about ancient Greece ancient Rome,

1785
01:43:51,280 --> 01:43:54,640
Speaker 1: oh well, that's Western civilization. That's misogynistic, that's you know,

1786
01:43:55,439 --> 01:43:58,040
Speaker 1: white centered and all this stuff. It's got to stop.

1787
01:43:58,520 --> 01:44:01,439
Speaker 1: We got to cancel it. Isaac Newton was canceled at

1788
01:44:01,439 --> 01:44:05,360
Speaker 1: this school. They don't call it the Newton's Laws of

1789
01:44:05,400 --> 01:44:09,160
Speaker 1: Physics anymore. They're called the Fundamental Laws because this is

1790
01:44:09,200 --> 01:44:14,800
Speaker 1: at Harvard Westlake. Because they want to decenter whiteness. So

1791
01:44:14,840 --> 01:44:20,720
Speaker 1: if you call him Newton's laws, that's offensive or not

1792
01:44:20,800 --> 01:44:24,200
Speaker 1: inclusive enough of students of color. So they're called fundamentals

1793
01:44:24,200 --> 01:44:28,000
Speaker 1: like that's insane. Newton's Laws of Physics do not center whiteness.

1794
01:44:28,160 --> 01:44:31,960
Speaker 1: They center the exact specific person who was able to

1795
01:44:32,000 --> 01:44:37,320
Speaker 1: define the laws of physics, Isaac Newton. But he's got

1796
01:44:37,320 --> 01:44:39,040
Speaker 1: to go. So you kick out Isaac Newton, you kick

1797
01:44:39,080 --> 01:44:41,919
Speaker 1: out all Western civilization, all Western great works of literature,

1798
01:44:42,240 --> 01:44:45,200
Speaker 1: kick out all the great Western civ thinkers, kick out

1799
01:44:45,200 --> 01:44:47,439
Speaker 1: all the great writers of Western civilization, and you replace

1800
01:44:47,479 --> 01:44:50,479
Speaker 1: it with Robin D'Angelo and Ibramex Kendy. Now here's the

1801
01:44:50,520 --> 01:44:52,840
Speaker 1: next level. And this is the ultimate level. Obviously, when

1802
01:44:52,920 --> 01:44:58,680
Speaker 1: you remove God, what do you replace it with? In

1803
01:44:58,760 --> 01:45:03,639
Speaker 1: the California Ethnics Studies curriculum they have in it, this

1804
01:45:03,680 --> 01:45:05,160
Speaker 1: is not a one time thing. This is not just

1805
01:45:05,200 --> 01:45:07,800
Speaker 1: when you're learning about one thing on one day. They

1806
01:45:07,840 --> 01:45:14,519
Speaker 1: have regular chance to the Aztec gods. So when you

1807
01:45:14,600 --> 01:45:17,040
Speaker 1: remove God out of the equation, what do you think

1808
01:45:17,040 --> 01:45:20,120
Speaker 1: people are going to do? Of course, eventually they're going

1809
01:45:20,160 --> 01:45:23,439
Speaker 1: to replace it with a bunch of pagan gods. A

1810
01:45:23,600 --> 01:45:26,280
Speaker 1: little and a little pagan warship never hurt anyone, right,

1811
01:45:27,960 --> 01:45:30,360
Speaker 1: of course, except for the you know twenty thousand humans

1812
01:45:30,360 --> 01:45:32,200
Speaker 1: every year that were sacrificed at the altars to these

1813
01:45:32,240 --> 01:45:37,040
Speaker 1: gods by the Aztecs. The Aztecs they've built a new temple.

1814
01:45:37,200 --> 01:45:41,120
Speaker 1: Eighty thousand people were sacrificed to the god in one day,

1815
01:45:41,280 --> 01:45:47,000
Speaker 1: eighty thousand in one day. But yeah, it was the

1816
01:45:47,040 --> 01:45:52,400
Speaker 1: conquistadors who were uniquely evil. Columbus as a rapist, Win

1817
01:45:52,439 --> 01:45:55,360
Speaker 1: throw up a bigot Washington a slave owner. Our kids

1818
01:45:55,360 --> 01:46:00,719
Speaker 1: are filled with ignorance and contempt. But just having prayed

1819
01:46:00,760 --> 01:46:05,080
Speaker 1: to the Aztec gods, and that'll make things all better

1820
01:46:06,360 --> 01:46:11,080
Speaker 1: ignorance and contempt. And I know this is a little old,

1821
01:46:12,160 --> 01:46:15,519
Speaker 1: but I've just reminded here of the Megan Markle. I

1822
01:46:15,560 --> 01:46:17,519
Speaker 1: didn't pay it a lick. I didn't pay a lick

1823
01:46:17,560 --> 01:46:19,439
Speaker 1: of attention to the Megan Marko. I don't even I

1824
01:46:19,479 --> 01:46:22,519
Speaker 1: didn't follow any of it. But my understanding is that

1825
01:46:22,560 --> 01:46:25,719
Speaker 1: she was whining and complaining about stuff, and the fact

1826
01:46:25,800 --> 01:46:28,600
Speaker 1: that this victimhood, which has been the theme of this

1827
01:46:28,640 --> 01:46:31,759
Speaker 1: hour so deep seated in our culture that a girl

1828
01:46:31,880 --> 01:46:37,720
Speaker 1: from Canoga Park, La median income fifty thousand dollars to

1829
01:46:37,840 --> 01:46:40,160
Speaker 1: grow up to become an actress at all, and then

1830
01:46:40,200 --> 01:46:43,880
Speaker 1: grow up to become a literal princess and still complain

1831
01:46:43,960 --> 01:46:45,839
Speaker 1: to the Queen of England and the Queen of America

1832
01:46:45,840 --> 01:46:48,320
Speaker 1: Oprah about how terrible whole life is and how racist

1833
01:46:48,320 --> 01:46:53,360
Speaker 1: white people are, what is wrong with us? But this

1834
01:46:53,439 --> 01:46:57,200
Speaker 1: is what happens when you raise kids in this Marxist

1835
01:46:57,360 --> 01:47:00,840
Speaker 1: soup and asked to stop. We have to be done

1836
01:47:00,840 --> 01:47:03,840
Speaker 1: with it. Mike's later dot locals dot com. I never

1837
01:47:03,880 --> 01:47:06,200
Speaker 1: mentioned that the entire show, but then that's our website.

1838
01:47:06,760 --> 01:47:09,080
Speaker 1: Everything we talk about is thrown up there, Mike Slater

1839
01:47:09,400 --> 01:47:13,280
Speaker 1: dot locals dot com, and you can follow us there

1840
01:47:13,320 --> 01:47:15,160
Speaker 1: and bring our local show on our TV show. I

1841
01:47:15,160 --> 01:47:16,639
Speaker 1: didn't mention this either. Buck and I we have TV

1842
01:47:16,680 --> 01:47:18,559
Speaker 1: shows together on the first, so you can watch us

1843
01:47:18,560 --> 01:47:23,280
Speaker 1: both together. I'm on at eleven Eastern is my TV show,

1844
01:47:23,439 --> 01:47:25,160
Speaker 1: so you can listen. You can listen, you can watch

1845
01:47:25,160 --> 01:47:26,479
Speaker 1: me and Buck. You can listen to me and Buck.

1846
01:47:26,479 --> 01:47:28,439
Speaker 1: What an honor to be filmed in for Buck today.

1847
01:47:28,840 --> 01:47:31,360
Speaker 1: We'll see if I'm back tomorrow, but it's an honor

1848
01:47:31,920 --> 01:47:33,720
Speaker 1: to have been here. Either way. I have a great

1849
01:47:33,720 --> 01:47:34,760
Speaker 1: rest of your day. Spread the word