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

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Speaker 1: you subscribe to the podcast on the iHeart Radio app

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Speaker 1: or wherever you get your podcasts. I bring you good

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Speaker 1: news from sunny Florida, my friends, and some of you

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Speaker 1: will obviously be able to hear. I'm at Sepak having

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Speaker 1: a bit of a reunion with so many of my

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Speaker 1: freedom loving friends and colleagues. Here. It's day one. It's

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Speaker 1: relatively calm, but I know it's going to fill up

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Speaker 1: with thousands and thousands of folks. Florida for a New

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Speaker 1: Yorker right now is the closest thing I think you

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Speaker 1: can have as an American to fleeing East Berlin for

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Speaker 1: West Berlin circa nineteen sixty five. You get down here

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Speaker 1: and there's mask requirements. You get down here and there

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Speaker 1: are people who are taking precautions, they're social distancing, but

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Speaker 1: there's a difference in overall feeling where you're going forward

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Speaker 1: with your life. You're gonna you're gonna keep operating your store,

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Speaker 1: You're gonna keep showing up for work. People are going

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Speaker 1: to keep moving forward, and it's just such a difference.

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Speaker 1: It's amazing feeling it all around you. You You see it

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Speaker 1: going on, and I gotta tell you, I'm I feel

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Speaker 1: like I worked for the Florida Tourism Board every time

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Speaker 1: I come down here. But Ron de Santists deserves so

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Speaker 1: much credit for this. Has done such an excellent job

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Speaker 1: and in the face of unbelievable pressure and criticism, let's seepac.

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Speaker 1: I'll have more stories for you tomorrow on this one.

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Speaker 1: Right now, it's just the very very beginnings of it.

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Speaker 1: President Trump, former President Trump, pardon me, will be appearing

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Speaker 1: here and talking about the future of the GOP. So

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Speaker 1: there's a lot that we'll have to discuss about this,

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Speaker 1: But I wanted to start with racism and fake racism

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Speaker 1: and how fake racism can ruin lives. Now. I went

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Speaker 1: to a college called Amherst. Amherst is in central Massachusetts.

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Speaker 1: I bring this up because it is very left wing,

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Speaker 1: but not as left wing as some of the other

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Speaker 1: schools in the neighborhood, notably Hampshire College, UMass Amherst, which

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Speaker 1: is an entirely different school for who doesn't know that's

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Speaker 1: a state school for the University of Massachusetts, and Smith College.

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Speaker 1: I know quite a bit about Smith College because I

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Speaker 1: had a girlfriend who was a Smith attendee, and I

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Speaker 1: can tell you that Smith is like living in an

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Speaker 1: alternate universe. Smith College in Northampton, Massachusetts is the most

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Speaker 1: far left place I think I've ever been in my life.

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Speaker 1: And that includes somebody. That's somebody who grew up in

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Speaker 1: New York City and has lived in Greenwich Village and

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Speaker 1: has lived in Washington, DC, which voted ninety four percent

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Speaker 1: for Joe Biden this last time around. Smith is all

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Speaker 1: the campus lunacy that we talk about. It's like it's

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Speaker 1: concentrated in one place, and it's the center now of

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Speaker 1: a national level story over race and class and wokeness.

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Speaker 1: And this reminds me very much of some of the

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Speaker 1: similar situations that happened while I was a student there.

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Speaker 1: Now going on twenty years ago, it's been quite a

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Speaker 1: while since I was at Amherst College, at a little

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Speaker 1: stint at the CIA popped into a rock and Afghanistan

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Speaker 1: started a media career. Thank you Glenn Beck and Rush Limbaugh,

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Speaker 1: and now here I am. But I remember what it

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Speaker 1: was like at Smith back in the day. I remember

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Speaker 1: how ideologically driven so many people were, and it was

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Speaker 1: really the totalitarianism of wokeness that we're experiencing every day

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Speaker 1: that was only in places like Smith twenty years ago,

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Speaker 1: to the extent that you're seeing it now, where it

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Speaker 1: doesn't matter what the facts are. It doesn't actually matter

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Speaker 1: what the truth of any situation may be. What matters

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Speaker 1: is does this help the cause? It is very Soviet

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Speaker 1: in a sense. I mentioned before what it's like to

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Speaker 1: travel from east to West Berlin or the closest thing

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Speaker 1: to it for an American today, and that is going

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Speaker 1: from a lockdown, a core lockdown place like New York

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Speaker 1: City and finding yourself in Florida. I'm an Orlando obviously

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Speaker 1: for seedpac But the Soviet Union was a place where

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Speaker 1: the truth didn't matter, the facts didn't matter. There was

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Speaker 1: the storyline that the people in power demanded, and if

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Speaker 1: you deviated from it, you well, in that case, of course,

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Speaker 1: could be sent to the Gulag, you could be executed.

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Speaker 1: I mean, it was worse than it is here. I'm

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Speaker 1: not saying it's the same, but the mentality is similar.

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Speaker 1: And the erosion of freedom that we've had, really the

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Speaker 1: threat to freedom, the damage to freedom that has occurred

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Speaker 1: in the last year in America is unlike anything else

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Speaker 1: we've ever experienced. So I do think it's legitimate. I

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Speaker 1: do think it's fair for us to sit around and say,

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Speaker 1: hold on a second, how much more of this can

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Speaker 1: we take before we are crossing that rubicon? And have

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Speaker 1: we already crossed it? In somebodys Are we on a

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Speaker 1: glide path now toward a near totalitarian state? I know

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Speaker 1: it's a scary thought. And you could say, oh, that's

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Speaker 1: We're still a country with rule of law, and we're

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Speaker 1: still a country where things, you know, you still have

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Speaker 1: constitutional protection. How long are you going to have that for?

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Speaker 1: Do we really think that that just injuries? You really

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Speaker 1: think that that continues no matter who's in charge, who's

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Speaker 1: in power. In fact, if you look at the totalitarianisms

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Speaker 1: of the twentieth century, they arose out of periods of

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Speaker 1: liberal reform. They arose from democracies. People didn't expect it

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Speaker 1: to happen in the Soviet Union. The didn't expect it

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Speaker 1: to happen in Nazi Germany, or rather they didn't know

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Speaker 1: what was going to happen. I think of the Soviet Revolution,

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Speaker 1: people they don't study it in school. I mean, I

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Speaker 1: really believe that, you know, academics want Americans to be

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Speaker 1: ignorant of socialism and the history of socialism throughout the

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Speaker 1: twentieth century, obviously starting with Karl Marx went well before them,

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Speaker 1: but then into the twentieth century totalitarianisms, because if you

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Speaker 1: know about these things, you're terrified of them and you

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Speaker 1: want to fight them with everything you've got. If you

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Speaker 1: understand what it is from history to live in a

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Speaker 1: society where the truth does not matter, then you understand

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Speaker 1: how much you have to fight to prevent us from

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Speaker 1: descending into that. And that then brings me to the

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Speaker 1: Soviet style absurdity of what happened at Smith College. Now

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Speaker 1: I know this place well. I can tell you that

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Speaker 1: there are there are dorms there, There are dormitories that

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Speaker 1: are segregated by sexual preference and by or sexual orientation

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Speaker 1: or whatever we're supposed to say. Now to the point

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Speaker 1: where you'd think, well that that can't be that complicated,

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Speaker 1: well it actually does get very complicated very quickly, because

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Speaker 1: there are a lot of different preferences and a lot

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Speaker 1: of different self identifications that go into it. I could

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Speaker 1: not even begin to tell you how many different sexual

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Speaker 1: orientations are represented on the Smith College campus. I'm being serious.

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Speaker 1: I have absolutely no idea because there are so many

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Speaker 1: and they're constantly changing, right there are new ones that

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Speaker 1: come up, and you're not allowed to you're not allowed

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Speaker 1: to say, hold on a second, is that is that good?

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Speaker 1: Is that healthy? Is that moral? You can't ask any

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Speaker 1: of those questions. If you do, you're a bigot. You're

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Speaker 1: a bigot. You see, the the wokeness has been weaponized

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Speaker 1: in our society. That's what you're experiencing now. The terms

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Speaker 1: that they've been building up over many years, the frameworks

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Speaker 1: for assaulting people verbally, professionally destroying their lives. They've gotten stronger,

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Speaker 1: they've gotten more, and now they feel flush with power.

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Speaker 1: Now they feel like they can get away with whatever

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Speaker 1: they have to, whatever they need to. And we're experiencing

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Speaker 1: that right now, and we don't have a particularly powerful

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Speaker 1: counter voice. We don't have somebody who can step up

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Speaker 1: and say enough. It feels like there's a void on

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Speaker 1: our side. And yes, that is certainly a large part

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Speaker 1: of it is the absence of Rush Limbaugh right now.

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Speaker 1: So I understand the concerns that people have. I understand

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Speaker 1: the feeling that we seem like we can't win this fight.

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Speaker 1: But we can. We will. First though, we have to

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Speaker 1: establish what it is that's going on, and that brings

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Speaker 1: me back to Smith College specifically. Inside this is the

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Speaker 1: New York Times piece Inside a battle over race, class

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Speaker 1: and power at Smith, a student said she was racially

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Speaker 1: profiled while eating in a college dorm. An investigation found

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Speaker 1: no evidence of bias, but the evidence, but the incident

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Speaker 1: will not fade away. That headline gives you a pretty

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Speaker 1: good overview of what happened at Smith College. But here's

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Speaker 1: a shorter, better version of it. A black female student

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Speaker 1: at Smith claimed there was racism when there was no racism,

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Speaker 1: even went so far as to lie about who was

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Speaker 1: even involved in the alleged incident. Ruined lives, got people threatened,

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Speaker 1: people's people's livelihoods destroyed, and there was absolutely absolutely no

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Speaker 1: consequences or punishment for her whatsoever. The only people who

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Speaker 1: suffered were the innocent. The only people who had any

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Speaker 1: downside in this whole situation were those who did nothing wrong,

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Speaker 1: including thirty plus year employees of this college. Overrun by

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Speaker 1: psycho libs, completely destroyed by wokeness. And it's really a

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Speaker 1: perfect example of what the modern American college campus is.

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Speaker 1: And I want you all to think about this before

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Speaker 1: you get to the point where you're going to send

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Speaker 1: your child, send your son, your daughter to a now

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Speaker 1: seventy thousand dollars a year boondoggle at a place like

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Speaker 1: Smith it is an unseerious place ethically, intellectually, the same

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Speaker 1: thing as true of Amer's College, where I went, by

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Speaker 1: the way, unserious places hard to get into academically for

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Speaker 1: some people, not as hard for others. That's a whole

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Speaker 1: other conversation. In fact, not hard at all, depending on

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Speaker 1: who you are. But how did a completely innocent person

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Speaker 1: get destroyed at Smith College? How did fake racism ruin lives? Well,

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Speaker 1: that's the story we have to tell now. This is

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Speaker 1: the Buck Sexton Show podcast. Follow fuck on Facebook, Instagram,

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Speaker 1: and Twitter. Here's the tale from the New York Times

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Speaker 1: story by Michael Powell in the midsummer of twenty eighteen,

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Speaker 1: Umu Kanuete, a black student at Smith College, recounted a

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Speaker 1: distressing American tale. She was eating lunch and a dorm

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Speaker 1: lounge when a janitor and a campus police officer walked

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Speaker 1: over and asked her what she was doing there. The officer,

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Speaker 1: who could have been carrying a lethal weapon, left her

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Speaker 1: near meltdown. These are quotes from a Miss Kanawate wrote

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Speaker 1: on her Facebook saying this encounter continued a year long

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Speaker 1: pattern of harassment at Smith. All I did was b black.

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Speaker 1: Kanoete wrote, It's outrageous that some people question my being

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Speaker 1: at Smith College and my existence overall as a woman

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Speaker 1: of color. The college's president, Kathleen McCartney, offered profuse apologies

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Speaker 1: and put the janitor on paid leave. This painful incident

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Speaker 1: reminds us of the ongoing legacy of racism and bias,

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Speaker 1: the president wrote, in which people of color are targeted

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Speaker 1: whilst simply going about the business of their ordinary lives.

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Speaker 1: The New York Times, the Washington Post, and CNN picked

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Speaker 1: up the story of a young black female student harassed

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Speaker 1: by white workers the American Civil Liberties Union, which took

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Speaker 1: the student's case that she was profiled for quote eating

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Speaker 1: while black. Less attention was paid three months later, when

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Speaker 1: a law firm hired by Smith College to investigate the

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Speaker 1: episode found no persuasive evidence of bias. Miss Counterwetday was

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Speaker 1: determined to have eaten in a deserted dorm that had

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Speaker 1: been closed for the summer. The janitor had been encouraged

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Speaker 1: to notify the security on campus if he saw unauthorized

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Speaker 1: people there, and the officer, like all campus police, was unarmed.

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Speaker 1: The whole thing was a lie. Very important that you

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Speaker 1: know this right away. The whole thing was a lie.

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Speaker 1: There was no profiling, there was no racism. And it

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Speaker 1: gets worse actually than this. It's it's even worse than

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Speaker 1: you think. Smith College officials were emphasizing reconciliation and healing

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Speaker 1: after the incident, The New York Times rights. In the

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Speaker 1: months to come, they announced a raft of anti bias

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Speaker 1: training for all staff, a revamped and more sensitive campus

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Speaker 1: police force, and the creation of dormitories set aside for

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Speaker 1: black students and other students of color. End quote. That's

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Speaker 1: a that's a thing that continues to happen in these campuses.

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Speaker 1: There are dorms that are segregated at the request of,

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Speaker 1: at the demand of minority students, and in some cases

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Speaker 1: at my college, at Amherst College, which is right down

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Speaker 1: the road from Smith, and they you can take all

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Speaker 1: classes at one. You can take all the classes from

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Speaker 1: one when you're at the other. So there is a

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Speaker 1: lot a crossover at these schools. And Smith is an

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Speaker 1: all women's college. Although I'm being serious, I don't know

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Speaker 1: how they describe that now, because there are gender fluid

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Speaker 1: people who attend Smith who are not biological females. So

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Speaker 1: they've they've eliminated gender from the student constitution. I'm serious.

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Speaker 1: So I didn't even know it's all women, except it's

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Speaker 1: not all women. That's the best way I could put

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Speaker 1: it to you. And that's just a biological fact. So

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Speaker 1: this situation, this story, reminds me of so many things

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Speaker 1: that I saw going on when I was on campus.

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Speaker 1: And it's not surprising at all that this is how

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Speaker 1: the administrators, the cowardly administrators, acted about all of this.

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Speaker 1: Because here's part of the problem. Not only was there

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Speaker 1: no bias, This student, miss Kannowete, wrote on her Facebook

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Speaker 1: page and put a photo up. She docks a worker

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Speaker 1: whom she thought, I mean, you really at again in

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Speaker 1: the details of the story, she thought was the person

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Speaker 1: who called the police or campus police, and she was wrong.

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Speaker 1: She docks the wrong person. She thought a cafeteria worker

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Speaker 1: was the one who said that she you know, who

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Speaker 1: called security on her. So let's go down the list here.

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Speaker 1: Remember this is a big national story, and the list

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Speaker 1: is there was no bias found in the incident, whatsoever.

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Speaker 1: This woman, miss Kennoete, was eating in a dorm that

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Speaker 1: was closed for the summer. She should not have been there,

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Speaker 1: She was not allowed to be there under the rules

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Speaker 1: of the college. She just decided she was gonna open

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Speaker 1: it for herself and lounge out and hang out and

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Speaker 1: do the whole thing right. She was laying out over

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Speaker 1: over some benches or couches or something and in a

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Speaker 1: dark room, in a dark uh I think it actually

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Speaker 1: is a lounge room, and a custodian, a janitor saw

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Speaker 1: her and did exactly what he was supposed to do,

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Speaker 1: which they said, call security, And so unarmed security showed

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Speaker 1: up and said, hey, you know, what are you supposed

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Speaker 1: to what are you doing here? And she wasn't supposed

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Speaker 1: to be there, and security had a nice polite conversation

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Speaker 1: or they said, hey, can you go to one of

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Speaker 1: the other dorms. This dorm is closed. I mean, this

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Speaker 1: is the equivalent of, you know, somebody like at a

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Speaker 1: at a stadium or something. You know, if one of

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Speaker 1: the security guys comes up to you says, oh, you know,

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Speaker 1: you're actually in twenty four A and need to be

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Speaker 1: in twenty four C. Could you move over? Because here

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Speaker 1: are some other You know, this is a nothing burger event.

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Speaker 1: This is nothing. But here's what you have to know.

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Speaker 1: This black female student at Smith College, miss Kanuete, she

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Speaker 1: knows the rules of the game now, and she knows, Ah,

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Speaker 1: I don't like this. I might have been embarrassed for

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Speaker 1: a moment by this for whatever reason, because I wasn't

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Speaker 1: supposed to be there. But the rules don't really apply

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Speaker 1: to me because I'm oppressed. I'm special, you see, and

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Speaker 1: I have a lot of power as long as I

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Speaker 1: play the right card. And so she did. She said

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Speaker 1: that she was terrified because the officer might have had

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Speaker 1: a weapon, but all campus officers are unarmed at Smith,

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Speaker 1: and she would know that she's a student there, and

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Speaker 1: she could also see when somebody has a gun as

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Speaker 1: a police officer, you know, you can see it on them.

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Speaker 1: There was no weapon. This was just somebody who walked up.

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Speaker 1: It was a security guard. Basically, he said, hey, this

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Speaker 1: dorm is closed. She went on a rampage online and

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Speaker 1: she decided that she was going to get even the

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Speaker 1: Smith College president who makes half a million dollars a

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Speaker 1: year in salary, five hundred k plus folks and also

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Speaker 1: all kinds of benefits and basically just goes to cocktail

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Speaker 1: parties and give speeches that people write on occasion. That's all,

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Speaker 1: that's her job. She decided it was time to go

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Speaker 1: full woke and throw people under the bus. They put

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Speaker 1: the janitor who couldn't even see if miss Kannoete was

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Speaker 1: male or female on leave, and because they had a

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Speaker 1: transcript of the phone call. You're not going to believe

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Speaker 1: what Knawete decided to do when the transcript of the

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Speaker 1: phone call came out. Get ready for it. You're in

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Speaker 1: the freedom hunt. Thanks for listening to the Buck Sexton

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Speaker 1: Show podcast. Get the latest from Buck at buck sexton

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Speaker 1: dot com How fake racism destroys lives. You can consider

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Speaker 1: this a one oh one class today based on this

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Speaker 1: story at Smith College. And again, I am here at Spack,

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Speaker 1: So if you hear any commotion in the background, it's

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Speaker 1: because I'm at Spack in Orlando, Florida and just getting

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Speaker 1: a taste of being in a free state like Florida

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Speaker 1: instead of a lockdown state like New York. It's pretty

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Speaker 1: pretty remarkable, it's pretty amazing. But now I have to

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Speaker 1: get back into this really troubling story that is I

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Speaker 1: think that the single, the single most upsetting story of

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Speaker 1: abuse of this new weaponization of racism claims that you

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Speaker 1: see going on, and it happens on a regular basis.

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Speaker 1: We all know this stuff happens. And here you have

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Speaker 1: Smith College, a Bucolic all women's college, although I don't

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Speaker 1: know if they say that anymore, because that so gender fluid,

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Speaker 1: and there's you know, gender is just a state of

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Speaker 1: mind and all that stuff. And I know this place

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Speaker 1: very well. I tried to convince my little sister that

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Speaker 1: it wasn't really for her. She went and visited, and

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Speaker 1: then she managed to find on her own that it

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Speaker 1: was not a place where a rational person would want

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Speaker 1: to spend four years. It is, by the way, I'll

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Speaker 1: tell you this beautiful town, Northampton, great food, beautiful town.

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Speaker 1: The winners there are very cold and snowy, but also

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Speaker 1: quite lovely in their own way. But Smith has been

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Speaker 1: ruined by ideology. It used to be that Amherst was

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Speaker 1: a men's college where I went, and Smith was a

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Speaker 1: women's college as well as Holyoak, and the people would

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Speaker 1: go to school there and they would often find their

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Speaker 1: their future spouse there and that was the system. And

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Speaker 1: then Amherst went co ed and Smith and Holyoak went

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Speaker 1: in a different direction, not quite co ed, but not

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Speaker 1: quite not co ed. I don't know what you'd I

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Speaker 1: don't know how to describe it exactly. So this story

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Speaker 1: that I've been telling you, you you have this, this student

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Speaker 1: who claimed bias at a very minor incident where everything

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Speaker 1: was by the book. There was nothing, there was nothing

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Speaker 1: that was in any way, and a law firm that

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Speaker 1: specializes in bias investigations did a full, full look into

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Speaker 1: this and said, there's nothing here, nothing here, nothing, but

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Speaker 1: nothing happened, there was no incident. But we've so trained

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Speaker 1: people today, especially people who are gen Z, people who

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Speaker 1: are millennials, We've so trained them to look to look

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Speaker 1: for bias where none exists, because they recognize it as

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Speaker 1: a lever of power. It's a tool that can be used,

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Speaker 1: it makes people feel good. It's a form of reverse bullying.

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Speaker 1: And that's exactly what happened here. You have the college

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Speaker 1: president making five hundred k plus a year. You have

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Speaker 1: a student who decided that she was the target of

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Speaker 1: a race of a racist incident where there was no

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Speaker 1: reason to believe that that was the case. And you

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Speaker 1: also have a student who I would be very curious

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Speaker 1: to know is she paying tuition? How much tuition is

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Speaker 1: she paying? Was she in any way assisted as a

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Speaker 1: diversity admit to the school? You know, these are the

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Speaker 1: questions that if we're really going to have a fair

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Speaker 1: and equitable college admissions process, shouldn't we be able to

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Speaker 1: know some of these things? Shouldn't we abill to know

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Speaker 1: what the advantage is in the admissions process for people

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Speaker 1: who have a particular background, by the way, including legacies,

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Speaker 1: including athletes, but also including the advantages of race in admissions,

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Speaker 1: which we all know are very real there. It's actually

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Speaker 1: an enormous advantage. And if you have parents from Molly

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Speaker 1: from what is Northwest Africa, which miss which this student does, Kennet,

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Speaker 1: Miss kene Wete, then that's a that's a tremendous advantage

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Speaker 1: in the admissions process too. So she's going to a

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Speaker 1: school where she was admitted in part likely it's likely

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Speaker 1: that she was admitted in part because of the advantage

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Speaker 1: of her race, because it is true that there is

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Speaker 1: a racial advantage in admissions in colleges. We know that

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Speaker 1: that's a fact. It's established. Screame Court looks at it.

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Speaker 1: I know people don't like to talk about it. It's true,

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Speaker 1: this happens not if you're Asian. If you're Asian, too bad.

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Speaker 1: You know, it's rough for you. But Democrats don't need

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Speaker 1: to create the same framework of disadvantage for you. They're

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Speaker 1: they're not they're not claiming that you're so deeply oppressed.

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Speaker 1: And so this is the other part of this though,

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Speaker 1: that really that really got my attention. You have It's remarkable,

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Speaker 1: miss Kinda when the transcript because the custodian, the janitor

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Speaker 1: called in to student security, or to a campus security

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Speaker 1: rather called then and said, you know that I couldn't

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Speaker 1: tell if it was a male or female because didn't

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Speaker 1: even look, just knew that somebody was in a dark

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Speaker 1: lounge area of a closed off dorm, and the and

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Speaker 1: the advice and look, these campuses are very open to

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Speaker 1: the public. There are there are vagrants, and there are

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Speaker 1: people that are you know, trespassing and are not supposed

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Speaker 1: to be there. That does happen. I had a very

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Speaker 1: dear friend who was attacked in her bed by a

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Speaker 1: local of some of some sort. And you know, I

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Speaker 1: remember running around the building when I when I found

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Speaker 1: out what had happened, trying to find this guy. Uh,

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Speaker 1: you know, there there are incidents that happened even in

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Speaker 1: a sleepy town like this. But what ended up happening

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Speaker 1: here that I thought was so interesting was that she

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Speaker 1: found out that this guy didn't know her gender and

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Speaker 1: said he because he because he couldn't see into the

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Speaker 1: room and it was dark. He assumed it was a

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Speaker 1: he that that she was upset that she was misgendered.

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Speaker 1: That was another part of the complaint. Later on, she

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Speaker 1: was misgendered. Oh yes, I'm sure this guy on purpose

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Speaker 1: did that. Right. This janitor who's been working at the

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Speaker 1: college for years and years, who and it's written the article,

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Speaker 1: is making forty thousand dollars a year. Okay, this guy

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Speaker 1: is just this is your average every day American working hard.

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Speaker 1: And I know what those janitors. I became very good

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Speaker 1: friends with the janitor at Amer's College, particularly my junior year.

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Speaker 1: I lived in a dorm called cross It, and I

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Speaker 1: remember having talks with him, I mean about the stuff

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Speaker 1: that he would have to you know, I know, I

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Speaker 1: don't want to be gross, but college kids act like savages,

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Speaker 1: Okay they do. And you know this is somebody's dad.

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Speaker 1: I mean, he was a wife and kids. He was

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Speaker 1: cleaning up vomit and urn and all the time, all

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Speaker 1: the time, these little brats would act like that. And

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Speaker 1: you know, he was getting paid. He was supposed to

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Speaker 1: be getting paid to, you know, make sure the facilities

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Speaker 1: look nice and everything functions, and to change light bulbs

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Speaker 1: when necessary. And and instead a lot of his job was,

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Speaker 1: you know, cleaning up the vomit and urine of privileged

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Speaker 1: brats and hooting woke privilege brats in particular, I might add.

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Speaker 1: So you know, this is this is another instance here

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Speaker 1: where the facts do not matter. As I've told you now,

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Speaker 1: there was no reason to believe there was bias. There

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Speaker 1: was nothing about this incident that has any connection to

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Speaker 1: what a rational person would think is racist or is wrong.

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Speaker 1: But it didn't matter. That's the other part of this.

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Speaker 1: Smith College still put the janitor on paid leave. Another

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Speaker 1: woman who was a cafeteria worker, Cannowete, decided that she

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Speaker 1: was going to out her because she didn't realize who

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Speaker 1: it was at first who called security. And so what

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Speaker 1: ended up happening was she she uh said the wrong

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Speaker 1: and said the wrong person, she gave the wrong name.

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Speaker 1: It's really awful, really awful. So you know, this is

428
00:25:59,359 --> 00:26:01,200
Speaker 1: student work. By the way, just just to give you

429
00:26:01,280 --> 00:26:03,440
Speaker 1: some more of the details here, student workers were not

430
00:26:03,440 --> 00:26:06,280
Speaker 1: supposed to use the Tyler cafeteria, which was reserved for

431
00:26:06,720 --> 00:26:10,919
Speaker 1: a camp for summer children. That's why you weren't supposed

432
00:26:10,920 --> 00:26:13,840
Speaker 1: to have students in these different in some of the cafeterias,

433
00:26:13,880 --> 00:26:18,240
Speaker 1: some of these areas, and the summer camp area was

434
00:26:18,600 --> 00:26:21,239
Speaker 1: off limits. That was the whole, the whole thing here.

435
00:26:21,320 --> 00:26:23,040
Speaker 1: But even the janitors knew that if they had to

436
00:26:23,160 --> 00:26:25,600
Speaker 1: enforce any of these rules, they were in trouble. We

437
00:26:25,760 --> 00:26:27,680
Speaker 1: used to joke, don't let her rich student report you,

438
00:26:27,760 --> 00:26:30,480
Speaker 1: because if you do, you're gone. Mark Patanade said, he's

439
00:26:30,520 --> 00:26:34,360
Speaker 1: a janitor. Miss Knoette took her food and walked through

440
00:26:34,359 --> 00:26:36,960
Speaker 1: a set of French doors, crossed a foyer, reclined in

441
00:26:37,000 --> 00:26:39,639
Speaker 1: the shadowed lounge of a dormitory close for the summer,

442
00:26:40,119 --> 00:26:42,720
Speaker 1: where she scrolled the webb. As she ate, a large

443
00:26:42,800 --> 00:26:46,120
Speaker 1: stuffed bear obscured the view of her from the cafeteria.

444
00:26:46,160 --> 00:26:47,560
Speaker 1: So it was kind of a lounge off of a

445
00:26:47,640 --> 00:26:51,160
Speaker 1: cafeteria in a dorm It's complicated, but but she thought

446
00:26:51,200 --> 00:26:55,520
Speaker 1: that somebody else was the one who called security. It

447
00:26:55,640 --> 00:26:58,040
Speaker 1: was a janitor. She thought it was a different person,

448
00:26:58,840 --> 00:27:02,960
Speaker 1: and she out of that person. Miss Blair, the cafeteria worker,

449
00:27:03,000 --> 00:27:06,280
Speaker 1: received an email from a reporter at The Boston Globe

450
00:27:06,320 --> 00:27:08,320
Speaker 1: asking her to comment on why she called secure to

451
00:27:08,359 --> 00:27:12,719
Speaker 1: him Miss Kennoete for quote eating while black. That puzzled her,

452
00:27:12,840 --> 00:27:15,240
Speaker 1: The author writes here, what did she have to do

453
00:27:15,359 --> 00:27:19,000
Speaker 1: with this? The food services director called the next morning, Jackie,

454
00:27:19,080 --> 00:27:22,359
Speaker 1: He said, you're on Facebook. She found that Miss Kennoeta

455
00:27:22,440 --> 00:27:27,399
Speaker 1: had posted her photograph, name and email. This is the

456
00:27:27,600 --> 00:27:30,720
Speaker 1: racist person, Miss Kannoeta wrote of Miss Blair, adding that

457
00:27:30,840 --> 00:27:34,760
Speaker 1: Miss Patnade, mister Paternada, rat of the janitor, was also guilty.

458
00:27:35,480 --> 00:27:37,320
Speaker 1: He in fact worked an early shift that day and

459
00:27:37,359 --> 00:27:39,800
Speaker 1: had already gone home at the time of the incident.

460
00:27:40,640 --> 00:27:44,439
Speaker 1: Miss Kennoeta also lashed out of the Smith administration, They're

461
00:27:44,520 --> 00:27:50,040
Speaker 1: essentially enabling racist, cowardly acts. Miss Blair. Again, the entirely

462
00:27:50,119 --> 00:27:52,240
Speaker 1: innocent party who did not call the police had nothing

463
00:27:52,320 --> 00:27:54,080
Speaker 1: to do with this, Okay, Just to be very clear,

464
00:27:54,359 --> 00:27:56,840
Speaker 1: person was just doing her job working as a cafeteria worker,

465
00:27:57,119 --> 00:27:59,520
Speaker 1: making you know, thirty seven thirty eight grand year whatever

466
00:27:59,600 --> 00:28:03,080
Speaker 1: it is. She has Lupa's a disease of the immune

467
00:28:03,080 --> 00:28:06,280
Speaker 1: system and stress triggers episodes, shed up going to the

468
00:28:06,359 --> 00:28:09,520
Speaker 1: hospital because of all this. I mean, you just go

469
00:28:09,640 --> 00:28:11,600
Speaker 1: through this and you know what it is. You have

470
00:28:12,480 --> 00:28:18,399
Speaker 1: a couple of white working class, hard working of employees

471
00:28:18,440 --> 00:28:23,080
Speaker 1: of Smith College totally thrown under the bus by the

472
00:28:23,280 --> 00:28:27,080
Speaker 1: five hundred thousand all year white female president of Smith College,

473
00:28:27,200 --> 00:28:32,480
Speaker 1: very privileged person, because a black female student decided that

474
00:28:32,640 --> 00:28:35,520
Speaker 1: she was going to have some fun with weaponizing a

475
00:28:35,720 --> 00:28:40,000
Speaker 1: racism accusation. This isn't just about Smith College for those

476
00:28:40,040 --> 00:28:42,080
Speaker 1: who aren't a wise buck spending so much time today

477
00:28:42,120 --> 00:28:46,600
Speaker 1: on one school in Massachusetts. And yes there's some nostalgia

478
00:28:46,640 --> 00:28:48,000
Speaker 1: for me because I spent a lot of time there

479
00:28:48,040 --> 00:28:49,400
Speaker 1: and have a lot of stories I can tell you

480
00:28:49,440 --> 00:28:53,320
Speaker 1: about that place, bizarre ones. But it's because this is

481
00:28:53,360 --> 00:28:57,240
Speaker 1: actually now corporate culture too. This is across the whole country.

482
00:28:57,880 --> 00:29:00,440
Speaker 1: This is what wokeness means. It doesn't matter if you

483
00:29:00,440 --> 00:29:03,200
Speaker 1: didn't do anything wrong. It's a conversation we need to have.

484
00:29:03,320 --> 00:29:05,720
Speaker 1: They'll tell you. It doesn't matter if you are just

485
00:29:06,000 --> 00:29:09,440
Speaker 1: enforcing the rules as they're supposed to be. You offended

486
00:29:09,480 --> 00:29:12,320
Speaker 1: somebody who's a minority. Are protected minority because remember some

487
00:29:12,400 --> 00:29:15,960
Speaker 1: minorities are protected and others aren't. Doesn't matter what the

488
00:29:16,000 --> 00:29:18,920
Speaker 1: truth is, doesn't matter what you did. All that matters

489
00:29:18,960 --> 00:29:23,320
Speaker 1: in this is that the wokeness gets to pick people

490
00:29:23,400 --> 00:29:27,960
Speaker 1: to destroy. It's about power. It's about power for people

491
00:29:28,000 --> 00:29:30,160
Speaker 1: who claim they don't have it, but they know that

492
00:29:30,280 --> 00:29:34,400
Speaker 1: as long as they play this game, they do and

493
00:29:34,520 --> 00:29:38,480
Speaker 1: they enjoy it, they get they get a thrill out

494
00:29:38,520 --> 00:29:42,760
Speaker 1: of it. Ruining the lives of working class people who

495
00:29:42,840 --> 00:29:45,200
Speaker 1: are who are cleaning up, who are literally cleaning up

496
00:29:45,320 --> 00:29:48,200
Speaker 1: vomit and throw up, and the mess that these brats

497
00:29:48,320 --> 00:29:51,760
Speaker 1: leave behind all the time. Get them death threats online,

498
00:29:51,840 --> 00:29:54,400
Speaker 1: which happened to the cafeteria worker and the jender. Get

499
00:29:54,440 --> 00:29:58,520
Speaker 1: them death threats online, make them unemployable, and other jobs

500
00:29:58,600 --> 00:30:01,960
Speaker 1: they try to look for, which also happened because a

501
00:30:02,120 --> 00:30:05,200
Speaker 1: black female student didn't like being told you're not actually

502
00:30:05,240 --> 00:30:07,320
Speaker 1: supposed to be eating in here, Could you please go

503
00:30:07,400 --> 00:30:10,680
Speaker 1: to the other cafeteria. That's the America we actually live

504
00:30:10,720 --> 00:30:15,800
Speaker 1: in today. That's reality. That's what wokeness is. That's what

505
00:30:15,920 --> 00:30:18,640
Speaker 1: this story is. Don't forget it, because this is what

506
00:30:18,760 --> 00:30:23,120
Speaker 1: we're contending with now. This is instead instead of Soviet

507
00:30:23,800 --> 00:30:30,240
Speaker 1: class struggle, we have Soviet style racial Marxism in this country. Now,

508
00:30:31,080 --> 00:30:36,000
Speaker 1: that's what's happening, and it's destroying us, it's pulling us apart.

509
00:30:36,440 --> 00:30:40,040
Speaker 1: This is the Buck Sexton Show podcast. Join the conversation

510
00:30:40,200 --> 00:30:44,360
Speaker 1: and message Buck on Facebook, Instagram, or email Team Bucket

511
00:30:44,480 --> 00:30:47,680
Speaker 1: iHeartMedia dot com. He may read it on the show. Well,

512
00:30:47,720 --> 00:30:51,360
Speaker 1: look at this a news story breaking today. Actually that

513
00:30:51,560 --> 00:30:53,880
Speaker 1: is tying in with exactly what we've been or some

514
00:30:54,040 --> 00:30:57,000
Speaker 1: of what we've been talking about. In the last hour.

515
00:30:57,720 --> 00:31:02,600
Speaker 1: Supreme Court asked to outlaw race based college admissions. A

516
00:31:02,760 --> 00:31:07,800
Speaker 1: group challenging Harvard admissions policies says it files an appeal

517
00:31:07,880 --> 00:31:12,200
Speaker 1: asking the Court over the two thousand and three Grutter decision.

518
00:31:13,400 --> 00:31:17,479
Speaker 1: This is Gruttter v. Bollinger. This is uh, this is excellent.

519
00:31:18,280 --> 00:31:20,120
Speaker 1: Supreme Court has now been has not been asked to

520
00:31:20,160 --> 00:31:22,720
Speaker 1: outlaw race based admissions. Let's be very clear about this.

521
00:31:22,800 --> 00:31:28,760
Speaker 1: The Supreme Court should absolutely outlaw race based admissions. Okay,

522
00:31:28,960 --> 00:31:33,400
Speaker 1: there's there's no good faith way to, no good faith

523
00:31:33,480 --> 00:31:38,760
Speaker 1: way to argue that this isn't an Equal Protection clause violation.

524
00:31:38,800 --> 00:31:42,160
Speaker 1: Of course, it's an Equal Protection clause violation. And the

525
00:31:42,520 --> 00:31:44,760
Speaker 1: way that this is finally coming to the forefront. I

526
00:31:44,800 --> 00:31:50,080
Speaker 1: think is because of Asian Americans and their treatment in

527
00:31:50,240 --> 00:31:53,040
Speaker 1: this whole process, because if we have you know, you're

528
00:31:53,080 --> 00:31:56,640
Speaker 1: always told that there's this system of white supremacy, that's

529
00:31:56,680 --> 00:31:59,120
Speaker 1: what they'll say, a system of white supremacy in America.

530
00:31:59,480 --> 00:32:03,440
Speaker 1: And they've been expanded that term white supremacy tremendously, right,

531
00:32:03,480 --> 00:32:06,800
Speaker 1: They've expanded it a whole heck of a lot, so

532
00:32:06,960 --> 00:32:10,520
Speaker 1: that now it includes things that no reasonable person before

533
00:32:10,600 --> 00:32:14,680
Speaker 1: would have ever thought constitutes white supremacy. I mean, they

534
00:32:14,680 --> 00:32:17,920
Speaker 1: wouldn't have thought that, right, But now it's whatever they

535
00:32:17,960 --> 00:32:19,840
Speaker 1: say it is. It's whatever the left, whatever the woke

536
00:32:20,680 --> 00:32:27,280
Speaker 1: mob decides constitutes white supremacy, is just that. And the

537
00:32:27,400 --> 00:32:29,240
Speaker 1: problem that they have to contend with is that the

538
00:32:29,520 --> 00:32:35,080
Speaker 1: average Asian American household makes more money in America than

539
00:32:35,160 --> 00:32:39,320
Speaker 1: the average white American household does that the people who

540
00:32:39,360 --> 00:32:43,600
Speaker 1: are most overrepresented as a percentage of population in elite

541
00:32:43,680 --> 00:32:48,240
Speaker 1: colleges across the country are Asian Americans, not in fact,

542
00:32:48,400 --> 00:32:50,880
Speaker 1: white Americans. So how is it that we have a

543
00:32:50,960 --> 00:32:54,760
Speaker 1: system that they tell us is dedicated to the perpetuation

544
00:32:54,920 --> 00:33:00,120
Speaker 1: the elevation, unfair elevation of one race in America? But

545
00:33:00,240 --> 00:33:04,000
Speaker 1: that's not even accurate based on the facts about who

546
00:33:04,160 --> 00:33:07,400
Speaker 1: is the most elevated as a percentage of population in

547
00:33:07,480 --> 00:33:09,960
Speaker 1: elite institutions and when it comes to household wealth and

548
00:33:10,480 --> 00:33:14,320
Speaker 1: things of that nature. How is that possible? How can

549
00:33:14,440 --> 00:33:19,320
Speaker 1: you argue, for example, that Hispanic and Latino of Americans

550
00:33:19,960 --> 00:33:22,080
Speaker 1: or Hispanic or Latino I refuse to use this term

551
00:33:22,160 --> 00:33:26,360
Speaker 1: latin x. I've actually never met a Latino or Hispanic

552
00:33:26,440 --> 00:33:29,240
Speaker 1: person who likes the term Latin X. So I think

553
00:33:29,280 --> 00:33:33,360
Speaker 1: that's always that's always a tell. But how is it

554
00:33:33,480 --> 00:33:37,560
Speaker 1: that you can explain at Harvard, at Stanford, at you name,

555
00:33:37,600 --> 00:33:40,720
Speaker 1: at University of Michigan. That's where the Grutter v. Bollinger

556
00:33:40,800 --> 00:33:45,160
Speaker 1: decision was, University of Michigan. How can you explain the

557
00:33:47,400 --> 00:33:52,560
Speaker 1: situation where Asian Americans are discriminated against, but Latino Americans

558
00:33:52,680 --> 00:33:56,440
Speaker 1: get a they get a benefit in the admissions process.

559
00:33:57,840 --> 00:34:00,480
Speaker 1: Why is that fair? There's no leg a see of

560
00:34:00,560 --> 00:34:05,360
Speaker 1: slavery to discuss when you're talking about Latino Latino applicants. So,

561
00:34:06,440 --> 00:34:09,279
Speaker 1: and also what really constitutes even being in one of

562
00:34:09,320 --> 00:34:12,800
Speaker 1: these categories. Another problem they have is that categories like

563
00:34:13,080 --> 00:34:17,960
Speaker 1: white and Latino, and and even a category like black,

564
00:34:18,760 --> 00:34:23,080
Speaker 1: there are so many variations within these categories. So you know,

565
00:34:23,160 --> 00:34:25,800
Speaker 1: being African American is a is a different thing, and

566
00:34:25,960 --> 00:34:28,480
Speaker 1: you have had a different experience than being somebody who

567
00:34:28,560 --> 00:34:37,320
Speaker 1: comes from Nigeria or Molly or Cameroon. Right, it's a

568
00:34:37,480 --> 00:34:41,640
Speaker 1: different thing. You've had a different experience. Being a white

569
00:34:41,760 --> 00:34:45,200
Speaker 1: person can be somebody who grew up, you know, on

570
00:34:45,680 --> 00:34:48,600
Speaker 1: Martha's vineyard, for Heaven's sakes, or you could be somebody

571
00:34:48,680 --> 00:34:54,040
Speaker 1: who is very light skinned from northern Iraq or Afghanistan.

572
00:34:54,640 --> 00:34:58,400
Speaker 1: There are Caucasians in fact, throughout much of the Western

573
00:34:58,480 --> 00:35:01,759
Speaker 1: Eurasia who are just as white as anybody else, and

574
00:35:02,640 --> 00:35:04,759
Speaker 1: you know, in terms of their actual skin, you'd see

575
00:35:04,800 --> 00:35:06,840
Speaker 1: them and say, well, they're they're white, and they have

576
00:35:06,960 --> 00:35:10,960
Speaker 1: all kinds of oppression and problems that they've had to

577
00:35:11,040 --> 00:35:15,239
Speaker 1: deal with, systemic problems. These categories are so messy as

578
00:35:15,320 --> 00:35:19,160
Speaker 1: to be meaningless, except they're not about fair, They're about power.

579
00:35:20,880 --> 00:35:24,120
Speaker 1: You're listening to the Buck Sexton Show podcast. Make sure

580
00:35:24,160 --> 00:35:26,839
Speaker 1: you subscribe to the podcast on the iHeart radio app

581
00:35:27,080 --> 00:35:30,440
Speaker 1: or wherever you get your podcasts. I'm here at Seepack,

582
00:35:30,680 --> 00:35:33,160
Speaker 1: which is fun because I get to see buddies of

583
00:35:33,239 --> 00:35:35,759
Speaker 1: mine that I usually get to interact with on a

584
00:35:35,880 --> 00:35:38,560
Speaker 1: virtual level. I get to have them call in or

585
00:35:38,719 --> 00:35:43,040
Speaker 1: join by Skype or whatever. But Ben Ferguson of The

586
00:35:43,120 --> 00:35:46,120
Speaker 1: Ben Ferguson Show is here with me, and Ben I

587
00:35:46,160 --> 00:35:49,319
Speaker 1: gotta tell everybody you. You were supposed to bring your

588
00:35:49,440 --> 00:35:52,400
Speaker 1: tennis rackets so we could play, and I did not

589
00:35:52,520 --> 00:35:54,800
Speaker 1: bring mine. So the good news is I let you

590
00:35:54,880 --> 00:35:56,279
Speaker 1: off the hook by the way I should have played

591
00:35:56,280 --> 00:35:58,080
Speaker 1: it up. I should have seen like I was devastating

592
00:35:58,120 --> 00:35:59,920
Speaker 1: when you walked up me, like I forgot my rackets,

593
00:36:00,400 --> 00:36:03,279
Speaker 1: and I was relieved because I forgot mine too. But

594
00:36:03,440 --> 00:36:05,239
Speaker 1: I should have held you on the hookback, dude, I

595
00:36:05,320 --> 00:36:07,600
Speaker 1: had a court at two o'clock for us. I did

596
00:36:07,680 --> 00:36:09,239
Speaker 1: not play that well. I was too nice to you.

597
00:36:10,200 --> 00:36:12,560
Speaker 1: Two guys with side parts who like to play tennis,

598
00:36:12,640 --> 00:36:15,759
Speaker 1: not go So what's it? What's it feel like for you?

599
00:36:15,880 --> 00:36:18,600
Speaker 1: I want to know one thing. When you leave New

600
00:36:18,680 --> 00:36:23,040
Speaker 1: York City and you arrive in Florida, Yes, there's some

601
00:36:23,080 --> 00:36:25,319
Speaker 1: different rules and regulations. A people are still wearing masks

602
00:36:25,360 --> 00:36:26,759
Speaker 1: here a lot and everything. But when you leave New

603
00:36:26,840 --> 00:36:29,239
Speaker 1: York City and you get to Florida, you feel like

604
00:36:30,280 --> 00:36:32,000
Speaker 1: this is kind of what normal life feel it's not

605
00:36:32,080 --> 00:36:34,200
Speaker 1: quite normal here, but this is close. It's a lot

606
00:36:34,360 --> 00:36:37,719
Speaker 1: closer to normal than anywhere else. How does it compare

607
00:36:38,000 --> 00:36:40,880
Speaker 1: to to Texas and to Tennessee, to other states that

608
00:36:40,960 --> 00:36:42,880
Speaker 1: you spend a lot of you where you're from a

609
00:36:42,920 --> 00:36:46,360
Speaker 1: lot of time. So in in Tennessee, the state, the

610
00:36:46,480 --> 00:36:49,200
Speaker 1: governor there, Governor Lee, has done a great job of saying, hey,

611
00:36:49,680 --> 00:36:52,880
Speaker 1: we're gonna be pro business, pro opening up. We're not

612
00:36:52,960 --> 00:36:55,160
Speaker 1: gonna hold you back. We're gonna get we want to

613
00:36:55,200 --> 00:36:56,920
Speaker 1: get the kids back to school. The problem is in

614
00:36:57,120 --> 00:37:00,919
Speaker 1: big cities like Nashville and Memphis, they have their own

615
00:37:01,080 --> 00:37:04,160
Speaker 1: health departments, so by law they get to make their rules.

616
00:37:04,200 --> 00:37:07,680
Speaker 1: The governor can't overrun them. So they've been like no, no, no,

617
00:37:07,920 --> 00:37:10,799
Speaker 1: we shut down here. Like our restaurant was twenty five

618
00:37:10,840 --> 00:37:13,239
Speaker 1: percent occupancy until like two weeks ago. No one can

619
00:37:13,280 --> 00:37:16,240
Speaker 1: make a living do that. We're gonna lose the Area

620
00:37:16,600 --> 00:37:20,440
Speaker 1: Restaurant Association. They believe that we'll probably lose at least

621
00:37:20,680 --> 00:37:23,120
Speaker 1: forty percent of restaurants that will never open again. Like

622
00:37:23,640 --> 00:37:27,040
Speaker 1: close here, the keys back, we're done, we've lost our business.

623
00:37:27,120 --> 00:37:29,319
Speaker 1: We're done. Same thing in Houston. You've got you've got

624
00:37:29,520 --> 00:37:32,759
Speaker 1: a mayor. They're hard core liberal right, big defund the

625
00:37:32,800 --> 00:37:37,000
Speaker 1: police guy, you know, black lives matter, riots, protests, let's

626
00:37:37,040 --> 00:37:40,080
Speaker 1: you know, and again a guy that has said no, no, no,

627
00:37:40,280 --> 00:37:43,239
Speaker 1: I have control. I'm gonna shut us down. We're not

628
00:37:43,280 --> 00:37:46,160
Speaker 1: gonna have bars open, We're not gonna have tourism, We're

629
00:37:46,200 --> 00:37:47,880
Speaker 1: not gonna have sports, We're not gonna have it. I

630
00:37:47,960 --> 00:37:51,000
Speaker 1: mean they have, they have suffocated these cities, and we're

631
00:37:51,000 --> 00:37:53,319
Speaker 1: gonna lose their thirty five They think thirty five percent

632
00:37:53,360 --> 00:37:56,239
Speaker 1: of the restaurants will never reopen. How far down like

633
00:37:56,840 --> 00:38:00,480
Speaker 1: estimate for us? Because I know you own a barbecue restaurant.

634
00:38:00,719 --> 00:38:02,560
Speaker 1: And when the world opens, I've promised Band that I'm

635
00:38:02,640 --> 00:38:05,480
Speaker 1: actually go and try his brisket and I'm going to

636
00:38:05,560 --> 00:38:09,120
Speaker 1: compare it to the best Brooklyn hipster brisket. And I'm

637
00:38:09,160 --> 00:38:11,680
Speaker 1: gonna be ruthless about this. I will. There are very

638
00:38:11,719 --> 00:38:14,240
Speaker 1: few things I feel confident about a life. Buck There's

639
00:38:14,280 --> 00:38:16,600
Speaker 1: two of them. One that my serve is going to

640
00:38:16,680 --> 00:38:20,440
Speaker 1: be better than yours, and to the brisket. The brisket

641
00:38:20,640 --> 00:38:24,239
Speaker 1: is going to be better than Brooklyn. I feel very

642
00:38:24,360 --> 00:38:28,279
Speaker 1: confident in those two things. So first of all, don't

643
00:38:28,280 --> 00:38:29,759
Speaker 1: worry if you beat me a tennis, I'll beat you

644
00:38:29,840 --> 00:38:33,000
Speaker 1: in pink the obviously we're paddle sports guys. That's the

645
00:38:33,040 --> 00:38:35,200
Speaker 1: way it has to go. And second of all, um,

646
00:38:36,640 --> 00:38:40,640
Speaker 1: I just feel like the barbecue wars among various parts

647
00:38:40,640 --> 00:38:42,600
Speaker 1: of this country is one of the few places where

648
00:38:43,320 --> 00:38:47,000
Speaker 1: everybody is everyone's sort of convinced that if only you

649
00:38:47,120 --> 00:38:51,920
Speaker 1: try the best of my regional variety, you will so

650
00:38:52,120 --> 00:38:54,400
Speaker 1: I I it's funny. I'm a I'm an advocate for

651
00:38:54,440 --> 00:38:56,840
Speaker 1: the barbecue world. It's a lost art. It is a

652
00:38:57,080 --> 00:39:00,239
Speaker 1: it is is truly art. And there are there are

653
00:39:00,520 --> 00:39:02,520
Speaker 1: people that I will take you to go see, and

654
00:39:02,600 --> 00:39:05,919
Speaker 1: it's amazing who have built their own smokers their way,

655
00:39:06,480 --> 00:39:09,400
Speaker 1: who cook their way, who show up at two in

656
00:39:09,480 --> 00:39:11,520
Speaker 1: the morning and do it their way. There are some

657
00:39:11,640 --> 00:39:15,880
Speaker 1: of the most amazing places that may disappear because of COVID.

658
00:39:16,000 --> 00:39:18,279
Speaker 1: Right that I will take you two when you come

659
00:39:18,320 --> 00:39:20,759
Speaker 1: to Memphis. But the restaurant industry in general, I think

660
00:39:20,760 --> 00:39:22,880
Speaker 1: that's where you're at going kind of like, what do

661
00:39:22,960 --> 00:39:25,279
Speaker 1: you do? I mean, look at our employees. They're underemployed

662
00:39:25,400 --> 00:39:28,080
Speaker 1: right now, right I think Democrats were in favor of

663
00:39:28,120 --> 00:39:32,319
Speaker 1: a living wage. We're underemployed because we've had employees, We've

664
00:39:32,320 --> 00:39:34,120
Speaker 1: had to shift hours around it. We've had to lay

665
00:39:34,200 --> 00:39:36,879
Speaker 1: off people, We've had to say we don't have enough hours. Fore,

666
00:39:36,880 --> 00:39:38,239
Speaker 1: if you got to get a job somewhere else, get

667
00:39:38,239 --> 00:39:40,720
Speaker 1: a job somewhere else. I'm sorry, because when you operate

668
00:39:40,760 --> 00:39:43,719
Speaker 1: at twenty five percent for months on end, you don't

669
00:39:43,760 --> 00:39:46,000
Speaker 1: need a full staff. You can't afford a full staff.

670
00:39:46,120 --> 00:39:47,919
Speaker 1: I can only serve twenty five percent of the food

671
00:39:47,920 --> 00:39:52,400
Speaker 1: I was serving before, and so this is destroyed those

672
00:39:53,080 --> 00:39:56,520
Speaker 1: hourly workers. And we pay above average wages that are

673
00:39:56,560 --> 00:39:59,719
Speaker 1: at my restaurant, something I care about, and I want

674
00:39:59,719 --> 00:40:02,080
Speaker 1: to make sure that people are not struggling. You get

675
00:40:02,120 --> 00:40:03,960
Speaker 1: you go. I want to be a good employer, but

676
00:40:04,040 --> 00:40:06,000
Speaker 1: I've had to look at him going. I cannot employ

677
00:40:06,080 --> 00:40:07,560
Speaker 1: you if you need to leave, I understand it. I

678
00:40:07,640 --> 00:40:10,080
Speaker 1: can't give you forty hours because you would have to

679
00:40:10,920 --> 00:40:13,000
Speaker 1: shut down. Yeah, and no one can make money at

680
00:40:13,040 --> 00:40:15,960
Speaker 1: twenty five percent. I mean, I didn't realize barbecue has

681
00:40:16,000 --> 00:40:18,080
Speaker 1: good margins, right it's I mean it does. It has

682
00:40:18,160 --> 00:40:21,880
Speaker 1: good margins because you have a very simple menu. You

683
00:40:21,960 --> 00:40:23,560
Speaker 1: don't have a lot of items on that menu. You

684
00:40:23,600 --> 00:40:26,080
Speaker 1: don't have a lot of loss. Right if we cook

685
00:40:26,120 --> 00:40:28,000
Speaker 1: briskets and we run out, we were proud of that.

686
00:40:28,440 --> 00:40:30,480
Speaker 1: We put a huge sign up says out of brisket, right,

687
00:40:30,480 --> 00:40:32,200
Speaker 1: we run out of ribs for the day, we run

688
00:40:32,280 --> 00:40:35,520
Speaker 1: out of ribs. That happens, right, No, and it does.

689
00:40:35,560 --> 00:40:37,120
Speaker 1: But it's kind of like a rite of passage, like, man,

690
00:40:37,200 --> 00:40:39,640
Speaker 1: our stuff's good, we run out all the time, and

691
00:40:39,840 --> 00:40:42,000
Speaker 1: so there's no there. It's a good margin, becauess, but

692
00:40:42,120 --> 00:40:45,280
Speaker 1: there's no business that can run at twenty five percent.

693
00:40:45,800 --> 00:40:47,360
Speaker 1: How long do you think they're going to continue that?

694
00:40:47,360 --> 00:40:49,960
Speaker 1: Because my, my big we just went to fifty percent

695
00:40:50,040 --> 00:40:52,799
Speaker 1: with no reason behind it, just arbitrary number. Like, well,

696
00:40:52,840 --> 00:40:54,640
Speaker 1: this is what I'm saying, because because in New York

697
00:40:54,960 --> 00:40:57,720
Speaker 1: they just went from I make I make jokes about

698
00:40:57,760 --> 00:41:01,400
Speaker 1: how stupid the lockdowns are, and and now I'm actually concerned.

699
00:41:01,400 --> 00:41:04,560
Speaker 1: It's almost like Governor Cuomo listens to my show or

700
00:41:04,680 --> 00:41:07,360
Speaker 1: something and goes, you know what, just to be a jackass,

701
00:41:07,520 --> 00:41:10,320
Speaker 1: I'm gonna do the thing the opposite of what he'll do,

702
00:41:10,400 --> 00:41:12,319
Speaker 1: the thing that I've been making fun of. For real.

703
00:41:12,800 --> 00:41:14,759
Speaker 1: So I've been saying, because I said, why we open

704
00:41:14,800 --> 00:41:17,719
Speaker 1: at twenty five percent? Why not twenty seven point five percent.

705
00:41:17,800 --> 00:41:20,080
Speaker 1: You know, throw the margin right if this is based

706
00:41:20,120 --> 00:41:22,480
Speaker 1: on science and the numbers shouldn't be rounded. They did,

707
00:41:22,600 --> 00:41:24,799
Speaker 1: they did thirty five percent. Now they've gone from twenty

708
00:41:24,840 --> 00:41:27,000
Speaker 1: five to thirty five, not even fifty. And I'm like, well,

709
00:41:27,080 --> 00:41:29,520
Speaker 1: why stop there? When's the forty percent opening? I mean,

710
00:41:29,640 --> 00:41:33,400
Speaker 1: it's all such arbitrary crap. And and my my concern

711
00:41:34,080 --> 00:41:36,799
Speaker 1: is that people don't understand. Yes, they're going to let

712
00:41:36,920 --> 00:41:38,959
Speaker 1: up on this for a little bit once the weather

713
00:41:39,080 --> 00:41:40,839
Speaker 1: gets better. In all these places the cases are going

714
00:41:40,920 --> 00:41:43,719
Speaker 1: way down, but they think that they have the right

715
00:41:43,840 --> 00:41:48,959
Speaker 1: to reinstitute this, and there will be arasolis virus next

716
00:41:49,040 --> 00:41:51,719
Speaker 1: winter time. There will be and might seem there, but

717
00:41:51,719 --> 00:41:53,520
Speaker 1: it might be might. By the way, how do we

718
00:41:53,640 --> 00:41:56,880
Speaker 1: handle flu? The flu has basically been eradicated according to CDC.

719
00:41:57,239 --> 00:41:59,440
Speaker 1: Where did it go? Where did it go? The fluist

720
00:41:59,480 --> 00:42:02,239
Speaker 1: has been around, so we're to believe And I want

721
00:42:02,239 --> 00:42:03,600
Speaker 1: to be very clear, because you know, I get I

722
00:42:03,640 --> 00:42:05,319
Speaker 1: don't know if you've had this. I've been attacked by

723
00:42:05,400 --> 00:42:08,920
Speaker 1: the PolitiFact and those maniacs were just saying, yeah, of

724
00:42:08,960 --> 00:42:12,359
Speaker 1: course the stories on how I'm telling partially true things.

725
00:42:12,400 --> 00:42:16,160
Speaker 1: I'm like, also, known as seeing reality. But the flu

726
00:42:16,320 --> 00:42:19,640
Speaker 1: is somehow gone. The flu will come back. I mean

727
00:42:19,680 --> 00:42:21,960
Speaker 1: when I say somehow, that's just what they say. This

728
00:42:22,200 --> 00:42:26,160
Speaker 1: is the masking and social distancing obviously didn't work very

729
00:42:26,200 --> 00:42:28,440
Speaker 1: well this winter time overall. I mean you could say

730
00:42:28,440 --> 00:42:29,960
Speaker 1: it worked a little bit if you want, but clearly

731
00:42:30,000 --> 00:42:32,560
Speaker 1: we said all time records for debts and flu though

732
00:42:32,719 --> 00:42:35,960
Speaker 1: is gone. These things will come back then at some level,

733
00:42:36,320 --> 00:42:39,280
Speaker 1: and there will be a knee jerk reaction in places,

734
00:42:39,440 --> 00:42:42,120
Speaker 1: even in places like Nashville, even place you look at

735
00:42:42,160 --> 00:42:44,879
Speaker 1: Blue states and they're gonna be shutting down barbecue joins again,

736
00:42:45,040 --> 00:42:47,400
Speaker 1: mark my word. The people that are making the decisions

737
00:42:47,440 --> 00:42:49,719
Speaker 1: these health parts, they're elected by no one. They're appointed,

738
00:42:49,840 --> 00:42:52,759
Speaker 1: which bothers me. Right, you've got Cuomo and others, right,

739
00:42:53,000 --> 00:42:55,400
Speaker 1: But the people under them that all of a sudden

740
00:42:55,480 --> 00:42:57,840
Speaker 1: got this power to shut down America, they're not elected

741
00:42:57,840 --> 00:43:00,759
Speaker 1: by anybody. The health department that can shut down your business,

742
00:43:00,800 --> 00:43:02,640
Speaker 1: that can find you thousands of dollars, that can take

743
00:43:02,680 --> 00:43:05,800
Speaker 1: away your business license are elected by no one. And

744
00:43:05,920 --> 00:43:08,400
Speaker 1: the nut and these rules. I'll just give you example.

745
00:43:08,560 --> 00:43:14,160
Speaker 1: We November December, they said twenty five percent occupancy. Then

746
00:43:14,200 --> 00:43:17,839
Speaker 1: they said but you, Buck Sexton, cannot sit the same

747
00:43:17,920 --> 00:43:20,360
Speaker 1: table with Ben Ferguson. If you don't live in the

748
00:43:20,400 --> 00:43:22,080
Speaker 1: same household, you're not allowed to sit together. And we

749
00:43:22,160 --> 00:43:25,600
Speaker 1: had to check IDs. My father and I could make

750
00:43:25,760 --> 00:43:29,520
Speaker 1: barbecue together all day at our restaurant. We could prepare briskets,

751
00:43:29,560 --> 00:43:32,560
Speaker 1: trim briskets, put on firewood, work side by side all

752
00:43:32,600 --> 00:43:34,680
Speaker 1: day long. But if we want to eat lunch together,

753
00:43:34,840 --> 00:43:36,319
Speaker 1: we're not allowed to eat lunch toge at the same

754
00:43:36,320 --> 00:43:39,360
Speaker 1: table because we don't live at the same address. So

755
00:43:39,520 --> 00:43:41,800
Speaker 1: the rule they made was on top of the twenty

756
00:43:41,840 --> 00:43:44,480
Speaker 1: five percent rule, the tables also had to be at

757
00:43:44,560 --> 00:43:47,399
Speaker 1: least six feet apart, which took us below twenty five

758
00:43:47,400 --> 00:43:51,520
Speaker 1: percent occupancy, even if their twenty five number. So we're like,

759
00:43:51,520 --> 00:43:53,000
Speaker 1: all right, just which one is it? Is it six

760
00:43:53,080 --> 00:43:57,000
Speaker 1: ft apart? Is it six feet apart or twenty five percent?

761
00:43:57,320 --> 00:43:59,520
Speaker 1: Or is it I can't eat with anybody I don't

762
00:43:59,560 --> 00:44:01,560
Speaker 1: live with. And then they said another arbitrary where they

763
00:44:01,600 --> 00:44:04,719
Speaker 1: threw in there you can have no more than two adults,

764
00:44:05,560 --> 00:44:10,360
Speaker 1: no more than two adults at the same table. So

765
00:44:10,560 --> 00:44:13,640
Speaker 1: now is it two adults? Is it twenty five percent occupancy?

766
00:44:13,719 --> 00:44:15,759
Speaker 1: Is it six feet apart is that we can't live

767
00:44:15,800 --> 00:44:18,680
Speaker 1: in the same house on which one isn't I'm trying

768
00:44:18,719 --> 00:44:21,040
Speaker 1: to figure it out. So this is this is the

769
00:44:21,080 --> 00:44:23,160
Speaker 1: other part of it that I try to tell everybody

770
00:44:23,239 --> 00:44:26,399
Speaker 1: that there there was also something of a glee, at

771
00:44:26,440 --> 00:44:29,439
Speaker 1: least in New York for the people that were making

772
00:44:29,480 --> 00:44:32,640
Speaker 1: these decisions that they were really important all of a sudden,

773
00:44:33,239 --> 00:44:36,719
Speaker 1: really powerful, really and you see this from some of

774
00:44:36,800 --> 00:44:39,759
Speaker 1: the some of the decision making that was going on,

775
00:44:40,280 --> 00:44:43,920
Speaker 1: where they would say things like we're going to we're

776
00:44:43,920 --> 00:44:47,440
Speaker 1: gonna go out there and do deterrence enforcement, meaning we're

777
00:44:47,480 --> 00:44:51,279
Speaker 1: gonna we're gonna pick people and nail them because you're

778
00:44:51,320 --> 00:44:53,040
Speaker 1: not doing enough of what we say. I mean, when

779
00:44:53,080 --> 00:44:55,880
Speaker 1: you're talking about industries, restaurants is the one that's most

780
00:44:55,920 --> 00:44:58,400
Speaker 1: don't but also the hotel industry, and they're sending out

781
00:44:58,440 --> 00:45:00,239
Speaker 1: it in New York City, which is you know, it's

782
00:45:00,280 --> 00:45:02,560
Speaker 1: also regionalized that even though this is a you know,

783
00:45:02,640 --> 00:45:05,880
Speaker 1: a show that's on in all fifty states, Um, you know,

784
00:45:06,320 --> 00:45:08,000
Speaker 1: we all know our own we all know our own

785
00:45:08,320 --> 00:45:11,440
Speaker 1: you know, nightmarish lockdown reality and in some places, I know,

786
00:45:11,480 --> 00:45:13,520
Speaker 1: it's much worse than it is than others. But they

787
00:45:13,560 --> 00:45:16,480
Speaker 1: would send in New York. They would send out sheriff's

788
00:45:16,840 --> 00:45:19,400
Speaker 1: deputies for the City of New York. People didn't I

789
00:45:19,480 --> 00:45:22,320
Speaker 1: worked for the MYPD and't even heard of the Sheriff's

790
00:45:22,360 --> 00:45:24,920
Speaker 1: department where they come from. They sent out some law

791
00:45:25,040 --> 00:45:27,480
Speaker 1: enforcement agency that has a few hundred people that work

792
00:45:27,560 --> 00:45:28,839
Speaker 1: for it that are part of the sort of New

793
00:45:28,920 --> 00:45:30,840
Speaker 1: York State, but the New York City version of the

794
00:45:30,880 --> 00:45:34,840
Speaker 1: New York State sheriffs. And they were giving people enormous

795
00:45:34,960 --> 00:45:39,400
Speaker 1: fines in restaurants that were struggling to just barely keep

796
00:45:39,440 --> 00:45:43,680
Speaker 1: their doors open. Fifteen one hundred dollars fines for a

797
00:45:43,880 --> 00:45:47,080
Speaker 1: dropped mask. I don't know if you guys saw this,

798
00:45:47,200 --> 00:45:50,239
Speaker 1: but we i've noticed this. They picked restaurants that would

799
00:45:50,280 --> 00:45:53,960
Speaker 1: get great press for the enforcement. We had restaurants that

800
00:45:54,040 --> 00:45:56,160
Speaker 1: were kind of iconic restaurants that were getting picked on,

801
00:45:56,560 --> 00:45:58,960
Speaker 1: and it's like they decided, Hey, if we can nail

802
00:45:59,040 --> 00:46:01,279
Speaker 1: that up to headline, right, if we can go to

803
00:46:01,480 --> 00:46:04,359
Speaker 1: that restaurant that everybody knows, it will get on the news.

804
00:46:04,960 --> 00:46:08,840
Speaker 1: And that's how they picked the restaurant was how famous

805
00:46:09,000 --> 00:46:11,520
Speaker 1: is it, how historic is it, what part of town

806
00:46:11,680 --> 00:46:14,000
Speaker 1: is it in? Do people know that restaurant. Is it

807
00:46:14,080 --> 00:46:16,719
Speaker 1: a significant restaurant with a chef that people would know?

808
00:46:17,080 --> 00:46:19,600
Speaker 1: So we get a headline that will come after everyone

809
00:46:20,120 --> 00:46:25,840
Speaker 1: it's sick. This is the Buck Sexton Show Podcast. Follow

810
00:46:25,960 --> 00:46:29,960
Speaker 1: Buck on Facebook, Instagram, and Twitter. All right, back with

811
00:46:30,080 --> 00:46:34,040
Speaker 1: my buddy Ben Ferguson, who is a various dude political observer,

812
00:46:34,200 --> 00:46:36,359
Speaker 1: but is delusional about being able to hit a harder

813
00:46:36,400 --> 00:46:39,239
Speaker 1: first serup on the tennis court than me. So so, Ben,

814
00:46:40,200 --> 00:46:44,640
Speaker 1: remember there's spacetime, and there's there's Zoom, there's Facebook. We

815
00:46:44,719 --> 00:46:47,880
Speaker 1: can we can fix it. It's just we could do it,

816
00:46:48,000 --> 00:46:50,160
Speaker 1: and I'm fine with you. I'm fine with you actually

817
00:46:50,200 --> 00:46:52,120
Speaker 1: having a festive serveup, but just if I have some

818
00:46:52,360 --> 00:46:56,560
Speaker 1: kind of like a minor, you know, breath heaving cardiac

819
00:46:56,680 --> 00:46:59,719
Speaker 1: event five minutes into our our one set tennis match,

820
00:47:00,080 --> 00:47:01,840
Speaker 1: we gotta cut that. You play sets still? Oh, I

821
00:47:01,920 --> 00:47:05,479
Speaker 1: just sit down the middle, see the same I played

822
00:47:05,520 --> 00:47:07,239
Speaker 1: a ten off the ground. You know, we're gonna get

823
00:47:07,320 --> 00:47:10,000
Speaker 1: ripped by everyone all across the country because they there

824
00:47:10,040 --> 00:47:11,400
Speaker 1: are people that still seem to think that when you're

825
00:47:11,400 --> 00:47:14,040
Speaker 1: got again, we're basically both forty now that we're supposed

826
00:47:14,040 --> 00:47:15,880
Speaker 1: to be out there like playing like you know, tackle

827
00:47:15,960 --> 00:47:18,840
Speaker 1: football or something. No one's played football since college, and

828
00:47:18,920 --> 00:47:21,520
Speaker 1: if you think they have, you're weird. Lying. Yeah, it's

829
00:47:21,560 --> 00:47:24,080
Speaker 1: flag since with your kids it does not happening, Like

830
00:47:24,080 --> 00:47:25,880
Speaker 1: why are you guys playing tennis? It's like, oh, do

831
00:47:25,920 --> 00:47:28,160
Speaker 1: you want to play golf? This is what I literally laugh,

832
00:47:28,280 --> 00:47:30,000
Speaker 1: can't handle it. So when I went to Ole Miss,

833
00:47:30,200 --> 00:47:32,640
Speaker 1: my roommate was guy named Kevin. He played football oh

834
00:47:32,760 --> 00:47:35,719
Speaker 1: line at Ole Miss. One of the biggest men you'll

835
00:47:35,760 --> 00:47:38,000
Speaker 1: ever see. So I knock on the door and I

836
00:47:38,000 --> 00:47:39,719
Speaker 1: don't know who he is, right, we get it was

837
00:47:39,719 --> 00:47:42,920
Speaker 1: an athletic dorm. Got down there, and so I knocked

838
00:47:42,920 --> 00:47:44,640
Speaker 1: on the door and this guy answers the door. My

839
00:47:44,719 --> 00:47:46,680
Speaker 1: dad's sitting behind me. My dad's in law enforcement. And

840
00:47:46,760 --> 00:47:49,560
Speaker 1: this guy, who's like six seven, looks at me and

841
00:47:49,800 --> 00:47:52,160
Speaker 1: says to me, what the blank do you want? And

842
00:47:52,280 --> 00:47:54,160
Speaker 1: I looked at him. I go, I'm your blanking roommate.

843
00:47:54,239 --> 00:47:56,600
Speaker 1: He's smiled, laugh because I'm just I'm just messing. When

844
00:47:56,640 --> 00:47:58,920
Speaker 1: you broke come on in. I was never been more

845
00:47:58,920 --> 00:48:00,680
Speaker 1: afraid of my entire life. So we're sitting there and

846
00:48:00,760 --> 00:48:02,759
Speaker 1: he's like that night we're talking to each other and

847
00:48:03,520 --> 00:48:06,759
Speaker 1: he goes, I gotta tell you Ferguson, I gotta tell

848
00:48:06,760 --> 00:48:08,640
Speaker 1: you my mom is not gonna believe it that I'm

849
00:48:08,680 --> 00:48:13,759
Speaker 1: living with a white dude like you. True story. So

850
00:48:13,920 --> 00:48:16,319
Speaker 1: we become my best friends and people are like, how

851
00:48:16,400 --> 00:48:18,040
Speaker 1: did you guys get roommates? It was pot It was

852
00:48:18,080 --> 00:48:20,759
Speaker 1: pot luck, right athlete athlete. They thriss together. So he

853
00:48:20,800 --> 00:48:22,200
Speaker 1: asked you what He's like, Man, I gotta ask you.

854
00:48:22,280 --> 00:48:24,360
Speaker 1: He's like, missed this tennis sport thing, like, why do

855
00:48:24,400 --> 00:48:26,240
Speaker 1: you play this? Man? It doesn't see it doesn't seem

856
00:48:26,560 --> 00:48:29,319
Speaker 1: you run around chasing a fuzzy ball. So I'll tell

857
00:48:29,320 --> 00:48:31,160
Speaker 1: you two reasons. One, I'm still gonna be doing it

858
00:48:31,200 --> 00:48:33,040
Speaker 1: in a year and a half when you're retired. He's like,

859
00:48:33,120 --> 00:48:34,759
Speaker 1: what do you mean. I was like, you're never gonna

860
00:48:34,800 --> 00:48:37,719
Speaker 1: put pads on the rest of your life after you graduate. Ever,

861
00:48:38,480 --> 00:48:41,160
Speaker 1: I can play this and tell him seventy bro. The

862
00:48:41,480 --> 00:48:44,080
Speaker 1: second reason I'm doing is because I'm not as big

863
00:48:44,120 --> 00:48:46,239
Speaker 1: as you, and no one offered me a football scholarship.

864
00:48:46,320 --> 00:48:48,760
Speaker 1: So there you go. Yeah, I wrote crew in college,

865
00:48:48,840 --> 00:48:50,480
Speaker 1: and I can tell you that that's another. Were you

866
00:48:50,520 --> 00:48:52,799
Speaker 1: an ivy leaguer, you kind of went to amorous I did,

867
00:48:52,920 --> 00:48:55,839
Speaker 1: which is which is it's like you know Williams. Yeah,

868
00:48:55,920 --> 00:48:57,880
Speaker 1: it's like Tier two of Ivy League. Is that like

869
00:48:58,000 --> 00:48:59,880
Speaker 1: you almost made it. It's a college, it's like a

870
00:49:00,080 --> 00:49:02,719
Speaker 1: different See now he's given me tough stuff because he

871
00:49:02,800 --> 00:49:04,600
Speaker 1: knows he needs to get away with what he can

872
00:49:04,760 --> 00:49:08,319
Speaker 1: before we step out of that tennis run around your life.

873
00:49:09,040 --> 00:49:11,399
Speaker 1: So I was I was going to ask you because

874
00:49:11,400 --> 00:49:13,399
Speaker 1: I know people are listening. They're like, this is just guys,

875
00:49:13,440 --> 00:49:15,439
Speaker 1: it's so rare. You gotta understand for us, for people

876
00:49:15,440 --> 00:49:17,200
Speaker 1: to see each other at CEPAC, to see your your

877
00:49:17,200 --> 00:49:20,800
Speaker 1: friends and conservative media, we've all been completely usually. I

878
00:49:20,880 --> 00:49:22,920
Speaker 1: mean we worked at CNN at the same time you

879
00:49:23,000 --> 00:49:24,960
Speaker 1: bump into people in the green rooms, you at least

880
00:49:25,000 --> 00:49:27,799
Speaker 1: you know are joining. There's been zero interaction for any

881
00:49:28,320 --> 00:49:31,160
Speaker 1: conservative media we have not seen. So if we sound

882
00:49:31,239 --> 00:49:33,640
Speaker 1: like we're you know, everyone here, and then you'll notice

883
00:49:33,680 --> 00:49:35,440
Speaker 1: this in the next couple of days at least the

884
00:49:35,480 --> 00:49:37,799
Speaker 1: people that we actually like that we see here. Um,

885
00:49:37,920 --> 00:49:40,239
Speaker 1: if it sounds like a frat party reunion the Glory days,

886
00:49:40,280 --> 00:49:42,040
Speaker 1: that's exactly what it is. Kind of what it feels

887
00:49:42,080 --> 00:49:44,879
Speaker 1: like for everybody right now here. So all right into

888
00:49:44,920 --> 00:49:47,080
Speaker 1: some serious stuffcause people listen to show to actually get

889
00:49:47,160 --> 00:49:50,520
Speaker 1: worthwhile information, not not you talk about Ben and Ben

890
00:49:50,640 --> 00:49:54,880
Speaker 1: and Buck's old glory days. UM minimum wage yep, you

891
00:49:55,680 --> 00:49:57,759
Speaker 1: going back to this. You own a small business, UM

892
00:49:58,160 --> 00:50:01,160
Speaker 1: and minimum wage going a fifth ten dollars, just to

893
00:50:01,320 --> 00:50:03,400
Speaker 1: just tell everybody, because well, well, first what do you

894
00:50:03,440 --> 00:50:05,120
Speaker 1: think about the Democrat move here, and then we'll talk

895
00:50:05,120 --> 00:50:06,960
Speaker 1: about what it actually would do to a business like yours. Well,

896
00:50:07,040 --> 00:50:08,800
Speaker 1: Democrat move here is they don't have the votes, so

897
00:50:08,840 --> 00:50:11,560
Speaker 1: they're going to do it through reconciliation, which is going

898
00:50:11,640 --> 00:50:14,320
Speaker 1: to break a crap ton of rules, right, and you

899
00:50:14,360 --> 00:50:16,360
Speaker 1: would argue laws, but they don't care. They're gonna do

900
00:50:16,360 --> 00:50:18,840
Speaker 1: it anyway. Reconciliation is only supposed to be able to

901
00:50:18,840 --> 00:50:20,800
Speaker 1: be used for budget issues, and now they're claiming that

902
00:50:20,920 --> 00:50:23,520
Speaker 1: an increasementum way is somehow budget issue, which it is not.

903
00:50:23,719 --> 00:50:25,880
Speaker 1: It never has been cleared a budget issue. It is

904
00:50:25,920 --> 00:50:28,319
Speaker 1: not a budget issue. So that's my number one problem

905
00:50:28,320 --> 00:50:29,600
Speaker 1: with this is that we're going to do this without

906
00:50:29,600 --> 00:50:33,560
Speaker 1: really anyone voting. Huge issue when you're mandating everybody in

907
00:50:33,600 --> 00:50:36,399
Speaker 1: the country that employs people, especially somewhile business owners are

908
00:50:36,520 --> 00:50:39,080
Speaker 1: going to have to pay an arbitrary random number they've

909
00:50:39,120 --> 00:50:41,279
Speaker 1: come up with, which is fifteen dollars an hour. They

910
00:50:41,400 --> 00:50:44,440
Speaker 1: claim that to living wage. The unions or who started this,

911
00:50:44,560 --> 00:50:48,239
Speaker 1: to be clear, they lost manufacturing jobs, they lost their

912
00:50:48,280 --> 00:50:50,239
Speaker 1: political muscle, and they said, where do we go next?

913
00:50:50,280 --> 00:50:52,560
Speaker 1: They said, if we can go to hospitality and the

914
00:50:52,719 --> 00:50:56,240
Speaker 1: fast food industry and those at stock shelves at grocery

915
00:50:56,239 --> 00:50:58,279
Speaker 1: stores and we can unionize those people, will get our

916
00:50:58,320 --> 00:51:00,960
Speaker 1: power back because they had all their hour and manufacturing

917
00:51:00,960 --> 00:51:03,600
Speaker 1: and that disappeared in America under Obama. So during the

918
00:51:03,680 --> 00:51:05,880
Speaker 1: Obama years, that's how this all came about. This is

919
00:51:05,880 --> 00:51:08,279
Speaker 1: one hundred percent a union play for more power. They said,

920
00:51:08,280 --> 00:51:10,760
Speaker 1: we need more members, we need more people paying dues,

921
00:51:10,960 --> 00:51:13,200
Speaker 1: and we need to have more political muscle and represent

922
00:51:13,280 --> 00:51:15,239
Speaker 1: a lot of people so we can scare the crap

923
00:51:15,280 --> 00:51:17,759
Speaker 1: out of politicians and say to them, if you do

924
00:51:17,880 --> 00:51:19,480
Speaker 1: what we tell you to do, we'll get you reelected

925
00:51:19,520 --> 00:51:22,400
Speaker 1: every time. That's what union said for years, right decades.

926
00:51:22,440 --> 00:51:24,920
Speaker 1: That's how Union boss has worked. It was thugs. It

927
00:51:25,040 --> 00:51:26,680
Speaker 1: was all right, buck, you want to run for mayor,

928
00:51:26,719 --> 00:51:29,279
Speaker 1: that's fine. You get the whole union behind you, will

929
00:51:29,320 --> 00:51:31,560
Speaker 1: campaign for you, will support you, will vote for you.

930
00:51:31,640 --> 00:51:33,600
Speaker 1: We'll get all our families before, but you got to

931
00:51:33,600 --> 00:51:37,120
Speaker 1: give us what we demand. That power disappeared from unions,

932
00:51:37,440 --> 00:51:40,560
Speaker 1: it did when the manufacturing jobs disappeared. So this is

933
00:51:40,640 --> 00:51:42,719
Speaker 1: not about what's good for America. This is what's good

934
00:51:42,760 --> 00:51:46,200
Speaker 1: for unionization. They see the potential that they can pull

935
00:51:46,280 --> 00:51:49,440
Speaker 1: this off for massive amounts of union workers in this country.

936
00:51:49,680 --> 00:51:51,480
Speaker 1: Second thing is going to happen for small bomb and

937
00:51:51,520 --> 00:51:54,719
Speaker 1: pops like me is you're just gonna cut hours. That's

938
00:51:54,760 --> 00:51:57,080
Speaker 1: what you're gonna do. It's the same exact thing we

939
00:51:57,120 --> 00:51:59,000
Speaker 1: saw happening with Obamacare. Remember when they said if you

940
00:51:59,040 --> 00:52:01,759
Speaker 1: have fifteen employees or more that you have to offer

941
00:52:01,840 --> 00:52:03,560
Speaker 1: healthcare for you if they work more than thirty one

942
00:52:03,600 --> 00:52:05,919
Speaker 1: hours a week. So what happened. People that were working

943
00:52:05,960 --> 00:52:08,000
Speaker 1: forty hours a week immediately got back cut back to

944
00:52:08,080 --> 00:52:09,560
Speaker 1: twenty nine hours a week, and we're told to go

945
00:52:09,640 --> 00:52:12,359
Speaker 1: find another eleven hours somewhere else. That just made their

946
00:52:12,440 --> 00:52:14,440
Speaker 1: life harder because now you got to go work two

947
00:52:14,480 --> 00:52:16,600
Speaker 1: hour two jobs. You're gonna have at least an hour

948
00:52:16,640 --> 00:52:18,920
Speaker 1: in between if you even find something matches up. So

949
00:52:19,040 --> 00:52:21,840
Speaker 1: you had millions of Americans that became under employed overnight.

950
00:52:22,440 --> 00:52:26,560
Speaker 1: And let's not overlook the reality that all these companies

951
00:52:26,760 --> 00:52:29,399
Speaker 1: have been watching this coming. They've seen it coming, they've

952
00:52:29,400 --> 00:52:33,080
Speaker 1: already adapted. When was the last time? And again it's

953
00:52:33,080 --> 00:52:34,560
Speaker 1: New York. It's a little different. Right. You got a

954
00:52:34,600 --> 00:52:36,600
Speaker 1: lot of Mom and pops, but in larger grocery stores,

955
00:52:37,280 --> 00:52:39,960
Speaker 1: there's no one checking you out anymore. It's all self checkout.

956
00:52:40,000 --> 00:52:41,719
Speaker 1: It's all please scan your item and put it in

957
00:52:41,800 --> 00:52:44,680
Speaker 1: the bag. Right. You go to any fast food rush

958
00:52:44,760 --> 00:52:47,000
Speaker 1: right now, it's a lot of automation. Even banks are

959
00:52:47,040 --> 00:52:49,560
Speaker 1: realizing this. You can't go to a teller drive through anymore.

960
00:52:49,600 --> 00:52:52,239
Speaker 1: They don't exist. They're hardly anywhere. They want you to

961
00:52:52,320 --> 00:52:54,560
Speaker 1: scan the check on your phone and upload it that way.

962
00:52:54,800 --> 00:52:56,680
Speaker 1: They want you to do the mobile app because they

963
00:52:56,719 --> 00:52:59,239
Speaker 1: don't want to employ people to take your check and

964
00:52:59,360 --> 00:53:00,880
Speaker 1: shoot it in the tube and go to the other

965
00:53:00,960 --> 00:53:02,719
Speaker 1: side and then put it in the computer for you.

966
00:53:03,120 --> 00:53:05,400
Speaker 1: So the idea that we're gonna like this is actually

967
00:53:05,440 --> 00:53:08,640
Speaker 1: gonna help Americans is insane. The Congressional Budget Office also

968
00:53:08,719 --> 00:53:12,400
Speaker 1: has said, you'll have more people lose their jobs under this,

969
00:53:13,160 --> 00:53:16,720
Speaker 1: under this decision, then we'll be taken out of poverty

970
00:53:16,800 --> 00:53:18,640
Speaker 1: because of it, which is the whole claim of the left.

971
00:53:18,960 --> 00:53:22,239
Speaker 1: Ben Ferguson, everybody of the Ben Ferguson Podcast, You guys

972
00:53:22,280 --> 00:53:25,640
Speaker 1: canna check him out. He's going if anything untoward happens

973
00:53:25,680 --> 00:53:28,719
Speaker 1: while I'm at spacks, will be involved. If there's any

974
00:53:28,800 --> 00:53:34,400
Speaker 1: incident involving a borrowed booze bus or something that ends up.

975
00:53:34,520 --> 00:53:37,520
Speaker 1: You know, if we get arrested for not wearing our masks,

976
00:53:37,960 --> 00:53:40,439
Speaker 1: well that that's definitely gonna be a pen's fault. Maybe

977
00:53:40,520 --> 00:53:42,520
Speaker 1: mine too. But Ben, great to see you, man, Thanks

978
00:53:42,520 --> 00:53:44,600
Speaker 1: so much for joining. Brother. Nice to see you. This

979
00:53:44,920 --> 00:53:48,400
Speaker 1: is the Buck Sexton Show podcast. Join the conversation and

980
00:53:48,520 --> 00:53:53,440
Speaker 1: message Buck on Facebook, Instagram, or email Team Bucket. iHeartMedia

981
00:53:53,520 --> 00:53:55,880
Speaker 1: dot com. He may read it on the show. Because

982
00:53:55,920 --> 00:53:59,239
Speaker 1: I'm here at Cepack in Orlando, Florida, I get to

983
00:53:59,280 --> 00:54:01,439
Speaker 1: see a lot of my favorite people in conservative media.

984
00:54:01,440 --> 00:54:03,440
Speaker 1: We just had my buddy Ben Ferguson with us, and

985
00:54:03,560 --> 00:54:06,480
Speaker 1: now we have miss Anna Paulina Luna. She was a

986
00:54:06,520 --> 00:54:10,560
Speaker 1: congressional candidate here in the Tampa area in this last

987
00:54:10,640 --> 00:54:13,080
Speaker 1: cycle and is a conservative commentator and just all around

988
00:54:13,120 --> 00:54:15,760
Speaker 1: great lady. A veteran, I feel like people don't they

989
00:54:15,800 --> 00:54:19,680
Speaker 1: don't always remember you're a veteran. Correct. I actually did

990
00:54:19,760 --> 00:54:21,439
Speaker 1: not wear my pin today, but a lot of people

991
00:54:21,480 --> 00:54:22,759
Speaker 1: look at me and they say, no way of what

992
00:54:23,040 --> 00:54:26,320
Speaker 1: I say. Of the military air force. There you go,

993
00:54:27,120 --> 00:54:29,640
Speaker 1: and let's let's talk a little Florida, shall we. You ran,

994
00:54:30,239 --> 00:54:32,359
Speaker 1: and you ran against Charlie christ a well known name

995
00:54:32,400 --> 00:54:36,080
Speaker 1: in Florida politics here, and you're we're hoping going to

996
00:54:36,160 --> 00:54:38,440
Speaker 1: run again because you had you had a strong showing.

997
00:54:38,960 --> 00:54:41,600
Speaker 1: But people are talking rom de Santis in a pretty

998
00:54:41,640 --> 00:54:45,799
Speaker 1: big way already for twenty twenty four because of well,

999
00:54:46,120 --> 00:54:47,719
Speaker 1: there are folks like me who are seeing what's going

1000
00:54:47,760 --> 00:54:49,840
Speaker 1: on here and saying there was a better way to

1001
00:54:49,920 --> 00:54:53,360
Speaker 1: handle this pandemic, and Ron de Santis was one of

1002
00:54:53,400 --> 00:54:56,360
Speaker 1: the people pushing and actually enacting that way. Do you

1003
00:54:56,480 --> 00:54:59,399
Speaker 1: think that that's Are we already at a point where

1004
00:54:59,440 --> 00:55:01,759
Speaker 1: De Santis be talked about as a possible because that's

1005
00:55:01,760 --> 00:55:03,160
Speaker 1: a big part of seapack, right, We're gonna have the

1006
00:55:03,160 --> 00:55:04,719
Speaker 1: straw pole and all this stuff. What do you think?

1007
00:55:04,840 --> 00:55:07,760
Speaker 1: One hundred thousand percent? Although I'm a little bit selfish

1008
00:55:07,840 --> 00:55:10,000
Speaker 1: and I don't want to lose de santist, he is

1009
00:55:10,120 --> 00:55:13,759
Speaker 1: absolutely has proven over the last couple of months he's

1010
00:55:13,800 --> 00:55:16,799
Speaker 1: been absolutely incredible with his response to COVID, and now

1011
00:55:16,840 --> 00:55:19,680
Speaker 1: that we see the epic roasting of Cuomot, I think

1012
00:55:19,719 --> 00:55:22,520
Speaker 1: that it's only furthering that argument. But you know, it's

1013
00:55:22,560 --> 00:55:24,400
Speaker 1: one of those things that a lot of people are

1014
00:55:24,480 --> 00:55:27,480
Speaker 1: really uncomfortable with how the Democrats handled this total lockdown

1015
00:55:27,840 --> 00:55:29,840
Speaker 1: and push for control. They said it would only be

1016
00:55:29,920 --> 00:55:32,200
Speaker 1: what fourteen days, fifteen days, and we here we are

1017
00:55:32,280 --> 00:55:35,279
Speaker 1: months later, and now Florida's essentially become, I think, a

1018
00:55:35,360 --> 00:55:37,480
Speaker 1: refugee state for a lot of these small business owners

1019
00:55:37,520 --> 00:55:41,680
Speaker 1: and people that just don't want that totalitarian viewpoint, especially

1020
00:55:41,800 --> 00:55:45,520
Speaker 1: during a national pandemic. How has it been being down here?

1021
00:55:45,840 --> 00:55:49,160
Speaker 1: I mean, you know, Tampa, we're talking to Ben and

1022
00:55:49,280 --> 00:55:52,799
Speaker 1: there's the state versus the local reality. And because this look,

1023
00:55:52,840 --> 00:55:55,399
Speaker 1: the show is on in fifty states, right, so I'm

1024
00:55:55,400 --> 00:55:58,000
Speaker 1: always trying to talk about what's going on with lockdowns.

1025
00:55:58,280 --> 00:56:00,840
Speaker 1: And one of the challenges is that my my wonderful

1026
00:56:00,880 --> 00:56:05,239
Speaker 1: audience in Los Angeles or in Denver has a very

1027
00:56:05,400 --> 00:56:08,319
Speaker 1: different feel of what's going on with the lockdown than

1028
00:56:08,440 --> 00:56:12,320
Speaker 1: the people who listen in Montana or even rural Michigan

1029
00:56:12,400 --> 00:56:15,319
Speaker 1: or Illinois, for example. Right, They're like, I mean, yeah,

1030
00:56:15,360 --> 00:56:16,919
Speaker 1: I go into like a store, I put on a mount.

1031
00:56:16,920 --> 00:56:18,440
Speaker 1: Other than that, I mean, no one's really bothering me.

1032
00:56:19,160 --> 00:56:21,920
Speaker 1: How has it been Tampa versus the rest of Florida?

1033
00:56:22,320 --> 00:56:24,520
Speaker 1: So I'd say, you go to the Painhandle and they're

1034
00:56:24,560 --> 00:56:26,680
Speaker 1: completely they don't care about the mass. You go to

1035
00:56:26,840 --> 00:56:29,000
Speaker 1: places like Tampa and you have it same way in

1036
00:56:29,040 --> 00:56:30,560
Speaker 1: the stores, but you go out on a Friday night

1037
00:56:30,600 --> 00:56:32,759
Speaker 1: to the bars and there's not a mask in site.

1038
00:56:32,840 --> 00:56:34,680
Speaker 1: So I think that it really just depends. But I

1039
00:56:34,760 --> 00:56:37,120
Speaker 1: think a lot of people are realizing one COVID had

1040
00:56:37,520 --> 00:56:40,200
Speaker 1: and does have a ninety nine point nine percent survival rate.

1041
00:56:40,880 --> 00:56:43,120
Speaker 1: De Santis has done a great job with giving the

1042
00:56:43,239 --> 00:56:45,719
Speaker 1: vaccine to those that need it the most, in other words,

1043
00:56:45,760 --> 00:56:48,400
Speaker 1: the older generation and senior citizens. So I think a

1044
00:56:48,520 --> 00:56:51,560
Speaker 1: lot of people are now realizing, Okay, if it's a

1045
00:56:51,640 --> 00:56:55,080
Speaker 1: more democrat area and Democrat controlled local government, that you'll

1046
00:56:55,080 --> 00:56:56,799
Speaker 1: see a stronger push for the mass. And then other

1047
00:56:56,880 --> 00:56:58,680
Speaker 1: than that, in the more conservative areas, you're not seeing

1048
00:56:58,719 --> 00:57:02,600
Speaker 1: the masking. What less since did you learn from your

1049
00:57:02,800 --> 00:57:05,920
Speaker 1: run for Congress here in Florida this last time around?

1050
00:57:06,800 --> 00:57:10,239
Speaker 1: That and just in general, your feel for where the

1051
00:57:10,440 --> 00:57:13,640
Speaker 1: GOP goes now? Right. I mean, you you saw what

1052
00:57:13,760 --> 00:57:16,400
Speaker 1: it was like you you were in those debates and

1053
00:57:16,600 --> 00:57:20,120
Speaker 1: those those fights for the twenty twenty election. Trump obviously

1054
00:57:20,280 --> 00:57:23,720
Speaker 1: is not president anymore. Joe Biden is sitting in the

1055
00:57:24,120 --> 00:57:26,720
Speaker 1: White House, and the Democrats have control in the House

1056
00:57:26,880 --> 00:57:30,160
Speaker 1: and de facto Senate majority. What do you feel like

1057
00:57:30,240 --> 00:57:32,080
Speaker 1: we what is the party now? What do we do now?

1058
00:57:32,240 --> 00:57:33,720
Speaker 1: People ask me this. I want to ask you because

1059
00:57:33,720 --> 00:57:36,120
Speaker 1: you actually had to like raise money convince people that

1060
00:57:36,160 --> 00:57:38,280
Speaker 1: the GOP as a future, um you know from me

1061
00:57:38,400 --> 00:57:40,280
Speaker 1: is a little bit different because I was never the

1062
00:57:40,480 --> 00:57:43,360
Speaker 1: establishment candidate. I was kind of that Trumpian, the candidate

1063
00:57:43,440 --> 00:57:45,240
Speaker 1: that came in and was not a part of the problem.

1064
00:57:45,280 --> 00:57:47,720
Speaker 1: As I say. What I really learned though, is that

1065
00:57:48,000 --> 00:57:51,160
Speaker 1: you know, people do have this old way of doing things, right,

1066
00:57:51,240 --> 00:57:54,920
Speaker 1: that old guard of what establishment politics was. And with

1067
00:57:55,160 --> 00:57:57,760
Speaker 1: Trump and what you're seeing now with those especially that

1068
00:57:57,920 --> 00:58:00,320
Speaker 1: just got into this past cycle, that are those younger

1069
00:58:00,400 --> 00:58:03,880
Speaker 1: voices of the GOP. They are your average Americans. It's

1070
00:58:03,920 --> 00:58:06,840
Speaker 1: not this you know, country yacht club type of Republican.

1071
00:58:07,000 --> 00:58:09,680
Speaker 1: It's your beer drinking, blue jean wearing, you know, boot

1072
00:58:09,720 --> 00:58:13,800
Speaker 1: slanging Republicans that you know have had normal jobs and realize, look,

1073
00:58:13,960 --> 00:58:15,360
Speaker 1: we don't want to have to do this, but we're

1074
00:58:15,360 --> 00:58:18,160
Speaker 1: doing this because we don't want government overreach. And you know,

1075
00:58:18,280 --> 00:58:20,360
Speaker 1: i'd say that people that you know want to be

1076
00:58:20,440 --> 00:58:25,680
Speaker 1: career politicians, they're probably sociopaths because it's hard and it's

1077
00:58:25,680 --> 00:58:28,880
Speaker 1: a great sacrifice. But for people like myself and moving forward,

1078
00:58:28,920 --> 00:58:31,840
Speaker 1: I think that what the Republican Party is realizing is

1079
00:58:31,880 --> 00:58:34,160
Speaker 1: that one you can't get rid of Trump. He started

1080
00:58:34,160 --> 00:58:36,760
Speaker 1: a movement, the American First Movement, that's here to stay.

1081
00:58:37,160 --> 00:58:39,080
Speaker 1: And I think that moving forward, if they want to

1082
00:58:39,200 --> 00:58:41,480
Speaker 1: ever target the American base the way that Trump did,

1083
00:58:41,520 --> 00:58:43,800
Speaker 1: that they're going to have to choose these dynamic candidates

1084
00:58:44,160 --> 00:58:47,160
Speaker 1: that can resonate with the base. Forty fifth President of

1085
00:58:47,200 --> 00:58:51,240
Speaker 1: the United States Donald Trump will be here this weekend giving,

1086
00:58:51,360 --> 00:58:54,880
Speaker 1: I believe, what's considered v keynote of the entire ce

1087
00:58:55,080 --> 00:58:57,800
Speaker 1: pack What are you? I know that you haven't been

1088
00:58:58,080 --> 00:59:00,680
Speaker 1: involved in the speech writing process of love. Told you were,

1089
00:59:00,720 --> 00:59:02,400
Speaker 1: I wouldn't be surprised, but I know I think this

1090
00:59:02,520 --> 00:59:04,320
Speaker 1: time around they haven't. They haven't tapped you for it.

1091
00:59:06,000 --> 00:59:07,680
Speaker 1: What do you want to hear him say? I guess

1092
00:59:07,720 --> 00:59:10,680
Speaker 1: that's what's your version of the best possible message Trump

1093
00:59:10,800 --> 00:59:13,360
Speaker 1: can give you mentioned America first and where we are

1094
00:59:13,520 --> 00:59:15,280
Speaker 1: right now. I want to hear him say that he's

1095
00:59:15,280 --> 00:59:17,360
Speaker 1: not going anywhere from the GOP, that he will be

1096
00:59:17,760 --> 00:59:20,640
Speaker 1: definitely engaged in the twenty twenty two primaries because I

1097
00:59:20,720 --> 00:59:23,040
Speaker 1: think that that's where the Republican Party needs it the most.

1098
00:59:23,480 --> 00:59:25,320
Speaker 1: A lot of people tend to stay out of primaries.

1099
00:59:25,360 --> 00:59:27,120
Speaker 1: You should be getting involved because that's when you can

1100
00:59:27,240 --> 00:59:29,280
Speaker 1: filter out a lot of the bad candidates that can

1101
00:59:29,320 --> 00:59:32,560
Speaker 1: potentially become congressman. And that I also hope that he says,

1102
00:59:32,640 --> 00:59:34,040
Speaker 1: and I don't know if he'll do it just yet,

1103
00:59:34,120 --> 00:59:35,760
Speaker 1: but that he is hoping to make a run in

1104
00:59:35,840 --> 00:59:38,600
Speaker 1: twenty twenty four. I'm backing to Santis, but I still

1105
00:59:38,680 --> 00:59:40,920
Speaker 1: think that Trump could have done some great things for

1106
00:59:41,000 --> 00:59:43,440
Speaker 1: this country. He was the only president in my lifetime

1107
00:59:43,840 --> 00:59:46,200
Speaker 1: that didn't bring us into another foreign war, and I'm

1108
00:59:46,240 --> 00:59:49,080
Speaker 1: still adamantly opposed to the military industrial complex, and so

1109
00:59:49,600 --> 00:59:52,120
Speaker 1: I'm hoping that he'll say that he's going to continue

1110
00:59:52,160 --> 00:59:53,680
Speaker 1: to lead this country and lead the party as well.

1111
00:59:53,720 --> 00:59:56,560
Speaker 1: We're speaking to Anna Paulina Lunas. She was a congressional

1112
00:59:56,640 --> 01:00:00,000
Speaker 1: candidate in Tampa. Here in Florida. We're right now in Orlando,

1113
01:00:00,360 --> 01:00:03,600
Speaker 1: but in Tampa, Florida, and she's sitting here with me

1114
01:00:03,680 --> 01:00:06,040
Speaker 1: at CEPAC. And you know you mentioned I'm gonna be

1115
01:00:06,120 --> 01:00:09,360
Speaker 1: talking on Friday with former It's gonna be me and

1116
01:00:09,560 --> 01:00:13,480
Speaker 1: deput National Security Advisor, former deput National Security Advisor Katie McFarland,

1117
01:00:15,160 --> 01:00:17,960
Speaker 1: who we're gonna be talking about big tech and China.

1118
01:00:18,560 --> 01:00:20,720
Speaker 1: So which is near. It's near and dear to my

1119
01:00:20,760 --> 01:00:24,840
Speaker 1: heart because there's the China issue and how that affects Americans.

1120
01:00:24,920 --> 01:00:28,320
Speaker 1: There's big tech against us, and then there's big tech

1121
01:00:28,600 --> 01:00:32,960
Speaker 1: colluding with Chinas. There's multiple layers. It's like big tech

1122
01:00:33,160 --> 01:00:36,640
Speaker 1: is is becoming clearly an enemy of free speech. In

1123
01:00:36,760 --> 01:00:39,400
Speaker 1: my opinion, I think that's beyond I think that's beyond

1124
01:00:39,440 --> 01:00:41,760
Speaker 1: a reasonable debate. But of course that's a debate. We

1125
01:00:41,840 --> 01:00:44,600
Speaker 1: we're gonna still have to have um on the foreign

1126
01:00:44,640 --> 01:00:48,479
Speaker 1: policy front, though. One of the GOP so called civil

1127
01:00:48,520 --> 01:00:50,840
Speaker 1: war issues or whatever people are saying. The fighting within

1128
01:00:50,880 --> 01:00:53,560
Speaker 1: the GOOP that keeps coming up is there's that that fear.

1129
01:00:53,600 --> 01:00:56,200
Speaker 1: I think, because Liz Channing in particular is one of

1130
01:00:56,240 --> 01:00:59,880
Speaker 1: the most vocal anti Trumpers, that the GOP wants to

1131
01:00:59,920 --> 01:01:02,480
Speaker 1: go back or that there there are powerful elements that

1132
01:01:02,560 --> 01:01:05,080
Speaker 1: want to go back to that. I mean, you know

1133
01:01:05,600 --> 01:01:08,080
Speaker 1: the g WAT. You know that era intervention. I mean,

1134
01:01:08,360 --> 01:01:10,120
Speaker 1: no one calls it. When I was in the CIA,

1135
01:01:10,240 --> 01:01:11,960
Speaker 1: we call it. It was always the g WAT, I mean,

1136
01:01:14,880 --> 01:01:17,040
Speaker 1: and that's that's a no go now. But whatever it is,

1137
01:01:17,120 --> 01:01:20,080
Speaker 1: the the that intervention is feeling, do you think we're

1138
01:01:20,120 --> 01:01:22,200
Speaker 1: really passed that? I mean, you mentioned the military industrial

1139
01:01:22,320 --> 01:01:24,920
Speaker 1: complex and I know you're you're married to a Special

1140
01:01:24,960 --> 01:01:27,960
Speaker 1: Forces veteran. I worry that there are still a lot

1141
01:01:28,040 --> 01:01:31,040
Speaker 1: of people that haven't on our side, you know, generally speaking,

1142
01:01:31,080 --> 01:01:34,560
Speaker 1: Conservatives or Republicans or whatever, who haven't learned a lesson

1143
01:01:34,960 --> 01:01:36,920
Speaker 1: and still think that that's the way we like, basically,

1144
01:01:36,920 --> 01:01:38,280
Speaker 1: we're going to go to war with Iran. It's just

1145
01:01:38,320 --> 01:01:40,920
Speaker 1: a question when I will be like lying in front

1146
01:01:41,000 --> 01:01:43,760
Speaker 1: of the tank, so to speaking. Yeah, no, that's that's

1147
01:01:43,880 --> 01:01:45,920
Speaker 1: probably the worst thing that you could be promoting right now.

1148
01:01:46,320 --> 01:01:48,280
Speaker 1: I'm not that you are, but that these people who

1149
01:01:48,680 --> 01:01:50,600
Speaker 1: in my opinion, don't have any skin in the game.

1150
01:01:50,680 --> 01:01:53,280
Speaker 1: I mean, they're willing to vote our and send our

1151
01:01:53,360 --> 01:01:55,400
Speaker 1: young men and women to war, but yet if they're

1152
01:01:55,440 --> 01:01:58,000
Speaker 1: not sending their own sons and daughters. Um, you know

1153
01:01:58,120 --> 01:02:01,560
Speaker 1: my viewpoint on that is I think that is considered controversial.

1154
01:02:01,600 --> 01:02:04,480
Speaker 1: I don't think many Republicans have had the viewpoint that

1155
01:02:04,560 --> 01:02:07,960
Speaker 1: I do, having seen firsthand what happens with our soldiers.

1156
01:02:08,000 --> 01:02:10,720
Speaker 1: But also too, you know, it's not the responsibility of

1157
01:02:10,720 --> 01:02:12,680
Speaker 1: the United States to be a world police. You know

1158
01:02:12,760 --> 01:02:14,240
Speaker 1: that a throwback movie. I think it was in the

1159
01:02:14,360 --> 01:02:15,760
Speaker 1: nineties that it came out. You know, we're not the

1160
01:02:15,840 --> 01:02:18,080
Speaker 1: global police for are you talking? Team America one of

1161
01:02:18,160 --> 01:02:20,840
Speaker 1: the one of the greatest movies ever made. I absolutely

1162
01:02:20,920 --> 01:02:22,680
Speaker 1: loved Team you know. They were going to make a

1163
01:02:22,760 --> 01:02:26,800
Speaker 1: sequel and they didn't. We'll say, I will say that

1164
01:02:26,920 --> 01:02:28,960
Speaker 1: is a movie. By the way, it is not for kids.

1165
01:02:29,000 --> 01:02:31,280
Speaker 1: I always have sometimes I talk about something on the show,

1166
01:02:31,480 --> 01:02:32,960
Speaker 1: and so it was like I was watching it with

1167
01:02:33,080 --> 01:02:34,760
Speaker 1: little Timmy and he's ten, and I had to cover

1168
01:02:34,840 --> 01:02:36,760
Speaker 1: his eyes. I'm like, this is not for kids at all,

1169
01:02:36,920 --> 01:02:39,800
Speaker 1: not even a little bit. But Team America is one

1170
01:02:39,800 --> 01:02:44,280
Speaker 1: of those very rare cinematic achievements where I was like

1171
01:02:44,440 --> 01:02:47,840
Speaker 1: both laughing and embarrassed that I was watching and wanted

1172
01:02:47,880 --> 01:02:50,080
Speaker 1: to turn it off but couldn't turn it off. But

1173
01:02:50,280 --> 01:02:53,560
Speaker 1: but back to the foreign policy side of this. I

1174
01:02:54,200 --> 01:02:57,880
Speaker 1: just I worry that I worry that there will be

1175
01:02:57,960 --> 01:02:59,959
Speaker 1: a shift back. I worry that we will be pushed

1176
01:03:00,760 --> 01:03:05,360
Speaker 1: toward a more interventionist active form. And I feel like

1177
01:03:05,520 --> 01:03:07,560
Speaker 1: from my perspective, I mean, I know, you know, your

1178
01:03:07,640 --> 01:03:10,840
Speaker 1: your husband was was an SF guy. I mean, as

1179
01:03:10,880 --> 01:03:12,919
Speaker 1: a CI person who was in a rock and Afghanistan,

1180
01:03:13,280 --> 01:03:15,040
Speaker 1: who was always looking up to the guys who were

1181
01:03:15,080 --> 01:03:17,360
Speaker 1: outside the wire every day and actually actually doing the

1182
01:03:18,120 --> 01:03:20,440
Speaker 1: house to house fighting and making sure that we were

1183
01:03:20,480 --> 01:03:23,200
Speaker 1: taking it to the enemy. I'm just like, we we've

1184
01:03:23,280 --> 01:03:26,160
Speaker 1: run this experiment. It doesn't work. It doesn't work, does

1185
01:03:26,200 --> 01:03:27,840
Speaker 1: not work. And if you ever ask a general for

1186
01:03:27,920 --> 01:03:30,560
Speaker 1: an opinion, it's probably the worst advice because obviously generals

1187
01:03:30,560 --> 01:03:32,680
Speaker 1: are going to be pro war. Generals are politicians. This

1188
01:03:32,800 --> 01:03:34,840
Speaker 1: is what I'm trying to tell everybody. They're politicians. They are,

1189
01:03:34,920 --> 01:03:36,760
Speaker 1: And so I tell people, you know, look at the

1190
01:03:36,840 --> 01:03:39,080
Speaker 1: PAC money that the elected officials are taking. You know

1191
01:03:39,200 --> 01:03:42,160
Speaker 1: someone's looking for a lobbying gig with Raytheon or you

1192
01:03:42,200 --> 01:03:44,680
Speaker 1: know any one of these military contracting firms. Well, then

1193
01:03:44,720 --> 01:03:47,360
Speaker 1: obviously they're going to be voting to get us involved.

1194
01:03:47,720 --> 01:03:49,560
Speaker 1: But when you really look at the benefits that it

1195
01:03:49,720 --> 01:03:52,320
Speaker 1: does for a country. One, it's only increasing our deficit. Two,

1196
01:03:52,400 --> 01:03:55,120
Speaker 1: we're losing good people while we have all of these

1197
01:03:55,280 --> 01:03:57,520
Speaker 1: you know, woke topians on the internet saying that we

1198
01:03:57,600 --> 01:03:59,919
Speaker 1: need to be putting you know, little boys and girls

1199
01:04:00,200 --> 01:04:02,000
Speaker 1: dresses and this, that and the other. I mean, it's

1200
01:04:02,040 --> 01:04:04,760
Speaker 1: so backwards, and I think that when you're really looking

1201
01:04:04,840 --> 01:04:07,400
Speaker 1: at the true sacrifice of what we have to offer

1202
01:04:07,440 --> 01:04:10,000
Speaker 1: as a country, we need to fix our problems at

1203
01:04:10,080 --> 01:04:12,920
Speaker 1: home first. We can't be focusing on, you know, doing

1204
01:04:13,040 --> 01:04:16,120
Speaker 1: gender education in Afghanistan, saying our tax dollars and people

1205
01:04:16,160 --> 01:04:18,040
Speaker 1: over there to do it. It's just not right. And

1206
01:04:18,360 --> 01:04:20,440
Speaker 1: you know, I do tend to call out other veterans

1207
01:04:20,560 --> 01:04:23,680
Speaker 1: that have been promoting the war agenda because I look

1208
01:04:23,680 --> 01:04:26,080
Speaker 1: at what they're really representing, and are they representing our

1209
01:04:26,080 --> 01:04:28,600
Speaker 1: service members And the answer is absolutely not. So I'd

1210
01:04:28,640 --> 01:04:30,880
Speaker 1: be the first person, especially in the presidential primary, to

1211
01:04:30,960 --> 01:04:33,240
Speaker 1: call these people out. And you know, I used to

1212
01:04:33,280 --> 01:04:34,960
Speaker 1: look up to NICKI Haley. I will no longer do

1213
01:04:35,080 --> 01:04:37,040
Speaker 1: so because I believe that she's one of those Republicans.

1214
01:04:37,560 --> 01:04:40,040
Speaker 1: I think You're right, Anna, Paulina Luna, everybody Anna where

1215
01:04:40,040 --> 01:04:41,800
Speaker 1: ship folks go to follow you in your work. I

1216
01:04:41,800 --> 01:04:43,400
Speaker 1: would say Twitter, but don't follow me on Twitter because

1217
01:04:43,400 --> 01:04:45,720
Speaker 1: I'm ann strike on Twitter. So any other social media

1218
01:04:45,800 --> 01:04:47,920
Speaker 1: at real on apol have they come after you have

1219
01:04:48,800 --> 01:04:52,320
Speaker 1: woke started to like ban you or suspending? Yeah, I

1220
01:04:52,400 --> 01:04:54,880
Speaker 1: have actually an ongoing suit with Twitter right now. So

1221
01:04:55,120 --> 01:04:57,920
Speaker 1: we're actually working with Senator Loomas out in Wyoming to

1222
01:04:58,120 --> 01:05:00,440
Speaker 1: bring a cross action against U. Want to come come

1223
01:05:00,600 --> 01:05:01,840
Speaker 1: back this for a couple of minutes, Hold on, We're

1224
01:05:01,840 --> 01:05:05,640
Speaker 1: gonna continue to talk about the censorship from social media

1225
01:05:06,000 --> 01:05:07,960
Speaker 1: and we'll get into that with Anna Polina Luna here.

1226
01:05:07,960 --> 01:05:11,360
Speaker 1: In just one second, you're in the freedom Hunt. Thanks

1227
01:05:11,400 --> 01:05:14,280
Speaker 1: for listening to the Buck Sexton Show podcast. Get the

1228
01:05:14,400 --> 01:05:19,240
Speaker 1: latest from Buck at buck Sexton dot com. All right,

1229
01:05:19,240 --> 01:05:22,680
Speaker 1: continuing my conversation with Anna Paulina Luna. We're here at

1230
01:05:22,760 --> 01:05:27,320
Speaker 1: Seapack in Orlando and she's sitting with me in broadcast Row,

1231
01:05:27,400 --> 01:05:29,640
Speaker 1: which is always a fun place to be. I hope

1232
01:05:29,640 --> 01:05:31,160
Speaker 1: a lot of you from team Buck would come by

1233
01:05:31,200 --> 01:05:33,240
Speaker 1: and say hi, And it was kind of funny. I

1234
01:05:33,320 --> 01:05:36,240
Speaker 1: guess the phrase the close of the show is shields High,

1235
01:05:36,520 --> 01:05:38,160
Speaker 1: and it was great. The first person I saw here

1236
01:05:38,200 --> 01:05:39,520
Speaker 1: saw me and gave me this big wink and went

1237
01:05:39,600 --> 01:05:42,480
Speaker 1: shields up and I was like post like I like it,

1238
01:05:42,560 --> 01:05:44,400
Speaker 1: you know like that that I get it. I'm with you.

1239
01:05:44,680 --> 01:05:47,240
Speaker 1: You get it. He gets it. He gets an a

1240
01:05:47,360 --> 01:05:50,240
Speaker 1: for effort um. But uh, but tell me this, um.

1241
01:05:50,680 --> 01:05:53,880
Speaker 1: We're talking about social media stuff. So you've you've been

1242
01:05:54,920 --> 01:05:57,520
Speaker 1: in an in a lawsuit. What's going on? So I

1243
01:05:57,600 --> 01:06:00,680
Speaker 1: filed the FEC complaint against Twitter for an illegal in

1244
01:06:00,800 --> 01:06:04,520
Speaker 1: kind contribution by failing to verify and suppressing my information

1245
01:06:04,560 --> 01:06:07,320
Speaker 1: when I was a candidate. And now that that's going

1246
01:06:07,480 --> 01:06:11,440
Speaker 1: up for review, we actually found a senator, Senator Loomis

1247
01:06:11,520 --> 01:06:14,200
Speaker 1: in Wyoming that actually found out what was happening with

1248
01:06:14,320 --> 01:06:16,080
Speaker 1: me and actually reached out to some of our donors.

1249
01:06:16,120 --> 01:06:18,440
Speaker 1: So we're working on a class action now currently against Twitter.

1250
01:06:18,920 --> 01:06:21,439
Speaker 1: And it's interesting because the RNC has a similar case.

1251
01:06:21,560 --> 01:06:23,600
Speaker 1: In fact, we share the same attorney, but they filed

1252
01:06:23,640 --> 01:06:27,600
Speaker 1: a day after me. And now with DeSantis's big tech

1253
01:06:27,680 --> 01:06:30,240
Speaker 1: bill that he's pushing, it would allow the state of

1254
01:06:30,240 --> 01:06:33,960
Speaker 1: Florida to find companies like Twitter and Facebook, you know,

1255
01:06:34,440 --> 01:06:37,720
Speaker 1: a penalty per day that they suppressed candidates. So when

1256
01:06:37,720 --> 01:06:39,880
Speaker 1: I actually went through and totaled up the amount that

1257
01:06:40,000 --> 01:06:43,120
Speaker 1: Twitter would actually owe the state of Florida, pending that

1258
01:06:43,160 --> 01:06:45,000
Speaker 1: they do it again in a future election of mine,

1259
01:06:45,240 --> 01:06:46,960
Speaker 1: it would be three million dollars per month that they

1260
01:06:47,000 --> 01:06:50,120
Speaker 1: suppressed me. So that's pretty substantial for the state of Florida.

1261
01:06:50,320 --> 01:06:52,400
Speaker 1: This is great. I really want because the only way

1262
01:06:52,480 --> 01:06:56,560
Speaker 1: this changes is if we start inflicting pain on these

1263
01:06:56,640 --> 01:06:59,920
Speaker 1: companies for the decisions to suppress conservatives, which they're act

1264
01:07:00,120 --> 01:07:02,440
Speaker 1: be doing. So any way that I can help get

1265
01:07:02,480 --> 01:07:04,480
Speaker 1: the word out about this, I definitely want to want

1266
01:07:04,480 --> 01:07:07,880
Speaker 1: to do whatever I can because we will. I keep

1267
01:07:07,920 --> 01:07:10,280
Speaker 1: telling everybody this. You know, a lot of people listen

1268
01:07:10,280 --> 01:07:13,240
Speaker 1: to this on radio. They're on Facebook but maybe not

1269
01:07:13,360 --> 01:07:15,880
Speaker 1: that active, but they're not really generally a lot of

1270
01:07:15,920 --> 01:07:18,360
Speaker 1: them on you know, on TikTok and on Instagram, and

1271
01:07:18,720 --> 01:07:20,440
Speaker 1: if when I say on it, they're not using it

1272
01:07:20,560 --> 01:07:22,080
Speaker 1: daily in quite the same way. You know, where we

1273
01:07:22,120 --> 01:07:24,600
Speaker 1: have a lot of people who are you know, let's

1274
01:07:24,600 --> 01:07:27,760
Speaker 1: say forty and up who listen to listen to terrestrial radio.

1275
01:07:28,200 --> 01:07:31,360
Speaker 1: And so I think it's hard to it's hard for

1276
01:07:31,360 --> 01:07:33,800
Speaker 1: people who don't work in this space to really grasp

1277
01:07:34,360 --> 01:07:36,880
Speaker 1: what it means that social media companies are doing this.

1278
01:07:37,040 --> 01:07:39,160
Speaker 1: What it means is that all the websites, all the

1279
01:07:39,240 --> 01:07:42,920
Speaker 1: news organizations, every political issue that you care about is

1280
01:07:43,000 --> 01:07:45,840
Speaker 1: slanted against you now even if you don't use these

1281
01:07:45,880 --> 01:07:47,920
Speaker 1: things correct. And I think that's what I think when

1282
01:07:47,960 --> 01:07:52,120
Speaker 1: when people understand that this is we can't win as

1283
01:07:52,200 --> 01:07:55,840
Speaker 1: a party if the biggest, most powerful media companies in

1284
01:07:55,880 --> 01:07:58,720
Speaker 1: the country are actively suppressing us while pretending to be

1285
01:07:58,800 --> 01:08:02,280
Speaker 1: open platforms that having that section to thirty protection, it's

1286
01:08:02,360 --> 01:08:05,040
Speaker 1: game over. It's game over. And they're also too now

1287
01:08:05,200 --> 01:08:09,440
Speaker 1: launching these fact checking organizations. The DNC actually just launched one.

1288
01:08:09,560 --> 01:08:12,520
Speaker 1: It's twenty two million dollars in fact checking against memes.

1289
01:08:12,560 --> 01:08:15,160
Speaker 1: So they're actually controlling the information. And then as most

1290
01:08:15,200 --> 01:08:18,200
Speaker 1: people know a meme as a joke, it's usually a satire,

1291
01:08:18,560 --> 01:08:20,599
Speaker 1: and they're wanting to fact check that and then actually

1292
01:08:20,720 --> 01:08:23,439
Speaker 1: bring punitive action against people that share those memes if

1293
01:08:23,479 --> 01:08:25,360
Speaker 1: they don't agree with the information that's on them. So

1294
01:08:25,880 --> 01:08:29,160
Speaker 1: I've been targeted for multiple times for what I say

1295
01:08:29,360 --> 01:08:32,400
Speaker 1: about masks and about and by the way, I'm not like,

1296
01:08:33,000 --> 01:08:36,320
Speaker 1: I'm not a hardcore person about you know, things never

1297
01:08:36,400 --> 01:08:39,040
Speaker 1: work or I'll never do restrictions or whatever, but i'd

1298
01:08:39,120 --> 01:08:41,040
Speaker 1: know that I know what nonsense is, and I'll call

1299
01:08:41,120 --> 01:08:43,000
Speaker 1: out nonsense. I mean the fact that we're sitting here,

1300
01:08:43,040 --> 01:08:45,960
Speaker 1: for example, and the rules just everybody knows are a

1301
01:08:46,040 --> 01:08:48,680
Speaker 1: broadcast roll. Your mask can be down. If you stand up, though,

1302
01:08:48,960 --> 01:08:51,360
Speaker 1: and your three feet from the radio table, then the

1303
01:08:51,479 --> 01:08:53,960
Speaker 1: rules set by the Hyatt, not set by Sepack are

1304
01:08:54,200 --> 01:08:56,320
Speaker 1: you must have a mask on right away. There is

1305
01:08:56,360 --> 01:08:59,439
Speaker 1: no epidemiological basis for this whatsoever. There's no reason to

1306
01:08:59,520 --> 01:09:02,920
Speaker 1: believe that anyone who is walking past is more or

1307
01:09:03,040 --> 01:09:05,760
Speaker 1: less of it in danger. So I put on things

1308
01:09:05,800 --> 01:09:09,000
Speaker 1: like that. They the fact checkers that have come after me,

1309
01:09:09,160 --> 01:09:12,360
Speaker 1: like PolitiFact and these other ones. These are left wing hacks.

1310
01:09:12,479 --> 01:09:15,760
Speaker 1: It's basically media matters they're using. There are five or

1311
01:09:15,880 --> 01:09:19,240
Speaker 1: one c three and you know what happens when they

1312
01:09:19,280 --> 01:09:21,479
Speaker 1: when they ding you on something and then you you

1313
01:09:21,560 --> 01:09:23,439
Speaker 1: want to complain and say this is unfair. Yeah you

1314
01:09:23,520 --> 01:09:26,080
Speaker 1: have I think it's actually thirty six hours to contact

1315
01:09:26,120 --> 01:09:27,840
Speaker 1: them back, and if you miss that window, then that's it.

1316
01:09:28,200 --> 01:09:30,800
Speaker 1: They're not required to respond. And what's even worse is

1317
01:09:30,840 --> 01:09:32,960
Speaker 1: if you are someone like you or me and you

1318
01:09:33,040 --> 01:09:35,439
Speaker 1: have a monetized page, they then take your ability to

1319
01:09:36,000 --> 01:09:37,920
Speaker 1: use that for engagement and folks. You know what they

1320
01:09:37,960 --> 01:09:40,760
Speaker 1: tell you to do. They say, take it up with

1321
01:09:40,880 --> 01:09:43,479
Speaker 1: the fact checker. Directly. That's what Facebook will do, do

1322
01:09:43,520 --> 01:09:45,200
Speaker 1: you now, Facebook will say take it up with the

1323
01:09:45,240 --> 01:09:48,760
Speaker 1: fact checker. This is like saying, hey, my house has

1324
01:09:48,800 --> 01:09:50,439
Speaker 1: been robbed and you go to the you go to

1325
01:09:50,560 --> 01:09:52,320
Speaker 1: what you think of the police, and they're like, go

1326
01:09:52,479 --> 01:09:54,599
Speaker 1: ask the burglar to give it back to it true.

1327
01:09:54,920 --> 01:09:56,800
Speaker 1: That is what they're doing to you. I mean, it's

1328
01:09:56,880 --> 01:10:00,120
Speaker 1: it's amazing and it's appalling at the same time. I

1329
01:10:00,200 --> 01:10:02,960
Speaker 1: just wish that everybody would understand what the real implications

1330
01:10:03,000 --> 01:10:05,240
Speaker 1: of this are, because we're not going to win any

1331
01:10:05,280 --> 01:10:07,320
Speaker 1: political arguments going forward if we don't win on this.

1332
01:10:07,479 --> 01:10:09,439
Speaker 1: Well in other countries are really seeing what they did

1333
01:10:09,520 --> 01:10:12,720
Speaker 1: to the president. So ultimately you have places like Australia

1334
01:10:12,760 --> 01:10:14,800
Speaker 1: and India and even the United Kingdom that are coming

1335
01:10:14,800 --> 01:10:18,200
Speaker 1: against these organizations because they realize control of social media's

1336
01:10:18,200 --> 01:10:20,719
Speaker 1: control of election and its control of information. It's absolutely

1337
01:10:20,720 --> 01:10:23,880
Speaker 1: the case. Anna, Polina, Luna, everybody. Anna. Always great to

1338
01:10:23,960 --> 01:10:25,519
Speaker 1: have you here on the Buck Sexton Show. Thanks for

1339
01:10:25,600 --> 01:10:28,400
Speaker 1: coming to Seepack and we'll have you on again soon.

1340
01:10:28,479 --> 01:10:33,920
Speaker 1: Thanks guys. This is the Buck Sexton show podcast. Follow

1341
01:10:34,040 --> 01:10:38,720
Speaker 1: Buck on Facebook, Instagram, and Twitter. All Right, continuing with

1342
01:10:38,920 --> 01:10:42,760
Speaker 1: some of our favorite people here in person with me

1343
01:10:43,040 --> 01:10:45,800
Speaker 1: at Sepack. We have a fellow that you might know

1344
01:10:46,000 --> 01:10:48,559
Speaker 1: from his radio show, A Great Show on the West

1345
01:10:48,600 --> 01:10:52,640
Speaker 1: Coast on Seattle's KTTH, but also from his frequent appearances

1346
01:10:52,760 --> 01:10:56,280
Speaker 1: on Tucker Carlson Show on Fox News talking about the

1347
01:10:56,439 --> 01:11:00,400
Speaker 1: crazy left coast woke maniacs. We've got Jason in rants

1348
01:11:00,400 --> 01:11:02,120
Speaker 1: with us. Now, Jason, how you doing. I'm doing well.

1349
01:11:02,160 --> 01:11:04,439
Speaker 1: It's very interesting because you come out here from Seattle

1350
01:11:04,520 --> 01:11:06,840
Speaker 1: to Orlando, and if this was happening in Seattle, one,

1351
01:11:06,880 --> 01:11:10,439
Speaker 1: it wouldn't happen in Seattle. But if it were NonStop protests,

1352
01:11:11,080 --> 01:11:14,760
Speaker 1: there's everyone. You're so nice, everyone friendly, everyone I walk

1353
01:11:14,840 --> 01:11:17,320
Speaker 1: up everywhere that I see in the hotel and everything

1354
01:11:17,400 --> 01:11:19,880
Speaker 1: that aren't even a part of Seapack. They're just like, well, hello,

1355
01:11:20,080 --> 01:11:24,000
Speaker 1: how are you so weird not to have Antifa here?

1356
01:11:24,160 --> 01:11:25,559
Speaker 1: Like this is what you used to start to ask

1357
01:11:25,600 --> 01:11:28,439
Speaker 1: these questions. If you're gonna get antievan Orlando. Something tells

1358
01:11:28,479 --> 01:11:29,840
Speaker 1: me they're going to have to make the trip in

1359
01:11:30,080 --> 01:11:33,760
Speaker 1: but they don't work and they don't drive, so how

1360
01:11:33,800 --> 01:11:35,120
Speaker 1: they're going to get here. What we don't know, but

1361
01:11:35,360 --> 01:11:37,519
Speaker 1: you know we'll see on Sunday. So let's talk about

1362
01:11:37,800 --> 01:11:41,760
Speaker 1: what we're seeing here right now in this Biden administration.

1363
01:11:42,200 --> 01:11:44,040
Speaker 1: It's fascinating to me because you know, you're a guy.

1364
01:11:44,240 --> 01:11:45,760
Speaker 1: You have the advantage. I remember when I when I

1365
01:11:45,840 --> 01:11:48,920
Speaker 1: first came into media, I just left the CIA, and

1366
01:11:49,360 --> 01:11:52,760
Speaker 1: of course, and uh, I wasn't doing both the same time.

1367
01:11:52,800 --> 01:11:55,400
Speaker 1: I swear, despite what some people conspiracy through it say,

1368
01:11:56,200 --> 01:11:58,360
Speaker 1: I started covering Occupy Wall Street in New York City.

1369
01:11:58,400 --> 01:12:00,679
Speaker 1: It started right down on Wall Street near Wall Street

1370
01:12:00,680 --> 01:12:03,360
Speaker 1: in New York City, and you got that day to

1371
01:12:03,479 --> 01:12:06,439
Speaker 1: day contact with these groups, and you really there's there's

1372
01:12:06,439 --> 01:12:09,360
Speaker 1: no replacement for being around them, talking to them, knowing them.

1373
01:12:09,880 --> 01:12:12,400
Speaker 1: You have that. I mean Seattle, which is a city

1374
01:12:12,400 --> 01:12:14,040
Speaker 1: I will say I've never been to, always wanted to

1375
01:12:14,080 --> 01:12:17,560
Speaker 1: go Seattle. I had thought of as it's like the

1376
01:12:17,640 --> 01:12:20,919
Speaker 1: Gray's Anatomy City and Kelsey Grammar on the show Frazier

1377
01:12:21,000 --> 01:12:23,960
Speaker 1: and all this stuff. Now people in their minds they

1378
01:12:24,120 --> 01:12:27,320
Speaker 1: have this it's like a lunatic asylum of Antifa. And

1379
01:12:27,400 --> 01:12:29,160
Speaker 1: I know that's not the whole city and everybody there,

1380
01:12:29,439 --> 01:12:32,240
Speaker 1: but you're around them. How does the city view this

1381
01:12:32,360 --> 01:12:34,320
Speaker 1: every day. How does the city of Seattle handle these

1382
01:12:34,439 --> 01:12:38,000
Speaker 1: left wing they embrace media. I mean, that's part of

1383
01:12:38,040 --> 01:12:39,840
Speaker 1: the issue with Seattle, right. I mean, you've got a

1384
01:12:40,240 --> 01:12:44,240
Speaker 1: council and a mayor's office that does not address virtually

1385
01:12:44,520 --> 01:12:47,160
Speaker 1: any of the violence any of these groups, and they

1386
01:12:47,240 --> 01:12:49,519
Speaker 1: kind of pretend that Antiva doesn't exist, just like the

1387
01:12:49,600 --> 01:12:51,799
Speaker 1: Jerry Nadler's and the Joe Bidens of the world, pretending

1388
01:12:51,800 --> 01:12:53,800
Speaker 1: it's a myth. And yet we all know it's not.

1389
01:12:54,040 --> 01:12:57,080
Speaker 1: We've got all the images, we know who these people are,

1390
01:12:57,160 --> 01:13:00,679
Speaker 1: and we've seen some arrests and prosecutions. They're very rare,

1391
01:13:01,080 --> 01:13:02,880
Speaker 1: and usually we see them on a federal level, but

1392
01:13:03,120 --> 01:13:06,800
Speaker 1: it's obviously happening. The problem is there's a large contingency

1393
01:13:06,840 --> 01:13:09,519
Speaker 1: of people in Seattle who are sympathetic to the cause.

1394
01:13:09,800 --> 01:13:12,960
Speaker 1: They might not agree with all of the tactics. They

1395
01:13:13,000 --> 01:13:16,880
Speaker 1: don't support the violence per se, but they can justify it.

1396
01:13:17,320 --> 01:13:20,400
Speaker 1: And that is a dangerous place to be where you

1397
01:13:20,479 --> 01:13:23,960
Speaker 1: can say, Okay, I don't like violence, but in this case,

1398
01:13:24,080 --> 01:13:26,640
Speaker 1: we'll give it a pass because their hearts are in

1399
01:13:26,680 --> 01:13:31,080
Speaker 1: the right place. What happened really with the chaz meaning

1400
01:13:31,479 --> 01:13:33,920
Speaker 1: we know that they set up this Capitol Hill, which

1401
01:13:33,960 --> 01:13:36,439
Speaker 1: is so confusing for East Coasters because we all assume

1402
01:13:36,560 --> 01:13:39,640
Speaker 1: we hear Capitol Hill. We think obviously where Congress is

1403
01:13:39,640 --> 01:13:42,320
Speaker 1: in the Capitol Building. But the Capitol Hill Autonomous Zone

1404
01:13:42,360 --> 01:13:44,320
Speaker 1: the CHAZ, which I know they changed to the CHOP

1405
01:13:44,400 --> 01:13:47,320
Speaker 1: the Capitol Hill occupy protests for like a couple of days.

1406
01:13:47,400 --> 01:13:49,400
Speaker 1: I think they went back because CHATZ sounded better than

1407
01:13:50,040 --> 01:13:51,840
Speaker 1: was the one they settled with, which does sound better

1408
01:13:51,880 --> 01:13:55,160
Speaker 1: than it does sound better, but it went away, but

1409
01:13:55,240 --> 01:13:57,280
Speaker 1: then there's an effort to bring it back. Is that

1410
01:13:57,520 --> 01:14:00,559
Speaker 1: Where does it stand right now? So it doesn't exist anymore,

1411
01:14:00,640 --> 01:14:03,400
Speaker 1: there's no occupied zone, but it is still the center

1412
01:14:03,680 --> 01:14:07,800
Speaker 1: of where when they do try to engage in their activism,

1413
01:14:08,040 --> 01:14:10,559
Speaker 1: they usually show up right outside of the East Precinct,

1414
01:14:10,600 --> 01:14:13,479
Speaker 1: which is the police station within that zone that they've

1415
01:14:13,520 --> 01:14:16,200
Speaker 1: been trying to drive out of the community, which of

1416
01:14:16,240 --> 01:14:18,760
Speaker 1: course would be a total disaster, but that's where they

1417
01:14:18,840 --> 01:14:21,680
Speaker 1: generally go. Now. Across the street is a park it's

1418
01:14:21,680 --> 01:14:24,200
Speaker 1: called cal Anderson Park, which again was part of the zone.

1419
01:14:24,600 --> 01:14:26,920
Speaker 1: A few weeks ago, probably at this point six to

1420
01:14:27,000 --> 01:14:29,799
Speaker 1: eight weeks ago or so, there was a homeless encampment

1421
01:14:29,880 --> 01:14:33,040
Speaker 1: there that they built a wall around ironically, and they

1422
01:14:33,120 --> 01:14:36,120
Speaker 1: try to occupy it. This time the city said no, no, no,

1423
01:14:36,240 --> 01:14:37,560
Speaker 1: we're not going to allow you to do that, so

1424
01:14:37,680 --> 01:14:41,840
Speaker 1: they took over. It's amazing, it's insane that this is

1425
01:14:42,560 --> 01:14:45,960
Speaker 1: what a modern American city will go through. What I mean,

1426
01:14:46,040 --> 01:14:49,840
Speaker 1: you talk obviously to people in law enforcement in Seattle.

1427
01:14:49,840 --> 01:14:51,280
Speaker 1: I mean, this is your hometown, right, this is where

1428
01:14:51,320 --> 01:14:54,439
Speaker 1: you're based out of. What do the cops think about this? Well,

1429
01:14:54,560 --> 01:14:56,200
Speaker 1: I mean from you know, from the rank and file

1430
01:14:56,240 --> 01:14:58,000
Speaker 1: all the way up to the top. Well, I'll give

1431
01:14:58,040 --> 01:15:01,080
Speaker 1: you this. We had a historic number of officers leaving

1432
01:15:01,120 --> 01:15:03,240
Speaker 1: the Seattle Police Department. Last year. You had one hundred

1433
01:15:03,240 --> 01:15:05,160
Speaker 1: and ninety seven. Now, to put that in context, we

1434
01:15:05,240 --> 01:15:08,080
Speaker 1: had a crisis of staffing about two three years ago

1435
01:15:08,400 --> 01:15:10,720
Speaker 1: and that number was one hundred and ten. So it

1436
01:15:10,920 --> 01:15:13,560
Speaker 1: is getting worse. There's no sign that it's stopping. The

1437
01:15:13,640 --> 01:15:16,880
Speaker 1: police don't want to work in Seattle because they don't.

1438
01:15:17,120 --> 01:15:19,800
Speaker 1: No one has their backs at all. I mean, you've

1439
01:15:19,800 --> 01:15:22,840
Speaker 1: got a council that this story is maddening to me

1440
01:15:22,880 --> 01:15:24,960
Speaker 1: because no one knows about it, because only a few

1441
01:15:24,960 --> 01:15:26,600
Speaker 1: of us were actually talking about it. And thanks to

1442
01:15:26,680 --> 01:15:28,800
Speaker 1: Fox News, who actually were able to get it out there.

1443
01:15:29,040 --> 01:15:31,400
Speaker 1: You had a group of Antifa thugs who use quick

1444
01:15:31,439 --> 01:15:34,920
Speaker 1: dry cement to seal shut the door to the East precinct,

1445
01:15:34,960 --> 01:15:36,680
Speaker 1: while at the same time, on the other side of

1446
01:15:36,720 --> 01:15:39,479
Speaker 1: the building, you had activists trying to set fire to it.

1447
01:15:40,160 --> 01:15:43,800
Speaker 1: They try to burn people inside of that police precinct alive,

1448
01:15:43,880 --> 01:15:47,439
Speaker 1: and not a single council member said anything. I reached

1449
01:15:47,439 --> 01:15:49,240
Speaker 1: out to every single one. I thought, this one, you

1450
01:15:49,320 --> 01:15:51,400
Speaker 1: know what, everyone could come together. This is wrong, this

1451
01:15:51,520 --> 01:15:55,160
Speaker 1: is attempted murder. Not a single one said anything, and

1452
01:15:55,320 --> 01:15:58,040
Speaker 1: that for a lot of cops said it all and

1453
01:15:58,120 --> 01:16:00,679
Speaker 1: they decided, yeah, I'm done. They were waiting for that straw.

1454
01:16:00,760 --> 01:16:03,240
Speaker 1: And that was that unbelievable do you have We're speaking

1455
01:16:03,240 --> 01:16:06,600
Speaker 1: of Jason Rants. He's a host on k T th

1456
01:16:07,240 --> 01:16:13,000
Speaker 1: and so so Jason is Seattle in a decline the

1457
01:16:13,160 --> 01:16:16,720
Speaker 1: way that other major American cities are because of the

1458
01:16:16,880 --> 01:16:19,800
Speaker 1: woke madness de Blasio's New York City. We had the

1459
01:16:19,880 --> 01:16:23,960
Speaker 1: purge night. It happened, all my block storefronts destroyed. NYPD

1460
01:16:24,680 --> 01:16:28,240
Speaker 1: furious beyond words because they were basically both overwhelmed and

1461
01:16:28,520 --> 01:16:30,120
Speaker 1: knew that they didn't have the backing to do what

1462
01:16:30,160 --> 01:16:31,920
Speaker 1: they had to do, which is, you know, you got

1463
01:16:32,000 --> 01:16:34,000
Speaker 1: to throw people in flex cuffs and arrest them, and

1464
01:16:34,080 --> 01:16:37,120
Speaker 1: you need overwhelming fort You need overwhelming for us, otherwise

1465
01:16:37,160 --> 01:16:41,280
Speaker 1: you get mobbed. And that's what happens San Francisco, everybody

1466
01:16:41,360 --> 01:16:43,479
Speaker 1: knows about. I don't know what else to say on them.

1467
01:16:43,520 --> 01:16:46,120
Speaker 1: The poop app where you're finding and just want a mess.

1468
01:16:46,160 --> 01:16:48,160
Speaker 1: Everything literally would a mess. Everything is on the streets

1469
01:16:48,240 --> 01:16:50,880
Speaker 1: there and people are fleeing in large numbers, hundreds of

1470
01:16:50,960 --> 01:16:54,160
Speaker 1: thousands where Seattle on that order, do people kind of

1471
01:16:54,280 --> 01:16:58,800
Speaker 1: embrace the vagrancy and the insanity because that's where their

1472
01:16:58,800 --> 01:17:01,080
Speaker 1: politics are and so they're not yet fleeing. This is

1473
01:17:01,160 --> 01:17:03,559
Speaker 1: where you really do have to live there to fully

1474
01:17:03,680 --> 01:17:06,840
Speaker 1: understand the weird dynamic, because on the one hand, you

1475
01:17:06,960 --> 01:17:10,040
Speaker 1: absolutely have people who want to pretend that it is

1476
01:17:10,120 --> 01:17:12,800
Speaker 1: somehow compassionate to allow people to sleep out on the

1477
01:17:12,840 --> 01:17:15,600
Speaker 1: streets and in parks and in alleyways, because if you

1478
01:17:15,640 --> 01:17:18,599
Speaker 1: were to move them or clean up any of their trash,

1479
01:17:18,720 --> 01:17:21,040
Speaker 1: they'll say, that's not trash, that's their personal belongings. We

1480
01:17:21,080 --> 01:17:23,479
Speaker 1: have to treat these people with compassion. They're human beings,

1481
01:17:23,760 --> 01:17:26,720
Speaker 1: which is weird because that level of compassion means you're

1482
01:17:26,760 --> 01:17:29,479
Speaker 1: staying out on the streets and you're living in filth, right,

1483
01:17:30,000 --> 01:17:32,920
Speaker 1: But then you also have a vacancy rate in apartments,

1484
01:17:32,960 --> 01:17:35,080
Speaker 1: which is really what you can track if you want

1485
01:17:35,120 --> 01:17:37,840
Speaker 1: to know if people are leaving, and it's through the roof.

1486
01:17:38,240 --> 01:17:40,320
Speaker 1: You have in the downtown in South Lake Union Area

1487
01:17:40,439 --> 01:17:44,080
Speaker 1: hitting ten percent vacancy rates for those apartments they're fleeing.

1488
01:17:44,240 --> 01:17:46,639
Speaker 1: Don't know where they're going yet. We're starting to see

1489
01:17:46,720 --> 01:17:50,120
Speaker 1: some anecdotal data that people are leaving Washington State, but

1490
01:17:50,280 --> 01:17:53,439
Speaker 1: for the most part that neighborhood is occupied by Amazon workers.

1491
01:17:53,800 --> 01:17:57,640
Speaker 1: Amazon has been closed down for in person visits for

1492
01:17:58,000 --> 01:18:00,360
Speaker 1: a year. So when you start to think about, Okay,

1493
01:18:00,400 --> 01:18:03,280
Speaker 1: do I want to spend twenty five hundred three thousand

1494
01:18:03,320 --> 01:18:06,080
Speaker 1: dollars a month on a small studio apartment when I

1495
01:18:06,160 --> 01:18:08,400
Speaker 1: can't use any of the amenities because every single park

1496
01:18:08,479 --> 01:18:10,360
Speaker 1: nearby is taken over by the homeless. We have a

1497
01:18:10,439 --> 01:18:12,960
Speaker 1: city where we have just hit a twenty six year

1498
01:18:13,040 --> 01:18:16,240
Speaker 1: high homicide rate. We've got crime just going through the roof.

1499
01:18:16,520 --> 01:18:19,439
Speaker 1: They're saying no, and they're moving. My suspicion is they're

1500
01:18:19,439 --> 01:18:21,799
Speaker 1: just moving across the lake. I mean, they're going into Belvie,

1501
01:18:21,840 --> 01:18:25,000
Speaker 1: the greater east side of King County, which is more affordable,

1502
01:18:25,439 --> 01:18:28,320
Speaker 1: much more beautiful, and you've got a council that actually cares.

1503
01:18:28,600 --> 01:18:31,720
Speaker 1: Is there a sense that the blue state mentality though

1504
01:18:32,040 --> 01:18:35,679
Speaker 1: that that obviously is pervasive in Seattle? Are more people,

1505
01:18:35,720 --> 01:18:37,120
Speaker 1: so I will tell you this. I was a part

1506
01:18:37,200 --> 01:18:39,479
Speaker 1: of a of a Have you done any of these

1507
01:18:39,520 --> 01:18:42,679
Speaker 1: clubhouse calls or I have been working in the background.

1508
01:18:42,840 --> 01:18:45,400
Speaker 1: I just did a clubhouse call with a bunch of

1509
01:18:45,479 --> 01:18:48,720
Speaker 1: other lifelong New Yorkers in media, including people somebody who

1510
01:18:48,720 --> 01:18:52,120
Speaker 1: actually worked at the Washington Works, the Washington Post, people

1511
01:18:52,200 --> 01:18:53,760
Speaker 1: from New York Post. I mean, but you know a

1512
01:18:53,800 --> 01:18:56,920
Speaker 1: lot of media people. And it was all the one

1513
01:18:57,040 --> 01:18:59,759
Speaker 1: unifying characteristic of everybody in the call who was speaking

1514
01:19:00,439 --> 01:19:03,760
Speaker 1: was I love New York. I think it's in big

1515
01:19:03,840 --> 01:19:06,240
Speaker 1: trouble and and I'm willing to say that even if

1516
01:19:06,280 --> 01:19:08,960
Speaker 1: there were some Democrats are part of this too. Is

1517
01:19:09,120 --> 01:19:13,120
Speaker 1: that happening where you are? Are even Democrats starting to

1518
01:19:13,200 --> 01:19:17,080
Speaker 1: realize this can't we can't have the chop or the

1519
01:19:17,200 --> 01:19:19,400
Speaker 1: chats or whatever. We can't have this. More of them

1520
01:19:19,439 --> 01:19:22,320
Speaker 1: are starting to realize that. And it's always been interesting.

1521
01:19:22,360 --> 01:19:24,800
Speaker 1: I talked to a activist about a month ago. Her

1522
01:19:24,880 --> 01:19:27,280
Speaker 1: name is Andreas Suarez, and she started a group called

1523
01:19:27,400 --> 01:19:30,680
Speaker 1: I Love Downtown Seattle, and she explained to me that

1524
01:19:31,200 --> 01:19:33,680
Speaker 1: once the pandemic hit and everyone for the most part

1525
01:19:33,760 --> 01:19:35,880
Speaker 1: was staying at home except for the homeless, when she

1526
01:19:35,960 --> 01:19:39,120
Speaker 1: would walk in her neighborhood of downtown Seattle, she realized

1527
01:19:39,200 --> 01:19:41,600
Speaker 1: how bad it actually was and it finally kind of

1528
01:19:41,680 --> 01:19:45,200
Speaker 1: hit her to say, this can't continue. We've got people

1529
01:19:45,200 --> 01:19:47,599
Speaker 1: who are wandering around like their zombies because they're high

1530
01:19:47,600 --> 01:19:49,719
Speaker 1: out of their minds and they're living out on the streets.

1531
01:19:49,720 --> 01:19:52,720
Speaker 1: And when that's all you see, then you do have

1532
01:19:52,880 --> 01:19:56,600
Speaker 1: that lightbulb moment. It's not happening fast enough, though. I

1533
01:19:56,760 --> 01:19:58,640
Speaker 1: keep saying people say, you know things are going to

1534
01:19:58,680 --> 01:20:00,960
Speaker 1: turn around. I don't think we've at rock bottom yet,

1535
01:20:01,479 --> 01:20:03,360
Speaker 1: and that's what we need to do in order to

1536
01:20:03,400 --> 01:20:06,080
Speaker 1: see a significant shift. And that we haven't hit rock

1537
01:20:06,160 --> 01:20:09,160
Speaker 1: bottom with what we're currently going through is terrifying to

1538
01:20:09,240 --> 01:20:11,400
Speaker 1: me because I live in Seattle. I'm not a Seattle

1539
01:20:11,439 --> 01:20:13,439
Speaker 1: talk show host who lives in the suburb. I live

1540
01:20:13,479 --> 01:20:15,240
Speaker 1: in the heart of Seattle, and I'm seeing this every

1541
01:20:15,280 --> 01:20:17,759
Speaker 1: single day. I live right next to Times Square, Manhattan

1542
01:20:17,800 --> 01:20:19,400
Speaker 1: the same thing. So I feel like I'm right near

1543
01:20:19,479 --> 01:20:23,639
Speaker 1: the pulsing heart which now is corroded. Yeah, and it's

1544
01:20:23,720 --> 01:20:29,160
Speaker 1: increasing increasingly smelly and not healthy. But anyway, Jason, Yeah,

1545
01:20:29,640 --> 01:20:32,280
Speaker 1: there we go, Jason Rance. Jason, thanks so much for

1546
01:20:32,320 --> 01:20:33,680
Speaker 1: all your work. We really appreciate it. Thank you for

1547
01:20:33,760 --> 01:20:37,120
Speaker 1: having me. I really do appreciate it. This is the

1548
01:20:37,280 --> 01:20:42,639
Speaker 1: Buck Sexton Shoe Podcast. Follow Buck on Facebook, Instagram, and Twitter.

1549
01:20:43,640 --> 01:20:47,400
Speaker 1: Are continuing with our trend of fantastic guests here in

1550
01:20:47,560 --> 01:20:49,800
Speaker 1: person with me right next to me. Today here at

1551
01:20:49,840 --> 01:20:53,160
Speaker 1: Seapack in Orlando, we've got my friend John Lot. He

1552
01:20:53,360 --> 01:20:55,280
Speaker 1: is the author, of course of More Guns, Less Crime.

1553
01:20:55,400 --> 01:20:58,519
Speaker 1: His latest book is Gun Control Myths, and you can

1554
01:20:58,600 --> 01:21:02,240
Speaker 1: read his research at crimeresearch dot org. John. Great to

1555
01:21:02,240 --> 01:21:04,679
Speaker 1: see it, Great to see you again, Buck. So we're

1556
01:21:04,720 --> 01:21:08,559
Speaker 1: all expecting that there are going to be some major

1557
01:21:08,960 --> 01:21:12,479
Speaker 1: gun control efforts from this Biden administration. They've talked about it,

1558
01:21:12,560 --> 01:21:15,760
Speaker 1: they were talking about it certainly during the campaign in

1559
01:21:15,800 --> 01:21:18,599
Speaker 1: twenty twenty. What have we seen so far and where

1560
01:21:18,600 --> 01:21:20,479
Speaker 1: do you think this is going to go? Well, one

1561
01:21:20,520 --> 01:21:22,840
Speaker 1: thing that they've done so far, I don't know if

1562
01:21:22,840 --> 01:21:25,960
Speaker 1: you remember Operation Choke Point at the end of the

1563
01:21:26,040 --> 01:21:29,720
Speaker 1: Obama administration where basically the federal government put pressure on

1564
01:21:29,920 --> 01:21:34,519
Speaker 1: financial institutions not to do business with companies that the

1565
01:21:35,240 --> 01:21:38,800
Speaker 1: Obama administration didn't approve of. So, like, you know, a

1566
01:21:38,920 --> 01:21:42,960
Speaker 1: company may find that financial institutions would refuse to handle

1567
01:21:43,560 --> 01:21:47,559
Speaker 1: credit cards from customers, or handle checks, or not even

1568
01:21:47,640 --> 01:21:52,360
Speaker 1: given them a check encounter or loans. Trump ended that policy,

1569
01:21:53,000 --> 01:21:56,920
Speaker 1: and he was in the process of finalizing regulations that

1570
01:21:57,080 --> 01:22:00,360
Speaker 1: forbid the federal government from engaging in that type of

1571
01:22:00,439 --> 01:22:05,080
Speaker 1: discrimination against law abiding companies they're producing law lawful products.

1572
01:22:05,680 --> 01:22:09,519
Speaker 1: The problem is the final rules were set to be

1573
01:22:09,680 --> 01:22:12,679
Speaker 1: published in the Federal Register a couple of weeks ago,

1574
01:22:13,200 --> 01:22:16,360
Speaker 1: and right before they were supposed to come out, the

1575
01:22:16,479 --> 01:22:21,320
Speaker 1: Biden administration pulled them. And so presumably they'll be able

1576
01:22:21,360 --> 01:22:24,920
Speaker 1: to go back to going and targeting companies or whatever

1577
01:22:25,000 --> 01:22:29,000
Speaker 1: that they don't find politically attractive there. You know, it's

1578
01:22:29,040 --> 01:22:32,360
Speaker 1: just a way of using the regulatory power of the

1579
01:22:32,439 --> 01:22:36,360
Speaker 1: government to put out a business gun makers and gun sellers,

1580
01:22:36,560 --> 01:22:39,080
Speaker 1: or people in the energy business or whatever that they

1581
01:22:39,160 --> 01:22:42,200
Speaker 1: don't approve of. What do you think the chances are

1582
01:22:42,280 --> 01:22:44,799
Speaker 1: that we're going to be faced with a real effort

1583
01:22:44,880 --> 01:22:47,200
Speaker 1: at an assault weapons ban, you know, some of the

1584
01:22:47,880 --> 01:22:50,400
Speaker 1: big ticket items if you will, that the left always

1585
01:22:50,439 --> 01:22:52,920
Speaker 1: the Democrats always talk about when it comes to gun control,

1586
01:22:52,960 --> 01:22:54,800
Speaker 1: is there is there a serious effort you think that

1587
01:22:54,880 --> 01:22:58,800
Speaker 1: will be underway to do that. I don't think legislatively

1588
01:22:59,000 --> 01:23:02,240
Speaker 1: you'll get something that through. I think the things that

1589
01:23:02,320 --> 01:23:04,880
Speaker 1: they'll do are just to try to make it more

1590
01:23:04,960 --> 01:23:07,280
Speaker 1: costly for people to have guns. And we can talk

1591
01:23:07,320 --> 01:23:09,960
Speaker 1: about some of the bills I think might go through.

1592
01:23:10,680 --> 01:23:14,280
Speaker 1: But with the tutory changes, well, what to tell me?

1593
01:23:14,360 --> 01:23:15,680
Speaker 1: Tell me the bills that we'll go through them, we'll

1594
01:23:15,720 --> 01:23:17,920
Speaker 1: get into executive orders and regulatory issues. I think the

1595
01:23:18,000 --> 01:23:21,400
Speaker 1: one that's probably most likely to get through is background

1596
01:23:21,479 --> 01:23:25,160
Speaker 1: checks on the private transfers of guns. You know, um

1597
01:23:25,479 --> 01:23:27,760
Speaker 1: in DC where they already have it, it costs one

1598
01:23:27,840 --> 01:23:30,360
Speaker 1: hundred and twenty five dollars to privately transfer a gun

1599
01:23:30,720 --> 01:23:33,640
Speaker 1: just to do the background check. Uh. It's one thing

1600
01:23:33,680 --> 01:23:35,680
Speaker 1: that I actually try to work on when I was

1601
01:23:35,800 --> 01:23:41,639
Speaker 1: in the Trump administration. You know, the deep state is there.

1602
01:23:42,400 --> 01:23:44,519
Speaker 1: I just give you one story from when I was there.

1603
01:23:46,680 --> 01:23:49,760
Speaker 1: I convinced the Bureau of Justice Statistics to try to

1604
01:23:49,920 --> 01:23:56,000
Speaker 1: get data on the false positives for the background checks.

1605
01:23:56,040 --> 01:23:59,040
Speaker 1: Because we will hear constantly about three and a half

1606
01:23:59,080 --> 01:24:02,080
Speaker 1: million dangerous inhibited people have been stopped from buying guns,

1607
01:24:02,439 --> 01:24:04,519
Speaker 1: and that's simply not true. What they should say is

1608
01:24:04,520 --> 01:24:06,840
Speaker 1: there have been three and a half million initial denials

1609
01:24:07,280 --> 01:24:10,400
Speaker 1: and something over ninety nine percent of those are false positives,

1610
01:24:10,760 --> 01:24:14,960
Speaker 1: and it's particularly minority mails that are being discriminated against.

1611
01:24:15,280 --> 01:24:17,400
Speaker 1: And so when I was in Washington, I tried to

1612
01:24:17,560 --> 01:24:24,599
Speaker 1: get data on the false positives that are there the FBI.

1613
01:24:24,960 --> 01:24:27,120
Speaker 1: We got the Bureau of Justice Statistics to ask the

1614
01:24:27,200 --> 01:24:30,760
Speaker 1: FBI for the data. The FBI first of all try

1615
01:24:30,800 --> 01:24:34,400
Speaker 1: to convince us that nobody would be interested in, you know,

1616
01:24:34,479 --> 01:24:37,400
Speaker 1: the rate that black mails and Hispanic mails are being

1617
01:24:37,479 --> 01:24:41,479
Speaker 1: discriminated against in the background check system. And then they

1618
01:24:41,560 --> 01:24:44,640
Speaker 1: went silent for about five weeks and then finally got

1619
01:24:44,720 --> 01:24:48,600
Speaker 1: back to us two days after the election and insisted

1620
01:24:48,680 --> 01:24:53,240
Speaker 1: that the that the Bureau of Justice Statistics had to

1621
01:24:53,320 --> 01:24:57,040
Speaker 1: do a foyer request from the FBI to go and

1622
01:24:57,160 --> 01:25:00,320
Speaker 1: get the data. And of course nobody you had ever

1623
01:25:00,400 --> 01:25:02,720
Speaker 1: heard of something like that. And then they told us

1624
01:25:03,040 --> 01:25:04,680
Speaker 1: that we weren't going to be able to get it

1625
01:25:04,760 --> 01:25:08,240
Speaker 1: anyway until after January twentieth, and they assured us that

1626
01:25:08,320 --> 01:25:11,719
Speaker 1: the Biden administration would not be interested in that type

1627
01:25:11,720 --> 01:25:15,080
Speaker 1: of data. So just one of many stories I can

1628
01:25:15,120 --> 01:25:18,640
Speaker 1: tell you from kind of uh, kind of the politicization

1629
01:25:18,760 --> 01:25:21,360
Speaker 1: of the FBI that's there, But I think that's probably

1630
01:25:21,400 --> 01:25:24,200
Speaker 1: the one. You got the Tomy mansion bill that's going

1631
01:25:24,280 --> 01:25:26,680
Speaker 1: to come up again, and I think that's one thing

1632
01:25:26,800 --> 01:25:29,840
Speaker 1: that's there. So are they are they going to come

1633
01:25:29,880 --> 01:25:32,280
Speaker 1: after people's guns? I mean, this is always the concern.

1634
01:25:32,800 --> 01:25:36,280
Speaker 1: Are there any realistic chances you think that they're going

1635
01:25:36,360 --> 01:25:39,760
Speaker 1: to try a mandatory buy back program through executive order

1636
01:25:39,800 --> 01:25:42,520
Speaker 1: to clare a you know, a gun violent state of emergency?

1637
01:25:42,560 --> 01:25:45,520
Speaker 1: I mean, what are people worried about? The more radical possibilities?

1638
01:25:46,000 --> 01:25:48,680
Speaker 1: I think I think the one that they're likely to

1639
01:25:48,880 --> 01:25:54,799
Speaker 1: do is h is classifying different weapons as as Class

1640
01:25:54,880 --> 01:25:57,479
Speaker 1: three weapons. You know what that is is basically machine

1641
01:25:57,520 --> 01:26:02,560
Speaker 1: guns right now, but during the campaign, Biden wanting to

1642
01:26:02,720 --> 01:26:07,160
Speaker 1: classify semi automatic rifles as Class three and magazines that

1643
01:26:07,320 --> 01:26:10,040
Speaker 1: hold over ten rounds. So that would require a two

1644
01:26:10,120 --> 01:26:12,760
Speaker 1: hundred dollars fee for each of those items that you

1645
01:26:12,800 --> 01:26:16,799
Speaker 1: would have, and you'd have to register and license them. Basically,

1646
01:26:16,840 --> 01:26:19,439
Speaker 1: it's about a nine month approval process right now to

1647
01:26:19,520 --> 01:26:21,880
Speaker 1: go through it. I assume if they expand it the

1648
01:26:21,960 --> 01:26:27,760
Speaker 1: way they would would dramatically increase that time. I'm sure

1649
01:26:27,800 --> 01:26:31,000
Speaker 1: they'll be lawsuits if they try to do something like that.

1650
01:26:31,640 --> 01:26:34,600
Speaker 1: But the problem is is that the Democrats control the

1651
01:26:34,760 --> 01:26:37,960
Speaker 1: DC Circuit where everything goes through, and you're you know,

1652
01:26:38,040 --> 01:26:40,960
Speaker 1: there was seven to four Democratic majority on that court,

1653
01:26:41,600 --> 01:26:44,400
Speaker 1: and you know it could be four or five years

1654
01:26:44,520 --> 01:26:47,400
Speaker 1: before something like that would eventually get to the Supreme Court,

1655
01:26:47,479 --> 01:26:50,760
Speaker 1: and so for some period of time they would be

1656
01:26:50,840 --> 01:26:55,320
Speaker 1: able to go and impose attacks and require registration licensing

1657
01:26:55,400 --> 01:26:58,719
Speaker 1: of the guns and items that they wanted to classify

1658
01:26:58,800 --> 01:27:01,240
Speaker 1: that way. Speaking to John, his latest book is Gun

1659
01:27:01,360 --> 01:27:04,320
Speaker 1: Control Myths, and you've got a crime research dot org

1660
01:27:04,479 --> 01:27:06,960
Speaker 1: for his latest research. John, it we got about a

1661
01:27:07,080 --> 01:27:10,000
Speaker 1: minute left or so. I just wrote a book, Gun

1662
01:27:10,040 --> 01:27:13,320
Speaker 1: control Myths. What is the what is the gun control

1663
01:27:13,439 --> 01:27:15,640
Speaker 1: myth that you find is the most pernicious or I

1664
01:27:15,640 --> 01:27:18,800
Speaker 1: mean the one that just drives you crazy that people

1665
01:27:18,920 --> 01:27:22,519
Speaker 1: believe or that's out there and it's just not true. Well,

1666
01:27:22,720 --> 01:27:24,320
Speaker 1: it's hard to pick one, but if I were to

1667
01:27:24,360 --> 01:27:26,759
Speaker 1: pick one, I'd say the notion that the United States

1668
01:27:26,880 --> 01:27:30,479
Speaker 1: is somehow unique in terms of mass public shootings. We

1669
01:27:30,680 --> 01:27:32,840
Speaker 1: make up about four and a half percent of the

1670
01:27:32,880 --> 01:27:35,599
Speaker 1: world population, but we actually make up less than one

1671
01:27:35,680 --> 01:27:39,240
Speaker 1: percent of the world's mass public shootings and fatalities from

1672
01:27:39,240 --> 01:27:43,360
Speaker 1: those attacks. You know, even Europe, you know, these cases

1673
01:27:43,439 --> 01:27:47,200
Speaker 1: just don't get news coverage. I mean, France had more

1674
01:27:47,400 --> 01:27:51,880
Speaker 1: casualties from mass public shootings in twenty fifteen than the

1675
01:27:52,000 --> 01:27:54,479
Speaker 1: United States had during the entire eight years of the

1676
01:27:54,520 --> 01:27:57,800
Speaker 1: Obama presidency, at five hundred and thirty two compared to

1677
01:27:58,120 --> 01:28:00,880
Speaker 1: five hundred and twenty seven casualties in the United States.

1678
01:28:01,360 --> 01:28:06,200
Speaker 1: You know, Russia has casualties from mass public shootings that's

1679
01:28:06,200 --> 01:28:09,280
Speaker 1: about fifty percent higher than the rate in the United States.

1680
01:28:09,640 --> 01:28:13,200
Speaker 1: You don't hear about university shootings or school shootings that

1681
01:28:13,280 --> 01:28:15,639
Speaker 1: occur in Russia. I mean, they may get one little

1682
01:28:15,800 --> 01:28:18,519
Speaker 1: story and buried in the back of a newspaper here

1683
01:28:18,560 --> 01:28:21,080
Speaker 1: in the United States. And yet a country like Russia

1684
01:28:21,160 --> 01:28:25,479
Speaker 1: has incredibly strict gun control. You have other countries in

1685
01:28:25,840 --> 01:28:31,840
Speaker 1: in Western Europe, that Eastern Europe that have very high rates.

1686
01:28:33,000 --> 01:28:35,559
Speaker 1: So we aren't we aren't some anomaly with mass shootings

1687
01:28:35,600 --> 01:28:37,840
Speaker 1: that don't happen anywhere else. And the media always seems

1688
01:28:37,840 --> 01:28:40,200
Speaker 1: to suggest that that is the case for more gun

1689
01:28:40,280 --> 01:28:43,080
Speaker 1: control myths busted. You should go check out John's book

1690
01:28:43,400 --> 01:28:45,800
Speaker 1: Gun Control Myths and got a Crime Research dot Org. John,

1691
01:28:46,000 --> 01:28:48,080
Speaker 1: Good to see you man in person. Great to see you.

1692
01:28:48,280 --> 01:28:52,240
Speaker 1: Thanks for having me on. You're listening to the Buck

1693
01:28:52,320 --> 01:28:55,599
Speaker 1: Sexton Show podcast. Make sure you subscribe to the podcast

1694
01:28:55,680 --> 01:28:59,000
Speaker 1: on the iHeart Radio app or wherever you get your podcasts.

1695
01:28:59,479 --> 01:29:02,200
Speaker 1: All right, road call Facebook dot com, slash buck sex

1696
01:29:02,320 --> 01:29:04,439
Speaker 1: in until they kick me off Facebook forever for telling

1697
01:29:04,479 --> 01:29:07,920
Speaker 1: you the truth, or Team Bucket iHeartMedia dot com. Hopefully

1698
01:29:07,920 --> 01:29:09,439
Speaker 1: they're not going to kick us off the servers there,

1699
01:29:09,479 --> 01:29:11,400
Speaker 1: so we'll still have an email address. It's the world

1700
01:29:11,400 --> 01:29:13,440
Speaker 1: we live in now. We've got to use the communications

1701
01:29:13,520 --> 01:29:17,840
Speaker 1: platforms we've got while we've got them. So that's where

1702
01:29:17,880 --> 01:29:19,960
Speaker 1: we That's where we are with all this stuff. And

1703
01:29:20,560 --> 01:29:23,120
Speaker 1: now let's let's get into it. I canna tell you,

1704
01:29:23,240 --> 01:29:25,960
Speaker 1: it's so nice to be down here and in sunny

1705
01:29:26,000 --> 01:29:30,800
Speaker 1: Florida at Sea pack in Orlando. Producer Mark, It's um,

1706
01:29:31,520 --> 01:29:33,960
Speaker 1: it's looking good here, man. I don't know. I think

1707
01:29:34,000 --> 01:29:35,880
Speaker 1: I think you and missus Mark would be very happy.

1708
01:29:36,320 --> 01:29:38,720
Speaker 1: Maybe Coco Beach a little east if here. It's pretty nice,

1709
01:29:39,360 --> 01:29:41,439
Speaker 1: and we'd be very close to Disney and Universal. I

1710
01:29:41,520 --> 01:29:44,880
Speaker 1: love those parks, you know, I've never been to either. Really,

1711
01:29:44,920 --> 01:29:46,800
Speaker 1: and you're in Orlando, you gotta go, you gotta go

1712
01:29:46,840 --> 01:29:50,680
Speaker 1: over now. I don't think they're open. Yeah they are. Oh, no,

1713
01:29:50,800 --> 01:29:53,080
Speaker 1: of course they are. It's Florida. That's what happens when

1714
01:29:53,120 --> 01:29:55,080
Speaker 1: you when you're from New York, You're like, nothing is open.

1715
01:29:55,120 --> 01:29:56,559
Speaker 1: Then you got to Florida, you go, wait a second,

1716
01:29:56,600 --> 01:30:00,680
Speaker 1: it's all open. And I hadn't even thought I had

1717
01:30:00,760 --> 01:30:04,160
Speaker 1: even thought about that one. Um. Well, anyway, it's really

1718
01:30:04,240 --> 01:30:07,120
Speaker 1: nice here, having a good time, enjoying myself, and uh,

1719
01:30:07,439 --> 01:30:09,519
Speaker 1: I'm seeing a lot of friends, which is great people

1720
01:30:09,560 --> 01:30:11,840
Speaker 1: that it's nice to touch base with them and say

1721
01:30:11,880 --> 01:30:13,960
Speaker 1: thank you for all the hits they do on the

1722
01:30:14,080 --> 01:30:16,519
Speaker 1: radio show and seeing them in person, and also just

1723
01:30:16,560 --> 01:30:19,080
Speaker 1: seeing some of the people who listen to this show. Uh,

1724
01:30:19,680 --> 01:30:22,720
Speaker 1: you know you really we've all been so isolated the

1725
01:30:22,800 --> 01:30:25,320
Speaker 1: last year. I mean, basically, my only friend every day

1726
01:30:25,439 --> 01:30:28,600
Speaker 1: is producer Mark and Tallulah. There's the only people I

1727
01:30:28,680 --> 01:30:30,840
Speaker 1: hang out with every day. So you can imagine it's

1728
01:30:30,920 --> 01:30:34,040
Speaker 1: nice to see human beings. Mark, You're still you know,

1729
01:30:34,280 --> 01:30:36,800
Speaker 1: in the cave in Jersey. But you're all right, yeah,

1730
01:30:36,840 --> 01:30:39,519
Speaker 1: you're You're my only friend now, you know, Yeah, I

1731
01:30:39,560 --> 01:30:41,439
Speaker 1: know that's Mark and I hang out with each other

1732
01:30:41,520 --> 01:30:43,080
Speaker 1: every day and then all the rest of you get

1733
01:30:43,080 --> 01:30:45,640
Speaker 1: to hear it. Um. But let's let's get into what

1734
01:30:45,760 --> 01:30:47,320
Speaker 1: you think, what you have to say here, And like

1735
01:30:47,439 --> 01:30:51,439
Speaker 1: I said, please use the Facebook, um or you can

1736
01:30:51,479 --> 01:30:54,160
Speaker 1: obviously send me messages on Instagram to Mark's got all

1737
01:30:54,200 --> 01:30:57,160
Speaker 1: that stuff. Let's get to it, David, hey Buck. I

1738
01:30:57,280 --> 01:31:00,759
Speaker 1: live very close to my alma mater, the univer Versia Richmond,

1739
01:31:01,320 --> 01:31:03,599
Speaker 1: so I drive through the campus pretty regular to see

1740
01:31:03,640 --> 01:31:06,280
Speaker 1: what's going on. It's a small student population on a

1741
01:31:06,360 --> 01:31:08,840
Speaker 1: large campus, so there are mostly students walking alone and

1742
01:31:08,920 --> 01:31:13,160
Speaker 1: they're all wearing masks. They've been brainwashed. It's unbelievable. They're

1743
01:31:13,200 --> 01:31:15,960
Speaker 1: also glued to their phone while they're walking. I almost

1744
01:31:16,040 --> 01:31:18,160
Speaker 1: root for them to walk into a lightpost. It's very

1745
01:31:18,280 --> 01:31:20,800
Speaker 1: unsettling to see these young minds being controlled by the

1746
01:31:20,880 --> 01:31:23,439
Speaker 1: garbage they've been fed by the media. Keep up the

1747
01:31:23,479 --> 01:31:25,519
Speaker 1: great work you and produce your mark do. You're a

1748
01:31:25,600 --> 01:31:27,960
Speaker 1: great team. Well, David, thank you so much, and thank

1749
01:31:28,000 --> 01:31:30,559
Speaker 1: you for having such excellent taste in radio to listen

1750
01:31:30,600 --> 01:31:34,679
Speaker 1: to this show. And I will tell you this, it's

1751
01:31:34,840 --> 01:31:38,559
Speaker 1: very hard to know if someone is brainwashed or if

1752
01:31:38,640 --> 01:31:42,479
Speaker 1: they're just being forced. You know, I'm here in Florida,

1753
01:31:42,600 --> 01:31:46,439
Speaker 1: I have to get up and the moment when I'm

1754
01:31:46,479 --> 01:31:48,400
Speaker 1: sitting and broadcasting, I don't have to wear a mask

1755
01:31:48,439 --> 01:31:50,960
Speaker 1: because thank god, they realize that that would muffle my voice.

1756
01:31:51,280 --> 01:31:52,760
Speaker 1: And I mean, what's next, They're gonna make me wear

1757
01:31:52,800 --> 01:31:54,559
Speaker 1: a hat to cover up my hair? This is insane.

1758
01:31:55,040 --> 01:31:57,160
Speaker 1: Can't You're not buck without the voice in the hair? Right.

1759
01:31:57,200 --> 01:32:00,600
Speaker 1: That's how I feel, and I gotta I gotta do

1760
01:32:00,720 --> 01:32:03,680
Speaker 1: everything that I can do to just be compliance so

1761
01:32:03,760 --> 01:32:06,479
Speaker 1: that I can keep broadcasting and doing my show. But

1762
01:32:06,760 --> 01:32:09,000
Speaker 1: of course I think this is idiocy, and of course

1763
01:32:09,080 --> 01:32:12,200
Speaker 1: there's no medical or scientific reason. But you have a

1764
01:32:12,240 --> 01:32:14,520
Speaker 1: lot of things going on. You have fear of liability

1765
01:32:14,720 --> 01:32:18,400
Speaker 1: out there. Places don't want to get sued, and Democrats

1766
01:32:18,439 --> 01:32:20,519
Speaker 1: have been fighting every step of the way. Business is

1767
01:32:20,560 --> 01:32:23,840
Speaker 1: getting liability protection for COVID because they have power. They

1768
01:32:23,960 --> 01:32:30,840
Speaker 1: like power, So there's the liability protection issue. There's people

1769
01:32:30,840 --> 01:32:33,880
Speaker 1: who are truly terrified, and we all have to sort

1770
01:32:33,920 --> 01:32:35,680
Speaker 1: of bend the knee and make them feel better all

1771
01:32:35,720 --> 01:32:39,439
Speaker 1: the time, even though they're terror maybe deeply irrational, but

1772
01:32:39,560 --> 01:32:45,360
Speaker 1: there are terrified individuals walking around. And there's also people

1773
01:32:45,400 --> 01:32:48,280
Speaker 1: that like to control others. And then there the people

1774
01:32:48,320 --> 01:32:50,160
Speaker 1: that just want to go about their lives but can't

1775
01:32:50,200 --> 01:32:52,559
Speaker 1: do And I know that's people who listen to this show.

1776
01:32:53,920 --> 01:32:55,800
Speaker 1: I don't wear a mask because I think they're right.

1777
01:32:56,240 --> 01:32:58,680
Speaker 1: I wear a mask because if I don't, they attack me,

1778
01:32:59,360 --> 01:33:02,000
Speaker 1: they come after me. They tell me you can't be here,

1779
01:33:02,439 --> 01:33:05,360
Speaker 1: you're you're now trespassing. You're gonna be escorted from the premises.

1780
01:33:06,000 --> 01:33:09,160
Speaker 1: So this is why I always say individual non compliance

1781
01:33:10,040 --> 01:33:12,559
Speaker 1: is the equivalent of charging the machine gun nest without

1782
01:33:12,560 --> 01:33:17,200
Speaker 1: a plan to take it. Mass non compliance right, if

1783
01:33:17,240 --> 01:33:20,120
Speaker 1: you're one person who and you know, I hate the

1784
01:33:20,520 --> 01:33:23,280
Speaker 1: blocking highways thing, for example, I absolutely hate that tactic.

1785
01:33:23,320 --> 01:33:26,439
Speaker 1: I think it's awful and selfish and terrible. But I mean,

1786
01:33:26,479 --> 01:33:29,240
Speaker 1: if you're one person blocking a highway, the cops are

1787
01:33:29,280 --> 01:33:31,080
Speaker 1: gonna show up, they're gonna put you in cuffs, and

1788
01:33:31,080 --> 01:33:33,559
Speaker 1: they're gonna take you away. If you're three hundred people

1789
01:33:33,600 --> 01:33:36,920
Speaker 1: blocking a highway, now all of a sudden, it's a

1790
01:33:37,000 --> 01:33:40,680
Speaker 1: different calculation. Now, now maybe you know you're gonna get

1791
01:33:40,680 --> 01:33:42,680
Speaker 1: attention for the cause, and there's gonna be people, and

1792
01:33:42,760 --> 01:33:47,200
Speaker 1: then that's the way the activist Olynskyites have been able

1793
01:33:47,240 --> 01:33:49,560
Speaker 1: to get so much by by using these kinds of

1794
01:33:49,640 --> 01:33:53,679
Speaker 1: tactics in the past. So individual noncompliance when it comes

1795
01:33:53,680 --> 01:33:57,200
Speaker 1: to masks is not a good idea. It has to

1796
01:33:57,280 --> 01:33:59,320
Speaker 1: be a movement. And I know people say, well, how

1797
01:33:59,360 --> 01:34:01,200
Speaker 1: do you get a movement unless an individual starts it.

1798
01:34:01,760 --> 01:34:05,160
Speaker 1: It's a fair point, and maybe there'll be someone who

1799
01:34:05,280 --> 01:34:08,040
Speaker 1: decides something. Basically, people are gonna have to be willing

1800
01:34:08,080 --> 01:34:11,599
Speaker 1: to get arrested for not wearing a mask. And I'm

1801
01:34:11,600 --> 01:34:13,640
Speaker 1: not saying, you know, if you're around a bunch of

1802
01:34:13,680 --> 01:34:17,080
Speaker 1: senior citizens indoors and no, I mean, you know, use

1803
01:34:17,120 --> 01:34:19,759
Speaker 1: your judgment, right, But people are going to be arrested.

1804
01:34:20,000 --> 01:34:21,760
Speaker 1: Until people are willing to get arrested for not wearing

1805
01:34:21,800 --> 01:34:24,320
Speaker 1: a mask and actually get handcuffed and processed and having

1806
01:34:24,439 --> 01:34:27,799
Speaker 1: arrest on their record for whatever it is, this will continue.

1807
01:34:27,880 --> 01:34:30,000
Speaker 1: I mean, that's basically where I and that's what I've decided,

1808
01:34:30,479 --> 01:34:32,400
Speaker 1: and I'm not yet at the point where I think

1809
01:34:32,439 --> 01:34:35,840
Speaker 1: it's useful for me to be a person that is

1810
01:34:35,880 --> 01:34:38,040
Speaker 1: doing that. I'm still trying to advocate for the end

1811
01:34:38,080 --> 01:34:41,000
Speaker 1: of these policies. But there probably will come a point

1812
01:34:41,000 --> 01:34:44,200
Speaker 1: at which I say, you know what, all right, We've

1813
01:34:44,280 --> 01:34:46,720
Speaker 1: tried try to be reasonable, We've try to work with

1814
01:34:46,760 --> 01:34:48,720
Speaker 1: the law, and you know then, and that's, by the way,

1815
01:34:48,840 --> 01:34:52,360
Speaker 1: civil disobedience. I'm not harming anyone. I'm not hurting anyone,

1816
01:34:52,479 --> 01:34:55,160
Speaker 1: not destroying anyone's property or building. But I'll say, okay,

1817
01:34:55,160 --> 01:34:57,160
Speaker 1: I'm unwilling to abide by this law, and I will

1818
01:34:57,280 --> 01:34:59,160
Speaker 1: I will deal with the consequences as a means of

1819
01:34:59,320 --> 01:35:04,439
Speaker 1: raising raising my voice within society. I don't think we're

1820
01:35:04,479 --> 01:35:06,720
Speaker 1: there yet, but I'm not sure we're never going to

1821
01:35:06,760 --> 01:35:08,479
Speaker 1: be there, and I think that we should all be

1822
01:35:08,600 --> 01:35:10,439
Speaker 1: very clear on that there is that possibility that at

1823
01:35:10,479 --> 01:35:13,639
Speaker 1: some point in the future we will be there. Gina

1824
01:35:14,160 --> 01:35:16,320
Speaker 1: Hi Buck. The last seventy two hours the New cycle

1825
01:35:16,400 --> 01:35:18,519
Speaker 1: have been crazy. We are told we need to be

1826
01:35:18,640 --> 01:35:21,120
Speaker 1: less white, that we need to eat synthetic meat because

1827
01:35:21,160 --> 01:35:23,800
Speaker 1: we are rich, that children need to suck it up

1828
01:35:23,840 --> 01:35:27,679
Speaker 1: in deal. That Fauci is Maximus Fauci, and he knows

1829
01:35:27,800 --> 01:35:30,839
Speaker 1: the way that any news outlet who doesn't ban opposing

1830
01:35:30,880 --> 01:35:34,880
Speaker 1: opinions be destroyed. That the Supreme court decided that election

1831
01:35:34,960 --> 01:35:37,840
Speaker 1: law doesn't matter, but the ex president's tax returns due,

1832
01:35:38,280 --> 01:35:41,120
Speaker 1: the man who would be Attorney general has no idea

1833
01:35:41,200 --> 01:35:42,759
Speaker 1: of the law, and that A member of the Clinton's

1834
01:35:42,800 --> 01:35:46,200
Speaker 1: cabinet admits, we have become a totalent care in government.

1835
01:35:46,479 --> 01:35:49,640
Speaker 1: It has now reached a fever pitch. I like you

1836
01:35:49,840 --> 01:35:51,560
Speaker 1: have never been so afraid of our government or the

1837
01:35:51,600 --> 01:35:54,599
Speaker 1: power at wields. I'm eighteen years older than you, said

1838
01:35:54,640 --> 01:35:58,240
Speaker 1: the pledge, saying the anthem, learned civics in school. Please

1839
01:35:58,280 --> 01:36:00,800
Speaker 1: tell me there's a way out, a way back, because

1840
01:36:00,880 --> 01:36:04,200
Speaker 1: short of all out civil war, I don't see it.

1841
01:36:04,640 --> 01:36:06,400
Speaker 1: These people are evil, but it seems to me there's

1842
01:36:06,439 --> 01:36:08,800
Speaker 1: no avenue available to us feeling laws. Please give us

1843
01:36:08,800 --> 01:36:12,360
Speaker 1: your thoughts and some hope. Shields hide Gina. The best,

1844
01:36:13,120 --> 01:36:19,360
Speaker 1: the best advantage that conservatives have is the actions of

1845
01:36:19,439 --> 01:36:23,120
Speaker 1: Democrats in power. I mean that's for making the case.

1846
01:36:23,680 --> 01:36:25,360
Speaker 1: We can talk about all the great things that we

1847
01:36:25,360 --> 01:36:27,760
Speaker 1: would like to do, and look, Trump did some very

1848
01:36:27,760 --> 01:36:30,599
Speaker 1: good things. Other things were unfinished. There's no question about that. Right.

1849
01:36:31,040 --> 01:36:33,479
Speaker 1: We can talk about what we want to do that's positive,

1850
01:36:33,880 --> 01:36:40,080
Speaker 1: but what really mobilizes people is their revulsion against the

1851
01:36:40,240 --> 01:36:44,120
Speaker 1: negative here's an example of this. When you go on

1852
01:36:44,880 --> 01:36:47,720
Speaker 1: a lot of websites to check out what people think

1853
01:36:47,760 --> 01:36:50,800
Speaker 1: of different restaurants, you'll notice something a lot of five

1854
01:36:50,880 --> 01:36:53,080
Speaker 1: star reviews and then a lot of one star reviews.

1855
01:36:53,120 --> 01:36:57,439
Speaker 1: Why is that, Well, sure people will say that they

1856
01:36:57,479 --> 01:36:59,559
Speaker 1: think of place is great, but there's not a lot

1857
01:36:59,600 --> 01:37:01,200
Speaker 1: of people want to show up and give a three

1858
01:37:01,240 --> 01:37:03,240
Speaker 1: star review. Why is that? Because they don't want to

1859
01:37:03,280 --> 01:37:06,040
Speaker 1: take the time, They don't feel as engaged. Okay, it

1860
01:37:06,200 --> 01:37:09,280
Speaker 1: was fine, right, I love it or I hate it?

1861
01:37:09,840 --> 01:37:13,000
Speaker 1: Is that those are motivators. It was okay, you pay

1862
01:37:13,080 --> 01:37:16,000
Speaker 1: your check, you go home. Politics, there's a similar effect,

1863
01:37:16,000 --> 01:37:19,760
Speaker 1: except it's a lot harder through policy, being the I

1864
01:37:19,880 --> 01:37:22,679
Speaker 1: love it category, i'd say, than at a restaurant, although

1865
01:37:22,760 --> 01:37:25,720
Speaker 1: you know it depends. But I hate it, Oh yeah,

1866
01:37:25,800 --> 01:37:28,800
Speaker 1: there's a lot I hate it in politics and Democrats

1867
01:37:28,920 --> 01:37:32,400
Speaker 1: making the country suffer, making us poorer, making us less free,

1868
01:37:32,600 --> 01:37:37,840
Speaker 1: making us more miserable as a people. That's not going

1869
01:37:37,920 --> 01:37:40,760
Speaker 1: to be a game changer for for everybody. Obviously, there

1870
01:37:40,760 --> 01:37:43,120
Speaker 1: are people who like what they're doing, who like the insanity,

1871
01:37:43,720 --> 01:37:46,679
Speaker 1: but it is something that that big group of people

1872
01:37:46,720 --> 01:37:50,360
Speaker 1: in the middle may very well decide they've had enough.

1873
01:37:50,400 --> 01:37:53,320
Speaker 1: It is something that could be a game changer for

1874
01:37:54,760 --> 01:37:58,559
Speaker 1: those swing voters in places like swing voters in places

1875
01:37:58,640 --> 01:38:02,599
Speaker 1: like Arizona who didn't come out or came out for Biden,

1876
01:38:03,160 --> 01:38:06,440
Speaker 1: you know, in places like Michigan and Wisconsin and Pennsylvania,

1877
01:38:07,200 --> 01:38:10,920
Speaker 1: and there is still a pathway to political power for conservatives.

1878
01:38:11,040 --> 01:38:12,600
Speaker 1: Make no mistake about it. I know we feel so

1879
01:38:12,720 --> 01:38:16,040
Speaker 1: defeated right now, but if we fight on the battlefields

1880
01:38:16,040 --> 01:38:18,320
Speaker 1: that are available to us, and if we make sure

1881
01:38:18,400 --> 01:38:21,000
Speaker 1: that we push back, I mean, I think that social

1882
01:38:21,080 --> 01:38:24,880
Speaker 1: media censorship is the single biggest threat we face to

1883
01:38:24,960 --> 01:38:28,800
Speaker 1: our republic right now in terms of free speech. I mean,

1884
01:38:28,840 --> 01:38:30,720
Speaker 1: there's nothing else that comes close to it. If we

1885
01:38:30,880 --> 01:38:33,400
Speaker 1: have those fights and we can begin to win those fights,

1886
01:38:33,720 --> 01:38:37,519
Speaker 1: will be in a better place. And don't gina. I

1887
01:38:37,560 --> 01:38:41,200
Speaker 1: mean the slogan of this show, the maxim. I prefer

1888
01:38:41,320 --> 01:38:44,240
Speaker 1: that term. The maxim of this show is shields high

1889
01:38:44,600 --> 01:38:47,760
Speaker 1: for a reason. Notice it's not it's not swords high, right,

1890
01:38:47,800 --> 01:38:50,600
Speaker 1: It's not there, because really, what it means to be

1891
01:38:50,680 --> 01:38:53,479
Speaker 1: a conservative is to embrace the fact that you're often

1892
01:38:53,600 --> 01:38:56,519
Speaker 1: going to be taking incoming and you're going to be

1893
01:38:56,800 --> 01:39:01,280
Speaker 1: on defense. That's what It means you're going to have

1894
01:39:01,400 --> 01:39:03,000
Speaker 1: to be trying to save things. You're gonna have to

1895
01:39:03,040 --> 01:39:07,439
Speaker 1: be trying to conserve, and that means that you are

1896
01:39:07,640 --> 01:39:09,960
Speaker 1: you are the recipient of the incoming and you stand

1897
01:39:10,000 --> 01:39:13,599
Speaker 1: tall and strong and defend what you can. That's why

1898
01:39:13,640 --> 01:39:17,000
Speaker 1: we're shields high here. That's why we do what we do. Bobby,

1899
01:39:18,160 --> 01:39:20,639
Speaker 1: Bobby Buck, you need to get away from the big Apple.

1900
01:39:20,760 --> 01:39:22,559
Speaker 1: You're on the ledge and you need to step back.

1901
01:39:22,920 --> 01:39:25,720
Speaker 1: The contempt and disdain in your voice is palpable. I

1902
01:39:25,840 --> 01:39:27,240
Speaker 1: agree with you, but I live in a free state

1903
01:39:27,280 --> 01:39:30,360
Speaker 1: of Mississippi very near the sanity stricken state of Florida.

1904
01:39:30,640 --> 01:39:32,439
Speaker 1: I'm less than one hundred miles in the Florida line

1905
01:39:32,439 --> 01:39:36,679
Speaker 1: on the Mississippi Gulf coast, and we are saying down here. Restaurants, bars,

1906
01:39:37,280 --> 01:39:39,920
Speaker 1: casinos are all open, and some are very lax on

1907
01:39:39,960 --> 01:39:42,640
Speaker 1: the useless masking. Some don't enforce at all. You need

1908
01:39:42,680 --> 01:39:43,920
Speaker 1: to get out of that hell hole of New York

1909
01:39:43,920 --> 01:39:45,680
Speaker 1: City and come to a saner environment. It will make

1910
01:39:45,680 --> 01:39:48,280
Speaker 1: your already good radio show even better. See you when

1911
01:39:48,320 --> 01:39:50,960
Speaker 1: you get here, Bobby. I appreciate that, and I'll tell

1912
01:39:51,000 --> 01:39:53,360
Speaker 1: you this meant I'm so torn on this issue, and

1913
01:39:53,520 --> 01:39:56,080
Speaker 1: I really am. I mean, Mark knows we're not. I'm

1914
01:39:56,120 --> 01:39:58,400
Speaker 1: not just like kidding around about moving to Florida. I'm

1915
01:39:58,479 --> 01:40:02,680
Speaker 1: very serious about it. I'm conversations with family members, having

1916
01:40:02,760 --> 01:40:05,080
Speaker 1: conversations with the snow Princess. I mean, I'm having I'm

1917
01:40:05,120 --> 01:40:07,920
Speaker 1: talking to people who matter most to me about maybe

1918
01:40:07,960 --> 01:40:11,840
Speaker 1: moving to Florida and what that would mean. I've never

1919
01:40:11,920 --> 01:40:13,679
Speaker 1: thought that before in my life, but I have seen

1920
01:40:13,760 --> 01:40:20,200
Speaker 1: a side of the Democrat authoritarian mentality that I it's

1921
01:40:21,880 --> 01:40:23,720
Speaker 1: it's at a whole new level. Now, it's at a

1922
01:40:23,800 --> 01:40:27,480
Speaker 1: whole it's in a whole new place. And the viciousness,

1923
01:40:27,520 --> 01:40:30,959
Speaker 1: I mean, they really because they're they're so sort of fearful,

1924
01:40:31,600 --> 01:40:36,599
Speaker 1: and there's such a lack of internal courage and character

1925
01:40:37,120 --> 01:40:40,519
Speaker 1: within the leftist mentality. They're looking for people to blame.

1926
01:40:40,760 --> 01:40:43,280
Speaker 1: They really think, I mean, it is a widespread belief

1927
01:40:43,360 --> 01:40:47,200
Speaker 1: on the left in America that Trump voters and Republicans

1928
01:40:47,240 --> 01:40:50,479
Speaker 1: in general are responsible for the spread of COVID, that

1929
01:40:50,600 --> 01:40:52,920
Speaker 1: we are uniquely responsible for the spread of COVID. They

1930
01:40:52,920 --> 01:40:56,880
Speaker 1: actually think that, they really believe that, and that's deeply

1931
01:40:56,920 --> 01:40:59,360
Speaker 1: troubling because one it's insane. I mean, yeah, I guess

1932
01:40:59,400 --> 01:41:01,720
Speaker 1: we're also for the spread of COVID in Italy and

1933
01:41:01,800 --> 01:41:04,840
Speaker 1: the UK and Spain and Brazil and you know, go

1934
01:41:04,920 --> 01:41:08,719
Speaker 1: down the list. But beyond it being being uniquely insane

1935
01:41:08,760 --> 01:41:11,479
Speaker 1: in that sense, it also means that there is a

1936
01:41:11,600 --> 01:41:16,480
Speaker 1: justification for viciousness that is almost endless, and a justification

1937
01:41:16,720 --> 01:41:20,639
Speaker 1: for heavy handedness in public policy that should be very

1938
01:41:20,880 --> 01:41:26,120
Speaker 1: unsettling to everybody. So heavy handedness is an understatement, by

1939
01:41:26,160 --> 01:41:28,519
Speaker 1: the way, So uh, you know, that's kind of that's

1940
01:41:28,560 --> 01:41:31,280
Speaker 1: where we are right now. That's what we're seeing, and

1941
01:41:32,000 --> 01:41:34,360
Speaker 1: I am concerned about it. But then you say, well, buck,

1942
01:41:34,400 --> 01:41:37,080
Speaker 1: why haven't you already moved. I've got a family in

1943
01:41:37,080 --> 01:41:39,639
Speaker 1: New York City, and there's a part of me, honestly

1944
01:41:40,200 --> 01:41:43,360
Speaker 1: that doesn't want to abandon my fellow conservatives in the

1945
01:41:43,520 --> 01:41:46,439
Speaker 1: heart of the biggest blue city in the country. You know,

1946
01:41:46,520 --> 01:41:48,519
Speaker 1: I speak to them long. I speak to them every

1947
01:41:48,600 --> 01:41:51,720
Speaker 1: day on a station in New York City. I've got

1948
01:41:51,760 --> 01:41:54,800
Speaker 1: a lot of people listen to podcasts public to my

1949
01:41:54,880 --> 01:41:56,960
Speaker 1: podcast who live in New York City, And there's a

1950
01:41:57,040 --> 01:41:58,720
Speaker 1: part of me that's like, I don't want to leave

1951
01:41:58,760 --> 01:42:01,800
Speaker 1: them behind on the on the blue state battlefield. But

1952
01:42:02,280 --> 01:42:04,000
Speaker 1: there's only so much a man can take. By the

1953
01:42:04,080 --> 01:42:07,960
Speaker 1: same token, there's maybe maybe continuing to help in the

1954
01:42:08,040 --> 01:42:09,920
Speaker 1: exodus from New York might be the best possible thing,

1955
01:42:10,000 --> 01:42:12,920
Speaker 1: So I'm thinking about it. You're in the freedom hunt.

1956
01:42:13,280 --> 01:42:16,400
Speaker 1: Thanks for listening to the buck Sexton Show podcast. Get

1957
01:42:16,439 --> 01:42:21,320
Speaker 1: the latest from Bucket buck Sexton dot Com. All right,

1958
01:42:21,439 --> 01:42:26,719
Speaker 1: rollcall continuing here, Kim, you said and yesterday's show, Trump

1959
01:42:26,760 --> 01:42:29,120
Speaker 1: should get a B plus. There could have been improvements.

1960
01:42:29,280 --> 01:42:31,559
Speaker 1: I'd give him a standing ovation and send him straight

1961
01:42:31,600 --> 01:42:34,040
Speaker 1: to heaven for putting up with the dishonest Democrats. Considering

1962
01:42:34,080 --> 01:42:38,320
Speaker 1: the alternative, he was excellent, well, Kim in that sense

1963
01:42:38,560 --> 01:42:42,360
Speaker 1: in the binary, it is true that Trump was far

1964
01:42:42,520 --> 01:42:45,360
Speaker 1: better than that Hillary would have been, and I gave him.

1965
01:42:45,560 --> 01:42:49,240
Speaker 1: I give him credit on trade, on judges, on calling

1966
01:42:49,280 --> 01:42:52,040
Speaker 1: out the fake news media and really creating a whole

1967
01:42:52,080 --> 01:42:55,040
Speaker 1: paradigm for fighting back against them. I gave him credit

1968
01:42:55,080 --> 01:42:59,519
Speaker 1: for not starting any new wars, for a very strong

1969
01:42:59,560 --> 01:43:01,640
Speaker 1: ecount me and very low unemployment. I mean, there's a

1970
01:43:01,680 --> 01:43:04,040
Speaker 1: lot about Trump that I'm at the front of the

1971
01:43:04,120 --> 01:43:07,240
Speaker 1: line saying these are clearly great things for the country,

1972
01:43:07,840 --> 01:43:10,320
Speaker 1: but there are also things that didn't get done, and

1973
01:43:10,400 --> 01:43:12,360
Speaker 1: there were missus, and I just try to be very

1974
01:43:12,400 --> 01:43:13,920
Speaker 1: honest with you all about that. I think that we

1975
01:43:14,040 --> 01:43:18,599
Speaker 1: have a better conversation. You know, I'm criticizing Trump from

1976
01:43:18,680 --> 01:43:21,040
Speaker 1: within the family, you know what I mean. I'm criticizing

1977
01:43:21,080 --> 01:43:23,920
Speaker 1: Trump from the perspective of somebody who supported him, voted

1978
01:43:23,960 --> 01:43:27,200
Speaker 1: for him twice, advocated for everybody else to vote for him.

1979
01:43:27,680 --> 01:43:30,720
Speaker 1: And you know, in that sense, I mean not that

1980
01:43:30,800 --> 01:43:32,519
Speaker 1: I'm the coach of team Trump, because that would be

1981
01:43:32,600 --> 01:43:34,800
Speaker 1: very grandios. But I come in at the way that

1982
01:43:34,840 --> 01:43:38,880
Speaker 1: a coach speaks to his team, which is and a

1983
01:43:38,920 --> 01:43:40,639
Speaker 1: team that just had a big loss. Let's be honest,

1984
01:43:40,680 --> 01:43:45,920
Speaker 1: the team just lost. So that's that's something I think

1985
01:43:45,960 --> 01:43:49,560
Speaker 1: we have to consider here. We did just have a

1986
01:43:49,600 --> 01:43:51,400
Speaker 1: big loss, and we could talk about how it was

1987
01:43:51,479 --> 01:43:53,600
Speaker 1: unfair and all this other stuff, and that's fine, but

1988
01:43:53,720 --> 01:43:55,240
Speaker 1: a loss, and you know, an L is an L,

1989
01:43:55,360 --> 01:43:57,840
Speaker 1: and there's an L on the scoreboard, and we need

1990
01:43:57,960 --> 01:44:03,040
Speaker 1: to be honest about that. But Kim that said, if

1991
01:44:03,040 --> 01:44:04,479
Speaker 1: you want to give it an A because you love him,

1992
01:44:04,560 --> 01:44:08,000
Speaker 1: God bless and your opinion is every bit. And this

1993
01:44:08,160 --> 01:44:09,720
Speaker 1: is one thing that I really believe a lot of

1994
01:44:09,760 --> 01:44:12,400
Speaker 1: other I think radio host don't necessarily believe at all

1995
01:44:12,880 --> 01:44:15,640
Speaker 1: every opinion of every person listening to this is absolutely

1996
01:44:15,880 --> 01:44:17,400
Speaker 1: as valid as mine when it comes to Trump and

1997
01:44:17,439 --> 01:44:19,519
Speaker 1: politics and all the rest of it. I just try

1998
01:44:19,520 --> 01:44:20,760
Speaker 1: to put on a good show with a lot of

1999
01:44:20,800 --> 01:44:24,120
Speaker 1: information for all of you. But every other person here

2000
01:44:24,200 --> 01:44:26,640
Speaker 1: you know I'm wrong about things sometimes. I admit that

2001
01:44:27,080 --> 01:44:30,040
Speaker 1: sometimes I get things wrong. Sometimes I'm off, And actually

2002
01:44:30,080 --> 01:44:31,680
Speaker 1: a lot of the time when I realize I'm wrong,

2003
01:44:31,720 --> 01:44:35,519
Speaker 1: it's because people in this audience tell me. Terrence greetings

2004
01:44:35,560 --> 01:44:39,520
Speaker 1: from Soul, South Korea, that the branch of Team Buck International.

2005
01:44:40,200 --> 01:44:41,920
Speaker 1: I was just flipping through the channels after work and

2006
01:44:42,000 --> 01:44:43,719
Speaker 1: had to stop and watch the ending of my favorite

2007
01:44:43,760 --> 01:44:46,160
Speaker 1: Mel Gibson movie. While watching, I remembered something that has

2008
01:44:46,160 --> 01:44:50,439
Speaker 1: always bothered me, being oss. I know well your affinity

2009
01:44:50,520 --> 01:44:53,400
Speaker 1: for Braveheart and agree it's a very good film. But also,

2010
01:44:53,720 --> 01:44:56,559
Speaker 1: but I believe you also give The Patriot very high marks.

2011
01:44:56,840 --> 01:44:58,840
Speaker 1: But in all the years we've listened to you, I've

2012
01:44:58,840 --> 01:45:00,240
Speaker 1: never heard you mentioned what I could said to be

2013
01:45:00,320 --> 01:45:03,680
Speaker 1: his best movie, We Were Soldiers. I'm stuck two possibilities. One,

2014
01:45:03,720 --> 01:45:06,040
Speaker 1: you don't think it's worthy to be included, or you

2015
01:45:06,120 --> 01:45:08,640
Speaker 1: haven't seen it. I find it to be inconceivable, So

2016
01:45:08,720 --> 01:45:10,240
Speaker 1: I was hoping you'd shed light on this. You can.

2017
01:45:10,320 --> 01:45:13,040
Speaker 1: I can sleep safe and warmly at night. Thanks Buckshieldside well,

2018
01:45:13,160 --> 01:45:15,759
Speaker 1: Terrence Man. Great to have you right again from South Korea.

2019
01:45:16,000 --> 01:45:19,320
Speaker 1: Love it Team Bucks, South Korea in the house. And

2020
01:45:19,520 --> 01:45:23,240
Speaker 1: as for We Were Soldiers, it's a great movie. I've

2021
01:45:23,280 --> 01:45:27,280
Speaker 1: seen it many times. I think it's fantastic. It's it

2022
01:45:27,560 --> 01:45:29,519
Speaker 1: might it might even make it into my top ten

2023
01:45:29,840 --> 01:45:32,160
Speaker 1: top ten more movies. I'm gonna be honest you though,

2024
01:45:32,200 --> 01:45:34,960
Speaker 1: it's probably more like a top fifteen or top twenty

2025
01:45:35,000 --> 01:45:36,840
Speaker 1: for me. But it is a great movie, and it

2026
01:45:37,120 --> 01:45:39,600
Speaker 1: might be. It might be in the top ten. And

2027
01:45:39,720 --> 01:45:43,000
Speaker 1: it's very true to life and accurate. I mean I've

2028
01:45:43,040 --> 01:45:45,840
Speaker 1: read about that battle specifically, and also the leader that

2029
01:45:45,960 --> 01:45:50,160
Speaker 1: Mel Gibson portrays, you know how, And I mean he

2030
01:45:50,360 --> 01:45:52,200
Speaker 1: was beloved by his troops and he was he was

2031
01:45:52,280 --> 01:45:54,360
Speaker 1: as real deal as it gets. So We Were Soldiers

2032
01:45:54,720 --> 01:45:58,240
Speaker 1: highly recommend on the Buck recommendation list. All right, day

2033
01:45:58,240 --> 01:46:00,280
Speaker 1: one here at Seapack in the books. Friends, thanks so

2034
01:46:00,360 --> 01:46:03,280
Speaker 1: much for listening. Sorry if the sound of the background

2035
01:46:03,320 --> 01:46:05,800
Speaker 1: made a little difficult sometimes, but we're bringing you a

2036
01:46:05,800 --> 01:46:07,559
Speaker 1: different experience. The next couple of days. We'll be back

2037
01:46:07,640 --> 01:46:11,360
Speaker 1: normal on Monday. Until then, Team Shield Hie