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Speaker 1: Mr garbusch 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

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Speaker 1: are satisfied with is not. When President of the United

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Speaker 1: State take it to a bank together, we will make

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Speaker 1: America great again. We'll never sharend. It's what you've been

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Speaker 1: waiting for all day. The buck Sexton Show joined the

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Speaker 1: conversation called buck toll Free at eight four four nine

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Speaker 1: hundred Buck. That's eight four four nine hundred to eight

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Speaker 1: to five the future of talk radio. Buck Sexton, the Makers,

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Speaker 1: you said that you would be open to signing just

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Speaker 1: about any immigration deal that that vicar partisan group of

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Speaker 1: blockmakers said to you. Would you be willing to sign

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Speaker 1: an immigration deal that ultimately does not include funding for

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Speaker 1: the border wall or would that be for you? No,

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Speaker 1: it's got to include the wall. We need the wall

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Speaker 1: for security, we need the wall for safety, we need

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Speaker 1: the wall for stopping the drugs from pouring in. I

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Speaker 1: would imagine that the people in the room, both Democrat

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Speaker 1: and Republican, I really believe they're gonna come up with

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Speaker 1: a solution to the DUCA problem, which has been going

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Speaker 1: on for a long time, and maybe beyond that immigration

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Speaker 1: as a whole. But any solution has to include the wall,

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Speaker 1: because without the wall, it all doesn't work. Without the wall,

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Speaker 1: it all doesn't work. Buck Sexton here, thank you so

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Speaker 1: much for joining me in the Freedom Hut, My friends, colleagues,

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Speaker 1: fellow patriots. Good to have you with me. As always,

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Speaker 1: that was President Trump earlier today. You will note I

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Speaker 1: I hope that yesterday we're throwing up the panic flag

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Speaker 1: a little bit because the presidents had a very interesting

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Speaker 1: immigration meeting with members of Congress that was televised. We

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Speaker 1: could see the give and take of the legislative debate

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Speaker 1: process in action. People are worried because the President said

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Speaker 1: it needs to be a bill of love, and he

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Speaker 1: would be willing to take the heat. But today he's

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Speaker 1: saying there has to be a wall. And you know what,

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Speaker 1: if the president gets that wall, think think about the

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Speaker 1: message that that's gonna send to the base, to the Democrats,

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Speaker 1: to the left, everybody. It's gonna show a president who

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Speaker 1: follows through on not just some promises, but core promises, central,

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Speaker 1: central to his platform, to his agenda. And wow, that

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Speaker 1: would be rocket fuel for the rest of the Trump term.

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Speaker 1: Or terms. As I see it, it would be a

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Speaker 1: phenomenal if he manages to get that. So I think

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Speaker 1: we should take some degree of reassurance from the president's

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Speaker 1: statements today very clear. I don't know how he could

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Speaker 1: be more clear about how we're gonna have a wall. Well,

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Speaker 1: one thing else that was interesting about yesterday didn't really

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Speaker 1: get enough attention, in my opinion, and that is not

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Speaker 1: only did the President show and I said this on

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Speaker 1: the show yesterday, but show us that it's on Congress right,

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Speaker 1: they have to put something in front of him to sign,

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Speaker 1: and if they come up with nothing, it can't be

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Speaker 1: all the President didn't lead or whatever. He has said

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Speaker 1: what the key points are of an immigration deal. He

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Speaker 1: has made it very straightforward in terms of what he wants,

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Speaker 1: and now Congress has to get it done and he

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Speaker 1: says he will sign it. But there was a secondary

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Speaker 1: purpose that did not get nearly enough. I think play

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Speaker 1: some perhaps caught on a bit later in the game,

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Speaker 1: and I just wanted to take a take a ulligan,

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Speaker 1: take another another shot at this one. Jake Tapper even

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Speaker 1: over at CNN, if you're wondering if pushing aside those

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Speaker 1: concerns was at least partly the point of these on

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Speaker 1: camera negotiations for the Bill of Love. You're not being cynical,

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Speaker 1: You're being correct. And in fact, the Republican National Committee

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Speaker 1: Rapid Response director sent out this take on the meeting quote.

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Speaker 1: Many in the media has spent the last week hyper

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Speaker 1: ventilating over a phony writer's opinions, But the American people

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Speaker 1: just witnessed President trumpily arguably the most transparent substantive policy

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Speaker 1: discussion with Congress maybe ever. So this is a very

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Speaker 1: important that was tappered CNN. And just because Tapper says

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Speaker 1: it doesn't mean it's wrong. He actually was. He made

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Speaker 1: his name, I will remind you. I mean now he

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Speaker 1: does a lot of a lot of CNN's bidding and

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Speaker 1: a lot of anti Trump stuff. I'm very clear on that.

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Speaker 1: But he made his name back I think when he

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Speaker 1: was an ABC reporter by just occasionally asking President Obama's

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Speaker 1: White House Press secretary or a bound himself a real question,

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Speaker 1: not how does it feel to be this artist person

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Speaker 1: in the history of the world, the most amazing, the

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Speaker 1: most moral, the most handsome, the most perfect. He would

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Speaker 1: actually ask occasionally, I'm not saying a lot, you know,

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Speaker 1: it was once in a while, but he would ask

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Speaker 1: a real question, Oh Jack Tapper, how could you? But

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Speaker 1: his point there is worth noting. Or he's really actually

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Speaker 1: illustrating or highlighting a point that somebody else made. And

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Speaker 1: that is one of the effects of yesterday. And look

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Speaker 1: this That was a Trump administration decision right to to

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Speaker 1: televise it in that way, to show it, to bring

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Speaker 1: us into the discussion, to bring the American people into

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Speaker 1: the thick of the immigration debate, with the members of

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Speaker 1: Congress there and we're seeing what they're saying, we're seeing

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Speaker 1: the questions, we're seeing it in real time. Not only

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Speaker 1: did it give us a particular window into what is

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Speaker 1: among the most important policy issues facing this country, it

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Speaker 1: is really an existential issue for the United States of

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Speaker 1: America in the long term. Forget climate change, this other stuff,

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Speaker 1: huge threat immigration. If we don't get this right, the

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Speaker 1: country changes and not for the better forever. Those are

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Speaker 1: the stakes right now of the immigration discussion and debate.

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Speaker 1: But the secondary component of it was that Trump Trump

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Speaker 1: was able to smack down this Michael Wolf Fire and

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Speaker 1: Fury book. As an aside, there's a book from the

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Speaker 1: Second World War, I believe called Fire and Fury that

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Speaker 1: has shot up to the top of the best seller

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Speaker 1: list because people are buying that book. It just happens

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Speaker 1: to be called Fire and Fury. That guy has got

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Speaker 1: to be psyched, right, That's that's great. You know, all

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Speaker 1: of a sudden, the book was published like a decade ago,

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Speaker 1: people like I need Fire and Furious. You know, something

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Speaker 1: about some might even be a great book. I have

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Speaker 1: no idea, but I think it's battles from the Second

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Speaker 1: World War. Uh. But by having the press conference, letting

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Speaker 1: the American people see how does Trump interact with members

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Speaker 1: of Congress, How does he run that kind of a meeting?

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Speaker 1: How does he handle that give and take of debate

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Speaker 1: and discussion. Any honest person would see that and say

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Speaker 1: to themselves, hold on a second. This is the president

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Speaker 1: who's crazy. This is the president who can't string a

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Speaker 1: string together a sentence. This is the president who has

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Speaker 1: no ideas and has no leadership. And all the stuff

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Speaker 1: that's in there right is sloppy, insane. Seen all these things,

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Speaker 1: I mean, all this just junk. They're trying to pile

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Speaker 1: in Trump. You watch that meeting yesterday, and not only

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Speaker 1: did you see what's going on with the immigration policy debate.

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Speaker 1: But you saw the President United States in action in

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Speaker 1: a way that just blows to smithereens this whole narrative

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Speaker 1: of the book fire and fury. So it was a

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Speaker 1: two for It was a double whammy. This is what

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Speaker 1: Trump has to do. This is what this admitted station

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Speaker 1: must continue to do, and that is to get around

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Speaker 1: or defeat the naysayers. Yes, as Trump puts it, the haters,

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Speaker 1: the liars, the fake news, all of that with success,

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Speaker 1: with results. The economy already is and you see it

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Speaker 1: with all these different metrics, and you've got titans of

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Speaker 1: industry and many of the smartest people on Wall Street,

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Speaker 1: in manufacturing sector, in the entrepreneurial world. They're all saying, look,

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Speaker 1: I don't even like Trump. I don't even like Trump's

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Speaker 1: policies on X, Y or z outside of the economy. Right,

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Speaker 1: maybe they disagree with them on this or that, but

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Speaker 1: on but when it comes to economic optimism and the

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Speaker 1: markets and hiring and wages, and which was also central,

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Speaker 1: all of that was central to the Trump message, which

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Speaker 1: is that the you know, the forgotten men and women

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Speaker 1: of this country in these differ sectors, competing with offshoring

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Speaker 1: of jobs, competing with the importation of cheap illegal foreign labor.

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Speaker 1: All of that, stagnant wages and a sense that you

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Speaker 1: can't get ahead. Trump is so far following through on

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Speaker 1: those promises and doing it with results, not just words,

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Speaker 1: not just a lot of you know, a lot of

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Speaker 1: jaw jaw, a lot of you know yadida talking about stuff. No,

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Speaker 1: Trump is making it happen. This is why I don't

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Speaker 1: get to spun up. I don't get we used to

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Speaker 1: say people would say the bureaucracy, you know, it gives

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Speaker 1: me heartburn, um, but I don't get over uh over anxious.

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Speaker 1: I don't get upset. I don't get wrapped around the

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Speaker 1: axle when Trump tweets something that I'm like, well, I

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Speaker 1: don't really know what he's I wouldn't have done that.

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Speaker 1: But it doesn't matter. It doesn't matter. And also, all

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Speaker 1: these people who have been so desperate to make you

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Speaker 1: think that it matters in the media and elsewhere. Maybe

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Speaker 1: they're your neighbors, maybe they're people see at work or

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Speaker 1: the people you see on TV. They're wrong. They've been

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Speaker 1: wrong so far, and it's one of the reasons that

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Speaker 1: I think we've we've begun to see a phenomenon that

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Speaker 1: will continue to play out, which is that the more

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Speaker 1: this is crazy, I know, but just stay with me

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Speaker 1: on it, the more successful this presidency is. And I

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Speaker 1: don't mean in rhetorical terms. I don't mean in slapping

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Speaker 1: down the fake news, as much as I love that,

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Speaker 1: and it is a fantastic spectator sport, and I try

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Speaker 1: to do my fair share of bucks slaps here as well.

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Speaker 1: I try to, you know, make sure that we hold

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Speaker 1: these different media entities to account and give them a

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Speaker 1: free ride on the school bus once in a while.

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Speaker 1: But the more successful Trump is, the more they will

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Speaker 1: hate him. Because the more successful he is, the more

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Speaker 1: obvious it becomes to anybody who has had any doubts

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Speaker 1: that they've been lying about this administration. They've been stacking

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Speaker 1: the deck against him. They've been doing everything in their

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Speaker 1: power to prevent the very successes that are just beginning,

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Speaker 1: just beginning to become irrefutable, strong market, strong economy regular

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Speaker 1: I'm gonna talk to you about regulations later in the show.

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Speaker 1: People are becoming believers, you know, And it's kind of

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Speaker 1: amazing that it's taken this long in a sense, because

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Speaker 1: the regulatory environment of the obamaministration was in. You're gonna

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Speaker 1: talk about insanity. It was insane. And you know, whether

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Speaker 1: you agree with Trump or not, whether you know, whether

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Speaker 1: you're somebody that likes the tweeting hates the tweeting. If

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Speaker 1: you're trying to run a small business and all of

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Speaker 1: a sudden you don't have to spend dozens of hours

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Speaker 1: and thousands or tens of thousands of dollars complying with

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Speaker 1: with completely bizarre, useless owners federal regulations, you start to think,

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Speaker 1: maybe this Trump guys onto something, Maybe he's got something

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Speaker 1: going here. It is all about results, it's all about

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Speaker 1: doing things that benefit the American people. And what as

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Speaker 1: I said, it will be amazing to watch it play

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Speaker 1: out because the bed the more successful Trump is, the

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Speaker 1: louder they'll squream about Russia, the louder they will yell

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Speaker 1: about how he's needs to be taken out of office

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Speaker 1: by the twenty five amendment. I mean, they won't quit,

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Speaker 1: they will not stop. And that's why the only response

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Speaker 1: that Trump can and will have is the courage of

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Speaker 1: his convictions and the implementation of an agenda that we're

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Speaker 1: already saying it is already working. But immigration, immigration, is key,

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Speaker 1: and we can't take the pressure off, can't take the

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Speaker 1: heat off here, presidents at a wall today, I'm hearing

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Speaker 1: things about a wall in you know, within ten years

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Speaker 1: we'll have a seven miles Okay, I mean, let's let's

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Speaker 1: get the first hundred on the books. A S A P.

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Speaker 1: You know, I don't want this to be Yeah, we're

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Speaker 1: gonna have a wall, but by the time we have

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Speaker 1: a wall, everybody's gonna have a jet pack, because then

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Speaker 1: a wall won't won't really be that useful. You know.

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Speaker 1: If it's like the future of the jetsins where people

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Speaker 1: can fly around and little flying cars or jet packs

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Speaker 1: or whatever they've got everywhere, a wall is not gonna

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Speaker 1: be as good. Okay, we can't wait fifty years for

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Speaker 1: a wall. Need a wall to start now, so we'll

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Speaker 1: talk more about that. And also the most I can't

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Speaker 1: even say it. It's tough with superlatives because the left

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Speaker 1: is so dishonest, unfair and crazy, particularly when it comes

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Speaker 1: to dealing with this White House and dealing with the

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Speaker 1: Republican Party right now, that to say it's the craziest

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Speaker 1: judicial decision ever or the craziest judicial decision ever under Trump,

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Speaker 1: I mean, I'm not sure, but it's close. It's close

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Speaker 1: to the worst court decisions mandating a federal judge in

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Speaker 1: California has been. This just came out today I read.

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Speaker 1: The first thing I did this morning is probably why

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Speaker 1: I threw my neck out. I was so annoyed I

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Speaker 1: did of my neck is killing me right now. But

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Speaker 1: first thing I did today, and I like a lie,

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Speaker 1: I did it in better read through on my phone

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Speaker 1: forty nine pages of a decision from a circuit court

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Speaker 1: judge in California, where the short version I'll get into

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Speaker 1: a longer version with you in a few minutes because

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Speaker 1: it's worth exploring at But the short word version is

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Speaker 1: one judge thinks that he can usurp the executive branch

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Speaker 1: chiefs prerogative can essentially tell him how to use his discretion.

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Speaker 1: Some judge in California is telling Trump this is your call,

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Speaker 1: and this is how you're gonna make the call when

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Speaker 1: it comes to immigration, specifically to DACA. I'll work, I'll

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Speaker 1: talk you through, we'll go through the details. It's important

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Speaker 1: at all. But it's just hashtag resistance, resistance. Pardon me,

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Speaker 1: hashtag resistance, never Trump nonsense from yet another judge out

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Speaker 1: on the left coast. We'll get into that packed show today.

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Speaker 1: My friends a lot I want to talk to you about,

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Speaker 1: but also want to hear from you two of course

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Speaker 1: eight four or four to eight to five, eight four

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Speaker 1: four nine, Buck, I'll be right back their instances. Look

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Speaker 1: at what happened in Israel. They put up the wall.

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Speaker 1: They sailed solved the very major problem. We need the wall.

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Speaker 1: We have to have the wall for security purposes, securities

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Speaker 1: number one, and so the answers have to have the wall.

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Speaker 1: Thank you. I have to have the wall, Presidents, making

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Speaker 1: it very clear, Bucks accent back with you here on

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Speaker 1: the Buck Sexton Show. We wanted to take some of

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Speaker 1: your calls before we get our next guest coming up.

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Speaker 1: Who's going to be the acting Director of Immigrations and

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Speaker 1: Customs Enforcement. We got him joining us on the show.

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Speaker 1: Director Homan will be with us, Thomas Homan, and can

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Speaker 1: tell us about what's the reality right now of illegal

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Speaker 1: immigrants crossing into the country, crossings in the country, also

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Speaker 1: workplace enforcement, a bunch of raids at seven elevens across

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Speaker 1: the country. We got the guy at the top of

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Speaker 1: the Immigrations and Customs Enforcement Agency of the United States

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Speaker 1: to join us here in just a few minutes to

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Speaker 1: address that. So he'll give us a real view of

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Speaker 1: what's what's the ground truth of all this, right, what's

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Speaker 1: really happening out there, so we can factor that in

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Speaker 1: when we're talking about Trump and immigration everything's doing. But

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Speaker 1: he noted there with Israel that that also came from

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Speaker 1: a press con or some questions with the press were

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Speaker 1: able to pose earlier today. And yeah, Israel, I mean

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Speaker 1: I remembered I was actually spending a lot of time

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Speaker 1: studying Israel and Israeli Palestinian issues at the time I

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Speaker 1: was in school, but I had I've been working at

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Speaker 1: a Midi stink tank and working on that issue specifically

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Speaker 1: was very much front of mind. And Israel had a

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Speaker 1: terrible time with suicide bombers and other Palestinian terrorists who

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Speaker 1: were coming in the country and just wreaking havoc and carnage,

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Speaker 1: and it was terrible. They built a wall and it

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Speaker 1: stopped it just And I'm not saying that was the

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Speaker 1: only thing. Israel has a tremendous security service beyond just

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Speaker 1: the wall, right, But no one saying the wall would

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Speaker 1: be the only thing either, But it helped whole hell

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Speaker 1: of a lot. We'll talk to our acting Immigrations and

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Speaker 1: Customs Enforcement head in just a few moments here, so

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Speaker 1: stay with me for that. Tim in Ohio, Welcome to

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Speaker 1: the Buck Sexton Show. Listen. First, before we get the immigration,

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Speaker 1: I want to tell you a few comments about your

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Speaker 1: Shields High episode. Oh sure. I played the Charles Mantel

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Speaker 1: and the Day of podcast for the guys in the

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Speaker 1: show on the other day and everybody loved it. We

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Speaker 1: had a we Gotta we gone after and everybody loved

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Speaker 1: it there. So my question is, well, thank you. I'm

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Speaker 1: coming out the next was coming out on Monday, Monday, Monday, Monday,

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Speaker 1: my friend this Monday, next Monday. Get into it. You

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Speaker 1: gotta subscribe iTunes. Oh well, yeah, I'm we're listening. I

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Speaker 1: appreciate it. But I had to throw a plug in there. Tim.

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Speaker 1: You know it goes. Oh we lost him on Habben.

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Speaker 1: We're having so much fun with Tim and he We

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Speaker 1: didn't drop him, did we. You guys just felt like

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Speaker 1: he was saying too many nice things. You just didn't

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Speaker 1: want me to get a swelled head. I know how

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Speaker 1: it is, you know, I do my little history podcast.

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Speaker 1: It starts blowing up all of a sudden, Everyone's like, hey,

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Speaker 1: keep your feet on the ground. Sexton. No, sorry, I

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Speaker 1: don't know what happened there. Apologies Tim from Ohio. We

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Speaker 1: just lost you there for a second. And in Virginia

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Speaker 1: we got about a minute. But we want to get

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Speaker 1: you in. What's up man, Good evening, Mr Sexton. As

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Speaker 1: I wait with helplicating hurt and guesting breath for your

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Speaker 1: show every night, I just have to tell you that

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Speaker 1: you're intro is fabulous. You know, it's timeless. It works

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Speaker 1: all the time. The show intro for this show, okay, cool?

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Speaker 1: You know you know I can tell you this. I

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Speaker 1: actually I actually built that show intro myself. I'm serious. Yeah,

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Speaker 1: I'm a man of many talents. And but thank you

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Speaker 1: for all your support of the show and Shields High.

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Speaker 1: Thank you so much. Thank you and appreciate it. Bye bye. Um.

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Speaker 1: So there we have it. Uh, we've got like I said,

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Speaker 1: we're gonna talk more about immigration. What is the state

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Speaker 1: of legal immigration into the country right now? Can we

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Speaker 1: enforce certain aspects of the law. Well, the answers yes, obviously,

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Speaker 1: much better than we do. I've also got this decision

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Speaker 1: from a court out in California. I read through. I

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Speaker 1: don't know how many other hosts on TV or radio

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Speaker 1: could say this, but I read through the entire thing

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Speaker 1: because I do my own stuff. I read it all.

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Speaker 1: I'll tell you about it. It is. It is a giant, steaming,

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Speaker 1: tri Sarah Tops sized pile of poop. It is terrible.

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Speaker 1: It is the worst legal analysis you will see out

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Speaker 1: of California in a long time. We'll get into that,

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Speaker 1: so stay with Themigoration top of the news cycle today,

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Speaker 1: and we're very fortunate to be joined by Acting ICE

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Speaker 1: Director Thomas Holman, who is with us now on the line. Thomas,

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Speaker 1: thank you so much for calling in. Thank you for

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Speaker 1: having me, sir. Uh First, all right, talk to me

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Speaker 1: a bit about your your reaction to this court ruling

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Speaker 1: that's just effectively telling the Trump administration that they have

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Speaker 1: to act a certain way when it comes to presidential discretion. Look,

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Speaker 1: there's there's so many liberal court rulings out there right

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Speaker 1: now that hamper what we're trying to do. I mean,

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Speaker 1: I got court ruins out there that don't let me

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Speaker 1: remove people that committed serious crimes to this country. I

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Speaker 1: got court rulings that tell me how long I can

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Speaker 1: detain somebody. I mean, this is when when this whole

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Speaker 1: docutor session discussion started, we sent a list of policy

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Speaker 1: and legislative changes up on the hill. There can't be

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Speaker 1: a clean doctor, but we need fixed. We need to

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Speaker 1: fix this system or we're gonna have a doctor discussion

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Speaker 1: ten years from now. Let's finally fix this system, overturn

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Speaker 1: some of these judicial decisions, and and make sense of

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Speaker 1: what we're doing. Use the analogy at a few minutes

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Speaker 1: going on another interview. You know, if you got a

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Speaker 1: leaky tire, you can put air in that tire every day.

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Speaker 1: You can fix the tire. Let's fix this tire. Let's

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Speaker 1: finally fix immigration. This president, under his leadership, we got

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Speaker 1: we had a forty five year LOLd and the illegal

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Speaker 1: immigration crossings. We're on the right trail. Let us, let

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Speaker 1: us fix us. Let us make these changes to fix

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Speaker 1: the problem once for for all. So you know, if

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Speaker 1: you want to have a doctor deal, then you've got

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Speaker 1: to fix underlying problems with We can't do a clean

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Speaker 1: doctor deal that. We we need a wall, we need

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Speaker 1: inter your enforcement. We need to be able to remove

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Speaker 1: people that violate the loss this country. We need some

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Speaker 1: of these court decisions overturned. We need to be able

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Speaker 1: to do our job and protect this country. Tell me

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Speaker 1: about these UH, you're the acting Director of Immigrations and

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Speaker 1: Customs Enforcement. What were these raids? What happened? Here's some

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Speaker 1: reporting today about seven elevens nationwide UH targeted in anti

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Speaker 1: illegal immigration employment rates. Well, like I said, when I

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Speaker 1: became a director, I gave a commitment, we're gonna we're

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Speaker 1: gonna step up work site enforcement. It's against the law

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Speaker 1: to her and he go ailing to work. UH. And

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Speaker 1: it's as an as an enticement to for the immigration people.

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Speaker 1: You know they're going to if they're lucky enough to

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Speaker 1: get by the bordatrow. They're come here to work. They're

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Speaker 1: coming here to make money, they're coming here to be

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Speaker 1: with family. We got to take that magnet away. Is

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Speaker 1: against the law of heart illegal amilies. That we're going

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Speaker 1: to force a law that for increase in those investigations

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Speaker 1: this year. This is a nationwide investigation. We're gonna hit

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Speaker 1: small companies, gonna hit big companies, go minium sized companies.

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Speaker 1: We're going to enforce law. We need to. We need

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Speaker 1: to remove that magnet that just infices more illegal immigration,

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Speaker 1: more people guy could try to come to this country

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Speaker 1: and work more BORD relations. We put at risk, more

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Speaker 1: of my officers put at risk for immigration. This is

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Speaker 1: one piece of the puzzle that we have to fix

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Speaker 1: to to really fix the border problem and secure that border.

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Speaker 1: Director Holman, is the Trump administration committed to e verify

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Speaker 1: as part of the package for this immigration negotiation currently,

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Speaker 1: and what can you tell us about the effectiveness of

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Speaker 1: e verifying? Well, look, I I know that part of

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Speaker 1: our policy request. You know, there's a store A few

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Speaker 1: weeks ago, you know, myself to Bord Patrol at CBP

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Speaker 1: and CIS got together and we put a list of

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Speaker 1: policy objectives and legislative jet because we sent them up

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Speaker 1: to the Hill in their discussions on DOCUCN and these

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Speaker 1: are things we need to fix the system with. And

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Speaker 1: there's a story that I think came from the White Houses. No, No,

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Speaker 1: this coming from career law enforce and officers. I've been

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Speaker 1: doing this thirty four years. This was my list, this

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Speaker 1: was the head of the CPPs list. We sent these

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Speaker 1: up there and he verifies one of them. Look, you

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Speaker 1: verify does work and and it should be required. So

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Speaker 1: I don't know what's going to what they're going to

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Speaker 1: be side up in hill again. I'm a law enforce

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Speaker 1: and agency. I'm going to enforce Laws A and Act,

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Speaker 1: and I'll stopping forcing Laws A repeal. But I'm hoping

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Speaker 1: that everybody agrees im illegal immigration is a problem. We

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Speaker 1: have three career law enforcing officers who've told you what

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Speaker 1: the loopholes are, where the shortages are, what we can

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Speaker 1: fix to end this. I hope they take it seriously

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Speaker 1: and fix this once and for all. I was I

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Speaker 1: was here in during the last ark in the amnesty

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Speaker 1: and then they promised, you know, serious worksite enforcement then,

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Speaker 1: but we never got the resources the authorities to do it.

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Speaker 1: We're saying right now, we're talking about any discussion on DOCTA,

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Speaker 1: Let's have a serious discussion how we fix this problem

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Speaker 1: once and for all. And that what we sent up there,

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Speaker 1: and he verified was on a list of things were

427
00:24:02,320 --> 00:24:04,639
Speaker 1: sent up there we wanted to consider. We're speaking to

428
00:24:04,960 --> 00:24:10,359
Speaker 1: Acting Immigrations and Customs Enforcement Director Thomas Holman. Director Director

429
00:24:10,359 --> 00:24:14,280
Speaker 1: Holman tell me about the current state of illegal crossings,

430
00:24:14,280 --> 00:24:16,240
Speaker 1: because in the New York Times just put out a

431
00:24:16,280 --> 00:24:19,879
Speaker 1: peace saying that, well, here's a quote. Shelters along the

432
00:24:19,880 --> 00:24:22,720
Speaker 1: southern border are filling up. Immigration lawyers in the regions

433
00:24:22,720 --> 00:24:26,719
Speaker 1: say caseloads are spiking and across the southwest border officers

434
00:24:26,760 --> 00:24:29,679
Speaker 1: are stopping more than a thousand people a day. Is

435
00:24:29,680 --> 00:24:32,720
Speaker 1: there a surge right now? What's going on the numbers

436
00:24:32,720 --> 00:24:35,479
Speaker 1: of family First of all, the overall numbers are down,

437
00:24:35,560 --> 00:24:38,160
Speaker 1: but there is an increased recent increase in the number

438
00:24:38,160 --> 00:24:41,040
Speaker 1: of family units and on the company children. And there's

439
00:24:41,040 --> 00:24:43,600
Speaker 1: a reason for that. You know. Again, we have asked

440
00:24:43,640 --> 00:24:45,119
Speaker 1: for changes in a lot of t v p R

441
00:24:45,160 --> 00:24:48,160
Speaker 1: as a Trafficking Vitnam Protection actors. I think it's from

442
00:24:48,200 --> 00:24:51,000
Speaker 1: two thousand and eight, is followed the Homeland Security built

443
00:24:51,000 --> 00:24:53,200
Speaker 1: two thousand two and if if if you're on a

444
00:24:53,280 --> 00:24:55,320
Speaker 1: company child under the a j T and you are,

445
00:24:55,320 --> 00:24:58,400
Speaker 1: you're if you're from Excre Canada. Once we determined you're

446
00:24:58,400 --> 00:25:01,080
Speaker 1: not a victim of trafficking, we can remove them to

447
00:25:01,160 --> 00:25:03,840
Speaker 1: these countries. However, the t v p r A makes

448
00:25:03,840 --> 00:25:09,560
Speaker 1: it impossible us to remove children to like Central America, Honduras, Salvador, Guatemala,

449
00:25:09,600 --> 00:25:11,960
Speaker 1: where most of these kids are coming from. So that's

450
00:25:11,960 --> 00:25:13,359
Speaker 1: one of the things we sent to the healthy We

451
00:25:13,440 --> 00:25:15,960
Speaker 1: show fix the t v p R A it's being abused.

452
00:25:17,000 --> 00:25:19,040
Speaker 1: It had a good intention, but it's being abused in

453
00:25:19,080 --> 00:25:21,439
Speaker 1: the loopholes in that system. These kids want they get

454
00:25:21,480 --> 00:25:24,000
Speaker 1: released to a parent or sponsor. They're in to win.

455
00:25:24,640 --> 00:25:26,560
Speaker 1: And if they do show up in court, which many

456
00:25:26,560 --> 00:25:28,880
Speaker 1: of them don't, uh, they get a court or they're

457
00:25:28,880 --> 00:25:30,400
Speaker 1: not going to leave, they're going to win. So we're

458
00:25:30,440 --> 00:25:33,720
Speaker 1: asking for changes in that legislation to help. When once

459
00:25:33,800 --> 00:25:35,560
Speaker 1: we get those changes, you're going to see those numbers

460
00:25:35,640 --> 00:25:38,440
Speaker 1: drop significantly. As far as the family units, that's another

461
00:25:38,480 --> 00:25:41,280
Speaker 1: court decision. That's another decision on the Ninth Circuit, and

462
00:25:41,440 --> 00:25:44,760
Speaker 1: in the floor's decision settle my agreement, where they're telling

463
00:25:44,840 --> 00:25:47,760
Speaker 1: us we can only hold these family units for a

464
00:25:47,840 --> 00:25:50,000
Speaker 1: certain period of time, less than three weeks. Well, look,

465
00:25:50,440 --> 00:25:52,440
Speaker 1: if you're an illegal Amian family, you're coming to Central

466
00:25:52,440 --> 00:25:54,159
Speaker 1: America to come to the United States. If you know

467
00:25:54,240 --> 00:25:56,240
Speaker 1: you can come, get arrest, turn yourself over, get arrest

468
00:25:56,280 --> 00:25:58,720
Speaker 1: and putting a facility for two weeks and get fed,

469
00:25:58,880 --> 00:26:01,480
Speaker 1: you know, three meals a day, get your vaccinations, get

470
00:26:01,520 --> 00:26:03,760
Speaker 1: your physicals. Don't need to be released in the community.

471
00:26:04,440 --> 00:26:05,920
Speaker 1: That's just a part of them doing business that you

472
00:26:05,960 --> 00:26:08,320
Speaker 1: know they're gonna keep coming so we've asked for a

473
00:26:08,440 --> 00:26:11,520
Speaker 1: change in that lit in that judicial decision, so we

474
00:26:11,600 --> 00:26:15,200
Speaker 1: can hold these people, we remove people, we detain once

475
00:26:15,240 --> 00:26:18,280
Speaker 1: you to release somebody, you know, we don't need they're

476
00:26:18,280 --> 00:26:22,360
Speaker 1: going to win. So those two instances, the two populations

477
00:26:22,440 --> 00:26:25,680
Speaker 1: you see a rise in the border are specifically in

478
00:26:25,840 --> 00:26:29,720
Speaker 1: response to bad court decisions and bad policy. That we've

479
00:26:29,720 --> 00:26:31,639
Speaker 1: asked Commerce to look at both of these things and

480
00:26:31,760 --> 00:26:33,480
Speaker 1: change them as soon as they can. One more for

481
00:26:33,560 --> 00:26:36,879
Speaker 1: your director. There's a lot of debate right now about

482
00:26:37,160 --> 00:26:40,120
Speaker 1: the wall, the President said today and no uncertain terms

483
00:26:40,160 --> 00:26:42,720
Speaker 1: of wall would have to be part of a package

484
00:26:42,720 --> 00:26:46,360
Speaker 1: when it comes to addressing immigration from a legislative perspective.

485
00:26:46,480 --> 00:26:51,280
Speaker 1: Just tell me this. You are currently overseeing thousands of

486
00:26:51,359 --> 00:26:54,480
Speaker 1: agents from Immigrations and Customs enforcement. When you speak to

487
00:26:54,560 --> 00:26:57,520
Speaker 1: the guys and men and women on the front lines

488
00:26:57,600 --> 00:27:01,240
Speaker 1: here of enforcement, are they convinced the wall is a

489
00:27:01,280 --> 00:27:03,399
Speaker 1: good idea? Are you convinced that the wall is a

490
00:27:03,440 --> 00:27:05,840
Speaker 1: good idea? Because the media acts like a wall won't

491
00:27:05,880 --> 00:27:08,080
Speaker 1: do anything, And I look around, I'm like, the history

492
00:27:08,160 --> 00:27:10,040
Speaker 1: has a lot of walls that did a lot. Look

493
00:27:10,520 --> 00:27:12,440
Speaker 1: you know, I I started my career in a Bordertrow.

494
00:27:12,480 --> 00:27:14,760
Speaker 1: I know a lot of Bardastrow agents, and and of

495
00:27:14,840 --> 00:27:17,240
Speaker 1: course I have my own hece agents. I can tell

496
00:27:17,240 --> 00:27:19,240
Speaker 1: you fron own personal experience. I started my career in

497
00:27:19,240 --> 00:27:21,359
Speaker 1: a Boardertrow. I I was in the San Diego sector

498
00:27:21,359 --> 00:27:26,119
Speaker 1: back in eighty six, and we were catching thousands of

499
00:27:26,200 --> 00:27:28,600
Speaker 1: illegal aliens per shift down there in the soccer fields.

500
00:27:28,600 --> 00:27:30,440
Speaker 1: It's out of control. As soon as they put a

501
00:27:30,480 --> 00:27:34,080
Speaker 1: wall up, a barrier up, the numbers plummeted. Every place

502
00:27:34,160 --> 00:27:36,840
Speaker 1: they put that wall, whether San Diego, l Pass or

503
00:27:37,240 --> 00:27:40,600
Speaker 1: some places in Huma. Every place they built the wall,

504
00:27:40,720 --> 00:27:44,560
Speaker 1: it was extremely successful. And you know what, during the

505
00:27:44,640 --> 00:27:48,080
Speaker 1: More Securities Act, it was a byparison, bipartisan support. Everybody's

506
00:27:48,080 --> 00:27:50,840
Speaker 1: supported building this wall. So why would we not This

507
00:27:50,960 --> 00:27:53,760
Speaker 1: has been successful in every place we put it. Why

508
00:27:53,840 --> 00:27:57,159
Speaker 1: would we not want the wall to protect public safety,

509
00:27:57,280 --> 00:27:59,320
Speaker 1: nascal security? What price are you gonna put on that?

510
00:27:59,720 --> 00:28:02,040
Speaker 1: So for those people that want to attack the wall,

511
00:28:02,560 --> 00:28:05,280
Speaker 1: it's worked. Every place that put up, it's proven. It's

512
00:28:05,320 --> 00:28:07,639
Speaker 1: got to come with other technologies and resource and stuff,

513
00:28:07,680 --> 00:28:10,840
Speaker 1: you know, and but the wall works. I support the wall.

514
00:28:11,119 --> 00:28:14,080
Speaker 1: Like we had a forty five year decline in illegal crossings.

515
00:28:14,160 --> 00:28:17,280
Speaker 1: This year. But everybody. So they don't need the wall. No,

516
00:28:17,880 --> 00:28:19,800
Speaker 1: because there's still people are gonna come to this country

517
00:28:20,200 --> 00:28:23,320
Speaker 1: forty five uh percent to clients. Still there's still thousands

518
00:28:23,359 --> 00:28:26,040
Speaker 1: of people coming in. We need the wall. It's worked,

519
00:28:26,359 --> 00:28:28,800
Speaker 1: let's do it, let's put let's what price you're gonna

520
00:28:28,840 --> 00:28:31,760
Speaker 1: put on the security of this country. This president came

521
00:28:31,800 --> 00:28:35,200
Speaker 1: in here, he wants the wall. I support that he's done.

522
00:28:35,400 --> 00:28:38,040
Speaker 1: He's this president. I've worked for six different presidents. This

523
00:28:38,160 --> 00:28:41,280
Speaker 1: president has done more for border security in public safety

524
00:28:41,440 --> 00:28:43,800
Speaker 1: than any of the six presidents I've worked for. I've

525
00:28:43,840 --> 00:28:46,680
Speaker 1: been forcing immigration lall for thirty four years, and this

526
00:28:47,320 --> 00:28:50,400
Speaker 1: this president, President Trump, has done more for the men

527
00:28:50,480 --> 00:28:52,520
Speaker 1: and women of Bord Patrol, for the men and women

528
00:28:52,560 --> 00:28:55,280
Speaker 1: of Ice, and for the citizens of this country and

529
00:28:55,400 --> 00:28:59,720
Speaker 1: border security than any president I've ever worked for. Let's

530
00:28:59,760 --> 00:29:02,880
Speaker 1: find all this plan, let's get it fixed. Acting Immigrations

531
00:29:02,920 --> 00:29:06,240
Speaker 1: and Customs Enforcement Director Thomas Homan, Director Holman. Great to

532
00:29:06,280 --> 00:29:07,880
Speaker 1: have you, Thank you so much, and come back soon.

533
00:29:08,360 --> 00:29:11,120
Speaker 1: Thank you, sir. H Team. We're going to roll into

534
00:29:11,120 --> 00:29:13,080
Speaker 1: a break. We've got a lot more to talk about today,

535
00:29:13,240 --> 00:29:18,680
Speaker 1: including the latest on immigration, Russia collusion investigation, regulation, I'm

536
00:29:18,680 --> 00:29:21,240
Speaker 1: gonna tell you some stories about regulation later on that

537
00:29:21,360 --> 00:29:24,080
Speaker 1: are going to make your head spin. We're gonna break

538
00:29:24,120 --> 00:29:27,400
Speaker 1: it down into some real world a real world example

539
00:29:27,600 --> 00:29:30,120
Speaker 1: of just how crazy regulation is in this country and

540
00:29:30,200 --> 00:29:33,920
Speaker 1: why it's so important that President Trump is in fact

541
00:29:34,480 --> 00:29:38,800
Speaker 1: peeling them back and taking all of these ropes and

542
00:29:38,920 --> 00:29:42,800
Speaker 1: constraints off of American businesses and American entrepreneurs. So we've

543
00:29:42,800 --> 00:29:45,880
Speaker 1: got that a much more coming up eight f eight

544
00:29:46,000 --> 00:29:48,840
Speaker 1: to five will be right back. Does this get in

545
00:29:49,000 --> 00:29:52,680
Speaker 1: the administration's way of immigration reform. I don't think so.

546
00:29:53,000 --> 00:29:55,760
Speaker 1: I mean, we are very disappointed by the decision, but

547
00:29:55,880 --> 00:29:58,120
Speaker 1: what we heard yesterday at the meeting was we're all

548
00:29:58,160 --> 00:30:01,360
Speaker 1: committed to finding a deal. So a permanent solution is

549
00:30:01,360 --> 00:30:03,920
Speaker 1: actually to the benefit of all the current DACA recipients,

550
00:30:03,960 --> 00:30:08,040
Speaker 1: and that's what we'll pursue. Were those talks as productive

551
00:30:08,280 --> 00:30:11,040
Speaker 1: as they appeared to all of us who were let

552
00:30:11,120 --> 00:30:14,280
Speaker 1: into that room with the TV cameras rolling, Yes, I

553
00:30:14,400 --> 00:30:17,080
Speaker 1: think so. I'm very optimistic. We left with a clear

554
00:30:17,160 --> 00:30:20,680
Speaker 1: path forward. We agreed on the four pillars components of

555
00:30:20,760 --> 00:30:24,160
Speaker 1: a deal. I'm very encouraged by what we did yesterday

556
00:30:24,240 --> 00:30:27,600
Speaker 1: and look forward to continuing to meet with our colleagues

557
00:30:27,640 --> 00:30:29,280
Speaker 1: on the Hill day to day and so we get

558
00:30:29,320 --> 00:30:34,000
Speaker 1: this done. That was Secretary of Homeland Security kirshtin Nielsen

559
00:30:34,760 --> 00:30:39,240
Speaker 1: earlier today on DOCCA and the negotiations around it. Look,

560
00:30:39,320 --> 00:30:43,320
Speaker 1: DOCCA is something that sounds like it might be a

561
00:30:43,360 --> 00:30:45,400
Speaker 1: good bargaining chip, and then you get into what the

562
00:30:45,480 --> 00:30:48,760
Speaker 1: long term implications are or even really just the real

563
00:30:48,920 --> 00:30:53,280
Speaker 1: implications of DOCCA, and you're gonna have some some big problems.

564
00:30:53,360 --> 00:30:55,400
Speaker 1: But we'll we'll get back into that in a moment.

565
00:30:55,640 --> 00:30:59,840
Speaker 1: I first wanted to spend some time setting up, uh,

566
00:31:00,440 --> 00:31:08,480
Speaker 1: this insane, absolutely crazy order from a judge in California. Anytime,

567
00:31:08,480 --> 00:31:09,960
Speaker 1: I'm gonna say that on the show right there. So

568
00:31:10,040 --> 00:31:14,920
Speaker 1: there's this judge in California who decided to get his

569
00:31:15,080 --> 00:31:20,600
Speaker 1: hashtag resistance points up on the board. And in this case,

570
00:31:21,600 --> 00:31:25,440
Speaker 1: it's about this is from the Northern District of California decision.

571
00:31:25,800 --> 00:31:29,360
Speaker 1: This is a preliminary injunction, mind you, but the injunction

572
00:31:29,600 --> 00:31:33,280
Speaker 1: is from this judge saying that across think about this,

573
00:31:33,360 --> 00:31:37,320
Speaker 1: one federal judge says across the country, the Trump administration

574
00:31:37,400 --> 00:31:42,480
Speaker 1: now has to has to implement deferred action for childhood

575
00:31:42,520 --> 00:31:49,360
Speaker 1: arrivals doctor across the country. One judge the case is

576
00:31:49,480 --> 00:31:54,880
Speaker 1: the regents of the University of California and Janet Apolitano. Ay,

577
00:31:55,440 --> 00:32:00,120
Speaker 1: it's it's big sis, Nepolitano. I'm back. I un to

578
00:32:00,200 --> 00:32:05,720
Speaker 1: be the Secretary of Homeland Security and now here I

579
00:32:05,880 --> 00:32:12,000
Speaker 1: am running to California school system bringing a suit against

580
00:32:12,040 --> 00:32:18,480
Speaker 1: the Trump administration. Big stas. So she's part of this

581
00:32:18,800 --> 00:32:23,320
Speaker 1: lawsuit against the home against her a former agency department

582
00:32:23,400 --> 00:32:27,239
Speaker 1: Homeland Security. Isn't that? Isn't that what you call iron nick? Uh?

583
00:32:27,440 --> 00:32:32,000
Speaker 1: You've got Kirsten Nielsen and we just played there named

584
00:32:32,040 --> 00:32:34,720
Speaker 1: as the defendant here just because she runs DHS. And

585
00:32:34,840 --> 00:32:40,000
Speaker 1: here's the basic the basic argument of the plaintiffs here

586
00:32:40,480 --> 00:32:44,320
Speaker 1: that there are some people covered under DACA in California.

587
00:32:44,360 --> 00:32:46,400
Speaker 1: There's some other states that also signed onto this two,

588
00:32:46,400 --> 00:32:49,560
Speaker 1: but we'll just focus on California because why not just

589
00:32:49,640 --> 00:32:52,920
Speaker 1: beat up on California. Uh, there's some there are some

590
00:32:53,040 --> 00:32:58,240
Speaker 1: people who are covered under DACA who are students or faculty, etcetera,

591
00:32:58,280 --> 00:33:00,840
Speaker 1: etcetera at the University of californ in your school system,

592
00:33:00,880 --> 00:33:05,960
Speaker 1: which is which is vast and they're saying that this

593
00:33:06,320 --> 00:33:10,600
Speaker 1: is it is unfair for Trump or in this case,

594
00:33:10,680 --> 00:33:14,959
Speaker 1: it is it is illegal for Trump and the Department

595
00:33:15,000 --> 00:33:20,280
Speaker 1: Homeland Security of the Executive Branch not to continue to

596
00:33:20,480 --> 00:33:29,320
Speaker 1: give DOCCA protection to these individuals because it's necessary for

597
00:33:29,440 --> 00:33:31,320
Speaker 1: the because they're doing good things. I mean, I'm gonna

598
00:33:31,360 --> 00:33:33,360
Speaker 1: try to walk to the argument really makes no sense,

599
00:33:33,560 --> 00:33:37,000
Speaker 1: but I'll try to give you what they're saying. What

600
00:33:37,080 --> 00:33:42,720
Speaker 1: they're really saying is this plaintiffs group from the Department

601
00:33:42,880 --> 00:33:45,080
Speaker 1: of or the regions of the University California and big

602
00:33:45,120 --> 00:33:50,640
Speaker 1: sister a Politano Hello, hey uh and then DHS. What

603
00:33:50,680 --> 00:33:54,400
Speaker 1: they're saying is DOCCA is good for people that work

604
00:33:54,600 --> 00:33:57,800
Speaker 1: or go to the California school system. Therefore, for due

605
00:33:57,840 --> 00:34:01,880
Speaker 1: process reasons, you can take away what's good for them,

606
00:34:03,440 --> 00:34:05,560
Speaker 1: because because it hurts us, it puts us at a

607
00:34:05,720 --> 00:34:08,920
Speaker 1: at a disadvantage because we need these DOCCA people so

608
00:34:09,080 --> 00:34:12,359
Speaker 1: badly we're now working for or going I think it's

609
00:34:12,360 --> 00:34:16,520
Speaker 1: primarily for some of the employees. But and this can

610
00:34:16,600 --> 00:34:19,719
Speaker 1: get there's a very complicated version of this case and

611
00:34:19,800 --> 00:34:22,640
Speaker 1: a very simple version of this case. I think I

612
00:34:22,800 --> 00:34:24,960
Speaker 1: just made a clear deal with the simple version. First

613
00:34:24,960 --> 00:34:27,880
Speaker 1: simple version is this it's illegal for illegals to be

614
00:34:27,960 --> 00:34:32,759
Speaker 1: in the country. The Obama administration decided that under the

615
00:34:33,640 --> 00:34:41,480
Speaker 1: notion of prosecutorial authority, a prosecutory discretion. Rather under prosecutorial discretion,

616
00:34:41,560 --> 00:34:45,120
Speaker 1: they were gonna say, hey, you can stay here, and oh,

617
00:34:45,200 --> 00:34:47,640
Speaker 1: by the way, that also means you can work, you

618
00:34:47,719 --> 00:34:51,879
Speaker 1: can get work permits while you're here. And it's really

619
00:34:51,880 --> 00:34:55,800
Speaker 1: an abusive prosecutorial discretion because there is. And this is

620
00:34:55,880 --> 00:34:59,080
Speaker 1: why the DAPPA program. And I know we're getting a

621
00:34:59,120 --> 00:35:02,240
Speaker 1: little in the eats here, but it's important. Deferred action

622
00:35:02,320 --> 00:35:07,480
Speaker 1: of parental right, or deferred action for parents of arrivals whatever. DAPPA,

623
00:35:08,360 --> 00:35:12,080
Speaker 1: the parents of the DACA covered individuals, which is the

624
00:35:12,160 --> 00:35:14,520
Speaker 1: so called dreamers. I don't like using that term because

625
00:35:14,560 --> 00:35:19,080
Speaker 1: it's obviously it's it's obviously meant to influence the discussion

626
00:35:19,160 --> 00:35:22,120
Speaker 1: just by using it. Right there, Dreamers, they're just dreaming

627
00:35:22,200 --> 00:35:25,200
Speaker 1: about a better place, a better America, right, I mean, no,

628
00:35:25,280 --> 00:35:26,799
Speaker 1: there're people that want to be in the country because

629
00:35:26,800 --> 00:35:29,400
Speaker 1: America is the best country with the best economy, etcetera, etcetera.

630
00:35:29,880 --> 00:35:31,879
Speaker 1: Who and who are not legally allowed to be here.

631
00:35:32,719 --> 00:35:37,960
Speaker 1: They're dreamers. Oh, but the the Obama aministration decided to

632
00:35:38,000 --> 00:35:41,280
Speaker 1: do that, and the Trump administration came in and said,

633
00:35:42,239 --> 00:35:45,800
Speaker 1: hold on a second, Uh, we don't want to continue

634
00:35:45,840 --> 00:35:49,520
Speaker 1: to do that. We mean, the executive branch are not

635
00:35:49,719 --> 00:35:54,560
Speaker 1: going to use our discretion in that way. Therefore, these

636
00:35:54,640 --> 00:35:59,600
Speaker 1: doctor protections will not continue. And what the what this

637
00:35:59,800 --> 00:36:03,799
Speaker 1: one and judge a Clinton appointee, No, no surprise there.

638
00:36:04,440 --> 00:36:08,000
Speaker 1: What this one judge came out with today was sorry,

639
00:36:08,320 --> 00:36:11,960
Speaker 1: you have to use your discretion in that way. Now,

640
00:36:12,200 --> 00:36:16,239
Speaker 1: to put it mildly and simply, that's not the judge's call.

641
00:36:17,200 --> 00:36:19,640
Speaker 1: The judge is not in a position to make that call.

642
00:36:19,880 --> 00:36:22,520
Speaker 1: This is not up to this judge. The judge is

643
00:36:22,560 --> 00:36:28,319
Speaker 1: going way beyond his authority. But as we saw with uh,

644
00:36:28,880 --> 00:36:31,440
Speaker 1: that federal judge in Hawaii and the Ninth Circuit, this

645
00:36:31,560 --> 00:36:34,640
Speaker 1: fifth Circuit than the Ninth Circuit, Oh, I'm sorry, no,

646
00:36:34,719 --> 00:36:37,080
Speaker 1: this Ninth Circuit too. Um, as we saw with the

647
00:36:37,160 --> 00:36:41,400
Speaker 1: judge out in Hawaii, though, who the Supreme Court had

648
00:36:41,440 --> 00:36:44,360
Speaker 1: to slap down. You don't get to decide that you

649
00:36:44,440 --> 00:36:46,719
Speaker 1: don't like Trump as a judge and you're just gonna

650
00:36:46,840 --> 00:36:50,799
Speaker 1: overrule federal government policy because you don't like Trump. That's

651
00:36:50,800 --> 00:36:53,400
Speaker 1: not how this works. That's not how any of this works.

652
00:36:54,719 --> 00:36:58,000
Speaker 1: And this decision from this judge in Northern California is

653
00:36:58,080 --> 00:37:03,759
Speaker 1: just another instance of legislating from the bench hashtag resistance

654
00:37:03,880 --> 00:37:09,200
Speaker 1: judges coming out and ignoring what the law says because

655
00:37:09,280 --> 00:37:13,040
Speaker 1: they have a policy preference. In this case, this judge

656
00:37:13,120 --> 00:37:14,680
Speaker 1: knows you're gonna be a hero in the state of

657
00:37:14,760 --> 00:37:17,840
Speaker 1: California to a whole lot of people if you write

658
00:37:17,920 --> 00:37:19,400
Speaker 1: the law or you make the law up as you

659
00:37:19,480 --> 00:37:25,719
Speaker 1: go along to insist on DOCTA protections. It's very straightforward.

660
00:37:25,760 --> 00:37:28,480
Speaker 1: Though the judge does not have the authority to do this.

661
00:37:29,360 --> 00:37:32,640
Speaker 1: This would be the equivalent, okay of a judge. It

662
00:37:32,719 --> 00:37:36,320
Speaker 1: really is the equivalent of a judge saying, um, okay,

663
00:37:36,520 --> 00:37:42,359
Speaker 1: this federal prosecutor chose not to press charges on this case,

664
00:37:42,960 --> 00:37:45,160
Speaker 1: and then another federal prosecutor would come along and the

665
00:37:45,280 --> 00:37:48,520
Speaker 1: same the same jurisdiction and say no, no, I'm actually

666
00:37:48,560 --> 00:37:51,520
Speaker 1: gonna bring charges. And then the judge is, sorry, you

667
00:37:51,640 --> 00:37:55,960
Speaker 1: can't do that. Why not. It's it's the under the

668
00:37:56,000 --> 00:37:59,480
Speaker 1: discretion of the prosecutorial wing of the Justice Department. It's

669
00:37:59,480 --> 00:38:01,560
Speaker 1: not about whether. But the judge says, well, I don't

670
00:38:01,600 --> 00:38:04,239
Speaker 1: like it. Well, we'll talk about more of this coming

671
00:38:04,320 --> 00:38:07,800
Speaker 1: up this morning. And welcome to our first cabinet meeting

672
00:38:08,320 --> 00:38:12,080
Speaker 1: of the new year was a year of tremendous achievement,

673
00:38:13,000 --> 00:38:17,799
Speaker 1: monumental achievement. Actually, I don't think any administration has ever

674
00:38:18,000 --> 00:38:21,440
Speaker 1: done has done what we've done and what we've accomplished

675
00:38:21,600 --> 00:38:26,880
Speaker 1: in its first year, which isn't quite finished yet. You

676
00:38:26,960 --> 00:38:29,200
Speaker 1: never know what's going to happen over the next few days.

677
00:38:30,719 --> 00:38:33,840
Speaker 1: Welcome back to the Buck Sexton Show. President Trump talking

678
00:38:33,880 --> 00:38:38,479
Speaker 1: about the achievements of Seen, and I've certainly been trying

679
00:38:38,560 --> 00:38:42,440
Speaker 1: to highlight them on this show because a lot of shows,

680
00:38:42,640 --> 00:38:44,719
Speaker 1: a lot of media won't do that. They'll tell you

681
00:38:44,840 --> 00:38:48,759
Speaker 1: about Trump is Trump, is this, He's that, He's seeing

682
00:38:48,840 --> 00:38:52,520
Speaker 1: Ailie's crazy, He's even whatever. In fact, Seen on a

683
00:38:52,640 --> 00:38:56,080
Speaker 1: policy basis was pretty darn good. Tax cuts are gonna

684
00:38:56,120 --> 00:39:00,480
Speaker 1: be great, already having really positive impact on the economy,

685
00:39:01,080 --> 00:39:02,799
Speaker 1: and I think we're in for a whole lot more.

686
00:39:02,920 --> 00:39:09,120
Speaker 1: But one of the things that happened in UH that

687
00:39:09,440 --> 00:39:12,440
Speaker 1: gets some attention but not nearly enough, has to do

688
00:39:12,520 --> 00:39:17,880
Speaker 1: with regulations, has to do with getting rid of the

689
00:39:18,000 --> 00:39:25,040
Speaker 1: red tape. And it has been tremendous for the for

690
00:39:25,400 --> 00:39:28,040
Speaker 1: this country, for the economy. And this is directly in

691
00:39:28,200 --> 00:39:31,600
Speaker 1: Trump Sands. This is one of the executive branch success

692
00:39:31,680 --> 00:39:33,920
Speaker 1: is one of the victories. And this is a victory

693
00:39:34,120 --> 00:39:38,840
Speaker 1: for conservatives, for limited government and for the whole country,

694
00:39:38,880 --> 00:39:42,200
Speaker 1: even the people who hate it and hate Trump making

695
00:39:42,280 --> 00:39:44,360
Speaker 1: things better for them whether they whether they like it

696
00:39:44,520 --> 00:39:48,160
Speaker 1: or not. The President is helping them out with his

697
00:39:48,239 --> 00:39:54,160
Speaker 1: approach to regular federal regulations. Because federal regulations have gotten

698
00:39:54,600 --> 00:39:59,920
Speaker 1: completely out of control. And there's even a term term

699
00:40:00,000 --> 00:40:05,320
Speaker 1: of art for this, now, regulatory fatigue or do you

700
00:40:05,440 --> 00:40:12,080
Speaker 1: have regulatory fatigue, sir, Yes, I'm quite tired. Regulatory fatigue

701
00:40:12,160 --> 00:40:16,319
Speaker 1: is when the regulations just pile up way, way too high. Now,

702
00:40:16,440 --> 00:40:20,000
Speaker 1: this is kind of a conversation that could have a

703
00:40:20,080 --> 00:40:21,880
Speaker 1: lot of jargon. I could give you the numbers, I mean,

704
00:40:21,880 --> 00:40:24,759
Speaker 1: the numbers of Obama was just trying to build the

705
00:40:24,880 --> 00:40:29,840
Speaker 1: Mount Olympus of regulations. I mean, just regulations up to

706
00:40:29,960 --> 00:40:31,600
Speaker 1: the sky, up to the moon, as far as the

707
00:40:31,680 --> 00:40:34,319
Speaker 1: eye can see in further right, more regulations, the better.

708
00:40:35,120 --> 00:40:40,880
Speaker 1: A hyperactive federal regulatory body is what the Democrat party

709
00:40:40,960 --> 00:40:43,400
Speaker 1: wants in this country. It's what Obama wanted, It's what

710
00:40:43,560 --> 00:40:47,400
Speaker 1: Hillary Clinton would have wanted. How if she were president

711
00:40:47,520 --> 00:40:51,279
Speaker 1: United States? Why? Because it's at the heart of state

712
00:40:51,400 --> 00:40:53,800
Speaker 1: is um. People that want the state to be in

713
00:40:53,920 --> 00:40:58,239
Speaker 1: control love regulation because it fits right in with their

714
00:40:59,239 --> 00:41:03,400
Speaker 1: overall idea of governance, which is that people should be

715
00:41:03,560 --> 00:41:07,279
Speaker 1: told what to do by quote experts, and by that

716
00:41:07,400 --> 00:41:13,520
Speaker 1: they really mean usually slothful bureaucrats, but experts in every

717
00:41:13,560 --> 00:41:15,720
Speaker 1: aspect of their day to day life. There is nothing

718
00:41:16,400 --> 00:41:19,680
Speaker 1: for for a true progressive Democrat. There is nothing that

719
00:41:19,920 --> 00:41:24,480
Speaker 1: is beyond the purview of the state when it comes

720
00:41:24,600 --> 00:41:30,640
Speaker 1: to dictating behavior, uh, dictating your approach to everything in

721
00:41:30,680 --> 00:41:33,560
Speaker 1: your day to day life, decisions that you make, micro

722
00:41:33,840 --> 00:41:39,759
Speaker 1: managed down to the most minute level. And it's no exaggeration.

723
00:41:39,880 --> 00:41:44,520
Speaker 1: Let me give you an example here. What would be

724
00:41:44,680 --> 00:41:48,400
Speaker 1: a an American pastime? What would be an American business

725
00:41:48,480 --> 00:41:52,240
Speaker 1: that you would think everyone could agree that the federal

726
00:41:52,280 --> 00:41:57,399
Speaker 1: government could take a relatively light touch in regulating, right,

727
00:41:58,200 --> 00:42:00,560
Speaker 1: what's a one one thing about come to mind? Will

728
00:42:00,560 --> 00:42:03,319
Speaker 1: be a lemonade stand? And sure enough, there are stories about,

729
00:42:03,360 --> 00:42:05,200
Speaker 1: you know, a little eight year old girls running a

730
00:42:05,239 --> 00:42:08,719
Speaker 1: lemonade stand, and the local you know, better business commerce

731
00:42:08,840 --> 00:42:11,600
Speaker 1: whatever regulators come over and say, do you'll have a permit?

732
00:42:11,680 --> 00:42:14,520
Speaker 1: Young lady? Now you know they kick her off the street,

733
00:42:15,680 --> 00:42:18,719
Speaker 1: competing on fairly with local lemonade businesses, right, I mean,

734
00:42:18,800 --> 00:42:20,279
Speaker 1: but but I've got a I've got a better one

735
00:42:20,360 --> 00:42:23,239
Speaker 1: for you, or or I've got a specific one. And

736
00:42:23,360 --> 00:42:25,279
Speaker 1: it actually comes from a courtesy of The New York

737
00:42:25,280 --> 00:42:26,680
Speaker 1: Times from a few weeks ago. I don't think this

738
00:42:27,080 --> 00:42:29,279
Speaker 1: got very much attention. One of the things I love

739
00:42:29,320 --> 00:42:32,000
Speaker 1: to do here in the Freedom Hunt is bring stories

740
00:42:32,160 --> 00:42:35,760
Speaker 1: to your attention that aren't just that. You know, the headline,

741
00:42:36,280 --> 00:42:40,960
Speaker 1: the biggest headline on Fox News dot com, Drudge sometimes CNN,

742
00:42:41,000 --> 00:42:43,680
Speaker 1: although CNN is just one long it's really now just

743
00:42:43,760 --> 00:42:47,200
Speaker 1: turned into one long blog about the Russia collusion investigation.

744
00:42:47,320 --> 00:42:49,920
Speaker 1: That's what CNN dot comms. But here's this piece of

745
00:42:50,000 --> 00:42:55,880
Speaker 1: your Times apple picking. How complicated? How complex could apple

746
00:42:55,920 --> 00:43:01,320
Speaker 1: picking really be? And how much could federal regulation really

747
00:43:02,800 --> 00:43:06,920
Speaker 1: hamper the business of letting people pay some money to

748
00:43:06,960 --> 00:43:10,440
Speaker 1: grab some apples on their own beautiful fall day. It's

749
00:43:10,480 --> 00:43:12,000
Speaker 1: big out here. I know some parts of the country

750
00:43:12,200 --> 00:43:14,040
Speaker 1: probably don't have much of this, but you know, out

751
00:43:14,120 --> 00:43:15,960
Speaker 1: here on the East Coast, in the Northeast, you got

752
00:43:16,000 --> 00:43:19,719
Speaker 1: a lot of this going on. So here's what The

753
00:43:19,760 --> 00:43:24,200
Speaker 1: New York Times wrote on this quote for eight weeks.

754
00:43:24,400 --> 00:43:29,279
Speaker 1: Every fall, Indian Ladder Farms, a fifth generation family operation

755
00:43:29,440 --> 00:43:35,040
Speaker 1: near Albany, kicks into peak season. The farm cells homemade

756
00:43:35,080 --> 00:43:40,160
Speaker 1: apple pies, fresh cider, and warm doughnuts. School Children arrived

757
00:43:40,200 --> 00:43:43,680
Speaker 1: by the bus load to learn about growing apples, and

758
00:43:43,960 --> 00:43:47,680
Speaker 1: as customers pick fruit from trees, workers fill bins with

759
00:43:47,760 --> 00:43:53,399
Speaker 1: apples destined for the farm's shop and grocery stores. This fall,

760
00:43:53,520 --> 00:43:57,320
Speaker 1: amid the rush of commerce, the apple harvest season accounts

761
00:43:57,400 --> 00:44:03,200
Speaker 1: for about half of Indian ladders annual revenue. Federal investigators

762
00:44:03,600 --> 00:44:08,320
Speaker 1: showed up. They wanted to check the farm's compliance with

763
00:44:08,560 --> 00:44:13,239
Speaker 1: migrant labor rules and the Fair Labor Standards Act, which

764
00:44:13,360 --> 00:44:18,440
Speaker 1: sets pay and other requirements for workers. Suddenly, the small

765
00:44:18,520 --> 00:44:22,759
Speaker 1: office staff turned its focus away from making money to

766
00:44:23,000 --> 00:44:27,880
Speaker 1: play cating a government regulator. The investigators arrived on a

767
00:44:28,000 --> 00:44:32,040
Speaker 1: Friday in late September and interviewed the farm's management and

768
00:44:32,120 --> 00:44:36,320
Speaker 1: a group of laborers from Jamaica who have special work visas.

769
00:44:36,840 --> 00:44:40,879
Speaker 1: The investigators hand delivered a notice and said they would

770
00:44:40,920 --> 00:44:44,600
Speaker 1: be back the following week when they asked to have

771
00:44:45,160 --> 00:44:52,160
Speaker 1: twenty two types of records available. The request included vehicle registrations,

772
00:44:52,360 --> 00:44:56,560
Speaker 1: insurance documents and time sheets, reams of paper in all

773
00:44:57,680 --> 00:45:02,960
Speaker 1: over the next several days, the ten Ike family, which

774
00:45:03,040 --> 00:45:07,480
Speaker 1: owns the farm, along with the staff, devoted about forty

775
00:45:07,760 --> 00:45:12,320
Speaker 1: hours to serving the investigators, who visited three times before

776
00:45:12,440 --> 00:45:17,279
Speaker 1: closing the books. It is terribly disruptive, said Peter tan Ike,

777
00:45:17,560 --> 00:45:19,799
Speaker 1: who runs the farm along with his daughter and son.

778
00:45:20,440 --> 00:45:24,279
Speaker 1: And the dimension that doesn't get mentioned is the psychological hit.

779
00:45:25,200 --> 00:45:29,360
Speaker 1: They are there to find something wrong with you, and

780
00:45:29,560 --> 00:45:35,120
Speaker 1: then they are going to find you end quote. H.

781
00:45:35,280 --> 00:45:39,040
Speaker 1: This is a This is a great example of how

782
00:45:39,400 --> 00:45:43,319
Speaker 1: terrible some of the federal regulations in this country really are.

783
00:45:43,520 --> 00:45:46,440
Speaker 1: I mean, this really brings it home. I think you

784
00:45:46,560 --> 00:45:49,880
Speaker 1: got a business in its peaks. It's a very seasonal business,

785
00:45:49,920 --> 00:45:52,880
Speaker 1: apple picking, not a lot of apple picking. I'm a native,

786
00:45:53,000 --> 00:45:55,239
Speaker 1: you know, New Yorker, and I've spent a lot of time.

787
00:45:55,280 --> 00:45:58,200
Speaker 1: I have family up in the Hudson Valley, have a

788
00:45:58,239 --> 00:46:01,400
Speaker 1: house of the Hudson Valley. Grandparents been there, uh summers

789
00:46:01,480 --> 00:46:05,439
Speaker 1: up in the Hudson Valley, and I'm pretty sure there's

790
00:46:05,480 --> 00:46:07,799
Speaker 1: not a lot of apple picking going on in January.

791
00:46:09,080 --> 00:46:11,880
Speaker 1: But if it's the peak season, they said, that counts

792
00:46:11,960 --> 00:46:14,560
Speaker 1: for half of this farm's revenue. I've been talking to

793
00:46:14,600 --> 00:46:16,920
Speaker 1: you on this show about farmers and the plight of farmers.

794
00:46:17,000 --> 00:46:20,520
Speaker 1: Trump spoke to farmers yesterday in or maybe the day

795
00:46:20,520 --> 00:46:25,480
Speaker 1: before in Nashville and federal regulations, reams of paper. We

796
00:46:25,560 --> 00:46:28,880
Speaker 1: had Selina Zito come on. She's a author and a

797
00:46:28,960 --> 00:46:33,480
Speaker 1: correspondent journalist, and she was saying that farmers have to

798
00:46:33,520 --> 00:46:37,799
Speaker 1: fill out stacks and stacks and stacks of paperwork. I mean,

799
00:46:38,040 --> 00:46:40,359
Speaker 1: I know, farming is a really tough business, really hard

800
00:46:40,400 --> 00:46:41,719
Speaker 1: to do. I know that, right. You deal with a

801
00:46:41,760 --> 00:46:44,560
Speaker 1: lot of stuff that's beyond your control. Seasonality. Whether all

802
00:46:44,640 --> 00:46:47,360
Speaker 1: this I can't. I would think though, that one of

803
00:46:47,400 --> 00:46:50,279
Speaker 1: the benefits is that it's a pretty self sustaining thing

804
00:46:50,600 --> 00:46:54,600
Speaker 1: and you're at least somewhat away from the reach of

805
00:46:55,400 --> 00:47:00,160
Speaker 1: an overweening and semi dick tutorial Uncle Sam. But oh,

806
00:47:01,239 --> 00:47:03,320
Speaker 1: farmers got a ton of paperwork. I've been willing to

807
00:47:03,360 --> 00:47:07,120
Speaker 1: bet now every small businessman and woman listening to this

808
00:47:07,200 --> 00:47:09,680
Speaker 1: show right now, it's probably like, oh, Buck, let me

809
00:47:09,800 --> 00:47:14,160
Speaker 1: tell you about dealing with OSHA, dealing with the f

810
00:47:14,360 --> 00:47:17,840
Speaker 1: d A, dealing with I mean, all these different organizations

811
00:47:17,960 --> 00:47:19,560
Speaker 1: that come in and want never mind, I mean, you

812
00:47:19,560 --> 00:47:21,320
Speaker 1: get a visit from the I R S. That's truly

813
00:47:21,360 --> 00:47:24,920
Speaker 1: the nightmare scenario. But I'm sure you've all got stories

814
00:47:24,920 --> 00:47:30,680
Speaker 1: about it, and it needs to stop. It needs to stop.

815
00:47:30,840 --> 00:47:35,279
Speaker 1: It is completely and utterly out of control. In fact,

816
00:47:35,360 --> 00:47:40,000
Speaker 1: the Mercadis Center, which is a center right think tank

817
00:47:40,080 --> 00:47:45,520
Speaker 1: at George Mason University, says that the Federal Regulatory Code

818
00:47:45,760 --> 00:47:50,080
Speaker 1: right now has and this is just for rules on

819
00:47:50,480 --> 00:47:56,120
Speaker 1: apple orchards, okay, has twelve thousand rules and regulations and

820
00:47:56,160 --> 00:48:03,000
Speaker 1: effect for apple picking. My friends, the trees, the apples,

821
00:48:03,320 --> 00:48:05,919
Speaker 1: you pick them, you eat them, or you sell them.

822
00:48:06,000 --> 00:48:09,600
Speaker 1: I mean, how it really? I mean, we're pretty much

823
00:48:09,640 --> 00:48:12,000
Speaker 1: in lemonade stand territory here right in terms of the

824
00:48:12,080 --> 00:48:15,960
Speaker 1: complexity of the commercial transaction, and no offense to lemonade stand.

825
00:48:16,719 --> 00:48:20,040
Speaker 1: But you see what I'm saying. This is not Dodd

826
00:48:20,160 --> 00:48:22,920
Speaker 1: Frank High Finance Global too. This is Okay, I've got

827
00:48:22,960 --> 00:48:25,279
Speaker 1: an apple farm. I'd like people to come. I'd like

828
00:48:25,400 --> 00:48:28,160
Speaker 1: them to be able. Reminds me of Ron Swanson, you

829
00:48:28,239 --> 00:48:30,840
Speaker 1: know that, the wonderful character from the show Parks and

830
00:48:30,920 --> 00:48:34,000
Speaker 1: Wreck where he gives his version of commerce, which is,

831
00:48:34,040 --> 00:48:36,040
Speaker 1: you know, I've got a few apples, would you like

832
00:48:36,160 --> 00:48:40,480
Speaker 1: to trade or buy some they're done commerce. That's really

833
00:48:40,520 --> 00:48:43,080
Speaker 1: what this should be. It doesn't have to be more

834
00:48:43,160 --> 00:48:47,640
Speaker 1: complicated than that. And yet the federal government has twelve thousand.

835
00:48:48,000 --> 00:48:51,000
Speaker 1: We think about that. If you and I sat down,

836
00:48:51,080 --> 00:48:53,440
Speaker 1: if I got like a group of team Buck experts,

837
00:48:53,640 --> 00:48:55,600
Speaker 1: we could probably come up with like a few hundred

838
00:48:55,680 --> 00:48:58,879
Speaker 1: regulations if we were trying to. And I'm not saying

839
00:48:58,920 --> 00:49:02,400
Speaker 1: it would be a good thing, but twelve thousand. How

840
00:49:02,440 --> 00:49:07,640
Speaker 1: do you have twelve thousand regulations about picking apples? Well,

841
00:49:09,080 --> 00:49:15,880
Speaker 1: the federal code currently for orchards specifically spends ten thousand,

842
00:49:16,120 --> 00:49:22,440
Speaker 1: four hundred words to regulate the spraying of pesticides. And

843
00:49:22,520 --> 00:49:24,960
Speaker 1: I can tell you that somebody who, as part of

844
00:49:25,040 --> 00:49:27,520
Speaker 1: my living, gets paid to write things and pays attention

845
00:49:27,600 --> 00:49:31,120
Speaker 1: to word count. That's a lot of words. That's a

846
00:49:31,200 --> 00:49:38,440
Speaker 1: lot of writing about pesticides, just for orchards. The business

847
00:49:38,560 --> 00:49:42,680
Speaker 1: owner in this case, the the owner of the orchard, uh,

848
00:49:43,040 --> 00:49:46,480
Speaker 1: must be proficient. According to the Times, here in thirty

849
00:49:46,680 --> 00:49:52,279
Speaker 1: three precise definitions, including a forty five word description of

850
00:49:52,360 --> 00:50:01,040
Speaker 1: the term hazard. Uh. There, this is just insanity. Uh,

851
00:50:01,360 --> 00:50:05,360
Speaker 1: it's absolutely crazy. I mean I look into the details

852
00:50:05,440 --> 00:50:08,880
Speaker 1: here and I think how could and even the Times

853
00:50:09,040 --> 00:50:11,600
Speaker 1: is like, look, you know there are there is a

854
00:50:11,680 --> 00:50:15,600
Speaker 1: limit even to our status meddling. Right, even the times

855
00:50:15,640 --> 00:50:18,680
Speaker 1: you're saying, maybe having twelve thousand regulations for an apple

856
00:50:18,800 --> 00:50:23,279
Speaker 1: orchard is a bad idea. And this is why when

857
00:50:23,400 --> 00:50:27,320
Speaker 1: Trump is trying to push for a regulatory rollback and

858
00:50:27,520 --> 00:50:32,759
Speaker 1: has been, it is so important for all of us.

859
00:50:33,040 --> 00:50:38,120
Speaker 1: It's so important for business. And you know, this is

860
00:50:38,160 --> 00:50:41,040
Speaker 1: what you're seeing here. I mean President Trump at the

861
00:50:41,120 --> 00:50:45,000
Speaker 1: beginning of his term signed an executive order that for

862
00:50:45,080 --> 00:50:49,279
Speaker 1: every new federal regulation too had to be rescinded um.

863
00:50:50,200 --> 00:50:52,759
Speaker 1: And this is one of the things that does not

864
00:50:52,880 --> 00:50:58,479
Speaker 1: get nearly enough attention, does not get nearly enough I think,

865
00:50:59,000 --> 00:51:03,440
Speaker 1: uh does thing nearly enough? Credit twelve thousand, folks, that's

866
00:51:03,440 --> 00:51:05,640
Speaker 1: how many regulations for an apple org And it's just insane.

867
00:51:06,640 --> 00:51:08,600
Speaker 1: Think about what that does. And that's now we're start

868
00:51:08,640 --> 00:51:11,160
Speaker 1: thinking about what's it like for more complicated businesses. I

869
00:51:11,160 --> 00:51:14,879
Speaker 1: should know it. It's really anti competitive as well. Big

870
00:51:14,960 --> 00:51:17,719
Speaker 1: business loves big government, big business love staate is um,

871
00:51:18,600 --> 00:51:21,920
Speaker 1: especially when you're talking about regulatory costs, regulatory burden, all that.

872
00:51:22,320 --> 00:51:24,960
Speaker 1: There's a reason why there's been so much consolidation of

873
00:51:25,080 --> 00:51:29,680
Speaker 1: the megabanks and these mega financial institutions because for them, yeah,

874
00:51:29,719 --> 00:51:33,120
Speaker 1: they they can handle the Dodd Frank regulatory burden. Might

875
00:51:33,200 --> 00:51:35,440
Speaker 1: mean more costs for consumers, might mean it affects the

876
00:51:35,880 --> 00:51:39,120
Speaker 1: bottom line of the corporate entity. But if you're trying

877
00:51:39,160 --> 00:51:40,880
Speaker 1: to get a small start, you're trying to run a

878
00:51:40,960 --> 00:51:44,200
Speaker 1: small a boutique investment bank for example, or even a

879
00:51:44,239 --> 00:51:48,080
Speaker 1: community local bank, hurts you a whole lot more than

880
00:51:48,080 --> 00:51:51,120
Speaker 1: it does Goldman Sacks, doesn't it right? And you can

881
00:51:51,160 --> 00:51:55,440
Speaker 1: apply that throughout the entire commercial ecosystem to businesses across

882
00:51:55,520 --> 00:52:01,759
Speaker 1: the board. This is why the White How approach to regulation.

883
00:52:02,000 --> 00:52:05,800
Speaker 1: It just means that, you know what, the local apple

884
00:52:05,920 --> 00:52:09,480
Speaker 1: orchard owner maybe has a shot to stay in business.

885
00:52:10,280 --> 00:52:14,200
Speaker 1: Means the local auto body shop owner, the uh somebody

886
00:52:14,320 --> 00:52:18,240
Speaker 1: runs a grocery store, somebody runs uh whatever, your small business.

887
00:52:18,320 --> 00:52:23,000
Speaker 1: Maybe you got a shot under this administration, the Obama

888
00:52:23,000 --> 00:52:26,360
Speaker 1: administration was just telling you to just deal with it. Sorry.

889
00:52:27,440 --> 00:52:30,000
Speaker 1: You know, we've got we've got an agenda here, We've

890
00:52:30,040 --> 00:52:33,000
Speaker 1: got people to please, we've got a media that we

891
00:52:33,080 --> 00:52:35,960
Speaker 1: need to run stories about how we're cracking down on

892
00:52:36,080 --> 00:52:38,799
Speaker 1: the lack of recycling, an X, Y or Z industry. Right,

893
00:52:38,800 --> 00:52:42,279
Speaker 1: I mean, this is just it was insanity, and it's

894
00:52:42,360 --> 00:52:45,000
Speaker 1: all because of this president in this White House. So

895
00:52:45,640 --> 00:52:47,040
Speaker 1: I'm gonna call it out when I don't like what

896
00:52:47,080 --> 00:52:49,400
Speaker 1: they're doing. You know, I disagree with this administration on

897
00:52:49,960 --> 00:52:53,919
Speaker 1: the approach to the legalization there approach when it comes

898
00:52:53,920 --> 00:52:56,560
Speaker 1: to legalization of marijuana. They're more restrictive and more about

899
00:52:56,640 --> 00:52:59,480
Speaker 1: enforcement at least that's what they're saying. But on regulation,

900
00:53:00,440 --> 00:53:03,520
Speaker 1: you know, it should commerce should be a pretty straightforward

901
00:53:03,600 --> 00:53:07,120
Speaker 1: thing whenever we can have it that way, and you know,

902
00:53:07,200 --> 00:53:09,359
Speaker 1: an apple and apple orchard should be, hey, I would

903
00:53:09,360 --> 00:53:11,360
Speaker 1: like to buy some apples, here's some money for it,

904
00:53:12,160 --> 00:53:14,719
Speaker 1: and yeah, don't don't spray anything on it that's gonna

905
00:53:14,800 --> 00:53:17,799
Speaker 1: hurt anybody. And you know we can we can make

906
00:53:17,880 --> 00:53:20,959
Speaker 1: this pretty straightforward, just like with the tax code. Same

907
00:53:21,080 --> 00:53:26,000
Speaker 1: thing should be true of federal regulations for businesses. Simple, straightforward,

908
00:53:26,560 --> 00:53:32,759
Speaker 1: universally applied and applicable. That's it. That's it. So regulations

909
00:53:33,239 --> 00:53:35,239
Speaker 1: doesn't sound like a sexy topic, But to those of

910
00:53:35,320 --> 00:53:37,560
Speaker 1: you who deal with it, I know you're like, hey,

911
00:53:37,640 --> 00:53:39,680
Speaker 1: this matters, alright, Alright, I know I gotta roll into

912
00:53:39,680 --> 00:53:41,320
Speaker 1: a break here, I got fired up about my apple

913
00:53:41,440 --> 00:53:44,200
Speaker 1: orchard eight four or four n eight to five eight

914
00:53:44,280 --> 00:53:46,200
Speaker 1: four or four nine buck. Let me just say, if

915
00:53:46,200 --> 00:53:49,120
Speaker 1: you've got a story about your business dealing with crazy regulations,

916
00:53:49,440 --> 00:53:52,960
Speaker 1: would love to hear it. Crazier the better. Let's beat

917
00:53:53,040 --> 00:53:54,680
Speaker 1: up on the federal government. Let's beat up on the

918
00:53:54,800 --> 00:53:58,880
Speaker 1: Leviathan bureaucracy that is out there, the many tentacled octopus

919
00:53:59,000 --> 00:54:01,440
Speaker 1: that will not leave you a own courtesy of Washington

920
00:54:01,520 --> 00:54:03,680
Speaker 1: d C. We'll be right back a little bit differently,

921
00:54:03,719 --> 00:54:05,600
Speaker 1: because I think there's no question in my mind that

922
00:54:05,880 --> 00:54:08,200
Speaker 1: I'm not to have banks now. The regulations was like

923
00:54:08,280 --> 00:54:10,719
Speaker 1: a friction cause in society, and it got worse and

924
00:54:10,800 --> 00:54:13,560
Speaker 1: worse and worse. So in other industries. If I speak

925
00:54:13,600 --> 00:54:18,320
Speaker 1: to you know, if some of my friends in media, mining, telecom,

926
00:54:18,680 --> 00:54:20,960
Speaker 1: they're clearly seeing to benefit, we haven't really seen it.

927
00:54:21,120 --> 00:54:23,560
Speaker 1: And financial services because the new people just put in place.

928
00:54:23,880 --> 00:54:25,759
Speaker 1: But but the American public should think of this is

929
00:54:25,960 --> 00:54:29,120
Speaker 1: a vast bureaucracy which is like sand in the engine.

930
00:54:29,480 --> 00:54:32,680
Speaker 1: And to reduce some of that, not roll back good regulations,

931
00:54:32,960 --> 00:54:35,439
Speaker 1: not go back to the good old times. Not. Don't

932
00:54:35,680 --> 00:54:37,759
Speaker 1: you know we need to protect consumers but you know,

933
00:54:37,880 --> 00:54:40,359
Speaker 1: bureaucracy and bureaucracy, and the American public knows that when

934
00:54:40,400 --> 00:54:42,759
Speaker 1: they go to the d M V veterans, No, when

935
00:54:42,760 --> 00:54:44,719
Speaker 1: they go to the v A. I mean, and that's

936
00:54:44,760 --> 00:54:47,239
Speaker 1: what's been happening more and more the United States. That's

937
00:54:47,320 --> 00:54:49,360
Speaker 1: Jamie Diamond speaking to Maria bar a Roma there on

938
00:54:49,480 --> 00:54:55,359
Speaker 1: Fox and he's the CEO of JP Morgan and it's

939
00:54:55,400 --> 00:54:59,919
Speaker 1: a Democrat. It's super rich guy obviously, uh. And he's

940
00:55:00,040 --> 00:55:02,560
Speaker 1: talking about it. And look, I think he's right, you know,

941
00:55:02,960 --> 00:55:05,080
Speaker 1: I think he's puts it pretty well. We know what

942
00:55:05,200 --> 00:55:07,800
Speaker 1: bureaucracy is like. Whenever we deal with it, we hate it.

943
00:55:08,440 --> 00:55:11,239
Speaker 1: So why do we want bureaucracies more involved in our

944
00:55:11,280 --> 00:55:15,680
Speaker 1: lives via regulation? Why would we want an apple orchard

945
00:55:15,760 --> 00:55:18,200
Speaker 1: to get a visit in its busiest season that takes

946
00:55:18,280 --> 00:55:22,080
Speaker 1: forty hours of manpower offline for them to make, you know,

947
00:55:22,160 --> 00:55:24,880
Speaker 1: to make a profit, make enough money for people to

948
00:55:25,200 --> 00:55:28,080
Speaker 1: pay their bills, pay their mortgage, put food on the table.

949
00:55:29,480 --> 00:55:31,200
Speaker 1: We don't we we don't want that to happen. We

950
00:55:31,200 --> 00:55:33,200
Speaker 1: don't want the federal government doing all this crazy stuff.

951
00:55:33,280 --> 00:55:34,920
Speaker 1: And it really needs a look, I mean, the Obama

952
00:55:34,920 --> 00:55:39,120
Speaker 1: administration just went nuts with telling the American people what

953
00:55:39,239 --> 00:55:43,160
Speaker 1: to do all with everything all over the place and

954
00:55:43,719 --> 00:55:46,680
Speaker 1: pushing that back is is phenomenal. Stephen in Mississippi has

955
00:55:46,719 --> 00:55:51,200
Speaker 1: got a ridiculous regulation for me. What's up, Stephen? Hello?

956
00:55:51,280 --> 00:55:55,080
Speaker 1: How are you? I'm good? Okay. Now, what we had

957
00:55:55,120 --> 00:55:58,760
Speaker 1: to do when they switched over to energy efficient bulbs

958
00:55:59,719 --> 00:56:04,000
Speaker 1: the for for reescent bloods that we used, we had

959
00:56:04,080 --> 00:56:08,440
Speaker 1: to buy the same box they came in to store

960
00:56:08,480 --> 00:56:13,239
Speaker 1: them to send them back to the government rather than

961
00:56:13,960 --> 00:56:19,680
Speaker 1: just putting them in h bub crusher and uh crushing

962
00:56:19,719 --> 00:56:23,520
Speaker 1: them and sending them back to the landfill. So you,

963
00:56:23,760 --> 00:56:26,080
Speaker 1: because of a regulation, you had to recycle your light

964
00:56:26,160 --> 00:56:28,920
Speaker 1: bulbs and send them back to the government. Now we

965
00:56:29,040 --> 00:56:32,839
Speaker 1: had to recycle them in the exact same box they

966
00:56:32,920 --> 00:56:35,879
Speaker 1: came in, in the same box. Why, I don't even

967
00:56:35,880 --> 00:56:37,320
Speaker 1: know why. They don't even know how they think that

968
00:56:37,400 --> 00:56:41,840
Speaker 1: makes sense? That's what they did. And we had to

969
00:56:42,000 --> 00:56:45,759
Speaker 1: chain off the area they were in. But we had

970
00:56:45,800 --> 00:56:48,719
Speaker 1: to put them in the same exact box they came in.

971
00:56:49,280 --> 00:56:52,319
Speaker 1: So if somebody lost the box, we had to buy

972
00:56:52,400 --> 00:56:56,120
Speaker 1: the box from ge and then ship it down here

973
00:56:56,200 --> 00:57:03,080
Speaker 1: to us. Put the balls in? What business? What business?

974
00:57:03,080 --> 00:57:10,040
Speaker 1: Steve do you mind telling us what kind of business? Yeah? Yeah, man, Steven,

975
00:57:10,080 --> 00:57:11,919
Speaker 1: thank you so much, Shield Tie, thank you for calling

976
00:57:11,960 --> 00:57:14,840
Speaker 1: in with the regular Yeah, it's I mean, I the

977
00:57:15,080 --> 00:57:17,800
Speaker 1: stories people tell me about this stuff, it's insane. Well,

978
00:57:17,800 --> 00:57:19,600
Speaker 1: the way everybody I know who works in finances, like

979
00:57:19,640 --> 00:57:22,080
Speaker 1: dot Frank is crazy. Dot Frank does all kinds of

980
00:57:22,160 --> 00:57:24,600
Speaker 1: really bad things, but people don't spend as much time

981
00:57:24,680 --> 00:57:26,560
Speaker 1: thinking about that. All right, we got a lot more

982
00:57:27,120 --> 00:57:30,400
Speaker 1: stay with me. All We got Brett in Virginia who's

983
00:57:30,400 --> 00:57:33,440
Speaker 1: got a dumb federal regulation for me. Brett, lay it

984
00:57:33,520 --> 00:57:37,240
Speaker 1: on me. Hey, Buck, are you tonight? I'm good man,

985
00:57:37,360 --> 00:57:41,400
Speaker 1: Thank you for calling in. Well, I have a pressure

986
00:57:41,440 --> 00:57:46,080
Speaker 1: washing business and I fight both E p A and

987
00:57:48,240 --> 00:57:53,040
Speaker 1: um OSHA. So just to give you an example of

988
00:57:53,160 --> 00:57:57,440
Speaker 1: how crazy the regulations are. Um if we claim a

989
00:57:57,560 --> 00:58:01,000
Speaker 1: building and we use kind of coals, but you have

990
00:58:01,120 --> 00:58:03,600
Speaker 1: to capture that and put it in a sanitary sewer.

991
00:58:03,640 --> 00:58:05,919
Speaker 1: And I understand that because it's chemicals and we don't

992
00:58:05,920 --> 00:58:10,480
Speaker 1: want those ruining our water system. Even though I'm conservative,

993
00:58:10,520 --> 00:58:14,080
Speaker 1: I don't like to do things like that. Yeah, everybody

994
00:58:14,120 --> 00:58:16,680
Speaker 1: actually wants clean water. There's this there's this left wing

995
00:58:16,760 --> 00:58:19,720
Speaker 1: myth out there. That people will want to poison, especially

996
00:58:19,760 --> 00:58:22,560
Speaker 1: the communities they live in, because you know, the e

997
00:58:22,720 --> 00:58:24,520
Speaker 1: p A has to save the day or something. It's

998
00:58:24,560 --> 00:58:28,000
Speaker 1: crazy exactly. And and and these are people that I

999
00:58:28,040 --> 00:58:30,240
Speaker 1: mean e p A started out at nothing, and that

1000
00:58:30,320 --> 00:58:34,160
Speaker 1: it's a gigantic organization. But here, here's the here's the

1001
00:58:34,200 --> 00:58:37,160
Speaker 1: funny part of this thing. So I cleaned the building

1002
00:58:37,240 --> 00:58:41,800
Speaker 1: with hot water only because it's easier to do it

1003
00:58:41,920 --> 00:58:44,640
Speaker 1: that way than it is the chemicals. I still have

1004
00:58:44,800 --> 00:58:49,120
Speaker 1: to capture that water and the dirt and all that

1005
00:58:49,200 --> 00:58:52,560
Speaker 1: comes off of those buildings. I have to take that water.

1006
00:58:52,720 --> 00:58:54,520
Speaker 1: I have to put it in some kind of vessel,

1007
00:58:55,000 --> 00:58:57,880
Speaker 1: and then I have to pump it into grass, dirt

1008
00:58:58,120 --> 00:59:01,440
Speaker 1: or gravel so they can then be filtered. And I

1009
00:59:01,560 --> 00:59:05,320
Speaker 1: said to the person who was with the state, the

1010
00:59:05,520 --> 00:59:08,800
Speaker 1: same as e p A, what happens when it rains?

1011
00:59:09,760 --> 00:59:13,240
Speaker 1: They have no answer, right, So you're telling me that

1012
00:59:13,840 --> 00:59:17,440
Speaker 1: you're literally using water to clean as you're as part

1013
00:59:17,480 --> 00:59:19,560
Speaker 1: of your business. You're you're using water on the outside

1014
00:59:19,600 --> 00:59:22,400
Speaker 1: of a building which is hit with water when it rains,

1015
00:59:22,720 --> 00:59:25,840
Speaker 1: and you have to treat the water runoff from cleaning

1016
00:59:25,920 --> 00:59:30,280
Speaker 1: the building like you're using dangerous or abrasive chemicals or

1017
00:59:30,320 --> 00:59:33,800
Speaker 1: something pretty much pretty close to it. Oh, I'm sorry.

1018
00:59:33,840 --> 00:59:35,960
Speaker 1: It has to be filtered through the ground, not through it.

1019
00:59:36,160 --> 00:59:38,120
Speaker 1: So it's not a separate thing. But it has to

1020
00:59:38,120 --> 00:59:42,800
Speaker 1: be filtered through the ground because why because it's dirty.

1021
00:59:44,680 --> 00:59:47,040
Speaker 1: So you have special regulations for how you dispose of

1022
00:59:47,120 --> 00:59:51,040
Speaker 1: dirty water. It's it's dirty. I mean, does dirty water

1023
00:59:51,160 --> 00:59:55,160
Speaker 1: not go down the storm drains anyway? Yeah, I would think. So,

1024
00:59:55,600 --> 00:59:58,280
Speaker 1: I'm trying to Wow, that isn't a regulation. Is so

1025
00:59:58,400 --> 01:00:00,280
Speaker 1: dumb that I'm having a hard time understand. I didn't

1026
01:00:00,280 --> 01:00:02,640
Speaker 1: get Brett. Well, on top of that, I've drat the

1027
01:00:02,720 --> 01:00:06,000
Speaker 1: ocean regulations and I've got my STS manuals. I have

1028
01:00:06,080 --> 01:00:08,360
Speaker 1: to keep one in the shop and one and and

1029
01:00:08,480 --> 01:00:11,440
Speaker 1: one in each truck. Here's the funny thing. If you

1030
01:00:11,640 --> 01:00:14,600
Speaker 1: buy it in in the store and I bring it

1031
01:00:14,640 --> 01:00:17,480
Speaker 1: into my office. So let's say you go out and

1032
01:00:17,520 --> 01:00:19,320
Speaker 1: you buy some wind X and put it under your

1033
01:00:19,360 --> 01:00:22,400
Speaker 1: cabinet in the house. Well, that's fine and wonderful. But

1034
01:00:22,480 --> 01:00:25,360
Speaker 1: if I buy that same windex and put it in

1035
01:00:25,480 --> 01:00:28,440
Speaker 1: my office for my employees to use, I have to

1036
01:00:28,520 --> 01:00:31,280
Speaker 1: have an SCS sheet on that. And for those who

1037
01:00:31,320 --> 01:00:35,160
Speaker 1: don't know what STS is. It's material safety data sheets

1038
01:00:36,200 --> 01:00:39,160
Speaker 1: and it explains what it is, what it's made of,

1039
01:00:39,720 --> 01:00:42,440
Speaker 1: and what you do in case this happens or that happens,

1040
01:00:42,960 --> 01:00:48,000
Speaker 1: open your kitchen cabinet. Yeah, there you go, Brett, great examples, man.

1041
01:00:48,040 --> 01:00:51,440
Speaker 1: Thank you for calling from Virginia. I appreciate it. And

1042
01:00:51,520 --> 01:00:53,960
Speaker 1: keep doing what you do. Um. Yeah, you know, it's

1043
01:00:54,040 --> 01:00:58,160
Speaker 1: it's amazing to me when you uh, when we uh

1044
01:00:58,480 --> 01:01:01,000
Speaker 1: look at the on the on the apple orchard, the

1045
01:01:01,080 --> 01:01:03,720
Speaker 1: whole farmer situation I was telling you about. I didn't

1046
01:01:03,720 --> 01:01:05,640
Speaker 1: even get into some of those details, just about the

1047
01:01:05,800 --> 01:01:10,520
Speaker 1: the enormous amount of paperwork about everything that happens on

1048
01:01:10,680 --> 01:01:14,080
Speaker 1: the farm all the time. They have to and then

1049
01:01:14,120 --> 01:01:16,760
Speaker 1: they go into some crazy examples. You know, anything that

1050
01:01:16,880 --> 01:01:20,560
Speaker 1: happens they have to document it paperwork, and probably in

1051
01:01:20,680 --> 01:01:23,640
Speaker 1: duplicate or triplicate and all this stuff. It's a farm,

1052
01:01:24,120 --> 01:01:26,040
Speaker 1: you know. Yeah, if somebody gets hit with heavy machinery

1053
01:01:26,040 --> 01:01:28,840
Speaker 1: and they're injured, okay, you documented. Right, there's this. This

1054
01:01:28,920 --> 01:01:33,480
Speaker 1: is the thun funny thing of regulation. Sensible regulation is

1055
01:01:33,600 --> 01:01:35,320
Speaker 1: not something that a lot of people have a have

1056
01:01:35,400 --> 01:01:39,560
Speaker 1: a tough time with. Right, It's very easy to understand this.

1057
01:01:41,200 --> 01:01:44,240
Speaker 1: It's just a question, and when the regulations become well,

1058
01:01:44,280 --> 01:01:46,680
Speaker 1: wouldn't this be nice, or oh we have this agenda,

1059
01:01:46,800 --> 01:01:48,960
Speaker 1: Oh we would like it if that were that were happening.

1060
01:01:49,040 --> 01:01:54,040
Speaker 1: I mean, it's just madness. It's just madness. Pollution is

1061
01:01:54,080 --> 01:01:56,480
Speaker 1: a great example, by the way, of how this gets

1062
01:01:56,520 --> 01:01:59,800
Speaker 1: so out of control. There's always this notion that the

1063
01:02:00,200 --> 01:02:02,160
Speaker 1: thinks that we want to get rid of all regulations

1064
01:02:02,200 --> 01:02:06,000
Speaker 1: and everything, because if if conservatives have had their way,

1065
01:02:06,360 --> 01:02:09,440
Speaker 1: we'd be living in some kind of uh you know,

1066
01:02:09,600 --> 01:02:14,000
Speaker 1: iron randy and anarchy where only the strong survive and

1067
01:02:14,160 --> 01:02:17,720
Speaker 1: people will be polluting everything. And now nobody actually wants

1068
01:02:17,760 --> 01:02:20,160
Speaker 1: to poison people. Really, that's I mean, I'm not saying

1069
01:02:20,200 --> 01:02:22,280
Speaker 1: it never happens. I'm just saying it's it's not an

1070
01:02:22,320 --> 01:02:27,120
Speaker 1: active goal of of industry or jab or job creators

1071
01:02:27,280 --> 01:02:30,800
Speaker 1: or they don't need to act like everybody's trying to

1072
01:02:30,880 --> 01:02:33,480
Speaker 1: do terrible things all the time. But they do. They

1073
01:02:33,800 --> 01:02:37,520
Speaker 1: certainly do. Uh. So there's that. So we got some

1074
01:02:37,600 --> 01:02:39,440
Speaker 1: of the regulation stuff in there. I know, you you know,

1075
01:02:39,440 --> 01:02:41,280
Speaker 1: how many other people are gonna spend time on their

1076
01:02:41,400 --> 01:02:43,720
Speaker 1: radio show or on on their TV show or whatever

1077
01:02:43,800 --> 01:02:48,520
Speaker 1: about regulatory burden, regulatory fatigue, as it is called hello

1078
01:02:48,800 --> 01:02:52,760
Speaker 1: and fatigued from the regulations. That's how we roll here though,

1079
01:02:52,840 --> 01:02:56,520
Speaker 1: the Freedom Hunt. We do educational stuff here as well,

1080
01:02:56,680 --> 01:02:59,080
Speaker 1: you know, not just all the country. That country is

1081
01:02:59,160 --> 01:03:02,320
Speaker 1: being destroy you know, okay, yeah, anyone can do that, right.

1082
01:03:02,480 --> 01:03:05,200
Speaker 1: The country is going down the tubes, you know. Okay,

1083
01:03:05,960 --> 01:03:08,160
Speaker 1: that's that's that's fun at all. But there's other things

1084
01:03:08,200 --> 01:03:11,040
Speaker 1: to talk about as well. I think I'm gonna hold

1085
01:03:11,080 --> 01:03:15,000
Speaker 1: off on my speaking of fearmongering. No, but really, I

1086
01:03:15,080 --> 01:03:17,120
Speaker 1: think I'm gonna hold off on the discussion about what

1087
01:03:17,200 --> 01:03:21,160
Speaker 1: happens if China stops buying treasuries and maybe starts to

1088
01:03:21,240 --> 01:03:24,120
Speaker 1: unwind some of its treasury positions for a later time.

1089
01:03:24,160 --> 01:03:26,080
Speaker 1: He might even have an expert guest come on and

1090
01:03:26,120 --> 01:03:29,080
Speaker 1: get into that one, because that's that's how things start

1091
01:03:29,160 --> 01:03:31,080
Speaker 1: to be a little scary. The the debt, which I

1092
01:03:31,200 --> 01:03:33,080
Speaker 1: know nobody really wants to talk about. The debt is

1093
01:03:33,200 --> 01:03:35,680
Speaker 1: still a big problem, and it's getting worse all the time.

1094
01:03:35,840 --> 01:03:38,560
Speaker 1: But right now, people, I don't want to get into it.

1095
01:03:38,640 --> 01:03:41,000
Speaker 1: So all right, I hear you and all that. I

1096
01:03:41,160 --> 01:03:44,920
Speaker 1: hear that switching gears though for a second from that

1097
01:03:45,000 --> 01:03:46,760
Speaker 1: whole I'm gonna need you to do a heartbreak with me. Here.

1098
01:03:46,760 --> 01:03:49,520
Speaker 1: We're gonna get away from that for a second talk.

1099
01:03:50,000 --> 01:03:52,160
Speaker 1: We're gonna take a tough breath. It will We'll stretch

1100
01:03:52,240 --> 01:03:53,840
Speaker 1: it out. I told you before I got my neck

1101
01:03:53,960 --> 01:03:56,480
Speaker 1: is killing me. So maybe you can take a moment

1102
01:03:56,520 --> 01:03:58,920
Speaker 1: wherever you're listening and just just do do yourself. Favorite

1103
01:03:59,040 --> 01:04:01,360
Speaker 1: do a little stretching. It's something I don't do nearly

1104
01:04:01,480 --> 01:04:04,200
Speaker 1: enough of. And I'm hurting myself because I get all

1105
01:04:04,320 --> 01:04:09,680
Speaker 1: tightly wound from reading and writing and researching all the time.

1106
01:04:09,880 --> 01:04:15,320
Speaker 1: It's not not good for your posture. Uh. The greatest

1107
01:04:15,520 --> 01:04:21,720
Speaker 1: newest nickname out there courtesy of Trump is Sneaky Diane Finstein.

1108
01:04:22,320 --> 01:04:24,840
Speaker 1: This is when he tweeted out earlier today, the single

1109
01:04:24,920 --> 01:04:32,800
Speaker 1: greatest witch hunt in American history continues. There was no collusion. Everybody,

1110
01:04:32,880 --> 01:04:35,680
Speaker 1: including the Dems, knows there was no collusion. And yet

1111
01:04:35,760 --> 01:04:39,480
Speaker 1: on it goes Russia and the world is laughing at

1112
01:04:39,560 --> 01:04:45,080
Speaker 1: the stupidity they're witnessing. Republicans should finally take control. Uh.

1113
01:04:45,440 --> 01:04:49,280
Speaker 1: And then he says, wait, where's the sneaky what does

1114
01:04:49,320 --> 01:04:52,280
Speaker 1: he call her? Sneaky fin Stein? I forget where he

1115
01:04:53,440 --> 01:04:57,000
Speaker 1: it happened. President Trump's Oh Yeah. The fact that sneaky

1116
01:04:57,120 --> 01:05:01,280
Speaker 1: Diane fin Stein, who this is what I was looking for.

1117
01:05:01,440 --> 01:05:03,280
Speaker 1: The fact that sneaky Diane fine Stein, who was on

1118
01:05:03,360 --> 01:05:06,760
Speaker 1: numerous occasion state inclusion has not been found, would release

1119
01:05:06,880 --> 01:05:09,640
Speaker 1: testimony in such an underhand that and possibly illegal way,

1120
01:05:09,720 --> 01:05:15,080
Speaker 1: totally without authorization, is a disgrace. Must have primary Uh so, yeah,

1121
01:05:15,160 --> 01:05:19,640
Speaker 1: he calls her sneaky, sneaky Diane Feinstein. Meanwhile, over at

1122
01:05:19,760 --> 01:05:24,320
Speaker 1: the MS MSNBC, here's what Laurence O'Donnell had to say

1123
01:05:24,320 --> 01:05:27,680
Speaker 1: about the fine Stein testimony transcript. I don't know if

1124
01:05:27,720 --> 01:05:29,800
Speaker 1: we call it a leak, but whatever it was, here's

1125
01:05:29,800 --> 01:05:32,280
Speaker 1: what here's here's that the left is treating this. So

1126
01:05:32,400 --> 01:05:38,040
Speaker 1: what Diane Spinstein did today was the single most important

1127
01:05:38,120 --> 01:05:41,280
Speaker 1: act by the United States senator since Donald Trump took

1128
01:05:41,360 --> 01:05:45,080
Speaker 1: the oath of office. Nothing less than that, sir, stop

1129
01:05:45,200 --> 01:05:51,400
Speaker 1: the hammering, Stop the hammering. Laurence O'Donnell once said, Uh,

1130
01:05:51,800 --> 01:05:53,200
Speaker 1: I don't know how he could say that's the most

1131
01:05:53,240 --> 01:05:55,640
Speaker 1: important thing ever, because one, there's a lot of redactions

1132
01:05:55,680 --> 01:05:57,160
Speaker 1: in it, so there's a lot that we're still not

1133
01:05:57,200 --> 01:05:59,400
Speaker 1: allowed to know. And I would like to know why

1134
01:06:00,440 --> 01:06:05,560
Speaker 1: fusion GPS is work isn't classified because Fusion GPS is

1135
01:06:05,760 --> 01:06:08,600
Speaker 1: a private sector entity working at the behest of a

1136
01:06:08,680 --> 01:06:12,640
Speaker 1: political campaign. So why would there be stuff that we're

1137
01:06:12,840 --> 01:06:15,240
Speaker 1: that is not for public view? From that, why will

1138
01:06:15,320 --> 01:06:20,160
Speaker 1: Fusion GPS only testify behind closed doors? Another question that

1139
01:06:20,240 --> 01:06:24,000
Speaker 1: I think we all deserve some answers to. And and

1140
01:06:24,080 --> 01:06:26,440
Speaker 1: how Laurence O'Donnell comes up with the notion that this

1141
01:06:26,520 --> 01:06:28,400
Speaker 1: is the most important thing that any Senator has done

1142
01:06:28,560 --> 01:06:31,480
Speaker 1: under Trump's presidency. I mean, maybe the Senate is not

1143
01:06:31,520 --> 01:06:34,200
Speaker 1: doing a lot of really important stuff, fine, but it

1144
01:06:34,240 --> 01:06:38,280
Speaker 1: seems to me that Feinstein clearly has an agenda at

1145
01:06:38,320 --> 01:06:39,960
Speaker 1: work here. Some are saying what she did is not

1146
01:06:40,080 --> 01:06:42,560
Speaker 1: even legal. I don't know. I didn't I didn't spend

1147
01:06:42,640 --> 01:06:49,320
Speaker 1: time on Capitol Hill with regard to these kinds of testimony,

1148
01:06:49,360 --> 01:06:50,680
Speaker 1: so I can't tell you if it's legal or not.

1149
01:06:50,840 --> 01:06:54,320
Speaker 1: But it seems to me like it quite clearly was

1150
01:06:54,440 --> 01:06:58,840
Speaker 1: intended to have some political effect or impacts. So there

1151
01:06:58,880 --> 01:07:03,960
Speaker 1: you have it. Uh, Sneaky Diane Feinstein the newest of

1152
01:07:04,120 --> 01:07:08,200
Speaker 1: the Trump nicknames, Sneaky fin Stein. Trump is great with

1153
01:07:08,280 --> 01:07:10,720
Speaker 1: the nicknames. I mean, you know, to say what you

1154
01:07:10,800 --> 01:07:16,240
Speaker 1: will about the guy. He gives nicknames that stick sneaky Diane. Alright,

1155
01:07:16,520 --> 01:07:19,800
Speaker 1: eight four or four eight to five. We'll get into

1156
01:07:19,920 --> 01:07:24,240
Speaker 1: some of the um some me too moment stuff, and

1157
01:07:24,280 --> 01:07:25,680
Speaker 1: I think it's got a little lot of control. Get

1158
01:07:25,720 --> 01:07:28,080
Speaker 1: into that and some other things coming up here, So

1159
01:07:28,200 --> 01:07:29,880
Speaker 1: stay right there. I'll be back. I feel like I

1160
01:07:29,960 --> 01:07:35,080
Speaker 1: could do a whole show just on Crazy CNN. Chiron's

1161
01:07:35,560 --> 01:07:38,360
Speaker 1: Kirn's are the little words, you know, little banners the

1162
01:07:38,400 --> 01:07:42,040
Speaker 1: bottom of the of the TV screen. And there was

1163
01:07:42,120 --> 01:07:46,200
Speaker 1: one I sec togo about Yale psychiatrists warning about warning

1164
01:07:46,280 --> 01:07:53,080
Speaker 1: Congress about Trump's mental health. Okay, well, what exactly are

1165
01:07:53,080 --> 01:07:55,680
Speaker 1: they warning about here? This is not somebody who has

1166
01:07:56,920 --> 01:08:00,520
Speaker 1: not somebody who's actually been able to diagnos house and

1167
01:08:00,680 --> 01:08:04,400
Speaker 1: spend time with the president. So it's it's just crazy.

1168
01:08:05,360 --> 01:08:07,560
Speaker 1: They're crazy. They think Trump's crazy, and the truth is

1169
01:08:07,720 --> 01:08:12,720
Speaker 1: they are crazy. Oh my gosh. They will not let

1170
01:08:12,800 --> 01:08:15,640
Speaker 1: it go. They won't stop if they don't get them

1171
01:08:15,640 --> 01:08:17,719
Speaker 1: on Russian collusion. They're they're going to try to convince

1172
01:08:17,760 --> 01:08:22,960
Speaker 1: people that that the president has that the president is deranged. Meanwhile,

1173
01:08:23,040 --> 01:08:25,519
Speaker 1: the president is doing all kinds of great stuff for

1174
01:08:25,560 --> 01:08:30,080
Speaker 1: the country, including outside of the country too. Here's what

1175
01:08:30,160 --> 01:08:34,639
Speaker 1: he had to say about earlier today about the Korea situation,

1176
01:08:34,760 --> 01:08:38,920
Speaker 1: that the North and South Korean standoff, nuclear standoff between

1177
01:08:39,000 --> 01:08:42,439
Speaker 1: Kim Jong un and the rest of the world. Here's

1178
01:08:42,439 --> 01:08:46,720
Speaker 1: what Trump had to say. I just spoke to President Moon.

1179
01:08:47,840 --> 01:08:50,519
Speaker 1: He's very thankful for what we've done that having talks

1180
01:08:50,600 --> 01:08:53,720
Speaker 1: with North Korea. Will see how that happens. Uh. He

1181
01:08:54,240 --> 01:08:58,960
Speaker 1: felt that the original that the initial talk was extremely

1182
01:08:59,000 --> 01:09:02,320
Speaker 1: good and a lot of good comment. Rex was on

1183
01:09:02,400 --> 01:09:06,400
Speaker 1: the phone, and Nikki has been totally briefed. But we

1184
01:09:06,479 --> 01:09:09,679
Speaker 1: had a very very good conversation and we'll see where

1185
01:09:09,680 --> 01:09:12,439
Speaker 1: it goes. He's very thankful for what we've done. It

1186
01:09:12,560 --> 01:09:15,760
Speaker 1: was so reported today, uh that we were the ones.

1187
01:09:15,840 --> 01:09:19,000
Speaker 1: Without our attitude that would have never happened. Who knows

1188
01:09:19,040 --> 01:09:21,920
Speaker 1: where it leads, hopefully to lead to success for the world,

1189
01:09:22,400 --> 01:09:27,280
Speaker 1: not just for our country, but for the world. So

1190
01:09:27,680 --> 01:09:30,680
Speaker 1: we've been told by the press for a while that

1191
01:09:30,960 --> 01:09:34,080
Speaker 1: Trump's approach to North Korea, to Kim Jong On specifically,

1192
01:09:34,320 --> 01:09:37,479
Speaker 1: is antagonistic, could lead to nuclear war. That was the

1193
01:09:37,560 --> 01:09:43,600
Speaker 1: whole That was the whole, uh. Summary version of what

1194
01:09:43,720 --> 01:09:45,720
Speaker 1: they were saying about Trump's tweets where we call them

1195
01:09:45,800 --> 01:09:49,400
Speaker 1: rocket man and everything and yeah, here we are. You have.

1196
01:09:49,920 --> 01:09:51,439
Speaker 1: You don't have to just take my word for it,

1197
01:09:52,520 --> 01:09:57,120
Speaker 1: you have. The president of South Korea, President Moon jay In,

1198
01:09:58,680 --> 01:10:04,080
Speaker 1: said that quote. Trump deserves big credit for kicking off

1199
01:10:04,120 --> 01:10:07,880
Speaker 1: the first talks between Pyongyang and Soul in more than

1200
01:10:07,960 --> 01:10:11,800
Speaker 1: two years. North Korea has agreed to send a delegation

1201
01:10:12,280 --> 01:10:16,160
Speaker 1: to the Winter Olympics next month. Now, I'm I'm very

1202
01:10:17,240 --> 01:10:20,240
Speaker 1: sober minded about this. I'm very forthright with you all.

1203
01:10:20,360 --> 01:10:23,120
Speaker 1: I know that this could just be a North Korean

1204
01:10:23,200 --> 01:10:28,600
Speaker 1: head fake or a North Korean ploy, but it is

1205
01:10:28,680 --> 01:10:30,760
Speaker 1: also the first time in two years that there has

1206
01:10:30,800 --> 01:10:34,680
Speaker 1: been any real talking between North and South Korea, and

1207
01:10:34,840 --> 01:10:39,760
Speaker 1: it happens to be occurring right after a series of

1208
01:10:40,680 --> 01:10:45,839
Speaker 1: decisions by the Trump administration to implement more powerful sanctions

1209
01:10:45,880 --> 01:10:48,519
Speaker 1: against North Korea, and also Trump saying, look, you know,

1210
01:10:49,520 --> 01:10:51,960
Speaker 1: if you want to play rough you know a little

1211
01:10:52,000 --> 01:10:56,240
Speaker 1: man in North Korea, guess what a rocket man? You know?

1212
01:10:56,400 --> 01:11:00,920
Speaker 1: I can play rougher when you're talking about a regime

1213
01:11:00,960 --> 01:11:04,440
Speaker 1: like North Korea where the cult of personality is absolute

1214
01:11:04,520 --> 01:11:09,839
Speaker 1: and absolutist, When you're looking at a truly totalitarian society

1215
01:11:09,920 --> 01:11:13,759
Speaker 1: like that where the leader is worshiped in an almost

1216
01:11:13,840 --> 01:11:18,280
Speaker 1: godlike status that somebody would challenge him so directly in

1217
01:11:18,360 --> 01:11:23,519
Speaker 1: this way, we've been told will only result in heightened

1218
01:11:23,600 --> 01:11:26,519
Speaker 1: chance of of of an actual nuclear exchange, nuclear war

1219
01:11:26,560 --> 01:11:29,320
Speaker 1: with North Korea, which they may get off a couple

1220
01:11:29,320 --> 01:11:31,879
Speaker 1: of missiles, but there won't be any North Korea left afterwards,

1221
01:11:31,960 --> 01:11:34,400
Speaker 1: as we all know. So that's not a war they

1222
01:11:34,439 --> 01:11:36,360
Speaker 1: would win. It's not a where anybody wants either, but

1223
01:11:37,280 --> 01:11:40,880
Speaker 1: it's war we would finish. And we've been told that

1224
01:11:41,000 --> 01:11:44,879
Speaker 1: you can't you can't hit back at the bully publicly

1225
01:11:44,960 --> 01:11:49,120
Speaker 1: this way. It's it's uh crazy, what there's that word again?

1226
01:11:49,640 --> 01:11:52,080
Speaker 1: You know, it's irresponsible Trump is doing. Meanwhile, you got

1227
01:11:52,120 --> 01:11:55,560
Speaker 1: the president of South Korea, who I think knows a

1228
01:11:55,600 --> 01:11:58,880
Speaker 1: whole lot more about North Korea South Korean relations in

1229
01:11:58,960 --> 01:12:03,320
Speaker 1: the military situation. Then all these different pundits and journalists

1230
01:12:03,360 --> 01:12:07,320
Speaker 1: and such running around sharing their opinions on this. Who's

1231
01:12:07,320 --> 01:12:09,840
Speaker 1: saying that President Trump deserves a lot of credit here

1232
01:12:11,360 --> 01:12:15,679
Speaker 1: for taking action, for doing something, for forcing North Korea's hand,

1233
01:12:17,120 --> 01:12:20,880
Speaker 1: And is this something that's getting into coverage New New

1234
01:12:21,000 --> 01:12:25,000
Speaker 1: of course not. There's also been this uprising in Iran,

1235
01:12:25,840 --> 01:12:28,360
Speaker 1: which if you go back and look at the if

1236
01:12:28,400 --> 01:12:31,240
Speaker 1: you look at what the conventional wisdom of the foreign

1237
01:12:31,320 --> 01:12:35,040
Speaker 1: policy echo chamber has been on these two problems. Remember

1238
01:12:35,080 --> 01:12:38,720
Speaker 1: the two states left from what Bush described as the

1239
01:12:38,800 --> 01:12:41,519
Speaker 1: access of evil, right it was Iraq, Iran, North Korea.

1240
01:12:42,360 --> 01:12:44,880
Speaker 1: And now the rock has gone, not no longer on

1241
01:12:44,960 --> 01:12:48,040
Speaker 1: the access of evil now that it's gone as a place,

1242
01:12:48,920 --> 01:12:51,719
Speaker 1: but Iran and North Korea is still remained very serious

1243
01:12:51,760 --> 01:12:57,200
Speaker 1: problems with the United States. And yet the foreign policy

1244
01:12:57,360 --> 01:13:00,240
Speaker 1: consensus from the people who think they know about these

1245
01:13:00,280 --> 01:13:02,960
Speaker 1: things in the media at least, and from the former

1246
01:13:03,040 --> 01:13:06,360
Speaker 1: Obama administration officials who just make they really make a

1247
01:13:06,439 --> 01:13:09,800
Speaker 1: mockery of themselves on a regular basis. These uh foreign

1248
01:13:09,880 --> 01:13:12,639
Speaker 1: policy bros that worked for Obama that are running around

1249
01:13:12,640 --> 01:13:14,240
Speaker 1: you can see some of them on Twitter and stuff

1250
01:13:16,000 --> 01:13:18,639
Speaker 1: and the But the wisdom has been, oh, well, because

1251
01:13:18,840 --> 01:13:25,000
Speaker 1: Trump was uh being well, because he's been critical of

1252
01:13:25,040 --> 01:13:29,040
Speaker 1: the Iran nuclear deal. The people of Iran have rallied

1253
01:13:29,120 --> 01:13:32,320
Speaker 1: behind the regime. That was like a month ago, people

1254
01:13:32,400 --> 01:13:34,160
Speaker 1: that were writing that in New York Times and there

1255
01:13:34,200 --> 01:13:39,479
Speaker 1: that was the storyline. Oh they're there. Trump's refusal to

1256
01:13:39,520 --> 01:13:42,400
Speaker 1: play by Obama's rules when it comes to Iran is

1257
01:13:42,439 --> 01:13:46,479
Speaker 1: just making everything worse. Meanwhile, we've seen an uprising against

1258
01:13:46,520 --> 01:13:50,719
Speaker 1: the regime, and not just against any one particular small

1259
01:13:50,840 --> 01:13:53,439
Speaker 1: policy of the regime has has been doing in Iran,

1260
01:13:53,840 --> 01:13:57,000
Speaker 1: but against the the entirety of it, the whole blocracy,

1261
01:13:57,120 --> 01:14:00,200
Speaker 1: the whole thing, the Mullah's run of the show uh

1262
01:14:01,200 --> 01:14:05,200
Speaker 1: Iranian Islamist Revolution. They're like, this is all crap. We're

1263
01:14:05,200 --> 01:14:08,920
Speaker 1: sick of it. It's bad, we don't want this anymore. Oh,

1264
01:14:09,040 --> 01:14:11,600
Speaker 1: I guess all the foreign policy consensus about Trump on

1265
01:14:11,720 --> 01:14:15,000
Speaker 1: this was was not right. Huh. The same things going

1266
01:14:15,040 --> 01:14:17,680
Speaker 1: on here with North Korea. Oh Trump, you can't do that.

1267
01:14:17,880 --> 01:14:19,920
Speaker 1: You can't say his mean things about Kim Jong un.

1268
01:14:21,120 --> 01:14:22,840
Speaker 1: Uh So we're just supposed to sit around and and

1269
01:14:22,920 --> 01:14:25,680
Speaker 1: let By the way, it's a big propaganda tool for

1270
01:14:25,840 --> 01:14:28,840
Speaker 1: the North Koreans that Kim Jong un gets his way,

1271
01:14:29,400 --> 01:14:31,920
Speaker 1: gets away literally with murder, but Kim jongan gets his

1272
01:14:32,000 --> 01:14:36,320
Speaker 1: way with the international community, doesn't suffer consequences, slaps out

1273
01:14:36,360 --> 01:14:38,320
Speaker 1: at countries that are much bigger and more powerful than him,

1274
01:14:38,320 --> 01:14:42,560
Speaker 1: including the United States, and you know there's there's no

1275
01:14:42,720 --> 01:14:46,120
Speaker 1: real pushback. Well, Trump is calling him out basic, calling

1276
01:14:46,200 --> 01:14:49,760
Speaker 1: him a punk and saying, look, the door to negotiation

1277
01:14:49,800 --> 01:14:51,320
Speaker 1: and diplomacy is open. But if you want to be

1278
01:14:51,400 --> 01:14:53,880
Speaker 1: a punk, we we can. We can treat you like one.

1279
01:14:55,600 --> 01:14:58,360
Speaker 1: And people say, oh, foreign policy, it was so bad. Meanwhile,

1280
01:14:58,760 --> 01:15:00,960
Speaker 1: like I said, the President to South Korea is looking

1281
01:15:00,960 --> 01:15:04,760
Speaker 1: at saying, actually, Trump knows knows something that all the

1282
01:15:04,920 --> 01:15:09,479
Speaker 1: Obama experts from that eight years of foreign policy disaster.

1283
01:15:10,080 --> 01:15:13,760
Speaker 1: Trump seems to know something they don't know. Like like

1284
01:15:13,880 --> 01:15:15,840
Speaker 1: others of them pointing out they can call Trump crazy

1285
01:15:15,960 --> 01:15:17,840
Speaker 1: till they're blow in the face. But from everything we

1286
01:15:17,960 --> 01:15:21,240
Speaker 1: see so far, if Trump is crazy, my friends, he

1287
01:15:21,439 --> 01:15:24,320
Speaker 1: is crazy like a fox. We'll be right back. Let's

1288
01:15:24,360 --> 01:15:28,759
Speaker 1: talk about the latest with the me too movement, Jolly,

1289
01:15:28,920 --> 01:15:34,080
Speaker 1: Let's discuss some stories that fall into this category of

1290
01:15:35,320 --> 01:15:42,920
Speaker 1: UH the movement against sexual harassment and uh the all

1291
01:15:43,000 --> 01:15:45,160
Speaker 1: all the different iterations of this. Now, there are a

1292
01:15:45,280 --> 01:15:48,920
Speaker 1: few things coming together, different perspectives on this that I

1293
01:15:48,920 --> 01:15:51,600
Speaker 1: would like to spend some time working through with you.

1294
01:15:52,640 --> 01:15:55,479
Speaker 1: First of all, there there's well, in a way, this

1295
01:15:55,600 --> 01:15:57,760
Speaker 1: touches on the meat the meat too movement, which is

1296
01:15:57,960 --> 01:16:02,160
Speaker 1: as you know, is about women who are sharing their

1297
01:16:02,200 --> 01:16:05,599
Speaker 1: stories of harassment or assault or but it it has

1298
01:16:05,720 --> 01:16:11,040
Speaker 1: been also used in politicized ways already, as any political

1299
01:16:11,080 --> 01:16:13,760
Speaker 1: movement would be. It has been used by some to grandstand.

1300
01:16:14,479 --> 01:16:19,759
Speaker 1: It has been appropriated for the self interest of different

1301
01:16:19,800 --> 01:16:24,080
Speaker 1: individuals at different times. So we're going to look at

1302
01:16:24,120 --> 01:16:28,519
Speaker 1: this from different perspectives. You've got Mark Wahlberg, whom I

1303
01:16:28,640 --> 01:16:30,800
Speaker 1: have to say has has grown on me as as

1304
01:16:30,840 --> 01:16:33,080
Speaker 1: an actor. I like him more now than I used to.

1305
01:16:33,200 --> 01:16:36,200
Speaker 1: I like I like a fair amount of his movies. Um,

1306
01:16:36,400 --> 01:16:38,479
Speaker 1: in the earlier day, I was not a Marky Mark

1307
01:16:38,520 --> 01:16:42,000
Speaker 1: and the Funky Bunch fan. It's some of you. Yeah,

1308
01:16:42,000 --> 01:16:44,080
Speaker 1: you're old enough to remember. You know what I'm talking about.

1309
01:16:44,760 --> 01:16:48,839
Speaker 1: You know, I can't remember the songs. But Mark Wahlberg

1310
01:16:48,960 --> 01:16:51,400
Speaker 1: has has matured as as an actor as a performer,

1311
01:16:51,439 --> 01:16:53,519
Speaker 1: and I think he's done a He's done a good job.

1312
01:16:55,240 --> 01:16:58,439
Speaker 1: But good Way, Good Vibrations was the Marky Mark and

1313
01:16:58,439 --> 01:17:01,120
Speaker 1: the Funky Bunch. Really, that's a pretty good song. Maybe

1314
01:17:01,160 --> 01:17:04,080
Speaker 1: I'll take that back anyway, I have a Marky Mark.

1315
01:17:04,200 --> 01:17:06,000
Speaker 1: I'm sorry, Mark part. I did not mean to do that.

1316
01:17:06,080 --> 01:17:09,559
Speaker 1: Mark Wahlberg, who is a very big box office draw,

1317
01:17:10,439 --> 01:17:13,000
Speaker 1: was part of the reshoots for the All the Money

1318
01:17:13,040 --> 01:17:14,800
Speaker 1: in the World movie, not All the Money in the

1319
01:17:14,880 --> 01:17:20,080
Speaker 1: world had to be reshot because of a me Too

1320
01:17:20,880 --> 01:17:26,400
Speaker 1: movement moments in which it came out that Kevin space

1321
01:17:26,479 --> 01:17:34,040
Speaker 1: He had tried to engage in a sexual encounter with

1322
01:17:34,479 --> 01:17:36,880
Speaker 1: an actor male actor who at the time was was

1323
01:17:37,400 --> 01:17:39,720
Speaker 1: underage under the age of consent in the state of

1324
01:17:39,760 --> 01:17:43,080
Speaker 1: New York, and that got him in a whole lot

1325
01:17:43,160 --> 01:17:46,120
Speaker 1: of trouble. And he has he's one of these people

1326
01:17:46,200 --> 01:17:50,439
Speaker 1: now who's who's been outed and his career outed as

1327
01:17:50,439 --> 01:17:53,920
Speaker 1: a predator and his career is obviously I don't know

1328
01:17:53,920 --> 01:17:55,600
Speaker 1: if you say it's totally done, but never gonna be

1329
01:17:55,680 --> 01:17:59,920
Speaker 1: the same guys off the show House of Cards, which

1330
01:18:00,080 --> 01:18:01,920
Speaker 1: I have to say the first season was entertaining a

1331
01:18:02,120 --> 01:18:04,479
Speaker 1: very overrated show. I couldn't even make it through the

1332
01:18:04,560 --> 01:18:10,559
Speaker 1: third season. But anyway, but he's now he's been one

1333
01:18:10,600 --> 01:18:13,360
Speaker 1: of these people who has gotten a whole lot of

1334
01:18:13,400 --> 01:18:16,720
Speaker 1: trouble because of what he it is allegedly, remember this

1335
01:18:16,840 --> 01:18:18,559
Speaker 1: has not been proven to court a lot, but allegedly

1336
01:18:18,600 --> 01:18:20,560
Speaker 1: did a long time ago, and we're trying to do

1337
01:18:20,600 --> 01:18:24,640
Speaker 1: a long time ago. Oh and Mark Wahlberg had to

1338
01:18:24,720 --> 01:18:26,519
Speaker 1: be part of the reshoot Becausey had to take Kevin

1339
01:18:26,560 --> 01:18:30,040
Speaker 1: Spacey out of the movie. Well, the big issue here

1340
01:18:30,120 --> 01:18:31,800
Speaker 1: is that it's come out and it's been made a

1341
01:18:31,840 --> 01:18:35,759
Speaker 1: big issue by the media that Mark Wahlberg got paid

1342
01:18:35,920 --> 01:18:39,679
Speaker 1: one point five million dollars for the reshoot of the movie.

1343
01:18:40,200 --> 01:18:42,760
Speaker 1: That was necessary. The reshoot was necessary because they had

1344
01:18:42,880 --> 01:18:46,720
Speaker 1: they scrubbed Kevin Spacey from the movie, literally removed him

1345
01:18:47,120 --> 01:18:50,400
Speaker 1: in post production and and used another actor's face like

1346
01:18:50,640 --> 01:18:54,040
Speaker 1: he they it's pretty amazing technologically they removed him from

1347
01:18:54,080 --> 01:18:56,800
Speaker 1: the movie. He got paid one one five million dollars.

1348
01:18:56,880 --> 01:19:02,080
Speaker 1: Michelle Williams uh got paid a thousand dollars, it has

1349
01:19:02,120 --> 01:19:06,000
Speaker 1: been reported, which you know, that's a big that is

1350
01:19:06,040 --> 01:19:09,000
Speaker 1: a big pay differential. But a few things about this,

1351
01:19:09,240 --> 01:19:11,240
Speaker 1: and it's and people are saying that, see this is

1352
01:19:11,360 --> 01:19:13,800
Speaker 1: yet again the you know, equal work, equal pay thing,

1353
01:19:14,000 --> 01:19:17,320
Speaker 1: fair pay me to all all this different stuff, all

1354
01:19:17,360 --> 01:19:23,519
Speaker 1: of this gender inequality political movement gets tied into this

1355
01:19:23,760 --> 01:19:25,960
Speaker 1: right away. And I would just say, look, I haven't

1356
01:19:25,960 --> 01:19:27,920
Speaker 1: looked too deeply into the details here. I don't have

1357
01:19:27,960 --> 01:19:31,200
Speaker 1: access to the contracts they sign. I don't know, but

1358
01:19:31,439 --> 01:19:34,680
Speaker 1: from what I understand, well, a couple of things. One

1359
01:19:34,840 --> 01:19:42,200
Speaker 1: is that I know that Mark Wahlberg uh was or

1360
01:19:42,520 --> 01:19:47,120
Speaker 1: is a much bigger actor in terms of being a

1361
01:19:47,240 --> 01:19:50,200
Speaker 1: box office draw than Michelle Williams is. That's just a fact.

1362
01:19:51,400 --> 01:19:55,200
Speaker 1: I think Wallberg's movies have grossed in the last couple

1363
01:19:55,240 --> 01:19:58,800
Speaker 1: of years close to a billion dollars. Michelle williams movies

1364
01:19:58,840 --> 01:20:01,880
Speaker 1: have not gross close to a lillion dollars. And movie

1365
01:20:01,920 --> 01:20:06,200
Speaker 1: making is a business, not a business that is necessarily

1366
01:20:06,360 --> 01:20:08,280
Speaker 1: conducted very well. A lot of times in terms of

1367
01:20:08,320 --> 01:20:09,880
Speaker 1: the bottom line. A lot of mistakes are made, a

1368
01:20:09,880 --> 01:20:14,000
Speaker 1: lot of bad movies get made. But Mark Wahlberg is

1369
01:20:14,000 --> 01:20:16,800
Speaker 1: a is a box office draw. It's about the I

1370
01:20:16,840 --> 01:20:18,160
Speaker 1: don't know much of the lingo here, but I know

1371
01:20:18,240 --> 01:20:21,000
Speaker 1: that's something. They say. He's a box office draw. Michelle

1372
01:20:21,000 --> 01:20:24,360
Speaker 1: Williams not so much. I I do have to. I

1373
01:20:24,479 --> 01:20:27,000
Speaker 1: thought my Week with Maryland, which Michelle Williams started, for

1374
01:20:27,080 --> 01:20:28,560
Speaker 1: those of you who are looking for a movie to

1375
01:20:28,600 --> 01:20:30,000
Speaker 1: watch that you may have been off your I thought

1376
01:20:30,040 --> 01:20:31,400
Speaker 1: it was a very good movie. And I don't just

1377
01:20:31,479 --> 01:20:34,000
Speaker 1: say movies here are bad, so you can you know,

1378
01:20:34,040 --> 01:20:35,719
Speaker 1: those of you who are already writing out those emails,

1379
01:20:35,760 --> 01:20:37,920
Speaker 1: you can stop. There are lots of movies that I love.

1380
01:20:38,920 --> 01:20:41,000
Speaker 1: I just like to call out movies that people like

1381
01:20:41,200 --> 01:20:43,920
Speaker 1: for the wrong reasons, particularly reasons of politics, or you know,

1382
01:20:44,040 --> 01:20:47,040
Speaker 1: it's everyone's supposed to like a movie, so we're all

1383
01:20:47,080 --> 01:20:48,640
Speaker 1: told it's so great, But I like to be the

1384
01:20:48,680 --> 01:20:50,920
Speaker 1: one who says, no, it's actually not good. Don't even

1385
01:20:50,960 --> 01:20:52,840
Speaker 1: get me started on Avatar and how terrible it is.

1386
01:20:52,920 --> 01:20:56,880
Speaker 1: I'll be here all night. Uh. That's the first example

1387
01:20:56,960 --> 01:20:58,200
Speaker 1: came to mix I saw. I think they're making a

1388
01:20:58,280 --> 01:21:01,360
Speaker 1: second one, which is just it's just it's like a

1389
01:21:01,439 --> 01:21:06,280
Speaker 1: form of torture. Avatar was horrible. Um, but Mark Wahlberg

1390
01:21:06,320 --> 01:21:08,120
Speaker 1: pay at one point five million, Michell Williams up pay hiss.

1391
01:21:08,120 --> 01:21:09,800
Speaker 1: But he's a much bigger actor than she is. As

1392
01:21:09,880 --> 01:21:12,920
Speaker 1: this as this stuff goes, now, I understand the immediate

1393
01:21:13,000 --> 01:21:16,960
Speaker 1: response you get there is buck He's not He's not

1394
01:21:17,080 --> 01:21:20,519
Speaker 1: a thousand times more valuable than she is. And that's true, right,

1395
01:21:20,560 --> 01:21:22,639
Speaker 1: I mean she she is a pretty well known actress,

1396
01:21:22,680 --> 01:21:24,920
Speaker 1: and like I said, the movie might be Maryland is

1397
01:21:24,920 --> 01:21:26,519
Speaker 1: a very good movie. I think you should go check

1398
01:21:26,520 --> 01:21:32,879
Speaker 1: it out. Um, but it's uh. It's also an example

1399
01:21:32,920 --> 01:21:35,880
Speaker 1: of well did she just say she would do it

1400
01:21:35,960 --> 01:21:38,200
Speaker 1: for free? Because if she agreed to do it for free,

1401
01:21:38,240 --> 01:21:42,960
Speaker 1: it's not an equal pay disparity, sexual discrimination thing. It's

1402
01:21:43,000 --> 01:21:44,560
Speaker 1: just as she said, she do it for free, he

1403
01:21:44,720 --> 01:21:48,479
Speaker 1: demanded money. I mean, there is a what the market

1404
01:21:48,520 --> 01:21:51,120
Speaker 1: will bear a component of all this discussion as well.

1405
01:21:51,240 --> 01:21:53,599
Speaker 1: But as you can see, there's an immediate you got

1406
01:21:53,680 --> 01:21:55,960
Speaker 1: paid disparity between a man and woman. It must be

1407
01:21:56,080 --> 01:21:59,920
Speaker 1: because of sexism. Well it could be, but in this case,

1408
01:22:00,840 --> 01:22:04,240
Speaker 1: he's a bigger actor. And what were the terms of

1409
01:22:04,280 --> 01:22:09,640
Speaker 1: her agreement? You know, if somebody just better at negotiating

1410
01:22:09,680 --> 01:22:11,760
Speaker 1: a deal for themselves than somebody else, I don't think

1411
01:22:11,760 --> 01:22:14,040
Speaker 1: it's fair to always just suggest or to to to

1412
01:22:14,320 --> 01:22:20,880
Speaker 1: assume that it's about sexism. Uh. Then you have another case,

1413
01:22:21,080 --> 01:22:23,680
Speaker 1: another me too situation here, and this one's also a

1414
01:22:23,760 --> 01:22:27,040
Speaker 1: little I'm I'm illustrating it to make a point, But

1415
01:22:27,160 --> 01:22:28,560
Speaker 1: I don't know all that. No one knows all the

1416
01:22:28,600 --> 01:22:32,679
Speaker 1: details yet. But here's what's going on. James Franco, whom

1417
01:22:32,920 --> 01:22:35,160
Speaker 1: I do not like as an actor. I don't know

1418
01:22:35,240 --> 01:22:38,080
Speaker 1: him as a person, doesn't matter. I don't like him

1419
01:22:38,080 --> 01:22:41,000
Speaker 1: as an actor, find him to be very self satisfied

1420
01:22:41,000 --> 01:22:44,880
Speaker 1: and annoying, and and don't like his whole stick. But

1421
01:22:45,040 --> 01:22:49,960
Speaker 1: he was on the Stephen Colbert Show last night, and

1422
01:22:50,479 --> 01:22:54,960
Speaker 1: while he was on Stephen Colbert Show, it can't Colbert apparently,

1423
01:22:55,840 --> 01:22:57,280
Speaker 1: by the way, I don't is he really is he

1424
01:22:57,280 --> 01:22:59,920
Speaker 1: a comedian anymore? Is he a political commentator who makes jokes?

1425
01:23:00,000 --> 01:23:02,000
Speaker 1: Some times? I think we know that Colbert is really

1426
01:23:02,120 --> 01:23:07,200
Speaker 1: just hashtag resistance comedian who sometimes is making jokes but

1427
01:23:07,400 --> 01:23:11,120
Speaker 1: has also doing a lot of finger wagging and moral

1428
01:23:11,240 --> 01:23:14,080
Speaker 1: preening and grandstanding and just trying to appeal to the

1429
01:23:14,240 --> 01:23:18,080
Speaker 1: coastal anti Trump audience as much as he can. Guys,

1430
01:23:18,160 --> 01:23:22,000
Speaker 1: not funny. His show stinks, And I really, and I

1431
01:23:22,080 --> 01:23:24,840
Speaker 1: mean that with all my heart. His show stinks. I'm

1432
01:23:24,840 --> 01:23:26,920
Speaker 1: sure they pay him like twenty million years. Stink though,

1433
01:23:27,000 --> 01:23:30,559
Speaker 1: so that's a good gig. And he though sat down

1434
01:23:30,600 --> 01:23:33,600
Speaker 1: with James Franco. He told Franco, who's gonna bring this up?

1435
01:23:33,880 --> 01:23:37,479
Speaker 1: Franco was at the I was gonna say the Oscars,

1436
01:23:37,520 --> 01:23:39,680
Speaker 1: but it's the Golden Globes and he was all He

1437
01:23:39,800 --> 01:23:42,000
Speaker 1: was also with the whole meat too thing. I forget

1438
01:23:42,040 --> 01:23:45,200
Speaker 1: he wore either wore something or he was part of

1439
01:23:45,240 --> 01:23:46,920
Speaker 1: the Meat too movement in some way there at the

1440
01:23:47,000 --> 01:23:50,360
Speaker 1: Golden Globes where he had all these actresses who you know,

1441
01:23:50,400 --> 01:23:53,120
Speaker 1: couldn't say a peep some of them about Harvey Weinstein.

1442
01:23:53,640 --> 01:23:55,559
Speaker 1: You know, when it would have really mattered. But now

1443
01:23:55,760 --> 01:23:58,559
Speaker 1: everybody's you know, now everybody's a hero, and now everybody

1444
01:23:58,640 --> 01:24:05,240
Speaker 1: okay but Walberg. I'm sorry. Franco has had a few

1445
01:24:05,280 --> 01:24:08,320
Speaker 1: actors come out and call him out publicly on on Twitter,

1446
01:24:09,640 --> 01:24:12,200
Speaker 1: call him out on social media to say that there's

1447
01:24:12,240 --> 01:24:15,160
Speaker 1: something this guy did, some bad stuff, and I would

1448
01:24:15,160 --> 01:24:18,280
Speaker 1: just note that. Here is his response. He was asked

1449
01:24:18,280 --> 01:24:21,160
Speaker 1: about this by Stephen Colby. Here's how Franco responded to

1450
01:24:21,280 --> 01:24:28,599
Speaker 1: all this. There were some things on Twitter, UM today, Yeah,

1451
01:24:28,680 --> 01:24:31,160
Speaker 1: I didn't. I didn't. I haven't read them. I've heard

1452
01:24:31,160 --> 01:24:35,040
Speaker 1: about them. UM. Okay, First of all, I don't. I

1453
01:24:35,320 --> 01:24:37,200
Speaker 1: have no idea what I did to Ali Shed. I

1454
01:24:37,360 --> 01:24:41,360
Speaker 1: directed her in a playoff Broadway. I had nothing but

1455
01:24:41,479 --> 01:24:45,599
Speaker 1: a great time with her. Uh, total respect for her.

1456
01:24:45,920 --> 01:24:48,200
Speaker 1: I no, I have no idea why she was upset

1457
01:24:48,240 --> 01:24:50,800
Speaker 1: she took the tweet down. I don't. I don't know. UM,

1458
01:24:51,600 --> 01:24:56,080
Speaker 1: I can't speak for her. I don't know. UM the others.

1459
01:24:56,360 --> 01:25:03,160
Speaker 1: Look in my life, I pride myself on taking responsibility

1460
01:25:03,240 --> 01:25:05,920
Speaker 1: for things that I've done. I have to do that

1461
01:25:06,080 --> 01:25:10,680
Speaker 1: to maintain my well being. I do it. Whenever I

1462
01:25:10,800 --> 01:25:13,400
Speaker 1: know that that there's something wrong or needs to be changed,

1463
01:25:13,640 --> 01:25:16,720
Speaker 1: I make it a point to do it. The things

1464
01:25:16,760 --> 01:25:19,840
Speaker 1: that I heard that that were on Twitter, um are

1465
01:25:19,920 --> 01:25:26,200
Speaker 1: not accurate. Um. But I completely support people coming out

1466
01:25:26,320 --> 01:25:28,120
Speaker 1: and being able to have a voice because I didn't

1467
01:25:28,120 --> 01:25:30,479
Speaker 1: have a voice for so long. So I don't want to.

1468
01:25:31,280 --> 01:25:33,600
Speaker 1: I don't want to, you know, shut them down in

1469
01:25:33,680 --> 01:25:36,600
Speaker 1: any way. It's it's I think a good thing, and

1470
01:25:36,640 --> 01:25:40,080
Speaker 1: I supported all right, So I I know. Let me

1471
01:25:40,200 --> 01:25:42,960
Speaker 1: just say I know none of the facts here. I mean,

1472
01:25:43,000 --> 01:25:45,680
Speaker 1: nobody does really right except for James Franco and his accusers.

1473
01:25:46,080 --> 01:25:49,720
Speaker 1: So I'm not I'm a passing judgment on whether what

1474
01:25:49,880 --> 01:25:52,640
Speaker 1: any woman has claimed about Franco is true or not.

1475
01:25:52,760 --> 01:25:55,040
Speaker 1: I have no idea, and that's not for now. I

1476
01:25:55,160 --> 01:25:57,439
Speaker 1: just I want to look at another aspect of this,

1477
01:25:57,840 --> 01:26:00,759
Speaker 1: so just put that aside. And and I don't like Franco,

1478
01:26:00,800 --> 01:26:02,439
Speaker 1: as I told you, as an actor, but that shouldn't

1479
01:26:02,479 --> 01:26:06,120
Speaker 1: affect any of my judgment here anyway, uh, because that's

1480
01:26:06,160 --> 01:26:08,320
Speaker 1: just as an actor, and who cares? That doesn't matter.

1481
01:26:09,720 --> 01:26:14,760
Speaker 1: Here's the thing. If you're accused of sexual misconduct as

1482
01:26:14,920 --> 01:26:17,200
Speaker 1: as a as a guy, and you know, as a

1483
01:26:17,240 --> 01:26:19,599
Speaker 1: public figure. You know, if you're James Franco, I feel

1484
01:26:19,680 --> 01:26:23,679
Speaker 1: like you you gotta go one of you. There's gotta

1485
01:26:23,680 --> 01:26:26,240
Speaker 1: be one or two things going on here. Either you

1486
01:26:26,360 --> 01:26:28,080
Speaker 1: messed up and you better at a minute. And I

1487
01:26:28,160 --> 01:26:30,080
Speaker 1: don't know how severe this stuff is we're talking about it.

1488
01:26:30,080 --> 01:26:32,040
Speaker 1: I don't know if this is just harassment comments. I

1489
01:26:32,120 --> 01:26:36,479
Speaker 1: don't but I'm just trying to get it what seems

1490
01:26:36,520 --> 01:26:40,160
Speaker 1: to me to be a troubling trend here. You're you know,

1491
01:26:40,240 --> 01:26:42,240
Speaker 1: you either did some stuff where you didn't do some stuff,

1492
01:26:43,040 --> 01:26:45,760
Speaker 1: and if you didn't do anything really wrong, you know,

1493
01:26:45,800 --> 01:26:50,240
Speaker 1: if you didn't cross lines. If the accusations as he

1494
01:26:50,320 --> 01:26:53,040
Speaker 1: says there, he says, well, it's not accurate. If they're untrue,

1495
01:26:53,800 --> 01:26:57,479
Speaker 1: you should be able to say those are lies, and

1496
01:26:57,920 --> 01:26:59,720
Speaker 1: it's terrible that people would lie about me in that

1497
01:27:00,040 --> 01:27:03,040
Speaker 1: a And if they are lies, you shouldn't then have

1498
01:27:03,320 --> 01:27:05,920
Speaker 1: to say on top of it. But you know, I

1499
01:27:06,000 --> 01:27:08,479
Speaker 1: don't wanna you could see he was very He's very

1500
01:27:08,560 --> 01:27:10,639
Speaker 1: sort of it was a weird interview, right. The whole

1501
01:27:10,680 --> 01:27:14,280
Speaker 1: thing was kind of what you know, it's either true

1502
01:27:14,320 --> 01:27:17,080
Speaker 1: or it's not. If it's not true, you shouldn't then,

1503
01:27:17,360 --> 01:27:19,560
Speaker 1: And like I said, I'm not passing judgment on it

1504
01:27:19,640 --> 01:27:21,840
Speaker 1: being true or not. But if it's not true, as

1505
01:27:21,880 --> 01:27:23,600
Speaker 1: a guy, you shouldn't have to stand up there or

1506
01:27:23,640 --> 01:27:27,360
Speaker 1: sit there and say but you know, I I really

1507
01:27:27,439 --> 01:27:30,040
Speaker 1: support the movement and everything we hold On a second,

1508
01:27:31,000 --> 01:27:33,639
Speaker 1: these are not related things. This is about you, buddy,

1509
01:27:33,640 --> 01:27:36,040
Speaker 1: This about James Franco. Did James Franco do bad stuff?

1510
01:27:36,640 --> 01:27:38,519
Speaker 1: If James Franco did bad stuff, he should be held

1511
01:27:38,560 --> 01:27:40,839
Speaker 1: to account and he should be saying sorry at a minimum.

1512
01:27:40,840 --> 01:27:42,479
Speaker 1: I again, I don't know how serious the stuff is,

1513
01:27:43,360 --> 01:27:46,599
Speaker 1: but if it's not true, I really am troubled by

1514
01:27:46,680 --> 01:27:49,439
Speaker 1: the notion that now, as a public figure, as a guy,

1515
01:27:49,960 --> 01:27:54,720
Speaker 1: when something's not true, if it's not true, you still

1516
01:27:54,800 --> 01:27:56,760
Speaker 1: have to be like, but I really appreciate these women

1517
01:27:56,840 --> 01:27:58,439
Speaker 1: coming forward to share that No no, no, no, no,

1518
01:27:58,520 --> 01:28:00,640
Speaker 1: no no no, this we're not getting this thing of

1519
01:28:00,760 --> 01:28:04,040
Speaker 1: like everybody has their truth. I'm sorry, And Stephen Colbert

1520
01:28:04,040 --> 01:28:05,440
Speaker 1: went on to say, you know, how do we adjudicate

1521
01:28:05,520 --> 01:28:07,680
Speaker 1: between different I didn't play that audio for you, but

1522
01:28:07,960 --> 01:28:12,000
Speaker 1: between different perceptions of events or something there's right and

1523
01:28:12,040 --> 01:28:14,639
Speaker 1: there's wrong. You know that you either did bad stuff

1524
01:28:14,680 --> 01:28:17,120
Speaker 1: where you didn't and if somebody's lying about you, you

1525
01:28:17,200 --> 01:28:19,920
Speaker 1: should be able to call that out without fear of

1526
01:28:20,000 --> 01:28:23,280
Speaker 1: seeming insensitive about the rest of the movement. You see,

1527
01:28:23,320 --> 01:28:29,720
Speaker 1: what's happened is that the individuals rights two to be

1528
01:28:29,880 --> 01:28:31,400
Speaker 1: able to get to the truth, to be able to

1529
01:28:31,439 --> 01:28:33,760
Speaker 1: defend themselves, that is being suppressed because now it's like

1530
01:28:33,800 --> 01:28:37,439
Speaker 1: your anti the movement, the me too movement, if you

1531
01:28:37,600 --> 01:28:40,720
Speaker 1: seem like you're too forcefully denouncing what are what would

1532
01:28:40,720 --> 01:28:45,120
Speaker 1: be false accusations here right, if in fact they're false.

1533
01:28:45,760 --> 01:28:48,280
Speaker 1: But I think you see what I'm saying. It's it's

1534
01:28:48,320 --> 01:28:51,800
Speaker 1: troubling to see somebody who clearly is taking issue at

1535
01:28:51,880 --> 01:28:54,840
Speaker 1: some level with some of the accusations, and and he

1536
01:28:54,920 --> 01:28:57,479
Speaker 1: has his impulse. You know, I think it's still you know,

1537
01:28:57,560 --> 01:28:59,080
Speaker 1: I still want to say that, you know, I'm so

1538
01:28:59,760 --> 01:29:02,320
Speaker 1: so respectful of the movement. It's also good and everything else.

1539
01:29:02,360 --> 01:29:04,519
Speaker 1: I mean, if he's caught and he's in trouble, yeah,

1540
01:29:04,560 --> 01:29:06,080
Speaker 1: then I understand why he's saying it. But if he

1541
01:29:06,120 --> 01:29:08,559
Speaker 1: didn't do anything, why has he got to say all

1542
01:29:08,600 --> 01:29:12,160
Speaker 1: that stuff? You know what I mean? All right, there's

1543
01:29:12,200 --> 01:29:16,120
Speaker 1: also some other folks out there who, as a very

1544
01:29:16,280 --> 01:29:19,000
Speaker 1: famous actress who's saying this me too thing has gotten

1545
01:29:19,040 --> 01:29:21,479
Speaker 1: out a hand. So I want to talk to you

1546
01:29:21,520 --> 01:29:22,800
Speaker 1: about that, but I'll have you have to stay with

1547
01:29:22,880 --> 01:29:24,200
Speaker 1: me through the break and I'll give you the details.

1548
01:29:24,200 --> 01:29:27,600
Speaker 1: Stare right there. So I'm assuming a bunch of you

1549
01:29:27,960 --> 01:29:32,639
Speaker 1: fair number you probably know an actress by the name

1550
01:29:32,680 --> 01:29:38,200
Speaker 1: of Catherine Deneuve who was really the most famous French

1551
01:29:38,280 --> 01:29:41,040
Speaker 1: actress of her generation, but was what was globally known

1552
01:29:41,560 --> 01:29:48,200
Speaker 1: very very famous French actress um and she has signed

1553
01:29:48,479 --> 01:29:52,479
Speaker 1: a letter with over a hundred other French women in

1554
01:29:52,680 --> 01:29:56,519
Speaker 1: entertainment and it's a public letter that is just straight

1555
01:29:56,600 --> 01:29:59,800
Speaker 1: up denouncing the French counterpart because now this is this

1556
01:29:59,880 --> 01:30:02,000
Speaker 1: is become a global phenomenon, at least in the West,

1557
01:30:02,080 --> 01:30:05,240
Speaker 1: this whole me too movement, the French counterpart movement is

1558
01:30:05,280 --> 01:30:11,799
Speaker 1: called bellancetam Expose your pig, which is just a public

1559
01:30:11,880 --> 01:30:15,320
Speaker 1: shaming of any guy who in the entertainment industry particularly

1560
01:30:15,520 --> 01:30:20,200
Speaker 1: has acted in an untoward fashioned when it comes to women.

1561
01:30:20,520 --> 01:30:26,600
Speaker 1: That's the idea. But the the hun women writing this

1562
01:30:26,720 --> 01:30:31,440
Speaker 1: letter wrote the following. Rape is a crime, but insistent

1563
01:30:31,680 --> 01:30:36,360
Speaker 1: or clumsy flirting is not a crime. Nor is gallantry

1564
01:30:36,600 --> 01:30:40,759
Speaker 1: a chauvinist aggression. As a result of the Weinstein affair,

1565
01:30:40,840 --> 01:30:45,000
Speaker 1: there has has been a legitimate realization of the sexual

1566
01:30:45,120 --> 01:30:49,479
Speaker 1: violence women experience, particularly in the workplace, where some abuse,

1567
01:30:49,920 --> 01:30:54,040
Speaker 1: some men abuse their power. It was necessary, but now

1568
01:30:54,320 --> 01:30:59,320
Speaker 1: this liberation of speech has been turned on its head. Uh,

1569
01:31:00,080 --> 01:31:02,800
Speaker 1: these women are saying, look, this is this can't be

1570
01:31:02,920 --> 01:31:05,080
Speaker 1: the the new normal. Can't just be And I don't

1571
01:31:05,080 --> 01:31:07,160
Speaker 1: know again, I mentioned the Franco case. I don't know

1572
01:31:07,240 --> 01:31:10,400
Speaker 1: the details of whether that looks particularly bad form or not.

1573
01:31:11,920 --> 01:31:14,240
Speaker 1: But the new normal is that if your name turns

1574
01:31:14,320 --> 01:31:16,720
Speaker 1: up on some list, and there have been lists circulated,

1575
01:31:16,920 --> 01:31:19,080
Speaker 1: and or if your name comes out in the press

1576
01:31:19,120 --> 01:31:23,720
Speaker 1: as a sexual harasser, you know, the pressure is so

1577
01:31:24,000 --> 01:31:27,000
Speaker 1: strong to push you out right away, and I should not.

1578
01:31:27,439 --> 01:31:30,479
Speaker 1: This also is gonna have ramifications when it comes to

1579
01:31:30,560 --> 01:31:33,640
Speaker 1: main street businesses too, not just you know, not just

1580
01:31:35,320 --> 01:31:38,960
Speaker 1: stuff out in Hollywood and in politics and the media,

1581
01:31:39,120 --> 01:31:41,840
Speaker 1: news media. But it's gonna be the case. Now, it's

1582
01:31:41,840 --> 01:31:44,320
Speaker 1: gonna be corporate culture. You know, nobody's gonna want to

1583
01:31:44,320 --> 01:31:46,280
Speaker 1: have the No one's gonna want the bad press for

1584
01:31:46,400 --> 01:31:48,960
Speaker 1: we didn't take care of that harass er right away.

1585
01:31:50,200 --> 01:31:52,360
Speaker 1: And I'm not saying that anybody should be standing up

1586
01:31:52,360 --> 01:31:54,000
Speaker 1: for guys who are doing bad stuff. I'm just saying

1587
01:31:54,040 --> 01:31:57,120
Speaker 1: that we should always look at every individual should have

1588
01:31:57,240 --> 01:32:01,240
Speaker 1: the right to prove his innocence right. Every individual should

1589
01:32:01,240 --> 01:32:04,360
Speaker 1: have a right to at least some semblance of of

1590
01:32:04,520 --> 01:32:10,200
Speaker 1: due process, including with their public image and their their reputation.

1591
01:32:10,400 --> 01:32:12,560
Speaker 1: I mean, your reputation is everything now, is you know,

1592
01:32:12,720 --> 01:32:17,120
Speaker 1: in business and and in corporate America and just any

1593
01:32:17,439 --> 01:32:20,559
Speaker 1: professional capacity. Your reputations everything because the Internet, no, all

1594
01:32:20,600 --> 01:32:23,640
Speaker 1: of our reputations follow us everywhere. So this letter from

1595
01:32:23,680 --> 01:32:27,800
Speaker 1: these hundred French women has the following quote. This expedited

1596
01:32:27,920 --> 01:32:32,160
Speaker 1: justice already has its victims, men prevented from practicing their

1597
01:32:32,200 --> 01:32:36,479
Speaker 1: professions as punishment, forced to resign, while the only thing

1598
01:32:36,600 --> 01:32:40,080
Speaker 1: they did wrong was touching a knee, trying to steal

1599
01:32:40,120 --> 01:32:43,639
Speaker 1: a kiss, or speaking about intimate things at a work dinner,

1600
01:32:44,240 --> 01:32:47,439
Speaker 1: or sending messages with sexual connotations to a woman whose

1601
01:32:47,479 --> 01:32:53,920
Speaker 1: feelings were not mutual. End quote. So you know, I've

1602
01:32:53,960 --> 01:32:55,679
Speaker 1: been warning about this for a while because it's obvious

1603
01:32:55,720 --> 01:32:58,000
Speaker 1: this was going to happen, but it's true. I mean,

1604
01:32:58,040 --> 01:32:59,680
Speaker 1: somebody else needs to stand up and say, you know,

1605
01:33:00,640 --> 01:33:04,680
Speaker 1: if somebody leans in for a kiss and you know

1606
01:33:04,840 --> 01:33:09,080
Speaker 1: it's unrequited or you know it's not the responses hey,

1607
01:33:09,200 --> 01:33:10,720
Speaker 1: no that I don't think of you that way, or

1608
01:33:10,800 --> 01:33:13,560
Speaker 1: we work together, we shouldn't. The guy backs off and

1609
01:33:13,600 --> 01:33:15,000
Speaker 1: it's like, I'm sorry, I miss let us to the

1610
01:33:15,040 --> 01:33:17,320
Speaker 1: situation and then continues to be a you know, a

1611
01:33:18,040 --> 01:33:20,240
Speaker 1: respectful human being and a professional. Doesn't make him a

1612
01:33:20,280 --> 01:33:24,240
Speaker 1: bad guy. Actually just makes him a guy. That's the truth.

1613
01:33:25,160 --> 01:33:26,960
Speaker 1: That's that's gonna I mean, I'm assuming the guy is

1614
01:33:27,000 --> 01:33:28,880
Speaker 1: not married and the woman is not married, but you know,

1615
01:33:29,520 --> 01:33:32,240
Speaker 1: just makes him a guy. And that's been kind of

1616
01:33:32,320 --> 01:33:35,200
Speaker 1: lost in all this. You know, this is people are

1617
01:33:35,280 --> 01:33:41,160
Speaker 1: saying some some pretty uh this concerting stuff about oh,

1618
01:33:41,400 --> 01:33:43,080
Speaker 1: you know, somebody made a comment you know, a long

1619
01:33:43,120 --> 01:33:45,360
Speaker 1: time ago. Look, you know this woman who wrote this

1620
01:33:45,439 --> 01:33:49,719
Speaker 1: whole piece about Matt Lower. Yeah, Matt Lower is married

1621
01:33:49,760 --> 01:33:51,720
Speaker 1: and he's gross and he is a pig, and he

1622
01:33:51,760 --> 01:33:55,280
Speaker 1: should have been tossed a long time ago. But you know,

1623
01:33:55,640 --> 01:33:58,680
Speaker 1: she chose to have an affair with this guy. And

1624
01:33:59,520 --> 01:34:02,439
Speaker 1: there was never or any like you better or else.

1625
01:34:02,560 --> 01:34:04,760
Speaker 1: It was just you know, he caught her eye, she

1626
01:34:04,880 --> 01:34:08,400
Speaker 1: caught his eye, and then then off into the break room.

1627
01:34:08,479 --> 01:34:12,240
Speaker 1: They went, I mean, it's bad behavior, to be sure,

1628
01:34:12,400 --> 01:34:16,160
Speaker 1: but that's not in the same category like the Weinstein stuff.

1629
01:34:16,240 --> 01:34:18,439
Speaker 1: And that woman is not some martyr for the call

1630
01:34:18,600 --> 01:34:22,000
Speaker 1: I ain't. I don't know this is this has gotten

1631
01:34:22,000 --> 01:34:24,160
Speaker 1: out of control. These the French women see it that way.

1632
01:34:24,200 --> 01:34:28,160
Speaker 1: That sign this letter at least, so there's that. We'll

1633
01:34:28,200 --> 01:34:32,400
Speaker 1: talk about the Obama Presidential Library, all the first drawings

1634
01:34:32,520 --> 01:34:35,320
Speaker 1: of it today. We can discuss that it's a library

1635
01:34:35,320 --> 01:34:37,800
Speaker 1: apparently that's not gonna have any books. I mean that,

1636
01:34:38,000 --> 01:34:42,080
Speaker 1: that's what they're saying. We'll be back, okay, winfree for president.

1637
01:34:42,320 --> 01:34:46,920
Speaker 1: Your thoughts? You know? It wasn't that a fabulous speech?

1638
01:34:47,439 --> 01:34:52,759
Speaker 1: And hearing Oprah's voice and her energy and her passion

1639
01:34:53,000 --> 01:34:57,920
Speaker 1: and her determination, it's inspiring. Is the country hungry for

1640
01:34:58,040 --> 01:35:07,719
Speaker 1: another mega celebrity billionaire? I don't know, Hey, Elizabeth Warren,

1641
01:35:07,800 --> 01:35:12,320
Speaker 1: not sure if Oprah's Oprah's the next president of the

1642
01:35:12,400 --> 01:35:13,840
Speaker 1: United States or not. I don't know why. I just

1643
01:35:13,880 --> 01:35:15,080
Speaker 1: want to play this because I want to make fun

1644
01:35:15,080 --> 01:35:22,960
Speaker 1: of Lizabeth Warren mostly, and also Ocean Camarontum. Hello. But

1645
01:35:23,040 --> 01:35:27,200
Speaker 1: then you had Elizabeth Warren there too. That just amation

1646
01:35:27,479 --> 01:35:33,519
Speaker 1: Oh gosh, it was so good. She's about as charming

1647
01:35:33,560 --> 01:35:36,720
Speaker 1: as Hillary. That Elizabeth Warren about his charming Hillary, which

1648
01:35:36,760 --> 01:35:40,240
Speaker 1: is is saying quite something, isn't it. I like the

1649
01:35:40,280 --> 01:35:41,880
Speaker 1: Trump said that he would beat Opra, but then he's like,

1650
01:35:41,920 --> 01:35:44,840
Speaker 1: I like Oprah, Opra is cool. So you know, it's

1651
01:35:44,920 --> 01:35:47,320
Speaker 1: Rob's Trump's a good guy. Everyone needs to calm down,

1652
01:35:47,560 --> 01:35:50,719
Speaker 1: you know, I'm not the coast. Have a few laughs.

1653
01:35:50,840 --> 01:35:52,760
Speaker 1: It's not that bad, and you're gonna hang out with Trump.

1654
01:35:52,800 --> 01:35:54,800
Speaker 1: It's good everyone, you know, I know, you know, But

1655
01:35:55,479 --> 01:35:57,320
Speaker 1: people don't listen to the show. We need more Democrats

1656
01:35:57,400 --> 01:35:59,479
Speaker 1: listen to the show. We can convert them here. This

1657
01:35:59,640 --> 01:36:03,840
Speaker 1: is like a Democrat conversion tank. You know. We can

1658
01:36:03,920 --> 01:36:07,439
Speaker 1: convert democrats here to to being not even Republicans, just

1659
01:36:07,560 --> 01:36:10,599
Speaker 1: being sane people who understand politics in the world around

1660
01:36:10,640 --> 01:36:12,840
Speaker 1: them better. Maybe that should be something we take on here,

1661
01:36:12,840 --> 01:36:17,400
Speaker 1: a special project, the Freedom Hunt Conversion Project. We we

1662
01:36:17,520 --> 01:36:21,479
Speaker 1: convert Democrats to a conservatives or Republicans. I don't I

1663
01:36:21,960 --> 01:36:23,599
Speaker 1: hope we've kind of moved past that for a while,

1664
01:36:23,640 --> 01:36:25,840
Speaker 1: and it was so much more fashionable to say conservative

1665
01:36:25,880 --> 01:36:28,640
Speaker 1: than Republican. I'm like, yeah, I know, conservatism is the

1666
01:36:28,680 --> 01:36:31,920
Speaker 1: ideology Republican is the party. But yeah, come on, right,

1667
01:36:33,200 --> 01:36:35,000
Speaker 1: parsing a little bit reminds people who are like, well's

1668
01:36:35,000 --> 01:36:38,200
Speaker 1: it's not a democracy, it's a republic. Yeah, but when

1669
01:36:38,240 --> 01:36:40,080
Speaker 1: we say you know, our democracy, we mean that in

1670
01:36:40,160 --> 01:36:43,000
Speaker 1: kind of a general way. Right, people are about to

1671
01:36:43,040 --> 01:36:45,040
Speaker 1: eat on me. No, we don't. I know, I know,

1672
01:36:46,360 --> 01:36:48,760
Speaker 1: same thing, all right, So I toltdally. I was gonna

1673
01:36:48,760 --> 01:36:50,080
Speaker 1: talk about something else, and then I just wanted to

1674
01:36:50,120 --> 01:36:53,639
Speaker 1: play the word. Oh yeah, the Obama Presidential Library. How

1675
01:36:53,760 --> 01:36:57,600
Speaker 1: could I forget? Uh. The latest of that is that

1676
01:36:57,680 --> 01:37:02,200
Speaker 1: there's a a schematic a drawing that's out the show.

1677
01:37:02,800 --> 01:37:05,680
Speaker 1: It's this very large. It looks like, h it really

1678
01:37:05,720 --> 01:37:09,000
Speaker 1: looks like a monument more than a library. Um, maybe

1679
01:37:09,080 --> 01:37:12,320
Speaker 1: that's intentional, but here's what the Fox is reporting on this.

1680
01:37:12,400 --> 01:37:16,120
Speaker 1: The Obama Foundation is taking an unconventional approach to the

1681
01:37:16,280 --> 01:37:20,280
Speaker 1: Presidential Center and library being planned in Chicago. It's opting

1682
01:37:20,320 --> 01:37:23,960
Speaker 1: to host a digital archive of President Barack Obama's records,

1683
01:37:24,280 --> 01:37:26,840
Speaker 1: but not keep his hard copy manuscripts and letters and

1684
01:37:26,920 --> 01:37:30,360
Speaker 1: other documents on site. That means no thumbing through the

1685
01:37:30,439 --> 01:37:34,679
Speaker 1: ex president's correspondence on the health care fight or first

1686
01:37:34,760 --> 01:37:37,679
Speaker 1: drafts of a state of the Union address end quote. Okay,

1687
01:37:37,760 --> 01:37:41,479
Speaker 1: so maybe I'm missing something here. But if you're gonna

1688
01:37:41,560 --> 01:37:46,480
Speaker 1: have just a digital storage facility of Obama's presidential documents,

1689
01:37:47,160 --> 01:37:50,479
Speaker 1: I think that's called the computer. What am I missing?

1690
01:37:51,280 --> 01:37:54,120
Speaker 1: You don't need enormous building if you're not actually gonna

1691
01:37:54,200 --> 01:37:58,080
Speaker 1: keep stuff in it. Ah, but sure enough, I'm sure

1692
01:37:58,160 --> 01:38:01,000
Speaker 1: there will be, uh, there will be some stuff in

1693
01:38:01,080 --> 01:38:04,200
Speaker 1: the Obama Presidential Library. It just kind of it seems

1694
01:38:04,280 --> 01:38:05,599
Speaker 1: kind of fitting in a weird way to other than

1695
01:38:05,640 --> 01:38:11,240
Speaker 1: it that the Obama administration's uh building dedicated towards books

1696
01:38:11,560 --> 01:38:16,720
Speaker 1: and and study and transparency is actually gonna be a

1697
01:38:16,840 --> 01:38:20,000
Speaker 1: digital archive, and that means they're gonna use it for

1698
01:38:20,080 --> 01:38:23,400
Speaker 1: other stuff. It's it's not going to be a library

1699
01:38:23,520 --> 01:38:26,600
Speaker 1: per se. It's gonna be a huge building built to

1700
01:38:26,640 --> 01:38:31,880
Speaker 1: the greatness of Obama and his administration without books in it.

1701
01:38:32,160 --> 01:38:34,600
Speaker 1: It's gonna be a lot of I don't I don't know.

1702
01:38:34,600 --> 01:38:36,559
Speaker 1: I don't know what they're gonna keep there. I mean, look,

1703
01:38:36,680 --> 01:38:40,560
Speaker 1: we all know this, right data storage on in the

1704
01:38:40,640 --> 01:38:43,320
Speaker 1: in the digital era. You know, you could fit all

1705
01:38:43,400 --> 01:38:47,439
Speaker 1: the all the Obama documents on one computer pretty easily,

1706
01:38:47,520 --> 01:38:49,479
Speaker 1: probably on a thumb drive. I don't know how good

1707
01:38:49,520 --> 01:38:52,160
Speaker 1: the thumb drive is anyway, This is just kind of

1708
01:38:52,200 --> 01:38:54,120
Speaker 1: a random thing they've got going on there. Now we've

1709
01:38:54,160 --> 01:38:58,880
Speaker 1: also got we got this video from I think I

1710
01:38:58,920 --> 01:39:01,320
Speaker 1: have time to do this too before you close up

1711
01:39:01,360 --> 01:39:02,880
Speaker 1: shop and the Freedom Hut come up here Shore like

1712
01:39:03,080 --> 01:39:09,120
Speaker 1: this video changing gears here from Campus Reform And is

1713
01:39:09,200 --> 01:39:11,800
Speaker 1: this an Ammi horro Is this zombies? Ammy Horowitzer? No,

1714
01:39:11,880 --> 01:39:15,439
Speaker 1: No different, different video. Sorry, Ammy high five. We'll get

1715
01:39:15,479 --> 01:39:17,240
Speaker 1: your stuff on later on in the week. I'm me

1716
01:39:17,280 --> 01:39:20,439
Speaker 1: send me an email today. I'm getting confused. I like

1717
01:39:20,560 --> 01:39:24,360
Speaker 1: Ammy Ammi's got he's got Gusto. But we got this

1718
01:39:24,439 --> 01:39:29,800
Speaker 1: video from Campus Reform also a great group asking Antifa Antifa.

1719
01:39:30,800 --> 01:39:32,200
Speaker 1: We need to get that drop. We need to have

1720
01:39:32,320 --> 01:39:34,680
Speaker 1: that ready to go. Whatever we can trump with Antifa,

1721
01:39:35,520 --> 01:39:39,840
Speaker 1: I'll pull that Antifa. But you've got a bunch of

1722
01:39:39,920 --> 01:39:43,000
Speaker 1: people being asked by Campus Reform who are they're so

1723
01:39:43,120 --> 01:39:47,040
Speaker 1: called anti fascists on campus? What is fascism? A great

1724
01:39:47,120 --> 01:39:50,040
Speaker 1: question to ask anti fascists. Here's what they said, How

1725
01:39:50,080 --> 01:39:58,599
Speaker 1: would you define what fascism is? I don't know. Fascists,

1726
01:39:58,640 --> 01:40:02,719
Speaker 1: I don't know. It's not an easy thing to define.

1727
01:40:02,800 --> 01:40:06,120
Speaker 1: How would you define fascism. Um, I don't really want

1728
01:40:06,160 --> 01:40:08,800
Speaker 1: to get into all that. I mean, you can't define

1729
01:40:08,840 --> 01:40:10,800
Speaker 1: it though, I don't want to talk about it right now.

1730
01:40:11,200 --> 01:40:19,479
Speaker 1: Fascism is increasingly upward. Um hier anarchical model that preface

1731
01:40:19,600 --> 01:40:27,000
Speaker 1: that puts white people and European people at the top.

1732
01:40:27,360 --> 01:40:29,160
Speaker 1: I would I would like to take their platform away.

1733
01:40:29,160 --> 01:40:33,280
Speaker 1: It sounds kind of fascist. I'm not the government. Yeah,

1734
01:40:33,360 --> 01:40:35,920
Speaker 1: I'm not sure if you really can call any of

1735
01:40:36,000 --> 01:40:41,960
Speaker 1: that a definition or even a vague understanding of what

1736
01:40:42,479 --> 01:40:45,320
Speaker 1: what we would say. Yeah, I don't think. Yeah, I

1737
01:40:45,360 --> 01:40:47,639
Speaker 1: don't think if any idea what fascism is. I think

1738
01:40:47,920 --> 01:40:52,240
Speaker 1: antifa is supposed to be cool, and because antifa is

1739
01:40:52,280 --> 01:40:54,559
Speaker 1: supposed to be cool, they want to be a part

1740
01:40:54,600 --> 01:40:56,639
Speaker 1: of it. And they know that antifa is anti Trump.

1741
01:40:57,200 --> 01:40:59,559
Speaker 1: You know Trump is a fascist in what way exactly? Well,

1742
01:40:59,600 --> 01:41:01,120
Speaker 1: they can't. How can they know because they don't know

1743
01:41:01,160 --> 01:41:03,920
Speaker 1: what fascism is. I thought that was funny too. It's

1744
01:41:03,960 --> 01:41:06,040
Speaker 1: it putting European people at the top. It's like, well,

1745
01:41:06,720 --> 01:41:09,920
Speaker 1: so fascism in Italy, yeah, I mean it was about

1746
01:41:10,720 --> 01:41:14,880
Speaker 1: you know, ultra nationalism for Italians, but you know, it

1747
01:41:15,080 --> 01:41:17,600
Speaker 1: was a political system inside of Europe. I mean that

1748
01:41:18,000 --> 01:41:20,559
Speaker 1: they have no idea what they're talking about, none whatsoever,

1749
01:41:20,680 --> 01:41:23,760
Speaker 1: which is not surprising. But you'd think they might teach,

1750
01:41:23,960 --> 01:41:26,320
Speaker 1: they might teach the kids on a college campus something

1751
01:41:26,360 --> 01:41:28,840
Speaker 1: about fascism. I mean, I would tell you that in

1752
01:41:28,960 --> 01:41:32,960
Speaker 1: my day as a policy major, and I trash policize

1753
01:41:33,000 --> 01:41:35,120
Speaker 1: a major on a preregular basis, just because I like to.

1754
01:41:36,160 --> 01:41:37,800
Speaker 1: If you had asked me about, you know, what's a

1755
01:41:37,960 --> 01:41:40,519
Speaker 1: what's the working definition of communism? What's a working definition

1756
01:41:40,560 --> 01:41:43,400
Speaker 1: of fascism? If it wasn't picture perfect, it would have

1757
01:41:43,439 --> 01:41:45,479
Speaker 1: been good enough, you know, it would would have gotten close.

1758
01:41:46,600 --> 01:41:49,559
Speaker 1: But these days, just to be a part of the movement,

1759
01:41:49,600 --> 01:41:51,720
Speaker 1: just to see these people dressing in all black and

1760
01:41:51,800 --> 01:41:55,040
Speaker 1: opposing Trump, that's what it's really about. And I even

1761
01:41:55,240 --> 01:41:58,759
Speaker 1: I even download I read that book, The Anti Fascist Handbook,

1762
01:41:59,479 --> 01:42:03,000
Speaker 1: which is pretty long, i gotta say, and and pretty

1763
01:42:03,120 --> 01:42:05,280
Speaker 1: delusional in some of its stances. But it does go

1764
01:42:05,400 --> 01:42:07,559
Speaker 1: into the history of anti fascism, which was kind of interesting.

1765
01:42:07,720 --> 01:42:10,200
Speaker 1: So there's even a book written by a leftist for

1766
01:42:10,439 --> 01:42:12,760
Speaker 1: these leftists. They can download it on kindle it man.

1767
01:42:12,800 --> 01:42:16,519
Speaker 1: It might maybe even get a student discount. No idea whatsoever.

1768
01:42:17,840 --> 01:42:20,639
Speaker 1: It's just all about what's politically fashionable, my friends. That's

1769
01:42:20,760 --> 01:42:24,639
Speaker 1: that's what drives so much of this. Um, I'm gonna

1770
01:42:25,120 --> 01:42:27,439
Speaker 1: go roll into a quick break here. When I come back,

1771
01:42:27,520 --> 01:42:29,640
Speaker 1: we're gonna close up the Freedom Hut. Maybe talk a

1772
01:42:29,680 --> 01:42:32,880
Speaker 1: little about the Shields High podcast, which is amazing. Please

1773
01:42:32,960 --> 01:42:35,840
Speaker 1: check that out when you get a chance. On iTunes

1774
01:42:36,080 --> 01:42:39,680
Speaker 1: or on the I Heart app iTunes, you can subscribe

1775
01:42:39,720 --> 01:42:42,160
Speaker 1: Shields High. Just type it in and share with a friend.

1776
01:42:42,200 --> 01:42:44,160
Speaker 1: We'll be right back. And I was just telling the

1777
01:42:44,280 --> 01:42:47,519
Speaker 1: team here before that. You know you're you're getting up there.

1778
01:42:47,640 --> 01:42:51,040
Speaker 1: I'm I'm thirty six now, and this morning I thought

1779
01:42:51,120 --> 01:42:52,519
Speaker 1: I had it all figured out. You know, I had

1780
01:42:52,520 --> 01:42:56,160
Speaker 1: a very busy but productive day planned. We'll woke up

1781
01:42:56,200 --> 01:42:59,080
Speaker 1: feeling good, ready to go. I was in Baltimore yesterday.

1782
01:42:59,080 --> 01:43:02,080
Speaker 1: I got in late last night, and sure enough, I

1783
01:43:02,400 --> 01:43:04,920
Speaker 1: reach up because I did a hit on Fox News

1784
01:43:05,680 --> 01:43:07,479
Speaker 1: this morning to talk some of you may have seen it,

1785
01:43:07,560 --> 01:43:14,479
Speaker 1: to talk about the encryption debate, and I managed I

1786
01:43:15,160 --> 01:43:17,920
Speaker 1: feel like I think I heard something like a pop,

1787
01:43:18,040 --> 01:43:20,719
Speaker 1: but that just might be my my mind playing tricks

1788
01:43:20,760 --> 01:43:23,080
Speaker 1: on me. But I reached up and something along the

1789
01:43:23,120 --> 01:43:24,880
Speaker 1: side of my neck. It felt like someone stabbed me

1790
01:43:24,960 --> 01:43:26,880
Speaker 1: with a knife. And then I started thinking about all

1791
01:43:26,880 --> 01:43:28,479
Speaker 1: these things that I'm told, like, you need to do

1792
01:43:28,640 --> 01:43:32,240
Speaker 1: more yoga, you need to stretch. You know, You're can't

1793
01:43:32,280 --> 01:43:35,280
Speaker 1: just go out there weekend warrior doing your lifting the

1794
01:43:35,320 --> 01:43:38,840
Speaker 1: weights and stuff and not do some stretching. And it's true,

1795
01:43:39,200 --> 01:43:42,320
Speaker 1: I don't stretch enough yoga. I always feel like I'm

1796
01:43:42,360 --> 01:43:44,360
Speaker 1: about to have a heart attacked everything. So that's probably

1797
01:43:44,360 --> 01:43:45,880
Speaker 1: not a I'm not sure that's the thing that I

1798
01:43:45,920 --> 01:43:48,920
Speaker 1: should really push too much, because it's just for me.

1799
01:43:49,040 --> 01:43:52,200
Speaker 1: For whatever reason, being still and quiet makes me feel

1800
01:43:52,240 --> 01:43:54,960
Speaker 1: more anxious. Maybe one of the reasons I love radio

1801
01:43:55,080 --> 01:43:57,920
Speaker 1: so much is that it's constant thought and action, and

1802
01:43:58,120 --> 01:44:00,400
Speaker 1: that you're talking and thinking and talking into thinking and

1803
01:44:00,960 --> 01:44:03,800
Speaker 1: it goes on for a while, unlike TV, which is

1804
01:44:03,840 --> 01:44:06,240
Speaker 1: like you're on talk for thirty seconds, you're done. It's

1805
01:44:06,240 --> 01:44:09,400
Speaker 1: a very different, very different approach. But yeah, I pulled

1806
01:44:09,479 --> 01:44:12,760
Speaker 1: something nasty in my neck, which is great because when

1807
01:44:12,760 --> 01:44:14,800
Speaker 1: I get home later, I'll just be like ms Molly,

1808
01:44:14,960 --> 01:44:17,040
Speaker 1: can I have a neck rob please? It should be

1809
01:44:17,080 --> 01:44:19,040
Speaker 1: like I I worked hard all day too, buddy, go

1810
01:44:19,760 --> 01:44:22,920
Speaker 1: you can go rub your own neck. So what was

1811
01:44:22,960 --> 01:44:26,080
Speaker 1: I gonna on the I didn't really get into this

1812
01:44:26,120 --> 01:44:29,280
Speaker 1: because it doesn't seem to be catching a lot of

1813
01:44:29,880 --> 01:44:33,040
Speaker 1: the attention in the headlines today. But on that dispute

1814
01:44:33,280 --> 01:44:38,439
Speaker 1: between law enforcement and the tech companies that I talked

1815
01:44:38,479 --> 01:44:42,880
Speaker 1: about on Fox Today this morning on America's Newsroom. Sanda

1816
01:44:42,960 --> 01:44:45,640
Speaker 1: Smith and Bill Hammer are two of the two of

1817
01:44:45,720 --> 01:44:48,960
Speaker 1: the greats, really great people in the news media business,

1818
01:44:49,040 --> 01:44:51,800
Speaker 1: by the way. But the debate's really interesting. It's one

1819
01:44:51,800 --> 01:44:56,760
Speaker 1: of the few places I find myself really going back

1820
01:44:56,840 --> 01:45:01,240
Speaker 1: and forth between, well, which side of this is, which

1821
01:45:01,280 --> 01:45:04,599
Speaker 1: side has the stronger argument? So here's the the summary

1822
01:45:04,760 --> 01:45:09,160
Speaker 1: version of it, and it's and this hopefully this isn't

1823
01:45:09,160 --> 01:45:11,920
Speaker 1: the leave talking because I took some of that earlier today.

1824
01:45:11,920 --> 01:45:13,760
Speaker 1: I know I'm winding a lot, I'm wanting a lot,

1825
01:45:13,840 --> 01:45:15,320
Speaker 1: But this is what happens. You come, you hang out

1826
01:45:15,320 --> 01:45:16,760
Speaker 1: with me and not and I'm gonna wind to all

1827
01:45:16,760 --> 01:45:22,360
Speaker 1: of you. Uh. The the the people who are worried

1828
01:45:22,400 --> 01:45:26,400
Speaker 1: about encryption on devices, right, they refer to this as

1829
01:45:26,439 --> 01:45:31,320
Speaker 1: the going dark quote going dark phenomenon and law enforcement FBI,

1830
01:45:31,600 --> 01:45:35,599
Speaker 1: current FBI Director Ray and and previous f FBI director

1831
01:45:36,400 --> 01:45:41,479
Speaker 1: Comey Boo. Uh. They say that they've had a few thousand.

1832
01:45:41,560 --> 01:45:43,640
Speaker 1: I forget the exact number, it's under ten thousand, but

1833
01:45:43,680 --> 01:45:47,280
Speaker 1: it's in the thousands of instances where law enforcement wanted

1834
01:45:47,360 --> 01:45:51,680
Speaker 1: access to a device of some kind that they just

1835
01:45:51,760 --> 01:45:55,840
Speaker 1: couldn't break the encryption on, and it brought there, it

1836
01:45:56,000 --> 01:46:00,880
Speaker 1: brought their um investigation to us and still, if not

1837
01:46:01,000 --> 01:46:04,120
Speaker 1: maybe to a total halt. So they're saying, look, we

1838
01:46:04,240 --> 01:46:06,800
Speaker 1: need a way that we can get into not just

1839
01:46:06,920 --> 01:46:10,160
Speaker 1: the device now, but also end to end encryption, because

1840
01:46:10,240 --> 01:46:13,360
Speaker 1: it's become very easy to download and get an app

1841
01:46:13,520 --> 01:46:15,760
Speaker 1: that encrypts your information, you send it to somebody else,

1842
01:46:15,840 --> 01:46:19,160
Speaker 1: it's encrypted on their device too. So I believe, and

1843
01:46:19,280 --> 01:46:21,559
Speaker 1: I'm not a I'm not a tech expert by any means,

1844
01:46:21,960 --> 01:46:24,839
Speaker 1: but I believe that that means that the the usual

1845
01:46:25,320 --> 01:46:29,519
Speaker 1: weak point of communication that law enforcement had an easy

1846
01:46:29,600 --> 01:46:34,160
Speaker 1: time exploiting for investigation purposes is that when you send

1847
01:46:34,320 --> 01:46:37,200
Speaker 1: something it can you know, they know where, they know

1848
01:46:37,360 --> 01:46:38,920
Speaker 1: where it went through, they know what time, they know

1849
01:46:39,000 --> 01:46:43,679
Speaker 1: what It was very very easy, right, But if it's

1850
01:46:43,800 --> 01:46:46,200
Speaker 1: encrypted and they can't break that encryption, now you got

1851
01:46:46,280 --> 01:46:48,639
Speaker 1: a real problem because it's not just oh, I can't

1852
01:46:48,680 --> 01:46:50,960
Speaker 1: get into someone's device to see their photos or see

1853
01:46:51,000 --> 01:46:53,519
Speaker 1: what they've stored on their device. It's people can now

1854
01:46:53,640 --> 01:46:58,040
Speaker 1: communicate without law enforcement necessarily be being able to get

1855
01:46:58,080 --> 01:47:01,200
Speaker 1: into Now big question then the question that I have,

1856
01:47:01,439 --> 01:47:03,280
Speaker 1: and I'm not sure we could ever really get answers

1857
01:47:03,320 --> 01:47:05,840
Speaker 1: to this. When they say that it brings them to

1858
01:47:06,280 --> 01:47:09,280
Speaker 1: a halter a standstill, do they mean they can't get

1859
01:47:09,360 --> 01:47:11,800
Speaker 1: in at all, the FBI can't get in at all,

1860
01:47:11,920 --> 01:47:15,800
Speaker 1: to the encryption or uh, you know, the device, or

1861
01:47:15,920 --> 01:47:18,240
Speaker 1: that it's hard, that it's annoying. I think that's a

1862
01:47:18,360 --> 01:47:22,920
Speaker 1: very important distinguishing characteristic. Uh, that's not something I'm sure

1863
01:47:22,960 --> 01:47:24,639
Speaker 1: the FBI is gonna tell us one way or the other.

1864
01:47:24,920 --> 01:47:27,439
Speaker 1: You remember in the San Bernardino case, from that horrible

1865
01:47:27,520 --> 01:47:30,840
Speaker 1: jeehottest terror attack in California, a whole bunch of people

1866
01:47:30,920 --> 01:47:35,200
Speaker 1: shot and killed at a holiday party by two jee

1867
01:47:35,200 --> 01:47:38,760
Speaker 1: hottest in this country. Uh, they couldn't get into the device,

1868
01:47:38,840 --> 01:47:41,080
Speaker 1: but then eventually, and they wanted to make Apple do it,

1869
01:47:41,240 --> 01:47:44,760
Speaker 1: then they found a way in any way. So that's

1870
01:47:45,360 --> 01:47:47,240
Speaker 1: that's an example I think of what we're gonna see here,

1871
01:47:47,280 --> 01:47:48,720
Speaker 1: which is that if they really want to get in,

1872
01:47:48,880 --> 01:47:51,160
Speaker 1: I believe law enforcement, the federal government's gonna find a

1873
01:47:51,200 --> 01:47:52,400
Speaker 1: way to get in, but they want to be able

1874
01:47:52,400 --> 01:47:55,559
Speaker 1: to get in easily. The other side of this, though,

1875
01:47:55,640 --> 01:47:57,639
Speaker 1: so that that's the going dark phenomenon, is that you're

1876
01:47:57,640 --> 01:48:02,720
Speaker 1: gonna have you know, child sex traffickers, terrorists, I mean,

1877
01:48:02,760 --> 01:48:05,719
Speaker 1: the worst of the worst of the worst being able

1878
01:48:05,800 --> 01:48:11,559
Speaker 1: to hide their information and hide their communications from law

1879
01:48:11,680 --> 01:48:13,400
Speaker 1: enforcement in a way that will make all of us.

1880
01:48:13,479 --> 01:48:15,639
Speaker 1: Let's say that's the case for the that's why going

1881
01:48:15,720 --> 01:48:18,600
Speaker 1: darkness is such a problem. The other side, you have

1882
01:48:18,680 --> 01:48:24,960
Speaker 1: the backdoor phenomenon, which is what Apple and uh Facebook

1883
01:48:25,080 --> 01:48:27,960
Speaker 1: and Amazon, all these all the different mega as well

1884
01:48:28,040 --> 01:48:32,240
Speaker 1: as some more boutique ones that specialize in encryption and

1885
01:48:32,360 --> 01:48:36,800
Speaker 1: in the creation of encryption apps and everything else. They're saying, Okay,

1886
01:48:36,880 --> 01:48:39,720
Speaker 1: so what you're what you're telling us federal government, is

1887
01:48:39,840 --> 01:48:44,839
Speaker 1: that our entire business model is premised along the lines

1888
01:48:45,080 --> 01:48:49,560
Speaker 1: of creating safe and secure information storage and transfer, and

1889
01:48:49,680 --> 01:48:53,519
Speaker 1: you want us to put purposefully put holes back doors

1890
01:48:53,880 --> 01:48:57,280
Speaker 1: into that technology. And they're like, look, there's no way

1891
01:48:57,439 --> 01:49:00,120
Speaker 1: that we can put because what they always say is

1892
01:49:00,360 --> 01:49:04,000
Speaker 1: it's not like uh Facebook or in the better cases

1893
01:49:04,040 --> 01:49:07,240
Speaker 1: Apple r because they're encryption is really really excellent. It's

1894
01:49:07,280 --> 01:49:10,160
Speaker 1: not like Apple saying, Oh, we could get into that

1895
01:49:10,280 --> 01:49:14,720
Speaker 1: guy's phone, but we won't. FBI sorry, Apple saying we

1896
01:49:14,880 --> 01:49:17,439
Speaker 1: can't do it because we build it so that we

1897
01:49:17,560 --> 01:49:21,640
Speaker 1: can't do it. It's almost like this is a locksmith,

1898
01:49:22,640 --> 01:49:26,320
Speaker 1: and the locksmith is saying, yeah, I don't keep keys.

1899
01:49:26,640 --> 01:49:28,160
Speaker 1: I make a key for somebody and to give them

1900
01:49:28,200 --> 01:49:30,439
Speaker 1: the key. I don't keep a set of their keys

1901
01:49:30,520 --> 01:49:32,720
Speaker 1: in case somebody else wants to get into their apartment. Later,

1902
01:49:33,040 --> 01:49:35,439
Speaker 1: the FBI is like, oh, no, locksmith, you have to

1903
01:49:35,520 --> 01:49:39,360
Speaker 1: make a master key for everything that we can get

1904
01:49:39,439 --> 01:49:41,840
Speaker 1: whenever we want. You know. I think when you put

1905
01:49:41,920 --> 01:49:44,639
Speaker 1: it in those terms that an analogy is pretty apt here.

1906
01:49:45,520 --> 01:49:50,600
Speaker 1: And not only is that creating a back door that

1907
01:49:50,680 --> 01:49:53,840
Speaker 1: the FBI or the federal government can use whenever it wants,

1908
01:49:54,680 --> 01:49:56,720
Speaker 1: you know. And there's a lot we start to seeing this,

1909
01:49:56,760 --> 01:49:59,360
Speaker 1: see this with a counterintelligence investigation with Trump and the

1910
01:49:59,560 --> 01:50:03,680
Speaker 1: Russia all that stuff. There's a lot of ways that

1911
01:50:03,960 --> 01:50:06,280
Speaker 1: your Fourth Amendment rights can be abused, and the federal

1912
01:50:06,360 --> 01:50:08,720
Speaker 1: government has not been good about this really in the

1913
01:50:08,840 --> 01:50:12,960
Speaker 1: post nine eleven Patriot Act era. There there's been some abuse,

1914
01:50:13,000 --> 01:50:16,680
Speaker 1: there's been some problems, but even beyond that, it's like

1915
01:50:17,439 --> 01:50:20,479
Speaker 1: creating a weak spot and security system that can be

1916
01:50:20,520 --> 01:50:24,280
Speaker 1: exploited by anybody else. So not only is the FBI

1917
01:50:24,479 --> 01:50:26,840
Speaker 1: telling Apple, oh, we need you to be able to

1918
01:50:26,880 --> 01:50:28,519
Speaker 1: get into this when we tell you with a court

1919
01:50:28,640 --> 01:50:31,639
Speaker 1: order two, but it means that somebody else, some third

1920
01:50:31,680 --> 01:50:35,400
Speaker 1: party I don't know, Russian or North Korean hackers, they

1921
01:50:35,479 --> 01:50:38,400
Speaker 1: can look for that weakness and exploit it and they

1922
01:50:38,439 --> 01:50:40,559
Speaker 1: can get into your stuff and erase all your data

1923
01:50:40,920 --> 01:50:44,920
Speaker 1: or steal all your funds. Because the FBI wants a

1924
01:50:45,240 --> 01:50:49,480
Speaker 1: you know, wants an easier time getting into a few thousands,

1925
01:50:50,280 --> 01:50:53,600
Speaker 1: you know, a few thousand phones over there. It's a

1926
01:50:53,800 --> 01:50:55,960
Speaker 1: this is a tough call. I really I view it

1927
01:50:56,040 --> 01:50:57,680
Speaker 1: as a as a tough call. I don't see an

1928
01:50:57,720 --> 01:51:02,840
Speaker 1: easy answer here. So that's uh. That was from this

1929
01:51:02,960 --> 01:51:04,800
Speaker 1: morning on Fox. In case you missed it, I should

1930
01:51:04,840 --> 01:51:06,840
Speaker 1: have probably gotten a copy of the clip to put

1931
01:51:06,920 --> 01:51:11,360
Speaker 1: up on Facebook. By the way, the Shields High podcast

1932
01:51:11,520 --> 01:51:13,960
Speaker 1: is doing very well. It's getting the folks over here

1933
01:51:14,640 --> 01:51:17,960
Speaker 1: at the Freedom Hunt and uh at at Premiere Radio,

1934
01:51:18,080 --> 01:51:20,439
Speaker 1: which is my syndicator, which is the company I work for,

1935
01:51:20,560 --> 01:51:23,679
Speaker 1: here at iHeart Media, getting them very excited about things.

1936
01:51:23,840 --> 01:51:26,640
Speaker 1: And it's all because of you, um so, thank you

1937
01:51:26,760 --> 01:51:29,080
Speaker 1: so much for downloading and also spreading the word, but

1938
01:51:29,200 --> 01:51:32,160
Speaker 1: please continue to do so. It is very time intensive

1939
01:51:32,200 --> 01:51:35,920
Speaker 1: and resource intensive. Every single download of that show counts.

1940
01:51:36,000 --> 01:51:39,599
Speaker 1: If if each person listening to this live broadcast right

1941
01:51:39,680 --> 01:51:45,000
Speaker 1: now took uh twenty seconds to just share a it's

1942
01:51:45,000 --> 01:51:47,400
Speaker 1: a history podcast, as you know, I'm not. It's not

1943
01:51:47,560 --> 01:51:49,720
Speaker 1: our history blah blah blah. You know Trump rush lah

1944
01:51:49,720 --> 01:51:52,240
Speaker 1: blah blah blah. No, it's a history podcast. If each

1945
01:51:52,320 --> 01:51:57,280
Speaker 1: person listening though sent that link from iTunes or shared

1946
01:51:57,360 --> 01:52:00,599
Speaker 1: it on their Facebook page, uh Air of the Shields

1947
01:52:00,640 --> 01:52:05,240
Speaker 1: High Podcast, we'd be among the biggest history podcasts out

1948
01:52:05,280 --> 01:52:08,400
Speaker 1: there by tomorrow if everybody listening to that. And we're

1949
01:52:08,400 --> 01:52:10,519
Speaker 1: already doing very well, and I just want to say

1950
01:52:10,840 --> 01:52:13,559
Speaker 1: thank you for that, but please continue to download, listen

1951
01:52:13,800 --> 01:52:17,560
Speaker 1: new episode coming out Monday, this coming Monday, and the

1952
01:52:17,640 --> 01:52:19,920
Speaker 1: following Monday. We're looking I'm shooting to do at least

1953
01:52:21,000 --> 01:52:24,679
Speaker 1: one full season of Mondays of the Shields Hie podcast.

1954
01:52:24,760 --> 01:52:26,600
Speaker 1: It's gonna be a whole bunch of episodes, but I

1955
01:52:26,680 --> 01:52:28,200
Speaker 1: need you to keep pushing it for me, team, so

1956
01:52:28,280 --> 01:52:30,840
Speaker 1: thank you for that. Uh do check out all of

1957
01:52:30,920 --> 01:52:33,920
Speaker 1: our lateist by following at Facebook, dot com, slash Bucks,

1958
01:52:34,000 --> 01:52:38,320
Speaker 1: Sexton and Tomorrow already got a fun show plan for you,

1959
01:52:38,400 --> 01:52:40,919
Speaker 1: so be sure to join me for that. As always,

1960
01:52:41,800 --> 01:52:43,679
Speaker 1: no matter what shields high