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Speaker 1: If you're gonna run a great business, you've got to

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Speaker 1: have great people, and finding them is a huge part

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Speaker 1: to zip recruiter dot com, slash buck. That's zipp recruiter

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Speaker 1: smartest way to hire. Once you check out their interface

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Speaker 1: and you see those candidates come right into your inbox,

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Speaker 1: you're gonna realize there's a great choice. Zipp recruiter dot com,

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Speaker 1: slash buck. M you are entering the freedom hunt. Seattle

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Speaker 1: passes a law that says that some mega corporations with

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Speaker 1: very progressive politics might have to contribute just a little

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Speaker 1: bit to help with the homeless this problem. Guess what

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Speaker 1: those lefty corporations are freaking out. We'll talk about that.

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Speaker 1: And also the latest with the upcoming North Korea US

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Speaker 1: summit Trump and Kim Jong own there are some threats

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Speaker 1: passing back and forth. The media continues to lie about

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Speaker 1: what had transpired in last forty eight hours between Israelis

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Speaker 1: and Palestinians at the border of Gaza. And also the

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Speaker 1: social justice warriors have taken over the sciences including medicine.

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Speaker 1: That and more coming up. This is the bus Sexton Show,

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Speaker 1: where the mission or mission is to decode what really

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Speaker 1: matters with passionable intelligence. Make no mistakes American. Let brank,

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Speaker 1: You're a great American Again The Buck Sexton Show begins. No,

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Speaker 1: Welcome to the Buck Sexton Show. Everybody's great to have

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Speaker 1: you with me. Is always live from the Swamp. We've

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Speaker 1: gotta get some cool swamp sound effects. You know, Gate

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Speaker 1: is in the Bayou, that kind of thing. Although this

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Speaker 1: isn't a charming swamp like what you have in Louisianna.

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Speaker 1: This is uh. This is a swamp of lobbyists and

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Speaker 1: influence seekers. You know, if I had to give you

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Speaker 1: a a tagline on our nation's Captain Washington d C.

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Speaker 1: It's where tremendous ambition meets relentless mediocrity. That's really what

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Speaker 1: I think of when I think of DC. That that

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Speaker 1: should I don't think they're gonna put that up on

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Speaker 1: the on the board of tourism anytime soon for the

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Speaker 1: District Columbia. But that's the do you want to know

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Speaker 1: what's really going on here? There? You have it. So

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Speaker 1: I've got a lot of stuff that I'm excited. I'm

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Speaker 1: excited to talking about today. I had so much time

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Speaker 1: to read it. I was up late last night reading

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Speaker 1: in doing research, and then today uh, getting situated here

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Speaker 1: in in the district, in in the swamp. Um. But

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Speaker 1: the story I want to leave with is not one

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Speaker 1: that I think you're seeing grabbing all the headlines. Right.

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Speaker 1: I know that there's a lot of attention on North Korea.

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Speaker 1: Will we'll get to that and the possibility of a

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Speaker 1: cancelation of the summit. This is where we're seeing the

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Speaker 1: Kim Jong on that we expected. Right, He's gonna be KG.

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Speaker 1: He's not someone we can trust. Administration knows all this

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Speaker 1: um I want to start, though, with a continuation on

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Speaker 1: a theme that we often have here in the Hut,

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Speaker 1: the freedom Hut, as it were, and that is that

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Speaker 1: progressives espouse certain beliefs. They tell us that they really

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Speaker 1: care about certain things, and yet when it affects them directly,

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Speaker 1: all of a sudden is whoa hold on a second, all,

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Speaker 1: what's all this, what's all this status m going on here?

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Speaker 1: What's all the latest here? With big government? In effect,

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Speaker 1: settle down with those taxes. Great examples of this that

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Speaker 1: we've been discussing recently schools. Liberals are all about just

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Speaker 1: the social experimentation by social justice warriors in the public

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Speaker 1: school system in all schools if they can until it

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Speaker 1: affects like their kids school, then all of a sudden

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Speaker 1: there like, you know, I don't want to just bring

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Speaker 1: in a bunch of low performing students and make the

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Speaker 1: better performing students in this school, the school that you

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Speaker 1: know my kid goes to have to deal with that,

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Speaker 1: but everybody else should have to deal with that. But

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Speaker 1: I don't want to deal with that. You know, this

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Speaker 1: is for thee but not for me. A definitional slogan

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Speaker 1: for modern democrats and progressivism also true amount illegal immigration.

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Speaker 1: I remember and when we talked, yes in Alibu, hey

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Speaker 1: do you come here at the booze goes syr feing, Right,

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Speaker 1: That's not what anyone Malibu talks like. They're like, well,

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Speaker 1: where's the butler. The chardonnay has gone warm. That's what

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Speaker 1: they sound like in Malibu. But they don't like it

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Speaker 1: when homeless people are camping out down the street from them.

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Speaker 1: They want the city of Los Angeles, for example, to

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Speaker 1: allow there to be ten cities that pop up and

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Speaker 1: and no ordinances enforced about not Remember it's not just

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Speaker 1: the tents on the street. Then the cooking occurs on

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Speaker 1: the street, urination, defecation, uh, sexual activity. This is all

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Speaker 1: occurring intense on the street. Do you want to walk

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Speaker 1: past that? I remember New York City in the late eighties,

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Speaker 1: really nineties, I tell you, you you know, as a little kid,

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Speaker 1: you know, holding my dad or my mom's hand real

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Speaker 1: tight as we walked past and open there homeless shelter

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Speaker 1: that wasn't actually a shelter. It just was people that

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Speaker 1: had set up a city on the street, you know,

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Speaker 1: yelling at each other, fights would break out, their sexual

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Speaker 1: assaults would happen, And I'm like a six seven eight

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Speaker 1: year old kid. I remember walking past that. It was

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Speaker 1: not something that we wanted, but it was in our neighborhood.

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Speaker 1: What are you gonna do. You're gonna cower and fear,

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Speaker 1: you're gonna hide. The city authorities didn't want to clean

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Speaker 1: it up. And I was in liberal New York by

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Speaker 1: the way. But that's a whole other discussion. Now you

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Speaker 1: get all these liberals that have managed to separate themselves

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Speaker 1: in the rest of society. So they're all in favor

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Speaker 1: of illegal immigration, but they don't want I legal immigrants.

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Speaker 1: They don't want asylum seekers for example from Nicarago or

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Speaker 1: a Salvador being put in their school system. Right. They

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Speaker 1: don't want those undocumented miners, right, those dreamers, if you will, UH,

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Speaker 1: in their school system. They want them in your school system.

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Speaker 1: They want the taxpayer to pick up the bill for them,

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Speaker 1: but not them as a taxpayer. They don't want to

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Speaker 1: have to deal with the hit. And here we are.

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Speaker 1: So with all of that lined up, here we are

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Speaker 1: with a UH and a completely unsurprising circumstance of two

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Speaker 1: of the biggest most progressive corporations out there, Amazon, owned

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Speaker 1: by Jeff Bezos and Starbucks. Remember, don't forget Bezos about

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Speaker 1: the Washington Post. He has tremendous influence on elite opinion

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Speaker 1: as a result of that. But you have Amazon and

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Speaker 1: also Starbucks, two of the biggest companies in the country

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Speaker 1: right to the and very progressive ones at that. You know,

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Speaker 1: Starbucks just decided that you no longer have to be

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Speaker 1: a customer to use the bathrooms. You know what that's

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Speaker 1: gonna mean for the bathrooms at Starbucks. They're going to

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Speaker 1: make the Port Authority bus terminal in Manhattan's Circle like

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Speaker 1: five when it was for you know, people fleeing the law,

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Speaker 1: runaways and and homeless uh, you know, homeless vagrance right there,

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Speaker 1: a lot of that in the Port Authority Buster. It's

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Speaker 1: gonna be the bathroom like you'd find there. That's what's

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Speaker 1: gonna end up and a lot of Starbucks, not all

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Speaker 1: of them, but because people don't care, there's no longer

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Speaker 1: any relationship between the customer and the establishment. Now, look,

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Speaker 1: I'm not gonna follow my sword over Starbucks bathrooms. I

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Speaker 1: don't really care all that much, but it's not gonna

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Speaker 1: be good total aside. But this goes in the buck

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Speaker 1: wisdom category. I I think it was Anthony Boordain, but

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Speaker 1: I forget who it was who wrote that. You can

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Speaker 1: tell everything you need to know about the bathroom in

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Speaker 1: a restaurant, everything if you just pay attention. I used

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Speaker 1: to think that was silly. I've actually found it. I've

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Speaker 1: gotten older, it's true. Just that's just file that one

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Speaker 1: away on the random Buck Random Buck Nuggets of Wisdom. Um,

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Speaker 1: there are some other things, you know, there's some other things.

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Speaker 1: If if the soup is good, you're usually in very

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Speaker 1: good shape. If the bread is good they bring out,

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Speaker 1: you're usually in very good shape. But stories for another time.

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Speaker 1: Back to Starbucks and Amazon. Seattle is a very very progressive,

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Speaker 1: left wing city has a big problem with homelessness. So

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Speaker 1: the Seattle City Council has introduced a way of alleviating

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Speaker 1: that problem. And here's what it is. We gotta we

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Speaker 1: got some affiliates on Washington State. So if any of

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Speaker 1: you folks by the way, you're listening eight four four

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Speaker 1: two five eight four four nine buck, light light it

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Speaker 1: up here and tell me what it's like. Oh you're

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Speaker 1: I think a lot of our affiliates are in interior

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Speaker 1: Washington State, not not out in Seattle, are anyway, they've

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Speaker 1: got a lot of homeless people in Seattle. Homelessness is

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Speaker 1: a very serious problem, and you know, all of us

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Speaker 1: listening have a lot. I look, I have a lot

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Speaker 1: of sympathy for the homeless. I think a lot should

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Speaker 1: be done to help the homeless. And the more you

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Speaker 1: learn about homelessness, what you find out is that you know,

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Speaker 1: the media often portrays it. Oh and by the way,

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Speaker 1: depending whether you have a Democrat or Republican as president,

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Speaker 1: the home listness problem. I think Bernie Goldberg did a

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Speaker 1: whole chapter on this in his book Bias many years ago.

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Speaker 1: And it's true, the problem of homelessness gets highlighted when

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Speaker 1: you have Republican in office, even though the same number

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Speaker 1: of homeless may have been there a week before when

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Speaker 1: it was a Democrat in office. It's used as a

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Speaker 1: political as a political tool, political cudgel. And the truth

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Speaker 1: about homelessness is that a vast majority of the homeless

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Speaker 1: now and this is a little bit different where you

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Speaker 1: have these kind of able bodied occupy wall street vagrant

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Speaker 1: types who carry around iPhones and iPads while they're like

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Speaker 1: sleeping on the street and camping around. That's different. That's it.

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Speaker 1: I'm talking about real long term homelessness. It is overwhelmingly

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Speaker 1: tied to alcohol abuse, drug abuse, and mental illness over whelmingly.

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Speaker 1: Now that's not to say that that means that we

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Speaker 1: shouldn't care or we shouldn't help whatever, but you know,

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Speaker 1: we need to understand what the problem really is. Because

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Speaker 1: also once you get that the homeless population are not

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Speaker 1: people who just like lost their job at the middle

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Speaker 1: and now couldn't make ends meet. That's very it can happen.

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Speaker 1: I mean, and people say, oh, buck, I know this

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Speaker 1: story about a person who lived in his car for

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Speaker 1: a year. By the way, I think I'm being serious

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Speaker 1: with you there, there's a term um actually think used

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Speaker 1: it in here somewhere when you're when you're living in something,

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Speaker 1: but you know, like a car, you're not homeless. You're

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Speaker 1: like considered unhoused, I think, is what they say. Um.

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Speaker 1: But yeah, it can happen, you lose your job, hit

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Speaker 1: hard times, but long term what you could consider the

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Speaker 1: same way there's structural unemployment, there's kind of structural homelessness

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Speaker 1: in the sense that there's a certain um, you know,

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Speaker 1: long term homeless population that we're dealing with. Uh. And

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Speaker 1: if you're gonna look at the problem. Realistically, it's not

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Speaker 1: a downturn in the stock market that calls it. It's

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Speaker 1: not you know, the the unemployment rate affects it a

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Speaker 1: little bit, but not all that much. It's really alcohol abuse,

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Speaker 1: drug abuse, and mental illness. Okay. That also means that

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Speaker 1: those people really need help that are on the streets.

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Speaker 1: It's not a you know, you get some people and

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Speaker 1: some of my more radical libertarian friends are like, you know,

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Speaker 1: leave them alone, like they can do whatever they want. Well,

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Speaker 1: you know, urinating and defecating and sexual activity in public

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Speaker 1: and you know, setting fires because you're cooking stuff and

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Speaker 1: unsafe way like, these are municipal issues. These are problems

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Speaker 1: for cities and towns that to deal with because it's

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Speaker 1: a problem for everybody else. And also there are these

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Speaker 1: cases of um, you know, a majority of vast majority

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Speaker 1: of the homeless even more than that, right whatever. Overwhelmingly

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Speaker 1: the homeless are nonviolent, but there are cases where some

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Speaker 1: pretty terrible stuff happens because somebody's mentally ill and a

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Speaker 1: threat to the public and they don't get dealt with.

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Speaker 1: So that's just some back backstory for this issue of

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Speaker 1: the tax. Because what is the government's first, well, government's

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Speaker 1: first rule, have had a deal. The problem is is

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Speaker 1: hold the committee right or have hearings? You know, have meetings.

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Speaker 1: What's the second? The second thing that the government always does.

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Speaker 1: That's right, find a way to spend your money. You

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Speaker 1: gotta hold the meetings. You figure out where you're spending

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Speaker 1: the money. Not that it's going to be spent well,

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Speaker 1: but then they take your money. That's how government solves problems.

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Speaker 1: They think, that's what government thinks it is doing. We're

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Speaker 1: gonna spend money on this, it will solve the problem.

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Speaker 1: You would think though, that Amazon, which is one of

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Speaker 1: the largest most powerful companies in the world. I mean,

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Speaker 1: it's on track to be a trillion dollar company in

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Speaker 1: terms of its value. And you think that Starbucks as well,

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Speaker 1: which is I think just after McDonald's in terms of

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Speaker 1: number of franchises across the country. Um that they would

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Speaker 1: be all in favor of attacks to deal specifically with homelessness.

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Speaker 1: And the Seattle City Council must to figure the same

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Speaker 1: thing that they're gonna raise tens of millions of dollars

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Speaker 1: by having a head tax on those on on any

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Speaker 1: company with revenues of over twenty million dollars. By the way,

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Speaker 1: that's not just Amazon and Facebook, but they're just two

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Speaker 1: companies that have gotten very vocal about this. And it's

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Speaker 1: gonna be roughly two. Originally they said five dollars a person.

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Speaker 1: So for every if you make over twenty million dollars

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Speaker 1: a year, you have to give five hundred dollars a

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Speaker 1: person in taxes to this fund in Seattle deal with homelessness.

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Speaker 1: And then they cut it down two fifty dollars a person.

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Speaker 1: But what they're seeing is, sure enough, the biggest companies

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Speaker 1: involved here are losing their minds over this. Starbucks and

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Speaker 1: an Amazon specifically all of a sudden feel like they

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Speaker 1: need to call out how the government is inefficient. Oh,

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Speaker 1: they're saying, the government's not going to spend the money. Well,

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Speaker 1: whoa hold on a second? Starbucks and Amazon, you guys

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Speaker 1: are pushing progressive agenda all the time. You know. Now

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Speaker 1: now all of a sudden, you're worried about the government

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Speaker 1: being inefficient, about taxes that are punitive, About the effect

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Speaker 1: on employment. Oh when the tax affects you, meaning you

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Speaker 1: mega corporations of the left. Now it's a problem. Now

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Speaker 1: it's anti business, Now, it's anti competitive. You know, couldn't

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Speaker 1: that be said to be true of other taxes that

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Speaker 1: are instituted with the best of intentions. You know, things

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Speaker 1: that any social justice warrior would be pleased about. You

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Speaker 1: see the moment that it starts to affect them, the

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Speaker 1: loudest voices in the Democrat Party, in the left, they

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Speaker 1: start to change their tune. It is so very, very

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Speaker 1: predictable because you know where I'm going. Hypocrisy is the

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Speaker 1: defining characteristic on an individual level, and now is if

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Speaker 1: you're on a corporate level of the modern progressive hypocrisy

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Speaker 1: is they're defining characteristic. They want all these things to

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Speaker 1: be done by the government in their name that they like,

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Speaker 1: but not be done to them and not to affect them. See,

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Speaker 1: I got a problem with that. We also got to

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Speaker 1: talk about going on in Illinois with their system here,

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Speaker 1: we got a lot more show team. I mean, we

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Speaker 1: just got started, but I'm just getting started. We haven't

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Speaker 1: even gotten into North Korea, fallout from Gaza yesterday, a

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Speaker 1: whole lot more stuff. Oh and the I think the

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Speaker 1: single silliest thing that Kirsten Gillibrand has ever said, which

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Speaker 1: is really saying something that are more coming up. Yeah,

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Speaker 1: Bernie Sanders is getting in on and play their team.

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Speaker 1: The move toward oligarchy in our country not only impacts

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Speaker 1: our political system, it impacts our economy and the standard

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Speaker 1: of living of working people. Jeff Bezos, the founder of Amazon,

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Speaker 1: saw his wealth increase by two hundred and seventy five

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Speaker 1: million dollars every single day. Meanwhile, thousands of Amazon employees

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Speaker 1: are forced to rely on food stamps, medicaid in public

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Speaker 1: housing because their wages are just too low. Moving toward oligarchy,

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Speaker 1: baby um, Bernie's wrong in the economics, but he's right

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Speaker 1: about this debases a lot of power. But I wonder

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Speaker 1: where he is on, where Ernie is on what he

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Speaker 1: thinks about the pushback on this proposal? Right, you know, Bezos,

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Speaker 1: I'm sure, and and the the folks who run Amazon,

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Speaker 1: the folks who run Starbucks, And I would note a

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Speaker 1: lot of other companies that make over twenty million dollars

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Speaker 1: in Seattle. Those these are just the two super big

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Speaker 1: you know, those are the two companies most associated with Seattle,

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Speaker 1: along with UH. I think Microsoft moved out of Seattle, right,

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Speaker 1: it's somewhere else now, I don't know, I forget what

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Speaker 1: Microsoft is headquartered out of. But they're making a lot

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Speaker 1: of noise about this, and you would think that if

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Speaker 1: they agree with Bernie on all these issues, that here's

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Speaker 1: an opportunity to do more about the problem of homelessness.

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Speaker 1: I just thought it was so interesting to see the

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Speaker 1: that Amazon's vice president wrote or said, quote, the city

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Speaker 1: does not have a revenue problem. This is Seattle and

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Speaker 1: has a spending efficiency problem. We are highly uncertain whether

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Speaker 1: the city council's anti business positions or it's spending inefficiency

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Speaker 1: will change for the better end. Quote well, how is

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Speaker 1: that any different than any of us who have to

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Speaker 1: pay taxes on all kinds of uf feeling like, uh, yeah,

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Speaker 1: Microsoft is in Redmond, Washington. Producer Mike has told me

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Speaker 1: so different place. Um, but how is that any different

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Speaker 1: than all of us who feel like, yeah, they're just

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Speaker 1: gonna take more of my stuff and spend it poorly

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Speaker 1: on crap. You know, remember the Obama stimulus, a trillion dollars, folks,

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Speaker 1: just to give away to left wing Democrat interests. Didn't

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Speaker 1: do anything for the economy. Just spend a lot of

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Speaker 1: your money, That's the Democrat answer to everything. But when

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Speaker 1: it hits home, when the progressive corporations that love to

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Speaker 1: push social justice policies all over the place. When they

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Speaker 1: gotta pay a little more in taxes, though specifically they

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Speaker 1: have to pay more, not everybody. They go, what do

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Speaker 1: you mean, I don't like this anymore? I got another

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Speaker 1: tax problem to talking about. Stay with me. He's holding

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Speaker 1: the line for America, Buck Sexton his back. So not

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Speaker 1: only do you have this idea of listeners or or

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Speaker 1: I should say, addressing to be fair to the the

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Speaker 1: liberal redistributionists do gooders out there in Seattle and elsewhere.

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Speaker 1: They want to address the problem of homelessness with us.

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Speaker 1: They know it's not gonna fix it. Okay, fine, but

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Speaker 1: just tax people, tax the rich. It's the Bernie plan. Baby.

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Speaker 1: Oh yeah, Bernie. Thanks you tax rich people enough, you're

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Speaker 1: gonna get You're gonna get more of what you need.

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Speaker 1: The problem with doing things like that in cities and

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Speaker 1: and Amazon, by the way, is big enough that it

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Speaker 1: did throw its weight around. It threatened to stop building

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Speaker 1: a headquarters because of this tax specifically. But you know,

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Speaker 1: Amazon is a company that can do that. Not all

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Speaker 1: companies can. But sometimes they'll be able to fight back.

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Speaker 1: Sometimes they will find a means of trying to push

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Speaker 1: back and refused to just get pillaged by the government

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Speaker 1: for its own needs, for its own reasons. But it's

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Speaker 1: not just in Seattle. It's happening all over the all

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Speaker 1: of the country in different ways, different times, different places. Illinois,

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Speaker 1: Illinois is a is the the blue readout in the Midwest, right,

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Speaker 1: it's the it's the fortress of liberalism because of Chicago

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Speaker 1: in the Midwest. And Illinois has got a massive budget

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Speaker 1: crisis that it's dealing with, right It's it's got it's

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Speaker 1: billions and billions of dollars in the whole and it's

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Speaker 1: been run by Democrats, as you know, for a very

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Speaker 1: long time. It is a it is a big problem.

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Speaker 1: What do you think the biggest issue they have is

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Speaker 1: when it comes to budget in the state of Illinois. Oh,

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Speaker 1: that's right, pensions, the because as I've told you, there

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Speaker 1: is an unholy alliance. It's not just the Illinois, it's

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Speaker 1: a number of states, but an unholy alliance between Democrat

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Speaker 1: party politics and public sector unions. And the way this

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Speaker 1: works is the best way to get benefits, to give

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Speaker 1: benefits the public sector unions is to back end it, right,

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Speaker 1: juice up the back end of the deal by giving

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Speaker 1: people cushier long term benefits than just you know, if

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Speaker 1: you start paying third grade teachers a D fifty grand

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Speaker 1: across the board, people are gonna start asking questions. Right,

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Speaker 1: But if you give them pensions where they pay very

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Speaker 1: little into their health care, they have health care for life,

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Speaker 1: their family has health care for life, all paid for

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Speaker 1: by the taxpayer, and some formula where it's you know,

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Speaker 1: sevent of the last of the average of the last

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Speaker 1: three years, or you know, it depends where you are.

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Speaker 1: I don't know. I knew what it was in New York.

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Speaker 1: I forget what it is, or I don't know what

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Speaker 1: it is in other states. But they have unfunded pension

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Speaker 1: liabilities and the taxpayers just can't keep up. Now you

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Speaker 1: may be seeing yourself, well, hold on a second, but

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Speaker 1: now this is at the state level, mind you, and

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Speaker 1: so you do have some redress here. And that's what's

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Speaker 1: going on with California, with Illinois, with New York. People

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Speaker 1: are saying I'm out, I'm done. Those who can not

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Speaker 1: everyone can. People if you're you know, underwater on your mortgage,

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Speaker 1: or if you're even just you know, you don't have

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Speaker 1: that much equity in your home, and it's the market

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Speaker 1: goes this the market for sellers go soft, and there's

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Speaker 1: all kinds of reasons why leaving is not impossible from

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Speaker 1: a certain state when it embraces more confiscatory tax model.

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Speaker 1: But it's hard. It's not that easy, you know. I

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Speaker 1: I wish that there were some conservative friendly, low tax

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Speaker 1: parts of the country that we're also major media capitals,

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Speaker 1: but I've yet to find one, have yet to find one. Unfortunately,

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Speaker 1: where where there's media, there are liberals. And that's just

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Speaker 1: the reality that I have to deal with right now.

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Speaker 1: But Illinois is as really decided to to up the

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Speaker 1: stakes here a little bit with how they're going to

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Speaker 1: approach their pension, their unfunded pension liabilities. And this courtesy

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Speaker 1: of of zero Hedge, a site that does a lot

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Speaker 1: of interesting particularly bearish and uh dare I say, catastrophe

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Speaker 1: leaning analysis, but they also do some interesting stuff. It's

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Speaker 1: a site that does affirm a good amount of traffic

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Speaker 1: and has some insightful posts. But they talk about this

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Speaker 1: this uh last month a pension event with the Civic

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Speaker 1: Federation and the Federal Reserve Bank of Chicago, and what

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Speaker 1: they decided is okay, so there's the Federals are big Chicago,

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Speaker 1: They're like here, here's the way we fix the pension

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Speaker 1: crisis in Illinois. Right, Remember we just talked about out Seattle.

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Speaker 1: How do you fix the homeless crisis? Tax corporations, which

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Speaker 1: could cause corporate corporations to leave the state. But the

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Speaker 1: way they want to fix the the the looming catastrophe,

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Speaker 1: the ticking time bomb of unfended, unfunded pension liability in

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Speaker 1: Illinois is Oh, that's right, you guessed it. Taxes on

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Speaker 1: the individual. What is the way that they are choosing

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Speaker 1: to up to raise tax of individuals to really go

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Speaker 1: after you, and that is property taxes. Now I have

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Speaker 1: a problem with this, folks, and I always have before

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Speaker 1: I get into what Illinois is doing. Just just philosophically speaking,

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Speaker 1: I think it is wrong. It is fundamentally wrong that

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Speaker 1: the government will only really tax one asset you have

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Speaker 1: as an asset in this way that it can change

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Speaker 1: as it sees fit. Right, you don't submit to the

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Speaker 1: government every year. Eight. Hey, I'm worth You know, I

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Speaker 1: have a net worth of uh let's just say by

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Speaker 1: the way I wish, right, but let's just say it's

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Speaker 1: a million dollars. Right, you have a net worth of

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Speaker 1: a million dollars. I wish that was my networth. I'm

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Speaker 1: worth a few thousands. Bring it um. But if you

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Speaker 1: have a net worth of a million dollars and you

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Speaker 1: had to submit every year a check based on that network,

425
00:26:23,760 --> 00:26:25,879
Speaker 1: that would be a wealth tax. We don't have that.

426
00:26:25,920 --> 00:26:29,119
Speaker 1: We have an income tax. So wealthy people like Nancy

427
00:26:29,160 --> 00:26:32,359
Speaker 1: Pelosi and John Kerry and other people that are wealthy

428
00:26:32,400 --> 00:26:37,240
Speaker 1: based on money that other people made, but they get

429
00:26:37,280 --> 00:26:40,960
Speaker 1: to have long term capital gains, which is tax at

430
00:26:40,960 --> 00:26:44,119
Speaker 1: a much lower rate. They have, you know, tax shelters

431
00:26:44,200 --> 00:26:47,080
Speaker 1: and and just ways of living off of the interest

432
00:26:47,119 --> 00:26:50,159
Speaker 1: of unearned income. So they don't really care, right, they

433
00:26:50,160 --> 00:26:53,880
Speaker 1: don't care what the income tax rate is. I promise

434
00:26:54,000 --> 00:26:56,199
Speaker 1: you they would care a whole lot more if all

435
00:26:56,240 --> 00:26:58,000
Speaker 1: of a sudden it was, you know what, every every

436
00:26:59,600 --> 00:27:02,879
Speaker 1: uh asked every dollar you're worth over ten million, there's

437
00:27:02,920 --> 00:27:05,120
Speaker 1: a two percent surcharge on that you sent a check

438
00:27:05,160 --> 00:27:07,840
Speaker 1: to the government every year. All the limousine liberals, you know,

439
00:27:08,240 --> 00:27:10,520
Speaker 1: would be I mean, they'd be like, lay miss baby.

440
00:27:10,520 --> 00:27:13,520
Speaker 1: There'd be pitchforks and yelling on the top of the barricade,

441
00:27:13,560 --> 00:27:18,440
Speaker 1: and you know, Monsieur Valjean, you know all that stuff, right,

442
00:27:18,440 --> 00:27:22,520
Speaker 1: they'd be freaking out right. You know, you know you're coming.

443
00:27:22,640 --> 00:27:24,280
Speaker 1: You saw the movie, you guys saw it. Don't look

444
00:27:24,320 --> 00:27:27,920
Speaker 1: at me like you saw the movie with Wolverine and

445
00:27:28,520 --> 00:27:33,919
Speaker 1: Maximus in it, whatever their real names are. Um, But

446
00:27:34,000 --> 00:27:35,840
Speaker 1: what they're doing is is a is a version of

447
00:27:35,880 --> 00:27:38,159
Speaker 1: the wealth tax bits on homes, which is where a

448
00:27:38,280 --> 00:27:42,480
Speaker 1: vast majority of people have most of their money. And

449
00:27:43,000 --> 00:27:46,440
Speaker 1: I I just disagree this because the government should not

450
00:27:46,520 --> 00:27:51,040
Speaker 1: be able two force you out of your home that

451
00:27:51,119 --> 00:27:55,040
Speaker 1: you own because they are raising the taxes on that

452
00:27:55,680 --> 00:27:58,920
Speaker 1: as an asset. Right. So if your home is worth

453
00:27:58,920 --> 00:28:02,720
Speaker 1: two year in some places you have to pay on

454
00:28:02,880 --> 00:28:04,560
Speaker 1: property taxes. A lot of you, I know right now,

455
00:28:04,600 --> 00:28:07,120
Speaker 1: are not on your heads. You're like, yep, buck, it's stinks.

456
00:28:07,320 --> 00:28:11,119
Speaker 1: I gotta send a check property taxes. He send a

457
00:28:11,200 --> 00:28:13,280
Speaker 1: check for whatever one percent of the assess value. By

458
00:28:13,280 --> 00:28:16,080
Speaker 1: the way, the assessed value depending on where you are,

459
00:28:16,320 --> 00:28:19,919
Speaker 1: but based on what the assessor thinks, assess value can

460
00:28:19,960 --> 00:28:22,080
Speaker 1: be way beyond what the market value of your home.

461
00:28:22,080 --> 00:28:24,200
Speaker 1: It's depends on where you are. But they'll say, oh yeah,

462
00:28:24,240 --> 00:28:26,280
Speaker 1: this this house is worth a half million dollars. You're like,

463
00:28:26,320 --> 00:28:29,480
Speaker 1: what I paid to fifty for it? And They're like, yeah, yeah,

464
00:28:29,480 --> 00:28:31,040
Speaker 1: but you're gonna pay taxes as though it's worth a

465
00:28:31,040 --> 00:28:32,639
Speaker 1: half million. You're like, but I can't even get I

466
00:28:32,640 --> 00:28:34,399
Speaker 1: can't get a half million dollars. I'm gonnak at two

467
00:28:34,440 --> 00:28:37,320
Speaker 1: fifty for this house. Oh no, sorry, you're gonna pay

468
00:28:37,359 --> 00:28:40,400
Speaker 1: at And that's it. Fighting and in court is very

469
00:28:40,440 --> 00:28:42,160
Speaker 1: there's a problem in New York State, by the way,

470
00:28:42,200 --> 00:28:44,520
Speaker 1: I no, no, people that have had to go through

471
00:28:44,560 --> 00:28:50,120
Speaker 1: this fight very difficult to deal with the assessor's whims.

472
00:28:50,160 --> 00:28:53,680
Speaker 1: But in in Illinois, they are taking this to the

473
00:28:53,760 --> 00:28:57,200
Speaker 1: next level where you're gonna be paying about one percent

474
00:28:57,360 --> 00:29:00,600
Speaker 1: they estimate of actual property value each year for the

475
00:29:00,640 --> 00:29:04,760
Speaker 1: next thirty years, straight up tax on the on the

476
00:29:04,840 --> 00:29:09,440
Speaker 1: overall asset that is your home. What this really means

477
00:29:09,440 --> 00:29:11,960
Speaker 1: is you're renting the home you own from the government.

478
00:29:12,000 --> 00:29:14,960
Speaker 1: You don't really own it, You rent it from the government.

479
00:29:16,320 --> 00:29:18,560
Speaker 1: This means the state of Illinois is a landlord. You

480
00:29:18,600 --> 00:29:20,200
Speaker 1: have to send them a check every year or else

481
00:29:20,240 --> 00:29:24,240
Speaker 1: you lose your home. It will be repossessed. This is wrong,

482
00:29:24,800 --> 00:29:29,000
Speaker 1: This is fundamentally wrong. And I you know what, I'm

483
00:29:29,040 --> 00:29:30,600
Speaker 1: only a few blocks away from the White House here.

484
00:29:30,640 --> 00:29:32,440
Speaker 1: I know some people down here I want to start.

485
00:29:32,720 --> 00:29:34,840
Speaker 1: You know, we we gotta I know people's a buckets

486
00:29:34,840 --> 00:29:37,600
Speaker 1: at the state level, but this needs to be a

487
00:29:37,920 --> 00:29:43,000
Speaker 1: much louder, much more forceful conversation. Government should not be

488
00:29:43,040 --> 00:29:46,640
Speaker 1: allowed to come along. And I think remember the outrage

489
00:29:47,040 --> 00:29:50,040
Speaker 1: if you try to touch Nancy Pelosi's you know, bank

490
00:29:50,040 --> 00:29:52,800
Speaker 1: account with twenty million dollars in it, just take a

491
00:29:52,840 --> 00:29:55,600
Speaker 1: percentage of it, She'd she'd freak out. She only wants

492
00:29:55,600 --> 00:29:57,280
Speaker 1: to pay a percentage. I know, I like picking on

493
00:29:57,280 --> 00:30:00,360
Speaker 1: Pelosi because she's a rich elitist, but she'll wants to

494
00:30:00,360 --> 00:30:03,120
Speaker 1: pay a percentage on the unearned income she gets from

495
00:30:03,120 --> 00:30:06,040
Speaker 1: her assets. Right. But that it's really hard because the

496
00:30:06,040 --> 00:30:08,720
Speaker 1: private jets really expensive. But you got what I'm saying,

497
00:30:09,840 --> 00:30:12,280
Speaker 1: if you were taking a percentage of of of her wealth,

498
00:30:12,440 --> 00:30:14,760
Speaker 1: she'd be very upset. Anyway, a lot of these liberals,

499
00:30:14,960 --> 00:30:17,840
Speaker 1: they're very wealthy. You know Tom Styre, well once again

500
00:30:17,920 --> 00:30:20,080
Speaker 1: the billionaire category. I guess you probably don't character you're

501
00:30:20,080 --> 00:30:24,600
Speaker 1: so wealthy that you know whatever, But otherwise wealthy people

502
00:30:24,600 --> 00:30:26,120
Speaker 1: would start to have a big issue with this. But

503
00:30:26,120 --> 00:30:30,040
Speaker 1: they're gonna start charging people in Illinois property taxes three

504
00:30:30,160 --> 00:30:34,880
Speaker 1: four five depends on where you are. That's crazy. That

505
00:30:35,160 --> 00:30:39,920
Speaker 1: is crazy. And also government bureaucrats get their pensions. And

506
00:30:40,120 --> 00:30:42,760
Speaker 1: here's the part of this that's really stinky. A zero

507
00:30:42,800 --> 00:30:46,040
Speaker 1: head zero Hedge points this out, you might say, well, back,

508
00:30:46,080 --> 00:30:48,440
Speaker 1: they should leave. We got plenty of room down here

509
00:30:48,480 --> 00:30:52,400
Speaker 1: in the Carolinas, plenty of room in Texas or in Florida,

510
00:30:52,480 --> 00:30:54,800
Speaker 1: and Florida is pretty crowded these days, but you know,

511
00:30:54,880 --> 00:30:57,800
Speaker 1: plenty of places they can go. Nevada, right, no state

512
00:30:57,880 --> 00:31:02,160
Speaker 1: income tax and more favorable taxation regime across the board.

513
00:31:02,400 --> 00:31:06,960
Speaker 1: Problem is, property taxes are also tied to the value

514
00:31:06,960 --> 00:31:12,840
Speaker 1: of the home, so it becomes harder to Once they

515
00:31:12,920 --> 00:31:15,320
Speaker 1: raise the property taxes, becomes harder to sell the home,

516
00:31:16,000 --> 00:31:18,400
Speaker 1: which means you've got to lower the price, which is

517
00:31:18,440 --> 00:31:22,360
Speaker 1: just another form of confiscating wealth from people to give

518
00:31:22,400 --> 00:31:25,160
Speaker 1: it to the government, and confiscating wealth from those who

519
00:31:25,200 --> 00:31:27,560
Speaker 1: are working hard. This is it's going to affect affect

520
00:31:27,560 --> 00:31:31,760
Speaker 1: people at the you know, at the everyman, you know,

521
00:31:31,840 --> 00:31:35,920
Speaker 1: working class level, all the way up the chain in Illinois,

522
00:31:36,000 --> 00:31:38,040
Speaker 1: and it's just it's just an outrage, you know, and

523
00:31:38,080 --> 00:31:40,880
Speaker 1: you're seeing this in other states too. The taxes are

524
00:31:40,920 --> 00:31:43,880
Speaker 1: gonna go up, and this I'm gonna put a pin

525
00:31:43,920 --> 00:31:45,120
Speaker 1: in this. Now. We're gonna move on to some other

526
00:31:45,160 --> 00:31:47,880
Speaker 1: stuff I got. We gotta talk Gaza, North Korea, and

527
00:31:47,920 --> 00:31:49,400
Speaker 1: there's a lot of that coming up. But you know,

528
00:31:50,280 --> 00:31:52,840
Speaker 1: your pocketbook matters, right your Your money matters to me.

529
00:31:52,960 --> 00:31:58,440
Speaker 1: My money matters to me. Tax increases are coming at

530
00:31:58,440 --> 00:32:00,720
Speaker 1: the state level in I think you gonna see a

531
00:32:00,760 --> 00:32:05,080
Speaker 1: lot of this, and it is only a matter of time,

532
00:32:05,120 --> 00:32:06,720
Speaker 1: and it could be a lot sooner than it feels

533
00:32:06,800 --> 00:32:11,720
Speaker 1: right now before federal income taxes are gonna get raised.

534
00:32:11,720 --> 00:32:13,320
Speaker 1: I know, right now, we're still kind of filling the

535
00:32:13,400 --> 00:32:16,160
Speaker 1: high of Trump's tax cuts, and it's been a good thing,

536
00:32:16,200 --> 00:32:18,200
Speaker 1: great for the business, great for business, grip of economy.

537
00:32:18,400 --> 00:32:21,960
Speaker 1: Do any of you listening for one second think that

538
00:32:22,000 --> 00:32:25,920
Speaker 1: the Democrats will turn around after this and say, yeah,

539
00:32:26,120 --> 00:32:28,560
Speaker 1: you know what tax cuts were that that that that worked,

540
00:32:28,720 --> 00:32:31,640
Speaker 1: Let's try that again, or let's keep it going. No,

541
00:32:31,800 --> 00:32:35,080
Speaker 1: my friends, they want to turn right around and make

542
00:32:35,160 --> 00:32:38,400
Speaker 1: up for lost time and just tax and tax you

543
00:32:38,880 --> 00:32:42,520
Speaker 1: into oblivion. Nancy Pelosi, Bernie Sanders, and others. They want

544
00:32:42,520 --> 00:32:44,880
Speaker 1: to take more of your money, if not to fund

545
00:32:44,880 --> 00:32:47,920
Speaker 1: pension liabilities in the state. In states which they're not

546
00:32:47,920 --> 00:32:51,720
Speaker 1: going to do that. Obviously, they're doing it too pay

547
00:32:51,800 --> 00:32:54,560
Speaker 1: for the twenty trillion dollars plus of debt we've run up.

548
00:32:55,400 --> 00:33:01,000
Speaker 1: Oh yeah, it's coming. They just remember the words of Amazon.

549
00:33:01,080 --> 00:33:04,120
Speaker 1: Right now. We're worried about how the UH money will

550
00:33:04,160 --> 00:33:06,880
Speaker 1: be allocated and spent by the state in this instance. Yeah,

551
00:33:07,080 --> 00:33:10,240
Speaker 1: I'm worried, my man, about how the money is allocated

552
00:33:10,240 --> 00:33:13,000
Speaker 1: and spent in every instance by the federal government. Well,

553
00:33:13,040 --> 00:33:15,480
Speaker 1: I want to give them the bare minimum of my

554
00:33:15,600 --> 00:33:18,800
Speaker 1: cash because Buck needs it. Buck needs a new pair

555
00:33:18,840 --> 00:33:29,640
Speaker 1: of shoes too. We'll be right back. We have yet

556
00:33:29,680 --> 00:33:34,280
Speaker 1: to see any credible evidence or intelligence that led to

557
00:33:34,320 --> 00:33:37,680
Speaker 1: the opening of this investigation. I believe they never should

558
00:33:37,720 --> 00:33:42,520
Speaker 1: have opened a counterintelligence investigation into a political party. Counterintelligence

559
00:33:42,560 --> 00:33:46,720
Speaker 1: investigations are are very very rarely do they happen, and

560
00:33:46,720 --> 00:33:49,240
Speaker 1: when they do happen, you have to be very careful

561
00:33:49,280 --> 00:33:52,320
Speaker 1: because you're you're using the tools of our intelligence services

562
00:33:52,640 --> 00:33:55,920
Speaker 1: and relationships with other countries in order to spy on

563
00:33:55,960 --> 00:34:00,440
Speaker 1: a political campaign. Probably not a good idea, Yeah, I was,

564
00:34:00,480 --> 00:34:03,680
Speaker 1: Devin noonez you know, I think that one one separation,

565
00:34:03,800 --> 00:34:06,520
Speaker 1: one difference between the way a lot of conservatives I know,

566
00:34:06,560 --> 00:34:07,960
Speaker 1: of you all this stuff, and the way the left

567
00:34:08,000 --> 00:34:10,799
Speaker 1: views it is that if I were to find out

568
00:34:10,880 --> 00:34:14,640
Speaker 1: on all this, with the Mueller probe and everything, the

569
00:34:14,719 --> 00:34:17,120
Speaker 1: Russia collusion stuff, if I were to find out that

570
00:34:17,239 --> 00:34:21,359
Speaker 1: I had been in in any way really wrong about this,

571
00:34:22,440 --> 00:34:25,560
Speaker 1: meaning that there there really was a credible and serious

572
00:34:25,680 --> 00:34:27,880
Speaker 1: effort to work with I mean, I can't say with

573
00:34:27,920 --> 00:34:33,279
Speaker 1: a straight face, but yeah, I would be um very

574
00:34:33,400 --> 00:34:36,560
Speaker 1: upset at people working in the administration. I'd be very

575
00:34:36,640 --> 00:34:39,160
Speaker 1: upset at the Trump administration, and I would want answers

576
00:34:39,160 --> 00:34:42,520
Speaker 1: and I would want justice. That all said, it's kind

577
00:34:42,520 --> 00:34:44,880
Speaker 1: of like saying, well, okay, what what would I do

578
00:34:44,960 --> 00:34:47,440
Speaker 1: if if space aliens landed tomorrow and like try to

579
00:34:47,480 --> 00:34:49,200
Speaker 1: take over the human race? It's not something that I

580
00:34:49,239 --> 00:34:53,799
Speaker 1: worry much about. But on the other hand, if in

581
00:34:53,920 --> 00:34:58,080
Speaker 1: fact it becomes irrefutably true, as I believe it is

582
00:34:58,160 --> 00:35:04,880
Speaker 1: increasingly the ace, if it becomes irrefutable cannot be debated

583
00:35:04,920 --> 00:35:10,040
Speaker 1: by any honest and serious person that the intelligence community,

584
00:35:10,120 --> 00:35:14,000
Speaker 1: the f behind the d o J were embroiled in

585
00:35:14,080 --> 00:35:21,680
Speaker 1: a plot two undermine the Trump administration weaponized the intelligence community,

586
00:35:21,680 --> 00:35:24,680
Speaker 1: weaponized the spying and the fires the process, everything and

587
00:35:24,760 --> 00:35:26,200
Speaker 1: by the way, I know you're like buck already there.

588
00:35:26,239 --> 00:35:28,000
Speaker 1: But but but I mean, when we get the real, the

589
00:35:28,000 --> 00:35:32,040
Speaker 1: smoking gun that not even MSNBC can ignore, right, the

590
00:35:32,200 --> 00:35:35,080
Speaker 1: small game gun that cannot be explained away, Here's the

591
00:35:35,120 --> 00:35:36,960
Speaker 1: part of this that I know is true, and I

592
00:35:37,000 --> 00:35:41,120
Speaker 1: just want to psychologically prepare you and me for it.

593
00:35:41,200 --> 00:35:47,799
Speaker 1: No matter what we find out about what Comy and

594
00:35:47,960 --> 00:35:52,879
Speaker 1: Struck and Page and McCabe and Yates and all these

595
00:35:52,880 --> 00:35:55,239
Speaker 1: different characters, no matter what we found out they did,

596
00:35:56,360 --> 00:36:02,440
Speaker 1: no matter how obvious sleep police state and authoritarian and

597
00:36:02,480 --> 00:36:07,080
Speaker 1: wrong and deep state, and the left will be like, yeah,

598
00:36:07,120 --> 00:36:12,600
Speaker 1: it was necessary, though under the circumstances you cannot shame them.

599
00:36:12,640 --> 00:36:16,400
Speaker 1: There will be no shame if, in fact, it becomes

600
00:36:16,400 --> 00:36:20,319
Speaker 1: clear as it already I think is almost there to

601
00:36:20,600 --> 00:36:24,640
Speaker 1: anyone looking at this, that that the real, the real,

602
00:36:24,760 --> 00:36:28,480
Speaker 1: underhanded effort was to stop Trump, not to help Trump,

603
00:36:28,560 --> 00:36:32,960
Speaker 1: from within our own government, using sources in the Trump campaign,

604
00:36:33,080 --> 00:36:35,320
Speaker 1: run by the FBI, the d o J, and perhaps others.

605
00:36:36,200 --> 00:36:38,080
Speaker 1: If we get to that that day, when it's just

606
00:36:38,200 --> 00:36:40,799
Speaker 1: all there and clear and clear as day for us,

607
00:36:42,280 --> 00:36:45,359
Speaker 1: they won't care. They will think that all this had

608
00:36:45,400 --> 00:36:49,359
Speaker 1: been worthwhile. They'll be happy with what's going on, and they,

609
00:36:49,719 --> 00:36:51,719
Speaker 1: in their view, they wouldn't matter what folks, I need

610
00:36:51,800 --> 00:36:54,960
Speaker 1: you to remember that they're not playing this game to

611
00:36:55,000 --> 00:36:57,719
Speaker 1: be ethical. They're not playing this game to defend our democracy,

612
00:36:57,760 --> 00:37:00,960
Speaker 1: to uphold their institution. That's just the facade. That's just

613
00:37:00,960 --> 00:37:03,440
Speaker 1: what they tell each other. Many of them do so

614
00:37:03,520 --> 00:37:08,359
Speaker 1: with a bit of a snide sneer. They have no

615
00:37:08,480 --> 00:37:11,400
Speaker 1: interest in the facts or the truth about any of this. Really,

616
00:37:11,760 --> 00:37:18,600
Speaker 1: it's just meant to tie down, bog down, and harass

617
00:37:19,200 --> 00:37:22,759
Speaker 1: Trump and his administration. And that's what's going on here.

618
00:37:24,120 --> 00:37:27,720
Speaker 1: Nine Line Apparel is a veteran owned and operated patriotic

619
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635
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Speaker 1: disseminating information with actionable intelligence. No mistake, America, You're a

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Speaker 1: great American again. This is the Buck Sexton Show. Activity Analysts. Sexton,

637
00:38:46,560 --> 00:38:48,759
Speaker 1: Welcome back to the Buck Sexton Show, everybody. I want

638
00:38:48,760 --> 00:38:53,799
Speaker 1: to follow up with what happened with Hamas yesterday at

639
00:38:53,920 --> 00:39:00,160
Speaker 1: the Israel Gaza border. First of all, the way that

640
00:39:00,239 --> 00:39:04,160
Speaker 1: the media talks about this stuff, it's it's astonishing to

641
00:39:04,160 --> 00:39:06,600
Speaker 1: me that so many people in New York and d

642
00:39:06,719 --> 00:39:13,320
Speaker 1: C have such a soft spot for vicious terrorists. Based

643
00:39:13,320 --> 00:39:14,640
Speaker 1: on the way they talk about it, I don't know

644
00:39:14,640 --> 00:39:18,040
Speaker 1: what else to say. They seem to really bend over

645
00:39:18,120 --> 00:39:24,480
Speaker 1: backwards to do the minimum of means. Speaking about Hamas,

646
00:39:25,680 --> 00:39:30,640
Speaker 1: an organization that, if it could, would launch suicide bombing,

647
00:39:30,640 --> 00:39:35,279
Speaker 1: attacks against Israeli women and children and the elderly at

648
00:39:35,400 --> 00:39:39,640
Speaker 1: weddings in pizzerias and discotheq every day. That's what Hamas

649
00:39:39,719 --> 00:39:44,160
Speaker 1: would do if it could every single day. We know

650
00:39:44,239 --> 00:39:47,239
Speaker 1: this because they've done it before, not every day, but

651
00:39:47,280 --> 00:39:51,719
Speaker 1: as often as was possible for them, and the Israeli's

652
00:39:52,800 --> 00:39:57,200
Speaker 1: outflanked the bad guys, created a wall, created barriers, created

653
00:39:57,239 --> 00:40:01,160
Speaker 1: security for themselves. Sorry, Hamas, go live in the misery

654
00:40:01,239 --> 00:40:06,239
Speaker 1: that you create for yourselves in Gaza. It really is

655
00:40:06,280 --> 00:40:09,920
Speaker 1: in exemple are It's a case study the whole world.

656
00:40:10,320 --> 00:40:12,880
Speaker 1: Do you want to be a rule of law, civilized

657
00:40:12,880 --> 00:40:16,360
Speaker 1: Western style democracy Israel, or do you want to be

658
00:40:17,120 --> 00:40:26,799
Speaker 1: an authoritarian theocracy based on hatred and jihad Gaza? One

659
00:40:26,840 --> 00:40:28,160
Speaker 1: of them is a nice place to visit, a nice

660
00:40:28,160 --> 00:40:32,200
Speaker 1: place to live. The other is not. It doesn't have

661
00:40:32,280 --> 00:40:36,040
Speaker 1: to be that way. Gaza actually could be a nice

662
00:40:36,040 --> 00:40:39,040
Speaker 1: place to live. The problem with Gaza is hermas in

663
00:40:39,080 --> 00:40:40,759
Speaker 1: the ideology of a lot of people who live there.

664
00:40:43,360 --> 00:40:45,200
Speaker 1: Media doesn't seem to get the hint on this though.

665
00:40:46,120 --> 00:40:48,799
Speaker 1: I really don't, and I mean here, here's just a

666
00:40:48,840 --> 00:40:54,000
Speaker 1: montage producer Michael together play clip too. These were peaceful protesters,

667
00:40:54,120 --> 00:40:57,279
Speaker 1: and a lot are saying that Israelis didn't necessarily have

668
00:40:57,440 --> 00:41:00,080
Speaker 1: to use live fire on them. Tens of thousands of

669
00:41:00,160 --> 00:41:04,320
Speaker 1: young people crossing fields between the urban part of Gaza

670
00:41:04,760 --> 00:41:09,840
Speaker 1: and the Israeli border unarmed. The protesters, including six children

671
00:41:09,840 --> 00:41:13,160
Speaker 1: who were reportedly killed today, seem to be losing their

672
00:41:13,200 --> 00:41:17,040
Speaker 1: lives for nothing. An unarmed protesters is not what it

673
00:41:17,200 --> 00:41:20,520
Speaker 1: is about. Is no justification for the shooting and killing

674
00:41:20,520 --> 00:41:24,319
Speaker 1: of unarmed Palestinian protesters, the IDEF snipers shooting kids, people

675
00:41:24,360 --> 00:41:27,839
Speaker 1: in wheelchairs behind that on, the Israeli authorities killing will

676
00:41:28,040 --> 00:41:30,960
Speaker 1: All of those babies are dead. All of those people

677
00:41:31,000 --> 00:41:36,799
Speaker 1: are dead. They're dead. All right, let's unpack this, shall

678
00:41:36,840 --> 00:41:40,480
Speaker 1: we Let's work through this together for a moment here. Oh,

679
00:41:42,880 --> 00:41:45,520
Speaker 1: what we know is that actually there were Hamas operatives.

680
00:41:45,520 --> 00:41:49,080
Speaker 1: This was released today. At least about a dozen Hamas

681
00:41:49,120 --> 00:41:52,960
Speaker 1: operatives killed people that work for Hamas internal security at

682
00:41:52,960 --> 00:41:56,240
Speaker 1: that fence. Reporting from a Jerusalem Post is As follows

683
00:41:57,520 --> 00:42:02,040
Speaker 1: uh the id F cant disturbances of the fence. Intelligence

684
00:42:02,080 --> 00:42:04,479
Speaker 1: was received that a Hamas squad was planning to place

685
00:42:04,560 --> 00:42:07,799
Speaker 1: an explosive charge on the fence to allow for a

686
00:42:07,880 --> 00:42:10,600
Speaker 1: mass infiltration into Israel. They are trying to do kind

687
00:42:10,600 --> 00:42:17,920
Speaker 1: of a prison break from Gaza into Israel to create chaos, bloodshed, anarchy.

688
00:42:18,160 --> 00:42:19,520
Speaker 1: That was that was what they were trying to do,

689
00:42:21,880 --> 00:42:27,320
Speaker 1: and they opened fire in order to prevent that. Now

690
00:42:28,040 --> 00:42:31,799
Speaker 1: the Israeli I d F. Rules of Engaged, by the way,

691
00:42:31,840 --> 00:42:34,560
Speaker 1: this reminds me of the movie Rules of Engagement was

692
00:42:34,560 --> 00:42:37,759
Speaker 1: actually pretty good. Um, if any of you have seen it,

693
00:42:38,000 --> 00:42:41,799
Speaker 1: it's got Tommy Lee Jones and Samuel Jackson and it's

694
00:42:41,800 --> 00:42:44,279
Speaker 1: at an embassy in I think they're in Yemen. I

695
00:42:44,320 --> 00:42:47,440
Speaker 1: forget if they specify that or not, but I think

696
00:42:47,440 --> 00:42:51,720
Speaker 1: it's in Yemen. And there's a protest outside the embassy.

697
00:42:51,760 --> 00:42:56,080
Speaker 1: But there are also bad people with guns killing marines

698
00:42:56,400 --> 00:42:59,800
Speaker 1: outside the m c u S marines, And so Samuel

699
00:42:59,880 --> 00:43:03,040
Speaker 1: j Action tells his guys to open up and they

700
00:43:03,160 --> 00:43:05,600
Speaker 1: kill a whole lot of people because there there are

701
00:43:05,640 --> 00:43:08,200
Speaker 1: snipers in the crowd, people with weapons in the crowd.

702
00:43:08,480 --> 00:43:11,280
Speaker 1: And then it turns into a whole political fiasco afterwards

703
00:43:11,320 --> 00:43:14,399
Speaker 1: of did this marine, you know, execute all these people

704
00:43:14,440 --> 00:43:16,759
Speaker 1: who are just peaceful protesters and you see the same

705
00:43:16,800 --> 00:43:20,840
Speaker 1: stuff unarmed, Oh they're unarmed. Well, first of all, that

706
00:43:20,960 --> 00:43:22,920
Speaker 1: wasn't the case in the movie, which I actually think

707
00:43:22,920 --> 00:43:25,000
Speaker 1: it's pretty good at worth going back and watching that

708
00:43:25,120 --> 00:43:28,440
Speaker 1: rules some engagements called um and they weren't unarmed in

709
00:43:28,480 --> 00:43:31,759
Speaker 1: this case either. See a lot of people in the

710
00:43:31,760 --> 00:43:34,759
Speaker 1: press don't understand they have no tactical training whatsoever. They

711
00:43:34,760 --> 00:43:37,520
Speaker 1: don't understand how firearms work. They don't understand how ballistics work.

712
00:43:38,360 --> 00:43:40,680
Speaker 1: So for example, when you were dealing with a crowd

713
00:43:40,719 --> 00:43:44,600
Speaker 1: of people, if someone has a Molotov cocktail and they

714
00:43:44,600 --> 00:43:46,920
Speaker 1: were running at a soldier, they keep saying, all the

715
00:43:46,920 --> 00:43:50,399
Speaker 1: snipers were shooting them. The snipers were shooting them. Um,

716
00:43:50,480 --> 00:43:53,840
Speaker 1: you can hit that person, and the bullet can actually

717
00:43:53,960 --> 00:43:58,400
Speaker 1: very easily go and hit someone behind them. It depends

718
00:43:58,400 --> 00:44:00,120
Speaker 1: on what kind of weapons we're talking about here, And

719
00:44:00,200 --> 00:44:02,560
Speaker 1: you know, is this a ghalil, what what kind of rifle?

720
00:44:02,680 --> 00:44:06,920
Speaker 1: Or the Israelis are trained to shoot at the legs

721
00:44:07,000 --> 00:44:10,440
Speaker 1: so that they're using less than or trying to use. Look,

722
00:44:10,480 --> 00:44:12,480
Speaker 1: you can still hit it from moral artery. Can You

723
00:44:12,480 --> 00:44:14,319
Speaker 1: can pretty easily die from and shot a leg too,

724
00:44:14,320 --> 00:44:17,440
Speaker 1: but a lot less likely than if you're shot center

725
00:44:17,480 --> 00:44:20,000
Speaker 1: master in the head. Then then you know, the odds

726
00:44:20,040 --> 00:44:24,000
Speaker 1: of mortality go up dramatically. But the Israelis are trying

727
00:44:24,040 --> 00:44:26,879
Speaker 1: to use less than lethal force when they could. They

728
00:44:26,880 --> 00:44:29,640
Speaker 1: were shooting at legs when they could, and then if

729
00:44:29,680 --> 00:44:31,759
Speaker 1: they felt an imminent threat, yeah, they're gonna take out

730
00:44:31,800 --> 00:44:34,440
Speaker 1: Hamas operatives trying to get to the border, trying to

731
00:44:34,480 --> 00:44:38,759
Speaker 1: get through the border, throwing molots off cocktails. You even

732
00:44:38,840 --> 00:44:42,319
Speaker 1: you had Matt Bradley over at MSNBC again with this

733
00:44:42,520 --> 00:44:46,240
Speaker 1: unarmed talking point, but then he had to actually address

734
00:44:46,280 --> 00:44:48,920
Speaker 1: that a little more plicklipic one. What I've seen here

735
00:44:49,120 --> 00:44:53,680
Speaker 1: just yesterday and last Friday was horrible violence. You saw

736
00:44:54,080 --> 00:44:58,440
Speaker 1: tens of thousands of young people crossing fields between the

737
00:44:58,520 --> 00:45:02,520
Speaker 1: urban part of Gaza and the Israeli border, essentially trying

738
00:45:02,520 --> 00:45:07,120
Speaker 1: to walk across this heavily militarized border um unarmed. Now

739
00:45:07,320 --> 00:45:09,480
Speaker 1: as you know, it's it's easy to say they were

740
00:45:09,480 --> 00:45:12,200
Speaker 1: completely unarmed. They had some light weapons. A lot of

741
00:45:12,200 --> 00:45:14,919
Speaker 1: them would be burning tires or rolling tires to try

742
00:45:14,920 --> 00:45:18,200
Speaker 1: to melt the razor wire. They had sling shots. Uh.

743
00:45:18,320 --> 00:45:21,879
Speaker 1: They had a new and crazy invention incendiary kites, where

744
00:45:21,880 --> 00:45:24,840
Speaker 1: they would try to loft kites and set them on

745
00:45:24,880 --> 00:45:27,319
Speaker 1: fire to try to light up some of the agricultural

746
00:45:27,400 --> 00:45:32,080
Speaker 1: fields beyond the border with Israel. Well, according to the

747
00:45:32,080 --> 00:45:35,520
Speaker 1: I d F, a pistol, grenade launchers, charges and preparations

748
00:45:35,520 --> 00:45:37,800
Speaker 1: for opening defense were all found where the where the

749
00:45:37,840 --> 00:45:40,759
Speaker 1: main firefight was between I d F and this so

750
00:45:40,840 --> 00:45:46,960
Speaker 1: called unarmed, unarmed mob but a few hundred people with

751
00:45:47,040 --> 00:45:51,879
Speaker 1: rocks and molotov cocktails and makeshift weapons. Would you want

752
00:45:51,880 --> 00:45:54,200
Speaker 1: to face them down? Would you feel like that was

753
00:45:54,239 --> 00:45:57,200
Speaker 1: a threat to you? Would you want to let them

754
00:45:57,239 --> 00:45:59,120
Speaker 1: pass you? If you were in charge of security, if

755
00:45:59,120 --> 00:46:02,280
Speaker 1: you were in charge of secure this nation's border, let's say,

756
00:46:02,400 --> 00:46:06,400
Speaker 1: from an angry rabble threatening to go in as they

757
00:46:06,440 --> 00:46:09,560
Speaker 1: were chanting. But how they wanted to kill the first American?

758
00:46:09,640 --> 00:46:11,560
Speaker 1: In that case they're talking about Jews, but the first

759
00:46:11,600 --> 00:46:13,719
Speaker 1: American they saw. Would you just let them through and

760
00:46:13,719 --> 00:46:16,279
Speaker 1: be like, well, you know, they didn't have that, they

761
00:46:16,280 --> 00:46:18,520
Speaker 1: didn't have semi aumatic rifles, and I didn't I didn't

762
00:46:18,520 --> 00:46:19,719
Speaker 1: think it was a fair fight, So we just let

763
00:46:19,800 --> 00:46:22,839
Speaker 1: them through. They can burn down the first house they

764
00:46:22,840 --> 00:46:24,680
Speaker 1: come to, and you know, kill all the inhabitants. But

765
00:46:24,800 --> 00:46:27,400
Speaker 1: at least I didn't shoot them. I don't think so.

766
00:46:27,440 --> 00:46:28,600
Speaker 1: I don't think you do that. I don't think I

767
00:46:28,640 --> 00:46:32,239
Speaker 1: would do that, right. How does the media not get

768
00:46:32,280 --> 00:46:35,680
Speaker 1: this and why do they play into the propaganda of

769
00:46:35,719 --> 00:46:40,400
Speaker 1: Hamas here in a way that's just so blatant, so obvious.

770
00:46:41,120 --> 00:46:44,880
Speaker 1: And not just the news media, also in pop culture

771
00:46:45,320 --> 00:46:52,080
Speaker 1: Hamas has become a resistance movement that Hollywood celebrities are like, oh,

772
00:46:52,120 --> 00:46:54,319
Speaker 1: look at what's going on with and they'll say, oh,

773
00:46:54,320 --> 00:46:56,239
Speaker 1: it's not Hamas, it's just the Palestinian people. Who do

774
00:46:56,280 --> 00:47:00,080
Speaker 1: they think is behind this? Who runs Godzas, Godzas not

775
00:47:00,160 --> 00:47:06,040
Speaker 1: a big place, Who is the law, who is the

776
00:47:06,160 --> 00:47:10,520
Speaker 1: state such as it is in Gaza's Hamas? Who wins

777
00:47:10,520 --> 00:47:13,080
Speaker 1: elections there? Although you know it's not a free society,

778
00:47:13,120 --> 00:47:15,120
Speaker 1: I know, but I'm just people. There are people who

779
00:47:15,200 --> 00:47:17,680
Speaker 1: vote for her Moss Okay, I understand that this is

780
00:47:17,719 --> 00:47:19,400
Speaker 1: not just some tyranny and force at the end of

781
00:47:19,400 --> 00:47:25,320
Speaker 1: a gun. There are Hamas supporters, lots of them. What's

782
00:47:25,320 --> 00:47:29,279
Speaker 1: the real number of stuff to say? But you you have,

783
00:47:29,520 --> 00:47:36,360
Speaker 1: for example, Chelsea Handler, who is I think charitably described

784
00:47:36,360 --> 00:47:40,560
Speaker 1: as an idiot um but she's out there with her

785
00:47:40,600 --> 00:47:42,640
Speaker 1: you know, he's got millions of Twitter followers. She's writing

786
00:47:42,680 --> 00:47:46,680
Speaker 1: this about what happened yesterday. Now the bb crazys are

787
00:47:46,800 --> 00:47:50,799
Speaker 1: running the show unchecked and will effectively turn Gaza and

788
00:47:50,840 --> 00:47:55,680
Speaker 1: the Left Bank into starvation camps or mental asylums if

789
00:47:55,719 --> 00:47:59,440
Speaker 1: not already, and bomb Iran into submission. There will be

790
00:47:59,480 --> 00:48:02,279
Speaker 1: a religious term for this. I think the evangelicals call

791
00:48:02,320 --> 00:48:06,520
Speaker 1: it the rapture. So, I mean, it's not even really

792
00:48:06,520 --> 00:48:09,960
Speaker 1: worth dissecting her stupidity. It's I just wanted to share

793
00:48:09,960 --> 00:48:12,440
Speaker 1: with you this is what American celebrities say about this.

794
00:48:14,120 --> 00:48:18,600
Speaker 1: There so hateful about Israel. Other she wrote much worse

795
00:48:18,600 --> 00:48:20,040
Speaker 1: stuff than that, but I didn't want to read all

796
00:48:20,040 --> 00:48:25,040
Speaker 1: of it on the air. Judd Apatow somebody who's, you know,

797
00:48:25,280 --> 00:48:28,200
Speaker 1: responsible for making some movies that are someone pretty funny,

798
00:48:29,040 --> 00:48:30,600
Speaker 1: someone are pretty good. I don't like, you know, some

799
00:48:30,680 --> 00:48:33,920
Speaker 1: of the stuff stinks. But he wrote it on Twitter.

800
00:48:34,000 --> 00:48:36,400
Speaker 1: Why would the US not want to investigate all of

801
00:48:36,440 --> 00:48:39,520
Speaker 1: this killing? If our people were killed somewhere, wouldn't we

802
00:48:39,560 --> 00:48:43,359
Speaker 1: want an investigation? What are we becoming? I mean that's

803
00:48:43,400 --> 00:48:47,680
Speaker 1: in response to the shootings at the fence, and we

804
00:48:47,760 --> 00:48:50,720
Speaker 1: all know. I mean this is because America supposedly shut

805
00:48:50,719 --> 00:48:56,799
Speaker 1: down this attempt by the u N to characterize the

806
00:48:56,840 --> 00:49:00,840
Speaker 1: Palestinian protesters as peaceful. They are not peaceful. But this

807
00:49:00,840 --> 00:49:04,960
Speaker 1: this word game that they play with unarmed, right people

808
00:49:05,239 --> 00:49:12,920
Speaker 1: are unarmed protesters. It's just meant to automatically set the

809
00:49:12,960 --> 00:49:15,480
Speaker 1: conversation a certain direction, which is well that if they're unarmed,

810
00:49:15,480 --> 00:49:17,440
Speaker 1: they must be innocent, they must be not a threat.

811
00:49:18,080 --> 00:49:21,080
Speaker 1: This happens with Black Lives Matter and the anti cop

812
00:49:21,120 --> 00:49:24,279
Speaker 1: protest movements in this country all the time. Oh so

813
00:49:24,360 --> 00:49:26,840
Speaker 1: and so was unarmed? Really? Well, was he trying to

814
00:49:26,960 --> 00:49:29,000
Speaker 1: punch the officer in the face and take his service

815
00:49:29,040 --> 00:49:31,600
Speaker 1: weapon because then he could really easily kill the officer.

816
00:49:32,400 --> 00:49:34,279
Speaker 1: Was that happening? Well, yeah, but he was on armed

817
00:49:34,320 --> 00:49:37,680
Speaker 1: during the struggle, he didn't get the gun because the

818
00:49:37,719 --> 00:49:40,120
Speaker 1: officer had to use force to defend himself. Okay, so

819
00:49:40,800 --> 00:49:43,040
Speaker 1: you know we see this time and again Mike Brown

820
00:49:43,719 --> 00:49:52,240
Speaker 1: ferguson unarmed guys like six pounds trying to pummel an officer,

821
00:49:52,680 --> 00:49:56,120
Speaker 1: and all accounts were that that's what happened, is that

822
00:49:56,200 --> 00:49:59,120
Speaker 1: officer supposed to let him get tackled the ground completely

823
00:49:59,160 --> 00:50:03,200
Speaker 1: outweighed outside. I you know, a big size differential with

824
00:50:03,239 --> 00:50:05,600
Speaker 1: Mike Brown, and see who wins that wrestling match with

825
00:50:05,640 --> 00:50:10,360
Speaker 1: a gun in play. I think not all right. I

826
00:50:10,360 --> 00:50:12,880
Speaker 1: have a patrol officer now retired in my family. I

827
00:50:12,880 --> 00:50:15,520
Speaker 1: wouldn't want him to wrestle with somebody of Mike Brown

828
00:50:15,680 --> 00:50:17,400
Speaker 1: size and see who ended up with the gun at

829
00:50:17,400 --> 00:50:20,680
Speaker 1: the end of it. Sorry, that's not how this goes.

830
00:50:22,920 --> 00:50:27,160
Speaker 1: But you know, there's all these different threads that come together.

831
00:50:27,200 --> 00:50:30,040
Speaker 1: Why the media loves to loves to just go along

832
00:50:30,040 --> 00:50:33,120
Speaker 1: with the Oh, the Palestinians are such victims, and you

833
00:50:33,160 --> 00:50:36,640
Speaker 1: know Hamas has misunderstood, and the Israelis are these big,

834
00:50:36,640 --> 00:50:41,719
Speaker 1: bad bullies. Part of it is just there. Uh well,

835
00:50:41,800 --> 00:50:43,520
Speaker 1: I do that. Look, there is a lot of anti

836
00:50:43,520 --> 00:50:46,160
Speaker 1: Semitism that's involved in this, certainly in the case of

837
00:50:46,480 --> 00:50:48,759
Speaker 1: European media. I think a lot of the a lot

838
00:50:48,800 --> 00:50:53,680
Speaker 1: of American journalists have problems with Israel that go beyond

839
00:50:53,760 --> 00:50:57,960
Speaker 1: its foreign policy as well. But then beyond that, you

840
00:50:58,000 --> 00:51:01,120
Speaker 1: have the the idea of the Palestinians. Then we're gonna

841
00:51:01,120 --> 00:51:04,799
Speaker 1: talk a lot about intersectional politics, identity politics, and how

842
00:51:04,800 --> 00:51:07,120
Speaker 1: it affects medical school and science by the way, in

843
00:51:07,160 --> 00:51:10,319
Speaker 1: this country. That's gonna be a conversation we'll get into

844
00:51:10,400 --> 00:51:12,200
Speaker 1: later this hour. And then I'll go you know, probably

845
00:51:12,239 --> 00:51:13,920
Speaker 1: going to the next hour to I think this is

846
00:51:13,960 --> 00:51:18,480
Speaker 1: such an important topic. But even the Palestinians abroad and

847
00:51:18,520 --> 00:51:20,399
Speaker 1: the way that we the way that the American left

848
00:51:20,400 --> 00:51:25,200
Speaker 1: and media views them, goes through this lens of intersectional politics.

849
00:51:26,120 --> 00:51:29,680
Speaker 1: So because Palestinians are Muslim and and brown, in the

850
00:51:29,680 --> 00:51:31,600
Speaker 1: parliace of the left right, this is other. They'll say

851
00:51:31,600 --> 00:51:36,360
Speaker 1: their Muslim, they're brown. Uh, they are victims and worthy

852
00:51:36,480 --> 00:51:41,360
Speaker 1: of greater support and uh excuse making you know, whatever

853
00:51:41,400 --> 00:51:45,279
Speaker 1: we have to do versus the Israelis. Now, anybody who

854
00:51:45,320 --> 00:51:47,320
Speaker 1: knows anything would be like, well, the Israelies are Jews,

855
00:51:47,320 --> 00:51:50,840
Speaker 1: it's the Jewish state, and goes about saying Jews have

856
00:51:50,920 --> 00:51:55,839
Speaker 1: faced more than their share of persecution throughout history and

857
00:51:56,000 --> 00:52:02,440
Speaker 1: in recent history too. Uh. But yet because Jews are

858
00:52:02,960 --> 00:52:07,719
Speaker 1: or Jews in Israel are um predominantly white, not all,

859
00:52:07,760 --> 00:52:13,600
Speaker 1: but predominantly white. And you know, they're not victims of colonialism.

860
00:52:13,600 --> 00:52:17,400
Speaker 1: In fact, in the in the left wing framing of

861
00:52:17,440 --> 00:52:20,800
Speaker 1: the Israeli Palestinian issue, Israel is a colonial outpost in

862
00:52:20,800 --> 00:52:22,960
Speaker 1: the Middle East, despite the fact that the Jews have

863
00:52:23,000 --> 00:52:27,319
Speaker 1: been in Jerusalem and and and in uh Juday and

864
00:52:27,360 --> 00:52:31,399
Speaker 1: Samaria for you know, thousands of years, they still think

865
00:52:31,400 --> 00:52:35,560
Speaker 1: of it as a colonial issue, and so there's a

866
00:52:35,719 --> 00:52:38,960
Speaker 1: kind of a white oppression of the non white world

867
00:52:39,000 --> 00:52:41,640
Speaker 1: inherent in the Israeli project. I mean this. I'm just

868
00:52:41,680 --> 00:52:44,920
Speaker 1: telling you. I studied with left wing radicals on campus

869
00:52:45,000 --> 00:52:49,280
Speaker 1: on this very issue. I specifically took seminars in Arab

870
00:52:49,360 --> 00:52:52,279
Speaker 1: Israeli conflict from people that took this, so I know

871
00:52:52,320 --> 00:52:54,640
Speaker 1: how they think. They write papers on how Israel is

872
00:52:54,640 --> 00:52:57,560
Speaker 1: an apartheid state. They want it to be divested from

873
00:52:57,560 --> 00:53:00,960
Speaker 1: the international financial system. They want Israel to be a

874
00:53:01,080 --> 00:53:04,920
Speaker 1: pariah state, and that's taught here in this country in

875
00:53:05,080 --> 00:53:10,359
Speaker 1: elite schools. Trying to get to the y behind all

876
00:53:10,360 --> 00:53:14,560
Speaker 1: of it. But they're really embarrassing themselves on this. In particular,

877
00:53:15,080 --> 00:53:21,560
Speaker 1: NICKI Haley had some uh someone, particularly a student commentary

878
00:53:21,600 --> 00:53:22,920
Speaker 1: on this. I want to I want to hear from

879
00:53:22,920 --> 00:53:26,200
Speaker 1: her for a second. Pla cliff ten. They light molotov

880
00:53:26,320 --> 00:53:30,040
Speaker 1: cocktails attached to kites on fire an attempt to fly

881
00:53:30,200 --> 00:53:34,480
Speaker 1: them into Israel to cause as much destruction as possible.

882
00:53:35,840 --> 00:53:39,239
Speaker 1: When asked yesterday why he put a swastika on his

883
00:53:39,360 --> 00:53:44,560
Speaker 1: burning kite, the terrorists responded, quote, the Jews go crazy

884
00:53:44,600 --> 00:53:47,640
Speaker 1: when you mentioned Hitler. This is what is endangering the

885
00:53:47,680 --> 00:53:52,279
Speaker 1: people of Gaza. Make no mistake, Hamas is pleased with

886
00:53:52,360 --> 00:53:56,319
Speaker 1: the results from yesterday. No country in this chamber would

887
00:53:56,320 --> 00:54:01,920
Speaker 1: act with more restraint than Israel has. Radical Islam is

888
00:54:01,920 --> 00:54:06,719
Speaker 1: a death cult. Hamas is a radical Islamic terrorist organization.

889
00:54:07,719 --> 00:54:12,319
Speaker 1: Death cults push for as many martyrs as possible to

890
00:54:12,480 --> 00:54:17,279
Speaker 1: justify more violence from their side later on. So yes,

891
00:54:17,400 --> 00:54:19,759
Speaker 1: it is in fact true when Nikki Hilly said there,

892
00:54:19,880 --> 00:54:23,360
Speaker 1: Hamas is pleased. Could not be more pleased with what

893
00:54:23,480 --> 00:54:29,520
Speaker 1: happened at that border fence between Gaza and Israel. Um,

894
00:54:29,719 --> 00:54:32,160
Speaker 1: like I said, we'll talk about intersectional politics later on

895
00:54:32,239 --> 00:54:36,160
Speaker 1: in the show that's coming up. And uh, I've got

896
00:54:36,200 --> 00:54:37,759
Speaker 1: a whole lot more for you teams to stay with me.

897
00:54:43,640 --> 00:54:46,080
Speaker 1: We put the onus squarely on Hamas here. This is

898
00:54:46,120 --> 00:54:50,239
Speaker 1: an organized, purposeful propaganda technique by a mass to try

899
00:54:50,239 --> 00:54:54,240
Speaker 1: and garner support and sympathy from media outlets and from

900
00:54:54,280 --> 00:54:56,560
Speaker 1: the rest of the global community. But when they have

901
00:54:56,640 --> 00:55:01,200
Speaker 1: a clear disdain for life by using human shields repeatedly,

902
00:55:01,239 --> 00:55:03,919
Speaker 1: as you just saw Nicki Haley testifying to the fact

903
00:55:04,000 --> 00:55:07,080
Speaker 1: that they were putting molotov cocktails on kites, and trying

904
00:55:07,080 --> 00:55:09,160
Speaker 1: to fly them over the border. This is the type

905
00:55:09,200 --> 00:55:12,120
Speaker 1: of action so that they will in fact get shot.

906
00:55:12,239 --> 00:55:14,880
Speaker 1: So it looks as though it's somehow someone else's fault

907
00:55:15,200 --> 00:55:20,759
Speaker 1: for their action. Yep, exactly what happened. It's exactly what's

908
00:55:20,800 --> 00:55:23,240
Speaker 1: going on our buddy Kenny, and Boston has some thoughts.

909
00:55:23,239 --> 00:55:27,840
Speaker 1: What's up Kenny? Hi Buck? First off, I am beholding

910
00:55:27,880 --> 00:55:30,400
Speaker 1: that Buck has not suspended my Team Buck membership, and

911
00:55:30,440 --> 00:55:33,600
Speaker 1: I take solace, my leach and your bombitable magnant entity.

912
00:55:34,040 --> 00:55:38,480
Speaker 1: But anyway, um, I was wondering why hummus uh Is

913
00:55:38,640 --> 00:55:41,719
Speaker 1: named them solved after a bunch of sherode gabonzos and

914
00:55:41,840 --> 00:55:46,000
Speaker 1: sesame seats, and I know it's hamas. Anyway, I had

915
00:55:46,000 --> 00:55:50,799
Speaker 1: a comment earlier about that taxation thing in Seattle. Yep,

916
00:55:52,280 --> 00:55:55,040
Speaker 1: and um, well, I know I don't want me to

917
00:55:55,120 --> 00:55:58,680
Speaker 1: be a dead equine or anything like that, but isn't

918
00:55:58,719 --> 00:56:00,800
Speaker 1: this just another slide way that they can put a

919
00:56:00,880 --> 00:56:05,399
Speaker 1: hidden tax on the middle class, Well, the the the

920
00:56:05,400 --> 00:56:08,520
Speaker 1: the corporations they're talking about, especially like a Starbucks or

921
00:56:08,680 --> 00:56:12,160
Speaker 1: ah Amazon, is it a perfect position to go, Okay,

922
00:56:12,320 --> 00:56:13,640
Speaker 1: you want to put that tax on us? If it

923
00:56:13,640 --> 00:56:16,200
Speaker 1: affects our BottomLine, we're just gonna pass that onto consumers.

924
00:56:16,200 --> 00:56:20,280
Speaker 1: So yeah, and the politicians know that. I mean, that's

925
00:56:20,320 --> 00:56:23,160
Speaker 1: not like they they're trying to like hide it and think, yes,

926
00:56:23,200 --> 00:56:26,080
Speaker 1: we're going after those big evil corporations, but when in fact,

927
00:56:26,120 --> 00:56:28,880
Speaker 1: really they know the money. Yeah, the big evil corporations

928
00:56:28,880 --> 00:56:30,560
Speaker 1: are in the are in the best position, Kenny, to

929
00:56:30,719 --> 00:56:34,040
Speaker 1: just socialize the cost of the taxes by passing it

930
00:56:34,080 --> 00:56:36,000
Speaker 1: on to all the rest of us. Right. I buy

931
00:56:36,000 --> 00:56:38,919
Speaker 1: stuff from Amazon all the time, so I don't am

932
00:56:38,920 --> 00:56:43,719
Speaker 1: I now going to be subsidizing Amazon's taxes in Seattle.

933
00:56:43,760 --> 00:56:45,480
Speaker 1: I mean, you know, they're a big enough company where

934
00:56:45,480 --> 00:56:47,920
Speaker 1: I probably wouldn't feel it over here. But that's how

935
00:56:47,960 --> 00:56:50,160
Speaker 1: it works. It does get passed on to the consumer.

936
00:56:50,360 --> 00:56:52,800
Speaker 1: Thanks for calling it from Boston, my friend, stay strong

937
00:56:52,880 --> 00:56:57,279
Speaker 1: up in Boston. Good to talk to you. Um Christian Jilbrand.

938
00:56:58,040 --> 00:57:00,879
Speaker 1: What is the dumbest thing she's ever said? Now? I mean,

939
00:57:00,920 --> 00:57:04,839
Speaker 1: actually the dumbest. If you stay through this, uh quick

940
00:57:04,840 --> 00:57:16,320
Speaker 1: break here, you'll find out he's back with you now.

941
00:57:16,600 --> 00:57:19,280
Speaker 1: Because when it comes to the fight for truth, the

942
00:57:19,320 --> 00:57:26,000
Speaker 1: fuck never stops. North Korea is threatening to cancel the

943
00:57:26,040 --> 00:57:33,160
Speaker 1: Trump summit. Uh. This is because of the quote provocative

944
00:57:33,200 --> 00:57:37,240
Speaker 1: military RUCKUS of joint US South Korea drills, which North

945
00:57:37,320 --> 00:57:40,720
Speaker 1: Korea is saying is our rehearsal for invasion. So you

946
00:57:40,720 --> 00:57:43,680
Speaker 1: have the June twelfth summit in Singapore, and now you

947
00:57:43,720 --> 00:57:48,439
Speaker 1: got North Korea that is making noises about our joint

948
00:57:48,480 --> 00:57:54,600
Speaker 1: military exercises with the South. UM. Look, this is not surprising. Uh.

949
00:57:54,920 --> 00:57:56,800
Speaker 1: They also the news state of North Korea started to

950
00:57:56,840 --> 00:58:00,960
Speaker 1: dismantle a nuclear test site. They're they're posturing and they're

951
00:58:00,960 --> 00:58:04,320
Speaker 1: trying to negotiate, and there this We need to get

952
00:58:04,360 --> 00:58:06,120
Speaker 1: ready for this and strap in for this. It's not

953
00:58:06,160 --> 00:58:11,640
Speaker 1: gonna be smooth sailing to some kind of obvious choir

954
00:58:11,720 --> 00:58:14,160
Speaker 1: of angels singing moment at the summit with Trump and

955
00:58:14,240 --> 00:58:16,160
Speaker 1: Kim Jong un. It's gonna be a lot of back

956
00:58:16,200 --> 00:58:20,000
Speaker 1: and forth. It is high stakes poker. Is gonna be bluffs.

957
00:58:20,000 --> 00:58:23,160
Speaker 1: There's gonna be calls. There's gonna be things that happened

958
00:58:23,160 --> 00:58:25,800
Speaker 1: that call this whole thing in a doubt, and the

959
00:58:25,800 --> 00:58:30,680
Speaker 1: eventual result may not be what we want, but we're

960
00:58:30,720 --> 00:58:33,640
Speaker 1: in the game. We're trying trying to find a better

961
00:58:33,680 --> 00:58:36,480
Speaker 1: path forward North Korea. I might have more more thoughts

962
00:58:36,480 --> 00:58:39,600
Speaker 1: on this tomorrow. I just I feel like there's updates

963
00:58:39,640 --> 00:58:41,920
Speaker 1: to this, and then there's also just the media obsession

964
00:58:41,960 --> 00:58:45,440
Speaker 1: with North Korea. Let's just talk with North Korea. Well,

965
00:58:47,120 --> 00:58:51,080
Speaker 1: this is a negotiating tactic on their part. We'll see

966
00:58:51,120 --> 00:58:53,000
Speaker 1: what they come up with. We'll see what the U

967
00:58:53,080 --> 00:58:55,360
Speaker 1: S response is. There's not really much more to it

968
00:58:55,400 --> 00:58:58,360
Speaker 1: than that that someone has not been called off. I

969
00:58:58,440 --> 00:59:00,880
Speaker 1: think right now it is unlike the summit will be

970
00:59:00,880 --> 00:59:05,040
Speaker 1: called off, but it's gonna be a bumpy road, so

971
00:59:05,520 --> 00:59:07,600
Speaker 1: maybe we'll get more in North gree tomorrow. I want

972
00:59:07,640 --> 00:59:13,320
Speaker 1: to talk about Kirsten Gillibrand, not to be confused with Kristen.

973
00:59:13,560 --> 00:59:15,840
Speaker 1: Kirstin and Christine are the toughest names to keep a

974
00:59:15,880 --> 00:59:17,840
Speaker 1: part of anything in the English language that I'm aware of.

975
00:59:19,120 --> 00:59:22,400
Speaker 1: But she was at some kind of a forum. I

976
00:59:22,560 --> 00:59:26,760
Speaker 1: don't know. I'll just so I can give you the yeah,

977
00:59:27,040 --> 00:59:29,760
Speaker 1: I'm gonna live Nashal Syndicator radio show and like over

978
00:59:29,880 --> 00:59:32,400
Speaker 1: a hundred and twenty five stations or something, and my

979
00:59:32,440 --> 00:59:36,000
Speaker 1: computer just froze. So that's that's cool. That's the thing

980
00:59:36,000 --> 00:59:39,160
Speaker 1: that happens. But I was gonna look up where she said.

981
00:59:39,200 --> 00:59:41,280
Speaker 1: That doesn't really matter. Gillibrand was at some kind of

982
00:59:41,280 --> 00:59:44,120
Speaker 1: a forum talking about some stuff, and she said this

983
00:59:44,240 --> 00:59:46,880
Speaker 1: play fifteen if we don't value women in society, and

984
00:59:46,880 --> 00:59:49,600
Speaker 1: that's just the fact, and it's not just you know,

985
00:59:49,680 --> 00:59:51,760
Speaker 1: I feel exposed because I'm cheering up because I'm not

986
00:59:51,800 --> 00:59:53,880
Speaker 1: like a man. Now, how about I'm cheering up because

987
00:59:53,920 --> 00:59:56,560
Speaker 1: I'm so angry and frustrating and my emotional intelligence is

988
00:59:56,600 --> 00:59:59,040
Speaker 1: gonna what make this company succeed. You know, if it

989
00:59:59,080 --> 01:00:01,520
Speaker 1: wasn't Lehman brother but Lehman's sisters, we might not have

990
01:00:01,640 --> 01:00:06,040
Speaker 1: had the financial collapse. I think that's one of the

991
01:00:06,080 --> 01:00:10,000
Speaker 1: dumbest things I've ever heard. If it wasn't Lehman brother

992
01:00:10,040 --> 01:00:15,560
Speaker 1: it's that Lehman's sisters. Yeah, girl power. It's like the

993
01:00:15,640 --> 01:00:18,240
Speaker 1: dumbest they ever heard. I mean it's not the dumbest,

994
01:00:18,240 --> 01:00:22,360
Speaker 1: but it's certainly in in the pantheon of stupid quotes

995
01:00:23,120 --> 01:00:27,360
Speaker 1: from US politicians. I think that's close. I think that's

996
01:00:27,400 --> 01:00:32,240
Speaker 1: up there. It wasn't Lehman Brothers but Lehman sisters. This

997
01:00:32,400 --> 01:00:37,480
Speaker 1: is a recurring theme now there is this movement to

998
01:00:37,520 --> 01:00:39,440
Speaker 1: the Democrat Party of what I think you'd have to

999
01:00:39,440 --> 01:00:44,360
Speaker 1: just call a brainless feminism. It there's no thought that

1000
01:00:44,400 --> 01:00:53,400
Speaker 1: goes into it. There's no uh, no philosophical foundation for it.

1001
01:00:53,400 --> 01:00:56,240
Speaker 1: It's just you know, yeah, like we're so oppressed and

1002
01:00:56,360 --> 01:01:02,440
Speaker 1: like the wage gap and yeah, so off angry yelling.

1003
01:01:03,160 --> 01:01:05,520
Speaker 1: I don't think that that, oh, we don't value women

1004
01:01:05,560 --> 01:01:08,120
Speaker 1: in society. That was another quote, we don't value women,

1005
01:01:08,200 --> 01:01:15,800
Speaker 1: and that we don't value women. Ah, that's a fascinating thing.

1006
01:01:16,200 --> 01:01:19,360
Speaker 1: So we don't value our our mothers, our sisters or

1007
01:01:19,440 --> 01:01:22,480
Speaker 1: wives are our our life partners. We don't value the

1008
01:01:22,520 --> 01:01:28,040
Speaker 1: women we work with. That that's there's like a level

1009
01:01:28,080 --> 01:01:32,280
Speaker 1: of stupidity that sometimes is reached. Where she was speaking

1010
01:01:32,320 --> 01:01:36,200
Speaker 1: at the Center for American Progress Ideas conference, Okay, there

1011
01:01:36,240 --> 01:01:39,080
Speaker 1: you go, but there's a there's a level of which

1012
01:01:39,120 --> 01:01:42,720
Speaker 1: you have to say to yourself, I'm I'm overwhelmed by

1013
01:01:42,720 --> 01:01:46,720
Speaker 1: the stupidity. I'm overwhelmed by, as I said, the brainless feminism.

1014
01:01:46,760 --> 01:01:48,600
Speaker 1: And that's where cure and by the way people talk

1015
01:01:48,640 --> 01:01:51,920
Speaker 1: about her as a presidential candidate, folks, Yeah, women have

1016
01:01:52,040 --> 01:01:54,200
Speaker 1: like no value in America, And I think we're like

1017
01:01:54,280 --> 01:02:00,760
Speaker 1: Lehman's sisters, really who these women have no value in America.

1018
01:02:01,040 --> 01:02:03,240
Speaker 1: Women are more valued in America than anywhere else in

1019
01:02:03,240 --> 01:02:07,360
Speaker 1: the world. Okay, start with that there's greater equality between

1020
01:02:07,360 --> 01:02:09,440
Speaker 1: the sexes here than anywhere. I don't know. People say, oh,

1021
01:02:09,440 --> 01:02:13,200
Speaker 1: but what about Sweden or something. Please all right, give

1022
01:02:13,240 --> 01:02:20,680
Speaker 1: it a rest. It's it's just amazing to see this.

1023
01:02:20,840 --> 01:02:22,960
Speaker 1: And it was like, you know, Michelle Obama about how

1024
01:02:23,040 --> 01:02:26,200
Speaker 1: you know women are you know, have to be better

1025
01:02:26,240 --> 01:02:28,360
Speaker 1: than men and everything else? Did get the same job? No,

1026
01:02:28,920 --> 01:02:31,760
Speaker 1: this is this is not you do not try to

1027
01:02:31,800 --> 01:02:34,800
Speaker 1: create a special victim class of half of the planet

1028
01:02:34,840 --> 01:02:38,520
Speaker 1: called women. You know. And I know if I started

1029
01:02:38,520 --> 01:02:41,000
Speaker 1: saying things like actually, in America we revere women, and

1030
01:02:41,120 --> 01:02:43,680
Speaker 1: you know, I feel like guys like me, a lot

1031
01:02:43,760 --> 01:02:50,680
Speaker 1: of our are drive in life is to be a

1032
01:02:50,720 --> 01:02:54,000
Speaker 1: good father, a good a good husband, a good you know,

1033
01:02:54,120 --> 01:02:58,480
Speaker 1: protector and provider, and to be worthy of the women

1034
01:02:58,600 --> 01:03:03,400
Speaker 1: in our lives. Don't value them. Be like for a

1035
01:03:03,440 --> 01:03:06,880
Speaker 1: lot of us, guys, uh, women are like a big

1036
01:03:06,880 --> 01:03:08,520
Speaker 1: part of the reason we get up every day and

1037
01:03:08,560 --> 01:03:11,040
Speaker 1: do the stuff we do, the good stuff we do.

1038
01:03:11,960 --> 01:03:14,960
Speaker 1: It's for women, the women in our lives, to be

1039
01:03:15,080 --> 01:03:20,040
Speaker 1: worthy of them. They're not valued. Chris and Jillibrand he's

1040
01:03:20,080 --> 01:03:25,760
Speaker 1: just an income poop. We'll be right back where is

1041
01:03:25,800 --> 01:03:31,360
Speaker 1: the left really wrong. I know that's a question that

1042
01:03:31,480 --> 01:03:34,000
Speaker 1: a lot of you probably are either thinking to yourself

1043
01:03:34,080 --> 01:03:37,000
Speaker 1: or maybe even shouting out a bunch of answers right away.

1044
01:03:37,400 --> 01:03:42,000
Speaker 1: But there's a big battle being waged right now, ideological

1045
01:03:42,040 --> 01:03:48,080
Speaker 1: intellectual struggle over identity politics, and not just are they

1046
01:03:48,120 --> 01:03:50,680
Speaker 1: a good idea? Are they a moral idea? Are they ethical?

1047
01:03:51,240 --> 01:03:55,400
Speaker 1: Are they the right thing? From a philosophical perspective? Are

1048
01:03:55,400 --> 01:03:57,960
Speaker 1: they the right thing? Also? Then from a policy perspective.

1049
01:03:58,720 --> 01:04:01,680
Speaker 1: Right is treating people part of a group. This is

1050
01:04:01,680 --> 01:04:05,920
Speaker 1: at the heart of identity politics based on a racial

1051
01:04:06,680 --> 01:04:12,960
Speaker 1: and sexual orientation, and you know some other categories of

1052
01:04:12,960 --> 01:04:16,800
Speaker 1: of different of a hierarchical nature. Right, some people are

1053
01:04:16,920 --> 01:04:20,000
Speaker 1: this category. You know you have, Uh, Black people go

1054
01:04:20,080 --> 01:04:24,120
Speaker 1: into interse sectionality in one place. Uh, the LGBT community

1055
01:04:24,160 --> 01:04:27,120
Speaker 1: goes into intersectional politics in another place. And you know,

1056
01:04:27,720 --> 01:04:30,800
Speaker 1: Latinos and Asians and and and everyone is treated like

1057
01:04:31,480 --> 01:04:34,280
Speaker 1: they are a part of some group that's determined by

1058
01:04:34,880 --> 01:04:38,280
Speaker 1: their their birth and their um, their skin color or

1059
01:04:38,320 --> 01:04:41,800
Speaker 1: their ethnicity, right, all these different things. Is it just

1060
01:04:41,920 --> 01:04:45,640
Speaker 1: wrong on its face to make decisions about people based

1061
01:04:45,720 --> 01:04:48,400
Speaker 1: upon that and to treat people as though there are

1062
01:04:49,000 --> 01:04:55,840
Speaker 1: immutable characteristics that come along with that identity. Right, people

1063
01:04:55,880 --> 01:04:58,480
Speaker 1: think of, well, isn't that racist, Buck Well, certainly it

1064
01:04:58,640 --> 01:05:01,320
Speaker 1: is when you're talking about negative characteristics, But what about

1065
01:05:01,320 --> 01:05:05,520
Speaker 1: when you're imputing positive characteristics, or what about when you say,

1066
01:05:05,560 --> 01:05:07,840
Speaker 1: because you are part of this larger group, you should

1067
01:05:07,880 --> 01:05:10,280
Speaker 1: have certain benefits. Right now, we're getting into something of

1068
01:05:10,320 --> 01:05:15,640
Speaker 1: the affirmative action discussion or the diversity discussion, which is

1069
01:05:15,640 --> 01:05:19,200
Speaker 1: even broader than just affirmative action. But there are some

1070
01:05:19,240 --> 01:05:24,080
Speaker 1: places where this doesn't really seem to hold sway. Professional sports,

1071
01:05:24,120 --> 01:05:28,479
Speaker 1: for example, is an interesting how we never really hear

1072
01:05:28,520 --> 01:05:34,760
Speaker 1: about the need to diversify professional sports teams. They just

1073
01:05:35,280 --> 01:05:39,080
Speaker 1: are what they are because there's an understanding that whoever

1074
01:05:39,320 --> 01:05:42,680
Speaker 1: is the most elite in that sport, and therefore whoever

1075
01:05:43,240 --> 01:05:46,840
Speaker 1: can compete at the highest level and draw the most

1076
01:05:46,960 --> 01:05:51,120
Speaker 1: viewership on TV and at at events is the person

1077
01:05:51,200 --> 01:05:56,560
Speaker 1: that should be yeah, elevated. We understand that with sports,

1078
01:05:57,400 --> 01:06:00,439
Speaker 1: and that's why you don't have calls for diversity at

1079
01:06:00,480 --> 01:06:03,560
Speaker 1: sporting events whatever, you know, whether we're talking ice hockey

1080
01:06:03,640 --> 01:06:06,800
Speaker 1: or basketball or you name it, it is what it is.

1081
01:06:06,840 --> 01:06:09,760
Speaker 1: We all kind of accept that, which is interesting and

1082
01:06:09,840 --> 01:06:14,400
Speaker 1: unique about the Sports World. One other place where until

1083
01:06:14,600 --> 01:06:17,200
Speaker 1: recently I think you could have made the same claim

1084
01:06:18,040 --> 01:06:22,680
Speaker 1: is in medicine, and the science is more broadly sometimes

1085
01:06:22,680 --> 01:06:28,760
Speaker 1: it's referred to as STEM, the STEM profession science, Technology, engineering,

1086
01:06:29,160 --> 01:06:34,440
Speaker 1: and math. But there is a blockbuster of a piece

1087
01:06:34,600 --> 01:06:37,360
Speaker 1: out from Heather McDonald, who we've had many times before

1088
01:06:37,560 --> 01:06:41,480
Speaker 1: on the show, and it's sent in City Journal, and

1089
01:06:41,560 --> 01:06:46,000
Speaker 1: it's called how identity politics is harming the sciences? And

1090
01:06:46,160 --> 01:06:48,840
Speaker 1: what she's talking about is, look, there is an effort

1091
01:06:48,920 --> 01:06:55,080
Speaker 1: underway that has become really pervasive to just straight up

1092
01:06:55,760 --> 01:07:03,360
Speaker 1: change the qualifications full or high level math, and you

1093
01:07:03,360 --> 01:07:07,680
Speaker 1: know for high level math graduate school or engineering or medicine.

1094
01:07:08,320 --> 01:07:14,120
Speaker 1: Medical schools, medical schools now are very much concerned with

1095
01:07:15,000 --> 01:07:19,200
Speaker 1: diversity in a way that you're gonna start to see

1096
01:07:19,240 --> 01:07:23,520
Speaker 1: some pushback on it, because, hold on a second, do

1097
01:07:23,640 --> 01:07:25,920
Speaker 1: we really want to play games with who get to

1098
01:07:25,920 --> 01:07:29,480
Speaker 1: be the next generation of brain surgeons? Don't we just

1099
01:07:29,600 --> 01:07:31,600
Speaker 1: all want the best brain surgeon? And this is what

1100
01:07:31,640 --> 01:07:34,439
Speaker 1: I mean by comparing it to professional sports. I think

1101
01:07:34,480 --> 01:07:38,560
Speaker 1: you see where I'm going with this one. I don't

1102
01:07:38,600 --> 01:07:42,560
Speaker 1: think that any rational human being would say to himself

1103
01:07:42,640 --> 01:07:46,720
Speaker 1: or herself, you know what this doctor who went to

1104
01:07:46,920 --> 01:07:49,800
Speaker 1: Harvard and Harvard and you know, all the best schools

1105
01:07:49,800 --> 01:07:52,600
Speaker 1: for medical school. But I don't like his or her

1106
01:07:54,320 --> 01:07:57,600
Speaker 1: uh ethnic background, so I wouldn't want that. No, you

1107
01:07:57,720 --> 01:08:00,360
Speaker 1: just want the best doctor, period. You don't care what color,

1108
01:08:00,480 --> 01:08:03,160
Speaker 1: you don't care what gender, you don't care what gender identity.

1109
01:08:03,200 --> 01:08:07,080
Speaker 1: You just want the best doctor. But how can you

1110
01:08:07,120 --> 01:08:11,160
Speaker 1: think you're getting the best doctor when medical schools are

1111
01:08:11,400 --> 01:08:16,200
Speaker 1: actively changing the criterion of who they accept, and then

1112
01:08:16,240 --> 01:08:19,839
Speaker 1: at higher levels within the medical community who gets certain

1113
01:08:19,880 --> 01:08:23,920
Speaker 1: fellowships and research positions, and it's elevated within the hospital

1114
01:08:24,000 --> 01:08:28,559
Speaker 1: hierarchy too. I'm sorry, folks, but I don't care what

1115
01:08:28,600 --> 01:08:31,679
Speaker 1: the social justice warriors say. I don't want somebody getting

1116
01:08:31,680 --> 01:08:34,880
Speaker 1: pushed along and pushed along who's gonna be operating on,

1117
01:08:35,000 --> 01:08:38,360
Speaker 1: you know, my great great grand Pappy's heart. I don't

1118
01:08:38,360 --> 01:08:42,040
Speaker 1: want that, although that would be quite a surgery, because

1119
01:08:42,080 --> 01:08:43,720
Speaker 1: you know, that's a few generations back. But you know

1120
01:08:43,720 --> 01:08:46,680
Speaker 1: what I'm saying, right, I don't want my my imaginary

1121
01:08:46,760 --> 01:08:51,280
Speaker 1: on Ethel to get somebody to come in there who,

1122
01:08:51,360 --> 01:08:55,200
Speaker 1: for the purposes of making liberals feel good, is being

1123
01:08:55,240 --> 01:08:57,840
Speaker 1: held up as as the best in the field of

1124
01:08:57,920 --> 01:09:00,680
Speaker 1: and by the way it is fiercely competitive to just

1125
01:09:00,840 --> 01:09:05,000
Speaker 1: get into medical school. But as Heather bricking autod rights

1126
01:09:05,000 --> 01:09:07,840
Speaker 1: in this piece on identity politics and the sciences, they

1127
01:09:07,880 --> 01:09:10,680
Speaker 1: are just straight up rigging the system. And this is

1128
01:09:10,680 --> 01:09:14,479
Speaker 1: going to have very negative ramifications and the left. This

1129
01:09:14,520 --> 01:09:18,280
Speaker 1: is where they're just wrong. They're just wrong because what

1130
01:09:18,320 --> 01:09:22,599
Speaker 1: they're doing is creating an objective set of facts that

1131
01:09:23,240 --> 01:09:28,880
Speaker 1: essentially non white males and non Asian males. By the way,

1132
01:09:29,000 --> 01:09:31,160
Speaker 1: so Asian males and white males go in this category

1133
01:09:31,200 --> 01:09:33,599
Speaker 1: of we've got too many of you, But everybody else

1134
01:09:33,640 --> 01:09:39,320
Speaker 1: in the medical field going forward could reasonably be suspect

1135
01:09:39,400 --> 01:09:42,960
Speaker 1: in the level of their skill because they are straight

1136
01:09:43,040 --> 01:09:45,759
Speaker 1: up across the board at the best to the worst

1137
01:09:45,760 --> 01:09:50,920
Speaker 1: medical schools changing the way that they assess the skills

1138
01:09:51,000 --> 01:09:55,360
Speaker 1: of people who are non white, non Asian males. So

1139
01:09:55,479 --> 01:09:59,240
Speaker 1: all female doctors, that's right, it's all women now, because

1140
01:09:59,240 --> 01:10:03,719
Speaker 1: they're pushing really hard to get women into. Uh, the

1141
01:10:03,720 --> 01:10:06,000
Speaker 1: the higher fields of mathematics as well as the higher

1142
01:10:06,040 --> 01:10:08,240
Speaker 1: fields of medicine. Medicine will focus on that. This, by

1143
01:10:08,240 --> 01:10:10,920
Speaker 1: the way, also applies to engineering. You know, the people

1144
01:10:10,960 --> 01:10:13,160
Speaker 1: that are involved in like making sure that a bridge

1145
01:10:13,160 --> 01:10:15,639
Speaker 1: can hold the weight. That kind of stuff, um higher

1146
01:10:15,720 --> 01:10:19,479
Speaker 1: level mathematics, rocket scientists and physicists and people that do

1147
01:10:19,560 --> 01:10:23,960
Speaker 1: all that. But with medicine, it really hits home because

1148
01:10:24,320 --> 01:10:25,800
Speaker 1: I know the one thing we feel like in this

1149
01:10:25,840 --> 01:10:27,920
Speaker 1: country we have going for us is it's really hard

1150
01:10:27,960 --> 01:10:30,479
Speaker 1: to be a doctor. Doctors are well paid. We want

1151
01:10:30,520 --> 01:10:33,479
Speaker 1: the best of the best. I do not want. And

1152
01:10:33,520 --> 01:10:36,080
Speaker 1: I remember Ward Connolly, by the way, African American who

1153
01:10:36,160 --> 01:10:38,479
Speaker 1: was very prominent in getting rid of racial preferences in

1154
01:10:38,479 --> 01:10:42,640
Speaker 1: the California school system. I remember him saying that, And

1155
01:10:42,680 --> 01:10:45,759
Speaker 1: this is back when I was in college. I want

1156
01:10:46,000 --> 01:10:48,320
Speaker 1: highly paid and the best when it comes to a surgeon,

1157
01:10:48,360 --> 01:10:51,679
Speaker 1: I don't care what the demographic breakdown of his medical

1158
01:10:51,720 --> 01:10:53,760
Speaker 1: class was. I don't care if it feels like this

1159
01:10:53,800 --> 01:10:55,800
Speaker 1: is nice for society. I want the best. I feel

1160
01:10:55,800 --> 01:10:57,639
Speaker 1: the same way you and I feel the same way.

1161
01:10:57,640 --> 01:11:00,360
Speaker 1: On this team, we want the best. Pe cool. But

1162
01:11:00,760 --> 01:11:03,240
Speaker 1: when you start to look under the hood and Heather

1163
01:11:03,320 --> 01:11:09,120
Speaker 1: McDonald has done it, they are really uh playing games here.

1164
01:11:09,160 --> 01:11:13,040
Speaker 1: I mean, this is the worst kind of do good

1165
01:11:13,120 --> 01:11:17,480
Speaker 1: or virtue signaling social engineering, because the long term ramifications

1166
01:11:17,640 --> 01:11:19,240
Speaker 1: are gonna be one. You've got people that are just

1167
01:11:19,280 --> 01:11:21,599
Speaker 1: not qualified for the jobs they have and they literally

1168
01:11:21,640 --> 01:11:24,880
Speaker 1: hold people's lives in their hands. And two people are

1169
01:11:24,880 --> 01:11:26,840
Speaker 1: gonna start to change their perceptions of this. And this

1170
01:11:26,880 --> 01:11:28,920
Speaker 1: is what I mean by the left is wrong, because

1171
01:11:28,920 --> 01:11:30,680
Speaker 1: people are gonna say, hold on a second, is this

1172
01:11:31,360 --> 01:11:35,400
Speaker 1: you know person who's uh, you know who is this

1173
01:11:35,520 --> 01:11:43,880
Speaker 1: doctor who is a you know, transgender Latin American? Uh

1174
01:11:43,920 --> 01:11:48,160
Speaker 1: and and disabled? Is this doctor the best that's about

1175
01:11:48,160 --> 01:11:50,320
Speaker 1: to come into the operating room? Or is this doctor

1176
01:11:50,360 --> 01:11:53,479
Speaker 1: somebody that was being helped along the whole way because

1177
01:11:53,600 --> 01:11:56,400
Speaker 1: of the identity politics involved here? And the left will

1178
01:11:56,439 --> 01:11:59,960
Speaker 1: just say you're racist or you're you're bigoted for saying that. Meanwhile,

1179
01:12:00,400 --> 01:12:04,760
Speaker 1: it is just a reflection of the reality they are creating.

1180
01:12:06,200 --> 01:12:09,519
Speaker 1: Here's what Heather rights in this piece quote applicants and

1181
01:12:09,640 --> 01:12:13,400
Speaker 1: uh or this is about admissions into medical schools that

1182
01:12:13,439 --> 01:12:17,240
Speaker 1: they will employ holistic review in order to engineer a

1183
01:12:17,280 --> 01:12:21,240
Speaker 1: diverse class. Quote. The result is a vast gap in

1184
01:12:21,439 --> 01:12:28,160
Speaker 1: entering qualifications. From twenty sixteen, medical schools nationally admitted fifty

1185
01:12:28,320 --> 01:12:31,840
Speaker 1: seven percent of black applicants with a low m cat

1186
01:12:31,920 --> 01:12:34,920
Speaker 1: of twenty four to twenty six, but only eight percent

1187
01:12:34,960 --> 01:12:38,360
Speaker 1: of whites and six percent of Asians with those same scores.

1188
01:12:38,800 --> 01:12:44,880
Speaker 1: Individual schools have larger disparities. This achievement gap does not

1189
01:12:45,400 --> 01:12:51,320
Speaker 1: close over the course of medical school, but the underrepresented

1190
01:12:51,400 --> 01:12:54,320
Speaker 1: minority students you are, m students who do complete the

1191
01:12:54,360 --> 01:13:00,160
Speaker 1: medical training will be fanatically sought after anyway. UH think

1192
01:13:00,200 --> 01:13:02,240
Speaker 1: to the medical school's diversity woes is the fact that

1193
01:13:02,280 --> 01:13:07,679
Speaker 1: the number of male, underqualified, underrepresented part of me under

1194
01:13:07,920 --> 01:13:13,439
Speaker 1: represented minority student applicants has been declining in recent years,

1195
01:13:14,400 --> 01:13:20,200
Speaker 1: making it even well end quote there. So you know

1196
01:13:20,240 --> 01:13:23,960
Speaker 1: how think about this. They're they're changing the you know

1197
01:13:24,240 --> 01:13:27,040
Speaker 1: you're a doctor now, they're changing the the m CAT

1198
01:13:27,120 --> 01:13:32,080
Speaker 1: scores of people that get to be doctors based on

1199
01:13:32,120 --> 01:13:34,360
Speaker 1: their ethnicity because they think that that's making the world

1200
01:13:34,400 --> 01:13:36,559
Speaker 1: a better place. I think that that's making the world

1201
01:13:36,560 --> 01:13:40,800
Speaker 1: actually a way worse place for all the reasons that

1202
01:13:40,840 --> 01:13:43,360
Speaker 1: I'm that I'm stating and telling you about. UM, But

1203
01:13:43,600 --> 01:13:46,040
Speaker 1: I want to go on a little more into some

1204
01:13:46,200 --> 01:13:49,240
Speaker 1: of what what Heather has to say here. UM. She

1205
01:13:49,240 --> 01:13:51,080
Speaker 1: she makes some really good cases. And it's more than

1206
01:13:51,200 --> 01:13:56,520
Speaker 1: just uh, it's more than just the idea of admissions.

1207
01:13:56,880 --> 01:14:01,720
Speaker 1: It's also in the coursework. UM, they're now teaching scientists

1208
01:14:02,640 --> 01:14:05,400
Speaker 1: to be inclusive. Here, here's what she writes. There's a

1209
01:14:05,400 --> 01:14:09,360
Speaker 1: course that maintains instead that all students are scientifically brilliant.

1210
01:14:09,880 --> 01:14:13,799
Speaker 1: Science is a practice of collective sense making that calls

1211
01:14:13,840 --> 01:14:18,640
Speaker 1: forth inclusive ways of being brilliant. Students In this inclusive

1212
01:14:19,120 --> 01:14:24,360
Speaker 1: chemistry one a coursework uh in groups, arranging data cards

1213
01:14:24,400 --> 01:14:27,400
Speaker 1: and the proper sequence represent blah blah. Let's give that

1214
01:14:27,439 --> 01:14:30,599
Speaker 1: for a second. Chemical terms of art are avoided wherever

1215
01:14:30,720 --> 01:14:36,680
Speaker 1: did wherever possible to accommodate different students academic backgrounds. This

1216
01:14:36,840 --> 01:14:41,120
Speaker 1: the instructors hold teams accountable to group thinking. A team

1217
01:14:41,360 --> 01:14:46,160
Speaker 1: can't question and instructor unless it is collectively arrived at

1218
01:14:46,160 --> 01:14:49,960
Speaker 1: the question and poses it in we language, folks, this

1219
01:14:50,040 --> 01:14:54,519
Speaker 1: is like, this is Marxist medicine. That's what this is.

1220
01:14:54,560 --> 01:14:57,000
Speaker 1: That's what's going on here. Look, I want to get

1221
01:14:57,000 --> 01:14:59,320
Speaker 1: more into this, so stay with me. We're gonna talk

1222
01:14:59,320 --> 01:15:01,760
Speaker 1: more about ident any politics and the medical profession. I

1223
01:15:01,800 --> 01:15:03,599
Speaker 1: think this is the biggest story in the country that

1224
01:15:03,640 --> 01:15:06,800
Speaker 1: no one's talking about right now. I really do. Uh.

1225
01:15:07,080 --> 01:15:11,320
Speaker 1: How do how do they then teach the hard sciences

1226
01:15:11,360 --> 01:15:12,760
Speaker 1: and how do they grade it? Oh? That's right, they

1227
01:15:12,760 --> 01:15:16,200
Speaker 1: start changing it based upon what they think the ethnic

1228
01:15:16,240 --> 01:15:18,639
Speaker 1: composition of some of these incoming classes should be. I'll

1229
01:15:18,680 --> 01:15:21,680
Speaker 1: finish this up team on the other side. Uh in

1230
01:15:21,760 --> 01:15:25,120
Speaker 1: just a moment. Stay with me. I absolutely love dogs,

1231
01:15:25,240 --> 01:15:29,479
Speaker 1: all kinds, all different breeds, shapes, sizes, but one thing

1232
01:15:29,520 --> 01:15:32,080
Speaker 1: that all dogs have in common. They can dig. And

1233
01:15:32,120 --> 01:15:34,120
Speaker 1: if you've left your dog at home and you want

1234
01:15:34,160 --> 01:15:35,519
Speaker 1: to let him out in the yard at the end

1235
01:15:35,520 --> 01:15:38,599
Speaker 1: of the day, uh, guess what, they can start digging

1236
01:15:39,040 --> 01:15:42,000
Speaker 1: under your fence. And you might have tried a couple

1237
01:15:42,040 --> 01:15:44,080
Speaker 1: of different things to stop them from doing so. But

1238
01:15:44,160 --> 01:15:47,680
Speaker 1: you know what, I've got the answer for you, dig Defense.

1239
01:15:48,080 --> 01:15:51,160
Speaker 1: Dig Defense takes care of the problem of pets being

1240
01:15:51,200 --> 01:15:54,760
Speaker 1: able to dig out under the fence or predators trying

1241
01:15:54,800 --> 01:15:57,680
Speaker 1: to get into your enclosed yard, your fenced in the

1242
01:15:57,760 --> 01:16:00,320
Speaker 1: area by making it impossible to get on are there.

1243
01:16:00,360 --> 01:16:02,680
Speaker 1: It's easy to install with a hammer and a pair

1244
01:16:02,720 --> 01:16:04,840
Speaker 1: of gloves, and it comes in a bunch of different

1245
01:16:04,880 --> 01:16:07,960
Speaker 1: models and sizes to fit your needs exactly. So go

1246
01:16:08,160 --> 01:16:13,160
Speaker 1: check out dig Defense now available online at Loews, Menards,

1247
01:16:13,400 --> 01:16:16,839
Speaker 1: Wayfair and Stop the dig dot Com. Check out their website.

1248
01:16:16,960 --> 01:16:20,080
Speaker 1: Dig Defense is your solution for pets digging under the fence,

1249
01:16:20,240 --> 01:16:24,280
Speaker 1: go to stop the dig dot com. Now, welcome to

1250
01:16:24,320 --> 01:16:26,559
Speaker 1: our three team. Great to have you here. So I

1251
01:16:26,560 --> 01:16:30,000
Speaker 1: want to continue about identity politics and the sciences because

1252
01:16:30,040 --> 01:16:34,479
Speaker 1: again this is this ties into so much of what

1253
01:16:34,800 --> 01:16:41,000
Speaker 1: is animating intellectual conservatism right now. People talk about the uh,

1254
01:16:41,000 --> 01:16:47,519
Speaker 1: the the the conservatism that's gaining followers online and you

1255
01:16:47,560 --> 01:16:49,200
Speaker 1: see some of these names out there are people that

1256
01:16:49,240 --> 01:16:52,240
Speaker 1: are making the you know, the what is the intellectual

1257
01:16:52,280 --> 01:16:53,960
Speaker 1: dark web. I'm trying to think of what they call it.

1258
01:16:55,360 --> 01:16:58,000
Speaker 1: But this is where you see that the left just

1259
01:16:58,040 --> 01:17:00,839
Speaker 1: has no answers. You're all, they have our accusation and anger,

1260
01:17:01,240 --> 01:17:06,080
Speaker 1: and they can't deal with the substance because what are

1261
01:17:06,080 --> 01:17:09,719
Speaker 1: we to say about not just changing the way. Remember

1262
01:17:09,760 --> 01:17:11,040
Speaker 1: there's a couple of things going here. One of them

1263
01:17:11,040 --> 01:17:16,559
Speaker 1: is they're changing how we gauge merit, right that so

1264
01:17:16,680 --> 01:17:19,320
Speaker 1: so that right now eight and look it's it's male

1265
01:17:19,400 --> 01:17:24,200
Speaker 1: female too, folks. So this goes beyond just uh, you know,

1266
01:17:24,680 --> 01:17:29,839
Speaker 1: racial and ethnic identity politics. This is also an issue

1267
01:17:30,160 --> 01:17:36,120
Speaker 1: of male female's just gender politics, if you will. But

1268
01:17:36,160 --> 01:17:38,639
Speaker 1: what ends up happening is that these schools are run

1269
01:17:38,640 --> 01:17:41,679
Speaker 1: by these deans, these and diversity educators and all these

1270
01:17:41,720 --> 01:17:45,040
Speaker 1: different all these different people who are making determinations, by

1271
01:17:45,080 --> 01:17:48,040
Speaker 1: the way, determinations that have a real effect on the

1272
01:17:48,160 --> 01:17:50,320
Speaker 1: lives of the young people who, in the case of

1273
01:17:50,400 --> 01:17:54,639
Speaker 1: medical school, are taking out quarter of a million, half

1274
01:17:54,640 --> 01:17:57,600
Speaker 1: a million dollars of loans if they're really gonna go

1275
01:17:57,600 --> 01:18:00,519
Speaker 1: all the way through. So it's a huge, huge deal

1276
01:18:01,080 --> 01:18:03,000
Speaker 1: where you go to school. And I have friends who

1277
01:18:03,000 --> 01:18:05,000
Speaker 1: I friends who were very smart who didn't get into

1278
01:18:05,040 --> 01:18:10,679
Speaker 1: medical school. So these are life changing decisions that these committees,

1279
01:18:10,720 --> 01:18:12,639
Speaker 1: these schools get to have. But not only are they

1280
01:18:12,720 --> 01:18:16,400
Speaker 1: changing the way they gauge merit and with admissions committee,

1281
01:18:16,439 --> 01:18:19,800
Speaker 1: they also change the way they're teaching science. As I said,

1282
01:18:19,840 --> 01:18:23,040
Speaker 1: it is Marxist medicine. Now you've got to sit there

1283
01:18:23,040 --> 01:18:25,559
Speaker 1: and before you can ask the professor question, you have

1284
01:18:25,600 --> 01:18:28,439
Speaker 1: to get the agreement of your group to ask the question.

1285
01:18:29,160 --> 01:18:34,000
Speaker 1: I mean, this is the collectivization of of day to

1286
01:18:34,120 --> 01:18:40,000
Speaker 1: day class work, right, This is collectivizing the individual's ability

1287
01:18:40,120 --> 01:18:43,800
Speaker 1: to think for himself or herself. I mean, think about

1288
01:18:43,840 --> 01:18:46,519
Speaker 1: the message that this is setting. I mean, they've done

1289
01:18:46,520 --> 01:18:48,360
Speaker 1: this already in law. This is what I'm trying that

1290
01:18:48,520 --> 01:18:51,839
Speaker 1: people say to mean Buck, why why is the intelligence

1291
01:18:51,880 --> 01:18:54,360
Speaker 1: community so left wing, and I say to them, well,

1292
01:18:54,400 --> 01:18:56,080
Speaker 1: there's a lot of conservatives in it, but there it

1293
01:18:56,479 --> 01:18:59,160
Speaker 1: is at the high level very left wing. And it's

1294
01:18:59,200 --> 01:19:03,360
Speaker 1: because people that study international relations and foreign policy and

1295
01:19:03,360 --> 01:19:08,679
Speaker 1: political science are overwhelmingly going through these liberal indoctrination centers.

1296
01:19:09,400 --> 01:19:12,960
Speaker 1: Same thing is true of law schools now. I mean

1297
01:19:13,040 --> 01:19:15,880
Speaker 1: law schools have all turned a hard left, and now

1298
01:19:15,960 --> 01:19:19,000
Speaker 1: we're seeing it in medical schools, which means that your

1299
01:19:19,120 --> 01:19:23,479
Speaker 1: doctor ten years from now is gonna be a Bernie

1300
01:19:23,560 --> 01:19:28,160
Speaker 1: bro who probably wasn't so slick when it comes to

1301
01:19:28,200 --> 01:19:31,960
Speaker 1: getting into medical school depending on what category, or maybe

1302
01:19:32,000 --> 01:19:34,759
Speaker 1: it's a Bernie Ciss, you know, depending on what category

1303
01:19:34,800 --> 01:19:38,240
Speaker 1: here she fell into in the in this whole application process,

1304
01:19:38,280 --> 01:19:40,639
Speaker 1: but also the way they're learning, the way they're teaching.

1305
01:19:40,680 --> 01:19:43,200
Speaker 1: Remember this is in this article. As you can tell,

1306
01:19:43,200 --> 01:19:44,519
Speaker 1: I was up late and last start reading this and

1307
01:19:44,560 --> 01:19:48,599
Speaker 1: I was just wow, this article is just crazy stuff

1308
01:19:48,680 --> 01:19:51,640
Speaker 1: going on here. You know, hat tip Heather McDonald for

1309
01:19:51,760 --> 01:19:54,439
Speaker 1: what she wrote in City Journal, But you know, I

1310
01:19:54,439 --> 01:19:56,320
Speaker 1: want to give you some more of the details of

1311
01:19:56,320 --> 01:20:01,879
Speaker 1: how they're teaching in these actual classes. Um. For example,

1312
01:20:01,960 --> 01:20:05,040
Speaker 1: she she touches on well, you know, she touches on

1313
01:20:05,120 --> 01:20:09,439
Speaker 1: how all male research teams are mocked. And this is

1314
01:20:09,479 --> 01:20:13,519
Speaker 1: now just in general with STEM industry leaders, right, So

1315
01:20:13,560 --> 01:20:16,439
Speaker 1: this is in addition to the medical community which has

1316
01:20:16,479 --> 01:20:18,879
Speaker 1: this going on. This is what's happening at the biggest

1317
01:20:18,920 --> 01:20:22,479
Speaker 1: tech companies with science, technology, and math quote. STEM industry

1318
01:20:22,560 --> 01:20:26,600
Speaker 1: leaders are fully on board the diversity juggernaut, having absorbed

1319
01:20:26,640 --> 01:20:32,440
Speaker 1: academic identity politics. The giant Silicon Valley companies offer gender

1320
01:20:32,479 --> 01:20:37,320
Speaker 1: and race exclusive mentoring programs and give special consideration to

1321
01:20:37,520 --> 01:20:42,160
Speaker 1: females and underrepresented minorities in hiring and promotions. Managers go

1322
01:20:42,240 --> 01:20:46,840
Speaker 1: through the same costly, implicit biased training as faculty committees.

1323
01:20:47,560 --> 01:20:52,479
Speaker 1: In August, Google fired computer engineer James Daymore for questioning

1324
01:20:52,520 --> 01:20:57,080
Speaker 1: the premises of Google's diversity training. The discrimination lawsuit he

1325
01:20:57,120 --> 01:21:01,600
Speaker 1: subsequently filed against Google reveals a work place culture infused

1326
01:21:01,680 --> 01:21:06,320
Speaker 1: with academic victimology. Employees denounced the advocacy of a gender

1327
01:21:06,320 --> 01:21:11,479
Speaker 1: and race blind policy as uh, sorry, I cut off.

1328
01:21:11,520 --> 01:21:13,000
Speaker 1: I cut off my own quote there, so I don't

1329
01:21:13,040 --> 01:21:16,120
Speaker 1: know what it says. I'm assuming as bad all male

1330
01:21:16,200 --> 01:21:20,000
Speaker 1: research teams are mocked. Employees self righteously offer to protect

1331
01:21:20,040 --> 01:21:26,160
Speaker 1: Google's oppressed females and underrepresented minorities from ignorant conservative opinion.

1332
01:21:27,080 --> 01:21:29,200
Speaker 1: I mean, this stuff is and so so, this stuff

1333
01:21:29,280 --> 01:21:31,840
Speaker 1: is now at the top tech companies, it's at the

1334
01:21:31,880 --> 01:21:34,559
Speaker 1: top universities, It's all over the place. I mean, this

1335
01:21:35,520 --> 01:21:43,040
Speaker 1: virus of identity politics and social justice, the social justice

1336
01:21:43,880 --> 01:21:49,080
Speaker 1: ification of class work in science, math, medicine, and the

1337
01:21:49,120 --> 01:21:53,840
Speaker 1: professional tracks that it puts people on is well underway.

1338
01:21:54,040 --> 01:21:56,640
Speaker 1: And you know, this is one of the reasons I

1339
01:21:56,760 --> 01:22:00,240
Speaker 1: keep talking about the left. They're just wrong here. They

1340
01:22:00,240 --> 01:22:02,800
Speaker 1: can talk about it as much as they want, but

1341
01:22:02,840 --> 01:22:07,800
Speaker 1: it's just wrong. And then Heather really gets into well,

1342
01:22:07,840 --> 01:22:09,880
Speaker 1: I'll hold off on that part of her second She writes,

1343
01:22:10,439 --> 01:22:15,719
Speaker 1: underrepresentative minorities are encouraged to apply, indeed beg to apply

1344
01:22:16,400 --> 01:22:21,000
Speaker 1: to medical school and postgraduate medical training programs. Everyone at

1345
01:22:21,040 --> 01:22:24,120
Speaker 1: this level is trying incredibly hard to be fair, generous

1346
01:22:24,160 --> 01:22:27,559
Speaker 1: for giving thoughtful, kind and encouraging to these applicants. But

1347
01:22:27,640 --> 01:22:31,280
Speaker 1: if the pool of candidates is actually declining, no amount

1348
01:22:31,280 --> 01:22:35,040
Speaker 1: of effort will achieve diversity. It's one thing to do

1349
01:22:35,120 --> 01:22:37,639
Speaker 1: poorly on the MCAT, it's another to not even bother

1350
01:22:37,800 --> 01:22:40,840
Speaker 1: taking it. The latter is now the bigger problem, because

1351
01:22:40,840 --> 01:22:43,479
Speaker 1: the academy has already relaxed its standards and come up

1352
01:22:43,479 --> 01:22:45,760
Speaker 1: with all kinds of ways to explain away they need

1353
01:22:45,800 --> 01:22:49,640
Speaker 1: to do well on these tests. It's what she's saying is,

1354
01:22:50,040 --> 01:22:55,519
Speaker 1: not only has the diversity craze, the diversity mania really

1355
01:22:55,560 --> 01:22:59,160
Speaker 1: set in and all these institutions, but they have changed

1356
01:22:59,200 --> 01:23:01,600
Speaker 1: the standards so much that now their biggest problem is

1357
01:23:01,640 --> 01:23:05,720
Speaker 1: they literally do not have the applicant pool that they

1358
01:23:05,720 --> 01:23:08,160
Speaker 1: think they need for diversity. So think about this. If

1359
01:23:08,160 --> 01:23:11,600
Speaker 1: you're a white or Asian male and you're applying to

1360
01:23:11,760 --> 01:23:16,120
Speaker 1: medical school, you are very unlikely, you know, unless you

1361
01:23:16,240 --> 01:23:18,479
Speaker 1: have phenomenal m cats and grades something, you're very unlikely

1362
01:23:18,520 --> 01:23:21,400
Speaker 1: to get into a top medical school just by the numbers.

1363
01:23:21,439 --> 01:23:24,040
Speaker 1: But at some of these medical schools, they're so desperate

1364
01:23:24,120 --> 01:23:28,320
Speaker 1: for underrepresentative minorities and yes, females in the medical profession

1365
01:23:29,120 --> 01:23:32,559
Speaker 1: that they are they don't know what to do because

1366
01:23:32,560 --> 01:23:34,479
Speaker 1: they don't even have the applicants. So now they're going

1367
01:23:34,560 --> 01:23:37,760
Speaker 1: they're doing outreach. So think about this. Imagine if you

1368
01:23:37,800 --> 01:23:41,640
Speaker 1: know you're you're some son of you know, Filipino immigrants,

1369
01:23:41,640 --> 01:23:43,960
Speaker 1: and you apply to Harvard Medical School, you don't get in.

1370
01:23:43,960 --> 01:23:46,120
Speaker 1: In fact, you don't get into any medical school despite

1371
01:23:46,160 --> 01:23:49,960
Speaker 1: having pretty solid m cats. Meanwhile, those same m cats,

1372
01:23:49,960 --> 01:23:51,479
Speaker 1: by the way, the admission tests, it's like the S

1373
01:23:51,520 --> 01:23:55,840
Speaker 1: A T for medical school. Those same schools are doing

1374
01:23:55,960 --> 01:24:00,599
Speaker 1: outreach programs begging minority students to apply to medical school.

1375
01:24:01,000 --> 01:24:03,360
Speaker 1: And you're like, where's my white privilege? Right, you're a

1376
01:24:03,400 --> 01:24:06,000
Speaker 1: Filipino immigrant and your or your parents are and your

1377
01:24:06,040 --> 01:24:10,720
Speaker 1: first generation American. Huh. That's where the left is wrong.

1378
01:24:10,840 --> 01:24:15,280
Speaker 1: They're just wrong here. It's unjustifiable. They cannot that, they

1379
01:24:15,320 --> 01:24:18,280
Speaker 1: cannot defend these policies other than to say that they

1380
01:24:18,320 --> 01:24:20,240
Speaker 1: think it's good and if you disagree, you're racist and

1381
01:24:20,240 --> 01:24:23,519
Speaker 1: you're a bad person and you're a sexist too. Uh.

1382
01:24:23,600 --> 01:24:25,519
Speaker 1: This is another part of this I thought was really interesting.

1383
01:24:26,520 --> 01:24:28,760
Speaker 1: Heather McDonald writing this. I'm just quoting her. This is

1384
01:24:28,800 --> 01:24:33,559
Speaker 1: a national journal um the This is about the belief

1385
01:24:33,600 --> 01:24:36,120
Speaker 1: that every scientific field would show gender parody. This is

1386
01:24:36,120 --> 01:24:40,759
Speaker 1: what she says. That belief is ungrounded. Males outperformed females

1387
01:24:40,800 --> 01:24:44,680
Speaker 1: at the highest reaches of mathematical reasoning and are overrepresented

1388
01:24:44,760 --> 01:24:48,960
Speaker 1: at the lowest level of mathematical incompetence. Differences in math

1389
01:24:49,120 --> 01:24:52,400
Speaker 1: precocity between boys and girls show up as early as kindergarten.

1390
01:24:53,080 --> 01:24:56,160
Speaker 1: For decades, males in every ethnic group have scored a

1391
01:24:56,240 --> 01:24:58,720
Speaker 1: higher than females in their same ethnic group on the

1392
01:24:58,760 --> 01:25:02,040
Speaker 1: math s a T. In twenty sixteen, the percentage of

1393
01:25:02,080 --> 01:25:05,400
Speaker 1: males scoring above seven hundred was nearly twice as high

1394
01:25:05,439 --> 01:25:08,599
Speaker 1: as the percentage of females in that range. There are

1395
01:25:08,600 --> 01:25:11,439
Speaker 1: two point five males in the US in the top

1396
01:25:11,479 --> 01:25:16,799
Speaker 1: point zero one percent of math ability for every female. Now. Funders,

1397
01:25:16,840 --> 01:25:21,280
Speaker 1: industry leaders, and academic administrators maintain that scientific progress will

1398
01:25:21,280 --> 01:25:24,519
Speaker 1: stall unless we pay close attention to identity and try

1399
01:25:24,520 --> 01:25:28,639
Speaker 1: to engineer proportional representation in schools and laboratories. The truth

1400
01:25:28,720 --> 01:25:33,160
Speaker 1: is exactly the opposite. Lowering standards and diverting scientists energy

1401
01:25:33,200 --> 01:25:37,040
Speaker 1: into combating phantom sexism and racism is reckless in a

1402
01:25:37,120 --> 01:25:42,720
Speaker 1: highly competitive, ruthless and unforgiving, unforgiving global marketplace. China is

1403
01:25:42,720 --> 01:25:44,559
Speaker 1: catching up to the the US and science and technology. We

1404
01:25:44,560 --> 01:25:46,400
Speaker 1: need to pa attention. So there's a few different things

1405
01:25:46,400 --> 01:25:50,320
Speaker 1: she works in here. One is, as you know, by

1406
01:25:50,320 --> 01:25:52,240
Speaker 1: the way, that got Larry Summers just for bringing that up.

1407
01:25:52,240 --> 01:25:55,160
Speaker 1: He got fired from being like the provost or dean

1408
01:25:55,240 --> 01:25:58,880
Speaker 1: or whatever he was at Harvard. At Harvard University saying well,

1409
01:25:58,880 --> 01:26:01,280
Speaker 1: you know, maybe in general, all you know, men actually

1410
01:26:01,320 --> 01:26:07,000
Speaker 1: just in the aggregate, have more, look, more people that

1411
01:26:07,040 --> 01:26:10,200
Speaker 1: fall into the realm of like math genius basically just

1412
01:26:10,360 --> 01:26:13,519
Speaker 1: because he got fired for that. Heather is like, well,

1413
01:26:13,520 --> 01:26:15,879
Speaker 1: that's actually what the numbers show. This is the same

1414
01:26:16,120 --> 01:26:19,120
Speaker 1: same discussion that gets in different ways, gets people like

1415
01:26:19,160 --> 01:26:23,320
Speaker 1: Sam Harris and Charles Murray and Heather McDonald and others

1416
01:26:23,320 --> 01:26:25,439
Speaker 1: into all this trouble because they're just like, well, this

1417
01:26:25,520 --> 01:26:27,240
Speaker 1: is what the science says. And then they go, how

1418
01:26:27,320 --> 01:26:30,080
Speaker 1: dare you you can't discuss that? And you get the

1419
01:26:30,160 --> 01:26:33,680
Speaker 1: voxes of the world, you know, the the the shrieking

1420
01:26:33,840 --> 01:26:36,920
Speaker 1: beta males of the digerati coming after people were just

1421
01:26:36,960 --> 01:26:39,799
Speaker 1: trying to actually have a real discussion about what's what's happening.

1422
01:26:41,200 --> 01:26:43,960
Speaker 1: But then the point she makes about our our competitiveness, Yeah,

1423
01:26:44,080 --> 01:26:46,040
Speaker 1: I agree with Heather that this is an issue with

1424
01:26:46,200 --> 01:26:49,519
Speaker 1: trying to, you know, stay ahead of China and science

1425
01:26:49,520 --> 01:26:52,680
Speaker 1: and math, and that's our biggest civilizational advantage other than

1426
01:26:52,680 --> 01:26:55,559
Speaker 1: our general respect for rule of law, which Democrats are

1427
01:26:55,600 --> 01:27:00,000
Speaker 1: also rooting. Legal immigration, the Mueller probe and all the

1428
01:27:00,040 --> 01:27:05,800
Speaker 1: recklessness with the prosecutorial misconduct. But at the level of

1429
01:27:05,800 --> 01:27:08,960
Speaker 1: our day to day What do they think it's going

1430
01:27:09,000 --> 01:27:14,000
Speaker 1: to do for people's sense of the victimology and intersectionality? Right,

1431
01:27:14,080 --> 01:27:17,160
Speaker 1: the idea that all these different groups are oppressing one another.

1432
01:27:17,680 --> 01:27:19,320
Speaker 1: When all of a sudden people are saying, you know what,

1433
01:27:19,360 --> 01:27:22,400
Speaker 1: I just I I want a doctor who falls into

1434
01:27:22,439 --> 01:27:24,920
Speaker 1: these categories because I know that he, and it's gonna

1435
01:27:24,920 --> 01:27:27,200
Speaker 1: be a he in most cases didn't get a leg

1436
01:27:27,280 --> 01:27:30,559
Speaker 1: up and had to earn it. What's the left gonna

1437
01:27:30,600 --> 01:27:32,880
Speaker 1: tell us when in ten years we're looking back and saying,

1438
01:27:32,880 --> 01:27:35,280
Speaker 1: hold on a second, what about these doctors who just

1439
01:27:35,360 --> 01:27:38,760
Speaker 1: aren't as talented and aren't as good. Why did they

1440
01:27:38,800 --> 01:27:41,720
Speaker 1: get pushed through? Who is that benefiting? Do you want

1441
01:27:41,760 --> 01:27:44,240
Speaker 1: to be the one getting open heart surgery from the

1442
01:27:44,240 --> 01:27:49,080
Speaker 1: affirmative action doctor or the gender parody doctor. I think

1443
01:27:49,160 --> 01:27:52,360
Speaker 1: we all know the answer to that question. So this

1444
01:27:52,400 --> 01:27:55,360
Speaker 1: is where the left is wrong. The thing about critical

1445
01:27:55,400 --> 01:27:57,960
Speaker 1: information for your business is when you need it, you

1446
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Speaker 1: need it right away, and you need to get from

1447
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Speaker 1: people that you can trust. For the best in the business.

1448
01:28:04,040 --> 01:28:08,320
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1449
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1450
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Speaker 1: background checked down on everybody, or if you need vetting

1453
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Speaker 1: of a perspective client, if you're involved in any kind

1454
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Speaker 1: of corporate transaction where you need to know more about

1455
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Speaker 1: the other side, Global Verification Network is your answer. Call

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Speaker 1: my GVN dot com or eight seven seven six nine

1459
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1460
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1461
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1462
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Speaker 1: out for yourself. Global Verification Network leave no stone unturned.

1463
01:28:53,840 --> 01:28:56,160
Speaker 1: One of the things that Trump learned in New York,

1464
01:28:56,600 --> 01:29:00,400
Speaker 1: in the toughest media market in America is at back down.

1465
01:29:00,400 --> 01:29:04,000
Speaker 1: Apologizing never worked because the people who are your enemies

1466
01:29:04,320 --> 01:29:06,960
Speaker 1: just take that pocket and come at you again. And

1467
01:29:07,000 --> 01:29:09,160
Speaker 1: so I think he has a very clear pattern. He's

1468
01:29:09,200 --> 01:29:12,080
Speaker 1: he's done this all the way through. He doesn't apologize,

1469
01:29:12,080 --> 01:29:16,360
Speaker 1: he doesn't back off. You know, Nude has become one

1470
01:29:16,400 --> 01:29:20,559
Speaker 1: of the most stalwart defenders of this administration, and and

1471
01:29:20,960 --> 01:29:23,519
Speaker 1: he's saying here what I was just saying yesterday about

1472
01:29:23,560 --> 01:29:28,360
Speaker 1: the whole Kelly Saddler situation, which is I understand why

1473
01:29:29,040 --> 01:29:32,360
Speaker 1: the White House isn't isn't giving into this whole You

1474
01:29:32,439 --> 01:29:38,800
Speaker 1: must apologize for the bad but private comment of one

1475
01:29:38,800 --> 01:29:42,439
Speaker 1: of your employees after she's made an apology to the family,

1476
01:29:43,360 --> 01:29:45,400
Speaker 1: because it just means that that by the way, you know,

1477
01:29:45,439 --> 01:29:48,679
Speaker 1: I don't know what Kelly Soundly looks like right now. Um,

1478
01:29:48,760 --> 01:29:51,360
Speaker 1: she's slowly fading out of the news cycle. I mean,

1479
01:29:51,360 --> 01:29:53,000
Speaker 1: the media is trying to keep her in there as

1480
01:29:53,080 --> 01:29:57,400
Speaker 1: much as possible, the non Fox media, right the CNN,

1481
01:29:57,479 --> 01:30:02,840
Speaker 1: MSNBC anti Trump accident us out there. By the way,

1482
01:30:02,880 --> 01:30:04,880
Speaker 1: we should the access networks, you know, kind of like

1483
01:30:04,880 --> 01:30:07,240
Speaker 1: the access powers. We should really come up with something here.

1484
01:30:07,920 --> 01:30:11,320
Speaker 1: But the the truth is that when you apologize, it

1485
01:30:11,439 --> 01:30:13,040
Speaker 1: used to be the case. And I think this is

1486
01:30:13,080 --> 01:30:14,800
Speaker 1: a cultural shift, And this is what got me thinking

1487
01:30:14,800 --> 01:30:17,360
Speaker 1: about this today. I think there's been a real change here.

1488
01:30:18,240 --> 01:30:22,600
Speaker 1: It used to be that if you apologized, there was

1489
01:30:23,600 --> 01:30:26,880
Speaker 1: some hope that the other side would say, okay, if

1490
01:30:26,880 --> 01:30:29,400
Speaker 1: you if we think you're you're sincere. If you've done

1491
01:30:29,520 --> 01:30:32,439
Speaker 1: enough penance, so to speak. We will let you go

1492
01:30:32,479 --> 01:30:34,120
Speaker 1: on with your life, will let you go on and

1493
01:30:34,160 --> 01:30:36,240
Speaker 1: do what is you think you you know, should be doing.

1494
01:30:36,720 --> 01:30:39,799
Speaker 1: But now your apology is kind of like being forced

1495
01:30:39,800 --> 01:30:42,600
Speaker 1: to testify against yourself. Right, there's a reason why we

1496
01:30:42,680 --> 01:30:48,640
Speaker 1: have a constitutional right not to, uh, to give testimony.

1497
01:30:48,720 --> 01:30:51,200
Speaker 1: That could be a problem for us, because there's something

1498
01:30:51,240 --> 01:30:54,599
Speaker 1: particularly debasing, right you. You you have a right against

1499
01:30:54,600 --> 01:30:58,880
Speaker 1: self incrimination. You have a right to remain silent, as

1500
01:30:58,920 --> 01:31:03,280
Speaker 1: you know, and take you plead the fifth and that

1501
01:31:03,479 --> 01:31:06,040
Speaker 1: and a right to man silent is miranda. It's differently,

1502
01:31:06,120 --> 01:31:08,280
Speaker 1: but it's a similar concept, right that you can just

1503
01:31:08,280 --> 01:31:10,519
Speaker 1: be quiet and the police can make you talk, that

1504
01:31:10,640 --> 01:31:13,600
Speaker 1: can make you testify in a court. Uh. What the

1505
01:31:13,680 --> 01:31:16,559
Speaker 1: left wants now is not just the apology and to

1506
01:31:16,600 --> 01:31:18,280
Speaker 1: hold that up like some kind of a trophy of

1507
01:31:18,360 --> 01:31:21,200
Speaker 1: victory over you. But they want to force you to

1508
01:31:21,200 --> 01:31:25,320
Speaker 1: apologize King Geoffrey style from Game of Thrones. They want

1509
01:31:25,320 --> 01:31:27,960
Speaker 1: to force you to admit your treason so then they

1510
01:31:27,960 --> 01:31:29,559
Speaker 1: can lop your head off and say, but I mean

1511
01:31:29,560 --> 01:31:35,240
Speaker 1: he admitted it, folks. Right, the game has changed now

1512
01:31:35,960 --> 01:31:39,200
Speaker 1: and and you can never, never, never apologize look, we

1513
01:31:39,200 --> 01:31:43,280
Speaker 1: we saw this with Laura ingram Over at Fox News,

1514
01:31:43,840 --> 01:31:46,240
Speaker 1: who I didn't think step down the line at all.

1515
01:31:46,360 --> 01:31:48,280
Speaker 1: First of all, really, I mean, you know, there's a

1516
01:31:48,280 --> 01:31:51,680
Speaker 1: difference between not my cup of tea and out a

1517
01:31:51,720 --> 01:31:54,680
Speaker 1: line and what she got in trouble for initially with

1518
01:31:54,720 --> 01:31:57,960
Speaker 1: the with the media wasn't out a line. It just

1519
01:31:58,479 --> 01:32:00,280
Speaker 1: wasn't you know, it wasn't what I would a said

1520
01:32:00,360 --> 01:32:03,360
Speaker 1: or done. But you know, and then she said, all right,

1521
01:32:03,400 --> 01:32:05,240
Speaker 1: you know, I'm sorry, I shouldn't have done that, and

1522
01:32:05,240 --> 01:32:09,640
Speaker 1: and they used that admission against her, right the I'm sorry, Uh,

1523
01:32:09,760 --> 01:32:11,840
Speaker 1: you know, I could have been taking the higher road

1524
01:32:11,920 --> 01:32:15,800
Speaker 1: or something that was that was used against her, just

1525
01:32:15,840 --> 01:32:17,880
Speaker 1: like you know, anything you can, anything you say, Kennan

1526
01:32:17,960 --> 01:32:20,519
Speaker 1: will be used against you. That's what apologies are now.

1527
01:32:21,600 --> 01:32:24,439
Speaker 1: And that's why I understand the hesitation from the White House,

1528
01:32:24,479 --> 01:32:26,519
Speaker 1: because the moment the White House and you know this

1529
01:32:26,560 --> 01:32:28,080
Speaker 1: as well as I do. I mean, there's a lot

1530
01:32:28,120 --> 01:32:31,160
Speaker 1: of posturing going on over this the moment, by the way,

1531
01:32:31,560 --> 01:32:35,800
Speaker 1: you know, put this aside for a moment. The the

1532
01:32:35,880 --> 01:32:41,559
Speaker 1: Democrats on the left have made a particular I've almost

1533
01:32:41,600 --> 01:32:46,640
Speaker 1: become like professional John McCain defenders insomuch as it's a

1534
01:32:46,720 --> 01:32:51,040
Speaker 1: useful cudgel against Trump and this administration. You know, I

1535
01:32:51,160 --> 01:32:54,880
Speaker 1: remember when you know they were they were trashing John

1536
01:32:54,960 --> 01:32:58,040
Speaker 1: McCabe when he was running against Obama me. But you

1537
01:32:58,040 --> 01:33:00,479
Speaker 1: know now now it's it's useful for them. So there.

1538
01:33:00,640 --> 01:33:03,760
Speaker 1: I don't mean on this specific incident, but even those

1539
01:33:03,800 --> 01:33:06,200
Speaker 1: that came before this, with this administration, they always take

1540
01:33:06,280 --> 01:33:10,280
Speaker 1: McCain's side. I think it's interesting. I think it's obviously opportunistic.

1541
01:33:11,800 --> 01:33:15,679
Speaker 1: But the hesitation to apologize, I understand where it comes

1542
01:33:15,760 --> 01:33:20,559
Speaker 1: from because I see what happens. Uh. The good faith

1543
01:33:20,600 --> 01:33:24,760
Speaker 1: apology is no longer rewarded by the left. The good

1544
01:33:24,760 --> 01:33:30,320
Speaker 1: faith apology no longer gets you anything, and in fact

1545
01:33:30,360 --> 01:33:32,120
Speaker 1: that it works against you a lot of the time.

1546
01:33:32,240 --> 01:33:34,559
Speaker 1: So the moment the White House were to come out

1547
01:33:34,600 --> 01:33:36,439
Speaker 1: and say, you know what, we want to give a

1548
01:33:36,439 --> 01:33:40,320
Speaker 1: formal apology on behalf of Kelly Sadler, who has apologized

1549
01:33:40,360 --> 01:33:44,040
Speaker 1: to Megan McCain, Uh, the moment they come out and

1550
01:33:44,080 --> 01:33:47,840
Speaker 1: say that it is the only news story you're gonna

1551
01:33:47,880 --> 01:33:53,160
Speaker 1: see the country subjected to with any consistency for about

1552
01:33:53,200 --> 01:33:56,080
Speaker 1: forty eight hours, Oh, this White House, Look at how

1553
01:33:56,160 --> 01:33:58,599
Speaker 1: terrible it will be as though Trump said it himself

1554
01:33:58,640 --> 01:34:02,000
Speaker 1: and has had to apologize for it. And this is

1555
01:34:02,040 --> 01:34:06,160
Speaker 1: where narrative and framing and contacts and all the things

1556
01:34:06,160 --> 01:34:08,599
Speaker 1: the media, all the games they like to play, really

1557
01:34:09,439 --> 01:34:13,320
Speaker 1: come into effect. As you know, you know, a comment

1558
01:34:13,400 --> 01:34:16,680
Speaker 1: made by you know, Joe Biden saying'm gonna put you

1559
01:34:16,680 --> 01:34:18,840
Speaker 1: all back in chains for example, I mean comments that

1560
01:34:18,920 --> 01:34:20,800
Speaker 1: really are out of line, and he will say, oh,

1561
01:34:20,880 --> 01:34:24,320
Speaker 1: you know he's speaking. Look, they they made a science

1562
01:34:24,360 --> 01:34:28,080
Speaker 1: of this practically with Joe Biden. Joe Biden would say something.

1563
01:34:28,120 --> 01:34:29,879
Speaker 1: He'd be like, yeah, you know, if you're an Indian

1564
01:34:30,000 --> 01:34:32,040
Speaker 1: and you own a seven eleven, I mean, that's just

1565
01:34:32,080 --> 01:34:35,680
Speaker 1: what he said. You know, you remember this. We we

1566
01:34:35,720 --> 01:34:40,280
Speaker 1: could probably even grab a clip of of of some

1567
01:34:40,360 --> 01:34:42,240
Speaker 1: bidenisms and just played here for you on the air.

1568
01:34:42,280 --> 01:34:45,320
Speaker 1: Maybe we'll do that later on UM. But you know,

1569
01:34:45,360 --> 01:34:48,720
Speaker 1: Biden would say something that was offensive over line, they say, oh,

1570
01:34:48,760 --> 01:34:51,599
Speaker 1: you know, that's just Joe b and Joe uh uh.

1571
01:34:52,360 --> 01:34:54,559
Speaker 1: That were Republican, it would be he needs to be

1572
01:34:54,880 --> 01:34:58,920
Speaker 1: run out of office. This is an outrage. So it's

1573
01:34:58,960 --> 01:35:00,960
Speaker 1: just it's changed the game aim with apologies, That's all

1574
01:35:00,960 --> 01:35:03,080
Speaker 1: I'm really trying to say. It is a different world

1575
01:35:03,080 --> 01:35:06,280
Speaker 1: now for this, and you only apologize if you feel

1576
01:35:06,280 --> 01:35:10,240
Speaker 1: it is it is what honor and ethnics demand, not

1577
01:35:10,400 --> 01:35:13,120
Speaker 1: what they demand, not what the other side is demanding

1578
01:35:13,120 --> 01:35:17,080
Speaker 1: of you, because the apology is just used as the

1579
01:35:17,400 --> 01:35:20,920
Speaker 1: rope to finish off your career, your your dunzo when

1580
01:35:20,960 --> 01:35:23,160
Speaker 1: you apologize now, because that's the way the left is

1581
01:35:23,160 --> 01:35:25,960
Speaker 1: playing the game. UM. So with that, I want to

1582
01:35:25,960 --> 01:35:28,120
Speaker 1: talk to you about Tom Wolfe, who just passed away.

1583
01:35:28,120 --> 01:35:31,960
Speaker 1: That's coming up. I usually don't spend much time on

1584
01:35:32,000 --> 01:35:38,800
Speaker 1: the show talking about those who have recently departed, um

1585
01:35:38,840 --> 01:35:43,240
Speaker 1: in terms of people that are well known celebrities, political figures,

1586
01:35:43,960 --> 01:35:47,719
Speaker 1: but you may have seen that Tom Wolfe passed away

1587
01:35:47,760 --> 01:35:52,840
Speaker 1: today at the age of and this this was one

1588
01:35:52,880 --> 01:35:54,000
Speaker 1: that I have to say, I kind of had to

1589
01:35:54,000 --> 01:35:56,800
Speaker 1: stop and think for a little bit about how this

1590
01:35:56,840 --> 01:35:59,639
Speaker 1: guy had an influence on me. If you haven't read

1591
01:36:00,760 --> 01:36:04,639
Speaker 1: Bonfire of the Vanities, I think that it's a book

1592
01:36:04,720 --> 01:36:11,120
Speaker 1: that to this day maintains a lot of it's political salience.

1593
01:36:11,680 --> 01:36:15,160
Speaker 1: It still gives you a real sense of how the

1594
01:36:15,240 --> 01:36:19,280
Speaker 1: game is played when it comes to criminal prosecution, the

1595
01:36:19,320 --> 01:36:22,759
Speaker 1: way the media deals with them, and just the social

1596
01:36:22,760 --> 01:36:26,840
Speaker 1: and political dynamics at work in an American city. I

1597
01:36:26,880 --> 01:36:31,479
Speaker 1: think that wolfs Bonfire the Vanity is really captured that.

1598
01:36:31,520 --> 01:36:33,679
Speaker 1: You know, you get people that are all pushing, They're

1599
01:36:33,680 --> 01:36:37,840
Speaker 1: all pushing their own agendas, and that has some very

1600
01:36:37,920 --> 01:36:42,040
Speaker 1: real effects for folks who are caught up in the Maelstrom.

1601
01:36:42,840 --> 01:36:44,720
Speaker 1: I think it's a good book. I was assigned it

1602
01:36:45,400 --> 01:36:47,760
Speaker 1: years ago in in school, and I had already read

1603
01:36:47,800 --> 01:36:48,960
Speaker 1: it on my own, so that was kind of a

1604
01:36:48,960 --> 01:36:51,200
Speaker 1: fun one, you know whenever. I used to love that

1605
01:36:51,240 --> 01:36:53,880
Speaker 1: when I had beaten the teacher to the punch, but

1606
01:36:53,880 --> 01:36:55,400
Speaker 1: then I up having to read again because you know,

1607
01:36:55,439 --> 01:36:59,320
Speaker 1: reading comprehension tests, you've gotta remember if you know the

1608
01:36:59,360 --> 01:37:01,479
Speaker 1: lady wore a pink bone or hair or not or else,

1609
01:37:01,560 --> 01:37:04,320
Speaker 1: they think you didn't read it. But you know, Wolf

1610
01:37:04,439 --> 01:37:08,120
Speaker 1: was Wolf was a really gosh I was gonna say

1611
01:37:08,160 --> 01:37:12,880
Speaker 1: profound author. That sounds pretty hackneyed, but it's true. Doing

1612
01:37:12,960 --> 01:37:15,400
Speaker 1: for Bonfire very bad movie. I was actually just talking

1613
01:37:15,360 --> 01:37:18,040
Speaker 1: to my family about that over the weekend. The film

1614
01:37:18,080 --> 01:37:22,439
Speaker 1: adaptation of Bonfire the Vanities is pretty much total garbage,

1615
01:37:22,840 --> 01:37:25,439
Speaker 1: and as Tom Hanks in it, yeah, that's right. Tom

1616
01:37:25,479 --> 01:37:29,200
Speaker 1: Hanks is capable of clunkers. Don't think that Hanks is

1617
01:37:29,240 --> 01:37:34,120
Speaker 1: above uh dropping some pretty bad stuff out there, because

1618
01:37:34,560 --> 01:37:37,960
Speaker 1: it has certainly happened. Um, Bonfire is a case in point.

1619
01:37:38,720 --> 01:37:41,920
Speaker 1: Just it was miscast, poorly written. The whole thing. It

1620
01:37:42,000 --> 01:37:45,160
Speaker 1: was just bad. It was just really bad. And uh

1621
01:37:45,640 --> 01:37:50,639
Speaker 1: electro kool Aid acid test Um. I Am Hooking Up

1622
01:37:50,720 --> 01:37:52,640
Speaker 1: was another book that he really I think that was

1623
01:37:52,680 --> 01:37:54,960
Speaker 1: a collection of essays that right, that one, Uh and

1624
01:37:54,960 --> 01:37:58,519
Speaker 1: then I Am Charlotte Simmons, which was really based on

1625
01:37:58,680 --> 01:38:02,479
Speaker 1: Duke University maybe ten or fifteen years ago, and he

1626
01:38:02,560 --> 01:38:05,759
Speaker 1: got some of the dynamics that we see today we're

1627
01:38:05,760 --> 01:38:09,800
Speaker 1: talking about political correctness and uh, he he got some

1628
01:38:09,840 --> 01:38:12,880
Speaker 1: of that very right. He wrote a sex scene in

1629
01:38:12,880 --> 01:38:15,160
Speaker 1: the book that people gave a very hard time to

1630
01:38:15,200 --> 01:38:18,080
Speaker 1: the book for just and that it was the whole

1631
01:38:18,080 --> 01:38:22,440
Speaker 1: thing was kind of uncomfortable for people to read. And uh,

1632
01:38:22,479 --> 01:38:24,639
Speaker 1: you know, I think he gotta I think he got

1633
01:38:24,640 --> 01:38:27,880
Speaker 1: a Razzie for it, like the Award for the Worst. Um.

1634
01:38:27,880 --> 01:38:32,760
Speaker 1: But I Am Charlotte Simmons also was concerned with something

1635
01:38:32,760 --> 01:38:34,920
Speaker 1: that I always talked about, which is that universities have

1636
01:38:35,000 --> 01:38:37,200
Speaker 1: turned into I don't know, people get mad at me

1637
01:38:37,200 --> 01:38:39,439
Speaker 1: for this and that's fine. I'm okay with that because

1638
01:38:39,479 --> 01:38:41,240
Speaker 1: I think I'm right, and I'll tell you what I

1639
01:38:41,280 --> 01:38:43,760
Speaker 1: think is right, that a lot of colleges universities have

1640
01:38:43,800 --> 01:38:46,800
Speaker 1: turned into minor league sports franchises that also have classes,

1641
01:38:47,560 --> 01:38:51,719
Speaker 1: and that needs to not be the case. I was shocked,

1642
01:38:51,760 --> 01:38:53,400
Speaker 1: even when I got to a little rinky dink D

1643
01:38:53,600 --> 01:38:58,800
Speaker 1: three athletic program at Amherst, that this was a centerpiece

1644
01:38:58,800 --> 01:39:01,360
Speaker 1: of campus life, that we were all supposed to care.

1645
01:39:01,479 --> 01:39:05,639
Speaker 1: How are terrible football team did each year, why they

1646
01:39:05,680 --> 01:39:09,960
Speaker 1: weren't very good at all, and no one cares although

1647
01:39:10,000 --> 01:39:13,120
Speaker 1: we were all supposed to care. I was, I guess,

1648
01:39:13,120 --> 01:39:16,479
Speaker 1: a a school spirit, malcontent in that sense. But at

1649
01:39:16,520 --> 01:39:18,679
Speaker 1: a school like Duke, where you're talking about being national

1650
01:39:18,760 --> 01:39:22,720
Speaker 1: champions and things like basketball and across UH, it's it's

1651
01:39:22,720 --> 01:39:25,120
Speaker 1: even more powerful a force on the campus. And I

1652
01:39:25,160 --> 01:39:27,479
Speaker 1: just think it's gotten completely out of control. And and

1653
01:39:27,560 --> 01:39:29,200
Speaker 1: he dealt with that in the book. He referred to

1654
01:39:29,840 --> 01:39:33,040
Speaker 1: some of these D one athletes as essentially mercenaries who

1655
01:39:33,080 --> 01:39:36,280
Speaker 1: go through the motions of being students but really are

1656
01:39:36,400 --> 01:39:39,240
Speaker 1: very leading, very separate lives and have a very different

1657
01:39:39,280 --> 01:39:42,719
Speaker 1: emphasis from their fellow students, especially if there's a prospect

1658
01:39:42,720 --> 01:39:47,240
Speaker 1: of going pro so yeah, Wolf, Um, you know Wolf fastuated.

1659
01:39:47,400 --> 01:39:50,120
Speaker 1: He was known for wearing white suits all the time

1660
01:39:50,760 --> 01:39:53,439
Speaker 1: and for Oh he also was the author of The

1661
01:39:53,520 --> 01:39:55,280
Speaker 1: Right Stuff by the Way, which you know what, I

1662
01:39:55,280 --> 01:39:57,559
Speaker 1: actually haven't read that one, and a lot of people

1663
01:39:57,600 --> 01:40:02,200
Speaker 1: say that's actually his his est. Uh. He worked at

1664
01:40:02,200 --> 01:40:07,840
Speaker 1: the Washington Post New York Harold Tribune. Um. He wrote

1665
01:40:07,840 --> 01:40:13,080
Speaker 1: a literary style known as the new journalism. So yeah,

1666
01:40:13,120 --> 01:40:16,960
Speaker 1: he was, he was, he was a big deal. Say

1667
01:40:17,000 --> 01:40:20,439
Speaker 1: he was kind of a big deal. Tom Walt years

1668
01:40:20,439 --> 01:40:23,439
Speaker 1: of age. Um, I have to say, you know, there

1669
01:40:23,479 --> 01:40:25,360
Speaker 1: there are only a few books that I remember reading

1670
01:40:25,360 --> 01:40:27,559
Speaker 1: when I was really young and thinking it would be

1671
01:40:28,400 --> 01:40:31,000
Speaker 1: the greatest job, imagine will to be a novelist, And

1672
01:40:31,160 --> 01:40:34,599
Speaker 1: Bonfire the Vanities is one of them, um, and also

1673
01:40:34,640 --> 01:40:39,200
Speaker 1: really captured a kind of eighties zeitgeist of being in

1674
01:40:39,240 --> 01:40:40,680
Speaker 1: New York City for those of you care about that

1675
01:40:40,720 --> 01:40:43,840
Speaker 1: kind of stuff. Bonfire and the movie Wall Street are

1676
01:40:43,920 --> 01:40:45,719
Speaker 1: two that I would really recommend. In fact, you should

1677
01:40:45,720 --> 01:40:48,080
Speaker 1: watch Wall Street and then read Bonfire or vice versa.

1678
01:40:49,600 --> 01:40:51,000
Speaker 1: But being a novelist has got to be one of

1679
01:40:51,000 --> 01:40:52,960
Speaker 1: the greatest jobs of all time. If you can do it.

1680
01:40:53,000 --> 01:40:55,479
Speaker 1: I feel like now it's you know, e books, and

1681
01:40:55,479 --> 01:40:59,120
Speaker 1: there's all this different competition, so there are only a

1682
01:40:59,120 --> 01:41:02,720
Speaker 1: few writers. I mean, with Ristopher Hitchens passed away, I

1683
01:41:02,760 --> 01:41:05,280
Speaker 1: felt like, wow, I'm not gonna read any more of

1684
01:41:05,280 --> 01:41:09,000
Speaker 1: that guy's stuff. So it affected my life in that regard, right, wow,

1685
01:41:09,040 --> 01:41:11,000
Speaker 1: I'm not not of course he feels sorry for anyone's

1686
01:41:11,000 --> 01:41:13,720
Speaker 1: family and it. But these guys had lived. Hitchens and

1687
01:41:13,760 --> 01:41:16,040
Speaker 1: well he was a bit younger, but a wolf certainly

1688
01:41:16,120 --> 01:41:18,639
Speaker 1: at his age, led a very full, very successful life.

1689
01:41:19,720 --> 01:41:23,479
Speaker 1: But you think about how for folks who really look

1690
01:41:23,560 --> 01:41:25,439
Speaker 1: forward to the next article or the next book by

1691
01:41:25,439 --> 01:41:28,920
Speaker 1: some of these people, it affects you a little bit.

1692
01:41:28,920 --> 01:41:31,160
Speaker 1: You're like, oh, wow, I'm not going to read anymore.

1693
01:41:31,200 --> 01:41:33,439
Speaker 1: But as I said, the right stuff now I think

1694
01:41:33,479 --> 01:41:37,600
Speaker 1: has to be put on my list of books that

1695
01:41:37,680 --> 01:41:40,960
Speaker 1: I will have to tackle going forward. Although that list,

1696
01:41:41,040 --> 01:41:45,840
Speaker 1: right nows is huge, It's really big. I gotta find

1697
01:41:45,840 --> 01:41:48,599
Speaker 1: a way to start cutting it down to size. I've

1698
01:41:48,640 --> 01:41:50,599
Speaker 1: fallen off the wagon the last few days. I've been

1699
01:41:50,640 --> 01:41:53,759
Speaker 1: so ensconced and other projects. I haven't been reading books,

1700
01:41:53,760 --> 01:41:55,599
Speaker 1: which I forced myself to do every day at least

1701
01:41:56,280 --> 01:42:04,719
Speaker 1: um some portion of the day roll calls up. Next team,

1702
01:42:05,640 --> 01:42:18,720
Speaker 1: it's time for roll call. Swampy, my friends, it is

1703
01:42:18,760 --> 01:42:22,639
Speaker 1: swampy down here in d C. I just was talking

1704
01:42:22,680 --> 01:42:24,559
Speaker 1: to Brandon's running the board today and I told him,

1705
01:42:24,560 --> 01:42:28,400
Speaker 1: I'm I'm schwitzing way too much. I walk around and

1706
01:42:28,439 --> 01:42:31,960
Speaker 1: it's just a constant schwitz And it's not in the

1707
01:42:31,960 --> 01:42:34,800
Speaker 1: fun way where you feel like you're releasing toxins. I'm

1708
01:42:34,880 --> 01:42:40,040
Speaker 1: just walking around in a state of dampness, which is

1709
01:42:40,080 --> 01:42:44,360
Speaker 1: neither fun nor nor particularly attractive. I think. Nonetheless. Uh,

1710
01:42:44,400 --> 01:42:45,760
Speaker 1: down here in the swamp, and a lot to talk

1711
01:42:45,760 --> 01:42:48,880
Speaker 1: to you about here on roll call. If you want

1712
01:42:48,960 --> 01:42:52,800
Speaker 1: to be involved in the roll call, it is a

1713
01:42:52,840 --> 01:42:57,719
Speaker 1: pretty straightforward process. It's gonna face book dot com, Book

1714
01:42:57,800 --> 01:43:02,400
Speaker 1: dot com. Uh, slash buck Sexton, Facebook dot com, slash

1715
01:43:02,439 --> 01:43:05,240
Speaker 1: buck Sexton Donald first up here. Love the show, Buck

1716
01:43:05,760 --> 01:43:09,080
Speaker 1: listen live every chance I get. But your podcasts are

1717
01:43:09,120 --> 01:43:12,799
Speaker 1: great to have too. Well, thank you, Donald. Regarding yesterday's

1718
01:43:12,800 --> 01:43:16,160
Speaker 1: show where you were playing news clips about the embassy

1719
01:43:16,320 --> 01:43:19,200
Speaker 1: in Israel, it was just eight years ago and we

1720
01:43:19,200 --> 01:43:21,960
Speaker 1: were told that we had to change our traditions. Just

1721
01:43:22,120 --> 01:43:27,280
Speaker 1: an observation of the media's hypocrisy once again. Well, Donald.

1722
01:43:27,320 --> 01:43:29,080
Speaker 1: Let's see. I see what you're going for there. And yes,

1723
01:43:29,120 --> 01:43:31,960
Speaker 1: in fact, it is the case that the way things

1724
01:43:32,040 --> 01:43:36,120
Speaker 1: were done in the past. Uh, that's unbreakable tradition. When

1725
01:43:36,160 --> 01:43:38,880
Speaker 1: it's something that the left likes and the way things

1726
01:43:38,920 --> 01:43:42,479
Speaker 1: were done in the past that the left doesn't like,

1727
01:43:42,640 --> 01:43:46,320
Speaker 1: we're told that's on the wrong side of history. That's

1728
01:43:46,360 --> 01:43:52,400
Speaker 1: the phrase that the Obama administration particular liked to use. Uh.

1729
01:43:52,479 --> 01:43:54,400
Speaker 1: Seth is next up here, Hey, Buck, I agree with

1730
01:43:54,439 --> 01:43:58,719
Speaker 1: your Roll Call contributor from Monday's episode regarding Joe Rogan.

1731
01:43:59,320 --> 01:44:01,120
Speaker 1: I had to stop listening to him because he was

1732
01:44:01,160 --> 01:44:04,400
Speaker 1: Trump bashing too much. Plus, you're both wicked smart, and

1733
01:44:04,600 --> 01:44:07,240
Speaker 1: I bet you'd make for a great guest. I'd love

1734
01:44:07,280 --> 01:44:11,760
Speaker 1: to hear that podcast from Seth. Seth, thank you so much. Yeah, man, Look,

1735
01:44:11,800 --> 01:44:13,960
Speaker 1: tell Joe, send him a note, send him an email.

1736
01:44:14,160 --> 01:44:17,479
Speaker 1: I'm happy to do it, and I will. I'll reach

1737
01:44:17,520 --> 01:44:19,120
Speaker 1: out to him. I don't think we follow each other

1738
01:44:19,120 --> 01:44:21,360
Speaker 1: on Twitter, but I'll send him a note and go

1739
01:44:21,479 --> 01:44:24,000
Speaker 1: for it. So yeah, but but please help me spread

1740
01:44:24,040 --> 01:44:27,479
Speaker 1: the word it is. UH is really appreciated. Whenever you

1741
01:44:27,479 --> 01:44:30,360
Speaker 1: can get my name out there to other hosts, other

1742
01:44:30,400 --> 01:44:32,920
Speaker 1: folks who have a platform that you think I should

1743
01:44:33,960 --> 01:44:38,280
Speaker 1: join in on. Next up is justin. Every time you

1744
01:44:38,320 --> 01:44:40,439
Speaker 1: bring up homeless in Malibu, all I can think is

1745
01:44:41,080 --> 01:44:47,320
Speaker 1: stay out of Malibu. Labowski. Uh, there you go, Yeah,

1746
01:44:47,560 --> 01:44:50,600
Speaker 1: the big Lebowski. I'll I'll tell you the truth. I

1747
01:44:50,600 --> 01:44:52,320
Speaker 1: I didn't think it was a great movie the first

1748
01:44:52,360 --> 01:44:54,760
Speaker 1: time I saw it. I had to see it a

1749
01:44:54,840 --> 01:44:57,080
Speaker 1: few times, and then as time went on, I liked

1750
01:44:57,080 --> 01:45:01,880
Speaker 1: it more and more. H Um, don't ever do this

1751
01:45:01,960 --> 01:45:08,559
Speaker 1: is from John. Don't ever do that teenage girl voice again. Okay, Sorry, John,

1752
01:45:09,200 --> 01:45:11,880
Speaker 1: They're not all they can all be winners. Michael. Next

1753
01:45:11,920 --> 01:45:15,840
Speaker 1: up here, Black Rifle Coffee now has decalf pods. Dude,

1754
01:45:15,960 --> 01:45:19,960
Speaker 1: I'm on it. Buck one five. It is true, folks,

1755
01:45:19,960 --> 01:45:22,920
Speaker 1: if you're now a decalf person, you can get your

1756
01:45:22,960 --> 01:45:25,679
Speaker 1: decaf coffee from Black Rifle. Go to Black Rifle Coffee

1757
01:45:25,680 --> 01:45:29,080
Speaker 1: dot com, slash buck coupon code buck one five. Make

1758
01:45:29,160 --> 01:45:34,240
Speaker 1: it happen and thank you Michael. Next up here, Live Rights.

1759
01:45:34,520 --> 01:45:39,640
Speaker 1: Just heard your Mother's Day brunch issue with frying roast potatoes,

1760
01:45:40,280 --> 01:45:45,679
Speaker 1: get an air fryer my new favorite kitchen appliance. Healthy

1761
01:45:45,760 --> 01:45:50,919
Speaker 1: way of frying adds great flavor to any food. Shields

1762
01:45:50,960 --> 01:45:55,800
Speaker 1: High Live. Um, I've never even heard Brandon. You ever

1763
01:45:55,800 --> 01:45:57,320
Speaker 1: heard of an air fryer. I've never even heard of

1764
01:45:57,320 --> 01:46:01,720
Speaker 1: an air fryer before. But I feel like I've had

1765
01:46:01,760 --> 01:46:05,320
Speaker 1: at some frou frou fancy places in New York, like

1766
01:46:05,439 --> 01:46:10,000
Speaker 1: air air fried French fries or something. I think maybe

1767
01:46:10,000 --> 01:46:12,120
Speaker 1: I'm making that up, but that sounds right anyway. Love,

1768
01:46:12,240 --> 01:46:15,240
Speaker 1: it sounds like a great suggestion. I just don't know

1769
01:46:15,240 --> 01:46:19,400
Speaker 1: anything about it, so I'll look into it and I

1770
01:46:19,439 --> 01:46:22,960
Speaker 1: will get back to you. Michael. Next up here, Buck,

1771
01:46:23,400 --> 01:46:27,600
Speaker 1: I got beef with you. Bogus Journey was no excellent adventure,

1772
01:46:28,120 --> 01:46:32,400
Speaker 1: but it's just as ridiculously awesome. Death's character was hilarious.

1773
01:46:32,439 --> 01:46:39,439
Speaker 1: It has some redeeming qualities. Station Um. You know, I

1774
01:46:39,520 --> 01:46:41,599
Speaker 1: have to go back and watch Bogus Journey. I just

1775
01:46:41,640 --> 01:46:45,840
Speaker 1: remember it being disappointing, and I was young when I

1776
01:46:45,880 --> 01:46:48,960
Speaker 1: saw it. Maybe maybe it's age better than I thought.

1777
01:46:49,000 --> 01:46:52,680
Speaker 1: But Bill and Ted's Excellent Adventures is just fantastic. I

1778
01:46:52,680 --> 01:46:57,080
Speaker 1: always like actually the scene where the dad right uh

1779
01:46:57,320 --> 01:47:05,400
Speaker 1: Ted Theodore Logan I and Bill s Preston esquire. Um,

1780
01:47:05,479 --> 01:47:08,840
Speaker 1: but when Ted's dad is who's the police chief? Or

1781
01:47:08,840 --> 01:47:10,439
Speaker 1: maybe it's Bill's dad. I forget which one has the

1782
01:47:10,439 --> 01:47:12,240
Speaker 1: police chief dat. I think it's Ted, who played by

1783
01:47:12,320 --> 01:47:16,559
Speaker 1: Keanu Reeves, and he brings the well I was gonna

1784
01:47:16,600 --> 01:47:19,200
Speaker 1: say the historical character of but he brings Sigmund Freud

1785
01:47:19,200 --> 01:47:21,920
Speaker 1: in the office and he's like, He's like, so he's like,

1786
01:47:21,960 --> 01:47:24,479
Speaker 1: tell me your name, and he's like Sigmund Freud. And

1787
01:47:24,479 --> 01:47:28,800
Speaker 1: then Freud's like, so tell me about your mother. I

1788
01:47:28,840 --> 01:47:31,280
Speaker 1: have to say, like, you know, there's some good stuff

1789
01:47:31,280 --> 01:47:33,760
Speaker 1: in there. You know, there's some good stuff in there.

1790
01:47:33,760 --> 01:47:36,599
Speaker 1: And the Napoleon character, the best part of the whole

1791
01:47:36,640 --> 01:47:39,080
Speaker 1: movie is when they take Napoleon to the water park.

1792
01:47:39,200 --> 01:47:42,280
Speaker 1: I think, I don't know why, but the guy who

1793
01:47:42,320 --> 01:47:45,640
Speaker 1: plays Napoleon actually is a pretty good look alike and

1794
01:47:45,720 --> 01:47:48,240
Speaker 1: just does a great job. It's a fun movie, man,

1795
01:47:48,320 --> 01:47:52,400
Speaker 1: it you know, it's it's crazy, but George Carlin's in it.

1796
01:47:52,439 --> 01:47:55,280
Speaker 1: If you haven't seen it, obviously it's a little bit

1797
01:47:55,320 --> 01:47:58,200
Speaker 1: out there, but I would recommend it. I think it

1798
01:47:58,280 --> 01:48:00,280
Speaker 1: is fun and you can watch what the whole thing family.

1799
01:48:01,360 --> 01:48:04,919
Speaker 1: Joe next up in roll call, Hey Buck, you mentioned

1800
01:48:05,040 --> 01:48:08,160
Speaker 1: a leaker in the White House regarding the McCain controversy,

1801
01:48:08,200 --> 01:48:12,799
Speaker 1: and I'm wondering, hasn't anyone ever heard of a polygraph?

1802
01:48:13,040 --> 01:48:16,720
Speaker 1: As a CIA alumni, don't they ever use it? If no?

1803
01:48:17,320 --> 01:48:19,640
Speaker 1: If not, why not? I was going to be an

1804
01:48:19,680 --> 01:48:22,880
Speaker 1: FBI agent after college, but I smoked some drugs and

1805
01:48:22,960 --> 01:48:26,679
Speaker 1: assumed i'd be polygraph so I didn't try. Ironic considering

1806
01:48:26,680 --> 01:48:30,719
Speaker 1: on the same age as Bill Clinton from Joe, Um,

1807
01:48:30,760 --> 01:48:34,120
Speaker 1: you know, Joe, the truth is that the polygraph is

1808
01:48:34,160 --> 01:48:38,880
Speaker 1: not the cure all for uh for lies that a

1809
01:48:38,880 --> 01:48:41,720
Speaker 1: lot of people think it is. It's as much art

1810
01:48:41,800 --> 01:48:44,799
Speaker 1: as it is science. And it also takes a trained

1811
01:48:44,800 --> 01:48:51,639
Speaker 1: polygrapher to apply the darned thing, so it's not that easy. Um.

1812
01:48:51,680 --> 01:48:55,040
Speaker 1: But nonetheless, uh, yeah they could. They could probably polygraph people,

1813
01:48:55,120 --> 01:48:58,679
Speaker 1: just take a long time and to polygraph people though

1814
01:48:58,720 --> 01:49:00,960
Speaker 1: for non criminal behave if you're in the White House,

1815
01:49:01,080 --> 01:49:04,679
Speaker 1: that that would I think that would be seen rightly

1816
01:49:04,760 --> 01:49:08,160
Speaker 1: as a as a bit extreme. Next up here is Dave.

1817
01:49:09,080 --> 01:49:12,000
Speaker 1: He writes Italy is great right by the flat Iron building.

1818
01:49:12,200 --> 01:49:15,200
Speaker 1: We stay at the Hotel Henry across the street. Went

1819
01:49:15,240 --> 01:49:17,880
Speaker 1: in the city. Well, Dave, that is yes. The flat

1820
01:49:17,920 --> 01:49:21,519
Speaker 1: Iron neighborhood named for the flat Iron Building which is

1821
01:49:21,640 --> 01:49:25,360
Speaker 1: on uh the corner of twenty three where Broadway and

1822
01:49:25,479 --> 01:49:30,439
Speaker 1: Fifth Avenue, uh meet and it is or no way

1823
01:49:30,640 --> 01:49:34,400
Speaker 1: where they actually diverge, not where they meet. Um. The

1824
01:49:34,479 --> 01:49:38,760
Speaker 1: flat Iron Building was I think initially called the Fuller Building. Um,

1825
01:49:38,800 --> 01:49:41,360
Speaker 1: and it was supposed to be an office tower to

1826
01:49:41,520 --> 01:49:46,160
Speaker 1: create in in that part of Manhattan, which is roughly

1827
01:49:46,840 --> 01:49:52,080
Speaker 1: st a a new financial center. So didn't happen, but

1828
01:49:52,120 --> 01:49:53,720
Speaker 1: it is a trendy fun era. If you're ever in

1829
01:49:53,760 --> 01:49:57,320
Speaker 1: New York City, I do really recommend the flat Iron district.

1830
01:49:57,439 --> 01:49:59,960
Speaker 1: A Madison Square Park is beautiful, a lot of great

1831
01:50:00,080 --> 01:50:02,280
Speaker 1: restaurants around there, a really nice place to take a stroll.

1832
01:50:02,320 --> 01:50:04,720
Speaker 1: And if you go further west into Chelsea, if you're

1833
01:50:04,760 --> 01:50:08,880
Speaker 1: in the galleries, lots and lots of really funky and

1834
01:50:09,000 --> 01:50:11,760
Speaker 1: in some cases very very expensive and high end art galleries.

1835
01:50:12,920 --> 01:50:19,000
Speaker 1: All right, Next up we have Victor. Um, here we go,

1836
01:50:19,680 --> 01:50:25,040
Speaker 1: and hello Buck. I believe Canada has had legal sports

1837
01:50:25,080 --> 01:50:32,040
Speaker 1: gambling for many years now. Um, I did not know that, Victor. Well,

1838
01:50:32,080 --> 01:50:34,160
Speaker 1: thank you for bringing that to my attention. And yeah,

1839
01:50:34,160 --> 01:50:36,240
Speaker 1: I don't think it's destroyed Canada, so we'll be okay.

1840
01:50:36,400 --> 01:50:40,080
Speaker 1: Canadians are nice people, so sports gambling. Look, it's already

1841
01:50:40,120 --> 01:50:44,040
Speaker 1: legal here, it's just a question of uh qui bono?

1842
01:50:44,520 --> 01:50:48,920
Speaker 1: Who benefits? Is it the state? Is it the gambling houses?

1843
01:50:49,000 --> 01:50:51,200
Speaker 1: Is it bookies? Is it organized crime? You know who?

1844
01:50:51,240 --> 01:50:53,160
Speaker 1: Because there's gambling going on all the time, Like the

1845
01:50:53,200 --> 01:50:56,599
Speaker 1: stock market is just gambling with thoughts attached to it,

1846
01:50:56,960 --> 01:51:02,679
Speaker 1: gambling with research. But stocks are a form of gambling too, Alan,

1847
01:51:02,760 --> 01:51:05,400
Speaker 1: next up here, Hey Buck, you're probably too young to

1848
01:51:05,439 --> 01:51:09,839
Speaker 1: remember when the hashtag sign meant pound not hashtag. Look

1849
01:51:09,880 --> 01:51:13,920
Speaker 1: what I just did there? Uh yeah, now, imman, imagine

1850
01:51:14,080 --> 01:51:18,320
Speaker 1: using the old meaning with the current popular um meme

1851
01:51:19,400 --> 01:51:23,879
Speaker 1: hashtag me too. That would create quite a stir. Alan,

1852
01:51:25,560 --> 01:51:28,720
Speaker 1: get your mind out of the gutters, sir, Eric, next

1853
01:51:28,840 --> 01:51:31,880
Speaker 1: up here, Oh man, you cracked me up with your

1854
01:51:31,880 --> 01:51:36,040
Speaker 1: spot on imitation of that Mike quickly character Well, I

1855
01:51:36,080 --> 01:51:38,200
Speaker 1: have no proof of that assertion. But can you prove

1856
01:51:38,280 --> 01:51:40,960
Speaker 1: my no proof assertion is unproven, sir? I think not.

1857
01:51:41,680 --> 01:51:44,320
Speaker 1: Your show is great for the analysis, but the hilarious

1858
01:51:44,320 --> 01:51:47,439
Speaker 1: impressions are perfect icing for the cake. Looking forward to

1859
01:51:47,479 --> 01:51:50,519
Speaker 1: the official unveiling of the new d C gig this week,

1860
01:51:50,600 --> 01:51:52,639
Speaker 1: keep up the great work from Eric. Well, Eric, thank

1861
01:51:52,680 --> 01:51:55,679
Speaker 1: you so much. Great to have you on board and

1862
01:51:56,400 --> 01:51:58,320
Speaker 1: appreciate having you as a remember Team Buck. We've got

1863
01:51:58,360 --> 01:52:00,040
Speaker 1: a whole lot more messages here, but I can not

1864
01:52:00,800 --> 01:52:04,400
Speaker 1: get to them today, but I would just say thank

1865
01:52:04,439 --> 01:52:06,880
Speaker 1: you to all of you for writing in. Please do

1866
01:52:06,880 --> 01:52:09,720
Speaker 1: download the podcast and share it with a friend if

1867
01:52:09,720 --> 01:52:11,479
Speaker 1: you get a chance. You know, if someone's ever like, hey,

1868
01:52:11,600 --> 01:52:13,800
Speaker 1: listen to podcast, it'd be like, Oh, I listened to

1869
01:52:13,800 --> 01:52:17,600
Speaker 1: Buck Sexton's podcast. It's great, the Buck Sexton Show. The

1870
01:52:17,680 --> 01:52:20,760
Speaker 1: d C announcement is stalled still, but we'll have it

1871
01:52:20,800 --> 01:52:24,680
Speaker 1: for you soon. Until then, my friends, I know that

1872
01:52:24,800 --> 01:52:28,240
Speaker 1: we all have our our challenges, are trials and tribulations.

1873
01:52:28,280 --> 01:52:30,400
Speaker 1: But the good news is we have our orders and

1874
01:52:30,400 --> 01:52:32,920
Speaker 1: we know the way forward, and as always it is

1875
01:52:32,920 --> 01:52:36,480
Speaker 1: shields high.