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Speaker 1: You are entering the freedom hunt. President Trump says a

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Speaker 1: government shutdown maybe a good idea because we got a

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Speaker 1: wall that needs to be built and we shouldn't wait

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Speaker 1: and see what happens in that mid term election. Do

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Speaker 1: Republicans have the backbone to back him on this one? Plus,

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Speaker 1: we've seen what the price tag would be for Medicare

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Speaker 1: for all. The short version is, wow, that would be expensive.

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Speaker 1: It would created the U s economy, and it would

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Speaker 1: turn us into a shadow of our former selves economically.

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Speaker 1: But it sounds cool when Bernie Sanders and others bring

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Speaker 1: it up right. We'll get into that and so much

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Speaker 1: more coming up on The Buck Sexton Show. This is

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

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Speaker 1: to decode what really matters with actionable intelligence. Magnormous day, American,

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Speaker 1: You're a great American Again the buck Sexton Show begins.

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Speaker 1: My administration is working hard to pass border security legislation,

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Speaker 1: improve vetting, and establish a merit based immigration system, which

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Speaker 1: the United States needs very very importantly, very badly as

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Speaker 1: far as the border is concerned, and personally, if we

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Speaker 1: don't get border security after many many years of talk

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Speaker 1: within the United States, I would have no problem doing

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Speaker 1: a shutdown. It's time we had proper border security with

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Speaker 1: a laughing stock of the world. We have the worst

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Speaker 1: immigration laws anywhere in the world. Welcome to the box

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Speaker 1: Acts and show everybody here there the president there making

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Speaker 1: clear what the fight is going to be going forward.

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Speaker 1: He is saying that a shutdown is not something that

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Speaker 1: Republicans should shy away from. That a shutdown so that

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Speaker 1: we can finally get border funding and a change to

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Speaker 1: border security and laws around immigration is necessary. I gotta

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Speaker 1: tell you. If not now, when we always hear, we

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Speaker 1: always hear about the shutdown is gonna come the next time. No, oh,

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Speaker 1: now is not the time. We got an election now,

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Speaker 1: this is this is the McConnell, this is the establishment refrain.

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Speaker 1: It just gets repeated over and over again. No, no no,

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Speaker 1: let's not do the shutdown now. Republicans always get blamed

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Speaker 1: for a shutdown. You know what I think that is,

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Speaker 1: that's a story that we hear from the media that

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Speaker 1: we should we should at least question, if not discard.

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Speaker 1: I don't buy it. I don't buy it. I don't

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Speaker 1: think that it is in act the case that Republicans

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Speaker 1: would get blamed the media is gonna say we get

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Speaker 1: blamed for shutdown. The media also said that Helsinki that

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Speaker 1: Trump's meeting with Putin was such a disaster that his

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Speaker 1: presidency would never recover. And you know, does don't even

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Speaker 1: remember Helsinki, did any anyone even have you know, any

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Speaker 1: any part of that that they look at now and

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Speaker 1: they say, oh my gosh, how could Trump have been

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Speaker 1: such a such a savage. I think it all went fine, actually,

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Speaker 1: and it wasn't great. The optics of it weren't amazing,

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Speaker 1: but nothing really happened, and we've all moved on from it,

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Speaker 1: and maybe the policies he discussed with Putin were constructive

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Speaker 1: and helpful in their own way. No, we we just

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Speaker 1: we just don't really know yet. But they said that was,

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Speaker 1: oh my gosh, that was the worst thing that had

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Speaker 1: ever that had ever happened. I mean, that was some

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Speaker 1: that was some next level of of terrible. And looking

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Speaker 1: now at what they're saying about a shutdown, I just

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Speaker 1: have to I just want to put it out there, folks,

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Speaker 1: are we're really gonna take advice from the other side.

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Speaker 1: You know, what happens if the Democrats take the House

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Speaker 1: starting in all we you know, we'll have all this

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Speaker 1: stuff on impeachment and that'll suck up all the auction

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Speaker 1: in the room. If you want very little to get

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Speaker 1: accomplished between now and President Trump's reelection effort. At least

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Speaker 1: from a congressional point of view, Trump can still do

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Speaker 1: what he does. But from a congressional point of view,

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Speaker 1: then yeah, let's wait till after the midterms. McConnell always

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Speaker 1: wants to wait until after the mid terms. I don't

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Speaker 1: I don't see how that's going to be a I

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Speaker 1: don't think that's a good idea. In fact, our our

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Speaker 1: our friend here, ms Ann Coulter, who you know, people

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Speaker 1: don't give Ann of enough credit on this issue. Trump's

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Speaker 1: whole argument on immigration, and there was a time when

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Speaker 1: he would talk about this publicly. But Trump's argument on

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Speaker 1: immigration was largely borrowed from an older's book, Audios America.

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Speaker 1: This isn't just a theory. I mean, I know, this

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Speaker 1: was what was going on at the time. Trump read

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Speaker 1: that book and borrowed the arguments from it and defeated

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Speaker 1: you know, sixteen other GOP candidates and is the one

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Speaker 1: who went on the Bill Maher show when there were

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Speaker 1: all seventeen golp opals and said, you know who's the

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Speaker 1: most likely to win, Donald Trump, and was booed and

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Speaker 1: heckled and a ha ha unlike that room for I

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Speaker 1: mean the bill maher audience is the true hyena arena.

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Speaker 1: I mean, they are as bad as it gets. But

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Speaker 1: you know, I and went in there and she said that,

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Speaker 1: and of course she was prophetic, not just correct, but prophetic.

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Speaker 1: And here's what she says about this wall situation played

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Speaker 1: for with these endless on flaws with oh, it was

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Speaker 1: the unaccompanied children, and and and now with oh, they

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Speaker 1: might they can't be separated from their parents, you know,

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Speaker 1: the coyotes and drug dealers. Um. We can't keep fighting

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Speaker 1: the entire msm um, the entire donor class, the Democrats,

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Speaker 1: the Republicans. That's why we wanted a wall. We need

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Speaker 1: a rat. If he build the wall, the media will

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Speaker 1: book go crazy, it will distract over everything, and his

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Speaker 1: poll numbers will go through the roof. I think she's right.

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Speaker 1: I think she's right. And I also think that uh,

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Speaker 1: that n is somebody who doesn't get enough credit for

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Speaker 1: seeing which seeing which way things gonna go with Trump.

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Speaker 1: You know, I do not like this. I do not

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Speaker 1: like this notion that Trump shouldn't fight here. And and

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Speaker 1: the Republicans are already they're already brought in for the exits.

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Speaker 1: That's not the way that it should be. New whatever

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Speaker 1: that's worth, new degrees with me, Play five. He's gotta

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Speaker 1: be firm if if, if this is the fight he wants,

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Speaker 1: he's got to go to the country. He's got to

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Speaker 1: explain it. He's got to tie it to illegal criminals

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Speaker 1: and to people who we know for fast facts. I mean,

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Speaker 1: you go around the country, you find these incidents, uh,

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Speaker 1: people who have been killed, people who have been tortured,

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Speaker 1: people who have been raped. Uh. And did you look

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Speaker 1: at the total volume of fentanyl and of opioids that

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Speaker 1: come in across the border. And I think the President

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Speaker 1: can make a very strong case. We have over sixty

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Speaker 1: thousand Americans a year dying of drug overdoses, a large

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Speaker 1: percentage of that tied directly to illegal drugs crossing the border.

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Speaker 1: And you're gonna tell me that there's not there's not

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Speaker 1: a political will or or enough of a political movement

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Speaker 1: to do something about it. I refuse to believe that.

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Speaker 1: I I certainly hope that's not the case. I do

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Speaker 1: not believe that is the case. But Trump has to

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Speaker 1: fight Democrats are willing to. They're willing to, uh let

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Speaker 1: America dissolve through open borders, through a dissolution of American culture,

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Speaker 1: through a you know, one thing that I thought was

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Speaker 1: really interesting. I'll I'll take a moment from this. This

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Speaker 1: is not really a monologue mode here. I'm just this

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Speaker 1: is just Buck talking to you. For a minute. I

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Speaker 1: thought this was so interesting. I was speaking to a

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Speaker 1: former US ambassa sor to Mexico. And this is a

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Speaker 1: guy who's very favorably disposed, disposed towards the Mexican people,

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Speaker 1: obviously a fluent, fluent Spanish speaker, and uh, you know,

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Speaker 1: is lived there for many, many, many years, and on

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Speaker 1: top of being ambassador. And I just said, why do

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Speaker 1: we have thirty thousand plus murders a year in Mexico?

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Speaker 1: Another statistic you don't hear much about murder murder rate

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Speaker 1: in Mexico higher than it's ever been. You look at

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Speaker 1: the murder rate for uh, the worst murder rates in

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Speaker 1: the world in terms of cities that are not in

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Speaker 1: a state of war, right, just that are cities that

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Speaker 1: have have criminal homicidnes a lot of them are in

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Speaker 1: Latin America, and a lot of them are happening to

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Speaker 1: be at the very top of the in Mexico specifically.

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Speaker 1: But I asked, I said, so, why does Mexico with

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Speaker 1: a neighbor to its north that's the wealthiest, most powerful

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Speaker 1: country in the world, that is a benevolent neighbor. I

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Speaker 1: know people, Oh no, yeah, we are benevolent neighbor. And

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Speaker 1: you know, Mexico doesn't really have any real national security concerns.

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Speaker 1: I don't have to worry about being invaded. It doesn't

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Speaker 1: you know, why is it so the government so dysfunctional?

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Speaker 1: And I just asked, I just want to know, because

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Speaker 1: I'm not a lot in America. Guy, I don't speak Spanish.

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Speaker 1: I'm not a lot of America specialists. I know more

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Speaker 1: about the Middle East than I do about Mexico. And

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Speaker 1: he said, well, you can start with the fact that

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Speaker 1: a very small percentage of um Mexican murders are solved

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Speaker 1: and prosecuted and then extrapolate that down. I think he

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Speaker 1: said it was three percent, By the way, I mean,

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Speaker 1: it was a shockingly known low number. It's so low

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Speaker 1: that I feel like I must have misheard him and

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Speaker 1: maybe I did, but I think he said three percent.

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Speaker 1: Maybe it was thirty, but I think he said to repersent,

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Speaker 1: which think about that murders a year in that country

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Speaker 1: and three percent of them are solved prosecuted. Um. And

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Speaker 1: then he said it's really a rule of law issue

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Speaker 1: and that culturally the rule of law is viewed differently.

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Speaker 1: And I said, well, what does that mean exactly? And

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Speaker 1: then the microphones came out and it was time to

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Speaker 1: sit into the interview, and we didn't really get to

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Speaker 1: get into it, but I thought that was very insightful.

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Speaker 1: The rule of law is viewed differently. Mm hmm. I

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Speaker 1: think people that's want to have to chew on a

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Speaker 1: bit more. But why is Mexico so dysfunctional? Because people

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Speaker 1: have a belief that they don't have to obey the

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Speaker 1: rules and they won't be punished if they don't, and

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Speaker 1: that there's this is kind of the cultural sense of

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Speaker 1: you know, do you do you stop at a stop

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Speaker 1: sign just because there's a stop sign, or do you

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Speaker 1: always check and see if they're ops are gonna catch you.

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Speaker 1: If your first impulse is to always see if there

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Speaker 1: are cops around to enforce it, that's that means something.

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Speaker 1: But you know, we're we're fighting this that's just an

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Speaker 1: a cyber we we're fighting this battle over over the

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Speaker 1: wall and over dealing with immigration in our southern border,

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Speaker 1: and we don't have time, we don't have the ability

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Speaker 1: to delay this um that the Democrats are willing to

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Speaker 1: not just amnesty the eleven million people that are in

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Speaker 1: this country illegally, just wholesale amnesty them, but also to

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Speaker 1: encourage more entrance all the time. I mean the stuff

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Speaker 1: that when you when you think about how you have

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Speaker 1: people that are putting their children and themselves in jeopardy

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Speaker 1: and breaking the law to come to our southern border

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Speaker 1: and use children as props to get into the country

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Speaker 1: in some cases, right, they're willing to uh to use

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Speaker 1: children as the wedge that will launch them into into America,

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Speaker 1: into the in a ear. And you think of what

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Speaker 1: the Democrats are thing to say about immigrations and customs

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Speaker 1: enforcement agents and the Trump administration their Nazis, this is

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Speaker 1: the Ghoulag, this is prison for babies. All this stuff

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Speaker 1: not taking into account that a lot of immigration and

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Speaker 1: customs enforcement are actually former military, so they're really just

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Speaker 1: spitting on veterans who are working in immigrations and customs enforcement.

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Speaker 1: Now they don't think twice about that at all. I

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Speaker 1: think the Democrats are lost on this issue, meaning that

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Speaker 1: I think that they think will never turn back and

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Speaker 1: become a party of rule of law at the border.

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Speaker 1: They have given up. They have decided that, or not

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Speaker 1: given up. They've embraced. They've embraced this notion of importing

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Speaker 1: new voters to replace the ones of this country that

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Speaker 1: won't go along with them. And we all understand this,

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Speaker 1: and the Democrats they won't like this, they won't want

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Speaker 1: to hear about it. But uh, people that come to

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Speaker 1: the country from the third World not speaking English are

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Speaker 1: going to need And I really lose my patience with

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Speaker 1: these people. Oh no, every they contribute ordered to g

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Speaker 1: d P. Yeah, that's just like saying they do things.

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Speaker 1: Everyone does something. Everyone has to be involved in some

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Speaker 1: kind of activity. Yeah, they buy things, they eat things,

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Speaker 1: they do things. Sure they can they contribute to GDP

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Speaker 1: in some way. But if you're looking at in the aggregate,

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Speaker 1: are we better off by bringing in people who won

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Speaker 1: Their first act on us soil is to violate the

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Speaker 1: rule of law that is there, that is buying definition,

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Speaker 1: Their first act is to disregard our laws and then

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Speaker 1: are told that they are owed something once they get

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Speaker 1: to this country because we're not doing a good enough

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Speaker 1: job giving them stuff as a country. Right, that's the

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Speaker 1: Democrat line. Now, Oh, they're not you know, we need

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Speaker 1: to give them Obamacare, and we need to give them

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Speaker 1: free school, we need to give them free college. We

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Speaker 1: need and we think that this is going to be

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Speaker 1: better for a country that's already twenty trillion dollars in debt.

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Speaker 1: How I returned to a central theme of the show

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Speaker 1: these days, the Democrats are un serious but dangerous and

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Speaker 1: and I think that the shutdown. I think the shutdown

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Speaker 1: needs to happen before before the election. If we will

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Speaker 1: not fight now, when will we fight. If we're not

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Speaker 1: going to make a stand, I don't know if there's

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Speaker 1: ever gonna be a chance after this, folks. I'm really

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Speaker 1: I'm not gonna sit here and do the whole Oh,

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Speaker 1: it is the most important election of our lifetime. Everyone

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Speaker 1: says about every election. It's the biggest cliche in politics.

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Speaker 1: I get that on the issue of a wall, you

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Speaker 1: either make a stand now or it's never going to happen.

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Speaker 1: I can't guarantee you I'm right on this one, but man,

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Speaker 1: I would put serious money down on it. What do

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Speaker 1: you think the wall is gonna happen the Democrats take

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Speaker 1: the House. Please if it doesn't happen now, it's never

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Speaker 1: gonna happen. If it never happens, the country is sliding

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Speaker 1: deeper and deeper into an open border status where it

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Speaker 1: will cease to be America. That we know, just the

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Speaker 1: just the reality, folks, eight four four n eight to five.

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Speaker 1: You want to chat? Eight four? Fuck? Do you agree

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Speaker 1: with me? Should Trump push for the shutdown? Or am

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Speaker 1: I being too aggressive? Am I being a little too

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Speaker 1: buck wild? Here? Let me know and we will be

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Speaker 1: right back. But that's stuff that President Trump just came

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Speaker 1: back to say we need to put this to rest.

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Speaker 1: He's been saying this all the time. And if anybody

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Speaker 1: who has any to do with President Trump is watching this,

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Speaker 1: please send him this message. There's two point six percent

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Speaker 1: economic growth. It is for one quarter. You can spike

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Speaker 1: growth for a quarter all sorts of times. In fact,

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Speaker 1: do you know how many times during President Obama's eight

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Speaker 1: years growth was two point six percent or higher? Four quarters,

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Speaker 1: four quarters, teen times during President Obama's administration, growth was

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Speaker 1: two point six percent or higher. Eight times it was

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Speaker 1: three percent or higher. So Donald Trump just has to

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Speaker 1: get off of this GDP kick. It's just nonsensical and

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Speaker 1: it's it's it's disingenuous. I don't know. He needs to

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Speaker 1: get off of it to save himself, if he himself,

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Speaker 1: if he puts himself in a situation, if we budget

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Speaker 1: the US, if McK milvaney puts a budget in place,

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Speaker 1: assuming that we're gonna face three percent GDP, We're not

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Speaker 1: going to That is a goal, not a baseline. And

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Speaker 1: if you want to disappoint the American people, tell them

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Speaker 1: they're going to get that, because guess what, that's not real.

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Speaker 1: Like I've been worried for some time, we may be

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Speaker 1: seeing a kind of sugar high, and that sugar highs

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Speaker 1: tend to be followed by much less happy periods. Certainly,

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Speaker 1: if you use the standard of what the administration has

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Speaker 1: held out, the hope for three to four percent growth,

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Speaker 1: there is nothing in any data suggesting that we're moving

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Speaker 1: towards that three to four percent growth standards. So they

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Speaker 1: haven't folks. That's pretty much Carvers. Before you got MSNBC

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Speaker 1: with a couple of like UH markets experts there, uh

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Speaker 1: saying that, well, producer, Mike, when was that from? That

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Speaker 1: was obviously early on this year, right back when the

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Speaker 1: budgets were coming out. I can't hear you, buddy, but

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Speaker 1: fair enough. Um, so yeah, that was that was a

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Speaker 1: while back. And then so so originally it was we're

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Speaker 1: never gonna get there, and now it's we're not gonna

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Speaker 1: stay there. It's almost like Trump can't win right when

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Speaker 1: it was when it was advantageous for the anti Trump

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Speaker 1: media to say we're never gonna hit the projection of

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Speaker 1: four percent that he said we're gonna hit months ago,

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Speaker 1: that was the refrain. Now that we've hit four percent, Oh,

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Speaker 1: we're not gonna stay with four percent. That's not gonna

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Speaker 1: because here's the real problem. They can't beat Trump on

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Speaker 1: the economy right now. They have no real argument to make.

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Speaker 1: And we all still remember the hostility of the Obama

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Speaker 1: era to private enterprise, private property, small business. There was

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Speaker 1: a real hostility to those things, particularly in the form

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Speaker 1: of government intervention via regulation. And so we see this

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Speaker 1: now as people who have lived through what it means

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Speaker 1: to have the government way to involve in in our business,

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Speaker 1: like literally up in our biz. So just just note

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Speaker 1: that all these people that are saying this stuff, they're

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Speaker 1: telling you what they want to believe, not what is reality.

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Speaker 1: But I'm here to give you reality. We've got some

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Speaker 1: interesting numbers on what medicare for all would be, like

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Speaker 1: we'll get their team stay with me. He's holding the

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Speaker 1: line for America. Buck Sexton his back and he said

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Speaker 1: not by cash interruption coin sais no, no, but and

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Speaker 1: then Trump says check immediately it's cut off. Click. Next

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Speaker 1: thing you hear is Don Jr. He must be talking

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Speaker 1: to Don Jr. But that's erased also, so seeah, he

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Speaker 1: raised him and the expert. The expert is going through

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Speaker 1: and trying to figure out a few things that can

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Speaker 1: be very hard to figure out, like it is just

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Speaker 1: a recording of a recording. Did he cut it off

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Speaker 1: at the time or did he go back into his

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Speaker 1: little laboratory or whatever the hell he had and cut

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Speaker 1: it off. It's wild and crazy and they're out of

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Speaker 1: their minds. He did. He did not participate in any

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Speaker 1: meeting about the Russians transaction. The other people at the

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Speaker 1: meeting that he claims he had without the president about

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Speaker 1: it say he was never there. Uh, and there are

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Speaker 1: at least four separate witnesses who say that against a

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Speaker 1: guy has been kind of proven to be one of

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Speaker 1: the biggest layers in America. You tell me a lawyer

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Speaker 1: is taping his client, the guy is unethical, He's a scumbag,

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Speaker 1: He's a horrible person. I've never heard of a lawyer

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Speaker 1: taping his client without the client's consent. I never heard

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Speaker 1: of person like Cohen doing what he did to Chris Como,

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Speaker 1: coming into his office in this building, taking out his phone,

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Speaker 1: putting it away and saying I'm not recording it, and

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Speaker 1: then recording it for two hours. Cohen is shady, folks,

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Speaker 1: no question about it. Uh, going is shady there. You

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Speaker 1: had Rudy Giuliani out there making the case about this,

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Speaker 1: and uh, you know that there's there's such a media

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Speaker 1: fascination with this one. I don't think it's really go

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Speaker 1: anywhere because I don't believe that Cohen has anything on

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Speaker 1: Trump to give, which means that at the end of

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Speaker 1: all this, Cohen will have not just burn he will

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Speaker 1: have have nuked Abridge, so to speak. He will have

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Speaker 1: completely obliterated any relationship that he has with the most

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Speaker 1: powerful man in the country right now, Uh, and we'll

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Speaker 1: have put the country through a real barrage of just

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Speaker 1: sordid the whole thing. I gotta agree with Giuliani. A

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Speaker 1: lawyer who records his clients. That's terrifying. I mean this

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Speaker 1: is up there with like a you know, a doctor

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Speaker 1: who sets up a camera in the examination room for kicks.

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Speaker 1: I mean, this is really bad. And you know, I

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Speaker 1: I see this now as as a point of media

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Speaker 1: fascination because they're saying and this was the big storyline

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Speaker 1: that I don't think we actually even have this sound

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Speaker 1: by But it doesn't matter. I'll tell you what it

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Speaker 1: was that whenever Juliani says collusion is not a crime,

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Speaker 1: they're pushing him on this and they're saying, well, uh,

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Speaker 1: there's now that they're preparing to tell us that collusion happened.

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Speaker 1: That's just not true. Um. And you have former Bush

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Speaker 1: administration spokesperson Nicole Wallace. There's one of these people who

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Speaker 1: has now found a home at MSNBC by being a

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Speaker 1: complete and an absolute Trump basher, which I don't think

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Speaker 1: is I don't think she would disagree with that as

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Speaker 1: a description. I mean she she clearly bashes the president

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Speaker 1: all the time, and she may say critiques or criticizes,

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Speaker 1: but um, here you have this whole fight that's coming

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Speaker 1: up over over over collusion, whether collusion happened, and they're

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Speaker 1: already moving the goalposts on this one. I want you

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Speaker 1: to be very clear on what's gonna happen here. They're

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Speaker 1: gonna say that even if no crime was committed here,

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Speaker 1: that there was, that it was unethical to take the meeting,

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Speaker 1: and so that alone is going to turn into a

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Speaker 1: call for impeachment if they take the house, by the way,

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Speaker 1: forget about all that stuff. Remember Rod Roden seeing the

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Speaker 1: d J a week ago. Oh my gosh, you didn't

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Speaker 1: commit a crime. You can't sell him all. You can't.

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Speaker 1: You can't take him out of office. No crime, no crime.

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Speaker 1: Impeachment for Rosenstein because they like him, needs to be

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Speaker 1: a criminal offense or else there's nothing there. Impeachment for

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Speaker 1: Trump is going to be a political offense. And I

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Speaker 1: actually think that impeachment power has always had a political

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Speaker 1: component to it. Yeah, you know, if you are if

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Speaker 1: you kill a bunch of people in a drunken rage,

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Speaker 1: you should be able to be impeached and then prosecutor

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Speaker 1: if your president. But also if you're just engaged in

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Speaker 1: unseemly and corrupt behavior Senate, with the with the House,

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Speaker 1: they mean they should be able to impeach and then

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Speaker 1: remove you. That that is something that that is very real.

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Speaker 1: And as I as I read to you people in

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Speaker 1: the federal bench, federal government officials have been impeached in

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Speaker 1: the past for non criminal behavior. So they are trying

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Speaker 1: to make the case right now, they're trying to lay

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Speaker 1: the groundwork for collusion, which isn't a crime, it is

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Speaker 1: a concept. It's a narrative. They're going to make the

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Speaker 1: case that the collusion narrative is enough on its own

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Speaker 1: to warrant impeachment if Democrats take the majority in the House.

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Speaker 1: That's where this is all heading um at. And they're

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Speaker 1: also saying, remember we we've learned almost nothing new about

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Speaker 1: this Trump Tower meeting. All we have that's new, that's

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Speaker 1: gotten this injected into the new cycle is that is

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Speaker 1: that Cohen says. And now a guy who's a proven liar,

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Speaker 1: who has a lot of incentive, not just he's not

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Speaker 1: just a liar, has a lot of incentive to lie

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Speaker 1: right now, the dirsh Dursch waited on this one play three.

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Speaker 1: Of course, he'd much prefer to remain loyal to President Trump,

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Speaker 1: but prosecutors have him in a squeeze. Uh. They may

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Speaker 1: have information about his taxi medallions, about other kinds of issues,

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Speaker 1: and that's what they're doing with Manaford too. Manafort apparently

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Speaker 1: made a lot of money doing this consulting stuff for Russia.

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Speaker 1: I gotta say I didn't realize it was that it

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Speaker 1: was that kind of lucrative. Um Bloomberg says. Manaford here

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Speaker 1: made more than sixty million dollars as a political consultant

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Speaker 1: in Ukraine. Producer Mike, we are in the wrong business,

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Speaker 1: did you know this? We should apparently be in the

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Speaker 1: shady political consultant business. We'd be great, dude, We'd be great.

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Speaker 1: You know. You'd be the muscle. I'd be the I'd

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Speaker 1: be the bagman. I'd be go collecting the contributions, and

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Speaker 1: you'd come in with two guys named Uri and Oleg

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Speaker 1: and they'll do anything. You say. Sixty million, dude, we

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Speaker 1: could retire on that. Yeah, but we're too honest for that. Buck.

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Speaker 1: I know we're good guys. We could never a you're

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Speaker 1: kidding me, dude. He he'd he'd bring out, he'd bring

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Speaker 1: out cash and and Cash would just start just start

428
00:25:19,640 --> 00:25:21,919
Speaker 1: being all all cute and cuddly to the bad guys

429
00:25:21,920 --> 00:25:24,159
Speaker 1: and it just wouldn't work. And stick my cockapool on you.

430
00:25:25,960 --> 00:25:27,920
Speaker 1: Sick my cockapool on you. That's the first time I've

431
00:25:27,960 --> 00:25:32,160
Speaker 1: ever heard that. Um yeah, I forgot you. I forgot

432
00:25:32,200 --> 00:25:36,760
Speaker 1: you have a cockapoo. That is quite a dog name. So, oh,

433
00:25:36,760 --> 00:25:38,600
Speaker 1: by the way, for this is a total aside, folks,

434
00:25:38,640 --> 00:25:41,439
Speaker 1: if you have not seen this, and this is one

435
00:25:41,480 --> 00:25:43,200
Speaker 1: of my frustrations on radio. This is why, by the way,

436
00:25:43,200 --> 00:25:45,560
Speaker 1: we're gonna start streaming some of the show. That's another

437
00:25:45,680 --> 00:25:48,160
Speaker 1: fun thing that's coming up soon. Um so that we're

438
00:25:48,160 --> 00:25:50,320
Speaker 1: gonna have more video components to this radio show for

439
00:25:50,320 --> 00:25:51,640
Speaker 1: those of you that are into that kind of thing.

440
00:25:52,560 --> 00:25:54,159
Speaker 1: Um So, I can actually show you photos of the

441
00:25:54,200 --> 00:25:58,480
Speaker 1: cockapoo for example. But there was a a video that

442
00:25:58,520 --> 00:26:02,600
Speaker 1: went completely via over the weekend of a dog and

443
00:26:02,600 --> 00:26:04,480
Speaker 1: I didn't get much details on it doesn't matter. A

444
00:26:04,560 --> 00:26:08,320
Speaker 1: dog that's in someone's yard that took a go pro

445
00:26:08,520 --> 00:26:10,360
Speaker 1: and is holding it in its mouth, so it has

446
00:26:10,400 --> 00:26:12,760
Speaker 1: the GoPro camera and is running with it in its mouth.

447
00:26:12,880 --> 00:26:15,000
Speaker 1: You can see the dog's face, its eyes and then

448
00:26:15,040 --> 00:26:16,800
Speaker 1: see behind it, and you see the human beings that

449
00:26:16,840 --> 00:26:20,000
Speaker 1: are trying to chase after it. It's just I can't

450
00:26:20,000 --> 00:26:21,720
Speaker 1: do a justice except to say that you've got to

451
00:26:21,720 --> 00:26:23,720
Speaker 1: watch it. It's like a minute of your life that

452
00:26:23,840 --> 00:26:26,760
Speaker 1: is well spent. Watching this dog run around with a

453
00:26:26,800 --> 00:26:30,240
Speaker 1: GoPro in its mouth is really funny. So see, there's

454
00:26:30,240 --> 00:26:32,920
Speaker 1: there's happy things in life too, folks. That's why people

455
00:26:32,920 --> 00:26:34,399
Speaker 1: come to this show. I give them the heavy, but

456
00:26:34,440 --> 00:26:37,320
Speaker 1: I also give them the happy. You know, some shows

457
00:26:37,359 --> 00:26:40,560
Speaker 1: it's always you know, the country is going to the crapper.

458
00:26:40,720 --> 00:26:44,200
Speaker 1: It's terrible what's happening here? Oh my gosh, the Problicans

459
00:26:44,280 --> 00:26:47,520
Speaker 1: have sold Some days I feel like that too, And

460
00:26:47,560 --> 00:26:49,320
Speaker 1: some days that's even how I sound. But I don't

461
00:26:49,320 --> 00:26:50,840
Speaker 1: know how people can sound like that all the time.

462
00:26:51,359 --> 00:26:54,520
Speaker 1: Oh let's take Colors, the phone company selling us out.

463
00:26:54,560 --> 00:26:58,440
Speaker 1: They're destroying us peace. It seems a little seems a

464
00:26:58,440 --> 00:27:01,639
Speaker 1: little excessive to me. All back to Cohen and Manifort

465
00:27:01,680 --> 00:27:04,480
Speaker 1: and oh my, so you know, Cohen's gonna say whatever

466
00:27:04,480 --> 00:27:06,200
Speaker 1: he has to say right now because he's just trying

467
00:27:06,200 --> 00:27:08,600
Speaker 1: to butter up the prosecutors because they've definitely got him

468
00:27:08,600 --> 00:27:11,520
Speaker 1: on something. There's no question in my mind, because when

469
00:27:11,520 --> 00:27:13,600
Speaker 1: you're a if you're a lawyer who is stooping to

470
00:27:14,880 --> 00:27:19,679
Speaker 1: recording your own clients, they got you. They got you

471
00:27:19,720 --> 00:27:21,359
Speaker 1: on something. I don't know what they've got you on,

472
00:27:21,440 --> 00:27:24,959
Speaker 1: but they got you. Uh. And so that's why anything

473
00:27:24,960 --> 00:27:26,840
Speaker 1: that he says can't really be taking all that seriously.

474
00:27:27,800 --> 00:27:29,720
Speaker 1: He says Trump knew about the Trump tar meeting. I

475
00:27:29,800 --> 00:27:32,479
Speaker 1: still I take the the same line that Andy McCarthy has.

476
00:27:32,480 --> 00:27:35,040
Speaker 1: In fact, when Andy was first dealing with this issue,

477
00:27:35,080 --> 00:27:38,879
Speaker 1: he was on this show. Um, he was on this show,

478
00:27:39,119 --> 00:27:43,560
Speaker 1: and you know, I agree with him and that collusion

479
00:27:43,600 --> 00:27:46,280
Speaker 1: is not a crime. And it may seem ikey to

480
00:27:46,359 --> 00:27:49,199
Speaker 1: meet with a foreign government that's offering, but remember she

481
00:27:49,320 --> 00:27:53,360
Speaker 1: wasn't really a She wasn't a member of the Russian government.

482
00:27:53,359 --> 00:27:58,679
Speaker 1: This Natalia vezl Nitskaya was an intermediary the Russian person

483
00:27:59,480 --> 00:28:01,479
Speaker 1: that hasn't for nation. And I just feel like if

484
00:28:01,520 --> 00:28:03,840
Speaker 1: we took the Russian thing out of this, if if

485
00:28:03,880 --> 00:28:10,680
Speaker 1: the Hillary Clinton campaign heard that a French national had

486
00:28:11,040 --> 00:28:17,320
Speaker 1: information on Donald Trump's financial dealings in the court as

487
00:28:17,800 --> 00:28:22,560
Speaker 1: is many feet was a crab and as a man,

488
00:28:22,600 --> 00:28:26,440
Speaker 1: I need a vacation. But you know, if some French guy,

489
00:28:26,840 --> 00:28:28,840
Speaker 1: call him Jean Philippe, because I want to get into

490
00:28:28,880 --> 00:28:33,240
Speaker 1: character here. If Jean Philippe had information about Trump's financial

491
00:28:33,240 --> 00:28:35,800
Speaker 1: dealings that could that could throw the election of Hillary,

492
00:28:36,000 --> 00:28:39,440
Speaker 1: you're gonna tell me Hillary, Hello, she's not gonna actually

493
00:28:40,400 --> 00:28:43,440
Speaker 1: try to get that information. That her campaign's gonna say, no, sorry,

494
00:28:43,480 --> 00:28:46,800
Speaker 1: your foreigner. Come on. Not only do we know that's

495
00:28:46,840 --> 00:28:51,520
Speaker 1: not true in the hypothetical, in reality, we know that

496
00:28:51,640 --> 00:28:57,920
Speaker 1: the Trump administration, I'm sorry that the Clinton campaign paid

497
00:28:57,920 --> 00:29:00,960
Speaker 1: a foreigner to use foreign so horses to not just

498
00:29:01,080 --> 00:29:03,680
Speaker 1: turn the press against Trump, but to weaponize the FBI

499
00:29:03,720 --> 00:29:07,239
Speaker 1: against him via the dossier. So all this holier than

500
00:29:07,280 --> 00:29:10,400
Speaker 1: Now collusion stuff is really hard for me to take.

501
00:29:10,480 --> 00:29:11,920
Speaker 1: It's I just don't need to hear it. I think

502
00:29:11,960 --> 00:29:14,320
Speaker 1: it's all a bunch of a bunch of claptrap, a

503
00:29:14,360 --> 00:29:18,800
Speaker 1: bunch of malarkey. You find some other like Scottish Irish phrases?

504
00:29:18,880 --> 00:29:21,440
Speaker 1: Is it is malarkey? Scottish or Irish? Producer Mike his

505
00:29:21,560 --> 00:29:23,440
Speaker 1: last name, We call him Quinn too because of his

506
00:29:23,520 --> 00:29:27,640
Speaker 1: last name. Hey, Quinn, Malarkey's Irish, right, It's not Scottish.

507
00:29:28,400 --> 00:29:31,440
Speaker 1: What's the Scottish equivalent? Of malarkey. That's a good question.

508
00:29:31,720 --> 00:29:33,640
Speaker 1: It probably has it probably has an F bomb in it.

509
00:29:33,680 --> 00:29:35,240
Speaker 1: But like you know, we should find out what the

510
00:29:35,240 --> 00:29:38,520
Speaker 1: Scottish version of malarkey is because it would be a

511
00:29:38,520 --> 00:29:42,240
Speaker 1: fun thing to say on air. Um. Yeah, I feel

512
00:29:42,240 --> 00:29:44,560
Speaker 1: like Clint Eastwood in in the Line of Fire when

513
00:29:44,600 --> 00:29:47,760
Speaker 1: he just says I liked I like the term cacamamie.

514
00:29:47,800 --> 00:29:51,480
Speaker 1: We should bring it back. It's kacammie. He just decides

515
00:29:51,480 --> 00:29:53,160
Speaker 1: that that's something a word they should bring back. That's

516
00:29:53,200 --> 00:29:56,000
Speaker 1: how I feel about malarkey. And I also I'm trying

517
00:29:56,040 --> 00:29:59,000
Speaker 1: to spread an incompoopery, which is a great word too,

518
00:29:59,000 --> 00:30:03,760
Speaker 1: which is fun to say. Um eight four four two five.

519
00:30:03,760 --> 00:30:05,240
Speaker 1: I said, I would say we had a whole bunch

520
00:30:05,280 --> 00:30:06,920
Speaker 1: of lines live if we still have some lines, because

521
00:30:06,960 --> 00:30:08,840
Speaker 1: sometimes when I talk, people like, okay, buck, you're not

522
00:30:08,840 --> 00:30:11,600
Speaker 1: gonna shut up, so I'm gonna drop. But if we

523
00:30:11,680 --> 00:30:13,840
Speaker 1: can will take if people were patient, when they will

524
00:30:13,840 --> 00:30:17,600
Speaker 1: take some calls after the break, and then I've got

525
00:30:17,640 --> 00:30:19,160
Speaker 1: a lot more to talk to you about, folks, because

526
00:30:19,200 --> 00:30:25,360
Speaker 1: we've got the uh, the cost of medicare for all,

527
00:30:25,560 --> 00:30:27,600
Speaker 1: the cost of medicare for all, who wants to take

528
00:30:27,600 --> 00:30:30,400
Speaker 1: a guess is it a lot? Is it too much

529
00:30:31,600 --> 00:30:33,680
Speaker 1: to want? Too cold? Just right? We will we will

530
00:30:33,680 --> 00:30:47,960
Speaker 1: handle that anymore, coming right up. We are doing a

531
00:30:48,000 --> 00:30:50,680
Speaker 1: phenomenal job. We're setting records, but we have laws that

532
00:30:50,720 --> 00:30:55,520
Speaker 1: don't work, so we're working around those laws. And it's unfortunate.

533
00:30:55,600 --> 00:30:58,520
Speaker 1: I have to take my head off to the border

534
00:30:58,560 --> 00:31:03,360
Speaker 1: patrols for the enforcement to Ice, which really has been

535
00:31:03,400 --> 00:31:06,600
Speaker 1: maligned by the Democrats. The job they do. They go

536
00:31:06,680 --> 00:31:11,880
Speaker 1: into these MS thirteen nests, the nests of bad, bad people,

537
00:31:11,960 --> 00:31:15,240
Speaker 1: killers in many cases, and they go in there fearless

538
00:31:15,280 --> 00:31:17,400
Speaker 1: and they do an incredible job and they get them out.

539
00:31:17,800 --> 00:31:20,040
Speaker 1: They go to jail, or they get out of the country.

540
00:31:20,080 --> 00:31:22,240
Speaker 1: So I want to just take my hat off to

541
00:31:22,400 --> 00:31:25,600
Speaker 1: Ice and the brave people that have really been maligned

542
00:31:25,640 --> 00:31:28,880
Speaker 1: by the Democrats. I don't even know. The President said

543
00:31:28,880 --> 00:31:30,520
Speaker 1: that earlier today, and I totally agree with them. And

544
00:31:30,560 --> 00:31:32,720
Speaker 1: I've been saying all along there are maligning immigrations and

545
00:31:32,760 --> 00:31:36,400
Speaker 1: customs and forcing the Democrats. It's it's they are shameless

546
00:31:36,440 --> 00:31:39,080
Speaker 1: and it is shameful what they are doing. We got

547
00:31:39,120 --> 00:31:40,720
Speaker 1: double Wayne on the line right now. We've got a

548
00:31:40,760 --> 00:31:43,520
Speaker 1: Wayne or Wayne. Let's start with the Wayne in Charleston.

549
00:31:43,560 --> 00:31:48,160
Speaker 1: What's up, Wayne? Are you in Charleston, South Carolina? Yes,

550
00:31:49,120 --> 00:31:52,360
Speaker 1: Sheields hither sields high. You're you're in Charleston, South Carolina.

551
00:31:52,400 --> 00:31:55,080
Speaker 1: It's one of my favorite cities in the whole country. Man,

552
00:31:55,160 --> 00:31:57,160
Speaker 1: it is mine too. I was first stationed down here

553
00:31:57,200 --> 00:32:00,280
Speaker 1: in the eighties and and I just moved back about

554
00:32:00,280 --> 00:32:03,680
Speaker 1: a year ago. It's lovely, great, great food, beautiful town,

555
00:32:03,720 --> 00:32:07,440
Speaker 1: beautiful ladies. I'm a big Charleston fam what's on your mind? Wayne? Uh? Hey,

556
00:32:07,480 --> 00:32:09,040
Speaker 1: I this one to agree with you on this. Man.

557
00:32:09,080 --> 00:32:11,880
Speaker 1: We need to take a stand now on this shutdown.

558
00:32:12,360 --> 00:32:16,560
Speaker 1: You know, every every season it comes up and it's

559
00:32:16,600 --> 00:32:18,720
Speaker 1: crazy with the Of course we're gonna get blamed. It

560
00:32:18,720 --> 00:32:21,320
Speaker 1: doesn't matter who's the blame. We're gonna get blamed. Well,

561
00:32:21,360 --> 00:32:24,360
Speaker 1: we're not gonna do in vindictive stuff like shutdown national

562
00:32:24,400 --> 00:32:26,800
Speaker 1: parks and not let vets go into the World War

563
00:32:26,840 --> 00:32:31,600
Speaker 1: two Memorial. Uh, it doesn't matter. Everyone is a government

564
00:32:31,640 --> 00:32:34,440
Speaker 1: ploy gets their check eventually. Yeah, this is what I think.

565
00:32:34,440 --> 00:32:36,040
Speaker 1: This is just a median erator that we need to

566
00:32:36,040 --> 00:32:37,920
Speaker 1: break down the way Trump has broken down other ones

567
00:32:37,960 --> 00:32:41,120
Speaker 1: that the government continues on. A shutdown is not some

568
00:32:41,240 --> 00:32:44,440
Speaker 1: scary the government basically shuts down every week. It's called

569
00:32:44,480 --> 00:32:48,080
Speaker 1: Saturday and Sunday. Like it's fine, right, you don't the

570
00:32:48,120 --> 00:32:50,880
Speaker 1: Russians are not about to invade because the government has

571
00:32:50,880 --> 00:32:53,880
Speaker 1: shut down on Saturday and Sunday. The military still gets paid,

572
00:32:53,880 --> 00:32:55,920
Speaker 1: They're still in place. I mean this is when I

573
00:32:56,000 --> 00:32:57,840
Speaker 1: was c I A. I mean, like, you know, we

574
00:32:57,840 --> 00:32:59,920
Speaker 1: weren't about to be like, oh if there's a shutdown

575
00:33:00,040 --> 00:33:03,240
Speaker 1: more c I A. Like that's not how it works. Yeah, yeah, yeah, yeah,

576
00:33:03,360 --> 00:33:05,000
Speaker 1: well they make they make a lot of the people

577
00:33:05,080 --> 00:33:09,920
Speaker 1: think that, but in essence, no, nothing happens. Exactly. We

578
00:33:09,960 --> 00:33:12,320
Speaker 1: need to make a stand now if there's no time,

579
00:33:12,680 --> 00:33:15,840
Speaker 1: you know, and it's it's getting to the point of

580
00:33:16,040 --> 00:33:18,240
Speaker 1: no return. Wayne, have you, by the way, did you

581
00:33:18,240 --> 00:33:21,440
Speaker 1: listen to the Jesse did Jesse Kelly and Sean Parnell

582
00:33:21,480 --> 00:33:24,080
Speaker 1: podcast last week? I feel like it would be up

583
00:33:24,080 --> 00:33:26,479
Speaker 1: your alley. You should. You should check it out. And

584
00:33:26,560 --> 00:33:28,800
Speaker 1: you know what, and sometimes I want to reiterate that

585
00:33:29,040 --> 00:33:30,840
Speaker 1: it was either you said it or it was on

586
00:33:30,880 --> 00:33:34,440
Speaker 1: your show. It was several weeks ago and I caught it.

587
00:33:35,480 --> 00:33:39,280
Speaker 1: And it's like the thing that these people have against him,

588
00:33:39,360 --> 00:33:42,440
Speaker 1: and that's the Republican uh, you know establishment and the

589
00:33:42,480 --> 00:33:46,520
Speaker 1: Democrats is they're realizing a regular Joe can come and

590
00:33:46,560 --> 00:33:49,440
Speaker 1: do this that you guys think, whoa, whoa, whoa, we

591
00:33:49,520 --> 00:33:51,800
Speaker 1: gotta drop Hey, wait, I appreciate what we can't. You

592
00:33:51,880 --> 00:33:56,240
Speaker 1: gotta John, you dropped that one. Wait, and I appreciate

593
00:33:56,280 --> 00:33:58,320
Speaker 1: you going man. We can't. We gotta keep the language clean.

594
00:33:58,400 --> 00:34:03,320
Speaker 1: Thank you for going in. Wow. Uh sorry about that, folks.

595
00:34:03,400 --> 00:34:08,840
Speaker 1: I believe we dropped it. Whoa cars spicy today spicy?

596
00:34:08,880 --> 00:34:10,839
Speaker 1: But he is correct and that a normal guy can

597
00:34:10,880 --> 00:34:14,719
Speaker 1: come in and do the crap that the government we

598
00:34:14,760 --> 00:34:17,000
Speaker 1: are alleged to believe only the experts can do. But Wayne,

599
00:34:17,520 --> 00:34:19,759
Speaker 1: you know what, I still like Wayne, Wayne, thank you

600
00:34:19,760 --> 00:34:22,400
Speaker 1: for calling in. Appreciate a brother Shields High Wayne in

601
00:34:22,480 --> 00:34:28,080
Speaker 1: moss Point, Mississippi. Wayne, How you doing Buck? Hello? How

602
00:34:28,120 --> 00:34:29,879
Speaker 1: are you? I'm good man? Thank you for you called.

603
00:34:29,880 --> 00:34:31,880
Speaker 1: We got double Wayne tonight on the show. It's exciting.

604
00:34:32,600 --> 00:34:35,480
Speaker 1: All right. Well, I want to tell you that I

605
00:34:35,520 --> 00:34:38,399
Speaker 1: wish everybody could see the interview Donald Trump. They would

606
00:34:38,400 --> 00:34:41,520
Speaker 1: Bara Walters and around the year two thousand when he

607
00:34:41,560 --> 00:34:44,640
Speaker 1: was telling her what he thought about immigration, and he

608
00:34:44,760 --> 00:34:47,719
Speaker 1: said the problem is that if a Mexican comes into

609
00:34:47,760 --> 00:34:49,600
Speaker 1: the US and the bass of dirt and own it.

610
00:34:49,920 --> 00:34:51,759
Speaker 1: The problem is if the green gold go south of

611
00:34:51,840 --> 00:34:53,920
Speaker 1: the border, he can't buy property and own it. He

612
00:34:53,920 --> 00:34:56,080
Speaker 1: can only lease it for a hundred years. But if

613
00:34:56,120 --> 00:34:58,440
Speaker 1: the local mayor governor lakes that, they can take it

614
00:34:58,520 --> 00:35:01,840
Speaker 1: from him. And so that kind of stops progress. And

615
00:35:01,920 --> 00:35:04,319
Speaker 1: so he said he thinks the average Mexican is a

616
00:35:04,360 --> 00:35:08,759
Speaker 1: wonderful person, hard worker, christian, loves their family and wants prosperity.

617
00:35:09,200 --> 00:35:11,960
Speaker 1: But they're surrounded by a corrupt government in cartels and

618
00:35:12,400 --> 00:35:15,520
Speaker 1: they're just in a world of hurt down there. He said,

619
00:35:15,560 --> 00:35:18,200
Speaker 1: what I would do is that say in Mexico, congratulations

620
00:35:18,280 --> 00:35:21,680
Speaker 1: here the citty first state. And if the you know

621
00:35:21,960 --> 00:35:24,200
Speaker 1: right now, if they gave the Mexicans a chance to

622
00:35:24,280 --> 00:35:26,400
Speaker 1: vote they want to be a city first state. I

623
00:35:26,440 --> 00:35:29,080
Speaker 1: think they jumped on it. And if they did, what

624
00:35:29,160 --> 00:35:33,040
Speaker 1: do you think Venezuela or Taiwan or Crimea would do

625
00:35:33,080 --> 00:35:36,319
Speaker 1: if they had opportunity, It becomes you know, a U.

626
00:35:36,440 --> 00:35:39,920
Speaker 1: S state. So Trump to go around the world and

627
00:35:40,040 --> 00:35:44,000
Speaker 1: change stuff, and uh, that would put all these other

628
00:35:44,280 --> 00:35:47,120
Speaker 1: countries on notice. I think it would be fantastic if

629
00:35:47,120 --> 00:35:50,080
Speaker 1: people see what Trump said back then, all right, well Wayne,

630
00:35:50,120 --> 00:35:52,399
Speaker 1: I appreciate you thinking outside the box, my friend. Thank

631
00:35:52,400 --> 00:35:56,759
Speaker 1: you for calling in from Mississippi. Mac in Texas real quick.

632
00:35:56,800 --> 00:35:59,919
Speaker 1: We only got about thirty seconds. Oh we don't time.

633
00:36:00,120 --> 00:36:03,080
Speaker 1: I wanted to get Mac. Okay, fine, fine, fine, fine,

634
00:36:03,719 --> 00:36:05,759
Speaker 1: I know on guy, We've got so many calls. I'd

635
00:36:05,760 --> 00:36:07,640
Speaker 1: like to take our calls that weekend. Um, we gotta

636
00:36:07,680 --> 00:36:10,920
Speaker 1: talk about Hey, guys, guess what free healthcare Isn't free

637
00:36:10,920 --> 00:36:14,719
Speaker 1: at all. In fact, it's crazy expensive. Going into new

638
00:36:14,760 --> 00:36:16,960
Speaker 1: analysis about what medicare for all would be, here's a

639
00:36:16,960 --> 00:36:19,760
Speaker 1: short version. It would more or less bankrupt the country.

640
00:36:19,800 --> 00:36:24,800
Speaker 1: That's coming up. I talked about simply Safe home security

641
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642
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643
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644
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645
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646
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647
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648
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649
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650
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651
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652
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657
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Speaker 1: Sexton Remission, decoding the news and disseminating information with actionable intelligence.

658
00:37:30,480 --> 00:37:33,920
Speaker 1: Make no mistake American. Let Frank, You're a great American again.

659
00:37:34,000 --> 00:37:43,680
Speaker 1: This is the Buck Sexton Show. Analysts, No, we need

660
00:37:43,960 --> 00:37:50,480
Speaker 1: to make public colleges and universities tuition free. We are

661
00:37:50,480 --> 00:37:53,560
Speaker 1: the only major country on Earth that doesn't guarantee healthcare

662
00:37:53,600 --> 00:37:56,640
Speaker 1: to all of our people. While depending on your income,

663
00:37:56,719 --> 00:38:00,160
Speaker 1: your taxes may go up to pay for this publicly

664
00:38:00,280 --> 00:38:05,239
Speaker 1: funded program, that expense will be more than offset by

665
00:38:05,280 --> 00:38:08,600
Speaker 1: the money you are saving by the elimination of private

666
00:38:08,680 --> 00:38:13,480
Speaker 1: insurance costs. It's an enormous honor to stand with each

667
00:38:13,480 --> 00:38:17,400
Speaker 1: of you to say never again in America does anyone

668
00:38:17,600 --> 00:38:22,680
Speaker 1: go bankrupt just because they got sick free health care

669
00:38:22,719 --> 00:38:26,960
Speaker 1: for everybody. Baby. That's the promise of the Democrats these days. Medicare,

670
00:38:27,120 --> 00:38:31,920
Speaker 1: Medicare for all, as Bernie says, medicare for all. Well,

671
00:38:33,120 --> 00:38:34,840
Speaker 1: problem with that, of course, as you know, it's not free.

672
00:38:36,080 --> 00:38:40,120
Speaker 1: And this is something that that sounds good, and it

673
00:38:40,400 --> 00:38:45,640
Speaker 1: is increasingly a rallying cry of the Bernie Warren Elkasio

674
00:38:45,800 --> 00:38:50,239
Speaker 1: Cortes wing of the Democrat Party. But you know what's

675
00:38:50,239 --> 00:38:53,640
Speaker 1: amazing about this, folks, none of them know what it

676
00:38:53,719 --> 00:39:00,680
Speaker 1: would cost. In fact, Bernie Sanders, via spokesperson, has admitted,

677
00:39:01,480 --> 00:39:04,399
Speaker 1: I don't know what it would cost. They don't know

678
00:39:05,320 --> 00:39:09,680
Speaker 1: how much money it would really take to do medicare

679
00:39:10,480 --> 00:39:15,359
Speaker 1: for all. M They just they do not know. Well,

680
00:39:15,400 --> 00:39:18,680
Speaker 1: now we have some idea thanks to the Merctis Center,

681
00:39:18,719 --> 00:39:24,160
Speaker 1: a libertarian think tank at George Mason University, which is

682
00:39:24,239 --> 00:39:27,320
Speaker 1: I believe paid for by in part at least receives

683
00:39:27,360 --> 00:39:30,520
Speaker 1: money from the Coke Foundation and the Coke and Coke

684
00:39:30,960 --> 00:39:36,719
Speaker 1: also sponsors my show Rising, So full disclosure there. It's

685
00:39:36,719 --> 00:39:38,840
Speaker 1: fun to do full disclosure stuff. Now It's like, I

686
00:39:38,840 --> 00:39:44,040
Speaker 1: feel so corporate, you know. But they've done this cost

687
00:39:44,080 --> 00:39:46,520
Speaker 1: analysis and here's what they find. Out for who wants

688
00:39:46,520 --> 00:39:49,480
Speaker 1: to take a guess, what would it cost for medicare

689
00:39:49,600 --> 00:39:56,200
Speaker 1: for all thirty two point six trillion dollars that's right,

690
00:39:56,320 --> 00:40:01,279
Speaker 1: trillion with a T. That would be the cost of

691
00:40:01,280 --> 00:40:05,400
Speaker 1: it to pay for this. Remember that then that's supposed

692
00:40:05,440 --> 00:40:08,800
Speaker 1: to be the ten year costs from twenty two to

693
00:40:08,920 --> 00:40:14,279
Speaker 1: twenty thirty one after an initial phase in, and the

694
00:40:14,320 --> 00:40:16,960
Speaker 1: increases in federal spending over ten years range from twenty

695
00:40:16,960 --> 00:40:20,280
Speaker 1: four point seven trillion to thirty four point seven trillion.

696
00:40:21,440 --> 00:40:24,600
Speaker 1: So let's call it a roughly thirty trillion dollars is

697
00:40:24,640 --> 00:40:26,640
Speaker 1: what it would cost to do that? What it would

698
00:40:26,680 --> 00:40:29,640
Speaker 1: cost in an overall spending the economy. How would you

699
00:40:29,719 --> 00:40:34,360
Speaker 1: do this given what our current budget is and given

700
00:40:34,400 --> 00:40:39,160
Speaker 1: what the the the stresses already are of having such

701
00:40:39,200 --> 00:40:41,759
Speaker 1: a large debt. We are over twenty twillion dollars in debt,

702
00:40:42,800 --> 00:40:45,360
Speaker 1: and you'd basically be looking at a doubling of the

703
00:40:45,400 --> 00:40:48,600
Speaker 1: income and corporate text that then that's just to try

704
00:40:48,640 --> 00:40:51,200
Speaker 1: to make the numbers work, and you're looking at having

705
00:40:52,239 --> 00:40:56,080
Speaker 1: Sweden level taxation, and as I've been saying, Sweden and

706
00:40:56,120 --> 00:40:58,120
Speaker 1: Denmark and these countries at the Bernie centers of the

707
00:40:58,120 --> 00:41:00,880
Speaker 1: world's point to as, oh, look at how well it

708
00:41:00,920 --> 00:41:04,359
Speaker 1: works there. They're moving away from their model, which they

709
00:41:04,400 --> 00:41:07,560
Speaker 1: have not had for very long by the way of

710
00:41:07,600 --> 00:41:11,399
Speaker 1: these massive welfare states, because they view it as unsustainable.

711
00:41:12,400 --> 00:41:16,160
Speaker 1: They recognize mathematically sensustainable. In the case of Norway, they

712
00:41:16,200 --> 00:41:19,279
Speaker 1: have so much in a sovereign wealth fond that it

713
00:41:19,360 --> 00:41:23,479
Speaker 1: offsets a lot of their welfare spending. But these aren't

714
00:41:23,520 --> 00:41:26,480
Speaker 1: truly socialist countries. As I've noted. They're not socialists in

715
00:41:26,480 --> 00:41:28,080
Speaker 1: the sense that the government is in control of the

716
00:41:28,120 --> 00:41:31,799
Speaker 1: means of production. The government has nationalized industries. They are

717
00:41:31,920 --> 00:41:38,440
Speaker 1: high tax social welfare states. High tax, though, is where

718
00:41:38,440 --> 00:41:40,399
Speaker 1: they start to run into some real problems for folks.

719
00:41:40,440 --> 00:41:42,160
Speaker 1: And this is where the Democrats, this is where all

720
00:41:42,160 --> 00:41:48,120
Speaker 1: of a sudden they have to deal with the unpopular

721
00:41:48,200 --> 00:41:50,080
Speaker 1: aspects of this, or at least they should have to

722
00:41:50,120 --> 00:41:54,399
Speaker 1: deal with it, because it's not enough to tax the rich.

723
00:41:54,800 --> 00:42:01,800
Speaker 1: You will not get thirty trillion dollars of additional revenue,

724
00:42:01,840 --> 00:42:03,480
Speaker 1: which is a word I hate, because what they mean

725
00:42:03,480 --> 00:42:05,480
Speaker 1: by that is money that we are taking from you

726
00:42:05,800 --> 00:42:09,040
Speaker 1: under threat of force. That's what taxation is. You don't

727
00:42:09,040 --> 00:42:10,719
Speaker 1: pay it, they're gonna come and take you and take

728
00:42:10,760 --> 00:42:14,279
Speaker 1: away your freedom and take away your stuff. Uh. You're

729
00:42:14,280 --> 00:42:16,799
Speaker 1: not gonna gett t dollars by raising the marginal tax

730
00:42:16,880 --> 00:42:19,320
Speaker 1: rate on the one percent. No, no, no, no, no.

731
00:42:20,640 --> 00:42:22,920
Speaker 1: Everybody listening to this. If you were going to have

732
00:42:22,920 --> 00:42:27,640
Speaker 1: a Medicare for all system, everybody listening to this would

733
00:42:28,320 --> 00:42:31,520
Speaker 1: be looking at an increase in their in their income

734
00:42:31,560 --> 00:42:35,160
Speaker 1: tax increase probably in their state taxes as well. Just

735
00:42:35,200 --> 00:42:38,839
Speaker 1: taxes across the board would would go up. Uh. And

736
00:42:38,920 --> 00:42:42,719
Speaker 1: if you were making you know, to a hundred and

737
00:42:42,760 --> 00:42:45,239
Speaker 1: fifty thousand dollars a year, you would have to pay

738
00:42:45,280 --> 00:42:49,680
Speaker 1: substantially more in taxes. So that's gonna cover a lot

739
00:42:49,719 --> 00:42:51,359
Speaker 1: of us. Right, We're all gonna sit there and think

740
00:42:51,920 --> 00:42:56,319
Speaker 1: it's gonna hurt. Uh. And then you get into what

741
00:42:56,360 --> 00:42:57,880
Speaker 1: would that also mean? What does that mean for the

742
00:42:57,880 --> 00:43:01,080
Speaker 1: broader health care system? You know, one of the problems

743
00:43:01,120 --> 00:43:03,280
Speaker 1: that I see with the way that the left approaches

744
00:43:03,360 --> 00:43:05,719
Speaker 1: health care is is that one of the one of

745
00:43:05,760 --> 00:43:07,600
Speaker 1: the central let me even step back further from that,

746
00:43:09,080 --> 00:43:12,200
Speaker 1: a central false promise of the Democrat Party today, and

747
00:43:12,239 --> 00:43:17,719
Speaker 1: it's really a fallacy of collectivism as embodied by the

748
00:43:17,760 --> 00:43:20,839
Speaker 1: Democrat Party, but a central fallacies that they can protect you,

749
00:43:21,239 --> 00:43:25,000
Speaker 1: that it is their job to protect you from bad choices,

750
00:43:26,640 --> 00:43:29,839
Speaker 1: that they can make bad choices something that will not

751
00:43:29,920 --> 00:43:33,920
Speaker 1: really affect you, and that that is their role. Uh.

752
00:43:34,000 --> 00:43:36,560
Speaker 1: And also they can protect you from the realities of

753
00:43:36,600 --> 00:43:40,319
Speaker 1: other people's choices. And you see this with the way

754
00:43:40,360 --> 00:43:42,759
Speaker 1: the health care market would work if everyone's bills, if

755
00:43:42,760 --> 00:43:45,920
Speaker 1: your healthcare bills were being paid by somebody else wholes

756
00:43:46,120 --> 00:43:51,600
Speaker 1: always in their entirety, you would have lower incentives. I

757
00:43:51,640 --> 00:43:55,759
Speaker 1: would have lower incentives to try and stay healthy. I

758
00:43:55,800 --> 00:44:00,640
Speaker 1: would have no financial incentive to make lifestyle choices that

759
00:44:00,680 --> 00:44:03,560
Speaker 1: are more more conducive to good health. Uh. You know,

760
00:44:03,640 --> 00:44:05,279
Speaker 1: and this is where you start to run a problem

761
00:44:05,320 --> 00:44:08,160
Speaker 1: with people don't like the personal responsibility aspect of health

762
00:44:08,200 --> 00:44:10,279
Speaker 1: care and healthcare spending. Look, I'm all in favor of

763
00:44:10,360 --> 00:44:15,239
Speaker 1: health insurance, meaning that when somebody has a you know,

764
00:44:15,360 --> 00:44:19,320
Speaker 1: we should basically all have insurance. We should we should

765
00:44:19,320 --> 00:44:22,560
Speaker 1: all have a health care marketplace where you know you're

766
00:44:22,600 --> 00:44:24,200
Speaker 1: you're you. Just like you do with a car, you

767
00:44:24,239 --> 00:44:28,799
Speaker 1: pay a certain amount and above a certain threshold, you know,

768
00:44:28,840 --> 00:44:33,080
Speaker 1: the insurance kicks in. But you know, our first cost

769
00:44:33,200 --> 00:44:36,000
Speaker 1: after you know, housing probably or maybe it's our first

770
00:44:36,040 --> 00:44:40,320
Speaker 1: cost even before housing, should be preparation for some level

771
00:44:40,440 --> 00:44:44,719
Speaker 1: of you know, medical coverage for ourselves. You know, that

772
00:44:44,760 --> 00:44:47,280
Speaker 1: should be baked into our expenses. I mean, there's notion

773
00:44:47,320 --> 00:44:49,840
Speaker 1: of going and paying twenty dollars or fifteen dollars or

774
00:44:49,840 --> 00:44:51,440
Speaker 1: whatever it is. You pay as a copay all the time,

775
00:44:51,440 --> 00:44:55,520
Speaker 1: and that's your only that's the only dollars and cents

776
00:44:55,560 --> 00:44:58,080
Speaker 1: that you feel exchanging hands over your health care. That's

777
00:44:58,080 --> 00:45:00,440
Speaker 1: a bad the bad habit where all and look I'm

778
00:45:00,480 --> 00:45:02,919
Speaker 1: in it too, that's a bad habit we're in. Though.

779
00:45:05,040 --> 00:45:09,200
Speaker 1: The truth is that we are generally sheltered from the

780
00:45:09,239 --> 00:45:13,480
Speaker 1: realities of our healthcare costs in ways that distort what's

781
00:45:13,480 --> 00:45:17,200
Speaker 1: really going on. And that's not good. That's not good.

782
00:45:17,239 --> 00:45:19,520
Speaker 1: We should all be covered above five thousand or ten

783
00:45:19,560 --> 00:45:24,279
Speaker 1: thousand dollars of legitimate healthcare expenditure, and below that we

784
00:45:24,320 --> 00:45:27,480
Speaker 1: should all be paying for it. Like you would with

785
00:45:27,520 --> 00:45:30,040
Speaker 1: a car. You don't. You don't send a note into

786
00:45:30,040 --> 00:45:33,200
Speaker 1: your insure when you need new gas. You don't send

787
00:45:33,239 --> 00:45:36,600
Speaker 1: a note into your insure. If you're you know you

788
00:45:36,600 --> 00:45:38,839
Speaker 1: you need to replace your stereo system or something. I mean,

789
00:45:38,880 --> 00:45:41,799
Speaker 1: you know that's on you. But if you if your

790
00:45:41,840 --> 00:45:44,160
Speaker 1: car you know, hits a tree going forty miles an hour,

791
00:45:44,320 --> 00:45:45,799
Speaker 1: Like yeah, then you said, you know, then you hit

792
00:45:45,800 --> 00:45:48,480
Speaker 1: the insurance. We all need that coverage. And I agree

793
00:45:48,520 --> 00:45:50,279
Speaker 1: with that. I mean, that's a smart thing to do,

794
00:45:51,600 --> 00:45:53,200
Speaker 1: and that should be made. But it would be made

795
00:45:53,200 --> 00:45:56,040
Speaker 1: more available and costs would go down if we allowed

796
00:45:56,040 --> 00:46:00,560
Speaker 1: the free market to work for everything below that catastrophic threshold.

797
00:46:01,080 --> 00:46:03,600
Speaker 1: But people have gotten used to this notion of somebody

798
00:46:03,600 --> 00:46:05,759
Speaker 1: else is gonna pay for your healthcare. Somebody else is

799
00:46:05,800 --> 00:46:08,520
Speaker 1: gonna pay for your health care. And I'm gonna make

800
00:46:08,560 --> 00:46:11,560
Speaker 1: myself really unpopular right now. But Medicare is part of

801
00:46:11,600 --> 00:46:15,399
Speaker 1: the problem. Yes, I'm gonna say it, and I get

802
00:46:15,440 --> 00:46:18,120
Speaker 1: I get angry. People that know that I love them

803
00:46:18,160 --> 00:46:19,960
Speaker 1: and they love me. Listen to show they get mad

804
00:46:19,960 --> 00:46:21,400
Speaker 1: at me when I said this. But I'm telling you

805
00:46:21,440 --> 00:46:24,920
Speaker 1: the truth. Medicare is part of the problem because the

806
00:46:25,000 --> 00:46:31,440
Speaker 1: average Medicare recipient will take out twice in benefits what

807
00:46:31,560 --> 00:46:36,200
Speaker 1: they paid in over their entire life cycle of Medicare taxes,

808
00:46:36,880 --> 00:46:40,280
Speaker 1: So you're getting double average. Now that's not true for everybody,

809
00:46:40,280 --> 00:46:42,640
Speaker 1: but that's the average Medicare recipient is taken out twice

810
00:46:42,640 --> 00:46:45,520
Speaker 1: and a huge chunk of that is very very latent

811
00:46:45,600 --> 00:46:49,040
Speaker 1: life end of life care, huge chunk of that piece.

812
00:46:50,280 --> 00:46:53,760
Speaker 1: So somebody else is actually and that somebody else is us,

813
00:46:54,560 --> 00:46:57,160
Speaker 1: meaning generations that will not us as some of you

814
00:46:57,320 --> 00:47:00,000
Speaker 1: are getting Medicare right now and now, by the way,

815
00:47:00,040 --> 00:47:02,120
Speaker 1: is the government's forced us all into this situation and

816
00:47:02,239 --> 00:47:04,480
Speaker 1: this is this is government planning. So this isn't I

817
00:47:04,480 --> 00:47:07,360
Speaker 1: feel like sometimes I talk about entitlements and Medicare and healthcare,

818
00:47:07,400 --> 00:47:10,200
Speaker 1: people feel like I'm calling out into I'm calling an individual. Look,

819
00:47:10,200 --> 00:47:13,040
Speaker 1: I'm gonna want Medicare too, right, I'm paying my taxes now,

820
00:47:13,080 --> 00:47:14,879
Speaker 1: I'm gonna want it. This is the promise they've made,

821
00:47:15,400 --> 00:47:17,239
Speaker 1: you know, same thing with Social Security. I'm gonna want it.

822
00:47:17,320 --> 00:47:19,160
Speaker 1: Probably won't be there by the time I retire, but

823
00:47:19,920 --> 00:47:23,040
Speaker 1: I'm gonna want those things. I'm gonna feel I'm going

824
00:47:23,080 --> 00:47:25,520
Speaker 1: to feel entitled to those things because the government's made

825
00:47:25,520 --> 00:47:27,520
Speaker 1: me a promise and they have to keep up there

826
00:47:27,600 --> 00:47:28,960
Speaker 1: under the bargain. And I know with a lot of

827
00:47:29,000 --> 00:47:31,839
Speaker 1: you who are on or getting Medicare right now, you

828
00:47:31,840 --> 00:47:33,799
Speaker 1: feel like government made me a promise, took money out

829
00:47:33,800 --> 00:47:35,799
Speaker 1: of my paycheck for you know, forty years. Damn it.

830
00:47:35,800 --> 00:47:38,279
Speaker 1: It's time. I get it. But I'm just saying from

831
00:47:38,280 --> 00:47:43,680
Speaker 1: a long term sustainability aspect of it, Medicare relies on

832
00:47:43,840 --> 00:47:46,760
Speaker 1: future generations picking up a big piece of that tab.

833
00:47:46,880 --> 00:47:51,480
Speaker 1: That's just the truth. So everyone like somebody else to

834
00:47:51,480 --> 00:47:54,239
Speaker 1: pay for their healthcare. Everyone wants, you know, and I look,

835
00:47:54,280 --> 00:47:56,759
Speaker 1: I feel the same way, right I. I have had

836
00:47:56,800 --> 00:47:59,919
Speaker 1: that experience of going into a doctor's office and pay

837
00:48:00,000 --> 00:48:03,120
Speaker 1: in twenty bucks and getting really good care and being like, wow,

838
00:48:03,120 --> 00:48:04,520
Speaker 1: I've got great. That's actually when I work for the

839
00:48:04,520 --> 00:48:07,520
Speaker 1: federal government, my insurance was great. That's one of the

840
00:48:07,560 --> 00:48:09,879
Speaker 1: things I miss about the federal government, actually insurance. It's

841
00:48:09,920 --> 00:48:15,000
Speaker 1: just fantastic. Uh changes again the private sector. When I

842
00:48:15,040 --> 00:48:18,920
Speaker 1: was at the NYPD, my insurance was like not insurance,

843
00:48:19,160 --> 00:48:22,200
Speaker 1: it was. It was Obamacare before there was Obamacare. It's

844
00:48:22,360 --> 00:48:26,720
Speaker 1: stunk anyway. So I've also had that experience of, yeah,

845
00:48:26,760 --> 00:48:30,000
Speaker 1: this visit is not covered, even though obviously it's medically necessary.

846
00:48:30,120 --> 00:48:33,000
Speaker 1: Can you give us eight hundred dollars thanks? I'm like,

847
00:48:33,680 --> 00:48:35,440
Speaker 1: I guess I have a credit card I could put

848
00:48:35,440 --> 00:48:38,880
Speaker 1: it on. I've had that experience too. But but the

849
00:48:38,920 --> 00:48:41,680
Speaker 1: cost of this has to matter, because the cost always matters.

850
00:48:42,160 --> 00:48:44,960
Speaker 1: It's just a question of who. Somebody always pays, just

851
00:48:45,000 --> 00:48:48,800
Speaker 1: a question of who. And Bernie Sanders for all the

852
00:48:48,800 --> 00:48:50,680
Speaker 1: promises about how it's just gonna be the rich, that

853
00:48:50,760 --> 00:48:53,680
Speaker 1: is a lie. And think of all the waste and

854
00:48:53,680 --> 00:48:57,520
Speaker 1: fraud and abuse right now. Medicare, because it's a government

855
00:48:57,520 --> 00:49:02,279
Speaker 1: administered program, has roughly six to eighty billion dollars a

856
00:49:02,360 --> 00:49:07,600
Speaker 1: year in fraud, including the close friend of New Jersey

857
00:49:07,600 --> 00:49:10,800
Speaker 1: Senator Bob Menendez governor I mean Dr Meligan, who was

858
00:49:10,840 --> 00:49:13,439
Speaker 1: an ophthalmologist in Florida who did an eighty million dollar

859
00:49:13,520 --> 00:49:18,040
Speaker 1: scam on Medicare. But somehow they were just friends. Menendez

860
00:49:18,080 --> 00:49:19,600
Speaker 1: had a hung Why do you pointed that action? By

861
00:49:19,640 --> 00:49:21,680
Speaker 1: the way, I got that correction. I said he was acquitted.

862
00:49:21,680 --> 00:49:23,120
Speaker 1: He was not acquitted. It was a hung It was

863
00:49:23,160 --> 00:49:26,160
Speaker 1: a hung jury. So thank you for the correction. Uh,

864
00:49:26,239 --> 00:49:30,439
Speaker 1: Menendez had a hung jury that chose not to retriumph um.

865
00:49:30,560 --> 00:49:34,040
Speaker 1: But this program would have a tremendous amount of waste,

866
00:49:34,080 --> 00:49:36,719
Speaker 1: fraud and abuse in it. I think healthcare standards would

867
00:49:36,719 --> 00:49:39,120
Speaker 1: go down dramatically. And I just put it this way.

868
00:49:39,480 --> 00:49:42,919
Speaker 1: You know right now, I mean, haven't forbid. You're sitting there,

869
00:49:43,560 --> 00:49:45,920
Speaker 1: you know you find out that you have a life

870
00:49:45,920 --> 00:49:50,080
Speaker 1: threatening illness. Would you rather be sitting wherever you are

871
00:49:50,080 --> 00:49:51,600
Speaker 1: in the United States, You'd rather be sitting in the

872
00:49:51,680 --> 00:49:53,920
Speaker 1: United Kingdom and hoping the National Health Service has got

873
00:49:53,960 --> 00:49:57,400
Speaker 1: you covered. I think a lot of you know, I

874
00:49:57,400 --> 00:50:01,440
Speaker 1: think I think the answer is pretty clear. And Bernie Sanders,

875
00:50:01,600 --> 00:50:04,600
Speaker 1: they're offering a mirage, just like the mirage of land

876
00:50:04,640 --> 00:50:07,319
Speaker 1: redistribution in a place like Venezuela, or it's happening so

877
00:50:07,360 --> 00:50:09,480
Speaker 1: many countries right We're gonna give more of the land

878
00:50:09,560 --> 00:50:12,080
Speaker 1: to the people, to the poor people. They'll farm it better,

879
00:50:12,080 --> 00:50:15,840
Speaker 1: they'll do a better job with it. No, this leads

880
00:50:15,920 --> 00:50:20,600
Speaker 1: to disaster. Um, we are still in the early stages

881
00:50:20,640 --> 00:50:24,080
Speaker 1: some of these European social welfare state experiments that we've

882
00:50:24,080 --> 00:50:28,200
Speaker 1: seen going on. We're we're in the early innings of

883
00:50:28,200 --> 00:50:30,040
Speaker 1: how that's really going to turn out. I think that

884
00:50:30,080 --> 00:50:32,360
Speaker 1: they're all that they have all been turning away from it.

885
00:50:33,960 --> 00:50:36,319
Speaker 1: They have realized that they can't continue on with what

886
00:50:36,400 --> 00:50:39,840
Speaker 1: they have. And then I would also point out, and

887
00:50:39,880 --> 00:50:42,000
Speaker 1: maybe this feels a little secondary to all this, but

888
00:50:43,800 --> 00:50:47,239
Speaker 1: Sweden coming up with a lot of great new, great

889
00:50:47,239 --> 00:50:50,160
Speaker 1: new pharmaceuticals these days, Sweden doing a lot to cure cancer.

890
00:50:52,360 --> 00:50:55,640
Speaker 1: You think that an HIV vaccine is going to come

891
00:50:55,760 --> 00:51:01,279
Speaker 1: from Norway or the United States more likely? You think

892
00:51:01,360 --> 00:51:05,000
Speaker 1: that incredible breakthroughs in medical technology that will give people

893
00:51:05,040 --> 00:51:09,359
Speaker 1: back their lives, are they more likely to come from

894
00:51:09,440 --> 00:51:11,879
Speaker 1: US or from some tiny socialist countries in Europe. See

895
00:51:11,920 --> 00:51:16,040
Speaker 1: I just did it, democratic social socialist countries in Europe.

896
00:51:17,719 --> 00:51:19,200
Speaker 1: I think we all know the answer to that too.

897
00:51:20,320 --> 00:51:24,960
Speaker 1: But thirty trillion dollars everybody would have to pay. Everyone's

898
00:51:25,160 --> 00:51:29,120
Speaker 1: paycheck would get just gobbled up by the government so

899
00:51:29,200 --> 00:51:31,799
Speaker 1: that you would have access to healthcare. And by the way,

900
00:51:31,840 --> 00:51:34,640
Speaker 1: by the time the generations who are young and who

901
00:51:34,640 --> 00:51:37,040
Speaker 1: are and they're earning in their peak earning years. When

902
00:51:37,080 --> 00:51:39,400
Speaker 1: I say young, I mean peak earning years, by the

903
00:51:39,440 --> 00:51:42,680
Speaker 1: time they might be eligible for Sanders Medicare for all,

904
00:51:42,760 --> 00:51:45,719
Speaker 1: we'd realized this is crazy, this is a catastrophe, and

905
00:51:45,719 --> 00:51:48,520
Speaker 1: they'll have given away their their best earning years, they're

906
00:51:48,680 --> 00:51:53,440
Speaker 1: their most productive years in their careers to the government.

907
00:51:53,440 --> 00:51:56,640
Speaker 1: In large part, you want to work for Uncle Sam

908
00:51:56,680 --> 00:51:58,800
Speaker 1: for six months of the year. That's what Bernie Sanders

909
00:51:58,840 --> 00:52:04,120
Speaker 1: is offering for You. Show up, do your job every day,

910
00:52:04,600 --> 00:52:07,600
Speaker 1: work hard, deal with annoying bosses, deal with the possibility

911
00:52:07,640 --> 00:52:09,520
Speaker 1: of being fired, and all the other things that we

912
00:52:09,560 --> 00:52:13,080
Speaker 1: all know come from work. Do all that for six

913
00:52:13,120 --> 00:52:17,640
Speaker 1: months of the year, and then on the first day

914
00:52:17,680 --> 00:52:20,399
Speaker 1: after that six month period, the second then you get

915
00:52:20,440 --> 00:52:23,319
Speaker 1: to actually start putting money in your bank account to

916
00:52:23,440 --> 00:52:27,120
Speaker 1: feed your family, to pay your rent. Is that the

917
00:52:27,120 --> 00:52:28,759
Speaker 1: country you want to live in? Do you think that

918
00:52:28,760 --> 00:52:31,080
Speaker 1: will be a better or more prosperous country. That is

919
00:52:31,120 --> 00:52:33,720
Speaker 1: the country that Bernie Sanders and Elizabeth Warren and Okazy

920
00:52:33,840 --> 00:52:35,440
Speaker 1: Cortez and all the rest of them are offering to you.

921
00:52:36,280 --> 00:52:39,520
Speaker 1: Paying about half of your income in taxes no matter

922
00:52:39,600 --> 00:52:43,160
Speaker 1: what you're earning, doesn't sound like fun to me. Doesn't

923
00:52:43,160 --> 00:52:46,120
Speaker 1: sound free at all. It actually sounds like the antithesis

924
00:52:46,120 --> 00:52:53,920
Speaker 1: of free or freedom. We'll be right back. The FBI

925
00:52:54,000 --> 00:52:56,840
Speaker 1: calls home title theft one of the fastest growing crimes.

926
00:52:56,880 --> 00:53:00,680
Speaker 1: Brace yourself, because having your credit card stolen is nothing

927
00:53:01,000 --> 00:53:03,200
Speaker 1: compared to the hell that you are in for once

928
00:53:03,239 --> 00:53:08,040
Speaker 1: an identity thief takes control of your home's title. Look, folks,

929
00:53:08,200 --> 00:53:11,080
Speaker 1: I'm telling you I saw a demonstration of this process.

930
00:53:11,440 --> 00:53:15,200
Speaker 1: Home title lock walked me through how easy it is

931
00:53:15,239 --> 00:53:18,960
Speaker 1: for the bad guys. To just create a forgery online

932
00:53:19,360 --> 00:53:22,400
Speaker 1: and then get that passed through even have it notarized

933
00:53:22,400 --> 00:53:25,080
Speaker 1: the forge statement, and then have the ability to take

934
00:53:25,080 --> 00:53:27,960
Speaker 1: out loans against your home. Okay, it's really easy for

935
00:53:27,960 --> 00:53:30,720
Speaker 1: the bad guys to do. Home title Lock can stop

936
00:53:30,800 --> 00:53:33,960
Speaker 1: them in their tracks. For just pennies a day. Home

937
00:53:33,960 --> 00:53:37,560
Speaker 1: title Lock protects my most viable asset, my family's home.

938
00:53:37,680 --> 00:53:40,920
Speaker 1: Register now for a free analysis and discover if your

939
00:53:40,960 --> 00:53:44,480
Speaker 1: home's title has been compromised. That's a sixty dollar value.

940
00:53:44,600 --> 00:53:49,400
Speaker 1: Free visit home title lock dot com. Again, that's home

941
00:53:49,640 --> 00:53:54,120
Speaker 1: title lock dot com for a free sixty dollar analysis

942
00:53:54,120 --> 00:54:08,000
Speaker 1: in value. You have a whole bunch of Democrats who

943
00:54:08,040 --> 00:54:11,400
Speaker 1: are either college professors or lawyers who don't have a clue,

944
00:54:11,719 --> 00:54:14,520
Speaker 1: who have never created a job, who have a theory

945
00:54:14,640 --> 00:54:18,200
Speaker 1: that they call socialism, which is basically big government bureaucrats

946
00:54:18,239 --> 00:54:22,000
Speaker 1: running your life. Uh. They openly despised business and attacked

947
00:54:22,080 --> 00:54:25,040
Speaker 1: business all the time, and then they are surprised that

948
00:54:25,040 --> 00:54:28,120
Speaker 1: that doesn't encourage people to create jobs. Then you get

949
00:54:28,120 --> 00:54:32,440
Speaker 1: a brand new president who is a businessman himself, an entrepreneur,

950
00:54:32,880 --> 00:54:36,799
Speaker 1: a job creator. He gets the process. He believes in

951
00:54:37,320 --> 00:54:40,640
Speaker 1: you keeping the money you create, so you are actually

952
00:54:40,719 --> 00:54:43,880
Speaker 1: have an interest in going out. Small businesses spring up

953
00:54:43,920 --> 00:54:47,040
Speaker 1: all over the country. Uh. We're just started visiting my

954
00:54:47,120 --> 00:54:49,680
Speaker 1: mother in law and Wisconsin. Every small town you go

955
00:54:49,760 --> 00:54:53,520
Speaker 1: through has signs of help wanted. Uh. And I think

956
00:54:53,520 --> 00:54:56,040
Speaker 1: that this is such a huge change from the Obama

957
00:54:56,120 --> 00:54:59,080
Speaker 1: years where there was no economic growth. You know, the

958
00:54:59,120 --> 00:55:01,720
Speaker 1: Obama team did great job if you love food stamps,

959
00:55:01,920 --> 00:55:04,640
Speaker 1: and a terrible job if you love jobs. Uh. And

960
00:55:04,880 --> 00:55:08,480
Speaker 1: the truth is the Trump team is the opposite. Look

961
00:55:08,480 --> 00:55:10,600
Speaker 1: at new Land and ripped there. I let you I

962
00:55:10,640 --> 00:55:12,399
Speaker 1: really gave new a lot of air thunders. I thought

963
00:55:12,440 --> 00:55:15,560
Speaker 1: that was particularly of the nude rants. That was a

964
00:55:15,560 --> 00:55:19,560
Speaker 1: particularly strong one. Mac. In Texas, you've been very patiently

965
00:55:19,600 --> 00:55:21,160
Speaker 1: waiting for I meant to get you in before. What

966
00:55:21,200 --> 00:55:24,040
Speaker 1: have you got for us? Mac, Well, I have been

967
00:55:24,080 --> 00:55:27,200
Speaker 1: patiently waiting, Buck, And let me just say this. I

968
00:55:28,000 --> 00:55:30,880
Speaker 1: think I feel as if we have a kinship you

969
00:55:30,920 --> 00:55:33,840
Speaker 1: and I because we're both Irish, were both Catholic, and

970
00:55:34,280 --> 00:55:36,440
Speaker 1: you're probably somebody I would like to go play darts

971
00:55:36,440 --> 00:55:41,600
Speaker 1: with sometimes. But your bumper music has got to improve.

972
00:55:43,440 --> 00:55:46,480
Speaker 1: The bumper music, Okay, we can we can improve. We're

973
00:55:46,480 --> 00:55:48,359
Speaker 1: actually trying to do an overhaul the music, so I'll

974
00:55:48,360 --> 00:55:51,919
Speaker 1: take I'll take that under advisement. I'll send you a link.

975
00:55:51,960 --> 00:55:54,400
Speaker 1: But that's not why I called. I was on hold

976
00:55:54,440 --> 00:55:56,560
Speaker 1: so long I just had to say that I'm sorry,

977
00:55:57,200 --> 00:56:00,680
Speaker 1: but I wanted to let you know. Malarkey is actually

978
00:56:00,880 --> 00:56:05,080
Speaker 1: an Irish surname. The clan still with the scene not

979
00:56:05,200 --> 00:56:08,120
Speaker 1: a k in case the social justice warriors are listening.

980
00:56:08,360 --> 00:56:13,040
Speaker 1: The clan is in southwestern uh Ireland and they are

981
00:56:13,120 --> 00:56:15,799
Speaker 1: known as the Malarkey's and you can look up their

982
00:56:15,800 --> 00:56:18,680
Speaker 1: coat of arms and everything. How it got to be

983
00:56:19,239 --> 00:56:23,360
Speaker 1: a pejorative for the equivalent of vold dash or whatever.

984
00:56:24,040 --> 00:56:27,600
Speaker 1: Uh not to use the words that Wayne used earlier. Uh.

985
00:56:27,800 --> 00:56:31,480
Speaker 1: The the the reality is, I think that came from

986
00:56:31,520 --> 00:56:35,120
Speaker 1: the Boston police at the same time they developed the

987
00:56:35,239 --> 00:56:41,680
Speaker 1: term patty wagon, which is also pejorative term a police

988
00:56:41,719 --> 00:56:45,319
Speaker 1: wagon full of of Irish people named Patty. There you

989
00:56:45,400 --> 00:56:49,120
Speaker 1: go on a Saturday night, all right, I just thought

990
00:56:49,120 --> 00:56:51,200
Speaker 1: i'd passed that along. No, it's I didn't know that.

991
00:56:51,280 --> 00:56:53,480
Speaker 1: I didn't know that, so thank you very much for that.

992
00:56:54,400 --> 00:56:56,759
Speaker 1: I'll stick it next to my Sholey. Thanks for calling

993
00:56:56,760 --> 00:57:00,399
Speaker 1: in Mac. What what are we going to hit next? Mike?

994
00:57:00,480 --> 00:57:04,000
Speaker 1: I had um, what's coming up here? Oh college admission stuff.

995
00:57:04,200 --> 00:57:06,200
Speaker 1: I'm gonna I'm gonna skewer Harvard. That's gonna be fun.

996
00:57:06,239 --> 00:57:10,960
Speaker 1: And then the media has a martyrdom complex that's coming up. Recently,

997
00:57:11,000 --> 00:57:13,160
Speaker 1: I've been receiving all of my style tips from the

998
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1000
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1002
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1003
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1004
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1005
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1015
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1016
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Speaker 1: He's back with you now because when it comes to

1017
00:58:23,240 --> 00:58:30,120
Speaker 1: the fight for truth, the fuck never stops. So I

1018
00:58:30,120 --> 00:58:32,840
Speaker 1: wrote this piece in on the Hill. You can go

1019
00:58:32,920 --> 00:58:35,360
Speaker 1: read it on the Hill dot com. And it's in

1020
00:58:35,520 --> 00:58:42,320
Speaker 1: response to this meeting with Saulsburger, the publisher of The

1021
00:58:42,360 --> 00:58:44,480
Speaker 1: New York Times, that the title my pieces in the

1022
00:58:44,560 --> 00:58:50,440
Speaker 1: Age of Trump, the press just can't stop playing the victim.

1023
00:58:50,480 --> 00:58:55,040
Speaker 1: And it's true, folks, it really is the case that

1024
00:58:55,040 --> 00:58:59,240
Speaker 1: that the media loves too uh talker and people are

1025
00:58:59,240 --> 00:59:03,120
Speaker 1: about Europa. The media not really folks. You know, I'm

1026
00:59:03,160 --> 00:59:07,480
Speaker 1: I don't The White House Corresponds Association's not beaten down

1027
00:59:07,560 --> 00:59:09,959
Speaker 1: my door, and I will not go to their dinner.

1028
00:59:09,960 --> 00:59:11,760
Speaker 1: I would not participate in it, and I said that

1029
00:59:11,880 --> 00:59:14,240
Speaker 1: before The Hill. My organization I work for now has

1030
00:59:14,280 --> 00:59:16,320
Speaker 1: said publicly if they won't participate in it, I think

1031
00:59:16,320 --> 00:59:20,680
Speaker 1: it's I think it's uh, it's gross, it's unseemly, it's

1032
00:59:20,720 --> 00:59:24,880
Speaker 1: kind of pathetic. H So anyway. But I'm not a

1033
00:59:24,880 --> 00:59:26,800
Speaker 1: part of that media, and I'm also not a part

1034
00:59:26,840 --> 00:59:28,320
Speaker 1: of you or I'm just bringing you the facts, so

1035
00:59:28,360 --> 00:59:30,760
Speaker 1: I don't have any opinions or thoughts. I'm just the facts.

1036
00:59:30,840 --> 00:59:34,440
Speaker 1: You know, that's a legacy media trick. It's not true.

1037
00:59:34,440 --> 00:59:38,480
Speaker 1: It's a fraud. It's a fraud. I saw last week

1038
00:59:38,520 --> 00:59:41,360
Speaker 1: Mark Levin called out Jake Tapper on Twitter said he's

1039
00:59:41,360 --> 00:59:47,560
Speaker 1: a fraud. I five bark Levin. So here we go

1040
00:59:47,800 --> 00:59:51,080
Speaker 1: the the fake news and all the freak outs about this. First,

1041
00:59:51,080 --> 00:59:53,000
Speaker 1: it was the term fake news that the news media

1042
00:59:53,160 --> 00:59:56,919
Speaker 1: said what felt was a threat to our democracy. Now

1043
00:59:56,960 --> 00:59:59,560
Speaker 1: it's Trump's references to the enemy of the people that

1044
00:59:59,600 --> 01:00:03,200
Speaker 1: has of in the press corps into paroxysms of exaggerated fear.

1045
01:00:04,040 --> 01:00:06,120
Speaker 1: That's from the piece here. You know, they've got this

1046
01:00:06,160 --> 01:00:09,680
Speaker 1: guy Sulzberger meeting with Trump, and the whole purpose of

1047
01:00:09,680 --> 01:00:12,400
Speaker 1: the meeting, we're told, is to tell Trump that they

1048
01:00:12,440 --> 01:00:16,760
Speaker 1: need to tone things down a little bit because, uh,

1049
01:00:16,960 --> 01:00:21,880
Speaker 1: journalists are under threat. Essentially, journalists are are scared right now,

1050
01:00:21,920 --> 01:00:23,760
Speaker 1: there's gonna be violence. And I sit here, I think,

1051
01:00:23,800 --> 01:00:27,640
Speaker 1: hold on our journalists doing a dangerous job. You probably

1052
01:00:27,640 --> 01:00:30,320
Speaker 1: get the sense from the media, and well from them,

1053
01:00:30,360 --> 01:00:33,840
Speaker 1: of course, but also from depictions of them and movie

1054
01:00:33,840 --> 01:00:37,040
Speaker 1: and TV. You know, journalists such a dangerous job. Journalists

1055
01:00:37,040 --> 01:00:38,600
Speaker 1: have one of the least dangerous jobs I can think

1056
01:00:38,640 --> 01:00:43,240
Speaker 1: of in the country. Taxi drivers are under far greater

1057
01:00:43,400 --> 01:00:47,040
Speaker 1: threat in their professions than journalists are. There have been

1058
01:00:47,120 --> 01:00:53,760
Speaker 1: since eleven journalists killed in America who were doing their

1059
01:00:53,840 --> 01:00:56,280
Speaker 1: jobs or in some in some way targeted or or

1060
01:00:56,400 --> 01:01:03,480
Speaker 1: killed during their job. Eleven, folks. Since, as a journalist,

1061
01:01:03,480 --> 01:01:05,880
Speaker 1: you are more likely to be eaten by a shark

1062
01:01:06,120 --> 01:01:09,280
Speaker 1: than be attacked by a fellow American and killed by

1063
01:01:09,320 --> 01:01:13,160
Speaker 1: fellow American. Okay, it's just the numbers are staggeringly low,

1064
01:01:13,160 --> 01:01:15,480
Speaker 1: and you'll they go, oh my gosh. You have this

1065
01:01:15,560 --> 01:01:20,920
Speaker 1: guy from The Times, A G. Salzburger, who claimed that

1066
01:01:20,960 --> 01:01:24,040
Speaker 1: he told the President he was quote putting lives at risk,

1067
01:01:24,680 --> 01:01:27,760
Speaker 1: undermining the democratic ideals of our nation, and that it

1068
01:01:27,800 --> 01:01:30,320
Speaker 1: was eroding one of our country's greatest exports, a commitment

1069
01:01:30,320 --> 01:01:36,200
Speaker 1: to free speech. It was not just divisive, but increasingly dangerous.

1070
01:01:36,240 --> 01:01:42,000
Speaker 1: He says, Oh, wow, dangerous like putting people under threat?

1071
01:01:42,200 --> 01:01:46,160
Speaker 1: How is it dangerous? Is it dangerous to their relevancy?

1072
01:01:46,280 --> 01:01:49,560
Speaker 1: Is the dangerous to their careers or dangerous to their safeties. Either.

1073
01:01:49,720 --> 01:01:52,480
Speaker 1: They like to pretend that it's dangerous to their safety.

1074
01:01:52,640 --> 01:01:56,760
Speaker 1: And that's just a bunch of pearl clutching, pathetic nonsense,

1075
01:01:57,280 --> 01:02:01,320
Speaker 1: all right. D C journals and the political class, uh

1076
01:02:01,480 --> 01:02:04,360
Speaker 1: that they cover and well and that they consider themselves

1077
01:02:04,360 --> 01:02:07,280
Speaker 1: really a part of They can strut around ec or

1078
01:02:07,280 --> 01:02:10,320
Speaker 1: anywhere in the country with the same self satisfaction they've

1079
01:02:10,360 --> 01:02:13,400
Speaker 1: always had. All Right, just because of occasional Trump supporters

1080
01:02:13,520 --> 01:02:16,120
Speaker 1: calls them the fake news, doesn't mean that they're under threat.

1081
01:02:16,320 --> 01:02:18,520
Speaker 1: You know. For people who claim to care so much

1082
01:02:18,600 --> 01:02:22,320
Speaker 1: about the First Amendment, journalists in the era of Trump

1083
01:02:22,720 --> 01:02:28,720
Speaker 1: seem particularly shocked that their fellow Americans have First Amendment

1084
01:02:28,800 --> 01:02:31,880
Speaker 1: rights too. But you know, journalists like they like to

1085
01:02:31,920 --> 01:02:35,640
Speaker 1: have this martyrdom complex and and that's why they're they're

1086
01:02:35,640 --> 01:02:38,000
Speaker 1: taking all these positions now about oh, it's gonna lead

1087
01:02:38,040 --> 01:02:39,880
Speaker 1: to violence. You know. I just want to note that

1088
01:02:40,560 --> 01:02:44,240
Speaker 1: when I would say that Obama's rhetoric about and his

1089
01:02:44,280 --> 01:02:48,080
Speaker 1: administration's approach to police was going to lead to violence,

1090
01:02:48,240 --> 01:02:51,360
Speaker 1: and it did, they went from saying, oh, that will

1091
01:02:51,400 --> 01:02:53,760
Speaker 1: never happen to oh, we we we had no we

1092
01:02:53,960 --> 01:03:00,440
Speaker 1: in the media by propagating these themes of exact durrated

1093
01:03:00,520 --> 01:03:04,720
Speaker 1: racism and law enforcement. We had no role in and

1094
01:03:04,880 --> 01:03:07,760
Speaker 1: pushing these storylines that then turned into some members. There

1095
01:03:07,760 --> 01:03:10,200
Speaker 1: are people who said, yeah, because of Black Lives Matter,

1096
01:03:10,240 --> 01:03:13,840
Speaker 1: I'm gonna go out and the assassinated police officers that happened.

1097
01:03:13,880 --> 01:03:15,680
Speaker 1: That's not just a theory or that's not just you know,

1098
01:03:15,720 --> 01:03:18,439
Speaker 1: maybe that one day that did happen. But in that case,

1099
01:03:18,440 --> 01:03:19,960
Speaker 1: the media says, oh, no, we had no part in

1100
01:03:20,000 --> 01:03:23,680
Speaker 1: creating that climate. Now with Trump, he just calls them

1101
01:03:23,680 --> 01:03:26,520
Speaker 1: fake news. He's criticizing their work. Folks, when he says

1102
01:03:26,520 --> 01:03:30,120
Speaker 1: he's the they're the enemy of the people. He's not

1103
01:03:30,160 --> 01:03:32,800
Speaker 1: saying they're the military enemy of the people. He's just

1104
01:03:32,840 --> 01:03:35,120
Speaker 1: saying that they're the enemy of truth, which is what well,

1105
01:03:35,160 --> 01:03:36,959
Speaker 1: at least that's what I call see an end these days.

1106
01:03:36,960 --> 01:03:39,600
Speaker 1: But no one really thinks this is going to lead

1107
01:03:39,640 --> 01:03:43,200
Speaker 1: to violence, and it hasn't led to violence. Meanwhile, Trump

1108
01:03:43,200 --> 01:03:46,040
Speaker 1: supporters are being attacked for wearing MAGA hats and they're

1109
01:03:46,080 --> 01:03:49,520
Speaker 1: being spit on, and you know, Trump administration officials are

1110
01:03:49,520 --> 01:03:52,560
Speaker 1: being harassed and kicked out of establishments. On all that

1111
01:03:52,640 --> 01:03:55,400
Speaker 1: is happening. But we're supposed to worry about the press.

1112
01:03:56,800 --> 01:04:01,200
Speaker 1: The press is a very for hunt bunch. And I

1113
01:04:01,280 --> 01:04:03,400
Speaker 1: consider myself in that capacity too, because all of you

1114
01:04:03,400 --> 01:04:04,640
Speaker 1: listen to me. I get to do a job I

1115
01:04:04,720 --> 01:04:07,320
Speaker 1: love every day, so thank you. I am very fortunate.

1116
01:04:07,960 --> 01:04:10,760
Speaker 1: I don't walk around though, like these other guys do.

1117
01:04:10,080 --> 01:04:14,400
Speaker 1: There's so much threat. Yeah, I get death threats and

1118
01:04:14,440 --> 01:04:17,240
Speaker 1: people say terrible things to me. Who cares? Part of

1119
01:04:17,280 --> 01:04:19,520
Speaker 1: the job. What do you deal with? People are savages?

1120
01:04:19,600 --> 01:04:22,360
Speaker 1: You deal with it right this journalist though, Really you

1121
01:04:22,400 --> 01:04:25,240
Speaker 1: gotta bust out the world's smallest violin for them. Give

1122
01:04:25,320 --> 01:04:28,240
Speaker 1: me a break. New York Times saying, oh, they're under threat.

1123
01:04:28,240 --> 01:04:32,320
Speaker 1: They're not. They're under threat of irrelevance. That's the only threat.

1124
01:04:32,440 --> 01:04:44,320
Speaker 1: We'll be right back. Some of you may think that

1125
01:04:44,440 --> 01:04:49,560
Speaker 1: the whole Affirmtive Action college kerfuffle right now isn't something

1126
01:04:49,640 --> 01:04:52,680
Speaker 1: that really concerns you, or it's not that VEGA deal,

1127
01:04:52,960 --> 01:04:55,880
Speaker 1: or who really cares? Well, I want to tell you

1128
01:04:55,960 --> 01:05:02,200
Speaker 1: this does really matter because these university have become bloated

1129
01:05:02,240 --> 01:05:06,800
Speaker 1: with power and influence and money, and also they are

1130
01:05:06,880 --> 01:05:11,040
Speaker 1: pushing a lot of national level policy. And if the

1131
01:05:11,160 --> 01:05:16,600
Speaker 1: left loses on this admissions affirmative action battle, it'll affect

1132
01:05:16,640 --> 01:05:19,560
Speaker 1: a whole bunch of other social policy that they've been

1133
01:05:19,600 --> 01:05:26,400
Speaker 1: pushing that is essentially bias that they like, bias that

1134
01:05:26,480 --> 01:05:30,040
Speaker 1: they think is a good thing. Let me give you

1135
01:05:30,040 --> 01:05:36,280
Speaker 1: the latest on this one. Harvard has had to share

1136
01:05:37,720 --> 01:05:43,320
Speaker 1: some insider details about its admissions process, and first of all,

1137
01:05:43,200 --> 01:05:47,240
Speaker 1: you learn some of the jargon out there, lopping tips

1138
01:05:47,360 --> 01:05:49,280
Speaker 1: and the Z list. For example, this was the New

1139
01:05:49,360 --> 01:05:56,240
Speaker 1: York Times bias lawsuit explores Harvard's admission secrets. And what

1140
01:05:56,400 --> 01:05:59,280
Speaker 1: you see from this whole process is that there's a

1141
01:05:59,400 --> 01:06:03,880
Speaker 1: lot of of horse trading and shenanigans going on behind

1142
01:06:03,960 --> 01:06:09,240
Speaker 1: closed doors because there are far more highly qualified applicants

1143
01:06:09,280 --> 01:06:13,600
Speaker 1: for all these slots then there are slots to give

1144
01:06:13,640 --> 01:06:17,840
Speaker 1: to people. Here just some statistics. Forty thousand students apply

1145
01:06:17,880 --> 01:06:20,320
Speaker 1: each year to Harvard University, right the most famous university

1146
01:06:20,360 --> 01:06:24,120
Speaker 1: in the world. Two thousand are admitted for six hundred

1147
01:06:24,120 --> 01:06:26,400
Speaker 1: seats in the freshman class. The chances of admission are

1148
01:06:26,480 --> 01:06:32,080
Speaker 1: under five thirty five hundred students had perfect sa T

1149
01:06:32,240 --> 01:06:36,640
Speaker 1: math scores, twenty undred had perfect SAT verbal scores, and

1150
01:06:36,760 --> 01:06:39,280
Speaker 1: more than eight thousand had straight a's. Well, that just

1151
01:06:39,280 --> 01:06:41,040
Speaker 1: goes to show you, by the way, the need for

1152
01:06:41,200 --> 01:06:45,240
Speaker 1: standardized testing, because you know, if everybody's getting straight a's,

1153
01:06:45,280 --> 01:06:46,880
Speaker 1: too many people are getting straight a's, if you know

1154
01:06:46,880 --> 01:06:49,440
Speaker 1: what I mean. But the reason this is such a

1155
01:06:49,440 --> 01:06:55,920
Speaker 1: big fight is because the social justice left. And this

1156
01:06:56,000 --> 01:06:58,120
Speaker 1: is true at the highest level of the most elite

1157
01:06:58,200 --> 01:07:02,320
Speaker 1: levels of government and act ademia and professional life too.

1158
01:07:02,800 --> 01:07:04,960
Speaker 1: You know, I remember here, here's here's a quick aside.

1159
01:07:05,040 --> 01:07:08,720
Speaker 1: I had a friend who told me that he at

1160
01:07:08,760 --> 01:07:12,400
Speaker 1: a major company. This was this was years and years ago.

1161
01:07:12,960 --> 01:07:18,320
Speaker 1: He um said at a at a diversity event. He

1162
01:07:18,360 --> 01:07:21,240
Speaker 1: said it a diversity event to a student or to

1163
01:07:21,360 --> 01:07:23,960
Speaker 1: a recent hire brought in through a Remember they called

1164
01:07:23,960 --> 01:07:27,240
Speaker 1: it a diversity hiring event, and he said, oh, I'm

1165
01:07:27,280 --> 01:07:29,919
Speaker 1: just I'm I'm so glad that we're really we're really

1166
01:07:30,000 --> 01:07:33,560
Speaker 1: upping the diversity here. And the person who had been

1167
01:07:33,640 --> 01:07:36,560
Speaker 1: hired through the diversity event, that's what it was called,

1168
01:07:37,240 --> 01:07:42,320
Speaker 1: filed a complaint. Felt that by somebody saying that somebody

1169
01:07:42,360 --> 01:07:46,360
Speaker 1: was hired at the diversity event and therefore they were

1170
01:07:46,400 --> 01:07:51,160
Speaker 1: increasing their diversity, felt that was a slight mm hmm.

1171
01:07:52,680 --> 01:07:54,880
Speaker 1: Now I know that sounds like maybe something of a

1172
01:07:55,480 --> 01:07:57,760
Speaker 1: of just a random aside, but that really goes to

1173
01:07:57,800 --> 01:08:00,000
Speaker 1: the heart of what's going on with this whole form

1174
01:08:00,000 --> 01:08:03,680
Speaker 1: of action policy. You have people who are being given

1175
01:08:03,720 --> 01:08:07,560
Speaker 1: an advantage or a disadvantage because of their skin color.

1176
01:08:08,440 --> 01:08:11,120
Speaker 1: And yet, if you were to ever say to somebody, hey,

1177
01:08:11,160 --> 01:08:13,600
Speaker 1: were you given an advantage because of your skin color?

1178
01:08:13,720 --> 01:08:19,240
Speaker 1: That's racist. Meanwhile, the policy that Harvard engages in is

1179
01:08:19,400 --> 01:08:24,439
Speaker 1: and increasingly we see explicitly, yes, sometimes your skin color

1180
01:08:24,640 --> 01:08:27,440
Speaker 1: is going to be used to give you an advantage

1181
01:08:27,520 --> 01:08:30,639
Speaker 1: over other people. And the correllarory to that is your

1182
01:08:30,680 --> 01:08:35,000
Speaker 1: skin color will be a disadvantage in some cases if

1183
01:08:35,040 --> 01:08:38,320
Speaker 1: you are white or if you are Asia, Harvard can

1184
01:08:38,320 --> 01:08:39,720
Speaker 1: play all the games that it wants. And you could

1185
01:08:39,720 --> 01:08:42,719
Speaker 1: see they're trying. So oh, they're saying, there's are trade secrets.

1186
01:08:42,720 --> 01:08:46,559
Speaker 1: That's right, folks, Harvard and Harvard's admissions process is now

1187
01:08:47,240 --> 01:08:51,120
Speaker 1: considered a trade secret. Why there shouldn't it be the

1188
01:08:51,160 --> 01:08:52,839
Speaker 1: easiest thing in the world. We take the most impressive,

1189
01:08:52,880 --> 01:08:55,920
Speaker 1: highest achievers we can. Shouldn't that be the all? But

1190
01:08:56,040 --> 01:08:59,240
Speaker 1: let's basically that's not the policy. Harvard is engaged in

1191
01:08:59,280 --> 01:09:03,680
Speaker 1: this massive social engineering effort because they have too many

1192
01:09:03,680 --> 01:09:05,559
Speaker 1: students with perfect grades. They have too many students with

1193
01:09:05,600 --> 01:09:09,800
Speaker 1: perfect board scores, s A T scores, applying, they do

1194
01:09:09,840 --> 01:09:12,599
Speaker 1: all this other stuff, and that's where you get into lopping,

1195
01:09:13,240 --> 01:09:16,040
Speaker 1: tips and the Z list, as this New York Times

1196
01:09:16,040 --> 01:09:20,160
Speaker 1: piece says it. And these are the insider terms. And

1197
01:09:20,200 --> 01:09:22,080
Speaker 1: they have this at other schools too. They have different

1198
01:09:22,400 --> 01:09:24,720
Speaker 1: depends on what the school is and how they do it.

1199
01:09:25,680 --> 01:09:29,479
Speaker 1: But you know, lopping is when you have people that

1200
01:09:29,520 --> 01:09:31,280
Speaker 1: are on the bubble and you chopped them down, meaning

1201
01:09:31,280 --> 01:09:33,400
Speaker 1: that they're close to getting in, and you'd say we've

1202
01:09:33,400 --> 01:09:35,760
Speaker 1: got to just whittle this list down even more, they

1203
01:09:35,800 --> 01:09:38,519
Speaker 1: get lopped. A tip is somebody who gets a little

1204
01:09:38,600 --> 01:09:42,360
Speaker 1: extra advantage because of something. And the Z list is

1205
01:09:42,520 --> 01:09:48,479
Speaker 1: the essentially the front, you know, the the the the

1206
01:09:48,520 --> 01:09:51,880
Speaker 1: money the money list, somebody who knows somebody in what

1207
01:09:51,920 --> 01:09:56,840
Speaker 1: they call the advancement office, you know, which is if

1208
01:09:56,920 --> 01:09:59,280
Speaker 1: you're come from a really rich family or a really

1209
01:09:59,360 --> 01:10:01,200
Speaker 1: rich family wan you in, you might you might get

1210
01:10:01,240 --> 01:10:03,479
Speaker 1: on the Z list. So look, it's not just race

1211
01:10:03,600 --> 01:10:06,720
Speaker 1: that and I get that right, They built athletes get

1212
01:10:06,720 --> 01:10:11,240
Speaker 1: a preference, but again athletics is at least based on merit, uh.

1213
01:10:11,320 --> 01:10:16,440
Speaker 1: But athletes get preferences of people that have particular skills. Um,

1214
01:10:16,479 --> 01:10:19,679
Speaker 1: you can argue, and I'm open to it, that it's

1215
01:10:19,720 --> 01:10:22,519
Speaker 1: not part of a meritocracy to take the children of

1216
01:10:22,520 --> 01:10:26,640
Speaker 1: alumni called legacy admissions, or to take people who are

1217
01:10:26,680 --> 01:10:29,439
Speaker 1: just really rich. But I would say, yeah, but they're

1218
01:10:29,479 --> 01:10:32,720
Speaker 1: also they're they're running in effect that they say it's

1219
01:10:32,720 --> 01:10:35,680
Speaker 1: a nonprofit, but it really is a business, and they

1220
01:10:35,720 --> 01:10:38,519
Speaker 1: want money. And these professors paid themselves. These professors get

1221
01:10:38,520 --> 01:10:40,880
Speaker 1: paid very nice salaries or places like Harvard with really

1222
01:10:40,920 --> 01:10:45,120
Speaker 1: cushy benefits, So you know that they want money. And

1223
01:10:45,240 --> 01:10:47,760
Speaker 1: I'm not saying that's I'm not saying that's fair or right,

1224
01:10:48,120 --> 01:10:51,720
Speaker 1: but I do understand it. Um, then you have the

1225
01:10:51,720 --> 01:10:54,400
Speaker 1: whole racial angle and people up until now, and this

1226
01:10:54,439 --> 01:10:56,360
Speaker 1: is where this whole case really turns, because it's gonna

1227
01:10:56,360 --> 01:10:57,840
Speaker 1: go out the Supreme Court. Folks, this is a big deal.

1228
01:10:57,880 --> 01:11:01,040
Speaker 1: It's gonna affect national level policies effect if you have kids.

1229
01:11:01,960 --> 01:11:05,479
Speaker 1: The outcome of this challenge right now from students for

1230
01:11:05,560 --> 01:11:12,760
Speaker 1: admissions fairness, UH, could change the game of how these

1231
01:11:12,760 --> 01:11:15,720
Speaker 1: elite schools take people and and what their criteria are

1232
01:11:15,760 --> 01:11:18,840
Speaker 1: for admission. So as I continue to look at this

1233
01:11:18,920 --> 01:11:22,000
Speaker 1: I just want to note that, you know, Harvard says, well,

1234
01:11:22,040 --> 01:11:24,280
Speaker 1: we have this really complicated process with all this different

1235
01:11:24,280 --> 01:11:29,320
Speaker 1: stuff happening. Okay, that's all true, that's all fine, but uh,

1236
01:11:30,120 --> 01:11:35,960
Speaker 1: on the issue of race. They do pick some races

1237
01:11:36,280 --> 01:11:41,519
Speaker 1: as more appealing to their admissions process based on the

1238
01:11:41,600 --> 01:11:44,479
Speaker 1: numbers of you know, where they're applying for everything than others,

1239
01:11:45,600 --> 01:11:51,960
Speaker 1: and Asians get the the unfair deal as a result

1240
01:11:52,000 --> 01:11:54,360
Speaker 1: of this one. Asians in particularly and unfair and there's

1241
01:11:54,360 --> 01:11:55,679
Speaker 1: just no way around it. And when you look into

1242
01:11:55,680 --> 01:11:57,920
Speaker 1: some of the rhetoric that they use, they say, oh,

1243
01:11:57,960 --> 01:12:00,280
Speaker 1: this Asian seems and this was really. This is I

1244
01:12:00,320 --> 01:12:04,480
Speaker 1: think why this got so got so much attention today

1245
01:12:04,680 --> 01:12:09,800
Speaker 1: because it's it's in the personality metric that there that

1246
01:12:09,840 --> 01:12:13,920
Speaker 1: the admissions committed at Harvard is knocking Asians down, which

1247
01:12:13,920 --> 01:12:16,320
Speaker 1: starts to get into some stereotypes. Right. They'll talk about

1248
01:12:16,320 --> 01:12:19,519
Speaker 1: how an Asian was quote busy and bright but looks

1249
01:12:19,560 --> 01:12:23,559
Speaker 1: like many others, very busy but doesn't go the extra

1250
01:12:23,640 --> 01:12:27,200
Speaker 1: mile and looks like many others. These are all quotes

1251
01:12:27,320 --> 01:12:30,000
Speaker 1: from the admissions notes that have come out in this lawsuit.

1252
01:12:30,080 --> 01:12:32,960
Speaker 1: Now yet another was bright and busy, but it was

1253
01:12:33,000 --> 01:12:35,559
Speaker 1: a bit difficult to see what would hold him in

1254
01:12:35,800 --> 01:12:38,400
Speaker 1: during a lot, which means that when they do kind

1255
01:12:38,400 --> 01:12:42,400
Speaker 1: of a coloring of the admissions a lot, just a

1256
01:12:42,479 --> 01:12:45,599
Speaker 1: lot of trying to find reasons that are very flimsy

1257
01:12:45,640 --> 01:12:48,160
Speaker 1: to not take Asian kids with perfect grades and perfect

1258
01:12:48,200 --> 01:12:51,799
Speaker 1: SAT scores. A lot of twisting and knots. And then

1259
01:12:52,000 --> 01:12:57,040
Speaker 1: for other students of other ethnic backgrounds, you see, well,

1260
01:12:57,080 --> 01:12:59,720
Speaker 1: you know, the grades aren't great, but you know, the

1261
01:12:59,840 --> 01:13:03,240
Speaker 1: the children of immigrants, that's a big one. By the way,

1262
01:13:03,240 --> 01:13:07,000
Speaker 1: Oh that's right, the children of immigrants even better, children

1263
01:13:07,000 --> 01:13:11,120
Speaker 1: of illegal immigrants, that's right. That helps you get into Harvard. Now,

1264
01:13:11,640 --> 01:13:16,160
Speaker 1: so if your parents broke the law, you get a

1265
01:13:16,160 --> 01:13:18,320
Speaker 1: little extra. And remember I'm using Harvard as a standard.

1266
01:13:18,360 --> 01:13:20,720
Speaker 1: This is true of all these schools. Now, this is

1267
01:13:20,720 --> 01:13:22,679
Speaker 1: true across That was true it Yale, it's true at Stanford,

1268
01:13:22,680 --> 01:13:24,360
Speaker 1: it's true everywhere. This is what they're doing. This is

1269
01:13:24,360 --> 01:13:27,680
Speaker 1: now commonplace. Harvard is the industry leader. Trust me, this

1270
01:13:27,720 --> 01:13:30,360
Speaker 1: is happening elsewhere. But yeah, that's right. If your parents

1271
01:13:30,400 --> 01:13:35,840
Speaker 1: broke the law, you are more desirable then, you know,

1272
01:13:35,920 --> 01:13:38,400
Speaker 1: say somebody who comes from like a fourth generation family

1273
01:13:38,400 --> 01:13:42,240
Speaker 1: of military service in the Midwest. You know, you're not

1274
01:13:42,280 --> 01:13:45,559
Speaker 1: as desirable as somebody applying to Harvard as somebody who

1275
01:13:46,120 --> 01:13:47,760
Speaker 1: you know their parents broke the law and came here

1276
01:13:47,920 --> 01:13:51,839
Speaker 1: and are on public assistance. They're more desirable from Harvard's

1277
01:13:51,840 --> 01:13:54,439
Speaker 1: point of view. I think that's a tough thing for

1278
01:13:54,439 --> 01:13:56,800
Speaker 1: the American people to swallow. There's a reason Harvard has

1279
01:13:56,800 --> 01:14:01,479
Speaker 1: been fighting tooth and nail to avoid the disclosure of

1280
01:14:01,520 --> 01:14:03,479
Speaker 1: this information because they know it doesn't look it's not

1281
01:14:03,520 --> 01:14:06,719
Speaker 1: about trade secrets, it doesn't look good. And it's because

1282
01:14:06,760 --> 01:14:12,439
Speaker 1: you have these these defeat liberal snobs essentially of all

1283
01:14:12,520 --> 01:14:17,519
Speaker 1: backgrounds and races at these and these admissions committees that

1284
01:14:17,560 --> 01:14:21,720
Speaker 1: are instituting their own form of social engineering. And you know,

1285
01:14:21,840 --> 01:14:23,680
Speaker 1: some of you said, oh, bucket sounds. Why are you

1286
01:14:23,680 --> 01:14:25,400
Speaker 1: so hard on these schools. I've gotten some of these emails.

1287
01:14:26,600 --> 01:14:28,120
Speaker 1: For one, I mean, I went to Amhersts, so I

1288
01:14:28,160 --> 01:14:30,200
Speaker 1: know that I know the drill. I Amherst is just

1289
01:14:30,400 --> 01:14:34,080
Speaker 1: like all these other places. And too, I think that

1290
01:14:34,160 --> 01:14:38,400
Speaker 1: this is wrong, folks. This isn't a oh why didn't

1291
01:14:38,439 --> 01:14:43,400
Speaker 1: I uh, you know, I think there's often this effort

1292
01:14:43,439 --> 01:14:45,000
Speaker 1: to try and make it sound like this isn't a

1293
01:14:45,000 --> 01:14:48,160
Speaker 1: big deal. Somehow. This determines the course of a lot

1294
01:14:48,200 --> 01:14:52,880
Speaker 1: of people's lives. This determines in some part you're earning

1295
01:14:52,920 --> 01:14:54,599
Speaker 1: potential for the rest of your life. I mean, these

1296
01:14:54,640 --> 01:14:58,599
Speaker 1: schools are gatekeepers for the rest of society. Now, if

1297
01:14:58,600 --> 01:15:00,280
Speaker 1: you want a certain kind of job, a sort kind

1298
01:15:00,280 --> 01:15:02,360
Speaker 1: of plays, you need a fancy resident, You need a

1299
01:15:02,360 --> 01:15:05,040
Speaker 1: fancy degree at least to start out with on your

1300
01:15:05,200 --> 01:15:09,240
Speaker 1: on your CV. So they have tremendous power and authority

1301
01:15:09,280 --> 01:15:11,240
Speaker 1: in our society, and I think they're misusing, and I

1302
01:15:11,240 --> 01:15:13,200
Speaker 1: think they're acting in a way that is that is unethical.

1303
01:15:13,200 --> 01:15:15,640
Speaker 1: I'll never forget when the Supreme Court, when I was

1304
01:15:15,680 --> 01:15:17,360
Speaker 1: in college, looked at one of these decisions and just

1305
01:15:17,600 --> 01:15:23,280
Speaker 1: narrowly upheld race conscious admissions. The college president and emer said, well,

1306
01:15:23,320 --> 01:15:25,559
Speaker 1: even if this Supreme Court rules against us, we'll find

1307
01:15:25,560 --> 01:15:27,960
Speaker 1: a way around its breath. He said that in a

1308
01:15:28,000 --> 01:15:31,120
Speaker 1: whole big room full of people. I thought, Okay, so

1309
01:15:31,160 --> 01:15:33,880
Speaker 1: here we go. Liberals. When they win at the Supreme Court,

1310
01:15:34,720 --> 01:15:37,880
Speaker 1: it's gospel. When they lose the Supreme Court, it doesn't count.

1311
01:15:38,840 --> 01:15:40,360
Speaker 1: You'll see that a lot more coming up in the

1312
01:15:40,360 --> 01:15:42,800
Speaker 1: future of my friends, and we've got much more. So

1313
01:15:42,920 --> 01:15:48,000
Speaker 1: stay with Buck Sexton mission, decoding the news and disseminating information.

1314
01:15:48,200 --> 01:15:54,360
Speaker 1: Who is actionable intelligence. Make no mistake, American, You're a

1315
01:15:54,400 --> 01:15:59,960
Speaker 1: great American. Again. This is the Buck Sexton Show. Analysts,

1316
01:16:00,000 --> 01:16:11,080
Speaker 1: remember the animal Sexton Sexton. Look at this, Look at

1317
01:16:11,080 --> 01:16:16,960
Speaker 1: they's a good girl. You're a good little girl like you, Sophie.

1318
01:16:17,960 --> 01:16:38,799
Speaker 1: Look what does this say? Sweet dreams? Sweet dreams? Sofie

1319
01:16:38,800 --> 01:16:42,880
Speaker 1: out now you may be thinking it sounds like a

1320
01:16:42,880 --> 01:16:47,240
Speaker 1: pretty normal session of of somebody who is, you know,

1321
01:16:47,680 --> 01:16:51,080
Speaker 1: introducing a young child on the BBC. That's what that

1322
01:16:51,120 --> 01:16:56,639
Speaker 1: audio is from on the BBC to two toys. You know, Sophie,

1323
01:16:56,720 --> 01:16:58,560
Speaker 1: do you want to play with a little offender? Do

1324
01:16:58,600 --> 01:17:01,400
Speaker 1: you want to play with the little the selfie? Is

1325
01:17:01,439 --> 01:17:04,719
Speaker 1: that what you want? Uh? She didn't really sound quite

1326
01:17:04,720 --> 01:17:07,400
Speaker 1: like that, but close enough. Here's what they're not telling you.

1327
01:17:07,439 --> 01:17:09,000
Speaker 1: But I can see because I'm looking at the video

1328
01:17:09,040 --> 01:17:11,800
Speaker 1: and all the subtext or all the actual text. So

1329
01:17:11,880 --> 01:17:15,880
Speaker 1: if he's a boy, Sophie as a boy. The BBC

1330
01:17:16,560 --> 01:17:20,240
Speaker 1: put out this video over the weekend with the headline,

1331
01:17:20,680 --> 01:17:24,320
Speaker 1: well here it is. Are you sure you don't gender

1332
01:17:24,439 --> 01:17:28,599
Speaker 1: stereo type your children? We did an experiment to see

1333
01:17:28,600 --> 01:17:32,840
Speaker 1: what people really think of little boys and girls hashtag

1334
01:17:33,400 --> 01:17:38,800
Speaker 1: no more boys and girls, folks, we're already at the

1335
01:17:38,840 --> 01:17:42,400
Speaker 1: point where the progressive left. It's true in the UK,

1336
01:17:42,520 --> 01:17:44,719
Speaker 1: it's true in this country as well. In some ways,

1337
01:17:44,720 --> 01:17:47,720
Speaker 1: I think we're even further along on the transgender on

1338
01:17:47,800 --> 01:17:52,360
Speaker 1: the transgender social justice spectrum than Brittans. But I've been

1339
01:17:52,360 --> 01:17:55,479
Speaker 1: saying for a while that really the the end goal

1340
01:17:55,800 --> 01:17:59,560
Speaker 1: of much of what we see here is the eradication

1341
01:18:00,840 --> 01:18:08,920
Speaker 1: of gender differences through policy, ignoring the realities of gender

1342
01:18:08,960 --> 01:18:12,519
Speaker 1: differences that exist as a function of biology. And this

1343
01:18:12,600 --> 01:18:14,439
Speaker 1: is a perfect example of the mean. Now, now you've

1344
01:18:14,439 --> 01:18:18,439
Speaker 1: got this experiment where they've got a a boy and

1345
01:18:18,479 --> 01:18:20,519
Speaker 1: a girl, and they dress them differently, and they call

1346
01:18:20,560 --> 01:18:22,479
Speaker 1: them different names, and they have them playing with girl

1347
01:18:22,560 --> 01:18:26,200
Speaker 1: toys or boy toys, you know, if they're they basically

1348
01:18:26,280 --> 01:18:28,599
Speaker 1: mix and match, right, So the girl is being told

1349
01:18:28,600 --> 01:18:30,559
Speaker 1: to play with all the boy toys and all the

1350
01:18:30,680 --> 01:18:34,000
Speaker 1: you know, the dragons and the cars, and they're saying, oh, well,

1351
01:18:34,080 --> 01:18:36,040
Speaker 1: this is And by the way, they're not gonna like

1352
01:18:36,120 --> 01:18:41,080
Speaker 1: where this if they really push this, the the leftists

1353
01:18:41,160 --> 01:18:44,960
Speaker 1: aren't gonna like where this all goes because they're saying, oh, well,

1354
01:18:45,000 --> 01:18:48,880
Speaker 1: because of the toys that boys play with as babies

1355
01:18:49,720 --> 01:18:53,719
Speaker 1: that is responsible. Essentially, this is making a nature versus

1356
01:18:53,800 --> 01:18:57,800
Speaker 1: nurture argument, and they're saying that nurture here, which is

1357
01:18:57,840 --> 01:19:01,800
Speaker 1: based in gender stereotype being, is the reason for the

1358
01:19:01,880 --> 01:19:05,919
Speaker 1: differential between male and female achievement in math and science

1359
01:19:06,000 --> 01:19:11,760
Speaker 1: and other spatial you know, spatial stuff. And well why

1360
01:19:12,040 --> 01:19:14,879
Speaker 1: men are more likely to be race car drivers, for example,

1361
01:19:15,160 --> 01:19:18,599
Speaker 1: or more likely to not just drive faster, but also

1362
01:19:18,640 --> 01:19:22,439
Speaker 1: more aggressively. Oh and by the way, there's another as

1363
01:19:22,439 --> 01:19:24,280
Speaker 1: another point. I did get to about that in just

1364
01:19:24,360 --> 01:19:28,599
Speaker 1: a moment. Uh. Anyway, this is this is what's going

1365
01:19:28,600 --> 01:19:32,000
Speaker 1: on at the BBC now hashtag no more boys and Girls.

1366
01:19:32,280 --> 01:19:34,320
Speaker 1: One of the problems with this is that it's just

1367
01:19:34,439 --> 01:19:37,880
Speaker 1: not true. If they're gonna try to use science to

1368
01:19:38,200 --> 01:19:40,280
Speaker 1: make this case, if they're going to try to pretend

1369
01:19:41,200 --> 01:19:45,160
Speaker 1: that there really is no difference between uh, male and

1370
01:19:45,240 --> 01:19:50,080
Speaker 1: female that is biologically determined, they're going to find that

1371
01:19:50,760 --> 01:19:53,800
Speaker 1: they have to falsify the results. We see this all

1372
01:19:53,840 --> 01:19:55,760
Speaker 1: around that you already know this, right Some of you

1373
01:19:55,800 --> 01:19:57,960
Speaker 1: listening to this are scientists, most of you aren't. You

1374
01:19:58,040 --> 01:20:01,240
Speaker 1: already know this. You know that men and women are

1375
01:20:01,240 --> 01:20:02,600
Speaker 1: different You don't have to be told that men and

1376
01:20:02,600 --> 01:20:07,240
Speaker 1: women are are different. You're you're fully aware of that reality.

1377
01:20:08,280 --> 01:20:12,360
Speaker 1: And yet here we are where we are being told, oh,

1378
01:20:12,439 --> 01:20:14,960
Speaker 1: not only are men and men and women not not

1379
01:20:15,080 --> 01:20:19,640
Speaker 1: different biologically in any meaningful way, but if we just

1380
01:20:19,880 --> 01:20:22,880
Speaker 1: dress them differently and treat them as though they're the

1381
01:20:22,920 --> 01:20:28,360
Speaker 1: other gender, that's not going to result in any problems

1382
01:20:28,880 --> 01:20:32,040
Speaker 1: or that that's not a strange thing to do. This

1383
01:20:32,120 --> 01:20:35,320
Speaker 1: is now, you know, the the cutting edge of of

1384
01:20:36,120 --> 01:20:40,600
Speaker 1: social social theorizing right now is we just dress a

1385
01:20:40,640 --> 01:20:42,680
Speaker 1: little boys a little girl, call him a girl's name,

1386
01:20:42,680 --> 01:20:44,960
Speaker 1: make him play with my little pony, and you'll see

1387
01:20:45,000 --> 01:20:46,760
Speaker 1: that boys and girls are no different. And that's just

1388
01:20:47,000 --> 01:20:49,439
Speaker 1: that's again this is but when I say this is

1389
01:20:49,640 --> 01:20:55,759
Speaker 1: biologically determined, it is biochemically determined. Testosterone results in different

1390
01:20:56,160 --> 01:20:58,840
Speaker 1: thought processes. And then when I see testoster, I know

1391
01:20:58,880 --> 01:21:00,840
Speaker 1: men and women the taster and they have estrogen, but

1392
01:21:01,240 --> 01:21:06,759
Speaker 1: higher levels of testosterone result in attitudinal differences. We all

1393
01:21:06,800 --> 01:21:10,320
Speaker 1: know this. You already know this. Why are scientists and

1394
01:21:10,400 --> 01:21:14,960
Speaker 1: really sociologists and social scientists. Well, I've always said I

1395
01:21:15,000 --> 01:21:16,880
Speaker 1: don't like this notion of a social scientists, right, you're

1396
01:21:16,920 --> 01:21:19,320
Speaker 1: just a You're just somebody who reads stuff and thinks

1397
01:21:19,320 --> 01:21:21,400
Speaker 1: about things. There's not really a lot of science and

1398
01:21:21,520 --> 01:21:24,200
Speaker 1: social sciences for the most part. Why are they trying

1399
01:21:24,200 --> 01:21:26,439
Speaker 1: to forget what we already know and have known for

1400
01:21:26,479 --> 01:21:30,480
Speaker 1: a long time. If they were testing and retesting hypotheses,

1401
01:21:30,960 --> 01:21:32,640
Speaker 1: I'd be fine with it. But what you'll see with

1402
01:21:32,680 --> 01:21:35,400
Speaker 1: this is that they will ignore the data they don't like.

1403
01:21:36,360 --> 01:21:40,040
Speaker 1: They will try to either come up with conclusions that

1404
01:21:40,080 --> 01:21:45,000
Speaker 1: aren't there, or if the conclusions are unavoidable and they

1405
01:21:45,040 --> 01:21:47,800
Speaker 1: don't like them, they'll just pretend they never reached them.

1406
01:21:47,840 --> 01:21:51,320
Speaker 1: There is some mission in place. There's a and it

1407
01:21:51,360 --> 01:21:54,799
Speaker 1: comes from this mindset of radical equality. There's a mission

1408
01:21:54,840 --> 01:21:58,120
Speaker 1: in place to eradicate the differences between male and female

1409
01:21:58,160 --> 01:22:01,680
Speaker 1: as a means of making society equal. And this will

1410
01:22:01,760 --> 01:22:03,920
Speaker 1: lead only to misery and dysfunction because men and women

1411
01:22:03,960 --> 01:22:10,760
Speaker 1: are different. We are different. I this is something that

1412
01:22:10,800 --> 01:22:13,160
Speaker 1: you say out loud, as I just did, and it

1413
01:22:13,200 --> 01:22:15,880
Speaker 1: feels it feels almost stupid to say it, but it

1414
01:22:15,960 --> 01:22:20,400
Speaker 1: needs it bears repeating. These days, there's really clearly an

1415
01:22:20,439 --> 01:22:24,280
Speaker 1: effort out there to convince people that men women are

1416
01:22:24,280 --> 01:22:26,080
Speaker 1: not different. And I just sit here and say to myself.

1417
01:22:26,920 --> 01:22:33,080
Speaker 1: I mean, this is lunacy, This is doomed, doomed to failure.

1418
01:22:33,520 --> 01:22:36,879
Speaker 1: There is no way that this is going to result

1419
01:22:37,080 --> 01:22:41,800
Speaker 1: in happy outcomes. And you know this has also at

1420
01:22:41,960 --> 01:22:45,800
Speaker 1: some really crazy stuff. I mean, you know, the Swedes,

1421
01:22:45,880 --> 01:22:51,000
Speaker 1: for example, decided that they were going to here. Here

1422
01:22:51,080 --> 01:22:55,280
Speaker 1: here's from a piece A Galia, a new state sponsored

1423
01:22:55,320 --> 01:22:59,080
Speaker 1: preschool in Stockholm. This was from a piece by Christina

1424
01:22:59,160 --> 01:23:02,879
Speaker 1: hoff Summers in the Atlantic. A new state sponsored preschool

1425
01:23:02,880 --> 01:23:05,880
Speaker 1: in Stockholm is dedicated to the total obliteration of the

1426
01:23:06,000 --> 01:23:09,599
Speaker 1: male and female distinction. There are no boys and girls

1427
01:23:09,600 --> 01:23:13,920
Speaker 1: at a Galia, just friends and buddies. Classic fairy tales

1428
01:23:13,960 --> 01:23:17,320
Speaker 1: like Cinderella and snow White have been replaced by tales

1429
01:23:17,400 --> 01:23:23,439
Speaker 1: of two male giraffes who parent abandoned crocodile eggs. The

1430
01:23:23,520 --> 01:23:26,600
Speaker 1: Swedish Green Party would like a gallia to be the norm.

1431
01:23:26,640 --> 01:23:30,920
Speaker 1: It has suggested placing gender watchdogs in all the nations preschools.

1432
01:23:32,880 --> 01:23:36,000
Speaker 1: The gailia gives children quote a fantastic opportunity to be

1433
01:23:36,000 --> 01:23:38,880
Speaker 1: whoever they want to be, says one excited teacher. It

1434
01:23:39,000 --> 01:23:41,240
Speaker 1: is probably necessary to add this is not an Orwellian

1435
01:23:41,320 --> 01:23:45,640
Speaker 1: satire or right wing fantasy. This school actually exists. The

1436
01:23:45,680 --> 01:23:48,320
Speaker 1: problem with the gailly and gender neutral toy catalogs is

1437
01:23:48,360 --> 01:23:54,040
Speaker 1: that boys and girls on average do not have identical interest, propensities,

1438
01:23:54,160 --> 01:23:57,200
Speaker 1: or needs. And this is this is fantastic, by the way, folks,

1439
01:23:57,200 --> 01:23:58,960
Speaker 1: this is this is really this is from this piece

1440
01:23:58,960 --> 01:24:00,479
Speaker 1: in the Atlantic. Christ You know hops has does some

1441
01:24:00,520 --> 01:24:06,120
Speaker 1: really good stuff. Quote. Twenty years ago, has Bro, a

1442
01:24:06,160 --> 01:24:10,639
Speaker 1: major American toy manufacturing company, tested a playhouse it hoped

1443
01:24:10,640 --> 01:24:14,040
Speaker 1: to market to both boys and girls. It soon emerged

1444
01:24:14,080 --> 01:24:16,519
Speaker 1: that girls and boys did not interact with the structure

1445
01:24:16,560 --> 01:24:20,439
Speaker 1: in the same way. The girls dressed the dolls, kissed them,

1446
01:24:20,439 --> 01:24:24,880
Speaker 1: and played house. The boys catapulted the toy baby carriage

1447
01:24:24,920 --> 01:24:29,760
Speaker 1: from the roof. Hasbro manager came up with a novel explanation.

1448
01:24:30,160 --> 01:24:38,479
Speaker 1: Quote boys and girls are different. End quote yes we are.

1449
01:24:40,400 --> 01:24:42,439
Speaker 1: You all know that, especially those of you who have kids.

1450
01:24:43,120 --> 01:24:45,599
Speaker 1: When it comes to the way boys and girls interact

1451
01:24:45,640 --> 01:24:47,240
Speaker 1: with each other at a young age and the way

1452
01:24:47,240 --> 01:24:50,080
Speaker 1: they interact with the world around them, it is different.

1453
01:24:50,760 --> 01:24:57,360
Speaker 1: Biology is incredibly powerful, and these efforts to subdue biology

1454
01:24:57,400 --> 01:25:04,760
Speaker 1: in favor of this uh, this obsession with an absolute

1455
01:25:04,800 --> 01:25:08,360
Speaker 1: equality and one it will not work of long term

1456
01:25:08,360 --> 01:25:13,439
Speaker 1: it will to borrow from Ian Malcolm Life finds Away. No,

1457
01:25:13,560 --> 01:25:18,040
Speaker 1: but it really will not. It's not something they can do.

1458
01:25:18,640 --> 01:25:20,479
Speaker 1: I also find it fascinating you come up, you come

1459
01:25:20,520 --> 01:25:23,439
Speaker 1: up against this argument. The same people that are the

1460
01:25:23,479 --> 01:25:27,320
Speaker 1: little social engineers of these projects where they're treating boys

1461
01:25:27,320 --> 01:25:29,519
Speaker 1: like girls and girls like boys and just seeing what happens.

1462
01:25:30,360 --> 01:25:33,800
Speaker 1: They'll say, well, you know, a pacemaker isn't biology, and

1463
01:25:33,880 --> 01:25:37,240
Speaker 1: we don't resign to that. Well, yeah, so is is

1464
01:25:37,320 --> 01:25:41,720
Speaker 1: being a boy now a condition? Is it a disease? Oh?

1465
01:25:41,800 --> 01:25:45,320
Speaker 1: That's right. They have a phrase for this toxic masculinity.

1466
01:25:46,040 --> 01:25:48,439
Speaker 1: They really believe that we are all better off if

1467
01:25:48,439 --> 01:25:52,840
Speaker 1: we eradicate masculinity from society. You know, you gotta think

1468
01:25:52,880 --> 01:25:56,479
Speaker 1: that some other cultures around the world they're looking at

1469
01:25:56,560 --> 01:25:59,760
Speaker 1: us and thinking, these guys don't have These guys don't

1470
01:25:59,800 --> 01:26:02,800
Speaker 1: have long in the in the top seat. They really don't.

1471
01:26:03,120 --> 01:26:07,439
Speaker 1: It's not gonna last that they're they don't understand the

1472
01:26:07,600 --> 01:26:11,080
Speaker 1: very basic realities of what goes on in nature. For example,

1473
01:26:11,520 --> 01:26:15,479
Speaker 1: in a state of nature, there's always inequality even among

1474
01:26:15,479 --> 01:26:19,120
Speaker 1: a pack, even among the closest natural allies. Right, whether

1475
01:26:19,120 --> 01:26:24,280
Speaker 1: you're talking about a wolf pack, lions pride. There there's

1476
01:26:24,320 --> 01:26:29,600
Speaker 1: always an alpha, there's a primary female, there's you know,

1477
01:26:29,720 --> 01:26:33,439
Speaker 1: different relations between people don't have the same and I'm

1478
01:26:33,439 --> 01:26:35,120
Speaker 1: talking about in now a state of nature. Nature the

1479
01:26:35,160 --> 01:26:38,200
Speaker 1: same access to food, the same access to mating, the

1480
01:26:38,280 --> 01:26:42,439
Speaker 1: same you know, the same stature and standing. Competition is reality,

1481
01:26:42,479 --> 01:26:48,639
Speaker 1: and competition results in inequality. And male and female compete

1482
01:26:48,640 --> 01:26:51,080
Speaker 1: in different ways and compete with each other more than

1483
01:26:51,120 --> 01:26:54,040
Speaker 1: they compete against each other in many ways in a

1484
01:26:54,120 --> 01:26:58,360
Speaker 1: state of nature. This is stuff that has been known

1485
01:26:58,400 --> 01:27:01,320
Speaker 1: for a very long time. Why is it that you

1486
01:27:01,400 --> 01:27:06,479
Speaker 1: have people that are running these experiments and and clapping

1487
01:27:06,520 --> 01:27:10,840
Speaker 1: for themselves in the process, and and thinking that they're

1488
01:27:10,840 --> 01:27:13,040
Speaker 1: doing something that's really worthwhile, you know, to my point

1489
01:27:13,040 --> 01:27:20,639
Speaker 1: before about uh about the biochemistry. Here here, here's another

1490
01:27:20,680 --> 01:27:24,679
Speaker 1: piece from this is from the Christina Hoff Summers piece. Quote.

1491
01:27:24,760 --> 01:27:28,200
Speaker 1: David Geary, a developmental psychologist at the University of Missouri,

1492
01:27:28,400 --> 01:27:30,400
Speaker 1: told me in an email this week one of the

1493
01:27:30,479 --> 01:27:33,879
Speaker 1: largest and most persistent differences between the sexes are children's

1494
01:27:33,880 --> 01:27:37,920
Speaker 1: play preferences, the female preference for nurturing play and the

1495
01:27:37,960 --> 01:27:41,840
Speaker 1: male propensity for a rough and tumble hold. Cross culturally

1496
01:27:41,960 --> 01:27:46,280
Speaker 1: and even cross species among our close relatives, such as

1497
01:27:46,400 --> 01:27:50,120
Speaker 1: vervet and Reesis monkeys. Researchers have found that females play

1498
01:27:50,200 --> 01:27:54,000
Speaker 1: with dolls far more than their brothers, who prefer balls

1499
01:27:54,080 --> 01:27:58,479
Speaker 1: and toy cars. It seems unlikely that the monkeys were

1500
01:27:58,520 --> 01:28:02,879
Speaker 1: indoctrinated by stereo types in a top toy catalog. Something

1501
01:28:02,960 --> 01:28:07,679
Speaker 1: else is going on. Biology appears to play a role.

1502
01:28:08,640 --> 01:28:11,879
Speaker 1: Several animal studies have shown that hormonal manipulation can reverse

1503
01:28:11,920 --> 01:28:16,840
Speaker 1: sex type behavior. Folks end quote, it's biochemistry, it's nature,

1504
01:28:16,960 --> 01:28:21,240
Speaker 1: it's biology, that's what's happening here. And the regressive left

1505
01:28:21,320 --> 01:28:25,200
Speaker 1: thinks that it can, through social policy, re engineer all

1506
01:28:25,240 --> 01:28:28,519
Speaker 1: this stuff. They're wrong, and a better question to ask

1507
01:28:28,600 --> 01:28:31,360
Speaker 1: right now is why do they think this is even

1508
01:28:31,360 --> 01:28:34,559
Speaker 1: a worthwhile pursuit? And why don't they understand the cost

1509
01:28:34,600 --> 01:28:39,080
Speaker 1: associated with this? How can they not see that promoting

1510
01:28:39,120 --> 01:28:46,120
Speaker 1: transgenderism among very young children will result in all kinds

1511
01:28:46,120 --> 01:28:51,160
Speaker 1: of psychological difficulties and confusion later on life. It's also

1512
01:28:51,280 --> 01:28:54,080
Speaker 1: humiliation for the children, I think, and quite honestly a

1513
01:28:54,120 --> 01:28:57,600
Speaker 1: former child abuse. But this is what's this is the

1514
01:28:57,640 --> 01:29:00,240
Speaker 1: cutting edge of the progressive left these days. Folks treat

1515
01:29:00,240 --> 01:29:02,120
Speaker 1: you a little boy like a little girl, see what happens.

1516
01:29:02,840 --> 01:29:08,680
Speaker 1: Call your baby a baby's insanity. You know, the the

1517
01:29:08,760 --> 01:29:11,400
Speaker 1: job market is so crazy right now that there are

1518
01:29:11,439 --> 01:29:13,120
Speaker 1: folks who are saying, look, I don't even really care

1519
01:29:13,160 --> 01:29:15,360
Speaker 1: that much about your experience. I just want to bring

1520
01:29:15,400 --> 01:29:17,160
Speaker 1: in and higher. You will, guess what, no matter what

1521
01:29:17,200 --> 01:29:19,479
Speaker 1: someone's experiences, you need to know who you're bringing into

1522
01:29:19,520 --> 01:29:22,080
Speaker 1: your company, who you're bringing into your workplace, or who's

1523
01:29:22,120 --> 01:29:24,400
Speaker 1: gonna be renting your property from you. For all my

1524
01:29:24,439 --> 01:29:26,519
Speaker 1: business owners out there, for all the folks listening to

1525
01:29:26,640 --> 01:29:29,120
Speaker 1: own property they rent out to somebody, you want to

1526
01:29:29,160 --> 01:29:32,519
Speaker 1: make sure you have somebody checking up on that possible

1527
01:29:32,600 --> 01:29:35,640
Speaker 1: higher or tenant in a way that is quick, efficient

1528
01:29:35,960 --> 01:29:39,599
Speaker 1: and all about the details. Global Verification Network can do

1529
01:29:39,640 --> 01:29:43,040
Speaker 1: that for you. They're the only duel certified, veteran owned

1530
01:29:43,080 --> 01:29:47,200
Speaker 1: background investigation and vetting company. They're also federally certified as

1531
01:29:47,240 --> 01:29:49,920
Speaker 1: a veteran owned small business. Folks. They are headquartered here

1532
01:29:49,920 --> 01:29:53,479
Speaker 1: in Chicago. They never offshore your data. They do all

1533
01:29:53,479 --> 01:29:55,880
Speaker 1: of the work here in the States. I know the

1534
01:29:55,920 --> 01:29:59,120
Speaker 1: CEO personally. He's a great guy who's running a great company.

1535
01:29:59,120 --> 01:30:01,040
Speaker 1: You should really check the out. Go to my g

1536
01:30:01,240 --> 01:30:04,680
Speaker 1: VN dot com. That's my g VN dot com or

1537
01:30:04,720 --> 01:30:16,640
Speaker 1: called eight seven seven six nine five one one seven nine.

1538
01:30:17,120 --> 01:30:20,000
Speaker 1: So this uh story called my eye over the weekend,

1539
01:30:20,040 --> 01:30:22,280
Speaker 1: and I don't have much time to get into it today.

1540
01:30:22,320 --> 01:30:23,920
Speaker 1: I'm wondering how many of you have you even seen it?

1541
01:30:24,000 --> 01:30:31,720
Speaker 1: But a former Missoo basketball guard named Terence Phillips, and

1542
01:30:31,760 --> 01:30:36,320
Speaker 1: I don't pay attention to college basketball. Apparently he was, uh,

1543
01:30:36,520 --> 01:30:38,479
Speaker 1: I don't know, kind of a big deal in basketball world.

1544
01:30:38,520 --> 01:30:42,000
Speaker 1: I don't know, um, But he released on Twitter a

1545
01:30:42,040 --> 01:30:46,040
Speaker 1: long statement explaining that the Title nine investigation at the

1546
01:30:46,120 --> 01:30:51,799
Speaker 1: University of Missouri held on him about allegations of rape, stalking,

1547
01:30:51,800 --> 01:30:55,000
Speaker 1: and inappropriate sexual conduct was finished. Three of the four

1548
01:30:55,760 --> 01:31:02,120
Speaker 1: allegations were found to have insufficient evidence he I had.

1549
01:31:02,200 --> 01:31:04,400
Speaker 1: Here's what he said today, I can finally speak today

1550
01:31:04,439 --> 01:31:07,360
Speaker 1: the Time nine investigation I've been undergoing for the last

1551
01:31:07,439 --> 01:31:10,240
Speaker 1: six months is finally over. Today I can finally said

1552
01:31:10,240 --> 01:31:12,760
Speaker 1: I was found not responsible the allegations against me of

1553
01:31:12,800 --> 01:31:17,360
Speaker 1: sexual misconduct, rape exploitation, and stalking. I had four complaints

1554
01:31:17,400 --> 01:31:25,000
Speaker 1: filed and investigated, and one unanimously three of them, he said, So, uh,

1555
01:31:25,240 --> 01:31:31,760
Speaker 1: the investigation is over. And the investigation included a fifth complainant,

1556
01:31:31,880 --> 01:31:35,800
Speaker 1: who said that his behavior in class made her uncomfortable

1557
01:31:35,800 --> 01:31:38,200
Speaker 1: on the university said, well, that doesn't warrant an investigation.

1558
01:31:38,840 --> 01:31:40,400
Speaker 1: When you look into this, based on what I was

1559
01:31:40,439 --> 01:31:45,639
Speaker 1: able to find, I feel like there's a clear um. Well,

1560
01:31:46,080 --> 01:31:50,160
Speaker 1: this is another one of these instances where someone has

1561
01:31:50,200 --> 01:31:54,320
Speaker 1: no rights of no rights along the process. He lost

1562
01:31:54,400 --> 01:31:58,440
Speaker 1: his basketball scholarship. Okay, he lost the ability to play basketball.

1563
01:31:59,400 --> 01:32:04,479
Speaker 1: And he wasn't able to even have any due process rights.

1564
01:32:04,479 --> 01:32:07,240
Speaker 1: He wasn't able to have any any counsel to confront

1565
01:32:07,360 --> 01:32:10,759
Speaker 1: his accusers, none of that. And this was all done

1566
01:32:11,560 --> 01:32:17,280
Speaker 1: based upon I believe still well anonymous at least publicly

1567
01:32:17,320 --> 01:32:22,160
Speaker 1: complainant a and complainant be and all that allegations against him.

1568
01:32:22,200 --> 01:32:25,840
Speaker 1: He was found guilty of pushing his ex girlfriend some

1569
01:32:26,080 --> 01:32:29,640
Speaker 1: years ago by the panel, and and he said he

1570
01:32:29,640 --> 01:32:32,920
Speaker 1: admitted to pushing her and he was responci found responsible

1571
01:32:32,960 --> 01:32:35,960
Speaker 1: for intimate partner violence. But the same girl had said

1572
01:32:36,000 --> 01:32:37,720
Speaker 1: she made it her mission to ruin me because she

1573
01:32:37,760 --> 01:32:40,240
Speaker 1: feels as though I cheated on her during our relationship.

1574
01:32:41,200 --> 01:32:44,000
Speaker 1: And when when I read into this one, and this

1575
01:32:44,080 --> 01:32:46,240
Speaker 1: is another one of these cases where it seems like

1576
01:32:46,240 --> 01:32:48,680
Speaker 1: there are some women who really didn't like this guy,

1577
01:32:48,960 --> 01:32:53,200
Speaker 1: and you had some of this stuff where um, you

1578
01:32:53,240 --> 01:32:56,960
Speaker 1: know that there were there were clear signs of some

1579
01:32:57,080 --> 01:32:59,439
Speaker 1: vendetta against him from some of the women involved, not

1580
01:32:59,479 --> 01:33:02,280
Speaker 1: all of them, but some of them. And this guy

1581
01:33:02,360 --> 01:33:06,439
Speaker 1: loses his scholarship and has his life and his repute,

1582
01:33:06,520 --> 01:33:11,920
Speaker 1: his reputation ruined, his life, you know, altered, to be sure,

1583
01:33:13,200 --> 01:33:18,200
Speaker 1: and we're to think that this is justice somehow, we're

1584
01:33:18,280 --> 01:33:21,200
Speaker 1: told to believe that this is just the way that

1585
01:33:21,200 --> 01:33:25,640
Speaker 1: it's supposed to be. I keep wanting to, uh, you know,

1586
01:33:25,880 --> 01:33:31,479
Speaker 1: raise the fact that false accusations, when you have no

1587
01:33:32,000 --> 01:33:35,960
Speaker 1: right of confront of your accuser, when you have no

1588
01:33:36,360 --> 01:33:38,719
Speaker 1: right of really anything other than just to sit there

1589
01:33:38,760 --> 01:33:43,400
Speaker 1: and let the process play out of false accusations are

1590
01:33:44,439 --> 01:33:48,080
Speaker 1: deeply damaging, very very troubling. And I can't help but

1591
01:33:48,200 --> 01:33:52,240
Speaker 1: think that there's no consequences people that level false accusations

1592
01:33:52,240 --> 01:33:56,640
Speaker 1: in these cases. And this is something that happens. This

1593
01:33:56,760 --> 01:33:59,200
Speaker 1: is something that when when you look into what goes

1594
01:33:59,280 --> 01:34:03,160
Speaker 1: on here, Uh, there are these cases where women to

1595
01:34:03,240 --> 01:34:07,240
Speaker 1: get even with a guy or too uh in some

1596
01:34:07,320 --> 01:34:12,160
Speaker 1: way make a point, will level a false accusation, and

1597
01:34:13,560 --> 01:34:16,800
Speaker 1: it's just there's no consequences. I don't know. I thought

1598
01:34:16,800 --> 01:34:22,240
Speaker 1: that this case was particularly um, particularly horrifying. I mean

1599
01:34:22,600 --> 01:34:25,880
Speaker 1: this guy. You know, people are saying that one of

1600
01:34:25,880 --> 01:34:30,439
Speaker 1: the women just straight up uh, straight up light um,

1601
01:34:30,520 --> 01:34:32,439
Speaker 1: and here's what this guy said. For the first first

1602
01:34:32,439 --> 01:34:34,920
Speaker 1: few weeks of this investigation, I cried myself to sleep

1603
01:34:34,960 --> 01:34:37,600
Speaker 1: every night. I woke up every morning with emotions and

1604
01:34:37,600 --> 01:34:40,320
Speaker 1: frustrations that I've never felt before. Some of you have

1605
01:34:40,360 --> 01:34:42,959
Speaker 1: seen me doing photography and think I'm concerned with the situation,

1606
01:34:43,280 --> 01:34:45,920
Speaker 1: unconcerned with the situation, But you couldn't be more wrong.

1607
01:34:46,000 --> 01:34:47,760
Speaker 1: I've been doing it recently because I have all the

1608
01:34:47,760 --> 01:34:49,720
Speaker 1: free time in the world now and it's a way

1609
01:34:49,760 --> 01:34:52,080
Speaker 1: to keep my mind fresh and busy while I cooperated

1610
01:34:52,080 --> 01:34:54,960
Speaker 1: with the investigative process. To say I am hurt by

1611
01:34:55,000 --> 01:34:59,960
Speaker 1: what was said about me uh is an understatement. I've

1612
01:35:00,080 --> 01:35:02,320
Speaker 1: lost people who are once called friends I see now

1613
01:35:02,360 --> 01:35:08,479
Speaker 1: they never were. I've lost fans, and you know, it's

1614
01:35:08,520 --> 01:35:11,800
Speaker 1: bits just the whole case, just it's sad, and this

1615
01:35:11,840 --> 01:35:15,960
Speaker 1: guy's life is rumor and by a Title nine investigation

1616
01:35:16,479 --> 01:35:21,960
Speaker 1: with no due process, not a criminal complaint. Folks, University

1617
01:35:22,000 --> 01:35:26,479
Speaker 1: doing this not something they're equipped to do. The Obama

1618
01:35:26,479 --> 01:35:28,799
Speaker 1: administration pushed them to do this kind of stuff. Anyway,

1619
01:35:29,880 --> 01:35:31,519
Speaker 1: I'm gonna follow up on this one later in the week.

1620
01:35:31,560 --> 01:35:46,479
Speaker 1: Stay with me. He's holding the line for America Buck

1621
01:35:46,520 --> 01:35:55,360
Speaker 1: sext in his back. Well, it was only a matter

1622
01:35:55,400 --> 01:35:59,880
Speaker 1: of time, folks, before we started looking at state and

1623
01:36:00,200 --> 01:36:04,600
Speaker 1: city names for getting a name change because of a

1624
01:36:04,840 --> 01:36:10,120
Speaker 1: history or or connections historically to slavery or two other

1625
01:36:11,200 --> 01:36:16,280
Speaker 1: politically well, either either morally reprehensible or politically incorrect, depending

1626
01:36:16,320 --> 01:36:21,720
Speaker 1: on the subject matter topics. But in the case of Austin, Texas,

1627
01:36:21,840 --> 01:36:25,880
Speaker 1: now the case of Austin, Texas, we do, in fact

1628
01:36:26,640 --> 01:36:31,760
Speaker 1: have a a case being made by some that the

1629
01:36:31,800 --> 01:36:35,240
Speaker 1: city of Austin is gonna have to change its name. Folksy,

1630
01:36:35,640 --> 01:36:37,559
Speaker 1: this is perfect because you know, I'm I'm gonna come

1631
01:36:37,560 --> 01:36:40,680
Speaker 1: down to Austin this year. I'm looking forward to what

1632
01:36:40,720 --> 01:36:42,320
Speaker 1: I'm looking forward to seeing all the folks that kale

1633
01:36:42,640 --> 01:36:45,160
Speaker 1: k lb J Austin and and we're gonna pick a

1634
01:36:45,160 --> 01:36:47,120
Speaker 1: great barbecue joint role. It's gonna hang out, have a

1635
01:36:47,120 --> 01:36:49,559
Speaker 1: little have a little Team Buck party down in Austin,

1636
01:36:49,760 --> 01:36:54,920
Speaker 1: t X TJAS. But this is just too much. I mean,

1637
01:36:55,200 --> 01:36:58,599
Speaker 1: so here here's the thing. I'm not gonna site here

1638
01:36:58,640 --> 01:37:01,760
Speaker 1: and ever say that there's no case we made, because

1639
01:37:01,760 --> 01:37:04,120
Speaker 1: anytime somebody has any connection to slavery, you can say, well,

1640
01:37:04,160 --> 01:37:07,520
Speaker 1: you know, they that's a that's a true, truly reprehensible

1641
01:37:07,520 --> 01:37:12,040
Speaker 1: and moral failing. And even its historical context, people knew

1642
01:37:12,080 --> 01:37:13,560
Speaker 1: that it was There were people who knew that it

1643
01:37:13,600 --> 01:37:14,920
Speaker 1: was right. There people who knew that it was wrong.

1644
01:37:15,280 --> 01:37:18,240
Speaker 1: But Stephen F. Austin, who is considered the father of Texas,

1645
01:37:19,320 --> 01:37:21,679
Speaker 1: was opposed to banning slavery when Texas was a part

1646
01:37:21,720 --> 01:37:24,280
Speaker 1: of Mexico, which I'm sure the Texans listened to this,

1647
01:37:24,320 --> 01:37:26,960
Speaker 1: Remember a lot of other people don't. Texas a part

1648
01:37:27,000 --> 01:37:29,800
Speaker 1: of Mexico two hundred years ago. Mexican government needed money,

1649
01:37:29,800 --> 01:37:33,400
Speaker 1: so they let American settlers come into the Texas territory

1650
01:37:33,560 --> 01:37:36,920
Speaker 1: and then the Texans fought, the Mexicans won their independence,

1651
01:37:36,960 --> 01:37:40,320
Speaker 1: were the Republic of Texas for a while, and then

1652
01:37:40,360 --> 01:37:42,000
Speaker 1: they're like, yeah, let's join this whole union thing that

1653
01:37:42,080 --> 01:37:46,639
Speaker 1: got going on in America that became part of America.

1654
01:37:46,840 --> 01:37:50,240
Speaker 1: Uh So this is now something that may, in fact,

1655
01:37:51,320 --> 01:37:54,439
Speaker 1: ah may in fact get a bit more attraction. We'll

1656
01:37:54,439 --> 01:37:57,320
Speaker 1: see if they changed the name of Austin, Texas. But

1657
01:37:57,360 --> 01:38:00,320
Speaker 1: I just want to point out which I oh, it's

1658
01:38:00,320 --> 01:38:02,360
Speaker 1: like the liberal enclave of Texas now too. But I

1659
01:38:02,439 --> 01:38:04,719
Speaker 1: want to point out that if you change Austin, Texas,

1660
01:38:04,920 --> 01:38:07,840
Speaker 1: what do you do about Washington, d C. Where I

1661
01:38:07,880 --> 01:38:13,120
Speaker 1: am right now, George Washington own slaves. If if slavery

1662
01:38:13,400 --> 01:38:17,400
Speaker 1: is going to be a historical disqualifier, or rather a

1663
01:38:17,680 --> 01:38:24,439
Speaker 1: disqualifier in the present because of its historical wrong, why well,

1664
01:38:24,439 --> 01:38:26,920
Speaker 1: what are the outer limits of that? And I really

1665
01:38:26,960 --> 01:38:30,160
Speaker 1: asked that question in all seriousness. We're gonna change Washington,

1666
01:38:30,479 --> 01:38:33,200
Speaker 1: what then becomes our shared heritage is the only heritage

1667
01:38:33,240 --> 01:38:37,439
Speaker 1: that we can celebrate in this country. Uh you know,

1668
01:38:37,479 --> 01:38:40,000
Speaker 1: in terms of the founding fathers, who who do we

1669
01:38:40,040 --> 01:38:42,320
Speaker 1: get to say? Is okay? Still? I guess John Adams,

1670
01:38:43,000 --> 01:38:46,040
Speaker 1: Now there'll be a few, isn't interesting? Adams is just

1671
01:38:46,200 --> 01:38:49,080
Speaker 1: way less a part of our consciousness when it comes

1672
01:38:49,080 --> 01:38:51,760
Speaker 1: to the American founding than say, Jefferson is you know,

1673
01:38:51,760 --> 01:38:54,280
Speaker 1: people think of Adams. Look, Washington is numerous, you know,

1674
01:38:54,360 --> 01:38:57,479
Speaker 1: but then it's really Washington then Jefferson. You know, Adams

1675
01:38:57,560 --> 01:38:59,320
Speaker 1: is even though that he was the second president, is

1676
01:38:59,320 --> 01:39:03,160
Speaker 1: not thought of as quite as Uh well, I guess

1677
01:39:03,160 --> 01:39:05,640
Speaker 1: we could debate that another topic quite as important to

1678
01:39:05,640 --> 01:39:07,960
Speaker 1: figure as some of these others. I even think people

1679
01:39:08,000 --> 01:39:11,240
Speaker 1: put Ben Franklin ahead of Adams was I really do um.

1680
01:39:11,320 --> 01:39:14,559
Speaker 1: But Austin is thinking about changing its name. I don't

1681
01:39:14,600 --> 01:39:18,880
Speaker 1: think that that's going to happen, but it's definitely gonna

1682
01:39:18,920 --> 01:39:21,640
Speaker 1: be a topic of discussion. As I've said to the

1683
01:39:21,720 --> 01:39:25,280
Speaker 1: Boston has to change its name. You've got Washington, DC

1684
01:39:25,439 --> 01:39:27,479
Speaker 1: would have to change its name. Think of all the

1685
01:39:27,560 --> 01:39:31,840
Speaker 1: Jefferson County and Jefferson Parish and Jefferson all the things

1686
01:39:31,920 --> 01:39:34,360
Speaker 1: named Jefferson across the country that I'm assuming or tied

1687
01:39:34,400 --> 01:39:38,720
Speaker 1: to or named for Thomas Jefferson. Uh and and once

1688
01:39:38,760 --> 01:39:42,360
Speaker 1: you start expanding this out, think of all the cost

1689
01:39:42,600 --> 01:39:46,000
Speaker 1: and the difficulty here associated with this. That the the

1690
01:39:46,120 --> 01:39:48,599
Speaker 1: name change is not just gonna be something that people

1691
01:39:49,600 --> 01:39:52,280
Speaker 1: are able to do with, you know, this would be

1692
01:39:52,320 --> 01:39:55,360
Speaker 1: a thing you don't have to change all the signs

1693
01:39:55,560 --> 01:39:57,519
Speaker 1: you have to you know, And and at some point

1694
01:39:57,520 --> 01:40:00,960
Speaker 1: we have to say, okay, well when is when is

1695
01:40:01,040 --> 01:40:04,800
Speaker 1: the the actual cost too much of this, you know,

1696
01:40:05,160 --> 01:40:10,800
Speaker 1: monument changing, slash, city name changing, slash, you know, college

1697
01:40:11,040 --> 01:40:13,479
Speaker 1: name changing. I'm still waiting for you. I'm telling you,

1698
01:40:13,560 --> 01:40:15,960
Speaker 1: Yale is never gonna change its name because people go

1699
01:40:16,040 --> 01:40:19,160
Speaker 1: to Yale because it's called Yale, and Yale University, as

1700
01:40:19,200 --> 01:40:22,160
Speaker 1: liberal and elite as it is, doesn't care that Allie

1701
01:40:22,160 --> 01:40:25,120
Speaker 1: who Yale was a slave trader. They're gonna they're gonna

1702
01:40:25,160 --> 01:40:27,760
Speaker 1: hold onto that name and come hell or high water,

1703
01:40:27,880 --> 01:40:30,760
Speaker 1: they're not gonna change the thing. So we'll see if

1704
01:40:30,800 --> 01:40:34,000
Speaker 1: if the uh, well, the Austin City Council is already

1705
01:40:34,040 --> 01:40:37,200
Speaker 1: renamed streets that were named after Roberty Lee and Jefferson Davis.

1706
01:40:37,200 --> 01:40:40,040
Speaker 1: So the Confederacy you got, you know, people that are

1707
01:40:40,880 --> 01:40:43,240
Speaker 1: tied to the Confederacy. Austin has already gotten rid of them.

1708
01:40:43,240 --> 01:40:47,639
Speaker 1: They're already raising them from public landmarks and other places.

1709
01:40:47,680 --> 01:40:51,400
Speaker 1: But are they gonna change the name of the city.

1710
01:40:51,640 --> 01:40:53,840
Speaker 1: We'll see, folks, my Austin peeps, you can weigh in

1711
01:40:53,920 --> 01:40:56,800
Speaker 1: Facebook dot com, slash buck sexton. But by the way,

1712
01:40:56,840 --> 01:40:59,040
Speaker 1: way before we go, actually, I've got here that the

1713
01:40:59,040 --> 01:41:04,479
Speaker 1: the Cities of Austin, their equity office, is involved in this,

1714
01:41:04,960 --> 01:41:08,160
Speaker 1: and they're saying, to be fair, they're saying that the

1715
01:41:08,200 --> 01:41:13,040
Speaker 1: city's name requires more analysis. They have two lists. One

1716
01:41:13,080 --> 01:41:16,679
Speaker 1: that's like, you gotta change this right away, immediate action

1717
01:41:17,040 --> 01:41:23,120
Speaker 1: like Dixie Drive, Confederate Avenue and Plantation Road. Dixie Drive

1718
01:41:23,600 --> 01:41:26,840
Speaker 1: our Dixie Cups now unacceptable. I just I want to

1719
01:41:26,880 --> 01:41:29,400
Speaker 1: know where the rules are here that does Dixie Cup

1720
01:41:29,439 --> 01:41:31,960
Speaker 1: have to change its name? Is? Is Dixie now the

1721
01:41:32,040 --> 01:41:37,719
Speaker 1: name Dixie racist? I'm I actually don't know. Confederate Avenue,

1722
01:41:37,720 --> 01:41:42,240
Speaker 1: Plantation Road, those all have to go. But Austin, according

1723
01:41:42,280 --> 01:41:46,160
Speaker 1: to the Equity Office, which was created in to evaluate

1724
01:41:46,200 --> 01:41:49,200
Speaker 1: issues of racial equity, says that the name of the

1725
01:41:49,320 --> 01:41:53,519
Speaker 1: entire city itself that needs more study. Okay, so so

1726
01:41:53,600 --> 01:41:55,560
Speaker 1: there's some additional detail. We'll be right back with the

1727
01:41:55,640 --> 01:42:11,479
Speaker 1: roll call. Team Buck, it's time for roll call. Well,

1728
01:42:11,560 --> 01:42:14,400
Speaker 1: it's a rainy day down here in d C. This

1729
01:42:14,560 --> 01:42:21,120
Speaker 1: swamp is swampy and wet and muggy and uh, lots

1730
01:42:21,160 --> 01:42:25,760
Speaker 1: of humidity in the air. But I am inspired once

1731
01:42:25,760 --> 01:42:28,040
Speaker 1: again because a roll call, because of all of you,

1732
01:42:28,479 --> 01:42:30,640
Speaker 1: gives me a little boost energy. At the end of

1733
01:42:30,680 --> 01:42:33,439
Speaker 1: the show, if you want your roll call to make

1734
01:42:34,320 --> 01:42:38,599
Speaker 1: make it, uh, go to Facebook dot com slash Buck Sexton.

1735
01:42:39,040 --> 01:42:41,880
Speaker 1: And also, if you want this show to continue to

1736
01:42:41,960 --> 01:42:46,240
Speaker 1: be a success, I need you to tell your friends

1737
01:42:46,320 --> 01:42:49,240
Speaker 1: and family about the Bucks Exton show, show them how

1738
01:42:49,240 --> 01:42:52,040
Speaker 1: to download it, send them a link, tell them about

1739
01:42:52,200 --> 01:42:55,160
Speaker 1: the Freedom of podcast last week we did with a

1740
01:42:55,240 --> 01:42:58,840
Speaker 1: Jesse and Sean and we're working on the audio quality.

1741
01:42:58,880 --> 01:43:00,559
Speaker 1: I know, guys, I know is a first time out

1742
01:43:00,600 --> 01:43:02,599
Speaker 1: with that stuff. We have a lot of fun with that.

1743
01:43:02,640 --> 01:43:04,200
Speaker 1: I can tell you that my gear is now in

1744
01:43:04,240 --> 01:43:08,320
Speaker 1: New York and and darning. I'm committing. I'm committing to it.

1745
01:43:08,400 --> 01:43:11,280
Speaker 1: In the month of August, there will be the next

1746
01:43:11,320 --> 01:43:15,240
Speaker 1: episode of shield Hie. Uh. We don't do enough of

1747
01:43:15,280 --> 01:43:17,920
Speaker 1: them for us to you know, make any money on

1748
01:43:17,960 --> 01:43:19,679
Speaker 1: them or anything yet, so I just do it because

1749
01:43:19,720 --> 01:43:22,960
Speaker 1: I love it. But darn it, Shields High in August,

1750
01:43:23,040 --> 01:43:24,640
Speaker 1: we're gonna have some weeks where there's not a ton

1751
01:43:24,680 --> 01:43:26,920
Speaker 1: of news anyway, so I feel like, let's get into it.

1752
01:43:27,360 --> 01:43:29,599
Speaker 1: That's I'm committing right now to doing a Shields tie

1753
01:43:29,800 --> 01:43:32,439
Speaker 1: in August and we'll put it out and there you

1754
01:43:32,479 --> 01:43:34,120
Speaker 1: have it. But please do check out the Freedom Hut

1755
01:43:34,120 --> 01:43:38,040
Speaker 1: podcast from last week. And uh, I'm I'm actually taking

1756
01:43:38,280 --> 01:43:41,080
Speaker 1: I'm taking suggestions for who you think would be a

1757
01:43:41,080 --> 01:43:44,280
Speaker 1: fun guest for this week. Now, with all that, let's

1758
01:43:44,280 --> 01:43:48,280
Speaker 1: get into it. Uh, no, uh, this is again in

1759
01:43:48,400 --> 01:43:53,480
Speaker 1: roll call Facebook dot com slash buck Sexton. Noah Rights, Hey, Facebook,

1760
01:43:54,240 --> 01:43:56,479
Speaker 1: Uh might not be the best way to contact you

1761
01:43:56,520 --> 01:44:00,240
Speaker 1: about this, but I couldn't seem to find it better way.

1762
01:44:00,360 --> 01:44:01,920
Speaker 1: On one of your shows you mentioned would be funny

1763
01:44:01,920 --> 01:44:04,400
Speaker 1: to get some interns for the Buck Sexton Show. I

1764
01:44:04,520 --> 01:44:06,080
Speaker 1: just want to throw my hat in the ring early

1765
01:44:06,160 --> 01:44:09,479
Speaker 1: and express my interest. If an internship opportunity ever does

1766
01:44:09,560 --> 01:44:11,040
Speaker 1: come to Fruition, I would love to know where I

1767
01:44:11,040 --> 01:44:13,960
Speaker 1: can find out more information about that. Thank you, Shields High. Well, no,

1768
01:44:14,120 --> 01:44:16,479
Speaker 1: you're very kind, my man, and I can't tell you

1769
01:44:16,600 --> 01:44:19,160
Speaker 1: right now you are top of the intern list, but

1770
01:44:19,520 --> 01:44:21,360
Speaker 1: we don't take interns yet because I don't even know

1771
01:44:21,400 --> 01:44:22,439
Speaker 1: how he would do that. I don't know if they

1772
01:44:22,520 --> 01:44:23,960
Speaker 1: have to come to the swamp here in d C.

1773
01:44:24,240 --> 01:44:26,559
Speaker 1: Or if they have to go to New York. But Noah,

1774
01:44:26,640 --> 01:44:29,280
Speaker 1: we will file this away. And I really appreciate your

1775
01:44:29,280 --> 01:44:32,680
Speaker 1: interest and support what we're doing here. And just make

1776
01:44:32,680 --> 01:44:34,439
Speaker 1: sure if you're gonna be an intern somewhere, they actually

1777
01:44:34,479 --> 01:44:36,840
Speaker 1: give you real stuff to do. I did some internships

1778
01:44:36,840 --> 01:44:41,240
Speaker 1: that were worthwhile and some that were complete, complete crap

1779
01:44:41,280 --> 01:44:44,400
Speaker 1: lousy fests. I mean it was not not worth anyone's time,

1780
01:44:44,439 --> 01:44:46,400
Speaker 1: including the people around me who were supposed to be

1781
01:44:46,439 --> 01:44:49,600
Speaker 1: making it worth my time. Wasted everybody's time. But I

1782
01:44:49,640 --> 01:44:52,880
Speaker 1: wouldn't have that. I would have interns doing cool stuff

1783
01:44:52,880 --> 01:44:57,680
Speaker 1: for me. Next up here is Charles. Uh. Seriously, if

1784
01:44:57,720 --> 01:45:03,040
Speaker 1: this was Omama doing just half stuff, Uh, you would

1785
01:45:03,040 --> 01:45:05,880
Speaker 1: be screaming for his head. I know you are a

1786
01:45:05,960 --> 01:45:09,160
Speaker 1: partisan liar if you don't admit it which you want.

1787
01:45:09,400 --> 01:45:11,160
Speaker 1: I'm actually reading this as he wrote it. Guys, I

1788
01:45:11,200 --> 01:45:14,400
Speaker 1: know you are you too spelled t o or a

1789
01:45:14,439 --> 01:45:16,880
Speaker 1: partisan liar if you don't admit it which you want?

1790
01:45:17,240 --> 01:45:22,439
Speaker 1: Conservative ha ha ha where not in fiscal responsibility period,

1791
01:45:23,120 --> 01:45:27,000
Speaker 1: not in truth or justice period? Give me a break period.

1792
01:45:28,120 --> 01:45:31,920
Speaker 1: Um oh yeah, I'm one of those independents you don't

1793
01:45:31,920 --> 01:45:35,160
Speaker 1: care about that will never vote for the GOP. From

1794
01:45:35,240 --> 01:45:43,840
Speaker 1: Charles Charles, um m m, fair enough. I thought we

1795
01:45:43,960 --> 01:45:45,800
Speaker 1: just go with that, all right, Charles had to say

1796
01:45:45,800 --> 01:45:48,679
Speaker 1: on the show. There you go, buddy, It's actually not true.

1797
01:45:48,680 --> 01:45:50,839
Speaker 1: I don't care of independence, and I really get excited

1798
01:45:50,840 --> 01:45:52,719
Speaker 1: when I hear from liberals who listened to the show,

1799
01:45:52,760 --> 01:45:57,439
Speaker 1: and um, I'm and look, I present it all as

1800
01:45:57,479 --> 01:45:59,639
Speaker 1: I see it and I'm honest about what I think

1801
01:45:59,640 --> 01:46:02,160
Speaker 1: and how I view things, and I tell you when

1802
01:46:02,160 --> 01:46:03,479
Speaker 1: I'm not sure. I'll tell you when I think I

1803
01:46:03,560 --> 01:46:06,920
Speaker 1: might be wrong about something. And I hope that independence

1804
01:46:07,000 --> 01:46:09,920
Speaker 1: recognized that, unlike a lot of the TV news anchors

1805
01:46:09,960 --> 01:46:12,840
Speaker 1: that they get information from, I actually know stuff and

1806
01:46:12,920 --> 01:46:17,280
Speaker 1: learn stuff and have things to say. Uh So, yeah,

1807
01:46:17,439 --> 01:46:19,120
Speaker 1: that was just kind of a swipe at CNN in

1808
01:46:19,160 --> 01:46:22,240
Speaker 1: case you didn't know. But yeah, well, Charles, thanks for

1809
01:46:22,280 --> 01:46:24,559
Speaker 1: reaching out, buddy. And I do get I do give

1810
01:46:24,600 --> 01:46:27,040
Speaker 1: a crap, Charles, I do so on that. I gotta

1811
01:46:27,080 --> 01:46:30,400
Speaker 1: tell you you're wrong, all right. Uh here we get

1812
01:46:30,439 --> 01:46:33,320
Speaker 1: back into some some nice team buck Aaron Rights. Love

1813
01:46:33,400 --> 01:46:37,040
Speaker 1: your show. I especially enjoyed your Freedom Hunt episode last week.

1814
01:46:37,120 --> 01:46:40,240
Speaker 1: It was hilarious. I didn't realize that Sean Parnell lives

1815
01:46:40,240 --> 01:46:43,200
Speaker 1: in western Pennsylvania. I live about ten miles south of him.

1816
01:46:43,680 --> 01:46:45,519
Speaker 1: Be honored to take him out for a beer too.

1817
01:46:45,560 --> 01:46:48,760
Speaker 1: Please pass along. Also, I believe you're still trying to

1818
01:46:48,800 --> 01:46:50,760
Speaker 1: figure out the buck gear that you sell on your site.

1819
01:46:50,760 --> 01:46:53,280
Speaker 1: Can I ask you to consider partnering with the Operation

1820
01:46:53,439 --> 01:46:58,360
Speaker 1: Hat Trick program twelve of every brand that item that

1821
01:46:58,400 --> 01:47:01,320
Speaker 1: you buy to sell on your side goes to wounded veterans.

1822
01:47:01,800 --> 01:47:04,559
Speaker 1: Our company helps start this program. Procis me six years ago.

1823
01:47:04,560 --> 01:47:07,439
Speaker 1: We've raised a million dollars. Doesn't cost you any participate

1824
01:47:07,439 --> 01:47:09,959
Speaker 1: you just you just buy a product from specific companies.

1825
01:47:10,800 --> 01:47:13,439
Speaker 1: The company wouldn't even make any money off this. Thank

1826
01:47:13,439 --> 01:47:14,720
Speaker 1: you for all you do, Aaron. That sounds like a

1827
01:47:14,800 --> 01:47:19,200
Speaker 1: great idea. So please uh in the Facebook here is

1828
01:47:19,240 --> 01:47:21,280
Speaker 1: give me an email where I can best contact you.

1829
01:47:21,920 --> 01:47:24,040
Speaker 1: I'm actually writing right now just in shorthand. Please give

1830
01:47:24,080 --> 01:47:28,599
Speaker 1: me an email to contact um. See this is this

1831
01:47:28,640 --> 01:47:30,360
Speaker 1: is in real time, folks. So I got a type

1832
01:47:30,360 --> 01:47:33,719
Speaker 1: it on on a nationally snick a radio show because

1833
01:47:33,760 --> 01:47:38,120
Speaker 1: that sounds really interesting. Actually, Sandy right, someone I don't

1834
01:47:38,120 --> 01:47:42,320
Speaker 1: know responded to my post was interested in Muslim history.

1835
01:47:42,680 --> 01:47:45,320
Speaker 1: I shared some along with linked to Shields High and

1836
01:47:45,360 --> 01:47:47,679
Speaker 1: your show also shared in public. I love it and

1837
01:47:47,760 --> 01:47:50,639
Speaker 1: you from Sandy Well, Sandy, you are very very kind.

1838
01:47:50,720 --> 01:47:55,080
Speaker 1: Thank you so much. Appreciate it. Aaron writes, Hey, Buck,

1839
01:47:55,120 --> 01:47:57,680
Speaker 1: the top headline today is for Bernie Sanders Medicare for

1840
01:47:57,720 --> 01:48:00,200
Speaker 1: All Bill. I'm in the military and I have tri

1841
01:48:00,400 --> 01:48:03,120
Speaker 1: care which covers almost everything at no cost to me.

1842
01:48:04,040 --> 01:48:06,360
Speaker 1: Can you explain why the entire us couldn't have something

1843
01:48:06,400 --> 01:48:08,960
Speaker 1: similar to tri care, which sounds similar to what they

1844
01:48:08,960 --> 01:48:11,679
Speaker 1: are proposing. What would have cost every person in tax

1845
01:48:11,720 --> 01:48:13,799
Speaker 1: increases to make something like that work? Could a flat

1846
01:48:13,840 --> 01:48:17,040
Speaker 1: tox not cover everyone? Thanks Man Shields high Lar, thank

1847
01:48:17,040 --> 01:48:19,439
Speaker 1: you for your service, and and there your question about

1848
01:48:19,439 --> 01:48:23,439
Speaker 1: tri care is the short version, and the short answer

1849
01:48:23,600 --> 01:48:27,719
Speaker 1: is it would be too expensive that you couldn't cover

1850
01:48:27,840 --> 01:48:32,479
Speaker 1: everybody because it would be too expensive um meaning that

1851
01:48:32,520 --> 01:48:34,800
Speaker 1: you or I should say that you would have to

1852
01:48:35,520 --> 01:48:40,360
Speaker 1: have such massive tax increases that it would be somewhat

1853
01:48:40,439 --> 01:48:44,880
Speaker 1: catastrophic to the greater economy and to the private sector

1854
01:48:44,880 --> 01:48:48,840
Speaker 1: and private industry in order to pay for it. Try

1855
01:48:48,920 --> 01:48:51,040
Speaker 1: care is pricey. I don't know how price you got

1856
01:48:51,080 --> 01:48:53,599
Speaker 1: the top of my head, but I do know also

1857
01:48:53,680 --> 01:48:56,840
Speaker 1: that there there's the problem of incentives, which I've been

1858
01:48:56,840 --> 01:48:59,760
Speaker 1: discussing with you here about health care. If you don't

1859
01:48:59,760 --> 01:49:02,120
Speaker 1: pay for it, you will overuse it. Not you, but

1860
01:49:02,400 --> 01:49:07,479
Speaker 1: one will overuse it. Also take less personal care of

1861
01:49:07,560 --> 01:49:12,240
Speaker 1: one's health. A vast majority of health spending right now

1862
01:49:13,520 --> 01:49:17,200
Speaker 1: goes to elderly care, which covered my Medicare, but then

1863
01:49:17,240 --> 01:49:21,720
Speaker 1: also diseases that are lifestyle related, and people generally do

1864
01:49:21,760 --> 01:49:24,760
Speaker 1: not like to hear about this, but there are diseases

1865
01:49:24,840 --> 01:49:27,439
Speaker 1: that are affected by choices that we are all making,

1866
01:49:27,600 --> 01:49:33,000
Speaker 1: notably heart disease, diabetes ease are not always, but at

1867
01:49:33,040 --> 01:49:38,000
Speaker 1: least in part, reflections of what we are doing to ourselves,

1868
01:49:38,000 --> 01:49:42,160
Speaker 1: the choices we are making about activity level, what we're eating,

1869
01:49:42,439 --> 01:49:45,880
Speaker 1: just general health and lifestyle choices. And if you are

1870
01:49:45,920 --> 01:49:50,479
Speaker 1: not incentivized for medical reasons, for reasons of cost, to

1871
01:49:50,560 --> 01:49:53,360
Speaker 1: change some of those behaviors, that in the aggregate across

1872
01:49:53,400 --> 01:49:55,280
Speaker 1: the American economy is gonna have a problem. Gonna be

1873
01:49:55,320 --> 01:49:57,840
Speaker 1: a problem because you're gonna be paying for other people's

1874
01:49:57,800 --> 01:49:59,439
Speaker 1: stuff and they're gonna paying for your stuff, and that's

1875
01:49:59,479 --> 01:50:02,639
Speaker 1: not the way it's is to be. Um. But Aaron,

1876
01:50:03,280 --> 01:50:05,000
Speaker 1: I don't know enough about try cure to get the

1877
01:50:05,000 --> 01:50:07,679
Speaker 1: specifics of it. But I just I know that if

1878
01:50:07,720 --> 01:50:09,760
Speaker 1: if the government's going to cover all of your health

1879
01:50:09,760 --> 01:50:14,200
Speaker 1: care bills, you are going to go, uh, the country

1880
01:50:14,320 --> 01:50:17,559
Speaker 1: is gonna have to have taxes at least double So

1881
01:50:17,560 --> 01:50:20,160
Speaker 1: whatever you're paying now in taxes, imagine twice that much.

1882
01:50:20,800 --> 01:50:22,439
Speaker 1: And even then I'm not sure it would be enough.

1883
01:50:24,439 --> 01:50:28,719
Speaker 1: Michael writes the definition of a cluster the Buxter Parnell

1884
01:50:28,880 --> 01:50:31,320
Speaker 1: and Jesse Kelly trying to do a podcast over Skype.

1885
01:50:31,320 --> 01:50:34,439
Speaker 1: You know, Michael, we're just you know, Michael always is.

1886
01:50:34,479 --> 01:50:35,840
Speaker 1: He's always there to make sure I don't get too

1887
01:50:35,880 --> 01:50:38,120
Speaker 1: big for my bridges and then to make fun of

1888
01:50:38,120 --> 01:50:40,240
Speaker 1: me for being in Manhattan. I who says things like bridges.

1889
01:50:41,000 --> 01:50:43,519
Speaker 1: But you know where we're We're trying to experiment a

1890
01:50:43,560 --> 01:50:45,639
Speaker 1: little bit here. The Freedom Hunt is my my area

1891
01:50:45,680 --> 01:50:47,880
Speaker 1: to That's where a little baby buck gets to sore,

1892
01:50:48,200 --> 01:50:49,680
Speaker 1: gets to just jump out of the nest and just

1893
01:50:49,720 --> 01:50:53,160
Speaker 1: spread his wings and sore. I don't know why I

1894
01:50:53,160 --> 01:50:56,599
Speaker 1: got all theatrical there, but that's what ends up happening. Uh,

1895
01:50:56,720 --> 01:51:01,720
Speaker 1: Seth road in, Hey Buck, It's all in the reflexes.

1896
01:51:02,160 --> 01:51:07,680
Speaker 1: Thank you, Seth, very kind of you, much much appreciated.

1897
01:51:08,160 --> 01:51:14,120
Speaker 1: Um william writes, hold on a second. One of these days,

1898
01:51:14,120 --> 01:51:18,120
Speaker 1: I'll change your mind about tae kwondo. We have show kicks,

1899
01:51:18,160 --> 01:51:22,400
Speaker 1: then we have counter aggression skills. Never do a spin jump,

1900
01:51:22,520 --> 01:51:25,840
Speaker 1: high kick in a street fight, knees, elbows wrestling and

1901
01:51:25,880 --> 01:51:29,000
Speaker 1: punches in a real fight. Fancy show kicks are only

1902
01:51:29,080 --> 01:51:32,360
Speaker 1: for tournaments, but in UFC, I've seen plenty of folks

1903
01:51:32,400 --> 01:51:35,519
Speaker 1: knocked out by a high kick, a rear naked choke. WHOA,

1904
01:51:35,640 --> 01:51:38,519
Speaker 1: what's that? I never heard a rear naked choke before,

1905
01:51:38,840 --> 01:51:43,519
Speaker 1: and several hundred left jabs. Taekwondo is just another tool

1906
01:51:43,520 --> 01:51:45,719
Speaker 1: in the toolbox, now, William. I look, I know that's true.

1907
01:51:45,760 --> 01:51:48,040
Speaker 1: And remember most of my not my knowledge of martial

1908
01:51:48,120 --> 01:51:50,720
Speaker 1: arts comes primarily from watching martial arts movies as a kid.

1909
01:51:51,400 --> 01:51:53,840
Speaker 1: So I am not a practitioner. I'm not. I've had

1910
01:51:54,439 --> 01:51:58,080
Speaker 1: dilettent level exposure to a number of different martial arts,

1911
01:51:58,080 --> 01:52:02,800
Speaker 1: but nothing, nothing sobstantial. But I read a lot about

1912
01:52:02,800 --> 01:52:05,640
Speaker 1: things and analyze them, and I also just like to

1913
01:52:05,640 --> 01:52:07,960
Speaker 1: talk about martial arts movies. So that's that's how we

1914
01:52:08,000 --> 01:52:12,000
Speaker 1: got to this point in things. Uh So, Yeah, like

1915
01:52:12,040 --> 01:52:13,400
Speaker 1: I said, if you have any thoughts for what we

1916
01:52:13,400 --> 01:52:16,920
Speaker 1: should do for the Freedom Hut podcast, let's uh let

1917
01:52:16,960 --> 01:52:18,680
Speaker 1: buck know. I don't know why I just went third

1918
01:52:18,760 --> 01:52:21,439
Speaker 1: person there. It's being a little weird today. I'm gonna

1919
01:52:21,479 --> 01:52:25,320
Speaker 1: lie it being a little weird. But also please do

1920
01:52:25,439 --> 01:52:27,519
Speaker 1: check out our sponsors folks. Where we be heading into

1921
01:52:27,560 --> 01:52:30,200
Speaker 1: the the end of the end of the year. Here

1922
01:52:30,240 --> 01:52:31,920
Speaker 1: we want to finish out. I guess it's a little

1923
01:52:31,960 --> 01:52:33,720
Speaker 1: early to say that, but it's almost August. We want

1924
01:52:33,720 --> 01:52:37,000
Speaker 1: to finish out real strong, So please do checkout sponsors

1925
01:52:37,040 --> 01:52:40,120
Speaker 1: you've heard about throughout the show. Spread the podcast to

1926
01:52:40,160 --> 01:52:41,800
Speaker 1: a friend of your is a very very helpful thing

1927
01:52:41,800 --> 01:52:44,560
Speaker 1: for you to do. And uh yeah, let us know

1928
01:52:44,640 --> 01:52:47,120
Speaker 1: your thoughts. Facebook dot com, slash buck Sexton. The buck

1929
01:52:47,160 --> 01:52:51,040
Speaker 1: Sexton dot com website relaunch is imminent, not quite not

1930
01:52:51,160 --> 01:52:53,400
Speaker 1: quite there yet, but soon we'll be very soon. So

1931
01:52:53,439 --> 01:52:58,200
Speaker 1: that's exciting stuff. Until tomorrow. From the DC Swamp Shields High,

1932
01:53:00,200 --> 01:53:02,759
Speaker 1: it's been quite a day. I got Black Rifle coffee

1933
01:53:02,800 --> 01:53:04,840
Speaker 1: in my hand right now because it's gonna help me

1934
01:53:04,880 --> 01:53:07,040
Speaker 1: push through the rest of the day. It's gonna keep

1935
01:53:07,040 --> 01:53:10,040
Speaker 1: me fired up and on task and in the fight.

1936
01:53:10,400 --> 01:53:12,920
Speaker 1: And if you've ever found yourself wincing at the weak

1937
01:53:13,040 --> 01:53:16,360
Speaker 1: taste of coffee from one of those comic corporations out there,

1938
01:53:16,560 --> 01:53:18,880
Speaker 1: you probably thought, I wish they spent less time on

1939
01:53:18,960 --> 01:53:22,320
Speaker 1: meaningful bias training, bathroom policy, your form, and other things

1940
01:53:22,320 --> 01:53:25,080
Speaker 1: that defied common sense, and more time on their coffee.

1941
01:53:25,439 --> 01:53:27,880
Speaker 1: That's why you need black Rifle. That's why I have

1942
01:53:27,960 --> 01:53:29,960
Speaker 1: black Rifle as I speak to you in my hand.

1943
01:53:30,080 --> 01:53:32,080
Speaker 1: Right now. In fact, I almost want to just slurk

1944
01:53:32,120 --> 01:53:38,599
Speaker 1: a little uh delicious, absolutely delicious. Visit Black Rifle Coffee

1945
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Speaker 1: dot com slash buck and receive fifteen percent off your order.

1946
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Speaker 1: That's Black Rifle Coffee dot com slash buck for fifteen

1947
01:53:45,479 --> 01:53:47,639
Speaker 1: percent off, Folks. I hope all of you will make

1948
01:53:47,640 --> 01:53:50,160
Speaker 1: Black Rifle your coffee of choice. I'm actually bringing it

1949
01:53:50,200 --> 01:53:52,120
Speaker 1: into the office these days. I'm converting all of the

1950
01:53:52,200 --> 01:53:55,120
Speaker 1: Hill to Black Rifle coffee. Join the coffee or Die

1951
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Speaker 1: revolution at Black Rifle Coffee dot com, slash buck for

1952
01:53:59,040 --> 01:53:59,960
Speaker 1: fifteen percent off