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

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

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

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Speaker 1: satisfied with her, Trump is not any president of the

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Speaker 1: United States. Take it to a bank. Together. We will

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

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Speaker 1: been waiting for all day. Buck Sexton with America now

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Speaker 1: joined the conversation called Buck toll free at eight four

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

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Speaker 1: to eight to five. Sharp mind, strong voice, Buck Sexton,

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Speaker 1: Team Buck, Welcome to the Freedom Hut. We are two

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Speaker 1: hundred days in with the Trump administration. Donald himself took

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Speaker 1: too well. He as he is known to do, went

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Speaker 1: on Twitter and had some of the following to share

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Speaker 1: the Trump base. This is from earlier today. In fact,

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Speaker 1: it from this morning. The Trump base is far bigger

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Speaker 1: and stronger than ever before. Despite some phony fake news

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Speaker 1: polling look at rallies in Pennsylvania, Iowa, Ohio, and West Virginia.

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Speaker 1: The fact is the fake news Russian collusion story, record,

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Speaker 1: stock market, border security, military strength, job, Supreme Court pick,

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Speaker 1: economic enthusiasm, deregulation and so much more have driven the

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Speaker 1: Trump base even closer together. We will never oh where

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Speaker 1: will never change? Uh. And then he goes on writes

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Speaker 1: that hard hard to believe, hard to believe that with

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Speaker 1: the seven fake news on CNN, ABC, NBC, CBS, New

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Speaker 1: York Times, in Washington Post, that Trump base is getting stronger.

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Speaker 1: And then he goes son and gets into a bit

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Speaker 1: of a few with Richard Blumenthal, the UH senator from Connecticut. Well,

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Speaker 1: we'll get into that in just a moment here. So

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Speaker 1: here's what's going on. Everyone's taking a little bit of

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Speaker 1: a step back and to think about what's been happening

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Speaker 1: with this Trump administration so far. Because Trump is on

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Speaker 1: vacation for a little while now doesn't mean he's not

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Speaker 1: on the Twitter, of course, but he's on vacation, and

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Speaker 1: you have Congress also on vacation, so they may be

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Speaker 1: facing their angry constituents back home in some town halls.

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Speaker 1: I'm sure that will be a combination of legitimately outraged

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Speaker 1: and annoyed constituents and of course the astro turf community

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Speaker 1: organizer activists who show up at these town halls and

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Speaker 1: try to for of course, Republicans try to make things

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Speaker 1: look worse than they are and create a viral moment

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Speaker 1: on video that they'll even sometimes have their their kids

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Speaker 1: asked the questions that are meant to trip up the congressman.

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Speaker 1: I'm just like, who who does that? Anyway? Uh So

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Speaker 1: we we can take a moment out two days in

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Speaker 1: with the Congress and the President on break. It's August. So,

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Speaker 1: by the way, you'll notice this to a lot of journalists,

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Speaker 1: We'll be taking off particularly last two weeks of August,

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Speaker 1: and so things will slow down a bit, right, The

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Speaker 1: news cycle will seem less urgent, and they'll be more

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Speaker 1: uh puff pieces out there. There'll be more stuff. You're like,

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Speaker 1: what is this? What am I been reading? Things that

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Speaker 1: come off the shelf, re ups from previous pieces. Because

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Speaker 1: news is, as I always say to you, a narrative.

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Speaker 1: It's a construct. And that's why the whole, the whole

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Speaker 1: idea of an entirely unbiased news organization or a news

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Speaker 1: organization that has no political proclivities one way or the other,

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Speaker 1: it's just nonsensical. I mean, it doesn't It doesn't make

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Speaker 1: any sense when you look at how the choices are

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Speaker 1: being made all the time. Anyway, So journalists will be

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Speaker 1: they'll be out August, things will slow dout. It will

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Speaker 1: be fun for us because we'll get a chance to

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Speaker 1: just dive into subject matter that I think we'll be

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Speaker 1: interesting to talk about here. And maybe we'll do some

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Speaker 1: more history deep dives. And I know some of you

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Speaker 1: liked and and enjoyed, uh can ah, that was something

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Speaker 1: that you had fun um listening to. So the Battle

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Speaker 1: of Cana of Hannibal squaring off against a couple of

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Speaker 1: Roman consoles not quite up to the task. So I'm

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Speaker 1: hoping to do more of that, and we'll have more

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Speaker 1: time for it later on in the month. But two

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Speaker 1: hund days in, you got the Trump administration right now

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Speaker 1: looking back at what's happened, and of course trying to

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Speaker 1: create the uh, trying to create this sense going into

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Speaker 1: the fall that things are pretty good. And and here's

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Speaker 1: what I would say. You know, I had a conversation

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Speaker 1: earlier today with a friend of mine, another another conservative

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Speaker 1: in media, and he takes the position he's I'm not

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Speaker 1: a never Trumper, but he's a not not so into Trumper, right,

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Speaker 1: He's kind gonna he's willing to go along a little bit.

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Speaker 1: Although I think he actually now that I now that

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Speaker 1: I recall, I think he voted for Hillary, which I

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Speaker 1: just I just don't understand. Oh, I understand, it's amazing

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Speaker 1: you should always vote for Hillary. But I don't understand

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Speaker 1: how anybody would would be able to do that and

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Speaker 1: be a conservative. But look, it was a crazy time,

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Speaker 1: you know, too, was a crazy It's a crazy year everybody.

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Speaker 1: You know, things happen, things were done. But we were

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Speaker 1: talking and he was focusing in on you know, Buck,

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Speaker 1: don't you feel like this this administration, there's all there's

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Speaker 1: the nepotism with the kids in the White House, and

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Speaker 1: I'm like, yeah, I get it. I'm not I am

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Speaker 1: not a fan of that, you know, the tone of

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Speaker 1: the White House and all the shakeups and everything. I said, Look, okay,

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Speaker 1: but you got to understand, there's there's two other. There's

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Speaker 1: two other very important. If you're gonna do the whole

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Speaker 1: step back and and look at what's what matters here? Right?

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Speaker 1: What matters you? What matters to me? Do I care

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Speaker 1: other than for the purposes of comedy and having some

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Speaker 1: fun here in the freedom. Do I care that the mooch,

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Speaker 1: you know, showed up in DC was like, hey, everybody, Hey,

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Speaker 1: I'm the mooch. And then everyone's like, the mooch, you

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Speaker 1: gotta go. And he's like, oh, the mooch has gotta go.

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Speaker 1: But do do I care? That? That? Not doesn't affect me?

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Speaker 1: It doesn't affect you. That the media hates Trump so

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Speaker 1: much and that they think that he's undermining them and

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Speaker 1: is rude to them and dismissive and throws around the

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Speaker 1: fake news label? Does that affect you? Mean? No, it

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Speaker 1: really doesn't if you judge this administration. I mean, if

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Speaker 1: you judge this president and and his White House on

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Speaker 1: what has been implemented. Forget about the style, I mean

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Speaker 1: the substance, on what has happened starting in January. And

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Speaker 1: even some of myne my my never Trump or peeps

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Speaker 1: out there, I think are willing to concede this to

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Speaker 1: one degree or another, not not necessarily entirely, but to

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Speaker 1: one agree or another. We're two hundred days in so

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Speaker 1: and and Trump's tweeting out, tweeting up a storm about this,

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Speaker 1: and people are wondering, you know, what, what can we

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Speaker 1: make of it? All? Um? If you look at it

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Speaker 1: on the substance and not the style, there's been and

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Speaker 1: Trump gave some of it in his in his Twitter tirade. Um,

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Speaker 1: there's been a lot of good stuff. There have been

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Speaker 1: a whole bunch of things, A whole bunch of things

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Speaker 1: have happened under this presidency that I think even conservatives

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Speaker 1: who were really skeptical of the president have to send

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Speaker 1: up and say, Okay, that was good first when it

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Speaker 1: comes to mind, because I don't know, I've yet to

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Speaker 1: hear a single conservative who disagrees Neil Gorstitch in the

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Speaker 1: Supreme Court, and that's a big win. Whoever Hillary was

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Speaker 1: gonna put on there, by the way, it was gonna

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Speaker 1: make uh, Merrick Garland look like a cross between you know,

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Speaker 1: Anton and Scalia and you know Milton Friedman or something.

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Speaker 1: I mean, it was gonna it was gonna be. There

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Speaker 1: was no way that whoever Hillary ended up, it wasn't

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Speaker 1: gonna be Merrick Garland. By the way. That was the

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Speaker 1: offering that the Democrats made when they didn't have control

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Speaker 1: of the Senate and they weren't sure which way things

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Speaker 1: we're gonna go. I don't think they were gonna put

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Speaker 1: him up. And even if they did, he would have

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Speaker 1: probably been a reliable Democrat vote on the Supreme Court anyway. Well,

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Speaker 1: I know we're not supposed to say that, right, Supreme

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Speaker 1: Court's not partisan. Please, we're we're at the big boys

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Speaker 1: and big girls table here we can say these things

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Speaker 1: to each other. Supreme Court is a political instrument, largely

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Speaker 1: masquerade now unfortunately as a as an impartial judicial branch.

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Speaker 1: I know, right makes me sad too, but it's true.

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Speaker 1: Gorcitch is through. Okay, that that's big. The regulatory agencies

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Speaker 1: and the passage of Keystone Excel and and other pipelines. Uh,

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Speaker 1: those are all wins for business, wins for the American people,

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Speaker 1: and just wins for sanity and reason, and uh, that's

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Speaker 1: all very good stuff. And the administration has been at

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Speaker 1: selling on it. And you know, I think you've got

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Speaker 1: some people that in the administration that don't get a

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Speaker 1: lot of press or attention. But you've got Zinky Secretary

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Speaker 1: and Interior doing a great job. You know, Secretary Zincy

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Speaker 1: is doing a great job. A lot of people that

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Speaker 1: are really conducting themselves very honorably as public servants and

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Speaker 1: doing a lot of good for the country. The economy is,

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Speaker 1: by all the metrics that we can use, at least

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Speaker 1: incredibly strong right now, right, I mean the economy. You've

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Speaker 1: got the stock market at all time high, doubt, all

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Speaker 1: time high, four point one percent unemployment, good jobs numbers recently,

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Speaker 1: and there's there's optimism. People think things will get better.

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Speaker 1: And optimism matters. It matters for hiring, it matters for expansion,

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Speaker 1: for entrepreneurs, for investment. These are all largely confidence measures.

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Speaker 1: I mean you talked to salty old old dogs on

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Speaker 1: Wall Street about what what the governing factors are in

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Speaker 1: the markets, which of course have tremendous impact on from

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Speaker 1: Wall Street to Main Street. That the jump is smaller

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Speaker 1: and smaller all the time. You know, our four oh

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Speaker 1: one case are all tied up in the performance of

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Speaker 1: uh Wall Street, Our pension plans are tied up in

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Speaker 1: Wall Street performance, our home values. I mean, you know

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Speaker 1: you just got the food you're buying, I mean everything right,

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Speaker 1: so you're not you can't live a life that's separate

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Speaker 1: from the market in this country. But by by every

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Speaker 1: objective measure we can see so far, the Trump administration

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Speaker 1: has been positive and and that's really meaningful. I think

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Speaker 1: it's because people feel like things get better and back

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Speaker 1: to the salt deal dogs on Wall Street, it's it's

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Speaker 1: just they say, I mean, this is a very cynical

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Speaker 1: way of viewing it. But people make decisions based on

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Speaker 1: fear and greed when it comes to the markets. You know,

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Speaker 1: they they'll get into it and they'll risk money when

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Speaker 1: they think they're gonna make money, and when they get scared,

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Speaker 1: they pull their money. Well that's perception. I mean, yeah,

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Speaker 1: their numbers attached to it. But a lot of this

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Speaker 1: is perception driven, just like a lot of politics is

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Speaker 1: perception driven. So why polling is always such a nasty

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Speaker 1: fight between different people. So and and that's another place

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Speaker 1: I should note where there are there's this constant back

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Speaker 1: and forth. Well, what's Trump's approval rating? Is he is

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Speaker 1: he getting the numbers that other presidents have in the past.

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Speaker 1: But once again, you look at what's been done by

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Speaker 1: the White House, and I think you've got to say,

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Speaker 1: so far, it's it's been pretty Even if you don't

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Speaker 1: like the drain the swamp maga, Trump wears the hats

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Speaker 1: and you know, does things his way and smacks around

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Speaker 1: the media. And I know a lot of you're like,

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Speaker 1: I love that stuff, and you know, I like a

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Speaker 1: lot of it too. But even if you don't like

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Speaker 1: any of that. You look at the record so far

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Speaker 1: and it is pretty positive. But that then brings me to, well,

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Speaker 1: where's the where's the sour part of this story? Well?

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Speaker 1: What's gonna give you and me a little bit of

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Speaker 1: of a sadness here? And I've got to say that

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Speaker 1: Congress has been a Republican led Congress has been very disappointing. Now,

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Speaker 1: can we say it's surprising that they, at least in

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Speaker 1: some cases turned out to just be out and outlaw politicians. Lie.

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Speaker 1: Is it disappointing that we don't have a healthcare bill?

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Speaker 1: Is it disappointing that we don't yet have an immigration bill?

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Speaker 1: You know, I give the I give the Trump team

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Speaker 1: credit for shifting the conversation about immigration to a skill based,

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Speaker 1: point based system instead of a chain migration dominant system.

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Speaker 1: But they still have to pass legislation and we're not

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Speaker 1: there yet now that they still need to actually get

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Speaker 1: this stuff over the goal line, and that's going to

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Speaker 1: require a Congressional action here. And what we're gonna see

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Speaker 1: is the Republican Party has a lot of fakers, a

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Speaker 1: lot of pe a lot of phonies bouncing around the

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Speaker 1: Republican Party and it depends on the issue, you know.

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Speaker 1: I gotta say, you know, Paul Ryan really good on

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Speaker 1: talking about long term budget projections and tackling the debt

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Speaker 1: and deficit, and he's a want and a budget nerd,

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Speaker 1: and you know p ninet X and doing the bicep

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Speaker 1: curls and all that stuff. The moment that you get

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Speaker 1: him on immigration, and though you're like, whoa who lets

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Speaker 1: like the Cato Institute in here, this is crazy. This

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Speaker 1: guy is practically open borders. I mean, I like Kato,

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Speaker 1: but you know some of their guys that go out

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Speaker 1: there just like, yeah, the more, the more, the merrier,

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Speaker 1: I mean, just taking everybody from all over the world,

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Speaker 1: nothing bad can ever happen. I'm like, well, you know

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Speaker 1: that's cause and effect just indicates that you're gonna create

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Speaker 1: some problems if you have a completely unrestricted immigration system,

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Speaker 1: not not Now. Some of those libertarians, man, they're just like,

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Speaker 1: it'll it'll improve or increase economic economic output. I'm like, well, yes,

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Speaker 1: and and if you put a lot of people into

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Speaker 1: one room, you will increase the matter and density in

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Speaker 1: the room. But that does not necessarily serve all the

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Speaker 1: purposes you want at the time, right, I mean, that's

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Speaker 1: just to say there's more people doing stuff doesn't necessarily

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Speaker 1: mean that it's good, especially if they're a net drain

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Speaker 1: on the economy when you add in benefits and other things.

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Speaker 1: But but I digress. We'll get into the immigration discussion

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Speaker 1: a bit later in the show. I've got a few

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Speaker 1: things I want to talk to you about, uh, and

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Speaker 1: that's thirteen. A little bit of a background er on that.

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Speaker 1: We'll get into some the background of m S. Thirteen,

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Speaker 1: which I find very interesting. And I also want to

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Speaker 1: do some discussions here on the show, probably later on,

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Speaker 1: maybe later this month. Actually, we talked so much about

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Speaker 1: the opioid epidemic and heroin. I want to talk about

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Speaker 1: the cartels, and the cartels switching over from at some

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Speaker 1: level from marijuana trafficking. They still do that, of course,

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Speaker 1: but heroin has become a much larger part of their

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Speaker 1: drug portfolio, so to speak. So we'll get into that also. Uh,

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Speaker 1: diversity has just gone gone completely mad at some of

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Speaker 1: these campuses, and where now you have all these demands

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Speaker 1: being made. Oh and this memo that has just been

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Speaker 1: rocking the Silicon Valley world, a memo of of some

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Speaker 1: engineer from within Google, which I know some people work

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Speaker 1: for Google and Google is it is very leftist and

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Speaker 1: it's and it's uh tendencies, and it's governing, well not governing,

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Speaker 1: but it's internal corporate philosophies and idea pologies. Google, Man,

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Speaker 1: is is really you do not want to be walking

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Speaker 1: around They're like, um, is transgender rights really the new

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Speaker 1: civil rights movement? They'd be like, get out of here.

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Speaker 1: They do not want to hear that. But somebody at

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Speaker 1: Google question their diversity policies and a ten page memo

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Speaker 1: based on the differences between men and women male female

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Speaker 1: gender binary discussion here and man, I mean the patriarchy

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Speaker 1: is for some at least patriarchy and full effect here.

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Speaker 1: I mean this guy was man explaining and man spreading

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Speaker 1: in this ten pages. He spread out his analysis over

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Speaker 1: ten pages. Yeah, so I'll get into that because I

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Speaker 1: think that is fascinating. But the response to of course,

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Speaker 1: is the progressive media organism or the progressive internet companies Google, Facebook,

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Speaker 1: I mean, they're all just circling the wagons as horrible.

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Speaker 1: It's a anti diversity screed and just even the fact

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Speaker 1: that that they think of of the fact that women

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Speaker 1: are covered in diversity hiring at any company whatsoever. Is

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Speaker 1: an interesting phenomenon, isn't it. So we'll talk about the

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Speaker 1: the arguments. He makes the details there and and we've

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Speaker 1: got updates on the League investigation. Some interesting stuff come

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Speaker 1: up about Loretta Lynch's email use when she was Attorney General,

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Speaker 1: and just all on all my friends, very very full show.

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Speaker 1: A lot. The glass is more than half full on

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Speaker 1: this show. This is like a full to the brim.

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Speaker 1: You might want to take a sip so that you

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Speaker 1: can add some almond milk or perhaps Stevia if you

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Speaker 1: like the more trendy plant based sweeteners. I would expect

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Speaker 1: there'll be a lot of scary headlines about North Korea

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Speaker 1: in the weeks ahead. Not the North Korea isn't scary,

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Speaker 1: it's terrifying. And not that that problem isn't getting worse,

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Speaker 1: it is getting markedly worse. But I wonder how much

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Speaker 1: news value is there in the continued repetition of Kim

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Speaker 1: Jong uns State News Agency saying that you know they

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Speaker 1: will respond with the force of a thousand angry you

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Speaker 1: know sons or what you know, They'll they'll nucas and

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Speaker 1: they'll nuke everybody. And this is this is something we're

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Speaker 1: all aware of. At this point. I do think we

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Speaker 1: are in the in the beginning phases of the realization

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Speaker 1: that we are heading for a showdown with North Korea

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Speaker 1: over its nuclear program. This this is not going to

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Speaker 1: end with UM, everything looking all great. That much that

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Speaker 1: I think is a safe prediction. Beyond that, who knows.

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Speaker 1: But yeah, I see a lot, a lot of North

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Speaker 1: Korea stuff right now. Maybe we'll talk about it tomorrow

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Speaker 1: just to see if there's any new policy here or

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Speaker 1: new thinking on the issue. But for now, I just

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Speaker 1: think that you know, you know, North Korea is trying

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Speaker 1: to get nukes, trying to get I c b m

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Speaker 1: s to put on the nukes. I'm sorry to put

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Speaker 1: on the I c b ut nukes, but on the

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Speaker 1: I C b ms. You know what I'm saying. Um.

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Speaker 1: And that's continuing on Terry in Ohio. What's going on, Terry? Yes,

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Speaker 1: talking to your call screener. Long story, real short. If

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Speaker 1: President Trump wants to get his agenda pass Congress, literally,

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Speaker 1: I think he's gonna go on national TV each time

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Speaker 1: as a major piece of legislation called the American People Arms,

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Speaker 1: tell him to call a congressman that might get the

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Speaker 1: job done. Yeah, he might be able to mobilize people

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Speaker 1: through his own will look through his Twitter account and

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Speaker 1: his pronouncements to the to the public, because he does

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Speaker 1: have uh you know, he does have a direct connection

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Speaker 1: into the public with because you know, once he tweets

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Speaker 1: it's not you don't have to be on Twitter, then

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Speaker 1: all the news organizations covered. Right. So if he says

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Speaker 1: call your congressman, or if he says mobile mobilize, uh,

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Speaker 1: you know, to feel like Arnold's army the golfer. If

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Speaker 1: you get people their attention on national TV, I guess

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Speaker 1: it almost puts it. It's almost a scare threat sort

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Speaker 1: of thing, and it's not gonna happen unless you start calling.

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Speaker 1: So that's great. I will see Terry. Thanks man. She'ld sigh. Yeah,

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Speaker 1: I was gonna say, if Trump puts out the call

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Speaker 1: like the bat signal or we're for those of you

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Speaker 1: who or from my generation, ThunderCats Unite, you know, Republicans,

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Speaker 1: call your congressman. Remember that show ThunderCats Good Times. Politicizing

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Speaker 1: the Department of Justice for personal ends, I think is

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Speaker 1: a disservice to the law, and it's also potentially a

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Speaker 1: violation of the spirit of the first man. Remember what

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Speaker 1: we know about the Trump administration so far has been

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Speaker 1: the result of very good reporting. I believe when the

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Speaker 1: history of this era is written, the heroes will be

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Speaker 1: the free press and the independent judiciary who have upheld

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Speaker 1: the rule of law against threats by the Trump administration.

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Speaker 1: There you there, you have Senator Richard Blumenthal of Connecticut.

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Speaker 1: And Trump really does not like this guy, from what

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Speaker 1: we can see on his Twitter account, he writes, Um,

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Speaker 1: I think Senator Blumenthal should take a nice long vacation

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Speaker 1: in Vietnam where he lied about his service, so he

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Speaker 1: can at least say he was there as a total aside.

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Speaker 1: By the way, I've actually been to Vietnam. It is

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Speaker 1: a lovely country. I really like it, um. I mean,

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Speaker 1: I went a few years ago, but I'm a big

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Speaker 1: fan of Vietnamese food. But I digress. That's a big digression.

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Speaker 1: I know. Vietnam is pretty cool though anyway. But they're

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Speaker 1: obviously talking about service in Vietnam here and the problem

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Speaker 1: that Richard Blumenthal had with the truth when it came

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Speaker 1: to that issue. Let's just do a little refresher course

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Speaker 1: on that, shall we We have learned something very important

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Speaker 1: since the days that I served in Vietnam, and you exemplify.

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Speaker 1: Serving in the United States military gave me a perspective

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Speaker 1: as well, even in the reserves, although I did not

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Speaker 1: serve in Vietnam. So he seems confused about that whole

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Speaker 1: serving in Vietnam. Not having served in Vietnam. I can

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Speaker 1: tell you from spending a little time in a couple

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Speaker 1: of war zones myself, uh, serving the country, and the

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Speaker 1: cop asked me that I could uh not something you forget.

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Speaker 1: You know, I have no illusions, right, I've I've never served.

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Speaker 1: I've never served in a Vietnamese or in a Vietnam

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Speaker 1: in a war zone capacity. So I don't think that's

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Speaker 1: a mistake that one would make. Obviously, the guy was

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Speaker 1: trying to trump up his record and he was lying

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Speaker 1: about things. Uh. And but Trump really does not seem

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Speaker 1: to like this guy. You'll notice that he'll get a

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Speaker 1: lot of play on the media, and he's just out there.

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Speaker 1: You know, he'll be on a bunch of shows, I'm

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Speaker 1: sure tonight if he hasn't already. But Blumenthal is making

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Speaker 1: these statements about the press and how the press is

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Speaker 1: and all this great stuff, and what exactly has the

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Speaker 1: press done that, well, what have they told us about

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Speaker 1: this administration that we really needed to know? I think

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Speaker 1: it's fair to ask the question and really think about this.

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Speaker 1: So what what do we need to know? We needed

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Speaker 1: to know that Michael Flynn didn't tell the truth to

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Speaker 1: Vice President pats about a conversation he had that he

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Speaker 1: was allowed to have of where nothing bad happened. Okay,

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Speaker 1: we need what is it that we've found out about

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Speaker 1: this administration that we really we really should be thankful

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Speaker 1: to the press for I don't see you know, they

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Speaker 1: haven't uncovered any isn't amazing people want to pat the

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Speaker 1: media on the back already. They haven't uncovered any wrongdoing.

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Speaker 1: They have not established that there was anything criminal that happened,

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Speaker 1: or even anything that was unethical in a way that

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Speaker 1: you know, we all would be upset with. I mean,

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Speaker 1: they think everything Trump says and does is unethical. But yeah,

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Speaker 1: Bloomenthal is just part of this Democrat apparatus that is

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Speaker 1: pro pressed because the press is anti Trump and everyone

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Speaker 1: sees this and this is why, Well, one, we know

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Speaker 1: that we don't need a lecture from the press on

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Speaker 1: how they're unbiased and how you know we can trust

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Speaker 1: them to speak the truth and everything, but also for

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Speaker 1: a whole bunch of reasons, we should stop listening to

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Speaker 1: this analysis that the talking heads do and the Democrats

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Speaker 1: do from the Senate in the House, that they'll put

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Speaker 1: on these different cable channels where they say, oh, you know,

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Speaker 1: well Trump shouldn't do this or he shouldn't do that,

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Speaker 1: and he's such a bad guy for and it's like, well,

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Speaker 1: those things haven't even happened yet, he hasn't done them,

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Speaker 1: he hasn't prosecuted or any journalists. In fact, you had

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Speaker 1: h gaprity Attorney General rosen Stein going on the Sunday

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Speaker 1: shows to say the following, we're after the leakers, not

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Speaker 1: the journalists. Were after people who are committing crimes, and

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Speaker 1: so we're going to devote the resources we need to

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Speaker 1: identify who is responsible for those leaks and who has

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Speaker 1: violated the law and hold them accountable. That we don't

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Speaker 1: prosecute journalists for doing their jobs. We look at the

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Speaker 1: facts and circumstances of each case and we determine whether

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Speaker 1: somebody has committed a crime and whether it's appropriate to

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Speaker 1: hold them accountable. For you don't consider the publishing of

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Speaker 1: classified information as a crime, well, Chris I don't think

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Speaker 1: you can draw any general line like that. That depends

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Speaker 1: upon the facts and circumstances. Generally speak, reporters who publish

426
00:24:01,160 --> 00:24:03,560
Speaker 1: information are not committing a crime, but there might be

427
00:24:03,600 --> 00:24:06,240
Speaker 1: a circumstance where they do. Uh. You know, I haven't

428
00:24:06,280 --> 00:24:08,120
Speaker 1: seen any of those to date, but I wouldn't rule

429
00:24:08,160 --> 00:24:09,959
Speaker 1: it out in the in the event that there were

430
00:24:10,000 --> 00:24:13,040
Speaker 1: a case where a reporter was purposely violating the law,

431
00:24:13,119 --> 00:24:15,160
Speaker 1: then they might be a suspect as well. But that's

432
00:24:15,200 --> 00:24:18,160
Speaker 1: not our goal here. Our goal is to prevent the leaks. Now,

433
00:24:18,880 --> 00:24:20,880
Speaker 1: the goal is the bent leaks. Okay, fine, they're gonna

434
00:24:20,880 --> 00:24:23,439
Speaker 1: go after the government people. They always do that. I

435
00:24:23,520 --> 00:24:26,480
Speaker 1: know I'm kind of a heretic on this, but why

436
00:24:26,520 --> 00:24:30,200
Speaker 1: do we all have to pretend that journalists have an

437
00:24:30,680 --> 00:24:35,400
Speaker 1: inviolable or or you know, an unending right. And there

438
00:24:35,400 --> 00:24:37,360
Speaker 1: he did give a little wiggle remo motives. He's like, well,

439
00:24:37,400 --> 00:24:40,520
Speaker 1: there could be a circumtance to just publish anything, no

440
00:24:40,520 --> 00:24:42,760
Speaker 1: matter how damaging it is to the United States. And

441
00:24:42,800 --> 00:24:46,280
Speaker 1: they know, these journalists know when when they're publishing some

442
00:24:46,320 --> 00:24:48,480
Speaker 1: of this stuff that it's gonna harm the country. But

443
00:24:48,560 --> 00:24:51,399
Speaker 1: if it harms Trump, they'll do it anyway, why are

444
00:24:51,440 --> 00:24:55,240
Speaker 1: they why do they get a special exemption from the law.

445
00:24:55,280 --> 00:24:57,600
Speaker 1: The law says that you know, you are not to

446
00:24:57,640 --> 00:25:01,400
Speaker 1: transmit information that is, you know, useful to an enemy

447
00:25:01,480 --> 00:25:04,320
Speaker 1: that would be harmful to national defense. And now I

448
00:25:04,320 --> 00:25:06,760
Speaker 1: think that should be a very high bar. I and

449
00:25:06,840 --> 00:25:08,360
Speaker 1: I and I think it should be a very high bar.

450
00:25:08,400 --> 00:25:10,119
Speaker 1: By the way, across the board, I think that some

451
00:25:10,200 --> 00:25:13,400
Speaker 1: of the stuff, some of the uh you know, low

452
00:25:13,520 --> 00:25:17,760
Speaker 1: level um you know, mickey mouse kind of prosecutions that

453
00:25:17,800 --> 00:25:20,639
Speaker 1: they've brought in the past for leagues, I'm like, come on,

454
00:25:21,960 --> 00:25:25,760
Speaker 1: but I disagree with this notion that And of course,

455
00:25:25,800 --> 00:25:28,520
Speaker 1: because we all rely on journalists to explain, not all

456
00:25:28,560 --> 00:25:31,240
Speaker 1: of us, but people rely on journalists to give them

457
00:25:31,240 --> 00:25:34,200
Speaker 1: their sense of you know, what is what journalists job

458
00:25:34,240 --> 00:25:37,080
Speaker 1: should be, right, the journalists the ones who are explaining it. Uh,

459
00:25:37,080 --> 00:25:39,240
Speaker 1: it's at a minimum, let's just say this. It is

460
00:25:39,280 --> 00:25:42,639
Speaker 1: really unethical to do what the Post and the Times

461
00:25:42,640 --> 00:25:45,840
Speaker 1: have done in countless cases to publish information that they

462
00:25:46,240 --> 00:25:48,879
Speaker 1: know or they have, you know, they they believe to

463
00:25:49,000 --> 00:25:52,919
Speaker 1: be at a minimum classified in damaging to national security.

464
00:25:53,359 --> 00:25:57,040
Speaker 1: Um there there, it's unethical. I don't know why we

465
00:25:57,119 --> 00:26:00,880
Speaker 1: give this uh you know it out of jail free car.

466
00:26:01,000 --> 00:26:03,200
Speaker 1: That's quite a way to put it. It's really accurate. Actually,

467
00:26:03,359 --> 00:26:05,120
Speaker 1: I don't know why we say, oh, you know, journalists

468
00:26:05,119 --> 00:26:08,200
Speaker 1: are just doing that. They're just doing their jobs, as

469
00:26:08,200 --> 00:26:12,800
Speaker 1: I've said to you. Okay, So if journalists gets inside

470
00:26:12,840 --> 00:26:16,560
Speaker 1: information about a company and decides to buy some stock,

471
00:26:16,680 --> 00:26:19,040
Speaker 1: is he's just just doing his job? Oh no, that's

472
00:26:19,040 --> 00:26:23,040
Speaker 1: not okay. So insider trading is not okay. But classified

473
00:26:23,080 --> 00:26:26,280
Speaker 1: revelations that harm the United States national security, that's that's fine.

474
00:26:26,320 --> 00:26:28,879
Speaker 1: I just I'm sorry if you look at this from

475
00:26:28,920 --> 00:26:32,840
Speaker 1: the perspective of what is what is right, what is moral,

476
00:26:32,920 --> 00:26:37,920
Speaker 1: What a a dutiful and responsible citizen of this country

477
00:26:38,040 --> 00:26:41,280
Speaker 1: would and would not do what some of these journalists

478
00:26:41,320 --> 00:26:46,119
Speaker 1: do is is is completely beyond the pale. It really is.

479
00:26:46,240 --> 00:26:48,760
Speaker 1: And I don't I do not agree with these people

480
00:26:48,760 --> 00:26:50,560
Speaker 1: because but there are a few places where a lot

481
00:26:50,560 --> 00:26:52,880
Speaker 1: of journalists and I disagree. I don't think it's ethical

482
00:26:54,200 --> 00:26:56,600
Speaker 1: to have somebody else's name on a book that you

483
00:26:56,800 --> 00:27:00,200
Speaker 1: haven't written, um and have you. I'm sorry, I don't

484
00:27:00,200 --> 00:27:01,560
Speaker 1: think that's the cloud your name in a book that

485
00:27:01,600 --> 00:27:03,040
Speaker 1: you didn't write a word of and not at least

486
00:27:03,040 --> 00:27:04,880
Speaker 1: have somebody else is like a co author. I don't

487
00:27:04,880 --> 00:27:08,480
Speaker 1: think that's ethical. The publishing industry, of course, disagrees, because

488
00:27:08,520 --> 00:27:10,760
Speaker 1: now publishing a lot of books is mostly just a

489
00:27:10,800 --> 00:27:14,600
Speaker 1: branding exercise. Right, people have ghostwriters everywhere and who knows.

490
00:27:15,560 --> 00:27:17,640
Speaker 1: But you know, I disagree with those. You say, oh,

491
00:27:17,680 --> 00:27:19,920
Speaker 1: that's the way the business works, okay, but you're you're

492
00:27:20,840 --> 00:27:23,160
Speaker 1: kind of lying. I mean, you know, if you don't

493
00:27:23,160 --> 00:27:24,920
Speaker 1: have someone else's name on there at all, and you're

494
00:27:24,960 --> 00:27:26,640
Speaker 1: saying I wrote this book and you didn't write the book,

495
00:27:26,680 --> 00:27:28,959
Speaker 1: you didn't write the book, that's a lie. Right. This

496
00:27:29,000 --> 00:27:32,160
Speaker 1: is pretty basic stuff actually so, and I know people

497
00:27:32,160 --> 00:27:33,800
Speaker 1: get very mad at me when I say this, including

498
00:27:33,800 --> 00:27:36,639
Speaker 1: friends of mine and conservative media. I disagree with this notion.

499
00:27:37,280 --> 00:27:39,520
Speaker 1: In the United Kingdom they had the Official Secrets Act.

500
00:27:39,960 --> 00:27:41,560
Speaker 1: You know, the UK is not living in like the

501
00:27:41,600 --> 00:27:44,320
Speaker 1: long dark Night of tyranny. But you know, if you

502
00:27:44,400 --> 00:27:48,440
Speaker 1: got wind as a journalist of a very very sensitive

503
00:27:48,560 --> 00:27:51,320
Speaker 1: government program that the public had no need to know about,

504
00:27:51,359 --> 00:27:53,639
Speaker 1: but you just wanted to blow that program for the

505
00:27:53,640 --> 00:27:54,880
Speaker 1: fun of it, if you do that in the UK,

506
00:27:55,119 --> 00:27:58,399
Speaker 1: they might actually hold you responsible. They can legally. And

507
00:27:58,400 --> 00:28:00,480
Speaker 1: what I think is interesting in this country is that

508
00:28:00,680 --> 00:28:03,760
Speaker 1: legally they can't as well, they just choose not to.

509
00:28:04,680 --> 00:28:10,600
Speaker 1: M hmm. Interesting. So the Department of Justice says that

510
00:28:10,600 --> 00:28:13,720
Speaker 1: the law is not you know this, and I understand

511
00:28:13,800 --> 00:28:15,359
Speaker 1: I'm different on this and a lot of I'm different

512
00:28:15,359 --> 00:28:17,359
Speaker 1: than a lot of conservatives on this, and the people,

513
00:28:17,520 --> 00:28:19,440
Speaker 1: you know, they're all right now, every journal so no

514
00:28:19,600 --> 00:28:21,320
Speaker 1: be yelling at me pretty much, Oh how could you

515
00:28:22,440 --> 00:28:27,240
Speaker 1: but the same Jeff Sessions and you know Rod Rosenstein

516
00:28:27,320 --> 00:28:30,640
Speaker 1: over at the Attorney General's Office and at the Department

517
00:28:30,640 --> 00:28:33,800
Speaker 1: of Justice, who are saying on immigration, the laws, the laws,

518
00:28:33,840 --> 00:28:36,440
Speaker 1: the law. And I agree with them on that when

519
00:28:36,440 --> 00:28:39,600
Speaker 1: it comes to the dissemination of information that's harmful to

520
00:28:39,680 --> 00:28:41,840
Speaker 1: national defense. And again I think it should be a

521
00:28:41,920 --> 00:28:43,800
Speaker 1: very high bar. But I think the times, the posts

522
00:28:43,800 --> 00:28:51,719
Speaker 1: have cleared that bar many times. Uh. They just somehow

523
00:28:51,760 --> 00:28:53,680
Speaker 1: say that, well, the law isn't really the law. They

524
00:28:53,720 --> 00:28:58,720
Speaker 1: do not have any statutory exemption from prosecution. It does

525
00:28:58,760 --> 00:29:03,320
Speaker 1: not exist. And I just think it's fascinating that you have,

526
00:29:04,160 --> 00:29:06,440
Speaker 1: you know, you've got someone like Bluementhal saying the press

527
00:29:06,480 --> 00:29:09,400
Speaker 1: is doing this great job. Meanwhile, Bloomenthal, if one of

528
00:29:09,440 --> 00:29:11,600
Speaker 1: those leakers is caught will probably say, oh, yeah, the

529
00:29:11,680 --> 00:29:14,680
Speaker 1: leaguer or leakers terrible, the leakers the source of the information.

530
00:29:15,440 --> 00:29:17,840
Speaker 1: If it's shining light on our democracy and doing this

531
00:29:17,960 --> 00:29:20,200
Speaker 1: great thing for the New York Times to publish it,

532
00:29:20,360 --> 00:29:23,520
Speaker 1: how is the leaker or a bad guy? You know,

533
00:29:23,840 --> 00:29:25,600
Speaker 1: people want to have their cake. You needed too with this,

534
00:29:25,720 --> 00:29:28,280
Speaker 1: Really think this through. Forget about what journalists say. A

535
00:29:28,280 --> 00:29:31,880
Speaker 1: lot of journalists are glorified gossip columnists. They just want

536
00:29:31,880 --> 00:29:34,120
Speaker 1: all their little perks and their little power, and they

537
00:29:34,160 --> 00:29:36,760
Speaker 1: like to be able to run stories based on secret

538
00:29:36,800 --> 00:29:40,320
Speaker 1: information that they get from the government without consequence and

539
00:29:40,440 --> 00:29:42,440
Speaker 1: maybe even you know, we can't change the laws, and

540
00:29:42,480 --> 00:29:43,880
Speaker 1: I get it, because then it would or not even

541
00:29:43,960 --> 00:29:45,480
Speaker 1: change the law. We can't enforce the law on this.

542
00:29:45,560 --> 00:29:47,280
Speaker 1: That's actually what it would be, enforce the law on this,

543
00:29:47,320 --> 00:29:49,560
Speaker 1: because then it would be you know, such a chilling

544
00:29:49,560 --> 00:29:52,600
Speaker 1: effect in the First Amendment. But well, we're willing to

545
00:29:52,640 --> 00:29:55,440
Speaker 1: accept now that the government, because they did this under Obama,

546
00:29:56,040 --> 00:30:00,920
Speaker 1: will pull journalists information and get at their sources. So

547
00:30:00,960 --> 00:30:04,280
Speaker 1: that's a that's a massive chilling effect. But that will

548
00:30:04,440 --> 00:30:06,200
Speaker 1: will sort of say, at least under Obama that say

549
00:30:06,240 --> 00:30:07,720
Speaker 1: it's okay when Trump does it By the way, you

550
00:30:07,720 --> 00:30:10,000
Speaker 1: will notice it'll be a I don't know what the

551
00:30:10,000 --> 00:30:12,400
Speaker 1: most alarms is for a fire, five alarm fire. I

552
00:30:12,440 --> 00:30:13,880
Speaker 1: think that's right. I don't know. I gotta ask one

553
00:30:13,920 --> 00:30:16,720
Speaker 1: of my firefighter friends. But they're gonna act like it is,

554
00:30:16,840 --> 00:30:20,360
Speaker 1: you know, the nuclear apocalypse. Uh. For the First Amendment.

555
00:30:20,400 --> 00:30:22,640
Speaker 1: It is just gonna be, you know, the the end

556
00:30:22,640 --> 00:30:25,320
Speaker 1: of days for free speech, the moment that Donald Trump's

557
00:30:25,640 --> 00:30:29,640
Speaker 1: Department of Justice starts pulling journalist information and get its sources.

558
00:30:30,360 --> 00:30:33,000
Speaker 1: But I'm just offering to you that we should look

559
00:30:33,040 --> 00:30:37,400
Speaker 1: at the issue with moral clarity. Maybe the legalities of

560
00:30:37,400 --> 00:30:40,719
Speaker 1: this are too intricate, But like I said, you notice,

561
00:30:41,240 --> 00:30:44,040
Speaker 1: Bluementhal says, the press has done great stuff, including with

562
00:30:44,040 --> 00:30:47,520
Speaker 1: the leaks about Trump. But and not that Bluementhal is

563
00:30:47,600 --> 00:30:50,680
Speaker 1: some paragon of virtue or anything like that. But here's

564
00:30:50,680 --> 00:30:52,520
Speaker 1: a guy who's gonna say that he's a U. S. Senator.

565
00:30:52,880 --> 00:30:54,800
Speaker 1: But if they find one of these leakers, oh yeah,

566
00:30:54,880 --> 00:30:57,720
Speaker 1: leaquer leakers should go to prison. So New York Times

567
00:30:57,760 --> 00:31:00,600
Speaker 1: publishing the information so that actually is out there and

568
00:31:00,640 --> 00:31:04,600
Speaker 1: can damage national security. They're like the guardians of democracy.

569
00:31:04,760 --> 00:31:07,000
Speaker 1: But the person who gives them the information that we're

570
00:31:07,040 --> 00:31:09,080
Speaker 1: supposed to know so that the New York Times can

571
00:31:09,120 --> 00:31:12,120
Speaker 1: be guardians of democracy. Is the bad guy. This is

572
00:31:12,160 --> 00:31:15,520
Speaker 1: just an issue of logistics and convenience. You know, we

573
00:31:15,600 --> 00:31:19,000
Speaker 1: gotta punish somebody, so punish the guy from the government

574
00:31:19,040 --> 00:31:21,560
Speaker 1: side of it. There's there's not an ethical boundary that's

575
00:31:21,560 --> 00:31:23,680
Speaker 1: really being because are all Well it's because the government

576
00:31:23,720 --> 00:31:26,480
Speaker 1: is you know, you have responsibility to the government. Well,

577
00:31:26,560 --> 00:31:30,080
Speaker 1: you have your first responsibility actually, the American people. And

578
00:31:30,120 --> 00:31:31,720
Speaker 1: you can't say that one is good and the other

579
00:31:31,800 --> 00:31:33,640
Speaker 1: is bad on a moral level. On a legal level,

580
00:31:34,800 --> 00:31:38,240
Speaker 1: notice how they're They won't change the law. They won't

581
00:31:38,280 --> 00:31:41,720
Speaker 1: give journalists a separate statute because that would create some

582
00:31:41,800 --> 00:31:44,560
Speaker 1: interesting legal issues of its own. So they just have

583
00:31:44,760 --> 00:31:46,920
Speaker 1: this crazy and they like to operate in You know,

584
00:31:47,080 --> 00:31:49,480
Speaker 1: I know I'm different than other folks on this one,

585
00:31:49,520 --> 00:31:53,040
Speaker 1: but think about what I'm saying. Think try to, just

586
00:31:53,080 --> 00:31:54,840
Speaker 1: for a moment, see it the way I'm seeing it.

587
00:31:55,520 --> 00:31:58,000
Speaker 1: And when journalists talk about this issue, and even politicians,

588
00:31:58,040 --> 00:31:59,959
Speaker 1: you'd be like, wait a second, that just doesn't mean

589
00:32:00,200 --> 00:32:04,320
Speaker 1: this doesn't make any sense. Um, that's not that that

590
00:32:04,360 --> 00:32:08,440
Speaker 1: doesn't follow. There's not a logic to this it's just

591
00:32:08,640 --> 00:32:10,480
Speaker 1: what is the way we've done it is the way

592
00:32:10,480 --> 00:32:12,800
Speaker 1: we should do it, Okay, and know we're talking leaks,

593
00:32:12,840 --> 00:32:14,040
Speaker 1: and I went down. I went down a bit of

594
00:32:14,040 --> 00:32:16,640
Speaker 1: a rabbit hole there. But by the way, you get

595
00:32:17,160 --> 00:32:19,440
Speaker 1: Jason chafis run around doing a lot of country right.

596
00:32:19,480 --> 00:32:21,880
Speaker 1: He's no longer in Congress. He talked about Rosenstein. Um,

597
00:32:22,560 --> 00:32:25,600
Speaker 1: but he said this about Rod Rosenstein, the Deputy Attorney

598
00:32:25,600 --> 00:32:27,959
Speaker 1: General's kind of interesting take on it. He comes with

599
00:32:28,040 --> 00:32:32,000
Speaker 1: absolutely zero credibility on this. Remember last year when we

600
00:32:32,040 --> 00:32:34,480
Speaker 1: had Director Comy come before the Oversight Committee, I was

601
00:32:34,520 --> 00:32:36,760
Speaker 1: the chairman. I asked him if he looked at Hillary

602
00:32:36,800 --> 00:32:39,240
Speaker 1: Clinton whether or not she told the truth under oath.

603
00:32:39,600 --> 00:32:42,440
Speaker 1: He said he needed a request from Congress. So myself

604
00:32:42,720 --> 00:32:45,080
Speaker 1: and Bob good Lat, the chairman of the Judiciary Committee,

605
00:32:45,120 --> 00:32:49,040
Speaker 1: sent that requested the Department of Justice. It's never been answered.

606
00:32:49,240 --> 00:32:51,520
Speaker 1: So if they want to start, let's start with Hillary Clinton,

607
00:32:51,560 --> 00:32:54,040
Speaker 1: whether or not she lied under under oath. And let's

608
00:32:54,080 --> 00:32:56,480
Speaker 1: also go back to the State Department, who had an

609
00:32:56,520 --> 00:33:01,120
Speaker 1: open investigation. They reopened at July seven. They've never closed it.

610
00:33:01,200 --> 00:33:05,560
Speaker 1: Nearly three hundred people who are dealing in classified information

611
00:33:05,560 --> 00:33:08,840
Speaker 1: in a non secure setting why didn't they ever close

612
00:33:08,920 --> 00:33:12,120
Speaker 1: that investigation? They need to answer those questions, so start

613
00:33:12,160 --> 00:33:16,280
Speaker 1: with that. They come with zero credibility on this issue. Well,

614
00:33:16,320 --> 00:33:19,600
Speaker 1: I guess to say that rosen Scene is zero credibility

615
00:33:19,600 --> 00:33:24,240
Speaker 1: because he hasn't dealt with those other issues. It seems

616
00:33:24,320 --> 00:33:26,880
Speaker 1: like it could be a problem down the line because

617
00:33:26,880 --> 00:33:31,040
Speaker 1: of Rosenstein. If the Council doesn't bring any charges and

618
00:33:31,160 --> 00:33:33,560
Speaker 1: Rosenstein drops all this, I'm sure we'll be hearing that

619
00:33:33,640 --> 00:33:36,080
Speaker 1: Rosenstein is or you know, not that he's the one

620
00:33:36,160 --> 00:33:38,960
Speaker 1: leading that investigation, the Russia collusion. But I'm sure we

621
00:33:39,080 --> 00:33:41,240
Speaker 1: heard about how great rosen Scene is. They're there. But

622
00:33:41,360 --> 00:33:45,560
Speaker 1: I think for now there's a sense that there's a

623
00:33:46,040 --> 00:33:49,120
Speaker 1: a lot of criticism of the d o J and

624
00:33:49,200 --> 00:33:53,080
Speaker 1: it's functioning in the past as a political tool under

625
00:33:53,080 --> 00:33:57,000
Speaker 1: the Democrats that now somehow is still weaponized against Republicans.

626
00:33:57,040 --> 00:34:00,680
Speaker 1: Isn't an amazing Democrats are in charge and Amocrats don't

627
00:34:00,680 --> 00:34:03,600
Speaker 1: get in trouble with anything from the d J. Republicans

628
00:34:03,640 --> 00:34:05,880
Speaker 1: are in charge, and some Republicans do get in trouble

629
00:34:06,000 --> 00:34:07,680
Speaker 1: from from the d o J. That's just the way

630
00:34:07,720 --> 00:34:10,680
Speaker 1: it is. Um Although of course on the left people

631
00:34:10,719 --> 00:34:13,480
Speaker 1: believe that this is all all this talk of the

632
00:34:13,520 --> 00:34:17,839
Speaker 1: deep state, as it is often termed, all this talk

633
00:34:17,880 --> 00:34:22,600
Speaker 1: of the deep State is a whole bunch of conspiracy stuff, right,

634
00:34:22,640 --> 00:34:25,839
Speaker 1: That's what they say. Um, that's what is being said

635
00:34:25,880 --> 00:34:32,239
Speaker 1: constantly over at MSNBC, including by Joy Read. The other

636
00:34:32,320 --> 00:34:34,319
Speaker 1: issue that you know, the bright Bart world has been

637
00:34:34,400 --> 00:34:37,040
Speaker 1: using to try to get Trump's numbers back up, is

638
00:34:37,080 --> 00:34:39,799
Speaker 1: this sort of deep state paranoia, the idea that there's

639
00:34:39,800 --> 00:34:41,920
Speaker 1: a sort of slow motion coup taking place in the

640
00:34:41,920 --> 00:34:45,040
Speaker 1: West Wing, that people like General Kenney and McMaster are

641
00:34:45,160 --> 00:34:47,480
Speaker 1: undermining Trump and trying to take over and push out

642
00:34:47,560 --> 00:34:50,240
Speaker 1: the bright Bart sort of contingent out of the White House.

643
00:34:50,600 --> 00:34:53,319
Speaker 1: Does that work in terms of keeping Donald Trump's base

644
00:34:53,400 --> 00:34:55,440
Speaker 1: in place and keeping them paranoid enough to stick with

645
00:34:55,520 --> 00:34:58,040
Speaker 1: him or at some point will that even start to

646
00:34:58,080 --> 00:35:00,839
Speaker 1: wear thin? Oh? I think for a while it'll keep

647
00:35:00,840 --> 00:35:03,279
Speaker 1: them that babe, because a lot of funks whatever. So

648
00:35:03,440 --> 00:35:06,359
Speaker 1: that that that's it's all. It's all just you know,

649
00:35:06,520 --> 00:35:09,719
Speaker 1: the d o J and the Intel agencies and the

650
00:35:09,719 --> 00:35:12,880
Speaker 1: federal government opposing Trump and the deep State. That's all

651
00:35:12,920 --> 00:35:14,920
Speaker 1: a big lie, they say, right, So it's a conspiracy.

652
00:35:15,080 --> 00:35:17,879
Speaker 1: It's a conspiracy. So she's saying that, and that's a

653
00:35:17,880 --> 00:35:21,640
Speaker 1: common refrain you'll hear over the MSNBC. Meanwhile, here's a

654
00:35:21,640 --> 00:35:25,040
Speaker 1: piece from today from The Hill. Federal employees step up

655
00:35:25,120 --> 00:35:29,719
Speaker 1: defiance of Trump. Government employees are going increasingly willing to

656
00:35:29,760 --> 00:35:33,440
Speaker 1: criticize or define the White House and President Trump's top appointees.

657
00:35:34,000 --> 00:35:36,840
Speaker 1: A handful of current former career staffers in the Interior

658
00:35:36,880 --> 00:35:40,640
Speaker 1: Department and Environmental Protection Agency have openly shredded their superiors

659
00:35:40,680 --> 00:35:43,239
Speaker 1: within the last several weeks, continuing a trend that has

660
00:35:43,280 --> 00:35:46,840
Speaker 1: developed throughout the government over the course of Trump's tenure

661
00:35:46,880 --> 00:35:49,839
Speaker 1: in the Oval office. I mean, I could go on.

662
00:35:49,880 --> 00:35:52,640
Speaker 1: It just goes into more details about this. So what

663
00:35:52,680 --> 00:35:54,120
Speaker 1: are we to call it when there are people that

664
00:35:54,200 --> 00:35:56,320
Speaker 1: are supposed to be civil servants, who are non political,

665
00:35:56,320 --> 00:35:59,640
Speaker 1: who refuse, who want to keep getting a check in

666
00:35:59,719 --> 00:36:03,080
Speaker 1: the executive branch of the federal government where they work

667
00:36:03,200 --> 00:36:05,359
Speaker 1: for the White House. They work for Donald Trump, they

668
00:36:05,360 --> 00:36:07,719
Speaker 1: worked for the president. That's what the executive branches. He's

669
00:36:07,760 --> 00:36:10,239
Speaker 1: the top of the executive branch. They want to keep

670
00:36:10,239 --> 00:36:12,359
Speaker 1: getting the check, but they don't want to do what

671
00:36:12,440 --> 00:36:14,719
Speaker 1: they are told to do. They don't want to implement

672
00:36:15,840 --> 00:36:19,560
Speaker 1: orders and policy from the President, from the Commander chief.

673
00:36:19,600 --> 00:36:22,440
Speaker 1: They would like to find some way around all this.

674
00:36:22,800 --> 00:36:25,200
Speaker 1: If we don't call them deep state, what what should

675
00:36:25,280 --> 00:36:28,680
Speaker 1: we call them? What is that? What is that thing?

676
00:36:28,880 --> 00:36:31,319
Speaker 1: What is it? When people are in the government and

677
00:36:31,360 --> 00:36:36,319
Speaker 1: refused to act as though they obey government mandates because

678
00:36:36,320 --> 00:36:39,640
Speaker 1: they don't like Donald Trump. I saw some over the

679
00:36:39,640 --> 00:36:43,239
Speaker 1: weekend some of this chatter, including a piece I believe

680
00:36:43,280 --> 00:36:45,880
Speaker 1: in New York Times about how there is a a

681
00:36:46,120 --> 00:36:51,920
Speaker 1: stealth Pence for President effort underway. This is one of

682
00:36:51,920 --> 00:36:55,360
Speaker 1: these stories that from the perspective of the anti Trump media,

683
00:36:55,480 --> 00:36:59,839
Speaker 1: it's just it's great for them, right, because it's interesting.

684
00:37:00,120 --> 00:37:03,799
Speaker 1: I mean I read it. They don't have to be right,

685
00:37:03,960 --> 00:37:05,719
Speaker 1: and no one will know for a long time if

686
00:37:05,760 --> 00:37:10,880
Speaker 1: they are right. But it immediately creates doubts about whether

687
00:37:11,160 --> 00:37:14,200
Speaker 1: Trump would even seek a second or if you believe

688
00:37:14,239 --> 00:37:17,240
Speaker 1: the story, of course, which I don't, but it creates

689
00:37:17,239 --> 00:37:20,400
Speaker 1: doubts but whether Trump even wants a second term, and

690
00:37:20,600 --> 00:37:27,320
Speaker 1: also magnifies the perception that Donald Trump is worried about

691
00:37:27,520 --> 00:37:30,640
Speaker 1: what's going to happen as a result of this Mueller

692
00:37:30,800 --> 00:37:35,279
Speaker 1: Special Counsel investigation. Should note that the most red piece

693
00:37:35,320 --> 00:37:37,399
Speaker 1: I see in the Washington Post right now is that

694
00:37:37,719 --> 00:37:40,880
Speaker 1: as Mueller closes in, Trump must prepare his base for

695
00:37:40,920 --> 00:37:45,160
Speaker 1: the worst. So this is now, It's it's August. The

696
00:37:45,239 --> 00:37:48,640
Speaker 1: media is gonna get creative. They're gonna find ways, of course,

697
00:37:48,680 --> 00:37:52,920
Speaker 1: to make the Trump administration look bad, or to create

698
00:37:53,000 --> 00:37:58,360
Speaker 1: greater uncertainty, to fan the flames of discontent among different

699
00:37:58,480 --> 00:38:02,239
Speaker 1: administration officials. Whatever it is that they can do to

700
00:38:02,440 --> 00:38:06,600
Speaker 1: just make life harder for this White House, they will do. Uh.

701
00:38:06,640 --> 00:38:10,480
Speaker 1: And in this case, it's just creating, creating this whole narrative,

702
00:38:10,480 --> 00:38:15,040
Speaker 1: this whole storyline that Pence will be running in Donald

703
00:38:15,040 --> 00:38:17,480
Speaker 1: Trump won't even run again, and that they're already preparing,

704
00:38:17,480 --> 00:38:19,480
Speaker 1: and that their donors lining up and all this stuff

705
00:38:19,560 --> 00:38:23,200
Speaker 1: is happening. Trump's senior spokesperson. I'm not even sure what

706
00:38:23,239 --> 00:38:26,400
Speaker 1: our official title is, but Kelly and Conway was on

707
00:38:26,480 --> 00:38:30,800
Speaker 1: the Sunday shows shooting this down. And I want to

708
00:38:30,840 --> 00:38:33,080
Speaker 1: make a remark about Vice President Pence. I've worked with

709
00:38:33,160 --> 00:38:36,280
Speaker 1: him for ten years as his polster, as a senior advisor,

710
00:38:36,320 --> 00:38:38,320
Speaker 1: and certainly worked with him daily in the White House.

711
00:38:38,880 --> 00:38:41,680
Speaker 1: It is absolutely true that the Vice President is getting

712
00:38:41,719 --> 00:38:44,799
Speaker 1: ready for two thousand twenty for re election as vice

713
00:38:44,840 --> 00:38:52,000
Speaker 1: president for eight zero concern. That is complete fiction. That

714
00:38:52,160 --> 00:38:56,879
Speaker 1: is complete fabrication. Now, let's assume for a moment that ms.

715
00:38:56,960 --> 00:39:01,400
Speaker 1: Conway here is is correct and that it's a total fiction,

716
00:39:01,440 --> 00:39:05,759
Speaker 1: total fabrication. Do we think that the press that ran

717
00:39:05,800 --> 00:39:08,359
Speaker 1: with the story cares? Of course not. Do you think

718
00:39:08,400 --> 00:39:10,640
Speaker 1: that the journalists that I think it was the Times

719
00:39:11,080 --> 00:39:14,400
Speaker 1: who ran that piece have a moment's hesitation about it

720
00:39:14,480 --> 00:39:16,520
Speaker 1: now that there's been pushedback and people are saying, oh,

721
00:39:16,560 --> 00:39:20,359
Speaker 1: that's not accurate. That's not no, because the purpose of

722
00:39:20,400 --> 00:39:24,759
Speaker 1: these pieces, the reason for these stories to appear in

723
00:39:24,800 --> 00:39:27,440
Speaker 1: the New York Times in these other places, is not

724
00:39:27,560 --> 00:39:33,239
Speaker 1: to inform the public. It is to feed anti Trump

725
00:39:33,400 --> 00:39:43,560
Speaker 1: prejudices and to create memes, thought patterns, perceptions, news cycles

726
00:39:43,719 --> 00:39:45,960
Speaker 1: that are damaging the Trump And so as long as

727
00:39:46,000 --> 00:39:49,239
Speaker 1: it serves that end, it doesn't matter. Accuracy to them

728
00:39:49,280 --> 00:39:52,000
Speaker 1: doesn't matter. This is why when Trump calls them fake news,

729
00:39:52,400 --> 00:39:54,960
Speaker 1: and people say, oh, that's so unfair, and you know,

730
00:39:55,000 --> 00:39:58,040
Speaker 1: he's being Trump again with this fake new stuff and

731
00:39:58,080 --> 00:40:02,000
Speaker 1: he shouldn't say that I what he's talking about. Do

732
00:40:02,040 --> 00:40:04,040
Speaker 1: you think there will ever be any corroboration of this

733
00:40:04,080 --> 00:40:07,080
Speaker 1: whole pen story. Do you think we'll ever get to

734
00:40:07,080 --> 00:40:09,759
Speaker 1: the bottom of it. I think it's unlikely because they'll

735
00:40:09,800 --> 00:40:13,120
Speaker 1: drop it. They ran with it, they were able to

736
00:40:13,200 --> 00:40:15,080
Speaker 1: use it for the time period they wanted to, and

737
00:40:15,080 --> 00:40:17,319
Speaker 1: then they were able to go forward. Also, I mean,

738
00:40:17,320 --> 00:40:20,560
Speaker 1: how much time have we spent talking about the possibility

739
00:40:20,640 --> 00:40:26,279
Speaker 1: of Muller, the special counsel who is looking at all

740
00:40:26,360 --> 00:40:28,560
Speaker 1: kinds of things Trump right now? How many times you

741
00:40:28,560 --> 00:40:32,640
Speaker 1: talked about the possibility of Trump firing him, despite the

742
00:40:32,680 --> 00:40:35,399
Speaker 1: fact that every and around Trump is saying that that's

743
00:40:35,440 --> 00:40:37,520
Speaker 1: not gonna happen. And look, I get it. This is

744
00:40:37,600 --> 00:40:40,040
Speaker 1: Kelley and Conway's a spokesperson for the administration, and she

745
00:40:40,120 --> 00:40:46,480
Speaker 1: has she has been willing to defend some pretty fringe

746
00:40:46,640 --> 00:40:51,200
Speaker 1: stuff at times from from the President, particularly during the campaign.

747
00:40:52,000 --> 00:40:55,720
Speaker 1: But on this issue of firing Mueller, she seems pretty

748
00:40:55,760 --> 00:41:01,640
Speaker 1: definitive about no way, no how, no chance does the

749
00:41:01,640 --> 00:41:07,399
Speaker 1: President commit to not firing Robert Mueller. The President has

750
00:41:07,400 --> 00:41:10,440
Speaker 1: not even discussed that that. The President is not discussing

751
00:41:10,480 --> 00:41:16,319
Speaker 1: firing bout Muller flying and cooperating with He has not

752
00:41:16,360 --> 00:41:19,040
Speaker 1: even discussed not fired. He's not discussed firing Bob Muller.

753
00:41:19,840 --> 00:41:23,120
Speaker 1: Thy Cob. Well, well, hold on, I'm not the president's

754
00:41:23,160 --> 00:41:25,160
Speaker 1: lawyer here, but I will tell you as his counselor,

755
00:41:25,160 --> 00:41:27,680
Speaker 1: he is not discussing that he You have to listen

756
00:41:27,680 --> 00:41:29,680
Speaker 1: to a special counsel, Tie Cob, who works in the

757
00:41:29,719 --> 00:41:31,920
Speaker 1: White House now and has said very clearly George this

758
00:41:31,960 --> 00:41:35,000
Speaker 1: week that we will continue to cooperate with Bob Muller

759
00:41:35,040 --> 00:41:40,280
Speaker 1: and his investigation. So you can believe, you can believe

760
00:41:40,320 --> 00:41:41,920
Speaker 1: that that's what's going on, or you can believe what

761
00:41:41,960 --> 00:41:44,319
Speaker 1: the media saying here. But you know, you add all

762
00:41:44,360 --> 00:41:46,600
Speaker 1: these stories up, and like I said, you're going to

763
00:41:46,640 --> 00:41:50,400
Speaker 1: see more of this too. Right. The the news piece

764
00:41:50,520 --> 00:41:54,719
Speaker 1: that's really a question disguised as a news item, or

765
00:41:54,840 --> 00:41:58,120
Speaker 1: or an allegation disguised as a news item we've seen

766
00:41:58,160 --> 00:42:00,840
Speaker 1: in recent weeks. What was it, you know, is is

767
00:42:01,360 --> 00:42:05,040
Speaker 1: can Trump pardon himself? Trump's asking about whether he can

768
00:42:05,120 --> 00:42:07,279
Speaker 1: pardon members of his own family, Trump's wondering if he

769
00:42:07,280 --> 00:42:09,920
Speaker 1: can pardon himself. That was twenty four or forty eight

770
00:42:10,000 --> 00:42:13,879
Speaker 1: hours of media time spent on that one, right, And

771
00:42:14,200 --> 00:42:16,160
Speaker 1: what are we to take away from that? With the

772
00:42:16,200 --> 00:42:18,960
Speaker 1: presidents really worried right that they're coming for him, he

773
00:42:19,000 --> 00:42:20,920
Speaker 1: knows he knows they've got him. It's just a question

774
00:42:20,960 --> 00:42:25,200
Speaker 1: of when and with whether it's run by Pence or

775
00:42:25,200 --> 00:42:29,319
Speaker 1: firing Muller. These are all stories that are they could

776
00:42:29,400 --> 00:42:32,839
Speaker 1: be completely false, they could be totally wrong, and yet

777
00:42:32,880 --> 00:42:34,960
Speaker 1: they keep coming out with them and out with them,

778
00:42:34,960 --> 00:42:37,799
Speaker 1: and you know who knows what they're sourcing is on

779
00:42:37,840 --> 00:42:40,160
Speaker 1: some of this, And there have been major retractions. I've

780
00:42:40,200 --> 00:42:41,879
Speaker 1: talked to you about this in the past. But this

781
00:42:41,960 --> 00:42:45,560
Speaker 1: is why when he says fake news, people cheer and

782
00:42:45,560 --> 00:42:48,319
Speaker 1: they're happy. Not all of it's fake. Obviously, if all

783
00:42:48,400 --> 00:42:52,320
Speaker 1: of it were fake, it wouldn't be effective. And you

784
00:42:53,040 --> 00:42:57,080
Speaker 1: need to have some credibility or else everything you do

785
00:42:57,440 --> 00:42:59,719
Speaker 1: is worthless, right, I mean, unless you're living in a

786
00:42:59,760 --> 00:43:03,239
Speaker 1: true totalitarian state where they where the media is run

787
00:43:03,280 --> 00:43:04,680
Speaker 1: by the state and they can force you to say

788
00:43:04,680 --> 00:43:07,560
Speaker 1: whatever they want. The media has to be somewhat believed,

789
00:43:07,560 --> 00:43:10,799
Speaker 1: has to be mostly believable. It really has to be, uh,

790
00:43:10,800 --> 00:43:14,960
Speaker 1: you know, believable. But that last ten percent of stories

791
00:43:15,000 --> 00:43:18,200
Speaker 1: that it runs with that are not thoroughly sourced or

792
00:43:18,239 --> 00:43:21,120
Speaker 1: that are based on flimsy sources, but that have a

793
00:43:21,160 --> 00:43:25,240
Speaker 1: clear political motive. That's all that you need to see

794
00:43:25,280 --> 00:43:29,880
Speaker 1: that this is a This is a game for them, really,

795
00:43:29,960 --> 00:43:31,640
Speaker 1: and and they're playing for keeps. I mean they're not

796
00:43:32,080 --> 00:43:35,319
Speaker 1: They're not messing around with this. So we will have

797
00:43:35,400 --> 00:43:42,160
Speaker 1: to see if Trump is able to get past this

798
00:43:42,239 --> 00:43:47,040
Speaker 1: month without their being just an avalanche of negative stories

799
00:43:47,080 --> 00:43:49,319
Speaker 1: that aren't even really stories, right, this will just be

800
00:43:49,760 --> 00:43:51,719
Speaker 1: they'll do it as think pieces. They'll do it as

801
00:43:51,800 --> 00:43:54,840
Speaker 1: news analysis about how terrible administration. As I started off that,

802
00:43:54,920 --> 00:43:57,560
Speaker 1: they talked to me about how or two days in

803
00:43:57,760 --> 00:44:01,960
Speaker 1: and judging the administration, how what it is actually done.

804
00:44:02,480 --> 00:44:06,840
Speaker 1: It's been pretty good. Congress has stunk up the joint,

805
00:44:06,880 --> 00:44:10,000
Speaker 1: but you know, Trump has actually done a pretty good

806
00:44:10,080 --> 00:44:11,440
Speaker 1: job all things. I mean, it could be a lot,

807
00:44:11,560 --> 00:44:13,640
Speaker 1: it could be better, maybe a lot better. It could

808
00:44:13,640 --> 00:44:17,400
Speaker 1: be better. I wish that there wasn't all of the

809
00:44:17,520 --> 00:44:19,799
Speaker 1: back and forth from the White House that we've seen. Hey,

810
00:44:19,880 --> 00:44:21,640
Speaker 1: the mooch, I just like saying that, I should stop.

811
00:44:21,680 --> 00:44:24,879
Speaker 1: I know, you've got General Kelly. Now looks like he

812
00:44:25,000 --> 00:44:31,800
Speaker 1: has set in place some sturdier mechanisms inside the White House,

813
00:44:31,840 --> 00:44:35,680
Speaker 1: and there is a calm, steady and respected hand on

814
00:44:36,840 --> 00:44:40,240
Speaker 1: the helm on the wheel. So that will be useful

815
00:44:40,280 --> 00:44:41,719
Speaker 1: to be sure. I mean, I think that will make

816
00:44:41,760 --> 00:44:45,400
Speaker 1: things a bit better, but just beyond beyond guard for it. Really,

817
00:44:45,719 --> 00:44:49,400
Speaker 1: I'm giving you a bit of a early heads up,

818
00:44:49,440 --> 00:44:52,760
Speaker 1: an awarding that I think you'll see a lot of

819
00:44:52,840 --> 00:44:55,080
Speaker 1: what could be accurately described as fake news, which should

820
00:44:55,080 --> 00:44:57,040
Speaker 1: we describe as fake news in the weeks ahead, because

821
00:44:57,040 --> 00:44:59,839
Speaker 1: things will slow down. You don't have Congress, you don't

822
00:44:59,840 --> 00:45:02,880
Speaker 1: have of the president in the White House day in

823
00:45:02,840 --> 00:45:06,080
Speaker 1: and day out. Access will be somewhat limited, and so

824
00:45:06,280 --> 00:45:11,160
Speaker 1: this is the time to create some froth, some frenzy,

825
00:45:11,280 --> 00:45:18,359
Speaker 1: some excitement among the anti Trump Russia collusion fantasists out

826
00:45:18,400 --> 00:45:21,640
Speaker 1: there that it's all coming, it's all coming apart, it's

827
00:45:21,640 --> 00:45:25,080
Speaker 1: all gonna collapse. You just wait and see. And there's

828
00:45:25,120 --> 00:45:26,920
Speaker 1: so many different ways you can do these stories. And

829
00:45:27,120 --> 00:45:30,120
Speaker 1: I mean, in a sense I almost I am curious

830
00:45:30,440 --> 00:45:33,839
Speaker 1: on a purely creative level, how they come up with

831
00:45:34,280 --> 00:45:39,000
Speaker 1: different ways of suggesting that Trump is just days away

832
00:45:39,040 --> 00:45:42,200
Speaker 1: from prosecution or someone in his inner circle is. It's

833
00:45:42,239 --> 00:45:44,919
Speaker 1: just a question of when, right. I'm curious to see

834
00:45:44,920 --> 00:45:46,239
Speaker 1: how they do it. I know they will do it,

835
00:45:46,280 --> 00:45:48,640
Speaker 1: but just keep an eye out on eye out for it,

836
00:45:48,719 --> 00:45:51,120
Speaker 1: because you're gonna see a lot of it. I'm telling

837
00:45:51,160 --> 00:45:53,760
Speaker 1: you today, there's gonna be in the next few weeks

838
00:45:54,360 --> 00:45:57,120
Speaker 1: lots of you know, what would it be like if

839
00:45:57,200 --> 00:46:00,480
Speaker 1: you know, there'll be a piece in Washington Post in prison,

840
00:46:00,520 --> 00:46:03,279
Speaker 1: would a president have a special cell? You know, they're

841
00:46:03,280 --> 00:46:05,319
Speaker 1: bringing a bunch of experts. What would the president's cell

842
00:46:05,440 --> 00:46:07,799
Speaker 1: be like when he's in prison? You know, somebody else

843
00:46:08,080 --> 00:46:09,919
Speaker 1: coming here and talk to us about what that. Let's

844
00:46:09,920 --> 00:46:14,239
Speaker 1: bring on a presidential noted presidential historian, probably from CNN. Uh,

845
00:46:14,280 --> 00:46:15,520
Speaker 1: you know, what what would it be like for a

846
00:46:15,560 --> 00:46:18,879
Speaker 1: president to go to prison? Uh? And I mean we're

847
00:46:18,880 --> 00:46:20,640
Speaker 1: not saying he's going to prison, that's what they'll tell you.

848
00:46:20,680 --> 00:46:23,320
Speaker 1: We're just, you know, bringing on some experts to wonder

849
00:46:23,440 --> 00:46:26,279
Speaker 1: about what it would be like where that where if

850
00:46:26,320 --> 00:46:31,520
Speaker 1: that unfortunate calamity were to befallow the American people. Oh anyway,

851
00:46:31,600 --> 00:46:33,359
Speaker 1: talked about a hit to the markets too. I mean,

852
00:46:33,760 --> 00:46:35,640
Speaker 1: if these people got their wish, if the if the

853
00:46:35,640 --> 00:46:39,800
Speaker 1: true anti Trumper's, if the hashtag resistance got what it

854
00:46:39,880 --> 00:46:44,120
Speaker 1: wanted here, which is a president who was forced out

855
00:46:44,160 --> 00:46:47,839
Speaker 1: of office either through resignation or impeachment and removal by

856
00:46:47,840 --> 00:46:51,600
Speaker 1: the Senate, and then was prosecuted criminally think about what

857
00:46:51,640 --> 00:46:55,600
Speaker 1: that would do too. I mean, I guess they would say, well,

858
00:46:56,360 --> 00:46:58,839
Speaker 1: that's what's needed because he's the president and you can't

859
00:46:58,840 --> 00:47:01,840
Speaker 1: break the law. Think about would do though the stock

860
00:47:01,920 --> 00:47:06,080
Speaker 1: market too, employment to the perception of where the country

861
00:47:06,160 --> 00:47:08,360
Speaker 1: is going. Uh, it would send us all to a

862
00:47:08,440 --> 00:47:10,839
Speaker 1: very dark place. But that is a tradeoff I am

863
00:47:10,960 --> 00:47:13,960
Speaker 1: certain they're all willing to make right now. Uh, speaking

864
00:47:13,960 --> 00:47:18,000
Speaker 1: of tradeoffs, and uh, well, no, I can't really do

865
00:47:18,040 --> 00:47:22,319
Speaker 1: a great I'm gonna have to reverse on that transition,

866
00:47:22,880 --> 00:47:26,400
Speaker 1: reverse on that tease. I saw this and you may

867
00:47:26,400 --> 00:47:31,120
Speaker 1: be wondering who is Elizabeth Carlyle and what does she

868
00:47:31,200 --> 00:47:34,640
Speaker 1: have to do with one of the most formerly most

869
00:47:34,640 --> 00:47:38,280
Speaker 1: powerful figures in the United States government. Well, Elizabeth Carlisle

870
00:47:38,400 --> 00:47:43,600
Speaker 1: is an alias for the former Attorney General Loretta Lynch,

871
00:47:44,280 --> 00:47:48,600
Speaker 1: an alias that she used in emails about official business

872
00:47:48,680 --> 00:47:51,239
Speaker 1: supporting here on Fox, also on the Daily Caller and

873
00:47:51,280 --> 00:47:54,680
Speaker 1: some other sites earlier today. Uh, and this is a

874
00:47:54,680 --> 00:47:58,919
Speaker 1: result of Judicial Watch and the American Center for Law

875
00:47:59,080 --> 00:48:03,160
Speaker 1: and Justice the a c l J. They decided to

876
00:48:03,360 --> 00:48:07,719
Speaker 1: get their hands on some correspondence right these are these

877
00:48:07,719 --> 00:48:10,319
Speaker 1: are official government records, and so they wanted to get

878
00:48:10,360 --> 00:48:13,239
Speaker 1: it and they did. Then here's what we found out.

879
00:48:13,320 --> 00:48:19,920
Speaker 1: Loretta Lynch use the alias Elizabeth Carlile for official emails

880
00:48:20,000 --> 00:48:24,160
Speaker 1: as Attorney General, including those related to her infamous tarmac

881
00:48:24,200 --> 00:48:28,320
Speaker 1: meeting last summer with former President Clinton. Emails were included

882
00:48:28,360 --> 00:48:32,440
Speaker 1: in four hundred and thirteen pages of Justice Department documents

883
00:48:32,440 --> 00:48:35,920
Speaker 1: provided to conservative watchdog groups Judicial Watch and the a

884
00:48:36,000 --> 00:48:40,680
Speaker 1: c l J. Top federal officials using email aliases is

885
00:48:40,719 --> 00:48:46,520
Speaker 1: not illegal or new um considering others in the former

886
00:48:46,560 --> 00:48:50,160
Speaker 1: Obama administration also used them, arguing security concerns and spam

887
00:48:50,200 --> 00:48:54,120
Speaker 1: to their official email addresses, swamp their inboxes. I didn't

888
00:48:54,120 --> 00:48:57,520
Speaker 1: know this. Eric Holder, who was obviously the predecessor of

889
00:48:57,840 --> 00:49:04,680
Speaker 1: Loretta Lynch as Attorney General, used the use the um

890
00:49:05,719 --> 00:49:09,320
Speaker 1: alias lu Al Cinder, which was what Kareem Abdul Jabbar,

891
00:49:09,600 --> 00:49:13,600
Speaker 1: the NBA basketball superstar, that was his name before he

892
00:49:13,680 --> 00:49:16,920
Speaker 1: changed it. And then of course you had Lois Learner,

893
00:49:16,960 --> 00:49:22,680
Speaker 1: the I R. S official. She used the alias Toby Miles,

894
00:49:22,680 --> 00:49:28,040
Speaker 1: which I don't know what that is. But anyway, why

895
00:49:28,120 --> 00:49:30,319
Speaker 1: would somebody Let's just ask the question, right, why would

896
00:49:30,320 --> 00:49:34,120
Speaker 1: you do this your government official? Why? And I understand

897
00:49:34,120 --> 00:49:38,359
Speaker 1: they're saying it's not illegal. Okay, fine, but what's the

898
00:49:38,400 --> 00:49:41,279
Speaker 1: purpose of it? And they say that it's because of

899
00:49:41,320 --> 00:49:45,880
Speaker 1: spam to their inboxes. Sorry, I'm not buying that. So

900
00:49:47,000 --> 00:49:49,040
Speaker 1: that let's let's get a bit, let's get a bit

901
00:49:49,080 --> 00:49:52,360
Speaker 1: beyond that fantasy as to why this is happening. And

902
00:49:52,360 --> 00:49:55,840
Speaker 1: are we really supposed to think that, oh, Lois Learner

903
00:49:55,920 --> 00:49:59,279
Speaker 1: did this, and uh, Eric Holder did this and the

904
00:49:59,320 --> 00:50:03,799
Speaker 1: red A Lynch did this? You know, just because those

905
00:50:03,800 --> 00:50:09,600
Speaker 1: are some of the most uh, politically well sensitive, isn't

906
00:50:09,640 --> 00:50:11,719
Speaker 1: really the right world, right, there's some of the people

907
00:50:11,760 --> 00:50:14,680
Speaker 1: at the center of the political storm of the previous administration.

908
00:50:14,719 --> 00:50:16,760
Speaker 1: I mean, obviously with Loretta Lynch, you've got the person

909
00:50:16,800 --> 00:50:21,120
Speaker 1: who met with Bill Clinton on the tarmac days before

910
00:50:21,160 --> 00:50:24,840
Speaker 1: the announcement about Hillary and said that, you know, she

911
00:50:24,960 --> 00:50:29,520
Speaker 1: regretted the decision but never refused yourself. Mind. You see,

912
00:50:29,520 --> 00:50:31,319
Speaker 1: that's how the Democrats play the game. I've been telling

913
00:50:31,360 --> 00:50:34,439
Speaker 1: you this, That's how the Democrats. That's how they get down.

914
00:50:34,440 --> 00:50:39,080
Speaker 1: They they want to win. They'll they'll lie, cheat, and

915
00:50:39,120 --> 00:50:41,600
Speaker 1: still they want to win. Republicans are you know where

916
00:50:41,640 --> 00:50:44,200
Speaker 1: the boy scouts. We're gonna do the right thing, Okay,

917
00:50:44,200 --> 00:50:46,680
Speaker 1: but you can do the right thing and you can

918
00:50:46,719 --> 00:50:48,359
Speaker 1: lose the game. And if you lose the game, I'm

919
00:50:48,400 --> 00:50:49,960
Speaker 1: not sure they doing the right thing is always the

920
00:50:50,040 --> 00:50:52,440
Speaker 1: right move. I am just saying. I know that the

921
00:50:52,520 --> 00:50:56,160
Speaker 1: ends don't justify the means, but maybe I'm saying sometimes

922
00:50:56,160 --> 00:51:00,520
Speaker 1: they do, uh, Lynch, And I know that's a moral fallacy,

923
00:51:00,600 --> 00:51:02,360
Speaker 1: and people are gonna say, you talk about ethics and

924
00:51:02,400 --> 00:51:04,040
Speaker 1: then you see the ends. Just fun, I know, I know,

925
00:51:04,880 --> 00:51:08,439
Speaker 1: I'm just having fun here, but yeah, Lynch loses used

926
00:51:08,480 --> 00:51:12,120
Speaker 1: this name Elizabeth Carlisle for official documents. I mean, the

927
00:51:12,200 --> 00:51:16,360
Speaker 1: much more, much more likely explanation for why she would

928
00:51:16,360 --> 00:51:20,600
Speaker 1: do this is that by using an alias in your

929
00:51:20,800 --> 00:51:25,319
Speaker 1: official work correspondence, it is much more likely. It is

930
00:51:25,360 --> 00:51:33,480
Speaker 1: it is certainly possible that you will um avoid foya right,

931
00:51:33,560 --> 00:51:36,240
Speaker 1: that that they won't when they do there their sweep

932
00:51:36,320 --> 00:51:38,759
Speaker 1: of all the different communications that they're trying to get

933
00:51:39,400 --> 00:51:44,759
Speaker 1: access to, it is likely that they will not uh well,

934
00:51:44,840 --> 00:51:47,719
Speaker 1: not likely, but it's possible they will not get the

935
00:51:47,880 --> 00:51:51,480
Speaker 1: story that you want them to get because you've used

936
00:51:51,480 --> 00:51:54,560
Speaker 1: a different name. It just it just strikes me, is

937
00:51:54,640 --> 00:51:56,680
Speaker 1: that's a much more and by the way that she

938
00:51:56,840 --> 00:52:03,040
Speaker 1: used an alias, specifically in convert communications regarding that tarmac meeting.

939
00:52:03,880 --> 00:52:07,680
Speaker 1: Are we to think that's a coincidence? Right? Are we coincidence? Dearists? Now,

940
00:52:08,600 --> 00:52:12,600
Speaker 1: oh yeah, sure, you know, it's just like she just

941
00:52:12,719 --> 00:52:15,120
Speaker 1: do was that was the thing that she decided to

942
00:52:15,200 --> 00:52:18,040
Speaker 1: use the you know areas for because you know where

943
00:52:18,040 --> 00:52:21,439
Speaker 1: I at. No, I don't think that that's I don't

944
00:52:21,440 --> 00:52:25,160
Speaker 1: think that that really passes the smell test. I think

945
00:52:25,200 --> 00:52:28,799
Speaker 1: there's clearly something, clearly something shady was going on here.

946
00:52:28,880 --> 00:52:33,120
Speaker 1: Now it's it's not illegal. But that then raises the

947
00:52:33,160 --> 00:52:36,600
Speaker 1: other question, why aren't we invested? Why are we getting

948
00:52:36,600 --> 00:52:40,680
Speaker 1: investigation of this? You know, private citizens for all sorts

949
00:52:40,680 --> 00:52:45,319
Speaker 1: of federal crimes, are you know, you're subject to investigation

950
00:52:45,360 --> 00:52:48,239
Speaker 1: and prosecution for for most federal crimes, I think it's

951
00:52:48,239 --> 00:52:51,280
Speaker 1: at least ten years, and for some it's like twenty

952
00:52:51,360 --> 00:52:53,680
Speaker 1: or twenty five. But for most of them it's at

953
00:52:53,760 --> 00:52:55,960
Speaker 1: least ten years. I mean, for your basic running the

954
00:52:56,000 --> 00:52:59,920
Speaker 1: middle federal crime, it's ten years. And so why is

955
00:53:00,040 --> 00:53:03,759
Speaker 1: it that because this happened on the previous administration, all

956
00:53:03,800 --> 00:53:08,000
Speaker 1: of it is untouchable. You know, I understand that this

957
00:53:08,040 --> 00:53:11,320
Speaker 1: would open up some pretty deep political wounds in the country,

958
00:53:11,840 --> 00:53:13,640
Speaker 1: but how much more wounded. Are we really going to

959
00:53:13,719 --> 00:53:15,680
Speaker 1: get them? We already are. When it comes to politics,

960
00:53:16,239 --> 00:53:18,319
Speaker 1: I mean, the Democrat Party right now is running on

961
00:53:18,440 --> 00:53:22,000
Speaker 1: a They're not all all open about it, but a

962
00:53:22,000 --> 00:53:26,279
Speaker 1: lot of them are. Uh. They are running on a

963
00:53:26,560 --> 00:53:31,040
Speaker 1: destroy this president platform, not a hey, put us in charge,

964
00:53:31,040 --> 00:53:33,360
Speaker 1: we'll do a better job platform and just just destroy

965
00:53:33,440 --> 00:53:36,239
Speaker 1: Trump and we'll figure out the rest later. When you

966
00:53:36,320 --> 00:53:39,000
Speaker 1: got Maxine Waters out there saying that the leakers, you know,

967
00:53:39,239 --> 00:53:40,920
Speaker 1: she she is all about the lead. She think the

968
00:53:41,000 --> 00:53:45,480
Speaker 1: leaguers are great. If the people around you are leaking

969
00:53:45,520 --> 00:53:47,439
Speaker 1: in the way that they're doing, they're trying to tell

970
00:53:47,520 --> 00:53:51,200
Speaker 1: us something. Of course, we don't want classified information leaked out,

971
00:53:51,400 --> 00:53:53,000
Speaker 1: and I don't think they would do that with a

972
00:53:53,040 --> 00:53:56,719
Speaker 1: credible president. They're doing that to this president because he

973
00:53:56,760 --> 00:54:00,600
Speaker 1: has defined himself as someone who cannot be trust someone

974
00:54:00,640 --> 00:54:03,239
Speaker 1: who's going to get this country in trouble. And so

975
00:54:03,520 --> 00:54:07,920
Speaker 1: I welcome the leaks. I welcome the information that keeps

976
00:54:08,000 --> 00:54:11,759
Speaker 1: us focused on him and talking about what's wrong with him.

977
00:54:11,920 --> 00:54:14,040
Speaker 1: You're talking without the end justifying the means. Notice how

978
00:54:14,120 --> 00:54:15,880
Speaker 1: here's a member of Congress. She says, you know, we

979
00:54:15,880 --> 00:54:18,400
Speaker 1: don't want classified information out there but I mean, I

980
00:54:18,440 --> 00:54:21,520
Speaker 1: really hate Trump. So classified information that hurts Trump, that's fine.

981
00:54:21,800 --> 00:54:24,320
Speaker 1: I mean, and she doesn't without even missing without missing

982
00:54:24,320 --> 00:54:27,120
Speaker 1: a beat. I mean, she goes right to it, just

983
00:54:27,160 --> 00:54:29,239
Speaker 1: switches from one to the other. Yeah, classified information, we

984
00:54:29,280 --> 00:54:31,160
Speaker 1: gotta keep that secret. Except if it hurts Trump, then

985
00:54:31,160 --> 00:54:35,200
Speaker 1: it's cool. That's with the rattitude about everything. And I

986
00:54:35,320 --> 00:54:38,800
Speaker 1: think that since that is the attitude, we shouldn't worry

987
00:54:38,920 --> 00:54:43,680
Speaker 1: about what it will look like. We should investigate more

988
00:54:43,719 --> 00:54:46,080
Speaker 1: about what happened with the red of led Hillary Bill.

989
00:54:46,640 --> 00:54:48,719
Speaker 1: Was there any collusion there? I think we should we

990
00:54:48,719 --> 00:54:51,520
Speaker 1: should check it out. I think the Department of Justice should.

991
00:54:52,160 --> 00:54:56,880
Speaker 1: It is the policy of this administration to dismantle, decimate,

992
00:54:57,360 --> 00:55:03,800
Speaker 1: and eradicate MS thirteen that are threatening so violently are people.

993
00:55:04,360 --> 00:55:07,919
Speaker 1: We will find you, we will arrest you, we will

994
00:55:08,000 --> 00:55:14,280
Speaker 1: jail you, and we will deport. President Trump has made

995
00:55:14,440 --> 00:55:18,399
Speaker 1: dealing with MS thirteen an important agenda item. But what

996
00:55:18,440 --> 00:55:21,919
Speaker 1: do we know about this group? We're joined now by

997
00:55:22,280 --> 00:55:25,200
Speaker 1: Eric Olsen to answer that question. He's Deputy director of

998
00:55:25,239 --> 00:55:28,440
Speaker 1: the Latin America Program at the Wilson Center. His research

999
00:55:28,480 --> 00:55:31,239
Speaker 1: and writing has focused on organized crime and is He

1000
00:55:31,320 --> 00:55:35,359
Speaker 1: is frequently quoted as an MS thirteen expert. Uh, Eric,

1001
00:55:35,360 --> 00:55:37,719
Speaker 1: great to have you on, Hey, glad to be with

1002
00:55:37,760 --> 00:55:40,200
Speaker 1: you book. All right, just give us some background. I mean,

1003
00:55:40,200 --> 00:55:42,279
Speaker 1: if someone has just heard of m S thirteen knows

1004
00:55:42,320 --> 00:55:44,600
Speaker 1: nothing about them other than they're a really bad Latin

1005
00:55:44,680 --> 00:55:49,319
Speaker 1: American gang, where do they come from? Tell us the backstory? Well,

1006
00:55:49,600 --> 00:55:52,160
Speaker 1: M S for to begin with his stance for Mada

1007
00:55:52,239 --> 00:55:57,440
Speaker 1: s la trucca, which is UH slang word for Salvadoran.

1008
00:55:57,600 --> 00:56:00,920
Speaker 1: So that tells you right there that its origins are

1009
00:56:00,960 --> 00:56:06,760
Speaker 1: in the Salvadoran uh community. Uh. Mostly their origins are

1010
00:56:06,800 --> 00:56:11,040
Speaker 1: in the exile community people who are fleeing civil war

1011
00:56:11,280 --> 00:56:14,600
Speaker 1: in in El Salvador during the nineteen eighties. Many of

1012
00:56:14,640 --> 00:56:18,080
Speaker 1: them ended up in Los Angeles and even in the

1013
00:56:18,200 --> 00:56:22,279
Speaker 1: neighborhoods of the Ramparts and others in East l A.

1014
00:56:23,160 --> 00:56:28,920
Speaker 1: And those Salvadoran families and and people had young kids

1015
00:56:29,000 --> 00:56:32,880
Speaker 1: who uh really faced a lot of crime and violence

1016
00:56:32,920 --> 00:56:37,160
Speaker 1: from other gangs. Uh. Other Latino gangs are the Mexican gangs,

1017
00:56:37,200 --> 00:56:41,040
Speaker 1: all the African American gangs, and so to defend themselves,

1018
00:56:41,120 --> 00:56:44,520
Speaker 1: little by little, they ended up forming a variety of gangs,

1019
00:56:44,520 --> 00:56:48,160
Speaker 1: not just the MS thirteen, but I guess MS thirteen

1020
00:56:48,200 --> 00:56:51,719
Speaker 1: has become the most notorious. So that's point number one.

1021
00:56:51,760 --> 00:56:55,239
Speaker 1: It's in Salvador, in its origins are in l A

1022
00:56:56,160 --> 00:56:58,919
Speaker 1: by and large. And then how did they get back

1023
00:56:58,920 --> 00:57:01,600
Speaker 1: to El Salvador. That's the other part of the story

1024
00:57:01,680 --> 00:57:05,080
Speaker 1: that that the US and a crackdown on on on

1025
00:57:05,440 --> 00:57:09,200
Speaker 1: undocumented migrants and and obviously gang members who were committing

1026
00:57:09,280 --> 00:57:14,480
Speaker 1: violence began deporting them, you know, quite uh massively in

1027
00:57:14,520 --> 00:57:18,400
Speaker 1: the late nineteen eighties and throughout the nineteen nineties, a

1028
00:57:18,440 --> 00:57:21,440
Speaker 1: lot of these gang members were being sent back to

1029
00:57:21,480 --> 00:57:24,320
Speaker 1: El Salvador, which might have been their country of origin,

1030
00:57:24,400 --> 00:57:28,520
Speaker 1: but they didn't really have a lot of context or

1031
00:57:28,600 --> 00:57:33,920
Speaker 1: family and other social networks. So again, to protect themselves,

1032
00:57:34,040 --> 00:57:37,800
Speaker 1: they started to recreate what are called cliques or they're

1033
00:57:37,880 --> 00:57:42,040
Speaker 1: small groups of gangs and re uh start up their

1034
00:57:42,080 --> 00:57:44,920
Speaker 1: gang activity in El Salvador. And now you're in a

1035
00:57:45,040 --> 00:57:50,240
Speaker 1: situation a country that was wholly unprepared to receive these

1036
00:57:50,960 --> 00:57:53,520
Speaker 1: gang members back. The US did not do a good

1037
00:57:53,600 --> 00:57:58,760
Speaker 1: job of letting the Salvadoran authorities know that they were returning,

1038
00:57:59,360 --> 00:58:02,280
Speaker 1: and they're really wasn't much of a plan to reintegrate them,

1039
00:58:02,360 --> 00:58:07,480
Speaker 1: so they uh not only reconfigured into their cliques, but

1040
00:58:07,680 --> 00:58:11,400
Speaker 1: also blossom and grew and and since there were not

1041
00:58:11,480 --> 00:58:14,720
Speaker 1: a lot of economic alternatives for them, it became a

1042
00:58:14,760 --> 00:58:19,480
Speaker 1: source of livelihood for many young people UH in El Salvador.

1043
00:58:19,840 --> 00:58:22,560
Speaker 1: That was in the nine nineties, and since then, of course,

1044
00:58:23,400 --> 00:58:28,000
Speaker 1: new generations, new numbers of young people have have incorporated,

1045
00:58:28,040 --> 00:58:32,080
Speaker 1: and it's spread beyond El Salvador into other countries. Now,

1046
00:58:32,080 --> 00:58:34,680
Speaker 1: the thirteen and M S thirteen is supposed to come

1047
00:58:34,760 --> 00:58:37,240
Speaker 1: from the thirteenth letter of the alphabet, which is M,

1048
00:58:37,280 --> 00:58:43,240
Speaker 1: so that's the Mara. But tell me about La la Harmonda. Well,

1049
00:58:43,320 --> 00:58:48,320
Speaker 1: these are other groups with of salvadoran UH gang members

1050
00:58:48,520 --> 00:58:52,919
Speaker 1: M and that means brotherhood UH. And these are other

1051
00:58:53,040 --> 00:58:56,920
Speaker 1: gang groups that have formed, often in reaction to and

1052
00:58:56,960 --> 00:59:03,240
Speaker 1: to protect themselves from the the violence of of another

1053
00:59:03,600 --> 00:59:09,360
Speaker 1: gang group. So UM there are several Kaya or Barriocho

1054
00:59:09,920 --> 00:59:14,280
Speaker 1: was another one formed in in UH in l A

1055
00:59:14,440 --> 00:59:18,440
Speaker 1: and has been blossomed and growing throughout Central America. And

1056
00:59:18,520 --> 00:59:21,920
Speaker 1: over time, as governments in Central America have sought to

1057
00:59:21,960 --> 00:59:27,160
Speaker 1: crack down on them, UH, these groups fracture, they separate,

1058
00:59:28,000 --> 00:59:32,480
Speaker 1: UH and they do form their own UM gangs to

1059
00:59:32,560 --> 00:59:38,520
Speaker 1: try to defend themselves. Conflicts always emerge amongst gangs as well. Uh,

1060
00:59:38,560 --> 00:59:41,680
Speaker 1: and so sometimes we see the gangs split up and

1061
00:59:41,800 --> 00:59:49,520
Speaker 1: become uh uh competing groups, both for the economic control

1062
00:59:49,680 --> 00:59:54,040
Speaker 1: of their neighborhoods, but also uh to protect themselves. Speaking

1063
00:59:54,040 --> 00:59:57,040
Speaker 1: to Eric Olson's, deputy director of Latin American Program at

1064
00:59:57,080 --> 01:00:01,000
Speaker 1: the Wilson Center, he's an MS thirteen expert. How does

1065
01:00:01,120 --> 01:00:02,960
Speaker 1: MS there? First of all, where is it? I've got

1066
01:00:03,000 --> 01:00:04,720
Speaker 1: two questions. I'll throw them both out to you because

1067
01:00:04,720 --> 01:00:07,080
Speaker 1: we're we've only got a couple of minutes left. Um,

1068
01:00:07,680 --> 01:00:10,200
Speaker 1: where are they most active in the United States? And

1069
01:00:10,280 --> 01:00:15,000
Speaker 1: in terms of their reach and uh the criminal activity

1070
01:00:15,000 --> 01:00:17,640
Speaker 1: they're responsible foremost notably their violence. How do they stack

1071
01:00:17,720 --> 01:00:22,959
Speaker 1: up against the better known Mexican drug cartels. Well, they're

1072
01:00:23,080 --> 01:00:26,120
Speaker 1: their reach is of course back to their origins on

1073
01:00:26,200 --> 01:00:29,320
Speaker 1: the West Coast in California in particular, but they have

1074
01:00:29,560 --> 01:00:34,400
Speaker 1: spread to other cities where that have high uh numbers

1075
01:00:34,480 --> 01:00:38,400
Speaker 1: of Salvadoran migrants uh Houston, in parts of Texas, and

1076
01:00:38,520 --> 01:00:41,720
Speaker 1: now on the East coast as well. Uh. We have

1077
01:00:42,040 --> 01:00:46,480
Speaker 1: MS thirteen very active in and around the Washington d C. Area,

1078
01:00:46,520 --> 01:00:49,920
Speaker 1: in Philadelphia, New York, Boston, all the way up into

1079
01:00:49,920 --> 01:00:54,760
Speaker 1: New England. So wherever there's Salvadoran communities of migrants, uh

1080
01:00:55,200 --> 01:01:01,040
Speaker 1: they're they're often is also uh MS thirteen folks there. Um.

1081
01:01:01,360 --> 01:01:05,320
Speaker 1: They have grown enormously. There's an estimated ten thousand of

1082
01:01:05,400 --> 01:01:08,280
Speaker 1: them in the United States, which seems like a big number,

1083
01:01:08,400 --> 01:01:10,880
Speaker 1: but you know, obviously spread across the United States is

1084
01:01:11,000 --> 01:01:15,200
Speaker 1: not that large. They're very violent, um and there they

1085
01:01:15,240 --> 01:01:19,360
Speaker 1: are arrival to other gangs like the Mexican gangs, in

1086
01:01:19,440 --> 01:01:23,680
Speaker 1: the African American gangs in certain cities. They still aren't

1087
01:01:24,000 --> 01:01:28,640
Speaker 1: as big and as uh you know, consolidated organizationally as

1088
01:01:28,680 --> 01:01:32,560
Speaker 1: some of these other historic gangs, but they are important

1089
01:01:32,720 --> 01:01:35,680
Speaker 1: and they seem, more than anything been willing to carry

1090
01:01:35,720 --> 01:01:40,240
Speaker 1: out extraordinarily violent revenge killings. And I think that's one

1091
01:01:40,280 --> 01:01:43,800
Speaker 1: of the reasons why they've gotten the attention of the

1092
01:01:44,080 --> 01:01:46,640
Speaker 1: Trump administration. What do we have a sense of of

1093
01:01:46,760 --> 01:01:49,720
Speaker 1: how many we're speaking about ms their team with Eric

1094
01:01:49,800 --> 01:01:54,080
Speaker 1: Olsen of the Wilson Center, Derek, how many homicides are

1095
01:01:54,160 --> 01:01:57,960
Speaker 1: they are they responsible for? Are we able to gauge that?

1096
01:01:58,080 --> 01:02:00,400
Speaker 1: I mean, what's the scope and scale of the problem.

1097
01:02:00,520 --> 01:02:04,800
Speaker 1: The President has made them a priority for law enforcement efforts. Well,

1098
01:02:04,840 --> 01:02:07,640
Speaker 1: you know, it's not so much the numbers because in

1099
01:02:07,760 --> 01:02:13,120
Speaker 1: sheer volume it's not uh so much uh larger than

1100
01:02:13,440 --> 01:02:16,600
Speaker 1: than carried out by other gangs. But it's been more

1101
01:02:16,760 --> 01:02:21,560
Speaker 1: the visibility and the sort of brutality of it, the

1102
01:02:21,760 --> 01:02:24,600
Speaker 1: killing of of young people. There was a young woman

1103
01:02:25,320 --> 01:02:27,840
Speaker 1: uh in in the d C area was raped and

1104
01:02:28,000 --> 01:02:30,800
Speaker 1: murdered and by MS thirteen, And you know, it was

1105
01:02:30,880 --> 01:02:34,760
Speaker 1: the shock factor more than anything. And that's something we

1106
01:02:34,880 --> 01:02:38,040
Speaker 1: have to keep in mind, that that they seem willing

1107
01:02:38,160 --> 01:02:43,800
Speaker 1: to carry out really gruesome attacks. Um they're not you know,

1108
01:02:44,280 --> 01:02:49,080
Speaker 1: more violent, committing more murders and other um gangs, but

1109
01:02:49,480 --> 01:02:52,720
Speaker 1: they have been willing to carry out these brutal killings.

1110
01:02:52,760 --> 01:02:56,919
Speaker 1: Are are there any particular Are there any particular practices

1111
01:02:57,400 --> 01:03:02,640
Speaker 1: or sort of you know, intro gang cultural behaviors that

1112
01:03:02,760 --> 01:03:04,680
Speaker 1: they engage in that are noteworthy. I mean, you know,

1113
01:03:04,720 --> 01:03:08,240
Speaker 1: if some gangs were certain colors, some gangs have certain initiations.

1114
01:03:08,600 --> 01:03:13,000
Speaker 1: Does MS thirteen have any particular lore around it? Well,

1115
01:03:13,080 --> 01:03:17,080
Speaker 1: you know, they weren't well known for for their tattoos

1116
01:03:17,520 --> 01:03:22,960
Speaker 1: and their variations on MS and thirteen in their tattoos,

1117
01:03:23,080 --> 01:03:28,360
Speaker 1: and historically they even their full body tattoos. But as

1118
01:03:28,520 --> 01:03:31,720
Speaker 1: there have been crackdowns on the MS thirteen in Central

1119
01:03:31,760 --> 01:03:36,360
Speaker 1: America and particularly in El Salvador and Honduras, uh, it's

1120
01:03:36,400 --> 01:03:40,240
Speaker 1: been evident that they have stopped or are using less

1121
01:03:40,440 --> 01:03:44,560
Speaker 1: of those kinds of visible signs of of gang membership

1122
01:03:44,640 --> 01:03:49,040
Speaker 1: and have become much more uh, kind of out of

1123
01:03:49,520 --> 01:03:55,040
Speaker 1: visible site actors. So that actually makes it much more

1124
01:03:55,120 --> 01:03:58,480
Speaker 1: difficult to identify them and take them on. They they're

1125
01:03:58,560 --> 01:04:02,720
Speaker 1: blending in more only with the general population. Now. One

1126
01:04:02,760 --> 01:04:05,720
Speaker 1: of the things they're known for in Salvador and Honduras

1127
01:04:05,880 --> 01:04:10,560
Speaker 1: is what we call territorial control. They seek to control

1128
01:04:10,800 --> 01:04:15,840
Speaker 1: a particular neighborhood, a particular street, and uh extort all

1129
01:04:16,000 --> 01:04:20,520
Speaker 1: economic activity in there. And they um uh such a

1130
01:04:20,600 --> 01:04:24,560
Speaker 1: classic organized organized crime technique. Doctor Erica, We actually have

1131
01:04:24,640 --> 01:04:26,600
Speaker 1: to leave it therat you for this time, but thank

1132
01:04:26,600 --> 01:04:29,120
Speaker 1: you very much, Eric Olsen of the Wilson Center, he's

1133
01:04:29,120 --> 01:04:31,600
Speaker 1: deputy director of Latin America. We're talking to MS their team.

1134
01:04:31,920 --> 01:04:35,720
Speaker 1: Thanks for joining our You're very welcome. The Sanctuary City

1135
01:04:35,880 --> 01:04:40,000
Speaker 1: showdown is upon us. It has been months in the making,

1136
01:04:40,600 --> 01:04:44,400
Speaker 1: and now finally we are starting to see some local

1137
01:04:45,280 --> 01:04:49,880
Speaker 1: government and law enforcement officials who have decided that sure enough,

1138
01:04:50,680 --> 01:04:54,640
Speaker 1: they are going to take this to court. Now, let's

1139
01:04:54,720 --> 01:04:56,520
Speaker 1: just take a step back for a moment and look

1140
01:04:56,560 --> 01:04:59,160
Speaker 1: at what's really going on here. So you've got a

1141
01:04:59,240 --> 01:05:02,480
Speaker 1: bunch of cities. Yeah, the numbers like a roughly three

1142
01:05:02,920 --> 01:05:07,040
Speaker 1: have some and then include towns and localities and you know,

1143
01:05:07,200 --> 01:05:11,120
Speaker 1: quaint villages, you know whatever places across the country that

1144
01:05:11,440 --> 01:05:16,480
Speaker 1: have some form of sanctuary city policy. Now that's not

1145
01:05:16,600 --> 01:05:18,920
Speaker 1: it's not an official thing, right, This is just a

1146
01:05:20,160 --> 01:05:24,760
Speaker 1: a a decision that local law enforcement, local government has

1147
01:05:24,880 --> 01:05:28,920
Speaker 1: made two in some way not do what the federal

1148
01:05:29,000 --> 01:05:34,000
Speaker 1: government is requesting under the Trump administration. And certainly in

1149
01:05:34,360 --> 01:05:39,640
Speaker 1: the case of notification of illegal aliens and custody, it's

1150
01:05:39,680 --> 01:05:42,800
Speaker 1: a matter of congressional statute. Right, there's a law that

1151
01:05:42,880 --> 01:05:45,560
Speaker 1: exists about this. So it's not just like, hey, could

1152
01:05:45,640 --> 01:05:49,200
Speaker 1: you maybe sort of kinda you know, do what I

1153
01:05:49,320 --> 01:05:52,360
Speaker 1: want you to hear. There's also some law. But he

1154
01:05:52,480 --> 01:05:55,200
Speaker 1: got all these sanctuary cities, and we've been talking this,

1155
01:05:55,320 --> 01:05:57,080
Speaker 1: I know on the show. I'm just putting a little

1156
01:05:57,120 --> 01:05:59,000
Speaker 1: bit of context into this, and then we'll get into

1157
01:05:59,120 --> 01:06:02,600
Speaker 1: what happened today. And oh, you've got rama manual and

1158
01:06:02,680 --> 01:06:05,520
Speaker 1: all kinds of stuff going on here right now. So

1159
01:06:06,200 --> 01:06:11,200
Speaker 1: these local jurisdictions have decided the sanctuary cities will just

1160
01:06:11,240 --> 01:06:14,600
Speaker 1: refer to them as that, or these sanctuary cities won't

1161
01:06:14,880 --> 01:06:20,160
Speaker 1: either hold somebody for a period of time while holding

1162
01:06:20,160 --> 01:06:22,920
Speaker 1: a legal alien for a period of time while UH

1163
01:06:23,280 --> 01:06:26,040
Speaker 1: federal law enforcement Immigrations and Customs enforcement can come and

1164
01:06:26,120 --> 01:06:29,200
Speaker 1: get him. In the most extreme cases, they won't even

1165
01:06:29,280 --> 01:06:32,560
Speaker 1: do what is required under a congressionally past federal statute,

1166
01:06:32,600 --> 01:06:37,760
Speaker 1: which is to notify the authorities of the presence of

1167
01:06:37,960 --> 01:06:42,520
Speaker 1: an illegal alien who is in their custody. And that's

1168
01:06:42,600 --> 01:06:44,680
Speaker 1: the that's the most extreme version of this. And then

1169
01:06:44,760 --> 01:06:48,000
Speaker 1: you also have now a new request from the federal Garnment,

1170
01:06:48,040 --> 01:06:50,800
Speaker 1: which is, look, just give us forty eight hours notice

1171
01:06:50,920 --> 01:06:54,400
Speaker 1: before you release this person. Now what does that mean

1172
01:06:54,480 --> 01:06:56,720
Speaker 1: for somebody who is in custody, who's only going to

1173
01:06:56,760 --> 01:07:00,040
Speaker 1: be in custody for twenty four hours? How can you

1174
01:07:00,040 --> 01:07:01,920
Speaker 1: get forty eight hours note? And so you know that

1175
01:07:02,000 --> 01:07:04,720
Speaker 1: there's some logistical issues, some back and forth that are

1176
01:07:04,800 --> 01:07:08,480
Speaker 1: certainly going to come into play here. But for right now,

1177
01:07:09,240 --> 01:07:13,200
Speaker 1: here's the here's this day of play. Ra Manual, former

1178
01:07:13,280 --> 01:07:16,000
Speaker 1: chief of staff for President Obama. You want to call

1179
01:07:16,200 --> 01:07:19,240
Speaker 1: Rama Manual had quite the potty mouth in his day

1180
01:07:19,320 --> 01:07:22,840
Speaker 1: and was verbally abusive to staff, but you didn't hear

1181
01:07:22,920 --> 01:07:28,320
Speaker 1: much about the media was very uninterested in covering Rama

1182
01:07:28,440 --> 01:07:33,360
Speaker 1: Manuals uh personal style, shall we say, in that white house.

1183
01:07:34,240 --> 01:07:36,560
Speaker 1: But you got Rob Emanual who's now the mayor of Chicago.

1184
01:07:36,720 --> 01:07:43,560
Speaker 1: Chicago has a homicide rate that is completely out of control.

1185
01:07:43,640 --> 01:07:48,120
Speaker 1: In comparison to other cities. Chicago is way more homicides

1186
01:07:48,880 --> 01:07:51,840
Speaker 1: uh per capita than New York. And New York is

1187
01:07:51,880 --> 01:07:55,919
Speaker 1: a city of eight million, Chicagos like two or three

1188
01:07:56,040 --> 01:08:02,160
Speaker 1: two plus million um, and Chicago is uh, he's got

1189
01:08:02,280 --> 01:08:03,840
Speaker 1: just got way too much violence. There's way too many

1190
01:08:03,840 --> 01:08:05,880
Speaker 1: people getting shot there. And so you think that there

1191
01:08:05,920 --> 01:08:09,880
Speaker 1: would be some willingness to try new law enforcement approaches,

1192
01:08:09,960 --> 01:08:12,560
Speaker 1: to try and come up with some way to deal

1193
01:08:12,720 --> 01:08:18,280
Speaker 1: with this homicide right right, um to you know, in

1194
01:08:18,439 --> 01:08:23,599
Speaker 1: some way work more closely with law enforcement, federal law enforcement,

1195
01:08:23,640 --> 01:08:26,439
Speaker 1: maybe even in order to drop that. Now, do a

1196
01:08:26,520 --> 01:08:29,519
Speaker 1: legal alien are legal aliens committing a lot of the

1197
01:08:29,600 --> 01:08:33,600
Speaker 1: homicides in Chicago? I don't know. I would guess that

1198
01:08:33,680 --> 01:08:38,760
Speaker 1: actually it's not a particularly high proportion, but I'm not sure.

1199
01:08:38,800 --> 01:08:41,880
Speaker 1: I don't know, but we do know that Chicago needs

1200
01:08:41,920 --> 01:08:44,559
Speaker 1: all the help it can get on its law enforcement side.

1201
01:08:44,720 --> 01:08:48,519
Speaker 1: And Chicago also is part of the United States, which

1202
01:08:48,600 --> 01:08:51,599
Speaker 1: means that it should respect federal law enforcement and federal laws.

1203
01:08:52,120 --> 01:08:56,200
Speaker 1: But Rob Emmanuel saying he's going to take the Trump

1204
01:08:56,240 --> 01:08:59,960
Speaker 1: administration to court. This d J. Jeff Sessions, who's hey,

1205
01:09:00,120 --> 01:09:02,680
Speaker 1: he's back, by the ways, you know, Jeff Sessions. He

1206
01:09:02,920 --> 01:09:05,360
Speaker 1: is all good. Now, I told you that would happen.

1207
01:09:05,400 --> 01:09:07,320
Speaker 1: I Trump was not going to get rid of Sessions

1208
01:09:08,160 --> 01:09:14,160
Speaker 1: the Obama administration. I'm sorry. The Trump administration has said

1209
01:09:14,280 --> 01:09:17,840
Speaker 1: now they've finally put some action into the words. The

1210
01:09:17,920 --> 01:09:21,840
Speaker 1: words had been you better be willing to play ball

1211
01:09:21,880 --> 01:09:24,519
Speaker 1: with Immigrations and Customs enforcement. Now that doesn't mean you've

1212
01:09:24,560 --> 01:09:29,200
Speaker 1: got local law enforcement combing through neighborhoods trying to find

1213
01:09:29,240 --> 01:09:31,400
Speaker 1: a legal you know, legal aliens. That's not what happens

1214
01:09:31,400 --> 01:09:34,760
Speaker 1: at all. It just means if somebody is in custody already,

1215
01:09:35,400 --> 01:09:38,280
Speaker 1: so that you're already talking about a very small subset

1216
01:09:38,320 --> 01:09:41,040
Speaker 1: of the overall population, somebody who's already in custody who

1217
01:09:41,120 --> 01:09:43,320
Speaker 1: is an legal alien, they have to let Immigrations and

1218
01:09:43,400 --> 01:09:46,760
Speaker 1: Customs enforcement, No, and then if I says, yeah, we

1219
01:09:46,800 --> 01:09:50,160
Speaker 1: want to apport that person, they'd like them to hold

1220
01:09:50,200 --> 01:09:53,000
Speaker 1: the person until I can come and get him. That's

1221
01:09:53,000 --> 01:09:56,120
Speaker 1: all we're talking about here. There's no one who is advocating.

1222
01:09:56,160 --> 01:09:59,599
Speaker 1: There's no law, there's nothing that says that local police

1223
01:09:59,640 --> 01:10:03,639
Speaker 1: officer are going to have to be acting as immigration cops.

1224
01:10:04,320 --> 01:10:07,920
Speaker 1: It just means that they will be helpful to federal

1225
01:10:08,000 --> 01:10:13,000
Speaker 1: law enforcement authorities who have a lawful immigration enforcement mission.

1226
01:10:13,920 --> 01:10:18,240
Speaker 1: But Chicago, because it's a blue blue blue Democrats stronghold,

1227
01:10:18,280 --> 01:10:22,040
Speaker 1: of course, does not want to help, does not want

1228
01:10:22,080 --> 01:10:27,440
Speaker 1: to play ball on this issue, and is entirely unwilling

1229
01:10:27,920 --> 01:10:30,320
Speaker 1: from what we've seen so far, to change it's it's

1230
01:10:30,360 --> 01:10:32,280
Speaker 1: posture at all. The changes the procedure, it's gonna go

1231
01:10:32,320 --> 01:10:35,479
Speaker 1: to court because the Trump administration has said, look, if

1232
01:10:35,520 --> 01:10:37,560
Speaker 1: you don't do those things we want you to do,

1233
01:10:38,240 --> 01:10:42,600
Speaker 1: we're gonna withhold some federal law enforcement grant money that

1234
01:10:42,760 --> 01:10:45,280
Speaker 1: you use to get you know, fancy new cruisers or

1235
01:10:45,920 --> 01:10:49,400
Speaker 1: whatever it may be, additional communications equipment. And it's a

1236
01:10:49,439 --> 01:10:52,200
Speaker 1: few million dollars now the overall budget of I don't

1237
01:10:52,240 --> 01:10:53,760
Speaker 1: know what it is for the Chicago p D, but

1238
01:10:53,800 --> 01:10:56,800
Speaker 1: I know the NYPD budget is enormous. It's a whole

1239
01:10:56,840 --> 01:10:58,479
Speaker 1: lot more than a few million dollars. A few million

1240
01:10:58,560 --> 01:11:02,599
Speaker 1: dollars even for the Chicago Police Department's budget is pretty small.

1241
01:11:03,439 --> 01:11:06,479
Speaker 1: So it's really not about the money. Although if this proke,

1242
01:11:06,600 --> 01:11:10,960
Speaker 1: if this UH request really more like demand from the

1243
01:11:11,040 --> 01:11:15,679
Speaker 1: administration for different sanctuary jurisdictions who are applying or they're

1244
01:11:15,680 --> 01:11:18,920
Speaker 1: applying for this grant, if this demand were to be

1245
01:11:19,479 --> 01:11:22,720
Speaker 1: extended across the country, it would be a pretty substantial

1246
01:11:22,800 --> 01:11:25,479
Speaker 1: chunk of change that the federal government would not be

1247
01:11:25,560 --> 01:11:28,040
Speaker 1: giving for law enforcement efforts in these areas. And I

1248
01:11:28,120 --> 01:11:30,200
Speaker 1: do understand that the argument here is, so you're gonna

1249
01:11:30,320 --> 01:11:34,640
Speaker 1: punish lawlessness with less law enforcement funds. That may not

1250
01:11:34,800 --> 01:11:38,680
Speaker 1: be the most effective, most effective approach, but you know,

1251
01:11:38,760 --> 01:11:41,080
Speaker 1: the federal government has to have some sticks and some

1252
01:11:41,280 --> 01:11:43,920
Speaker 1: carrots here asked to try to do something. And so

1253
01:11:44,120 --> 01:11:46,639
Speaker 1: Ram Emmanuel Mayor of Chicago is fighting back and saying

1254
01:11:46,680 --> 01:11:49,599
Speaker 1: that this is unconstant, or you know, it's unconstitutional, it's

1255
01:11:49,600 --> 01:11:52,920
Speaker 1: a violation of Chicago's tenth tament rights or whatever it

1256
01:11:53,000 --> 01:11:55,360
Speaker 1: may be. Also, I think there'll be some argument that

1257
01:11:55,479 --> 01:11:58,880
Speaker 1: because they were approved for this under the Obama administration.

1258
01:11:59,040 --> 01:12:02,320
Speaker 1: It's not within the DJ's authority to pull back federal

1259
01:12:02,400 --> 01:12:04,559
Speaker 1: funds that were already marked for Chicago. You know, there

1260
01:12:04,600 --> 01:12:09,320
Speaker 1: could go any number of different directions as a legal argument,

1261
01:12:09,800 --> 01:12:13,440
Speaker 1: but as a political argument, here's where it stands. Democrat

1262
01:12:13,640 --> 01:12:17,600
Speaker 1: urban strongholds New York, Chicago, l A, San Francisco, and

1263
01:12:17,800 --> 01:12:23,559
Speaker 1: more are now completely unwilling to change at all when

1264
01:12:23,600 --> 01:12:29,000
Speaker 1: it comes to immigration because they have such substantial populations

1265
01:12:29,320 --> 01:12:33,040
Speaker 1: of immigrants who view this as a knock on them,

1266
01:12:33,160 --> 01:12:35,880
Speaker 1: even though even if they're legal immigrants, right, and so

1267
01:12:36,000 --> 01:12:39,800
Speaker 1: it's a very heated issue politically. Um, but that's not

1268
01:12:39,880 --> 01:12:41,639
Speaker 1: to say that there won't be some places where we'll

1269
01:12:41,680 --> 01:12:44,679
Speaker 1: get changed. In fact, I see just now breaking today

1270
01:12:45,640 --> 01:12:48,759
Speaker 1: you have the Miami Herald reporting that the Miami Dade

1271
01:12:49,240 --> 01:12:55,840
Speaker 1: County complied with Trump to change its sanctuary status for

1272
01:12:55,920 --> 01:12:58,920
Speaker 1: the first time since it began extending the detentions of

1273
01:12:59,040 --> 01:13:03,360
Speaker 1: local inmates sought for deportation. Miami Dade County received word

1274
01:13:03,439 --> 01:13:06,080
Speaker 1: from Washington that it won't be treated as a community

1275
01:13:06,120 --> 01:13:09,960
Speaker 1: giving sanctuary to immigration violators. An August fourth letter to

1276
01:13:10,120 --> 01:13:14,320
Speaker 1: Mayor Carlos Jim naz Uh from the Justice Department said

1277
01:13:14,360 --> 01:13:16,960
Speaker 1: there was no evidence Miami Dad was out of compliance

1278
01:13:17,320 --> 01:13:19,960
Speaker 1: with an immigration provision of a federal police grant worth

1279
01:13:19,960 --> 01:13:22,519
Speaker 1: about four eighty thousand dollars this year to the county.

1280
01:13:23,280 --> 01:13:25,720
Speaker 1: So you know, Miami Dad has already shifted policy a

1281
01:13:25,760 --> 01:13:27,439
Speaker 1: little bit. I mean, this is you know, it's not

1282
01:13:27,640 --> 01:13:30,240
Speaker 1: that much money we're talking about for these places, but

1283
01:13:30,400 --> 01:13:33,800
Speaker 1: it also then puts pressure on that police chief and

1284
01:13:33,880 --> 01:13:37,559
Speaker 1: that mayor that city council, whichever one we're talking about here, Well,

1285
01:13:37,680 --> 01:13:40,120
Speaker 1: why are you so willing to violate the law here?

1286
01:13:40,120 --> 01:13:43,880
Speaker 1: Why are you so willing to be so um complicit

1287
01:13:43,920 --> 01:13:46,240
Speaker 1: in all this? So anyway, team, they're calling it an

1288
01:13:46,280 --> 01:13:52,000
Speaker 1: anti diversity screed. It is a ten page memo. If

1289
01:13:52,080 --> 01:13:54,760
Speaker 1: you're a Jerry McGuire fan, perhaps you'd say it's a

1290
01:13:54,880 --> 01:13:58,760
Speaker 1: mission statement. But it's a ten page memo from an

1291
01:13:58,840 --> 01:14:05,560
Speaker 1: engineer inside of Google that has completely freaked out the

1292
01:14:05,760 --> 01:14:09,519
Speaker 1: Silicon Valley progressive set. For those of you who don't know,

1293
01:14:10,680 --> 01:14:12,920
Speaker 1: which maybe a few of you, because you've got other

1294
01:14:13,000 --> 01:14:18,000
Speaker 1: things to focus your time on. Google, Facebook, these Internet

1295
01:14:18,200 --> 01:14:24,439
Speaker 1: mega companies are absolutely full at the leadership level of

1296
01:14:25,640 --> 01:14:29,200
Speaker 1: far left progressives. I mean they I think you could

1297
01:14:29,240 --> 01:14:33,120
Speaker 1: make a case that the leadership of some of these

1298
01:14:33,160 --> 01:14:37,040
Speaker 1: Internet companies, are these major Internet companies is in fact

1299
01:14:37,320 --> 01:14:42,320
Speaker 1: more left wing overall then the media is, which I

1300
01:14:42,600 --> 01:14:44,760
Speaker 1: know you're probably thinking, Buck, that's that's crazy, that's not

1301
01:14:44,840 --> 01:14:48,479
Speaker 1: even possible. Oh no, my friends, I'm telling you because

1302
01:14:48,520 --> 01:14:54,240
Speaker 1: they're also evangelists, and their power is increasing. The traditional

1303
01:14:54,400 --> 01:14:59,160
Speaker 1: old school mainstream media is losing power all the time,

1304
01:14:59,360 --> 01:15:02,280
Speaker 1: and that's part of I think they're desperation and part

1305
01:15:02,320 --> 01:15:05,479
Speaker 1: of their animosity towards Trump. That's one of the reasons

1306
01:15:05,520 --> 01:15:08,880
Speaker 1: they hate Trump so much, because Trump is hastening along,

1307
01:15:09,040 --> 01:15:14,840
Speaker 1: he is speeding up the decline. And that's with a

1308
01:15:14,880 --> 01:15:16,960
Speaker 1: whole bunch of other reasons why they really don't like him.

1309
01:15:17,560 --> 01:15:21,200
Speaker 1: But the facebooks and the Twitters and the Googles of

1310
01:15:21,280 --> 01:15:26,240
Speaker 1: the world, um and Amazon of course, are becoming much

1311
01:15:26,320 --> 01:15:30,000
Speaker 1: more powerful with each passing year, and they're really now

1312
01:15:30,160 --> 01:15:32,080
Speaker 1: going to be in a position to buy up as

1313
01:15:32,120 --> 01:15:35,760
Speaker 1: we've seen with Amazon and the Washington Post, and who

1314
01:15:35,880 --> 01:15:39,639
Speaker 1: knows what other major Internet companies are gonna be picking

1315
01:15:39,720 --> 01:15:43,880
Speaker 1: up media properties and owning them so their reach and

1316
01:15:44,040 --> 01:15:49,680
Speaker 1: their ability to propaganda eze and be powerful players in

1317
01:15:49,880 --> 01:15:56,160
Speaker 1: the ideological wars to come in this country. Are ideological battles.

1318
01:15:56,280 --> 01:15:59,040
Speaker 1: We could say that's only it's only gonna get stronger.

1319
01:15:59,800 --> 01:16:02,360
Speaker 1: And so when you see some of these, and we

1320
01:16:02,400 --> 01:16:05,240
Speaker 1: should also note that they're they're pretty vicious. Sometimes out

1321
01:16:05,280 --> 01:16:08,719
Speaker 1: in Silicon Valley, that's where you had the former CEO

1322
01:16:08,960 --> 01:16:14,280
Speaker 1: of Mozilla ousted from his job, fired from his job, humiliated,

1323
01:16:14,920 --> 01:16:19,120
Speaker 1: run out of town because years before he had supported

1324
01:16:19,200 --> 01:16:23,280
Speaker 1: a measure in California. He had given measure too, given

1325
01:16:23,320 --> 01:16:28,400
Speaker 1: money to a measure in California that would have maintained

1326
01:16:28,760 --> 01:16:32,720
Speaker 1: traditional marriage in that state. For that political act, it

1327
01:16:32,840 --> 01:16:35,920
Speaker 1: was he was considered beyond the pale and they were

1328
01:16:36,760 --> 01:16:39,439
Speaker 1: willing to fire him after the fact for that. So

1329
01:16:39,680 --> 01:16:42,880
Speaker 1: they're also willing to make examples of people. They're willing

1330
01:16:42,960 --> 01:16:47,519
Speaker 1: to destroy careers and reputations and even lives because the

1331
01:16:47,560 --> 01:16:50,839
Speaker 1: Silicon Valley set is so full of itself, so wealthy

1332
01:16:50,920 --> 01:16:56,040
Speaker 1: and influential and detached from the average Americans reality that

1333
01:16:56,360 --> 01:17:01,919
Speaker 1: they're incredibly far left ideas and they're incredibly progressive outlook

1334
01:17:01,960 --> 01:17:06,800
Speaker 1: on everything in life has really a an a a

1335
01:17:06,960 --> 01:17:11,400
Speaker 1: hardline evangelist aspect to it, meaning they're and not not

1336
01:17:11,560 --> 01:17:14,760
Speaker 1: that not evangelists in the Christian sense, but they're evangelizing.

1337
01:17:14,800 --> 01:17:18,639
Speaker 1: They are trying to uh convert people to far left

1338
01:17:18,720 --> 01:17:22,320
Speaker 1: progressive ism. So it's in that context that you get

1339
01:17:22,400 --> 01:17:29,000
Speaker 1: this memo out at Google, and it's about the diversity obsession.

1340
01:17:29,080 --> 01:17:34,000
Speaker 1: Now here's the shortened version. There are not that many

1341
01:17:34,200 --> 01:17:38,800
Speaker 1: female tech engineers. Being a technology engineer, being able to

1342
01:17:39,160 --> 01:17:42,719
Speaker 1: code and do back end work at a high level

1343
01:17:43,240 --> 01:17:48,720
Speaker 1: for these very advanced web companies is incredibly difficult, very

1344
01:17:48,920 --> 01:17:52,439
Speaker 1: skilled labor. Right. These are people with a real skill set.

1345
01:17:52,520 --> 01:17:56,160
Speaker 1: There have to be really bright and really talented to

1346
01:17:56,320 --> 01:17:58,800
Speaker 1: excel in these areas. They're fiercely competitive, by the way,

1347
01:17:58,960 --> 01:18:00,840
Speaker 1: and if you're a good at coding. I mean I

1348
01:18:00,960 --> 01:18:03,560
Speaker 1: know this because I have a brother who works in

1349
01:18:03,680 --> 01:18:07,479
Speaker 1: the tech sector. If you're good at coding, you can

1350
01:18:07,640 --> 01:18:10,800
Speaker 1: command a fantastic salary. And if you're good enough that

1351
01:18:10,880 --> 01:18:12,960
Speaker 1: a place like Google is going to put you in

1352
01:18:13,040 --> 01:18:16,439
Speaker 1: a senior engineering position, you're going to be making a

1353
01:18:16,520 --> 01:18:18,639
Speaker 1: lot of money and you can really write your own ticket.

1354
01:18:19,280 --> 01:18:21,479
Speaker 1: But there are not that many women in these roles.

1355
01:18:21,800 --> 01:18:26,080
Speaker 1: There are, they're disproportionately male. And the heads of these

1356
01:18:26,200 --> 01:18:29,400
Speaker 1: major companies, although not all. You have Mercer, Mayor and

1357
01:18:29,560 --> 01:18:32,560
Speaker 1: Yahoo who from everything that I can see did a

1358
01:18:32,680 --> 01:18:35,479
Speaker 1: terrible job, but she was female, and so people were

1359
01:18:35,520 --> 01:18:38,240
Speaker 1: happy about that. You don't have a lot of female

1360
01:18:39,240 --> 01:18:43,160
Speaker 1: leadership in the tech community now. It's fiercely competitive, as

1361
01:18:43,160 --> 01:18:46,040
Speaker 1: a tremendous amount of money at stake, it's very long hours,

1362
01:18:46,560 --> 01:18:50,479
Speaker 1: and the people that do succeed, especially in the current environment. Right.

1363
01:18:50,520 --> 01:18:54,240
Speaker 1: It's one thing if you were someone who was getting

1364
01:18:54,280 --> 01:18:57,639
Speaker 1: into this game in the nineties or the early two thousand's,

1365
01:18:57,680 --> 01:19:00,240
Speaker 1: but if you're getting in more recently, if you're trying

1366
01:19:00,320 --> 01:19:04,639
Speaker 1: to create the next big thing, the next big silicon

1367
01:19:04,800 --> 01:19:09,560
Speaker 1: valleys startup, it completely takes over your life. And with

1368
01:19:09,800 --> 01:19:16,120
Speaker 1: that you have a preponderance a vast majority of the positions,

1369
01:19:16,200 --> 01:19:19,960
Speaker 1: the senior management, management positions and engineering positions are male.

1370
01:19:20,760 --> 01:19:24,439
Speaker 1: Now because you're talking about progressives who run these companies though,

1371
01:19:24,760 --> 01:19:28,759
Speaker 1: and and a progressive ethos at places like Facebook and Google,

1372
01:19:29,680 --> 01:19:33,320
Speaker 1: they reject this. They view it as it must be

1373
01:19:33,800 --> 01:19:38,679
Speaker 1: a problem of the patriarchy. This must be sexism at work,

1374
01:19:38,800 --> 01:19:42,920
Speaker 1: This must in some way be the result of oppression

1375
01:19:43,400 --> 01:19:46,439
Speaker 1: and not choices or even and this is where things

1376
01:19:46,520 --> 01:19:52,439
Speaker 1: get really tense. Everybody innate differences at the aggregate level,

1377
01:19:52,560 --> 01:19:57,479
Speaker 1: meaning the group level meeting overall, meaning in general, but

1378
01:19:57,680 --> 01:20:02,320
Speaker 1: differences between men and women, that's what I think is

1379
01:20:02,360 --> 01:20:05,479
Speaker 1: really the most contentious. Sure there's the lifestyle choice aspects

1380
01:20:05,479 --> 01:20:08,360
Speaker 1: to it, but this memo goes out there and this

1381
01:20:08,520 --> 01:20:13,720
Speaker 1: guy is clearly a very smart, very analytic fellow, and

1382
01:20:14,080 --> 01:20:17,240
Speaker 1: he writes things like, first of all, he writes about

1383
01:20:17,280 --> 01:20:20,880
Speaker 1: Google's biases, and he says that Google doesn't even understand

1384
01:20:20,920 --> 01:20:22,240
Speaker 1: this is all about Google, which is one of the

1385
01:20:22,320 --> 01:20:26,639
Speaker 1: most powerful and valuable companies in the world. Google isn't

1386
01:20:26,680 --> 01:20:29,200
Speaker 1: even aware of how left wing it is because it's

1387
01:20:29,240 --> 01:20:31,759
Speaker 1: just everyone is left wing there that they just assumed

1388
01:20:31,800 --> 01:20:36,040
Speaker 1: that people must be left wing. So here's some of

1389
01:20:36,120 --> 01:20:37,519
Speaker 1: what he writes in this memo, by the way, was

1390
01:20:37,520 --> 01:20:40,200
Speaker 1: fascinating reading. Of course, you have a lot of social

1391
01:20:40,280 --> 01:20:43,560
Speaker 1: justice warriors online who are trashing it and saying that

1392
01:20:43,640 --> 01:20:47,639
Speaker 1: it's terrible. But this guy makes some very interesting points,

1393
01:20:47,760 --> 01:20:52,840
Speaker 1: and while they are politically incorrect, he makes some arguments

1394
01:20:53,400 --> 01:20:56,639
Speaker 1: that would we would do well to think about at least,

1395
01:20:56,760 --> 01:21:00,400
Speaker 1: and I think in some cases he's he's correct. So

1396
01:21:00,800 --> 01:21:03,120
Speaker 1: here's what he writes. A political orientation is actually a

1397
01:21:03,160 --> 01:21:07,720
Speaker 1: result of deep moral preferences, and thus biases considering that

1398
01:21:07,760 --> 01:21:11,960
Speaker 1: the overwhelming majority of the social sciences, media, and Google

1399
01:21:12,080 --> 01:21:15,720
Speaker 1: lean left, we should critically examine these prejudices, and he

1400
01:21:15,840 --> 01:21:18,040
Speaker 1: lists them. He said he lifts left wing and right

1401
01:21:18,080 --> 01:21:21,559
Speaker 1: wing biases. On the left, he rights, compassion for the weak,

1402
01:21:22,120 --> 01:21:26,280
Speaker 1: disparities are due to injustice, humans are inherently cooperative, change

1403
01:21:26,360 --> 01:21:29,559
Speaker 1: is good, open and idealist. These are what he views

1404
01:21:29,840 --> 01:21:33,360
Speaker 1: as left wing biases. And then he lists some on

1405
01:21:33,439 --> 01:21:36,799
Speaker 1: the right. Um, you know, changes dangerous, their pragmatic respect

1406
01:21:36,840 --> 01:21:40,599
Speaker 1: for authority, things like that. Okay, but what he gets

1407
01:21:40,640 --> 01:21:44,719
Speaker 1: into is this is from the piece quote possible non

1408
01:21:44,880 --> 01:21:48,560
Speaker 1: bias causes of the gender gap in tech because this

1409
01:21:48,640 --> 01:21:50,800
Speaker 1: is a big issue now in Silicon Valley. They're saying

1410
01:21:50,840 --> 01:21:54,600
Speaker 1: that men in technology companies make more than women for

1411
01:21:54,720 --> 01:21:58,559
Speaker 1: similar roles. This is this has become, uh the center,

1412
01:21:58,640 --> 01:22:02,639
Speaker 1: This has become ground zero of the wage gap fight,

1413
01:22:02,880 --> 01:22:05,840
Speaker 1: right because these are the companies that are determining a

1414
01:22:05,960 --> 01:22:07,760
Speaker 1: lot of what the future will look like. These are

1415
01:22:07,800 --> 01:22:10,400
Speaker 1: some those valuable companies in the world, and they're paying

1416
01:22:10,439 --> 01:22:13,640
Speaker 1: men more than they pay women. But here's where this

1417
01:22:13,720 --> 01:22:15,800
Speaker 1: guy says some stuff, and you're gonna be like, oh wow,

1418
01:22:16,040 --> 01:22:19,280
Speaker 1: here's where things get a little spicy. Here's where it

1419
01:22:19,320 --> 01:22:22,280
Speaker 1: gets interesting in this memo. Again, this is a memo

1420
01:22:22,520 --> 01:22:26,160
Speaker 1: circulating around Google, one of the most powerful, wealthy companies

1421
01:22:26,479 --> 01:22:29,320
Speaker 1: on the planet, where the guys basically like, our diversity

1422
01:22:29,360 --> 01:22:32,200
Speaker 1: obsession is based in a lot of prejudice and nonsense,

1423
01:22:32,240 --> 01:22:34,759
Speaker 1: and we need to actually look at what's really happening

1424
01:22:35,160 --> 01:22:39,280
Speaker 1: and not just fall into these left wing tautologies and

1425
01:22:39,400 --> 01:22:44,400
Speaker 1: these left wing knee jerk reactionary positions. So he writes

1426
01:22:44,439 --> 01:22:48,160
Speaker 1: the following quote on average men and women biologically differ

1427
01:22:48,240 --> 01:22:52,280
Speaker 1: in many ways. These differences aren't just socially constructed, because

1428
01:22:52,720 --> 01:22:57,080
Speaker 1: they're universal across human cultures. They often have clear biological

1429
01:22:57,160 --> 01:23:01,479
Speaker 1: causes and links to prenatal testosterone, biological males that were

1430
01:23:02,320 --> 01:23:05,640
Speaker 1: castrated at birth and raises females often still identify and

1431
01:23:05,760 --> 01:23:09,840
Speaker 1: act like males. The underlying traits are highly heritable. They're

1432
01:23:09,880 --> 01:23:13,160
Speaker 1: exactly what we would predict from an evolutionary psychology perspective.

1433
01:23:13,920 --> 01:23:18,519
Speaker 1: Oh man, this guy's going science on people here. He's

1434
01:23:18,600 --> 01:23:23,200
Speaker 1: he's pulling out science and biology to explain differences in

1435
01:23:23,320 --> 01:23:26,240
Speaker 1: men and women in technology and hiring and pay, and

1436
01:23:26,560 --> 01:23:30,120
Speaker 1: particularly the engineering and leadership side of Silicon Valley Oh,

1437
01:23:30,240 --> 01:23:33,360
Speaker 1: it is a hot button topic. And he gets there's

1438
01:23:33,400 --> 01:23:35,080
Speaker 1: more and I want to tell you about more of it,

1439
01:23:35,160 --> 01:23:39,040
Speaker 1: because this says just set people a light. I mean,

1440
01:23:39,120 --> 01:23:42,960
Speaker 1: people are so furious over this brilliant stuff. He gets

1441
01:23:43,000 --> 01:23:47,000
Speaker 1: into more of the gender difference, talking about this viral

1442
01:23:47,240 --> 01:23:52,439
Speaker 1: memo at Google, taking on the diversity obsession that Google

1443
01:23:52,520 --> 01:23:56,400
Speaker 1: has and many other Silicon Valley companies have. And this

1444
01:23:56,600 --> 01:24:00,840
Speaker 1: is emblematic of the very peak, my friends of left

1445
01:24:00,920 --> 01:24:05,040
Speaker 1: wing ideology in this country. Uh, the most powerful people

1446
01:24:05,160 --> 01:24:08,559
Speaker 1: in the Democratic Party in many ways right now are

1447
01:24:08,880 --> 01:24:13,680
Speaker 1: the left wing ideologues who run these massive tech conglomerates

1448
01:24:14,000 --> 01:24:16,480
Speaker 1: that are just going to be getting more and more powerful.

1449
01:24:16,760 --> 01:24:19,080
Speaker 1: They have so much cash on their balance sheets they're

1450
01:24:19,080 --> 01:24:22,080
Speaker 1: able to do things like Jeff Bezos of Amazon just

1451
01:24:22,240 --> 01:24:25,040
Speaker 1: by the Washington Post, right, I mean this is and

1452
01:24:25,080 --> 01:24:27,160
Speaker 1: then there's gonna be a lot more of that. There

1453
01:24:27,800 --> 01:24:31,120
Speaker 1: are people that are rumoring that some of these companies

1454
01:24:31,200 --> 01:24:34,400
Speaker 1: could in the future. Uh, they may decide to buy

1455
01:24:34,520 --> 01:24:38,160
Speaker 1: up some of the massive established media companies and just

1456
01:24:38,360 --> 01:24:42,080
Speaker 1: use them for content but control the distribution. So they're very,

1457
01:24:42,240 --> 01:24:47,160
Speaker 1: very powerful, and their messaging is is essential to uh

1458
01:24:47,320 --> 01:24:51,000
Speaker 1: their continued growth. Right. So they also understand how to

1459
01:24:51,320 --> 01:24:56,120
Speaker 1: get out propaganda and ideas, and they're very progressive. They're

1460
01:24:56,320 --> 01:25:00,240
Speaker 1: very left wing, and the diversity of session and at

1461
01:25:00,240 --> 01:25:03,280
Speaker 1: a place like Google has finally run into the buzz

1462
01:25:03,280 --> 01:25:07,160
Speaker 1: saw of somebody who is willing to look at things

1463
01:25:07,280 --> 01:25:10,599
Speaker 1: from the perspective of what's real and what's not instead

1464
01:25:10,680 --> 01:25:12,600
Speaker 1: of what would I like to be the case, what

1465
01:25:12,680 --> 01:25:15,240
Speaker 1: would make me feel better, what would make me sound

1466
01:25:15,360 --> 01:25:18,200
Speaker 1: like a really good guy. So we we haven't, as

1467
01:25:18,240 --> 01:25:20,600
Speaker 1: far as I know yet identified who this person is.

1468
01:25:21,080 --> 01:25:24,560
Speaker 1: But when it comes to the differences between male and

1469
01:25:24,640 --> 01:25:30,479
Speaker 1: female representation in engineering at tech companies, what he's saying is, look,

1470
01:25:30,560 --> 01:25:33,520
Speaker 1: men and women are different and there are innate biological

1471
01:25:33,600 --> 01:25:36,760
Speaker 1: differences that can play out in the workplace, which I

1472
01:25:36,800 --> 01:25:39,759
Speaker 1: mean that is just heresy. By the way, the former

1473
01:25:39,880 --> 01:25:42,760
Speaker 1: president of Harvard, who was also the former Treasury Secretary,

1474
01:25:43,320 --> 01:25:48,439
Speaker 1: Larry Summers, was more or less, uh fired ignominiously, I

1475
01:25:48,520 --> 01:25:52,519
Speaker 1: mean fired in shame from Harvard because he ad a

1476
01:25:52,800 --> 01:25:54,680
Speaker 1: I'm not sure I think he had to resign, I

1477
01:25:54,760 --> 01:25:56,720
Speaker 1: can't remember not, but he was. He was shamed for

1478
01:25:56,840 --> 01:26:00,880
Speaker 1: sure because he asked or he ray is the possibility

1479
01:26:01,160 --> 01:26:05,360
Speaker 1: when people were talking about why there aren't more women

1480
01:26:05,680 --> 01:26:09,280
Speaker 1: excelling in math and science. He raised the possibility that

1481
01:26:09,560 --> 01:26:12,000
Speaker 1: maybe men and women are just different, and maybe that

1482
01:26:12,080 --> 01:26:15,479
Speaker 1: they have different strengths, and that's a biological trait that

1483
01:26:15,680 --> 01:26:17,840
Speaker 1: is not true in every case. That's See, this is

1484
01:26:17,880 --> 01:26:21,400
Speaker 1: where you're run into the annoying response and people, well,

1485
01:26:21,439 --> 01:26:23,680
Speaker 1: are you saying there's not women who are brilliant math?

1486
01:26:23,760 --> 01:26:25,719
Speaker 1: And they'll point out to some person, No, you're talking

1487
01:26:25,800 --> 01:26:29,599
Speaker 1: about in the aggregate meeting. You're talking about in general

1488
01:26:30,200 --> 01:26:34,600
Speaker 1: group uh, group traits, right, So that's not going to

1489
01:26:34,640 --> 01:26:37,719
Speaker 1: be applicable in every case. There are female math geniuses,

1490
01:26:37,800 --> 01:26:40,640
Speaker 1: there are male math geniuses. But out of a population

1491
01:26:40,960 --> 01:26:45,160
Speaker 1: of a million males and a population of a million females,

1492
01:26:45,680 --> 01:26:49,519
Speaker 1: if you have a thousand male math geniuses and a

1493
01:26:49,680 --> 01:26:54,080
Speaker 1: hundred female math geniuses, and that's true across populations and

1494
01:26:54,120 --> 01:26:57,840
Speaker 1: across cultures, that would seem to indicate something, right, there's

1495
01:26:57,880 --> 01:27:00,080
Speaker 1: something And I just made up those numbers. I know.

1496
01:27:00,360 --> 01:27:02,920
Speaker 1: I'm not saying that's they see even me here, I'm

1497
01:27:02,960 --> 01:27:05,120
Speaker 1: not I'm not saying that's the case. I get all scared. Oh,

1498
01:27:05,200 --> 01:27:06,560
Speaker 1: I don't want the ladies to get mad at me.

1499
01:27:06,840 --> 01:27:10,080
Speaker 1: But he's trying to talk about this in an honest way.

1500
01:27:11,000 --> 01:27:13,280
Speaker 1: Then he gets into so that's on a biological level.

1501
01:27:13,320 --> 01:27:16,680
Speaker 1: Then this guy who wrote this memo that just is

1502
01:27:16,920 --> 01:27:23,040
Speaker 1: a both barrels all in assault on the diversity cult.

1503
01:27:23,120 --> 01:27:26,439
Speaker 1: It's really a diversity cult at these uh at these

1504
01:27:26,520 --> 01:27:31,559
Speaker 1: institutions of you know, technological uh, well, at these major

1505
01:27:31,640 --> 01:27:35,559
Speaker 1: tech companies, these global tech companies that have have become

1506
01:27:35,600 --> 01:27:37,680
Speaker 1: a little full of themselves. Unfortunate because they are so

1507
01:27:38,040 --> 01:27:41,240
Speaker 1: influential and so rich and so powerful. Uh, and they

1508
01:27:41,280 --> 01:27:44,439
Speaker 1: really think they can change the world. And in some ways,

1509
01:27:44,479 --> 01:27:47,200
Speaker 1: I guess maybe they're right. But anyway, Um, he goes

1510
01:27:47,280 --> 01:27:50,640
Speaker 1: into this anonymous guy who I'm sure will be if

1511
01:27:50,680 --> 01:27:52,160
Speaker 1: he has not already by the time I go on

1512
01:27:52,280 --> 01:27:55,960
Speaker 1: air being identified, he will be soon, and my guess

1513
01:27:56,080 --> 01:27:59,679
Speaker 1: is that he will be forced to resign or be fired.

1514
01:28:00,120 --> 01:28:04,200
Speaker 1: But he writes in this viral memo the anti diversity screeds,

1515
01:28:04,360 --> 01:28:06,240
Speaker 1: as I've seen a call on. There's something screed like

1516
01:28:06,320 --> 01:28:08,679
Speaker 1: about it. It's just he's just going point by point

1517
01:28:08,720 --> 01:28:11,920
Speaker 1: through this that women and men have, on average, even

1518
01:28:12,000 --> 01:28:15,920
Speaker 1: writes that on average personality differences and that they have

1519
01:28:16,000 --> 01:28:21,160
Speaker 1: different approaches and that this may results in differences in

1520
01:28:21,200 --> 01:28:24,960
Speaker 1: the workplace, particularly in a very high pressure and incredibly

1521
01:28:25,000 --> 01:28:29,320
Speaker 1: competitive environment like top engineering jobs at these Internet companies

1522
01:28:29,720 --> 01:28:32,360
Speaker 1: and leadership roles at these Internet companies. Remember, I mean,

1523
01:28:32,360 --> 01:28:36,160
Speaker 1: if you're the CEO of Google, you're making a lot

1524
01:28:36,520 --> 01:28:40,600
Speaker 1: of cash. You are doing very well. Um. And so

1525
01:28:41,000 --> 01:28:43,000
Speaker 1: that also then goes into what he writes about with

1526
01:28:43,200 --> 01:28:48,960
Speaker 1: regard to men's higher drive for status. Uh. He writes,

1527
01:28:49,040 --> 01:28:51,160
Speaker 1: we always ask why we don't see women in top

1528
01:28:51,280 --> 01:28:54,200
Speaker 1: leadership positions, but we never ask why we see so

1529
01:28:54,360 --> 01:28:58,080
Speaker 1: many men in these jobs. These positions often require long,

1530
01:28:58,320 --> 01:29:00,840
Speaker 1: stressful hours that may not be worth it if you

1531
01:29:00,920 --> 01:29:04,599
Speaker 1: want a balanced and fulfilling life. Status is the primary

1532
01:29:04,640 --> 01:29:07,280
Speaker 1: metric that men are judged on, pushing many men into

1533
01:29:07,320 --> 01:29:10,000
Speaker 1: these higher paying, less satisfying jobs for the status that

1534
01:29:10,080 --> 01:29:13,080
Speaker 1: they entail. Note, the same forces that lead men into

1535
01:29:13,200 --> 01:29:16,280
Speaker 1: high pay, high stress jobs in tech and leadership caused

1536
01:29:16,320 --> 01:29:20,320
Speaker 1: men to take undesirable and dangerous jobs like coal mining,

1537
01:29:20,560 --> 01:29:25,960
Speaker 1: garbage collection, and firefighting and suffer ninety of work related deaths.

1538
01:29:27,280 --> 01:29:30,000
Speaker 1: You know, I mean, yeah, sure, this guy is. I mean,

1539
01:29:30,080 --> 01:29:33,240
Speaker 1: this is like man explaining on steroids. I mean, this

1540
01:29:33,360 --> 01:29:35,599
Speaker 1: guy is really going forward and it's it's a really

1541
01:29:35,720 --> 01:29:38,240
Speaker 1: fascinating read, and we'll have it up. We'll have it

1542
01:29:38,360 --> 01:29:40,720
Speaker 1: up for you on buck Sexton dot com if you

1543
01:29:40,800 --> 01:29:42,479
Speaker 1: want to read it for yourself, and I, by the way,

1544
01:29:42,479 --> 01:29:44,920
Speaker 1: I recommend you do if you get a chance. But

1545
01:29:45,760 --> 01:29:48,960
Speaker 1: just even making this case, just even asking the questions

1546
01:29:49,080 --> 01:29:53,080
Speaker 1: or making the argument is treated like heresy. I mean,

1547
01:29:53,160 --> 01:29:56,760
Speaker 1: this guy is, I mean, the hunt to find out

1548
01:29:56,800 --> 01:30:00,160
Speaker 1: who he is has been on from the very him

1549
01:30:00,160 --> 01:30:02,519
Speaker 1: the get go here, and they really want to make

1550
01:30:02,560 --> 01:30:06,960
Speaker 1: an example out of him. So he also um gets

1551
01:30:07,040 --> 01:30:11,160
Speaker 1: a little further into you know, he says one, he

1552
01:30:11,880 --> 01:30:15,360
Speaker 1: gives ideas that are solutions. He's not just saying that

1553
01:30:15,800 --> 01:30:19,479
Speaker 1: Google is a bunch of left wing uh you know,

1554
01:30:19,600 --> 01:30:26,519
Speaker 1: Nancy Pelosi voting, Bernie Sanders, loving tofu, eating latte, drinking,

1555
01:30:27,160 --> 01:30:31,200
Speaker 1: you know, fancy pants, uh tech Silicon Valley people, although

1556
01:30:31,600 --> 01:30:34,719
Speaker 1: there's some of that for sure. He's giving some ideas

1557
01:30:34,760 --> 01:30:36,800
Speaker 1: as to how to make things better. He writes one

1558
01:30:37,240 --> 01:30:44,880
Speaker 1: demoralized diversity and to stop alienating conservatives, and three confront

1559
01:30:45,000 --> 01:30:49,679
Speaker 1: Google's biases, stop restricting programs and classes to certain genders

1560
01:30:49,800 --> 01:30:53,160
Speaker 1: or races, and having open have an open and honest

1561
01:30:53,200 --> 01:30:57,400
Speaker 1: discussion about the costs and benefits of our diversity programs.

1562
01:30:57,600 --> 01:30:59,720
Speaker 1: You see, that's what they really don't want to get to.

1563
01:31:00,479 --> 01:31:03,400
Speaker 1: They're so invested in this. And keep in mind, it's

1564
01:31:03,439 --> 01:31:06,120
Speaker 1: not just the people who like the idea of the program.

1565
01:31:06,680 --> 01:31:11,360
Speaker 1: There are individuals at these companies who have benefited very

1566
01:31:11,479 --> 01:31:15,479
Speaker 1: directly from these diversity programs and to abandon them because

1567
01:31:15,560 --> 01:31:19,120
Speaker 1: they're either ineffective or even more to the point, unfair

1568
01:31:19,400 --> 01:31:22,080
Speaker 1: and not right. And this will tie into the affirm

1569
01:31:22,160 --> 01:31:24,080
Speaker 1: of action discussion will be having in a second here

1570
01:31:24,520 --> 01:31:28,120
Speaker 1: would be in a sense, to undermine the very achievements

1571
01:31:28,840 --> 01:31:33,080
Speaker 1: of the people that have gotten accelerated or hired or

1572
01:31:33,320 --> 01:31:38,840
Speaker 1: you know, faster promotion because of these various programs. Right,

1573
01:31:38,880 --> 01:31:42,200
Speaker 1: So there's a very deep seated interest that some people

1574
01:31:42,280 --> 01:31:46,120
Speaker 1: have in the propagation of these programs. They really don't

1575
01:31:46,200 --> 01:31:49,320
Speaker 1: want to give this up. They really believe very strongly

1576
01:31:49,400 --> 01:31:51,840
Speaker 1: in it. And it's just fastening to read this guy,

1577
01:31:52,240 --> 01:31:55,600
Speaker 1: because you can see the same argument made in a

1578
01:31:55,600 --> 01:31:57,880
Speaker 1: whole bunch of different fields. It's true on Wall Street,

1579
01:31:57,920 --> 01:32:01,320
Speaker 1: I mean, the high wage, high risk, high competition positions

1580
01:32:01,960 --> 01:32:05,719
Speaker 1: that are dominated by men. Were always told it's because

1581
01:32:05,760 --> 01:32:08,080
Speaker 1: there's this old boys club and all this other stuff.

1582
01:32:08,120 --> 01:32:10,240
Speaker 1: But if it was really the case that it was

1583
01:32:10,280 --> 01:32:13,240
Speaker 1: just a male female hiring bias or a bias against

1584
01:32:13,320 --> 01:32:16,439
Speaker 1: hiring men, when in reality, because of diversity programs, there's

1585
01:32:16,439 --> 01:32:19,160
Speaker 1: a bias in favor of hiring women. But if it

1586
01:32:19,280 --> 01:32:22,040
Speaker 1: was all this old boys club stuff, if you wanted

1587
01:32:22,160 --> 01:32:24,679
Speaker 1: a huge edge over your competitors, you would just hire

1588
01:32:24,760 --> 01:32:30,000
Speaker 1: women because economically you'd be saving fift on average, and

1589
01:32:30,120 --> 01:32:33,280
Speaker 1: labor costs are an enormous part of the hurdle to

1590
01:32:33,400 --> 01:32:37,799
Speaker 1: beating your competitors. So capitalism would dictate that a bias

1591
01:32:37,880 --> 01:32:40,720
Speaker 1: based in nothing is stupid, counterproductive, and would cost you

1592
01:32:40,840 --> 01:32:44,760
Speaker 1: to lose business. But maybe something else is at work.

1593
01:32:44,840 --> 01:32:46,479
Speaker 1: I'm just saying, I'm just putting it out there. Maybe

1594
01:32:46,479 --> 01:32:48,760
Speaker 1: there are other things, right, we can at least talk

1595
01:32:48,800 --> 01:32:50,640
Speaker 1: about it. We can at least talk about the possibility.

1596
01:32:51,000 --> 01:32:56,120
Speaker 1: The funny thing about creating endless classes of victims and

1597
01:32:56,200 --> 01:33:00,839
Speaker 1: allowing that to be uh just a wide spread practice

1598
01:33:00,920 --> 01:33:03,880
Speaker 1: on campuses is that when there are more and more

1599
01:33:04,000 --> 01:33:07,000
Speaker 1: victims all the time, you also are going to face

1600
01:33:07,360 --> 01:33:11,439
Speaker 1: more and more demands. You see, victims believe that they

1601
01:33:12,120 --> 01:33:15,519
Speaker 1: have been wronged. Right, this is the very basics of

1602
01:33:15,680 --> 01:33:19,479
Speaker 1: being a victim. Victims believe that they are owed something,

1603
01:33:19,640 --> 01:33:23,759
Speaker 1: and in the context of college campuses, that has led

1604
01:33:23,920 --> 01:33:29,639
Speaker 1: to a series of uh upping demands at schools across

1605
01:33:29,680 --> 01:33:33,760
Speaker 1: the country where it just seems like there's no end

1606
01:33:33,800 --> 01:33:37,800
Speaker 1: to it. There are students who are gathering together now

1607
01:33:38,000 --> 01:33:42,320
Speaker 1: and as part of whatever their particular you know group,

1608
01:33:42,600 --> 01:33:46,799
Speaker 1: maybe whatever their affinity group or identity group, or ethnic

1609
01:33:46,880 --> 01:33:50,679
Speaker 1: group or however it is, that they are claiming victim status.

1610
01:33:51,479 --> 01:33:55,200
Speaker 1: They're making demands of the administration now. And the administrations

1611
01:33:55,240 --> 01:33:59,800
Speaker 1: have really liked the feeling of moral superiority and the

1612
01:34:00,120 --> 01:34:03,519
Speaker 1: cheap sanctimony of you know, diversity as our strength and

1613
01:34:03,600 --> 01:34:07,200
Speaker 1: multiculturalism is the fabric that holds the country together, and

1614
01:34:07,320 --> 01:34:09,880
Speaker 1: all the stuff that they say, and on campuses, it's

1615
01:34:09,960 --> 01:34:14,720
Speaker 1: been really, uh the the dominant dogma for a long time,

1616
01:34:14,800 --> 01:34:19,400
Speaker 1: but it's gotten worse recently, right, it's actually become a

1617
01:34:19,479 --> 01:34:22,960
Speaker 1: bigger problem. And when I look now at what's going

1618
01:34:22,960 --> 01:34:25,240
Speaker 1: on these campuses, and I was reading this piece actually

1619
01:34:25,280 --> 01:34:28,720
Speaker 1: in the New York Times, you can see that now.

1620
01:34:28,840 --> 01:34:32,000
Speaker 1: I mean, in a sense, the the inmates are running

1621
01:34:32,080 --> 01:34:36,160
Speaker 1: the asylum. This happened at Missoo, where you had uh,

1622
01:34:36,400 --> 01:34:40,479
Speaker 1: students who were demanding you know that they had more, Um,

1623
01:34:40,880 --> 01:34:44,960
Speaker 1: I don't know racial sensitivity that was going to be

1624
01:34:45,040 --> 01:34:47,280
Speaker 1: shown by the administration. There are a bunch of incidents

1625
01:34:47,320 --> 01:34:48,920
Speaker 1: and all I can tell you is that they were

1626
01:34:49,000 --> 01:34:52,439
Speaker 1: having protests where they were not allowing people to film

1627
01:34:52,520 --> 01:34:56,600
Speaker 1: them or or even you know, engage with the protesters

1628
01:34:57,040 --> 01:34:58,880
Speaker 1: for fear that some of them would look dumb. And

1629
01:34:59,240 --> 01:35:01,880
Speaker 1: you have that one professor who's saying, you know, can

1630
01:35:01,920 --> 01:35:05,040
Speaker 1: I get some help? Can I get some muscle over here?

1631
01:35:05,640 --> 01:35:09,000
Speaker 1: I need some muscle. This guy is filming you know,

1632
01:35:09,200 --> 01:35:11,960
Speaker 1: she was apparently a relative of Hillary Clinton's. I don't

1633
01:35:12,040 --> 01:35:16,240
Speaker 1: like to do this, you know. Anyway, So they've seen

1634
01:35:16,280 --> 01:35:18,960
Speaker 1: this now on campuses and we catch these videos of

1635
01:35:19,040 --> 01:35:22,280
Speaker 1: these crazy groups that are out there, and they are

1636
01:35:22,439 --> 01:35:24,840
Speaker 1: of all kinds, all different ethnic backgrounds. I mean, you know,

1637
01:35:24,960 --> 01:35:28,439
Speaker 1: everyone's a victim now right, everyone's claiming to have some

1638
01:35:29,520 --> 01:35:35,320
Speaker 1: victim status where they are. Uh, they need redress because

1639
01:35:35,520 --> 01:35:38,120
Speaker 1: it's really easy. I mean, it's it's a really cathartic

1640
01:35:38,720 --> 01:35:43,439
Speaker 1: and um, you can understand why people like this because

1641
01:35:43,479 --> 01:35:46,240
Speaker 1: it explains all your problems. Right, You haven't made any

1642
01:35:46,320 --> 01:35:49,280
Speaker 1: mistakes in fact, anything that's going wrong in your life

1643
01:35:49,360 --> 01:35:53,040
Speaker 1: or any place where you feel insecure, insufficient, it's someone

1644
01:35:53,120 --> 01:35:57,240
Speaker 1: else's fault. It's the cause of or it is caused

1645
01:35:57,360 --> 01:36:00,920
Speaker 1: by oppression. It is caused by other people who are

1646
01:36:01,040 --> 01:36:03,680
Speaker 1: and this is the basis of intersectionality, which is the

1647
01:36:03,880 --> 01:36:08,000
Speaker 1: underlying philosophy on all these different college campuses. And that

1648
01:36:08,200 --> 01:36:11,320
Speaker 1: intersectionality is where you get people that are saying, you know,

1649
01:36:11,400 --> 01:36:14,600
Speaker 1: your man splaining, or you're you know, you're part of

1650
01:36:14,680 --> 01:36:19,200
Speaker 1: the patriarchy, or you know, sexism, racism, xeno phobia, all

1651
01:36:19,240 --> 01:36:23,000
Speaker 1: this stuff. But it's spiraling out of control on campuses

1652
01:36:23,120 --> 01:36:27,479
Speaker 1: in a way that administrations, these university administrations didn't really

1653
01:36:27,640 --> 01:36:31,240
Speaker 1: prepare for. Um. Here's what The New York Times writes

1654
01:36:31,240 --> 01:36:35,120
Speaker 1: about this. Campuses that have prided themselves on increased diversity

1655
01:36:35,200 --> 01:36:38,280
Speaker 1: and admissions are now wrestling with students who want more

1656
01:36:38,360 --> 01:36:42,439
Speaker 1: control over the institutions they attend, including assay and hiring

1657
01:36:42,960 --> 01:36:46,439
Speaker 1: even a visiting professors. Housing, a theme house at the

1658
01:36:46,520 --> 01:36:49,680
Speaker 1: University of California Santa Cruz must be painted in Pan

1659
01:36:49,760 --> 01:36:54,040
Speaker 1: African colors, and curriculum. Among nearly fifty demands presented to

1660
01:36:54,080 --> 01:36:57,439
Speaker 1: the University of Chicago, the creation of courses on the

1661
01:36:57,560 --> 01:37:02,840
Speaker 1: Islamic Golden Age sequences on Caribbean and Southeast Asian civilizations,

1662
01:37:03,200 --> 01:37:07,920
Speaker 1: and it required diversity and inclusion course. So these campuses

1663
01:37:08,040 --> 01:37:12,440
Speaker 1: that are full of multiculturalism and the politics of victimology

1664
01:37:12,880 --> 01:37:16,760
Speaker 1: and have been fostering this, have just been throwing gasoline

1665
01:37:17,280 --> 01:37:22,519
Speaker 1: on this, uh, this conflagration of boo hoo, when when

1666
01:37:22,800 --> 01:37:26,400
Speaker 1: so hard for me for all kinds of different groups.

1667
01:37:27,000 --> 01:37:30,880
Speaker 1: Um that that they the term usually is marginalized, right,

1668
01:37:30,960 --> 01:37:35,679
Speaker 1: that's one of the preferred progressive terms. These are marginalized groups,

1669
01:37:36,640 --> 01:37:40,760
Speaker 1: which is just another way of saying that they are oppressed. Um.

1670
01:37:40,920 --> 01:37:43,600
Speaker 1: And there's a hierarchy, by the way, within those marginalized

1671
01:37:43,680 --> 01:37:47,479
Speaker 1: groups or among the different marginalized groups. But there's they

1672
01:37:47,520 --> 01:37:50,799
Speaker 1: now want to determine what gets taught, who gets hired,

1673
01:37:51,280 --> 01:37:55,240
Speaker 1: who lives where on campus. In my own experience, I

1674
01:37:55,280 --> 01:37:58,799
Speaker 1: remember at Amherst there was the nicest house on campus

1675
01:37:59,120 --> 01:38:01,679
Speaker 1: was the a house that was assigned to the Black

1676
01:38:01,720 --> 01:38:08,200
Speaker 1: Student Union. It was named for a famous black alumni

1677
01:38:08,320 --> 01:38:11,439
Speaker 1: of the college. And they may be allowed one non

1678
01:38:11,520 --> 01:38:14,519
Speaker 1: black student to live there as a way of saying, see,

1679
01:38:14,560 --> 01:38:17,160
Speaker 1: it's not only black students allowed to live here, but

1680
01:38:17,320 --> 01:38:20,160
Speaker 1: it really was, and it was the nicest house on campus,

1681
01:38:20,600 --> 01:38:22,240
Speaker 1: and you could only live on campus. Really, it was

1682
01:38:22,360 --> 01:38:24,680
Speaker 1: very hard to live off campus at my school. So

1683
01:38:25,160 --> 01:38:30,840
Speaker 1: you had what was effectively a a segregated a self

1684
01:38:30,920 --> 01:38:34,360
Speaker 1: segregated housing situation. And it wasn't. But there was also

1685
01:38:34,560 --> 01:38:38,960
Speaker 1: a Latina or Latino house. I mean, different groups chose

1686
01:38:39,520 --> 01:38:41,559
Speaker 1: to have houses where they would only live with people

1687
01:38:41,640 --> 01:38:45,759
Speaker 1: of their own background, that ethnicity. And yes, technically, because

1688
01:38:45,840 --> 01:38:49,080
Speaker 1: it was uncomfortable even for the administration at the time,

1689
01:38:49,840 --> 01:38:53,240
Speaker 1: you could apply if you were not of that background.

1690
01:38:53,479 --> 01:38:56,000
Speaker 1: But how many white students do you think really wanted

1691
01:38:56,040 --> 01:39:01,320
Speaker 1: to go through the application process for the black student house. Uh, look,

1692
01:39:01,360 --> 01:39:03,479
Speaker 1: this is just this is reality. This isn't my school.

1693
01:39:03,800 --> 01:39:05,599
Speaker 1: I was dealing with this. I saw this, so I'm

1694
01:39:05,600 --> 01:39:07,519
Speaker 1: not just reading about it. And I'm sure it's only

1695
01:39:07,560 --> 01:39:12,040
Speaker 1: gotten more radical over time. But see, the victimology that

1696
01:39:12,240 --> 01:39:15,040
Speaker 1: has been fostering on these campuses has now turned into

1697
01:39:15,680 --> 01:39:20,040
Speaker 1: a series of escalating demands. Right, these kids who have

1698
01:39:20,240 --> 01:39:23,800
Speaker 1: been uh coddled, and many of them, by the way,

1699
01:39:23,880 --> 01:39:26,920
Speaker 1: have a deep insecurity because they've been brought to you.

1700
01:39:27,040 --> 01:39:30,280
Speaker 1: In particularly the case of more elite schools, they've been

1701
01:39:30,360 --> 01:39:35,800
Speaker 1: brought in with less academic credentials, less well prepared. And

1702
01:39:36,000 --> 01:39:39,240
Speaker 1: by the way, this was so pronounced that my school

1703
01:39:39,280 --> 01:39:41,880
Speaker 1: again and Amer, So I'd like to speak with some uh,

1704
01:39:42,040 --> 01:39:45,120
Speaker 1: some background. Here are some personal connection to this. You

1705
01:39:45,200 --> 01:39:47,880
Speaker 1: know that I'm not just reading this stuff and spouting off.

1706
01:39:48,560 --> 01:39:51,799
Speaker 1: There was a crash course in basic math and basic

1707
01:39:51,920 --> 01:39:56,719
Speaker 1: reading that Amer's College put some of its diversity candidates through.

1708
01:39:57,520 --> 01:39:59,800
Speaker 1: And I remember because I arrived the campus early for

1709
01:40:00,000 --> 01:40:01,600
Speaker 1: couple of years because it was a nice time to

1710
01:40:01,640 --> 01:40:03,880
Speaker 1: be there, and I was hanging out, and I remember

1711
01:40:03,920 --> 01:40:05,759
Speaker 1: these students who were freshman. It was only for freshmen.

1712
01:40:05,800 --> 01:40:08,320
Speaker 1: They would show up and for six weeks they were

1713
01:40:08,760 --> 01:40:13,320
Speaker 1: more or less doing you know, rudimentary high school English

1714
01:40:13,520 --> 01:40:16,880
Speaker 1: and an arithmetic And I gotta say, I mean, this

1715
01:40:17,000 --> 01:40:21,280
Speaker 1: is a school that turns down of the people who apply. Okay,

1716
01:40:21,360 --> 01:40:23,280
Speaker 1: this is a place that in those U S News

1717
01:40:23,320 --> 01:40:27,320
Speaker 1: and World Report listings. Pardon the little plug for my

1718
01:40:27,400 --> 01:40:29,560
Speaker 1: school here, but it is usually number one, two, or

1719
01:40:29,720 --> 01:40:32,360
Speaker 1: three in in terms of colleges, not universities, but in

1720
01:40:32,520 --> 01:40:35,400
Speaker 1: terms of actual colleges in the country. You're bringing in

1721
01:40:35,520 --> 01:40:38,640
Speaker 1: people that are beating out eight percent of the competition,

1722
01:40:39,040 --> 01:40:46,400
Speaker 1: who need special uh rudimentary academic assistance. Someone explained that

1723
01:40:46,560 --> 01:40:51,280
Speaker 1: to me, right, how can that make any sense? But again,

1724
01:40:51,720 --> 01:40:54,400
Speaker 1: the politicization that's gone on in these campuses and the

1725
01:40:54,560 --> 01:40:58,760
Speaker 1: worshiping at the altar of diversity has just overcome all other,

1726
01:40:59,640 --> 01:41:03,200
Speaker 1: uh all other criteria and it is now the primary.

1727
01:41:04,240 --> 01:41:09,080
Speaker 1: It is now that the primary ideological glue on these campuses.

1728
01:41:09,120 --> 01:41:11,679
Speaker 1: It's what holds all the professors together, and it's it's

1729
01:41:11,920 --> 01:41:14,920
Speaker 1: drummed into students heads. And if you don't sign on

1730
01:41:15,000 --> 01:41:16,599
Speaker 1: to this, you're in all kinds of you're in all

1731
01:41:16,680 --> 01:41:19,439
Speaker 1: kinds of trouble. But you know, that's a really interesting

1732
01:41:19,960 --> 01:41:23,719
Speaker 1: situation where a sophomore at I think it was Pomona,

1733
01:41:23,960 --> 01:41:26,440
Speaker 1: but you know, it's whatever, one of those schools on California.

1734
01:41:26,800 --> 01:41:29,800
Speaker 1: A sophomore quote in The New York Times said each

1735
01:41:29,880 --> 01:41:33,600
Speaker 1: incoming class is getting progressively more radical. He recalled the

1736
01:41:33,680 --> 01:41:38,000
Speaker 1: panel discussion during orientation at which a student said, oh,

1737
01:41:38,120 --> 01:41:41,160
Speaker 1: is this is that Pomonia. We should burn down Pomona

1738
01:41:41,760 --> 01:41:48,160
Speaker 1: because elite colleges represented white supremacist patriarchy. Mr Goo, who

1739
01:41:48,200 --> 01:41:50,800
Speaker 1: I believe is identified as Asian American in this piece.

1740
01:41:50,840 --> 01:41:54,559
Speaker 1: By the way, Mr Goo found the idea absurd. Quote.

1741
01:41:54,960 --> 01:41:57,920
Speaker 1: You are going to a sixty thousand dollar a year

1742
01:41:58,040 --> 01:42:01,559
Speaker 1: school and you're either there be because your parents are wealthy,

1743
01:42:02,040 --> 01:42:04,680
Speaker 1: or the school has given you a full ride, and

1744
01:42:04,800 --> 01:42:08,120
Speaker 1: you are saying it's a dangerous environment for you. He said,

1745
01:42:08,760 --> 01:42:13,280
Speaker 1: there is a strange sense of entitlement end quote. I'll

1746
01:42:13,360 --> 01:42:16,639
Speaker 1: say entitlement. I mean, that's what's so crazy. You get

1747
01:42:16,720 --> 01:42:21,040
Speaker 1: these kids who are going to Yale and Harvard and Pomona,

1748
01:42:21,160 --> 01:42:22,519
Speaker 1: and you know, just go down the list of these

1749
01:42:23,160 --> 01:42:27,360
Speaker 1: wildly expensive private institutions that I've been opening doors for

1750
01:42:27,560 --> 01:42:31,000
Speaker 1: them for decades to come. People will, I think wrongly

1751
01:42:31,080 --> 01:42:34,240
Speaker 1: by the way, in many cases make assumptions about their

1752
01:42:34,600 --> 01:42:38,800
Speaker 1: academic and intellectual capabilities based on this degree they're getting

1753
01:42:38,840 --> 01:42:42,599
Speaker 1: from his undergraduate institution that honestly, many of them didn't

1754
01:42:42,640 --> 01:42:46,479
Speaker 1: earn via academics the way that people believe they did,

1755
01:42:46,920 --> 01:42:50,280
Speaker 1: meaning that for many students at these schools, big percentages

1756
01:42:50,560 --> 01:42:54,040
Speaker 1: thirty forty and yeah, I know, people say, what about

1757
01:42:54,520 --> 01:42:56,960
Speaker 1: what about legacies, which is when your parents go there

1758
01:42:57,000 --> 01:42:59,160
Speaker 1: and the school gives you preference. You know, I actually

1759
01:42:59,240 --> 01:43:02,479
Speaker 1: know about this. The admits for legacies at schools are

1760
01:43:02,560 --> 01:43:06,400
Speaker 1: usually within the margin of acceptable grade range or or

1761
01:43:06,560 --> 01:43:08,960
Speaker 1: overall it's it's it's within the sort of mid range

1762
01:43:09,000 --> 01:43:11,240
Speaker 1: of the grades. It is useful, it is helpful. I'm

1763
01:43:11,240 --> 01:43:14,840
Speaker 1: not saying it isn't. But with diversity candidates, you'll get

1764
01:43:14,880 --> 01:43:17,439
Speaker 1: people that aren't even in, aren't even really in the

1765
01:43:17,720 --> 01:43:19,240
Speaker 1: in the running in terms of their s a t

1766
01:43:19,400 --> 01:43:22,040
Speaker 1: s and their grades, and they'll get in. So you

1767
01:43:22,120 --> 01:43:25,519
Speaker 1: have real outliers with diversity candidates. You can have that

1768
01:43:25,680 --> 01:43:28,280
Speaker 1: with legacies, you can have people write a five million

1769
01:43:28,320 --> 01:43:30,639
Speaker 1: dollar checked again into Harvard. We've all read the stories.

1770
01:43:30,680 --> 01:43:36,280
Speaker 1: I know that. But overall, the biggest swings come from

1771
01:43:36,360 --> 01:43:39,599
Speaker 1: either people who are recruited athletes, which is obviously people

1772
01:43:39,600 --> 01:43:44,040
Speaker 1: of all different kinds of backgrounds, and uh, diversity candidates.

1773
01:43:44,240 --> 01:43:47,640
Speaker 1: That's where you see the biggest shifting of the of

1774
01:43:47,720 --> 01:43:50,600
Speaker 1: the standards that the rest of the student body is

1775
01:43:50,880 --> 01:43:53,519
Speaker 1: is held to. But anyway, back to this, this sophomore

1776
01:43:53,560 --> 01:43:56,559
Speaker 1: at Pomona saying that these kids are at a an

1777
01:43:56,720 --> 01:44:00,959
Speaker 1: incredibly elite place and they're and they're either so privileged

1778
01:44:00,960 --> 01:44:03,680
Speaker 1: that their parents can pay for it, or they're so

1779
01:44:04,040 --> 01:44:07,840
Speaker 1: lucky and living at at the the or studying rather

1780
01:44:07,960 --> 01:44:11,240
Speaker 1: at the generosity of other people who are paying for

1781
01:44:11,320 --> 01:44:15,440
Speaker 1: their education, and they say it is a quote dangerous environment.

1782
01:44:16,000 --> 01:44:20,600
Speaker 1: I mean, these kids are delusional. They are delusional. They

1783
01:44:20,720 --> 01:44:25,439
Speaker 1: have lost it because these administrations coddle them and coddle them,

1784
01:44:25,720 --> 01:44:30,280
Speaker 1: because the administrators at these colleges and universities don't want

1785
01:44:30,320 --> 01:44:33,080
Speaker 1: to have to ever have a tough conversation. They want

1786
01:44:33,200 --> 01:44:36,920
Speaker 1: their peers, their fellow colleagues and the faculty lounge and

1787
01:44:37,000 --> 01:44:39,720
Speaker 1: at the you know, the off campus cocktail parties and

1788
01:44:39,800 --> 01:44:42,439
Speaker 1: the president's residents and all the stuff that goes on.

1789
01:44:42,760 --> 01:44:44,720
Speaker 1: They want them to think well of them. And you know,

1790
01:44:44,960 --> 01:44:48,040
Speaker 1: college presidents make a lot of money, right. Tenured professors

1791
01:44:48,080 --> 01:44:50,799
Speaker 1: have a great lifestyle. I mean there's a real business

1792
01:44:50,960 --> 01:44:53,360
Speaker 1: aspect to all of this too. I mean I knew

1793
01:44:53,400 --> 01:44:56,000
Speaker 1: tenured professors at Amburus who are teaching like three hours

1794
01:44:56,040 --> 01:44:58,400
Speaker 1: a week and making a hundred and twenty thousand dollars

1795
01:44:58,400 --> 01:45:01,919
Speaker 1: a year starting You're teaching three hours a week everybody

1796
01:45:02,160 --> 01:45:05,600
Speaker 1: and writing articles for some you know, academic journals that

1797
01:45:05,680 --> 01:45:08,240
Speaker 1: nobody ever reads. It's a great gig. By the way,

1798
01:45:08,680 --> 01:45:11,760
Speaker 1: as a white male now I have I can I

1799
01:45:11,840 --> 01:45:13,519
Speaker 1: can't even tell you how many people have spoken to

1800
01:45:14,160 --> 01:45:19,240
Speaker 1: from top PhD programs in particularly the humanities, who are like,

1801
01:45:19,320 --> 01:45:21,920
Speaker 1: I can't get a job teaching anywhere, and and the

1802
01:45:21,960 --> 01:45:24,000
Speaker 1: everywhere they go they say, well, you're a white male. Sorry,

1803
01:45:24,280 --> 01:45:28,280
Speaker 1: Because there's a huge push, as you see, from these

1804
01:45:28,320 --> 01:45:31,160
Speaker 1: students who are demanding more diversity and hiring too. It's

1805
01:45:31,200 --> 01:45:33,040
Speaker 1: not even just the diversity of the student body. Now

1806
01:45:33,080 --> 01:45:38,479
Speaker 1: you've also got more diversity required in the faculty. And

1807
01:45:38,920 --> 01:45:42,639
Speaker 1: this is supposed to be about the most uh well

1808
01:45:42,840 --> 01:45:47,679
Speaker 1: rounded and highest level educational experience possible for these young people.

1809
01:45:48,000 --> 01:45:50,360
Speaker 1: It's really not supposed to be a big experiment in

1810
01:45:50,439 --> 01:45:54,360
Speaker 1: social engineering, but that's increasingly what it's turned into. But

1811
01:45:54,479 --> 01:45:58,759
Speaker 1: these campuses are just full of brats. They are brats.

1812
01:45:58,840 --> 01:46:01,160
Speaker 1: And if you doubt that that's the proper term, go

1813
01:46:01,320 --> 01:46:05,799
Speaker 1: back and watch the way Yale students who confronted Professor

1814
01:46:05,920 --> 01:46:10,680
Speaker 1: Kristakis in a quadrangle at Yale University of New Haven, Connecticut,

1815
01:46:11,560 --> 01:46:14,720
Speaker 1: screaming at him, cursing at him. And I'll say one

1816
01:46:14,760 --> 01:46:18,479
Speaker 1: thing for my scholarship. Jesuit High School or everybody in

1817
01:46:18,560 --> 01:46:20,880
Speaker 1: my high school is a private school. But every single

1818
01:46:20,960 --> 01:46:24,639
Speaker 1: student there was on a hundred thousand dollar for year

1819
01:46:24,840 --> 01:46:27,240
Speaker 1: full ride scholarship. It was a great place. It's called

1820
01:46:27,280 --> 01:46:31,240
Speaker 1: Regions High School. And I will say this, at least

1821
01:46:31,280 --> 01:46:33,439
Speaker 1: they never would have stood for that crap. I mean,

1822
01:46:33,479 --> 01:46:35,840
Speaker 1: if you had ever spoken to a teacher the way

1823
01:46:35,960 --> 01:46:37,720
Speaker 1: that these Yale kids in this video, you would have

1824
01:46:37,760 --> 01:46:39,360
Speaker 1: been out. I mean, you would have been out that day.

1825
01:46:39,960 --> 01:46:41,840
Speaker 1: They would have just shoved you out the door. And

1826
01:46:41,920 --> 01:46:45,040
Speaker 1: you know, sent your sent your book bag, you know,

1827
01:46:45,439 --> 01:46:47,559
Speaker 1: UPSD or something. I mean, you would have been toast

1828
01:46:48,320 --> 01:46:50,519
Speaker 1: and you had on these campuses. These kids get away

1829
01:46:50,560 --> 01:46:53,479
Speaker 1: with this and and it also, by the way, creates

1830
01:46:53,560 --> 01:46:56,799
Speaker 1: real divisions among the students too. You know, at Pittsur

1831
01:46:56,960 --> 01:47:01,720
Speaker 1: College they had a free speech wall again and cultural appropriation,

1832
01:47:02,160 --> 01:47:04,240
Speaker 1: and people were writing all over this wall, white girl,

1833
01:47:04,400 --> 01:47:08,679
Speaker 1: take off your hoops, saying that white females can't wear

1834
01:47:09,120 --> 01:47:14,280
Speaker 1: hoop earrings because it is a cultural appropriation. Now I

1835
01:47:14,520 --> 01:47:16,640
Speaker 1: don't know where they I mean, you know, hoop ear

1836
01:47:16,680 --> 01:47:19,559
Speaker 1: rings you can go back in the Aztecs and the Incas.

1837
01:47:19,640 --> 01:47:21,400
Speaker 1: I mean, you know, hoop earrings has been around a

1838
01:47:21,600 --> 01:47:24,640
Speaker 1: long time in a lot of places. But think of

1839
01:47:24,800 --> 01:47:30,439
Speaker 1: the gal I mean, the it's just mind boggling that

1840
01:47:30,560 --> 01:47:33,280
Speaker 1: these students would tell fellow students that they can't wear

1841
01:47:33,360 --> 01:47:35,920
Speaker 1: the earrings they want to wear because it's cultural appropriation

1842
01:47:36,600 --> 01:47:38,760
Speaker 1: that these professors who are supposed to be all about

1843
01:47:38,840 --> 01:47:41,840
Speaker 1: tolerance and all this other stuff don't step in and say,

1844
01:47:42,400 --> 01:47:46,599
Speaker 1: you know, this is just crazy. Is it's being Look,

1845
01:47:46,640 --> 01:47:48,840
Speaker 1: it's beyond the pill, it really is, and and it's

1846
01:47:49,360 --> 01:47:51,959
Speaker 1: it's an embarrassment for these schools. It is an embarrassment.

1847
01:47:52,000 --> 01:47:53,599
Speaker 1: And they don't know how to turn it off. I mean,

1848
01:47:53,680 --> 01:47:58,479
Speaker 1: they have created monsters with this diversity at all costs,

1849
01:47:58,600 --> 01:48:05,320
Speaker 1: multi worshiping, multiculturalism, worshiping of intersectionality, all this progressive clap trap.

1850
01:48:06,000 --> 01:48:09,040
Speaker 1: They don't know how to get back to a more

1851
01:48:09,120 --> 01:48:12,320
Speaker 1: normal place now. And by the way, all these you're like, buck,

1852
01:48:12,360 --> 01:48:15,080
Speaker 1: why should we care about all this stuff? All these students,

1853
01:48:15,439 --> 01:48:18,160
Speaker 1: they're gonna be voting soon, Well, some of them are

1854
01:48:18,200 --> 01:48:20,680
Speaker 1: voting already. They're gonna be voting soon. They're gonna be

1855
01:48:20,720 --> 01:48:23,000
Speaker 1: out there in corporate America. They're gonna be running for office,

1856
01:48:23,000 --> 01:48:25,680
Speaker 1: they're gonna be in media. They're gonna certainly be in newsrooms,

1857
01:48:25,720 --> 01:48:27,600
Speaker 1: and a lot of them will be teaching in academia,

1858
01:48:27,920 --> 01:48:31,559
Speaker 1: and they're gonna be passing on these ideologies that are

1859
01:48:31,640 --> 01:48:35,360
Speaker 1: really just I mean the ideology. Rather, that's just an

1860
01:48:35,439 --> 01:48:39,599
Speaker 1: excuse for petty totalitarianism. You know that they think it's benevolent,

1861
01:48:39,680 --> 01:48:44,080
Speaker 1: but it's not. It's just just nagging and annoying and uh,

1862
01:48:44,280 --> 01:48:46,840
Speaker 1: constantly trying to tell other people what to do. That's

1863
01:48:46,880 --> 01:48:49,879
Speaker 1: just what's going on in these campuses. And I managed

1864
01:48:49,920 --> 01:48:53,680
Speaker 1: to put together some furniture because I just moved and

1865
01:48:53,800 --> 01:48:56,320
Speaker 1: now I used to live kind of in a in

1866
01:48:56,360 --> 01:49:00,200
Speaker 1: a more hip area of of Manhattan, and now I

1867
01:49:00,240 --> 01:49:02,160
Speaker 1: lived just like right in the heart of all the

1868
01:49:02,760 --> 01:49:06,080
Speaker 1: all the commercial madness and the loudness and everything. But

1869
01:49:06,200 --> 01:49:08,160
Speaker 1: I like it. I just didn't want to spend time

1870
01:49:08,479 --> 01:49:10,880
Speaker 1: commuting to work. And you know, we're gonna have our

1871
01:49:10,960 --> 01:49:14,400
Speaker 1: the freedom Hunt is going to be moving. The actual

1872
01:49:14,479 --> 01:49:16,200
Speaker 1: location we do the show is gonna be moving in

1873
01:49:16,280 --> 01:49:18,639
Speaker 1: a matter of weeks, so I wanted to be close

1874
01:49:18,680 --> 01:49:21,880
Speaker 1: to close to the office. And anyway, moving is always

1875
01:49:21,880 --> 01:49:25,000
Speaker 1: an incredibly stressful experience. I'm always I think I remember

1876
01:49:25,080 --> 01:49:31,000
Speaker 1: reading that after a severe illness and a divorce, moving

1877
01:49:31,120 --> 01:49:33,800
Speaker 1: is like the third most stressful life experience most people

1878
01:49:33,880 --> 01:49:35,920
Speaker 1: go through. And I'll tell you, I totally believe it.

1879
01:49:36,000 --> 01:49:38,320
Speaker 1: I'm still kind of traumatized from just dealing with all

1880
01:49:38,360 --> 01:49:40,920
Speaker 1: the stuff and you know my back hurts, and you

1881
01:49:41,000 --> 01:49:44,080
Speaker 1: know my back hurts. It does though, it really does.

1882
01:49:44,160 --> 01:49:46,840
Speaker 1: There's a lot of stuff. Um but I did get

1883
01:49:46,880 --> 01:49:48,800
Speaker 1: to go through my old books and I made a

1884
01:49:48,880 --> 01:49:51,599
Speaker 1: new stack to read which is exciting. Uh So, team,

1885
01:49:51,640 --> 01:49:54,599
Speaker 1: please do check out bux x and dot com. Also, um,

1886
01:49:54,720 --> 01:49:58,400
Speaker 1: I would ask you to rate the podcast even if

1887
01:49:58,400 --> 01:50:00,840
Speaker 1: you're not a podcast listener, rate the show, which is

1888
01:50:00,880 --> 01:50:03,080
Speaker 1: what the podcast is. Just go to buck Sexton with

1889
01:50:03,120 --> 01:50:05,519
Speaker 1: American Now on iTunes and just give me a star

1890
01:50:05,720 --> 01:50:10,760
Speaker 1: rating all the stars you can, please, and also subscribe

1891
01:50:10,800 --> 01:50:12,639
Speaker 1: if you have not already shared it with a friend.

1892
01:50:13,120 --> 01:50:14,920
Speaker 1: A lot to talk to you about this coming week

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Speaker 1: until tomorrow, my friends, Shields High