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Speaker 1: You are entering the freedom much Woodward says, once again,

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Speaker 1: worse than Watergate, Portland Band's facial recognition, smearing the Sturgis Rally,

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Speaker 1: masking nineteen month olds on planes, and why is canceled?

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Speaker 1: Netflix trendick. This is the Buck Sexon Show, where the

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Speaker 1: mission or mission is to decode what really matters with

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Speaker 1: passionable intelligence. Make no mistake America, You're a great American.

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Speaker 1: Again the buck Sexton Show begins. He's a great guy. No, welcome,

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Speaker 1: friends to the buck Sexton Show. Great to have you

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Speaker 1: here with me as always an honor, a privilege, and

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Speaker 1: a pleasure. Bob Woodward famous for Watergate, which was a

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Speaker 1: long time ago now, and he likes to appear on

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Speaker 1: CNN because the journalists revere this guy. He is their

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Speaker 1: patron saint in a sense, even more so than Edward R.

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Speaker 1: Murrow or any of the rest. Because Woodward brought down

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Speaker 1: a Republican president. Trust me, if he had brought down

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Speaker 1: a Democrat, he'd be living in a cabin in the

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Speaker 1: wood somewhere under a new name, having grown facial hair

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Speaker 1: to obscure his identity. Right. But if you're useful to

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Speaker 1: the left, if the Democrats find you to be somebody

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Speaker 1: who does their bidding. They will forever honor and take

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Speaker 1: care of you as long as you're useful. And Bob Woodward,

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Speaker 1: because he has this aura of the president's ender, right,

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Speaker 1: he can end a presidency. They like to trot him out.

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Speaker 1: But the problem with Woodward right now is that they've

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Speaker 1: done this how many times during the Trump presidency. Let's

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Speaker 1: just go over for a moment, shall we all the

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Speaker 1: reasons why now he's finished? Now Trump is done this time,

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Speaker 1: he's gone too far. Well, there was a Russia collusion,

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Speaker 1: a lie. The whole thing was a hoax. It was

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Speaker 1: a witch hunt. That was true. But there was that,

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Speaker 1: And then there was the comments that he made during

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Speaker 1: the campaign, Oh, way too far. He's gone too far

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Speaker 1: about whether it's Kazir Khan. And then later on when

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Speaker 1: he became president, the comments he made at Charlotte'esville. Oh,

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Speaker 1: it's all it's worse than what they lied about his

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Speaker 1: comments at Charlottes. Well, you're noticing a pattern, aren't you?

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Speaker 1: If Trump were so awful, and just just apply reason

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Speaker 1: and rationality to this for a moment, If Trump were

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Speaker 1: so terrible, why did they have to keep lying about him.

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Speaker 1: Isn't that noteworthy? Isn't that something that would come to mind?

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Speaker 1: Pretend for a second you don't even support or defend

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Speaker 1: Trump in any way, But wouldn't that make you suspicious

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Speaker 1: if you had a colleague in the office and someone

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Speaker 1: that you worked with was saying that guy he's the worst,

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Speaker 1: he's the worst person in the office, and the you know,

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Speaker 1: the colleague who's talking the trash kept lying and you

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Speaker 1: knew he was lying, wouldn't you start to think maybe

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Speaker 1: the guy that's being defamed is not the problem. That's

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Speaker 1: certainly what we've seen with Trump in all of this.

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Speaker 1: That's the truth of this current situation that if he

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Speaker 1: were as bad as they say, well, then obviously we

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Speaker 1: wouldn't want him to be president, and he wouldn't be

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Speaker 1: in a very strong position already to win reelection. But

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Speaker 1: they lie about him, and one of their favorite points

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Speaker 1: of attack against him is how much he lies, and

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Speaker 1: they don't understand that if you're somebody who has a

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Speaker 1: very weak relationship with the truth, which our media and

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Speaker 1: the Democratic Party clearly does, people aren't just going to

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Speaker 1: take your word for it that somebody else has problems

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Speaker 1: with their verac city and then that brings us to

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Speaker 1: this Woodward allegation of what we're all being told here?

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Speaker 1: Oh well, well, first, what we need to hear it

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Speaker 1: from him? Right, we need to hear it from him.

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Speaker 1: We need to have Woodward tell us this. We need

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Speaker 1: to have Bernstein tell us this. What is it now?

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Speaker 1: Play clip fourteen. It is a dereliction of duty recorded

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Speaker 1: as no other presidential dereliction of duty has been, even

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Speaker 1: more so than the Nixon tapes initi instance. So it's

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Speaker 1: going to be very hard to see how this cannot

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Speaker 1: be addressed by Republicans in particular and their candidate for

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Speaker 1: president of the United States. The last time this happened

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Speaker 1: during Nixon's the end of Nixon's presidency, the Republican leadership,

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Speaker 1: concluding Barry gold Laying in the nineteen sixty four nominee

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Speaker 1: of his party for president, went to the White House

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Speaker 1: and told Nixon he had to resign. And the facts

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Speaker 1: here are even graver than in Watergate, even graver. What

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Speaker 1: we're in bird seeing Baby coming out telling us even

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Speaker 1: graver then Watergate. Of course, there you have it. What

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Speaker 1: else do you need to know? Oh, my gosh, is here? Well,

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Speaker 1: then of course Trump should resign now is that you know,

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Speaker 1: they impeached him and it was a joke. They had

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Speaker 1: a special counsel against him, and it was preposterous. And

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Speaker 1: now they've written a book, one of many. I mean,

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Speaker 1: you're every week you can expect another big media bombshell

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Speaker 1: about how Trump is worse than Hitler. And the media

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Speaker 1: gets even more irate when we look at this and say,

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Speaker 1: you can't tell us every week that this is the

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Speaker 1: worst thing ever about Trump and expect us to believe

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Speaker 1: that you have good judgment, expect us to believe that

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Speaker 1: you lib media are sane. We're not going to believe you.

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Speaker 1: We're not going to think that your approach to this

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Speaker 1: is reasonable. Quite the opposite. But Bernstein's coming out Woodward's book,

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Speaker 1: Bernstein's analysis, Oh, it's just like the Nickson era, worse

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Speaker 1: than the Watergate tips. How stupid do they think we are? Now, Look,

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Speaker 1: there's clearly a benefit for them to do this, because

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Speaker 1: they feed this analysis to their own their own side.

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Speaker 1: They feed this analysis to the people who are obsessed,

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Speaker 1: quite honestly obsessed with an endless diet of anti Trumpism.

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Speaker 1: The more the more you can give them that supports

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Speaker 1: this theory that Trump is the worst person in history,

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Speaker 1: the happier they are. But we're in the election cycle now,

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Speaker 1: and ultimately this is all for a purpose, right, and

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Speaker 1: the turnout of the extreme left Libs in the blue

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Speaker 1: states is pretty much a fate at complea. I mean,

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Speaker 1: no one really expects that there's not going to be

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Speaker 1: a lot of angry Antifa supporting BLM loving liberal lunatic

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Speaker 1: showing up to vote for Biden. But when you're looking

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Speaker 1: at those swing states and you're looking at what's going

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Speaker 1: to be the difference maker here, none of this is.

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Speaker 1: None of this stuff matters. It's not going to change

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Speaker 1: any minds or opinions. And part of this is the

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Speaker 1: desperation the media has to reassert lost power. They like

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Speaker 1: to think that they're at least able to control the

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Speaker 1: conversation about a presidency and that if they went all

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Speaker 1: in against a president, as they have against Donald Trump,

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Speaker 1: they could defeat him. But they can't. At least they

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Speaker 1: weren't able to before. They're hoping to be able to

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Speaker 1: do it this time. And the desperation is only going

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Speaker 1: to grow the closer to this we get. I saw

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Speaker 1: the latest polls today, the toss up states, And there's

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Speaker 1: so many polls I can't remember which one this was,

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Speaker 1: but the toss up states are of Florida, North Carolina.

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Speaker 1: Ohio is trending Republican. But there are only a handful

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Speaker 1: of states that are really totally up for grabs right

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Speaker 1: now that are going to be meaningful in all of this.

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Speaker 1: There are a whole lot that are leaning Republican or

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Speaker 1: leaning Democrat that obviously could switch. But now it's all

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Speaker 1: about the scoreboard, folks. It's all about winning. And I'll

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Speaker 1: just say this now, I am certainly not tired of winning.

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Speaker 1: I am not tired of it. The President said, at

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Speaker 1: some point we'll be there, maybe after four or more years.

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Speaker 1: But for right now, we need to batten down the

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Speaker 1: hatches and prepare for the onslought of propaganda and lies

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Speaker 1: that are coming our way. We have to get ready

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Speaker 1: for all of this with our shields high, prepared for

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Speaker 1: anything and everything. Because last time they thought cruise Control

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Speaker 1: would get it done. Last time theyoomed if only things

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Speaker 1: continued as they were, Hillary Clinton Hello, would be president

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Speaker 1: of the United States. What happened was she lost this

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Speaker 1: time around. They're leaving nothing to chance. They are colluding

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Speaker 1: behind the scenes every day where there's quiet every day,

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Speaker 1: where you feel like it's kind of a boring news cycle.

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Speaker 1: Just remember that thousands and thousands of paid left wing

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Speaker 1: activists who call themselves journalists are gathering in newsrooms and

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Speaker 1: at different cable news stations and in Hollywood and you

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Speaker 1: name it, all the different hubs of communication, taste making,

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Speaker 1: and places that are able to engage in propaganda. They're

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Speaker 1: they're all all hands on deck, and they're gonna do

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Speaker 1: everything that canna defeat this guy. This Woodward book. We

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Speaker 1: won't even remember it in a week or two. I

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Speaker 1: know they're gonna they're gonna do the drip drip of Oh,

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Speaker 1: and then there's another thing that's terrible. Oh, then there's

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Speaker 1: anohing that's terrible. We care about how the president has

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Speaker 1: done in office. That's where this should actually be fought.

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Speaker 1: That's what's really an issue. But instead the focus of

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Speaker 1: the anti Trump left is always a thing that someone

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Speaker 1: says he said that can't be confirmed, or a thing

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Speaker 1: that he did say, in this case, on the record

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Speaker 1: and taped that is completely taken out of context. Let's remember,

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Speaker 1: let's remember this before we have to continue to defend

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Speaker 1: against these unfair spirits. I mean the media pulling clips

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Speaker 1: of Trump from February of twenty twenty and presenting them

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Speaker 1: out of context to make him look reckless on COVID.

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Speaker 1: This is pure election propaganda. You could do this to

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Speaker 1: every single public figure who spoke about COVID back then.

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Speaker 1: Fouci doctor Fouch said it was like, hey, it's no

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Speaker 1: big deal. The seat told us don't wear masks. They

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Speaker 1: even told us it was wrong to wear masks because

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Speaker 1: we're gonna be taking them from a central frontline workers.

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Speaker 1: It's just completely and utterly, transparently dishonest. But you're going

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Speaker 1: to see so much of that. And remember this, friends,

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Speaker 1: they don't have to win the argument. They just have

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Speaker 1: to beat you down with the arguments. They don't have

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Speaker 1: to convince you. They just have to overwhelm you. That's

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Speaker 1: what's really going on right now. That's the flood, the zone,

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Speaker 1: kitchen sink, everything. They've got strategy to defeat Donald Trump.

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Speaker 1: So don't become demoralized. Don't feel like it can't happen

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Speaker 1: or there's just too much, or what do we learn

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Speaker 1: in twenty sixteen. If we stick to our guns, if

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Speaker 1: we stay with our convictions, we will get through this

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Speaker 1: and you'll have four more years. But man, it's gonna

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Speaker 1: be nasty. I mean, this is gonna be a bar

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Speaker 1: fight that nobody's going to enjoy, but we gotta win it.

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Speaker 1: You're in the freedom mud. This is the Buck Sex

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Speaker 1: and Show podcast. Speaking of doctor Fauci. Not a man

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Speaker 1: that you would ever think would rush to the President's

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Speaker 1: defense on anything. Not somebody that any intelligent, reasonable human

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Speaker 1: being would ever say is a pro Trump partisan. But

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Speaker 1: when you're thinking about the fouch, you gotta remember, Oh,

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Speaker 1: he's already come out there and said this whole Trump.

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Speaker 1: Remember the allegation is that Trump dishonestly downplayed the virus.

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Speaker 1: What's the strategy here? No one ever answers that question.

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Speaker 1: You're gonna tell everybody, Oh, it's no big deal in

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Speaker 1: February and hope they'll notice all the infections and people

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Speaker 1: dying in March, at April and May. No, what's a

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Speaker 1: realistic explanation for this? The president was trying to avoid

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Speaker 1: panicking people while he was taking government action based upon

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Speaker 1: the experts that he inherited from our health bureaucracy. But

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Speaker 1: there's one health bureaucrat who's at least willing to say that. No. Sorry,

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Speaker 1: this whold woodward thing about how he played something down,

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Speaker 1: it's not true. Play seven. I don't recall anything different

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Speaker 1: than in our discussions that we had with the President,

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Speaker 1: that he said things quite similar publicly. So I didn't

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Speaker 1: read the book. I didn't really go over any of

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Speaker 1: the texts since it just came out. But you know,

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Speaker 1: in my discussions and the discussions of other task Force

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Speaker 1: members with the President, we're talking about the reality of

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Speaker 1: what was going on. And then when we would get

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Speaker 1: up in front of the press conferences which were very,

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Speaker 1: very common after our discussions with the President, he really

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Speaker 1: didn't say anything different than we discussed when we were

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Speaker 1: with him. So I may not be tuned in to

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Speaker 1: the right thing that they're talking about, but I didn't

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Speaker 1: what we told him and what he ultimately came out

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Speaker 1: publicly and said. So did you get a sense that

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Speaker 1: he was or wasn't playing this down? No? No, no,

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Speaker 1: I didn't. I didn't get any sense that he was

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Speaker 1: distorting anything. I mean, in my discussions with him, they

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Speaker 1: were always straightforward about the concerns that we had. We

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Speaker 1: related that to him, and when he would go out

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Speaker 1: and I'd hear him discussing the same sort of things.

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Speaker 1: Was Trump distorting things? Here is the president's chief scientific

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Speaker 1: advisor and all of this saying No, he wasn't. So

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Speaker 1: what are we even talking about. Shouldn't this be case closed?

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Speaker 1: Shouldn't this be what's all the hubbub? Oh? Of course not,

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Speaker 1: because this is all for a purpose, and the purpose

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Speaker 1: is not the truth. As people have pointed out, including

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Speaker 1: the President who pointed out before, isn't it interesting? And

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Speaker 1: I got a retweet from the President today just saying,

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Speaker 1: but isn't it interesting that Bob Woodward would be willing

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Speaker 1: on to all of this for months and months and

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Speaker 1: months to make sure that he could drop it with

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Speaker 1: his book sales, you know, to make sure that it

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Speaker 1: would benefit him if the President was really that clear

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Speaker 1: and president a danger to public health. Wouldn't Woodward, as

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Speaker 1: a journal who's supposed to be speaking the truth to

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Speaker 1: the public so they can make informed decisions for our democracy.

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Speaker 1: Wouldn't a journal have to come forward right away and say, guys,

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Speaker 1: I'm the President's lying to you about this virus? And

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Speaker 1: he's putting your lives at risk. If you really believe

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Speaker 1: that right away, wouldn't you be a moral monster to

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Speaker 1: hold on to that information. I think the answer is

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Speaker 1: most decidedly yes. And so what does that tell us

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Speaker 1: about this? All these books that you see that are

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Speaker 1: you know, these anti Trump books, they always have to

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Speaker 1: sell them with one or two juicy tidbits. There's always

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Speaker 1: one or two things that they'll row in the mix that's, ooh,

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Speaker 1: here's the big bombshell revelation. And people buy the book,

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Speaker 1: they realize it's slap dash, not that interesting, a lot

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Speaker 1: of just trying to fill up space on the pages

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Speaker 1: to justify the twenty five twenty five dollar hardcover price.

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Speaker 1: And you realize the revelations weren't even really revelations Trump

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Speaker 1: way back when I was dealing with Jim Acosta, the

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Speaker 1: hostile press corps in the early days of the pandemic.

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Speaker 1: And this is what he said about his response to

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Speaker 1: this play clip one. What do you say to Americans

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Speaker 1: will that you got this wrong? I do want them

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Speaker 1: to stay calm, and we are doing a great job.

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Speaker 1: If you look at those individual statements, they will true

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Speaker 1: stay come, it will go away. You know it. You

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Speaker 1: know it is going away, and it will go away,

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Speaker 1: and we're gonna have a great victory. And it's people

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Speaker 1: like you and CNN that say things like that that

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Speaker 1: it's why people just don't want to listen to CN anymore.

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Speaker 1: You could ask a normal question. The statements I made

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Speaker 1: are I want to keep the country calm. I don't

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Speaker 1: want panic in the country. I could cause panic much

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Speaker 1: better than even you. I could do much. I would

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Speaker 1: make you look like a minor league player. But you

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Speaker 1: know what, I don't want to do that. I want

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Speaker 1: to have our country be calm and strong and fight

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Speaker 1: and win, and it will go away. And it is

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Speaker 1: incredible the job that all of these people are doing,

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Speaker 1: putting them all together, the job that they're doing. I

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Speaker 1: am very proud of the job they're doing that. Mike

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Speaker 1: Pence is doing that, the Task Force has done that,

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Speaker 1: Honeywell and Procter and Gamble and Mike and all of

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Speaker 1: these people have done I'm very proud. It's almost a miracle.

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Speaker 1: And it is the way it's all come together. And

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Speaker 1: instead of asking a nasty, snarky question like that, you

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Speaker 1: should ask a real question President making very clear that

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Speaker 1: was months and months and months ago. It's like, yeah,

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Speaker 1: I don't want people to panic. It is going to

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Speaker 1: go away. What's the alternative too, it's going to go away.

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Speaker 1: It's never going to go away. Our society is ruined.

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Speaker 1: Civilization as we know it is over. I don't think

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Speaker 1: that would be an intelligent thing for Trump to say,

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Speaker 1: which is why he didn't, which is why he was

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Speaker 1: saying We're gonna win. But Democrats want the country to lose.

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Speaker 1: That's the problem. Thanks for listening to The Bus Sesson

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

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Speaker 1: app or wherever you get your podcasts. And if we're

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Speaker 1: gonna play the what were they saying then about COVID game?

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Speaker 1: Remember back in February Nancy Pelosi, here's what she had

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Speaker 1: to say, Play Cliff two. You should come to Chinatown,

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Speaker 1: but cautions have been taken by our city. We know

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Speaker 1: that there's a concervative about tourism traveling all throughout the world,

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Speaker 1: but we think it's very safe to be a time

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Speaker 1: totown and hope that others will come. She's like the

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Speaker 1: mayor in Jaws who insists on saying over Fourth of

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Speaker 1: July weekend, the beaches will be open. Remember that she's

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Speaker 1: just Oh she doesn't care at all. Okay, care that

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Speaker 1: dadda to China. Dad, it's Kennedy. My butler says that

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Speaker 1: he knows a gardener, who knows a chauffeur who loves

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Speaker 1: the lunar New Year Festival. That's great, Nancy, good job,

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Speaker 1: good job. Yeah, that's what she was saying. Precautions were taken.

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Speaker 1: Do you think precautions were taken? No? No, there were not.

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Speaker 1: No masks, no social distancing, no nothing. But nonetheless, this

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Speaker 1: is where we are, folks. This is what we are

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Speaker 1: being told now. They are really just hoping that they

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Speaker 1: can they can convince the ignorant and they can demoralize

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Speaker 1: the informed. That's that's the Democrat plan. That's what they're

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Speaker 1: hoping to do. And unfortunately, because they have so many,

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Speaker 1: so many allies in the media, including the increasingly odious

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Speaker 1: and stupid Morning Joe over there playclip three. Donald Trump

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Speaker 1: says he didn't want Americans to panic. No, he just

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Speaker 1: wanted to sit by and watch them die, hoping the

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Speaker 1: Dow Jones Industrial and the S and P would stay

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Speaker 1: healthy enough to get him reelected. But Americans got sicker.

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Speaker 1: By the day, do you watched your parents die? Trump

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Speaker 1: wanted to watch your parents and you die. That's what

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Speaker 1: you're being told. That's what you're being told. That's considered

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Speaker 1: commentary on a major news channel. The President doesn't care

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Speaker 1: about a single single They believe this, by the way.

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Speaker 1: I remember on the Bill Marshow in February when I

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Speaker 1: was on the panel and was you know, just being

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Speaker 1: talked over, and wasn't you know it's it's it's a mess.

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Speaker 1: But you can't show them that, You're can't show them

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Speaker 1: you're going to back down. I remember when I was

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Speaker 1: on that panel and they I kept saying, can we

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Speaker 1: all just agree President Trump doesn't want it's no matter

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Speaker 1: what you think of him morally as president, he doesn't

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Speaker 1: want people to die from this because that hurts his presidency.

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Speaker 1: And we're all pretty sure he likes being president, likes

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Speaker 1: likes being in charge. And they wouldn't concede that. They're like, no,

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Speaker 1: Trump doesn't care, No, No, there was there was no

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Speaker 1: willingness to meet me in the middle or just meet

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Speaker 1: me in the realm of sanity where I'm declaring that

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Speaker 1: Trump doesn't want people to die from this. Chris Hayes

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Speaker 1: msn also at MSNBC, just this morning wrote this on Twitter.

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Speaker 1: Important to keep in mind that not just McConnell, but

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Speaker 1: just about the entire GOP caucus and also all the

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Speaker 1: staffers that work for them are also complicit in the

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Speaker 1: unnecessary depths of tens of thousands of Americans such weasel

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Speaker 1: words right, complicit in the deaths of tens of thousands

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Speaker 1: of Americans? How should they be should they be criminally charged?

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Speaker 1: What is their level of culpability? And I would want

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Speaker 1: to know is every person who got on a subway

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Speaker 1: or a bus or went to a restaurant or a

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Speaker 1: bar and didn't know they had COVID and coughed on someone,

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Speaker 1: are they complicit in an unnecessary death to be held

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Speaker 1: morally culpable. That's That's going to be a very large

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Speaker 1: list of people, isn't it. How would you ever know?

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Speaker 1: How could you ever prove it? You can't. But it's

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Speaker 1: about the propaganda. It's not about getting to the truth here.

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Speaker 1: This is going to be a whole new line of attack.

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Speaker 1: It's not just Trump mismanaged the COVID pandemic, they'll say,

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Speaker 1: or that he downplayed the risks from it. Trump is

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Speaker 1: equivalent to a mass murderer. You're gonna hear democrats say that.

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Speaker 1: In fact, just give it time. That term will emerge

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Speaker 1: from the lips of Democrats on television. I would say

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Speaker 1: on radio, But who listens to Democrat radio? That's gonna happen.

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Speaker 1: They don't care that it's reckless. They don't care that

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Speaker 1: it's just a stupid thing to say. In fact, if anything,

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Speaker 1: they enjoy being able to abuse the platforms. They have

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Speaker 1: to settle personal scores because they view this president. They

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Speaker 1: view this president as worthy of destruction at all costs,

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Speaker 1: doesn't matter what they have to do. That's why you

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Speaker 1: have Biden, for example, piling on with the Woodword book. Yeah,

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Speaker 1: this is gonna rush a collusion, didn't do it. But

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Speaker 1: the interviews with Bob Woodward, that's the last that's the

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Speaker 1: last straw play nineteen kick him out of office? For

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Speaker 1: this one, Biden says, kick him out of office? Yeah,

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Speaker 1: that seems fair. That seems fair, doesn't it? That doesn't

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Speaker 1: seem completely insane. But what else are they going to say?

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Speaker 1: Vote for the elderly loser that nobody thinks is impressive

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Speaker 1: in any way. But he's the best we got now

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Speaker 1: because of the situation of the Democrat Party. Well, that

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Speaker 1: is pretty much what they're telling you. That's what they're

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Speaker 1: telling you. And you know, the another thing I want

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Speaker 1: you all to be very aware of is the politics,

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Speaker 1: the politics surrounding the vaccine. I mean, this is something

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Speaker 1: that all of us should be prepared for because this

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Speaker 1: is where you'll see that there are no limits to

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Speaker 1: the Democrats perfidious conduct. There will be no limits to

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Speaker 1: the extent they're willing to go to in order to

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Speaker 1: vince people that Donald Trump is responsible for the deaths

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Speaker 1: of thousands and thousands of people personally responsible. It's like

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Speaker 1: he ordered them into COVID camps or something. That's the

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Speaker 1: attitude that's going to be the way that they talk

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Speaker 1: about it. You know, they have no shame about this.

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Speaker 1: There's there's no part of them that feels even the

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Speaker 1: least bit of remorse for making the suggestions that they

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Speaker 1: do about this president. They think it's all absolutely fine.

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Speaker 1: And so I just want to make sure that we're

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Speaker 1: clear they're gonna play dirty on that too. Play for me.

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Speaker 1: Nancy Pelosi here, Oh, she's so so sure that there's

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Speaker 1: going to be a vaccine, but not sure when right

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Speaker 1: doesn't know when it's actually going to happen, and she's

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Speaker 1: watching this program like a hawk, because Nancy really knows

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Speaker 1: anything about anything. Plate ten. But the fact is, I'm

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Speaker 1: very pleased that Astro Seneca has stopped their trial because

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Speaker 1: they saw a problem that needs to be investigated. I'm

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Speaker 1: so proud that the pharmaceutical companies have said they won't

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Speaker 1: market or promote a vaccine unless it is properly approved

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Speaker 1: by the independent scientific advisory committee set up for such

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Speaker 1: a thing. They I'm glad they're saying that because I

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Speaker 1: have concerns about what the president might want to do

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Speaker 1: to the timing and politicizing of the research that is there. Oh,

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Speaker 1: that's right. Trump will rush through an unsafe vaccine. That's

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Speaker 1: Nancy's position, That's what she really believes. Trump will rush

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Speaker 1: through an unsafe vaccine. That's how evil he is. First

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Speaker 1: of all, how would he even do that? All you

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Speaker 1: would need the drug companies are not going to take

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Speaker 1: the liability. The drug companies are not going to take

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Speaker 1: the risk of putting forward a drug that, let's say,

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Speaker 1: does have adverse reactions in enough people that it shouldn't

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Speaker 1: have been approved. They're not going to do that. What

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Speaker 1: do you think Trump's gonna have an executive order to

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Speaker 1: override the FDA. I mean, then people really would freak

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Speaker 1: out about this. But no, what are they doing. They're

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Speaker 1: complaining about what Trump will do when no reasonable person

425
00:27:33,880 --> 00:27:37,320
Speaker 1: thinks he's going to do it. This is kind of

426
00:27:37,320 --> 00:27:39,800
Speaker 1: a standard operating procedure for them. This is not a

427
00:27:39,840 --> 00:27:43,480
Speaker 1: new thing. They're trying to tell you, Oh, we should

428
00:27:43,480 --> 00:27:46,960
Speaker 1: criticize him today for what we say he'll do tomorrow,

429
00:27:47,280 --> 00:27:51,879
Speaker 1: even though it's never going to happen. Surgeon General Jerome

430
00:27:51,920 --> 00:27:55,080
Speaker 1: Adams was very clear on this, and you know, there

431
00:27:55,119 --> 00:27:59,680
Speaker 1: are lives at stake are our country needs its life back.

432
00:28:00,720 --> 00:28:02,960
Speaker 1: We need to go back to the way that we

433
00:28:03,040 --> 00:28:05,800
Speaker 1: have existed for a long time before this pandemic and

434
00:28:05,800 --> 00:28:09,639
Speaker 1: will for a long time after. But at this point,

435
00:28:09,720 --> 00:28:15,679
Speaker 1: delay is just unnecessary punishment. At this point, delay is

436
00:28:15,720 --> 00:28:20,760
Speaker 1: making the situation worse. There's no benefit from it. But

437
00:28:20,880 --> 00:28:25,280
Speaker 1: Democrats don't care. Here's Surgeon General Jerome Adams played on.

438
00:28:25,760 --> 00:28:28,119
Speaker 1: Here's what I can tell you as a member of

439
00:28:28,160 --> 00:28:33,760
Speaker 1: the Coronavirus Task Force, there have been no politicization of

440
00:28:33,800 --> 00:28:39,240
Speaker 1: the vaccine process whatsoever. We have a process in place

441
00:28:39,840 --> 00:28:43,480
Speaker 1: that I trust as a doctor, As a dad, I

442
00:28:44,040 --> 00:28:47,080
Speaker 1: get vaccinated every year. I get my family vaccinated every year.

443
00:28:48,800 --> 00:28:52,560
Speaker 1: No politicization, he said. And now, even if you think

444
00:28:52,600 --> 00:28:56,560
Speaker 1: that Trump is so corrupt and ruthless that he would

445
00:28:56,600 --> 00:28:59,880
Speaker 1: try to do something here, what would that be Exactly

446
00:29:00,960 --> 00:29:03,480
Speaker 1: as I said, an executive order to give the vaccine

447
00:29:03,480 --> 00:29:05,640
Speaker 1: to everybody, with the drum company saying it's or with

448
00:29:05,680 --> 00:29:08,400
Speaker 1: the FDA saying it's not ready. It would be disastrous

449
00:29:08,400 --> 00:29:11,960
Speaker 1: for Trump. He knows that. But so what do Democrats

450
00:29:12,040 --> 00:29:14,920
Speaker 1: want to do? Pretend that you know that they want

451
00:29:14,920 --> 00:29:17,680
Speaker 1: to criticize him for something that he has not done,

452
00:29:18,280 --> 00:29:20,720
Speaker 1: and at least make everyone think, oh, I don't know,

453
00:29:21,400 --> 00:29:25,800
Speaker 1: don't don't expect, don't expect that the this project warp

454
00:29:25,920 --> 00:29:28,360
Speaker 1: speed is going to bear fruit. Don't don't get your

455
00:29:28,360 --> 00:29:33,720
Speaker 1: hopes up America. Be depressed, be upset, be worried. Let

456
00:29:33,760 --> 00:29:39,320
Speaker 1: that anxiety just seep through your mind. Let that happen,

457
00:29:41,040 --> 00:29:44,000
Speaker 1: because when people are upset and anxious, what do they

458
00:29:44,000 --> 00:29:47,959
Speaker 1: want change? And what would be away? Just a basic

459
00:29:48,040 --> 00:29:51,320
Speaker 1: human impulse to try to acquire change. That's coming up

460
00:29:51,400 --> 00:29:55,240
Speaker 1: very soon the election, of course, So that's what they're

461
00:29:55,240 --> 00:29:59,200
Speaker 1: going to do push for everyone to be upset because

462
00:29:59,240 --> 00:30:01,520
Speaker 1: then they think they have a better chance of winning,

463
00:30:01,640 --> 00:30:03,880
Speaker 1: and all the suffering that occurs between now and then,

464
00:30:04,560 --> 00:30:08,920
Speaker 1: all the matter, they don't care. And I really mean

465
00:30:09,000 --> 00:30:12,880
Speaker 1: this right they believe because on our side, I think

466
00:30:12,920 --> 00:30:16,400
Speaker 1: that there's always understanding that politicians are imperfect and life

467
00:30:16,520 --> 00:30:18,600
Speaker 1: is hard and there are challenges that you can't always

468
00:30:19,720 --> 00:30:23,480
Speaker 1: meet or succeed in getting past. And on the Democrat

469
00:30:23,560 --> 00:30:26,160
Speaker 1: side of things, it's just defeat Trump because if we don't,

470
00:30:26,200 --> 00:30:29,400
Speaker 1: the country's over. If you don't get rid of Trump,

471
00:30:29,400 --> 00:30:33,080
Speaker 1: everything crumbles and everyone dies. And I know that's hyperbolic

472
00:30:33,120 --> 00:30:36,800
Speaker 1: and insane, but they're hyperbolic and insane. So I'm just

473
00:30:37,520 --> 00:30:41,320
Speaker 1: looking at what they're saying and doing and referring to it.

474
00:30:42,600 --> 00:30:45,960
Speaker 1: I'm just seeing the way things are and having a

475
00:30:46,080 --> 00:30:49,440
Speaker 1: chat about what I think is actually going on with

476
00:30:49,480 --> 00:30:55,520
Speaker 1: the Democrat Party. Oh and then of course there's the

477
00:30:55,560 --> 00:30:58,120
Speaker 1: bill that's supposed to bring relief to people in this

478
00:30:58,240 --> 00:31:02,440
Speaker 1: current challenging no climate. Where are the Democrats on that one?

479
00:31:02,520 --> 00:31:08,120
Speaker 1: You may ask, you're in the Freedom und this is

480
00:31:08,120 --> 00:31:17,880
Speaker 1: the Buck Sexton Show podcast. No it isn't. Thank you

481
00:31:18,200 --> 00:31:20,920
Speaker 1: so much for that question, because I hear it a lot,

482
00:31:20,960 --> 00:31:24,640
Speaker 1: and clearly it springs from all the good intentions. We

483
00:31:24,720 --> 00:31:26,840
Speaker 1: all have to help people as soon as we can.

484
00:31:27,240 --> 00:31:30,479
Speaker 1: It does nothing. There are millions of kids who are

485
00:31:30,520 --> 00:31:35,440
Speaker 1: food insecure, millions, maybe fourteen million in our country food insecure.

486
00:31:35,680 --> 00:31:38,360
Speaker 1: He has nothing for that. There are millions of their

487
00:31:38,480 --> 00:31:43,440
Speaker 1: families to be victims of emission evictions because they can't

488
00:31:43,480 --> 00:31:47,000
Speaker 1: pay the rent. They don't care about that. Wait, I'm sorry,

489
00:31:47,080 --> 00:31:49,800
Speaker 1: hold on a second. Nancy Pelosi is the one who

490
00:31:49,880 --> 00:31:53,200
Speaker 1: is stopping money from getting to people. Nancy Pelosi is

491
00:31:53,240 --> 00:31:57,040
Speaker 1: the one who has at every stage of the relief

492
00:31:57,120 --> 00:32:00,600
Speaker 1: process played political games. What is a political game, let's

493
00:32:00,640 --> 00:32:03,840
Speaker 1: define it, instead of just dealing with the problem at hand,

494
00:32:03,880 --> 00:32:05,400
Speaker 1: how to get money in the hands of workers who

495
00:32:05,440 --> 00:32:08,760
Speaker 1: have lost their jobs because of government policies that, by

496
00:32:08,800 --> 00:32:12,320
Speaker 1: the way, we're unnecessary and stupid to lock us down

497
00:32:12,560 --> 00:32:17,080
Speaker 1: for months and months. Government has an obligation to help

498
00:32:17,160 --> 00:32:19,959
Speaker 1: those workers. It's not their fault that they don't have

499
00:32:20,040 --> 00:32:24,040
Speaker 1: paychecks anymore. It's not their fault that they are going

500
00:32:24,080 --> 00:32:27,360
Speaker 1: through this economic stress. It is, in fact the government's fault.

501
00:32:27,520 --> 00:32:29,600
Speaker 1: But when the government then is supposed to try to

502
00:32:29,680 --> 00:32:33,080
Speaker 1: make some amends, not that they can fully deal with

503
00:32:33,120 --> 00:32:38,760
Speaker 1: the situation. Pelosi says, Hey, Hi, Hi, want a pony.

504
00:32:38,840 --> 00:32:43,880
Speaker 1: You know there's unreasonable demands. Pelosi's probably got plenty of ponies.

505
00:32:43,920 --> 00:32:46,920
Speaker 1: I'm sure she owns a ranch somewhere. She has to

506
00:32:47,000 --> 00:32:49,880
Speaker 1: help take care of the animals. Of course, Pelosi throws

507
00:32:49,920 --> 00:32:53,080
Speaker 1: all this other stuff in the mix. Miss McConnell sees this.

508
00:32:53,200 --> 00:32:56,800
Speaker 1: He understands what's going on. Play fifteen. At this point,

509
00:32:56,840 --> 00:33:00,600
Speaker 1: it's just silly season on the Democratic side. They've run

510
00:33:00,600 --> 00:33:04,040
Speaker 1: out of excuses not to legislative and even their chief

511
00:33:04,080 --> 00:33:09,920
Speaker 1: shots just backfire in embarrassing ways. Yep, Cocaine. Mitch ain't

512
00:33:09,920 --> 00:33:14,320
Speaker 1: playing no games. He sees what they're doing. What have

513
00:33:14,440 --> 00:33:17,920
Speaker 1: I told you about the make America Miserable Again? Campaign

514
00:33:17,920 --> 00:33:21,280
Speaker 1: of the Democrats. They want people to be unhappy, They

515
00:33:21,320 --> 00:33:23,360
Speaker 1: want them to be unable to pay their bills. They

516
00:33:23,440 --> 00:33:29,880
Speaker 1: want this unease, this anxiety to continue because they benefit

517
00:33:30,000 --> 00:33:34,160
Speaker 1: from it. Because they know that that makes it harder

518
00:33:34,200 --> 00:33:37,440
Speaker 1: for Trump to turn around and say to the American people,

519
00:33:37,840 --> 00:33:40,520
Speaker 1: look at what a great job I've done. Even though

520
00:33:41,080 --> 00:33:45,120
Speaker 1: I'm just gonna say it, Trump has done a very

521
00:33:45,160 --> 00:33:48,200
Speaker 1: good job as president. Trump is the best Republican president

522
00:33:48,240 --> 00:33:50,880
Speaker 1: we have had since Ronald Reagan. It's just a fact,

523
00:33:51,920 --> 00:33:55,080
Speaker 1: it's just reality. Does that mean he's perfect? Does that

524
00:33:55,080 --> 00:33:56,720
Speaker 1: mean I agree with everything? Of course not, but I

525
00:33:56,720 --> 00:34:00,000
Speaker 1: would never I wouldn't agree with everything Reagan did either.

526
00:34:00,280 --> 00:34:03,520
Speaker 1: Reagan signed an amnesty that was a disaster, and he

527
00:34:03,520 --> 00:34:05,880
Speaker 1: admitted it was a disaster before people say, buck, don't

528
00:34:06,000 --> 00:34:10,200
Speaker 1: Chris size Saint Reagan. Look, no one's perfect, but what

529
00:34:10,280 --> 00:34:12,760
Speaker 1: they're trying to do here couldn't be any more obvious.

530
00:34:13,080 --> 00:34:14,879
Speaker 1: I think the moment that you take a step back

531
00:34:14,920 --> 00:34:18,600
Speaker 1: and say, hold on a second, what's really happening here,

532
00:34:18,640 --> 00:34:23,239
Speaker 1: you can see they're doing everything in their power. They're

533
00:34:23,360 --> 00:34:29,960
Speaker 1: using their power to make people upset and frightened and miserable,

534
00:34:30,040 --> 00:34:32,440
Speaker 1: and to turn us against each other. You know, the

535
00:34:32,600 --> 00:34:35,319
Speaker 1: left's answer is not to stand up and say we

536
00:34:35,440 --> 00:34:38,400
Speaker 1: have a better future for America. They're not telling me

537
00:34:38,440 --> 00:34:42,480
Speaker 1: things are going to be better for me or you. No, Republicans,

538
00:34:43,800 --> 00:34:46,840
Speaker 1: Republicans who earn a paycheck and obey the laws and

539
00:34:47,320 --> 00:34:50,480
Speaker 1: try to live their lives responsibly. No, you haven't done

540
00:34:50,560 --> 00:34:53,759
Speaker 1: enough to help those who don't obey the laws. You

541
00:34:53,800 --> 00:34:56,719
Speaker 1: haven't done enough to subsidize those who don't pay their

542
00:34:56,719 --> 00:35:00,120
Speaker 1: own bills. M They're not telling us you're lucky we

543
00:35:00,120 --> 00:35:01,920
Speaker 1: win because things will get better for you. They're saying

544
00:35:02,200 --> 00:35:06,920
Speaker 1: our constituencies they're very very rich and the very very poor,

545
00:35:06,960 --> 00:35:09,759
Speaker 1: the elites and the dependent class. That's what makes up

546
00:35:09,800 --> 00:35:15,920
Speaker 1: the Democrat Party. They they will benefit at the expense

547
00:35:16,000 --> 00:35:21,360
Speaker 1: of everybody else, just like as bostiot Fantastic Book. Bostiat

548
00:35:21,440 --> 00:35:24,400
Speaker 1: wrote in The Law, the lie that people think they

549
00:35:24,400 --> 00:35:27,240
Speaker 1: can live at the expense of every other man central

550
00:35:27,280 --> 00:35:30,800
Speaker 1: to the Democrats. Thanks for listening to The Bus Sesson

551
00:35:30,880 --> 00:35:35,640
Speaker 1: Show podcasts. Remember to subscribe on Apple Podcasts, the iHeartRadio app,

552
00:35:35,840 --> 00:35:39,879
Speaker 1: or wherever you get your podcasts. Let's hear from an

553
00:35:39,960 --> 00:35:44,160
Speaker 1: unfunny comedian about the situation in this country right now. Oh,

554
00:35:44,200 --> 00:35:47,640
Speaker 1: I got one for you, Seth Myers play clip for

555
00:35:48,400 --> 00:35:51,400
Speaker 1: Plagetti would be Dictator Trump doesn't care about the public

556
00:35:51,440 --> 00:35:54,560
Speaker 1: health response to the pandemic or preventing the deaths of

557
00:35:54,640 --> 00:35:57,800
Speaker 1: hundreds of thousands of Americans unless it benefits him personally.

558
00:35:57,880 --> 00:36:01,040
Speaker 1: That's why she hawked one mirror coal care after another,

559
00:36:01,200 --> 00:36:04,680
Speaker 1: touted by cable pundits and a pillow salesman and a

560
00:36:04,719 --> 00:36:07,360
Speaker 1: doctor who believes in demons firm. It doesn't matter that

561
00:36:07,400 --> 00:36:12,160
Speaker 1: they're crazier incompetent, just that they praised him. Doesn't care

562
00:36:12,239 --> 00:36:15,480
Speaker 1: about preventing deaths unless it benefits And this is a

563
00:36:15,600 --> 00:36:19,760
Speaker 1: common line. It's not just Seth Myers. Many people will

564
00:36:19,760 --> 00:36:25,040
Speaker 1: say this. Many people will make this claim on the left.

565
00:36:26,040 --> 00:36:28,799
Speaker 1: It's stupid. It's not a thing that intelligent people could say.

566
00:36:28,800 --> 00:36:32,280
Speaker 1: It's not a thing that emotionally healthy people could believe

567
00:36:32,600 --> 00:36:37,480
Speaker 1: is true. Because of course, preventing deaths. Just just take

568
00:36:37,600 --> 00:36:43,080
Speaker 1: their premise and work through it. Preventing deaths dramatically benefits

569
00:36:43,239 --> 00:36:47,400
Speaker 1: the president of the United States. They've created this fiction

570
00:36:47,520 --> 00:36:51,120
Speaker 1: where unless the president directly makes money off of something,

571
00:36:51,400 --> 00:36:53,960
Speaker 1: and I guess that's the only thing that benefits him.

572
00:36:54,400 --> 00:36:56,839
Speaker 1: Unless the president's making money off of something, he doesn't care.

573
00:36:57,360 --> 00:36:59,680
Speaker 1: He's the president, and he was a billionaire before he

574
00:36:59,719 --> 00:37:05,080
Speaker 1: became president. What are they talking about? If he's all

575
00:37:05,120 --> 00:37:07,279
Speaker 1: about power, if he's all about staying up it. This

576
00:37:07,320 --> 00:37:10,440
Speaker 1: is what I tried to explain to the Libs at

577
00:37:10,440 --> 00:37:13,439
Speaker 1: Bill Maher that I mentioned before. Even if you think

578
00:37:13,480 --> 00:37:18,040
Speaker 1: the president is morally sociopathic, which I do not, actually

579
00:37:18,080 --> 00:37:21,040
Speaker 1: think he's a good guy. But let's put that aside.

580
00:37:21,520 --> 00:37:25,760
Speaker 1: Even if you thought that was true, saving your people

581
00:37:25,880 --> 00:37:34,120
Speaker 1: from this virus enormously benefits your election prospects, benefits your power.

582
00:37:35,480 --> 00:37:39,320
Speaker 1: So there, it doesn't even make sense. It's kind of

583
00:37:39,360 --> 00:37:42,640
Speaker 1: like the whole Russia collusion thing. Work that one through

584
00:37:42,680 --> 00:37:45,120
Speaker 1: for a second. Okay, you're going to be in a

585
00:37:45,160 --> 00:37:48,520
Speaker 1: tight election and you're going to work with the Russians,

586
00:37:49,960 --> 00:37:55,640
Speaker 1: exposing yourself to enormous risk and including you know, criminal risk,

587
00:37:55,680 --> 00:37:59,480
Speaker 1: going to prison. You're gonna work with the Russians in

588
00:37:59,520 --> 00:38:02,279
Speaker 1: the hope that they will be able to help you

589
00:38:03,360 --> 00:38:07,040
Speaker 1: change the election result. And then the Russians at best

590
00:38:07,080 --> 00:38:09,880
Speaker 1: will have you in their pocket because they will be

591
00:38:09,880 --> 00:38:12,839
Speaker 1: able to expose this at any point during your presidency.

592
00:38:14,360 --> 00:38:19,319
Speaker 1: It's a terrible idea. It doesn't even make sense. I mean,

593
00:38:19,520 --> 00:38:25,840
Speaker 1: this would be like accusing accusing a bank robber of

594
00:38:26,520 --> 00:38:30,560
Speaker 1: targeting empty storefronts with nothing inside. Why would he do that?

595
00:38:31,920 --> 00:38:34,240
Speaker 1: Even if you think he's a bank robber. It doesn't

596
00:38:34,320 --> 00:38:39,040
Speaker 1: make any sense. The plot doesn't hold together. If this

597
00:38:39,120 --> 00:38:43,279
Speaker 1: were a movie, you'd say I'm not buying it. But

598
00:38:43,400 --> 00:38:46,400
Speaker 1: they still say this stuff doesn't care about preventing deaths,

599
00:38:46,400 --> 00:38:51,719
Speaker 1: Hawking fake cures really seth Myers. I know, first class

600
00:38:51,840 --> 00:38:55,680
Speaker 1: doctors decades in their field in New York City at

601
00:38:55,719 --> 00:39:04,520
Speaker 1: elite hospitals, who personally prescribed and or took hydroxy chloroquin themselves. Oh,

602
00:39:04,600 --> 00:39:06,600
Speaker 1: but it's a it's all about the doctor who believes

603
00:39:06,600 --> 00:39:10,240
Speaker 1: in demon sperm and and they, you know, they hate

604
00:39:10,280 --> 00:39:13,560
Speaker 1: Mike Lindell. You know why, because Mike Lindell doesn't play

605
00:39:13,600 --> 00:39:17,880
Speaker 1: their game. They hate Mike Lindell because he will sponsor

606
00:39:17,920 --> 00:39:20,640
Speaker 1: shows on the right even when the left does it's

607
00:39:20,680 --> 00:39:24,360
Speaker 1: little petty, cry baby, boycott crap. Mike doesn't pull his ads.

608
00:39:25,160 --> 00:39:27,560
Speaker 1: That's why they hate him. If we had more Mike

609
00:39:27,680 --> 00:39:32,319
Speaker 1: Lindell's we would have a more robust conservative news media

610
00:39:32,640 --> 00:39:35,960
Speaker 1: that would be able to go, you know, muzzle to muzzle,

611
00:39:36,000 --> 00:39:39,080
Speaker 1: so to speak, with the left. But no, we're out

612
00:39:39,160 --> 00:39:42,080
Speaker 1: numbered ten to one because there aren't enough people like

613
00:39:42,120 --> 00:39:44,600
Speaker 1: Mike Lindell. I mean, there are wonderful sponsors on this

614
00:39:44,640 --> 00:39:48,799
Speaker 1: show who stay with me even when sleeping giants or

615
00:39:48,840 --> 00:39:51,239
Speaker 1: medium matters you know, comes after me. They don't, they

616
00:39:51,239 --> 00:39:55,360
Speaker 1: don't budge. But Mike's company is a huge company and

617
00:39:55,600 --> 00:39:58,279
Speaker 1: he's you know, he's back Fox News shows when the

618
00:39:58,280 --> 00:40:00,799
Speaker 1: boycotts have come after them. So that's why they hate him.

619
00:40:02,200 --> 00:40:04,480
Speaker 1: Do you ever think they talk about his inspiring story?

620
00:40:04,840 --> 00:40:08,080
Speaker 1: The guy was a heroin addict and now he's running

621
00:40:08,080 --> 00:40:13,400
Speaker 1: a company worth I don't know, hundreds of millions of dollars.

622
00:40:14,280 --> 00:40:16,560
Speaker 1: But no, they don't like They don't like that because

623
00:40:16,600 --> 00:40:18,800
Speaker 1: he's not doing what they want him too. So they

624
00:40:18,880 --> 00:40:22,080
Speaker 1: hate him and they sneer at him as if they

625
00:40:22,120 --> 00:40:24,040
Speaker 1: have anything to teach the man, or anyone else for

626
00:40:24,080 --> 00:40:27,279
Speaker 1: that matter. But you have to just when you think

627
00:40:27,320 --> 00:40:29,440
Speaker 1: through these things on your own, when you spend some

628
00:40:29,560 --> 00:40:34,479
Speaker 1: time thinking through what their allegations are and what's really

629
00:40:34,520 --> 00:40:38,759
Speaker 1: going on, you'd say, even if I accept some premises

630
00:40:38,800 --> 00:40:41,200
Speaker 1: that I don't, that Trump is evil, that he's horrible,

631
00:40:41,200 --> 00:40:47,040
Speaker 1: that he's a bad person, their plan is irrational. The

632
00:40:47,160 --> 00:40:51,800
Speaker 1: plan that they attribute to Trump is irrational. The motive

633
00:40:51,920 --> 00:41:00,200
Speaker 1: that they imbute Trump with is absurd. They don't care.

634
00:41:00,000 --> 00:41:03,680
Speaker 1: They'd rather believe it. They'd rather believe it. They'd rather

635
00:41:03,719 --> 00:41:07,919
Speaker 1: believe these things. And they also think that anybody who

636
00:41:07,960 --> 00:41:09,919
Speaker 1: speaks in favor of the president, and anyone who tries

637
00:41:09,960 --> 00:41:12,799
Speaker 1: to back the president up, must also suffer from some

638
00:41:13,000 --> 00:41:18,080
Speaker 1: grave moral defect. Here's a CNN anchor. Wait, I thought

639
00:41:18,080 --> 00:41:22,920
Speaker 1: they were just journos. CNN is the worst. It really

640
00:41:22,960 --> 00:41:27,840
Speaker 1: is the worst place. Here's one of them going off

641
00:41:28,000 --> 00:41:33,279
Speaker 1: on Republican Senator Kennedy, play thirteen number two. Let me

642
00:41:33,320 --> 00:41:37,520
Speaker 1: say a word about about this infatuation in Washington with

643
00:41:37,640 --> 00:41:41,640
Speaker 1: who said what to them? I learned pretty quickly up here, Senator.

644
00:41:41,680 --> 00:41:43,680
Speaker 1: I'm sorry, I'm not going to let you do this. Okay,

645
00:41:43,719 --> 00:41:47,120
Speaker 1: this is I understand there's so much politics right now.

646
00:41:47,120 --> 00:41:49,520
Speaker 1: We're two months away from an election, but this is

647
00:41:49,640 --> 00:41:52,960
Speaker 1: life and death. You have five thousand people that have

648
00:41:53,040 --> 00:41:58,239
Speaker 1: died in in Louisiana from coronavirus. Republicans are reluctant as

649
00:41:58,280 --> 00:42:00,960
Speaker 1: you are now to ever criticize this president. But as

650
00:42:00,960 --> 00:42:04,520
Speaker 1: a human being, how can you be okay with us? Well,

651
00:42:04,560 --> 00:42:07,560
Speaker 1: if I could finish my answer, I have learned in Washington,

652
00:42:07,680 --> 00:42:12,000
Speaker 1: d C. I'm sort of existential or sarsery in about

653
00:42:12,040 --> 00:42:15,879
Speaker 1: Washington DC. To be is to act. You learn pretty

654
00:42:15,960 --> 00:42:18,800
Speaker 1: quickly not to judge people up here by what they say.

655
00:42:19,040 --> 00:42:21,360
Speaker 1: You have to judge them by what they do. And

656
00:42:21,520 --> 00:42:24,080
Speaker 1: all I can tell you, Pamela, is what my personal

657
00:42:24,080 --> 00:42:28,520
Speaker 1: experience has been and that is that this administration has

658
00:42:28,600 --> 00:42:32,719
Speaker 1: been very responsive early on. We were the first ones

659
00:42:32,800 --> 00:42:36,319
Speaker 1: hit after New York, both to the coronavirus and to

660
00:42:36,400 --> 00:42:39,680
Speaker 1: the damage that we've done to our economy. Now I

661
00:42:39,760 --> 00:42:44,279
Speaker 1: understand some people disagree with that, but that's honestly my experience.

662
00:42:46,640 --> 00:42:50,080
Speaker 1: Why you moral monster, won't you play the game that

663
00:42:50,160 --> 00:42:55,080
Speaker 1: we insist you play at CNN care about lives? You

664
00:42:55,120 --> 00:42:58,279
Speaker 1: should trash Trump because that's what that's all they do

665
00:42:58,280 --> 00:43:04,040
Speaker 1: at CNN all day long. It's unhealthy. It's unhealthy. This fixation.

666
00:43:04,880 --> 00:43:09,480
Speaker 1: It really is like like OCD, obsessive compulsive disorder, rumination

667
00:43:10,040 --> 00:43:14,080
Speaker 1: all around Donald Trump. That's why the Libs are suffering

668
00:43:14,160 --> 00:43:17,320
Speaker 1: from what you'd have to see as a mental illness.

669
00:43:17,719 --> 00:43:21,480
Speaker 1: There's something wrong with them. Trump arrangement syndrome of we

670
00:43:21,520 --> 00:43:25,000
Speaker 1: should actually clinically designate this, we should have people study this.

671
00:43:26,000 --> 00:43:32,080
Speaker 1: It's just not that interesting. Okay. The President hasn't ruined

672
00:43:32,280 --> 00:43:36,400
Speaker 1: all the lives of all these Democrats. The COVID virus

673
00:43:36,400 --> 00:43:38,239
Speaker 1: has gone all over the world. People have had it

674
00:43:38,320 --> 00:43:40,960
Speaker 1: all over the world. That's killed more people per capita

675
00:43:41,040 --> 00:43:44,680
Speaker 1: in many large industrial countries compared to the United States.

676
00:43:44,880 --> 00:43:47,840
Speaker 1: So this isn't not not everyone here has died from COVID,

677
00:43:47,880 --> 00:43:50,480
Speaker 1: despite what the Libs want to believe, because Donald Trump

678
00:43:50,560 --> 00:43:54,440
Speaker 1: is so evil and mean and bad. But they won't

679
00:43:55,480 --> 00:43:59,840
Speaker 1: They won't see what is reasonable, they won't see what's true.

680
00:44:00,200 --> 00:44:02,080
Speaker 1: I don't know if they even can. It feels like

681
00:44:02,160 --> 00:44:06,719
Speaker 1: there's some misfiring of the synapses inside their cortex, you know.

682
00:44:06,760 --> 00:44:10,279
Speaker 1: It feels like there's something going on that's just not

683
00:44:10,360 --> 00:44:13,800
Speaker 1: adding up for them, and that in that sense, I

684
00:44:15,040 --> 00:44:18,680
Speaker 1: do worry. I do have concerns about whether the left

685
00:44:18,760 --> 00:44:22,440
Speaker 1: is emotionally healthy enough to withstand. I mean, they're not

686
00:44:22,480 --> 00:44:24,560
Speaker 1: going to take it gracefully. They're going to try to cheat.

687
00:44:24,880 --> 00:44:26,879
Speaker 1: They might even try a coup of some kind. They've

688
00:44:26,880 --> 00:44:31,480
Speaker 1: already tried soft coup attempts against the president. But I

689
00:44:31,920 --> 00:44:33,880
Speaker 1: wonder what they're going to do. I wonder how many

690
00:44:33,920 --> 00:44:36,000
Speaker 1: of them think that they really are, maybe this time

691
00:44:36,400 --> 00:44:39,080
Speaker 1: going to flee to Canada. They always promised to, they

692
00:44:39,120 --> 00:44:42,799
Speaker 1: never do. Can they handle living in Trump's America for

693
00:44:42,800 --> 00:44:46,000
Speaker 1: four more years? If it bothers them so much, why

694
00:44:46,000 --> 00:44:48,920
Speaker 1: not just tune it out and let governors like Newsom

695
00:44:48,920 --> 00:44:51,839
Speaker 1: and Cuomo actually ruin their day to day lives by

696
00:44:51,920 --> 00:44:54,080
Speaker 1: making sure there's not an all electricity. The taxes are

697
00:44:54,080 --> 00:44:57,080
Speaker 1: too high, the streets are too dirty, the cops are undermined.

698
00:44:57,160 --> 00:45:00,560
Speaker 1: You know, that's all not from Trump, that's from Democrats

699
00:45:00,600 --> 00:45:04,200
Speaker 1: that Democrats are electing. We want to talk about ruining

700
00:45:04,239 --> 00:45:06,200
Speaker 1: your day to day and putting you in real jeopardy

701
00:45:06,239 --> 00:45:13,560
Speaker 1: and hurting your future, making your current existence less safe,

702
00:45:13,680 --> 00:45:17,640
Speaker 1: less prosperous, and less joyful than it could be. Look

703
00:45:17,680 --> 00:45:21,520
Speaker 1: to the state level, look to these blue governed hell

704
00:45:21,600 --> 00:45:25,919
Speaker 1: holes that are hemorrhaging people. And those of you listening

705
00:45:25,920 --> 00:45:30,080
Speaker 1: to this right now in Texas and Florida and Tennessee

706
00:45:30,160 --> 00:45:35,080
Speaker 1: and from what I'm told North Carolina and Montana, this

707
00:45:35,200 --> 00:45:38,040
Speaker 1: is your problem too, because guess where all the hemorrhaging

708
00:45:38,160 --> 00:45:44,080
Speaker 1: is flowing to. You're in the freedom. This is the

709
00:45:44,200 --> 00:45:54,440
Speaker 1: Buck Sex and Show podcast. The Sturgis Motorcycle Rally was

710
00:45:54,480 --> 00:45:59,480
Speaker 1: a super spreader event, they say, a super spreader event.

711
00:45:59,560 --> 00:46:04,200
Speaker 1: This was in South Dakota back in August, and there

712
00:46:04,200 --> 00:46:07,520
Speaker 1: are stories out there that are now claiming two hundred

713
00:46:07,520 --> 00:46:11,960
Speaker 1: and sixty six thousand, seven hundred ninety six cases of

714
00:46:12,040 --> 00:46:20,080
Speaker 1: COVID nineteen are directly attributable to the Sturgis Motorcycle rally

715
00:46:20,680 --> 00:46:26,120
Speaker 1: in South Dakota. Yahoo News here says it's a super

716
00:46:26,200 --> 00:46:29,959
Speaker 1: spread er event. Worst case scenarios at rally could link

717
00:46:30,000 --> 00:46:33,560
Speaker 1: event just two hundred and sixty six thousand cases. Study

718
00:46:33,719 --> 00:46:39,080
Speaker 1: finds that was in the Washington Post. Lots of these stories,

719
00:46:40,440 --> 00:46:44,840
Speaker 1: lots of these stories. But guess what, it's all crap.

720
00:46:45,920 --> 00:46:50,359
Speaker 1: It's all nonsense. It's a bunch of economists libs who

721
00:46:50,440 --> 00:46:55,000
Speaker 1: got together and figured, well, let's just assume that anywhere

722
00:46:55,040 --> 00:46:59,759
Speaker 1: where these people traveled where there was more COVID are

723
00:47:00,160 --> 00:47:02,320
Speaker 1: is where there was more COVID, not individual infections that

724
00:47:02,360 --> 00:47:04,160
Speaker 1: they can actually trace. Just you know, if you went

725
00:47:04,200 --> 00:47:05,880
Speaker 1: back to such and such a place and then there

726
00:47:05,880 --> 00:47:08,319
Speaker 1: were more COVID infections happening there, they just added it

727
00:47:08,360 --> 00:47:15,840
Speaker 1: all up. It is completely outrageous. But it's it's useful

728
00:47:15,880 --> 00:47:17,440
Speaker 1: too that they do this, because they show us what

729
00:47:17,480 --> 00:47:20,080
Speaker 1: a bunch of frauds they are. The libs in the

730
00:47:20,239 --> 00:47:22,680
Speaker 1: expert class, in this case economist who if you want

731
00:47:22,680 --> 00:47:25,560
Speaker 1: to find out something that's useless, asking economist a question,

732
00:47:27,120 --> 00:47:29,880
Speaker 1: twelve point two billion dollars, they say, at costs in

733
00:47:29,880 --> 00:47:33,640
Speaker 1: public health. So this this motorcycle rally, which you know

734
00:47:33,640 --> 00:47:39,640
Speaker 1: it's motorcycles. I'm assuming it's mostly outdoors. This caused enormous damage,

735
00:47:41,400 --> 00:47:46,880
Speaker 1: but it didn't. And in fact, even some Libs have

736
00:47:47,040 --> 00:47:50,320
Speaker 1: had to admit, yeah, we're not going to be able

737
00:47:50,360 --> 00:47:53,239
Speaker 1: to make this one stick. We're not going to be

738
00:47:53,280 --> 00:47:56,960
Speaker 1: able to continue with this one. You know, they'd like.

739
00:47:57,080 --> 00:47:59,400
Speaker 1: This is back in August seventh, and they're saying that

740
00:47:59,480 --> 00:48:03,560
Speaker 1: because of all these attendees, they a working paper by

741
00:48:03,600 --> 00:48:07,440
Speaker 1: economists devolved Dave and his colleagues says that this led

742
00:48:07,480 --> 00:48:09,799
Speaker 1: to two hundred and sixty six, seven hundred ninety six

743
00:48:09,840 --> 00:48:13,200
Speaker 1: new cases. First of all, the specificity of that number

744
00:48:13,239 --> 00:48:18,439
Speaker 1: on its face is laughable. They have no idea how

745
00:48:18,440 --> 00:48:21,880
Speaker 1: many cases. There's no way they could trace this, but

746
00:48:21,960 --> 00:48:25,400
Speaker 1: they claim it. It was a staggering nineteen percent of

747
00:48:25,440 --> 00:48:28,200
Speaker 1: these cases over a four week period after the event.

748
00:48:28,440 --> 00:48:32,280
Speaker 1: And as I said, it cost twelve billion dollars based

749
00:48:32,320 --> 00:48:37,319
Speaker 1: on the estimate of treating a COVID patient. Okay, a

750
00:48:37,320 --> 00:48:40,359
Speaker 1: lot of social media naming and blaming over this one, right,

751
00:48:40,400 --> 00:48:43,960
Speaker 1: a lot of Libs saying, see those big, smelly, evil

752
00:48:44,080 --> 00:48:48,399
Speaker 1: motorcycle Trump supportermen were just spreading the COVID. They were

753
00:48:48,440 --> 00:48:53,000
Speaker 1: probably drinking their beer and waving their American flags on

754
00:48:53,200 --> 00:48:57,680
Speaker 1: their Harley Davidsons and just spitting COVID at each other

755
00:48:57,760 --> 00:49:02,800
Speaker 1: like like barbarians. That's pretty much what the Libs are saying.

756
00:49:03,880 --> 00:49:07,120
Speaker 1: That's pretty much their view of all of this. But

757
00:49:07,680 --> 00:49:11,440
Speaker 1: there's a big problem with it. It is really hard,

758
00:49:11,520 --> 00:49:16,640
Speaker 1: basically impossible to accurately model the spread of this virus when,

759
00:49:16,680 --> 00:49:18,800
Speaker 1: first of all, most people only spread it to one person,

760
00:49:19,280 --> 00:49:20,759
Speaker 1: and if you spread it to more than one person,

761
00:49:20,800 --> 00:49:24,640
Speaker 1: that's a very high our number. When they look at

762
00:49:24,680 --> 00:49:30,200
Speaker 1: transmissions of this, if they could that accurately describe it, well,

763
00:49:30,239 --> 00:49:32,520
Speaker 1: tell me how many people in America got infected because

764
00:49:32,520 --> 00:49:36,479
Speaker 1: of Chinese nationals arriving here. Do we have a number

765
00:49:36,520 --> 00:49:37,600
Speaker 1: for that? No, we don't have a No, we have

766
00:49:37,640 --> 00:49:43,040
Speaker 1: no idea. We have no idea. They also don't account

767
00:49:43,080 --> 00:49:47,919
Speaker 1: for things like school reopening. They also don't account I mean, look,

768
00:49:47,920 --> 00:49:54,279
Speaker 1: they account for basically nothing, nothing going on here. I

769
00:49:54,320 --> 00:49:58,160
Speaker 1: mean even in Slate, say even Slate, which is left wing,

770
00:49:58,280 --> 00:50:01,200
Speaker 1: says it relies on strongest sumptions that rarely hold in

771
00:50:01,239 --> 00:50:03,799
Speaker 1: the real world. For one thing, there are many other

772
00:50:03,800 --> 00:50:07,239
Speaker 1: differences between counties full of bike rally fans versus those

773
00:50:07,239 --> 00:50:10,560
Speaker 1: with none, and therein lies the challenge of creating a

774
00:50:10,560 --> 00:50:14,200
Speaker 1: good counterfactual for the implied experiment. How to compare trends

775
00:50:14,200 --> 00:50:16,520
Speaker 1: and counties that are different on many geographic, social, and

776
00:50:16,560 --> 00:50:20,680
Speaker 1: economic dimensions. The parallel trends assumption assumes that every county

777
00:50:20,719 --> 00:50:23,440
Speaker 1: was on a similar trajectory and the only difference was

778
00:50:23,520 --> 00:50:26,399
Speaker 1: the number of attendees sent to the Sturgis rally. When

779
00:50:26,400 --> 00:50:30,520
Speaker 1: this parallel trends assumption is violated, the resulting estimates are

780
00:50:30,560 --> 00:50:33,520
Speaker 1: not just off by a little, they can be completely wrong.

781
00:50:35,800 --> 00:50:39,680
Speaker 1: The burden of proof for these assumptions is very high.

782
00:50:39,800 --> 00:50:42,680
Speaker 1: More critically, the paper assumes the noise in COVID nineteen

783
00:50:42,719 --> 00:50:46,040
Speaker 1: cases from different counties averages out over time, and thus

784
00:50:46,040 --> 00:50:49,040
Speaker 1: comparing the trends is valid. We all probably know by

785
00:50:49,080 --> 00:50:52,600
Speaker 1: now that epidemic curves are not predictable and are heavily

786
00:50:52,640 --> 00:50:55,920
Speaker 1: dependent on the luck of floating wildfire embers, so to speak.

787
00:50:56,440 --> 00:50:58,680
Speaker 1: This approach may work for changes in the uptake of

788
00:50:58,719 --> 00:51:01,680
Speaker 1: state benefits or other out comes traditionally analyzed by difference

789
00:51:01,719 --> 00:51:05,680
Speaker 1: indifference designs, but not for the outcomes that are serially correlated,

790
00:51:05,719 --> 00:51:11,919
Speaker 1: like wildfire, wildfires or epidemics. Thus, this idea that even

791
00:51:11,960 --> 00:51:15,680
Speaker 1: if the parallel trends assumption held, differences in COVID nineteen

792
00:51:15,680 --> 00:51:18,839
Speaker 1: cases across counties are fully attributable to the rally. It's

793
00:51:18,880 --> 00:51:23,920
Speaker 1: a strong ask. The reality is that somewhere between zero

794
00:51:23,960 --> 00:51:26,720
Speaker 1: and four hundred and fifty thousand infections may have resulted.

795
00:51:26,760 --> 00:51:30,960
Speaker 1: But that's not a good headline end quote. Yeah, this

796
00:51:31,040 --> 00:51:34,359
Speaker 1: is a giant guess from a bunch of economists. There

797
00:51:34,400 --> 00:51:37,680
Speaker 1: are no crap. And to say that there are assumptions,

798
00:51:37,680 --> 00:51:39,640
Speaker 1: I mean, they're just this is just plugging. This is

799
00:51:39,680 --> 00:51:42,640
Speaker 1: garbage in, garbage out, plugging in a bunch of numbers

800
00:51:42,640 --> 00:51:45,200
Speaker 1: that they plug in. Okay, they're all these attendees, and

801
00:51:45,280 --> 00:51:47,720
Speaker 1: oh gosh, look in the whole area around North Dakota.

802
00:51:47,719 --> 00:51:49,279
Speaker 1: There's been a whole lot of COVID cases in the

803
00:51:49,360 --> 00:51:51,640
Speaker 1: month after this. Well was it at the beginning of

804
00:51:51,640 --> 00:51:55,719
Speaker 1: a surgeon cases in the state anyway. I mean to

805
00:51:55,840 --> 00:52:01,640
Speaker 1: call this sloppy analysis is an insult to loppiness. And

806
00:52:01,960 --> 00:52:05,640
Speaker 1: everybody at some level kind of knows it. But it

807
00:52:05,760 --> 00:52:09,960
Speaker 1: was too delicious for the media to ask any questions.

808
00:52:10,320 --> 00:52:13,399
Speaker 1: They say, oh, we're just reporting on it, man, it's

809
00:52:13,440 --> 00:52:23,520
Speaker 1: just a study. Yeah, absolute crap, absolute nonsense, But it

810
00:52:23,560 --> 00:52:25,760
Speaker 1: was reported by the largest news outlets in the country.

811
00:52:25,760 --> 00:52:29,640
Speaker 1: Why is that? And then there's the other part of

812
00:52:29,680 --> 00:52:34,920
Speaker 1: this too. Oh so the sturgist rally can spread COVID,

813
00:52:35,239 --> 00:52:39,879
Speaker 1: but BLM protests can't. Huh Did these economists run their

814
00:52:39,880 --> 00:52:41,759
Speaker 1: model on the BLM protests that have been going on

815
00:52:41,840 --> 00:52:45,560
Speaker 1: for months all across the country. No, they didn't. Why

816
00:52:45,719 --> 00:52:50,719
Speaker 1: is that? Oh gosh, I don't know. Maybe because they're

817
00:52:50,719 --> 00:53:01,879
Speaker 1: a bunch of libs luxuriating in confirmation bias. Unbelievable, unbelievable. Oh,

818
00:53:01,920 --> 00:53:04,120
Speaker 1: but they just wanted to. They wanted to come up

819
00:53:04,120 --> 00:53:08,040
Speaker 1: with some explanation for this. They say they found the

820
00:53:08,080 --> 00:53:10,480
Speaker 1: cases increased by three point six at three point nine

821
00:53:10,520 --> 00:53:12,760
Speaker 1: per one thousand and South Dakota and the three weeks

822
00:53:12,760 --> 00:53:17,680
Speaker 1: after the rally. To put this number in perspective, New

823
00:53:17,760 --> 00:53:20,400
Speaker 1: York State has recorded as many cases in the last week.

824
00:53:20,520 --> 00:53:24,480
Speaker 1: Even with its lockdown rules, South Dakota still has the

825
00:53:24,520 --> 00:53:26,800
Speaker 1: among the lowest per capita death rates in the country

826
00:53:27,080 --> 00:53:29,640
Speaker 1: and fewer deaths and cases per capita than its neighbors

827
00:53:29,719 --> 00:53:35,160
Speaker 1: Nebraska and North Dakota. Folks, this whole thing, the entire

828
00:53:35,239 --> 00:53:39,399
Speaker 1: study is a preposterous joke. That any intelligent person sees

829
00:53:39,400 --> 00:53:41,480
Speaker 1: and rips apart. But the libs all reported on it

830
00:53:41,520 --> 00:53:45,160
Speaker 1: because they liked it. Thanks for listening to the Busts

831
00:53:45,239 --> 00:53:49,080
Speaker 1: and show podcasts. Remember to subscribe on Apple podcasts, the

832
00:53:49,120 --> 00:53:54,959
Speaker 1: iHeartRadio app, or wherever you get your podcasts. Cancel Netflix.

833
00:53:55,360 --> 00:53:59,960
Speaker 1: It's trending on social media. It's become a major national conversation.

834
00:54:00,880 --> 00:54:03,800
Speaker 1: What did Netflix do? For most of us? It's been

835
00:54:04,239 --> 00:54:08,600
Speaker 1: what we watch while we stuff all kinds of chicken

836
00:54:08,680 --> 00:54:11,640
Speaker 1: tenders and mac and cheese and ice cream to excess

837
00:54:11,640 --> 00:54:15,200
Speaker 1: in our mouths during this COVID pandemic. But they make

838
00:54:15,239 --> 00:54:18,480
Speaker 1: all kinds of programming decisions, and sometimes those decisions, well,

839
00:54:19,040 --> 00:54:23,640
Speaker 1: to call it inexplicable might be far too generous. Other words,

840
00:54:23,640 --> 00:54:26,799
Speaker 1: you could certainly use. Tiana Lowe is with us now

841
00:54:26,880 --> 00:54:31,720
Speaker 1: to discuss. She is a commentary writer at The Washington Examiner. Tianna,

842
00:54:32,719 --> 00:54:37,640
Speaker 1: thanks for joining. What is qtis on Netflix? And why

843
00:54:37,760 --> 00:54:42,320
Speaker 1: is everyone on the right, at least including me shocked?

844
00:54:44,600 --> 00:54:48,120
Speaker 1: So I watched quts so that you all don't have to,

845
00:54:48,360 --> 00:54:50,320
Speaker 1: and fuck, what I can tell you is they currently

846
00:54:50,360 --> 00:54:54,239
Speaker 1: need a lobotany at his zanex it was easily the

847
00:54:54,520 --> 00:54:58,160
Speaker 1: most disgusting piece of pop culture. I have ever seen.

848
00:55:00,040 --> 00:55:02,600
Speaker 1: What is it? Folks don't even necessarily know. Tell them, well,

849
00:55:02,640 --> 00:55:06,800
Speaker 1: what are you seeing? So it won the Best Director

850
00:55:06,880 --> 00:55:11,040
Speaker 1: word at sun Dance. It's a French film, directed and

851
00:55:11,120 --> 00:55:17,960
Speaker 1: written and about a French Muslim girl of Senegalese origin.

852
00:55:18,880 --> 00:55:26,520
Speaker 1: And it is the sort of French godless leftist dichotomy

853
00:55:26,960 --> 00:55:32,719
Speaker 1: of a hyper sacred religious extremist form of sexism and

854
00:55:32,800 --> 00:55:37,560
Speaker 1: then also a secular anti religious form of sexism. It

855
00:55:37,680 --> 00:55:40,760
Speaker 1: is about this girl group. They're all eleven year old girls,

856
00:55:40,880 --> 00:55:44,400
Speaker 1: prepuvescent girls who form a dance team. But this is

857
00:55:44,440 --> 00:55:47,160
Speaker 1: not a it's not ballet, it's not jazz. This is

858
00:55:47,400 --> 00:55:50,399
Speaker 1: the kind of torking and outfits that would not look

859
00:55:50,440 --> 00:55:54,480
Speaker 1: out of place in a Cardi B music video. And

860
00:55:54,719 --> 00:55:59,600
Speaker 1: basically the plot is that religion is bad and sexist

861
00:55:59,800 --> 00:56:05,160
Speaker 1: and that it's empowering to be eleven dancing sexually for adults.

862
00:56:06,160 --> 00:56:09,279
Speaker 1: Now it's all over social media, so if you go

863
00:56:09,320 --> 00:56:11,560
Speaker 1: on now on Twitter, for example, for the folks listening,

864
00:56:11,920 --> 00:56:15,279
Speaker 1: you'll probably see some of these clips. And I've got

865
00:56:15,280 --> 00:56:21,000
Speaker 1: to say, the dance moves, I actually think that that

866
00:56:21,360 --> 00:56:26,560
Speaker 1: much considerably older women in a dance program for example,

867
00:56:26,560 --> 00:56:29,840
Speaker 1: like high school age girls would be told you can't

868
00:56:29,840 --> 00:56:35,359
Speaker 1: do this, these girls are eleven. Yeah, they're eleven. And

869
00:56:35,880 --> 00:56:38,320
Speaker 1: you know, I think that we'd used to seeing coming

870
00:56:38,360 --> 00:56:41,719
Speaker 1: of age stories where you have sixteen year olds who

871
00:56:41,719 --> 00:56:44,759
Speaker 1: are actually portrayed by eighteen year olds or twenty year olds,

872
00:56:44,800 --> 00:56:47,080
Speaker 1: and in a way that makes some of these movies

873
00:56:47,200 --> 00:56:50,680
Speaker 1: less uncomfortable. You have stuffed like Game of Thrones where

874
00:56:50,719 --> 00:56:55,560
Speaker 1: they try and accurately depict sexual objectification or rape, and

875
00:56:55,640 --> 00:56:57,560
Speaker 1: they came under a lot of fire for that. The

876
00:56:57,640 --> 00:57:00,840
Speaker 1: thing that makes this film so creepy and weird is

877
00:57:00,840 --> 00:57:05,480
Speaker 1: that there is this tacit acknowledgement that they're pushing the line,

878
00:57:06,200 --> 00:57:09,160
Speaker 1: but they're luxuriating and doing it. You know, there have

879
00:57:09,200 --> 00:57:11,960
Speaker 1: been plenty of good films that have come out about

880
00:57:11,960 --> 00:57:15,759
Speaker 1: the very real problem with childhood sexual assault. But the

881
00:57:15,800 --> 00:57:18,360
Speaker 1: way that this is filmed, it does not treat it

882
00:57:18,840 --> 00:57:21,320
Speaker 1: like objectification is a bad thing. But I think it's

883
00:57:21,360 --> 00:57:24,280
Speaker 1: the acknowledgement that they Oh, no, I'm sorry, I was

884
00:57:24,280 --> 00:57:28,240
Speaker 1: just gonna say, and this is a who's watching this?

885
00:57:28,360 --> 00:57:31,400
Speaker 1: I don't mean the Netflix show because obviously you people

886
00:57:31,400 --> 00:57:33,919
Speaker 1: are watching it now to understand what's being promoted within

887
00:57:33,920 --> 00:57:36,960
Speaker 1: our culture. But there are adults. I mean, I'm assuming

888
00:57:37,240 --> 00:57:39,920
Speaker 1: are their parents showing up to these things or how

889
00:57:40,200 --> 00:57:45,080
Speaker 1: does that piece of this dance troop work? So okay,

890
00:57:45,240 --> 00:57:49,840
Speaker 1: mind you, this movie has a ninety percent fresh reading

891
00:57:49,840 --> 00:57:54,160
Speaker 1: on Rotten Tomatoes from critics. It has five percent from users,

892
00:57:54,720 --> 00:57:56,800
Speaker 1: So there's just a mat And you know the New

893
00:57:56,880 --> 00:58:01,840
Speaker 1: York Arona piece where they called this movie revelatory and

894
00:58:01,880 --> 00:58:05,720
Speaker 1: they were lauding it for this directorial debut, saying that, oh,

895
00:58:05,800 --> 00:58:09,320
Speaker 1: the right is triggered because they cannot handle the idea

896
00:58:09,360 --> 00:58:13,240
Speaker 1: of women of color reclaiming the narrative of what it

897
00:58:13,280 --> 00:58:17,240
Speaker 1: means to be French. No, we can't stand this because

898
00:58:17,400 --> 00:58:19,680
Speaker 1: it's about two and a half degrees away from being

899
00:58:20,000 --> 00:58:25,720
Speaker 1: softcore child pornography. I mean, is this tantamount to like

900
00:58:26,160 --> 00:58:30,880
Speaker 1: a pedophile's you know, entry level video? I mean, how

901
00:58:30,920 --> 00:58:33,920
Speaker 1: bad is the stuff you see in the movie. Oh,

902
00:58:34,000 --> 00:58:36,960
Speaker 1: it's it's pretty close to that. I would say. It's

903
00:58:37,040 --> 00:58:40,800
Speaker 1: not just the dance scenes. There are scenes where you're

904
00:58:40,840 --> 00:58:45,720
Speaker 1: watching eleven year old girls view stuff that involves nudity

905
00:58:45,800 --> 00:58:50,919
Speaker 1: and borders on actual pornography. And just like the deliciousness

906
00:58:50,920 --> 00:58:54,280
Speaker 1: with which it's done. There have been plenty of movies

907
00:58:54,560 --> 00:58:59,800
Speaker 1: depicting childhood romances and all and coming of age. This

908
00:59:00,120 --> 00:59:03,320
Speaker 1: is not that this is performative and it's meant for adults.

909
00:59:03,400 --> 00:59:06,280
Speaker 1: This is not a movie that has meant for children. Now,

910
00:59:06,360 --> 00:59:08,200
Speaker 1: why do you think, and we're speaking of Tin Aloe

911
00:59:08,200 --> 00:59:11,360
Speaker 1: of the Washington Examiner, why do you think, Tina, that

912
00:59:11,520 --> 00:59:15,000
Speaker 1: the critics what do they see? Because I just saw

913
00:59:15,040 --> 00:59:17,440
Speaker 1: some of the clips on Twitter that people are sending

914
00:59:17,480 --> 00:59:20,280
Speaker 1: around and saying, look at how grosses is, and I like, look,

915
00:59:20,360 --> 00:59:22,400
Speaker 1: I watch Game of Thrones. I like to think that

916
00:59:22,720 --> 00:59:25,560
Speaker 1: I'm not a I'm not one of the more prudish

917
00:59:25,640 --> 00:59:29,360
Speaker 1: conservatives that that does this for a living, you know, commentary.

918
00:59:30,480 --> 00:59:32,800
Speaker 1: I saw this stuff on the video clips and I

919
00:59:32,840 --> 00:59:36,400
Speaker 1: was like, this is this is some weirdo, unacceptable stuff

920
00:59:36,400 --> 00:59:41,640
Speaker 1: going on here? Why do the critics like it? So?

921
00:59:42,160 --> 00:59:45,160
Speaker 1: Mind you, there is a pretty long tradition in French

922
00:59:45,240 --> 00:59:49,760
Speaker 1: cinema and art, I mean in living memory. Simone de

923
00:59:49,840 --> 00:59:53,800
Speaker 1: Beauvoir and Jean Paul Soft they all signed letters petitioning

924
00:59:53,840 --> 00:59:57,640
Speaker 1: the French government to not raise the age of consent

925
00:59:57,840 --> 01:00:00,680
Speaker 1: so that way fourteen year olds can't have sex with adults.

926
01:00:00,960 --> 01:00:04,080
Speaker 1: It is a long tradition in the French intelligencia to

927
01:00:04,400 --> 01:00:08,880
Speaker 1: sexualized children as some sort of part of postliberal world order.

928
01:00:09,400 --> 01:00:14,320
Speaker 1: So that is largely, thank god, been purged from a

929
01:00:14,320 --> 01:00:18,200
Speaker 1: lot of the cinematic world. And for instance, a film

930
01:00:18,240 --> 01:00:22,040
Speaker 1: like like Louis Mel's Pretty Baby, which was Brooke Shields's debut,

931
01:00:22,080 --> 01:00:25,000
Speaker 1: in which he depicted a twelve year old prostitute who

932
01:00:25,040 --> 01:00:28,280
Speaker 1: had very explicit sex scenes. Something like that I don't

933
01:00:28,320 --> 01:00:32,920
Speaker 1: think would be ever made state side today. But still

934
01:00:33,040 --> 01:00:38,080
Speaker 1: there is an elite fascination with the idea that children

935
01:00:38,080 --> 01:00:40,480
Speaker 1: are I mean, we're seeing this in California where they

936
01:00:40,560 --> 01:00:44,040
Speaker 1: have a state Senate bill trying to make it so

937
01:00:44,160 --> 01:00:48,640
Speaker 1: that way if a man has a same sex sexual

938
01:00:48,760 --> 01:00:51,920
Speaker 1: encounter with a child, so long as they're within ten

939
01:00:52,000 --> 01:00:54,400
Speaker 1: years of age between each other, it doesn't have to

940
01:00:54,440 --> 01:00:58,560
Speaker 1: be tried as an outright statutory rate. So this is

941
01:00:58,600 --> 01:01:01,880
Speaker 1: still sort of persisting. This is the quiet part of

942
01:01:01,880 --> 01:01:04,240
Speaker 1: the meet too movement that doesn't get said out loud

943
01:01:04,280 --> 01:01:07,480
Speaker 1: because children cannot vouch for those elves. People have been

944
01:01:07,480 --> 01:01:11,160
Speaker 1: complaining on the right about drag Queen Story Hour for

945
01:01:11,360 --> 01:01:13,680
Speaker 1: a while now, going back and think a couple of years,

946
01:01:14,400 --> 01:01:17,120
Speaker 1: and they say, it's a slippery slope. Guys. When you

947
01:01:17,240 --> 01:01:20,400
Speaker 1: got Drag Queen Story Hour with little kids, you know,

948
01:01:20,440 --> 01:01:22,520
Speaker 1: little kids are being exposed to things that they can

949
01:01:22,680 --> 01:01:27,280
Speaker 1: understand that they should be protected from. Is there now

950
01:01:27,360 --> 01:01:30,800
Speaker 1: just you think an effort underway? You know, And it's

951
01:01:30,840 --> 01:01:32,720
Speaker 1: tough to say when you're talking about things like an effort,

952
01:01:32,760 --> 01:01:35,840
Speaker 1: who's responsible for it? Well, we're seeing things like this movie,

953
01:01:35,880 --> 01:01:37,800
Speaker 1: like this movie that we're talking or is there a show,

954
01:01:37,880 --> 01:01:40,520
Speaker 1: movie whatever that we're talking about. It's a movie, Get

955
01:01:40,560 --> 01:01:47,360
Speaker 1: One Sundance. Are they trying to normalize underage sexuality? Is that?

956
01:01:47,600 --> 01:01:50,000
Speaker 1: Is that what the left is doing? What's the goal

957
01:01:50,120 --> 01:01:54,160
Speaker 1: as you see it? I don't know if this is

958
01:01:54,200 --> 01:01:57,240
Speaker 1: a new push so much as it is the Internet

959
01:01:57,280 --> 01:02:00,240
Speaker 1: has made it a lot easier to expose these things

960
01:02:00,280 --> 01:02:03,680
Speaker 1: when they happen. If anything, it's probably clear that we're

961
01:02:03,680 --> 01:02:08,280
Speaker 1: making a lot of cultural progress with regards to cultural

962
01:02:08,320 --> 01:02:12,960
Speaker 1: American values and Hollywood. We are seeing, finally a pretty

963
01:02:13,000 --> 01:02:17,200
Speaker 1: popular projection of Disney's Mulan, which was filmed in Xinjiang

964
01:02:17,560 --> 01:02:21,440
Speaker 1: and which openly capitalized on the oppression of leader Muslims.

965
01:02:22,920 --> 01:02:25,760
Speaker 1: With regards to the Drag Queen Story Hour, I mean,

966
01:02:25,800 --> 01:02:28,280
Speaker 1: I think we're probably making a lot more progress when

967
01:02:28,280 --> 01:02:34,000
Speaker 1: it comes to stigmatizing the sexualization of children from thirty

968
01:02:34,040 --> 01:02:36,760
Speaker 1: forty years ago. But we just now the Internet where

969
01:02:36,800 --> 01:02:39,640
Speaker 1: everything is fast and it is free, So we are

970
01:02:39,680 --> 01:02:43,400
Speaker 1: a lot and maybe it's bad to call it progress,

971
01:02:43,720 --> 01:02:45,520
Speaker 1: but it is what it is. It's probably now more

972
01:02:45,560 --> 01:02:49,600
Speaker 1: stigmatized now to accept some of these cultural acts, and

973
01:02:49,680 --> 01:02:53,479
Speaker 1: it was previously the main concern now really just comes

974
01:02:53,520 --> 01:02:56,720
Speaker 1: to parenting. How do you ensure that your children when

975
01:02:56,840 --> 01:02:59,000
Speaker 1: they have a phone, they have access to the world.

976
01:02:59,160 --> 01:03:01,560
Speaker 1: How do you parent? Right? So? Wait, they aren't exposed

977
01:03:01,560 --> 01:03:04,760
Speaker 1: to this? Do you gonna low at the Washington Examiner?

978
01:03:04,800 --> 01:03:07,880
Speaker 1: T you know you're writing on this right? Yes? I

979
01:03:07,920 --> 01:03:10,040
Speaker 1: am peace will be yet today? Check it out Washington

980
01:03:10,040 --> 01:03:13,120
Speaker 1: Examiner dot com. Also, she's a contributor to the first DNA.

981
01:03:13,200 --> 01:03:18,840
Speaker 1: Thanks so much. Thanks back. You're in the Freedom Hunt.

982
01:03:19,280 --> 01:03:25,960
Speaker 1: This is the Buck Sex and Show podcast. Why would

983
01:03:26,120 --> 01:03:32,760
Speaker 1: Portland ban facial recognition? Anybody want to take a guess

984
01:03:32,760 --> 01:03:34,720
Speaker 1: at that? Well, why would the city of Portland say

985
01:03:35,200 --> 01:03:42,440
Speaker 1: no facial recognition allowed for people in public? Facial recognition

986
01:03:42,480 --> 01:03:46,680
Speaker 1: software and are using technology for this? Does that seem

987
01:03:46,720 --> 01:03:49,840
Speaker 1: pretty bizarre to you. If you're out in public, you're

988
01:03:49,840 --> 01:03:57,040
Speaker 1: already being videotaped constantly, right, there's a there's there are

989
01:03:57,040 --> 01:03:59,160
Speaker 1: cameras all over the place. And if you're in public,

990
01:03:59,240 --> 01:04:02,880
Speaker 1: you have no x dictation of privacy at least for

991
01:04:02,920 --> 01:04:05,280
Speaker 1: your presence, so people can videotape you. And if they

992
01:04:05,280 --> 01:04:07,960
Speaker 1: say there could be audio surveillance as well, there's you know,

993
01:04:08,080 --> 01:04:10,560
Speaker 1: signs for that. You can even have that going on.

994
01:04:11,520 --> 01:04:15,760
Speaker 1: So what the heck is going on here? Why would

995
01:04:15,760 --> 01:04:17,840
Speaker 1: and they're calling it on on foxnews dot com. The

996
01:04:17,960 --> 01:04:23,240
Speaker 1: first in the nation facial recognition ban for Portland, barring

997
01:04:23,280 --> 01:04:26,640
Speaker 1: the public use of this so law enforcement can't do this.

998
01:04:28,280 --> 01:04:32,640
Speaker 1: I see two immediate applications of this. It's effectively two

999
01:04:32,680 --> 01:04:36,640
Speaker 1: applications that are not allowed as a result of this,

1000
01:04:37,880 --> 01:04:41,120
Speaker 1: that are clearly showing you what the left's priorities are.

1001
01:04:42,160 --> 01:04:47,840
Speaker 1: For one, why would Portland Mayor Ted Wheeler the city

1002
01:04:47,880 --> 01:04:52,480
Speaker 1: council there are a bunch of leftist lunatics. Why would

1003
01:04:52,520 --> 01:04:59,360
Speaker 1: they take it upon themselves to ban facial recognition technology

1004
01:04:59,520 --> 01:05:06,080
Speaker 1: usage by the authorities? Oh? Because you see the reason

1005
01:05:06,240 --> 01:05:10,880
Speaker 1: the mob also known as Democrat and Biden voters. The

1006
01:05:11,000 --> 01:05:18,480
Speaker 1: reason the mob feels so safe doing what they do, destroying, attacking, burning,

1007
01:05:18,920 --> 01:05:23,360
Speaker 1: looting is because when they're in this big group, especially

1008
01:05:23,360 --> 01:05:25,520
Speaker 1: if they have masks on and they're all dressed in

1009
01:05:25,640 --> 01:05:28,840
Speaker 1: black because they're Antifa and they're in black block tactic

1010
01:05:28,880 --> 01:05:32,600
Speaker 1: and whatever, they feel like they're not going to get caught.

1011
01:05:33,920 --> 01:05:36,840
Speaker 1: They're not gonna get caught. How can you when you've

1012
01:05:36,840 --> 01:05:39,080
Speaker 1: got a video of somebody with a face fully covered

1013
01:05:39,120 --> 01:05:45,280
Speaker 1: and running around, that seems right, that seems very hard

1014
01:05:45,320 --> 01:05:49,880
Speaker 1: to do. But sometimes they show up and in fact

1015
01:05:50,920 --> 01:05:54,680
Speaker 1: they don't have face coverings on, so you can use

1016
01:05:54,800 --> 01:05:59,920
Speaker 1: facial recognition. So why wouldn't you allow the authorities to

1017
01:06:00,160 --> 01:06:02,600
Speaker 1: do that? Because even still, you know, if you have

1018
01:06:02,640 --> 01:06:04,840
Speaker 1: people out there riding and looting and doing these things,

1019
01:06:04,880 --> 01:06:06,680
Speaker 1: and even if they just pull their mask down just

1020
01:06:06,720 --> 01:06:08,880
Speaker 1: for a moment, right, you can get that facial recognition,

1021
01:06:09,720 --> 01:06:13,600
Speaker 1: you can track them down, you can hold them accountable

1022
01:06:13,680 --> 01:06:18,880
Speaker 1: for this left wing political activity. The law could be

1023
01:06:18,960 --> 01:06:22,200
Speaker 1: brought to bear. They don't want that to happen. They

1024
01:06:22,280 --> 01:06:26,320
Speaker 1: do not want the usage of facial recognition technology because

1025
01:06:26,360 --> 01:06:30,440
Speaker 1: then you don't have to have people, Oh, we're going

1026
01:06:30,520 --> 01:06:32,480
Speaker 1: to do a lineup, and how do we find this

1027
01:06:32,520 --> 01:06:34,320
Speaker 1: person and where are they and all this other stuff

1028
01:06:34,360 --> 01:06:36,960
Speaker 1: we need witnesses. No, you just have a video of

1029
01:06:37,000 --> 01:06:39,800
Speaker 1: the scene, people looting and burning and doing stuff. And

1030
01:06:39,840 --> 01:06:42,160
Speaker 1: anyone whose mask comes down or isn't wearing a mask,

1031
01:06:42,360 --> 01:06:46,000
Speaker 1: guess what. You run them through your database. If they've

1032
01:06:46,040 --> 01:06:51,200
Speaker 1: been arrested before, Pingo, one more Antifa thug, you can

1033
01:06:51,280 --> 01:06:54,720
Speaker 1: take off the streets. They don't like that. They don't

1034
01:06:54,760 --> 01:07:01,600
Speaker 1: like this unacceptable to them. Oh, why is that you're

1035
01:07:01,600 --> 01:07:04,800
Speaker 1: in a public place. Why isn't the government allowed to

1036
01:07:05,000 --> 01:07:07,880
Speaker 1: think about this? The same government authorities that want to

1037
01:07:07,920 --> 01:07:11,400
Speaker 1: make sure that you are, as in my case, going

1038
01:07:11,440 --> 01:07:15,200
Speaker 1: through a mandatory quarantine, getting text messages from the trace

1039
01:07:15,360 --> 01:07:18,000
Speaker 1: authorities telling you that you can't leave your home, making

1040
01:07:18,000 --> 01:07:20,800
Speaker 1: all these demands of you, those same people are worried

1041
01:07:20,920 --> 01:07:24,640
Speaker 1: about your right to not have anyone know your face

1042
01:07:24,720 --> 01:07:28,840
Speaker 1: who you are in public while you're looting and breaking stuff.

1043
01:07:31,640 --> 01:07:37,200
Speaker 1: The rioters right to privacy? Who knew? Who knew this

1044
01:07:37,440 --> 01:07:44,120
Speaker 1: was such a thing. Portland I swear a place that

1045
01:07:44,240 --> 01:07:46,600
Speaker 1: really could be so charming and could be so lovely,

1046
01:07:47,600 --> 01:07:49,600
Speaker 1: But it turns out it's got more than its fair

1047
01:07:49,600 --> 01:07:54,600
Speaker 1: share of looney libs. But then there's also the ban on.

1048
01:07:56,280 --> 01:07:59,440
Speaker 1: This is from Portland Mayor Ted Wheeler and City Commissioner

1049
01:07:59,480 --> 01:08:03,960
Speaker 1: Joe Anne Hardesty. They've announced this ban all city agencies

1050
01:08:05,200 --> 01:08:09,280
Speaker 1: effective right now and we'll be effective January first. For

1051
01:08:09,880 --> 01:08:17,440
Speaker 1: private businesses, why would private businesses want to use facial

1052
01:08:17,600 --> 01:08:22,559
Speaker 1: recognition technology. Well, I've got a guess. I've got an

1053
01:08:22,600 --> 01:08:28,160
Speaker 1: idea about this. My local grocery store. Right I go

1054
01:08:28,160 --> 01:08:30,000
Speaker 1: into the grocery store. You know what you can see

1055
01:08:30,040 --> 01:08:32,120
Speaker 1: if you just are at the right angle and you're

1056
01:08:32,120 --> 01:08:36,720
Speaker 1: really looking, you can see behind the MA encounter a

1057
01:08:36,840 --> 01:08:43,559
Speaker 1: number of photos of people who are known shoplifters, people

1058
01:08:43,600 --> 01:08:47,080
Speaker 1: who come into the store and steal stuff. I'm sure

1059
01:08:47,120 --> 01:08:52,120
Speaker 1: you've seen this in other stores as well. Now, think

1060
01:08:52,160 --> 01:08:54,240
Speaker 1: about what it would do for a business if someone

1061
01:08:54,840 --> 01:08:58,760
Speaker 1: is caught on camera stealing and they don't necessarily have

1062
01:08:58,840 --> 01:09:01,040
Speaker 1: to stop that person in and you know, wrestle them

1063
01:09:01,040 --> 01:09:02,760
Speaker 1: to the ground and deal with all that and oh

1064
01:09:02,800 --> 01:09:05,080
Speaker 1: my gosh, citizens arrest what are they doing? It can't

1065
01:09:05,080 --> 01:09:06,800
Speaker 1: do that, right, all this you have to deal with that,

1066
01:09:07,320 --> 01:09:08,960
Speaker 1: But at least then you know the next time the

1067
01:09:09,000 --> 01:09:11,240
Speaker 1: person comes in, you could get an alert on your

1068
01:09:11,280 --> 01:09:14,240
Speaker 1: system that you have a shoplifter. And that's a very

1069
01:09:14,240 --> 01:09:18,120
Speaker 1: that changes the dynamic a lot, doesn't it. Or even better,

1070
01:09:19,200 --> 01:09:21,400
Speaker 1: it's one thing to tell the police, hey we got

1071
01:09:21,400 --> 01:09:23,719
Speaker 1: a guy shoplifting. We got them on video. Here's his photo.

1072
01:09:24,880 --> 01:09:28,720
Speaker 1: Remember the police can't use facial recognition either. But it's

1073
01:09:28,760 --> 01:09:30,760
Speaker 1: another thing to say, hey, we ran this person in

1074
01:09:30,800 --> 01:09:34,719
Speaker 1: our software. This is the this is the individual, according

1075
01:09:34,760 --> 01:09:37,360
Speaker 1: to our software, who stole from us today. Here's here's

1076
01:09:37,360 --> 01:09:39,479
Speaker 1: their name. You know you can find their address and

1077
01:09:39,520 --> 01:09:42,800
Speaker 1: all the rest of it, right, Or we have a match,

1078
01:09:42,920 --> 01:09:44,479
Speaker 1: even we don't know the name, but we have a

1079
01:09:44,520 --> 01:09:46,920
Speaker 1: match to the person who stole a week ago. And

1080
01:09:46,920 --> 01:09:50,600
Speaker 1: then the police can start to They don't want accountability

1081
01:09:50,600 --> 01:09:54,440
Speaker 1: for this. You see, they're on the side of criminality.

1082
01:09:54,479 --> 01:10:00,120
Speaker 1: Once again. The Left has developed a very clear sympathy

1083
01:10:00,360 --> 01:10:06,040
Speaker 1: for criminal behavior, for breaking the laws, for predatory acts

1084
01:10:06,160 --> 01:10:10,280
Speaker 1: against our fellow Americans by people that think that the

1085
01:10:10,360 --> 01:10:13,479
Speaker 1: rules don't apply to them. I can't even go into

1086
01:10:13,520 --> 01:10:16,439
Speaker 1: the drug store in my corner and get any product

1087
01:10:16,439 --> 01:10:19,720
Speaker 1: that's worthwhile. It feels like I mean anything. If I

1088
01:10:19,800 --> 01:10:24,440
Speaker 1: want laundry detergent, if I want chocolate, I'm not kidding you, chocolate,

1089
01:10:25,120 --> 01:10:28,720
Speaker 1: it's under lock and key in the store. I have

1090
01:10:28,760 --> 01:10:31,160
Speaker 1: to get someone to come over and open it up

1091
01:10:31,200 --> 01:10:35,919
Speaker 1: so I can get my you know, lint, chocolate squares,

1092
01:10:37,560 --> 01:10:43,400
Speaker 1: if I want razor blades, if I want any number

1093
01:10:43,439 --> 01:10:46,360
Speaker 1: of medicine, lock and key, lock and key. You know

1094
01:10:46,360 --> 01:10:49,040
Speaker 1: they don't put the paper towel under lock and key yet. Right,

1095
01:10:49,080 --> 01:10:52,680
Speaker 1: there's some things that are bulky and not worth stealing

1096
01:10:52,720 --> 01:10:55,160
Speaker 1: in the same way, I guess. But think about what

1097
01:10:55,160 --> 01:10:57,080
Speaker 1: it would mean if everybody who comes in their nose,

1098
01:10:57,400 --> 01:11:00,360
Speaker 1: if you steal, they're gonna have your face on the

1099
01:11:00,439 --> 01:11:04,200
Speaker 1: system and they'll know if you come back. Portland doesn't

1100
01:11:04,240 --> 01:11:08,120
Speaker 1: want that. Thanks for listening to The Bus Sesson Show podcast.

1101
01:11:08,560 --> 01:11:12,360
Speaker 1: Remember to subscribe on Apple podcasts, the iHeartRadio app or

1102
01:11:12,360 --> 01:11:16,439
Speaker 1: wherever you get your podcasts. How bad could it get

1103
01:11:16,520 --> 01:11:21,439
Speaker 1: if Trump wins and Democrats just refuse to accept it.

1104
01:11:22,240 --> 01:11:25,559
Speaker 1: People going to start to throw around the word coup?

1105
01:11:25,840 --> 01:11:29,040
Speaker 1: Is that possible? Is that going to happen? We've got

1106
01:11:29,080 --> 01:11:32,400
Speaker 1: our friend David Reeboy in the mix right now. He's

1107
01:11:32,439 --> 01:11:34,200
Speaker 1: going to address that and more with us. He's a

1108
01:11:34,200 --> 01:11:37,200
Speaker 1: political commentator. David. Good to have you back on the show.

1109
01:11:37,760 --> 01:11:40,200
Speaker 1: Great to be with you. So you know, there was

1110
01:11:40,240 --> 01:11:43,000
Speaker 1: this piece what was it a Michael Lanton piece, The

1111
01:11:43,120 --> 01:11:46,600
Speaker 1: Coming Coup. Take us through this thinking, what are what

1112
01:11:46,680 --> 01:11:51,160
Speaker 1: are people political analysts, commentators on the right seeing as

1113
01:11:51,200 --> 01:11:54,679
Speaker 1: a possibility? What do you see as a possibility if

1114
01:11:54,680 --> 01:11:58,400
Speaker 1: Democrats lose this election? Sure, I think the seeds of

1115
01:11:58,439 --> 01:12:02,200
Speaker 1: this were really planted several months ago, you may even

1116
01:12:02,240 --> 01:12:06,960
Speaker 1: say several years ago, with something as seemingly innocent and

1117
01:12:07,040 --> 01:12:12,760
Speaker 1: absurd as Stacy Abrams refusing to concede in Georgia in

1118
01:12:12,800 --> 01:12:16,439
Speaker 1: the Georgia gubernatorial race, and many of us thought, hey,

1119
01:12:16,439 --> 01:12:19,599
Speaker 1: this is crazy. This is someone who's untethered from reality.

1120
01:12:20,240 --> 01:12:25,720
Speaker 1: But the purpose that little kind of mini campaign was

1121
01:12:25,880 --> 01:12:31,280
Speaker 1: to alert Democrat partisans that, you know, hey, look, the

1122
01:12:31,320 --> 01:12:35,479
Speaker 1: Republicans are disenfranchising minority voters, and they're doing it in

1123
01:12:35,479 --> 01:12:39,240
Speaker 1: a systematic way to the point where you can have

1124
01:12:39,320 --> 01:12:42,599
Speaker 1: an ill you know, where you can have many people

1125
01:12:43,479 --> 01:12:48,000
Speaker 1: establishment kind of legitimate people believing that there was actually

1126
01:12:48,080 --> 01:12:52,479
Speaker 1: stolen election in the state of Georgia. We saw it

1127
01:12:52,600 --> 01:12:59,160
Speaker 1: from the very top of Democrats, Democrat politicians all the

1128
01:12:59,160 --> 01:13:02,120
Speaker 1: way to comment haters, and it's just been conventional wisdom.

1129
01:13:02,200 --> 01:13:05,760
Speaker 1: So that that idea with Stacey Adans was to sort

1130
01:13:05,800 --> 01:13:09,800
Speaker 1: of implanted into the minds of people that yes, Republicans

1131
01:13:09,800 --> 01:13:14,280
Speaker 1: want to disenfranchise, Republicans want to steal your votes. Fast

1132
01:13:14,280 --> 01:13:20,920
Speaker 1: forward to now when after the virus, they Democrats and

1133
01:13:21,320 --> 01:13:23,960
Speaker 1: never Trumpers and really the left sat down and they said,

1134
01:13:24,000 --> 01:13:27,320
Speaker 1: you know what, We're going to concentrate fully on making

1135
01:13:27,320 --> 01:13:30,720
Speaker 1: sure that we have mail in ballots and mail in

1136
01:13:30,840 --> 01:13:36,559
Speaker 1: voting is in. Everyone who is not, you know, a

1137
01:13:36,640 --> 01:13:39,519
Speaker 1: total Democrat partisan will tell you that that mail in

1138
01:13:39,640 --> 01:13:45,280
Speaker 1: voting is kind of an invitation to fraud. Had they

1139
01:13:45,400 --> 01:13:52,280
Speaker 1: been really serious about being I think it's serious about

1140
01:13:52,280 --> 01:13:55,479
Speaker 1: wanting to come up with a system in which people

1141
01:13:55,479 --> 01:13:58,519
Speaker 1: who are concerned about the virus and older folks who

1142
01:13:58,520 --> 01:14:00,760
Speaker 1: didn't want to go out to the polls vote, then

1143
01:14:00,760 --> 01:14:04,639
Speaker 1: they could have launched a campaign saying, hey, make sure

1144
01:14:04,720 --> 01:14:08,599
Speaker 1: that you get a legitimate absentee ballot and vote that way.

1145
01:14:08,600 --> 01:14:10,320
Speaker 1: But they didn't want to do that. Instead, they want

1146
01:14:10,360 --> 01:14:13,160
Speaker 1: to do fraud. So which brings us to the coup

1147
01:14:13,200 --> 01:14:17,360
Speaker 1: and Anton's great kind of viral essay that has been

1148
01:14:17,680 --> 01:14:20,120
Speaker 1: all around the Internet for the last couple of days

1149
01:14:21,200 --> 01:14:24,479
Speaker 1: in which he kind of lays out a pattern and

1150
01:14:24,520 --> 01:14:27,640
Speaker 1: it's a it's a really sobering pattern of Democrats at

1151
01:14:27,640 --> 01:14:31,080
Speaker 1: the highest levels basically saying, you know what, We're not

1152
01:14:31,160 --> 01:14:35,720
Speaker 1: going to concede no matter what happens on election day.

1153
01:14:36,280 --> 01:14:39,880
Speaker 1: And you'll already have you already have a lot of

1154
01:14:39,880 --> 01:14:42,400
Speaker 1: Democrat Party messaging going out and saying that, you know what,

1155
01:14:42,720 --> 01:14:46,040
Speaker 1: Trump could win in a landslide on election night, but

1156
01:14:46,280 --> 01:14:50,080
Speaker 1: don't worry, he will certainly lose. You know, there will

1157
01:14:50,120 --> 01:14:53,080
Speaker 1: be a red mirage that will disappear within a few

1158
01:14:53,200 --> 01:14:58,080
Speaker 1: days or weeks based on based on the result of

1159
01:14:58,120 --> 01:15:02,439
Speaker 1: the mail and voting. So they're gaming out scenarios in

1160
01:15:02,479 --> 01:15:06,479
Speaker 1: which there's no way that Trump will win. And they're

1161
01:15:06,520 --> 01:15:10,519
Speaker 1: also gaming out scenarios in which there's no way that

1162
01:15:10,680 --> 01:15:14,200
Speaker 1: Joe Biden will concede even if he loses, even if

1163
01:15:14,200 --> 01:15:18,160
Speaker 1: he loses legitimately. So we're going into a really dark

1164
01:15:18,200 --> 01:15:20,920
Speaker 1: period in American history right now. And I think the

1165
01:15:21,000 --> 01:15:24,639
Speaker 1: more people talk about it in advance of it happening,

1166
01:15:24,680 --> 01:15:27,880
Speaker 1: the better, because we really don't want to be caught

1167
01:15:27,880 --> 01:15:33,320
Speaker 1: flatfooted here. Speaking of David Reboys, political commentators down in

1168
01:15:33,400 --> 01:15:37,360
Speaker 1: Florida joining us now, speaking of that, David, how is

1169
01:15:37,400 --> 01:15:40,479
Speaker 1: Florida looking these days? I see, obviously, and most of

1170
01:15:40,479 --> 01:15:43,040
Speaker 1: the polling it's considered a toss up, but you're on

1171
01:15:43,080 --> 01:15:47,000
Speaker 1: the ground, there any idea how you think it's currently trending.

1172
01:15:47,760 --> 01:15:51,479
Speaker 1: So I definitely think it's trending. Read I think I

1173
01:15:52,479 --> 01:15:55,080
Speaker 1: said on Twitter that I was not at all surprised

1174
01:15:55,600 --> 01:15:59,080
Speaker 1: when the new polling is out, saying that the Trump

1175
01:15:59,200 --> 01:16:03,280
Speaker 1: is doing very very well in Dade County here in

1176
01:16:03,320 --> 01:16:08,679
Speaker 1: Miami with Hispanic voters, UM and Latina voters in general.

1177
01:16:08,960 --> 01:16:11,000
Speaker 1: And I think that's that has a lot to do

1178
01:16:11,120 --> 01:16:12,840
Speaker 1: with I don't think it has to do with the

1179
01:16:12,840 --> 01:16:17,120
Speaker 1: Cuban population and socialism and and things like that. Um.

1180
01:16:17,200 --> 01:16:18,760
Speaker 1: I think it has more to do with the law

1181
01:16:18,800 --> 01:16:21,799
Speaker 1: and order message of the Trump campaign and the fact

1182
01:16:21,840 --> 01:16:25,679
Speaker 1: that the Democrats are very clearly against cops, very clearly

1183
01:16:25,720 --> 01:16:30,920
Speaker 1: against law enforcement, and a lot of folks down here

1184
01:16:31,360 --> 01:16:35,479
Speaker 1: who are in law enforcement are Hispanic and Latino. It's

1185
01:16:35,520 --> 01:16:38,080
Speaker 1: just a very um it's it's a kind of very

1186
01:16:38,080 --> 01:16:43,800
Speaker 1: popular profession down here. And as soon as a political

1187
01:16:43,840 --> 01:16:46,479
Speaker 1: party is seen as going after cops and going after

1188
01:16:46,560 --> 01:16:50,280
Speaker 1: law enforcement the way the Democrats have, then I'm sorry,

1189
01:16:50,920 --> 01:16:53,719
Speaker 1: You're going to lose a lot of support from these people.

1190
01:16:54,120 --> 01:16:57,320
Speaker 1: What do you see as the back to that coup point.

1191
01:16:57,360 --> 01:16:58,800
Speaker 1: For a second, I want to ask you this, what

1192
01:16:58,840 --> 01:17:04,599
Speaker 1: do you see as a worst case scenario Democrat plan

1193
01:17:04,680 --> 01:17:08,640
Speaker 1: of action? If sure enough election night, Biden loses and

1194
01:17:08,760 --> 01:17:12,360
Speaker 1: let's say, what a week passes and there's not some

1195
01:17:12,479 --> 01:17:15,600
Speaker 1: avalanche of mail in ballots that they can point to,

1196
01:17:16,200 --> 01:17:18,360
Speaker 1: how do you think that plays out? If they just

1197
01:17:18,479 --> 01:17:23,640
Speaker 1: go to from resistance to obstinacy in transigence, We're just

1198
01:17:24,000 --> 01:17:26,639
Speaker 1: not going to accept this. I mean, I think their

1199
01:17:27,120 --> 01:17:31,400
Speaker 1: plan is to follow a color revolution plan. And there

1200
01:17:31,400 --> 01:17:34,760
Speaker 1: have been a couple pieces in Revolver or The New

1201
01:17:34,840 --> 01:17:38,600
Speaker 1: the New Site that kind of trace the lineage of

1202
01:17:39,000 --> 01:17:47,160
Speaker 1: what color revolutions are usually in UM, usually in Eastern

1203
01:17:47,160 --> 01:17:50,559
Speaker 1: Europe and other parts of the world. And what really

1204
01:17:50,560 --> 01:17:53,200
Speaker 1: what that means is it's a tactic by way of

1205
01:17:53,280 --> 01:17:57,120
Speaker 1: delegitimizing a government that is said to the authoritarian. So

1206
01:17:57,240 --> 01:18:00,200
Speaker 1: they say, you guys are authoritarians. So we're now to

1207
01:18:00,200 --> 01:18:03,400
Speaker 1: put people into the streets. We're going to UM, We're

1208
01:18:03,439 --> 01:18:06,719
Speaker 1: going to tell everybody that you have in fact stolen

1209
01:18:06,760 --> 01:18:09,839
Speaker 1: the vote. And the other thing is we're going to

1210
01:18:09,880 --> 01:18:13,720
Speaker 1: showcase police brutality. So this is exactly the playbook that

1211
01:18:13,760 --> 01:18:19,400
Speaker 1: the Democrats are U have undertaken over the last over

1212
01:18:19,439 --> 01:18:22,840
Speaker 1: the last year. Really M Whether or not it's going

1213
01:18:22,920 --> 01:18:25,640
Speaker 1: to work, I'm not sure. I happen to think that

1214
01:18:25,680 --> 01:18:29,519
Speaker 1: they're overplaying their hand right now. UM. I think that

1215
01:18:30,200 --> 01:18:33,720
Speaker 1: as Trump is gaining in the polls, it is a

1216
01:18:33,800 --> 01:18:40,040
Speaker 1: reaction to um, the the the riots, the inability of

1217
01:18:40,080 --> 01:18:45,080
Speaker 1: Democrats to um uh, you know, to to rain in

1218
01:18:45,120 --> 01:18:50,639
Speaker 1: their most hardcore and and and violence supporters on one hand.

1219
01:18:50,680 --> 01:18:53,080
Speaker 1: On the other hand is really I mean, the Democratic

1220
01:18:53,120 --> 01:18:55,200
Speaker 1: Party is the party of the radical left, and the

1221
01:18:55,240 --> 01:18:57,880
Speaker 1: people who want to tear down statutes, those people aren't

1222
01:18:57,920 --> 01:19:01,240
Speaker 1: voting Republican. And I just like we saw in the

1223
01:19:01,360 --> 01:19:06,960
Speaker 1: UK last year, when given a choice between patriots and

1224
01:19:07,040 --> 01:19:13,040
Speaker 1: anti patriots, Americans, just like the British chow will will,

1225
01:19:13,160 --> 01:19:18,479
Speaker 1: we'll choose, We'll choose the patriots. Um. And I also

1226
01:19:18,520 --> 01:19:21,680
Speaker 1: think that by then, after the election, no matter what happens,

1227
01:19:22,240 --> 01:19:26,360
Speaker 1: people will have you know, the patience of most Americans

1228
01:19:27,120 --> 01:19:32,599
Speaker 1: has um. I mean, nobody wants the riots anymore. Nobody

1229
01:19:32,640 --> 01:19:35,840
Speaker 1: wants the street action. Nobody is thrilled by you know,

1230
01:19:35,920 --> 01:19:42,440
Speaker 1: BLM protesters burning down cities. That's you know, whatever spasm

1231
01:19:42,479 --> 01:19:46,240
Speaker 1: of guilt that that that happened in America after the

1232
01:19:46,720 --> 01:19:50,280
Speaker 1: killing of George Floyd. And and you know, throughout the summer,

1233
01:19:50,680 --> 01:19:52,840
Speaker 1: all that has gone, All the sympathy is gone, and

1234
01:19:52,920 --> 01:19:57,880
Speaker 1: people no longer want to hear it. And and no

1235
01:19:57,920 --> 01:20:01,320
Speaker 1: matter how much the Democrats that's hate Trump, and how

1236
01:20:01,360 --> 01:20:04,120
Speaker 1: matter how much they're they're they're willing to burn the

1237
01:20:04,160 --> 01:20:07,120
Speaker 1: country to the ground if he wins again. I really

1238
01:20:07,120 --> 01:20:09,920
Speaker 1: don't think that the American people will will stand behind them.

1239
01:20:09,920 --> 01:20:14,800
Speaker 1: I think they've kind of lost the sympathy of most Americans.

1240
01:20:15,240 --> 01:20:19,080
Speaker 1: David Reeboy follow him on social media and look for

1241
01:20:19,160 --> 01:20:22,559
Speaker 1: his next magnum opus online. David, thanks so much for

1242
01:20:22,600 --> 01:20:27,880
Speaker 1: joining man. We appreciate it. It's my pleasure. Thank you.

1243
01:20:27,880 --> 01:20:30,760
Speaker 1: You're in the Freedom Hut. This is the Buck Sex

1244
01:20:30,840 --> 01:20:39,760
Speaker 1: and Show podcast. To mask or not to mask? That

1245
01:20:40,960 --> 01:20:44,120
Speaker 1: is the question, is it not? Well, now we're told

1246
01:20:44,120 --> 01:20:46,880
Speaker 1: we have to mask. It's it's irresponsible not to. Okay,

1247
01:20:47,160 --> 01:20:51,439
Speaker 1: when who, for how long? Under what circumstances? All of

1248
01:20:51,479 --> 01:20:55,880
Speaker 1: that stuff. Okay, well, let's take a step let's take

1249
01:20:55,880 --> 01:20:57,640
Speaker 1: a step back for a minute. S let's take a

1250
01:20:57,680 --> 01:21:02,600
Speaker 1: step back. You might be able to convince me that

1251
01:21:02,720 --> 01:21:08,680
Speaker 1: masking indoors when there's high risk people around. I don't know,

1252
01:21:08,880 --> 01:21:12,360
Speaker 1: maybe it maybe it works pretty well fine, okay outside,

1253
01:21:12,560 --> 01:21:14,360
Speaker 1: still never see in any real evidence that it works.

1254
01:21:14,360 --> 01:21:16,719
Speaker 1: All right, But what about for a little tiny babies?

1255
01:21:17,880 --> 01:21:21,000
Speaker 1: Should we should we force masks on little I mean little,

1256
01:21:21,040 --> 01:21:26,040
Speaker 1: any bitty babies. You had a video though and viral

1257
01:21:26,160 --> 01:21:29,799
Speaker 1: yesterday and the U from the UK of a family

1258
01:21:30,320 --> 01:21:34,480
Speaker 1: I believe, a South South Asian family of British citizenship,

1259
01:21:35,760 --> 01:21:43,040
Speaker 1: and they were being hounded by police officers because they

1260
01:21:43,120 --> 01:21:48,639
Speaker 1: could not get their nineteen month old baby to mask

1261
01:21:48,840 --> 01:21:52,880
Speaker 1: up on a plane. Now let's let's let's play. Oh,

1262
01:21:52,920 --> 01:21:55,479
Speaker 1: and they result not only did they threaten the family

1263
01:21:55,560 --> 01:21:57,200
Speaker 1: and say sorry, these are the rules, but you have

1264
01:21:57,240 --> 01:21:58,519
Speaker 1: to get off the plane or else, you know, if

1265
01:21:58,520 --> 01:22:01,800
Speaker 1: you don't mask him. And I'm not sure if they

1266
01:22:01,840 --> 01:22:05,000
Speaker 1: threatened prison jail for them, but they definitely were you know,

1267
01:22:05,040 --> 01:22:07,840
Speaker 1: you do this or it was an orl situation. Mask up.

1268
01:22:07,840 --> 01:22:11,240
Speaker 1: You're nineteen you're nineteen month old. I don't know that

1269
01:22:11,320 --> 01:22:12,720
Speaker 1: much about kids because I don't have any, but I

1270
01:22:12,800 --> 01:22:15,680
Speaker 1: know when you're nineteen months you're like a little you know,

1271
01:22:15,880 --> 01:22:18,800
Speaker 1: a little squishy thing that wears a onesie. Right, you're

1272
01:22:18,840 --> 01:22:21,000
Speaker 1: a tiny, tiny kid. I don't think you walk or anything.

1273
01:22:21,040 --> 01:22:22,479
Speaker 1: I don't know. I don't know how old nineteen months

1274
01:22:22,479 --> 01:22:26,880
Speaker 1: olds are, but that's little and kind of sound like

1275
01:22:26,880 --> 01:22:29,519
Speaker 1: one of these like the old uncle Bachelor who's like, yeah,

1276
01:22:29,560 --> 01:22:31,800
Speaker 1: you know, a kid just nineteen months he's you know,

1277
01:22:31,840 --> 01:22:34,799
Speaker 1: he's probably old enough to drive, right. I don't know anything,

1278
01:22:35,280 --> 01:22:37,760
Speaker 1: but when you're nineteen months old, I know it's tough

1279
01:22:37,800 --> 01:22:40,120
Speaker 1: to get you to wear a mask. I also know

1280
01:22:40,160 --> 01:22:43,479
Speaker 1: that you're basically no risk by the science whatsoever to

1281
01:22:43,479 --> 01:22:46,760
Speaker 1: transmit COVID to anybody. And if you get COVID, you're

1282
01:22:46,800 --> 01:22:53,160
Speaker 1: also at effectively zero risk, effective zero risk. Right, Okay,

1283
01:22:54,280 --> 01:22:56,920
Speaker 1: and now we get to what happened. They shut down

1284
01:22:56,960 --> 01:23:00,880
Speaker 1: the whole flight. They told everybody off the plane, the

1285
01:23:01,080 --> 01:23:06,160
Speaker 1: nineteen month old baby is not masking up. And I say, okay,

1286
01:23:06,479 --> 01:23:08,439
Speaker 1: let's take this apart from a minutecause I just flew

1287
01:23:08,479 --> 01:23:10,880
Speaker 1: a few times. I was on four flights in the

1288
01:23:11,000 --> 01:23:14,280
Speaker 1: last week, so I know the deal. I know the

1289
01:23:14,360 --> 01:23:22,559
Speaker 1: process that brings me to this. Explain to me, Please

1290
01:23:23,760 --> 01:23:27,400
Speaker 1: explain to me why it is that you have to

1291
01:23:27,400 --> 01:23:30,720
Speaker 1: have a nineteen month old baby masked up. But you

1292
01:23:30,760 --> 01:23:35,280
Speaker 1: can sit there as many people do with a Coca

1293
01:23:35,320 --> 01:23:39,360
Speaker 1: Cola in your hand and your mask pulled down for

1294
01:23:40,040 --> 01:23:44,599
Speaker 1: as long as you feel like and that's fine. Think

1295
01:23:44,640 --> 01:23:46,720
Speaker 1: about what these rules are really telling you. And I

1296
01:23:46,760 --> 01:23:48,880
Speaker 1: know people are sick of a mask talking everything else?

1297
01:23:48,920 --> 01:23:52,280
Speaker 1: Well okay? Or are we sick of stupid tyrants running

1298
01:23:52,280 --> 01:23:54,720
Speaker 1: our lives and sometimes ruining them? Because I'm sick of

1299
01:23:54,760 --> 01:24:02,599
Speaker 1: that mask up? Or else? Put a mask on your baby.

1300
01:24:02,680 --> 01:24:04,840
Speaker 1: If you don't put a mask on your baby, you're

1301
01:24:04,880 --> 01:24:09,880
Speaker 1: a bad person. There's somebody who cannot be trusted. You

1302
01:24:09,960 --> 01:24:15,759
Speaker 1: have to be kicked off the plane. Well, I'm sorry.

1303
01:24:15,840 --> 01:24:24,759
Speaker 1: I refuse to see the absurdity here and not take action.

1304
01:24:26,000 --> 01:24:30,240
Speaker 1: I refuse to see the situation and not call it out.

1305
01:24:31,120 --> 01:24:35,640
Speaker 1: The fellow named Yunan Weiss who has a thread on

1306
01:24:35,680 --> 01:24:38,439
Speaker 1: Twitter that I wanted to share with you about masks,

1307
01:24:39,560 --> 01:24:43,360
Speaker 1: and he just he's just presenting evidence because people might say, book,

1308
01:24:43,400 --> 01:24:45,640
Speaker 1: why do you? I try to be very fact and

1309
01:24:45,640 --> 01:24:50,639
Speaker 1: evidence based and all of my observations and conclusions, and

1310
01:24:51,800 --> 01:24:53,519
Speaker 1: I like to present you with why I think the

1311
01:24:53,560 --> 01:24:57,599
Speaker 1: way I do, which where I'm a skeptic that masks

1312
01:24:57,640 --> 01:25:00,479
Speaker 1: are worth the trade off. I am. I'm skeptical that

1313
01:25:00,520 --> 01:25:03,800
Speaker 1: they're worth. I'm not saying they do nothing, but I'm skeptical.

1314
01:25:04,360 --> 01:25:09,519
Speaker 1: And science as it actually was practiced in studies until

1315
01:25:10,439 --> 01:25:13,680
Speaker 1: about four months ago would have agreed with me in

1316
01:25:13,720 --> 01:25:18,240
Speaker 1: that position. But okay, here's what now, it's all changed.

1317
01:25:18,320 --> 01:25:22,240
Speaker 1: Now you're you're a troglodyte if you don't, if you

1318
01:25:22,240 --> 01:25:25,200
Speaker 1: don't agree with the newly formed consensus on this. Here's

1319
01:25:25,240 --> 01:25:32,160
Speaker 1: Yann Weiss's Twitter thread in science Observations drive conclusion in politics,

1320
01:25:32,200 --> 01:25:37,600
Speaker 1: conclusions drive observations a threat about masks. This is not

1321
01:25:37,720 --> 01:25:43,080
Speaker 1: advice not to wear a mask. It is simply sharing information.

1322
01:25:43,720 --> 01:25:47,920
Speaker 1: Share it before Twitter censors it. Okay, he says, the

1323
01:25:47,960 --> 01:25:50,920
Speaker 1: politics of masks. There's this matrix he shared, and it

1324
01:25:50,960 --> 01:25:54,920
Speaker 1: has masks required cases up. It worked, We told you so.

1325
01:25:55,120 --> 01:25:59,960
Speaker 1: New York, Texas. I'm sorry cases down rather mask required

1326
01:26:00,080 --> 01:26:02,639
Speaker 1: cases up. It worked. It would have been much worse

1327
01:26:02,640 --> 01:26:07,280
Speaker 1: without masks, Hawaii and Illinois. He sites here, masks not

1328
01:26:07,439 --> 01:26:11,599
Speaker 1: required cases down, Georgia, Sweden. Ignore this. This is all

1329
01:26:11,600 --> 01:26:15,720
Speaker 1: the politics of masks and masks not required cases up.

1330
01:26:16,360 --> 01:26:19,200
Speaker 1: That's what happens with no masks, of course, all right,

1331
01:26:19,280 --> 01:26:22,320
Speaker 1: that's what we're all supposed to believe and that's what's

1332
01:26:22,320 --> 01:26:28,559
Speaker 1: really happened here. So Yanan goes on to say, nobody

1333
01:26:28,600 --> 01:26:31,439
Speaker 1: wants unnecessary debts. Wearing a face covering isn't that hard

1334
01:26:31,479 --> 01:26:33,120
Speaker 1: to do, So what's the big deal? Why are we

1335
01:26:33,240 --> 01:26:38,040
Speaker 1: so or divided? Yan Weiss goes on, for one, it's

1336
01:26:38,040 --> 01:26:41,400
Speaker 1: hard to know who to trust. Many officials wear masks

1337
01:26:41,439 --> 01:26:43,360
Speaker 1: when they think the cameras are on them, but then

1338
01:26:43,439 --> 01:26:45,880
Speaker 1: take them off when they think the cameras are off.

1339
01:26:46,320 --> 01:26:52,120
Speaker 1: Doctor Fauci has been caught doing this multiple times. Chicago's

1340
01:26:52,160 --> 01:26:54,400
Speaker 1: mayor and the media were all caught taking off their

1341
01:26:54,439 --> 01:26:57,840
Speaker 1: masks and violating social distancing as soon as their press

1342
01:26:57,880 --> 01:27:00,960
Speaker 1: conference ended and they thought that cameras were off. Yeah,

1343
01:27:01,000 --> 01:27:02,720
Speaker 1: we've seen other people do this in the White House

1344
01:27:02,720 --> 01:27:07,320
Speaker 1: press s coops keeps happening. Some politicians and health officials

1345
01:27:07,320 --> 01:27:10,200
Speaker 1: are so desperate to make people believe in masks that

1346
01:27:10,240 --> 01:27:13,160
Speaker 1: they doctor up charts to make their case, even when

1347
01:27:13,160 --> 01:27:16,439
Speaker 1: their own data actually undermines them. It's no wonder people

1348
01:27:16,479 --> 01:27:18,640
Speaker 1: lose trust in some health officials. And he notes that

1349
01:27:18,760 --> 01:27:22,360
Speaker 1: Kansas Democrats put forward a COVID chart that was just false.

1350
01:27:22,600 --> 01:27:27,479
Speaker 1: Just the state health secretary juced the numbers to make

1351
01:27:27,479 --> 01:27:30,400
Speaker 1: the governor's mask mandate look successful. So they're lying to you,

1352
01:27:30,479 --> 01:27:33,719
Speaker 1: and you should always be concerned when public officials are

1353
01:27:33,880 --> 01:27:38,560
Speaker 1: lying to you. So what is the actual science you

1354
01:27:38,680 --> 01:27:41,200
Speaker 1: known rights behind masks. Let's look at some of the

1355
01:27:41,200 --> 01:27:45,000
Speaker 1: hard research and perhaps Twitter won't censor me for sharing

1356
01:27:45,000 --> 01:27:50,040
Speaker 1: scientific studies. The Center for Evidence Based Medicine at Oxford

1357
01:27:50,080 --> 01:27:54,200
Speaker 1: summarize six international studies which show that masks alone have

1358
01:27:54,479 --> 01:27:59,439
Speaker 1: no significant effect in interrupting the spread of ILI or

1359
01:27:59,560 --> 01:28:05,160
Speaker 1: influence wenza in the general population nor in healthcare workers.

1360
01:28:06,479 --> 01:28:12,200
Speaker 1: Very large study out of a super fringe place called

1361
01:28:12,280 --> 01:28:16,200
Speaker 1: Oxford University, Okay. Oxford went on to say that despite

1362
01:28:16,280 --> 01:28:21,040
Speaker 1: two decades of pandemic preparedness, there is considerable uncertainty as

1363
01:28:21,040 --> 01:28:23,439
Speaker 1: to the value of wearing masks, wearying that this has

1364
01:28:23,479 --> 01:28:25,800
Speaker 1: left the field wide open for the play of opinions,

1365
01:28:26,200 --> 01:28:30,559
Speaker 1: radical views, and political influence. A study of healthcare workers

1366
01:28:30,600 --> 01:28:35,599
Speaker 1: in over sixteen hundred hospitals showed that cloth masks only

1367
01:28:35,640 --> 01:28:41,920
Speaker 1: filtered out three percent of particles. An article in the

1368
01:28:41,960 --> 01:28:44,799
Speaker 1: New England Journal of Medicine stated wearing a mask outside

1369
01:28:44,840 --> 01:28:49,640
Speaker 1: healthcare facilities offers little, if any protection from infection, and

1370
01:28:49,760 --> 01:28:53,559
Speaker 1: the desire for widespread masking is a reflexive reaction to

1371
01:28:53,760 --> 01:29:01,600
Speaker 1: anxiety over a pandemic. And then he lists from Cambridge

1372
01:29:00,520 --> 01:29:05,719
Speaker 1: UH and in the National the NCBI, the National Institute

1373
01:29:05,720 --> 01:29:10,559
Speaker 1: of Health, all studies saying the same thing. Studies do

1374
01:29:10,760 --> 01:29:13,360
Speaker 1: show masks and can help in the case of direct

1375
01:29:13,520 --> 01:29:17,280
Speaker 1: respiratory droplets, which would matter if somebody's coughing, breathing or

1376
01:29:17,320 --> 01:29:20,000
Speaker 1: sneezing directly on you in a confined space, but do

1377
01:29:20,080 --> 01:29:24,639
Speaker 1: not help an aerosols. Gee that's the end quote there,

1378
01:29:24,840 --> 01:29:28,640
Speaker 1: But gee you don't say thanks for listening to the

1379
01:29:28,800 --> 01:29:32,880
Speaker 1: buses and show podcasts. Remember to subscribe on Apple podcasts,

1380
01:29:33,080 --> 01:29:42,240
Speaker 1: the iHeartRadio app, or wherever you get your podcasts. Team Bugging,

1381
01:29:42,720 --> 01:29:58,080
Speaker 1: It's time for roll call. Roll call everyone, everybody, Roll call.

1382
01:29:58,280 --> 01:30:01,679
Speaker 1: Let's get it, crack lack it. Thank you so much

1383
01:30:01,720 --> 01:30:04,800
Speaker 1: for joining us to this point in the show. Facebook

1384
01:30:04,840 --> 01:30:08,360
Speaker 1: dot com, slash buck Sex and Team buck at iHeartMedia

1385
01:30:08,400 --> 01:30:10,600
Speaker 1: dot com. If you want to email and remember and

1386
01:30:10,720 --> 01:30:14,160
Speaker 1: go on Spotify, you can go on the iHeartRadio app

1387
01:30:14,479 --> 01:30:18,040
Speaker 1: and the Apple podcast You can always download the show

1388
01:30:18,320 --> 01:30:22,599
Speaker 1: watch I'll listen to it and please do so. So

1389
01:30:23,000 --> 01:30:26,559
Speaker 1: with that, now let's get to what we got in

1390
01:30:26,600 --> 01:30:31,479
Speaker 1: the row. Call Joseph, Hey, buck, I've listened to you

1391
01:30:31,479 --> 01:30:35,160
Speaker 1: since twenty fifteen. Wow, and must say congratulations on your

1392
01:30:35,200 --> 01:30:38,519
Speaker 1: success thus far in your career informing citizens like me

1393
01:30:38,600 --> 01:30:40,960
Speaker 1: with facts and nuance. And I've certainly learned more from

1394
01:30:41,000 --> 01:30:45,200
Speaker 1: you than from my public school education. This message is

1395
01:30:45,240 --> 01:30:48,000
Speaker 1: mainly due to your horrible experience with the barbecue you've

1396
01:30:48,040 --> 01:30:51,200
Speaker 1: recently had. In North Carolina. You're gonna be hard pressed

1397
01:30:51,240 --> 01:30:54,200
Speaker 1: to find good barbecue at all at any large restaurant.

1398
01:30:54,640 --> 01:30:57,840
Speaker 1: But we'll find delicious vinegar and pepper based barbecue at

1399
01:30:57,840 --> 01:31:01,479
Speaker 1: one of our many hog cookings around the state, where

1400
01:31:01,479 --> 01:31:04,840
Speaker 1: the real homegrown natives cook for pride, not money, and

1401
01:31:04,920 --> 01:31:10,240
Speaker 1: they know their pork will be judged harshly. Joseph sounds great. Man,

1402
01:31:10,360 --> 01:31:14,200
Speaker 1: invite me to a hog cooking at some point. That

1403
01:31:14,280 --> 01:31:17,800
Speaker 1: sounds sounds like there's delicious. I mean pork. I don't know.

1404
01:31:17,840 --> 01:31:20,559
Speaker 1: I like beef so much because of steak and burgers,

1405
01:31:20,680 --> 01:31:24,559
Speaker 1: but pork is definitely my second favorite meat, and it

1406
01:31:24,640 --> 01:31:27,360
Speaker 1: might even be my favorite meat because it's so versatile.

1407
01:31:27,400 --> 01:31:30,719
Speaker 1: There's so many different things you get from pork. Bacon,

1408
01:31:31,560 --> 01:31:36,080
Speaker 1: pork chops, pulled pork, pork and beans. I don't know,

1409
01:31:36,240 --> 01:31:38,560
Speaker 1: you could have stopped it. Bacon, Yeah, I know that.

1410
01:31:38,800 --> 01:31:41,200
Speaker 1: You know, pork. Maybe if I could only have one

1411
01:31:41,280 --> 01:31:45,000
Speaker 1: meat for the rest of my life, is it? Producer Mark?

1412
01:31:45,040 --> 01:31:46,439
Speaker 1: Do you go with beef and do you go with pork?

1413
01:31:47,560 --> 01:31:51,599
Speaker 1: Out of those two? Probably pork. But I mean, chicken's

1414
01:31:51,600 --> 01:31:53,320
Speaker 1: got to be in the mix there somewhere too, right.

1415
01:31:54,800 --> 01:31:57,360
Speaker 1: I mean, chicken is like the is like the vanilla

1416
01:31:57,400 --> 01:32:00,559
Speaker 1: ice cream of meats. It's always good, and it's useful

1417
01:32:00,600 --> 01:32:02,320
Speaker 1: for a lot of things. But do you really get

1418
01:32:02,360 --> 01:32:05,880
Speaker 1: that excited about it? That's a good point, I'll give

1419
01:32:05,920 --> 01:32:08,400
Speaker 1: you that. But it's the most versatile meat, is most

1420
01:32:08,800 --> 01:32:10,320
Speaker 1: verse at all. Yeah, if the one I eat the most,

1421
01:32:10,360 --> 01:32:14,439
Speaker 1: I'm sure you know it's probably the healthiest. Yeah. Man,

1422
01:32:14,600 --> 01:32:16,320
Speaker 1: I'm getting hungry just thinking about it. Let me make

1423
01:32:16,320 --> 01:32:20,559
Speaker 1: myself a burger as burger time. Kyle Buck, you brought

1424
01:32:20,680 --> 01:32:25,280
Speaker 1: up the peaceful ninety three percent? How about this comparison

1425
01:32:25,320 --> 01:32:28,680
Speaker 1: by asking a simple question, which has the higher percentage

1426
01:32:28,720 --> 01:32:34,280
Speaker 1: of wrongful violence? BLM protests or police interactions with unarmed

1427
01:32:34,320 --> 01:32:37,200
Speaker 1: black men. I have to wonder if the body count

1428
01:32:37,240 --> 01:32:40,200
Speaker 1: from the former actually outnumbers the latter. In twenty twenty.

1429
01:32:40,240 --> 01:32:45,000
Speaker 1: I bet my money that it does BLM protests or

1430
01:32:45,040 --> 01:32:47,519
Speaker 1: police interactions on arm back. Oh yeah, what's you're saying,

1431
01:32:47,600 --> 01:32:49,760
Speaker 1: Kyle that if you were to look, I mean, the

1432
01:32:49,960 --> 01:32:52,920
Speaker 1: number of police interactions across the country is in the

1433
01:32:53,000 --> 01:32:56,720
Speaker 1: millions every year. I think it might even stretch into

1434
01:32:56,760 --> 01:33:00,439
Speaker 1: the tens of millions of police interactions with civilians every

1435
01:33:00,520 --> 01:33:02,680
Speaker 1: year in this country. So it's like twenty you know,

1436
01:33:02,920 --> 01:33:05,519
Speaker 1: I don't know, I don't know the actual number, but

1437
01:33:05,560 --> 01:33:07,600
Speaker 1: it would be you know, twenty or thirty million a

1438
01:33:07,760 --> 01:33:12,040
Speaker 1: year interactions with cops, and it may even be higher

1439
01:33:12,080 --> 01:33:17,680
Speaker 1: than that. And you have certainly less than a hundred,

1440
01:33:17,920 --> 01:33:20,680
Speaker 1: usually less than fifty, and as low as about a

1441
01:33:20,760 --> 01:33:26,600
Speaker 1: dozen unarmed black men killed by cops every year in America.

1442
01:33:26,760 --> 01:33:28,760
Speaker 1: I can't do the math on that up top by head,

1443
01:33:28,880 --> 01:33:32,759
Speaker 1: but it is very, very small. And as I've pointed

1444
01:33:32,760 --> 01:33:34,960
Speaker 1: out to you more, this is just a this is

1445
01:33:35,000 --> 01:33:40,120
Speaker 1: a a straight statistical analysis. There are more people killed

1446
01:33:40,120 --> 01:33:44,200
Speaker 1: by lightning in America every year than there are unarmed

1447
01:33:44,240 --> 01:33:48,400
Speaker 1: black men killed by police in America every year. And

1448
01:33:48,439 --> 01:33:50,280
Speaker 1: you know, we have that phrase, you know, oh my gosh,

1449
01:33:50,280 --> 01:33:52,639
Speaker 1: struck by lightning, because it's like the most random occurrence,

1450
01:33:52,680 --> 01:33:55,840
Speaker 1: and what could you ever do? More people struck by

1451
01:33:55,920 --> 01:34:00,680
Speaker 1: lightning than unarmed black men killed by police. So I

1452
01:34:00,720 --> 01:34:02,960
Speaker 1: think that puts it into some context as to how

1453
01:34:03,240 --> 01:34:05,280
Speaker 1: that doesn't mean. If someone gets struck by lightning and dies,

1454
01:34:05,320 --> 01:34:07,400
Speaker 1: that's horrible, right. The family is shattered, and that's a

1455
01:34:07,439 --> 01:34:09,640
Speaker 1: terrible thing. If an unarmed black man gets killed by

1456
01:34:09,720 --> 01:34:12,719
Speaker 1: police and he wasn't attacking cops or doing something illegal,

1457
01:34:12,840 --> 01:34:14,920
Speaker 1: that's terrible and they should be punished the full extent

1458
01:34:15,040 --> 01:34:17,840
Speaker 1: of the law. But it's not indicative of our entire

1459
01:34:17,960 --> 01:34:22,040
Speaker 1: police system at all, not even close, and it's delusional

1460
01:34:22,120 --> 01:34:25,519
Speaker 1: to claim that it is. But that's the central premise

1461
01:34:25,520 --> 01:34:30,360
Speaker 1: of the BLM movement, absolutely central to it. Jammie, Hello,

1462
01:34:30,960 --> 01:34:34,960
Speaker 1: I am writing from Switzerland. I just wanted to say

1463
01:34:35,000 --> 01:34:37,320
Speaker 1: that I listen almost every day. I appreciate yours and

1464
01:34:37,320 --> 01:34:40,439
Speaker 1: producer Mark's hard work, along with anyone else working with

1465
01:34:40,479 --> 01:34:44,720
Speaker 1: you guys Shields High. Oh, and I love to Lula Well,

1466
01:34:44,760 --> 01:34:51,679
Speaker 1: thank you so much. Jam Wait, it probably is, Jamie, right, yeah, Jamie, Yes, Jemmy,

1467
01:34:52,840 --> 01:34:54,679
Speaker 1: I'm gonna put on my Jamie's and go to bed.

1468
01:34:55,160 --> 01:35:00,000
Speaker 1: Jam Sorry, Jamie, obviously obviously, Buck, thank you so much

1469
01:35:00,080 --> 01:35:02,160
Speaker 1: for writing in and yeah, I love to Lula two.

1470
01:35:02,320 --> 01:35:05,559
Speaker 1: She was looking very cute yesterday. I took some photos

1471
01:35:05,600 --> 01:35:06,960
Speaker 1: of her, which is why you should follow me on

1472
01:35:07,000 --> 01:35:13,520
Speaker 1: Instagram if you don't already. Yeah, yeah, all right, Erica.

1473
01:35:13,600 --> 01:35:16,160
Speaker 1: I had to laugh about your comments on the name Ethel.

1474
01:35:16,600 --> 01:35:19,559
Speaker 1: I run a dog boarding kennel and I have had

1475
01:35:19,600 --> 01:35:24,360
Speaker 1: an Ethel and a unis Leroy, Rufus and Otto as well.

1476
01:35:25,000 --> 01:35:28,639
Speaker 1: People love to use old fashion out of popularity names

1477
01:35:28,680 --> 01:35:32,840
Speaker 1: for their pets. I could see that. I could see

1478
01:35:32,880 --> 01:35:37,240
Speaker 1: that Otto is a cool name. You don't hear a

1479
01:35:37,280 --> 01:35:40,320
Speaker 1: lot of people named Otto. Otto's a cool name for

1480
01:35:40,360 --> 01:35:43,680
Speaker 1: a dog. I think it's a cool name. Otto von Bismarck.

1481
01:35:44,040 --> 01:35:49,680
Speaker 1: Come on, it's a cool name. Ethel Eunice Dolores. I

1482
01:35:49,680 --> 01:35:53,080
Speaker 1: feel like you never hear anyone named Dolores anymore, you know.

1483
01:35:53,520 --> 01:35:55,639
Speaker 1: I think there's a good reason for that, and there's

1484
01:35:55,640 --> 01:35:59,320
Speaker 1: an entire Seinfeld episode about it. Are you serious? I

1485
01:35:59,320 --> 01:36:03,519
Speaker 1: didn't know that, m really, I don't think I can

1486
01:36:03,560 --> 01:36:08,920
Speaker 1: explain why correctly on the air without getting an FCC violation. Esther,

1487
01:36:09,560 --> 01:36:13,439
Speaker 1: as producer Nick points out, another one that's a that's

1488
01:36:13,479 --> 01:36:16,960
Speaker 1: another name you don't hear a lot of these days.

1489
01:36:17,120 --> 01:36:18,840
Speaker 1: Let me think what else is in the mix for

1490
01:36:18,920 --> 01:36:22,679
Speaker 1: that one Archibald. I feel like you don't meet guys

1491
01:36:22,760 --> 01:36:25,800
Speaker 1: named Archibald anymore, or maybe you do because they're called

1492
01:36:25,880 --> 01:36:32,519
Speaker 1: Archie Archie name. Yeah, true, Well I'll have to see anyway, Erica,

1493
01:36:32,560 --> 01:36:36,599
Speaker 1: I'm sure the dog name Ethel is very very cute. Somebody,

1494
01:36:36,720 --> 01:36:40,000
Speaker 1: some famous person is named there's like a young celebrity

1495
01:36:40,080 --> 01:36:42,000
Speaker 1: kid I think named to Lula. Now someone named their

1496
01:36:42,040 --> 01:36:44,040
Speaker 1: kid to Lula. I forget who it is, but it's

1497
01:36:44,040 --> 01:36:47,200
Speaker 1: definitely a thing that happened out there. I thought you

1498
01:36:47,240 --> 01:36:48,920
Speaker 1: were going to say a fan of this show named

1499
01:36:48,920 --> 01:36:52,640
Speaker 1: there kid to Lula. It's a great name. There was

1500
01:36:52,680 --> 01:36:55,080
Speaker 1: to Lulah Bankhead, who was an actress, and that's why

1501
01:36:55,120 --> 01:36:57,160
Speaker 1: my parents got the name, I believe. So that's I

1502
01:36:57,200 --> 01:37:00,200
Speaker 1: wonder if there's gonna be any children bucks now, are

1503
01:37:00,200 --> 01:37:04,120
Speaker 1: you there should be? Just saying it's a great name,

1504
01:37:04,280 --> 01:37:07,360
Speaker 1: great name, very very masculine name. It is not not

1505
01:37:07,400 --> 01:37:09,000
Speaker 1: a lot of people named for a member of the

1506
01:37:09,040 --> 01:37:10,920
Speaker 1: animal kingdom. You know, you don't have a lot of that.

1507
01:37:10,960 --> 01:37:12,400
Speaker 1: You don't have a lot of people walking around named

1508
01:37:12,479 --> 01:37:17,960
Speaker 1: coyote or I guess there is wolf, So there's wolf.

1509
01:37:18,000 --> 01:37:21,559
Speaker 1: That's a name that people will have, but it's not

1510
01:37:21,600 --> 01:37:25,000
Speaker 1: short for a wolfgang or not always. There are other animals.

1511
01:37:25,040 --> 01:37:28,679
Speaker 1: You know, you can name your kid. Oh, Bruce Willis's daughter,

1512
01:37:28,680 --> 01:37:32,439
Speaker 1: producer and producer Nick says to Lula Willis, to Lula

1513
01:37:32,479 --> 01:37:39,720
Speaker 1: Bell Willis, cool name. Gotta say, cool name. All right,

1514
01:37:39,760 --> 01:37:44,240
Speaker 1: what do we have here next? Clifford? You asked today,

1515
01:37:44,479 --> 01:37:48,360
Speaker 1: where do we go? Tennessee? Baby, Clifford. I think if

1516
01:37:48,360 --> 01:37:51,320
Speaker 1: I were to go to Tennessee, it would be Williamson County.

1517
01:37:51,360 --> 01:37:55,200
Speaker 1: I think it's called just south of Nashville, very beautiful,

1518
01:37:55,280 --> 01:37:57,160
Speaker 1: very red, close enough to Nashville that you can go

1519
01:37:57,200 --> 01:38:00,280
Speaker 1: in for the shows and the food. But it's a

1520
01:38:00,360 --> 01:38:03,519
Speaker 1: rhetor area. So I think Williamson County sounds pretty nice

1521
01:38:03,520 --> 01:38:06,240
Speaker 1: to me. And Tennessee's a great I've only been in

1522
01:38:06,320 --> 01:38:07,960
Speaker 1: Nashville once. I love Tennessee. I thought it was a

1523
01:38:07,960 --> 01:38:14,400
Speaker 1: great state, really enjoyed it. Richard Buck, Happy Hoosier, hellos

1524
01:38:14,720 --> 01:38:18,320
Speaker 1: I hope you wrote a moose across a beaver dam

1525
01:38:18,520 --> 01:38:22,240
Speaker 1: while juggling hatchets to impress snow princess, because that's what

1526
01:38:22,280 --> 01:38:25,120
Speaker 1: people in Montana do, right, All kidding aside. I have

1527
01:38:25,120 --> 01:38:27,760
Speaker 1: a question for you. How many Steve Schmidts are there

1528
01:38:27,800 --> 01:38:31,799
Speaker 1: in the Republican Party today? Correct me if I'm wrong.

1529
01:38:32,680 --> 01:38:36,080
Speaker 1: But Steve Schmidt helped orchestrate the demise of the McCain campaign.

1530
01:38:36,360 --> 01:38:40,040
Speaker 1: He helps Sarah Palin go from a folksy conservative to

1531
01:38:40,160 --> 01:38:43,920
Speaker 1: an absolutely idiotic crazy woman. Then he was rewarded with

1532
01:38:43,960 --> 01:38:47,640
Speaker 1: that job at MSNBC. And it how is it that

1533
01:38:47,760 --> 01:38:51,040
Speaker 1: he gets to have a Northwest Northwestern totum in his

1534
01:38:51,080 --> 01:38:55,400
Speaker 1: living room Shields High. Well, Richard, you know a lot

1535
01:38:55,400 --> 01:38:57,479
Speaker 1: more about Steve Schmidt than I do. I certainly haven't

1536
01:38:57,479 --> 01:38:59,240
Speaker 1: seen this living room set up that he must have

1537
01:38:59,320 --> 01:39:04,479
Speaker 1: for his TV. It's how many stupid Republican consultants are there?

1538
01:39:04,680 --> 01:39:06,200
Speaker 1: I don't know the answer, but I know it's far

1539
01:39:06,240 --> 01:39:09,800
Speaker 1: too many. I know that there's no shortage of dumb

1540
01:39:09,840 --> 01:39:12,600
Speaker 1: asses taking money to pretend they know more about politics

1541
01:39:12,640 --> 01:39:16,880
Speaker 1: than they do. So there's that. I think we all

1542
01:39:16,920 --> 01:39:21,040
Speaker 1: have to remember that. I think that's important. Thank you

1543
01:39:21,080 --> 01:39:26,800
Speaker 1: so much for right again. You're in the Freedom Hud.

1544
01:39:27,240 --> 01:39:34,320
Speaker 1: This is the Buck Sexton Show podcast Team more roll

1545
01:39:34,400 --> 01:39:39,040
Speaker 1: Call coming your way now, Linda, Aloha, Buck Listen to

1546
01:39:39,040 --> 01:39:42,200
Speaker 1: the show today. Loved it as always want to let

1547
01:39:42,240 --> 01:39:45,000
Speaker 1: you know. Hawaii as a state is completely shut down

1548
01:39:45,080 --> 01:39:49,760
Speaker 1: again and Honolulu wants a thriving tourism hub is closed

1549
01:39:50,000 --> 01:39:54,000
Speaker 1: stay at home orders again. Articles are saying it could

1550
01:39:54,040 --> 01:39:57,720
Speaker 1: be ten years before it comes back. And just when

1551
01:39:57,720 --> 01:40:01,200
Speaker 1: things couldn't get any dumber, the Mayor Kirk called well said,

1552
01:40:01,280 --> 01:40:04,160
Speaker 1: now it's okay to go swimming and hiking by yourself,

1553
01:40:04,560 --> 01:40:08,320
Speaker 1: but not with anyone else in your household. Oh my god,

1554
01:40:08,360 --> 01:40:10,200
Speaker 1: I didn't know that. That is one of the dumbest

1555
01:40:10,200 --> 01:40:13,040
Speaker 1: things I've ever heard. Swimming and hiking alone has never

1556
01:40:13,080 --> 01:40:15,400
Speaker 1: been a good idea. Earlier this summer they closed the

1557
01:40:15,439 --> 01:40:18,520
Speaker 1: beach but left restaurants and gym's open. Now it's all closed.

1558
01:40:18,960 --> 01:40:21,679
Speaker 1: Could go on and on with the backwardness of the state,

1559
01:40:21,720 --> 01:40:24,680
Speaker 1: but it would be pointless. Very sorry for all the

1560
01:40:24,680 --> 01:40:28,559
Speaker 1: military members and retirees there. Morale is way down as

1561
01:40:28,560 --> 01:40:33,280
Speaker 1: the military is suffering through these insane mandates as well.

1562
01:40:34,320 --> 01:40:38,000
Speaker 1: It's all self inflicted at this point. We should just

1563
01:40:38,040 --> 01:40:41,680
Speaker 1: open up, folks, open it all up, let people go

1564
01:40:41,720 --> 01:40:44,280
Speaker 1: back to living their lives. That's what should happen. I

1565
01:40:44,360 --> 01:40:46,400
Speaker 1: know there would be cases and bad things would happen,

1566
01:40:46,560 --> 01:40:48,960
Speaker 1: but they're gonna be cases, and bad things are gonna

1567
01:40:48,960 --> 01:40:54,760
Speaker 1: happen anyway. What are we doing? Protect the vulnerable, make precautions,

1568
01:40:54,880 --> 01:40:59,320
Speaker 1: put precautions in place, make the necessary arrangements for people

1569
01:40:59,320 --> 01:41:02,840
Speaker 1: who are at high risk. That would be a same

1570
01:41:03,960 --> 01:41:07,120
Speaker 1: response to all of this, That would be a reasonable

1571
01:41:07,360 --> 01:41:10,400
Speaker 1: approach to all of this. But that's certainly not what

1572
01:41:10,520 --> 01:41:15,719
Speaker 1: we're going to have, Stephen, great show. The White House

1573
01:41:15,880 --> 01:41:22,360
Speaker 1: Press Corps was particularly vicious and apoplectic. Today they smell

1574
01:41:22,479 --> 01:41:26,320
Speaker 1: blood in the political water with the Woodward Book. Cayley

1575
01:41:26,360 --> 01:41:29,360
Speaker 1: handled them with her usual a plumb and grace. She

1576
01:41:29,560 --> 01:41:33,120
Speaker 1: is so much smarter than them. Yes, Stephen Cayley is

1577
01:41:33,200 --> 01:41:37,120
Speaker 1: indeed much smarter than the members of the White House

1578
01:41:37,160 --> 01:41:39,599
Speaker 1: Press Corps. But there are many more of them than

1579
01:41:39,640 --> 01:41:45,559
Speaker 1: there are her, So that's always a challenge. That's always

1580
01:41:45,600 --> 01:41:51,439
Speaker 1: a difficult, a difficult situation. And indeed, let's see what

1581
01:41:51,560 --> 01:41:54,160
Speaker 1: we got here. We have some more coming in this

1582
01:41:54,439 --> 01:42:02,120
Speaker 1: via Instagram. Via Instagram, we have franc who writes Buenos

1583
01:42:02,160 --> 01:42:06,479
Speaker 1: Dias from sunny South Florida, bucking producer Mark Trump is

1584
01:42:06,640 --> 01:42:10,120
Speaker 1: winning the Latino vote down here, bank on it. Trump

1585
01:42:10,160 --> 01:42:13,519
Speaker 1: flags are everywhere, No Way, Cubans and Venezuelans are voting

1586
01:42:13,520 --> 01:42:18,760
Speaker 1: for socialism. No Way shields high Frank, thank you so

1587
01:42:18,840 --> 01:42:21,840
Speaker 1: much for riding in. That would be great. If Trump

1588
01:42:21,880 --> 01:42:25,400
Speaker 1: wins the Latino vote in Florida, that would be such

1589
01:42:25,439 --> 01:42:31,160
Speaker 1: a beautiful repudiation of the Democrats disgusting tactics and all

1590
01:42:31,160 --> 01:42:35,439
Speaker 1: of this. Producer marthe d Town is Naples where you're

1591
01:42:35,439 --> 01:42:37,320
Speaker 1: gonna go in Florida when you move down there? Is

1592
01:42:37,360 --> 01:42:40,040
Speaker 1: that the move? What's the move? I think more south

1593
01:42:40,240 --> 01:42:45,599
Speaker 1: maybe like the Delray Beach general area for Lauderdale. Delray Beach,

1594
01:42:46,600 --> 01:42:51,759
Speaker 1: Delray Beach sunnice like it so much. Is West Palm nice?

1595
01:42:52,160 --> 01:42:54,720
Speaker 1: That's kind of in the same area. Yeah, West Palm

1596
01:42:54,760 --> 01:42:57,320
Speaker 1: for Lauderdale of the general same general area. I know,

1597
01:42:57,400 --> 01:42:59,679
Speaker 1: Palm Beach is very nice. But unless you've been stealing

1598
01:43:00,320 --> 01:43:03,519
Speaker 1: a cartel drug lord and stashing away cash for years,

1599
01:43:03,960 --> 01:43:08,400
Speaker 1: the beach front real estate there, Producer Mark is pretty expensive. Yeah,

1600
01:43:08,439 --> 01:43:14,120
Speaker 1: I believe you're thinking of Boca. That's the very expensive area. Well,

1601
01:43:14,160 --> 01:43:17,400
Speaker 1: Palm Beach is very well, Palm Beach County in general. Yes, yeah,

1602
01:43:17,520 --> 01:43:20,600
Speaker 1: Palm Beach is very expensive. Boca is very expensive. That

1603
01:43:20,680 --> 01:43:22,680
Speaker 1: sounds nice. Jupiter is supposed to be very nice too.

1604
01:43:22,800 --> 01:43:25,600
Speaker 1: I love watching these shows that have the rest of

1605
01:43:25,640 --> 01:43:28,080
Speaker 1: the country where people buy the house. They're like, oh gosh,

1606
01:43:28,120 --> 01:43:31,519
Speaker 1: like Timmy and Sally need to buy a house. They've

1607
01:43:31,520 --> 01:43:34,080
Speaker 1: got a budget of two hundred and fifty thousand dollars.

1608
01:43:34,120 --> 01:43:36,120
Speaker 1: Oh yeah, eh TV. When I used to have cable

1609
01:43:36,560 --> 01:43:39,920
Speaker 1: at the time, I love it. I love watching those shows.

1610
01:43:40,400 --> 01:43:42,320
Speaker 1: And there was a house I still remember. There was

1611
01:43:42,360 --> 01:43:44,920
Speaker 1: a house that somebody bought in Richmond. I mean it

1612
01:43:44,960 --> 01:43:47,559
Speaker 1: was pretty pricey. It was like a four hundred thousand

1613
01:43:47,600 --> 01:43:49,960
Speaker 1: dollars house. I think maybe three fifty, but it was

1614
01:43:50,000 --> 01:43:53,680
Speaker 1: an old colonial on land close to downtown. And I

1615
01:43:53,720 --> 01:43:56,160
Speaker 1: was just like, this is amazing. You can't even buy

1616
01:43:56,200 --> 01:43:58,519
Speaker 1: a studio apartment in Manhattan for three hundred and fifty

1617
01:43:58,520 --> 01:44:01,920
Speaker 1: thousand dollars one room. Can't even do it. Yeah, you'll

1618
01:44:01,960 --> 01:44:04,960
Speaker 1: basically get a closet for that much money. Yeah, but

1619
01:44:05,040 --> 01:44:10,599
Speaker 1: if you go to Richmond, oh, get the most. Anywhere else,

1620
01:44:10,680 --> 01:44:13,280
Speaker 1: get a beautiful palace. I know when I was in

1621
01:44:13,360 --> 01:44:15,200
Speaker 1: North Carolina, the folks there where I was saying, if

1622
01:44:15,240 --> 01:44:16,920
Speaker 1: I moved in North Carolina, what would be the They

1623
01:44:17,000 --> 01:44:20,679
Speaker 1: kept saying, Wilmington, Wilmington, North Carolina. Say it's on the beach.

1624
01:44:20,720 --> 01:44:25,280
Speaker 1: Beautiful town, great weather, great people. You know. Uh. Donald

1625
01:44:25,320 --> 01:44:30,479
Speaker 1: Trump's son, Eric's wife is actually from there, and she's

1626
01:44:30,760 --> 01:44:33,400
Speaker 1: she's there. She's the proud daughter of the city of Wilmington,

1627
01:44:33,439 --> 01:44:36,759
Speaker 1: North Carolina. Not to be confused with Wilmington, Delaware, because

1628
01:44:36,800 --> 01:44:41,719
Speaker 1: then you're in Delaware, which is not quite as exciting.

1629
01:44:41,720 --> 01:44:43,960
Speaker 1: Although the Delaware beaches are kind of a hidden gem

1630
01:44:44,000 --> 01:44:47,559
Speaker 1: on the East coast. They're very nice. People who don't

1631
01:44:47,560 --> 01:44:50,240
Speaker 1: know don't know, But those Delaware beaches are actually the

1632
01:44:50,600 --> 01:44:55,559
Speaker 1: actual beach. Put aside the whether you like the specific

1633
01:44:55,600 --> 01:44:58,120
Speaker 1: town or not, the beach is quite lovely. I've heard

1634
01:44:58,120 --> 01:45:01,479
Speaker 1: good things about like Rhobeth Beach gets called or a

1635
01:45:01,479 --> 01:45:04,160
Speaker 1: hope of its beautiful. I don't beautiful beach, Yeah for sure.

1636
01:45:04,800 --> 01:45:07,880
Speaker 1: So anyway, Frank, I hope you're right, and I hope

1637
01:45:07,920 --> 01:45:10,680
Speaker 1: that Trump does win the Latino vote, because oh, it

1638
01:45:10,680 --> 01:45:15,800
Speaker 1: would be amazing just to watch the Libs heads explode.

1639
01:45:19,240 --> 01:45:23,360
Speaker 1: So Fernando rights, what's up, Brosiff. So doctor Fauci wants

1640
01:45:23,439 --> 01:45:25,120
Speaker 1: us to know that folks tend to be stupid and

1641
01:45:25,120 --> 01:45:28,640
Speaker 1: careless over the holidays, So mind the mitigation. That's right,

1642
01:45:28,680 --> 01:45:30,639
Speaker 1: you gotta mind a mitigation. You gotta do what everything

1643
01:45:30,680 --> 01:45:33,880
Speaker 1: you can. You gotta make sure that you're doing enough mitigating,

1644
01:45:34,600 --> 01:45:40,600
Speaker 1: You're doing enough of all the of all the mitigation things. Yeah,

1645
01:45:40,680 --> 01:45:44,320
Speaker 1: keeping a mitigation stuff like that. Unless you're gonna be

1646
01:45:44,360 --> 01:45:47,640
Speaker 1: on the cover of a magazine, then you know you

1647
01:45:47,760 --> 01:45:53,679
Speaker 1: gotta do what you gotta do. Gotta mind mitigation. All right, everybody,

1648
01:45:53,720 --> 01:45:57,599
Speaker 1: that's gonna be the show for today. Thank you so

1649
01:45:57,720 --> 01:46:00,639
Speaker 1: much for joining us, for writing in, for hanging out.

1650
01:46:00,840 --> 01:46:03,599
Speaker 1: We appreciate it. As always, please do pass the buck

1651
01:46:04,479 --> 01:46:06,680
Speaker 1: and if you can get us to the younger generation,

1652
01:46:06,720 --> 01:46:09,559
Speaker 1: in particular, if you've got kids that are teenagers, are older,

1653
01:46:10,320 --> 01:46:12,760
Speaker 1: tell them to check out this guy Buck Sexton. We

1654
01:46:12,880 --> 01:46:18,320
Speaker 1: can't just have everybody listening to, you know, random comedian podcast.

1655
01:46:18,400 --> 01:46:22,080
Speaker 1: We need some substance like here, all right, everybody shields

1656
01:46:22,080 --> 01:46:22,120
Speaker 1: I