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Speaker 1: You are entering the freedom hunt. We got a freestyle

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Speaker 1: Friday under way. MSNBC can't math good. Trump town Hall

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Speaker 1: on Fox News lays down a lot of important stuff

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Speaker 1: for us. The administration is going to withhold funds from

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Speaker 1: sanctuary cities. Bernie Sanders pushed really hard for Soviet propaganda

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Speaker 1: to work better than he thought it would. And also

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Speaker 1: breaking down the latest on the jobs report and Michigan.

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Speaker 1: Will that be the place where the Sanders campaign ends?

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Speaker 1: We get that a more coming up. This is the

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Speaker 1: Buck Sexton Show, where the mission or mission is to

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Speaker 1: decode what really matters with actionable intelligence. Make no mistake American.

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Speaker 1: Here a great American Again the Buck Sexton Show begins.

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Speaker 1: Remember he's a great No. Welcome to the Buck Sex

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Speaker 1: and Show, everybody. And it has been quite a week.

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Speaker 1: I gotta tell you, this is one of these weeks

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Speaker 1: that I feel like we've all been through it. I

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Speaker 1: can't really explain why we got coronavirus fears all over

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Speaker 1: the place. Every time I open up the Drudge Report,

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Speaker 1: it's like the Drudge Report has turned into the guy

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Speaker 1: pushing around a shopping cart with a sign that says,

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Speaker 1: you know John three sixteen and then another sign that

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Speaker 1: says the world is ending tomorrow. You know, like, I

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Speaker 1: don't know what's going on here, but they need to

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Speaker 1: calm down a little bit. We're going to be okay.

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Speaker 1: This is a problem, We're on it. We're gonna work together.

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Speaker 1: We're gonna figure this out. There's no need to panic.

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Speaker 1: I'm reminded of Will Farrell in old school when he

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Speaker 1: starts banging on the lockers seag We're gonna keep our composure.

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Speaker 1: We have to keep our composure here. It's gonna be fine.

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Speaker 1: I'll have some updates for you on that later. I'm

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Speaker 1: also trying not to make every day. I think this

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Speaker 1: is journalists become lazy with this. I'm not a journalist.

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Speaker 1: I'm in media, but people that do media content that's

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Speaker 1: based on news become lazy because just every day, oh

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Speaker 1: we got at a Corona count every day. Another thing

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Speaker 1: gotta tell you, you don't have to know every little

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Speaker 1: detail about every place all over the world where there's

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Speaker 1: been another person with Corona that's said I'm not about

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Speaker 1: to get on a cruise ship anytime soon. Plane fine.

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Speaker 1: I was on a plane last weekend cruise ship. I'm

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Speaker 1: just not a cruise ship guy proser Mark and I've

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Speaker 1: talked about this. It's not something that gets me excited.

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Speaker 1: I'm not somebody who of course I'm sitting here. I

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Speaker 1: touch my face as I'm talking about this. That's the

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Speaker 1: one thing you're not supposed to do. But I'll have

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Speaker 1: some worthwhile coronavirus updates, just a few of them for

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Speaker 1: you later on in the show. And I'm gonna try

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Speaker 1: not to make this every day just an ongoing oh

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Speaker 1: my gosh, oh my gosh, coronavirus COVID nineteen. There's a

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Speaker 1: lot of other stuff to talk about, and since it's Friday,

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Speaker 1: I wanted to start with one of my favorites there.

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Speaker 1: You know, the media is something that I enjoy talking

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Speaker 1: to you about because I've been really a super consumer

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Speaker 1: of news media for decades now. It's something that I've

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Speaker 1: always been fascinated in. The first job I ever had,

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Speaker 1: I guess if you want to call an internship a

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Speaker 1: job ever was not including hourly stuff like tutoring and

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Speaker 1: things to make some money. When I was in high school,

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Speaker 1: was working at CBSCV News with Dan rather as an intern.

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Speaker 1: And that was great because I just remember walking around

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Speaker 1: and being like Okay, I was only eighteen. Nobody here

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Speaker 1: seems to be really that smart. Everyone here is very

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Speaker 1: stressed out and just constantly on each other about very

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Speaker 1: minor things. And they all seem highly replaceable and overly

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Speaker 1: anxious to me, including Dan Rather, who would show he

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Speaker 1: had the greatest job I'd ever seen. He would show

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Speaker 1: up at I don't know, four p three thirty four pm,

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Speaker 1: read through his lines, get his hair done, thirty minute broadcast, boom,

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Speaker 1: seven million dollars a year. Of course, you need somebody

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Speaker 1: who can look into the camera and sound like this,

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Speaker 1: and it's ridiculous, it's absurd. The whole thing was that's

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Speaker 1: a joke. I mean, it's an old model out with

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Speaker 1: with the boomers now, you know, not as completely dominant

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Speaker 1: about all media decisions. They're still dominant, but this old

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Speaker 1: model is changing the silent generation. The boomers think that

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Speaker 1: having one person not all of you. If you're listening

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Speaker 1: to this and your boomer you're obviously a more sophisticated

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Speaker 1: news consumer. But if the old model is to have

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Speaker 1: these people that would go on TV and they sound

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Speaker 1: the part and they look the part, and that's the

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Speaker 1: news for today, and everyone goes, oh, Okay that that

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Speaker 1: sounds like objective news. I'm informed now false. And you

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Speaker 1: have some of these vestiges, some of these holdovers from

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Speaker 1: the news business that you see that are from that

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Speaker 1: old model. And perhaps the single greatest example as Brian Williams,

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Speaker 1: a guy with no discernible skill or talent other than

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Speaker 1: just sort of looking and sounding like the guy that

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Speaker 1: you should be listening to on the news, and then

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Speaker 1: we found out that he was somebody who had told

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Speaker 1: lies many many times over, not as many lies, I think,

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Speaker 1: as we've already established, Joe Biden has told in real

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Speaker 1: ways that he will not be able to run away from.

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Speaker 1: And just remember that you've been lectured about how trumplies

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Speaker 1: trumplies for years, and they're putting forward a liar, a

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Speaker 1: straight up liar, in Joe Biden against Donald Trump, and

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Speaker 1: I have the evidence will play someone for you. We're

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Speaker 1: gonna keep running this. Just remember all their principles. Oh,

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Speaker 1: it's really just the Trump lies. I mean, I had

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Speaker 1: to deal this to Bill Mars show everything. I tried

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Speaker 1: to say, Well, hold on a second, what's going on

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Speaker 1: with the coronavirus response that you don't like trumplies well, okay,

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Speaker 1: I mean, there are working on an accelerated vaccine schedule.

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Speaker 1: So one Trump says that, why is that? Trumplies. That's

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Speaker 1: the only thing they say. Trump lay. This has become

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Speaker 1: like a like the bleeding of the stupid sheep from

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Speaker 1: Animal Farm. Four legs good, two legs mad. That's what

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Speaker 1: they're doing. They don't even think about it anymore. But

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Speaker 1: Ben Biden lies all the time. They don't care. He's

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Speaker 1: Joe Biden. You can trust Joe Biden. I mean, Joe

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Speaker 1: Biden really reminds me a lot of the Bill Paxson

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Speaker 1: character in the Rip, a very good actor by the way,

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Speaker 1: in the movie True Lies. You know, he's like, you know,

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Speaker 1: I've got a few other interested buyers. I mean, Joe

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Speaker 1: Joe Biden is the politician version of Bill Paxson and

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Speaker 1: True Lies. I wish I could do more of the

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Speaker 1: lines from that, but some of them would not be

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Speaker 1: acceptable for radio. This is my way of telling you

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Speaker 1: that some of the most prominent journals out there are

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Speaker 1: ones that think they should tell you what to think,

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Speaker 1: how to vote, how to behave what you can say.

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Speaker 1: Are really not intelligent. They're just not very bright people.

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Speaker 1: They're actors who got their way, who found their way,

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Speaker 1: worked their way into a journalistic establishment of some kind.

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Speaker 1: And all that really takes is a few corporate execs

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Speaker 1: in these places because their legacy institutions, places like NBC

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Speaker 1: News also MSNBC. These are really just versions of each other.

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Speaker 1: NBC is the slightly more corporate friendly, slightly watered down

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Speaker 1: version of the truly left wing insane asylum that is MSNBC.

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Speaker 1: But MSNBC can math goodm Nope, they've got problems over there.

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Speaker 1: And here you have Brian Williams, who I just before

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Speaker 1: hold on a sec prison mark before we get to

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Speaker 1: this amazing clip, and it's one of the greatest news

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Speaker 1: clips I've ever heard. I mean, it's it's that good.

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Speaker 1: That's why I'm starting the show with it. Before I

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Speaker 1: get to that with you, let's just remember that Brian

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Speaker 1: Williams before he was found, and it was just found

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Speaker 1: by Internet comments on posts about him before and it

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Speaker 1: wasn't like, you know, MSNB or NBC did some big

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Speaker 1: interview interview with him or investigation and figured this out.

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Speaker 1: Brian Williams was the heir apparent to everything going on

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Speaker 1: at NBC News. He was the guy he was going

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Speaker 1: to be the one, and they were paying him I

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Speaker 1: think fifteen million dollars a year, and then we're about

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Speaker 1: to pay him even more than that in a big

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Speaker 1: contract before this whole controversy came out, and he was

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Speaker 1: supposed to be the most trusted Brian Williams could get

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Speaker 1: an interview with any politician, anybody in the country anytime,

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Speaker 1: most trusted voice in the country. And he's sitting down.

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Speaker 1: I gotta set the context for us. He is sitting

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Speaker 1: down with a member of the New York Times editorial

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Speaker 1: Board named Mara Gay. And you would think the New

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Speaker 1: York Times Editorial Board, you know, they they would uh,

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Speaker 1: they would sneer at submissions from real conservatives. Oh, that's

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Speaker 1: not up to our standards. You know, they have all

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Speaker 1: kinds of political bias going on. But they think of

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Speaker 1: themselves even though they publish people like Charles Blow, Charles

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Speaker 1: Blow Krugman and others. They think of of themselves as

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Speaker 1: intellectual elites. And yet you know, Charles Blow Krugman, I'm

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Speaker 1: trying to think of who is some of the worst,

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Speaker 1: you know, Brunei, Thomas Friedman. But they still hold to

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Speaker 1: the center and they're referring. So you have a top

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Speaker 1: anchor formerly of NBC now MSNBC because of his problem

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Speaker 1: with the truth, talking to a New York Times editorial

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Speaker 1: board member about a tweet from somebody who is a

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Speaker 1: Washington Post contributor, somebody who writes frequently has in her

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Speaker 1: byline the Washington Post and her contributions to it. This

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Speaker 1: is how they math good play at producer Mark. You

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Speaker 1: see it as a possibility. If he wants to spend

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Speaker 1: a billion bucks beating this guy, he could do it. Absolutely.

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Speaker 1: Somebody tweeted recently that actually, with the money he spent,

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Speaker 1: he could have given every American a million dollars. Let's

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Speaker 1: put it up. When I read it tonight on social media,

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Speaker 1: it kind of all became clear. Bloomberg spent five hundred

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Speaker 1: million on ads, us population three hundred twenty seven million.

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Speaker 1: Don't tell us if you're ahead of us on the math.

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Speaker 1: He could have given each American one million dollars and

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Speaker 1: I've had lunch money left over. It's an incredible way

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Speaker 1: of putting it. It's an incredible way of putting it.

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Speaker 1: It's true, it's disturbing. It does it does suggest you

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Speaker 1: know what we're talking about. Here, which is there there's

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Speaker 1: too much money in politics. Oh god, that is my favorite.

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Speaker 1: That is my all that might be. I mean, that's

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Speaker 1: a top ten TV news clip. That is absolutely fantastic.

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Speaker 1: You cannot make this up. That's rights. They think that

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Speaker 1: because Bloomberg spent five hundred million dollars and the US

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Speaker 1: popular the US population is three hundred and twenty seven

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Speaker 1: million dollars, he could like easily give each American a

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Speaker 1: million dollars cash and have lots of money left over

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Speaker 1: from what he spent on the campaign. Now, I make

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Speaker 1: fun of things like Joe Biden saying that one hundred

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Speaker 1: as he did without correcting it. It wasn't misspeaking. He

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Speaker 1: said it, and he let it stay out there. Joe

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Speaker 1: Mine said one hundred and fifty million people have been

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Speaker 1: killed in gun violence in the last ten years. There

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Speaker 1: are three hundred and twenty million people in America, probably

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Speaker 1: more like three thirty now a lot of the legal aliens.

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Speaker 1: Five hundred million dollars divided by three hundred and twenty

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Speaker 1: seven million dollars is nowhere near a million per person.

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Speaker 1: And yet you have to remember this isn't just something

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Speaker 1: that was said, because look when you're doing a math

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Speaker 1: under pressure. One of the reasons people go into TV news,

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Speaker 1: into acting. I'm just telling you the truth. Other people

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Speaker 1: won't tell you, you know, university teaching and get a

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Speaker 1: PhD in the humanities because they can't do math. It's true.

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Speaker 1: If I was better at math, if you think, I'd

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Speaker 1: be sitting here, probably be working at some hedge fund

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Speaker 1: slapping producer Mark with a thousand dollar bills. But he

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Speaker 1: wouldn't care because he'd be my right hand man at

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Speaker 1: the hedge fund and he'd be driving around in a

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Speaker 1: brand new portion nine eleven. You know what I mean.

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Speaker 1: He'd be fine with it. But that you know, if

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Speaker 1: I was good at math, we'd probably be doing something else.

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Speaker 1: I'm better at math than these people, though, that I

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Speaker 1: can tell you. Brian Williams of NBC New York Times

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Speaker 1: editorial board member, referring to a tweet put out by

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Speaker 1: somebody from the Washington Post. I mean, these are three

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Speaker 1: of the most elite media institutions you could find anywhere,

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Speaker 1: and none of them picked this up. And you have

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Speaker 1: tosend this was a tweet they put on the screen,

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Speaker 1: so they chose that this was prepared be forehand. Producers

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Speaker 1: at NBC or MSNBC. This was at ms which is

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Speaker 1: the same thing. Producers at MSNBC saw this tweet. They

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Speaker 1: saw it and they thought, Yeah, that really nails it.

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Speaker 1: That really makes the case about how Bloomberg. They take

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Speaker 1: the exact wrong lesson. By the way, the lesson of

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Speaker 1: Bloomberg is that you can't buy an election, But their

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Speaker 1: lesson that they take from this instead because they like

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Speaker 1: just the virtue signal if we don't want money in politics,

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Speaker 1: is Bloomberg somehow shows us how corrupt elections are because

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Speaker 1: he spends so much money and got nothing, zippo nowhere.

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Speaker 1: But put that aside for a moment. Yes there is,

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Speaker 1: and it's important. And this is part of the rethink

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Speaker 1: of the ruling class in this country that has been

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Speaker 1: going on as a result of Trump's rise. Those who

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Speaker 1: see to rule over us are media overlords, the people

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Speaker 1: in positions of authority in government, in media. In so

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Speaker 1: many ways, a lot of them got there for reasons

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Speaker 1: that have I would argue most, I would argue a

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Speaker 1: vast majority have very little to do with intelligence or ability.

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Speaker 1: A lot of them just played politics well, understand the system,

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Speaker 1: work the system, and in journalism in particular, are just ruthless,

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Speaker 1: ruthless and sociopathic. That's how they get where they are.

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Speaker 1: But there are many, many, many sheer and utter. And

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Speaker 1: I'm not saying this for a laugh line. It's true.

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Speaker 1: There are dumb asses all over the mainstream media, complete dumbasses.

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Speaker 1: And you need to remember that. It's not that there,

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Speaker 1: it's not that I just don't like some of their policies,

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Speaker 1: because there are smart libs. I'll sit here all day

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Speaker 1: if you want, I'll tell you the smart libs are.

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Speaker 1: There are smart libs, no question. I think they're wrong

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Speaker 1: on stuff, but they're still very bright. There's also a

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Speaker 1: lot of dumb asses, though, And this is just another

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Speaker 1: example of I mean, what a what a what a

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Speaker 1: stuffed shirt phony Brian Williams is I mean not just

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Speaker 1: because of this, it's everything you look at everything. This

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Speaker 1: is a guy who just really mastered sounding a certain

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Speaker 1: way and looking into the camera a certain way. He's

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Speaker 1: not learned, he's not insightful. It was all in act.

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Speaker 1: I can't even I don't even know Mara Gay is there,

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Speaker 1: honestly never even heard of her before, but clearly not

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Speaker 1: very good at math, and the person who's tweet they

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Speaker 1: referred to who writes for Washington Post. I don't know who.

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Speaker 1: I've never heard her name either, But this was amazing.

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Speaker 1: The Eleventh Hour put out this tweet tonight on air.

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Speaker 1: We quoted a tweet that relied on bad math. We

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Speaker 1: corrected the error, We apologized for the air. Yeah, that's

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Speaker 1: that's about as much as you can do. They're all

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Speaker 1: math good over at MSNBC. Nope, they got they got

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Speaker 1: problems over there. That's that's amazing. But go to them.

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Speaker 1: Listen to them about what you should do in the

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Speaker 1: stock market, Listen to the I'm about coronavirus, who you

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Speaker 1: should vote for. These people are brilliant. They know more

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Speaker 1: than you. They think really hard all the time about

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Speaker 1: all the important things you're in the Freedom Hunt. This

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Speaker 1: is the Buck Sexton Show podcast Team one. One more

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Speaker 1: point I wanted to make here about the most amazing

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Speaker 1: MSNBC clip, which is saying a lot because MSNBC has

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Speaker 1: some great moments that are unintentionally hilarious. I mean, MSNBC

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Speaker 1: is a joke. It's to think of this as a

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Speaker 1: news network is laughable, but it is what it is.

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Speaker 1: There was one point here that I think a lot

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Speaker 1: of people are going to skip past. And that is

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Speaker 1: also yeah, okay, we're making fun of them at math.

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Speaker 1: And look, I'm not somebody who's great at math on

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Speaker 1: the fly. I'm not gonna pretend that I am better

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Speaker 1: than these people, but not gonna pretend like I'm good

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Speaker 1: at math. There's also a reason why they would believe

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Speaker 1: this though, and I really mean this. They've convinced themselves

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Speaker 1: it is now liberal orthodoxy. They have convinced themselves that

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Speaker 1: it is possible to just take money from billionaires and

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Speaker 1: pay for everything. They think this is true. They believe

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Speaker 1: the Bernie Sanders, Elizabeth Warren Reddick. I mean, this is

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Speaker 1: a real political point about how you can have such

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Speaker 1: a colossal and stupid mistake on TV. It's because everybody

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Speaker 1: that everybody there has been hearing from all these Democrat

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Speaker 1: candidates like Sanders and Warren and others. You know, the

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Speaker 1: millionaires and the billionaires will pay, and people think, oh, okay,

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Speaker 1: all they gotta do is tax the billionaires a little

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Speaker 1: more and we all have great free healthcare. This is

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Speaker 1: a huge, a monumental, blatant, obvious lie. But they believe it.

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Speaker 1: They believe it so much that they think, yeah, sure,

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Speaker 1: you know, if you just took with Bloomberg spending the campaign,

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Speaker 1: you could probably pay off the national debt or something.

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Speaker 1: I mean they think things that no reasonable person could

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Speaker 1: because the propaganda about how billionaires could pay for everything

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Speaker 1: in this country has seeped so far into their brains.

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Speaker 1: This is real. Thanks for listening to The bus Esson

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Speaker 1: Show podcasts. Remember to subscribe on Apple podcasts, the iHeartRadio app,

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Speaker 1: or wherever you get your podcasts. Don't listen to him.

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Speaker 1: He was on I think Fox yesterday or something. It's

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Speaker 1: heelling people go to work. It's nothing if you don't

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Speaker 1: feel good. I mean, don't listen to Joy Bha either.

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Speaker 1: Please don't listen to Joy Beaha about anything speaking about

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Speaker 1: people who are dumbin on TV. Who she's she's top ten.

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Speaker 1: She really, she's in a special category. It's like, oh

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Speaker 1: my gosh, why do we have to listen to Trump?

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Speaker 1: The President is trying to calm people down and tell

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Speaker 1: people to keep going about their business. He's right to

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Speaker 1: do so. There's clearly a merger now between Trump derangement

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Speaker 1: syndrome and what we see going on with coronavirus coverage

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Speaker 1: in the media. The more negative it is, the more

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Speaker 1: they want to tie it to Trump. The more they

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Speaker 1: can tie it to Trump, the more negative they want

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Speaker 1: it to be. It becomes a self fulfilling prophecy. It's

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Speaker 1: a cycle. And yet they want to pretend that they're

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Speaker 1: doing this because they have your best interest at heart.

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Speaker 1: Do you not listen to the crazy media about this stuff?

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Speaker 1: All right? Listen to people that you know and that

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Speaker 1: you trust and that are trying to approach this with

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Speaker 1: the first priority. And this is what I try to say. Again.

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Speaker 1: I keep referring back to last week. I mean, I

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Speaker 1: was honestly stunned, and some of you have asked me

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Speaker 1: about the billmar appearance. I was stunned by how dishonest

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Speaker 1: and how obtuse and just honestly dumb. So much of

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Speaker 1: the commentary around me was I should have expected. The

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Speaker 1: only thing I blame myself for with that is that

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Speaker 1: I should have expected it a little bit more because

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Speaker 1: I know how libs are. But I thought, it's not

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Speaker 1: like we were just talking about you know, Trump on

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Speaker 1: the boarder. You know that I'm always ready for that.

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Speaker 1: You're gonna get trumps? Are you know? Trump's a racist?

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Speaker 1: I thought on coronavirus IRUs. And this is my mistake,

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Speaker 1: this is my era error, that there should be some

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Speaker 1: sense of responsibility in coming together, and we really don't

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Speaker 1: want this to become a major problem. No one wants

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Speaker 1: us to become a major problem, because if it does,

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Speaker 1: it means that there will be large numbers of seniors

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Speaker 1: in this country. You know, our moms and dads, grandmas

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Speaker 1: and grandpa's, you know, friends and neighbors. There'll be large

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Speaker 1: numbers of seniors who could fall victim to this, and

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Speaker 1: that should bring us together, that that mission of protecting

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Speaker 1: our seniors, because they're by far, as as has been

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Speaker 1: said by all responsible parties all along, they're by far

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Speaker 1: at the greatest risk. Here I mean the numbers in

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Speaker 1: terms of fate immortality for people over seventy who get

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Speaker 1: COVID nineteen versus people below fifty. I mean below fifty

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Speaker 1: unless you're severely immunosuppressed, which I would know. It also

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Speaker 1: means that you are every single year having to do

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Speaker 1: with the possibility of getting a fatal flu if you're

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Speaker 1: really that immunosuppress. So that's just to say that those

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Speaker 1: people already understand they have to be very careful very

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Speaker 1: vigilant and always will and always have been. But I

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Speaker 1: thought that on this we could approach this like it

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Speaker 1: was a foreign invasion, but a pathogenic foreign invasion into

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Speaker 1: this country, and that that would bring us together. There'd

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Speaker 1: be a little bit of a post nine to eleven effect,

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Speaker 1: which was a real thing, not with the whole left,

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Speaker 1: but with some Democrats, you know, in large numbers of Democrats.

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Speaker 1: I'll be honest about it. I always will be honest

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Speaker 1: with you. You know, there was a sense the country

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Speaker 1: was united against a common enemy. Our common enemy here

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Speaker 1: is a pathogen. And yet the way that this is

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Speaker 1: being reported on and talked about that the real enemy

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Speaker 1: is Trump's response to the pathogen. And I should have known.

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Speaker 1: I should have known that even now, with lives at

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Speaker 1: stake here at home, their primary focus is not on

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Speaker 1: educating and forming and preparing the public for this and

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Speaker 1: bringing us together for the most effective government response. Their

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Speaker 1: primary goal is to use this as a weapon against

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Speaker 1: Donald Trump. It's the truth, and it's actually it feels

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Speaker 1: kind of gross to say it, but it is the truth.

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Speaker 1: I mean, it makes me feel bad about the state

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Speaker 1: this country's in. And so that was mine because after

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Speaker 1: my whole experience trying to talk to mar and that

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Speaker 1: panel it sort of felt ikey, and I was like,

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Speaker 1: what is wrong with these people? I mean, it really was,

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Speaker 1: and it was in that sense very important for me

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Speaker 1: going into as I talk about being a wartime conservative,

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Speaker 1: and you've got to be a wartime conservative now on

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Speaker 1: everything at all times, because the left will see no

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Speaker 1: common ground to you. There's no principles that they will

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Speaker 1: not violate. They're in a total, a total berserker mode

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Speaker 1: trying to re establish power and control. They'll do anything,

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Speaker 1: it doesn't matter. So lesson learned. I'm always learning. I

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Speaker 1: learned from all of you as you write in and

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Speaker 1: as we continue this conversation how many years in. That

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Speaker 1: was a lesson for me. Another lesson is Joy Behar

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Speaker 1: is an idiot. Don't listen to her. And if my

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Speaker 1: words on this aren't enough for you, here's what she

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Speaker 1: had to say about AOC running for president Play fifteen.

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Speaker 1: So Aocwood it would be actually a good choice, except

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Speaker 1: that she's a Bernie person, doesn't not old enough. Well,

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Speaker 1: she's not as the vpail for a president, and it's

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Speaker 1: conceivable that the vice president is going to be president.

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Speaker 1: And now I know, people could say, well, maybe she

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Speaker 1: could be in the VP slot, but then she couldn't arise.

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Speaker 1: But then why do you have a VP who couldn't

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Speaker 1: rise me president? Right? Somebody might try to make that

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Speaker 1: argument as why Joy Behar made that mistake. But Joy

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Speaker 1: Beha had no idea that there was an age age

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Speaker 1: requirement for presidency none zero, And she's informing people across

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Speaker 1: the country every day. Um. I was told by somebody

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Speaker 1: who knows that she makes two to three million dollars

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Speaker 1: a year, do that show to be a total utter buffoon?

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Speaker 1: ABC News. ABC News would would think that Joy Behar

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Speaker 1: acceptable for their brand. They wouldn't let me on. No,

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Speaker 1: no, no no, you can't have the political science. A guy

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Speaker 1: from amhurs to work the CIA, A couple of war

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Speaker 1: zones of blah. No, no no, no, that's m that's a

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Speaker 1: little outside the maintream. Let's have Joy Behar on. It's amazing, right,

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Speaker 1: it's amazing. This is what we're up against the But

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Speaker 1: then again, I mean liberal. The only people who are

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Speaker 1: dumber than mainstream media talking heads as a general rule,

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Speaker 1: are the mainstream media corporate executives that put them in

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Speaker 1: these positions. They're even dumber and more like shameless and

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Speaker 1: reckless and self interested in everything else. So you've got it.

427
00:24:50,160 --> 00:24:52,600
Speaker 1: You've got to keep that in mind. So I'm glad

428
00:24:52,600 --> 00:24:54,800
Speaker 1: we've had a little bit of a deep dive here

429
00:24:54,840 --> 00:24:57,280
Speaker 1: into the stupidity of the media. Now I want to

430
00:24:57,280 --> 00:25:03,000
Speaker 1: take you into which is a very real thing. Oh wait,

431
00:25:03,040 --> 00:25:06,119
Speaker 1: I didn't mention this before the Bloomberg you know, and

432
00:25:06,160 --> 00:25:07,720
Speaker 1: they're talking about this. We got into this because of

433
00:25:07,720 --> 00:25:10,960
Speaker 1: the Bloomberg money that was spent in the campaign, and

434
00:25:11,080 --> 00:25:13,159
Speaker 1: now it's coming out. You know. I was making these

435
00:25:13,240 --> 00:25:15,639
Speaker 1: jokes at Producer Mark, like can we can we just

436
00:25:15,720 --> 00:25:17,639
Speaker 1: wear like a Bloomberg T shirt show up at a

437
00:25:17,720 --> 00:25:22,080
Speaker 1: rally and eat the Wagu beef sliders and the little

438
00:25:22,080 --> 00:25:25,480
Speaker 1: Fuagra terrenes and whatever else they've got yet the Bloomberg rallies.

439
00:25:25,560 --> 00:25:27,719
Speaker 1: You know, is that it turns out that people who

440
00:25:27,760 --> 00:25:31,280
Speaker 1: worked for the Bloomberg campaign are now saying that it

441
00:25:31,359 --> 00:25:34,280
Speaker 1: was a grift that a lot of them were actively

442
00:25:34,320 --> 00:25:37,960
Speaker 1: campaigning for Bernie Sanders while on the Bloomberg campaign payroll.

443
00:25:39,280 --> 00:25:42,480
Speaker 1: They did the absolute bare minimum of work. Those who

444
00:25:42,520 --> 00:25:46,280
Speaker 1: even believed in Bloomberg a little bit essentially changed their

445
00:25:46,280 --> 00:25:50,919
Speaker 1: minds after his admittedly disastrous debate performance. You know, I

446
00:25:51,000 --> 00:25:54,880
Speaker 1: had people sign DA's and I didn't want to let

447
00:25:54,920 --> 00:25:57,960
Speaker 1: them out. How much money do I have to pay

448
00:25:58,000 --> 00:26:00,919
Speaker 1: you to get you to stop asking about the and DA's.

449
00:26:01,160 --> 00:26:05,680
Speaker 1: You know, Elizabeth warren Man, she went after him. She

450
00:26:05,760 --> 00:26:10,960
Speaker 1: went after him big time. Yeah, so that's she may

451
00:26:11,000 --> 00:26:13,040
Speaker 1: have buried the hatchet, but not before she used it

452
00:26:13,080 --> 00:26:16,879
Speaker 1: against Mike Bloomberg. And you know, this is this is

453
00:26:16,920 --> 00:26:19,399
Speaker 1: just what we all expected that Bloomberg came in with

454
00:26:19,440 --> 00:26:21,600
Speaker 1: all of this money. But politics is about more than

455
00:26:21,680 --> 00:26:24,640
Speaker 1: just money. The left doesn't want to learn that very

456
00:26:24,640 --> 00:26:28,480
Speaker 1: clear lesson from this process because they'd prefer to keep

457
00:26:28,800 --> 00:26:31,479
Speaker 1: They've created this perception that the right is where all

458
00:26:31,520 --> 00:26:33,840
Speaker 1: the money is in politics somehow, even though if you

459
00:26:33,880 --> 00:26:36,439
Speaker 1: look at like the ultra billionaires in Silicon Valley at

460
00:26:36,440 --> 00:26:43,399
Speaker 1: they're liberals. They're liberals. So that's one thing about the

461
00:26:43,400 --> 00:26:45,240
Speaker 1: Bloomberg campaign that I wanted to get to. Now, now

462
00:26:45,240 --> 00:26:49,320
Speaker 1: we have to look at what's going on with Joe Biden.

463
00:26:49,640 --> 00:26:57,359
Speaker 1: He is able to possibly finish off Bernie Sanders in Michigan,

464
00:26:57,359 --> 00:27:00,600
Speaker 1: depending on how Michigan goes. I'm already seeing poles in

465
00:27:00,640 --> 00:27:05,320
Speaker 1: Florida where Apparently it is not a popular position to

466
00:27:05,400 --> 00:27:08,760
Speaker 1: take that. You know, Castro did some good things. They

467
00:27:08,800 --> 00:27:12,640
Speaker 1: don't like hearing that. In Florida, there's a whole community

468
00:27:12,640 --> 00:27:16,240
Speaker 1: of folks down there who really don't appreciate always looking

469
00:27:16,280 --> 00:27:20,680
Speaker 1: for the bright side of Castro's prison state. So Bernie

470
00:27:20,800 --> 00:27:23,320
Speaker 1: is in really bad shape in the Florida polls. So

471
00:27:23,400 --> 00:27:28,000
Speaker 1: he's toast there against Biden, but Michigan might might end

472
00:27:28,080 --> 00:27:30,560
Speaker 1: him even before that. And I say end him. He's

473
00:27:30,560 --> 00:27:32,000
Speaker 1: going to take it all the way to the convention,

474
00:27:32,400 --> 00:27:35,159
Speaker 1: but he'll be far behind in delegates. Everyone's going to

475
00:27:35,200 --> 00:27:38,040
Speaker 1: know that Biden's the the real front runner. So we

476
00:27:38,119 --> 00:27:41,480
Speaker 1: have to dig more into Joe Biden because some you've

477
00:27:41,480 --> 00:27:44,320
Speaker 1: seen a little bit of this. There are some liberals

478
00:27:44,359 --> 00:27:49,920
Speaker 1: out there who are honest about how Joe Biden isn't

479
00:27:50,000 --> 00:27:52,800
Speaker 1: what they thought they would end up with. After a

480
00:27:52,960 --> 00:27:57,320
Speaker 1: year of a Democrat primary. Think about all the candidates,

481
00:27:57,440 --> 00:28:01,200
Speaker 1: all the excitement around Kamala and Bet and Buddha Judge,

482
00:28:01,240 --> 00:28:03,840
Speaker 1: and there were like four or five people who were

483
00:28:03,840 --> 00:28:06,080
Speaker 1: excited about Julian Castro, and you know, I mean, like,

484
00:28:06,119 --> 00:28:09,359
Speaker 1: think about all these different folks. Or was it Joaquin No,

485
00:28:10,119 --> 00:28:12,639
Speaker 1: it was Julian Joaquin's twin brother. I forget it was

486
00:28:12,640 --> 00:28:17,399
Speaker 1: one of the Castro brothers. So with all of that,

487
00:28:18,280 --> 00:28:23,600
Speaker 1: they end up with the least exciting, second oldest, and

488
00:28:23,960 --> 00:28:27,400
Speaker 1: arguably just like the most boring white dude on the planet,

489
00:28:28,240 --> 00:28:31,440
Speaker 1: Joe Biden. That's what the Democratic Party after all, after

490
00:28:31,480 --> 00:28:34,119
Speaker 1: all the diversity, all the female candidates, everything, they end

491
00:28:34,200 --> 00:28:37,120
Speaker 1: up with a guy that if you were casting somebody

492
00:28:37,200 --> 00:28:45,600
Speaker 1: to be the quintessential machine politician, it would be big, grinning, handshaking,

493
00:28:45,840 --> 00:28:50,800
Speaker 1: baby sniffing, woman grabbing Joe Biden. That's what you did.

494
00:28:50,840 --> 00:28:54,480
Speaker 1: That's what you would have I mean, especially if you

495
00:28:54,480 --> 00:28:57,520
Speaker 1: were doing a comedy and corn pop. And now I

496
00:28:57,600 --> 00:29:00,360
Speaker 1: took the chain man and I had a ray and

497
00:29:00,400 --> 00:29:02,000
Speaker 1: I made it rusty, and I was gonna go out

498
00:29:02,040 --> 00:29:04,000
Speaker 1: there and rumble with corn Pop because the hair on

499
00:29:04,120 --> 00:29:06,680
Speaker 1: my legs were blond, and I was like, hey, look

500
00:29:06,680 --> 00:29:09,600
Speaker 1: at the sun glistening through my leg. Here's kid, this

501
00:29:09,640 --> 00:29:14,120
Speaker 1: isn't weird. I'm just telling you a story. I think

502
00:29:14,120 --> 00:29:18,800
Speaker 1: it's a little weird. Here's Biden's promise, though. He says

503
00:29:18,920 --> 00:29:21,960
Speaker 1: that he's gonna win, and that's been the promise all along.

504
00:29:22,080 --> 00:29:26,280
Speaker 1: Play clip ten. Look I think the one thing the

505
00:29:26,320 --> 00:29:28,479
Speaker 1: president one does want to do from the very beginning

506
00:29:28,560 --> 00:29:33,640
Speaker 1: is face me because I will beat him, period, period.

507
00:29:34,480 --> 00:29:38,640
Speaker 1: He has done everything in his power. He's even risked

508
00:29:38,640 --> 00:29:41,560
Speaker 1: his presidency because he doesn't want to face me. A

509
00:29:41,640 --> 00:29:45,520
Speaker 1: rhetorical question, have you ever ever seen a city president

510
00:29:46,000 --> 00:29:50,240
Speaker 1: gets so involved in a Democratic primary and focus so

511
00:29:50,360 --> 00:29:55,080
Speaker 1: much attention on not wanting a single person me to

512
00:29:55,160 --> 00:29:58,680
Speaker 1: become the nominee. The president does not want me to

513
00:29:58,760 --> 00:30:02,720
Speaker 1: be the nominee. I think this is going to work

514
00:30:02,720 --> 00:30:07,800
Speaker 1: out very well. I think Joe Biden, everyone has realized

515
00:30:07,840 --> 00:30:10,840
Speaker 1: for a long time, has been propped up by the machine.

516
00:30:11,520 --> 00:30:14,120
Speaker 1: They tried to do this with Hillary in twenty sixteen.

517
00:30:15,200 --> 00:30:17,440
Speaker 1: They are you know, the definition of insanity is trying

518
00:30:17,480 --> 00:30:19,600
Speaker 1: the same thing and expecting a different result. That's that's

519
00:30:19,600 --> 00:30:23,520
Speaker 1: saying they're doing. They're running the same election they did

520
00:30:23,520 --> 00:30:27,520
Speaker 1: in twenty sixteen. They're expecting a different result. Do we

521
00:30:27,560 --> 00:30:29,720
Speaker 1: really think that Joe Biden is a more inspiring, more

522
00:30:29,720 --> 00:30:35,240
Speaker 1: effective candidate than Hillary Clinton? Now? I think that Hillary is.

523
00:30:36,040 --> 00:30:39,200
Speaker 1: I had a lot of problems, but Democrats love her.

524
00:30:39,720 --> 00:30:44,000
Speaker 1: They do. The Democrat establishment loves Hillary Clinton. That's why

525
00:30:44,560 --> 00:30:46,960
Speaker 1: they went to bat for her against burning the first place.

526
00:30:47,000 --> 00:30:49,200
Speaker 1: That's why the deep state covered for her with the

527
00:30:49,240 --> 00:30:52,200
Speaker 1: email fiasco. I mean, there was so much that you

528
00:30:52,280 --> 00:30:55,720
Speaker 1: look at here that they did, and the media was

529
00:30:55,760 --> 00:30:59,040
Speaker 1: just all in against Trump in favor of Hillary, and

530
00:30:59,080 --> 00:31:03,000
Speaker 1: it wasn't enough. They think that it's going to be

531
00:31:03,120 --> 00:31:07,120
Speaker 1: enough for Biden. Let's unpack that theory together a little bit.

532
00:31:09,640 --> 00:31:12,600
Speaker 1: You're in the freedom huh. This is the Buck Sexton

533
00:31:12,680 --> 00:31:19,280
Speaker 1: Show podcast. And for folks in the working class they're

534
00:31:19,320 --> 00:31:22,479
Speaker 1: below four hundred, they will, in fact will increase their

535
00:31:22,840 --> 00:31:26,440
Speaker 1: their premiums. The public option will be available on my plan.

536
00:31:27,080 --> 00:31:29,520
Speaker 1: We'll make sure it's not a quality. We'll make sure

537
00:31:29,520 --> 00:31:33,200
Speaker 1: it's only affordable. We'll make sure it's not quality. It's

538
00:31:33,240 --> 00:31:38,360
Speaker 1: not quality, it's but only affordable. What you're gonna have

539
00:31:38,400 --> 00:31:41,040
Speaker 1: a lot more of this, Joe Biden. For a man

540
00:31:41,120 --> 00:31:45,360
Speaker 1: who effectively makes his living speaking publicly, that's really what

541
00:31:45,480 --> 00:31:48,960
Speaker 1: his job is. He's made millions of dollars as a

542
00:31:49,040 --> 00:31:54,400
Speaker 1: paid public speaker since leaving the Vice President's office, millions

543
00:31:54,480 --> 00:31:57,160
Speaker 1: of dollars. We're also going to learn more and more

544
00:31:57,160 --> 00:31:59,719
Speaker 1: about the millions of dollars that his son and brother

545
00:32:00,040 --> 00:32:02,800
Speaker 1: and other people around him made just because they happen

546
00:32:02,840 --> 00:32:07,000
Speaker 1: to be friends with Joe Biden. Interesting. Burisma is not

547
00:32:07,040 --> 00:32:08,840
Speaker 1: the only thing that people are going to be poken into.

548
00:32:10,240 --> 00:32:13,760
Speaker 1: But Biden's gaffs are one thing. And the media is

549
00:32:13,760 --> 00:32:15,800
Speaker 1: going to tell you, I already know what. They're gonna

550
00:32:15,800 --> 00:32:18,240
Speaker 1: just say, oh, everybody makes mistakes, and you'll start to

551
00:32:18,240 --> 00:32:21,800
Speaker 1: see clips of Trump, you know, speaking off the coff

552
00:32:21,880 --> 00:32:23,840
Speaker 1: where he stumbles on something, and they're gonna try to say, oh,

553
00:32:23,920 --> 00:32:26,440
Speaker 1: it's all the same and he's not senile and all that. Well,

554
00:32:26,480 --> 00:32:28,680
Speaker 1: you got you got two big problems here for Biden

555
00:32:28,920 --> 00:32:31,600
Speaker 1: that are on the on the style side of things,

556
00:32:32,280 --> 00:32:34,560
Speaker 1: not looking so much at the at the substance of

557
00:32:34,720 --> 00:32:37,200
Speaker 1: what he stands for, but more of Joe Biden the

558
00:32:37,280 --> 00:32:40,960
Speaker 1: person and stylistically how he has as a politician. You

559
00:32:41,120 --> 00:32:44,600
Speaker 1: have the gaffs, the misspeaking, which is not really a

560
00:32:44,640 --> 00:32:49,400
Speaker 1: big issue except people honestly think that he might be

561
00:32:49,440 --> 00:32:51,000
Speaker 1: in the early stages of dementia, and I think that

562
00:32:51,080 --> 00:32:54,280
Speaker 1: that's a fair discussion to have given some of the

563
00:32:54,360 --> 00:32:58,840
Speaker 1: things that he says. But then there's also that Joe Biden.

564
00:32:58,880 --> 00:33:00,920
Speaker 1: As as I told you beginning the show, Joe Biden

565
00:33:01,040 --> 00:33:05,440
Speaker 1: is a huge liar. He has a long established history

566
00:33:05,520 --> 00:33:10,840
Speaker 1: of lying about things publicly and on the record. This

567
00:33:11,200 --> 00:33:14,080
Speaker 1: was just an old news report circulating right now about

568
00:33:14,240 --> 00:33:16,160
Speaker 1: Joe Biden. I think is back in the eighties when

569
00:33:16,200 --> 00:33:19,200
Speaker 1: he was running for president the first time around. This

570
00:33:19,400 --> 00:33:20,760
Speaker 1: is going to come back to haunt this guy. Pay

571
00:33:20,800 --> 00:33:23,840
Speaker 1: twenty three. They do question stim from the hay Fred

572
00:33:23,880 --> 00:33:26,840
Speaker 1: of Marts Biden during in April the campaign affairance in

573
00:33:26,920 --> 00:33:29,960
Speaker 1: New hampshireholders. I went to law school on a full

574
00:33:30,000 --> 00:33:33,720
Speaker 1: academic scholarship, the only one in my class that have

575
00:33:33,800 --> 00:33:36,840
Speaker 1: a full academic scholarship. Went back to law school and

576
00:33:37,000 --> 00:33:39,120
Speaker 1: in fact ended up in the top half of my class.

577
00:33:39,480 --> 00:33:42,479
Speaker 1: I was the outstanding student in the political science department

578
00:33:42,520 --> 00:33:44,160
Speaker 1: at the end of my year. I graduated with three

579
00:33:44,240 --> 00:33:47,080
Speaker 1: degrees from undergraduate school in one hundred and sixty five credits,

580
00:33:47,160 --> 00:33:49,239
Speaker 1: only need one hundred and twenty three credits. Biden now

581
00:33:49,320 --> 00:33:51,560
Speaker 1: concedes he did not graduate in the top half of

582
00:33:51,600 --> 00:33:53,920
Speaker 1: his law school class, that he does not have three

583
00:33:53,960 --> 00:33:56,800
Speaker 1: degrees from college, and that he was not named outstanding

584
00:33:56,880 --> 00:34:00,320
Speaker 1: political science student in college. This Week says Biden actually

585
00:34:00,360 --> 00:34:02,800
Speaker 1: went to school on a half scholarship, ended up near

586
00:34:02,840 --> 00:34:05,320
Speaker 1: the bottom of his class, and one only one degree,

587
00:34:05,600 --> 00:34:08,840
Speaker 1: not three. Joe Biden ranked seventy sixth in a class

588
00:34:08,880 --> 00:34:11,640
Speaker 1: of eighty five at the University of Securities, Syracuse Law School.

589
00:34:11,800 --> 00:34:14,279
Speaker 1: I mean, this guy comes off this whole thing as

590
00:34:14,320 --> 00:34:17,000
Speaker 1: a flyway and al Biden says a week's right. His

591
00:34:17,120 --> 00:34:22,240
Speaker 1: memory had failed out, his memory had failed him. My friends,

592
00:34:23,200 --> 00:34:26,160
Speaker 1: I am honored every day by this audience giving me

593
00:34:26,440 --> 00:34:28,960
Speaker 1: their time. I mean, I really do. I love all

594
00:34:29,000 --> 00:34:30,560
Speaker 1: of you, even though I've only met a handful of

595
00:34:30,640 --> 00:34:35,080
Speaker 1: you in person. If if I ran around saying that

596
00:34:35,280 --> 00:34:41,520
Speaker 1: I was a Harvard educated Rhodes scholar who also won

597
00:34:41,680 --> 00:34:45,200
Speaker 1: like a Westinghouse Prize in science and it turned out

598
00:34:45,280 --> 00:34:47,600
Speaker 1: that no, like I just went to undergrad somewhere and

599
00:34:47,719 --> 00:34:51,000
Speaker 1: got a degree like everybody else. Would anybody believe that

600
00:34:51,080 --> 00:34:53,400
Speaker 1: that was just my memory? But this was in the eighties,

601
00:34:53,560 --> 00:35:00,840
Speaker 1: he wasn't super old. Anybody believe that that would be okay,

602
00:35:01,239 --> 00:35:04,200
Speaker 1: I'd get a passion on that one. Three degrees, no

603
00:35:04,680 --> 00:35:09,360
Speaker 1: one degree, full scholarship, no partial scholarship, top of his class,

604
00:35:09,680 --> 00:35:15,960
Speaker 1: no bottom of his class. Joe Biden is a consistent

605
00:35:16,960 --> 00:35:23,360
Speaker 1: and continuous liar. Some people might even say pathological thanks

606
00:35:23,400 --> 00:35:26,680
Speaker 1: for listening to The Bus Sesson Show podcasts. Remember to

607
00:35:26,719 --> 00:35:30,520
Speaker 1: subscribe on Apple podcast, the iHeartRadio app, or wherever you

608
00:35:30,640 --> 00:35:35,320
Speaker 1: get your podcasts. I will also say, guys, that it

609
00:35:35,560 --> 00:35:38,960
Speaker 1: is I think that we all know. And this election

610
00:35:39,040 --> 00:35:43,080
Speaker 1: cycle in particular has also presented very legitimate questions about

611
00:35:43,120 --> 00:35:46,440
Speaker 1: the challenges of women running for president of the United States.

612
00:35:47,160 --> 00:35:49,759
Speaker 1: What do you say, though, well, it's obvious, just look

613
00:35:49,800 --> 00:35:52,600
Speaker 1: at what's happened. Look, it's what's happened. There are no

614
00:35:52,719 --> 00:35:56,880
Speaker 1: women currently in this race, and I you know, we

615
00:35:56,920 --> 00:35:59,360
Speaker 1: can have a longer discussion about it. But the reality

616
00:35:59,520 --> 00:36:01,480
Speaker 1: is that there's still a lot of work to be

617
00:36:01,600 --> 00:36:06,360
Speaker 1: done to make it very clear that women are exceptionally

618
00:36:06,520 --> 00:36:09,440
Speaker 1: qualified and capable of being the commander in chief of

619
00:36:09,440 --> 00:36:12,920
Speaker 1: the United States of America. Gender in this race, you know,

620
00:36:14,400 --> 00:36:20,279
Speaker 1: that is the trap question for every woman. If you say, yeah,

621
00:36:20,920 --> 00:36:25,440
Speaker 1: there was sexism in this race, everyone says bliner. And

622
00:36:25,719 --> 00:36:29,360
Speaker 1: if you say no, there was no sexism about a

623
00:36:29,400 --> 00:36:34,160
Speaker 1: Brazilian women, think, what planet do you live on? I

624
00:36:34,320 --> 00:36:36,400
Speaker 1: promise you this. I don't have a lot more to

625
00:36:36,440 --> 00:36:40,839
Speaker 1: say on that subject. Later on, I'm sure she will.

626
00:36:41,600 --> 00:36:44,600
Speaker 1: She was like, a, here's the reason that I not

627
00:36:44,719 --> 00:36:48,800
Speaker 1: gonna be given the nuclear codes on the biggest job

628
00:36:48,920 --> 00:36:54,000
Speaker 1: in the country is people just won't vote for a

629
00:36:54,120 --> 00:36:59,800
Speaker 1: woman prison. Oh, it's not true. And also, let's just

630
00:37:00,000 --> 00:37:02,440
Speaker 1: step back for a moment, as Kamala Harris that we

631
00:37:02,520 --> 00:37:06,080
Speaker 1: had Kamala and Warren, we could play. Others too are

632
00:37:06,360 --> 00:37:08,800
Speaker 1: complaining about how we don't we don't have a woman

633
00:37:10,040 --> 00:37:13,560
Speaker 1: presidential well presidential contender. First of all, it's not true.

634
00:37:13,960 --> 00:37:17,359
Speaker 1: Tulsi Gavard is still running for president. And I also

635
00:37:17,440 --> 00:37:20,360
Speaker 1: think it's so interesting that the way this is framed

636
00:37:21,360 --> 00:37:27,800
Speaker 1: is immediately like skips past, it immediately jumps beyond. This

637
00:37:28,000 --> 00:37:32,600
Speaker 1: is a Democrat primary, So is the Democratic Party full

638
00:37:32,640 --> 00:37:36,480
Speaker 1: of sexists? Is the Democrat Party full of people that

639
00:37:36,600 --> 00:37:38,920
Speaker 1: are unwilling to vote for a woman to be president?

640
00:37:39,040 --> 00:37:43,080
Speaker 1: Because I can't blame this one on Republicans. It's not

641
00:37:43,200 --> 00:37:48,879
Speaker 1: a Republicans thing. So and also this is just why

642
00:37:48,960 --> 00:37:51,560
Speaker 1: it is whining. It's whinning. Elizabeth Warren is not a

643
00:37:51,600 --> 00:37:54,800
Speaker 1: strong candidate. She didn't win her own home state, for

644
00:37:54,880 --> 00:37:58,840
Speaker 1: heaven's sakes. She came in third in Massachusetts behind Biden

645
00:37:58,880 --> 00:38:03,479
Speaker 1: and Bernie Sanders. She had the most bizarre political self

646
00:38:03,560 --> 00:38:05,600
Speaker 1: inflicted wound I've ever seen what they're like. Oh, I'm

647
00:38:05,680 --> 00:38:09,399
Speaker 1: one run thousand and twenty fourth Native Americans, see I win?

648
00:38:10,800 --> 00:38:15,120
Speaker 1: Who wants some pow wow chow. No no, no, no,

649
00:38:15,560 --> 00:38:18,560
Speaker 1: we're not just gonna pretend that that didn't happen. And

650
00:38:19,800 --> 00:38:22,319
Speaker 1: if you remember, because liberals like to tell us about

651
00:38:22,360 --> 00:38:24,160
Speaker 1: this all the time, Hillary Clinton actually got more on

652
00:38:24,200 --> 00:38:26,200
Speaker 1: the popular vote than Trump, even though that's not the

653
00:38:26,320 --> 00:38:30,160
Speaker 1: contest that's being run, and that I can't emphasize. I

654
00:38:30,200 --> 00:38:32,239
Speaker 1: don't have a lot of people that live in California

655
00:38:32,360 --> 00:38:35,560
Speaker 1: and New York State don't vote for Republicans because they

656
00:38:35,600 --> 00:38:37,759
Speaker 1: know they're gonna not it's the vote's gonna go to

657
00:38:37,840 --> 00:38:41,320
Speaker 1: the Democrat. A lot of campaigning is focused on battleground

658
00:38:41,400 --> 00:38:43,600
Speaker 1: states that is not focused on getting the vote out

659
00:38:43,640 --> 00:38:46,040
Speaker 1: of you know, that's not the contest that's being run.

660
00:38:46,120 --> 00:38:49,520
Speaker 1: So it's a stupid point. But in terms of the

661
00:38:49,600 --> 00:38:52,160
Speaker 1: willingness of people to just in general cast votes for

662
00:38:52,239 --> 00:38:55,960
Speaker 1: a female to be president, I mean, we've already run

663
00:38:56,000 --> 00:38:57,719
Speaker 1: the experiment plenty. People are willing to vote for a

664
00:38:57,760 --> 00:38:59,880
Speaker 1: woman to be president, and I think a lot of

665
00:39:00,080 --> 00:39:03,759
Speaker 1: people would like, you know, it feels good. There's all

666
00:39:03,800 --> 00:39:06,840
Speaker 1: this research that social scientists who aren't really scientists, but

667
00:39:06,880 --> 00:39:10,680
Speaker 1: they call themselves that, you know, political scientists. Again, not science,

668
00:39:10,719 --> 00:39:14,120
Speaker 1: its politics. But they'll look into this. And by polling

669
00:39:14,360 --> 00:39:17,160
Speaker 1: and by the studies, people vote. A lot of why

670
00:39:17,239 --> 00:39:20,160
Speaker 1: they vote is a result of how it makes them

671
00:39:20,400 --> 00:39:23,480
Speaker 1: feel to cast that vote. What does it say about

672
00:39:23,600 --> 00:39:26,680
Speaker 1: me to vote for this person or to vote for

673
00:39:26,880 --> 00:39:30,359
Speaker 1: this proposition, if it's some kind of a referendum, right,

674
00:39:30,760 --> 00:39:32,560
Speaker 1: how do I feel about myself when I do that?

675
00:39:34,000 --> 00:39:37,160
Speaker 1: And this is why, you know, we kept hearing about how, oh,

676
00:39:37,280 --> 00:39:39,880
Speaker 1: you know, Obama had to overcome so much racism in

677
00:39:39,920 --> 00:39:42,799
Speaker 1: the president you know, to become president. No, people were

678
00:39:42,920 --> 00:39:47,400
Speaker 1: excited in general at the prospect of voting for the

679
00:39:47,480 --> 00:39:51,400
Speaker 1: first African American president. It made them feel good. Anybody

680
00:39:51,440 --> 00:39:55,520
Speaker 1: who was ideologically open to Obama's agenda felt great voting

681
00:39:55,560 --> 00:39:58,239
Speaker 1: for the first first African American president. And a lot

682
00:39:58,320 --> 00:40:02,120
Speaker 1: of people who were you know, independent minded, however, they

683
00:40:02,320 --> 00:40:05,520
Speaker 1: probably voted for Obama in part because they wanted to

684
00:40:05,600 --> 00:40:07,439
Speaker 1: vote for the first African ranger. The same thing would

685
00:40:07,440 --> 00:40:10,040
Speaker 1: be true voting for the first woman president. You want

686
00:40:10,080 --> 00:40:13,560
Speaker 1: to be on that groundbreaking history making victory train, right,

687
00:40:14,320 --> 00:40:15,560
Speaker 1: but you don't want to do it if you think

688
00:40:15,600 --> 00:40:19,240
Speaker 1: the person who you're voting for happens to be terrible.

689
00:40:20,000 --> 00:40:22,480
Speaker 1: That's just the case of its with Warren. People don't

690
00:40:22,520 --> 00:40:26,440
Speaker 1: like her. Yeah, the media can maybe push her far

691
00:40:26,600 --> 00:40:28,440
Speaker 1: enough so that she can continue to be a Senator

692
00:40:28,600 --> 00:40:34,360
Speaker 1: from Massachusetts, but it just doesn't have national level appeal.

693
00:40:35,640 --> 00:40:38,920
Speaker 1: And she's somebody who there's nothing about her that you

694
00:40:38,960 --> 00:40:41,759
Speaker 1: can point to and say, yeah, that feels like it's

695
00:40:41,800 --> 00:40:43,920
Speaker 1: really authentic and really good. In fact, the best stuff

696
00:40:43,960 --> 00:40:46,399
Speaker 1: that she's done in the past, you know, her book

697
00:40:46,440 --> 00:40:49,320
Speaker 1: on the two income trap is very interesting, and I

698
00:40:49,400 --> 00:40:52,200
Speaker 1: think that that's something that does deserve more public discussion.

699
00:40:52,280 --> 00:40:56,319
Speaker 1: Why is it now? Why is it now the standard

700
00:40:56,960 --> 00:41:00,840
Speaker 1: that so many people, particularly in urban areas, right in cities.

701
00:41:01,719 --> 00:41:05,200
Speaker 1: It is expected in our culture generally some of you,

702
00:41:05,280 --> 00:41:06,960
Speaker 1: of course you're gonna say, no, it's not. But if

703
00:41:07,000 --> 00:41:08,799
Speaker 1: you live in New York, if you live in California,

704
00:41:08,840 --> 00:41:11,279
Speaker 1: you live in a lot of a lot of these

705
00:41:11,360 --> 00:41:15,719
Speaker 1: blue strongholds. Two parents working, even with small kids at home,

706
00:41:15,760 --> 00:41:18,240
Speaker 1: that's the expectation. Why is that it was not always

707
00:41:18,280 --> 00:41:22,319
Speaker 1: the case? That has changed now? And there's a there's

708
00:41:22,320 --> 00:41:24,319
Speaker 1: a lot of complicated reasons We could cite for why

709
00:41:24,400 --> 00:41:26,720
Speaker 1: that is some of them economics, of them, our social

710
00:41:27,560 --> 00:41:31,040
Speaker 1: but it has certainly changed this country in ways that

711
00:41:31,120 --> 00:41:33,279
Speaker 1: we haven't really fully come to grips with yet. She

712
00:41:33,400 --> 00:41:35,800
Speaker 1: wrote a book on that, she had interesting ideas on that,

713
00:41:35,920 --> 00:41:39,800
Speaker 1: but now she's all she's like Burnie Light. She's the

714
00:41:39,880 --> 00:41:43,279
Speaker 1: female Bernie who's a little more palatable to the establishment,

715
00:41:43,400 --> 00:41:45,800
Speaker 1: and so that was what she was going for. And

716
00:41:45,880 --> 00:41:49,279
Speaker 1: I just think it it actually damages the future prospects

717
00:41:49,360 --> 00:41:51,399
Speaker 1: of other women on either side of the aisle who

718
00:41:51,440 --> 00:41:54,480
Speaker 1: had vote for president to have this consistent Oh it

719
00:41:54,719 --> 00:41:58,239
Speaker 1: was sex Orsum No, we make fun of everybody who

720
00:41:58,320 --> 00:42:01,920
Speaker 1: runs for president, male, email, you name it. We make

721
00:42:02,040 --> 00:42:05,719
Speaker 1: fun of every candidate. We judge every candidate based on

722
00:42:05,840 --> 00:42:07,799
Speaker 1: who they are, what they stand for, what they say.

723
00:42:09,239 --> 00:42:12,440
Speaker 1: And there's really I just don't believe this myth that

724
00:42:12,600 --> 00:42:17,040
Speaker 1: lives tell themselves that it's because Hilary was a woman

725
00:42:17,080 --> 00:42:19,080
Speaker 1: that she didn't win, and she's she of course has

726
00:42:19,080 --> 00:42:21,880
Speaker 1: blended on sexism. It's sour grapes. I mean, this is

727
00:42:21,960 --> 00:42:25,320
Speaker 1: sore loser stuff. It's sore loser stuff from from Elizabeth

728
00:42:25,320 --> 00:42:29,839
Speaker 1: Warren to be sure. Um, I mean this Pelosi says

729
00:42:29,880 --> 00:42:34,560
Speaker 1: the same thing. Play she's She's going on Pelosi play seventeen.

730
00:42:35,560 --> 00:42:39,520
Speaker 1: But I do think there's a certain element of misogyny

731
00:42:39,680 --> 00:42:42,080
Speaker 1: that is that is there, and some of it isn't

732
00:42:42,120 --> 00:42:46,360
Speaker 1: really mean spirited. It's just isn't their experience. Many of

733
00:42:46,440 --> 00:42:48,120
Speaker 1: them will tell you they had a strong mom, they

734
00:42:48,160 --> 00:42:52,839
Speaker 1: have strong sisters, they have strong daughters. But but they

735
00:42:53,200 --> 00:42:59,040
Speaker 1: you know, they had their own insecurities. It's just a

736
00:42:59,120 --> 00:43:02,680
Speaker 1: cheap shot, is it based on what? Why is she

737
00:43:02,760 --> 00:43:05,480
Speaker 1: saying this? There are insecurities that people would not vote

738
00:43:05,520 --> 00:43:07,719
Speaker 1: for a woman president. Maybe it's just not a good candidate,

739
00:43:09,560 --> 00:43:11,640
Speaker 1: you know. I think what's going to happen. By the way,

740
00:43:11,800 --> 00:43:13,560
Speaker 1: I'm just gonna put this out there. I think you're

741
00:43:13,600 --> 00:43:15,879
Speaker 1: gonna have and I'm not gonna name. I'm not gonna

742
00:43:16,040 --> 00:43:18,319
Speaker 1: I'm on that prediction business in politics for at least

743
00:43:18,320 --> 00:43:21,240
Speaker 1: the next couple of weeks, because it looks like Biden

744
00:43:21,360 --> 00:43:25,520
Speaker 1: is going to be the nominee. Whoops. But I think

745
00:43:25,560 --> 00:43:28,120
Speaker 1: you're going to have the first president of the United

746
00:43:28,200 --> 00:43:34,080
Speaker 1: States be a Republicans who's a female. I think you're

747
00:43:34,080 --> 00:43:36,200
Speaker 1: gonna have the first female president of the United States

748
00:43:36,280 --> 00:43:40,280
Speaker 1: be a Republican and that will be a fascinating test

749
00:43:41,040 --> 00:43:44,880
Speaker 1: of liberals who claim that you're shattering the ultimate glass ceiling,

750
00:43:44,960 --> 00:43:47,960
Speaker 1: and because they've created this whole identity, which I know

751
00:43:48,040 --> 00:43:49,759
Speaker 1: we talked a lot yesterday about this, and it was

752
00:43:49,840 --> 00:43:51,440
Speaker 1: kind of an intense first hour of the show. But

753
00:43:51,520 --> 00:43:53,400
Speaker 1: I think it's an important and intense topic and we

754
00:43:53,480 --> 00:43:55,799
Speaker 1: have to speak honestly about it. When you have women

755
00:43:56,239 --> 00:43:58,520
Speaker 1: shrieking and screaming on the steps of the Supreme Court

756
00:43:58,560 --> 00:44:01,640
Speaker 1: about how proud they are of their abortions, I almost

757
00:44:01,680 --> 00:44:03,960
Speaker 1: want to I honestly, I almost want to cry for them,

758
00:44:04,320 --> 00:44:06,719
Speaker 1: Like it made I tear up thinking about what they've

759
00:44:06,800 --> 00:44:10,880
Speaker 1: done to those unborn babies and to themselves and to

760
00:44:10,920 --> 00:44:13,080
Speaker 1: their souls in the process. But you know, we have

761
00:44:13,160 --> 00:44:15,080
Speaker 1: to we have to move on to other topics. Today.

762
00:44:15,680 --> 00:44:20,080
Speaker 1: Liberal women, though, have adopted this mentality that they're to

763
00:44:20,280 --> 00:44:23,959
Speaker 1: be the first of all, I got so much today,

764
00:44:24,000 --> 00:44:25,359
Speaker 1: I don't know. I just came in. I came into

765
00:44:25,400 --> 00:44:28,319
Speaker 1: work today is ready to fire on all cylinders. First

766
00:44:28,360 --> 00:44:33,600
Speaker 1: of all, liberal women have a difficult time now accepting

767
00:44:33,880 --> 00:44:37,760
Speaker 1: the progressive agenda because or they should have a difficult

768
00:44:37,760 --> 00:44:40,239
Speaker 1: time with it, because it doesn't really allow for a

769
00:44:40,640 --> 00:44:45,360
Speaker 1: clear definition of what a woman is really mean that

770
00:44:46,239 --> 00:44:50,239
Speaker 1: what is a woman? According to libs, it's not a

771
00:44:50,320 --> 00:44:54,080
Speaker 1: biological state. It might be a psychological state, but it's

772
00:44:54,120 --> 00:45:01,600
Speaker 1: not a psychological state that anybody could particularly explain. You know,

773
00:45:01,760 --> 00:45:04,919
Speaker 1: they'll say, and there's a lot of incoherence here too.

774
00:45:05,840 --> 00:45:09,480
Speaker 1: You know, they'll say that boys and girls don't like

775
00:45:09,640 --> 00:45:11,840
Speaker 1: young boys and girls don't play with different toys because

776
00:45:11,840 --> 00:45:14,960
Speaker 1: of biology. But then the moment somebody says that they're

777
00:45:15,000 --> 00:45:17,200
Speaker 1: trans picture, if it's a boy who thinks he's a

778
00:45:17,280 --> 00:45:20,040
Speaker 1: girl who's you know, eight or nine years old, they

779
00:45:20,120 --> 00:45:23,320
Speaker 1: want to start dressing it and dressing him like a girl,

780
00:45:23,680 --> 00:45:25,719
Speaker 1: playing with girl toy. They want all the trappings of

781
00:45:25,840 --> 00:45:29,360
Speaker 1: female stuff. But but but there's no biological connection between

782
00:45:29,400 --> 00:45:32,000
Speaker 1: these things. I'll tell you. So then why the big

783
00:45:32,120 --> 00:45:35,320
Speaker 1: push to have the kid playing with the female stuff

784
00:45:35,320 --> 00:45:39,400
Speaker 1: and dressing as a female. It's incoherent. You can't make

785
00:45:39,480 --> 00:45:41,440
Speaker 1: sense of it. You can't. They can't define what a

786
00:45:41,520 --> 00:45:44,800
Speaker 1: woman is. But here is what they will define for you.

787
00:45:45,719 --> 00:45:49,000
Speaker 1: The left believes that to be considered a woman to

788
00:45:49,120 --> 00:45:56,040
Speaker 1: be in good standing with the female gender slash whatever

789
00:45:56,120 --> 00:45:59,719
Speaker 1: that includes, that's not actually female. Now you have to

790
00:45:59,840 --> 00:46:03,760
Speaker 1: adopt certain political positions. And if you do not adopt

791
00:46:03,840 --> 00:46:08,120
Speaker 1: those political positions, internalize them, fight for them, believe them.

792
00:46:10,000 --> 00:46:12,560
Speaker 1: You know, shriek about equal pay when it's a myth.

793
00:46:13,000 --> 00:46:14,960
Speaker 1: You know that the pay gap is because of sexism.

794
00:46:15,000 --> 00:46:16,759
Speaker 1: It's just not true. Economists have looked at it over

795
00:46:16,840 --> 00:46:18,600
Speaker 1: and over. Every time they come back it's not true,

796
00:46:18,640 --> 00:46:21,759
Speaker 1: but they say it. Claim that men and women are equal,

797
00:46:22,239 --> 00:46:27,000
Speaker 1: claimed that there's no important biological difference between male and

798
00:46:27,080 --> 00:46:29,239
Speaker 1: female strength and endurance and other things. So that you know,

799
00:46:29,320 --> 00:46:31,680
Speaker 1: we need to have women and forward combat roles, even

800
00:46:31,719 --> 00:46:34,120
Speaker 1: if they can't actually meet the standards. We need to

801
00:46:34,200 --> 00:46:36,719
Speaker 1: have men competing in women's sports, all these different things.

802
00:46:37,280 --> 00:46:40,680
Speaker 1: You have to accept all of that. But but this

803
00:46:41,000 --> 00:46:43,319
Speaker 1: single most important thing to be a woman, if you're

804
00:46:43,320 --> 00:46:47,520
Speaker 1: going to be considered a real woman by the left,

805
00:46:47,560 --> 00:46:50,040
Speaker 1: by the Democratic Party in American today, you must be

806
00:46:51,320 --> 00:46:57,759
Speaker 1: absolutely devoted to abortion as a as a fundamental female right.

807
00:46:58,480 --> 00:47:00,800
Speaker 1: And if you're not, you're not actually anymore. And we

808
00:47:00,880 --> 00:47:03,000
Speaker 1: will see this play out when if we do have

809
00:47:03,080 --> 00:47:06,279
Speaker 1: a female Republican candidate for the presidency. And there are

810
00:47:06,280 --> 00:47:07,799
Speaker 1: a few that come to mind that I think are

811
00:47:07,960 --> 00:47:12,480
Speaker 1: gonna after Trump hopefully wins reelection. But there are a

812
00:47:12,520 --> 00:47:14,239
Speaker 1: few that I think we could all point to and

813
00:47:14,320 --> 00:47:19,759
Speaker 1: say that would be probably a formidable Candida candidacy. You

814
00:47:19,880 --> 00:47:22,880
Speaker 1: will see the media without without even batting an eyelash,

815
00:47:22,920 --> 00:47:28,040
Speaker 1: without even a second thought, start running with well, it's

816
00:47:28,120 --> 00:47:31,120
Speaker 1: they're not really this isn't really a win for women

817
00:47:31,200 --> 00:47:35,520
Speaker 1: because this this Republican presidential contender isn't really a woman

818
00:47:36,480 --> 00:47:41,880
Speaker 1: because she believes in oh, I don't know a traditional

819
00:47:42,000 --> 00:47:45,160
Speaker 1: family and male and female roles and his pro life.

820
00:47:45,920 --> 00:47:48,640
Speaker 1: That's pretty much. If you answer yes to those things,

821
00:47:48,719 --> 00:47:51,759
Speaker 1: you're not really a woman according to Democrats. You're you're

822
00:47:51,760 --> 00:47:55,400
Speaker 1: a traitor, You're you're outside. You have female biology, but

823
00:47:55,600 --> 00:47:59,640
Speaker 1: not a not the female you know, membership card or whatever.

824
00:48:00,600 --> 00:48:02,720
Speaker 1: That's where we are in America today. It's pretty upsetting,

825
00:48:02,719 --> 00:48:07,279
Speaker 1: it's pretty absurd, but that's the truth. You're in the

826
00:48:07,440 --> 00:48:10,799
Speaker 1: Freedom Hud. This is the Buck Sex and Show Podcast.

827
00:48:14,600 --> 00:48:19,080
Speaker 1: The best estimates now of the overall mortality rate for

828
00:48:19,239 --> 00:48:25,120
Speaker 1: COVID nineteen is somewhere between point one percent and one percent. Okay,

829
00:48:25,600 --> 00:48:29,440
Speaker 1: that's lower than you heard probably in many reports. Why

830
00:48:29,680 --> 00:48:33,719
Speaker 1: is this number one is because many people don't get

831
00:48:33,760 --> 00:48:37,760
Speaker 1: sick and don't get tested. So probably for this reflects

832
00:48:37,800 --> 00:48:41,000
Speaker 1: the overseas experience. So probably for every case there are

833
00:48:41,000 --> 00:48:43,480
Speaker 1: at least two or three PAER cases that are not

834
00:48:43,640 --> 00:48:46,320
Speaker 1: in the denominator. So I just want to sort of

835
00:48:46,400 --> 00:48:50,560
Speaker 1: scale that it's certainly could be higher than normal fluid.

836
00:48:50,640 --> 00:48:53,680
Speaker 1: Probably is, but it's not likely in the range of

837
00:48:53,719 --> 00:48:57,719
Speaker 1: two to three percent. Who does that sound like? I mean,

838
00:48:57,840 --> 00:49:00,880
Speaker 1: who's been telling you that? You might say, buck, Is

839
00:49:00,920 --> 00:49:04,719
Speaker 1: that just some random person? Though? That's the Assistant Secretary

840
00:49:04,800 --> 00:49:09,279
Speaker 1: for Health, Admiral Brett jeer War at the Department of

841
00:49:09,360 --> 00:49:13,640
Speaker 1: Health and Human Services. That's exactly what I've been telling you,

842
00:49:14,760 --> 00:49:20,440
Speaker 1: because I've read about previous outbreaks of particularly dangerous influenza

843
00:49:20,480 --> 00:49:24,080
Speaker 1: in the last twenty years, and the initial the initial

844
00:49:24,160 --> 00:49:28,920
Speaker 1: panic is always accompanied by an initially much higher mortality rate.

845
00:49:30,080 --> 00:49:32,640
Speaker 1: And yet sometimes a mortality rate is higher in general

846
00:49:32,680 --> 00:49:35,440
Speaker 1: when they finally crunch all the numbers properly than standard

847
00:49:35,480 --> 00:49:39,880
Speaker 1: flu strains, but it's less than when the initial panic happens.

848
00:49:40,600 --> 00:49:44,440
Speaker 1: And that's a big difference. Right. If I'm about to

849
00:49:44,440 --> 00:49:46,839
Speaker 1: start doing I learned from MSNBC you don't do math

850
00:49:46,920 --> 00:49:49,680
Speaker 1: on the fly. But the difference between a point one

851
00:49:49,800 --> 00:49:55,520
Speaker 1: percent mortality rate and a two percent mortality rate is

852
00:49:55,800 --> 00:49:59,760
Speaker 1: when you're talking about playing that math out over perhaps

853
00:50:00,080 --> 00:50:04,080
Speaker 1: millions and millions of people is enormous. That's a very

854
00:50:04,200 --> 00:50:07,680
Speaker 1: very big difference. So that's why when people start talking

855
00:50:07,760 --> 00:50:11,600
Speaker 1: about the Spanish flu, a five percent mortality rate is

856
00:50:11,760 --> 00:50:15,680
Speaker 1: really scary, right. That means you're you're losing for every

857
00:50:15,680 --> 00:50:18,160
Speaker 1: one hundred people that are getting infected, five people are dying.

858
00:50:18,320 --> 00:50:20,400
Speaker 1: And you play that out every thousand people, you know,

859
00:50:20,640 --> 00:50:23,920
Speaker 1: fifty every doing a lot of math down the show.

860
00:50:24,000 --> 00:50:27,319
Speaker 1: I did not learn my less from MSNBC. But that's

861
00:50:27,440 --> 00:50:31,080
Speaker 1: that's where we are. That's the true number is going

862
00:50:31,200 --> 00:50:32,920
Speaker 1: to be less than the two to three percent that

863
00:50:33,000 --> 00:50:35,520
Speaker 1: you've heard. Based on all the data we've seen so far.

864
00:50:36,120 --> 00:50:38,360
Speaker 1: Because we know about all the mortalities where there are

865
00:50:38,480 --> 00:50:40,279
Speaker 1: proven cases, we don't know about all the people who

866
00:50:40,320 --> 00:50:43,280
Speaker 1: have been exposed, that number is going to get bigger.

867
00:50:44,040 --> 00:50:45,640
Speaker 1: So I wanted to share that with you. I just

868
00:50:45,680 --> 00:50:49,640
Speaker 1: wanted to say, stop panic buying everything, folks, Okay, this

869
00:50:49,880 --> 00:50:52,560
Speaker 1: is not this is not helpful. It's not like I

870
00:50:52,640 --> 00:50:54,359
Speaker 1: know you're not doing this. I mean, look a little

871
00:50:54,400 --> 00:50:56,200
Speaker 1: bit of preparedness. I think it's going to be prepared

872
00:50:56,239 --> 00:50:59,919
Speaker 1: in general. So I'm not saying don't have two weeks

873
00:51:00,160 --> 00:51:02,600
Speaker 1: of a food on hand. I think that's a good

874
00:51:02,680 --> 00:51:06,320
Speaker 1: idea period I do. I could live out of my

875
00:51:06,760 --> 00:51:09,799
Speaker 1: freezer alone, assuming the power stays on. But I can

876
00:51:09,880 --> 00:51:11,800
Speaker 1: live out of my freezer alone as long as I

877
00:51:11,880 --> 00:51:17,839
Speaker 1: had running water and electricity for probably I'd say two

878
00:51:18,000 --> 00:51:19,759
Speaker 1: or three weeks just out of my freezer, never mind

879
00:51:19,800 --> 00:51:22,080
Speaker 1: the fridge or the pantry. Bruster Mark, if you had

880
00:51:22,120 --> 00:51:26,200
Speaker 1: to in in Castle and Castle de Mark, you and Ariel,

881
00:51:26,560 --> 00:51:28,800
Speaker 1: how long could you last with what you've got already

882
00:51:29,040 --> 00:51:32,080
Speaker 1: access to food wise? Right now? Not a lot because

883
00:51:32,080 --> 00:51:34,919
Speaker 1: I'm moving, that's right, So well when you move into

884
00:51:34,960 --> 00:51:37,600
Speaker 1: the place, would you please, I'll feel better if I

885
00:51:37,719 --> 00:51:39,960
Speaker 1: know you and Ael you guys need you need like

886
00:51:40,040 --> 00:51:42,560
Speaker 1: two weeks a grub? Yeah, I mean we usually have

887
00:51:42,640 --> 00:51:45,560
Speaker 1: a full freezer. Yeah, that's what I'm saying, have that freezer.

888
00:51:45,640 --> 00:51:48,040
Speaker 1: And you know soup Campbell soup. I should have known

889
00:51:48,120 --> 00:51:50,120
Speaker 1: that Campbell soup have been a great buye. I should

890
00:51:50,160 --> 00:51:52,480
Speaker 1: have thought of this. That's the main soup. That's the

891
00:51:52,520 --> 00:51:55,080
Speaker 1: main soup people go to a lot of them have gluten.

892
00:51:55,120 --> 00:51:57,160
Speaker 1: So I can't do that, but there are other soups

893
00:51:57,200 --> 00:52:00,279
Speaker 1: I like, but that's you know, some canst off and

894
00:52:00,440 --> 00:52:04,040
Speaker 1: freezer and you're good. Now the freezer obviously, if we

895
00:52:04,080 --> 00:52:05,839
Speaker 1: if we if we get to dogs and cats living

896
00:52:05,840 --> 00:52:08,480
Speaker 1: together Massesteria, the power goes out, you gotta eat that

897
00:52:08,520 --> 00:52:11,919
Speaker 1: freezer stuff pretty fast. But assuming that that's not the case,

898
00:52:11,960 --> 00:52:14,719
Speaker 1: but there might just be shortages in stores or you know,

899
00:52:15,480 --> 00:52:17,560
Speaker 1: you're you're gonna be in good shape. You're gonna be

900
00:52:17,600 --> 00:52:19,880
Speaker 1: in good shape. I've been in that situation after hurricanes

901
00:52:19,960 --> 00:52:22,400
Speaker 1: when the power goes out. Where were you for Hurricane Sandy?

902
00:52:23,040 --> 00:52:25,239
Speaker 1: For Sandy, I was in Queens, so it wasn't that bad,

903
00:52:25,320 --> 00:52:27,000
Speaker 1: but I was down. I lived down in Florida for

904
00:52:27,040 --> 00:52:29,880
Speaker 1: her middle school in high school, so I went through

905
00:52:29,880 --> 00:52:32,160
Speaker 1: a couple of hurricanes. Yeah, did you ever have to

906
00:52:32,200 --> 00:52:33,520
Speaker 1: like kind of rely on what was just in the

907
00:52:33,760 --> 00:52:35,560
Speaker 1: house for a few days. There were a couple times

908
00:52:35,600 --> 00:52:36,960
Speaker 1: where the power was out for a few days and

909
00:52:37,040 --> 00:52:39,919
Speaker 1: we lost all the food because we couldn't cook it either. Yeah,

910
00:52:40,120 --> 00:52:42,960
Speaker 1: so that was always tough. Yeah, I mean I remember

911
00:52:43,040 --> 00:52:45,920
Speaker 1: I was actually staying It's a long story how I

912
00:52:46,040 --> 00:52:47,799
Speaker 1: was staying in a hotel in New York City, even

913
00:52:47,840 --> 00:52:51,680
Speaker 1: though I lived here during Hurricane Sandy, and I went

914
00:52:51,760 --> 00:52:54,400
Speaker 1: up to the roof while the hurricane was going on

915
00:52:54,480 --> 00:52:57,040
Speaker 1: the roof of this hotel. The hotel maintained power. Three

916
00:52:57,120 --> 00:53:00,400
Speaker 1: blocks from us blackness power went out. I was just

917
00:53:01,000 --> 00:53:03,719
Speaker 1: above where the power outage was, and I went to

918
00:53:03,800 --> 00:53:06,040
Speaker 1: the roof the night of the and I could see

919
00:53:06,600 --> 00:53:09,360
Speaker 1: all of southern Manhattan and you could see the blacked

920
00:53:09,360 --> 00:53:12,360
Speaker 1: out areas, and I gotta tell you, that was spooky stuff.

921
00:53:13,040 --> 00:53:15,239
Speaker 1: It was spooky to see a huge section of New

922
00:53:15,320 --> 00:53:18,600
Speaker 1: York City and pitch blackness, a pitch black at night.

923
00:53:18,960 --> 00:53:20,480
Speaker 1: And then the next morning we had all these people

924
00:53:20,520 --> 00:53:22,200
Speaker 1: coming up because we were one of the first places.

925
00:53:22,239 --> 00:53:23,960
Speaker 1: The hotel is actually very good. They're giving them a

926
00:53:24,080 --> 00:53:26,839
Speaker 1: coffee and donuts and please use our power like they were.

927
00:53:26,960 --> 00:53:28,799
Speaker 1: I was impressed. This was a nomad hotel in New

928
00:53:28,880 --> 00:53:31,759
Speaker 1: York City. A great hotel by the way, but yeah,

929
00:53:31,880 --> 00:53:35,680
Speaker 1: there were people walking up and they were The thing

930
00:53:35,760 --> 00:53:37,880
Speaker 1: that really freed people out was if you lived on

931
00:53:37,960 --> 00:53:40,000
Speaker 1: like the thirty eight or fortieth story of a building.

932
00:53:40,400 --> 00:53:43,280
Speaker 1: The power went out a lot of those buildings. Internally

933
00:53:43,320 --> 00:53:45,120
Speaker 1: in the stairs, there's no there's no windows, and there

934
00:53:45,320 --> 00:53:47,839
Speaker 1: they didn't have emergency lighting and you had to walk

935
00:53:47,880 --> 00:53:49,600
Speaker 1: down the walk down the stairs. So people are using

936
00:53:49,600 --> 00:53:52,839
Speaker 1: their phones as flashlights. Thanks for listening to The Bus

937
00:53:52,960 --> 00:53:57,000
Speaker 1: Sesson Show podcasts. Remember to subscribe on Apple podcast, the

938
00:53:57,120 --> 00:54:01,399
Speaker 1: iHeart Radio app, or wherever you get your podcast. Well,

939
00:54:01,480 --> 00:54:03,560
Speaker 1: I think people are viewing us as having done a

940
00:54:03,680 --> 00:54:05,239
Speaker 1: very good job. What we have to do is do

941
00:54:05,280 --> 00:54:09,240
Speaker 1: a very professional job. Nobody is blaming us for the virus. Nobody,

942
00:54:09,320 --> 00:54:11,759
Speaker 1: I mean, I haven't heard that, even from some of

943
00:54:11,880 --> 00:54:14,040
Speaker 1: the so called enemies or whatever you want to call them.

944
00:54:14,080 --> 00:54:16,920
Speaker 1: Then I'm blaming us. Just started in China. How it

945
00:54:17,080 --> 00:54:20,320
Speaker 1: started as questioned, but thousands and thousands of cases in

946
00:54:20,440 --> 00:54:24,600
Speaker 1: China and it infiltrated to almost a hundred countries right now.

947
00:54:26,080 --> 00:54:29,440
Speaker 1: Excuse me, but I'm just asking about, you know, in

948
00:54:29,560 --> 00:54:32,120
Speaker 1: terms of things you can't control, right the impact on

949
00:54:32,200 --> 00:54:35,239
Speaker 1: the economy, and that potentially, you know, that could if

950
00:54:35,280 --> 00:54:37,040
Speaker 1: people feel like the economy is turning around, that that

951
00:54:37,080 --> 00:54:39,480
Speaker 1: could be an election issue as you go into it. Well, look,

952
00:54:39,520 --> 00:54:41,920
Speaker 1: we were set to hit thirty thousand on the day.

953
00:54:42,120 --> 00:54:44,719
Speaker 1: This is a number that nobody ever even came close to,

954
00:54:45,239 --> 00:54:47,200
Speaker 1: and already we have the number and even though it's

955
00:54:47,280 --> 00:54:49,719
Speaker 1: down ten or eleven percent, that's still the highest it's

956
00:54:49,760 --> 00:54:53,160
Speaker 1: ever been by far. It certainly might have an impact.

957
00:54:53,239 --> 00:54:55,560
Speaker 1: At the same time, I have to say, people are

958
00:54:55,600 --> 00:54:58,000
Speaker 1: now staying in the United States, spending them money in

959
00:54:58,080 --> 00:54:59,920
Speaker 1: the US, and I like that. You know, I've been

960
00:55:00,120 --> 00:55:02,319
Speaker 1: after that for a long time. You know that, I've

961
00:55:02,360 --> 00:55:04,440
Speaker 1: been saying, let's stay in the US, spending money here,

962
00:55:04,480 --> 00:55:06,719
Speaker 1: and they're doing this. They're sort of enforced doing that.

963
00:55:07,239 --> 00:55:09,640
Speaker 1: We met with the airline companies yesterday. They're doing a

964
00:55:09,680 --> 00:55:12,440
Speaker 1: fantastic job and they're just not flying to areas that

965
00:55:12,520 --> 00:55:15,359
Speaker 1: have a big problem. So it's going to all work out.

966
00:55:15,440 --> 00:55:18,200
Speaker 1: Everybody has to become it's all going to work out.

967
00:55:19,360 --> 00:55:21,680
Speaker 1: I think that's the message, and I agree with the

968
00:55:21,719 --> 00:55:24,399
Speaker 1: President here on that. Now, I do disagree that people

969
00:55:24,400 --> 00:55:27,600
Speaker 1: aren't blaming the president. Well they're not blaming him for

970
00:55:27,920 --> 00:55:31,120
Speaker 1: the existence of coronavirus. But I've been on the receiving

971
00:55:31,239 --> 00:55:35,839
Speaker 1: end of psycholibs saying that the President is not doing

972
00:55:35,920 --> 00:55:37,759
Speaker 1: a good job on this, that we're you know, we're

973
00:55:37,800 --> 00:55:39,960
Speaker 1: all at risk because of him, and there's a lot

974
00:55:40,040 --> 00:55:43,240
Speaker 1: of that. I mean, it obviously knows that, but clearly

975
00:55:43,320 --> 00:55:45,960
Speaker 1: there's No, there's no one who's blaming him for this.

976
00:55:46,320 --> 00:55:48,440
Speaker 1: I think it is interesting. Now. Look, I know it's

977
00:55:48,440 --> 00:55:52,839
Speaker 1: a conspiracy theory that's out there without there's no evidence yet,

978
00:55:53,960 --> 00:55:58,440
Speaker 1: and there's also no one who really knows yet. Epstein

979
00:55:58,480 --> 00:56:01,480
Speaker 1: didn't kill himself. No, I'm just kidding. That's a different thing. Uh,

980
00:56:02,080 --> 00:56:06,600
Speaker 1: there is a conspiracy theory out there that the open

981
00:56:06,760 --> 00:56:09,040
Speaker 1: that the open air market where they think this thing

982
00:56:09,120 --> 00:56:12,880
Speaker 1: started in Wuhan, Wuhan City, which I believe is in

983
00:56:12,960 --> 00:56:18,560
Speaker 1: Hu Bay Province. My Mid East geography is phenomenal, my

984
00:56:20,880 --> 00:56:25,360
Speaker 1: China specific internal geography. I got the major cities and

985
00:56:25,520 --> 00:56:28,320
Speaker 1: I know where the Muslims are and uh, that's a

986
00:56:28,560 --> 00:56:30,399
Speaker 1: pay it out. I know where the Shaalan monks are

987
00:56:30,600 --> 00:56:32,400
Speaker 1: and after that, I get a little shaky. I'm not

988
00:56:32,440 --> 00:56:35,400
Speaker 1: a lot I'm not. I'm not an Asia specialist by trade.

989
00:56:35,440 --> 00:56:38,600
Speaker 1: I was a Mid East guy. So when I when

990
00:56:38,600 --> 00:56:40,640
Speaker 1: if I ever mess up, you know now, I'm all

991
00:56:40,719 --> 00:56:43,800
Speaker 1: I'm all like nervous that after making fun of MSNBC,

992
00:56:44,040 --> 00:56:47,640
Speaker 1: MSNBC for being so stupid, you also had Anna Navarro

993
00:56:47,840 --> 00:56:50,080
Speaker 1: that one of the dumbest, if not the dumbest, political

994
00:56:50,080 --> 00:56:53,560
Speaker 1: analyst at CNN come out to say that she was

995
00:56:53,640 --> 00:56:58,560
Speaker 1: in Arkansas and she just doesn't understand how people from Arkansas,

996
00:56:58,800 --> 00:57:00,840
Speaker 1: who are seemed pretty nice could have given someone so

997
00:57:01,000 --> 00:57:03,880
Speaker 1: terrible like given us someone so terrible like Jeff Sessions,

998
00:57:04,120 --> 00:57:08,160
Speaker 1: because you know, Arkansas and Alabama totally the same. Anyway,

999
00:57:08,760 --> 00:57:13,480
Speaker 1: the theory that they have about the virus in Wuhan

1000
00:57:14,440 --> 00:57:18,200
Speaker 1: is that it came from some these open air markets.

1001
00:57:18,240 --> 00:57:20,160
Speaker 1: They call them wet markets. I think they've stopped calling

1002
00:57:20,200 --> 00:57:23,760
Speaker 1: them that, but there's video of it. You see it,

1003
00:57:23,800 --> 00:57:25,680
Speaker 1: You're like, wow, I can't believe people actually this is

1004
00:57:25,720 --> 00:57:29,520
Speaker 1: where they go to get animals to eat. But it

1005
00:57:29,640 --> 00:57:31,919
Speaker 1: was that it was bats. Initially, bat soup was getting

1006
00:57:31,920 --> 00:57:34,040
Speaker 1: a lot of a lot of attention that it turned

1007
00:57:34,080 --> 00:57:36,240
Speaker 1: out they said it was a pangol in, and let's

1008
00:57:36,240 --> 00:57:38,840
Speaker 1: be honest, all of us were like googling once a pangolin.

1009
00:57:39,920 --> 00:57:41,680
Speaker 1: I think I'm pretty good with animals, and I had

1010
00:57:41,680 --> 00:57:43,640
Speaker 1: to think about what a pangolin looked like before for

1011
00:57:43,720 --> 00:57:46,960
Speaker 1: a moment before I could figure that one out. And

1012
00:57:47,560 --> 00:57:50,440
Speaker 1: now they're not, you know, they don't really know. But

1013
00:57:51,640 --> 00:57:55,520
Speaker 1: there's also it is a coincidence. I'm not but there

1014
00:57:55,680 --> 00:58:01,919
Speaker 1: is a a virology bioweapons lab very close to where

1015
00:58:02,000 --> 00:58:07,040
Speaker 1: this where this outbreak happened. That is just an interest.

1016
00:58:07,080 --> 00:58:09,000
Speaker 1: It is just an interesting coincidence. I know they've said

1017
00:58:09,000 --> 00:58:10,920
Speaker 1: it's a debunk theory or you know, people put it

1018
00:58:11,000 --> 00:58:15,440
Speaker 1: out there early on. Okay, but we really I mean,

1019
00:58:15,520 --> 00:58:18,080
Speaker 1: China is a very big place with a lot of people.

1020
00:58:18,680 --> 00:58:21,320
Speaker 1: The one place that I know of that I've read

1021
00:58:21,400 --> 00:58:26,240
Speaker 1: about where they do biological weapons research in China. Unless

1022
00:58:26,320 --> 00:58:30,640
Speaker 1: I'm missing something that the virus would have popped up

1023
00:58:30,640 --> 00:58:34,040
Speaker 1: for the first time within a matter of miles of

1024
00:58:34,120 --> 00:58:38,080
Speaker 1: that place, it seems notable. That's all. It just seems notable.

1025
00:58:38,120 --> 00:58:40,600
Speaker 1: I can't it can make it a claim about where

1026
00:58:40,640 --> 00:58:43,520
Speaker 1: it came from. This just I got thinking about this

1027
00:58:43,640 --> 00:58:46,680
Speaker 1: because yes, they're not blaming Trump for the existence of

1028
00:58:46,720 --> 00:58:49,880
Speaker 1: the virus, but they're look, they're rooting against America. And

1029
00:58:50,200 --> 00:58:52,600
Speaker 1: this is pretty pretty frightening to think about. But there

1030
00:58:52,680 --> 00:58:55,120
Speaker 1: are a lot of people on the left who are

1031
00:58:55,480 --> 00:58:59,160
Speaker 1: are clearly, in my mind, okay, with this becoming a

1032
00:58:59,360 --> 00:59:01,880
Speaker 1: big desire as long as the means Donald Trump doesn't

1033
00:59:01,880 --> 00:59:04,280
Speaker 1: get to continue to be president. And let's actually play

1034
00:59:04,320 --> 00:59:06,520
Speaker 1: this out for a second. If you believe the rhetoric

1035
00:59:06,560 --> 00:59:09,280
Speaker 1: of the Libs. They say that Donald Trump is a traitor.

1036
00:59:09,320 --> 00:59:11,480
Speaker 1: They say that Donald Trump is a threat, a clear

1037
00:59:11,560 --> 00:59:14,160
Speaker 1: and present danger could lead us into, say, a nuclear

1038
00:59:14,280 --> 00:59:17,200
Speaker 1: war with North Korea. These are all things they've said.

1039
00:59:17,240 --> 00:59:19,640
Speaker 1: You know, I'm not that none of those are exaggerations.

1040
00:59:20,040 --> 00:59:22,440
Speaker 1: Prominent people in the media and politics have said that

1041
00:59:22,480 --> 00:59:27,600
Speaker 1: about this president. If you believe that, and you know

1042
00:59:27,800 --> 00:59:32,080
Speaker 1: that in a bad flu season, eighty thousand Americans might

1043
00:59:32,160 --> 00:59:35,960
Speaker 1: die anyway, if you're leaving it up to the left,

1044
00:59:36,000 --> 00:59:38,760
Speaker 1: to the Libs to make this determination, do they think

1045
00:59:39,400 --> 00:59:42,560
Speaker 1: that it is now? I don't think that they're actively

1046
00:59:42,640 --> 00:59:44,920
Speaker 1: trying to make things worse. But if they were offered

1047
00:59:44,920 --> 00:59:48,760
Speaker 1: a choice between a future in which America suffered, let's say,

1048
00:59:49,280 --> 00:59:53,480
Speaker 1: a total of under a thousand deaths from coronavirus but

1049
00:59:53,560 --> 01:00:00,600
Speaker 1: Trump wins, or fifty thousand deaths from corona virus but

1050
01:00:00,680 --> 01:00:05,200
Speaker 1: Trump loses. I do believe that there are leftists, and

1051
01:00:05,240 --> 01:00:07,400
Speaker 1: I'm not talking about just crazy people living in basements

1052
01:00:07,440 --> 01:00:10,000
Speaker 1: writing comments. I do believe it there are Democrats and

1053
01:00:10,080 --> 01:00:15,480
Speaker 1: liberals who would prefer the latter outcome. That is the

1054
01:00:15,600 --> 01:00:18,880
Speaker 1: degree of Trump derangement syndrome that exists in this country.

1055
01:00:19,240 --> 01:00:21,320
Speaker 1: And I'm not saying they're working toward that outcome. I'm

1056
01:00:21,360 --> 01:00:23,240
Speaker 1: not saying they're trying to, you know, spread, I'm just

1057
01:00:23,320 --> 01:00:26,760
Speaker 1: saying if you ask them which future they would prefer

1058
01:00:28,840 --> 01:00:31,920
Speaker 1: less than a thousand dead from coronavirus in America and

1059
01:00:32,200 --> 01:00:35,720
Speaker 1: Trump is president for four more years or fifty thousand

1060
01:00:35,800 --> 01:00:40,840
Speaker 1: dead from coronavirus, but Trump is guaranteed to lose. I

1061
01:00:40,880 --> 01:00:42,400
Speaker 1: don't think I'm alone here. I think I think a

1062
01:00:42,440 --> 01:00:43,840
Speaker 1: lot of people would agree with me that there are

1063
01:00:43,920 --> 01:00:46,840
Speaker 1: libs out there who would say that the second one

1064
01:00:46,920 --> 01:00:49,280
Speaker 1: is more important for America. That's a better future for America.

1065
01:00:49,640 --> 01:00:53,880
Speaker 1: That's terrifying. It's terrifying, but it's the truth. And I've

1066
01:00:53,880 --> 01:00:55,440
Speaker 1: always promised you that I'll speak the truth to you

1067
01:00:55,520 --> 01:00:58,160
Speaker 1: no matter what, no matter what comes from it, no

1068
01:00:58,240 --> 01:01:01,280
Speaker 1: matter what happens. And that's really what I learned when

1069
01:01:01,280 --> 01:01:02,960
Speaker 1: I was out in California. That's what I learned from

1070
01:01:03,000 --> 01:01:04,520
Speaker 1: being on the Bill Mars Show. That's what I see

1071
01:01:05,040 --> 01:01:06,720
Speaker 1: day in and day out now with a lot of

1072
01:01:07,480 --> 01:01:09,600
Speaker 1: the truly Trump to arrange, there are something. There are

1073
01:01:09,680 --> 01:01:14,120
Speaker 1: Democrats who clearly would reject this and say no, no, no,

1074
01:01:14,320 --> 01:01:16,520
Speaker 1: life is I'm look, I'm not somebody thinks, so all

1075
01:01:16,600 --> 01:01:18,600
Speaker 1: Democrats are bad. I have a lot of Democrat friends.

1076
01:01:18,640 --> 01:01:21,000
Speaker 1: I'm not one of these people, but there is this

1077
01:01:21,760 --> 01:01:26,560
Speaker 1: this crazy sort of Bolshevik fringe in the Democrat Party

1078
01:01:26,640 --> 01:01:30,080
Speaker 1: that's very powerful. So they may not be a large number,

1079
01:01:30,160 --> 01:01:35,040
Speaker 1: but they're very influential. And I think that they would

1080
01:01:35,080 --> 01:01:37,160
Speaker 1: they would make that that choice in a way that

1081
01:01:37,360 --> 01:01:43,320
Speaker 1: is deeply disconcerting if they were given that option, And

1082
01:01:43,360 --> 01:01:45,480
Speaker 1: it's a it's a thought experiment that's worth doing for us.

1083
01:01:45,480 --> 01:01:48,480
Speaker 1: So we really understand who they are, I mean, who

1084
01:01:48,720 --> 01:01:51,520
Speaker 1: the political opposition to Trump really is what they're all about.

1085
01:01:54,520 --> 01:01:56,640
Speaker 1: You know who definitely agrees with me about how we

1086
01:01:56,720 --> 01:02:00,400
Speaker 1: have to get serious about this. You've probably heard of before,

1087
01:02:01,280 --> 01:02:03,360
Speaker 1: Prucer Mark. Would you play clip nineteen for me please?

1088
01:02:04,760 --> 01:02:07,440
Speaker 1: And that's how Poland survived a thousand years of invasion.

1089
01:02:07,600 --> 01:02:11,320
Speaker 1: You either start protecting yourself or you die. You either

1090
01:02:11,440 --> 01:02:14,520
Speaker 1: fight or die. And that's why folks as a lot

1091
01:02:14,520 --> 01:02:17,480
Speaker 1: of changes around here. Because I'm in war moat and

1092
01:02:17,640 --> 01:02:20,440
Speaker 1: nobody in a fight is gonna grab me like a

1093
01:02:20,480 --> 01:02:21,960
Speaker 1: woman by the hair and slam my head in the

1094
01:02:22,000 --> 01:02:25,080
Speaker 1: ground like I'm They're gonna get nothing but pure war

1095
01:02:25,720 --> 01:02:29,960
Speaker 1: because the season of war is now upon US information war,

1096
01:02:30,120 --> 01:02:38,680
Speaker 1: culture war, spiritual war. Sky is I don't even know

1097
01:02:38,760 --> 01:02:42,160
Speaker 1: what to say. I saw that clip making the rounds.

1098
01:02:43,400 --> 01:02:45,840
Speaker 1: We are in a political war right now. That is true.

1099
01:02:46,040 --> 01:02:47,880
Speaker 1: But some of the other stuff that he said, I

1100
01:02:47,960 --> 01:02:50,560
Speaker 1: was like, Oh my gosh, good heavens, where do they

1101
01:02:50,600 --> 01:02:55,720
Speaker 1: where do they find this fellow? You're in the freedom hunt.

1102
01:02:56,160 --> 01:03:03,560
Speaker 1: This is the Buck Sexton Show podcast. You are a

1103
01:03:03,640 --> 01:03:08,560
Speaker 1: self proclaimed germophobe. In the campaign. Before the campaign, you

1104
01:03:08,640 --> 01:03:12,560
Speaker 1: didn't like to shake hands. You change that? What did doctor?

1105
01:03:12,760 --> 01:03:15,360
Speaker 1: I'm not thrilled. Yeah, yeah, you're not thrilled. What did

1106
01:03:15,400 --> 01:03:17,520
Speaker 1: doctor say to you? Have you changed anything in the

1107
01:03:17,560 --> 01:03:20,400
Speaker 1: way that you operate? So, yeah, it's a great question

1108
01:03:20,440 --> 01:03:22,240
Speaker 1: because I've always felt, you know, I don't know, from

1109
01:03:22,280 --> 01:03:24,320
Speaker 1: the time I was a young guy. You know, I've

1110
01:03:24,320 --> 01:03:26,280
Speaker 1: always felt the concept wasn't good. Then you'd read a

1111
01:03:26,320 --> 01:03:28,840
Speaker 1: lot of medical reports. Is not good now, especially they're saying,

1112
01:03:29,320 --> 01:03:30,840
Speaker 1: by the way, if there was ever a time then

1113
01:03:30,880 --> 01:03:33,200
Speaker 1: you could convince people not to shake hands. This could

1114
01:03:33,240 --> 01:03:35,600
Speaker 1: be it. Okay, this could be at Elbow And you

1115
01:03:35,680 --> 01:03:38,360
Speaker 1: know what I did? You know what I did? I

1116
01:03:38,640 --> 01:03:41,680
Speaker 1: really I love the people of this country. You can't

1117
01:03:41,720 --> 01:03:44,160
Speaker 1: be a politician and shake hands. People come in. When

1118
01:03:44,160 --> 01:03:46,240
Speaker 1: I leave, I'll be shaking hands with people. They want

1119
01:03:46,240 --> 01:03:47,640
Speaker 1: to shake your hands, they want to say hello, they

1120
01:03:47,680 --> 01:03:48,880
Speaker 1: want to hug you, they want to kiss you. I

1121
01:03:48,960 --> 01:03:50,960
Speaker 1: don't care. It doesn't mean you have to do that.

1122
01:03:51,560 --> 01:03:53,280
Speaker 1: If I went around, I don't shake it. Can you

1123
01:03:53,360 --> 01:03:55,280
Speaker 1: imagine I'm going to speak with a group of people

1124
01:03:55,320 --> 01:03:57,400
Speaker 1: and they like Trump and they come up, sir, thank

1125
01:03:57,400 --> 01:04:00,520
Speaker 1: you everybody. I don't shake hands. It's over. I don't

1126
01:04:00,560 --> 01:04:03,240
Speaker 1: care how nicely you say that. The bottom line is

1127
01:04:03,360 --> 01:04:06,560
Speaker 1: I shake anybody's hand. Now. I'm proud of it. They're

1128
01:04:06,880 --> 01:04:08,800
Speaker 1: people that I love, the people that I want to

1129
01:04:08,880 --> 01:04:14,360
Speaker 1: take care of. This is why Donald Trump is where

1130
01:04:14,440 --> 01:04:19,360
Speaker 1: he is and why he is probably well, I won't

1131
01:04:19,360 --> 01:04:21,640
Speaker 1: get ahead of ourselves, but this is why Donald Trump

1132
01:04:21,960 --> 01:04:25,760
Speaker 1: has been successful as a politician with the establishment completely

1133
01:04:25,800 --> 01:04:30,560
Speaker 1: deadset against him, because he understands people, because he and

1134
01:04:30,680 --> 01:04:35,280
Speaker 1: he actually likes people. I think Elizabeth Warren is a fraud.

1135
01:04:35,400 --> 01:04:37,840
Speaker 1: I think Elizabeth Warren, if she has she had her way,

1136
01:04:38,240 --> 01:04:40,320
Speaker 1: she would just hang out with people from the Harvard

1137
01:04:40,360 --> 01:04:43,120
Speaker 1: Faculty lounge and you know the people that are of

1138
01:04:43,240 --> 01:04:49,600
Speaker 1: her similar socioeconomic, you know, echelon, and that that's it.

1139
01:04:49,880 --> 01:04:51,840
Speaker 1: You know, I don't think that Elizabeth Warren wants to

1140
01:04:51,880 --> 01:04:53,720
Speaker 1: spend a lot of time around people that she doesn't

1141
01:04:54,200 --> 01:04:57,040
Speaker 1: that that you know, aren't her. Are her cup of tea?

1142
01:04:57,440 --> 01:05:00,800
Speaker 1: You could say, and people cup on this. This is

1143
01:05:00,920 --> 01:05:03,760
Speaker 1: one the one thing I've always I've always known, I've

1144
01:05:03,760 --> 01:05:06,720
Speaker 1: always seen this and you're you know, you're aware of this. Uh,

1145
01:05:07,360 --> 01:05:09,800
Speaker 1: those of us who see everybody else as a person.

1146
01:05:10,520 --> 01:05:13,600
Speaker 1: You know, there's somebody who's who speaks to whether it's

1147
01:05:13,640 --> 01:05:16,000
Speaker 1: the guy you know, delivering the pizza, or the person

1148
01:05:16,160 --> 01:05:19,320
Speaker 1: cleaning you know, cleaning the pipes for your toilet, or

1149
01:05:20,360 --> 01:05:24,160
Speaker 1: whomever it may be. People might try to be polite,

1150
01:05:24,200 --> 01:05:25,680
Speaker 1: but you can always tell the people that have a

1151
01:05:25,760 --> 01:05:28,480
Speaker 1: conversation that's just polite with those individuals versus the people

1152
01:05:28,520 --> 01:05:30,880
Speaker 1: that have that conversation and they just see them as

1153
01:05:30,880 --> 01:05:32,320
Speaker 1: a person. They want to talk to them. They like them,

1154
01:05:32,360 --> 01:05:35,400
Speaker 1: They like people and everywhere. They just like people as

1155
01:05:35,400 --> 01:05:39,600
Speaker 1: a general thing. They like other human beings. Donald Trump

1156
01:05:39,680 --> 01:05:42,520
Speaker 1: has that. This is why, you know, whether he's talking

1157
01:05:42,680 --> 01:05:45,160
Speaker 1: to the CEO of a company or he's talking to,

1158
01:05:46,320 --> 01:05:49,240
Speaker 1: you know, a construction team, that's sitting on the sidewalk,

1159
01:05:49,440 --> 01:05:51,520
Speaker 1: you know, with their lunch pails eating, you know, eating

1160
01:05:51,560 --> 01:05:57,480
Speaker 1: a sandwich. He likes them, and that comes across, you know,

1161
01:05:57,680 --> 01:06:00,960
Speaker 1: I think as much as he he's unmessed in a

1162
01:06:01,000 --> 01:06:04,240
Speaker 1: lot of other ways. I think Bill Clinton does like people.

1163
01:06:04,360 --> 01:06:06,360
Speaker 1: I mean, he's an ego mamiac, and he's a liar,

1164
01:06:06,440 --> 01:06:10,960
Speaker 1: and he's a sexual assault allegations against him, a lot

1165
01:06:11,000 --> 01:06:14,040
Speaker 1: of bad stuff. But I think Bill Clinton does like people,

1166
01:06:14,320 --> 01:06:16,320
Speaker 1: and that always came across from everyone I know who's

1167
01:06:16,320 --> 01:06:18,560
Speaker 1: interacted with them and deal with them. He's you know,

1168
01:06:18,720 --> 01:06:21,120
Speaker 1: he likes himself more. But look, Trump has a healthy

1169
01:06:21,160 --> 01:06:25,280
Speaker 1: ego too. Some of these politicians he put forward. Bernie

1170
01:06:25,320 --> 01:06:29,120
Speaker 1: Sanders doesn't like people. Elizabeth Warren doesn't like people. I

1171
01:06:29,400 --> 01:06:35,160
Speaker 1: think Joe Biden has spent his entire career really honing

1172
01:06:35,280 --> 01:06:39,200
Speaker 1: at least the appearance of just liking people. And if

1173
01:06:39,240 --> 01:06:41,840
Speaker 1: I'm I'm gonna try to be fair here, I think

1174
01:06:41,920 --> 01:06:45,160
Speaker 1: I think I think he actually does at some level.

1175
01:06:45,280 --> 01:06:47,520
Speaker 1: You know, I think he likes people more than Elizabeth

1176
01:06:47,520 --> 01:06:50,600
Speaker 1: Warren does. And this is one of the this is

1177
01:06:50,800 --> 01:06:54,320
Speaker 1: a version of that Oh when somebody was running for office,

1178
01:06:54,360 --> 01:06:55,800
Speaker 1: do you want to have a beer with them. Well,

1179
01:06:55,840 --> 01:06:58,440
Speaker 1: what are you really talking about there? It's not are

1180
01:06:58,480 --> 01:07:01,320
Speaker 1: they going to really entertain you? Are they gonna be hilarious,

1181
01:07:01,480 --> 01:07:03,440
Speaker 1: or are they gonna agree with all of your positions?

1182
01:07:03,920 --> 01:07:05,280
Speaker 1: The do you want to have a beer with this

1183
01:07:05,360 --> 01:07:06,800
Speaker 1: person thing is do you get the sense that this

1184
01:07:06,880 --> 01:07:11,160
Speaker 1: person just has a warmth in their approach to other

1185
01:07:11,280 --> 01:07:14,160
Speaker 1: human beings and just comes to every meeting with another

1186
01:07:14,240 --> 01:07:20,720
Speaker 1: person from a place of basic Hey, I'm glad to

1187
01:07:20,800 --> 01:07:23,800
Speaker 1: be here, good to know you, and you know, want

1188
01:07:23,840 --> 01:07:26,560
Speaker 1: the best for you. I think that's an energy that

1189
01:07:26,720 --> 01:07:29,000
Speaker 1: that's a mindset that people have whenever they meet with

1190
01:07:29,040 --> 01:07:31,720
Speaker 1: other human beings, or they could have the end here.

1191
01:07:31,760 --> 01:07:36,439
Speaker 1: I am fine, Okay, yes I will talk to poor

1192
01:07:36,560 --> 01:07:39,920
Speaker 1: people today because like I'm running for president. But I

1193
01:07:40,000 --> 01:07:44,400
Speaker 1: mean that was the way that was Bloomberg's approach didn't

1194
01:07:44,440 --> 01:07:48,160
Speaker 1: warrant out very well. Elizabeth Warren always tries to oh,

1195
01:07:48,360 --> 01:07:50,320
Speaker 1: you know, I'm from Oklahoma and I was a single

1196
01:07:50,400 --> 01:07:52,640
Speaker 1: mother and i was fired from a job as a teacher,

1197
01:07:52,720 --> 01:07:56,240
Speaker 1: and oh bah broh all this stuff, and a lot

1198
01:07:56,280 --> 01:07:58,800
Speaker 1: of people will hear that and just sort of say, yeah,

1199
01:07:58,960 --> 01:08:00,920
Speaker 1: but it sounds like you're trying to sell me on

1200
01:08:01,080 --> 01:08:04,680
Speaker 1: why you like me as a person or you like people,

1201
01:08:05,680 --> 01:08:08,800
Speaker 1: instead of just show me. Just be normal, like I

1202
01:08:08,800 --> 01:08:10,200
Speaker 1: don't know how else to say this sometimes and then

1203
01:08:10,280 --> 01:08:12,400
Speaker 1: just be cool, you know, just be good to people.

1204
01:08:12,840 --> 01:08:15,680
Speaker 1: They pick that up no matter what someone's level of

1205
01:08:15,800 --> 01:08:19,439
Speaker 1: education is, no matter what background somebody has. One of

1206
01:08:19,479 --> 01:08:22,040
Speaker 1: the universal human constants I think is people can pick

1207
01:08:22,120 --> 01:08:24,080
Speaker 1: up when other people actually just kind of like people.

1208
01:08:25,520 --> 01:08:29,640
Speaker 1: And for politicians it's a very powerful, a very powerful

1209
01:08:29,760 --> 01:08:33,200
Speaker 1: trait to have. In fact, some people might argue, especially

1210
01:08:33,240 --> 01:08:36,479
Speaker 1: in the pre you know, internet and pre mass media

1211
01:08:36,520 --> 01:08:38,960
Speaker 1: age is a critical one, right, I mean the feeling

1212
01:08:39,000 --> 01:08:42,040
Speaker 1: that you give to people when you meet them. And

1213
01:08:42,160 --> 01:08:45,000
Speaker 1: I think it's it's not impossible to fake. I you know,

1214
01:08:45,200 --> 01:08:47,240
Speaker 1: I think Biden's a little bit a faker, but he's

1215
01:08:47,240 --> 01:08:50,840
Speaker 1: gotten pretty good at it. It's something though, that if

1216
01:08:51,040 --> 01:08:53,360
Speaker 1: if you're dealing with the person who's reasonably well attuned,

1217
01:08:53,479 --> 01:08:56,799
Speaker 1: they won't they won't be able to pull off seeming

1218
01:08:56,920 --> 01:08:59,519
Speaker 1: like they like people when they really don't, when they're

1219
01:08:59,560 --> 01:09:03,960
Speaker 1: really just could care less. So that's how I feel

1220
01:09:03,960 --> 01:09:06,680
Speaker 1: about that. Trump shaking people's hands, even though he's a germophobe,

1221
01:09:06,800 --> 01:09:10,760
Speaker 1: is kind of an example of how he understands that

1222
01:09:11,200 --> 01:09:12,320
Speaker 1: this is what he's got to do, this is the

1223
01:09:12,439 --> 01:09:14,880
Speaker 1: job he's in for. I would also know we are

1224
01:09:14,920 --> 01:09:16,120
Speaker 1: going to be in a little bit of a strange

1225
01:09:16,120 --> 01:09:18,439
Speaker 1: position because we're an election year where presidents. We are

1226
01:09:18,439 --> 01:09:23,160
Speaker 1: gonna have two presidential contenders who are older, white males,

1227
01:09:24,280 --> 01:09:28,400
Speaker 1: who if we have this COVID nineteen thing spreading in

1228
01:09:29,080 --> 01:09:33,960
Speaker 1: mass fashion, which could very well happen, Let's let's be

1229
01:09:34,000 --> 01:09:35,840
Speaker 1: clear about this. I mean the president and also the

1230
01:09:36,320 --> 01:09:38,559
Speaker 1: contender against him, Joe Biden, mean they are in high

1231
01:09:38,680 --> 01:09:41,800
Speaker 1: risk categories. I don't know. I'm assuming that they're just

1232
01:09:41,840 --> 01:09:44,240
Speaker 1: going to continue business as usual and go to huge

1233
01:09:44,280 --> 01:09:47,519
Speaker 1: events and shake people's hands. And but this is a

1234
01:09:48,000 --> 01:09:50,840
Speaker 1: I think from an epidemiological standpoint, you have to think

1235
01:09:50,880 --> 01:09:53,680
Speaker 1: of This is a this is a real concern. This

1236
01:09:53,840 --> 01:09:56,200
Speaker 1: is a real thing that we have to be aware of.

1237
01:09:57,680 --> 01:10:00,680
Speaker 1: I appreciate that the president's out there calling people. It's

1238
01:10:00,680 --> 01:10:03,840
Speaker 1: okay that he's calming the nation as much as he

1239
01:10:03,920 --> 01:10:08,280
Speaker 1: can while being responsible about taking the proper precautions. And

1240
01:10:08,600 --> 01:10:10,160
Speaker 1: I just think that if you had a different president,

1241
01:10:10,240 --> 01:10:12,160
Speaker 1: the media would be helping him with this instead of

1242
01:10:12,240 --> 01:10:16,560
Speaker 1: constantly trying to undermine this message. I mean, here's this

1243
01:10:16,640 --> 01:10:18,240
Speaker 1: is all from the Fox News town Hall last night

1244
01:10:18,280 --> 01:10:21,720
Speaker 1: with Martha Mcaluman, Brett Bear play play eight. I think

1245
01:10:21,840 --> 01:10:24,960
Speaker 1: the country is far more united than people think. And

1246
01:10:25,200 --> 01:10:28,639
Speaker 1: ultimately what's uniting the country is success, and we're having

1247
01:10:28,720 --> 01:10:30,760
Speaker 1: more success than we've ever had. We got hit with

1248
01:10:30,800 --> 01:10:33,600
Speaker 1: a virus really three weeks ago, if you think about it,

1249
01:10:33,720 --> 01:10:36,200
Speaker 1: I guess that's when we first started really to see

1250
01:10:37,040 --> 01:10:40,360
Speaker 1: some possible effects. But even despite that, the country we

1251
01:10:40,439 --> 01:10:43,479
Speaker 1: are having. The greatest year we had last year was

1252
01:10:43,520 --> 01:10:46,160
Speaker 1: the greatest year we've ever had economically, and I think

1253
01:10:46,200 --> 01:10:49,519
Speaker 1: the way we unite is really through success. Thanks for

1254
01:10:49,640 --> 01:10:53,320
Speaker 1: listening to The Bus Sesson Show podcasts. Remember to subscribe

1255
01:10:53,360 --> 01:10:56,840
Speaker 1: on Apple podcasts, the iHeartRadio app or wherever you get

1256
01:10:56,880 --> 01:11:00,800
Speaker 1: your podcasts. And people don't like it. People don't want

1257
01:11:00,840 --> 01:11:09,000
Speaker 1: to me. He was talking about Lizabeth Warren. It's like,

1258
01:11:09,080 --> 01:11:12,439
Speaker 1: I'm not mean, she's mean. He's a mean person. Uh,

1259
01:11:13,360 --> 01:11:17,360
Speaker 1: you know, she's she went after Mike Bloomberg, that's for sure.

1260
01:11:17,920 --> 01:11:20,240
Speaker 1: I mean, that was really the only thing that she

1261
01:11:20,280 --> 01:11:23,200
Speaker 1: did in the campaign. Anybody's gonna remember she decided to

1262
01:11:23,400 --> 01:11:27,639
Speaker 1: just rhetorically knife Bloomberg on that stage in front of everybody.

1263
01:11:28,240 --> 01:11:31,080
Speaker 1: I mean she went, she went brutus on Julius Caesar.

1264
01:11:31,280 --> 01:11:34,040
Speaker 1: She was going right after him. It was rough. It

1265
01:11:34,200 --> 01:11:39,040
Speaker 1: was rough stuff, to be sure. But you know, Trump

1266
01:11:39,120 --> 01:11:40,680
Speaker 1: does like people. As I was saying to you, I

1267
01:11:41,040 --> 01:11:43,679
Speaker 1: hope that little rant about that all all held together

1268
01:11:43,760 --> 01:11:45,439
Speaker 1: and made sense because it is. It is how I

1269
01:11:45,479 --> 01:11:47,720
Speaker 1: feel about this. I think it's one of the one

1270
01:11:47,760 --> 01:11:50,559
Speaker 1: thing about him that's very underrated by his opponents. They

1271
01:11:50,680 --> 01:11:53,880
Speaker 1: keep thinking he's a billionaire, he's dated, you know, pin

1272
01:11:54,000 --> 01:11:57,160
Speaker 1: up girls, and you know, blow all this other stuff. Yeah,

1273
01:11:57,240 --> 01:12:01,040
Speaker 1: but he just also likes people, and a lot of

1274
01:12:01,240 --> 01:12:03,880
Speaker 1: a lot of smug libs out there. Look, there's also

1275
01:12:04,040 --> 01:12:06,240
Speaker 1: there are Republicans. I don't think mid Romney likes people

1276
01:12:06,320 --> 01:12:09,160
Speaker 1: very much. I think Mitt Romney likes to think he

1277
01:12:09,280 --> 01:12:15,000
Speaker 1: likes people. But Romney's a very he likes to hang

1278
01:12:15,040 --> 01:12:18,439
Speaker 1: out very rarefied circles, I think. Um speaking of which,

1279
01:12:18,960 --> 01:12:23,360
Speaker 1: as if his little vote against Trump in one of

1280
01:12:23,479 --> 01:12:27,400
Speaker 1: two areas on the impeachment wasn't annoying enough. Now he's

1281
01:12:27,560 --> 01:12:29,519
Speaker 1: he's the go to for the mainstream media trying to

1282
01:12:29,600 --> 01:12:32,120
Speaker 1: let us know that we shouldn't we shouldn't find out

1283
01:12:32,160 --> 01:12:36,799
Speaker 1: anymore about what really happened with Biden and Barisma Play sixteen.

1284
01:12:37,360 --> 01:12:39,880
Speaker 1: There's no question but that the appearance of looking into

1285
01:12:39,920 --> 01:12:44,439
Speaker 1: Barisma and Hunter Biden appears political. And I think people

1286
01:12:44,479 --> 01:12:48,120
Speaker 1: are tired of these these kind of political investigations and

1287
01:12:48,360 --> 01:12:50,880
Speaker 1: would hope that if there's something of significance it needs

1288
01:12:50,880 --> 01:12:53,080
Speaker 1: to be evaluated, that it will be done by perhaps

1289
01:12:53,120 --> 01:12:56,000
Speaker 1: the FBI or some other agency that's not as political

1290
01:12:56,080 --> 01:12:59,000
Speaker 1: as perhaps a fake committee of our of our body.

1291
01:13:01,160 --> 01:13:03,759
Speaker 1: Why can't they look into this? They just impeach the president?

1292
01:13:03,840 --> 01:13:05,320
Speaker 1: Was that was that political? Mit? Because you were a

1293
01:13:05,360 --> 01:13:08,680
Speaker 1: part of that? But this would look political. They're just

1294
01:13:08,720 --> 01:13:10,400
Speaker 1: gonna try to find out the truth, right, Isn't that

1295
01:13:10,479 --> 01:13:12,559
Speaker 1: what they're supposed to do in Congress? Isn't that why

1296
01:13:12,600 --> 01:13:16,040
Speaker 1: they have these oversight committees. Isn't that why they have

1297
01:13:16,200 --> 01:13:17,960
Speaker 1: the powers they do of subpoena and all. Then the

1298
01:13:18,040 --> 01:13:20,760
Speaker 1: Democrats just weaponized all that crap against Trump. We know

1299
01:13:21,160 --> 01:13:24,000
Speaker 1: you helped them out, gave them cover, although nobody was

1300
01:13:24,040 --> 01:13:27,599
Speaker 1: really going to remember Mitt Romney really just debased himself

1301
01:13:27,640 --> 01:13:30,479
Speaker 1: in that whole process and trying to elevate himself. He'd

1302
01:13:30,479 --> 01:13:35,000
Speaker 1: debased himself. But Trump isn't letting this one go. I mean,

1303
01:13:35,120 --> 01:13:37,040
Speaker 1: there's a very interesting stuff in this Fox News town

1304
01:13:37,040 --> 01:13:40,880
Speaker 1: hall last night with Trump. Trump's like, look, Biden's overseas

1305
01:13:41,000 --> 01:13:43,960
Speaker 1: business dealings. That's a thing that's fair game. It's going

1306
01:13:44,000 --> 01:13:45,560
Speaker 1: to get talked about. We're going to talk about it.

1307
01:13:45,640 --> 01:13:49,880
Speaker 1: Play clip one. Look at the sun. Here's a guy

1308
01:13:50,479 --> 01:13:54,280
Speaker 1: didn't have a job, was unfortunately sadly the military was

1309
01:13:54,320 --> 01:13:56,920
Speaker 1: a very sad experienced for him. He goes out, he

1310
01:13:57,000 --> 01:14:00,799
Speaker 1: gets three million dollars plus one hundred eighty three thousand

1311
01:14:00,840 --> 01:14:03,280
Speaker 1: dollars a month to be a board member of a

1312
01:14:03,400 --> 01:14:07,000
Speaker 1: company that a lot of people said was corrupt, worse

1313
01:14:07,320 --> 01:14:10,040
Speaker 1: just as bad China. I just made a great China deal.

1314
01:14:10,160 --> 01:14:13,200
Speaker 1: China's panned, has billions and billions of dollars because of

1315
01:14:13,320 --> 01:14:16,200
Speaker 1: what I did to them with tariffs, billions of dollars.

1316
01:14:16,520 --> 01:14:18,439
Speaker 1: I mean to a point where my farmers are in

1317
01:14:18,520 --> 01:14:20,240
Speaker 1: love with me because I took some of that money

1318
01:14:20,240 --> 01:14:23,040
Speaker 1: gave it to them. But his son walks out of

1319
01:14:23,160 --> 01:14:25,400
Speaker 1: China with a billion and a half dollars for a fun.

1320
01:14:25,680 --> 01:14:27,160
Speaker 1: Now a billion and a half dollars for a fun.

1321
01:14:27,200 --> 01:14:29,439
Speaker 1: I mean, he's going to make hundreds of thousands of

1322
01:14:29,560 --> 01:14:34,400
Speaker 1: dollars a year and much more than that. Everyone thinks

1323
01:14:34,479 --> 01:14:38,280
Speaker 1: that's what, that's okay, that's normal, supposed to just let

1324
01:14:38,400 --> 01:14:43,719
Speaker 1: that go and pretend that it's not. Doesn't look super corrupt,

1325
01:14:45,040 --> 01:14:49,000
Speaker 1: it doesn't look like it's a complete and utter payoff,

1326
01:14:49,080 --> 01:14:55,720
Speaker 1: a scam. Corruption. But you know, the media they've tried

1327
01:14:55,800 --> 01:14:57,800
Speaker 1: so hard to cover for Biden on this one, They're

1328
01:14:57,800 --> 01:14:59,920
Speaker 1: not going to able to do it. We're gonna find

1329
01:15:00,000 --> 01:15:03,160
Speaker 1: out more, you know. I know Rudy Giuliani has been

1330
01:15:03,200 --> 01:15:06,360
Speaker 1: over there looking into this and others. Do they have anything.

1331
01:15:06,720 --> 01:15:09,479
Speaker 1: We'll find out, and we should find out. We have

1332
01:15:09,600 --> 01:15:12,840
Speaker 1: the right to know the truth about what really went

1333
01:15:12,960 --> 01:15:15,559
Speaker 1: on there, especially after being lectured about how oh Trump

1334
01:15:15,680 --> 01:15:18,960
Speaker 1: and is doing Russia's bidding. Yeah, what was what was

1335
01:15:19,520 --> 01:15:23,040
Speaker 1: Hunter Biden doing with connections to his dad in Ukraine?

1336
01:15:23,120 --> 01:15:25,320
Speaker 1: We should find out. I want to know what those

1337
01:15:25,400 --> 01:15:28,479
Speaker 1: answers are, all right, So I did previous at the

1338
01:15:28,520 --> 01:15:30,080
Speaker 1: top of the show, and I skipped past it just

1339
01:15:30,080 --> 01:15:33,599
Speaker 1: because Bernie Sanders is not getting as much attention right

1340
01:15:33,640 --> 01:15:37,599
Speaker 1: now as Biden. Because Bernie is gonna We're gonna lose.

1341
01:15:37,760 --> 01:15:40,519
Speaker 1: And I think we all know that. Now, there's this

1342
01:15:40,680 --> 01:15:43,280
Speaker 1: term that the Soviets used to use, useful idiots. It

1343
01:15:43,479 --> 01:15:46,000
Speaker 1: was a person who didn't realize that they were being

1344
01:15:46,040 --> 01:15:48,440
Speaker 1: helpful to the Soviet Union and the cause of communism.

1345
01:15:48,520 --> 01:15:51,280
Speaker 1: But they were, and the Soviets loved it. And there

1346
01:15:51,320 --> 01:15:53,640
Speaker 1: were a lot of them in this country. There were

1347
01:15:53,640 --> 01:15:56,679
Speaker 1: a lot of them in journalism, in academia, and even

1348
01:15:56,760 --> 01:15:59,679
Speaker 1: some in government who were doing who were carrying water

1349
01:15:59,720 --> 01:16:04,120
Speaker 1: for the Soviets. And even if they weren't doing it

1350
01:16:04,360 --> 01:16:08,639
Speaker 1: in as a form of specific loyalty to the Soviet Union,

1351
01:16:08,720 --> 01:16:13,639
Speaker 1: they were useful to the Soviet Union. Here is, for example,

1352
01:16:14,720 --> 01:16:16,560
Speaker 1: Trump talking about how he was all ready to go

1353
01:16:16,760 --> 01:16:20,120
Speaker 1: with as he says, communist, but I love it. As president,

1354
01:16:20,520 --> 01:16:22,519
Speaker 1: thank Heavens, he speaks about things the way he does

1355
01:16:22,560 --> 01:16:24,280
Speaker 1: and just doesn't go through the filter of the media.

1356
01:16:24,400 --> 01:16:27,040
Speaker 1: Play clip too. Okay, I was all set for Bernie

1357
01:16:27,040 --> 01:16:29,320
Speaker 1: because I thought it was going to happen. You know,

1358
01:16:29,479 --> 01:16:32,320
Speaker 1: we get ready for things, right, So mentally I'm all

1359
01:16:32,400 --> 01:16:35,439
Speaker 1: set for Bernie Communists. I had everything down, He's act.

1360
01:16:36,800 --> 01:16:41,120
Speaker 1: I was all set, and then we have this crazy

1361
01:16:41,240 --> 01:16:44,479
Speaker 1: thing that happened right on Tuesday, which he thought was Thursday,

1362
01:16:48,600 --> 01:16:51,559
Speaker 1: but He also said one hundred and fifty million people

1363
01:16:51,600 --> 01:16:53,600
Speaker 1: were killed with guns and he was running for the

1364
01:16:53,720 --> 01:16:56,880
Speaker 1: United States Senate. Support me. I'm running for the United States.

1365
01:16:57,000 --> 01:16:59,519
Speaker 1: There's something going on there. But I was all set.

1366
01:17:00,720 --> 01:17:03,880
Speaker 1: I was all said, and you know, when I focus

1367
01:17:04,080 --> 01:17:07,000
Speaker 1: and we all focus, sometimes you do well and some

1368
01:17:07,120 --> 01:17:10,320
Speaker 1: people choke. I watched Mini Mike joke when Minnie Mike

1369
01:17:10,520 --> 01:17:14,360
Speaker 1: was hit by a very mean woman. He said, getting

1370
01:17:14,439 --> 01:17:17,000
Speaker 1: me off this stage, just getting me off, And that

1371
01:17:17,120 --> 01:17:19,400
Speaker 1: wasn't a pretty sight to be a way. But I

1372
01:17:19,640 --> 01:17:23,800
Speaker 1: was all set to take on Bernie, all set to

1373
01:17:23,840 --> 01:17:27,519
Speaker 1: take on Bernie the Communist. Can you imagine what it's

1374
01:17:27,520 --> 01:17:30,080
Speaker 1: going to be like when this guy and Joe Biden

1375
01:17:30,120 --> 01:17:33,680
Speaker 1: are going after it? I mean, do you wanted this? Democrats?

1376
01:17:33,760 --> 01:17:36,200
Speaker 1: You want it, You're gonna get it. Democrats you want it,

1377
01:17:36,600 --> 01:17:41,639
Speaker 1: You're gonna get it. This is where we are. Commie

1378
01:17:41,640 --> 01:17:44,559
Speaker 1: Bernie piece in the New York Times. Now it's safe.

1379
01:17:45,439 --> 01:17:48,400
Speaker 1: Now it's safe because the party has decided. The decision

1380
01:17:48,520 --> 01:17:53,240
Speaker 1: has been made really by the DNC insiders, by the

1381
01:17:53,439 --> 01:17:56,840
Speaker 1: Democrat Party apparatus, that it's gonna be Joe Biden. It's

1382
01:17:56,840 --> 01:17:59,200
Speaker 1: not gonna be Bernie. Standers so now they'll start printing

1383
01:17:59,240 --> 01:18:01,320
Speaker 1: stuff like this New York Times. Now now they can

1384
01:18:01,400 --> 01:18:05,320
Speaker 1: pretend to put their journal hats back on. As Bernie

1385
01:18:05,360 --> 01:18:11,920
Speaker 1: Sanders pushed for closer ties, Soviet Union spotted opportunity. Previously

1386
01:18:12,040 --> 01:18:16,160
Speaker 1: unseen documents from a Soviet archive show how mister Sanders

1387
01:18:16,800 --> 01:18:20,400
Speaker 1: worked to find a sister city in Russia when he

1388
01:18:20,520 --> 01:18:24,680
Speaker 1: was mayor of Burlington, Vermont in the nineteen eighties. Moscow

1389
01:18:25,479 --> 01:18:30,600
Speaker 1: saw a chance for propaganda. Let me just read you

1390
01:18:30,640 --> 01:18:33,439
Speaker 1: a little bit of this piece. This is great. The

1391
01:18:33,560 --> 01:18:36,479
Speaker 1: mayor of Burlington, Vermont wrote to a Soviet counterpart in

1392
01:18:36,560 --> 01:18:39,560
Speaker 1: a provincial city that he wanted the United States and

1393
01:18:39,640 --> 01:18:44,439
Speaker 1: the Soviet Union to live together as friends. Unbeknownst to him,

1394
01:18:44,840 --> 01:18:48,160
Speaker 1: his desire for friendship meshed with the efforts of Soviet

1395
01:18:48,200 --> 01:18:53,000
Speaker 1: officials in Moscow to reveal American imperialism as the main

1396
01:18:53,160 --> 01:18:58,479
Speaker 1: source of the danger of war. That mayor was Bernie Sanders,

1397
01:18:58,600 --> 01:19:00,439
Speaker 1: and the story of his nineteen eighty trip to the

1398
01:19:00,479 --> 01:19:03,439
Speaker 1: Soviet Union has been told before, but many of the

1399
01:19:03,520 --> 01:19:06,360
Speaker 1: details of mister Sanders Cold War diplomacy before and after

1400
01:19:06,479 --> 01:19:12,160
Speaker 1: that visit, and the Soviet effort to exploit mister Sanders

1401
01:19:12,320 --> 01:19:17,880
Speaker 1: anti war agenda for their own propaganda purposes have largely

1402
01:19:17,960 --> 01:19:24,439
Speaker 1: remained out of sight until now. Bernie was a useful idiot.

1403
01:19:26,040 --> 01:19:28,280
Speaker 1: That's what Bernie Sanders was for the Soviet Union in

1404
01:19:28,280 --> 01:19:31,400
Speaker 1: the nineteen eighties. They're like, we're gonna use this guy's

1405
01:19:32,240 --> 01:19:36,960
Speaker 1: clear affection for socialism and communism, clear affection for the

1406
01:19:37,160 --> 01:19:39,920
Speaker 1: Soviet Union. He came back, I've played you the audio.

1407
01:19:40,200 --> 01:19:44,240
Speaker 1: Look at great trains, look at great schools, healthcare for everybody,

1408
01:19:44,280 --> 01:19:48,040
Speaker 1: to all this stuff. Right. He liked the sol He

1409
01:19:48,160 --> 01:19:49,800
Speaker 1: went there, he saw it and he thought it was

1410
01:19:49,840 --> 01:19:53,960
Speaker 1: a good idea. This guy's the number two right now

1411
01:19:54,160 --> 01:19:57,280
Speaker 1: the Democrat primary in this country. And Democrats get so

1412
01:19:57,400 --> 01:20:01,320
Speaker 1: angry when we say they're socialism soon. Yeah, it's a

1413
01:20:01,400 --> 01:20:04,520
Speaker 1: socialist party. This is a question of how much socialism

1414
01:20:04,560 --> 01:20:06,000
Speaker 1: and how fast they want to give it to us.

1415
01:20:06,600 --> 01:20:11,840
Speaker 1: The Democrats are a socialist party. Now, there's these eighty

1416
01:20:11,920 --> 01:20:14,559
Speaker 1: nine pages of letters and telegrams and other things from

1417
01:20:15,120 --> 01:20:18,280
Speaker 1: internal Soviet government documents that look at this whole process.

1418
01:20:18,600 --> 01:20:22,719
Speaker 1: And they were exploiting this idiot mayor from Vermont, Bernie Sanders,

1419
01:20:23,680 --> 01:20:27,479
Speaker 1: for their own purposes of propaganda that America the imperialist

1420
01:20:27,520 --> 01:20:30,720
Speaker 1: war machine of America. See even this mayor knows that

1421
01:20:30,840 --> 01:20:35,720
Speaker 1: America is the bad guy. Bernie Sanders, I gotta tell you,

1422
01:20:35,880 --> 01:20:38,360
Speaker 1: I mean people that really think that this guy. Sure,

1423
01:20:38,439 --> 01:20:42,639
Speaker 1: he's authentic. He's an authentic Marxist that somehow has been

1424
01:20:44,000 --> 01:20:50,080
Speaker 1: overlooked in much of this conversation. An ideology that has

1425
01:20:50,240 --> 01:20:54,400
Speaker 1: immiserrated hundreds of millions, perhaps billions of people when you

1426
01:20:54,479 --> 01:20:59,360
Speaker 1: add it all up, an ideology that was the primary

1427
01:21:00,240 --> 01:21:05,519
Speaker 1: ideological force that sought the destruction of this country and

1428
01:21:05,600 --> 01:21:11,759
Speaker 1: the free world for what fifty years or so. Bernie

1429
01:21:11,840 --> 01:21:13,600
Speaker 1: Sanders was like, yeah, I kind of I kind of

1430
01:21:13,600 --> 01:21:15,519
Speaker 1: like the way they do things over there. We should

1431
01:21:15,560 --> 01:21:17,960
Speaker 1: do more of that. And now that we finally defeated

1432
01:21:18,000 --> 01:21:20,719
Speaker 1: that evil empire of the Soviet Union, thank you, Ronald Reagan,

1433
01:21:21,560 --> 01:21:26,759
Speaker 1: we're supposed to have Bernie import some of the failed

1434
01:21:26,880 --> 01:21:30,479
Speaker 1: ideology that he's been supporting his whole life. That was

1435
01:21:30,600 --> 01:21:33,160
Speaker 1: the primary ideology of our opponents in the Soviet Union.

1436
01:21:33,160 --> 01:21:37,040
Speaker 1: I mean, this is the system. Pretty scary stuff when

1437
01:21:37,080 --> 01:21:39,040
Speaker 1: you think about it. I mean that when I say scary,

1438
01:21:39,120 --> 01:21:41,640
Speaker 1: I mean that this is that he's an individual that

1439
01:21:42,000 --> 01:21:45,000
Speaker 1: wins California. I mean California. What is wrong with the

1440
01:21:45,080 --> 01:21:48,280
Speaker 1: Libs in California. Why are they so crazy? Why are

1441
01:21:48,280 --> 01:21:51,880
Speaker 1: they so nuts? Do they not read anything? Do they

1442
01:21:51,920 --> 01:21:54,040
Speaker 1: not understand anything? And a lot of them claim to

1443
01:21:54,080 --> 01:21:55,720
Speaker 1: be so educated and they work on the you know,

1444
01:21:55,760 --> 01:21:59,120
Speaker 1: the university system there, or they're people in media, or

1445
01:21:59,120 --> 01:22:01,679
Speaker 1: they're in Hollywood, are super rich, or they're in Silicon Valley,

1446
01:22:01,760 --> 01:22:03,400
Speaker 1: and they think that, you know, because they're good at

1447
01:22:03,479 --> 01:22:06,200
Speaker 1: being computer engineers, the rest of the world should listen

1448
01:22:06,200 --> 01:22:10,519
Speaker 1: to them about everything else. It's very poor judgment with

1449
01:22:10,680 --> 01:22:14,040
Speaker 1: someone like Bernie Sanders, very poor judgment to support an

1450
01:22:14,080 --> 01:22:16,720
Speaker 1: individual like this. And as much as I'm a little

1451
01:22:16,760 --> 01:22:19,519
Speaker 1: bit disappointed that we're not going to have the throwdown

1452
01:22:19,560 --> 01:22:21,120
Speaker 1: a Trump clearly was disappointed. I'm not going to have

1453
01:22:21,160 --> 01:22:23,120
Speaker 1: a throw down between Sanders and Trump that perhaps we

1454
01:22:23,240 --> 01:22:27,400
Speaker 1: could have, I do think that as we look at

1455
01:22:27,439 --> 01:22:31,160
Speaker 1: this now, maybe you know, maybe it's for the best

1456
01:22:31,240 --> 01:22:34,799
Speaker 1: that we didn't have the propaganda effect of a socialist

1457
01:22:34,920 --> 01:22:38,360
Speaker 1: running around as the Democrat. Although this is not going away.

1458
01:22:38,439 --> 01:22:41,040
Speaker 1: AOC is every bit the socialist that Bernie Sanders is,

1459
01:22:41,960 --> 01:22:45,000
Speaker 1: and they're going to have her run. She's going to run.

1460
01:22:45,120 --> 01:22:46,800
Speaker 1: She's going to run for Senate she's going to run

1461
01:22:46,880 --> 01:22:49,960
Speaker 1: for president. You watch, it's going to happen. So we

1462
01:22:50,080 --> 01:22:52,479
Speaker 1: haven't won this, but that's why I thought maybe better

1463
01:22:52,560 --> 01:22:55,639
Speaker 1: to have a repudiation of Bernie on the national stage,

1464
01:22:56,160 --> 01:22:59,720
Speaker 1: because there's this ideology has real So it's not just

1465
01:23:00,040 --> 01:23:03,240
Speaker 1: Ernie Sanders, he's just the figurehead for it within the

1466
01:23:03,320 --> 01:23:06,240
Speaker 1: Democratic Party. The Democratic Party has incubated this now it's

1467
01:23:06,320 --> 01:23:10,000
Speaker 1: been there for well, what really happened, and I could

1468
01:23:10,000 --> 01:23:11,840
Speaker 1: tell you take you in the history here the twentieth century,

1469
01:23:11,920 --> 01:23:14,519
Speaker 1: is that the American Socialist Party, the American Communist Party,

1470
01:23:14,920 --> 01:23:18,640
Speaker 1: merged into the Democratic Party, and it has been a

1471
01:23:18,800 --> 01:23:21,639
Speaker 1: something of a trojan horse. It's been getting bigger and stronger.

1472
01:23:21,720 --> 01:23:24,880
Speaker 1: It's been getting more powerful in Democrat circles. That's what's happened.

1473
01:23:25,080 --> 01:23:27,519
Speaker 1: That's why there is no American Socialist Party anymore. There was.

1474
01:23:28,920 --> 01:23:33,200
Speaker 1: It now just is what was initially a parasite and

1475
01:23:33,360 --> 01:23:37,160
Speaker 1: is now increasingly engorging itself on the host of the

1476
01:23:37,240 --> 01:23:40,439
Speaker 1: Democrat Party. That's what it is. That's where it went.

1477
01:23:42,960 --> 01:23:45,960
Speaker 1: You're in the Freedom Hunt. This is the Buck Sexton

1478
01:23:46,000 --> 01:23:52,360
Speaker 1: Show podcast. Got a special treat for you on this Friday,

1479
01:23:52,479 --> 01:23:55,360
Speaker 1: my friends, Eddie Scary is with us now. We actually

1480
01:23:55,400 --> 01:23:57,920
Speaker 1: started together way back in the day at the Blaze,

1481
01:23:58,120 --> 01:24:00,960
Speaker 1: and he has been lighted up over at the Washington

1482
01:24:01,080 --> 01:24:03,679
Speaker 1: Examiner as a columnist. He's also got a new book out,

1483
01:24:04,080 --> 01:24:06,880
Speaker 1: Privilege Victims, and he wants to tell us about it. Eddie.

1484
01:24:06,960 --> 01:24:09,320
Speaker 1: Great to have you, Hey, happy to be here, and

1485
01:24:09,320 --> 01:24:11,479
Speaker 1: thanks for bringing up the good old days. Yeah, man,

1486
01:24:11,560 --> 01:24:14,160
Speaker 1: and it was. You know, it's almost ten years buddy,

1487
01:24:14,160 --> 01:24:17,920
Speaker 1: you feel an old yet? Uh yeah, I'm getting there. Yeah,

1488
01:24:18,000 --> 01:24:19,439
Speaker 1: that makes two of us, all right, tell us read

1489
01:24:19,479 --> 01:24:23,439
Speaker 1: the book Privileged Victims. Who's privilege and who's the victim? Well,

1490
01:24:23,479 --> 01:24:26,200
Speaker 1: even though we have that's the dynamic that's set up

1491
01:24:26,240 --> 01:24:29,920
Speaker 1: within our culture now in every part of our culture, Hollywood,

1492
01:24:30,680 --> 01:24:34,120
Speaker 1: the national media, academia especially, this is this kind of

1493
01:24:34,160 --> 01:24:36,639
Speaker 1: where it all comes from. But then also our politics,

1494
01:24:36,680 --> 01:24:39,559
Speaker 1: particularly with regards to the Democratic Party, they say it's

1495
01:24:39,600 --> 01:24:41,880
Speaker 1: the privilege versus the victim. That's kind of the power

1496
01:24:41,960 --> 01:24:45,599
Speaker 1: dynamic that we're always looking at. But in that power dynamic,

1497
01:24:45,680 --> 01:24:48,080
Speaker 1: I've noticed that there's a new class of people born out.

1498
01:24:48,400 --> 01:24:51,080
Speaker 1: They are the privileged victims, people who claim to have

1499
01:24:51,160 --> 01:24:55,439
Speaker 1: been oppressed, aggrieved, victimized always on account of their gender,

1500
01:24:55,560 --> 01:24:58,599
Speaker 1: their race, or their sexuality, and regardless of whether it's

1501
01:24:58,640 --> 01:25:00,559
Speaker 1: true or not, oftentimes it's not or they haven't been

1502
01:25:00,560 --> 01:25:03,160
Speaker 1: oppressed or victimized. But that comes with a lot of

1503
01:25:03,240 --> 01:25:06,320
Speaker 1: special privileges. Now you can advance a lot of your

1504
01:25:06,360 --> 01:25:08,840
Speaker 1: own interests, whether that's you want more money from somebody,

1505
01:25:08,880 --> 01:25:11,320
Speaker 1: you want national at tension, you want to become famous,

1506
01:25:11,640 --> 01:25:13,800
Speaker 1: you want a job, any number of things. You can

1507
01:25:13,920 --> 01:25:16,439
Speaker 1: get these things simply, and you can get on the

1508
01:25:16,520 --> 01:25:19,200
Speaker 1: fast track to those things simply by claiming to have

1509
01:25:19,320 --> 01:25:22,000
Speaker 1: been oppressed, agreed, or victimized again on the basis of

1510
01:25:22,080 --> 01:25:24,559
Speaker 1: your race, gender, or your sexuality. And I'll just give

1511
01:25:24,600 --> 01:25:27,080
Speaker 1: you the ultimate example, but there are many many in

1512
01:25:27,200 --> 01:25:29,200
Speaker 1: my book because it's again it touches on every part

1513
01:25:29,200 --> 01:25:31,200
Speaker 1: of our culture, and so many people I've figured out

1514
01:25:31,520 --> 01:25:35,040
Speaker 1: that this is the fast track to um advancing your

1515
01:25:35,240 --> 01:25:38,519
Speaker 1: your own interests. But the ultimate example was Justice Smollett.

1516
01:25:39,400 --> 01:25:43,120
Speaker 1: Chicago police and two grand juries now have said he

1517
01:25:43,320 --> 01:25:46,640
Speaker 1: wanted more money for his Fox show Empire, and he

1518
01:25:46,760 --> 01:25:49,160
Speaker 1: wanted to get more famous. While he knew because this

1519
01:25:49,280 --> 01:25:51,639
Speaker 1: is the culture we live in now, to get those things,

1520
01:25:51,720 --> 01:25:53,280
Speaker 1: he just had to say, oh, I've been I was

1521
01:25:53,320 --> 01:25:55,920
Speaker 1: attacked for being black and I was attacked for being gay.

1522
01:25:56,200 --> 01:25:59,759
Speaker 1: I'm oppressed, I'm a victim. I'm agreeede according to police

1523
01:25:59,760 --> 01:26:01,840
Speaker 1: and learning the two grand juries. Now, he made that up,

1524
01:26:02,160 --> 01:26:03,920
Speaker 1: But why would you make it up? Because he sees

1525
01:26:03,960 --> 01:26:06,000
Speaker 1: the pattern. He sees the pattern. I thought that if

1526
01:26:06,040 --> 01:26:08,240
Speaker 1: you just claim these things, makes the claim, fake it,

1527
01:26:08,400 --> 01:26:10,599
Speaker 1: fake it to make it um. That's all it takes anymore.

1528
01:26:10,720 --> 01:26:12,840
Speaker 1: That's that's the new class of people we're looking at.

1529
01:26:12,880 --> 01:26:14,599
Speaker 1: That's why I call them the privilege victims. If you're

1530
01:26:14,760 --> 01:26:18,240
Speaker 1: claim victimhood, you get all these privileges with it. Now

1531
01:26:18,560 --> 01:26:22,400
Speaker 1: do you think that this is ever going to change?

1532
01:26:22,520 --> 01:26:24,679
Speaker 1: Because I feel like we all this is now something

1533
01:26:24,760 --> 01:26:27,120
Speaker 1: we have to accept. It's part of corporate culture. If

1534
01:26:27,160 --> 01:26:30,160
Speaker 1: you challenge any of this, you get shouted down, you

1535
01:26:30,280 --> 01:26:32,240
Speaker 1: get chased out of the public square, you could lose

1536
01:26:32,320 --> 01:26:35,479
Speaker 1: your job. It feels like it's this this issue of

1537
01:26:35,880 --> 01:26:39,599
Speaker 1: victims using their their perceived victimology to advance their careers.

1538
01:26:39,840 --> 01:26:43,519
Speaker 1: It's a more powerful tool than it's ever been. It's

1539
01:26:43,520 --> 01:26:46,479
Speaker 1: a very powerful tool. And that's why other interviews that's

1540
01:26:46,520 --> 01:26:48,920
Speaker 1: an asked, why why is it? Why is it working?

1541
01:26:49,000 --> 01:26:51,519
Speaker 1: How is this possible? Well, how did we get here. Well,

1542
01:26:51,600 --> 01:26:55,560
Speaker 1: because most normal, ordinary kind American people, which is the

1543
01:26:55,600 --> 01:26:58,120
Speaker 1: vast majority of it, no one, none of us want

1544
01:26:58,160 --> 01:26:59,640
Speaker 1: to be called racist, none of us want to be

1545
01:26:59,640 --> 01:27:03,200
Speaker 1: called exist, bigoted, homo fold, so we will oftentimes it's

1546
01:27:03,240 --> 01:27:05,920
Speaker 1: back down. The normal person does not want to not

1547
01:27:06,000 --> 01:27:07,439
Speaker 1: want to be called those things, doesn't want to have

1548
01:27:07,520 --> 01:27:10,280
Speaker 1: a confrontation over these things. And I also may very

1549
01:27:10,320 --> 01:27:13,040
Speaker 1: well feel, oh I must have missed something, maybe I

1550
01:27:13,120 --> 01:27:15,720
Speaker 1: did do something offensive. That is the power of the

1551
01:27:15,840 --> 01:27:18,479
Speaker 1: social justice movie, because that's what powers this dynamic. It

1552
01:27:18,560 --> 01:27:21,080
Speaker 1: comes from the social justice ideology. There is an entire

1553
01:27:21,160 --> 01:27:24,800
Speaker 1: chapter in my book that goes into the entire chapter

1554
01:27:24,840 --> 01:27:28,599
Speaker 1: of my book Privileged Victims, that goes into social justice ideology.

1555
01:27:28,680 --> 01:27:30,680
Speaker 1: Where that comes from. It's basically the left, every one

1556
01:27:30,720 --> 01:27:38,080
Speaker 1: of the left bad ideas dating back to probably the fifties, communism, Marxism, feminism, socialism,

1557
01:27:38,320 --> 01:27:41,800
Speaker 1: Cleano theory, all of these things. And how does it change. Well,

1558
01:27:41,840 --> 01:27:44,840
Speaker 1: we have seemed fine, that there is some fight in people.

1559
01:27:44,880 --> 01:27:47,200
Speaker 1: I point to the election of Donald Trump. I think

1560
01:27:47,640 --> 01:27:50,519
Speaker 1: fifty percent of the reason why people chose him was

1561
01:27:50,600 --> 01:27:52,360
Speaker 1: because he said, look, I don't care if you call

1562
01:27:52,439 --> 01:27:54,679
Speaker 1: me sexists. I don't care if you call me racists.

1563
01:27:54,880 --> 01:27:56,519
Speaker 1: This is how I see it, and I believe this

1564
01:27:56,640 --> 01:27:59,320
Speaker 1: thing to be sure, whether he was talking about anchor babies, immigration,

1565
01:28:00,160 --> 01:28:03,600
Speaker 1: any number of things. And then also the confirmation of

1566
01:28:03,760 --> 01:28:06,479
Speaker 1: Brett Cavanaugh. The me too movement movement has been entirely

1567
01:28:06,520 --> 01:28:10,680
Speaker 1: effect effected by the social justice ideology, seized by the

1568
01:28:10,760 --> 01:28:13,040
Speaker 1: social justice mob. That's where why we're seeing so many

1569
01:28:13,160 --> 01:28:16,080
Speaker 1: ridiculous claims and trying to roll it into oh that's

1570
01:28:16,120 --> 01:28:18,479
Speaker 1: another me too, well, there's another me too. Well. You know,

1571
01:28:19,439 --> 01:28:22,320
Speaker 1: Donald Trump stood behind Brett Cavanaugh. Brett Cavanaugh fought it.

1572
01:28:22,439 --> 01:28:27,200
Speaker 1: You had the the Republicans on the Senate Judicial Judiciary Committee.

1573
01:28:27,240 --> 01:28:28,960
Speaker 1: And by the way, that was that was another thing.

1574
01:28:29,040 --> 01:28:32,160
Speaker 1: If you remember, leading up into before we even got

1575
01:28:32,240 --> 01:28:37,120
Speaker 1: to the to the hearings, the media's main um disqualification

1576
01:28:37,200 --> 01:28:38,479
Speaker 1: of the whole thing, to say the whole thing is

1577
01:28:38,560 --> 01:28:41,000
Speaker 1: a sam is oh this is run by old white men.

1578
01:28:41,360 --> 01:28:44,160
Speaker 1: That was just an automatic doc against them you couldn't trust,

1579
01:28:44,840 --> 01:28:47,839
Speaker 1: unlike unlike Joe Biden, Bernie Sanders, who are youthful and vigorous.

1580
01:28:47,880 --> 01:28:50,160
Speaker 1: Any we have to unfortunately, we have to leave it

1581
01:28:50,200 --> 01:28:52,400
Speaker 1: there for now, but everyone should hear obviously you got

1582
01:28:52,439 --> 01:28:54,760
Speaker 1: a lot to say. They should, they should hear more

1583
01:28:54,760 --> 01:28:58,000
Speaker 1: about this. Read more about this with Privileged Victims on Amazon,

1584
01:28:58,400 --> 01:29:01,360
Speaker 1: available wherever you get books any Gary of the Washington Examiner,

1585
01:29:01,400 --> 01:29:04,720
Speaker 1: thanks for joining us, Eddie, thanks, thanks for listening to

1586
01:29:04,800 --> 01:29:09,080
Speaker 1: The bus Essen Show podcasts. Remember to subscribe on Apple Podcasts,

1587
01:29:09,280 --> 01:29:18,519
Speaker 1: the iHeartRadio app, or wherever you get your podcasts. Team bugging,

1588
01:29:19,000 --> 01:29:30,960
Speaker 1: It's time for roll call, some jazzy roll call to

1589
01:29:31,080 --> 01:29:35,160
Speaker 1: set you off on your weekend. Hope everything is going

1590
01:29:35,240 --> 01:29:37,160
Speaker 1: to be fantastic for your team. We've got some of

1591
01:29:37,240 --> 01:29:39,960
Speaker 1: your wonderful comments to get to today. We got the

1592
01:29:40,000 --> 01:29:43,080
Speaker 1: Penalty Box ready to rock with producer Mark. He'll be

1593
01:29:43,479 --> 01:29:46,879
Speaker 1: chiming in as he tends to do with his wisdom.

1594
01:29:47,720 --> 01:29:53,200
Speaker 1: And yeah, I'm just I'm another week man. Another week's

1595
01:29:53,439 --> 01:29:55,280
Speaker 1: quite a time. It's gonna be quite a year that much.

1596
01:29:55,320 --> 01:29:58,680
Speaker 1: I am very confident about all right. Facebook dot com,

1597
01:29:58,760 --> 01:30:00,200
Speaker 1: slash buck Sex and if you want to me a

1598
01:30:00,200 --> 01:30:04,519
Speaker 1: message on Facebook, also team Buck at iHeartMedia dot com

1599
01:30:04,840 --> 01:30:09,880
Speaker 1: if you want to send me an email. Sorry, don't

1600
01:30:09,880 --> 01:30:12,360
Speaker 1: know why I'm starting to I'm starting to pull Joe

1601
01:30:12,360 --> 01:30:15,840
Speaker 1: Biden over here. Producer Mark my legs. I got some

1602
01:30:16,080 --> 01:30:19,479
Speaker 1: sun at California that turn a little blonde. I'm gonna

1603
01:30:19,520 --> 01:30:22,240
Speaker 1: have people look at my leg hair. You're a line

1604
01:30:22,280 --> 01:30:24,760
Speaker 1: dog face pony soldier. He's got me on that one,

1605
01:30:25,439 --> 01:30:27,639
Speaker 1: all right, Adam, first up here book for the climate

1606
01:30:27,760 --> 01:30:32,160
Speaker 1: change nickname. I think climate cultist rolls off the tongue

1607
01:30:32,160 --> 01:30:35,240
Speaker 1: and it's about as short as I think you can get. Um.

1608
01:30:36,200 --> 01:30:38,960
Speaker 1: Climate cultist is actually a little tough to say, I think, Adam.

1609
01:30:39,040 --> 01:30:42,760
Speaker 1: But I appreciate your point, and I think that you're

1610
01:30:43,320 --> 01:30:47,120
Speaker 1: as as content or as as something that is trying

1611
01:30:47,160 --> 01:30:49,920
Speaker 1: to describe the situation. I think that that certainly works.

1612
01:30:50,760 --> 01:30:54,400
Speaker 1: So yeah, there we go. We can we can do that.

1613
01:30:54,760 --> 01:30:58,759
Speaker 1: We can check that one out. I appreciate that, Elvin,

1614
01:30:59,479 --> 01:31:02,439
Speaker 1: cool name. I started listening to you since the Glenn

1615
01:31:02,520 --> 01:31:05,760
Speaker 1: Beck days, but I lost track of your whereabouts for

1616
01:31:05,880 --> 01:31:08,000
Speaker 1: some time. Whoever, thanks to the magic of the podcast,

1617
01:31:08,120 --> 01:31:11,120
Speaker 1: I am back on the team. I enjoy your serious

1618
01:31:11,200 --> 01:31:13,800
Speaker 1: take with the funny twist to the daily events. My

1619
01:31:13,960 --> 01:31:16,599
Speaker 1: teenage son and daughter are also warming up to your show.

1620
01:31:17,160 --> 01:31:19,200
Speaker 1: Oh well, glad to have you back on the team, Melvin.

1621
01:31:19,360 --> 01:31:21,760
Speaker 1: And please, if you know anybody else that knows me

1622
01:31:21,840 --> 01:31:24,719
Speaker 1: from the old days when when I was found lost

1623
01:31:24,840 --> 01:31:27,760
Speaker 1: puppy in a back alley, about to go get a

1624
01:31:27,840 --> 01:31:32,720
Speaker 1: graduate degree. Good heavens, oh, good heavens. Instead I went

1625
01:31:32,760 --> 01:31:36,600
Speaker 1: to work in media. But yes, please do spread the

1626
01:31:36,640 --> 01:31:38,439
Speaker 1: word past the buck. Tell people that they can find

1627
01:31:38,479 --> 01:31:41,040
Speaker 1: me on podcasts. Our podcast numbers are growing. I am

1628
01:31:41,120 --> 01:31:43,680
Speaker 1: so thankful about this. I really mean this to all

1629
01:31:43,720 --> 01:31:46,160
Speaker 1: of you that gets one to listen. We see every

1630
01:31:46,240 --> 01:31:48,200
Speaker 1: single time you get an initial proper we can see

1631
01:31:48,240 --> 01:31:51,080
Speaker 1: every every download. So when you get your friend to listen,

1632
01:31:51,360 --> 01:31:53,800
Speaker 1: that is showing up. It's like a vote for the show.

1633
01:31:53,960 --> 01:31:56,040
Speaker 1: And we tally up all the votes every month, and

1634
01:31:56,120 --> 01:31:58,000
Speaker 1: it's what keeps the lights on up. You Ramer, Proucer Mark,

1635
01:31:58,160 --> 01:31:59,920
Speaker 1: This guy just got married. He's moving to a house

1636
01:32:00,000 --> 01:32:02,519
Speaker 1: in Jersey. Bruster Mark needs a new pair of shoes,

1637
01:32:02,800 --> 01:32:05,920
Speaker 1: probably a new lawnmower. Probably you know, a nice a

1638
01:32:06,040 --> 01:32:08,760
Speaker 1: nice handbag for for missus. Mark known as Ariel. I

1639
01:32:08,840 --> 01:32:12,560
Speaker 1: didn't realize that apartments need lawnmowers. Now you moved in

1640
01:32:12,560 --> 01:32:14,360
Speaker 1: an apartment. Yeah, but you're moving to a house. No

1641
01:32:15,760 --> 01:32:17,479
Speaker 1: money got optated. Now it seems like I don't even

1642
01:32:17,520 --> 01:32:18,840
Speaker 1: know what I'm gonna but I'm talking about over you

1643
01:32:18,880 --> 01:32:21,120
Speaker 1: think I have that kind of money. I don't know

1644
01:32:21,160 --> 01:32:24,200
Speaker 1: what houses cost a lot of money. Yeah, yeah, so

1645
01:32:24,360 --> 01:32:27,920
Speaker 1: you're you're moving alike like urban n J. Kind of.

1646
01:32:28,240 --> 01:32:32,280
Speaker 1: There's an apartment right Mexas Toicogo's Junction. Okay, it's gonna

1647
01:32:32,280 --> 01:32:34,120
Speaker 1: be close though, which is great because now I was

1648
01:32:34,160 --> 01:32:35,439
Speaker 1: gonna have to get him a little caught for the

1649
01:32:35,439 --> 01:32:37,639
Speaker 1: freedom hup and out prucer Mark and basically live here.

1650
01:32:38,240 --> 01:32:42,080
Speaker 1: See he'll see missus Mark on the weekends. Ariel, she'll do.

1651
01:32:42,200 --> 01:32:44,080
Speaker 1: She said she's a good cook, right, what's what's the

1652
01:32:44,120 --> 01:32:46,600
Speaker 1: go to cook? She doesn't really have a go to

1653
01:32:46,880 --> 01:32:50,599
Speaker 1: just anything. She does pretty good. Yeah that's nice. Um, well,

1654
01:32:50,880 --> 01:32:52,559
Speaker 1: I'm excited for you to have your new place. Well,

1655
01:32:52,600 --> 01:32:54,360
Speaker 1: thank you that your commute will be shorter than mine.

1656
01:32:55,360 --> 01:32:58,559
Speaker 1: Oh well, about that you will spend less time daily commuting.

1657
01:32:58,680 --> 01:33:01,080
Speaker 1: Well yeah, see that's for a different that's our different reason. Yeah,

1658
01:33:01,240 --> 01:33:04,840
Speaker 1: gotta through radio shows every day. All right, Alvin, thank

1659
01:33:04,880 --> 01:33:08,840
Speaker 1: you so much, Isaac hey Buck. We all love Producer Mark.

1660
01:33:08,880 --> 01:33:12,040
Speaker 1: Both of you do a great job. I really enjoy audiobooks,

1661
01:33:12,080 --> 01:33:14,519
Speaker 1: and I'll grab your book regardless of what form it's in. However,

1662
01:33:14,560 --> 01:33:16,080
Speaker 1: I'm curious to know if you're going to release it

1663
01:33:16,120 --> 01:33:18,519
Speaker 1: as an audiobook. If so, are you going to read

1664
01:33:18,560 --> 01:33:21,400
Speaker 1: it yourself. I've always been slightly disappointed when I hear

1665
01:33:21,400 --> 01:33:23,599
Speaker 1: an audiobook written by someone who speaks for a living,

1666
01:33:23,640 --> 01:33:28,200
Speaker 1: only to find a surrogate narrator Isaac. It's it's gonna

1667
01:33:28,200 --> 01:33:30,519
Speaker 1: be released by my friends at Stansbury Research. It's a

1668
01:33:30,800 --> 01:33:33,320
Speaker 1: joint project with them. So I wrote this book, but

1669
01:33:33,400 --> 01:33:36,280
Speaker 1: they're gonna be putting it out. There'll be a website

1670
01:33:36,360 --> 01:33:40,639
Speaker 1: for it, and I'm not exactly sure when we're gonna

1671
01:33:40,680 --> 01:33:42,280
Speaker 1: have that up, but it'll be. It's a matter of

1672
01:33:42,360 --> 01:33:46,200
Speaker 1: a few months now, so it's coming. David hey buck

1673
01:33:46,280 --> 01:33:48,080
Speaker 1: Love listen to the show. I'm not a doctor or

1674
01:33:48,120 --> 01:33:50,639
Speaker 1: health professional of any kind, but I feel the common

1675
01:33:50,720 --> 01:33:53,400
Speaker 1: cold is there to keep our immune system in check.

1676
01:33:54,080 --> 01:33:57,280
Speaker 1: Beside getting a serious illness, the cold helps our immune

1677
01:33:57,320 --> 01:33:59,800
Speaker 1: systems stay healthy. You can stay healthy all the time,

1678
01:34:00,000 --> 01:34:04,600
Speaker 1: shield Side, Thanks for doing what you do. Thank you

1679
01:34:04,720 --> 01:34:09,080
Speaker 1: David for writing in. I don't know if that's from

1680
01:34:09,120 --> 01:34:12,280
Speaker 1: a medical standpoint, really a factual thing that seems to me,

1681
01:34:12,479 --> 01:34:14,719
Speaker 1: I think we could be fine without because your body

1682
01:34:14,840 --> 01:34:17,600
Speaker 1: is fighting off there there's a constant war. We're in

1683
01:34:17,680 --> 01:34:21,559
Speaker 1: war mode, war mode, you're you're there's a constant war

1684
01:34:21,720 --> 01:34:26,559
Speaker 1: going on of the various microbes. Five pounds of microbes

1685
01:34:26,640 --> 01:34:28,240
Speaker 1: is what you actually have in and on your body

1686
01:34:28,240 --> 01:34:31,919
Speaker 1: at any point in time. That's the estimate, and they're always.

1687
01:34:32,120 --> 01:34:35,639
Speaker 1: You know, you have right now bacteria on your skin

1688
01:34:35,720 --> 01:34:37,280
Speaker 1: that would be scary to hear about. You know you

1689
01:34:37,360 --> 01:34:40,880
Speaker 1: have staff bacteria, most likely staff lococcus on your skin.

1690
01:34:41,000 --> 01:34:43,200
Speaker 1: You have other kinds of bacteria that you know are

1691
01:34:43,280 --> 01:34:46,800
Speaker 1: in and around your body, but they're not at pathogenic levels,

1692
01:34:46,960 --> 01:34:49,679
Speaker 1: or they're not at levels that would make you sick.

1693
01:34:50,640 --> 01:34:53,439
Speaker 1: So I don't know if you need to get a

1694
01:34:53,520 --> 01:34:55,519
Speaker 1: cold for your immune system, but you do need to

1695
01:34:55,520 --> 01:34:58,040
Speaker 1: be exposed to germs to keep your moods, and which

1696
01:34:58,080 --> 01:35:00,760
Speaker 1: just means like live your life, live your life, eat

1697
01:35:01,000 --> 01:35:04,719
Speaker 1: healthy food, limit your vices, limit your drinking you're smoking,

1698
01:35:04,880 --> 01:35:11,240
Speaker 1: your super sugary foods, and get enough sleep. Sleep is

1699
01:35:11,840 --> 01:35:14,080
Speaker 1: essential for immune I can't tell you how many times

1700
01:35:14,320 --> 01:35:16,040
Speaker 1: I miss a night or two of sleep, usually because

1701
01:35:16,040 --> 01:35:19,240
Speaker 1: I'm out partying and you know, producer Mark has to

1702
01:35:19,280 --> 01:35:22,160
Speaker 1: pick up the pieces in here, and I'll get sick afterwards.

1703
01:35:22,400 --> 01:35:26,759
Speaker 1: Because your immune system. If you overtax your immune system

1704
01:35:26,760 --> 01:35:29,439
Speaker 1: when you this Israel, this is this is hashtag science

1705
01:35:30,080 --> 01:35:33,680
Speaker 1: or actually just science. You need enough sleep for your

1706
01:35:33,720 --> 01:35:36,720
Speaker 1: immune system to be functioning. So do not think that

1707
01:35:36,800 --> 01:35:38,960
Speaker 1: getting like four or five hours for a few nights

1708
01:35:39,000 --> 01:35:42,080
Speaker 1: in a row is something that you can get away

1709
01:35:42,160 --> 01:35:45,680
Speaker 1: with it. You're gonna get sick. David. Oh no, we

1710
01:35:45,720 --> 01:35:50,840
Speaker 1: already to David. Sorry, Jake Bukapalooza, Hey man, what's up, cheek?

1711
01:35:52,000 --> 01:35:54,880
Speaker 1: I think Tulsi situation is a perfect microcosm for the

1712
01:35:54,960 --> 01:35:58,000
Speaker 1: Democratic Party for all intents and purposes, she should be

1713
01:35:58,080 --> 01:36:02,000
Speaker 1: their poster child. She's double, intersectional, is articulate, has far

1714
01:36:02,120 --> 01:36:04,519
Speaker 1: left leaning views, would be the first female president, has

1715
01:36:04,560 --> 01:36:07,479
Speaker 1: a record of sorts in government, and is an example

1716
01:36:07,560 --> 01:36:11,400
Speaker 1: of legit girl power as a major in the Hawaiian

1717
01:36:12,400 --> 01:36:16,080
Speaker 1: National Guard. And she presents well if you catch my meaning,

1718
01:36:16,600 --> 01:36:19,439
Speaker 1: we catch your meaning, Jake. So what if they preach

1719
01:36:19,520 --> 01:36:22,519
Speaker 1: what was actually believed? They would embrace her. So why

1720
01:36:22,640 --> 01:36:25,519
Speaker 1: no traction? Why no love? The reason is the big

1721
01:36:25,720 --> 01:36:29,400
Speaker 1: media hasn't given her the spotlight. The establishment picks the

1722
01:36:29,439 --> 01:36:32,439
Speaker 1: winners and spoon feeds the media. The media is the

1723
01:36:32,680 --> 01:36:35,160
Speaker 1: X factor for all libs that have a voice. Hillary

1724
01:36:35,240 --> 01:36:37,880
Speaker 1: Clinton doesn't like Tulsei, so Tulsi gets the cold shoulder.

1725
01:36:37,960 --> 01:36:41,800
Speaker 1: Talk about election meddling, Jake, I think your analysis about

1726
01:36:41,880 --> 01:36:47,240
Speaker 1: the media's treatment of Tulsi Gabbard is true. They don't

1727
01:36:47,280 --> 01:36:50,160
Speaker 1: like her, but the reason they don't like her is

1728
01:36:50,320 --> 01:36:54,519
Speaker 1: that she is out of step with them on the

1729
01:36:54,600 --> 01:36:58,960
Speaker 1: Democrat establishment on foreign policy. That's why you hear all

1730
01:36:59,000 --> 01:37:00,640
Speaker 1: this stuff about it. Oh, she's like a puppet of

1731
01:37:00,640 --> 01:37:02,280
Speaker 1: a saw. That was the big hitter. You haven't heard

1732
01:37:02,280 --> 01:37:03,200
Speaker 1: that in a while. By the way, that was the

1733
01:37:03,240 --> 01:37:05,880
Speaker 1: big hit on her for a long time. And she

1734
01:37:06,479 --> 01:37:10,720
Speaker 1: is She loves the military, and I think that she

1735
01:37:12,360 --> 01:37:15,480
Speaker 1: wants to be respectful to Republicans and to Trump supporters.

1736
01:37:16,040 --> 01:37:19,439
Speaker 1: That doesn't fly. He can't be respectful to Trump supporters

1737
01:37:19,479 --> 01:37:21,000
Speaker 1: if you're a Democrat these days, if you want to

1738
01:37:21,000 --> 01:37:23,120
Speaker 1: if you want power in the Democratic Party, you have

1739
01:37:23,200 --> 01:37:25,720
Speaker 1: to sneer at Trump supporters. You have to think Trump

1740
01:37:25,760 --> 01:37:31,479
Speaker 1: supporters are are, you know, odious people deserving of no respect?

1741
01:37:32,200 --> 01:37:35,439
Speaker 1: So yeah, I think that's where it is with Tulsa Abert.

1742
01:37:35,479 --> 01:37:37,920
Speaker 1: And look, she's very far left. I don't agree with

1743
01:37:37,960 --> 01:37:40,200
Speaker 1: her a lot of things, but she doesn't strike me

1744
01:37:40,439 --> 01:37:45,519
Speaker 1: as a shameless, pandering, hateful politician. And that's what does

1745
01:37:45,600 --> 01:37:47,840
Speaker 1: really well in the Democrat Party today. That's what you

1746
01:37:47,920 --> 01:37:51,040
Speaker 1: really need to be. I don't know if I guess

1747
01:37:51,080 --> 01:37:52,680
Speaker 1: this is I don't know if this is Robbie or

1748
01:37:52,680 --> 01:37:56,360
Speaker 1: a Robi and the way it's spelled. When I hear

1749
01:37:56,479 --> 01:37:58,840
Speaker 1: clips these celebrate oh whoa sorry, hold on, let me

1750
01:37:59,000 --> 01:38:03,200
Speaker 1: let me redo this one. When I hear these celebratory

1751
01:38:03,600 --> 01:38:07,360
Speaker 1: baby butchers, I'm reminded of a scene from the movie Legion.

1752
01:38:07,920 --> 01:38:13,880
Speaker 1: An old woman is okay, Robbie, I'm gonna skip this one.

1753
01:38:14,520 --> 01:38:17,000
Speaker 1: It's pretty intense. Thank you, though, for writing in Laurie.

1754
01:38:18,439 --> 01:38:21,840
Speaker 1: Have you considered a side career in political comedy? Is

1755
01:38:21,880 --> 01:38:25,439
Speaker 1: there such a thing? Because I think you would be fantastic. Seriously,

1756
01:38:25,479 --> 01:38:26,720
Speaker 1: you can make a script and do a show with

1757
01:38:26,800 --> 01:38:29,080
Speaker 1: all your voices. I can hardly stop laughing when you

1758
01:38:29,160 --> 01:38:32,240
Speaker 1: imitate these different political figures. I just love your impersonations.

1759
01:38:32,920 --> 01:38:34,880
Speaker 1: Shoot during the election season, it would be a perfect

1760
01:38:34,920 --> 01:38:38,240
Speaker 1: time for a debut. Keep your fabulous impersonations coming. Thank you, Laurie.

1761
01:38:38,920 --> 01:38:41,200
Speaker 1: I'm gonna remember Laurie. Sometimes, like people wrote in Look,

1762
01:38:41,240 --> 01:38:43,360
Speaker 1: I just like when you're doing the serious analysis, save

1763
01:38:43,439 --> 01:38:45,840
Speaker 1: the country, leave the comedy to other people. I get that.

1764
01:38:45,920 --> 01:38:48,960
Speaker 1: Sometimes I was like, oh, excuse me, I like I

1765
01:38:49,040 --> 01:38:52,559
Speaker 1: like Laurie's approach more Laurie. I don't know, I really

1766
01:38:52,640 --> 01:38:54,840
Speaker 1: I've talked so much about bringing back an old character

1767
01:38:54,920 --> 01:38:56,920
Speaker 1: from the Blaze days called Commy Bear. I've I've really

1768
01:38:56,960 --> 01:39:00,280
Speaker 1: thought about it, and you know, now that we have

1769
01:39:00,400 --> 01:39:03,519
Speaker 1: the Pluto TV, it'd be more fun to do. Maybe

1770
01:39:03,560 --> 01:39:05,439
Speaker 1: we could just do like a graphic with comedy Bear

1771
01:39:05,479 --> 01:39:07,400
Speaker 1: behind me or something and have his little mouth move.

1772
01:39:07,439 --> 01:39:10,160
Speaker 1: I don't know, but I do like doing the comedy.

1773
01:39:10,200 --> 01:39:11,800
Speaker 1: I think we need to mix it up, especially those

1774
01:39:11,840 --> 01:39:14,240
Speaker 1: of you who do me the great honor of spending

1775
01:39:14,360 --> 01:39:17,880
Speaker 1: all three hours of radio with me every day or

1776
01:39:17,960 --> 01:39:20,479
Speaker 1: money through Friday. You know, I want you to I

1777
01:39:20,600 --> 01:39:22,320
Speaker 1: want her to move quickly. I want you to have

1778
01:39:22,800 --> 01:39:26,880
Speaker 1: you know. I want them to be intense, learning and

1779
01:39:27,800 --> 01:39:30,280
Speaker 1: fighting for what we believe in terms of principles. But

1780
01:39:30,320 --> 01:39:32,080
Speaker 1: I also want there to be fun stuff too. I

1781
01:39:32,160 --> 01:39:33,960
Speaker 1: want people to enjoy their time they spend with me.

1782
01:39:34,000 --> 01:39:36,960
Speaker 1: It really matters to me. So I like the political

1783
01:39:37,000 --> 01:39:39,439
Speaker 1: comedy aspect of it. And that's why you know, I

1784
01:39:39,720 --> 01:39:42,120
Speaker 1: never I never get sore never get my nose out

1785
01:39:42,160 --> 01:39:45,320
Speaker 1: of joint. When Producer Mark is getting salty over there,

1786
01:39:45,680 --> 01:39:48,479
Speaker 1: you know, when he's being crowd show Mark, and I'm like,

1787
01:39:48,560 --> 01:39:51,280
Speaker 1: it's okay, He's allowed to be a little salty sometimes.

1788
01:39:51,479 --> 01:39:53,280
Speaker 1: He's also keeping the trains on track here and the

1789
01:39:53,320 --> 01:39:57,120
Speaker 1: Freedom Hunt Darby. Hey, I remember Darby. I han't heard

1790
01:39:57,120 --> 01:39:59,320
Speaker 1: from a wild Shields. I your brother from Dallas here.

1791
01:40:00,000 --> 01:40:02,040
Speaker 1: I haven't heard anyone point out that the abortion industry

1792
01:40:02,040 --> 01:40:07,040
Speaker 1: in America is basically a huge money laundering scheme. Congressmen

1793
01:40:07,080 --> 01:40:09,880
Speaker 1: and women voting give Planned Parenthood millions planned parent who

1794
01:40:09,920 --> 01:40:12,360
Speaker 1: then makes huge donations to politicians. It's a self looking

1795
01:40:12,360 --> 01:40:15,680
Speaker 1: ice cream cone. Keep up the five, brother, Yeah, no,

1796
01:40:15,800 --> 01:40:19,479
Speaker 1: I've talked to I mean, the abortion lobbies probably among

1797
01:40:19,560 --> 01:40:22,080
Speaker 1: the very most powerful lobbies in the United States. They

1798
01:40:22,080 --> 01:40:24,360
Speaker 1: always talking about the NRA. NRA has got nothing on

1799
01:40:24,400 --> 01:40:27,519
Speaker 1: the abortion lobby. And I unlike the NRA, the abortion

1800
01:40:27,600 --> 01:40:32,920
Speaker 1: lobby actually kills people every day. You're in the Freedom Hud.

1801
01:40:33,360 --> 01:40:39,519
Speaker 1: This is the Buck Sexton Show podcast. All right, our

1802
01:40:39,560 --> 01:40:41,439
Speaker 1: role call is continuing her wait, but before we get

1803
01:40:41,439 --> 01:40:43,040
Speaker 1: to roll call, Producer Mark, did you see this this

1804
01:40:43,200 --> 01:40:46,880
Speaker 1: pole they did of people that were asked what video

1805
01:40:46,960 --> 01:40:48,960
Speaker 1: game they would like to see made into a movie,

1806
01:40:49,360 --> 01:40:54,360
Speaker 1: and the winner was pac Man. What is wrong with people? Like?

1807
01:40:54,520 --> 01:40:58,640
Speaker 1: There are so many great options out there? Man, I

1808
01:40:58,720 --> 01:41:02,120
Speaker 1: mean Hackman. I don't know how you make it a movie.

1809
01:41:03,000 --> 01:41:04,519
Speaker 1: Did they already make it a movie or is there

1810
01:41:04,560 --> 01:41:07,880
Speaker 1: already like there was a cartoon or something? Yeah, do

1811
01:41:07,960 --> 01:41:09,559
Speaker 1: you have one if you if you had to make

1812
01:41:09,640 --> 01:41:12,599
Speaker 1: a yeah, you had to make a video game into

1813
01:41:12,680 --> 01:41:15,360
Speaker 1: a movie, is there one that you would? I mean

1814
01:41:15,439 --> 01:41:18,439
Speaker 1: Grand Theft Auto comes to mind, but that would be

1815
01:41:18,520 --> 01:41:23,160
Speaker 1: just that would be insanely gross. Probably for some people.

1816
01:41:23,720 --> 01:41:25,240
Speaker 1: I'd enjoy it. They had they couldn't do, like the

1817
01:41:25,320 --> 01:41:27,559
Speaker 1: really gross stuff. Yes, I remember I played that game

1818
01:41:27,600 --> 01:41:29,000
Speaker 1: for a little bit. I never got that good at

1819
01:41:29,000 --> 01:41:30,800
Speaker 1: it though, I never there were some games that I

1820
01:41:30,880 --> 01:41:34,400
Speaker 1: really leaned into and became like like Ninja Level and

1821
01:41:34,760 --> 01:41:36,880
Speaker 1: that was not actually good at them. The game Teken,

1822
01:41:37,360 --> 01:41:40,320
Speaker 1: which was an old ninja video game, would be a

1823
01:41:40,400 --> 01:41:43,960
Speaker 1: cool movie because it's like ninja stuff but also works

1824
01:41:44,000 --> 01:41:48,959
Speaker 1: in like Japanese. Um, how do I like the mystical

1825
01:41:49,280 --> 01:41:51,719
Speaker 1: and you know, like like demons and monsters and stuff

1826
01:41:51,800 --> 01:41:55,040
Speaker 1: kind of too or or Ninja Guide in I don't

1827
01:41:55,040 --> 01:41:56,920
Speaker 1: know if you ever remember that the video game. Obviously,

1828
01:41:56,960 --> 01:41:58,920
Speaker 1: I'm really into the Ninja thing right now, but I

1829
01:41:59,080 --> 01:42:01,759
Speaker 1: I grow I watched so many Ninja but I love ninjas.

1830
01:42:01,880 --> 01:42:07,439
Speaker 1: I watched I just what Hey, I just watched a

1831
01:42:07,560 --> 01:42:10,519
Speaker 1: little bit of the Tom Cruise movie because it's on

1832
01:42:10,560 --> 01:42:13,040
Speaker 1: Netflix now. The Last Samurai. The only part of that

1833
01:42:13,120 --> 01:42:14,360
Speaker 1: movie that I really want to watch. I just skip

1834
01:42:14,439 --> 01:42:15,920
Speaker 1: to the middle where they had the Ninja seat. That's

1835
01:42:15,920 --> 01:42:17,599
Speaker 1: the best scene in the whole movie by far. How

1836
01:42:17,640 --> 01:42:19,200
Speaker 1: do you just watch the middle of a movie? You

1837
01:42:19,320 --> 01:42:21,320
Speaker 1: just get Netflix? I've seen. I know how you do

1838
01:42:21,439 --> 01:42:23,400
Speaker 1: it physically, but why why would you do that just

1839
01:42:23,439 --> 01:42:25,720
Speaker 1: because that seems really cool and you can skip right

1840
01:42:25,720 --> 01:42:27,320
Speaker 1: to it. I'm sure it's on YouTube if you really

1841
01:42:27,400 --> 01:42:28,960
Speaker 1: just want to. I've done that scene. Yeah, yeah, it's

1842
01:42:29,120 --> 01:42:31,719
Speaker 1: that's a good scene though. Okay, I'm just saying whatever.

1843
01:42:32,120 --> 01:42:34,600
Speaker 1: They made some movie years ago, like Ninja something or

1844
01:42:34,680 --> 01:42:38,840
Speaker 1: other and it was unwatchable, trash. I can't remember. It

1845
01:42:38,880 --> 01:42:41,280
Speaker 1: was supposed to be about ninjas in like the contemporary context.

1846
01:42:41,320 --> 01:42:43,479
Speaker 1: I was very disappointed in it. I need to make

1847
01:42:43,520 --> 01:42:46,240
Speaker 1: the Ninja movies. What needs to happen. Sure, we'll get

1848
01:42:46,320 --> 01:42:51,160
Speaker 1: right on that. Yeah, paul Itt, Hey buck faithful rather

1849
01:42:51,200 --> 01:42:54,599
Speaker 1: addicted listener who used to believe of what you say.

1850
01:42:54,720 --> 01:42:57,720
Speaker 1: Until this week, I wasn't convinced that people connect your

1851
01:42:57,760 --> 01:43:00,120
Speaker 1: name with the adult film industry. This week I was

1852
01:43:00,160 --> 01:43:02,040
Speaker 1: talking about your show to a male employee who suddenly

1853
01:43:02,080 --> 01:43:03,920
Speaker 1: looks up and ask if I said Buck Sexton. I

1854
01:43:04,000 --> 01:43:06,880
Speaker 1: affirmed that indeed I had. He then asked me a question,

1855
01:43:07,040 --> 01:43:09,640
Speaker 1: Is that like a porn star? I immediately said, yes,

1856
01:43:09,800 --> 01:43:12,760
Speaker 1: yes it is. I enjoy spending my five day a week,

1857
01:43:12,840 --> 01:43:15,479
Speaker 1: two hour commute listening to a porn star. I'm gonna

1858
01:43:15,560 --> 01:43:17,240
Speaker 1: let him think that for another week, because I'd rather

1859
01:43:17,360 --> 01:43:19,040
Speaker 1: enjoy the looks he keeps giving me when he doesn't

1860
01:43:19,080 --> 01:43:21,080
Speaker 1: think I can see him. Next week, I'll give him

1861
01:43:21,080 --> 01:43:22,519
Speaker 1: a load down to the Freedom Under, hopefully get you

1862
01:43:22,560 --> 01:43:24,680
Speaker 1: a new listener. Much love to you and produce your

1863
01:43:24,720 --> 01:43:27,439
Speaker 1: mark shields high gentlemen. Yeah, thank you, paul At. This

1864
01:43:27,600 --> 01:43:30,000
Speaker 1: is the jokes that This is the joke that very

1865
01:43:30,479 --> 01:43:33,120
Speaker 1: not funny people keep making. I mean, I tell my parents, like,

1866
01:43:33,160 --> 01:43:34,280
Speaker 1: why do you guys have to give me such a

1867
01:43:34,320 --> 01:43:36,479
Speaker 1: weird name? They gave me this name. I didn't choose

1868
01:43:36,479 --> 01:43:38,920
Speaker 1: his name. That's one of my favorite emails, because like

1869
01:43:39,400 --> 01:43:41,519
Speaker 1: that person isn't doing it to mock you, Like he

1870
01:43:41,600 --> 01:43:45,120
Speaker 1: doesn't know your Republican commentator. He just legitimately heard the

1871
01:43:45,200 --> 01:43:46,840
Speaker 1: name and thought you were a porn star. Yeah, but

1872
01:43:46,920 --> 01:43:48,840
Speaker 1: maybe it's a porn star is a great podcast, you know,

1873
01:43:48,920 --> 01:43:51,320
Speaker 1: maybe a porn star is very very very well read

1874
01:43:51,400 --> 01:43:53,320
Speaker 1: to be one out there. Oh, there's gotta be a guy.

1875
01:43:53,360 --> 01:43:55,519
Speaker 1: There's gotta be a male adult film star who male

1876
01:43:55,600 --> 01:43:58,200
Speaker 1: a female, There's gotta be I'm a dude, but yeah,

1877
01:43:58,200 --> 01:43:59,840
Speaker 1: I'm just saying, there's gotta be one. Is you know?

1878
01:44:00,120 --> 01:44:02,840
Speaker 1: Actually you know who actually um like some of my

1879
01:44:02,960 --> 01:44:07,160
Speaker 1: tweets is the very very famous former adult film star

1880
01:44:07,280 --> 01:44:10,559
Speaker 1: Jenna Jamison, who is a conservative. Maybe we'll get her

1881
01:44:10,600 --> 01:44:13,400
Speaker 1: on that actually be really interesting. I would, I would.

1882
01:44:13,520 --> 01:44:15,360
Speaker 1: I would. Bill Riley had her on years ago. I

1883
01:44:15,439 --> 01:44:19,400
Speaker 1: remember that interview. That was probably for different reasons. I

1884
01:44:19,560 --> 01:44:21,240
Speaker 1: just remember Bill Riley had her on, but it would

1885
01:44:21,240 --> 01:44:23,960
Speaker 1: be interesting. I would. I would gladly have her on

1886
01:44:24,040 --> 01:44:26,720
Speaker 1: to hear about her politics. So, okay, at some point

1887
01:44:27,040 --> 01:44:29,240
Speaker 1: she's she's definitely a right wing. I'm not sure she's

1888
01:44:29,280 --> 01:44:31,320
Speaker 1: like James Woods level right wing, but she's definitely a

1889
01:44:31,400 --> 01:44:33,320
Speaker 1: right wing. We gotta have Woods onto. He's been great

1890
01:44:33,479 --> 01:44:37,360
Speaker 1: on Twitter. Greg, Hey, Buck, you said Braveheart is the

1891
01:44:37,439 --> 01:44:40,759
Speaker 1: greatest movie of all time. I agree. Let's not forget

1892
01:44:40,840 --> 01:44:43,240
Speaker 1: that Mel Gibson is also the greatest actor of all time.

1893
01:44:43,320 --> 01:44:45,360
Speaker 1: He should still be making movies on that level to

1894
01:44:45,439 --> 01:44:47,639
Speaker 1: this day. But the Hollywood left ruined him. It's extremely

1895
01:44:47,720 --> 01:44:53,160
Speaker 1: sad in a way. She'll tie Greg Um. I mean,

1896
01:44:53,200 --> 01:44:56,320
Speaker 1: I agree with that obviously. If I'm about Braveheart. I

1897
01:44:56,479 --> 01:44:59,000
Speaker 1: think mel Gibson has to take a lot of a

1898
01:44:59,040 --> 01:45:01,439
Speaker 1: lot of responsibility for ruining mel Gibson, if we're really

1899
01:45:01,479 --> 01:45:04,640
Speaker 1: gonna be honest here. But I appreciate you writing in

1900
01:45:04,800 --> 01:45:07,400
Speaker 1: my man, and yeah, I think Brave Brave Heart's just

1901
01:45:07,520 --> 01:45:09,560
Speaker 1: like as a special place in my heart, isn't. I

1902
01:45:09,600 --> 01:45:11,160
Speaker 1: remember my mom took me. I saw it with my

1903
01:45:11,240 --> 01:45:12,960
Speaker 1: mom back when it came out when I was in

1904
01:45:13,080 --> 01:45:15,400
Speaker 1: high school I think senior in high school maybe, And

1905
01:45:16,720 --> 01:45:17,840
Speaker 1: I came out of there and I was just like,

1906
01:45:17,920 --> 01:45:21,320
Speaker 1: I want broad sword, load, where is me broad sword?

1907
01:45:21,400 --> 01:45:23,519
Speaker 1: I want to want to kill. I want to go

1908
01:45:23,640 --> 01:45:28,120
Speaker 1: fight English, you know, the whole thing. And yeah, that

1909
01:45:28,200 --> 01:45:30,320
Speaker 1: would have been very cold, you know, and wet a

1910
01:45:30,400 --> 01:45:32,560
Speaker 1: lot at that part, in that time and in that

1911
01:45:32,600 --> 01:45:34,280
Speaker 1: part of the world. So I don't like being cold

1912
01:45:34,320 --> 01:45:38,400
Speaker 1: and wet. Chopper, hey book. In regards to children at restaurants,

1913
01:45:39,200 --> 01:45:42,360
Speaker 1: I mean, do people tell him get to the chopper? Probably? Right.

1914
01:45:43,360 --> 01:45:45,639
Speaker 1: A general rule I've always practiced is the minimum age

1915
01:45:45,640 --> 01:45:48,320
Speaker 1: of the child is determined by the cheapest entree on

1916
01:45:48,479 --> 01:45:51,320
Speaker 1: the menu seven dollars age seven minimum seems a great

1917
01:45:51,360 --> 01:45:54,720
Speaker 1: way for everyone involved. I could I could coach onto that.

1918
01:45:54,800 --> 01:45:58,280
Speaker 1: What do we think? I like it? Yeah, it's not bad, John,

1919
01:45:58,600 --> 01:46:00,439
Speaker 1: right Buck, Thank you for having the courage talk about

1920
01:46:00,439 --> 01:46:02,400
Speaker 1: the atrocity of abortion. I find it's strange the same

1921
01:46:02,400 --> 01:46:04,960
Speaker 1: people who want abortion for nine months will protest drinking milk.

1922
01:46:05,200 --> 01:46:08,120
Speaker 1: I'm misguided, John, appreciate you writing in. I feel like

1923
01:46:08,200 --> 01:46:10,360
Speaker 1: whenever I talk too much about that, there are people

1924
01:46:10,439 --> 01:46:12,760
Speaker 1: in different stations who probably think that it's hurting the ratings.

1925
01:46:12,840 --> 01:46:14,800
Speaker 1: But I think it's important I talk about what matters,

1926
01:46:14,840 --> 01:46:16,800
Speaker 1: and I hope you all respect and appreciate that. But

1927
01:46:16,880 --> 01:46:20,479
Speaker 1: always let me know your thoughts. Team, you have a

1928
01:46:20,600 --> 01:46:23,080
Speaker 1: fantastic weekend, please, That's what I would ask for all

1929
01:46:23,120 --> 01:46:26,320
Speaker 1: of you. Rest, recoup, regroup, do all the things you

1930
01:46:26,400 --> 01:46:29,120
Speaker 1: gotta do. Try to tell somebody about the Buck Saxon Show.

1931
01:46:29,200 --> 01:46:33,040
Speaker 1: Tell them to subscribe to our podcast on Apple Podcasts

1932
01:46:33,240 --> 01:46:36,720
Speaker 1: or on the iHeart app until Monday. Shields High