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Speaker 1: Mr garbutsch Off teared down this wall. Either you're with

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Speaker 1: us or you were with the terrorists. If you got

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Speaker 1: healthcare already, then you can keep your plan. If you're

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Speaker 1: satisfied with Trump is not When the President of the

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Speaker 1: United States take it to a bank. Together, we will

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Speaker 1: make America great again. Shard. It's what you've been waiting

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Speaker 1: for all day The Buck Sexton Show. Join the conversation

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Speaker 1: called Buck Toll free at eight four four nine hundred Buck.

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Speaker 1: That's eight four four nine hundred to eight to five

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Speaker 1: the future of talk radio, Buck Sexton. Look, I think

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Speaker 1: it's possible to be in the three to four percent

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Speaker 1: growth zone the last three quarters, which is really that

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Speaker 1: you know Trump first year in office, the last three

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Speaker 1: quarters we've picked up from under two to three point

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Speaker 1: one at an annual rate. Now three quarters is not

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Speaker 1: a lifetime, I get that, but it's a good start.

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Speaker 1: And as I'm sure you know, you can look at

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Speaker 1: the I S M numbers that came out this week.

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Speaker 1: They're booming. Confidence is booming both business and consumers. All

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Speaker 1: that looks good. Welcome to the Buck Sex and show

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Speaker 1: everyone the economy. The economy is doing quite well and

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Speaker 1: today is going to be a little bit of an

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Speaker 1: exercise in what matters to you versus what they want

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Speaker 1: to tell you. That we had Larry Kudlow saying that

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Speaker 1: he thinks that we could be in for some really

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Speaker 1: excellent growth. And let me just also say that many

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Speaker 1: of the numbers that under a different dare I say,

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Speaker 1: Democrat administration, that would be used as exhibit a of

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Speaker 1: look at how good things are right now, look at

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Speaker 1: how everything is going in this country. Those numbers are

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Speaker 1: probably and this is not a criticism for any of

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Speaker 1: you listening or anyone you know, but those numbers aren't

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Speaker 1: top of mind. And that's has nothing to do with

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Speaker 1: you or me. It has to do with what the

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Speaker 1: focus of the media narrative is day in day out.

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Speaker 1: I have to tell you, I confess that for a moment,

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Speaker 1: I have to think, what is the unemployment rate? Right now? Four?

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Speaker 1: By the way, I have to actually but I go, wait, wait,

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Speaker 1: what is it again? Shouldn't that be something that someone

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Speaker 1: like me reads about politics all day all the time.

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Speaker 1: That shouldn't be hard, right, I should know right away?

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Speaker 1: Under the Obama administration, we were always fed these numbers

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Speaker 1: and told things like he saved us from the Great

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Speaker 1: Depression saved us from the Great Depression. That was the line.

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Speaker 1: It was hammered home. You think yourself, how exactly did

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Speaker 1: he do that? The Bush administration put in trouble, put

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Speaker 1: in place the Troubled Asset Relief Program TARP. They were

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Speaker 1: the ones that shoul it up the banks. Obama just

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Speaker 1: came in and was like, yeah, let's spend a trillion

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Speaker 1: dollars on stuff. Democrats like a lot of which just

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Speaker 1: kind of went into who knows where. Certainly didn't seem

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Speaker 1: like a good way to spend a trillion dollars. And

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Speaker 1: the economic data on federal stimulus as a form of

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Speaker 1: helping the economy is actually to call it mix is

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Speaker 1: probably too generous. It's actually historically something that does not work.

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Speaker 1: It's a bad idea. But here we could be having

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Speaker 1: discussions in the country about what well, first of all,

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Speaker 1: how things are going well and where we are versus

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Speaker 1: where we were told we would be. Is night and day.

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Speaker 1: You remember, I remember a year ago, now um marches

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Speaker 1: in the streets, maybe a year ago in a couple

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Speaker 1: of months, you know, not my president marches. The Women's March. Columnists,

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Speaker 1: supposedly serious calumnists for major publications either hinting at or

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Speaker 1: outright stating that fascism was descending upon America. And when

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Speaker 1: they weren't talking about fascism descending on America, they would

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Speaker 1: talk about how Trump was surrounding himself with cronies who

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Speaker 1: know nothing, that Trump is not the business mind that

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Speaker 1: he pretends to be, that he can't handle us, he

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Speaker 1: can't do this job, he's unfit to be president. Now

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Speaker 1: we are, what a year and a couple of months,

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Speaker 1: a year and change into the Trump presidency, and you've

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Speaker 1: got serious economists and serious people who are saying that

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Speaker 1: we're in actually for a lot of growth, a lot

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Speaker 1: of good things that matter to you, that matter to me.

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Speaker 1: I would like to see shared prosperity for the American people.

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Speaker 1: I'd like to see that the forgotten men and women

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Speaker 1: of this country the Democrat Party had left behind, had

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Speaker 1: taken for granted. I'd like to see those folks feel

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Speaker 1: like they've got a better shot going forward, that they

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Speaker 1: can make progress in their careers, on their mortgages, with

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Speaker 1: their bank accounts, that if they keep doing what they're

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Speaker 1: supposed to be doing as they have been, there's they

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Speaker 1: have a better chance a better shot at achieving the

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Speaker 1: kind of life that they want. But we don't get

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Speaker 1: told much about this, do we. We We don't get

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Speaker 1: to sit here and go over the numbers and say,

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Speaker 1: wait a second, not only did the stock market not crash,

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Speaker 1: which is what they were saying would happen on election night?

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Speaker 1: Oh the DAL futures are down five points. Oh no,

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Speaker 1: it's all that's what they were telling us. And I

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Speaker 1: mean they the entire media apparatus save a few. I mean,

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Speaker 1: I'm sitting here talking to you about the direction of

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Speaker 1: the economy and immigration plays a big growth. Trade. We're

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Speaker 1: gonna we've gotta trade expert joining Later in the show,

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Speaker 1: we will do a deep dive into what's going on

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Speaker 1: with China, what's going on with NAFTA, because you want

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Speaker 1: to know, right, this affects you. It affects the price

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Speaker 1: of the stuff you are buying day in and day out.

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Speaker 1: It affects the future of industry and therefore employment in

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Speaker 1: this country. It matters whether you're listening in Maine, Indiana,

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Speaker 1: or California. It matters to you. Meanwhile, as I sit

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Speaker 1: here in the Freedom Hunt, you know, we're pretty technically advanced.

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Speaker 1: We're pretty savvy up in this place. We've got monitors,

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Speaker 1: screens on, and so I can just kind of get

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Speaker 1: a sense as I'm talking to you of what the

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Speaker 1: other folks are are discussing. And sure enough, CNN is

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Speaker 1: running yet another another Stormy Daniels montage. You know that's

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Speaker 1: what we need. Let's let's just let's put a little

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Speaker 1: more Stormy Daniels. You know that they've got a fever

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Speaker 1: and the only prescription is more Stormy Daniels. It's it's

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Speaker 1: not not even I guess we could use their stage name,

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Speaker 1: but that's what they're doing. That's that's what they're run with.

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Speaker 1: I think that they're now in the game of just

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Speaker 1: all out distraction until they can come up with a

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Speaker 1: semi coherent narrative of why the Trump presidency has actually

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Speaker 1: been a disaster for America based on what they told

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Speaker 1: us it would be. It's a miracle. I mean, you'd

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Speaker 1: have to you'd have to assume that there was divine

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Speaker 1: providence in the salvation of America, right because we were

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Speaker 1: led to believe that if Trump was president, if never

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Speaker 1: mind just Trump, Trump is president, and Republicans of the

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Speaker 1: House and the Senate and things are good I'm not

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Speaker 1: saying it's perfect. We had a lot of things to

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Speaker 1: work on. I was very annoyed at Trump over the Omnibus,

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Speaker 1: and you know, we still have much to much to

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Speaker 1: fight for. But things are actually pretty good, and you

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Speaker 1: get into the what matters to you versus what they

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Speaker 1: want to tell you paradigm, they being those who have

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Speaker 1: all along been lying to you, misleading you, presenting you

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Speaker 1: with yes, fake news or false news I like to

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Speaker 1: call it, depending on the the severity of the infraction.

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Speaker 1: And here it is. It's it's prime time, folks, I'm

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Speaker 1: on the radio in primetime. It's prime time on TV

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Speaker 1: and you get see an and running Stormy. More more

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Speaker 1: on Stormy Daniels, you know, would be interesting. And producer Mike,

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Speaker 1: maybe we could find a way to we look through

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Speaker 1: some of the transcript would be really interesting to see.

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Speaker 1: When the last time was that CNN ran an actual

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Speaker 1: story or MSNBC on the unemployment rate just I mean,

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Speaker 1: I mean even mentioning it in any well, you know

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Speaker 1: where it actually went up on the screen, you know,

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Speaker 1: and it was the the focus of a segment, you know,

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Speaker 1: the employment rate in the country, or we can even

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Speaker 1: do black unemployment in this country, which is that historic lows,

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Speaker 1: or Hispanic unemployment in this country, which is that historic lows,

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Speaker 1: And how this president keep celebrating this and saying, isn't

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Speaker 1: this great, guys? Lucky? Not only is a country really

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Speaker 1: doing well, but also historically disenfranchised communities are doing well

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Speaker 1: better than they've done in decades. And it's under the

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Speaker 1: president that they told us was the basically as bad

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Speaker 1: as Hitler, fascist who can't count to five. It is

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Speaker 1: good to tank the economy and fight a nuclear war

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Speaker 1: that somehow we'd lose with North Korea. I think that

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Speaker 1: there has to be a sense of quiet panic among

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Speaker 1: other of the never really quiet, right, but internal panic

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Speaker 1: among some of the Democrat media apparatus. And that's how

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Speaker 1: always how we think of it too. It is an

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Speaker 1: apparatus that it's their symbiotic organisms, you know, the Democrats

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Speaker 1: and the media. There they go back and forth between

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Speaker 1: the two, the Democrat Party and the media. But they've

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Speaker 1: been running with all this stuff and it's all come

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Speaker 1: to naught. And there are people that are so in

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Speaker 1: the grips of Trump's arrangement syndrome that they just want

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Speaker 1: to be fed this constant diet of Trump is destroying America.

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Speaker 1: Trump's the worst racist ever Trump Madeline Albright and I

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Speaker 1: actually had to I had to give her a a

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Speaker 1: bit of a buckslap for this one. Um. Madeline Albright

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Speaker 1: tweeted out that Trump was the most anti democratic president

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Speaker 1: in history. That was her tweet. Now, this is a

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Speaker 1: former Secretary of State and and I do we have

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Speaker 1: Brennan here, the former director of my home agency, the CIA.

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Speaker 1: Do we have what Brennan's been saying, Let's let's grab

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Speaker 1: some of that, guys, because oh yeah, here we go

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Speaker 1: play play fifteen for me, John, please. I think the

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Speaker 1: good cup bad cup proposed sort of approach is not

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Speaker 1: appropriate in this instance. I think Vladimir Putin and the

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Speaker 1: Russian government have to understand that there is unanimity within

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Speaker 1: the US government, within the executive branch as well as

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Speaker 1: the legislative branch, that we're not going to tolerate this

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Speaker 1: type of Russian interference. And when Mr Putin here's different

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Speaker 1: messages from Mr Trump that's inconsistent with what I think

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Speaker 1: the instruments of government are doing. The triumph to turn

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Speaker 1: the schools on Russia, I think it gives Mr Putin

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Speaker 1: a little bit of reassurance that he can continue along

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Speaker 1: this path and Donald Trump is going to do what

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Speaker 1: he can to protect Mr Putin. Donald Trump is gonna

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Speaker 1: do what he can to protect Putin. Wow, Yeah, that

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Speaker 1: seems fair. That seems fair minded at this point. Meanwhile,

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Speaker 1: Trump has done more to antagonize Putin than his pred

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Speaker 1: in one year than his predecessor did innate. Trump has

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Speaker 1: done more to show displeasure and taken more action in

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Speaker 1: response to Russian provocations of all kinds, which, by the way,

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Speaker 1: aren't really our problem, but that's a whole other discussion

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Speaker 1: then his predecessor did in eight years. And you still

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Speaker 1: have people with prominent platforms or at least big resumes

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Speaker 1: going out there on the anti Trump. Dare I say

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Speaker 1: crusade or should I say jihad? Whatever is acceptable these days?

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Speaker 1: Can have crusaders as a mascot anymore, that's for sure.

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Speaker 1: I wonder if you could get away with actually having

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Speaker 1: the ge Hottest as a mascot. I bet you could

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Speaker 1: do it. You can't have crusaders, They're they're abandoned crusaders

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Speaker 1: the mascot. If a team decided to call themselves the

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Speaker 1: ge Hottests, it would be okay. You know why, because

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Speaker 1: they'd have some apologist for radical Islam who would come

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Speaker 1: out and say, well, but it's really about internal striving.

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Speaker 1: That's always like, internal striving is what jihad is about.

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Speaker 1: But we'll talk about the nypds UH surveillance program, which

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Speaker 1: I was a part of. So something came down on

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Speaker 1: that today the news later on the show. Oh wait,

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Speaker 1: but but Madeline all Bright tell him fired up. I'm

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Speaker 1: bouncing around a little bit here. Sorry not on. All

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Speaker 1: Brand says that Trump is the most anti democratic president

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Speaker 1: in history, and I just had to to put it

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Speaker 1: out there publicly. Well, that's a pretty tough thing to say,

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Speaker 1: Civil War era, we don't have to go back into

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Speaker 1: the founding. We can just look at twentieth century presidents

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Speaker 1: and you have FDR putting Japanese Americans in internment camps.

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Speaker 1: You have Woodrow Wilson who wished the South had won

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Speaker 1: the Civil War, who was Reese, who resegregated the federal government,

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Speaker 1: and who was unrepentant Lee, an apologist for the clan,

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Speaker 1: the ku Klux Klan. But they're Democrats and so somehow

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Speaker 1: they don't register. But Trump is more anti democratic than

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Speaker 1: just those two candidates that came up with off the

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Speaker 1: top of my head. Meanwhile, pushing back finally against China

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Speaker 1: and its economic aggression and theft, it is theft. You

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Speaker 1: got an unemployment at four point one percent. You have

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Speaker 1: the stock market still still booming, despite everyone saying, oh,

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Speaker 1: it's gonna it's gonna come crash, and it might at

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Speaker 1: some point it will, there will be a correction. I

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Speaker 1: I know, I understand, but still doing quite well and

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Speaker 1: a lot of reason to be hopeful and optimistic. Meanwhile,

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Speaker 1: Stormy Daniels and Russia, that's what. That's what of people

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Speaker 1: whose livelihoods and whose careers, whose callings are supposed to

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Speaker 1: be bringing you information and facts of them don't want

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Speaker 1: to tell you about any of the things that I'm

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Speaker 1: talking about. They just want to talk about Putin and

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Speaker 1: Stormy Daniels. Is it possible for them to find two

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Speaker 1: subjects about which you, as a normal rational human being,

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Speaker 1: a normal rational American, could or would or should care less?

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Speaker 1: I don't know. I don't know if it's possible. I mean, sure,

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Speaker 1: I guess, But when you think about it, they're picking

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Speaker 1: some stuff that's really irrelevant to your day to day

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Speaker 1: life and to policy into what matters the country. So I,

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Speaker 1: like I said, we'll have a trade expert joining us

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Speaker 1: later on. I've got oh, I've got more on the

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Speaker 1: whole Mueller probe, which just never seems to stop. Kim

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Speaker 1: Strasso will hang out with a letter from the Wall

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Speaker 1: Street Journal. She's got some updates on the whole Scott

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Speaker 1: Pruett fiasco. Should it even be a fiasco, that's what

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Speaker 1: we will address. And um, I'll talk to you about

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Speaker 1: the Kevin Williamson firing from the Atlantic. I am very

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Speaker 1: agitated about it, and I'll tell you why other conservative

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Speaker 1: fed to the outrage machinery. Um, so we've got a

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Speaker 1: lot of talk about here, folks. Eight four eight to

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Speaker 1: five eight four buck be right back. We are about

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Speaker 1: to play a clip for you. But someone of interest

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Speaker 1: to the grand jury, but it can also mean someone

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Speaker 1: who's on the road to being charged with a crime.

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Speaker 1: It's a big deal to be under criminal investigation by

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Speaker 1: the FBI, particularly if you're President of the United States.

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Speaker 1: So certainly being a subject they shouldn't be cracking on

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Speaker 1: the open any champagne in the White House if he's

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Speaker 1: a subject of an investigation. Target is somebody they're going

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Speaker 1: to indict, and the President, by the policy, cannot be indicted.

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Speaker 1: So it's a little vague what they're meaning. And it

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Speaker 1: may be to make Mr Trump relax. If someone walked

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Speaker 1: in my office and said I was a subject of

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Speaker 1: a multi year criminal investigation led by former FBI Director

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Speaker 1: Robert Mueller, ID wet my pants. So you can't help

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Speaker 1: but think, and maybe it's strategic. I tell him he's

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Speaker 1: a subject. He likes being the subject. Well, we're gonna

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Speaker 1: we're gonna discuss with some people who have experience in this,

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Speaker 1: just how often that occurs that there's a little bit

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Speaker 1: of shading of it. When they're just on the verge

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Speaker 1: of switching you into target, they still say you're subject.

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Speaker 1: They are obsessed, folks, media obsessed, Looney Tunes level obsessed,

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Speaker 1: like you know, leaving dirty voicemails at two o'clock in

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Speaker 1: the morning after the first date. Obsessed. They need to

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Speaker 1: get a clue what you heard. There was a lot

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Speaker 1: of well, he's a subject, he's not a target, but

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Speaker 1: a subject could really be a target, So a subject

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Speaker 1: might as well be a target. So a subject is

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Speaker 1: a target, and you feel the crazy because I can

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Speaker 1: it is bonkers. I don't know. I can't separate how

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Speaker 1: much of this is genuine delusion versus uh playing delusion

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Speaker 1: because it plays to the base of plays to their audience, right,

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Speaker 1: So it's tough to know. You know, when Rachel Mattow

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Speaker 1: we played that she was cackling there about Trump and

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Speaker 1: this whole subject versus target situation, It's something to know.

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Speaker 1: Do they just think their audience is dumb and so

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Speaker 1: they play dumber to their audience, or do they really

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Speaker 1: believe this? I don't know which is which is worse.

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Speaker 1: By the way, I don't know which one is better

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Speaker 1: or worse for the state of things in this country.

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Speaker 1: There's a party that would like to believe that this

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Speaker 1: is this ahab like quest with Trump is white whale

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Speaker 1: is driven by cynicism instead of true believers. Meanwhile, we've

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Speaker 1: got Joe Dijonova, who is a former U S attorney

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Speaker 1: for d C. He had some thoughts on this investigation.

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Speaker 1: The fact that he has been recently notified that he

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Speaker 1: is a subject means absolutely nothing. He is not even

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Speaker 1: a subject. He is a witness. A subject is a

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Speaker 1: person whose conduct is within the scope of the Grand

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Speaker 1: jury's investigation. What the hell does that mean? It means

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Speaker 1: they don't have anything on him. And now we are

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Speaker 1: told that Mueller wants to interview the President of the

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Speaker 1: United States. What we are seeing now is conduct by

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Speaker 1: two public officials, Robert Mueller and Rod Rosenstein, that is unethical, unprofessional,

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Speaker 1: and embarrassment to the United States government. Rod Rosenstein single

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Speaker 1: handedly has taken away from the sitting President of the

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Speaker 1: United States sixteen months of as presidency by his incompetent

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Speaker 1: and fearful conduct. If I could do a standing ovation

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Speaker 1: and here that you would see, I think I would

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Speaker 1: do it right there. There are real stakes here. Everyone

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Speaker 1: with all with the Hyena arena over at CNN and

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Speaker 1: MSNBC and all the right you know, hey, you know,

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Speaker 1: all just so excited hoping that Trump is going to

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Speaker 1: is going to be indicted, the President is gonna come

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Speaker 1: crashing down. They forget that this is actually the most

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Speaker 1: powerful position, was powerful role in the world, and it

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Speaker 1: affects all of us. And it would be nice if

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Speaker 1: it went well, and if we didn't have people who

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Speaker 1: would do anything to go to any length of dishonesty

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Speaker 1: and disgrace in order to undermine the sitting president. He's

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Speaker 1: holding the line for America, buck sex in his back.

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Speaker 1: A lot of market to be above. A lot of

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Speaker 1: times it doesn't matter because in many places like California,

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Speaker 1: the same person votes many times. You probably heard about that.

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Speaker 1: They always like to say, oh, that's a conspiracy theory.

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Speaker 1: Not a conspiracy theory. Fox millions and millions of people,

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Speaker 1: and it's very hard because the state guards their records.

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Speaker 1: They don't want to see it. So we have a

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Speaker 1: lot of things going on, but a lot of things

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Speaker 1: are being straightened out. We had somebody in h on

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Speaker 1: the West Side Highway, which I know very well in Manhattan.

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Speaker 1: He ran over. I think he killed about eight people.

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Speaker 1: Came in through chain migration, or he might have also

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Speaker 1: come in through lottery, but he brought a lot of

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Speaker 1: people with him. They say twenty two people. Two people.

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Speaker 1: So this guy, because he's here now, can get the

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Speaker 1: mother and the father and the grandmother, and the cousins

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Speaker 1: and and the brothers and the sisters and the aunts

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Speaker 1: and the uncles. This is what the Democrats are doing

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Speaker 1: to you, and they like it because they think they're

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Speaker 1: gonna vote Democrat. Okay, believe it. They're they're doing that

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Speaker 1: for that reason. Trump's right on that one that immigrants

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Speaker 1: in the country are are a favored constituency illegal immigrants

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Speaker 1: in the country. Uh well, really, honestly, immigrants of all

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Speaker 1: kinds under the current immigration law are a favorite constituency

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Speaker 1: of Democrats, not because of any preference for immigrants wor

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Speaker 1: league immigrants as people, just because they vote Democrat. So

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Speaker 1: there's a very straightforward political rationale behind why Democrats take

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Speaker 1: the positions that they do want all of this. And

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Speaker 1: it is understandable that given our immigration system is not

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Speaker 1: in fact set up to take people who are the

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Speaker 1: most qualified and productive from day one once they are

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Speaker 1: in America. Right, That's just the truth. There are many

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Speaker 1: who are By the way, if you're an immigrant who

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Speaker 1: came to the country legally listening to the show right now,

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Speaker 1: for well, thank you honored to have this part of

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Speaker 1: team Buck. But also I'm not talking about you. I'm

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Speaker 1: saying that the vast majority of people who do come

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Speaker 1: to the country through immigration come in through family reunification,

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Speaker 1: which is what is another way of saying chain migration,

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Speaker 1: or they come in illegally. Those of you who actually

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Speaker 1: went the old fashioned way, like I'm going to apply

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Speaker 1: and become an immigrant to America. God bless and welcome

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Speaker 1: to the family. But you are increasingly rare among immigrants

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Speaker 1: in the United States. You it is overwhelmingly who is

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Speaker 1: related to somebody who's already here, which I'm sure there

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Speaker 1: are lots of great people who related to people who

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Speaker 1: were here. But it's not based on merit. It's not

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Speaker 1: it's not a an application process where there are objective

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Speaker 1: criteria taken into account for whether someone should be here

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Speaker 1: or not. Just do you have family here and you've

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Speaker 1: got a really big family, well, then get a lot

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Speaker 1: of people that will that will come to the front

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Speaker 1: of the immigration line. But Democrats understand what this means

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Speaker 1: for their electoral fortunes. If if you look at the

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Speaker 1: the change in California, for example, I mean the demographic

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Speaker 1: reality has changed in California, so it is now hard left.

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Speaker 1: It is a deep blue place that is a progressive

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Speaker 1: dystopia in the making. That much, I can promise you

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Speaker 1: it is all gonna come crashing down over there. It's

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Speaker 1: just a question when some of you are probably saying

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Speaker 1: buck has already happened, and come check out what's going

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Speaker 1: on in my town or city. I know, but this

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Speaker 1: is this is a glimpse into the future. By the way,

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Speaker 1: Trump was saying all that stuff about immigration at the

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Speaker 1: Tax Policy roundtable in West Virginia. So wait, didn't he

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Speaker 1: didn't he decide that he just was gonna like that

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Speaker 1: it was boring or whatever to talk about the stuff

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Speaker 1: that he had. Oh yeah he did. Actually, I remember

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Speaker 1: that this was fun that I'll start. You know, this

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Speaker 1: was gonna be my remarks. They would have taken about

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Speaker 1: two minutes. But the hell that would have been a

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Speaker 1: little boring, little boring. Now I'm reading off the first

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Speaker 1: paragrapher said, this is boring. Come on, we have to

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Speaker 1: we have to say, tell it like it is. Trump

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Speaker 1: had prepared to mark literally threw them like over his

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Speaker 1: shoulder and decided he was just gonna let it rip.

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Speaker 1: He was just gonna let it go. So he's talking

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Speaker 1: to more about the immigration issue. Now. I think he

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Speaker 1: got the message from the base. I think the Trump

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Speaker 1: voting base was like, you know what, dude, we we

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Speaker 1: gotta get this done. And the Omnibus was not okay.

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Speaker 1: So that's the good thing that the part of it

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Speaker 1: that still has this has to be resolved is well,

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Speaker 1: what Now, if we can all agree the Omnibus was

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Speaker 1: not in line with the promises the president made and

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Speaker 1: with what the direction of the Republican Party under this

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Speaker 1: president is supposed to be, then what do we do next?

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Speaker 1: How do we get to that end state that we

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Speaker 1: are all searching for? And I think the like I

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Speaker 1: like the focus on immigration. I like that he's making

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Speaker 1: the case publicly and we're having a discussion now that

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Speaker 1: we should have been able to have ten years ago

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Speaker 1: in this country. But um media has been complicit for

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Speaker 1: a whole bunch of reasons in the big the big

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Speaker 1: lies that are told constantly about immigration and the impact

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Speaker 1: on the economy and politics and the future of this country.

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Speaker 1: Illegal illegal immigration, um so. Trump also he went into

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Speaker 1: an area that of discussion that was somewhat reminiscent of

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Speaker 1: his campaign rhetoric. So I do think he's returning to

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Speaker 1: the original formula in a sense. And remember this is

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Speaker 1: not a tax policy round table. And he went into

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Speaker 1: the following, Now, Mexico is very tough policies. They can

429
00:24:43,160 --> 00:24:45,600
Speaker 1: do whatever they want, which is the way, child to

430
00:24:45,680 --> 00:24:50,080
Speaker 1: be honest, You're violating something very sacred. You're violating a border.

431
00:24:51,040 --> 00:24:54,119
Speaker 1: Canada very very tough, and Canada's very merit based. You

432
00:24:54,240 --> 00:24:57,840
Speaker 1: come into Canada, it's gotta be based on merit. With us,

433
00:24:57,880 --> 00:25:00,960
Speaker 1: it's a lottery system. Pick him out a lottery system.

434
00:25:01,000 --> 00:25:03,520
Speaker 1: You can imagine what those countries put into the system.

435
00:25:03,800 --> 00:25:08,520
Speaker 1: They're not putting there good ones. And remember my opening

436
00:25:08,560 --> 00:25:12,160
Speaker 1: remarks at Trump Teller or when I opened, everybody said, oh,

437
00:25:12,440 --> 00:25:15,480
Speaker 1: he was so tough, and I used the word rape.

438
00:25:16,240 --> 00:25:19,920
Speaker 1: And yesterday it came out where this journey coming up,

439
00:25:20,640 --> 00:25:23,800
Speaker 1: women are raped at levels that nobody has ever seen before.

440
00:25:24,520 --> 00:25:28,280
Speaker 1: They don't want to mention that thru these the human

441
00:25:28,280 --> 00:25:30,880
Speaker 1: traffic I think I even mentioned yesterday in the show

442
00:25:30,920 --> 00:25:34,280
Speaker 1: before Trunk on this show, before Trump gave his remarks today,

443
00:25:34,480 --> 00:25:38,320
Speaker 1: that women who are trafficked across the border are at

444
00:25:38,359 --> 00:25:43,480
Speaker 1: an astronomically higher risk of sexual assault, of being raped

445
00:25:43,520 --> 00:25:46,800
Speaker 1: than women in the general population of the United States

446
00:25:46,920 --> 00:25:51,879
Speaker 1: or Mexico, because they are an incredibly vulnerable situation dealing

447
00:25:51,880 --> 00:25:57,520
Speaker 1: with incredibly unsavory, grotesque people. Right those who are trafficking,

448
00:25:58,359 --> 00:26:01,160
Speaker 1: trafficking limigrants across the board. As we know, sometimes they'll

449
00:26:01,200 --> 00:26:05,200
Speaker 1: leave them in a shipping container, or they'll leave them

450
00:26:05,200 --> 00:26:10,680
Speaker 1: in the bed of a sixteen wheeler truck and they'll

451
00:26:10,720 --> 00:26:13,600
Speaker 1: just slowly asphyxiate in the heat in Texas. Remember that

452
00:26:13,640 --> 00:26:16,240
Speaker 1: happened a while ago. And these are what then the

453
00:26:16,240 --> 00:26:18,200
Speaker 1: cartels are tied into this, and the cartels will murder

454
00:26:18,240 --> 00:26:23,719
Speaker 1: anyone for any reason. And they are the single most

455
00:26:24,040 --> 00:26:29,280
Speaker 1: sophisticated human trafficking network that exists in Mexico. And human

456
00:26:29,320 --> 00:26:33,439
Speaker 1: trafficking makes the cartel's money. So when Mexico fails to

457
00:26:33,520 --> 00:26:38,159
Speaker 1: do its part to shut down this situation, it is

458
00:26:38,200 --> 00:26:41,040
Speaker 1: turning a blind eye. Not just two people who want

459
00:26:41,040 --> 00:26:43,359
Speaker 1: to come into the United States and work off the books,

460
00:26:43,400 --> 00:26:44,960
Speaker 1: and you know they want to pursue their version of

461
00:26:44,960 --> 00:26:48,960
Speaker 1: the American dream, albeit illegally. Uh, they're also treaming of

462
00:26:48,960 --> 00:26:51,040
Speaker 1: a blind eye to the cartels that threatened the very

463
00:26:51,040 --> 00:26:55,440
Speaker 1: integrity of this of some Mexican states. It's not true

464
00:26:55,480 --> 00:26:57,240
Speaker 1: across the whole country, but it's true in about five

465
00:26:57,320 --> 00:27:00,560
Speaker 1: or six of the Mexico of Mexico states right now

466
00:27:00,640 --> 00:27:03,919
Speaker 1: that there's just the cartel's run. Things. You don't hear

467
00:27:03,960 --> 00:27:06,840
Speaker 1: about that much here, do you. At some point people

468
00:27:06,960 --> 00:27:09,240
Speaker 1: start to ask questions to like, why does Mexico have

469
00:27:09,320 --> 00:27:11,520
Speaker 1: this level of dysfunction? What is going on over there?

470
00:27:12,520 --> 00:27:14,280
Speaker 1: When do we start to point a finger at the

471
00:27:14,280 --> 00:27:17,080
Speaker 1: Mexican government and say, you know, if you guys actually

472
00:27:17,160 --> 00:27:19,600
Speaker 1: ran things a little bit better, maybe we wouldn't have

473
00:27:19,720 --> 00:27:23,480
Speaker 1: quite the illegal immigrant problem that we do. It seems

474
00:27:23,520 --> 00:27:26,159
Speaker 1: like it seems like a fair discussion, doesn't it. You

475
00:27:26,240 --> 00:27:30,880
Speaker 1: don't getting into the US from Canada not that hard,

476
00:27:31,400 --> 00:27:34,440
Speaker 1: and we don't. We don't have millions and millions over

477
00:27:34,480 --> 00:27:36,800
Speaker 1: many years of illegal immigrants poor again from Canada. Why

478
00:27:36,880 --> 00:27:42,240
Speaker 1: is that Canadian government, for all of its leftward tilt

479
00:27:42,280 --> 00:27:46,640
Speaker 1: and the progressive whatever his name is, guy's got good hair,

480
00:27:47,080 --> 00:27:49,119
Speaker 1: So I'll give him that. I could hear. You know,

481
00:27:49,520 --> 00:27:52,239
Speaker 1: I respect the hair the rest of it. You know,

482
00:27:52,800 --> 00:27:57,080
Speaker 1: his policies and a lot of fan But Canada obviously

483
00:27:57,160 --> 00:27:59,639
Speaker 1: is a place that has rule of law and doesn't

484
00:27:59,640 --> 00:28:02,800
Speaker 1: have the kind of systemic and endemic corruption that is

485
00:28:02,920 --> 00:28:08,080
Speaker 1: pervasive in Mexico. You know, to Mexico, and it's a disaster.

486
00:28:08,720 --> 00:28:10,720
Speaker 1: Government's a disaster, and it's about to be a lot worse.

487
00:28:10,760 --> 00:28:13,080
Speaker 1: By the way, if this leftist I forget the guy's name,

488
00:28:13,440 --> 00:28:14,879
Speaker 1: I'll do a bit of a deep dive in my

489
00:28:14,920 --> 00:28:17,760
Speaker 1: own time into the upcoming Mexican election and cook at

490
00:28:17,760 --> 00:28:19,240
Speaker 1: a lot worse by the way. I saw this report

491
00:28:19,320 --> 00:28:23,400
Speaker 1: on bright Bart and before anybody say, oh Buck bright Part,

492
00:28:23,760 --> 00:28:26,160
Speaker 1: they're just linking. When I was the Blaze, we should

493
00:28:26,160 --> 00:28:28,040
Speaker 1: do this time. I usally found this fascinating. So when

494
00:28:28,040 --> 00:28:30,480
Speaker 1: I'm working at the Blaze, sometimes we would do what

495
00:28:30,720 --> 00:28:33,680
Speaker 1: is effectively aggregating what we would take a story where

496
00:28:34,000 --> 00:28:37,480
Speaker 1: we would you know, give a summarized version then linked

497
00:28:37,520 --> 00:28:39,880
Speaker 1: to it. But I put it out. Sometimes people say,

498
00:28:39,920 --> 00:28:42,440
Speaker 1: we'll come from the Blaze. I'm like, it's a New

499
00:28:42,520 --> 00:28:44,680
Speaker 1: York Times story that we're telling you about in linking,

500
00:28:44,800 --> 00:28:47,360
Speaker 1: So I mean it's not actually, this comes from the

501
00:28:47,400 --> 00:28:50,600
Speaker 1: Mexican paper l universal, so it's not a bright Bart

502
00:28:50,720 --> 00:28:54,520
Speaker 1: specific thing. It's it's a Mexican newspaper that's presenting this.

503
00:28:54,640 --> 00:28:57,040
Speaker 1: But they give the they give an English version of it.

504
00:28:57,760 --> 00:29:01,600
Speaker 1: Um that the Mexican Senate has just passed a resolution

505
00:29:02,680 --> 00:29:06,800
Speaker 1: seeking to end bilateral cooperation with the us A United

506
00:29:06,800 --> 00:29:11,120
Speaker 1: States against drug cartels and immigration problems because President Trump

507
00:29:11,120 --> 00:29:16,440
Speaker 1: has ordered National Guard troops to the border, they are

508
00:29:17,720 --> 00:29:21,000
Speaker 1: way way out of line when it comes to this

509
00:29:21,000 --> 00:29:26,680
Speaker 1: whole legal immigration problem, the whole mentality as expressed by

510
00:29:26,680 --> 00:29:29,080
Speaker 1: the Mexican government publicly and otherwise. From people that I

511
00:29:29,120 --> 00:29:30,560
Speaker 1: talked to who have spent a lot of time down

512
00:29:30,600 --> 00:29:33,000
Speaker 1: there and have worked with the Mexican government over many years,

513
00:29:33,800 --> 00:29:38,520
Speaker 1: their attitude is it's America's problem, and it's America's fault.

514
00:29:40,080 --> 00:29:43,000
Speaker 1: Don't ever forget that Mexican government doesn't take responsibility for

515
00:29:43,040 --> 00:29:45,800
Speaker 1: all this stuff. They're not saying, yeah, you know, maybe

516
00:29:45,840 --> 00:29:51,360
Speaker 1: if if we actually weren't just so wildly corrupt, the

517
00:29:51,400 --> 00:29:54,840
Speaker 1: economy here would be better. Foreign direct investment would be higher,

518
00:29:55,400 --> 00:29:57,320
Speaker 1: people would want to do more business in Mexico than

519
00:29:57,360 --> 00:30:00,880
Speaker 1: they currently do. Right, maybe if people could trust that

520
00:30:00,960 --> 00:30:03,960
Speaker 1: local police weren't on the payroll of massive drug lords

521
00:30:04,000 --> 00:30:06,520
Speaker 1: who have people executed in the most horrific ways possible,

522
00:30:06,800 --> 00:30:09,360
Speaker 1: more people would set up shop in some of the

523
00:30:09,360 --> 00:30:15,720
Speaker 1: states of Mexico. But no, no, their government believes from

524
00:30:15,720 --> 00:30:18,400
Speaker 1: the top down that it is overwhelming. The problems of

525
00:30:18,440 --> 00:30:21,040
Speaker 1: the cartels, the legal immigration, all of it is America's fault.

526
00:30:21,080 --> 00:30:24,560
Speaker 1: It is America's problem. We are the reason that this exists,

527
00:30:24,720 --> 00:30:26,840
Speaker 1: and we should have to deal with all the consequences

528
00:30:26,840 --> 00:30:31,200
Speaker 1: of it. That the Mexican Senate would pass this resolutions

529
00:30:31,240 --> 00:30:33,720
Speaker 1: goes to show you. So we're not allowed to secure

530
00:30:33,720 --> 00:30:38,000
Speaker 1: our border. Border patrol can't I mean sorry, a national

531
00:30:38,080 --> 00:30:42,280
Speaker 1: guard doesn't do arrests, that's border patrol. National guard would

532
00:30:42,280 --> 00:30:45,320
Speaker 1: just be there to provide supports that law enforcement could

533
00:30:45,440 --> 00:30:48,280
Speaker 1: direct more of their attention at the border, specifically border

534
00:30:48,320 --> 00:30:55,800
Speaker 1: patrol two preventing illegal crossing. And there's there's a backlash

535
00:30:55,800 --> 00:30:58,600
Speaker 1: against this, according to l Universalid News, and a backlash.

536
00:30:58,640 --> 00:31:00,440
Speaker 1: I'm not talking about the Mexican street, it from the

537
00:31:00,520 --> 00:31:05,680
Speaker 1: Mexican Center. What does that tell you? What to tell

538
00:31:05,720 --> 00:31:08,920
Speaker 1: you about where this situation really is? And how is

539
00:31:08,960 --> 00:31:13,320
Speaker 1: this not a much higher level priority for media discussion

540
00:31:13,560 --> 00:31:15,480
Speaker 1: is beyond it? May maybe you think that I'm starting

541
00:31:15,480 --> 00:31:17,400
Speaker 1: to sound a little ahab like here we talking about

542
00:31:17,440 --> 00:31:19,880
Speaker 1: the problems of illegal immigration of the cartels, and I

543
00:31:19,960 --> 00:31:21,480
Speaker 1: just think this is one of the biggest issues facing

544
00:31:21,480 --> 00:31:26,160
Speaker 1: America right now period. Look, I have I have real

545
00:31:26,240 --> 00:31:30,320
Speaker 1: expertise in in Iraq and counterinsurgency and jeehattest networks, and

546
00:31:30,680 --> 00:31:32,360
Speaker 1: maybe I'll talk about that in the next hour, but

547
00:31:33,120 --> 00:31:35,800
Speaker 1: I'm just gonna tell it to you straight. Mexico is

548
00:31:35,840 --> 00:31:38,360
Speaker 1: a much bigger national security issue for US than Syria

549
00:31:38,520 --> 00:31:43,080
Speaker 1: is full stop, no question about it. I meanwhile, a

550
00:31:43,120 --> 00:31:44,960
Speaker 1: lot of people, Oh well, let's have a roundtable about

551
00:31:45,000 --> 00:31:47,280
Speaker 1: you know, what's go serious. We've got US troops there.

552
00:31:47,280 --> 00:31:51,640
Speaker 1: It's important. I'm not minimizing it. I'm just saying, on balance,

553
00:31:52,960 --> 00:31:57,680
Speaker 1: the issue of drugs, illegal crossings, the cartels, transnational criminals,

554
00:31:57,720 --> 00:32:01,000
Speaker 1: human smugg like all. It it such an and it

555
00:32:01,040 --> 00:32:04,680
Speaker 1: affects communities now all across the country, regardless of their size,

556
00:32:05,800 --> 00:32:09,680
Speaker 1: And the politicians have either been brainwashed into thinking somehow

557
00:32:09,720 --> 00:32:12,520
Speaker 1: this isn't their fault or and I think this is

558
00:32:12,560 --> 00:32:15,880
Speaker 1: more likely. I just don't want to deal with the reality.

559
00:32:16,120 --> 00:32:18,640
Speaker 1: They think they can keep hiding from it. And that

560
00:32:18,720 --> 00:32:20,600
Speaker 1: was why when Trump finally came out and just said, look,

561
00:32:20,600 --> 00:32:22,200
Speaker 1: we've got big problems. Here's what they are, and said,

562
00:32:22,240 --> 00:32:27,360
Speaker 1: oh my gosh, someone's finally telling us what we already know.

563
00:32:28,240 --> 00:32:29,880
Speaker 1: But it's somebody who says that if you put me

564
00:32:29,920 --> 00:32:33,479
Speaker 1: in charge, I'll do something about it. They're doing stuff,

565
00:32:33,520 --> 00:32:36,160
Speaker 1: but not enough, so we'll keep an eye on it.

566
00:32:36,160 --> 00:32:39,120
Speaker 1: All right, eight four five, you want to call in.

567
00:32:39,360 --> 00:32:42,239
Speaker 1: We've got a lot more coming up, my friends, So

568
00:32:42,480 --> 00:32:59,880
Speaker 1: stay with me, get to it. But first, real quick

569
00:33:00,000 --> 00:33:02,160
Speaker 1: baking news here. Trump says he wants to send about

570
00:33:02,200 --> 00:33:05,040
Speaker 1: two to four thousand National Guard members the US Mexico

571
00:33:05,080 --> 00:33:07,640
Speaker 1: border that's which is broken last hour. So we've got

572
00:33:07,680 --> 00:33:12,720
Speaker 1: some numbers now at onto that reporting. William in Eden,

573
00:33:13,080 --> 00:33:17,160
Speaker 1: North Carolina. Hey, William, but um, I was just wondering

574
00:33:17,200 --> 00:33:20,600
Speaker 1: other than just droves and violence that they run from

575
00:33:20,920 --> 00:33:24,000
Speaker 1: with Mexicobian you know, all the natural resources and stuff

576
00:33:24,040 --> 00:33:27,200
Speaker 1: they have this beautiful country, why are they coming here

577
00:33:27,240 --> 00:33:29,880
Speaker 1: and groves a stead of building up their own country

578
00:33:29,880 --> 00:33:33,360
Speaker 1: where people would want to go there. This vacationing in

579
00:33:33,400 --> 00:33:35,920
Speaker 1: the good spot. Well, you know, it's it's interesting, Williams.

580
00:33:36,200 --> 00:33:39,040
Speaker 1: Mexico and this I think it's lost. Mexico is not

581
00:33:39,080 --> 00:33:41,520
Speaker 1: a third world country. It actually is pretty it's pretty

582
00:33:41,520 --> 00:33:44,920
Speaker 1: well off by by global standards. And there's incredible wealthare

583
00:33:44,960 --> 00:33:48,120
Speaker 1: and Carlos Slim and there are incredible concentrations of wealth.

584
00:33:48,760 --> 00:33:50,440
Speaker 1: And the wealthy aren't the ones that are coming into

585
00:33:50,440 --> 00:33:54,040
Speaker 1: the United States illegally, Obviously, it tends to be uh

586
00:33:54,240 --> 00:33:57,680
Speaker 1: poor people from the countryside or from slums of the

587
00:33:57,720 --> 00:34:02,240
Speaker 1: major cities who are just looking for a a better,

588
00:34:02,520 --> 00:34:06,000
Speaker 1: better access into a labor market that will pay them

589
00:34:06,080 --> 00:34:08,799
Speaker 1: more money. Right, so they're just looking at it from

590
00:34:08,840 --> 00:34:10,560
Speaker 1: the And I understand this, by the way, I don't

591
00:34:10,560 --> 00:34:14,840
Speaker 1: begrudge immigrants wanting to be able to work for three

592
00:34:15,160 --> 00:34:17,360
Speaker 1: x what they would do. You know, a day laborer

593
00:34:17,360 --> 00:34:19,200
Speaker 1: in the United States is making more money than a

594
00:34:19,239 --> 00:34:21,239
Speaker 1: day labor or will in Mexico, right, And I said

595
00:34:21,239 --> 00:34:22,480
Speaker 1: three x. I don't know what it is, but it's

596
00:34:22,480 --> 00:34:25,520
Speaker 1: a lot more. So that's why. But I think you're

597
00:34:25,560 --> 00:34:28,000
Speaker 1: I think the point you're making, William is, you know,

598
00:34:28,200 --> 00:34:32,000
Speaker 1: if the if people keep leaving the country. Um, if

599
00:34:32,080 --> 00:34:35,520
Speaker 1: people leaving the country, it's not going to get better. Um,

600
00:34:35,560 --> 00:34:37,640
Speaker 1: assuming that the people who are leaving are the ones

601
00:34:37,680 --> 00:34:40,320
Speaker 1: who might be who might be able to improve the situation.

602
00:34:40,680 --> 00:34:44,439
Speaker 1: Even mind that the Mexican immigrant population the United States

603
00:34:44,480 --> 00:34:47,200
Speaker 1: is sending twenty billion dollars a year back to Mexico.

604
00:34:47,960 --> 00:34:50,200
Speaker 1: So you know that that that which is very different

605
00:34:50,200 --> 00:34:51,920
Speaker 1: than what you have in a lot of other countries. Right,

606
00:34:51,960 --> 00:34:59,160
Speaker 1: That's that's a big number. Right. Yeah. Some of the

607
00:34:59,200 --> 00:35:01,719
Speaker 1: Mexican people out know, um, some of the great people

608
00:35:01,760 --> 00:35:04,080
Speaker 1: I've ever met, some of the most honest, hard working

609
00:35:04,120 --> 00:35:07,120
Speaker 1: people I've ever met. But I just couldn't understand why

610
00:35:07,160 --> 00:35:09,600
Speaker 1: they're here. In the millions instead of what you know.

611
00:35:09,640 --> 00:35:11,879
Speaker 1: What you just explained to the makes sense. But yeah,

612
00:35:12,120 --> 00:35:16,560
Speaker 1: look I hear you. William, thank you for calling him man. Yeah. Ms.

613
00:35:16,600 --> 00:35:20,759
Speaker 1: Molly is almost half Mexican, so her families Mexican. Yeah,

614
00:35:21,040 --> 00:35:25,480
Speaker 1: a fun fact. There you go. Uh, let's take uh.

615
00:35:25,880 --> 00:35:30,719
Speaker 1: Jesse in Mississippi. Hey, Jesse, Hi, Buck, how you doing.

616
00:35:32,160 --> 00:35:35,400
Speaker 1: I'm called. I love calling up messing with you, but

617
00:35:35,520 --> 00:35:38,480
Speaker 1: this time I'm calling to make a public service announcement

618
00:35:38,520 --> 00:35:40,959
Speaker 1: to help you out, seeing as though my favorite talk

619
00:35:41,000 --> 00:35:44,400
Speaker 1: show host hasn't really I've never heard you say anything

620
00:35:44,440 --> 00:35:48,600
Speaker 1: about this now this time of day, I always listened

621
00:35:48,640 --> 00:35:51,600
Speaker 1: to the radio. It's an A M station in Jackson, Mississippi.

622
00:35:52,400 --> 00:35:55,080
Speaker 1: H w j g X. You got twenty seconds, Jesse,

623
00:35:56,640 --> 00:36:01,880
Speaker 1: twenty seconds? All right? Anyway, right now these days, college

624
00:36:01,920 --> 00:36:04,920
Speaker 1: baseball is is taken over your show between six and

625
00:36:05,000 --> 00:36:08,080
Speaker 1: six thirty. And to those people listening that don't know,

626
00:36:08,800 --> 00:36:11,479
Speaker 1: I Heart Radio has an act for the Bucks Buck

627
00:36:11,520 --> 00:36:14,520
Speaker 1: Sexton Show live. Yes it does, Jesse, thank you. I

628
00:36:14,600 --> 00:36:16,440
Speaker 1: got a little commercial in the guys. You can always

629
00:36:16,480 --> 00:36:18,440
Speaker 1: listen to the Buck Secting Show on the I Heart

630
00:36:18,520 --> 00:36:20,560
Speaker 1: Radio app, and you can always listen live there just

631
00:36:20,560 --> 00:36:33,839
Speaker 1: needs sell service or WiFi. He's back with you now,

632
00:36:34,120 --> 00:36:36,600
Speaker 1: because when it comes to the fight for truth, the

633
00:36:36,840 --> 00:36:40,880
Speaker 1: fuck never stops. Welcome back to the Buck Sexton Show everyone.

634
00:36:41,560 --> 00:36:46,080
Speaker 1: I I couldn't help but see in the headlines today

635
00:36:46,200 --> 00:36:50,920
Speaker 1: something that well, it catches my attention because it it

636
00:36:51,040 --> 00:36:54,120
Speaker 1: hits home. It's something that I know quite well and

637
00:36:54,640 --> 00:36:59,120
Speaker 1: was involved in for a time. People sometimes ask, what Buck,

638
00:36:59,160 --> 00:37:00,239
Speaker 1: what do you do for the m y p D.

639
00:37:00,320 --> 00:37:03,200
Speaker 1: I worked in the Intelligence Division of the NYPD for

640
00:37:03,200 --> 00:37:07,880
Speaker 1: about eighteen months. During that period, I was uh on

641
00:37:07,920 --> 00:37:12,520
Speaker 1: a leave of absence from the from the CIA UM,

642
00:37:12,520 --> 00:37:14,759
Speaker 1: which means that I could go back whenever I wanted that.

643
00:37:14,920 --> 00:37:17,040
Speaker 1: You can do this, you know, it's a different Federal

644
00:37:17,040 --> 00:37:19,440
Speaker 1: agencies allow you if you want to take time with family,

645
00:37:19,560 --> 00:37:21,680
Speaker 1: or if you want to, you know, go pursue an

646
00:37:21,680 --> 00:37:26,000
Speaker 1: advanced degree. And I I wanted to go pursue terrorists

647
00:37:26,000 --> 00:37:28,799
Speaker 1: in New York City basically was the idea. So I

648
00:37:28,840 --> 00:37:32,319
Speaker 1: spent time at the Intelligence Division. Very interesting period in

649
00:37:32,360 --> 00:37:38,359
Speaker 1: my life. UM. But now there's the Intelligence Division in

650
00:37:38,440 --> 00:37:41,040
Speaker 1: the headlines here, and it goes to this is not

651
00:37:41,160 --> 00:37:47,200
Speaker 1: just about New York stuff or or even counter terrorism

652
00:37:47,320 --> 00:37:49,960
Speaker 1: policy and surveillance, although those are all tied into this

653
00:37:50,080 --> 00:37:57,840
Speaker 1: clearly just also about how politics drives conversations that it

654
00:37:57,960 --> 00:38:00,239
Speaker 1: really shouldn't be allowed to be dictated by policy six.

655
00:38:00,280 --> 00:38:03,200
Speaker 1: And yet here we are, sure enough, here's what happened.

656
00:38:03,200 --> 00:38:08,480
Speaker 1: Here's the headline from today. Yeah, NYPD has settled the

657
00:38:08,560 --> 00:38:13,520
Speaker 1: surveillance suit brought by Muslim groups in New Jersey for

658
00:38:13,680 --> 00:38:17,960
Speaker 1: seventy five thousand dollars UM. Cops have not admitted any

659
00:38:18,000 --> 00:38:21,439
Speaker 1: wrongdoing in this The city agreed to pay seventy five

660
00:38:21,440 --> 00:38:23,960
Speaker 1: thousand dollars to be divided up among the eleven plaintiffs

661
00:38:23,960 --> 00:38:28,000
Speaker 1: in the suit. The department also agreed to not engage

662
00:38:28,040 --> 00:38:31,839
Speaker 1: in suspicionless surveillance on the basis of religion or ethnicity,

663
00:38:32,280 --> 00:38:34,840
Speaker 1: and to have the plaintiffs give input to a policy

664
00:38:34,840 --> 00:38:37,960
Speaker 1: guide by the NYPDS Intelligence Bureau. That is literally the

665
00:38:38,000 --> 00:38:40,600
Speaker 1: office that I worked for. According to the Center for

666
00:38:40,680 --> 00:38:45,480
Speaker 1: Constitutional Rights, which represented the plaintiffs UM, the New Jersey

667
00:38:45,600 --> 00:38:47,319
Speaker 1: suit was one of several This is all from the

668
00:38:47,360 --> 00:38:51,360
Speaker 1: Daily News today, one of several legal filing filings claiming

669
00:38:51,400 --> 00:38:54,200
Speaker 1: some surveillance tactics performed by cops assigned to the counter

670
00:38:54,239 --> 00:38:58,960
Speaker 1: Terrorism Bureau in the years since nine eleven were unconstitutional.

671
00:39:00,040 --> 00:39:02,000
Speaker 1: The practices were part of the n y p d

672
00:39:02,160 --> 00:39:09,799
Speaker 1: S often maligned so called Muslim spying program. Okay, let

673
00:39:09,800 --> 00:39:11,560
Speaker 1: me let me tell you a bit about this so

674
00:39:11,719 --> 00:39:14,400
Speaker 1: called Muslim spying program because I was part of it.

675
00:39:14,960 --> 00:39:17,160
Speaker 1: So isn't that fun? Look at that that your your

676
00:39:17,200 --> 00:39:21,319
Speaker 1: host here was was tied in with the headlines. And

677
00:39:22,640 --> 00:39:24,919
Speaker 1: I can now there's some parts that that I can't

678
00:39:24,920 --> 00:39:28,319
Speaker 1: talk about for legal reasons obviously, um, but I can

679
00:39:28,360 --> 00:39:31,160
Speaker 1: tell you what was really going on and what wasn't

680
00:39:32,320 --> 00:39:35,279
Speaker 1: And here's the ultimate here's the problem, folks, here's what

681
00:39:35,280 --> 00:39:38,680
Speaker 1: you run into. And this this also reminds me of

682
00:39:39,320 --> 00:39:42,239
Speaker 1: why we had the Trump movement that we did in

683
00:39:42,280 --> 00:39:46,320
Speaker 1: this country and why it's not often mentioned these days,

684
00:39:46,360 --> 00:39:49,719
Speaker 1: but just his refusal to bow to the dictates of

685
00:39:49,719 --> 00:39:55,120
Speaker 1: political correctness was so powerful because we've all seen it

686
00:39:55,719 --> 00:39:59,360
Speaker 1: where something that is quite obvious, something that could not

687
00:39:59,440 --> 00:40:04,880
Speaker 1: be more and has to be ignored or else the left,

688
00:40:05,000 --> 00:40:07,719
Speaker 1: the Democrats, the media will come for you, They will

689
00:40:07,719 --> 00:40:11,000
Speaker 1: come after you. So here's what was going on. The

690
00:40:11,080 --> 00:40:16,799
Speaker 1: in Talent Division, the NYPD, they had units set up

691
00:40:17,560 --> 00:40:22,640
Speaker 1: for and and any kind of terrorism would be immediately investigated.

692
00:40:22,800 --> 00:40:26,600
Speaker 1: We had a tip line, and all of the investigations

693
00:40:27,120 --> 00:40:29,279
Speaker 1: had to be formed under This is for those of

694
00:40:29,320 --> 00:40:31,160
Speaker 1: you who are actually sworn law enforcing and you don't

695
00:40:31,160 --> 00:40:32,800
Speaker 1: talk about you have to, you know, have to have

696
00:40:32,840 --> 00:40:35,480
Speaker 1: a criminal predicate. You had to actually have a the

697
00:40:35,520 --> 00:40:40,239
Speaker 1: basis for a criminal case. That was the The only

698
00:40:40,280 --> 00:40:43,640
Speaker 1: thing that went outside of that was just what we

699
00:40:43,680 --> 00:40:48,680
Speaker 1: would call area familiarization. What is area familiarization? Any beat

700
00:40:48,680 --> 00:40:51,640
Speaker 1: cop listening this right now, and I say that with love,

701
00:40:51,680 --> 00:40:53,759
Speaker 1: I have beat cops in my family or beat cop

702
00:40:53,800 --> 00:40:55,880
Speaker 1: in my family. I don't want to overstate it, but

703
00:40:56,000 --> 00:40:58,040
Speaker 1: anyone listening to this right now has ever been a

704
00:40:58,080 --> 00:41:00,839
Speaker 1: beat cop knows you've got to know your area, so

705
00:41:00,920 --> 00:41:03,520
Speaker 1: you spend time in it. You get to know the area,

706
00:41:03,880 --> 00:41:06,440
Speaker 1: who lives there, what you know, what's out of place,

707
00:41:06,520 --> 00:41:08,920
Speaker 1: what's not. And it's incredible the knowledge that's that cops

708
00:41:08,960 --> 00:41:12,520
Speaker 1: will get over time from just spending a lot of

709
00:41:12,560 --> 00:41:16,200
Speaker 1: time on the streets that they patrol. Right, they really

710
00:41:16,239 --> 00:41:18,040
Speaker 1: know there. And you gotta know your beat, right, whether

711
00:41:18,080 --> 00:41:22,279
Speaker 1: you're talking about cops or journalists, No, you're beat. It's

712
00:41:22,280 --> 00:41:25,360
Speaker 1: a phrase you'll hear. So the only place where you

713
00:41:25,400 --> 00:41:29,400
Speaker 1: ever had the NYPD get in trouble for not pursuing

714
00:41:29,480 --> 00:41:34,400
Speaker 1: criminal cases but just so called Muslim spying. Muslim surveillance

715
00:41:34,480 --> 00:41:38,480
Speaker 1: was knowing where mosques were in the city, for example,

716
00:41:40,480 --> 00:41:44,640
Speaker 1: and knowing that there was a particularly large, let's say

717
00:41:44,840 --> 00:41:49,319
Speaker 1: Yemeni or Bangladeshi or you name it community in one

718
00:41:49,360 --> 00:41:52,520
Speaker 1: part of the city. Now that's important because if you

719
00:41:52,520 --> 00:41:55,520
Speaker 1: want to do outreach efforts, if you want to, yeah,

720
00:41:55,680 --> 00:41:58,360
Speaker 1: you want to know where the where the main centers

721
00:41:58,360 --> 00:42:01,239
Speaker 1: of gravity are for different because you know, New York

722
00:42:01,320 --> 00:42:04,359
Speaker 1: has like three languages spoken here, and it's it's quite

723
00:42:04,360 --> 00:42:06,600
Speaker 1: a place, right, city of eight million people, people from

724
00:42:06,719 --> 00:42:10,080
Speaker 1: pretty much every place on the planet or here. I'm

725
00:42:10,080 --> 00:42:13,319
Speaker 1: sure we have a few residents of legal residents of

726
00:42:13,320 --> 00:42:15,400
Speaker 1: Antarctica who have even shown up over the years. So

727
00:42:16,520 --> 00:42:18,640
Speaker 1: the NYPD wanted to know about the city. It was

728
00:42:18,680 --> 00:42:21,919
Speaker 1: just terrain mapping, but because it included some mosques, which

729
00:42:21,960 --> 00:42:24,560
Speaker 1: I'm pretty sure that's open information, right, Where's where's the

730
00:42:24,560 --> 00:42:26,960
Speaker 1: theres mosque in this area? Oh? Okay, that's where it is.

731
00:42:28,080 --> 00:42:31,640
Speaker 1: Nobody was walking in with a microphone and recording everything

732
00:42:31,719 --> 00:42:34,800
Speaker 1: and you know, no, no, no, but just even knowing

733
00:42:35,320 --> 00:42:38,600
Speaker 1: this is where you have a a large population of

734
00:42:38,600 --> 00:42:41,240
Speaker 1: people of Muslim extraction in the city, and just knowing

735
00:42:41,280 --> 00:42:45,239
Speaker 1: where the nearest houses of worship were for Muslims was

736
00:42:45,719 --> 00:42:49,719
Speaker 1: a problem, which in now you're black buck, this is

737
00:42:50,040 --> 00:42:51,560
Speaker 1: and and then you get to the other. So that's

738
00:42:51,560 --> 00:42:53,439
Speaker 1: on one level, and that was, oh my gosh, they're

739
00:42:53,440 --> 00:42:55,440
Speaker 1: doing all this spying. Amulis. There was no spying. Muz

740
00:42:55,560 --> 00:42:58,400
Speaker 1: I worked with Muslims. The NYPD, there's no, there was

741
00:42:58,440 --> 00:43:01,359
Speaker 1: no Oh, we just we have a problem with these

742
00:43:01,360 --> 00:43:03,920
Speaker 1: people who were gonna look at their stuff. And no, no,

743
00:43:04,080 --> 00:43:08,360
Speaker 1: that did not happen. Okay, what's the next level. The

744
00:43:08,400 --> 00:43:10,960
Speaker 1: next level is why do you guys have so many

745
00:43:11,000 --> 00:43:14,240
Speaker 1: counter terrorism cases that involved Muslims, Which is the question

746
00:43:14,280 --> 00:43:20,680
Speaker 1: people would ask. We had non gihad units set up,

747
00:43:21,200 --> 00:43:23,279
Speaker 1: right and and even the terminology we're supposed to use

748
00:43:23,320 --> 00:43:27,760
Speaker 1: talk about this, you know, isis inspired, hes bullet tied, etcetera, etcetera.

749
00:43:27,800 --> 00:43:29,000
Speaker 1: You got on all that. You can get into a

750
00:43:29,080 --> 00:43:34,040
Speaker 1: lot of specificity, but no, it's Islamic extremism. We had

751
00:43:34,160 --> 00:43:38,840
Speaker 1: units that were set up for non Islamic extremism. And

752
00:43:38,880 --> 00:43:40,880
Speaker 1: as I think I've mentioned you before on the show,

753
00:43:41,840 --> 00:43:46,200
Speaker 1: they were quite bored. I'm not saying there aren't white

754
00:43:46,200 --> 00:43:50,720
Speaker 1: supremacist terrorists. There certainly are, just not a lot of them.

755
00:43:50,800 --> 00:43:55,200
Speaker 1: I'm not saying there aren't anarchist terrorists. In fact, just

756
00:43:55,200 --> 00:44:00,320
Speaker 1: spoke to you earlier about McKinley and how chow gosh

757
00:44:00,680 --> 00:44:03,200
Speaker 1: he was like he was assassinated by an anarchist. There

758
00:44:03,239 --> 00:44:05,000
Speaker 1: was a time when anarchists were actually the big, bad,

759
00:44:05,000 --> 00:44:08,080
Speaker 1: scary terrorists. Try to blow up Wall Street with a

760
00:44:08,120 --> 00:44:12,120
Speaker 1: big bomb, knocking off presidents said, a whole series of

761
00:44:12,120 --> 00:44:15,720
Speaker 1: events in motion with the assassination of an otherwise somewhat

762
00:44:15,760 --> 00:44:23,080
Speaker 1: obscure Serbian or not Serbian part of me Archduke in Serbia. Uh,

763
00:44:23,120 --> 00:44:24,840
Speaker 1: that that was a thing that happened that had some

764
00:44:24,880 --> 00:44:27,319
Speaker 1: big ramifications. So anarchists used to be a big deal.

765
00:44:27,360 --> 00:44:29,080
Speaker 1: But you know what, not a lot of anarchist terrorism

766
00:44:29,120 --> 00:44:33,640
Speaker 1: going on either. So what was this unit that was

767
00:44:33,680 --> 00:44:35,719
Speaker 1: set up post nine eleven in a city that had

768
00:44:35,719 --> 00:44:43,640
Speaker 1: been attacked and lost thousands of of civilians in the

769
00:44:43,840 --> 00:44:46,520
Speaker 1: World Trade Center. We set up a unit here to

770
00:44:46,560 --> 00:44:48,600
Speaker 1: try and prevent that from ever having to help prevent

771
00:44:48,600 --> 00:44:50,520
Speaker 1: it from ever happening again, working with our partners in

772
00:44:50,520 --> 00:44:55,520
Speaker 1: the FBI and different federal intelligence agencies, law enforcement, military,

773
00:44:55,520 --> 00:44:59,880
Speaker 1: all working together. And what was the big problem with

774
00:45:00,120 --> 00:45:03,000
Speaker 1: the intelligence units work that all these a c l

775
00:45:03,040 --> 00:45:05,520
Speaker 1: U in these different groups had. Oh that's right, why

776
00:45:05,560 --> 00:45:10,880
Speaker 1: do you focus on so many Islamic terrorism cases? That

777
00:45:10,960 --> 00:45:14,600
Speaker 1: was one of the things that came up. And the answer,

778
00:45:14,840 --> 00:45:16,759
Speaker 1: and this is where you get into how Trump will

779
00:45:16,760 --> 00:45:20,000
Speaker 1: speak the truth and and the media won't or most

780
00:45:20,040 --> 00:45:23,040
Speaker 1: of it won't. The answer is because most of the

781
00:45:23,160 --> 00:45:26,520
Speaker 1: terrorism that we had on the radar, because most of

782
00:45:26,520 --> 00:45:29,000
Speaker 1: the terrorist plots that were either active or soon to

783
00:45:29,040 --> 00:45:35,279
Speaker 1: be active involved Islamic extremism. It's really straightforward. It's not

784
00:45:35,360 --> 00:45:40,120
Speaker 1: a complicated answer. It's not the result of some conspiracy.

785
00:45:40,400 --> 00:45:43,640
Speaker 1: And you know, we even would joke around when we're like, well,

786
00:45:43,719 --> 00:45:46,360
Speaker 1: we'll leave the you know, the socio political analysis of

787
00:45:46,400 --> 00:45:49,359
Speaker 1: someone else. We're just trying to stop people from Oh

788
00:45:49,400 --> 00:45:53,320
Speaker 1: that's right, blowing up Times Square, which an attempt happened

789
00:45:53,320 --> 00:45:55,439
Speaker 1: while I was working for the unit, as I've told you,

790
00:45:56,600 --> 00:46:00,799
Speaker 1: Or Naji Blazazi, who was of Afghan extraction, who tried

791
00:46:00,840 --> 00:46:02,920
Speaker 1: to build backpack bombs to blow up the subway, the

792
00:46:02,960 --> 00:46:05,880
Speaker 1: subway that I take every day twice a day along

793
00:46:05,920 --> 00:46:10,080
Speaker 1: with millions of my fellow New Yorkers that happened right

794
00:46:10,080 --> 00:46:13,640
Speaker 1: before I joined the unit. I can't tell you about

795
00:46:13,680 --> 00:46:19,960
Speaker 1: any similar plots from non Islamic extremists over my eighteen

796
00:46:19,960 --> 00:46:22,719
Speaker 1: months or so there. And I have friends who were

797
00:46:22,719 --> 00:46:24,160
Speaker 1: still in the unit. I friend whore in the unit

798
00:46:24,200 --> 00:46:28,319
Speaker 1: before I joined, They couldn't either. So what ends up

799
00:46:28,320 --> 00:46:30,279
Speaker 1: happening is you have this game that the a c

800
00:46:30,440 --> 00:46:32,680
Speaker 1: l U and the leftist media play with, Oh, you're

801
00:46:32,719 --> 00:46:35,000
Speaker 1: just picking on Muslims. Why are you picking on Muslims?

802
00:46:35,000 --> 00:46:37,640
Speaker 1: Why are all the and that they're goting you into

803
00:46:38,400 --> 00:46:40,880
Speaker 1: trying to answer the very straightforward question of why are

804
00:46:40,960 --> 00:46:43,040
Speaker 1: so many of your terrorism case why do so many

805
00:46:43,080 --> 00:46:47,799
Speaker 1: of your terrorism cases and YPD involve Muslims? And the

806
00:46:47,840 --> 00:46:52,520
Speaker 1: answer is when I was there, an overwhelming majority, I

807
00:46:52,560 --> 00:46:57,120
Speaker 1: shouldn't even see that. Almost entirely and without exception, every

808
00:46:57,239 --> 00:47:03,000
Speaker 1: serious terrorist plot or a secutable terrorist act that occurred

809
00:47:03,080 --> 00:47:07,200
Speaker 1: in the environs of New York City was under the

810
00:47:07,239 --> 00:47:12,560
Speaker 1: auspices of Islamic extremism, every single one. So what are

811
00:47:12,600 --> 00:47:14,400
Speaker 1: we you know, you started asking it, what are we

812
00:47:14,400 --> 00:47:17,160
Speaker 1: supposed to do about that? We're supposed to not not

813
00:47:17,320 --> 00:47:19,399
Speaker 1: investigate the guy that says that he wishes he could,

814
00:47:19,480 --> 00:47:22,680
Speaker 1: you know, murder all as this happened, murder all of

815
00:47:22,719 --> 00:47:26,560
Speaker 1: the Jews in the synagogue and Riverdale. I'm supposed to

816
00:47:26,600 --> 00:47:28,560
Speaker 1: supposed to let that guy go, or you know, the

817
00:47:28,560 --> 00:47:30,480
Speaker 1: the guy that wanted to plan a bomb in Harold

818
00:47:30,480 --> 00:47:32,719
Speaker 1: Square blow up as many people were supposed to just

819
00:47:32,800 --> 00:47:34,799
Speaker 1: let that guy go because you know, maybe he's just

820
00:47:34,880 --> 00:47:38,399
Speaker 1: talking and got too many Islamic extremism cases that we're

821
00:47:38,400 --> 00:47:40,200
Speaker 1: investigating right now. You know, we got we gotta get

822
00:47:40,239 --> 00:47:43,120
Speaker 1: some other stuff and give me some of those. Give

823
00:47:43,160 --> 00:47:46,040
Speaker 1: me some of those right wing anti abortion terrorists. Let's

824
00:47:46,040 --> 00:47:51,040
Speaker 1: investigate some of them. Well, if you know, if there

825
00:47:51,040 --> 00:47:54,439
Speaker 1: were plots of foot maybe we would have. But every

826
00:47:54,480 --> 00:47:56,200
Speaker 1: time I hear about that, Yeah, there was a guy

827
00:47:56,280 --> 00:47:58,560
Speaker 1: thirty thirty years ago, there was a guy who did that.

828
00:47:59,760 --> 00:48:03,319
Speaker 1: Why do we investigate more of those? It's either such

829
00:48:03,360 --> 00:48:06,680
Speaker 1: a dishonesty at the heart of this. There's notion that

830
00:48:06,760 --> 00:48:11,880
Speaker 1: it's uh, it's bias, or it's anti Muslim prejudice that

831
00:48:12,040 --> 00:48:15,520
Speaker 1: is directing the counter terrorism activities of a unit like

832
00:48:15,560 --> 00:48:18,400
Speaker 1: the NYPD, the unit that I know and worked in.

833
00:48:20,239 --> 00:48:22,799
Speaker 1: We're just handling the cases that come before us based

834
00:48:22,840 --> 00:48:25,480
Speaker 1: on the reality of the world around us. That was it.

835
00:48:26,440 --> 00:48:30,399
Speaker 1: And you see all these smug liberals and these just

836
00:48:31,160 --> 00:48:35,359
Speaker 1: these you know, spiteful journalists that would, oh, look at

837
00:48:35,360 --> 00:48:39,120
Speaker 1: what they're doing, and they're persecuting a community. And there

838
00:48:39,120 --> 00:48:41,719
Speaker 1: were all kinds of procedures in place to prevent any

839
00:48:41,760 --> 00:48:48,080
Speaker 1: abuse whatsoever. Um, the the unit was working within those guidelines.

840
00:48:48,120 --> 00:48:50,280
Speaker 1: We had lawyers, We had lawyers all over the place.

841
00:48:50,320 --> 00:48:52,960
Speaker 1: You know, did you is that where's the criminal predicate

842
00:48:53,080 --> 00:48:56,879
Speaker 1: for this? You know? Did you? I didn't even tell you. So, yeah,

843
00:48:57,000 --> 00:48:59,480
Speaker 1: they they settled this for seventy because they didn't do

844
00:48:59,480 --> 00:49:01,920
Speaker 1: anything wrong. They didn't admit any wrong doing. But it

845
00:49:02,000 --> 00:49:03,480
Speaker 1: just goes to show you this is a game the

846
00:49:03,600 --> 00:49:07,680
Speaker 1: Left likes to play. It plays to their base to

847
00:49:07,840 --> 00:49:10,719
Speaker 1: pretend that counter terrorism efforts are driven by prejudice and

848
00:49:10,800 --> 00:49:13,560
Speaker 1: not the reality, which is that most terrorism that we

849
00:49:13,640 --> 00:49:17,319
Speaker 1: have to worry about comes from Islamic extremist communities. That's it.

850
00:49:19,120 --> 00:49:21,560
Speaker 1: And if you're looking within Islamic extremist communities, you're going

851
00:49:21,600 --> 00:49:24,920
Speaker 1: to have more contact with just Muslims in general in

852
00:49:24,960 --> 00:49:28,960
Speaker 1: these investigations and efforts then you would non Muslims. This is.

853
00:49:29,120 --> 00:49:30,680
Speaker 1: I mean, I know I'm saying it to you and

854
00:49:30,680 --> 00:49:34,759
Speaker 1: it couldn't be more straightforward, but oh my gosh. If

855
00:49:34,800 --> 00:49:37,000
Speaker 1: I walked in the New York Times editorial board room

856
00:49:37,000 --> 00:49:39,399
Speaker 1: and said this stuff, they say, you know, they think

857
00:49:39,440 --> 00:49:43,400
Speaker 1: the building was on fire. And I'm just telling you

858
00:49:43,440 --> 00:49:47,120
Speaker 1: the facts, the straight up what was going on and

859
00:49:47,200 --> 00:49:52,799
Speaker 1: what is going on? But lawsuits, lawsuits, lawsuits. MSNBC. Oh,

860
00:49:53,000 --> 00:49:57,759
Speaker 1: surveillance of Muslims we had, we were so strapped for resources.

861
00:49:58,560 --> 00:50:00,480
Speaker 1: We're just trying to handle the case. Is that come

862
00:50:00,520 --> 00:50:02,120
Speaker 1: in that we're really worried about. Could end up in

863
00:50:02,160 --> 00:50:05,520
Speaker 1: a lot of people getting killed. Nobody was saying, yeah,

864
00:50:05,560 --> 00:50:07,960
Speaker 1: let's go harass some peaceful Muslims today. That sounds like

865
00:50:08,000 --> 00:50:09,640
Speaker 1: a good or a good way to spend our time.

866
00:50:10,480 --> 00:50:12,960
Speaker 1: And particularly the Muslims I was working with in the

867
00:50:13,040 --> 00:50:15,360
Speaker 1: unit weren't like, yeah, let's go harass Muslims because we

868
00:50:15,360 --> 00:50:21,160
Speaker 1: don't like them. Yeah. Nonetheless, lawsuit after lawsuit, New York

869
00:50:21,160 --> 00:50:23,799
Speaker 1: Times freaks out about it. All these different groups turn

870
00:50:23,840 --> 00:50:26,319
Speaker 1: on MSNBC. I'm sure they're high fiving each other if

871
00:50:26,320 --> 00:50:28,400
Speaker 1: they mentioned this story, which they probably won't because the

872
00:50:28,520 --> 00:50:30,000
Speaker 1: m I p D didn't admit any wrong doing, and

873
00:50:30,040 --> 00:50:32,279
Speaker 1: it was only seventy g s, which in terms of

874
00:50:32,320 --> 00:50:35,479
Speaker 1: a lawsuit of this kind, that's just like, let's let's

875
00:50:35,480 --> 00:50:38,120
Speaker 1: just stop. Okay, that's that's go away money. That's what

876
00:50:38,239 --> 00:50:41,200
Speaker 1: that is. I just don't ever forget what side of

877
00:50:41,239 --> 00:50:45,160
Speaker 1: this the left is on. Alright, I'm gonna roll. We

878
00:50:45,200 --> 00:50:49,360
Speaker 1: we got a Hillary talk coming up. Hello, Hillary is

879
00:50:49,360 --> 00:50:52,120
Speaker 1: gonna be joining us kind of in a sense. In

880
00:50:52,160 --> 00:50:54,239
Speaker 1: a few moments later on the show, we've got Derek

881
00:50:54,239 --> 00:50:59,160
Speaker 1: Scissors joining to discuss trying to tariff war stuff, trade

882
00:50:59,200 --> 00:51:03,560
Speaker 1: war lash, tariffs, Kim strassel on, Scott Pruett, who's getting

883
00:51:03,600 --> 00:51:06,960
Speaker 1: all kinds of press, all kinds of attention. We'll get

884
00:51:06,960 --> 00:51:09,319
Speaker 1: into that, and uh, basically it's just gonna be an

885
00:51:09,320 --> 00:51:11,319
Speaker 1: awesome show. So you've made it this far, you might

886
00:51:11,360 --> 00:51:21,120
Speaker 1: as well see it through. We'll be right back. So

887
00:51:21,320 --> 00:51:24,520
Speaker 1: I saw this report. I have a hard time understanding

888
00:51:24,520 --> 00:51:27,520
Speaker 1: how this could be the case, really, but this is

889
00:51:27,560 --> 00:51:31,440
Speaker 1: from the what it's the Kansas City Star says that

890
00:51:32,120 --> 00:51:38,560
Speaker 1: a third of college students are going hungry. That just

891
00:51:38,600 --> 00:51:41,440
Speaker 1: strikes me. How is that? How is that the case?

892
00:51:41,560 --> 00:51:43,520
Speaker 1: How is it that a third of college students are

893
00:51:43,560 --> 00:51:46,239
Speaker 1: going hungry when the biggest problem we have in this

894
00:51:46,280 --> 00:51:50,200
Speaker 1: country when it comes to food is actually clinical obesity.

895
00:51:50,400 --> 00:51:53,040
Speaker 1: And yet they're saying that college students. I mean, if

896
00:51:53,040 --> 00:51:56,120
Speaker 1: you're born, can't you borrow money for other expenses beyond

897
00:51:56,280 --> 00:51:59,080
Speaker 1: just the tuition? So I don't I don't understand this

898
00:51:59,160 --> 00:52:01,200
Speaker 1: as possible, cause I'm always looking at this and I'm

899
00:52:01,239 --> 00:52:03,880
Speaker 1: thinking to myself, you know, what are the ways that

900
00:52:03,920 --> 00:52:08,960
Speaker 1: we can be more of what's the word adaptive when

901
00:52:09,000 --> 00:52:12,640
Speaker 1: it comes to our educational system in this country. I

902
00:52:12,640 --> 00:52:14,719
Speaker 1: want to spend more time in education in general. Here

903
00:52:14,760 --> 00:52:16,520
Speaker 1: we we haven't talked about it much in a while.

904
00:52:17,160 --> 00:52:21,280
Speaker 1: I think I mentioned Betsy Divoce and how she she became.

905
00:52:21,440 --> 00:52:24,239
Speaker 1: You know, she she got kind of the assault, the

906
00:52:24,280 --> 00:52:27,120
Speaker 1: full leftist assault at one point, but then they moved,

907
00:52:27,160 --> 00:52:29,720
Speaker 1: you know, the eye of Soroon moved from Betsy Divoce

908
00:52:29,800 --> 00:52:32,640
Speaker 1: to Scott Pruett. We're talking about that with Kim Strasso

909
00:52:32,760 --> 00:52:35,880
Speaker 1: from The Wall Street Journal in the next hour. But

910
00:52:36,080 --> 00:52:37,839
Speaker 1: you know, here I look at this, I say, if

911
00:52:38,120 --> 00:52:42,319
Speaker 1: college students are so strapped that they are are going

912
00:52:42,520 --> 00:52:46,360
Speaker 1: hungry and and homeless as well, it says in this article,

913
00:52:48,000 --> 00:52:50,000
Speaker 1: then I don't understand why we would think that it's

914
00:52:50,000 --> 00:52:52,000
Speaker 1: a good idea for them to be going to college

915
00:52:52,000 --> 00:52:55,120
Speaker 1: in the first place. Here's what they say. At the

916
00:52:55,200 --> 00:52:58,000
Speaker 1: end of semester, we start recognizing students no longer have

917
00:52:58,040 --> 00:53:00,279
Speaker 1: food on their meal plans, or maybe their financial aid

918
00:53:00,400 --> 00:53:02,359
Speaker 1: is run out, or they have given up a job

919
00:53:02,400 --> 00:53:04,719
Speaker 1: so they can study, so they no longer have that income.

920
00:53:05,520 --> 00:53:08,920
Speaker 1: Not lost income could also impact housing. Nearly as many

921
00:53:08,920 --> 00:53:14,400
Speaker 1: of those who are food insecure don't have secure housing. Huh.

922
00:53:14,440 --> 00:53:16,080
Speaker 1: I'd have to have to look at this a little more.

923
00:53:16,160 --> 00:53:19,480
Speaker 1: It's it just strikes me as as not feasible. Men,

924
00:53:19,520 --> 00:53:21,319
Speaker 1: How is it that you could be borrowing I know

925
00:53:21,400 --> 00:53:24,960
Speaker 1: for basically any college student without It doesn't matter what

926
00:53:25,040 --> 00:53:27,879
Speaker 1: your background of payments to credit cards and everything else.

927
00:53:28,000 --> 00:53:32,080
Speaker 1: Anyone can borrow the money. So they're not borrowing enough.

928
00:53:32,400 --> 00:53:36,759
Speaker 1: I suppose that they can cover some additional expenses. Say

929
00:53:36,840 --> 00:53:42,520
Speaker 1: they said a nine percent of university students, we're fully homeless,

930
00:53:43,360 --> 00:53:49,239
Speaker 1: twelve per of community college students. You know, if the

931
00:53:49,400 --> 00:53:52,440
Speaker 1: financial situations that dire, wouldn't it be better to not

932
00:53:52,480 --> 00:53:56,239
Speaker 1: be in college and get a job, any job? Right?

933
00:53:56,440 --> 00:54:00,120
Speaker 1: That shakes me as and then try to transition an

934
00:54:00,160 --> 00:54:02,520
Speaker 1: India Community College once you've got a stable paying job

935
00:54:02,560 --> 00:54:05,360
Speaker 1: for a while, and I'm I'm trying to see that.

936
00:54:05,440 --> 00:54:08,640
Speaker 1: This just struck me as a little How is this

937
00:54:08,719 --> 00:54:12,000
Speaker 1: the case? Thirty six percent of university students at half

938
00:54:12,000 --> 00:54:16,000
Speaker 1: of community college students fit the category of housing insecure

939
00:54:16,080 --> 00:54:19,799
Speaker 1: in the past year. Well, what does that? What does

940
00:54:19,840 --> 00:54:23,239
Speaker 1: that mean? Um? Nearly as many as those who are

941
00:54:23,239 --> 00:54:28,080
Speaker 1: food and scared on includes those living in shelters, hotels, cars, tents,

942
00:54:28,200 --> 00:54:31,279
Speaker 1: or couch surfing at friends houses. Well, if you're couch

943
00:54:31,280 --> 00:54:34,799
Speaker 1: surfing at a friend's house, that's that doesn't strike me

944
00:54:34,840 --> 00:54:38,279
Speaker 1: as I mean, there were plenty of people I knew

945
00:54:38,320 --> 00:54:40,640
Speaker 1: in college who went through periods of time where especially

946
00:54:40,680 --> 00:54:42,480
Speaker 1: they'd like live on the first summer they live on

947
00:54:42,520 --> 00:54:45,000
Speaker 1: a I mean, heck, I had a crash on my

948
00:54:45,040 --> 00:54:48,919
Speaker 1: parents couch for a while as an adult, the whole

949
00:54:48,960 --> 00:54:51,600
Speaker 1: other story. So I don't I don't really get this, folks.

950
00:54:51,600 --> 00:54:53,279
Speaker 1: I gotta dig into this one some more. But my

951
00:54:53,280 --> 00:54:55,560
Speaker 1: my initial thought is, if you don't have money for food,

952
00:54:55,600 --> 00:54:57,960
Speaker 1: but you're paying money for tuition and you're an adult,

953
00:54:58,560 --> 00:55:01,759
Speaker 1: maybe work and think about college a little bit later.

954
00:55:02,480 --> 00:55:18,200
Speaker 1: We'll be right back. He's holding the line for America,

955
00:55:18,560 --> 00:55:21,200
Speaker 1: Buck sext in his back. I saw the stuff today

956
00:55:21,239 --> 00:55:24,000
Speaker 1: about the Rock running, and I have to tell you

957
00:55:24,760 --> 00:55:28,759
Speaker 1: that I've I've said it before. I don't know what

958
00:55:28,800 --> 00:55:31,160
Speaker 1: the rock is cooking. But but if in fact he,

959
00:55:31,520 --> 00:55:34,839
Speaker 1: I know, that was amazing, Buck, take a bow. Take

960
00:55:34,840 --> 00:55:38,320
Speaker 1: about if in fact that he even in fact he

961
00:55:38,320 --> 00:55:41,000
Speaker 1: did run. I think he would be a strong candidate.

962
00:55:41,719 --> 00:55:44,400
Speaker 1: And I know people feel like, oh, Buck, come on,

963
00:55:44,480 --> 00:55:48,040
Speaker 1: that's crazy. Are we really in a place now, my friends,

964
00:55:48,080 --> 00:55:52,040
Speaker 1: where we could say that anyone running for president is

965
00:55:52,080 --> 00:55:54,239
Speaker 1: outside the bounds of what we would expect. Have we

966
00:55:54,320 --> 00:55:59,160
Speaker 1: not learned any lessons yet? And on the one hand, uh,

967
00:55:59,280 --> 00:56:06,240
Speaker 1: we have the continued appearances of powering who was supposed

968
00:56:06,320 --> 00:56:09,160
Speaker 1: to be the president was not the president, saying stuff

969
00:56:09,200 --> 00:56:13,480
Speaker 1: out there, including that she is partly responsible for the

970
00:56:13,600 --> 00:56:18,360
Speaker 1: meat too or note yes, I'm sorry. Her loss accelerated

971
00:56:19,239 --> 00:56:22,160
Speaker 1: the me too movement place. I believe that it was

972
00:56:22,400 --> 00:56:26,279
Speaker 1: a wave that was building and building and building. I

973
00:56:26,360 --> 00:56:31,759
Speaker 1: think my losing probably accelerated that wave, but the wave

974
00:56:32,000 --> 00:56:35,640
Speaker 1: was coming. They're having that moment right now in Northern

975
00:56:35,680 --> 00:56:39,560
Speaker 1: Ireland and the Republic of Ireland, and there's a referendum

976
00:56:39,640 --> 00:56:44,280
Speaker 1: about loosening abortion restrictions in the Republic of Ireland, which

977
00:56:44,400 --> 00:56:47,720
Speaker 1: is part of the overall wave that I'm talking about,

978
00:56:47,760 --> 00:56:52,200
Speaker 1: people saying, you know, women not only should speak up

979
00:56:52,280 --> 00:56:55,279
Speaker 1: of them be heard, but laws need to change. And

980
00:56:55,800 --> 00:56:58,279
Speaker 1: you know, this is not just an American phenomenon, this

981
00:56:58,400 --> 00:57:03,399
Speaker 1: is a global one. And wow, there's a lot going

982
00:57:03,440 --> 00:57:06,840
Speaker 1: on there. Like, for one, Hillary now thinks that abortion

983
00:57:06,920 --> 00:57:08,600
Speaker 1: for all nine months of a pregnancy as part of

984
00:57:08,640 --> 00:57:10,879
Speaker 1: the me too movement. That's new. I had never heard

985
00:57:10,920 --> 00:57:14,160
Speaker 1: anyone said that before. I will leave that aside because

986
00:57:14,160 --> 00:57:16,400
Speaker 1: that is a very serious topic, but you know how

987
00:57:16,440 --> 00:57:19,840
Speaker 1: I feel about that. But just returning to the notion

988
00:57:19,880 --> 00:57:26,480
Speaker 1: of how Hillary is a form of psychotic sollipsism. She

989
00:57:26,600 --> 00:57:30,680
Speaker 1: really believes that what's going on around the world is

990
00:57:30,720 --> 00:57:38,080
Speaker 1: a direct result of her pathetically inept political campaign to

991
00:57:38,080 --> 00:57:41,200
Speaker 1: be president United States. And she won't stop, she won't

992
00:57:41,240 --> 00:57:44,760
Speaker 1: go away. It's amazing, isn't it. Does she really think

993
00:57:44,800 --> 00:57:46,520
Speaker 1: we need her? You know? I sometimes talk about Larry

994
00:57:46,640 --> 00:57:48,880
Speaker 1: King and wants to come back into the game, you know,

995
00:57:48,920 --> 00:57:51,680
Speaker 1: the whole thing, and and how someone needs like Larry's

996
00:57:51,680 --> 00:57:53,560
Speaker 1: handlers need to be like Larry. It's okay, you know,

997
00:57:54,400 --> 00:57:56,800
Speaker 1: hang out, hang out in Malibu. You know the beach

998
00:57:56,880 --> 00:57:58,920
Speaker 1: is lovely. You don't you don't need to do this anymore.

999
00:57:58,960 --> 00:58:00,840
Speaker 1: There's other things you could turn your attention to get

1000
00:58:00,840 --> 00:58:04,240
Speaker 1: a long run. With Hillary, she's she doesn't know what

1001
00:58:04,280 --> 00:58:06,920
Speaker 1: to do with herself unless she's has a microphone or

1002
00:58:06,960 --> 00:58:12,560
Speaker 1: a camera and get to just wax philosophical about everything,

1003
00:58:13,440 --> 00:58:15,640
Speaker 1: because that's the way that she likes to be she

1004
00:58:16,360 --> 00:58:18,760
Speaker 1: I guess otherwise she'd have to deal with you know,

1005
00:58:19,080 --> 00:58:22,720
Speaker 1: what is this whole situation with Bill? What has she

1006
00:58:22,840 --> 00:58:26,640
Speaker 1: actually done with with herself as as a politician? What

1007
00:58:26,920 --> 00:58:30,160
Speaker 1: you know is she as you move beyond the the

1008
00:58:30,200 --> 00:58:33,560
Speaker 1: thrill of trying to win in politics, I feel like

1009
00:58:33,600 --> 00:58:36,600
Speaker 1: the natural progression would be what have I done for Pete?

1010
00:58:36,640 --> 00:58:38,479
Speaker 1: Have I? Have it been good? Now, you might say, Buck,

1011
00:58:38,520 --> 00:58:41,240
Speaker 1: she's a narcissist. She's gonna think what she's done is amazing. Maybe,

1012
00:58:42,000 --> 00:58:43,680
Speaker 1: but maybe there's a part of her that feels like

1013
00:58:43,880 --> 00:58:49,080
Speaker 1: there would be a a terror late at night that

1014
00:58:49,120 --> 00:58:53,840
Speaker 1: would overtake her mind in thinking of what she's really

1015
00:58:53,840 --> 00:58:56,440
Speaker 1: stood for and what her contribution to public life has been.

1016
00:58:56,960 --> 00:58:59,240
Speaker 1: Whether you think that that's a fair assessment of her

1017
00:58:59,240 --> 00:59:01,240
Speaker 1: public life or not irrelevant. I just think that she

1018
00:59:01,320 --> 00:59:06,720
Speaker 1: might have she might have some some interesting and dark

1019
00:59:06,800 --> 00:59:09,160
Speaker 1: moments ahead where she looks back on the solid So

1020
00:59:09,200 --> 00:59:11,720
Speaker 1: it's easier to throw herself into the fray in the mix,

1021
00:59:11,760 --> 00:59:13,440
Speaker 1: and you know, just keep on talking about how she

1022
00:59:13,680 --> 00:59:17,760
Speaker 1: was the first female candidate. Report is well, of course

1023
00:59:17,800 --> 00:59:21,640
Speaker 1: I vote for a woman, just not that woman, meaning me. Um.

1024
00:59:21,760 --> 00:59:24,040
Speaker 1: I don't know. It's really interesting. And as soon as

1025
00:59:24,040 --> 00:59:28,080
Speaker 1: that election happened, you could just see the press, particularly

1026
00:59:28,120 --> 00:59:32,000
Speaker 1: the right way press and Republicans turn on people like

1027
00:59:32,080 --> 00:59:35,640
Speaker 1: Elizabeth Warren and Kamala Harris, and all of a sudden,

1028
00:59:36,160 --> 00:59:40,000
Speaker 1: they were the ones being criticized for speaking out of

1029
00:59:40,120 --> 00:59:45,040
Speaker 1: turn speaking up, being shrilled, being aggressive, you know, all

1030
00:59:45,080 --> 00:59:48,480
Speaker 1: the words meant to put down women. So this is

1031
00:59:48,520 --> 00:59:52,520
Speaker 1: an ongoing challenge that we have to come to grips with.

1032
00:59:53,640 --> 01:00:00,080
Speaker 1: Here lost because women were being mistreated. That's what you

1033
01:00:00,120 --> 01:00:03,240
Speaker 1: sang here, Hillary, You know the song, Uh what is it?

1034
01:00:03,520 --> 01:00:08,440
Speaker 1: Uh Winney Houston. I'm every woman, right, That's that's Hillary's approach.

1035
01:00:08,560 --> 01:00:12,960
Speaker 1: She's every woman. That the fate of all womankind was

1036
01:00:13,000 --> 01:00:17,120
Speaker 1: tied up in Hillary's election, which remember, for Hillary to

1037
01:00:17,160 --> 01:00:19,440
Speaker 1: be elected, they had to not charge her with federal

1038
01:00:19,440 --> 01:00:21,840
Speaker 1: felonies that she committed, and they had to ignore the

1039
01:00:21,840 --> 01:00:24,560
Speaker 1: fact that she ran the biggest graph and influenced peddling

1040
01:00:24,600 --> 01:00:28,320
Speaker 1: scheme the Planner has ever seen or influenced pdling. Forget graph.

1041
01:00:28,440 --> 01:00:46,080
Speaker 1: We'll be right back. Team, Stay with me. Many years

1042
01:00:46,280 --> 01:00:53,200
Speaker 1: no president wanted to go against China economically, and we're

1043
01:00:53,200 --> 01:00:56,800
Speaker 1: going to do it. We had a trade deficit of

1044
01:00:56,840 --> 01:01:02,520
Speaker 1: almost five hundred billion dollars last here with China. And

1045
01:01:02,600 --> 01:01:06,920
Speaker 1: I have great respect for the President of China. President

1046
01:01:07,000 --> 01:01:10,120
Speaker 1: She he's a friend of mine and I'm a friend

1047
01:01:10,120 --> 01:01:11,760
Speaker 1: of his that I like him a lot. But he's

1048
01:01:11,800 --> 01:01:16,160
Speaker 1: representing China and I'm representing the United States of America,

1049
01:01:16,320 --> 01:01:18,320
Speaker 1: and it was time that we did something. We can't

1050
01:01:18,360 --> 01:01:22,280
Speaker 1: continue to allow this to happen, where hundreds of billions

1051
01:01:22,280 --> 01:01:25,160
Speaker 1: of dollars has taken out of our country and our system.

1052
01:01:25,600 --> 01:01:29,520
Speaker 1: Huge focus right now of the administration trade and specifically

1053
01:01:29,760 --> 01:01:33,600
Speaker 1: China and NAFTA gave us a real sense of what's

1054
01:01:33,600 --> 01:01:35,280
Speaker 1: going on here and what we all need to know

1055
01:01:35,360 --> 01:01:37,640
Speaker 1: about it. We've got Derek Scissors on the line. He's

1056
01:01:37,640 --> 01:01:41,000
Speaker 1: a resident scholar at the American Enterprise Institute. He focuses

1057
01:01:41,000 --> 01:01:42,880
Speaker 1: on the Chinese and Indian economies, but it's just a

1058
01:01:42,920 --> 01:01:46,240
Speaker 1: general trade expert. Derek Rate to have you back. Yeah,

1059
01:01:46,240 --> 01:01:47,760
Speaker 1: I'm glad to be back. Thanks for inviting me. So

1060
01:01:47,880 --> 01:01:50,640
Speaker 1: let's just get into we're gonna China and after which

1061
01:01:50,680 --> 01:01:52,280
Speaker 1: I know we could do a whole three hour shows

1062
01:01:52,320 --> 01:01:54,840
Speaker 1: on just those topics, but we'll go through them quickly

1063
01:01:54,880 --> 01:01:57,440
Speaker 1: and just focus on what the folks need to know.

1064
01:01:58,080 --> 01:02:01,920
Speaker 1: China is now retaliating, the talking about putting more tariffs

1065
01:02:01,960 --> 01:02:05,640
Speaker 1: on more US goods. People are saying, well, this is escalating,

1066
01:02:05,640 --> 01:02:07,920
Speaker 1: it's getting worse, It's getting worse. Is there still a

1067
01:02:07,920 --> 01:02:11,040
Speaker 1: bit of exaggeration and hysteria here? Are you concerned about

1068
01:02:11,040 --> 01:02:14,480
Speaker 1: the direction of U. S Trade relations with China? I

1069
01:02:14,520 --> 01:02:18,200
Speaker 1: think there's still some exaggeration going on. UM. I think

1070
01:02:18,200 --> 01:02:20,800
Speaker 1: the President is right and the administration is right when

1071
01:02:20,800 --> 01:02:23,640
Speaker 1: they say Chinese China has been hurting the United States

1072
01:02:23,640 --> 01:02:27,040
Speaker 1: through its trade practices. UM. For a long time, we

1073
01:02:27,080 --> 01:02:29,320
Speaker 1: didn't have a lot of hysteria about that. The hysteria

1074
01:02:29,400 --> 01:02:31,520
Speaker 1: seems to have started when the U. S retaliated. Now

1075
01:02:31,600 --> 01:02:33,800
Speaker 1: I'm not saying the U. S retaliation is perfect, it's not,

1076
01:02:34,400 --> 01:02:36,439
Speaker 1: but it's it's a little weird that we've had bad

1077
01:02:36,520 --> 01:02:39,400
Speaker 1: Chinese trade practices for years and years, the US does

1078
01:02:39,440 --> 01:02:42,160
Speaker 1: something about it, and now there's a big problem. The problem,

1079
01:02:42,200 --> 01:02:45,560
Speaker 1: as the President has said, existed long before the US

1080
01:02:45,760 --> 01:02:48,560
Speaker 1: tariffs were announced. And I think one one issue that

1081
01:02:48,640 --> 01:02:50,680
Speaker 1: comes up, at least for those who are trying to

1082
01:02:50,720 --> 01:02:54,840
Speaker 1: get a sense of why there's such a near consensus.

1083
01:02:54,880 --> 01:02:57,240
Speaker 1: It feels like, at least a media consensus about how

1084
01:02:57,520 --> 01:03:01,480
Speaker 1: how self evidently bad any kind of tariffs are. If

1085
01:03:01,480 --> 01:03:04,200
Speaker 1: there's such a terrible idea, so self defeating, why would

1086
01:03:04,280 --> 01:03:07,280
Speaker 1: China have had them in place for so long and

1087
01:03:07,400 --> 01:03:10,400
Speaker 1: had such growth. Well, China has done a lot of things,

1088
01:03:10,400 --> 01:03:12,960
Speaker 1: not just tariffs. So you know, one of the ways

1089
01:03:12,960 --> 01:03:16,320
Speaker 1: you would overcome let's say, tariff on imported cars as

1090
01:03:16,440 --> 01:03:18,560
Speaker 1: you steal the technology for foreign cars and then you

1091
01:03:18,600 --> 01:03:21,120
Speaker 1: make them at home. Um, so your people still get

1092
01:03:21,120 --> 01:03:24,120
Speaker 1: the cheap cars, they just don't get the foreign cars cheaply. Uh.

1093
01:03:24,160 --> 01:03:27,760
Speaker 1: So you can overcome tariffs. No problem with other policies,

1094
01:03:27,760 --> 01:03:30,200
Speaker 1: whether they're good or bad. I've said many times I'm

1095
01:03:30,240 --> 01:03:33,040
Speaker 1: a trade expert, but tax reform is more important than

1096
01:03:33,080 --> 01:03:36,920
Speaker 1: trade for the United States. Um. Now, the reason why

1097
01:03:36,920 --> 01:03:39,600
Speaker 1: tariffs are bad, worse in the US than most countries.

1098
01:03:39,680 --> 01:03:42,120
Speaker 1: Is we really value our consumers are there buying power.

1099
01:03:42,200 --> 01:03:45,320
Speaker 1: We don't want goods to become more expensive. So tariffs

1100
01:03:45,360 --> 01:03:48,840
Speaker 1: absolutely should be a last resort. But the last resort

1101
01:03:48,920 --> 01:03:51,160
Speaker 1: sometimes gets reached. And when we're dealing with it with

1102
01:03:51,240 --> 01:03:53,800
Speaker 1: a bad trade partner, which was what China is, and

1103
01:03:53,840 --> 01:03:56,680
Speaker 1: it's a big trade partner, is not some small country. Um,

1104
01:03:56,800 --> 01:03:58,480
Speaker 1: you have to you have to do things you don't

1105
01:03:58,480 --> 01:03:59,960
Speaker 1: really want to do because you're trying to get the

1106
01:04:00,040 --> 01:04:01,760
Speaker 1: to change their bad behavior. They're not going to do

1107
01:04:01,800 --> 01:04:04,520
Speaker 1: it just by talking to them. What is the what

1108
01:04:04,680 --> 01:04:07,320
Speaker 1: is the future? What does it look like when we

1109
01:04:07,360 --> 01:04:11,680
Speaker 1: would uh be concerned? Derek Iman? How how can we

1110
01:04:11,760 --> 01:04:14,560
Speaker 1: kind of put in place now some sense of of

1111
01:04:14,640 --> 01:04:18,160
Speaker 1: what the metrics would be for Okay, this US China

1112
01:04:18,400 --> 01:04:21,160
Speaker 1: trade war whatever people want to call about. Right the

1113
01:04:21,160 --> 01:04:23,040
Speaker 1: back and forth over tariffs, I guess people will say

1114
01:04:23,040 --> 01:04:24,960
Speaker 1: it's a trade war. Uh, it's something to really be

1115
01:04:25,000 --> 01:04:27,880
Speaker 1: concerned about. When do we cross that threshold or is

1116
01:04:27,920 --> 01:04:31,520
Speaker 1: it even possible? Really you can I mean yester time,

1117
01:04:31,520 --> 01:04:33,520
Speaker 1: I have a big trade relationship if you include both

1118
01:04:33,520 --> 01:04:36,680
Speaker 1: goods and services. Last year, trade volume was over seven

1119
01:04:36,880 --> 01:04:40,800
Speaker 1: billion dollars UM. That's you know, close to a quarter

1120
01:04:40,880 --> 01:04:45,160
Speaker 1: of total US trade UM. But I would I, you know,

1121
01:04:45,280 --> 01:04:47,560
Speaker 1: if we really got into it where we're putting we're

1122
01:04:47,560 --> 01:04:49,600
Speaker 1: in the hundreds of billions of dollars, are goods effected,

1123
01:04:49,640 --> 01:04:52,160
Speaker 1: not the tens of billions. That's one way to get worried.

1124
01:04:52,600 --> 01:04:55,040
Speaker 1: Another way is if it if it branches out beyond trade.

1125
01:04:55,400 --> 01:04:59,440
Speaker 1: In other words, if we started a trade uh battle,

1126
01:04:59,560 --> 01:05:02,360
Speaker 1: and then you know, China is talking about, oh, we're

1127
01:05:02,360 --> 01:05:04,640
Speaker 1: going to change our currency policy, and the US is

1128
01:05:04,680 --> 01:05:06,520
Speaker 1: talking about, oh, you know, we're gonna start kicking Chinese

1129
01:05:06,520 --> 01:05:09,280
Speaker 1: students out of the country, and that those that tells

1130
01:05:09,320 --> 01:05:12,400
Speaker 1: you things have gotten out of control. UM. The US

1131
01:05:12,440 --> 01:05:14,840
Speaker 1: trade last year was two point nine trillion dollars for all,

1132
01:05:14,920 --> 01:05:17,160
Speaker 1: for all goods and services, you're talking about fifty billion dollars.

1133
01:05:17,160 --> 01:05:18,960
Speaker 1: A hundred million dollars doesn't matter that much. So you

1134
01:05:19,000 --> 01:05:21,880
Speaker 1: could get a lot more trade, or we could move

1135
01:05:21,920 --> 01:05:24,280
Speaker 1: beyond trade. And that's when I would start to worry.

1136
01:05:24,400 --> 01:05:27,000
Speaker 1: We're speaking to Derek scizzor. SE's a resident scholar with

1137
01:05:27,040 --> 01:05:29,720
Speaker 1: American Enterprise Institute as a trade expert. All right, Derek,

1138
01:05:29,800 --> 01:05:32,120
Speaker 1: now for folks listening. You know, we we hear NAFTA

1139
01:05:32,160 --> 01:05:34,880
Speaker 1: a lot. We're all familiar with what it is. You know,

1140
01:05:34,920 --> 01:05:38,160
Speaker 1: North American Free Trade Agreement. Okay, great? What what was

1141
01:05:38,200 --> 01:05:41,080
Speaker 1: it intended to do at the time of inception? What

1142
01:05:41,120 --> 01:05:44,959
Speaker 1: was the purpose of NAFTA? Uh? You know, of course

1143
01:05:45,000 --> 01:05:47,120
Speaker 1: the people who worked on it, which were in the

1144
01:05:47,160 --> 01:05:50,360
Speaker 1: in the Clinton administration, the first Bush administration, the older

1145
01:05:50,400 --> 01:05:52,800
Speaker 1: President Bush and then the Clinton administration, are going to

1146
01:05:52,880 --> 01:05:56,000
Speaker 1: tell you different things now than they did years ago.

1147
01:05:56,520 --> 01:05:58,600
Speaker 1: But I mean what I would say as the purpose was,

1148
01:05:58,920 --> 01:06:03,600
Speaker 1: we thought, um, let's have an integrated area which is

1149
01:06:03,600 --> 01:06:06,280
Speaker 1: bigger the UNITEDS. Yeah, I state isn't is an integrated economy.

1150
01:06:06,280 --> 01:06:08,360
Speaker 1: Obviously we all use the dollar. You know, you can

1151
01:06:08,400 --> 01:06:11,000
Speaker 1: go from state to state, doesn't matter. We wanted to

1152
01:06:11,040 --> 01:06:14,200
Speaker 1: do that, not politically, not for citizenship, but for economically,

1153
01:06:14,360 --> 01:06:17,280
Speaker 1: for a larger area so that we could sell the

1154
01:06:17,360 --> 01:06:20,680
Speaker 1: more people produce more. And in particular because we already

1155
01:06:20,680 --> 01:06:22,960
Speaker 1: had a free train agreement with Canada dating back to

1156
01:06:23,000 --> 01:06:26,400
Speaker 1: the nineteen eighties. Sorry, yeah, the nineteen eighties. We wanted

1157
01:06:26,960 --> 01:06:30,280
Speaker 1: uh Mexico to become a richer country and if that

1158
01:06:30,320 --> 01:06:31,800
Speaker 1: had worked, it would have solved a lot of problems.

1159
01:06:31,840 --> 01:06:35,040
Speaker 1: Or richer Mexico means less illegal immigration, A richer Mexico

1160
01:06:35,120 --> 01:06:38,080
Speaker 1: buys more US goods. And the idea was bringing the

1161
01:06:38,400 --> 01:06:41,720
Speaker 1: Mexico closer to the American economy would make Mexico richer,

1162
01:06:41,800 --> 01:06:44,600
Speaker 1: more stable, a better partner. That I think was the goal.

1163
01:06:45,720 --> 01:06:49,360
Speaker 1: How we deal with the goal, Well, I mean, you know,

1164
01:06:49,880 --> 01:06:52,800
Speaker 1: people don't remember that far back the Mexico has had

1165
01:06:52,840 --> 01:06:54,840
Speaker 1: debt crisis. They you know, they're coming up to an

1166
01:06:54,880 --> 01:06:57,040
Speaker 1: election and everyone's worried about the results of the election. Well,

1167
01:06:57,080 --> 01:06:59,040
Speaker 1: they used to be a dictatorship. Um. They used to

1168
01:06:59,040 --> 01:07:00,800
Speaker 1: have a lot more state owners up of their economy

1169
01:07:00,880 --> 01:07:04,560
Speaker 1: than they do now. Um. So some parts of the

1170
01:07:04,560 --> 01:07:06,880
Speaker 1: goal have been achieved, and I think when people get

1171
01:07:06,960 --> 01:07:09,800
Speaker 1: angry at NAFTA, they may not remember what Mexico was like,

1172
01:07:12,000 --> 01:07:13,880
Speaker 1: but other parts clearly haven't. I mean, we still have

1173
01:07:13,920 --> 01:07:17,320
Speaker 1: an illegal immigration problem. The Mexican economy right now is

1174
01:07:17,360 --> 01:07:19,800
Speaker 1: not very growing very quickly at all. And I think

1175
01:07:19,800 --> 01:07:22,640
Speaker 1: the lesson there is people should not over promise on

1176
01:07:22,720 --> 01:07:25,240
Speaker 1: trade agreements. The the idea of the trade deal with

1177
01:07:25,320 --> 01:07:28,000
Speaker 1: Mexico was to help. It wasn't going to solve the problem.

1178
01:07:28,000 --> 01:07:30,560
Speaker 1: We were going to still have problems in Mexico and

1179
01:07:30,600 --> 01:07:33,480
Speaker 1: in U S. Mexico relations. And if we upgrade NAFTA,

1180
01:07:33,560 --> 01:07:35,400
Speaker 1: we make it better, which is what I hope. We're

1181
01:07:35,400 --> 01:07:37,920
Speaker 1: still gonna have those problems. It's not a solution, it's

1182
01:07:38,000 --> 01:07:40,120
Speaker 1: it's just part of a solution. Now. The President has

1183
01:07:40,160 --> 01:07:42,560
Speaker 1: been very clear that on NAFTA he says, you know,

1184
01:07:42,680 --> 01:07:46,720
Speaker 1: bad deal, terrible deals things. Now he is prone to

1185
01:07:47,760 --> 01:07:50,800
Speaker 1: uh to go and you know, strongly in one direction

1186
01:07:50,840 --> 01:07:52,760
Speaker 1: with his assessments of these things. I think that's one

1187
01:07:52,800 --> 01:07:55,760
Speaker 1: way to say it. But what what is a problem

1188
01:07:56,400 --> 01:07:58,680
Speaker 1: with the NAFTA agreement as it stands? Now? Where does

1189
01:07:58,800 --> 01:08:02,760
Speaker 1: NAFTA fail to to be something that today people could

1190
01:08:02,760 --> 01:08:05,919
Speaker 1: look at and say, yeah, this is a good idea. Well,

1191
01:08:06,000 --> 01:08:08,280
Speaker 1: I have a different view of NAFTA than the President does.

1192
01:08:08,880 --> 01:08:11,240
Speaker 1: He and I have some similar views on China, but

1193
01:08:11,240 --> 01:08:14,560
Speaker 1: but not on NAFTA. So, um, what I would like

1194
01:08:14,600 --> 01:08:17,920
Speaker 1: to do is update NAFTA. Uh, you know, NAFTA when

1195
01:08:17,960 --> 01:08:21,240
Speaker 1: in effect in n we have a whole area of

1196
01:08:21,320 --> 01:08:24,320
Speaker 1: digital commerce now where people buy things online. The US

1197
01:08:24,439 --> 01:08:26,840
Speaker 1: is very good at that. That would be you know,

1198
01:08:26,880 --> 01:08:30,000
Speaker 1: to have a NAFTA covering digital commerce and open Mexico

1199
01:08:30,080 --> 01:08:32,400
Speaker 1: up to US digital commerce. You know, people, it's not

1200
01:08:32,479 --> 01:08:36,680
Speaker 1: just nerds, I mean everybody sells digitally. Uh. So I

1201
01:08:36,720 --> 01:08:38,800
Speaker 1: think that's a benefit to the American economy. I think

1202
01:08:38,800 --> 01:08:41,120
Speaker 1: there's you know, plenty of other ways to upgrade NAFTA

1203
01:08:41,200 --> 01:08:44,760
Speaker 1: and and in both Mexican and US interest. Um. I

1204
01:08:44,800 --> 01:08:47,360
Speaker 1: think a lot of the problems with NAFTA might stem

1205
01:08:47,400 --> 01:08:51,360
Speaker 1: from immigration, where people are upset with the Mexican government,

1206
01:08:51,560 --> 01:08:55,040
Speaker 1: uh and the US government frankly for for illegal immigration.

1207
01:08:55,200 --> 01:08:58,240
Speaker 1: Illegal immigration is good. Illegal immigration is breaking the law,

1208
01:08:58,840 --> 01:09:01,120
Speaker 1: and we're not going to solve that with an upgraded NAFTA.

1209
01:09:01,280 --> 01:09:03,840
Speaker 1: So I think people part of the suspicion of NAFTA

1210
01:09:03,880 --> 01:09:06,840
Speaker 1: comes on the immigration side. And my answer to that is, look,

1211
01:09:06,920 --> 01:09:08,559
Speaker 1: I think we should upgrade NAFTA. I think it will

1212
01:09:08,560 --> 01:09:10,479
Speaker 1: benefit the United States, but it's not going to solve

1213
01:09:10,560 --> 01:09:13,160
Speaker 1: the illegal immigration problem. What would happen if Trump just

1214
01:09:13,160 --> 01:09:15,639
Speaker 1: just theoretically, just so I can understand this, if Trump

1215
01:09:15,680 --> 01:09:17,400
Speaker 1: was just like, you know what, we're gonna scrap NAFTA

1216
01:09:17,560 --> 01:09:23,040
Speaker 1: no more, Well, I mean, uh what what here's the

1217
01:09:23,040 --> 01:09:25,200
Speaker 1: problem with that? I think that's all loss and no

1218
01:09:25,320 --> 01:09:27,280
Speaker 1: gains to the United States and I'll explain why that

1219
01:09:27,439 --> 01:09:30,360
Speaker 1: that's it's not I'm not trying to exaggerate here. Um,

1220
01:09:30,400 --> 01:09:33,639
Speaker 1: if we scrap NAFTA, we can sell less to Mexico,

1221
01:09:33,680 --> 01:09:35,160
Speaker 1: and we can sell less to Canada. And there are

1222
01:09:35,160 --> 01:09:38,280
Speaker 1: second and third largest partners, and Canada is our largest

1223
01:09:38,280 --> 01:09:41,000
Speaker 1: export partner ahead of China. China's our largest partner overall,

1224
01:09:41,000 --> 01:09:43,080
Speaker 1: but that's mostly because they sell to us. So we're

1225
01:09:43,160 --> 01:09:45,120
Speaker 1: we're we're messing with trade with our second and third

1226
01:09:45,200 --> 01:09:47,760
Speaker 1: largest trade partners. Now, there are people, plenty of people

1227
01:09:47,760 --> 01:09:49,920
Speaker 1: who are gonna say, well, good, we'll produce more goods here,

1228
01:09:50,200 --> 01:09:52,040
Speaker 1: but that's not what's going to happen. I mean, if

1229
01:09:52,080 --> 01:09:54,439
Speaker 1: we if we get into a fight with Mexico and Canada,

1230
01:09:54,479 --> 01:09:56,719
Speaker 1: we're just gonna be end up importing more from China.

1231
01:09:57,080 --> 01:09:58,599
Speaker 1: And then if we get into a fight with China too,

1232
01:09:58,600 --> 01:10:00,479
Speaker 1: we could end up importing more from an Nisia or

1233
01:10:00,520 --> 01:10:04,800
Speaker 1: India or Italy. I'm making of countries that begin with I. Um,

1234
01:10:05,240 --> 01:10:08,320
Speaker 1: you don't get anywhere picking on one trade partner. If

1235
01:10:08,320 --> 01:10:10,360
Speaker 1: you if you really don't like trade, you really got

1236
01:10:10,360 --> 01:10:12,680
Speaker 1: to go after them all because if you just if

1237
01:10:12,680 --> 01:10:15,080
Speaker 1: you just cut off Mexico, for example, someone else is

1238
01:10:15,120 --> 01:10:17,679
Speaker 1: going to supply what's being made in Mexico right now,

1239
01:10:17,720 --> 01:10:19,040
Speaker 1: and all that's going to happen to the U S

1240
01:10:19,120 --> 01:10:21,360
Speaker 1: is that we get to sell lest to Mexico. So

1241
01:10:21,560 --> 01:10:24,559
Speaker 1: just breaking NAFTA is to me, it's just a complete

1242
01:10:24,600 --> 01:10:27,840
Speaker 1: negative for the United States because other countries will just

1243
01:10:27,880 --> 01:10:31,280
Speaker 1: replace Canada and Mexico in sending goods to you to US,

1244
01:10:31,280 --> 01:10:32,760
Speaker 1: and we will not be able to sell as much

1245
01:10:32,800 --> 01:10:35,280
Speaker 1: to Canada and Mexico. Did you think that much of

1246
01:10:35,320 --> 01:10:38,360
Speaker 1: the President's are about NAFTA has to do really with

1247
01:10:38,439 --> 01:10:41,479
Speaker 1: getting leverage for immigration discussions or what do you think

1248
01:10:41,520 --> 01:10:45,080
Speaker 1: his game planet? Yeah, And the President very clearly has

1249
01:10:45,080 --> 01:10:48,000
Speaker 1: a style. It makes perfect sense as a businessman, and

1250
01:10:48,040 --> 01:10:50,599
Speaker 1: you know he was elected with this style. So, um,

1251
01:10:50,880 --> 01:10:53,320
Speaker 1: I think he's being honest in his behavior in the

1252
01:10:53,360 --> 01:10:55,120
Speaker 1: sense that this is this is who he is, and

1253
01:10:55,160 --> 01:10:57,280
Speaker 1: he didn't try to hide it. He likes to yell

1254
01:10:57,320 --> 01:11:00,760
Speaker 1: and scream and threaten and and see how people react. Um,

1255
01:11:00,800 --> 01:11:02,360
Speaker 1: he did that with South Korea. We were going to

1256
01:11:02,439 --> 01:11:05,160
Speaker 1: cancel the US Career Free trade Agreement, and then you know,

1257
01:11:05,160 --> 01:11:06,760
Speaker 1: we got some concessions out of it, and now we're

1258
01:11:06,800 --> 01:11:08,559
Speaker 1: not going to cancel it. He's trying to do that

1259
01:11:08,600 --> 01:11:10,400
Speaker 1: with China in my opinion, he's trying to do it

1260
01:11:10,439 --> 01:11:13,280
Speaker 1: with NAFTA in my opinion. UM, I don't you know,

1261
01:11:13,280 --> 01:11:15,280
Speaker 1: I don't see Mexico as a bad trade partner. I

1262
01:11:15,479 --> 01:11:17,479
Speaker 1: kind of see them as bad immigration partner and I

1263
01:11:17,520 --> 01:11:19,040
Speaker 1: as a bad trade partner, so I don't really want

1264
01:11:19,040 --> 01:11:21,200
Speaker 1: to threaten them. I I do see China's a bad

1265
01:11:21,240 --> 01:11:23,280
Speaker 1: trade partner, so I agree with it there. But the

1266
01:11:23,280 --> 01:11:25,639
Speaker 1: President is being consistent across these issues because that's who

1267
01:11:25,680 --> 01:11:28,960
Speaker 1: he is. I don't you know, he either wants to

1268
01:11:29,000 --> 01:11:32,080
Speaker 1: trade trade concessions or he wants immigration concessions. I don't

1269
01:11:32,120 --> 01:11:36,120
Speaker 1: know that he's necessarily expecting both. But I think the

1270
01:11:36,200 --> 01:11:38,360
Speaker 1: rhetoric is, look, you need to give me something because

1271
01:11:38,400 --> 01:11:40,120
Speaker 1: I don't like the way things are now. And if

1272
01:11:40,160 --> 01:11:41,880
Speaker 1: you're not gonna give me anything, then I'm going to

1273
01:11:41,960 --> 01:11:44,680
Speaker 1: take action that's gonna hurt you. Um. And that's, you know,

1274
01:11:44,760 --> 01:11:47,400
Speaker 1: that's a perfectly reasonable approach as long as the goals

1275
01:11:47,400 --> 01:11:50,240
Speaker 1: are reasonable. If Mexico gives us something on trade or

1276
01:11:50,280 --> 01:11:52,720
Speaker 1: immigration and we're not asking for the moon, I think

1277
01:11:52,720 --> 01:11:54,719
Speaker 1: that's a that's a that's a good approach to NAFTA,

1278
01:11:55,320 --> 01:11:58,599
Speaker 1: Derek's there's everyone of the American Enterprise Institute a EI

1279
01:11:58,760 --> 01:12:01,040
Speaker 1: dot org. If you want to read more. War and Derek,

1280
01:12:01,080 --> 01:12:03,040
Speaker 1: thank you so much for joining us. We appreciate it, No,

1281
01:12:03,160 --> 01:12:05,519
Speaker 1: I enjoyed it. Thanks for having me on you. We're

1282
01:12:05,640 --> 01:12:08,360
Speaker 1: rolling a break. We got our three coming up in

1283
01:12:08,400 --> 01:12:10,400
Speaker 1: just a few minutes. Here we will talk about the

1284
01:12:10,600 --> 01:12:15,519
Speaker 1: firing of Kevin Williamson, noted conservative calmness from formerly of

1285
01:12:15,600 --> 01:12:18,360
Speaker 1: National Review, probably soon to be once again National Review,

1286
01:12:18,800 --> 01:12:22,280
Speaker 1: fired from the Atlantic because of the left wing digital

1287
01:12:22,360 --> 01:12:27,719
Speaker 1: outrage mob. We'll talk about that and also get into

1288
01:12:28,400 --> 01:12:31,120
Speaker 1: some of my thoughts on a whole bunch of other things.

1289
01:12:31,280 --> 01:12:32,960
Speaker 1: I can't remember what they are off the top of

1290
01:12:33,000 --> 01:12:36,280
Speaker 1: my head because sometimes I'm talking and looking at the

1291
01:12:36,280 --> 01:12:38,640
Speaker 1: clock at the same time. Our three is coming up.

1292
01:12:38,640 --> 01:12:53,320
Speaker 1: Stay with He's holding the line for America. Buck Sexton

1293
01:12:53,479 --> 01:13:00,400
Speaker 1: his back. Hey, welcome to our three of the buck

1294
01:13:00,439 --> 01:13:04,600
Speaker 1: Sexton Show. I don't come on radio and rant and

1295
01:13:04,720 --> 01:13:10,800
Speaker 1: rave and scream. I think anger is cheap. I think

1296
01:13:10,840 --> 01:13:14,400
Speaker 1: it's easy. I could always find a subject that I

1297
01:13:14,439 --> 01:13:17,040
Speaker 1: know would get people all fired up and just start

1298
01:13:17,120 --> 01:13:20,919
Speaker 1: yelling about it. And those terrible Republicans who are cowards,

1299
01:13:20,920 --> 01:13:26,479
Speaker 1: and those terrible Democrats who are cowards. It's boring. It's boring.

1300
01:13:27,360 --> 01:13:32,679
Speaker 1: Sometimes it's necessary, But to do it as a default position,

1301
01:13:32,720 --> 01:13:37,640
Speaker 1: I think is just simply laziness for a host. With

1302
01:13:37,720 --> 01:13:41,200
Speaker 1: all that set, I have to tell you that I'm

1303
01:13:41,200 --> 01:13:50,360
Speaker 1: pretty damn annoyed that The Atlantic has fired Kevin Williamson.

1304
01:13:51,200 --> 01:13:54,519
Speaker 1: And let me tell you what's uh going on here.

1305
01:13:55,200 --> 01:13:59,639
Speaker 1: Kevin Williamson is a calumnist for National Review. National Review

1306
01:13:59,720 --> 01:14:01,920
Speaker 1: is a journal of conservative opinions. I'm sure all of

1307
01:14:01,920 --> 01:14:05,440
Speaker 1: you listening, no, and it's been around for many decades,

1308
01:14:05,479 --> 01:14:09,000
Speaker 1: founded by William F. Buckley, and it's something that I

1309
01:14:09,080 --> 01:14:12,679
Speaker 1: have been reading since I was back in college. Now

1310
01:14:12,760 --> 01:14:15,120
Speaker 1: I know that many of them, not all of them,

1311
01:14:15,160 --> 01:14:17,640
Speaker 1: by the way, Many of them were wrong on the

1312
01:14:17,720 --> 01:14:21,080
Speaker 1: issue of Trump, at least his feasibility as a candidate

1313
01:14:21,160 --> 01:14:24,080
Speaker 1: and the likelihood of him winning. And I think that

1314
01:14:24,120 --> 01:14:28,320
Speaker 1: many of them were wrong, but well intentioned and ethical

1315
01:14:28,760 --> 01:14:31,960
Speaker 1: in being wrong. When it came to their refusal to

1316
01:14:32,040 --> 01:14:37,080
Speaker 1: support Trump during the primary. Most of them, I would

1317
01:14:37,080 --> 01:14:40,040
Speaker 1: not it have switched over and would now say that

1318
01:14:40,120 --> 01:14:42,720
Speaker 1: they call balls and strikes when it comes to the

1319
01:14:42,720 --> 01:14:47,840
Speaker 1: Trump administration. But there generally, I don't know all of them.

1320
01:14:47,840 --> 01:14:52,160
Speaker 1: I know a number of them personally, good guys and

1321
01:14:52,280 --> 01:14:56,120
Speaker 1: gals who worked there, who try very hard to put

1322
01:14:56,200 --> 01:15:00,280
Speaker 1: forward a product that is thoughtful and that is worth while.

1323
01:15:00,840 --> 01:15:03,919
Speaker 1: Now I've I've never worked for National Review. I've published

1324
01:15:03,920 --> 01:15:07,000
Speaker 1: a few things with them. But I just take this

1325
01:15:07,280 --> 01:15:10,439
Speaker 1: somewhat personally because as a conservative in the media space,

1326
01:15:11,120 --> 01:15:14,759
Speaker 1: I can't help but notice that the digital outrage mob

1327
01:15:15,439 --> 01:15:18,160
Speaker 1: can come for any one of us at any point

1328
01:15:18,240 --> 01:15:24,839
Speaker 1: in time. The Atlantic is a leftist journal of opinion.

1329
01:15:24,880 --> 01:15:31,080
Speaker 1: But it's supposed to be sane left, you know. It's not. Uh,

1330
01:15:31,120 --> 01:15:34,920
Speaker 1: it's not far left like The Nation. It's not basically

1331
01:15:34,960 --> 01:15:39,160
Speaker 1: a socialist rag. It publishes a whole range of writers,

1332
01:15:39,360 --> 01:15:43,640
Speaker 1: and many of them very talented. But it had it

1333
01:15:43,720 --> 01:15:46,240
Speaker 1: decided recently that it would hire Kevin Williamson. Now this

1334
01:15:46,439 --> 01:15:52,240
Speaker 1: immediately got scrutiny because Kevin is a conservative. He's been

1335
01:15:52,280 --> 01:15:55,320
Speaker 1: with National Review for over a decade. And they went

1336
01:15:55,360 --> 01:15:59,639
Speaker 1: to work complaining about it. The left, the outrage mob.

1337
01:16:00,280 --> 01:16:03,720
Speaker 1: They gathered together. They grabbed their little digital pitchforks and

1338
01:16:03,800 --> 01:16:09,160
Speaker 1: torches and looked and looked, and eventually found some statements

1339
01:16:09,160 --> 01:16:13,000
Speaker 1: that Kevin had made about how he thought that abortion

1340
01:16:13,080 --> 01:16:19,200
Speaker 1: should be a hanging offense. Now, without getting into the

1341
01:16:19,280 --> 01:16:24,519
Speaker 1: specifics of how offensive or or or not that comment is,

1342
01:16:25,439 --> 01:16:28,479
Speaker 1: without getting into whether it was okay or not for

1343
01:16:28,560 --> 01:16:32,760
Speaker 1: him to say it, that The Atlantic would hire a

1344
01:16:32,960 --> 01:16:38,920
Speaker 1: talented conservative away from National Review and then fire him summarily.

1345
01:16:39,479 --> 01:16:42,880
Speaker 1: This was not hidden. This was not in any way

1346
01:16:43,760 --> 01:16:48,160
Speaker 1: something that they unearthed that was trying to be shielded

1347
01:16:48,240 --> 01:16:50,960
Speaker 1: from public view. Kevin had put this out on Twitter.

1348
01:16:51,600 --> 01:16:53,960
Speaker 1: Kevin had, I think, said something along the same lines

1349
01:16:54,000 --> 01:16:57,280
Speaker 1: in a podcast. They made a decision to hire this writer,

1350
01:16:57,439 --> 01:17:01,840
Speaker 1: and then because the left was so upset, they fired him.

1351
01:17:01,880 --> 01:17:04,400
Speaker 1: Now I can tell you I'm not a friend of Kevin's.

1352
01:17:04,840 --> 01:17:09,320
Speaker 1: We've never we've never had even a social moment together.

1353
01:17:10,000 --> 01:17:12,519
Speaker 1: There are some guests who those of you listen to

1354
01:17:12,560 --> 01:17:15,439
Speaker 1: me for a while, you know who they are, who

1355
01:17:15,560 --> 01:17:20,200
Speaker 1: are really dear friends, people who when they either uh

1356
01:17:20,320 --> 01:17:22,880
Speaker 1: come through New York City or whenever there's an opportunity,

1357
01:17:22,880 --> 01:17:26,200
Speaker 1: we'll get together and and talk about all things, including

1358
01:17:26,520 --> 01:17:28,680
Speaker 1: politics and what we do on the show, but just

1359
01:17:29,280 --> 01:17:32,360
Speaker 1: talk in general. Kevin is not one of those. I

1360
01:17:32,400 --> 01:17:34,120
Speaker 1: barely know the guy, but I've had him on my

1361
01:17:34,120 --> 01:17:37,240
Speaker 1: show in the past, because he's very thoughtful and he's

1362
01:17:37,240 --> 01:17:41,720
Speaker 1: an incredibly talented writer. So his firing is an abject

1363
01:17:42,200 --> 01:17:46,640
Speaker 1: act of cowardice by the Atlantic and is a reminder,

1364
01:17:46,680 --> 01:17:49,880
Speaker 1: and this is why I'm angry about it, of just

1365
01:17:50,040 --> 01:17:57,519
Speaker 1: how feckless, lacking in principle, and utterly detestable the so

1366
01:17:57,680 --> 01:18:01,599
Speaker 1: called intellectual left is at the point in time. It's

1367
01:18:01,640 --> 01:18:04,680
Speaker 1: been getting worse and worse with each passing year, but

1368
01:18:04,760 --> 01:18:10,280
Speaker 1: they have turned public debate into a minefield for people's careers,

1369
01:18:10,320 --> 01:18:14,640
Speaker 1: for their livelihoods. They would rather find a way to

1370
01:18:14,760 --> 01:18:19,479
Speaker 1: take a conservative out, to remove him or her from

1371
01:18:19,640 --> 01:18:22,880
Speaker 1: the realm of ideas, then actually try to fight back

1372
01:18:22,920 --> 01:18:27,880
Speaker 1: against the ideas to win in a fair and worthwhile contest.

1373
01:18:28,160 --> 01:18:33,320
Speaker 1: That's not their goal to destroy, to eliminate. It's really

1374
01:18:33,360 --> 01:18:37,640
Speaker 1: actually quite Soviet, if you will, in its approach to

1375
01:18:37,800 --> 01:18:41,760
Speaker 1: brand all conservatives counter revolutionaries so that they can be

1376
01:18:42,000 --> 01:18:46,679
Speaker 1: summarily expelled from public life. This is true for written

1377
01:18:46,760 --> 01:18:50,599
Speaker 1: journals like The Atlantic and The New York Times, for example,

1378
01:18:50,600 --> 01:18:54,000
Speaker 1: which has a somewhat conservative writer named Barry Weiss. I'm

1379
01:18:54,000 --> 01:18:56,000
Speaker 1: not even sure she's like. I think she's actually a Democrat,

1380
01:18:56,560 --> 01:18:59,679
Speaker 1: but too conservative for The New York Times. I think

1381
01:18:59,720 --> 01:19:01,640
Speaker 1: she and a foul of them for an article a

1382
01:19:01,640 --> 01:19:04,439
Speaker 1: while back on the Me Too movement or something along

1383
01:19:04,439 --> 01:19:07,879
Speaker 1: those lines, although I can't exactly remember. But the journals

1384
01:19:07,880 --> 01:19:14,560
Speaker 1: of opinion, the editorial pages have been increasingly zero sum affairs.

1385
01:19:14,600 --> 01:19:17,519
Speaker 1: You either are on their side or you are to

1386
01:19:17,600 --> 01:19:21,559
Speaker 1: be destroyed. This is true in TV as well. When

1387
01:19:21,640 --> 01:19:24,719
Speaker 1: was the last time you saw a titan of cable

1388
01:19:24,800 --> 01:19:29,160
Speaker 1: news go up against someone of similar stature. Truth is,

1389
01:19:29,320 --> 01:19:31,719
Speaker 1: you're not going to see one of the top hosts

1390
01:19:31,880 --> 01:19:34,840
Speaker 1: from the right go up against a host on the

1391
01:19:34,960 --> 01:19:40,519
Speaker 1: left because nobody wants to risk losing. Nobody wants to

1392
01:19:40,600 --> 01:19:44,800
Speaker 1: be in a position, or they could be humiliated and

1393
01:19:44,920 --> 01:19:48,200
Speaker 1: have social media shouting about how they're so they were

1394
01:19:48,240 --> 01:19:51,479
Speaker 1: so wrong, or they look so foolish, and it's just

1395
01:19:51,640 --> 01:19:54,840
Speaker 1: obvious that there's no good faith on either side. Now,

1396
01:19:55,320 --> 01:20:00,479
Speaker 1: we don't want public debate. Really, we are in increasingly

1397
01:20:00,600 --> 01:20:05,240
Speaker 1: forced into a bunker or a trench if you will.

1398
01:20:05,360 --> 01:20:08,080
Speaker 1: And you can try to cross no man's land to

1399
01:20:08,880 --> 01:20:11,960
Speaker 1: meet with the other side, but it's very likely that

1400
01:20:12,000 --> 01:20:15,040
Speaker 1: as a conservative you will get mowed down. You see

1401
01:20:15,040 --> 01:20:17,840
Speaker 1: this with CNN. For those of you who have the

1402
01:20:17,840 --> 01:20:22,080
Speaker 1: stomach to turn it on. They have two categories for conservatives,

1403
01:20:23,240 --> 01:20:29,320
Speaker 1: useful Trump bashers and basically Alex Jones. And that's it,

1404
01:20:29,960 --> 01:20:32,040
Speaker 1: and that is how they view you. If you go

1405
01:20:32,080 --> 01:20:35,960
Speaker 1: on their air, they will be somewhat polite and uh,

1406
01:20:36,120 --> 01:20:38,800
Speaker 1: cordial to you if you are there to just talk

1407
01:20:38,800 --> 01:20:42,240
Speaker 1: about how Trump is disgusting and he's the worst, and oh,

1408
01:20:42,320 --> 01:20:45,760
Speaker 1: I'm a real conservative and Trump is so bad, and

1409
01:20:45,920 --> 01:20:48,320
Speaker 1: they will have you there as a zoo animal in

1410
01:20:48,320 --> 01:20:50,800
Speaker 1: the cage to have food thrown at you if you

1411
01:20:50,840 --> 01:20:54,559
Speaker 1: want to take a pro Trump position. That's it. And

1412
01:20:54,600 --> 01:20:58,240
Speaker 1: they wonder why there has been a populist consolidation on

1413
01:20:58,280 --> 01:21:03,320
Speaker 1: the right. They wonder why the smart, talented, ethical worthwhile

1414
01:21:03,439 --> 01:21:10,360
Speaker 1: conservatives overwhelmingly stay away from their networks, stay away from

1415
01:21:10,360 --> 01:21:13,880
Speaker 1: trying to write in their journals of opinion, because you

1416
01:21:13,960 --> 01:21:17,599
Speaker 1: subject yourself to the whims of their digital media mob.

1417
01:21:18,920 --> 01:21:22,920
Speaker 1: This is really dangerous for discourse in this country. That

1418
01:21:23,000 --> 01:21:26,800
Speaker 1: this is actually something that has long term ramifications that

1419
01:21:26,800 --> 01:21:29,559
Speaker 1: I don't think the left really understands. They think that

1420
01:21:29,640 --> 01:21:33,000
Speaker 1: they are just racking up win after win. The more

1421
01:21:33,120 --> 01:21:36,960
Speaker 1: scalps they can take of conservatives, the more powerful their

1422
01:21:37,000 --> 01:21:40,040
Speaker 1: side becomes, and there's truth to that. But what they

1423
01:21:40,080 --> 01:21:45,519
Speaker 1: don't understand is that this profession of journalism and of

1424
01:21:46,520 --> 01:21:51,040
Speaker 1: punditry and the whole cable news business is really premised

1425
01:21:51,080 --> 01:21:54,680
Speaker 1: on an underlying idea, and that is that we should

1426
01:21:54,720 --> 01:21:58,519
Speaker 1: inform the public, and we hope that the best ideas win,

1427
01:21:58,840 --> 01:22:02,000
Speaker 1: especially in the area of public policy, because it's what's

1428
01:22:02,080 --> 01:22:04,559
Speaker 1: best for the country that we're all supposed to care about.

1429
01:22:05,200 --> 01:22:08,240
Speaker 1: We may have different ways of getting there, but we

1430
01:22:08,280 --> 01:22:11,880
Speaker 1: will air them and may the best idea win. We

1431
01:22:12,000 --> 01:22:14,880
Speaker 1: have turned away from that. We are now a society

1432
01:22:14,920 --> 01:22:18,519
Speaker 1: that increasingly has to face a left wing that is

1433
01:22:18,560 --> 01:22:28,160
Speaker 1: all about character assassination, Boycott's firings, reprisals for wrong think

1434
01:22:28,400 --> 01:22:32,080
Speaker 1: if you want to borrow from Orwell, and a conservative

1435
01:22:32,120 --> 01:22:35,040
Speaker 1: side that's just sick of it. I'm fortunate and that

1436
01:22:35,200 --> 01:22:37,280
Speaker 1: I have a tremendous amount of leeway to tell you

1437
01:22:37,360 --> 01:22:39,800
Speaker 1: the truth here on this show. Do you know why

1438
01:22:39,840 --> 01:22:44,040
Speaker 1: I have that leeway? Because you listen, because you turn

1439
01:22:44,080 --> 01:22:46,160
Speaker 1: your radio dial to this show when it comes on,

1440
01:22:46,640 --> 01:22:50,080
Speaker 1: because you download the podcast, Because some of you will

1441
01:22:50,160 --> 01:22:53,160
Speaker 1: visit our sponsors and show that we have a reach

1442
01:22:53,200 --> 01:22:55,959
Speaker 1: and that we have a community that we are a tribe,

1443
01:22:57,600 --> 01:22:59,559
Speaker 1: and that's why I can tell you things that are true.

1444
01:22:59,720 --> 01:23:02,360
Speaker 1: If I were employed by one of the major non

1445
01:23:02,400 --> 01:23:06,320
Speaker 1: Fox networks, as I have been in the past, I

1446
01:23:06,360 --> 01:23:12,679
Speaker 1: would be constantly censored, undermined, and feeling the totalitarian grip

1447
01:23:12,880 --> 01:23:17,320
Speaker 1: of the social justice warrior left that no longer has

1448
01:23:17,360 --> 01:23:22,600
Speaker 1: any interest in exchanging ideas, in debating concepts and principles.

1449
01:23:23,240 --> 01:23:28,240
Speaker 1: They just want submission, which perhaps is why they have

1450
01:23:28,320 --> 01:23:34,479
Speaker 1: a particularly a particular affinity for Islamis supremacists. But that's

1451
01:23:34,479 --> 01:23:38,280
Speaker 1: a discussion for another time. I don't even really know Kevin.

1452
01:23:38,960 --> 01:23:41,920
Speaker 1: I just know his writing, and he's so good at

1453
01:23:41,920 --> 01:23:45,639
Speaker 1: it that he makes other writers envious of his talent

1454
01:23:45,760 --> 01:23:49,640
Speaker 1: on left and right. That he got fired from the

1455
01:23:49,640 --> 01:23:52,960
Speaker 1: Atlantic is to their everlasting shame, But it is just

1456
01:23:53,200 --> 01:23:58,439
Speaker 1: another data point that tells us the left has lost

1457
01:23:59,080 --> 01:24:03,559
Speaker 1: its mind and no longer even wishes to get it back.

1458
01:24:04,920 --> 01:24:08,600
Speaker 1: They just want to silence people. They just want submission.

1459
01:24:09,479 --> 01:24:13,880
Speaker 1: They will not engage, and unfortunately that means we have

1460
01:24:14,000 --> 01:24:17,920
Speaker 1: to act accordingly. Alright, rolling a quick break, your team,

1461
01:24:18,000 --> 01:24:33,919
Speaker 1: I'll be right back al right, everyone. So Scott Prewett,

1462
01:24:34,520 --> 01:24:37,240
Speaker 1: the head of the e p A, Is embattled, and

1463
01:24:37,280 --> 01:24:39,160
Speaker 1: a lot of people are giving them a tough time.

1464
01:24:39,200 --> 01:24:41,280
Speaker 1: I even saw an interview on Fox where it looked

1465
01:24:41,280 --> 01:24:43,880
Speaker 1: like they were really poking at pro it. What's true,

1466
01:24:43,960 --> 01:24:46,519
Speaker 1: what's not? We have Kim Strasso with us to answer

1467
01:24:46,560 --> 01:24:49,320
Speaker 1: those questions. She is a calumnist if actually's on the

1468
01:24:49,400 --> 01:24:53,479
Speaker 1: editorial board for the Wall Street Journal and also fantastic author. Kim.

1469
01:24:53,520 --> 01:24:55,840
Speaker 1: Thank you so much for joining. It is great to

1470
01:24:55,840 --> 01:24:58,000
Speaker 1: be here. So what's going on with Pruett? Is it

1471
01:24:58,040 --> 01:25:00,200
Speaker 1: really is he doing bad things? Or is this the

1472
01:25:00,240 --> 01:25:04,840
Speaker 1: media trying to take down another Trumper? Well, you and

1473
01:25:04,880 --> 01:25:08,280
Speaker 1: I both know that Scott Pruett's biggest sin, his only

1474
01:25:08,360 --> 01:25:11,200
Speaker 1: real sin, is that he is one of Donald Trump's

1475
01:25:11,200 --> 01:25:14,559
Speaker 1: most aggressive reformers. And he's taken on all of those

1476
01:25:15,479 --> 01:25:20,200
Speaker 1: green held belief uh and done a lot, probably done

1477
01:25:20,240 --> 01:25:22,920
Speaker 1: more for reform than anyone out there, from the Clean

1478
01:25:22,960 --> 01:25:25,640
Speaker 1: Power Plan getting rid of that, to the waters of

1479
01:25:25,680 --> 01:25:29,000
Speaker 1: the United States, to making a priority of cleaning up

1480
01:25:29,080 --> 01:25:32,920
Speaker 1: real pollution like super fund sites, to the new cafe standards.

1481
01:25:33,160 --> 01:25:36,080
Speaker 1: And the left hates this, and we've seen that when

1482
01:25:36,120 --> 01:25:40,480
Speaker 1: they can't roll something back because he's got the authority

1483
01:25:40,520 --> 01:25:43,760
Speaker 1: to do this, they go for character assassination. Now they've

1484
01:25:43,800 --> 01:25:47,000
Speaker 1: been making a big deal about flights, about pay raises

1485
01:25:47,120 --> 01:25:50,479
Speaker 1: for some of his personnel. I saw something fifty dollars

1486
01:25:50,479 --> 01:25:52,320
Speaker 1: a night to stay in a room in a condom.

1487
01:25:52,360 --> 01:25:54,640
Speaker 1: Like they're really digging deep here. I mean, this is

1488
01:25:54,720 --> 01:25:57,040
Speaker 1: like the washed post has got their best on whether

1489
01:25:57,360 --> 01:25:59,360
Speaker 1: prue it was in the room or if he was

1490
01:25:59,400 --> 01:26:01,880
Speaker 1: just rending it or his daughter or something. What is

1491
01:26:01,880 --> 01:26:05,200
Speaker 1: all that we have gone down the rabbit hole here?

1492
01:26:05,560 --> 01:26:07,880
Speaker 1: I mean this started out a couple of months ago

1493
01:26:08,800 --> 01:26:13,040
Speaker 1: by them scrutinizing uh flights that he had made overseas,

1494
01:26:13,400 --> 01:26:16,880
Speaker 1: in particular to a G seven conference last year in

1495
01:26:16,960 --> 01:26:19,920
Speaker 1: Italy and then another trip to Morocco, and they said, oh,

1496
01:26:19,920 --> 01:26:23,760
Speaker 1: look at these costs so excessive. Of course, the joke is, uh,

1497
01:26:23,880 --> 01:26:27,519
Speaker 1: E p A is you know, provided us numbers UH

1498
01:26:27,560 --> 01:26:31,840
Speaker 1: that show the trips that were taken by his predecessors,

1499
01:26:31,960 --> 01:26:35,599
Speaker 1: Gina McCarthy and Lisa Jackson UM. And it turns out,

1500
01:26:35,640 --> 01:26:39,120
Speaker 1: you know, they're spending was equal to, if not more than,

1501
01:26:39,200 --> 01:26:42,040
Speaker 1: anything that Scott Pruit has done. So this seems to

1502
01:26:42,080 --> 01:26:46,559
Speaker 1: be very much a case of one sided reporting, especially

1503
01:26:46,560 --> 01:26:49,400
Speaker 1: given if you add in, uh, the security costs that

1504
01:26:49,520 --> 01:26:52,519
Speaker 1: Mr Pruitt requires given he gets death threats, which was

1505
01:26:52,600 --> 01:26:55,760
Speaker 1: I don't think something that happened to Obama employees. UM

1506
01:26:55,880 --> 01:26:58,760
Speaker 1: on the condo the Ethics Office that the e p

1507
01:26:58,920 --> 01:27:01,400
Speaker 1: A has come out that they reviewed the least they

1508
01:27:01,479 --> 01:27:04,000
Speaker 1: stayed in that if you added up over a month,

1509
01:27:04,040 --> 01:27:08,200
Speaker 1: it's fift a month. It was essentially one room, no kitchen,

1510
01:27:08,320 --> 01:27:11,640
Speaker 1: no full kitchen, no telephone line. It was kind of

1511
01:27:11,640 --> 01:27:14,840
Speaker 1: a room in a larger complex. Um and they said

1512
01:27:14,920 --> 01:27:18,639
Speaker 1: that it was of reasonable market value what was paid.

1513
01:27:18,760 --> 01:27:22,559
Speaker 1: So you know, this seems to be people bringing up

1514
01:27:22,600 --> 01:27:26,000
Speaker 1: anything they can just to to try to take him out.

1515
01:27:26,360 --> 01:27:29,400
Speaker 1: We've seen this before. You go out there, you try

1516
01:27:29,439 --> 01:27:32,639
Speaker 1: to rise up a ground swell and then get Trump's

1517
01:27:32,640 --> 01:27:36,400
Speaker 1: attention and have Trump fire somebody. Why is the White

1518
01:27:36,439 --> 01:27:40,040
Speaker 1: House or better question, is the White House kim backing

1519
01:27:40,080 --> 01:27:42,120
Speaker 1: away from Prue it though? Or is that also a

1520
01:27:42,200 --> 01:27:44,679
Speaker 1: construct of the media. I saw that you had one

1521
01:27:44,760 --> 01:27:48,160
Speaker 1: of the Hogan Gidley was one of the spokespersons from

1522
01:27:48,160 --> 01:27:50,599
Speaker 1: the White House, just said I can't speak to Scott

1523
01:27:50,600 --> 01:27:53,240
Speaker 1: Prue's future or something like that, and said, well, it

1524
01:27:53,320 --> 01:27:55,760
Speaker 1: must be very short. Is that true? Do we have

1525
01:27:55,800 --> 01:27:59,000
Speaker 1: any sense of that. I have no idea, you know

1526
01:27:59,120 --> 01:28:02,800
Speaker 1: that they There's been some reporting out there saying that, oh,

1527
01:28:02,920 --> 01:28:05,960
Speaker 1: they were unhappy because Pruett was alph on a media

1528
01:28:06,080 --> 01:28:09,240
Speaker 1: tour and they hadn't wanted him to be. Maybe the

1529
01:28:09,280 --> 01:28:13,040
Speaker 1: President's not happy. We never know, but I will tell

1530
01:28:13,040 --> 01:28:15,719
Speaker 1: you this buck. You know, the President makes a big

1531
01:28:15,720 --> 01:28:19,240
Speaker 1: deal out of loyalty, uh for his people. He said

1532
01:28:19,240 --> 01:28:22,080
Speaker 1: they owe him loyalty. But that's got to be a

1533
01:28:22,160 --> 01:28:25,719
Speaker 1: two way street. And if he throws Scott Pruett over

1534
01:28:26,000 --> 01:28:28,880
Speaker 1: the side, a guy who has been one of the

1535
01:28:28,920 --> 01:28:31,559
Speaker 1: most able reformers in Washington and by the way, done

1536
01:28:31,600 --> 01:28:34,479
Speaker 1: things that most people don't have the guts to do,

1537
01:28:34,920 --> 01:28:36,200
Speaker 1: can you give us some of what he's done? By

1538
01:28:36,200 --> 01:28:37,920
Speaker 1: the way, Kim for folks listen, because I think that

1539
01:28:37,960 --> 01:28:40,839
Speaker 1: there's this consensus opinion that's formed of Oh gosh, Pruett.

1540
01:28:40,880 --> 01:28:44,639
Speaker 1: He's just acting like he's, you know, uh, this big

1541
01:28:44,680 --> 01:28:46,680
Speaker 1: important guy and he needs to go and he's a

1542
01:28:46,680 --> 01:28:49,759
Speaker 1: liability for the administration. What has prupen up to? That's good?

1543
01:28:49,800 --> 01:28:52,360
Speaker 1: Oh my gosh, Oh, it's incredible. If you if you

1544
01:28:52,400 --> 01:28:56,960
Speaker 1: are opposed to the Obama administration's decision to impose a

1545
01:28:57,080 --> 01:29:00,120
Speaker 1: carbon Control program and run coal out of this this

1546
01:29:00,280 --> 01:29:03,720
Speaker 1: without any congressional authority to do so. You will appreciate

1547
01:29:03,760 --> 01:29:07,840
Speaker 1: Scott prue It because he is revoking those rules. Um.

1548
01:29:07,960 --> 01:29:12,760
Speaker 1: If you are not a believer in the extraordinary uh

1549
01:29:13,040 --> 01:29:17,000
Speaker 1: CAFE fuel efficiency standards the Obama administration put in that

1550
01:29:17,240 --> 01:29:20,519
Speaker 1: was limiting consumer choice and adding huge amounts to the

1551
01:29:20,560 --> 01:29:23,040
Speaker 1: cost of vehicles, you'll like Scott pru It because he's

1552
01:29:23,200 --> 01:29:26,800
Speaker 1: revising them. Um. If you believe super fund sites are

1553
01:29:26,840 --> 01:29:29,519
Speaker 1: an issue, you'll like Scott pru It because he's finally,

1554
01:29:29,600 --> 01:29:32,360
Speaker 1: for the first time in more than a decade, putting

1555
01:29:32,400 --> 01:29:35,240
Speaker 1: an emphasis on cleaning those up rather than all of

1556
01:29:35,280 --> 01:29:38,880
Speaker 1: these other little mirages that the Obama administration we're running after.

1557
01:29:39,320 --> 01:29:42,000
Speaker 1: So he's done a great deal to restore law and

1558
01:29:42,200 --> 01:29:45,400
Speaker 1: order at an agency that, over the past eight years,

1559
01:29:45,720 --> 01:29:48,439
Speaker 1: has spent its time trying to take over in a

1560
01:29:48,479 --> 01:29:51,880
Speaker 1: power grab pretty much every piece of the United States

1561
01:29:52,040 --> 01:29:56,280
Speaker 1: landscape and and run rough shod over Congress and other agencies.

1562
01:29:56,920 --> 01:29:59,559
Speaker 1: James Stress of everybody, she's at the Wall Street Journal.

1563
01:29:59,600 --> 01:30:02,519
Speaker 1: Read her latest there Wall Street Journal dot com, and

1564
01:30:02,640 --> 01:30:04,639
Speaker 1: uh keep an eye off for her next one. Kim,

1565
01:30:04,720 --> 01:30:06,519
Speaker 1: thank you so much for joining. It's always a pleasure

1566
01:30:06,520 --> 01:30:10,479
Speaker 1: and appreciate hearing from you. Thank you Buck. You know,

1567
01:30:10,520 --> 01:30:13,400
Speaker 1: I gotta tell you, guys, I I listened to all

1568
01:30:13,400 --> 01:30:15,960
Speaker 1: the different broadcasts out there about Pruitt, and I've I've

1569
01:30:15,960 --> 01:30:18,320
Speaker 1: been reading Kim's column and she's like, what is going on?

1570
01:30:18,479 --> 01:30:22,519
Speaker 1: This guy is getting thrown under the any energy efficient

1571
01:30:22,880 --> 01:30:26,280
Speaker 1: prius bus and it's not okay, it's not right. You know,

1572
01:30:26,920 --> 01:30:31,439
Speaker 1: there's there's clearly something up here. And I gotta tell you.

1573
01:30:32,160 --> 01:30:34,880
Speaker 1: The one thing the left does and we'll be you

1574
01:30:34,880 --> 01:30:37,320
Speaker 1: know this is Hey, the Kevin Williams and thing is

1575
01:30:37,320 --> 01:30:39,920
Speaker 1: a perfect example of this in a in another way,

1576
01:30:40,080 --> 01:30:45,200
Speaker 1: the left protects their own. The left does not let

1577
01:30:45,240 --> 01:30:48,360
Speaker 1: their warriors go out there and fight and then come

1578
01:30:48,400 --> 01:30:50,720
Speaker 1: back and have their own side turn on them, you

1579
01:30:50,760 --> 01:30:54,799
Speaker 1: know with conservatives. You know, conservatives seem to like martyrs

1580
01:30:54,800 --> 01:30:56,960
Speaker 1: for the cause. You know, go out there, get your

1581
01:30:56,960 --> 01:31:00,320
Speaker 1: career ruined, get annihilated, and we'll write something nice about

1582
01:31:00,320 --> 01:31:02,400
Speaker 1: you in the Weekly Standard or something. I mean, you

1583
01:31:02,439 --> 01:31:06,880
Speaker 1: don't really you don't see the same effort to support

1584
01:31:07,439 --> 01:31:09,880
Speaker 1: those who support the cause. And it sounds like pro

1585
01:31:10,000 --> 01:31:12,680
Speaker 1: it's doing good stuff. We should have his back, all right,

1586
01:31:12,800 --> 01:31:14,479
Speaker 1: speaking of back, we'll be back in just a few

1587
01:31:26,439 --> 01:31:29,000
Speaker 1: He's back with you now, because when it comes to

1588
01:31:29,040 --> 01:31:36,120
Speaker 1: the fight for truth, the fuck never stops. Now, I

1589
01:31:36,160 --> 01:31:37,760
Speaker 1: have to tell you all, I have a little bit

1590
01:31:37,760 --> 01:31:44,040
Speaker 1: of a bias. I hate cruise lines. I just I

1591
01:31:44,120 --> 01:31:46,519
Speaker 1: just do. And so there's a little part of me

1592
01:31:46,560 --> 01:31:49,720
Speaker 1: that always feels like, ha, I knew it every time

1593
01:31:49,760 --> 01:31:51,679
Speaker 1: you have one of these stories about the cruise ship

1594
01:31:51,800 --> 01:31:55,040
Speaker 1: from Hell, because I just there are a few things

1595
01:31:55,040 --> 01:31:57,600
Speaker 1: going on here. One. I don't like ever being in

1596
01:31:57,600 --> 01:32:00,000
Speaker 1: a place that I can't leave, and that is true

1597
01:32:00,040 --> 01:32:03,360
Speaker 1: of basically all ships. I also don't like being on

1598
01:32:03,400 --> 01:32:06,080
Speaker 1: the ocean because I get seasick, which, if you've ever

1599
01:32:06,120 --> 01:32:08,880
Speaker 1: been seasick, is pretty much the most horrible thing on

1600
01:32:08,920 --> 01:32:12,519
Speaker 1: the planet. It's like a really bad hangover, except worse,

1601
01:32:12,680 --> 01:32:15,120
Speaker 1: and you've done it to yourself and you can't escape,

1602
01:32:15,280 --> 01:32:19,320
Speaker 1: and it's terrible. So I'm obviously not some and people say, oh, bok,

1603
01:32:19,360 --> 01:32:21,519
Speaker 1: put the put the wrist thing on and just take

1604
01:32:21,600 --> 01:32:24,280
Speaker 1: some more what do you call it, take some dramamine? No,

1605
01:32:24,920 --> 01:32:28,040
Speaker 1: I refuse, because there are so many wonderful places that

1606
01:32:28,080 --> 01:32:30,840
Speaker 1: have dry land where I can be. Why would I

1607
01:32:30,840 --> 01:32:32,680
Speaker 1: want to spend my vacation on a cruise. Now you

1608
01:32:32,680 --> 01:32:34,720
Speaker 1: can come at me on this one. I know, people said, Buck,

1609
01:32:34,880 --> 01:32:37,919
Speaker 1: I've been a wonderful cruises. They're beautiful, the foods amazing.

1610
01:32:38,320 --> 01:32:40,720
Speaker 1: You've never and I've never done one, so I am

1611
01:32:40,880 --> 01:32:44,680
Speaker 1: I am throwing stones while in my little hut of

1612
01:32:44,720 --> 01:32:47,960
Speaker 1: ignorance when it comes to cruises. I get that that

1613
01:32:48,160 --> 01:32:51,160
Speaker 1: all said put this one in the maybe Buck was

1614
01:32:51,280 --> 01:32:54,800
Speaker 1: right category. You know, you have these stories that come

1615
01:32:54,840 --> 01:32:58,799
Speaker 1: out about, you know, outbreak of some you know, funky disease.

1616
01:32:58,840 --> 01:33:00,880
Speaker 1: You know, people are like, oh, this cruise and everything

1617
01:33:00,960 --> 01:33:02,880
Speaker 1: was great, and then all of a sudden you had

1618
01:33:02,960 --> 01:33:06,400
Speaker 1: you know, nera virus and it's in the food supply

1619
01:33:06,400 --> 01:33:08,599
Speaker 1: and everyone's getting sick, and all of a sudden you're

1620
01:33:08,600 --> 01:33:12,639
Speaker 1: on this person floating Petrie dish out there in the ocean.

1621
01:33:12,680 --> 01:33:16,519
Speaker 1: No escape, you know, no no where to go really,

1622
01:33:16,560 --> 01:33:19,040
Speaker 1: and you're stuck. Um. I think there was a one

1623
01:33:19,160 --> 01:33:22,040
Speaker 1: as well that also had a did I have some

1624
01:33:22,120 --> 01:33:24,280
Speaker 1: kind of a power outage or the engine stopped and

1625
01:33:24,280 --> 01:33:27,000
Speaker 1: people were they were stuck out there for any bad

1626
01:33:27,000 --> 01:33:29,040
Speaker 1: things happen. But this one, this just went up on

1627
01:33:29,120 --> 01:33:32,599
Speaker 1: Fox News and I sent it around because look, there's

1628
01:33:32,680 --> 01:33:37,960
Speaker 1: some cruises are the sun dried tomatoes of and those

1629
01:33:38,000 --> 01:33:39,479
Speaker 1: of you know what I'm talking about there, the sun

1630
01:33:39,560 --> 01:33:42,439
Speaker 1: dried tomatoes of the vacation world. You just you just

1631
01:33:42,439 --> 01:33:44,280
Speaker 1: don't need them. We're talking more about sun dried tomatoes

1632
01:33:44,280 --> 01:33:48,960
Speaker 1: in a few minutes. But the Norwegian Cruise Line, the

1633
01:33:49,000 --> 01:33:53,799
Speaker 1: Norwegian Cruise Line decided that it would do maintenance while

1634
01:33:54,120 --> 01:33:58,000
Speaker 1: people were on their cruise. But by maintenance they actually

1635
01:33:58,040 --> 01:34:04,200
Speaker 1: meant do massive reconfiguration of rooms and construction and the

1636
01:34:04,200 --> 01:34:06,320
Speaker 1: the quotes on this thing, and it was, by the way,

1637
01:34:06,320 --> 01:34:09,559
Speaker 1: it was a long cruise. It was from I think

1638
01:34:09,840 --> 01:34:13,040
Speaker 1: where was it New York? I forget where, but make

1639
01:34:13,080 --> 01:34:15,160
Speaker 1: it all the way around to l A. That wasn't

1640
01:34:15,200 --> 01:34:18,400
Speaker 1: New York. Where was it left somewhere else? I forget um.

1641
01:34:18,880 --> 01:34:22,679
Speaker 1: It went through the Panama Canal. It was sixteen days.

1642
01:34:23,560 --> 01:34:26,519
Speaker 1: It was described as sixteen days of hell. The story

1643
01:34:26,560 --> 01:34:29,960
Speaker 1: region cruise. And I gotta tell you it's not surprising

1644
01:34:30,000 --> 01:34:33,160
Speaker 1: to me, but this is always my nightmare that once

1645
01:34:33,200 --> 01:34:34,960
Speaker 1: you're in a place and you have no leverage, you

1646
01:34:34,960 --> 01:34:37,719
Speaker 1: can't That's why I don't like flying. You're at someone

1647
01:34:37,720 --> 01:34:40,439
Speaker 1: else's mercy. You're on a cruise ship. What are you

1648
01:34:40,439 --> 01:34:44,080
Speaker 1: gonna do. You're gonna demand the cruisetip, not stink and

1649
01:34:44,160 --> 01:34:47,680
Speaker 1: be terrible. They got your money, You're already there. And

1650
01:34:47,720 --> 01:34:50,600
Speaker 1: in this case, they started doing heavy construction. Think about that.

1651
01:34:50,640 --> 01:34:54,000
Speaker 1: You're literally on a floating construction site for your holiday.

1652
01:34:54,040 --> 01:34:57,400
Speaker 1: And Norwegian Cruise Lines thought this was okay. They've slammed

1653
01:34:57,400 --> 01:35:01,960
Speaker 1: the passengers have slammed. The ship's horrible, no stop construction atmosphere.

1654
01:35:02,880 --> 01:35:05,680
Speaker 1: Uh And and they say that dust and debris from

1655
01:35:05,720 --> 01:35:10,599
Speaker 1: the construction littered the entire ship and there were there

1656
01:35:10,720 --> 01:35:14,400
Speaker 1: was like crap all over the deck. It's just their photos.

1657
01:35:14,439 --> 01:35:17,479
Speaker 1: You gotta It's on Fox Fox News right now. You

1658
01:35:17,479 --> 01:35:20,360
Speaker 1: can check it out fox news dot com. But it

1659
01:35:20,439 --> 01:35:23,639
Speaker 1: just goes to show you that sometimes my prejudices about

1660
01:35:23,640 --> 01:35:27,160
Speaker 1: cruise ships. I feel pretty confident in them. And there's

1661
01:35:27,200 --> 01:35:30,360
Speaker 1: so many wonderful places that you can get to quickly

1662
01:35:30,439 --> 01:35:35,760
Speaker 1: with a plane or even a car. Why get on

1663
01:35:35,800 --> 01:35:38,160
Speaker 1: a cruise ship? Well you're not And people say, oh

1664
01:35:38,160 --> 01:35:40,040
Speaker 1: you stop at ports of call. No no, no no, no, no,

1665
01:35:40,760 --> 01:35:43,800
Speaker 1: I'm sleeping on dry land. I don't mess around with that.

1666
01:35:44,240 --> 01:35:46,040
Speaker 1: You can call me close minded, you could call me

1667
01:35:46,120 --> 01:35:49,960
Speaker 1: curmudgeent ly, and you'd be correct. Buck doesn't do no cruises.

1668
01:35:50,520 --> 01:35:53,479
Speaker 1: That's not that's just not how I do it. And

1669
01:35:53,520 --> 01:35:55,400
Speaker 1: with that, we got roll call coming up, So stay

1670
01:35:55,560 --> 01:36:16,960
Speaker 1: right there, team keeping it real, Gene Buck, it's time

1671
01:36:17,000 --> 01:36:21,200
Speaker 1: for roll call. Yeah, we got a harmonica dubstep intro there.

1672
01:36:22,000 --> 01:36:24,639
Speaker 1: That is some funky stuff my friends to or we'll

1673
01:36:24,640 --> 01:36:26,320
Speaker 1: get something else for you tomorrow. We we'd just like

1674
01:36:26,360 --> 01:36:28,240
Speaker 1: to keep you on your toes. You're like, what am

1675
01:36:28,240 --> 01:36:30,960
Speaker 1: I gonna here today in roll Call? Maybe it will

1676
01:36:31,000 --> 01:36:36,679
Speaker 1: be a mixture of traditional East Asian folk music with

1677
01:36:37,360 --> 01:36:43,200
Speaker 1: uh Caribbean calypso or something I don't know, so nonetheless, uh,

1678
01:36:43,280 --> 01:36:46,400
Speaker 1: here's what we got going on with roll call. We

1679
01:36:46,479 --> 01:36:48,880
Speaker 1: have first up. Well, by the way, if you want

1680
01:36:48,920 --> 01:36:52,080
Speaker 1: to send us your thoughts, if you want to send

1681
01:36:52,160 --> 01:36:56,200
Speaker 1: us your latest official Team Buck at gmail dot com

1682
01:36:56,360 --> 01:37:00,920
Speaker 1: or Facebook dot com, slash buck sex stint All Right,

1683
01:37:01,000 --> 01:37:06,360
Speaker 1: first off on roll Call, we have Alan. I love

1684
01:37:06,439 --> 01:37:10,599
Speaker 1: the show, but you face l O L just kidding

1685
01:37:10,600 --> 01:37:13,080
Speaker 1: their Buck. You were talking about giving news people a hug,

1686
01:37:13,120 --> 01:37:14,920
Speaker 1: and I have to say, with a stern face and

1687
01:37:14,960 --> 01:37:18,559
Speaker 1: a stiff voice, no, the only people I ever hug

1688
01:37:18,720 --> 01:37:21,799
Speaker 1: or those that I've had relations with or my family.

1689
01:37:21,960 --> 01:37:24,960
Speaker 1: So back up, buckman L O L again. All right,

1690
01:37:25,000 --> 01:37:29,320
Speaker 1: Alan finds himself very entertaining. I've noticed that you aren't

1691
01:37:29,360 --> 01:37:32,559
Speaker 1: reading all your Facebook messages, as I see three above

1692
01:37:32,720 --> 01:37:36,000
Speaker 1: that have not been seen yet. I understand you're a

1693
01:37:36,080 --> 01:37:38,160
Speaker 1: busy man, and I don't blame you for not being

1694
01:37:38,160 --> 01:37:40,559
Speaker 1: able to see those. Just hope, I hope you see

1695
01:37:40,560 --> 01:37:43,680
Speaker 1: the comedy gold Well. I'm trying, Alan, I read as

1696
01:37:43,720 --> 01:37:45,680
Speaker 1: much as I can. Occasionally some get lost in the

1697
01:37:45,720 --> 01:37:49,320
Speaker 1: box here because we get a huge volume of Facebook

1698
01:37:49,320 --> 01:37:51,360
Speaker 1: messages coming in. But I stay up late at night

1699
01:37:51,360 --> 01:37:53,960
Speaker 1: and I try to read as as many of them

1700
01:37:53,960 --> 01:37:55,960
Speaker 1: as I can. So I promise you I will, I

1701
01:37:56,000 --> 01:37:58,599
Speaker 1: will stay on it and I'll keep reading through them. Uh.

1702
01:37:58,760 --> 01:38:03,360
Speaker 1: Next up we have Kayla right hey, Buck catching up

1703
01:38:03,360 --> 01:38:06,679
Speaker 1: with the podcast from yesterday, and I'm loving the random

1704
01:38:06,680 --> 01:38:11,880
Speaker 1: switch ups of roll Call Music see exactly not only

1705
01:38:11,960 --> 01:38:16,840
Speaker 1: random switch ups, but random music as the random switch ups.

1706
01:38:16,960 --> 01:38:20,040
Speaker 1: There you go. Also, I love your random plugs about

1707
01:38:20,040 --> 01:38:22,719
Speaker 1: being gluten intolerant, as I too have a gluten allergy.

1708
01:38:23,040 --> 01:38:24,800
Speaker 1: I'd love to hear more about your journey as a

1709
01:38:24,880 --> 01:38:27,240
Speaker 1: celiac and how you make it through day to day life,

1710
01:38:27,320 --> 01:38:31,040
Speaker 1: love the show Shields High, Kayla, Kyla. I only found

1711
01:38:31,080 --> 01:38:36,000
Speaker 1: out that I had celiac disease about six years ago.

1712
01:38:36,040 --> 01:38:38,160
Speaker 1: It was actually very early on in my media career,

1713
01:38:39,160 --> 01:38:42,960
Speaker 1: and I can tell you that that it it coincided

1714
01:38:43,360 --> 01:38:45,920
Speaker 1: with the early days of me being on radio, and

1715
01:38:45,960 --> 01:38:49,600
Speaker 1: I was really sick and had been on cycles of

1716
01:38:49,640 --> 01:38:53,320
Speaker 1: antibiotics over the course of a bunch of months, maybe

1717
01:38:53,360 --> 01:38:56,240
Speaker 1: four or five months of different antibiotics, which now I

1718
01:38:56,320 --> 01:38:59,200
Speaker 1: know antibotics are great and their life saving a lot

1719
01:38:59,240 --> 01:39:02,000
Speaker 1: of love of cases and a lot of capacities, but

1720
01:39:02,320 --> 01:39:05,479
Speaker 1: you don't want to abuse or misuse them trying to

1721
01:39:05,920 --> 01:39:08,240
Speaker 1: find it. You know, a bacteria that's not there right,

1722
01:39:08,240 --> 01:39:11,280
Speaker 1: just take them because you're hoping something good happens. So

1723
01:39:11,680 --> 01:39:13,679
Speaker 1: it was a rough rough patch there for a while.

1724
01:39:13,960 --> 01:39:15,360
Speaker 1: I wasn't even sure I'd be able to make it

1725
01:39:15,400 --> 01:39:17,680
Speaker 1: through my original Saturday show. On some days I had

1726
01:39:17,720 --> 01:39:21,519
Speaker 1: to bring in gatorade with me into the original Freedom

1727
01:39:21,600 --> 01:39:24,800
Speaker 1: Hunt for for weeks and I was just starting the

1728
01:39:24,840 --> 01:39:29,040
Speaker 1: show too, and I refused to stop. And I decided

1729
01:39:29,080 --> 01:39:32,000
Speaker 1: that no matter, no matter what would happen, they would

1730
01:39:32,040 --> 01:39:34,080
Speaker 1: have to drag me out of that radio studio. If

1731
01:39:34,080 --> 01:39:39,360
Speaker 1: I passed out, well, then I passed out. So that's uh.

1732
01:39:39,400 --> 01:39:41,160
Speaker 1: And in terms of being gluten intolerant here in New

1733
01:39:41,240 --> 01:39:43,479
Speaker 1: York City, and by the way, gluten allergy is a

1734
01:39:43,520 --> 01:39:46,320
Speaker 1: little different from gluten intolerance for those who care, which

1735
01:39:46,320 --> 01:39:49,120
Speaker 1: I assume is probably very a small percentage, right. It's

1736
01:39:49,120 --> 01:39:51,559
Speaker 1: like I'm sitting here talking about peanut allergy. You only

1737
01:39:51,560 --> 01:39:53,160
Speaker 1: care about it if you got it or if someone

1738
01:39:53,200 --> 01:39:55,400
Speaker 1: you know has it. If not, you're like, whatever, why

1739
01:39:55,400 --> 01:39:58,799
Speaker 1: can't eat my peanuts on the plane? But gluten allergy

1740
01:39:59,000 --> 01:40:01,599
Speaker 1: is more of a sense of ativity to it and

1741
01:40:01,920 --> 01:40:05,000
Speaker 1: gluten intolerance are for specifically to celiac disease, which has

1742
01:40:05,000 --> 01:40:07,760
Speaker 1: been around for a very long time. In the early

1743
01:40:07,800 --> 01:40:11,360
Speaker 1: days of ciliac disease, they would put bait because babies,

1744
01:40:11,360 --> 01:40:14,200
Speaker 1: so you're you're born this way. It's actually a an

1745
01:40:14,200 --> 01:40:17,760
Speaker 1: autoimmune disorder. It's not an allergy. It has nothing to

1746
01:40:17,800 --> 01:40:20,880
Speaker 1: do with histamine and your body's response to you know,

1747
01:40:21,760 --> 01:40:24,800
Speaker 1: outside things in the air. No, no, no, it is

1748
01:40:24,800 --> 01:40:27,519
Speaker 1: actually an autoimmune issue. So it's entirely in the gastro

1749
01:40:27,600 --> 01:40:32,280
Speaker 1: intestinal tract. And uh, babies would could die from it,

1750
01:40:32,360 --> 01:40:34,240
Speaker 1: and they would keep feeding you know, feeding them and

1751
01:40:34,280 --> 01:40:37,599
Speaker 1: feeding them and or you know, two more toddlers than babies.

1752
01:40:37,640 --> 01:40:41,160
Speaker 1: But uh, the moment they introduced grains into their diet,

1753
01:40:42,200 --> 01:40:43,920
Speaker 1: they would get very, very sick, and they would lose

1754
01:40:43,960 --> 01:40:46,240
Speaker 1: their hair and and they realize, well, if you just

1755
01:40:46,280 --> 01:40:49,280
Speaker 1: give them bananas, all of a sudden, they start the

1756
01:40:49,320 --> 01:40:51,719
Speaker 1: hair starts to grow, and they and it was because

1757
01:40:51,720 --> 01:40:54,000
Speaker 1: it was gluten free before they even knew what was

1758
01:40:54,040 --> 01:40:56,599
Speaker 1: gluten free. So anyway, as you can tell, I get

1759
01:40:57,040 --> 01:41:01,160
Speaker 1: passionate about the subject. I follow a couple of biotechnology

1760
01:41:01,200 --> 01:41:05,639
Speaker 1: companies just out of interest, not even out of financial interest,

1761
01:41:05,680 --> 01:41:07,960
Speaker 1: which is true of some other biotech companies that I

1762
01:41:08,000 --> 01:41:10,760
Speaker 1: know of, because I'm hoping that they can develop a

1763
01:41:10,760 --> 01:41:13,040
Speaker 1: cure for ciliac disease. That's one of the things if

1764
01:41:13,040 --> 01:41:15,000
Speaker 1: I could give you a good thing to think about.

1765
01:41:15,800 --> 01:41:18,400
Speaker 1: I am hopeful that in the next you know, ten

1766
01:41:18,479 --> 01:41:21,400
Speaker 1: years or so, there's gonna be some really great breakthrough

1767
01:41:21,520 --> 01:41:25,640
Speaker 1: cures of afflictions that we all have to be on

1768
01:41:25,680 --> 01:41:29,680
Speaker 1: the lookout for. Obviously top of the list cancer, there

1769
01:41:29,680 --> 01:41:33,599
Speaker 1: a whole bunch of other ones, though um Alzheimer's. There's

1770
01:41:33,800 --> 01:41:35,960
Speaker 1: a lot of and there's some great research going into

1771
01:41:36,000 --> 01:41:41,840
Speaker 1: these things. Seeliac disease affects at least three million Americans,

1772
01:41:41,880 --> 01:41:43,960
Speaker 1: but they think that there's really a one in five

1773
01:41:44,040 --> 01:41:48,040
Speaker 1: or maybe even a one in ten diagnosis rate versus

1774
01:41:48,080 --> 01:41:51,920
Speaker 1: what's actually present in the general population. So I'm just

1775
01:41:52,160 --> 01:41:54,120
Speaker 1: you know, I I I'm not a doctor. I'm not

1776
01:41:54,160 --> 01:41:56,439
Speaker 1: giving you medical advice. But all I could tell you is,

1777
01:41:57,320 --> 01:41:59,439
Speaker 1: if you have any feeling about it whatsoever, you could

1778
01:41:59,439 --> 01:42:01,880
Speaker 1: have just your GP take a blood test for you,

1779
01:42:01,920 --> 01:42:06,000
Speaker 1: because it it's much more prevalent than folks realize. And

1780
01:42:06,160 --> 01:42:09,800
Speaker 1: sometimes people are asymptomatic with Celiac disease for a very

1781
01:42:09,840 --> 01:42:13,400
Speaker 1: long time, and they only find out when they have,

1782
01:42:13,479 --> 01:42:18,120
Speaker 1: for example, a uh, colon cancer or you know, it's

1783
01:42:18,160 --> 01:42:19,880
Speaker 1: and then it's too late right then, that it's too

1784
01:42:19,920 --> 01:42:21,920
Speaker 1: late to figure out what had happened. All right, I'll

1785
01:42:21,920 --> 01:42:24,840
Speaker 1: move on to something else here. And hey, Buck, I

1786
01:42:24,880 --> 01:42:29,760
Speaker 1: love the show. Last Friday's Sorows impression was disturbing. Why

1787
01:42:29,840 --> 01:42:33,160
Speaker 1: you don't like Soros? What he's wrong with him? He

1788
01:42:33,240 --> 01:42:36,200
Speaker 1: just wants to write big checks for progressive causes and

1789
01:42:36,280 --> 01:42:40,160
Speaker 1: cause the collapse of America. No, it's not like he's

1790
01:42:40,200 --> 01:42:43,679
Speaker 1: trying to make a terrible thing happen. Wait, you don't

1791
01:42:43,720 --> 01:42:47,439
Speaker 1: like socialism? Come on, but what did I hear in

1792
01:42:47,479 --> 01:42:49,599
Speaker 1: my head when I had open Red State and saw

1793
01:42:49,600 --> 01:42:52,519
Speaker 1: a picture of Soros? He is poor, but he is

1794
01:42:52,680 --> 01:42:55,760
Speaker 1: rich in hair shield hie friend, thank you, d thank

1795
01:42:55,760 --> 01:42:59,720
Speaker 1: you very much rich richard hair. Indeed? Um, all right?

1796
01:42:59,800 --> 01:43:03,479
Speaker 1: Not stuff we get t j al right. I hate

1797
01:43:03,479 --> 01:43:05,200
Speaker 1: to play into your temptations, Buck, but I heard you

1798
01:43:05,280 --> 01:43:08,959
Speaker 1: mentioned French fries, dipland chocolate. Have you ever been to Wendy's?

1799
01:43:09,400 --> 01:43:14,160
Speaker 1: French Fries plus chocolate frosty equals no ketchup needed? Do

1800
01:43:14,240 --> 01:43:16,880
Speaker 1: you guys? Do you ever do this? Mike and John?

1801
01:43:16,920 --> 01:43:19,240
Speaker 1: You oh, you go French fries in the frosty or

1802
01:43:19,280 --> 01:43:24,240
Speaker 1: you go simultaneous? No, this is never simultaneous. Never saw

1803
01:43:24,640 --> 01:43:26,280
Speaker 1: You're not. I mean you're not. You're not. I have

1804
01:43:26,360 --> 01:43:31,120
Speaker 1: done that. It's delicious. Okay, that sounds amazing. Yeah. I

1805
01:43:31,120 --> 01:43:32,400
Speaker 1: went through a phase where I thought it would be

1806
01:43:32,400 --> 01:43:33,880
Speaker 1: a good idea I was a kid to like just

1807
01:43:34,000 --> 01:43:36,040
Speaker 1: instead of having cookies and milk, I would just take

1808
01:43:36,080 --> 01:43:37,640
Speaker 1: the cookies and put them in the milk and like

1809
01:43:37,720 --> 01:43:40,639
Speaker 1: mash it up and create this like sort of cookie

1810
01:43:40,680 --> 01:43:42,640
Speaker 1: dough like paste. And then I would just sort of

1811
01:43:42,720 --> 01:43:45,880
Speaker 1: drink it. I mean it was amazing, don't get me wrong,

1812
01:43:46,040 --> 01:43:48,080
Speaker 1: but but it was. You know, that's the thing in

1813
01:43:48,080 --> 01:43:50,120
Speaker 1: Philadelphia like that, we did that all the time when

1814
01:43:50,120 --> 01:43:53,759
Speaker 1: we're kids. Well there you go. Yeah, So I try

1815
01:43:53,800 --> 01:43:57,720
Speaker 1: to come up with with different concoctions. I also to

1816
01:43:57,760 --> 01:43:59,120
Speaker 1: this day. You know, I don't know if you've ever either.

1817
01:43:59,120 --> 01:44:01,280
Speaker 1: Sometimes you have a food ex experience, and I know

1818
01:44:01,320 --> 01:44:03,439
Speaker 1: I've had this with alcohol too in my youth. In

1819
01:44:03,520 --> 01:44:05,720
Speaker 1: my youth where you have a bad experience and you

1820
01:44:05,800 --> 01:44:07,560
Speaker 1: just can never think of that food or drink the

1821
01:44:07,600 --> 01:44:11,720
Speaker 1: same way. I had so much, uh what is it,

1822
01:44:12,080 --> 01:44:15,120
Speaker 1: tuna melts. I made myself so many tuna melts growing up.

1823
01:44:15,479 --> 01:44:17,760
Speaker 1: I haven't had a tunamount like twenty years because I

1824
01:44:17,880 --> 01:44:20,720
Speaker 1: just for me tuna melt is. And don't even get

1825
01:44:20,760 --> 01:44:22,920
Speaker 1: me started on my pet peeve. In the food world,

1826
01:44:22,960 --> 01:44:26,599
Speaker 1: which is of course sun dried tomatoes, people are like, no, buck,

1827
01:44:26,600 --> 01:44:28,320
Speaker 1: they're good. I say, think about this for a second.

1828
01:44:28,560 --> 01:44:30,400
Speaker 1: What is the dish that you have sun dried tomatoes

1829
01:44:30,400 --> 01:44:33,040
Speaker 1: and you're like, oh, I really needed this weird, chewy,

1830
01:44:33,240 --> 01:44:36,720
Speaker 1: kind of funky smelling and tasting thing in it. Give

1831
01:44:36,760 --> 01:44:38,559
Speaker 1: me a pasta dish that has sun tried to sun

1832
01:44:38,600 --> 01:44:40,360
Speaker 1: dried tomato in the sauce, and I'll tell you to

1833
01:44:40,360 --> 01:44:42,559
Speaker 1: take it out, and you're like, wow, buckets better. Sun

1834
01:44:42,640 --> 01:44:46,439
Speaker 1: dried tomato is the uninvited guest in your food world.

1835
01:44:46,760 --> 01:44:48,720
Speaker 1: You need to kick him out. Don't let him stay

1836
01:44:48,720 --> 01:44:50,800
Speaker 1: in the outhouse. Don't let him stay in the guesthouse

1837
01:44:51,080 --> 01:44:55,599
Speaker 1: sun dried tomato. You and I have beef. Uh, let's

1838
01:44:55,600 --> 01:45:00,760
Speaker 1: see what else we get here, um, Suzanne, Ah, Susannah,

1839
01:45:00,840 --> 01:45:02,800
Speaker 1: pardon me, good morning, buck I was listening to your

1840
01:45:02,800 --> 01:45:05,840
Speaker 1: Wednesday podcast and I got to your hug section and

1841
01:45:05,880 --> 01:45:07,880
Speaker 1: I would not be afraid for a second to give

1842
01:45:08,000 --> 01:45:11,000
Speaker 1: you a hug. Thank you, Susanna. I appreciate it. Hug

1843
01:45:11,120 --> 01:45:15,800
Speaker 1: hug accepted. Humans need positive physical touch daily. Hugs are

1844
01:45:15,800 --> 01:45:18,400
Speaker 1: powerful and potent. No words needed, as actions speak so

1845
01:45:18,479 --> 01:45:21,040
Speaker 1: much louder in so many ways. Love your show and

1846
01:45:21,080 --> 01:45:25,240
Speaker 1: appreciate all your efforts to provide. Consider yourself hugged from Susannah.

1847
01:45:25,240 --> 01:45:28,719
Speaker 1: Thank you so much, Susannah. One of the few hugg

1848
01:45:28,760 --> 01:45:31,559
Speaker 1: a news anchor or hugging newsperson day hugs I got,

1849
01:45:32,439 --> 01:45:35,160
Speaker 1: so I do really appreciate it. And on the the

1850
01:45:35,160 --> 01:45:38,920
Speaker 1: the health benefits of hugging, it is true, lowers your

1851
01:45:38,920 --> 01:45:41,120
Speaker 1: blood pressure. It's kind of like a dog if you

1852
01:45:41,120 --> 01:45:43,000
Speaker 1: think of all the good stuff from having a dog

1853
01:45:43,200 --> 01:45:45,200
Speaker 1: and all the good stuff of hugging a human being

1854
01:45:46,200 --> 01:45:49,120
Speaker 1: very similar. By the way, today, I'm not I'm not

1855
01:45:49,120 --> 01:45:50,880
Speaker 1: trying to start something. I'm not trying to start a fight.

1856
01:45:51,120 --> 01:45:52,559
Speaker 1: And because people get very mad at me when I

1857
01:45:52,560 --> 01:45:55,479
Speaker 1: go in this direction, especially Miss Molly who loves pit polls.

1858
01:45:56,160 --> 01:45:59,240
Speaker 1: But I was on the subway and I was standing

1859
01:45:59,320 --> 01:46:01,479
Speaker 1: right next to on one who had brought on a

1860
01:46:01,560 --> 01:46:04,520
Speaker 1: service It had a little service dog jacket on it.

1861
01:46:04,520 --> 01:46:06,519
Speaker 1: It was like an eighty pound pit bull. I mean

1862
01:46:06,560 --> 01:46:08,240
Speaker 1: it was like one of those pit bulls you see

1863
01:46:08,439 --> 01:46:12,000
Speaker 1: that you're like a pit bull versus grizzly bear. I

1864
01:46:12,000 --> 01:46:13,679
Speaker 1: think pit bulls coming out of this one on top

1865
01:46:13,760 --> 01:46:15,360
Speaker 1: like it was that kind of a pit bull, And

1866
01:46:15,400 --> 01:46:21,559
Speaker 1: I'm like, service dog. Really, Apparently apparently there are eighty

1867
01:46:21,600 --> 01:46:24,200
Speaker 1: pound pit bull service dogs in New York City now

1868
01:46:24,560 --> 01:46:26,759
Speaker 1: that look like they could bench press about three fifty

1869
01:46:26,800 --> 01:46:30,280
Speaker 1: with their four paws. I mean that that's chest like

1870
01:46:30,360 --> 01:46:33,439
Speaker 1: an anvil. This thing had this my life. She was here,

1871
01:46:33,439 --> 01:46:35,360
Speaker 1: she'd be like, but it's so cute. She thinks she

1872
01:46:35,400 --> 01:46:38,439
Speaker 1: loves she loves pitts. So At, you're like Buck. You

1873
01:46:38,520 --> 01:46:40,599
Speaker 1: probably like fruit fruit dogs because they're from New York.

1874
01:46:41,200 --> 01:46:44,559
Speaker 1: Guilty as charged. I was in the elevator earlier today

1875
01:46:45,000 --> 01:46:47,160
Speaker 1: in my building and there was a lady who had

1876
01:46:47,160 --> 01:46:50,080
Speaker 1: a dog, a rare dog, a rare breed of dog.

1877
01:46:50,439 --> 01:46:52,360
Speaker 1: And I knew it right off that. I said, Madam,

1878
01:46:52,439 --> 01:46:54,599
Speaker 1: is that a Pepillon you have? And she said yes,

1879
01:46:54,600 --> 01:46:59,120
Speaker 1: How did you know? And I said, dogs under twenty pounds, madam,

1880
01:46:59,160 --> 01:47:01,320
Speaker 1: You're right my wheel house. I know what's going on

1881
01:47:01,400 --> 01:47:04,439
Speaker 1: with all that stuff, alright. Next up here we have

1882
01:47:05,760 --> 01:47:09,880
Speaker 1: uh Kalin, who writes I work at Liberty University. I

1883
01:47:09,880 --> 01:47:11,599
Speaker 1: don't have any poll but it would be really cool

1884
01:47:11,640 --> 01:47:16,559
Speaker 1: if you could speak at convocation there. Oh yeah, that

1885
01:47:16,600 --> 01:47:19,200
Speaker 1: sounds great, Calin. Tell her people to reach out. I'd

1886
01:47:19,240 --> 01:47:21,200
Speaker 1: be happy that. Where where is Liberty by the way,

1887
01:47:21,240 --> 01:47:23,280
Speaker 1: I don't I gotta I know of it, but I

1888
01:47:23,320 --> 01:47:27,280
Speaker 1: forget where it is. Close enough, Well, we'll figure it out. Yeah,

1889
01:47:27,360 --> 01:47:30,200
Speaker 1: So there you have it, um Michael, I was speaking

1890
01:47:30,200 --> 01:47:35,080
Speaker 1: of dogs. Labs have been the number one breed in

1891
01:47:35,120 --> 01:47:38,639
Speaker 1: the US for twenty seven straight years, almost as long

1892
01:47:38,680 --> 01:47:41,519
Speaker 1: as the Ford f one fifty. That's a pickup truck

1893
01:47:41,560 --> 01:47:44,920
Speaker 1: for you City slickers has been the number one selling vehicle.

1894
01:47:45,200 --> 01:47:48,720
Speaker 1: I know labs are great. I mean labs are You

1895
01:47:48,800 --> 01:47:50,960
Speaker 1: can't go wrong with the lab that I will say,

1896
01:47:51,000 --> 01:47:53,040
Speaker 1: you can't go wrong with the lab. There want wonderful,

1897
01:47:53,080 --> 01:47:56,040
Speaker 1: wonderful dogs. Alright, one more and then unfortunately got a

1898
01:47:56,040 --> 01:47:57,840
Speaker 1: close See this is like among my favorite parts of

1899
01:47:57,840 --> 01:47:59,120
Speaker 1: the show because it makes me feel like all of

1900
01:47:59,160 --> 01:48:01,439
Speaker 1: you are hanging out here with me. Tomorrow we'll have

1901
01:48:01,479 --> 01:48:04,360
Speaker 1: better music. That harmonica dubstep music was really that was

1902
01:48:04,600 --> 01:48:06,919
Speaker 1: that's I just sort of picked some at random sometimes

1903
01:48:07,240 --> 01:48:08,720
Speaker 1: like I pick it out of a cart. We have

1904
01:48:08,800 --> 01:48:13,760
Speaker 1: of different music, and that was some wacko stuff. Uh, Sandy,

1905
01:48:13,960 --> 01:48:16,840
Speaker 1: Hi buck tonight was awesome. You made me laugh all night.

1906
01:48:16,880 --> 01:48:19,759
Speaker 1: I turned fifty today and you made this scary day better.

1907
01:48:19,960 --> 01:48:24,040
Speaker 1: Good job well, Sandy, happy fiftieth birthday. And I can't

1908
01:48:24,040 --> 01:48:25,960
Speaker 1: actually see a photo of you, but you don't look

1909
01:48:26,000 --> 01:48:29,960
Speaker 1: a day over thirty. I hope you had a great birthday.

1910
01:48:30,680 --> 01:48:32,519
Speaker 1: Now I've got a freedom I've got a freedom Hut

1911
01:48:32,520 --> 01:48:35,040
Speaker 1: squad team member for life. That's how we do in

1912
01:48:35,120 --> 01:48:37,320
Speaker 1: the media business. All right, everyone, I gotta close it

1913
01:48:37,400 --> 01:48:39,840
Speaker 1: up here for today tomorrow Freestyle Friday, which means we

1914
01:48:39,880 --> 01:48:42,120
Speaker 1: will have a lot of fun as well as some

1915
01:48:42,160 --> 01:48:44,880
Speaker 1: substance as we always do here on the show, some

1916
01:48:44,960 --> 01:48:47,800
Speaker 1: of your thoughts, Facebook dot com, slash box Sexton, and

1917
01:48:47,920 --> 01:48:50,639
Speaker 1: we'll get it up on the air until tomorrow, my friends,

1918
01:48:51,160 --> 01:48:52,800
Speaker 1: Shields High