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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 Trump is not any president of the United States,

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Speaker 1: take it to a bank. Together. We will make America

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

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Speaker 1: for all day. Buck Sexton with America. Now join the

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Speaker 1: conversation called Buck toll free at eight four four nine

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

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Speaker 1: to five, sharp mind, strong voice, Buck Sexton, Team Buck,

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Speaker 1: Welcome to the Freedom Hunt. Great to have you here

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Speaker 1: and honor privilege a pleasure as always. UH, phone lines

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Speaker 1: open because it is freestyle Friday. What's up eight four

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Speaker 1: four nine hundred to eight to five eight four four

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Speaker 1: nine hundred Buck, So do give a call let me

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Speaker 1: know what you think. UH. Some some big news breaking

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Speaker 1: last night, or or at least a narrative catching a

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Speaker 1: lot of attention last night on the social media. Now

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Speaker 1: pardoning Trump firing Muller that seemed to be the theme,

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Speaker 1: or rather Ken Trump, pardon himself, Ken Trump fire Muller.

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Speaker 1: These are the big questions that are out there, and

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Speaker 1: I think there was. It's interesting the press likes to

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Speaker 1: ask these questions because asking the question, of course, cast

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Speaker 1: suspersion aspersions on Donald Trump on his administration, because well,

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Speaker 1: if you need to pardon anybody, clearly they did something wrong, right,

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Speaker 1: And if you have to fire Mueller, clearly you are

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Speaker 1: trying to cover something up. So by asking the question,

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Speaker 1: it's a way of reinforcing in everyone's minds that there's

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Speaker 1: something wrong here, that's something bad is going on, that

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Speaker 1: there's catchy stuff happening. But it's interesting to watch because

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Speaker 1: I think there's also a little quiet panic in the

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Speaker 1: newsrooms of New York and d C. And I think

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Speaker 1: the editorial boards of the Washington Post, the New York Times,

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Speaker 1: I think over at CNN, MSNBC, and the various three

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Speaker 1: letter networks. I think that they may have had to

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Speaker 1: stop and think, hold on a second, Hold on, you

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Speaker 1: mean you mean no one's going to prison from the

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Speaker 1: Trump administration, probably, And the answer is yeah, actually, very

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Speaker 1: unlikely that that that's going to happen in the highly

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Speaker 1: unlikely scenario, but not impossible given these criminal investigations that

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Speaker 1: are happening. If let's say I don't know Donald Trump Jr.

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Speaker 1: Or that's an obvious one. If let's say, well, I

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Speaker 1: don't know Ryan's previous, he might be on his own.

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Speaker 1: But let's say like Jared Kushner got caught up in

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Speaker 1: some in a perjury trap, uh, and they want to

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Speaker 1: press charges against him. The president can just with with

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Speaker 1: a simple with a pretty straightforward directive, he can pardon Kushner,

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Speaker 1: just full just full stop. He can do it. He

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Speaker 1: can pardon anybody who wants to. The power to pardon

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Speaker 1: is one of the most awesome and unlimited. I don't

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Speaker 1: I mean awesome in the like dude awesome, but it's

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Speaker 1: one of the most awe inspiring and powerful tools that

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Speaker 1: the President of the United States has. Can can pardon

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Speaker 1: anyone for any any federal criminal offense before, during, or

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Speaker 1: after a prosecution and trial. So he can just he

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Speaker 1: can just wipe it away. Fascinating question, of course, that

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Speaker 1: was being bandied about by the people that use words

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Speaker 1: like bandied about um last night was that, well, is

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Speaker 1: the notion of whether the president could pardon himself if

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Speaker 1: need be. Uh. That's sort of in a category I

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Speaker 1: would think the answer would would be yes, But it's not.

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Speaker 1: There's some reason to believe that No, Actually, impeachment proceedings

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Speaker 1: are considered to be the precursor, or impeachment proceedings were

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Speaker 1: thought by the founders to be, uh what comes before

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Speaker 1: the possibility of criminal chart is clearly, if you're the president,

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Speaker 1: you're being impeached for a criminal offense, you would just

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Speaker 1: want to, like, before they get rid of you, you

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Speaker 1: you'd want to pardon yourself. So that's now getting talked

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Speaker 1: about a lot. And as I said that, they're talking

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Speaker 1: about it to make the Trump administration look bad, no

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Speaker 1: question about it. Right there, pushing this narrative because it's

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Speaker 1: a way of uh making well alluding to the guilt

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Speaker 1: of the Trump administration. It's a way of getting people

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Speaker 1: thinking about what a guilty Donald Trump as president would do.

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Speaker 1: But then there's also that a little moment of like,

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Speaker 1: oh wait a second, that's a real thing where he

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Speaker 1: could pardon anybody. Now, I think that most of the journalists,

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Speaker 1: the Democrats, the people who are pushing the narrative really

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Speaker 1: would be happy if they could just get the political

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Speaker 1: damage done to the Trump administration of criminal charges from

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Speaker 1: this Mueller probe. Remember, you got former FBI director Mueller,

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Speaker 1: who's just got a huge team together. They're looking at

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Speaker 1: all kinds of stuff, including Trump's finances, stretching back for

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Speaker 1: who knows how long, and there are some very real

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Speaker 1: concerns that the investigation has already stretched beyond its original mandate.

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Speaker 1: So you've got people that are asking about whether Trump

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Speaker 1: could pardon anybody. The the answer to whether Trump could

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Speaker 1: pardon anybody in the White House is yes, can you

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Speaker 1: pardon himself? Yes, I think so. Um. And so there

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Speaker 1: you have it. And then and then you get to

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Speaker 1: the issue of of Mueller and what's going on. What's

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Speaker 1: going on with the Mueller investigation? Um. By the way,

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Speaker 1: so people are saying that Trump can pardon himself, and

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Speaker 1: let me just point out legal experts, but let me

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Speaker 1: point out that that's a we don't know question because

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Speaker 1: it's never happened. It's never happened before, and I don't

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Speaker 1: know how that would how that would play out. UM.

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Speaker 1: Now on the Special Council, it's a little trickier. Can

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Speaker 1: he fire the Special Counsel? This was also being raised

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Speaker 1: because Mueller is now based on the leaks. Keep in mind,

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Speaker 1: this is supposed to be a secret investigation, and yet

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Speaker 1: we're hearing all this stuff about it. But based on

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Speaker 1: the leaks of the investigation of what it's looking at already,

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Speaker 1: the press has got all these sources that are telling

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Speaker 1: them stuff, whether it's true or not. Um, yeah, it

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Speaker 1: looks like Mueller could get fired by by Trump. Um

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Speaker 1: it looks like that is possible. So these are the

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Speaker 1: these are the places where the media is going today.

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Speaker 1: And if he were to fire him, by the way, uh,

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Speaker 1: if he were to fire him then and I think

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Speaker 1: you would see I don't know. Actually, the press has

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Speaker 1: been so uh anti Trump from the beginning, and they've

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Speaker 1: been so panicked about this whole administration that what does

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Speaker 1: the media equivalent of def Con one look like? Right?

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Speaker 1: What is the bridge too far with Trump? What is

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Speaker 1: the last straw? What's the this this shall not stand man?

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Speaker 1: What is that with Trump? When it comes to Because

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Speaker 1: I think they've been there for a long time. So there,

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Speaker 1: I don't know if there's any more leeway. I think

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Speaker 1: the speaker volume has turned up all the way. Those

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Speaker 1: of you are fans of this is spinal tap, They've

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Speaker 1: already got it to eleven. There's nowhere else for it

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Speaker 1: to go. So here we are now with the possibility

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Speaker 1: of a Trump pardon for some of the folks around

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Speaker 1: him looming, and the possibility of Trump maybe getting rid

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Speaker 1: of Muller, and it all then also points in the

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Speaker 1: direction of people just don't care the way the media

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Speaker 1: cares about all of this. There's just a I think

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Speaker 1: a widespread sentiment among a lot of Trump supporters Trump

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Speaker 1: voters that even if you were to fire Muller, well,

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Speaker 1: so what, there shouldn't have been a special counsel in

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Speaker 1: the first place. In fact, I think you could argue

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Speaker 1: pretty easily that the only reason there is a special

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Speaker 1: counsels because Trump made a mistake in his public pronouncements

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Speaker 1: and opened up the door for it. And all this

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Speaker 1: criticism of Jeff Sessions. I saw what's former acting Attorney

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Speaker 1: General Sally Yates last night on the Twitter. Oh, it's

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Speaker 1: an assault on the Justice Department, and you know, undermines

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Speaker 1: our democracy. I mean, you know, the sanctimony from the

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Speaker 1: anti Trump Democrats is just stifling. You know, it's just oh,

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Speaker 1: please enough, all right. It's always it's always like they're

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Speaker 1: trying to outdo the funeral oration by Pericles or something.

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Speaker 1: I mean, they're just, uh, there's there's no end to

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Speaker 1: the the grandy os terms that are used to describe

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Speaker 1: Trump's destruction of America by the anti Trump left, including

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Speaker 1: former Acting Attorney General Sally Yates, who is suggesting that

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Speaker 1: Trump is not allowed to criticize the Jeff Sessions accusal decision. Now,

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Speaker 1: that's a decision that Sessions made. Agree with that or

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Speaker 1: disagree with it. It was a discretionary choice. It was

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Speaker 1: not mandatory under the law. Sessions did not have to

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Speaker 1: do it. Therefore, it's completely understandable for the President to say, Look,

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Speaker 1: I don't like it. I don't think that he should

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Speaker 1: be going after Sessions as hard as he has in public.

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Speaker 1: I don't agree with that, but it's not an assault

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Speaker 1: on our democracy. And by the way, where was Sally Yates?

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Speaker 1: Where were these titans of the Republic when Barack Obama

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Speaker 1: was giving us I know, this is what about isn't?

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Speaker 1: But you gotta do what about isn't? With Obama? Because

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Speaker 1: this is why the media narrative just doesn't. They're throwing

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Speaker 1: these punches and they're not landing, and they're like, what's

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Speaker 1: going on. We're putting all we've got into them, and

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Speaker 1: people are saying, sorry, you know, impervious to all of

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Speaker 1: your best efforts so far, media, because where were the

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Speaker 1: Sally Yates is where I mean? Eric Holder? Now, by

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Speaker 1: the way, also out on Twitter, I see you know,

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Speaker 1: you've got some former Obama people who are Obama administration

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Speaker 1: officials who are coming out, you know, Sally Yates, Eric Holder.

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Speaker 1: I'm sure there will be more. You're gonna hear more

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Speaker 1: from Hillary. How in the days I had no question? Uh?

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Speaker 1: And there are where were they there when Barack Obama

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Speaker 1: stood in front of a joint session of Congress and

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Speaker 1: said something, well, first of all, denigrated the Supreme Court

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Speaker 1: has said that it had opened up opened up elections

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Speaker 1: to foreign money for an influence, endless foreign influence, which

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Speaker 1: really undermines what is a coequal branch of government. You see,

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Speaker 1: Sally Yates and some of these others out there seemed

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Speaker 1: to forget the d o J is, in fact a

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Speaker 1: part of the executive brand. The impartiality of d o

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Speaker 1: J is a guideline, not a rule per se. And

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Speaker 1: the Supreme Court, however, is actually a coequal branch of

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Speaker 1: government with the Congress and the President. When it was

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Speaker 1: Obama stood in front of the Supreme Court in front

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Speaker 1: of the American people, tens of millions of people watching,

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Speaker 1: and accused the Supreme Court of undermining our democracy. And

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Speaker 1: also just what he saw was flatly false, completely wrong.

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Speaker 1: It was it was a a reading of that case,

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Speaker 1: a reading of law that a first year law student

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Speaker 1: would be laughed at by his peers. But you know

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Speaker 1: it was Obama, so it had it was brilliant because

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Speaker 1: you know Obama, everything he does is brilliant. But where

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Speaker 1: were these guardians of our democracy? I know this. It's

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Speaker 1: a republic, not a democracy. Yeah, we but we have

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Speaker 1: democratic processes, and a republican people use these terms interchangeably,

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Speaker 1: rightly or wrongly. That's what happens. So this is how

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Speaker 1: This is how I see it right now. This is

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Speaker 1: I guess every day, is how I see it when

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Speaker 1: I'm on the show. But there's a lot of questions

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Speaker 1: about the possibility of the Muller investigation getting shot down

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Speaker 1: by Trump. I I would say that Trump wouldn't do that,

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Speaker 1: except I'm not sure that Trump won't do that, So

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Speaker 1: I think any other president wouldn't do it. But Trump,

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Speaker 1: I don't think he really cares how much gnashing of teeth,

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Speaker 1: how much sadness, how much rage and and and fury

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Speaker 1: is directed him from the media, because what else can

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Speaker 1: they really do at this point. They say he's a trader,

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Speaker 1: they say he's a criminal. They hate him, they hate

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Speaker 1: his family. How much more anger can they direct at him?

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Speaker 1: I think they've They're already giving everything they've got every day.

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Speaker 1: So uh, let's take some call eight four four two

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Speaker 1: five eight four four buck. Oh, it's actually movie quote

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Speaker 1: Friday to everybody, we can kill it movie do the goos?

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Speaker 1: Do you get together? Have a few less? Quote freeze

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Speaker 1: your mind? Fridays action movie quote Fridays, let's see what

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Speaker 1: you got hitting a break, will be right back. It's

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Speaker 1: a little It's Friday, let's do it. Uh. We will

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Speaker 1: go to Bob in Virginia on w p T. I

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Speaker 1: Hey Bob, Yes, sir, glad to talk to you again.

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Speaker 1: I think we're going into a little bit of a lull.

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Speaker 1: I just think the little economic news and Mitch calling

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Speaker 1: a vote next week. I think things are getting thrown

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Speaker 1: off a bit and putting a Scaramucci in the box. Uh.

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Speaker 1: I think he's throwing curveballs, and you know, let Donald

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Speaker 1: call the bluff, throw Muller out. I don't care. It's

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Speaker 1: not gonna bother me. Uh. I think we're just getting uh,

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Speaker 1: you know, I think we're catching a little breath here.

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Speaker 1: I really feel that for some reason, and probably you're right.

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Speaker 1: I don't care what anybody thinks anymore. I really don't. Yeah,

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Speaker 1: the media has numbed us to outrage from them, very

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Speaker 1: hard to to care when I mean they've already leveled

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Speaker 1: accusation of treason. I mean I just got a few

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Speaker 1: tweets from some some some team buck listeners saying, look,

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Speaker 1: the fact we've even talking about pardons. We haven't even

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Speaker 1: identified a crime yet. How how can we be talking

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Speaker 1: about pardoners We don't even know what the crime would be.

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Speaker 1: Collusion is not a crime. So this is this is

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Speaker 1: now a discussion of pardons for as yet not as

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Speaker 1: yet undetermined possible crimes. Bob, this is looney Tunes. Yeah,

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Speaker 1: it's just crazy, and like, yeah, you're talking about your movie.

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Speaker 1: You can't handle the truth. That's when it all comes down. Everybody.

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Speaker 1: Everybody likes a few good men here and there. Thank

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Speaker 1: you very much, Bob, Shield tie and have a great weekend. Uh,

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Speaker 1: let's take and in Virginia on w k C. I Hey, Anne,

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Speaker 1: But evening, Mr Sexton, Hello, Anne, are you? Are you

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Speaker 1: as disappointed? If you know Spicers leaves to let mean

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Speaker 1: the end of Melissa McCarthy and Sanel I don't know.

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Speaker 1: I hope that they can they can keep that going

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Speaker 1: for a little bit, because that was the first funny

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Speaker 1: thing I had seen it a long time on us

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Speaker 1: and now no kidding. Yeah, alright, and have a great weekend.

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Speaker 1: Thank you very much for calling in. I appreciate it.

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Speaker 1: Shield Taig Greg in Oklahoma, what's up, Greg? Hey, buck Um.

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Speaker 1: I think the media might need to open their lens

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Speaker 1: a little bit. Instead of focusing on how fake news

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Speaker 1: e the fake news is and how Russia is in

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Speaker 1: every crevice of our lives, we might want to turn

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Speaker 1: our eyes to the Middle East and take a look,

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Speaker 1: a good, hard look at what's going on in Iraq. Um.

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Speaker 1: We have now seen kind of a celebration that Moses

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Speaker 1: has been quote unquote liberated. Um, when you look at

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Speaker 1: the pictures, I don't I don't see the total destruction

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Speaker 1: of the third major sunny city destroyed as sort of

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Speaker 1: a liberation. I think we have so many have some

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Speaker 1: serious talks about what's going on here and what are

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Speaker 1: the steps moving forward? Um. The longer we allow the

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Speaker 1: Iraqi government to be holding to I Ran, the bigger

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Speaker 1: this issue, um is going to be. I think even

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Speaker 1: though ices is diminished, the sunning world is watching and

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Speaker 1: with all these Shea militias, Um, you know, destroying cities

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Speaker 1: after city after city, there is going to be resentment

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Speaker 1: in likelihood of some sort of reprisal at some point,

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Speaker 1: whether it's you know, in the next six months, so

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Speaker 1: the next year. Obviously, this blood feud between the Sunnis

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Speaker 1: and she Is is hundreds of years old, and these

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Speaker 1: things are not easily forgotten. Um. I have you seen

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Speaker 1: the celebration of this, this whole Mosle has been liberated.

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Speaker 1: Oh of course. Yeah. But I'm gonna do a buck

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Speaker 1: brief later on in the show because we have a

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Speaker 1: time on this Friday to get into it about what

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Speaker 1: I think the next step for Isis will be in

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Speaker 1: a global sense. But yes, it's it's tough because I

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Speaker 1: understand the design are the rocky government, Greg on one hand,

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Speaker 1: to come out and say, see, we've we've taken back

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Speaker 1: this city. But as as you're saying, well, it was

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Speaker 1: taken back with a lot of help from Shia militia's

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Speaker 1: and it's been turned to rubble in whole neighborhoods. We've

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Speaker 1: you can see there's video of it online, you can

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Speaker 1: see it. I mean, it looks like like Dresden in

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Speaker 1: World War Two in some places. Absolutely. And I think

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Speaker 1: you know the issue they're having right now is they're saying,

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Speaker 1: it's what I've seen reports of, it's gonna take ten

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Speaker 1: years to just clear the city of Ia d s

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Speaker 1: and booby traps and minds and things like that. Um,

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Speaker 1: I mean, ten years seems awfully optimistic for the kind

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Speaker 1: of forces that they have in direct to to do

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Speaker 1: bomb disposal and things like that. I just think that

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Speaker 1: this is gonna be a real thorn in the side.

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Speaker 1: And I know we're sending more troops there right now.

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Speaker 1: I know an Army brigade or um is being deployed

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Speaker 1: to Iraq, And this is just I don't know what

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Speaker 1: we're supposed to do here, Buck, but it's definitely getting

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Speaker 1: in bed with Tyranne. Torn Um is not I think

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Speaker 1: it's fair Greg to say mosl Is mosl is a

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Speaker 1: a is a destroyed city. I mean, there they can

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Speaker 1: rebuild it, but it has been in no small part destroyed.

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Speaker 1: I know there's still a lot of buildings, a lot

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Speaker 1: of people living there, but it is nonfunctional as a

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Speaker 1: normal as a normal urban environment, right And kind of

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Speaker 1: like I said, I mean Felluja of Romani and now

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Speaker 1: Mosl this is there. This is Baghdad's liberation of these cities. Um.

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Speaker 1: And I just see this as being a massive problem

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Speaker 1: within the Sunning Committee community whether they're not going to

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Speaker 1: allow this or left this this. Yeah, but you raise

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Speaker 1: a very good point, Greg, which is that it's the Sunny,

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Speaker 1: it's the Sunni Arab majority cities of Iraq that have

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Speaker 1: been leveled Naia exactly, and that that comes to where

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Speaker 1: the bag We need to put pressure on the Bagdad

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Speaker 1: government to disband all of these Shia militias and then

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Speaker 1: allow Sunny to rejoin the National Police Force and the

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Speaker 1: National Army because I know a lot of those people

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Speaker 1: were urged from the army over the last three and

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Speaker 1: a half years to five years. Greg, great talking man.

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Speaker 1: Thank you for your service and thank you for your call.

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Speaker 1: Always good to have Greg from Team Buck give us

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Speaker 1: a ring, uh team we are going. We'll take some

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Speaker 1: more calls after the break, and then I've got I've

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Speaker 1: got a special surprise guest in this hour. Do you

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Speaker 1: guys know that next week is Shark Week? I know

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Speaker 1: we will talk more politics an hour two Sean Spice

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Speaker 1: or shake Up. I've got uh National Junk Food Day

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Speaker 1: to disgusted you a lot of things coming. Stay with me.

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Speaker 1: The Freedom Hunt rocks online too. You can hang out

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Speaker 1: with Team Buck anytime. Plus get plus the latest news

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Speaker 1: and analysis go to Buck Sexton dot com. That's buck

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Speaker 1: Sexton dot com. A lot of the Buck is back

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Speaker 1: President Trump. Have confidence that Robert Mueller will conduct a

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Speaker 1: fair investigation. Uh, you know, at this point, I don't

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Speaker 1: have any reason to see otherwise, but I have not

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Speaker 1: had a chance to ask the President. I'd want to

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Speaker 1: get clarity on that before. Yeah, I think I think

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Speaker 1: Sarah Agaves enders should get some clarity on that one

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Speaker 1: before the addres uh Miller fair investigation. I worry that

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Speaker 1: there's a a feeling among Mueller, maybe not even vocalized

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Speaker 1: to anyone except his innermost circle, and but there's a

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Speaker 1: feeling that, you know, the FBI's integrity was besmirched by

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Speaker 1: Trump by firing Comey, and so it's payback time. I

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Speaker 1: do have that concern. That's something that I I think

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Speaker 1: could be very real. By the way, uh, this just in.

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Speaker 1: There will be some testimony next week in front of

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Speaker 1: the Senate Judiciary Committee, including Donald Trump JUNR. I know

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Speaker 1: Jared Kushner's testifying in front of the Senate Intelligence Committee

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Speaker 1: behind closed doors. UM Paul Manafort will be testifying before

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Speaker 1: the Senate Judiciary Committee as well. But there was one

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Speaker 1: other person who was supposed to testify in front of

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Speaker 1: the Senate Judiciary Committee whom didn't get nearly as much attention,

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Speaker 1: of course as the rest, and that's Glenn Simps of

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Speaker 1: Fusion GPS. Fusion GPS is that oppo research organization that

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Speaker 1: was behind the dossier. Well, according to NBC News here

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Speaker 1: fu and this is breaking news my friends, just now

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Speaker 1: here on Friday, Friday, late in the day, Fusion GPS

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Speaker 1: Glenn Simpson says he can't attend next week's Judiciary Committee hearing,

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Speaker 1: is out of country and says he'd plead fifth anyways.

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Speaker 1: So this guy's like, yeah, sorry, gonna be overseas, so

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Speaker 1: can't do that whole testifying before the Senate thing. And

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Speaker 1: beat Dubs, by the way, would plead the fifth, would

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Speaker 1: assert his right to uh silence in an effort to

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Speaker 1: avoid self incrimination. So we do have somebody who's pleading

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Speaker 1: the fifth People have been saying, what if Jared Kushner

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Speaker 1: pleaded the faith or what if Donald Trump Jr. Doesn't?

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Speaker 1: And I do think that Donald Trump Junior learned the

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Speaker 1: hard way. You have to be careful what you say

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Speaker 1: in public about this stuff, even if you've done nothing wrong.

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Speaker 1: You have to be very precise and forthright because you're

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Speaker 1: not going to get the benefit of doubt from this

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Speaker 1: media at all. Quite the opposite. They're looking to entrap you.

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Speaker 1: But there we have it. About a bunch more calls up.

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Speaker 1: Wanted to make sure that folks aren't just waiting, So

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Speaker 1: let's get him in here. We have Tom in Ohio

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Speaker 1: on w w V A Hey, Tom, Hey, good, definitely book.

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Speaker 1: You know, I gotta tell you as far as Trump

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Speaker 1: getting rid of mull Mueller, you know what he needs

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Speaker 1: to do is to get on Jeff Sessions to start

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Speaker 1: the grand jury investigations number one on whether there was

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Speaker 1: any type of collusion between Mueller and Comey and the

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Speaker 1: acting Attorney General, because when you go back to the

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Speaker 1: testimony of Comey, he seems to be bragging that what

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Speaker 1: did happen was what he expected to happen. In terms

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Speaker 1: of Mueller being UH picked, now not going beyond it,

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Speaker 1: we take the look at the people that Mueller picked

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Speaker 1: in terms of Clinton supporters and Clinton lawyer and so forth.

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Speaker 1: I mean, it's so one side. And then on addition

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Speaker 1: to that, in addition to that, UH Sessions should be

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Speaker 1: looking into all the leaks have taken place, the unmasking

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Speaker 1: by Obama officials, and even going back to Hillary Server

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Speaker 1: and UH the foundation, which you know, to my knowledge,

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Speaker 1: are still within the statute of limitations. In other words,

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Speaker 1: why isn't he getting off a dead center and supporting

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Speaker 1: his president or get out of the way. These are

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Speaker 1: all very interesting questions, Tom. I do think that there

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Speaker 1: that the possibility of the Clinton email coming up over

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Speaker 1: the course of the Special Council investigation is very real.

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Speaker 1: I I could see that happening. I can't tell you how.

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Speaker 1: I mean, no one can tell you how. I think

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Speaker 1: exactly right now that would would be the case. But

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Speaker 1: given what we've been told about Russia and all the involvement,

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Speaker 1: remember as a mandate having to do do with the Russia

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Speaker 1: involvement in the election, well, if there were officials who

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Speaker 1: were requesting unmasking as part of trying to figure out

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Speaker 1: what's going on with Russia or whatever, that's a legitimate

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Speaker 1: line of inquiry for the Special Council. Okay, that may be,

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Speaker 1: But you know what I'm saying is my concern is

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Speaker 1: that he may look at it, but he also may

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Speaker 1: not pretty weight into it, or you know, just look

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Speaker 1: at it the super shore superficially. I'm saying, why isn't

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Speaker 1: the Justice Department on behalf of the administration looking into it? Oh?

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Speaker 1: Well they may, um I think because you know, Tom,

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Speaker 1: I actually don't have a good answer as to why

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Speaker 1: they're not, because it's, uh, they don't want to be

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Speaker 1: seen as relitigating what the Justice Department already put aside.

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Speaker 1: I don't know. I mean, to me, that's the the

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Speaker 1: they're really If you want to fight fight back and

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Speaker 1: fight tough with the whole Democrat apparatus, you reopen the

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Speaker 1: Hillary email investigation and say, look, we don't think this

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Speaker 1: was handled properly. It's looking at that Steel situation with

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Speaker 1: the dossier who paid him. I mean, there's so many

425
00:24:59,400 --> 00:25:03,119
Speaker 1: things there the Sessions could be looking into that, you know,

426
00:25:03,160 --> 00:25:05,520
Speaker 1: at the very least. Even if there's nothing there would

427
00:25:05,560 --> 00:25:08,399
Speaker 1: hit the media. It would have the media would have to,

428
00:25:08,800 --> 00:25:11,439
Speaker 1: you know, play it to some extent and you know,

429
00:25:11,520 --> 00:25:13,800
Speaker 1: get it off of Russia, Russia, Russia, which is really

430
00:25:13,880 --> 00:25:16,800
Speaker 1: killing Trump and anything else he's trying to do. All right, Tom,

431
00:25:16,840 --> 00:25:19,000
Speaker 1: thank you very much for calling in, Uh Larry in

432
00:25:19,040 --> 00:25:22,760
Speaker 1: Ohio on w M A N. Hey, Larry Hi Buck

433
00:25:22,880 --> 00:25:27,480
Speaker 1: and enjoy your show. Thank you, sir, appreciate you calling. Uh.

434
00:25:27,760 --> 00:25:32,040
Speaker 1: Couple nights of guys listen to you. And you said

435
00:25:32,160 --> 00:25:37,600
Speaker 1: something about Trump meeting with the New York Times. Um,

436
00:25:37,800 --> 00:25:40,960
Speaker 1: you wouldn't really in favor of it, and which I agree.

437
00:25:41,560 --> 00:25:45,119
Speaker 1: But there's an old saying keep your friends close and

438
00:25:45,240 --> 00:25:51,320
Speaker 1: your enemies closer. Don Trump. President Trump is a street

439
00:25:52,000 --> 00:25:59,320
Speaker 1: smart New York businessman. He's not dumb. H. He had

440
00:25:59,359 --> 00:26:06,720
Speaker 1: a reason for doing that. Uh. My main point is

441
00:26:06,840 --> 00:26:10,639
Speaker 1: I've run this by you before and I'll run this

442
00:26:10,920 --> 00:26:18,200
Speaker 1: by again. That defence that they're gonna start to construct

443
00:26:18,359 --> 00:26:26,600
Speaker 1: or have constructed along the Mexican border, forget take a

444
00:26:26,640 --> 00:26:36,840
Speaker 1: division of troops out of um National Guard, No the

445
00:26:37,040 --> 00:26:42,159
Speaker 1: fort in in in Tech for Hood, no, you know,

446
00:26:42,440 --> 00:26:45,320
Speaker 1: for Hood and Texas. Larry God bless me. I appreciate

447
00:26:45,359 --> 00:26:47,440
Speaker 1: you calling it, but we actually have to run into

448
00:26:47,520 --> 00:26:49,960
Speaker 1: a break here, so I apologize for for cutting off.

449
00:26:49,960 --> 00:26:51,679
Speaker 1: Please do call back soon though. We will take the

450
00:26:51,720 --> 00:26:54,440
Speaker 1: rest of your query and we have to run because

451
00:26:54,480 --> 00:26:57,080
Speaker 1: we have our friend from Shark Week joining and then

452
00:26:57,080 --> 00:26:59,600
Speaker 1: we'll talk more politics. Stay with me, all right, team back.

453
00:26:59,680 --> 00:27:03,800
Speaker 1: I'm so we've been talking about politics and collusion, investigations

454
00:27:03,840 --> 00:27:05,959
Speaker 1: and Russia and all that stuff. Let's put all of

455
00:27:05,960 --> 00:27:08,439
Speaker 1: that aside, because, after all, we are in the midst

456
00:27:08,480 --> 00:27:11,320
Speaker 1: of a freestyle Friday. It is the middle of summer,

457
00:27:11,640 --> 00:27:14,200
Speaker 1: and for those of you who may not know, next

458
00:27:14,240 --> 00:27:17,080
Speaker 1: week is Shark Week. So I want to talk to

459
00:27:17,119 --> 00:27:20,600
Speaker 1: you about some sharks because I find sharks absolutely fascinating

460
00:27:20,960 --> 00:27:22,920
Speaker 1: and I want to bring on an expert to help

461
00:27:23,040 --> 00:27:26,080
Speaker 1: us wade through the issue. See what I did there,

462
00:27:26,119 --> 00:27:29,120
Speaker 1: I know, throw something at me amy. Dr Chris Low

463
00:27:29,280 --> 00:27:32,480
Speaker 1: joins US now. He's a marine biology professor at California

464
00:27:32,480 --> 00:27:35,640
Speaker 1: State University, Long Beach. He's also director of the cow

465
00:27:35,760 --> 00:27:38,640
Speaker 1: State Long Beach Shark Lab and has been working for

466
00:27:38,680 --> 00:27:40,959
Speaker 1: more than a year with Discovery Channel to produce an

467
00:27:40,960 --> 00:27:45,040
Speaker 1: episode for Shark Week titled Sharks and the City, l A.

468
00:27:45,440 --> 00:27:48,040
Speaker 1: Dr Low, great to have you, Thanks for having me.

469
00:27:48,520 --> 00:27:50,200
Speaker 1: All right, let's let's just kick it right off. But

470
00:27:50,320 --> 00:27:52,480
Speaker 1: tell me about in shark week son that I always

471
00:27:52,520 --> 00:27:55,200
Speaker 1: get excited about. But what is Sharks in the City,

472
00:27:55,359 --> 00:27:59,000
Speaker 1: l A. So, Sharks in the City is basically telling

473
00:27:59,000 --> 00:28:01,359
Speaker 1: a story of what we think is happening with white

474
00:28:01,359 --> 00:28:05,960
Speaker 1: sharks in the Pacific. And basically, shark populations are going up.

475
00:28:06,720 --> 00:28:10,840
Speaker 1: So with shark populations increasing, new white sharks have to

476
00:28:10,880 --> 00:28:14,040
Speaker 1: find new places to live and hunt, and we think

477
00:28:14,080 --> 00:28:17,480
Speaker 1: southern California may be one of those places. And you

478
00:28:17,720 --> 00:28:21,200
Speaker 1: have evidence of this because of increased predation of certain

479
00:28:21,240 --> 00:28:24,199
Speaker 1: species or what's a are you tagging these sharks and

480
00:28:24,240 --> 00:28:25,879
Speaker 1: following them? And what I know you don't want to

481
00:28:25,880 --> 00:28:27,960
Speaker 1: give away everything is in the episode. But what's what's

482
00:28:28,040 --> 00:28:32,359
Speaker 1: driving this? Uh this thesis? Well, number one, Southern California

483
00:28:32,440 --> 00:28:34,640
Speaker 1: is known as the nursery for white shirks, So this

484
00:28:34,680 --> 00:28:36,800
Speaker 1: is where big females come to give birth to their

485
00:28:36,840 --> 00:28:39,280
Speaker 1: young and then those little sharks show up and hang

486
00:28:39,320 --> 00:28:42,560
Speaker 1: out off our beaches. But that's only part of the story.

487
00:28:42,720 --> 00:28:44,600
Speaker 1: The other part of the story is based on the

488
00:28:44,640 --> 00:28:47,800
Speaker 1: fact that our marine mammal populations have recovered quite well.

489
00:28:48,120 --> 00:28:50,200
Speaker 1: We have seals and sea lions all over the place,

490
00:28:50,600 --> 00:28:53,360
Speaker 1: but they primarily used the offshore islands, and what we've

491
00:28:53,400 --> 00:28:57,000
Speaker 1: seen is increased predation on those seals and sea lions.

492
00:28:57,440 --> 00:29:00,479
Speaker 1: So that tells us that there are more large shark around,

493
00:29:00,840 --> 00:29:03,640
Speaker 1: not just the ones giving birth to these babies. So

494
00:29:03,680 --> 00:29:06,600
Speaker 1: we've been going out on expeditions to those islands trying

495
00:29:06,640 --> 00:29:09,480
Speaker 1: to tag those sharks so we can see how much

496
00:29:09,560 --> 00:29:12,480
Speaker 1: time do they spend in southern California. People always think

497
00:29:12,480 --> 00:29:16,280
Speaker 1: of great white sharks as the ultimate alpha predator. Um

498
00:29:16,360 --> 00:29:18,440
Speaker 1: when when we talk about Shark Week, I know that

499
00:29:18,760 --> 00:29:21,600
Speaker 1: there's always, uh, there are people who want to ask

500
00:29:21,640 --> 00:29:24,360
Speaker 1: lots of questions about attacks. But just put that into

501
00:29:24,480 --> 00:29:27,560
Speaker 1: perspective for us, because once every I don't know, six

502
00:29:27,600 --> 00:29:30,880
Speaker 1: months or so, I'll read something about someone somewhere getting

503
00:29:30,920 --> 00:29:34,000
Speaker 1: bitten by a shark. What are the chances state side

504
00:29:34,240 --> 00:29:36,480
Speaker 1: that you have to actually have to worry about a

505
00:29:36,480 --> 00:29:40,000
Speaker 1: white shark or any kind of shark coming after you. Well,

506
00:29:40,040 --> 00:29:42,520
Speaker 1: that's a really good question, and the bottom line is

507
00:29:42,680 --> 00:29:46,800
Speaker 1: based on total statistics throughout you asked one in seventeen million,

508
00:29:47,760 --> 00:29:50,000
Speaker 1: that's your chances of being bitten by a shark. It's

509
00:29:50,120 --> 00:29:54,520
Speaker 1: pretty darn low. Now, I assume it goes up if

510
00:29:54,560 --> 00:29:57,320
Speaker 1: you are engaged in certain activities. People always think of

511
00:29:57,360 --> 00:29:59,840
Speaker 1: the coast of California as a place there's a lot

512
00:29:59,840 --> 00:30:03,080
Speaker 1: of uh surfing, boogie boarding, and that's where you get

513
00:30:03,120 --> 00:30:07,720
Speaker 1: into this issue of misidentification, where a great white shark

514
00:30:07,840 --> 00:30:10,400
Speaker 1: may go after somebody thinking that it's one of those

515
00:30:10,880 --> 00:30:16,160
Speaker 1: uh marine mammals you mentioned, seals, sea lions, etcetera. Yeah, exactly.

516
00:30:16,280 --> 00:30:20,640
Speaker 1: So we still don't really know why sharks occasionally bite people.

517
00:30:20,920 --> 00:30:22,920
Speaker 1: You know, we have some we have some theories, we

518
00:30:22,960 --> 00:30:25,800
Speaker 1: have some hypotheses as to why that may happen. So

519
00:30:25,880 --> 00:30:28,800
Speaker 1: one possibility is sharks bite people because they confuse us

520
00:30:28,840 --> 00:30:31,719
Speaker 1: for food. They're in a feeding mode. They either mistake

521
00:30:31,800 --> 00:30:34,200
Speaker 1: us for their normal prey, they take a bite and

522
00:30:34,240 --> 00:30:38,200
Speaker 1: realize that wasn't what they expected, So the person's left

523
00:30:38,240 --> 00:30:40,400
Speaker 1: and swims away and hopefully it gets back to the

524
00:30:40,400 --> 00:30:44,400
Speaker 1: beach safely. The other possibility, and one that frequently isn't considered,

525
00:30:44,480 --> 00:30:47,200
Speaker 1: is that sharks may bite people for defensive reasons. In

526
00:30:47,240 --> 00:30:49,960
Speaker 1: other words, we may just be in their personal space

527
00:30:50,200 --> 00:30:53,360
Speaker 1: and they're trying to defend themselves. So unfortunately, we don't

528
00:30:53,440 --> 00:30:57,640
Speaker 1: know a lot about what instigates those those situations, but

529
00:30:57,760 --> 00:31:01,040
Speaker 1: we have learned some things just based on sheer statistics.

530
00:31:01,400 --> 00:31:04,320
Speaker 1: Number one, if you're at a remote location and you're

531
00:31:04,320 --> 00:31:07,080
Speaker 1: by yourself, you're much more likely to be bitten than

532
00:31:07,080 --> 00:31:09,200
Speaker 1: if you're in a group. So what we always tell

533
00:31:09,280 --> 00:31:11,960
Speaker 1: people is stay in a group. If you're surfing in

534
00:31:12,000 --> 00:31:14,680
Speaker 1: a populated beach, your chances of being bitten are much

535
00:31:14,680 --> 00:31:17,800
Speaker 1: lower than if you're off by yourself. Interesting, I did

536
00:31:17,840 --> 00:31:21,840
Speaker 1: not know that Marine biology professor Dr Chris Lowe from

537
00:31:21,960 --> 00:31:24,680
Speaker 1: cal State University Long Beach. He also has been working

538
00:31:24,760 --> 00:31:28,280
Speaker 1: with Discovery Channel for Shark Week, which is coming up

539
00:31:28,320 --> 00:31:30,440
Speaker 1: this week. I know you work specifically on sharks in

540
00:31:30,480 --> 00:31:32,920
Speaker 1: the City l A. Can you tell us about some

541
00:31:32,920 --> 00:31:34,480
Speaker 1: some of the other things that people will be seeing

542
00:31:34,480 --> 00:31:37,040
Speaker 1: this week, any new research, new episodes, or are you

543
00:31:37,200 --> 00:31:39,280
Speaker 1: just only focused on that one episode and don't really

544
00:31:39,280 --> 00:31:42,160
Speaker 1: pay attention to the rest of the Shark Week stuff. Well,

545
00:31:42,200 --> 00:31:44,880
Speaker 1: I have. I've been pretty much focusing all my attention

546
00:31:44,960 --> 00:31:47,760
Speaker 1: on our own research here in the Pacific and again

547
00:31:47,800 --> 00:31:51,240
Speaker 1: the adult expeditions that we made. We're really trying to

548
00:31:51,280 --> 00:31:55,080
Speaker 1: look at what happens as the population expands and where

549
00:31:55,160 --> 00:31:58,320
Speaker 1: might we expect to find white sharks next. But we've

550
00:31:58,360 --> 00:32:01,520
Speaker 1: been continuing our work on the baby white sharks and

551
00:32:01,560 --> 00:32:06,040
Speaker 1: that's been super interesting. So this summer we've tagged twenty

552
00:32:06,120 --> 00:32:10,240
Speaker 1: sharks before the season even really started, so it's been

553
00:32:10,280 --> 00:32:14,360
Speaker 1: a bang up summer already, which again supports this idea

554
00:32:14,440 --> 00:32:17,920
Speaker 1: that the population is growing. So we've learned some really

555
00:32:17,920 --> 00:32:20,640
Speaker 1: cool things about the babies and and use some really

556
00:32:20,720 --> 00:32:23,880
Speaker 1: cool new technology to try to figure out what they're doing.

557
00:32:24,560 --> 00:32:27,400
Speaker 1: So we incorporate things like what we call smart tags,

558
00:32:27,440 --> 00:32:29,720
Speaker 1: which is basically a fit bit for sharks that we

559
00:32:29,720 --> 00:32:32,440
Speaker 1: can clamp on their dorsal fin and it measures every

560
00:32:32,440 --> 00:32:35,040
Speaker 1: single motion the shark makes. It measures the temperature of

561
00:32:35,040 --> 00:32:37,400
Speaker 1: the waters from through the depth. It has a video

562
00:32:37,480 --> 00:32:40,200
Speaker 1: logger so we can see what the shark sees. It's

563
00:32:40,200 --> 00:32:42,720
Speaker 1: got an acoustic transmitter on it, so we can follow

564
00:32:42,760 --> 00:32:45,240
Speaker 1: the shark for twenty four hours. And then that device

565
00:32:45,280 --> 00:32:47,719
Speaker 1: pops off floats the surface. We can pick it up

566
00:32:47,760 --> 00:32:50,840
Speaker 1: and download it. Where's the single greatest I'm focusing a

567
00:32:50,880 --> 00:32:53,600
Speaker 1: lot on California here, but that's where the great white

568
00:32:53,600 --> 00:32:57,560
Speaker 1: shark populations are are the densest in terms of US coastline,

569
00:32:57,640 --> 00:33:00,640
Speaker 1: right but where where, specifically in California do you see

570
00:33:01,160 --> 00:33:04,959
Speaker 1: the biggest population of white sharks right now? Well, a

571
00:33:04,960 --> 00:33:07,280
Speaker 1: lot depends on the size that you're talking about. So

572
00:33:07,320 --> 00:33:10,920
Speaker 1: for example, right now, off New England they've seen, you know,

573
00:33:11,000 --> 00:33:14,160
Speaker 1: it's pretty significant increase in the in the number of

574
00:33:14,240 --> 00:33:17,680
Speaker 1: large adult white sharks. And I grew up our Marthus vineyards,

575
00:33:17,720 --> 00:33:20,200
Speaker 1: and my whole time growing up there, I never saw

576
00:33:20,200 --> 00:33:22,000
Speaker 1: a white shark or heard of white shirk being in

577
00:33:22,080 --> 00:33:25,160
Speaker 1: close to shore, but now they're everywhere. And of course

578
00:33:25,200 --> 00:33:29,240
Speaker 1: the gray field population has exploded off the cape here

579
00:33:29,240 --> 00:33:31,360
Speaker 1: in the Pacific. You know, the fair Long Islands the

580
00:33:31,360 --> 00:33:33,800
Speaker 1: central California coast was kind of a hot spot. It's

581
00:33:33,840 --> 00:33:37,400
Speaker 1: a feeding aggregation site for adults. And then we also

582
00:33:37,480 --> 00:33:39,720
Speaker 1: know about this feeding aggregation site off the island of

583
00:33:39,760 --> 00:33:43,720
Speaker 1: Gluada Loupe, which is off the Mexican coast. So what

584
00:33:43,800 --> 00:33:46,960
Speaker 1: we think is happening is these populations are increasing because

585
00:33:47,160 --> 00:33:50,200
Speaker 1: we enacted protection for white shirks ten to twenty years

586
00:33:50,240 --> 00:33:52,880
Speaker 1: ago and as a result that conservation is working in

587
00:33:52,920 --> 00:33:56,800
Speaker 1: the populations are coming back. Have they ever filmed a

588
00:33:56,880 --> 00:33:58,880
Speaker 1: birth of a great white shark in the wild. I'm

589
00:33:58,960 --> 00:34:03,200
Speaker 1: sorry for the rudimentary question, but I just don't know. No, actually, no,

590
00:34:03,400 --> 00:34:05,960
Speaker 1: that's a holy grail for shark biologists is to know

591
00:34:06,080 --> 00:34:09,000
Speaker 1: where they're giving birth. How do they do it? As

592
00:34:09,040 --> 00:34:12,480
Speaker 1: best we know, females give birth to litters of up

593
00:34:12,520 --> 00:34:16,200
Speaker 1: to two to fourteen pups. Those pups way about sixty

594
00:34:16,239 --> 00:34:18,640
Speaker 1: to sixty five pounds apiece and are five ft long

595
00:34:18,680 --> 00:34:21,879
Speaker 1: at birth. Wow, and and so we we we don't

596
00:34:21,880 --> 00:34:23,520
Speaker 1: even know. We've never filmed it. But we also are

597
00:34:23,520 --> 00:34:26,919
Speaker 1: not even entirely sure where that's happening. No, we don't

598
00:34:26,920 --> 00:34:29,400
Speaker 1: know where mating occurs. We don't know where they give birth.

599
00:34:30,080 --> 00:34:33,160
Speaker 1: And frankly, we don't know how long they carry their

600
00:34:33,200 --> 00:34:35,400
Speaker 1: babies for. There's a lot of debate about is it

601
00:34:35,440 --> 00:34:38,560
Speaker 1: twelve months, is it twenty months? Nobody really knows for sure.

602
00:34:38,760 --> 00:34:41,200
Speaker 1: And great white sharks, there have been efforts to keep

603
00:34:41,239 --> 00:34:44,799
Speaker 1: them in captivity, right, the Monterey Aquarium made it up

604
00:34:44,840 --> 00:34:47,239
Speaker 1: to about six months, but that's it. And and in

605
00:34:47,280 --> 00:34:49,920
Speaker 1: a lot of other cases the only last a few days.

606
00:34:50,360 --> 00:34:51,960
Speaker 1: Why is it that you you know, if you go

607
00:34:52,000 --> 00:34:54,280
Speaker 1: to a lot of big aquariums, you'll see narth sharks.

608
00:34:54,480 --> 00:34:56,680
Speaker 1: I think they'll have some different reef sharks in there, right,

609
00:34:56,719 --> 00:34:59,480
Speaker 1: but you'll never see like a fifteen foot great white

610
00:34:59,480 --> 00:35:02,759
Speaker 1: shark in a quarium. Why is that Well, because basically

611
00:35:02,800 --> 00:35:05,640
Speaker 1: it's like cheap trying to keep an elephant. So those

612
00:35:05,800 --> 00:35:08,279
Speaker 1: that Monterey Bay Aquarium has been by far the most

613
00:35:08,320 --> 00:35:11,839
Speaker 1: successful at doing this. So the biggest challenge that they

614
00:35:11,880 --> 00:35:15,840
Speaker 1: had was keeping those little sharks stead. So the shark

615
00:35:15,880 --> 00:35:18,680
Speaker 1: that they kept for six months gained a hundred pounds

616
00:35:18,719 --> 00:35:21,120
Speaker 1: in six months, and the reason why they had to

617
00:35:21,200 --> 00:35:23,399
Speaker 1: let it go is it was starting to eat its

618
00:35:23,480 --> 00:35:28,480
Speaker 1: tank mates. So they were so successful and the sharks

619
00:35:28,520 --> 00:35:31,720
Speaker 1: are growing so fast they were actually worried about keeping

620
00:35:31,760 --> 00:35:34,840
Speaker 1: them too long. So we learned a lot about the

621
00:35:34,880 --> 00:35:38,000
Speaker 1: growth capacity and the feeding habits of white sharks just

622
00:35:38,040 --> 00:35:40,439
Speaker 1: from the ones kept on exhibit. What's the biggest great

623
00:35:40,440 --> 00:35:43,279
Speaker 1: white shark doc you've ever seen in the wild? Well,

624
00:35:43,320 --> 00:35:44,600
Speaker 1: I guess they're all in the wild, but the big

625
00:35:44,600 --> 00:35:47,680
Speaker 1: biggest one you've ever seen alive? Uh? Probably the biggest

626
00:35:47,680 --> 00:35:51,120
Speaker 1: one was about sixteen ft long. And I know you're

627
00:35:51,160 --> 00:35:52,960
Speaker 1: around them a lot, but there must be a little

628
00:35:52,960 --> 00:35:55,080
Speaker 1: bit of like, wow, that's a really big shark. Right,

629
00:35:55,640 --> 00:35:57,120
Speaker 1: when you see it in person, it's got to be

630
00:35:57,160 --> 00:35:59,160
Speaker 1: kind of like, whoa, that's got a lot of teeth

631
00:35:59,760 --> 00:36:02,319
Speaker 1: at absolutely, and when you see those sharks, they're just

632
00:36:02,360 --> 00:36:05,359
Speaker 1: so beautiful. They're mesmerizing to watch. But when they get

633
00:36:05,440 --> 00:36:07,399
Speaker 1: up close and you start thinking about who they are

634
00:36:07,440 --> 00:36:09,480
Speaker 1: and what they do and and how you know how

635
00:36:09,480 --> 00:36:13,440
Speaker 1: their physiology works, it's just impossible to not be in awe.

636
00:36:13,880 --> 00:36:16,560
Speaker 1: I mean, they are the true Olympians of the shark world.

637
00:36:16,680 --> 00:36:18,640
Speaker 1: One one question that third grade buck would want to

638
00:36:18,680 --> 00:36:20,799
Speaker 1: ask you, So excuse me for for tossing it out there,

639
00:36:20,800 --> 00:36:22,000
Speaker 1: and then I'll give you one. There's one thing I

640
00:36:22,000 --> 00:36:24,680
Speaker 1: want to ask you about Shark Week. We'll let you go, doc. But, uh,

641
00:36:24,880 --> 00:36:29,200
Speaker 1: orcas killer whales they do sometimes kill great white sharks, right,

642
00:36:29,239 --> 00:36:33,640
Speaker 1: So actually, at the very apex of predators in the sea,

643
00:36:34,120 --> 00:36:36,840
Speaker 1: orcas kill great white sharks, don't they? Or if I

644
00:36:36,960 --> 00:36:40,080
Speaker 1: is that just an internet mean that I've caught Oh no, no, no,

645
00:36:40,160 --> 00:36:42,319
Speaker 1: they're at the tippy top. You know. They are the

646
00:36:42,360 --> 00:36:45,279
Speaker 1: true kings and queens of the ocean. So you you

647
00:36:45,360 --> 00:36:50,000
Speaker 1: take a mammal that size, uh, that that's also unbelievably powerful,

648
00:36:50,640 --> 00:36:54,880
Speaker 1: very smart and social um that they are truly, you know,

649
00:36:55,239 --> 00:36:57,640
Speaker 1: the top predator in the ocean, so even a white

650
00:36:57,640 --> 00:37:01,000
Speaker 1: shark doesn't have a chance against a pot of WORKA

651
00:37:01,120 --> 00:37:04,279
Speaker 1: tell everybody doc when they can see your specially you

652
00:37:04,280 --> 00:37:06,520
Speaker 1: were involved in Sharks in the City on the Discovery

653
00:37:06,560 --> 00:37:10,480
Speaker 1: channel for Shark Week which is next week. Everybody, Uh, Tuesday,

654
00:37:10,800 --> 00:37:14,759
Speaker 1: nine pm. Uh. Anywhere anything else you want to direct

655
00:37:14,800 --> 00:37:17,640
Speaker 1: people to any research or work You're on sure. If

656
00:37:17,640 --> 00:37:20,480
Speaker 1: people are interested in learning more about what we're learning,

657
00:37:20,960 --> 00:37:22,919
Speaker 1: they can go to the C s o B Shark

658
00:37:23,040 --> 00:37:27,239
Speaker 1: Lab website, our Facebook page, or a Twitter account. Fantastic,

659
00:37:27,320 --> 00:37:30,560
Speaker 1: Dr Chris Lowe of California State University. Great to have

660
00:37:30,600 --> 00:37:32,560
Speaker 1: you on, so really appreciate the time and best of

661
00:37:32,600 --> 00:37:35,400
Speaker 1: luck with Shark Week and all your research. Thank you

662
00:37:35,440 --> 00:37:37,520
Speaker 1: so much for having me. Alright, team, Now we can

663
00:37:37,520 --> 00:37:41,720
Speaker 1: get back into the White House communications, all that stuff,

664
00:37:41,800 --> 00:37:44,040
Speaker 1: Russia blah blah, all the political things for a little

665
00:37:44,040 --> 00:37:46,120
Speaker 1: bit and then we'll switch topics again. But we'll be

666
00:37:46,200 --> 00:37:48,000
Speaker 1: right back, all right, everybody. There's a lot going on

667
00:37:48,040 --> 00:37:51,640
Speaker 1: today in the world of d C media. The national

668
00:37:51,680 --> 00:37:54,960
Speaker 1: political scene has been rocked by some departures from the

669
00:37:55,000 --> 00:37:57,400
Speaker 1: West wing. To help us wade Through all this, we

670
00:37:57,520 --> 00:38:01,240
Speaker 1: got Joe Kanta joining now. He is a meta reporter

671
00:38:01,360 --> 00:38:05,040
Speaker 1: and calm this for the Hill, so frequently see him

672
00:38:05,040 --> 00:38:07,399
Speaker 1: doing an excellent job up on the Fox News. Mr conch,

673
00:38:07,480 --> 00:38:10,399
Speaker 1: are good to have you, Hey, Buck, how are you?

674
00:38:10,520 --> 00:38:12,120
Speaker 1: I'm just gonna have the pool to do this hit,

675
00:38:12,200 --> 00:38:14,560
Speaker 1: so it better be good. Oh man, I don't know.

676
00:38:14,640 --> 00:38:16,279
Speaker 1: If I had known that, I probably have told you

677
00:38:16,320 --> 00:38:18,319
Speaker 1: to wait for next week. The pool sounds great right now.

678
00:38:18,320 --> 00:38:20,680
Speaker 1: I'm hoping to head off of the weekend myself here

679
00:38:20,680 --> 00:38:24,240
Speaker 1: before too long. But let's get into it. Sean Spicer

680
00:38:24,480 --> 00:38:27,000
Speaker 1: is out. Why should we care? Do you care? I'm

681
00:38:27,000 --> 00:38:30,040
Speaker 1: not sure I care all that much. Who cares? If

682
00:38:30,120 --> 00:38:33,000
Speaker 1: we care? Who cares? If cares, who cares, if cont cares.

683
00:38:33,480 --> 00:38:36,040
Speaker 1: I think Middle America doesn't care. I think the people

684
00:38:36,080 --> 00:38:38,720
Speaker 1: that want to finally hear news about things they care about,

685
00:38:39,239 --> 00:38:42,000
Speaker 1: they don't care about this stuff. They don't know who

686
00:38:42,040 --> 00:38:44,719
Speaker 1: Anthony Scaramucci is from a home on the wall. They

687
00:38:44,719 --> 00:38:47,640
Speaker 1: don't care who the director communications is or Sarah Hugley

688
00:38:47,640 --> 00:38:50,319
Speaker 1: Sanders is getting press briefings. I think this is a

689
00:38:50,360 --> 00:38:54,279
Speaker 1: bubble story. I get that it's interesting because press, you know,

690
00:38:54,680 --> 00:38:57,640
Speaker 1: press secretaries only don't leave six months into the job.

691
00:38:57,760 --> 00:39:00,719
Speaker 1: It usually takes a year or two. Uh overall, I

692
00:39:00,719 --> 00:39:02,520
Speaker 1: mean we saw the writing of the Wall. He hasn't

693
00:39:02,600 --> 00:39:05,880
Speaker 1: done really any press briefings lately. Obviously he became a

694
00:39:05,960 --> 00:39:08,439
Speaker 1: caricature of himself. Buck right. I mean, I think once

695
00:39:08,480 --> 00:39:10,920
Speaker 1: the SML effect takes place and we got Melissa McCartney

696
00:39:10,960 --> 00:39:13,680
Speaker 1: playing you on a weekly basis, you become that character

697
00:39:13,680 --> 00:39:15,440
Speaker 1: instead of that person. And the reason I know this

698
00:39:15,480 --> 00:39:18,600
Speaker 1: is because Sarah Palen In two thousand eight, everybody in

699
00:39:18,800 --> 00:39:20,680
Speaker 1: what I mean everybody, I mean Zogby did a poll

700
00:39:20,840 --> 00:39:23,200
Speaker 1: asked Americans, do you think Sarah Palin said I could

701
00:39:23,200 --> 00:39:25,680
Speaker 1: see Russia from my house? And eight seven percent said yes.

702
00:39:25,880 --> 00:39:27,600
Speaker 1: Of course she said that she never said that, Sarah

703
00:39:27,800 --> 00:39:30,920
Speaker 1: Sarah what's her name? Na FEI said that, excuse me,

704
00:39:31,200 --> 00:39:34,240
Speaker 1: So that that's what happened here, became the character of himself.

705
00:39:34,960 --> 00:39:38,359
Speaker 1: He obviously had a truculent relationship with the press, and

706
00:39:38,440 --> 00:39:41,200
Speaker 1: quite frankly that the President never really wanted him in

707
00:39:41,239 --> 00:39:43,160
Speaker 1: the first place. So good for him for getting out

708
00:39:43,160 --> 00:39:46,000
Speaker 1: instead of hanging on somewhere, and we wished him luck.

709
00:39:46,080 --> 00:39:48,320
Speaker 1: And now the White House can start with a clean Slate.

710
00:39:48,560 --> 00:39:50,600
Speaker 1: How did he get the job in the first place?

711
00:39:50,719 --> 00:39:52,800
Speaker 1: Just out of curiosity? Do you know how that whole

712
00:39:53,120 --> 00:39:56,359
Speaker 1: series of events happened? Spice here, I'm talking about right

713
00:39:56,440 --> 00:39:59,400
Speaker 1: what I'm told buck from. I hate saying unnamed sources

714
00:39:59,440 --> 00:40:02,520
Speaker 1: reliable story because I chied people for that, but that

715
00:40:02,520 --> 00:40:04,520
Speaker 1: that's on the important stuff. For something like this, it's

716
00:40:04,560 --> 00:40:06,480
Speaker 1: kind of gossipy for what I was told from somebody

717
00:40:06,480 --> 00:40:10,080
Speaker 1: pretty close to the White House Press office. Um, Bryan's

718
00:40:10,120 --> 00:40:12,879
Speaker 1: previous basically said, look, you want me as White House

719
00:40:12,920 --> 00:40:15,960
Speaker 1: Chief of Staff, and you're taking my communications guy from

720
00:40:16,000 --> 00:40:18,520
Speaker 1: the RNC. Remember they were both in the Republican National Committee.

721
00:40:18,520 --> 00:40:20,880
Speaker 1: You're taking him with me. And Trump kind of wanted

722
00:40:20,880 --> 00:40:24,359
Speaker 1: somebody more combated, wanted somebody outside the establishment to be

723
00:40:24,440 --> 00:40:28,439
Speaker 1: his messenger. But eventually previous kind of one out, uh,

724
00:40:28,480 --> 00:40:30,960
Speaker 1: And that's that's how Sean Spicer got that job. So

725
00:40:31,000 --> 00:40:33,480
Speaker 1: he said he had experience going in. But I think

726
00:40:33,520 --> 00:40:36,360
Speaker 1: that in the end President Trump wanted the Laura Ingram

727
00:40:36,800 --> 00:40:39,000
Speaker 1: to be his press secretary. But that's just the way

728
00:40:39,000 --> 00:40:41,360
Speaker 1: it went. By the way, what do you think about

729
00:40:41,760 --> 00:40:45,239
Speaker 1: Sarah Huckaby Sanders performance? Before I get your your take

730
00:40:45,320 --> 00:40:47,680
Speaker 1: on that, as a media reporter. Let's hear what miss

731
00:40:47,760 --> 00:40:50,680
Speaker 1: Huckaby Sanders had to say today about how she's been doing.

732
00:40:51,560 --> 00:40:55,440
Speaker 1: I think it's so probably the one of certainly professionally,

733
00:40:55,480 --> 00:40:58,080
Speaker 1: one of the greatest honors that any person could ever

734
00:40:58,160 --> 00:41:01,200
Speaker 1: have to work in any capac city, within this building,

735
00:41:01,480 --> 00:41:03,440
Speaker 1: and to get to do that up here in such

736
00:41:03,480 --> 00:41:05,800
Speaker 1: a public way and speak on behalf of the president.

737
00:41:06,239 --> 00:41:10,000
Speaker 1: Uh is absolutely an honor in something I will cherish

738
00:41:10,000 --> 00:41:12,960
Speaker 1: and hope to do my very very best every single

739
00:41:13,040 --> 00:41:16,440
Speaker 1: day and be as open, honest, and transparent with you

740
00:41:16,520 --> 00:41:20,480
Speaker 1: all as humanly possible. She's certainly earnest. What do you think.

741
00:41:22,239 --> 00:41:25,200
Speaker 1: I think that she's fine. You know, I think she's lying,

742
00:41:25,239 --> 00:41:28,680
Speaker 1: and I mean this in an endearing way. I think

743
00:41:28,680 --> 00:41:30,560
Speaker 1: she's fine. I think she's lying. That would be a

744
00:41:30,600 --> 00:41:33,520
Speaker 1: great quote for the Twitter. Go ahead, yeah, right, buck,

745
00:41:33,600 --> 00:41:36,000
Speaker 1: She's lying because it's not an honor to be the

746
00:41:36,000 --> 00:41:38,640
Speaker 1: White House Press secretary. It is the hardest white collar

747
00:41:38,760 --> 00:41:41,759
Speaker 1: job in the country. Had a care who's president, particularly

748
00:41:41,920 --> 00:41:44,640
Speaker 1: a President Trump who's like a quarterback who runs out

749
00:41:44,640 --> 00:41:47,239
Speaker 1: in front of his offensive line with the tweets. The

750
00:41:47,280 --> 00:41:50,360
Speaker 1: offensive line being his communications team. So I mean, I

751
00:41:50,360 --> 00:41:52,239
Speaker 1: think I'm sure she's happy with the job, but it's

752
00:41:52,280 --> 00:41:54,960
Speaker 1: just so hard. I I guess it's an improvement from Spicer.

753
00:41:55,160 --> 00:41:57,319
Speaker 1: Spicer was doomed from day one, Buck and I wrote

754
00:41:57,320 --> 00:41:59,360
Speaker 1: about this on the Hill. Uh if you remember, and

755
00:41:59,400 --> 00:42:02,399
Speaker 1: I literally mean day one, the day after the inauguration,

756
00:42:02,480 --> 00:42:05,320
Speaker 1: he came out and gave this statement, a declaration to

757
00:42:05,400 --> 00:42:09,160
Speaker 1: reporters saying that was the most watched inauguration ever. I remember,

758
00:42:09,960 --> 00:42:12,440
Speaker 1: didn't take any questions, and Matt set the tone right

759
00:42:12,480 --> 00:42:16,040
Speaker 1: there that, hey, he was saying something that was probably false.

760
00:42:16,120 --> 00:42:18,120
Speaker 1: I get what he was saying, like the streaming and

761
00:42:18,320 --> 00:42:22,279
Speaker 1: all these other worldwide you know, the ways to watch

762
00:42:22,320 --> 00:42:24,520
Speaker 1: things these days, it's more than it was eight years ago,

763
00:42:24,600 --> 00:42:26,400
Speaker 1: and probably more people watched. I get it. But then

764
00:42:26,440 --> 00:42:28,880
Speaker 1: people just showed the pictures and disproved that. And the

765
00:42:28,920 --> 00:42:31,640
Speaker 1: fact he didn't take any questions then from the press

766
00:42:31,680 --> 00:42:34,120
Speaker 1: after making that declaration that that was the end form

767
00:42:34,160 --> 00:42:36,400
Speaker 1: before began. And then apparently Trump didn't like the suits

768
00:42:36,400 --> 00:42:38,520
Speaker 1: you war either, So you know, what do you have

769
00:42:38,560 --> 00:42:40,640
Speaker 1: that going against you? That's that's a problem. So she'll

770
00:42:40,680 --> 00:42:43,759
Speaker 1: be fine, But I honestly think that you'll probably see

771
00:42:43,760 --> 00:42:46,479
Speaker 1: two or three press Secretaries of Trump grows eight years

772
00:42:46,560 --> 00:42:50,560
Speaker 1: and uh and Mr Scaramucci took the podium today he

773
00:42:50,640 --> 00:42:53,600
Speaker 1: was asked this question by a reporter, ask you a

774
00:42:53,680 --> 00:42:56,800
Speaker 1: variation of what I asked Sean Spicer in his first day.

775
00:42:56,840 --> 00:43:00,320
Speaker 1: Is it your commitment to the best of your ability

776
00:43:00,440 --> 00:43:04,200
Speaker 1: give accurate information the truth from that bode? I mean,

777
00:43:04,480 --> 00:43:06,320
Speaker 1: I sort of feel like I don't even have to

778
00:43:06,360 --> 00:43:08,279
Speaker 1: answer that question. I hope you can feel that from

779
00:43:08,320 --> 00:43:10,279
Speaker 1: me just from my body language. That's the kind of

780
00:43:10,320 --> 00:43:13,880
Speaker 1: person I am. What does the best thing? Well, what

781
00:43:13,920 --> 00:43:16,480
Speaker 1: do you think about Mr Scaramucci? No, what I would

782
00:43:16,520 --> 00:43:19,759
Speaker 1: have how I would answer that question? Uh, yeah, I'll

783
00:43:19,840 --> 00:43:21,799
Speaker 1: do that. But this needs to be a two way

784
00:43:21,840 --> 00:43:24,239
Speaker 1: street where you're as accurate and you're as truthful as

785
00:43:24,280 --> 00:43:26,720
Speaker 1: you can be to the people that you're serving, your readers,

786
00:43:26,760 --> 00:43:29,279
Speaker 1: your viewers as well. Is that a deal? In other words,

787
00:43:29,280 --> 00:43:31,560
Speaker 1: it's it's that that comes from a place that reporter

788
00:43:31,600 --> 00:43:33,879
Speaker 1: that asked that, like, we're always truthful? Will you be? Well,

789
00:43:33,920 --> 00:43:36,959
Speaker 1: obviously we've seen that isn't the case. Scaramucci. I wrote

790
00:43:37,000 --> 00:43:39,960
Speaker 1: notes on this, uh while while he was on and

791
00:43:40,080 --> 00:43:42,880
Speaker 1: I saw him as authentic in the same way Trump is.

792
00:43:42,920 --> 00:43:44,960
Speaker 1: And then he talks like a regular person. He doesn't

793
00:43:45,000 --> 00:43:47,480
Speaker 1: talk like a DC person or your typical press secretary.

794
00:43:47,480 --> 00:43:49,839
Speaker 1: And he's not a press secretary, but he's he's just

795
00:43:50,000 --> 00:43:52,520
Speaker 1: like Trump in that regard, and I think there's just

796
00:43:52,600 --> 00:43:55,600
Speaker 1: a genuine quality to him that that is endearing, that

797
00:43:55,719 --> 00:43:58,440
Speaker 1: is charming. And he won't be doing press briefings and

798
00:43:58,480 --> 00:44:00,440
Speaker 1: he'll be strategizing behind the scene, and I think that

799
00:44:00,480 --> 00:44:03,000
Speaker 1: could be a good thing, because Trump needs somebody that

800
00:44:03,160 --> 00:44:04,759
Speaker 1: is loyal to him. I don't think he ever felt

801
00:44:04,800 --> 00:44:07,080
Speaker 1: Spicer was that way, and now he has one of

802
00:44:07,120 --> 00:44:10,080
Speaker 1: his own guys in there. As far as economic policy,

803
00:44:10,120 --> 00:44:12,040
Speaker 1: he's probably pretty good at that. And that's the next

804
00:44:12,080 --> 00:44:13,919
Speaker 1: big message that you're gonna see how this White House

805
00:44:13,920 --> 00:44:16,799
Speaker 1: after healthcare tax performance, tax cuts and who better to have,

806
00:44:17,200 --> 00:44:21,400
Speaker 1: you know, strategizing a communication strategy around that, Ben Mr Scammon. Now,

807
00:44:21,440 --> 00:44:24,880
Speaker 1: the storylines around this White House are are fascinating. Whether

808
00:44:24,920 --> 00:44:28,040
Speaker 1: they're believable or not, I I leave to to the

809
00:44:28,080 --> 00:44:31,320
Speaker 1: folks who who read or listen or see them themselves,

810
00:44:31,360 --> 00:44:34,319
Speaker 1: because there's a lot of stuff that's obviously said that's inaccurate.

811
00:44:34,360 --> 00:44:37,800
Speaker 1: Some of it is accurate, but with regard to the future,

812
00:44:38,000 --> 00:44:41,840
Speaker 1: of Steve Bannon as a an essential advisor in this

813
00:44:42,000 --> 00:44:45,719
Speaker 1: White House. Do you have a prognostication do you have

814
00:44:45,800 --> 00:44:47,959
Speaker 1: some sources telling you one way or the other what's

815
00:44:47,960 --> 00:44:50,880
Speaker 1: going on? Oh? Boy, I mean it's a Friday, so

816
00:44:50,960 --> 00:44:52,520
Speaker 1: we can just spitball. You know, that's what we're doing.

817
00:44:52,719 --> 00:44:54,120
Speaker 1: I hear you, Buck, I hear you. I was not

818
00:44:54,239 --> 00:44:56,040
Speaker 1: blowing your question. I was no boying the fact that

819
00:44:56,320 --> 00:44:58,560
Speaker 1: I remember back in March that was supposed to be

820
00:44:58,600 --> 00:45:00,319
Speaker 1: end to Steve Bannon, and he's on the way out

821
00:45:00,600 --> 00:45:02,800
Speaker 1: lines previous hasn't told July fourth the clean up X

822
00:45:02,920 --> 00:45:05,799
Speaker 1: Y Z or else. He's out. And really I haven't

823
00:45:05,800 --> 00:45:08,120
Speaker 1: seen any major changes in this White House if you

824
00:45:08,160 --> 00:45:09,040
Speaker 1: know what I mean. You want to say the White

825
00:45:09,080 --> 00:45:12,120
Speaker 1: House Press Secretary. Okay, but outside of Mike Flynn, who

826
00:45:12,200 --> 00:45:14,960
Speaker 1: had to go um again. I keep hearing all this

827
00:45:15,040 --> 00:45:17,920
Speaker 1: palace intrigue around. Is Banning gone? As this person gone?

828
00:45:18,239 --> 00:45:21,560
Speaker 1: You know who knows well well the Cubs win against

829
00:45:21,600 --> 00:45:23,920
Speaker 1: World Series this year? Who knows anything I say now

830
00:45:24,080 --> 00:45:27,440
Speaker 1: be forgotten in a day anyway. So I'll bet that

831
00:45:27,480 --> 00:45:30,360
Speaker 1: he stays because Trump wants him close, because if he

832
00:45:30,400 --> 00:45:33,280
Speaker 1: goes back to bright part and Bright parts his biggest supporter.

833
00:45:33,680 --> 00:45:35,879
Speaker 1: He can make things difficult form of things that things

834
00:45:36,040 --> 00:45:37,960
Speaker 1: end on a bad note. So I say he stays

835
00:45:38,000 --> 00:45:40,440
Speaker 1: because the alternative is worse. Do you think that this

836
00:45:40,480 --> 00:45:42,680
Speaker 1: White House feeling by the way, everybody, we're speaking to

837
00:45:42,800 --> 00:45:45,759
Speaker 1: Joe Concho, who's a media reporter at the Hill. You

838
00:45:45,760 --> 00:45:47,640
Speaker 1: can read his latest in the Hill dot com. Do

839
00:45:48,239 --> 00:45:51,920
Speaker 1: do you think this White House feels like there needs

840
00:45:51,960 --> 00:45:54,200
Speaker 1: that they actually understand there does need to be messaging

841
00:45:54,239 --> 00:45:57,520
Speaker 1: discipline that that it can't just be uh, throw it

842
00:45:57,600 --> 00:46:00,480
Speaker 1: up against the wall and see what happens all the time. Buck.

843
00:46:00,520 --> 00:46:02,160
Speaker 1: I don't think the White House needs to know that.

844
00:46:02,200 --> 00:46:04,719
Speaker 1: I think the president needs to know that. I think

845
00:46:04,719 --> 00:46:07,520
Speaker 1: that he needs to show some more discipline. And Trump

846
00:46:07,560 --> 00:46:09,880
Speaker 1: supporters scream at me whenever I say this. I'm not

847
00:46:09,920 --> 00:46:11,880
Speaker 1: saying he should stop tweaking. It doesn't have to be

848
00:46:11,920 --> 00:46:14,360
Speaker 1: one or the other. There just needs to be impulse control.

849
00:46:14,560 --> 00:46:17,560
Speaker 1: And when I was single, I I used to have

850
00:46:17,640 --> 00:46:20,040
Speaker 1: this problem with It was called texting while and paired.

851
00:46:20,120 --> 00:46:22,719
Speaker 1: Some called the trunk dialing, uh. And it was with

852
00:46:22,760 --> 00:46:24,239
Speaker 1: certain girls that I was trying to get in touch with.

853
00:46:24,280 --> 00:46:25,680
Speaker 1: The two o'clock in the morning, I would write things

854
00:46:25,719 --> 00:46:28,160
Speaker 1: I probably regretted. Uh, And then after a while I

855
00:46:28,160 --> 00:46:30,359
Speaker 1: began to look at that phone for twenty seconds, think

856
00:46:30,360 --> 00:46:32,080
Speaker 1: of the worst case scenario, and then get the leat.

857
00:46:32,280 --> 00:46:33,920
Speaker 1: And I think the President needs to do that when

858
00:46:33,920 --> 00:46:36,360
Speaker 1: he has an impulse to respond to something he's on television,

859
00:46:36,560 --> 00:46:38,160
Speaker 1: just scare it that for twenty seconds, give it to

860
00:46:38,200 --> 00:46:40,000
Speaker 1: somebody you trust in the room, say is this a

861
00:46:40,000 --> 00:46:41,880
Speaker 1: good idea and what's the worst that can happen from it?

862
00:46:42,200 --> 00:46:44,560
Speaker 1: Because he did that once with James Coley saying he

863
00:46:44,560 --> 00:46:46,360
Speaker 1: had capes and he ended up with a special counsel

864
00:46:46,400 --> 00:46:49,480
Speaker 1: as a result. So I think that's where the discipline

865
00:46:49,480 --> 00:46:51,839
Speaker 1: has to start at the top. By example by Mr

866
00:46:51,880 --> 00:46:55,040
Speaker 1: Trump in terms of his messaging tweak, go, go ahead,

867
00:46:55,040 --> 00:46:56,840
Speaker 1: attack the media. Fine, I have no problem with that.

868
00:46:56,840 --> 00:47:00,080
Speaker 1: To make a mistake out your economic success, fine, But

869
00:47:00,800 --> 00:47:02,680
Speaker 1: the other stuff has to go because you're putting your

870
00:47:02,680 --> 00:47:05,799
Speaker 1: communications team in a very tough position. I gotta say,

871
00:47:05,800 --> 00:47:08,720
Speaker 1: we have a great new segment idea here. Joe Concha

872
00:47:09,000 --> 00:47:13,760
Speaker 1: does drunk tweets for our freestyle Friday show. I'm married now,

873
00:47:13,800 --> 00:47:16,080
Speaker 1: but I had some doozies. I mean talking about you know,

874
00:47:16,480 --> 00:47:18,719
Speaker 1: Trump got a special counsel. I lost like four or

875
00:47:18,719 --> 00:47:21,440
Speaker 1: five girls that absolutely were alay up well above my

876
00:47:21,480 --> 00:47:26,480
Speaker 1: skis because Joe, thanks man, go go back, cannon ball

877
00:47:26,480 --> 00:47:28,719
Speaker 1: into that pool. Thank you for joining us. We appreciate it,

878
00:47:28,800 --> 00:47:32,839
Speaker 1: Joe Concho to Hill. Everybody and team will be We'll

879
00:47:32,880 --> 00:47:39,839
Speaker 1: be right back. Even one of the President's strongest supporters

880
00:47:39,920 --> 00:47:42,520
Speaker 1: for for for a while now. But does he know

881
00:47:42,560 --> 00:47:44,480
Speaker 1: what you said about him back in two thousand and fifteen,

882
00:47:44,480 --> 00:47:46,520
Speaker 1: when you said he was a hack politician used it up.

883
00:47:46,560 --> 00:47:49,960
Speaker 1: He brings it up every fifteen seconds. Okay. One of

884
00:47:50,000 --> 00:47:52,279
Speaker 1: the biggest mistakes that I made because I was an

885
00:47:52,360 --> 00:47:55,440
Speaker 1: unexperienced person in the world of politics. I was supporting

886
00:47:55,440 --> 00:47:57,880
Speaker 1: another candidate. I should have never said that about him. So,

887
00:47:58,080 --> 00:48:00,880
Speaker 1: Mr President, if you're listening, I pursedly apologized for the

888
00:48:00,920 --> 00:48:03,560
Speaker 1: fiftieth time for saying that. But here's the wonderful thing

889
00:48:03,560 --> 00:48:06,320
Speaker 1: about the news media. That was three minutes of my life.

890
00:48:06,560 --> 00:48:09,920
Speaker 1: He's never forgotten it, and you've never forgotten it. But

891
00:48:10,000 --> 00:48:11,680
Speaker 1: you know, I hope it's someday, Mr President, you will

892
00:48:11,719 --> 00:48:14,239
Speaker 1: forget it. Okay, let's go to the next question. There

893
00:48:14,280 --> 00:48:19,279
Speaker 1: you have Anthony Scaramucci, the new chief of White House

894
00:48:19,320 --> 00:48:24,560
Speaker 1: communications taking some questions at the press conference today, first

895
00:48:24,600 --> 00:48:30,320
Speaker 1: on camera press conference in a while, and I gotta say,

896
00:48:30,840 --> 00:48:32,600
Speaker 1: let me, let me just put some thoughts out there

897
00:48:32,640 --> 00:48:37,440
Speaker 1: on this in general, the White House Press secretary. Who cares?

898
00:48:37,560 --> 00:48:39,360
Speaker 1: Really who the White House Press Secretary is? I know

899
00:48:39,440 --> 00:48:42,359
Speaker 1: Sean Spicer is out and this has gotten a lot

900
00:48:42,360 --> 00:48:45,080
Speaker 1: of people all who the White House of disarray. Sean

901
00:48:45,160 --> 00:48:49,319
Speaker 1: Spicer has been reportedly on the way out for months now,

902
00:48:49,400 --> 00:48:52,680
Speaker 1: So there's nothing that's surprising there at all. I think

903
00:48:52,719 --> 00:48:57,440
Speaker 1: that Spicer made some pretty big errors in what he

904
00:48:57,480 --> 00:48:59,000
Speaker 1: was willing to go out there and say to the

905
00:48:59,040 --> 00:49:02,040
Speaker 1: press early on on, and I think that that was

906
00:49:03,000 --> 00:49:04,680
Speaker 1: it was just a matter of time before he's gonna

907
00:49:04,719 --> 00:49:07,360
Speaker 1: move on. But the fact the media fascination with this,

908
00:49:07,440 --> 00:49:11,640
Speaker 1: it's because the White House Press Secretary is the official

909
00:49:11,719 --> 00:49:15,960
Speaker 1: White House interface with the press. Uh. It's because of

910
00:49:16,000 --> 00:49:18,640
Speaker 1: that that they are so focused in on this because

911
00:49:18,680 --> 00:49:22,600
Speaker 1: it affects them. Of course, that's why we're all supposed

912
00:49:22,600 --> 00:49:25,399
Speaker 1: to care so much about this. But but we don't

913
00:49:25,440 --> 00:49:27,879
Speaker 1: really have to care that much. You know, You've got Scaramucci,

914
00:49:27,880 --> 00:49:33,560
Speaker 1: whom I've met once and been on air with once. Uh,

915
00:49:33,560 --> 00:49:39,640
Speaker 1: and look he's a very slick, very smooth, uh, very

916
00:49:39,719 --> 00:49:42,880
Speaker 1: well educated guy at Harvard Law School, and he's going

917
00:49:42,920 --> 00:49:45,919
Speaker 1: to run a tight shop down there. He is very

918
00:49:45,920 --> 00:49:48,959
Speaker 1: well liked by the Trump's, very connected in to them,

919
00:49:49,160 --> 00:49:51,760
Speaker 1: and was a senior person on the Trump transition team.

920
00:49:52,520 --> 00:49:54,560
Speaker 1: It was really just a matter of time before he

921
00:49:54,600 --> 00:49:58,359
Speaker 1: was going to join, based on insiders who are close

922
00:49:58,440 --> 00:50:01,040
Speaker 1: to the Trumps that I've heard talking about this in

923
00:50:01,120 --> 00:50:04,160
Speaker 1: the past, So we all knew Scaramucci was gonna head

924
00:50:04,200 --> 00:50:07,200
Speaker 1: down there. And now of course that the press is

925
00:50:07,239 --> 00:50:09,600
Speaker 1: in this frenzy because you've got a new White House

926
00:50:09,600 --> 00:50:15,759
Speaker 1: communications director, Sarah Huckabee Sanders was put up there as

927
00:50:15,800 --> 00:50:18,440
Speaker 1: the new press secretary. So it's not like Scaramucci is

928
00:50:18,440 --> 00:50:20,160
Speaker 1: going to be the press secretary. He's gonna be the

929
00:50:20,200 --> 00:50:23,239
Speaker 1: guy behind the gal in a sense. Here, he's gonna

930
00:50:23,239 --> 00:50:26,040
Speaker 1: be the one who's managing everything behind the scenes in

931
00:50:26,160 --> 00:50:29,520
Speaker 1: terms of White House press operations and the media interface.

932
00:50:30,280 --> 00:50:32,439
Speaker 1: But I think that this is probably a good move.

933
00:50:32,719 --> 00:50:35,520
Speaker 1: I think that Spicer was probably was put it in

934
00:50:35,600 --> 00:50:39,920
Speaker 1: an almost impossible position. Fine, you know, I'm gonna kind

935
00:50:39,920 --> 00:50:43,320
Speaker 1: of miss that, you know, the spicy thing on SNL.

936
00:50:44,239 --> 00:50:46,920
Speaker 1: I think they're they're gonna be a little more shy

937
00:50:46,960 --> 00:50:51,160
Speaker 1: about really going after Sarah Huckabee Sanders in that way,

938
00:50:51,440 --> 00:50:54,880
Speaker 1: although maybe I'm wrong. The SNL it's a very political,

939
00:50:55,640 --> 00:50:59,520
Speaker 1: very politicized, left wing outfit these days, and for a

940
00:50:59,560 --> 00:51:01,640
Speaker 1: long time that's been the case. It just used to

941
00:51:01,680 --> 00:51:04,359
Speaker 1: be funny, right, So when it had Mike Meyers, Dana

942
00:51:04,440 --> 00:51:09,920
Speaker 1: Carvey and Chris Farley and and Adam Sandler, Well, actually

943
00:51:10,160 --> 00:51:12,120
Speaker 1: I don't remember being really that political then at all.

944
00:51:12,160 --> 00:51:14,920
Speaker 1: In retrospect, I don't remember that that they made fun

945
00:51:14,920 --> 00:51:17,239
Speaker 1: of the president, whoever the president was, and it was

946
00:51:17,280 --> 00:51:20,040
Speaker 1: done with the good faith of a comedian who is

947
00:51:20,080 --> 00:51:22,359
Speaker 1: trying to make people laugh. And in the last five

948
00:51:22,440 --> 00:51:24,719
Speaker 1: or tenure, well, I should say since the beginning of

949
00:51:24,760 --> 00:51:29,640
Speaker 1: the Obama administration, Saturday Night Live was unfunny because they

950
00:51:29,640 --> 00:51:32,360
Speaker 1: wouldn't really make fun of the president. And in the

951
00:51:32,400 --> 00:51:35,719
Speaker 1: Trump era they're unfunny because all they do is try

952
00:51:35,760 --> 00:51:38,480
Speaker 1: to denigrate the president. They're not trying to just be humorous.

953
00:51:38,520 --> 00:51:41,960
Speaker 1: They're trying to really put the president down and put

954
00:51:42,000 --> 00:51:45,359
Speaker 1: those around him down. And that's just not look, it's

955
00:51:45,400 --> 00:51:49,799
Speaker 1: it's not amusing, and it's really sad to see that

956
00:51:50,280 --> 00:51:52,239
Speaker 1: there could be an opportunity there for them to make

957
00:51:52,280 --> 00:51:56,040
Speaker 1: Americans laugh, but instead they want to poke fun and

958
00:51:56,080 --> 00:51:57,560
Speaker 1: they want to be nasty, and that's what they do.

959
00:51:57,640 --> 00:52:00,800
Speaker 1: But okay, so you have a scared Mouci now stepping

960
00:52:00,840 --> 00:52:03,239
Speaker 1: into this role. Um. Like I said, the guy is

961
00:52:03,400 --> 00:52:07,440
Speaker 1: very smart, very capable. In my expectations are that he

962
00:52:07,480 --> 00:52:11,920
Speaker 1: will there there will be some press pieces about how

963
00:52:12,600 --> 00:52:16,200
Speaker 1: he is really doing things, and so what you have

964
00:52:16,320 --> 00:52:20,160
Speaker 1: here is a changing of the guard. It's not really

965
00:52:20,200 --> 00:52:23,560
Speaker 1: all that surprising that, given the amount of pressure of

966
00:52:23,560 --> 00:52:27,640
Speaker 1: the White House has been under in recent weeks, that

967
00:52:27,719 --> 00:52:29,759
Speaker 1: they would try to bring in some new personnel and

968
00:52:29,800 --> 00:52:33,840
Speaker 1: that they would switch things up. But uh, the Spicer.

969
00:52:34,000 --> 00:52:36,160
Speaker 1: The Spicer change was a long time in coming. I

970
00:52:36,239 --> 00:52:41,160
Speaker 1: think Scaramucci, you'll see more message discipline. The President has

971
00:52:41,200 --> 00:52:44,279
Speaker 1: a lot of confidence in him. I have seen him

972
00:52:44,280 --> 00:52:46,600
Speaker 1: on TV, I've talked to him in person. He's a

973
00:52:46,680 --> 00:52:52,279
Speaker 1: very charming guy, very very um savvy operator, knows who

974
00:52:52,320 --> 00:52:54,120
Speaker 1: to talk to and how to talk to them. So

975
00:52:54,920 --> 00:52:58,520
Speaker 1: I think he's a strong choice and they need that

976
00:52:58,680 --> 00:53:01,600
Speaker 1: helped down there right now because is Sarah Huckaby Sanders

977
00:53:01,680 --> 00:53:04,040
Speaker 1: may be doing a good job up there taking questions

978
00:53:04,040 --> 00:53:07,760
Speaker 1: from the press. But they need more of a strategy

979
00:53:07,840 --> 00:53:10,399
Speaker 1: as to how they're going to be dealing with all

980
00:53:10,440 --> 00:53:14,960
Speaker 1: this Russia investigation stuff, the questions around it, and this

981
00:53:15,080 --> 00:53:17,359
Speaker 1: is not something that they can just do on the fly.

982
00:53:17,480 --> 00:53:20,239
Speaker 1: I think the Trump administration in large part has been

983
00:53:20,360 --> 00:53:25,400
Speaker 1: learning that despite all of the overcoming of obstacles, and

984
00:53:25,440 --> 00:53:29,680
Speaker 1: despite all of their ability to reach this point in

985
00:53:29,719 --> 00:53:33,280
Speaker 1: the game, winning the election, beating Hillary, that it takes

986
00:53:33,320 --> 00:53:36,960
Speaker 1: more than just off the cuff commentary from the Donald

987
00:53:37,280 --> 00:53:40,799
Speaker 1: to handle the onslaught from the media that he's under.

988
00:53:41,120 --> 00:53:45,040
Speaker 1: And that's the reality of DC right now that they're

989
00:53:45,080 --> 00:53:47,560
Speaker 1: they're in the middle of a siege, and they need

990
00:53:47,960 --> 00:53:51,160
Speaker 1: in the White House Communications Office. They need a general.

991
00:53:51,440 --> 00:53:54,480
Speaker 1: They need somebody who can direct and command the troops

992
00:53:54,880 --> 00:53:57,719
Speaker 1: and who can get the so to speak, and who

993
00:53:57,760 --> 00:53:59,840
Speaker 1: can get the job done. And I don't think that

994
00:54:00,040 --> 00:54:02,280
Speaker 1: with Shawn Spicer. Now, I know people are saying Ryan's

995
00:54:02,320 --> 00:54:05,520
Speaker 1: previous maybe gone, you know, I don't know. I think

996
00:54:05,600 --> 00:54:10,200
Speaker 1: that he still serves that important connection as a tie in. Yeah,

997
00:54:10,239 --> 00:54:13,640
Speaker 1: I don't know about previous. I'm not sure that there's

998
00:54:13,680 --> 00:54:17,520
Speaker 1: really going to be this shake up because I think

999
00:54:17,520 --> 00:54:19,360
Speaker 1: that with regard to him, because I think that the

1000
00:54:19,400 --> 00:54:25,720
Speaker 1: Trump administration wants to keep some some kind of yeah,

1001
00:54:25,760 --> 00:54:30,239
Speaker 1: some kind of connectivity with the Republican establishment and their

1002
00:54:30,320 --> 00:54:35,719
Speaker 1: Republican uh, the architecture that's already in place for the GOP,

1003
00:54:36,000 --> 00:54:38,840
Speaker 1: the r n C and all that stuff. But I mean, clearly,

1004
00:54:38,960 --> 00:54:41,399
Speaker 1: if I were previous, you gotta feel like something of

1005
00:54:41,800 --> 00:54:44,600
Speaker 1: an outsider at this point. I mean, he's not. He's

1006
00:54:44,640 --> 00:54:49,120
Speaker 1: not in a position where he's uh, he's well situated

1007
00:54:49,160 --> 00:54:52,680
Speaker 1: to be in the President's confidence. And I don't know.

1008
00:54:52,719 --> 00:54:54,440
Speaker 1: I mean, well, we'll see what We'll see what happens there.

1009
00:54:54,440 --> 00:54:58,080
Speaker 1: There's also those articles swirling around about Steve Bannon and

1010
00:54:58,120 --> 00:55:00,480
Speaker 1: what's going to happen with him. I I don't see

1011
00:55:00,560 --> 00:55:04,400
Speaker 1: him going anywhere either right now, because he seems like

1012
00:55:04,440 --> 00:55:05,839
Speaker 1: the kind of guy that if you were in a

1013
00:55:05,840 --> 00:55:09,360
Speaker 1: political food fight, you nope, nope, pun there. You know,

1014
00:55:09,400 --> 00:55:11,279
Speaker 1: if you're in a if you're in a political food fight,

1015
00:55:11,320 --> 00:55:13,239
Speaker 1: you you'd want him by your side. I mean, you'd

1016
00:55:13,239 --> 00:55:16,920
Speaker 1: want somebody who is a mud slinger, is tough and

1017
00:55:17,040 --> 00:55:19,279
Speaker 1: takes and it takes a no holds barred approach. And

1018
00:55:19,320 --> 00:55:21,400
Speaker 1: I think that's Bannon, you know. I think Scaramucci is

1019
00:55:21,400 --> 00:55:23,359
Speaker 1: also a very tough guy when he has to be

1020
00:55:23,440 --> 00:55:25,719
Speaker 1: based on what I'm told, but just does it in

1021
00:55:25,800 --> 00:55:29,600
Speaker 1: a more suave fashion than than banning him. And if

1022
00:55:29,600 --> 00:55:32,680
Speaker 1: you look at Scaramucci and Bannon side by side, you

1023
00:55:32,760 --> 00:55:34,319
Speaker 1: kind of pick up, you know, the way they dress

1024
00:55:34,360 --> 00:55:37,480
Speaker 1: and everything. You get a sense of their very distinct approaches.

1025
00:55:37,600 --> 00:55:40,319
Speaker 1: Both very wealthy, very successful guys in their own right,

1026
00:55:40,320 --> 00:55:44,000
Speaker 1: by the way, But anyway, the White House communication shake

1027
00:55:44,120 --> 00:55:47,480
Speaker 1: up is on a Friday, as you can imagine a Friday,

1028
00:55:47,520 --> 00:55:51,319
Speaker 1: and almost August here, the media are just eating this

1029
00:55:51,400 --> 00:55:54,319
Speaker 1: whole situation up. I mean, they're just viewing this as

1030
00:55:54,440 --> 00:55:57,720
Speaker 1: evidence that they're getting, uh, they're they're scoring the points

1031
00:55:57,760 --> 00:55:59,799
Speaker 1: that they want to score against the administration that the

1032
00:56:00,000 --> 00:56:04,960
Speaker 1: aistration is uh not gonna be able to wriggle its

1033
00:56:05,000 --> 00:56:07,719
Speaker 1: way out of their their grip here with all the

1034
00:56:07,800 --> 00:56:11,560
Speaker 1: Russia stuff. But you know, I've just seen so many

1035
00:56:11,600 --> 00:56:14,719
Speaker 1: times already, and I keep reminding myself of this. I

1036
00:56:14,719 --> 00:56:19,160
Speaker 1: feel like there have been so many instances of this administration,

1037
00:56:19,200 --> 00:56:22,080
Speaker 1: of this president, specifically of Donald Trump, being in a

1038
00:56:22,160 --> 00:56:25,919
Speaker 1: place where they're just like, there's no there's no way

1039
00:56:25,960 --> 00:56:29,680
Speaker 1: that he's going to be able to continue on there

1040
00:56:29,719 --> 00:56:34,279
Speaker 1: there's no way that he's going to um push through

1041
00:56:34,320 --> 00:56:37,520
Speaker 1: this and and come out the other side. Okay, And

1042
00:56:37,640 --> 00:56:42,319
Speaker 1: sure enough, the President time and time again beats all

1043
00:56:42,360 --> 00:56:46,040
Speaker 1: the expectations against him. So yeah, I know right now

1044
00:56:46,080 --> 00:56:48,360
Speaker 1: things are going into the weekend. It's looking a little

1045
00:56:48,440 --> 00:56:51,239
Speaker 1: rough from some perspectives, and and the press is a

1046
00:56:51,239 --> 00:56:54,279
Speaker 1: little too happy with itself about the damage that it's

1047
00:56:54,320 --> 00:56:58,080
Speaker 1: been able to do to this administration. But I think

1048
00:56:58,120 --> 00:57:01,600
Speaker 1: just just give it some time and you'll see that, um,

1049
00:57:01,640 --> 00:57:04,880
Speaker 1: the resilience of the Trump White House is going to

1050
00:57:05,000 --> 00:57:09,279
Speaker 1: defy all expectations. I think that's my guests. All Right,

1051
00:57:09,320 --> 00:57:10,840
Speaker 1: we're gonna hit a quick break here. I want to

1052
00:57:10,840 --> 00:57:13,600
Speaker 1: talk to an immigration coming up. We'll hit that and

1053
00:57:13,719 --> 00:57:21,320
Speaker 1: much more. Stay with me, Buck Sexton with America now

1054
00:57:21,560 --> 00:57:24,120
Speaker 1: where there's always something to talk about where you can

1055
00:57:24,200 --> 00:57:26,600
Speaker 1: trade opinions with Buck. I'm not sure you'll win, though.

1056
00:57:26,760 --> 00:57:30,439
Speaker 1: Just call eight four four nine hundred Buck, that's eight

1057
00:57:30,440 --> 00:57:35,480
Speaker 1: four four nine to eight to five. Alright, Buck, you're on.

1058
00:57:36,080 --> 00:57:41,200
Speaker 1: Let's see a Philadelphia and every scanctuary city to reconsider

1059
00:57:41,800 --> 00:57:45,680
Speaker 1: carefully the harm they are doing to their residence about

1060
00:57:45,800 --> 00:57:50,480
Speaker 1: refusing to cooperate with federal law. Enforcement to rethink these policies.

1061
00:57:50,680 --> 00:57:52,920
Speaker 1: Let's see if we can't get on the same path.

1062
00:57:53,360 --> 00:57:56,160
Speaker 1: And we've had some good meetings with a number of

1063
00:57:56,960 --> 00:58:01,800
Speaker 1: cities in that regard. The showdown over sanctuary cities is coming,

1064
00:58:01,880 --> 00:58:05,240
Speaker 1: my friends. The acting ICE director, according to Fox, the

1065
00:58:05,280 --> 00:58:09,040
Speaker 1: Immigrations and Customs Enforcement head is vound to use new

1066
00:58:09,120 --> 00:58:13,920
Speaker 1: resources to target target undocumented immigrants and sanctuary cities. Some

1067
00:58:14,000 --> 00:58:17,760
Speaker 1: of these local jurisdictions that are saying that they do

1068
00:58:17,840 --> 00:58:21,160
Speaker 1: not want to be involved in this at all. You know,

1069
00:58:21,160 --> 00:58:24,120
Speaker 1: the administration does a pretty good job, I think, and

1070
00:58:24,200 --> 00:58:27,280
Speaker 1: Jeff Sessions is out there obviously to this end of

1071
00:58:27,400 --> 00:58:31,720
Speaker 1: explaining to people how Immigrations and Customs Enforcement has an

1072
00:58:31,760 --> 00:58:35,920
Speaker 1: obligation to protect communities that MS their team gang members,

1073
00:58:35,960 --> 00:58:40,360
Speaker 1: for example, are often undocumented and are in communities where

1074
00:58:40,400 --> 00:58:44,240
Speaker 1: they're surrounded by other undocumented immigrants, and that there needs

1075
00:58:44,240 --> 00:58:48,400
Speaker 1: to be cooperation with the authorities and also cooperation among

1076
00:58:48,480 --> 00:58:51,160
Speaker 1: the authorities. You need local police to be willing to

1077
00:58:51,200 --> 00:58:56,480
Speaker 1: work with federal law enforcement in terms of notifying and

1078
00:58:56,640 --> 00:59:01,680
Speaker 1: also on these detainer requests that you have. Anywhere from

1079
00:59:01,960 --> 00:59:06,640
Speaker 1: two hundred to six hundred local and state jurisdictions that

1080
00:59:06,720 --> 00:59:11,240
Speaker 1: have some kind of sanctuary policy in place is just

1081
00:59:11,920 --> 00:59:17,120
Speaker 1: staggering and there is going to be a real, a

1082
00:59:17,200 --> 00:59:21,400
Speaker 1: real tension here because the administration, the Trump administration has said, look,

1083
00:59:21,680 --> 00:59:24,560
Speaker 1: if you're not willing, if you're not willing to do

1084
00:59:24,680 --> 00:59:28,000
Speaker 1: the bare minimum here, which is to notify us, notify

1085
00:59:28,120 --> 00:59:31,200
Speaker 1: Immigrations and Customs enforcement. When we keep in mind, it's

1086
00:59:31,240 --> 00:59:34,440
Speaker 1: when they already have in custody somebody who is illegal.

1087
00:59:34,760 --> 00:59:37,840
Speaker 1: This is not asking local police to walk around doing sweeps.

1088
00:59:38,160 --> 00:59:41,160
Speaker 1: It's not asking local police to be checking immigration status.

1089
00:59:41,200 --> 00:59:44,560
Speaker 1: It's if they already have someone in custody, if they

1090
00:59:44,560 --> 00:59:49,520
Speaker 1: have already arrested a person, then the federal government, the

1091
00:59:49,560 --> 00:59:53,440
Speaker 1: federal law enforce and agencies involved here, would like notification

1092
00:59:53,800 --> 00:59:56,959
Speaker 1: from their local law enforcement partners. Outside of the issue

1093
00:59:56,960 --> 00:59:59,440
Speaker 1: of immigration. This is not a problem, you know. It

1094
00:59:59,560 --> 01:00:03,000
Speaker 1: really go those too at a basic level, whether we

1095
01:00:03,040 --> 01:00:05,680
Speaker 1: believe in rule of law in this country, because what

1096
01:00:05,800 --> 01:00:08,400
Speaker 1: you see with these different cities and towns and and

1097
01:00:08,440 --> 01:00:13,200
Speaker 1: even some states is a defiance of federal immigration law

1098
01:00:13,280 --> 01:00:16,520
Speaker 1: to the degree that they can. So I suppose that

1099
01:00:16,560 --> 01:00:19,680
Speaker 1: means that they don't believe that the federal government has

1100
01:00:19,840 --> 01:00:22,959
Speaker 1: any right to determine who should and should not be here.

1101
01:00:23,840 --> 01:00:28,320
Speaker 1: In essence, the federal government is not allowed to write

1102
01:00:28,440 --> 01:00:31,400
Speaker 1: or enforce immigration law that this is left up to

1103
01:00:31,560 --> 01:00:36,280
Speaker 1: individual localities. And that's when you start to ask the question, Okay,

1104
01:00:36,320 --> 01:00:39,640
Speaker 1: well what levers does the federal government have. Then you know,

1105
01:00:40,200 --> 01:00:43,480
Speaker 1: if if Los Angeles or New York City decide that

1106
01:00:43,560 --> 01:00:47,840
Speaker 1: they're going to just allow illegals to stay here without

1107
01:00:47,960 --> 01:00:51,840
Speaker 1: any repercussions whatsoever, are they still supposed to get full

1108
01:00:51,920 --> 01:00:55,280
Speaker 1: federal funding for law enforcement. This is where you're going

1109
01:00:55,320 --> 01:00:58,560
Speaker 1: to see the I think, the first round of real

1110
01:00:59,080 --> 01:01:04,040
Speaker 1: fighting between the administration and the sanctuary jurisdictions, because once

1111
01:01:04,120 --> 01:01:07,640
Speaker 1: you start to pull back federal funding, then these law

1112
01:01:07,720 --> 01:01:12,200
Speaker 1: enforcement agencies, mayor's offices, police departments, they are going to

1113
01:01:12,240 --> 01:01:15,000
Speaker 1: pay attention. And this is going to end up, i think,

1114
01:01:15,080 --> 01:01:17,320
Speaker 1: in the courts, and it's going to be a very

1115
01:01:17,480 --> 01:01:23,360
Speaker 1: hotly contested issue because for the politicians, in particular in

1116
01:01:23,560 --> 01:01:28,120
Speaker 1: major sanctuary jurisdictions like New York, Chicago, Los Angeles and others,

1117
01:01:28,240 --> 01:01:31,160
Speaker 1: uh to be seen is on the wrong side of

1118
01:01:31,200 --> 01:01:36,560
Speaker 1: this issue of illegal immigrants. Undocumented is not the right term.

1119
01:01:36,680 --> 01:01:40,040
Speaker 1: That we need to stop allowing the left to dictate

1120
01:01:40,080 --> 01:01:42,360
Speaker 1: the terminology that we use as a matter of law.

1121
01:01:42,480 --> 01:01:46,120
Speaker 1: It is actually illegal aliens, which appears countless times in

1122
01:01:46,440 --> 01:01:49,080
Speaker 1: well not countless times but many because you can count them,

1123
01:01:49,240 --> 01:01:52,440
Speaker 1: but many times in the federal Code. The moment that

1124
01:01:52,480 --> 01:01:55,880
Speaker 1: we seed to the other side that there is already

1125
01:01:56,480 --> 01:02:00,560
Speaker 1: a an immigrant status here is to confer or on

1126
01:02:00,760 --> 01:02:04,640
Speaker 1: illegal something that they do not deserve. Immigrants go through

1127
01:02:04,840 --> 01:02:08,360
Speaker 1: a legal process. Right. If I walk into a store

1128
01:02:08,880 --> 01:02:12,760
Speaker 1: and I pay for something, I am a patron. If

1129
01:02:12,800 --> 01:02:15,760
Speaker 1: I walk into a store and I take it, I

1130
01:02:15,840 --> 01:02:20,720
Speaker 1: am not a different kind of patron. I am a thief.

1131
01:02:20,760 --> 01:02:24,400
Speaker 1: These are legal terms for different acts, different activities. And

1132
01:02:24,480 --> 01:02:27,240
Speaker 1: yet the way the media wants to frame this discussion,

1133
01:02:27,520 --> 01:02:31,440
Speaker 1: and of course the Democrat Party because of its tremendous

1134
01:02:31,520 --> 01:02:38,440
Speaker 1: reliance on the populations of the country that have large

1135
01:02:38,920 --> 01:02:43,360
Speaker 1: numbers of people who are connected to illegal immigrant populations. Right,

1136
01:02:43,360 --> 01:02:46,560
Speaker 1: I mean, the this is really largely about pandering to

1137
01:02:46,760 --> 01:02:50,520
Speaker 1: the Latino Hispanic vote in America. That's why the Democrats

1138
01:02:50,560 --> 01:02:53,800
Speaker 1: are so invested in this. You notice that that Asian

1139
01:02:53,840 --> 01:02:56,400
Speaker 1: Americans they don't pay nearly as much attention to on

1140
01:02:56,480 --> 01:02:59,680
Speaker 1: this issue because there aren't nearly as many Asian American

1141
01:03:00,080 --> 01:03:03,920
Speaker 1: legal immigrants for one. But also that's not the constituency

1142
01:03:03,960 --> 01:03:07,280
Speaker 1: that the Democrats are entirely reliant on in their quest

1143
01:03:07,640 --> 01:03:12,240
Speaker 1: for state and hopefully in their minds, national elected uh,

1144
01:03:12,720 --> 01:03:18,560
Speaker 1: national elections victory. So that's I think that the proper

1145
01:03:18,600 --> 01:03:22,479
Speaker 1: context for this discussion. The Trump administration needs to put

1146
01:03:22,560 --> 01:03:27,000
Speaker 1: more of a focus on this issue of immigration, immigration policy.

1147
01:03:27,000 --> 01:03:29,720
Speaker 1: I'm gonna talk to you more about that as well

1148
01:03:29,880 --> 01:03:33,480
Speaker 1: on on this show in general, but the Trump administration

1149
01:03:34,320 --> 01:03:37,840
Speaker 1: should be looking at ways to raise this and the

1150
01:03:37,880 --> 01:03:41,200
Speaker 1: sanctuary cities debate that's going to play out I think

1151
01:03:41,200 --> 01:03:43,760
Speaker 1: will be very favorable for the administration because at the

1152
01:03:43,960 --> 01:03:47,640
Speaker 1: end of the day, the Democrats on this are on

1153
01:03:47,680 --> 01:03:51,120
Speaker 1: the side of cynicism and lawlessness, and they can say

1154
01:03:51,160 --> 01:03:54,440
Speaker 1: as much as they want that this is about being kind,

1155
01:03:54,640 --> 01:03:59,680
Speaker 1: that this is about being favorable towards the UH, the

1156
01:04:00,480 --> 01:04:03,640
Speaker 1: you know, the masses from all over the world yearning

1157
01:04:03,640 --> 01:04:06,240
Speaker 1: to live and breathe free and all that. I understand

1158
01:04:06,240 --> 01:04:09,160
Speaker 1: the rhetoric, right, I also understand some of the phrases

1159
01:04:09,680 --> 01:04:13,919
Speaker 1: that they use, UH for how they're trying to say

1160
01:04:14,120 --> 01:04:15,960
Speaker 1: or how they're trying to frame the debate, things like

1161
01:04:16,000 --> 01:04:20,160
Speaker 1: we are a nation of immigrants, etcetera, etcetera. But at

1162
01:04:20,360 --> 01:04:24,480
Speaker 1: at the end of the day, the sanctuary policy is

1163
01:04:24,560 --> 01:04:29,160
Speaker 1: a form of uh collusion against the law. How about that?

1164
01:04:29,160 --> 01:04:32,000
Speaker 1: That's what the Trump administration should start to say that

1165
01:04:32,240 --> 01:04:37,080
Speaker 1: local jurisdictions are colluding with that. Local police departments, local

1166
01:04:37,240 --> 01:04:42,439
Speaker 1: mayor's offices, and even some state houses are colluding with

1167
01:04:42,880 --> 01:04:46,560
Speaker 1: immigration violations. They are colluding with illegal immigrants because they

1168
01:04:46,600 --> 01:04:50,280
Speaker 1: are they are working with them to get around the

1169
01:04:50,280 --> 01:04:55,160
Speaker 1: immigration system. There are activist groups that are trying to

1170
01:04:55,240 --> 01:04:59,240
Speaker 1: constantly teach illegal immigrants how to evade law enforcement, how

1171
01:04:59,360 --> 01:05:03,200
Speaker 1: to uh stay in the country illegally, how to get

1172
01:05:03,240 --> 01:05:07,240
Speaker 1: around the laws that are meant to prevent illegals from working. Uh.

1173
01:05:07,240 --> 01:05:09,760
Speaker 1: And I just always want to pose to my my

1174
01:05:09,840 --> 01:05:12,680
Speaker 1: friends here in New York City who are very pro

1175
01:05:12,880 --> 01:05:14,680
Speaker 1: illegal immigrant, a lot of them. I mean, you come

1176
01:05:14,680 --> 01:05:16,960
Speaker 1: across this all the time because it's an it's an

1177
01:05:16,960 --> 01:05:21,440
Speaker 1: emotionally satisfying perspective. It's an emotionally satisfying position. You know.

1178
01:05:21,680 --> 01:05:23,680
Speaker 1: I just want anyone who wants to come here to

1179
01:05:23,720 --> 01:05:26,400
Speaker 1: be able to stay well, you know, think about your house.

1180
01:05:26,520 --> 01:05:28,720
Speaker 1: You know. I wish that I could let anyone who

1181
01:05:28,760 --> 01:05:31,320
Speaker 1: wanted to stay in my apartment. But it would be

1182
01:05:31,320 --> 01:05:34,280
Speaker 1: a problem pretty quickly. I have to, you know, put

1183
01:05:34,360 --> 01:05:38,840
Speaker 1: limitations on it. Right. The country is similar in that regard.

1184
01:05:38,960 --> 01:05:42,120
Speaker 1: You have to make distinctions. Um, you have to have laws,

1185
01:05:42,600 --> 01:05:45,920
Speaker 1: you have to have people who are invited, um. And

1186
01:05:45,960 --> 01:05:47,840
Speaker 1: that's the way it is going to be. And sanctuary

1187
01:05:47,880 --> 01:05:50,840
Speaker 1: cities are an example of how local governments are just

1188
01:05:51,040 --> 01:05:55,400
Speaker 1: refusing to be lawful, um, and on our undermining the

1189
01:05:55,440 --> 01:05:57,120
Speaker 1: rule of law. All right, we're gonna head a break.

1190
01:05:57,120 --> 01:06:02,400
Speaker 1: Your team will be right back. Team. I think it

1191
01:06:02,480 --> 01:06:05,600
Speaker 1: was just the other day that I mentioned Foreign Affairs

1192
01:06:05,640 --> 01:06:08,800
Speaker 1: to you as a very worthwhile journal of international affairs.

1193
01:06:08,840 --> 01:06:10,720
Speaker 1: If you're looking for that kind of thing, if you

1194
01:06:10,760 --> 01:06:13,080
Speaker 1: want a little light beach reading, if you want to

1195
01:06:13,120 --> 01:06:15,480
Speaker 1: hang out with the fancy types on the veranda, if

1196
01:06:15,480 --> 01:06:18,959
Speaker 1: you want to go have uh Mint Julips with Joe

1197
01:06:19,000 --> 01:06:22,400
Speaker 1: Scarborough out of the country club and nantucket, you can

1198
01:06:22,440 --> 01:06:25,120
Speaker 1: bring a copy of Foreign Affairs and they'll say, god man,

1199
01:06:25,840 --> 01:06:28,800
Speaker 1: foreign Affairs. I see, they'll be very pleased with you.

1200
01:06:29,120 --> 01:06:32,160
Speaker 1: It's better, by the way, if you read Foreign Affairs magazine,

1201
01:06:32,200 --> 01:06:34,439
Speaker 1: if you do it with a monocle and a top hat.

1202
01:06:34,600 --> 01:06:36,280
Speaker 1: I'm just telling you, it's the way to do it.

1203
01:06:36,720 --> 01:06:41,280
Speaker 1: So the let's talk about the reality of the immigration

1204
01:06:41,360 --> 01:06:44,600
Speaker 1: system though in this country and in another country. As

1205
01:06:44,640 --> 01:06:49,200
Speaker 1: described by Jonathan Temperman, who's the managing editor of Foreign Affairs,

1206
01:06:49,960 --> 01:06:53,000
Speaker 1: we're gonna talk about Canada. Now, you think of Canada,

1207
01:06:53,080 --> 01:06:55,120
Speaker 1: as he points out, and I have mentioned this here

1208
01:06:55,160 --> 01:06:58,120
Speaker 1: before on the show, when you think of Canada, you

1209
01:06:58,200 --> 01:07:02,000
Speaker 1: just usually think of how it's got universal health care.

1210
01:07:02,480 --> 01:07:06,840
Speaker 1: They're really okay with weed smoking, gay marriage is legal.

1211
01:07:06,920 --> 01:07:10,160
Speaker 1: There's a lot of stuff in Canada there, uh, Prime Minister,

1212
01:07:10,840 --> 01:07:14,560
Speaker 1: he's like this uh very uh how do you say, rugged,

1213
01:07:14,960 --> 01:07:19,160
Speaker 1: handsome Canadian man who you know, would like to tell

1214
01:07:19,240 --> 01:07:22,440
Speaker 1: all the first ladies of all the world bonjeur. I

1215
01:07:22,440 --> 01:07:24,560
Speaker 1: guess he's he doesn't really sound like that. He actually

1216
01:07:24,560 --> 01:07:26,040
Speaker 1: doesn't have much of an accident at all, but I

1217
01:07:26,120 --> 01:07:27,960
Speaker 1: like to think of him that way. All of a sudden,

1218
01:07:27,960 --> 01:07:31,320
Speaker 1: Justin Trudeau has like a galois and he's wearing a

1219
01:07:31,400 --> 01:07:33,200
Speaker 1: beret and he's like, I am as a Prime Minister

1220
01:07:33,240 --> 01:07:35,560
Speaker 1: of Canada, I have come to take all of your

1221
01:07:35,600 --> 01:07:40,080
Speaker 1: of fancy stuff. But that's not really true. So he is,

1222
01:07:40,720 --> 01:07:43,000
Speaker 1: there's there's a country Canada, a country that obviously has

1223
01:07:43,040 --> 01:07:47,320
Speaker 1: some very leftist tendency, is very progressive, and yet when

1224
01:07:47,320 --> 01:07:49,760
Speaker 1: you look at their immigration policy as this piece it's

1225
01:07:49,800 --> 01:07:51,760
Speaker 1: actually in the New York Times, but you look at

1226
01:07:51,760 --> 01:07:57,720
Speaker 1: this immigration policy and they're making far more sensible choices

1227
01:07:58,040 --> 01:08:01,440
Speaker 1: as a general, uh rule, when it comes to immigration

1228
01:08:01,560 --> 01:08:05,640
Speaker 1: than we are here in the United States. Last year, quote,

1229
01:08:05,680 --> 01:08:09,200
Speaker 1: Canada admitted more than three hundred and twenty thousand newcomers,

1230
01:08:09,200 --> 01:08:12,040
Speaker 1: the most on record. Canada boast one of the highest

1231
01:08:12,080 --> 01:08:15,560
Speaker 1: per capita immigration rates in the world, about three times

1232
01:08:15,640 --> 01:08:18,880
Speaker 1: higher than the United States. More than twenty percent of

1233
01:08:18,920 --> 01:08:22,719
Speaker 1: Canadians are four and born. That's almost twice the American total,

1234
01:08:22,840 --> 01:08:26,479
Speaker 1: even if you include undocumented immigrants, and Ottawa plans to

1235
01:08:26,640 --> 01:08:31,920
Speaker 1: increase the number in the years ahead. Now you're saying, wow, Canada, Uh,

1236
01:08:32,080 --> 01:08:34,720
Speaker 1: You're you're gonna have problems like Europe has had with

1237
01:08:35,200 --> 01:08:39,280
Speaker 1: rising crime rates and the cultural clashes that come from

1238
01:08:39,400 --> 01:08:43,840
Speaker 1: disparate cultures showing up in your country. That also oftentimes

1239
01:08:43,840 --> 01:08:48,120
Speaker 1: have individuals not particularly well equipped to compete in the

1240
01:08:48,160 --> 01:08:51,880
Speaker 1: modern economy. They don't necessarily have the skill set. Uh.

1241
01:08:51,960 --> 01:08:55,920
Speaker 1: But in the case of Canada, that's actually not true

1242
01:08:56,600 --> 01:09:02,880
Speaker 1: because Canadians are picking their immigrants based on a very

1243
01:09:02,920 --> 01:09:10,080
Speaker 1: stringent scale of economic desirability. That's right. The Canadians look

1244
01:09:10,080 --> 01:09:13,920
Speaker 1: at people and actually have a points system in place.

1245
01:09:14,560 --> 01:09:20,559
Speaker 1: They are a merit based immigration system country. UH. And

1246
01:09:20,600 --> 01:09:22,840
Speaker 1: now Trump has been talking about this, and this is

1247
01:09:22,880 --> 01:09:25,559
Speaker 1: a place where I think there's an enormous opportunity for

1248
01:09:25,640 --> 01:09:28,760
Speaker 1: the President to refocus on an issue that has a

1249
01:09:28,760 --> 01:09:31,680
Speaker 1: lot of residents, not just with his base, but with

1250
01:09:31,720 --> 01:09:38,120
Speaker 1: all Americans. Canada is looking at its immigrants as people

1251
01:09:38,200 --> 01:09:41,080
Speaker 1: who are going to have to contribute to the economy

1252
01:09:41,200 --> 01:09:45,519
Speaker 1: right away. And this means that Canadians are bringing in

1253
01:09:45,600 --> 01:09:51,400
Speaker 1: people who have a tremendously high number high percentage overall

1254
01:09:52,000 --> 01:09:58,439
Speaker 1: of UH, of economic achievement, of academic achievement. UH. They

1255
01:09:58,479 --> 01:10:03,519
Speaker 1: look at age, education, job skills, language ability. They pick

1256
01:10:03,640 --> 01:10:07,320
Speaker 1: people like they're picking an all star team. And that's

1257
01:10:07,520 --> 01:10:10,280
Speaker 1: and that's how they have a majority of the immigrants

1258
01:10:12,040 --> 01:10:16,719
Speaker 1: were admitted just because they were again economic all stars,

1259
01:10:16,760 --> 01:10:20,040
Speaker 1: so to speak. In our country. Do you know what

1260
01:10:20,160 --> 01:10:27,160
Speaker 1: the number is ten ten of immigrants to America in

1261
01:10:28,240 --> 01:10:32,120
Speaker 1: I think was the year. Um, we're based on purely

1262
01:10:32,200 --> 01:10:38,160
Speaker 1: economic grounds. We are overwhelmingly a system that is premised

1263
01:10:38,200 --> 01:10:42,680
Speaker 1: on what they call family reunification, which is really just

1264
01:10:42,800 --> 01:10:47,280
Speaker 1: a way of saying chain migration, i e. If someone

1265
01:10:47,360 --> 01:10:50,439
Speaker 1: gets into America becomes a permanent resident, they can then

1266
01:10:50,479 --> 01:10:54,520
Speaker 1: sponsor the rest of all of their family members, including

1267
01:10:54,560 --> 01:10:57,840
Speaker 1: some more distant family members by the way, to come

1268
01:10:57,840 --> 01:10:59,680
Speaker 1: into the country, and they go to the front of

1269
01:10:59,680 --> 01:11:01,760
Speaker 1: the law mine. And so by the way, if you

1270
01:11:01,800 --> 01:11:04,479
Speaker 1: are from a country, if you're rather from a family

1271
01:11:05,360 --> 01:11:10,280
Speaker 1: where you have you know, fifteen immediate family members and

1272
01:11:10,400 --> 01:11:14,160
Speaker 1: one of them gets into America, legally, that person can

1273
01:11:14,200 --> 01:11:16,080
Speaker 1: sponsor all the rest and they go to the front

1274
01:11:16,120 --> 01:11:19,160
Speaker 1: of the line, so to speak. In the immigration system,

1275
01:11:19,200 --> 01:11:22,040
Speaker 1: it's just insane when you look at the way we're

1276
01:11:22,080 --> 01:11:26,120
Speaker 1: doing things. Um, the the skills gap, by the way,

1277
01:11:26,160 --> 01:11:29,240
Speaker 1: between Canadians and their immigrants is very interesting because the

1278
01:11:29,280 --> 01:11:33,000
Speaker 1: immigrants have higher levels of education, higher levels of economic achievement.

1279
01:11:33,520 --> 01:11:36,840
Speaker 1: And I think that Americans would feel much better about

1280
01:11:36,880 --> 01:11:40,840
Speaker 1: the way their government approaches the immigration system if we

1281
01:11:40,920 --> 01:11:44,839
Speaker 1: knew that it was being done to benefit all people

1282
01:11:44,960 --> 01:11:49,959
Speaker 1: in this country. Already, the immigration system, without apology, without

1283
01:11:50,040 --> 01:11:57,640
Speaker 1: any hesitation or prevarication, immigration should benefit Americans. Immigration is

1284
01:11:57,680 --> 01:12:01,040
Speaker 1: not a welfare system for the world. Immigration to America

1285
01:12:01,680 --> 01:12:06,080
Speaker 1: should not be viewed as the Earth's soup kitchen and

1286
01:12:06,520 --> 01:12:09,880
Speaker 1: a job's program. But a lot of the time we're

1287
01:12:09,880 --> 01:12:13,200
Speaker 1: not even talking about jobs that are contributing much to

1288
01:12:13,200 --> 01:12:15,439
Speaker 1: the economy. When you add in the benefits of those

1289
01:12:15,439 --> 01:12:17,519
Speaker 1: who at the lower end of the wage scale, for

1290
01:12:17,600 --> 01:12:20,559
Speaker 1: recent immigrants who don't speak English, is very likely they're

1291
01:12:20,560 --> 01:12:22,880
Speaker 1: going to take in much more than they put out

1292
01:12:23,200 --> 01:12:26,839
Speaker 1: in terms of the economy. So while you have, for example,

1293
01:12:26,880 --> 01:12:30,719
Speaker 1: open borders advocates at places like Cato Institute will talk

1294
01:12:31,040 --> 01:12:33,000
Speaker 1: it's a think tank in d C. That's really all

1295
01:12:33,040 --> 01:12:36,080
Speaker 1: about open borders. Uh, that's not the only thing, but

1296
01:12:36,240 --> 01:12:40,840
Speaker 1: they're very big on that. It's libertarian. They will say, oh,

1297
01:12:40,880 --> 01:12:44,400
Speaker 1: well they increase g D g MP, you know, g

1298
01:12:44,600 --> 01:12:50,040
Speaker 1: MP will increase. Uh, and overall that's true. But but

1299
01:12:50,120 --> 01:12:53,040
Speaker 1: that's just like saying, if there are more people in

1300
01:12:53,120 --> 01:12:56,040
Speaker 1: a place, then the population increases. I mean, of course

1301
01:12:56,040 --> 01:12:59,400
Speaker 1: there'll be more economic activity with more people, But is

1302
01:12:59,439 --> 01:13:03,680
Speaker 1: that econom my activity on net a drag or a

1303
01:13:03,840 --> 01:13:07,320
Speaker 1: benefit to the people that are already in the economy. Right,

1304
01:13:07,640 --> 01:13:11,320
Speaker 1: So you look at Canada and they're right to our north.

1305
01:13:11,560 --> 01:13:15,880
Speaker 1: There really our closest ally and culturally, and in so

1306
01:13:15,920 --> 01:13:19,320
Speaker 1: many ways. The similarities are like, anyone from American can

1307
01:13:19,360 --> 01:13:21,960
Speaker 1: pretty much go live in Canada and feel at home

1308
01:13:22,000 --> 01:13:23,920
Speaker 1: and be happy. I think you might be a little cold,

1309
01:13:24,240 --> 01:13:26,479
Speaker 1: you might have to play a little more hockey and

1310
01:13:26,640 --> 01:13:29,040
Speaker 1: love maple syrup a little bit more than you had before.

1311
01:13:29,600 --> 01:13:33,080
Speaker 1: But Canada is a very very close cousin, close neighbor

1312
01:13:33,280 --> 01:13:36,680
Speaker 1: of the United States in every sense, literally and figuratively,

1313
01:13:37,200 --> 01:13:41,599
Speaker 1: and they have an immigration policy that we should mimic.

1314
01:13:42,000 --> 01:13:44,320
Speaker 1: We should be doing the same thing that the Canadians

1315
01:13:44,320 --> 01:13:47,360
Speaker 1: are doing. And when the activist groups and the community

1316
01:13:47,439 --> 01:13:50,160
Speaker 1: organizers and all the rest in this country start to

1317
01:13:50,160 --> 01:13:54,080
Speaker 1: scream that it's racist, that it's evil, it's vindictive, at

1318
01:13:54,120 --> 01:13:56,360
Speaker 1: least we can point and say, okay, so is Canada

1319
01:13:56,479 --> 01:13:59,600
Speaker 1: racist country? Because Canada is full of immigrants. It's just

1320
01:13:59,720 --> 01:14:04,519
Speaker 1: full of college educated, multi lingual immigrants who are ready

1321
01:14:04,560 --> 01:14:06,400
Speaker 1: to rock as soon as they arrive in Canada. They

1322
01:14:06,400 --> 01:14:10,560
Speaker 1: are not charity cases. Overwhelmingly. It's an important lesson for

1323
01:14:10,600 --> 01:14:15,120
Speaker 1: US and the Immigration front um SO team. I just

1324
01:14:15,160 --> 01:14:17,000
Speaker 1: thought that we should. You know, I really wish the

1325
01:14:17,000 --> 01:14:21,519
Speaker 1: Trump administration would take a longer look at immigration as

1326
01:14:21,560 --> 01:14:24,479
Speaker 1: an issue for them because it rallied the base so

1327
01:14:24,640 --> 01:14:29,200
Speaker 1: much during the primary and during the general election two

1328
01:14:29,479 --> 01:14:31,519
Speaker 1: and Trump has been pretty quiet on it. We don't

1329
01:14:31,520 --> 01:14:35,400
Speaker 1: have a wall yet, we don't have uh an immigration

1330
01:14:35,479 --> 01:14:38,360
Speaker 1: bill that's even being discussed. And I know they're bogged

1331
01:14:38,360 --> 01:14:41,360
Speaker 1: down with healthcare, and I know they're bogged down with

1332
01:14:41,560 --> 01:14:46,160
Speaker 1: taxes coming after healthcare. I understand, I get all of that.

1333
01:14:46,720 --> 01:14:50,200
Speaker 1: But this isn't This is a place where conservatives where

1334
01:14:50,240 --> 01:14:53,640
Speaker 1: the right can win, can win on the merits of

1335
01:14:53,680 --> 01:14:56,519
Speaker 1: the argument, because it'll be very hard for the Nancy

1336
01:14:56,560 --> 01:14:59,320
Speaker 1: Pelosi's and the Chuck Schumer's the world to stand up

1337
01:14:59,360 --> 01:15:04,440
Speaker 1: and say that we should be taking in overwhelmingly predominantly

1338
01:15:04,680 --> 01:15:09,479
Speaker 1: charity cases as immigrants or chain migration family They call

1339
01:15:09,520 --> 01:15:11,880
Speaker 1: it family reunification because that's the way of saying, well,

1340
01:15:12,120 --> 01:15:14,559
Speaker 1: you don't want broken families, do you. Well, that just

1341
01:15:14,600 --> 01:15:16,560
Speaker 1: means that anybody who comes here gets to bring it.

1342
01:15:16,720 --> 01:15:21,320
Speaker 1: You're not admitting one immigrant from a impoverished third world country.

1343
01:15:21,400 --> 01:15:25,320
Speaker 1: You're admitting fifteen. You know, you're admitting however many they

1344
01:15:25,320 --> 01:15:28,000
Speaker 1: can get to join them here, which is just not

1345
01:15:28,560 --> 01:15:31,000
Speaker 1: You know, this isn't about being mean. It's not about

1346
01:15:31,200 --> 01:15:33,639
Speaker 1: making anyone feel bad. It's about a policy that will

1347
01:15:33,680 --> 01:15:37,040
Speaker 1: benefit the most Americans possible, and that's what we need

1348
01:15:37,080 --> 01:15:39,880
Speaker 1: an immigration and Trump should be on this. And it's

1349
01:15:39,880 --> 01:15:42,160
Speaker 1: a very good piece in New York Times from this

1350
01:15:42,280 --> 01:15:45,479
Speaker 1: Foreign Affairs editor on that, and I would recommend it

1351
01:15:45,520 --> 01:15:48,639
Speaker 1: to you all. We should just take Canada system and

1352
01:15:48,720 --> 01:15:53,439
Speaker 1: tweak it and do an American version of it, America style. Alright, team,

1353
01:15:53,439 --> 01:15:55,679
Speaker 1: We've got a lot coming up in the next hour,

1354
01:15:55,800 --> 01:15:59,200
Speaker 1: including algebra and National Junk Food Day. Stay with me,

1355
01:16:02,640 --> 01:16:07,800
Speaker 1: Buck Sexton with America. Now, are the Freedom Hut is

1356
01:16:07,920 --> 01:16:12,400
Speaker 1: fired up? As team Buck assembles shouldered as shoulder shields

1357
01:16:12,479 --> 01:16:16,679
Speaker 1: high call in eight four four nine hundred bucks. That's

1358
01:16:16,720 --> 01:16:21,519
Speaker 1: eight four four, nine hundred to eight to five. Should

1359
01:16:21,680 --> 01:16:27,240
Speaker 1: colleges abolish algebra, at least community colleges. It's a question

1360
01:16:28,000 --> 01:16:34,479
Speaker 1: that NPR raised recently with a senior California Community College

1361
01:16:34,880 --> 01:16:41,639
Speaker 1: System official. He's the chancellor, Elie Ortiz Oakley u Eloy

1362
01:16:41,880 --> 01:16:47,599
Speaker 1: rather or Tease Oakley, and he was talking to NPR

1363
01:16:47,720 --> 01:16:53,919
Speaker 1: about how algebra is well the biggest point of failure

1364
01:16:54,040 --> 01:16:59,439
Speaker 1: in a lot of community college students academic lives. And

1365
01:16:59,560 --> 01:17:02,360
Speaker 1: so the case is This is fascinating, and this mirror

1366
01:17:02,400 --> 01:17:04,080
Speaker 1: is a lot of the way higher education is going

1367
01:17:04,080 --> 01:17:09,599
Speaker 1: these days. People are graduating high school without basic algebra skills.

1368
01:17:09,680 --> 01:17:12,720
Speaker 1: Think about this. I mean, in a in a relatively

1369
01:17:13,800 --> 01:17:19,639
Speaker 1: uh decent high school curriculum, you're gonna take algebra at

1370
01:17:19,880 --> 01:17:25,360
Speaker 1: least by your sophomore junior year. So people are going

1371
01:17:25,400 --> 01:17:28,519
Speaker 1: through all four years of high school without algebra one,

1372
01:17:28,600 --> 01:17:32,000
Speaker 1: basic algra. We're not talking about multi variable calculus, We're

1373
01:17:32,000 --> 01:17:38,719
Speaker 1: not talking about geometry or even precalcu. We're just talking

1374
01:17:38,760 --> 01:17:42,240
Speaker 1: about algebra one. And at community colleges, people can't do

1375
01:17:42,360 --> 01:17:46,120
Speaker 1: algebra one in very large numbers. According to this NPR piece,

1376
01:17:46,640 --> 01:17:51,160
Speaker 1: sixty of those who are enrolled are required to take

1377
01:17:51,800 --> 01:17:55,800
Speaker 1: at least one math course, and nearly eighty percent in

1378
01:17:55,880 --> 01:17:59,720
Speaker 1: community colleges never complete that requirement. So this is a

1379
01:17:59,800 --> 01:18:03,519
Speaker 1: huge stumbling block. Now. The trend in higher education, of course,

1380
01:18:03,560 --> 01:18:07,400
Speaker 1: wherever there is a point of failure is instead of saying,

1381
01:18:07,880 --> 01:18:11,200
Speaker 1: how are we getting to this point where students don't

1382
01:18:11,320 --> 01:18:15,080
Speaker 1: have the ability to do basic algebra? What's going on

1383
01:18:15,120 --> 01:18:17,400
Speaker 1: in our high school system, they come at it from

1384
01:18:17,400 --> 01:18:19,160
Speaker 1: the other end and say, well, you know, maybe we

1385
01:18:19,200 --> 01:18:24,200
Speaker 1: should just eliminate this requirement altogether. Maybe people don't need

1386
01:18:24,240 --> 01:18:27,280
Speaker 1: to be able to do algebra to function in their

1387
01:18:27,360 --> 01:18:29,960
Speaker 1: day to day lives. Now, I try to take this

1388
01:18:30,080 --> 01:18:33,519
Speaker 1: argument as seriously as possible and from as many different

1389
01:18:33,840 --> 01:18:40,000
Speaker 1: angles pardon the geometry wordplay as possible, because I was

1390
01:18:40,040 --> 01:18:42,800
Speaker 1: never somebody who was particularly good at or comfortable with math,

1391
01:18:42,880 --> 01:18:45,679
Speaker 1: or at least I was good at math and until

1392
01:18:45,760 --> 01:18:47,680
Speaker 1: high school, and then quite honestly, I got a bit

1393
01:18:47,680 --> 01:18:49,920
Speaker 1: distracted and didn't study as hard as I should have

1394
01:18:50,479 --> 01:18:53,360
Speaker 1: and fell a bit behind in my math ability. But

1395
01:18:53,400 --> 01:18:55,600
Speaker 1: I never liked math. I was never somebody that was

1396
01:18:55,640 --> 01:19:00,800
Speaker 1: excited about math, and I actually remember having some pretty

1397
01:19:01,120 --> 01:19:05,439
Speaker 1: cold sweats what I was in different math classes and

1398
01:19:05,560 --> 01:19:10,120
Speaker 1: found myself in over my head um. But the reality

1399
01:19:10,200 --> 01:19:13,400
Speaker 1: here is that when you look at what the chancellor

1400
01:19:13,439 --> 01:19:16,920
Speaker 1: of the California Community College system is suggesting, suggesting that

1401
01:19:17,200 --> 01:19:20,880
Speaker 1: they should just no longer require even a basic level

1402
01:19:21,160 --> 01:19:24,240
Speaker 1: of algebra for those who are graduated from community college,

1403
01:19:24,800 --> 01:19:29,040
Speaker 1: the the truth of of this is, sure you don't

1404
01:19:29,240 --> 01:19:32,080
Speaker 1: use algebra generally in your day to day life. I

1405
01:19:32,160 --> 01:19:35,840
Speaker 1: have not had to set up a quadratic equation uh

1406
01:19:35,880 --> 01:19:39,080
Speaker 1: since high school. And I also managed to avoid taking

1407
01:19:39,120 --> 01:19:42,040
Speaker 1: math in college, which is unusual. But I went to

1408
01:19:42,080 --> 01:19:45,200
Speaker 1: a liberal arts college with no core curriculum, which was nice,

1409
01:19:46,360 --> 01:19:48,680
Speaker 1: but I haven't had to use it in my day

1410
01:19:48,720 --> 01:19:52,000
Speaker 1: to day life. That's fair to say, but the same

1411
01:19:52,080 --> 01:19:55,840
Speaker 1: case could be made about any number of academic disciplines.

1412
01:19:56,320 --> 01:19:59,800
Speaker 1: It's on it's unusual or unlikely that you will end

1413
01:19:59,880 --> 01:20:02,200
Speaker 1: up quoting Shakespeare in your day to day life, and

1414
01:20:02,520 --> 01:20:05,920
Speaker 1: quite honestly, if you do, people probably make fun of

1415
01:20:05,960 --> 01:20:08,360
Speaker 1: you a little bit. Uh, if you walk around what

1416
01:20:08,439 --> 01:20:12,120
Speaker 1: it's tangled? Where we we when first we practice to deceive?

1417
01:20:12,240 --> 01:20:13,880
Speaker 1: I don't think people are gonna want to hang out

1418
01:20:13,880 --> 01:20:16,639
Speaker 1: with you more so this raises questions then, of course,

1419
01:20:16,680 --> 01:20:20,240
Speaker 1: what is the purpose of an education? What's the purpose

1420
01:20:20,360 --> 01:20:24,120
Speaker 1: of education at the level of post high school study?

1421
01:20:24,640 --> 01:20:28,960
Speaker 1: And if it's professional or vocational training, that's fine, and

1422
01:20:29,360 --> 01:20:33,080
Speaker 1: I really do wish there would be less of a

1423
01:20:33,840 --> 01:20:36,559
Speaker 1: it's a stigmas too strong a word, but there's still

1424
01:20:36,680 --> 01:20:42,680
Speaker 1: a social consensus of sorts that learning how to do

1425
01:20:42,720 --> 01:20:46,880
Speaker 1: a trade in your post high school years as a

1426
01:20:46,920 --> 01:20:50,880
Speaker 1: form of education is not That's not really the American dream.

1427
01:20:51,000 --> 01:20:55,320
Speaker 1: You want a four year undergraduate degree, if possible, if not,

1428
01:20:55,400 --> 01:20:58,320
Speaker 1: you at least want to graduate from a community college

1429
01:20:58,800 --> 01:21:02,320
Speaker 1: program that's more of a generalist course of study. And

1430
01:21:02,360 --> 01:21:04,880
Speaker 1: I think that that's wrong headed. I think that that

1431
01:21:04,960 --> 01:21:08,439
Speaker 1: needs to change because a lot of particularly a lot

1432
01:21:08,439 --> 01:21:13,400
Speaker 1: of four year undergraduate programs are just incredibly expensive babysitting

1433
01:21:13,439 --> 01:21:17,360
Speaker 1: situations where you have young people who aren't studying, aren't

1434
01:21:17,360 --> 01:21:21,800
Speaker 1: taking anything seriously, aren't learning any particularly valuable skills, and

1435
01:21:21,800 --> 01:21:26,480
Speaker 1: they're taking out these enormous loans thirty forty fifty, sometimes

1436
01:21:26,479 --> 01:21:28,599
Speaker 1: more like a hundred and fifty, but that's really crazy.

1437
01:21:28,640 --> 01:21:32,600
Speaker 1: But people do do that thousand dollars in order to

1438
01:21:32,880 --> 01:21:36,200
Speaker 1: complete this level of education. And I just think that

1439
01:21:36,880 --> 01:21:39,640
Speaker 1: when you look at what's going on in community colleges,

1440
01:21:40,280 --> 01:21:44,120
Speaker 1: it's really just symptomatic. The failures of people to be

1441
01:21:44,160 --> 01:21:47,479
Speaker 1: able to do algebra at a very basic level is

1442
01:21:47,520 --> 01:21:52,080
Speaker 1: symptomatic of the failures of the American predominantly the American

1443
01:21:52,160 --> 01:21:56,040
Speaker 1: public high school system, and that they're pushing students through

1444
01:21:56,120 --> 01:22:01,240
Speaker 1: high school who can't do basic algebra is a concern.

1445
01:22:01,400 --> 01:22:04,599
Speaker 1: Instead of approaching this from the perspective of, oh, what

1446
01:22:04,640 --> 01:22:07,519
Speaker 1: can we do to make this easier on community college students,

1447
01:22:07,800 --> 01:22:09,960
Speaker 1: I think the first focus should be why are people

1448
01:22:10,000 --> 01:22:13,280
Speaker 1: graduating high school without being able to do this pretty

1449
01:22:13,320 --> 01:22:18,320
Speaker 1: basic level of mathematics. And you see, of course, in

1450
01:22:18,360 --> 01:22:23,200
Speaker 1: the discussion of this on on NPR, UH the the

1451
01:22:23,280 --> 01:22:28,280
Speaker 1: individual who's being asked the questions here immediately is is

1452
01:22:28,320 --> 01:22:31,800
Speaker 1: pushed to talk about the social justice implications of us.

1453
01:22:31,800 --> 01:22:34,960
Speaker 1: Here's the question, U, rates of failure and algebra are

1454
01:22:35,040 --> 01:22:37,919
Speaker 1: higher for minority groups than they are for white students.

1455
01:22:38,280 --> 01:22:40,680
Speaker 1: Why do you think that is? Do you think a

1456
01:22:40,680 --> 01:22:44,240
Speaker 1: different curriculum would have less disparate results by ethnic or

1457
01:22:44,320 --> 01:22:47,559
Speaker 1: racial group? And here's the answer for the chancellor of

1458
01:22:47,600 --> 01:22:51,920
Speaker 1: Community Colleges in California. Quote. First of all, we've seen

1459
01:22:52,000 --> 01:22:54,200
Speaker 1: in the data from many of the pilots across the

1460
01:22:54,200 --> 01:22:58,000
Speaker 1: country that are using alternative math pathways that are just

1461
01:22:58,200 --> 01:23:01,719
Speaker 1: as rigorous as an algebra corp. We've seen much greater

1462
01:23:01,800 --> 01:23:05,160
Speaker 1: success for students because many of these students can relate

1463
01:23:05,240 --> 01:23:08,920
Speaker 1: to these different kinds of math depending on which program

1464
01:23:08,920 --> 01:23:11,880
Speaker 1: of study they're in. They can see how it works

1465
01:23:11,880 --> 01:23:14,120
Speaker 1: in their daily life and how it's going to work

1466
01:23:14,160 --> 01:23:17,880
Speaker 1: in their career. Okay, before I get into the second part,

1467
01:23:17,920 --> 01:23:19,160
Speaker 1: that's the end of the quote. Before I get into

1468
01:23:19,200 --> 01:23:21,439
Speaker 1: the second part of his answer, let me tell you something.

1469
01:23:21,479 --> 01:23:25,160
Speaker 1: One of the reasons why the socially justice or social

1470
01:23:25,240 --> 01:23:30,599
Speaker 1: justice UH minded left has problems with math is because

1471
01:23:30,640 --> 01:23:35,120
Speaker 1: math is objective. Math is not grading an essay. Math

1472
01:23:35,240 --> 01:23:37,200
Speaker 1: is not tell me your life story and let me

1473
01:23:37,320 --> 01:23:40,240
Speaker 1: send you to Harvard. Math is what it is. There

1474
01:23:40,240 --> 01:23:43,800
Speaker 1: are right answers and there are wrong answers. And it's

1475
01:23:43,960 --> 01:23:47,360
Speaker 1: very easy also to know whether someone has the right

1476
01:23:47,439 --> 01:23:49,800
Speaker 1: or the wrong answer, and there's really no rule, there's

1477
01:23:49,800 --> 01:23:55,120
Speaker 1: no leeway. And so as objective academic criteria, and as

1478
01:23:55,160 --> 01:23:58,520
Speaker 1: we look at our society, which is at least academically

1479
01:23:58,600 --> 01:24:02,679
Speaker 1: supposed to be a meritocracy, in some way is trying

1480
01:24:02,680 --> 01:24:06,840
Speaker 1: to be a meritocracy, math poses a problem because if

1481
01:24:06,880 --> 01:24:09,960
Speaker 1: you have a disparate impact, so to speak, from math,

1482
01:24:10,120 --> 01:24:12,400
Speaker 1: meaning that minority groups are not doing as well. Although

1483
01:24:12,439 --> 01:24:16,880
Speaker 1: it should be noted that based on the statistics and demographics,

1484
01:24:17,240 --> 01:24:21,719
Speaker 1: Asian Americans overall do better in math than any other group.

1485
01:24:21,960 --> 01:24:24,200
Speaker 1: This is just a fact, This is just a reality.

1486
01:24:24,479 --> 01:24:28,639
Speaker 1: People can speak about that in sort of hushed tones

1487
01:24:28,680 --> 01:24:30,679
Speaker 1: for what I mean. It's a it's a good thing, obviously,

1488
01:24:30,720 --> 01:24:33,840
Speaker 1: but people do get a little, you know, a little

1489
01:24:33,920 --> 01:24:37,360
Speaker 1: freaked out whenever you look at statistics in this way.

1490
01:24:38,120 --> 01:24:41,320
Speaker 1: But it is objective. And when they start talking about

1491
01:24:41,360 --> 01:24:46,160
Speaker 1: alternative math pathways, okay, maybe finding math that's math problems

1492
01:24:46,160 --> 01:24:49,040
Speaker 1: that are little more relatable, there's room for that. But

1493
01:24:49,120 --> 01:24:51,800
Speaker 1: I also think that what you're likely to see here,

1494
01:24:52,720 --> 01:24:57,040
Speaker 1: the most likely scenario is that they will just try

1495
01:24:57,080 --> 01:25:01,439
Speaker 1: to make the math uh simp alur and they won't

1496
01:25:01,520 --> 01:25:04,120
Speaker 1: really push people to have the same level of achievement,

1497
01:25:04,120 --> 01:25:06,719
Speaker 1: but they'll call it the same level of achievement because

1498
01:25:06,720 --> 01:25:11,559
Speaker 1: of social justice, because they want achievement parity between different

1499
01:25:11,600 --> 01:25:16,599
Speaker 1: ethnic and demographic groups in education. Anyway, back to this interview,

1500
01:25:17,000 --> 01:25:19,320
Speaker 1: this is what the chancellor says, the school chancellor for

1501
01:25:19,400 --> 01:25:22,559
Speaker 1: California Community Colleges. The second thing I'd say is, yes,

1502
01:25:22,960 --> 01:25:25,719
Speaker 1: this is a civil rights issue, but this is also

1503
01:25:25,840 --> 01:25:29,960
Speaker 1: something that plagues all Americans, particularly low income Americans. If

1504
01:25:30,000 --> 01:25:33,040
Speaker 1: you think about all the underemployed or unemployed Americans in

1505
01:25:33,080 --> 01:25:36,200
Speaker 1: this country who cannot connect to a job, the biggest

1506
01:25:36,240 --> 01:25:39,639
Speaker 1: barrier for them is this algebra requirement. It's what has

1507
01:25:39,680 --> 01:25:43,040
Speaker 1: been kept them from achieving a credential. You see, again,

1508
01:25:43,080 --> 01:25:46,519
Speaker 1: this is the thinking about this problem in the wrong

1509
01:25:46,560 --> 01:25:50,880
Speaker 1: way thinking about the result instead of the process. Is

1510
01:25:50,920 --> 01:25:56,879
Speaker 1: the problem here that algebra is blocking people from getting

1511
01:25:57,439 --> 01:26:02,000
Speaker 1: a community college degree in associate's degree? Or is the

1512
01:26:02,040 --> 01:26:06,439
Speaker 1: problem here that people going through community college or or

1513
01:26:06,640 --> 01:26:10,280
Speaker 1: entering community college can't do algebra. I think you can

1514
01:26:10,320 --> 01:26:13,960
Speaker 1: make a very clear and obvious case that what this

1515
01:26:14,040 --> 01:26:18,240
Speaker 1: is telling us this this discussion over algebra and community college,

1516
01:26:18,800 --> 01:26:23,000
Speaker 1: is not that uh, the math requirement is onerous, it's

1517
01:26:23,040 --> 01:26:26,519
Speaker 1: too hard and and and to say that math I

1518
01:26:26,560 --> 01:26:28,840
Speaker 1: don't I mean to say that math is racist, meaning

1519
01:26:28,880 --> 01:26:33,160
Speaker 1: that math somehow is it's unfair to some racial or

1520
01:26:33,200 --> 01:26:36,200
Speaker 1: ethnic groups to have a math requirement. I know, you

1521
01:26:36,280 --> 01:26:38,280
Speaker 1: say it out loud, and it's like that, does anyone

1522
01:26:38,360 --> 01:26:41,479
Speaker 1: make that argument? Well, in fact, yes, standardized tests are

1523
01:26:41,680 --> 01:26:45,360
Speaker 1: are called racist all the time. Math requirements are called

1524
01:26:45,439 --> 01:26:48,800
Speaker 1: racist and unfair. Socio economically disadvantage not just race, also

1525
01:26:48,880 --> 01:26:53,200
Speaker 1: socio economic disadvantage comes into the discussion. But really what

1526
01:26:53,280 --> 01:26:57,160
Speaker 1: we need here is a look at why are people

1527
01:26:57,200 --> 01:27:00,519
Speaker 1: graduating without this basic ability graduating high school that basic

1528
01:27:00,560 --> 01:27:05,120
Speaker 1: math ability and maybe a general degree in community college

1529
01:27:05,120 --> 01:27:08,520
Speaker 1: is not the path for everyone. Maybe more specific vocational

1530
01:27:08,560 --> 01:27:13,000
Speaker 1: professional training is I just that's the way the discussion

1531
01:27:13,080 --> 01:27:16,160
Speaker 1: should go not to view this as yet another cause

1532
01:27:16,280 --> 01:27:20,160
Speaker 1: for social justice warriors banning algebra. Alright, team, we'll be

1533
01:27:20,160 --> 01:27:24,200
Speaker 1: back with much more. Stay with me. You are now

1534
01:27:24,360 --> 01:27:29,360
Speaker 1: entering the Freedom Tactical Operations Center. All sensitive programs must

1535
01:27:29,400 --> 01:27:33,360
Speaker 1: be kept strictly. Need to know Team Bucket is cleared

1536
01:27:34,000 --> 01:27:36,599
Speaker 1: and ready to the buck brief. The Islamic State has

1537
01:27:36,720 --> 01:27:41,120
Speaker 1: lost MOSL and is losing ROCA, its capital in Syria.

1538
01:27:41,479 --> 01:27:44,960
Speaker 1: This is obviously good news for the anti Isis coalition,

1539
01:27:45,240 --> 01:27:48,800
Speaker 1: good news for the United States, good news for the

1540
01:27:49,000 --> 01:27:53,240
Speaker 1: entire world. But Isis is as much an ideology as

1541
01:27:53,280 --> 01:27:56,400
Speaker 1: it is an organization. Dash, which is what it is

1542
01:27:56,840 --> 01:28:00,599
Speaker 1: in its Arabic acronym form, is some thing that has

1543
01:28:00,640 --> 01:28:03,439
Speaker 1: spread all over the world with the help of the Internet.

1544
01:28:03,920 --> 01:28:07,760
Speaker 1: There are DASH affiliates far and wide. I'm not just

1545
01:28:07,840 --> 01:28:11,439
Speaker 1: talking about supporters and those who want to be part

1546
01:28:11,479 --> 01:28:15,559
Speaker 1: of the cyber jihad. I mean different groups that have

1547
01:28:15,720 --> 01:28:19,840
Speaker 1: either sprung up or have declared long standing groups that

1548
01:28:19,880 --> 01:28:25,360
Speaker 1: have declared affiliation with ideological kinship and direct when possible,

1549
01:28:25,520 --> 01:28:31,240
Speaker 1: organizational ties to the Islamic State. And they stretch from

1550
01:28:31,240 --> 01:28:34,640
Speaker 1: West Africa all the way to the Philippines. Now that

1551
01:28:34,800 --> 01:28:39,040
Speaker 1: ISIS and its caliphate are on the run and on

1552
01:28:39,080 --> 01:28:41,680
Speaker 1: the decline, we have to take a look at what

1553
01:28:41,760 --> 01:28:46,519
Speaker 1: the next most likely places for a caliphate to spring up.

1554
01:28:46,960 --> 01:28:50,200
Speaker 1: Because the model has been established, we look at this

1555
01:28:50,240 --> 01:28:53,560
Speaker 1: and say, hold on a minute, there is the Islamic

1556
01:28:53,640 --> 01:28:57,479
Speaker 1: state getting its butt kicked in Iraq and Syria. Why

1557
01:28:57,640 --> 01:29:00,160
Speaker 1: would we not think that they're more or less on

1558
01:29:00,200 --> 01:29:05,160
Speaker 1: the ropes. Well, Jihadas take a long narrative, and they

1559
01:29:05,280 --> 01:29:09,759
Speaker 1: view the success of ISIS in seizing Mosle, in seizing

1560
01:29:09,800 --> 01:29:12,639
Speaker 1: about a third of Iraq and seizing a large piece

1561
01:29:12,680 --> 01:29:16,519
Speaker 1: of Syria, as well as evidence that a small band

1562
01:29:16,720 --> 01:29:20,480
Speaker 1: of determined muja hadeen, a small band of holy warriors

1563
01:29:20,760 --> 01:29:25,280
Speaker 1: can in fact defeat conventional military forces on the ground,

1564
01:29:25,720 --> 01:29:31,719
Speaker 1: can seize and hold territory, and can administer a Shariah state.

1565
01:29:32,560 --> 01:29:35,240
Speaker 1: That's the lesson that many of the Jihatas around the

1566
01:29:35,240 --> 01:29:38,519
Speaker 1: world have taken from this. Yes, they are going into

1567
01:29:38,680 --> 01:29:42,160
Speaker 1: an insurgency phase in Iraq and Syria. They will continue

1568
01:29:42,160 --> 01:29:46,080
Speaker 1: to try and mount casualties. They will be involved in

1569
01:29:46,160 --> 01:29:50,760
Speaker 1: fighting for months, if not years to come. But the

1570
01:29:50,880 --> 01:29:54,600
Speaker 1: model in Iraq and Syria is going to be replicated

1571
01:29:54,760 --> 01:29:58,000
Speaker 1: if they can somewhere else in the world and there

1572
01:29:58,040 --> 01:30:02,000
Speaker 1: are no shortage of opportunit entities for ISIS to declare

1573
01:30:02,200 --> 01:30:06,120
Speaker 1: or rather for the Islamic State in an ideological sense,

1574
01:30:06,640 --> 01:30:10,040
Speaker 1: because ISIS the Islamic State in Iraq and Syria is

1575
01:30:10,080 --> 01:30:12,479
Speaker 1: no longer able to hold territory like it was in

1576
01:30:12,520 --> 01:30:18,240
Speaker 1: the past. But somewhere else there could be another caliphate established.

1577
01:30:18,240 --> 01:30:20,320
Speaker 1: It doesn't have to be very large, it doesn't have

1578
01:30:20,400 --> 01:30:25,080
Speaker 1: to be geographically important, but it will provide a clarion

1579
01:30:25,160 --> 01:30:31,439
Speaker 1: call for these UH Islamist holy warriors all over the world.

1580
01:30:32,120 --> 01:30:34,439
Speaker 1: You look at the different groups that have popped up.

1581
01:30:35,040 --> 01:30:39,400
Speaker 1: You have, for example, Nigeria's Boco Haram Boco Haram meaning

1582
01:30:39,760 --> 01:30:45,519
Speaker 1: Western education is forbidden UH. They are a horrific terrorist

1583
01:30:45,560 --> 01:30:50,240
Speaker 1: group operating in northern Nigeria UH, and they have declared

1584
01:30:51,000 --> 01:30:54,080
Speaker 1: that they are a part of their an affiliate of

1585
01:30:54,120 --> 01:30:57,800
Speaker 1: the Islamic State. You have ansar Bite Almaktis, which is

1586
01:30:57,880 --> 01:31:03,760
Speaker 1: the Islamic States outpost in Egypt's Sinai Peninsula. You have

1587
01:31:04,320 --> 01:31:09,960
Speaker 1: the Islamic State of Khorassan which has popped up in Afghanistan.

1588
01:31:10,479 --> 01:31:15,000
Speaker 1: And you even have a group in the Philippines that

1589
01:31:15,040 --> 01:31:19,400
Speaker 1: has claimed its allegiance to the Islamic State. Abu Saif,

1590
01:31:19,560 --> 01:31:23,559
Speaker 1: which has been a long known, well established Jihada group

1591
01:31:23,640 --> 01:31:27,240
Speaker 1: operating in the Philippines on the island in and around

1592
01:31:27,280 --> 01:31:30,280
Speaker 1: the island of Minda now in the southern Philippines uh

1593
01:31:30,320 --> 01:31:35,040
Speaker 1: and also group called Malte which is named for two

1594
01:31:35,120 --> 01:31:39,799
Speaker 1: brothers who, according to the Guardian newspaper, were criminals before

1595
01:31:40,040 --> 01:31:43,680
Speaker 1: they turned to armed insurrection. But so you have these

1596
01:31:43,760 --> 01:31:46,920
Speaker 1: Jihadda offshoots in the Philippines and they have tried two

1597
01:31:47,000 --> 01:31:50,920
Speaker 1: seize and hold territory, to take to take land away,

1598
01:31:50,960 --> 01:31:55,880
Speaker 1: to take control away from the government. Because this is

1599
01:31:55,920 --> 01:32:00,519
Speaker 1: now going to be the playbook for any groupe that

1600
01:32:00,760 --> 01:32:03,759
Speaker 1: is a part of or that subscribes to the Islamic

1601
01:32:03,800 --> 01:32:07,760
Speaker 1: State's ideology. It does not have to be very big,

1602
01:32:07,880 --> 01:32:10,360
Speaker 1: They don't have to have a lot of territory. If

1603
01:32:10,400 --> 01:32:13,519
Speaker 1: they can grab and hold any piece of territory, call

1604
01:32:13,560 --> 01:32:19,800
Speaker 1: it a caliphate and create some Shariah governance there, then

1605
01:32:19,840 --> 01:32:22,840
Speaker 1: they can put out the call to other fighters around

1606
01:32:22,840 --> 01:32:25,640
Speaker 1: the world. And you see that they just continue to

1607
01:32:25,760 --> 01:32:31,080
Speaker 1: encourage this behavior. So yes, the progress against the Islamic

1608
01:32:31,160 --> 01:32:34,320
Speaker 1: State is something that we're all all should be in

1609
01:32:34,360 --> 01:32:37,960
Speaker 1: are very pleased about, obviously, but that doesn't mean that

1610
01:32:38,040 --> 01:32:42,080
Speaker 1: ISIS is going away entirely. In fact, if you think

1611
01:32:42,120 --> 01:32:46,240
Speaker 1: back to the period during the Obama administration when the

1612
01:32:46,280 --> 01:32:50,960
Speaker 1: Islamic State had its jehattest blitzkrieg from Syria into a

1613
01:32:51,040 --> 01:32:57,040
Speaker 1: rock seizing Mosl, sending Iraqi forces in the thousands running

1614
01:32:57,080 --> 01:33:00,960
Speaker 1: away from the battlefield in many cases without a shot fired.

1615
01:33:01,720 --> 01:33:05,679
Speaker 1: That was not expected. That really came out of nowhere,

1616
01:33:05,840 --> 01:33:08,440
Speaker 1: and there have been or at least from the perspective

1617
01:33:08,479 --> 01:33:10,960
Speaker 1: of the press and and the Obama administration, there was

1618
01:33:11,000 --> 01:33:14,599
Speaker 1: really no preparation for that, no understanding of how dire

1619
01:33:14,680 --> 01:33:17,799
Speaker 1: the threat was. But when you look at the different

1620
01:33:17,800 --> 01:33:22,000
Speaker 1: places around the world, the different failed states or failing states,

1621
01:33:22,000 --> 01:33:27,719
Speaker 1: whether it's the Philippines, Sinai Peninsula, in Egypt, of course Libya,

1622
01:33:27,840 --> 01:33:31,040
Speaker 1: and the possibility of ISIS seizing more territory there, that's

1623
01:33:31,040 --> 01:33:35,400
Speaker 1: a very a very problematic situation for in terms of

1624
01:33:35,400 --> 01:33:37,720
Speaker 1: security in Jehadism. By the way, we know that there

1625
01:33:37,800 --> 01:33:40,479
Speaker 1: wasn't IIS affiliate that had about a hundred miles of

1626
01:33:40,640 --> 01:33:45,360
Speaker 1: coastline in Libya for a period of time before a

1627
01:33:45,400 --> 01:33:47,760
Speaker 1: militia was able to kick them out, and of course

1628
01:33:47,800 --> 01:33:51,920
Speaker 1: the militia's that replaced them or not exactly Jeffersonian democrats

1629
01:33:51,960 --> 01:33:53,960
Speaker 1: that we can agree with on a whole bunch of issues.

1630
01:33:54,400 --> 01:33:59,440
Speaker 1: So you have the Islamic States affiliate Poco Haram in Nigeria.

1631
01:34:00,080 --> 01:34:04,599
Speaker 1: You have in in Moli Jie hottest fighters who could

1632
01:34:04,640 --> 01:34:09,800
Speaker 1: seize and whole territory once again. You have ISIS entities

1633
01:34:10,160 --> 01:34:14,759
Speaker 1: in the Philippines, in Afghanistan. UH. This is a truly

1634
01:34:15,240 --> 01:34:20,519
Speaker 1: global problem, and it's why having a strategy that takes

1635
01:34:20,680 --> 01:34:24,679
Speaker 1: not just UH the previous actions of ISIS into account

1636
01:34:24,680 --> 01:34:28,519
Speaker 1: and continuing with successful operations, but trying to anticipate in

1637
01:34:28,560 --> 01:34:33,720
Speaker 1: their next moves is so important. ISIS wants another caliphate

1638
01:34:33,920 --> 01:34:37,120
Speaker 1: that's the next step in the process somewhere else in

1639
01:34:37,120 --> 01:34:39,439
Speaker 1: the world, and even if it only lasts for a

1640
01:34:39,479 --> 01:34:43,240
Speaker 1: few months, then they will of course try to set

1641
01:34:43,320 --> 01:34:46,760
Speaker 1: up a similar circumstance and take advantage of another weak

1642
01:34:46,800 --> 01:34:49,639
Speaker 1: state or weak governance in another part of the world.

1643
01:34:49,960 --> 01:34:53,800
Speaker 1: And they they hope to create a Ji hottest momentum.

1644
01:34:53,840 --> 01:34:57,960
Speaker 1: And they they are looking for their version of the

1645
01:34:57,960 --> 01:35:01,680
Speaker 1: Bolshevik Revolution. They're looking for a group of hardcore supporters

1646
01:35:01,680 --> 01:35:04,320
Speaker 1: that are only in the thousands, perhaps tens of thousands

1647
01:35:04,479 --> 01:35:08,040
Speaker 1: were able to throw a major state, and right now

1648
01:35:08,080 --> 01:35:10,400
Speaker 1: we don't think about this is likely or possible, but

1649
01:35:10,479 --> 01:35:14,040
Speaker 1: it could be Saudi Arabia, it could be Pakistan, it

1650
01:35:14,080 --> 01:35:15,680
Speaker 1: could be one of these countries at some point in

1651
01:35:15,720 --> 01:35:18,719
Speaker 1: the future that falls to a group that is driven

1652
01:35:18,720 --> 01:35:21,360
Speaker 1: by Isis ideology or that has linked to the Islamic State.

1653
01:35:21,560 --> 01:35:24,479
Speaker 1: And if that were to happen, the world overnight would

1654
01:35:24,520 --> 01:35:28,639
Speaker 1: become a very different and more dangerous place. So that's

1655
01:35:28,680 --> 01:35:32,320
Speaker 1: why keeping pressure on the Islamic State and focusing on

1656
01:35:32,360 --> 01:35:36,880
Speaker 1: these jihadists and refusing to give an inch and refusing

1657
01:35:36,920 --> 01:35:39,800
Speaker 1: to take our eye off the ball here is so important.

1658
01:35:40,240 --> 01:35:48,679
Speaker 1: And that's the Buck brief. I'll be right back. Welcome

1659
01:35:48,720 --> 01:35:51,400
Speaker 1: back to the freedom Hut on an island of liberty

1660
01:35:51,680 --> 01:35:55,080
Speaker 1: where you're the party and it's full of fellow patriots.

1661
01:35:55,360 --> 01:35:59,320
Speaker 1: Buck Sexton kicks it off. When I first saw the headline,

1662
01:35:59,360 --> 01:36:02,160
Speaker 1: I wasn't sure or that it was real, But there

1663
01:36:02,160 --> 01:36:05,440
Speaker 1: really is. A piece in the New York Times titled

1664
01:36:06,080 --> 01:36:09,960
Speaker 1: was that Racist question Mark? And they have a number

1665
01:36:10,080 --> 01:36:15,280
Speaker 1: of different writers who weigh in on questionable cases of racism.

1666
01:36:15,280 --> 01:36:19,360
Speaker 1: At least questionable according to the author's uh in question.

1667
01:36:19,439 --> 01:36:23,240
Speaker 1: Here are the authors who were writing. So in one instance,

1668
01:36:23,479 --> 01:36:27,640
Speaker 1: they cite how an African American who was ordering a coffee,

1669
01:36:28,280 --> 01:36:31,679
Speaker 1: his name was Marquess, and he had ordered a coffee,

1670
01:36:31,760 --> 01:36:36,759
Speaker 1: just a small coffee, which in Starbucks lingo is tall black,

1671
01:36:37,280 --> 01:36:41,880
Speaker 1: and so the barista, the preparer of coffee, yelled out

1672
01:36:42,240 --> 01:36:46,280
Speaker 1: in in the midst of Starbucks, tall black Marcus to

1673
01:36:46,400 --> 01:36:50,479
Speaker 1: all black Marcus, and for a moment the writer said

1674
01:36:50,520 --> 01:36:54,360
Speaker 1: he was taken aback by this. By the way, taken

1675
01:36:54,400 --> 01:36:57,640
Speaker 1: aback is taken from nautical language and has to do

1676
01:36:57,720 --> 01:37:00,479
Speaker 1: with a shift in wind that hits the sale and

1677
01:37:00,640 --> 01:37:04,759
Speaker 1: slows down dramatically the speed of the ship. Side note,

1678
01:37:05,439 --> 01:37:08,600
Speaker 1: but tall black Marcus that's yelled out Marcus, who is

1679
01:37:08,640 --> 01:37:12,320
Speaker 1: tall and black, at first is annoyed by this and

1680
01:37:12,320 --> 01:37:16,160
Speaker 1: then realizes that it's just a just a coincidence, has

1681
01:37:16,200 --> 01:37:19,280
Speaker 1: nothing to do with anything. It's certainly not racist. Okay.

1682
01:37:19,360 --> 01:37:22,360
Speaker 1: I read that one. I thought, you know, that's actually amusing,

1683
01:37:22,400 --> 01:37:25,479
Speaker 1: and the guy seemed to have a did have a

1684
01:37:25,479 --> 01:37:29,799
Speaker 1: sense of humor about it, and so, you know, no,

1685
01:37:29,800 --> 01:37:33,160
Speaker 1: no problem. And I'm figuring that maybe in this New

1686
01:37:33,240 --> 01:37:36,559
Speaker 1: York Times piece. There might actually be more things like

1687
01:37:36,600 --> 01:37:40,599
Speaker 1: this that are really gentle humor, if you will, trying

1688
01:37:40,600 --> 01:37:43,360
Speaker 1: to poke fun at how people can have these kinds

1689
01:37:43,360 --> 01:37:46,040
Speaker 1: of interactions day to day and not necessarily think of

1690
01:37:46,080 --> 01:37:50,560
Speaker 1: them as anything other than just, of course, a circumstance

1691
01:37:50,640 --> 01:37:53,120
Speaker 1: that can be construed as racist, but certainly is not

1692
01:37:53,200 --> 01:37:57,160
Speaker 1: once you think about it. But then they have a

1693
01:37:57,600 --> 01:38:00,360
Speaker 1: writer who I can read you that most of the

1694
01:38:00,479 --> 01:38:02,080
Speaker 1: s I won't read it all, he writes the following

1695
01:38:02,479 --> 01:38:04,640
Speaker 1: in New York. So much of my life consists of

1696
01:38:04,680 --> 01:38:08,360
Speaker 1: walking in and through crowds. I am, I think a

1697
01:38:08,439 --> 01:38:11,720
Speaker 1: good walker. I don't dawdle, and even when walking at

1698
01:38:11,800 --> 01:38:16,360
Speaker 1: high speeds, I'm courteous, always willing to sway to one side,

1699
01:38:16,840 --> 01:38:20,519
Speaker 1: change speed in traffic, or even take wide berths around

1700
01:38:20,640 --> 01:38:27,840
Speaker 1: large lost childhooding, or otherwise compromise gaggles of pedestrians. Um.

1701
01:38:28,400 --> 01:38:30,280
Speaker 1: There are many times in a day when a person

1702
01:38:30,360 --> 01:38:33,519
Speaker 1: is walking towards me and in my path. Almost always

1703
01:38:33,560 --> 01:38:37,920
Speaker 1: we shift our body weighter otherwise detour. Walking courteously doesn't

1704
01:38:37,960 --> 01:38:41,280
Speaker 1: take much. In seven years of living and walking here,

1705
01:38:41,640 --> 01:38:45,320
Speaker 1: I've found that most people walk courteously, but that white

1706
01:38:45,320 --> 01:38:49,040
Speaker 1: women at least when I'm in their path, do not.

1707
01:38:50,160 --> 01:38:53,439
Speaker 1: Sometimes they're buried in their phones. Other times they're in

1708
01:38:53,479 --> 01:38:57,479
Speaker 1: pairs and groups and in conversation. But often they're looking

1709
01:38:57,520 --> 01:39:01,960
Speaker 1: ahead through me, if not white at me. When white

1710
01:39:01,960 --> 01:39:05,599
Speaker 1: women are in my path, they almost always continue straight,

1711
01:39:05,880 --> 01:39:09,280
Speaker 1: forcing me to one side without changing their course. This

1712
01:39:09,400 --> 01:39:12,519
Speaker 1: happens several times a day and a couple of times

1713
01:39:12,560 --> 01:39:16,560
Speaker 1: a week. White women forced me off the sidewalk completely.

1714
01:39:17,200 --> 01:39:20,240
Speaker 1: In these instances, when I'm standing in the street or

1715
01:39:20,280 --> 01:39:23,120
Speaker 1: in the dirt, as a white woman strides past, broad

1716
01:39:23,160 --> 01:39:32,840
Speaker 1: shouldered and blissful, I turn furious and quote, this is bizarre. Um. Look,

1717
01:39:32,880 --> 01:39:35,920
Speaker 1: I've lived in New York City my whole life, and

1718
01:39:36,040 --> 01:39:39,760
Speaker 1: this phenomenon that he is discussing here of white women

1719
01:39:39,840 --> 01:39:41,600
Speaker 1: not getting out of the way, I mean, look, I

1720
01:39:41,920 --> 01:39:45,599
Speaker 1: can't speak to his personal experience, but first of all,

1721
01:39:46,479 --> 01:39:51,400
Speaker 1: New York sidewalks are incredibly congested. People are constantly angling

1722
01:39:51,520 --> 01:39:54,439
Speaker 1: and and moving and hustling and bustling to get around

1723
01:39:54,479 --> 01:39:58,240
Speaker 1: each other. But this just makes no sense at all.

1724
01:39:58,920 --> 01:40:02,240
Speaker 1: Why would white women force him off the street, specifically

1725
01:40:02,240 --> 01:40:05,320
Speaker 1: white women. This guy strikes me as someone who just

1726
01:40:05,400 --> 01:40:08,840
Speaker 1: has gotten this in his head for whatever reason, and

1727
01:40:08,960 --> 01:40:13,160
Speaker 1: now has a a strange fixation and and is seeing

1728
01:40:13,240 --> 01:40:15,400
Speaker 1: something that is not there. And this is one of

1729
01:40:15,439 --> 01:40:19,880
Speaker 1: the big discussions that often opens up when we begin

1730
01:40:20,000 --> 01:40:23,479
Speaker 1: to look beyond the surface of just the most uh

1731
01:40:23,600 --> 01:40:27,640
Speaker 1: sweeping accusations of racism. Is it really racism or is

1732
01:40:27,720 --> 01:40:32,360
Speaker 1: it a perception issue for the individual making the claim

1733
01:40:32,520 --> 01:40:36,479
Speaker 1: of racism, as in, does somebody assume that there is

1734
01:40:36,520 --> 01:40:41,160
Speaker 1: a racist intent when they see a cab go past

1735
01:40:41,200 --> 01:40:45,040
Speaker 1: them in New York City? Or is the reality and

1736
01:40:45,280 --> 01:40:48,320
Speaker 1: is the reality in fact that the taxi was trying

1737
01:40:48,360 --> 01:40:50,479
Speaker 1: to make it back to the dispatch center because if

1738
01:40:50,479 --> 01:40:52,880
Speaker 1: they don't, they could find a hundred dollars for the

1739
01:40:52,920 --> 01:40:56,599
Speaker 1: first hour. So that's often the case in New York City,

1740
01:40:56,640 --> 01:40:59,800
Speaker 1: is that people have talked about cab drivers in New

1741
01:40:59,840 --> 01:41:02,760
Speaker 1: York work as being racist, and they're these studies about

1742
01:41:02,760 --> 01:41:05,759
Speaker 1: how cabs won't pick up black men. I've actually looked

1743
01:41:05,800 --> 01:41:09,080
Speaker 1: into this. Read uh the I believe it or not

1744
01:41:09,120 --> 01:41:11,800
Speaker 1: this is true? Read these statistics in literature from the

1745
01:41:11,840 --> 01:41:15,080
Speaker 1: Taxi and Limousine Commission of New York City. And first

1746
01:41:15,120 --> 01:41:18,559
Speaker 1: of all, before you even get into the circumstances that

1747
01:41:18,600 --> 01:41:22,840
Speaker 1: involved cab drivers who are allegedly not picking up black

1748
01:41:22,880 --> 01:41:26,960
Speaker 1: men because of racism. You have to look at the

1749
01:41:27,040 --> 01:41:30,879
Speaker 1: makeup of the New York City cab fleet, the drivers

1750
01:41:30,920 --> 01:41:36,479
Speaker 1: of the cab fleet, and they are overwhelmingly UH non

1751
01:41:37,160 --> 01:41:41,759
Speaker 1: UH non white. They are actually predominantly from the countries

1752
01:41:41,800 --> 01:41:46,760
Speaker 1: of India, Bangladesh, and Pakistan. So South Asia is very

1753
01:41:46,840 --> 01:41:50,320
Speaker 1: disproportionately represented in the ranks of New York City cab drivers. Look,

1754
01:41:50,360 --> 01:41:52,519
Speaker 1: when I was in d C, there were a lot

1755
01:41:52,600 --> 01:41:56,360
Speaker 1: of Somali and Ethiopian cab drivers. So depending on what

1756
01:41:56,479 --> 01:41:59,719
Speaker 1: city you're in, there are some groups that for whatever reason,

1757
01:42:00,280 --> 01:42:04,799
Speaker 1: are disproportionately represented in the ranks of the cab drivers.

1758
01:42:04,840 --> 01:42:08,320
Speaker 1: Which cab drivers are an honorable profession providing a needed service,

1759
01:42:08,360 --> 01:42:11,760
Speaker 1: and that's all well and good. But it's interesting that

1760
01:42:11,800 --> 01:42:14,599
Speaker 1: whenever people talk about racism of New York City cab drivers,

1761
01:42:14,640 --> 01:42:18,680
Speaker 1: it's always assigned to white people, as in, there there

1762
01:42:18,760 --> 01:42:23,000
Speaker 1: must be white drivers that won't pick up uh, particularly

1763
01:42:23,040 --> 01:42:25,599
Speaker 1: young black men in New York City, when you're actually

1764
01:42:25,680 --> 01:42:28,920
Speaker 1: talking about people from immigrants from by the way, that

1765
01:42:28,920 --> 01:42:31,200
Speaker 1: was an important part of this. They are I believe

1766
01:42:31,240 --> 01:42:34,479
Speaker 1: over seventy of them are recent immigrants, so they are

1767
01:42:34,840 --> 01:42:39,480
Speaker 1: immigrants from South Asia who are driving a large percentage

1768
01:42:39,560 --> 01:42:41,880
Speaker 1: over half I think of the cabs in the city,

1769
01:42:42,040 --> 01:42:44,920
Speaker 1: and yet it is always talked about as though this

1770
01:42:45,040 --> 01:42:48,400
Speaker 1: is an issue of white racism in the city by

1771
01:42:48,400 --> 01:42:50,240
Speaker 1: people who just don't know anything. And then when you

1772
01:42:50,280 --> 01:42:54,800
Speaker 1: add into it the procedural issues and circumstances of New

1773
01:42:54,880 --> 01:42:58,280
Speaker 1: York City cabs, very few people realize that the cabs

1774
01:42:58,280 --> 01:43:00,840
Speaker 1: are actually rented. And know, I'm not trying to bore

1775
01:43:00,840 --> 01:43:02,120
Speaker 1: you for those of you aren't from New York, but

1776
01:43:02,200 --> 01:43:04,760
Speaker 1: calves are actually rented by the driver for the day,

1777
01:43:04,800 --> 01:43:06,679
Speaker 1: and if they don't get it back at a certain time,

1778
01:43:06,960 --> 01:43:09,240
Speaker 1: they have to pay a fine. So there's a tremendous

1779
01:43:09,320 --> 01:43:12,880
Speaker 1: rush and stupidly, because of the scheduling of the city here,

1780
01:43:13,200 --> 01:43:16,799
Speaker 1: it's often right before rush hour that you have this problem,

1781
01:43:16,800 --> 01:43:19,400
Speaker 1: and so calves won't pick people up. And it's just

1782
01:43:19,439 --> 01:43:23,880
Speaker 1: a question of the specific circumstance. Uh. And whenever they've

1783
01:43:23,920 --> 01:43:28,439
Speaker 1: done undercover, they've actually done undercover work on this issue. Uh,

1784
01:43:28,439 --> 01:43:32,719
Speaker 1: it's never as as clear as people initially reported. UM.

1785
01:43:32,800 --> 01:43:35,559
Speaker 1: And when they say that it's racist and racism. But

1786
01:43:35,600 --> 01:43:37,320
Speaker 1: this guy writing for the New York Times back to

1787
01:43:37,360 --> 01:43:41,719
Speaker 1: this piece, UH, stating that he thinks white women won't

1788
01:43:41,720 --> 01:43:43,240
Speaker 1: get out of the way for him on the sidewalk.

1789
01:43:43,240 --> 01:43:45,879
Speaker 1: I've just never heard anything like this. It just strikes

1790
01:43:45,920 --> 01:43:51,160
Speaker 1: me as as entirely implausible and quite strange. And it's

1791
01:43:51,200 --> 01:43:54,160
Speaker 1: interesting because he at the bottom of his piece, who

1792
01:43:54,240 --> 01:43:57,080
Speaker 1: is a writer for the Sundry Metropolitan section of the

1793
01:43:57,080 --> 01:44:00,240
Speaker 1: New York Times, he puts the following down there. There

1794
01:44:00,240 --> 01:44:01,920
Speaker 1: have always been white women in my life, and I've

1795
01:44:01,920 --> 01:44:04,960
Speaker 1: counted them as friends and sisters, mothers and lovers. Whenever

1796
01:44:05,000 --> 01:44:07,559
Speaker 1: I ask white women I know why they don't reroot

1797
01:44:07,640 --> 01:44:12,320
Speaker 1: for black men, they invariably express ignorance. Whenever that happens.

1798
01:44:12,360 --> 01:44:15,720
Speaker 1: Another question always arises, weight am I crazy? But then

1799
01:44:15,760 --> 01:44:20,679
Speaker 1: I ask black men, invariably they know what I'm talking about. Well,

1800
01:44:20,800 --> 01:44:24,320
Speaker 1: I've never heard this from anybody. Um, so I don't

1801
01:44:24,320 --> 01:44:27,040
Speaker 1: know what this guy is talking about at all. But

1802
01:44:28,240 --> 01:44:29,760
Speaker 1: moving on to the bottom of the piece here. A

1803
01:44:29,760 --> 01:44:31,599
Speaker 1: couple of weeks ago, I asked an Asian friend if

1804
01:44:31,600 --> 01:44:33,840
Speaker 1: you had the same experience of white women not getting

1805
01:44:33,840 --> 01:44:36,920
Speaker 1: out of his way. He said no, For whatever reason,

1806
01:44:37,000 --> 01:44:39,519
Speaker 1: white women see him just fine. The people he don't,

1807
01:44:39,600 --> 01:44:44,920
Speaker 1: he said, are white men. So do we really think

1808
01:44:45,000 --> 01:44:51,760
Speaker 1: that there's some strange street uh procedural street procedure issue here,

1809
01:44:51,840 --> 01:44:56,519
Speaker 1: street manners that are racial specific, that white men won't

1810
01:44:56,520 --> 01:44:58,519
Speaker 1: get out the way for Asian men and that white

1811
01:44:58,560 --> 01:45:00,000
Speaker 1: women won't get out of the way for black men.

1812
01:45:00,360 --> 01:45:03,160
Speaker 1: Or do we think that this writer sees something that

1813
01:45:03,320 --> 01:45:06,040
Speaker 1: is not there. Do we think that the writer is,

1814
01:45:06,080 --> 01:45:11,040
Speaker 1: in fact, uh perceiving something based upon his own experience

1815
01:45:11,040 --> 01:45:15,800
Speaker 1: for whatever reason, that is not rooted in reality, but

1816
01:45:16,160 --> 01:45:19,240
Speaker 1: is in fact just a function of of his perception

1817
01:45:19,360 --> 01:45:23,000
Speaker 1: for whatever reason, that his perception is driven in this direction,

1818
01:45:23,040 --> 01:45:27,040
Speaker 1: and that he thinks that he's being mistreated by white

1819
01:45:27,360 --> 01:45:29,719
Speaker 1: women on the street, or that he's not being given

1820
01:45:29,720 --> 01:45:32,200
Speaker 1: the duke courtesy. Look, everyone should be curtius courteous to

1821
01:45:32,200 --> 01:45:34,559
Speaker 1: everyone else on the street. Always in New York, it's

1822
01:45:34,600 --> 01:45:36,599
Speaker 1: not really the case. I've caught many an elbow here.

1823
01:45:36,760 --> 01:45:38,599
Speaker 1: I got hitt in ahead by a pigeon not too

1824
01:45:38,640 --> 01:45:42,720
Speaker 1: long ago. True story. I've had people throw things at me.

1825
01:45:43,000 --> 01:45:45,840
Speaker 1: I had somebody try to try to just like take

1826
01:45:45,840 --> 01:45:47,840
Speaker 1: a squat at me once for no reason. You know,

1827
01:45:48,000 --> 01:45:49,800
Speaker 1: the streets can be a crazy place in New York.

1828
01:45:49,840 --> 01:45:52,960
Speaker 1: But I don't think there's some racism problem here. That

1829
01:45:53,000 --> 01:45:55,160
Speaker 1: The New York Times is trying to address. I just

1830
01:45:55,320 --> 01:45:58,719
Speaker 1: I don't see it. We'll be back with National Junk

1831
01:45:58,720 --> 01:46:04,320
Speaker 1: Food Day talk. Just a second team, stay with alright, team,

1832
01:46:04,360 --> 01:46:07,200
Speaker 1: Before I send you off for your weekend, I did

1833
01:46:07,240 --> 01:46:09,600
Speaker 1: want to take note of the fact that today is

1834
01:46:10,200 --> 01:46:14,400
Speaker 1: National Junk Food Day, and I'm sure you all have

1835
01:46:14,560 --> 01:46:18,599
Speaker 1: your favorites. I because I'm a Celiac. It actually means

1836
01:46:18,640 --> 01:46:21,240
Speaker 1: that there's not a whole lot of junk food that

1837
01:46:21,360 --> 01:46:24,360
Speaker 1: I can eat because a lot of it has a

1838
01:46:24,400 --> 01:46:28,360
Speaker 1: flower in it. Obviously, flowers are very cheap, abundant and

1839
01:46:28,560 --> 01:46:32,120
Speaker 1: shelf stable ingredients, so you tend to get things like

1840
01:46:32,479 --> 01:46:38,720
Speaker 1: ho hoes and twinkies and and very glutinous treats are

1841
01:46:38,800 --> 01:46:41,439
Speaker 1: usually what are offered up and the junk food aisle,

1842
01:46:41,880 --> 01:46:45,000
Speaker 1: or things that are fried and breaded. So I can't

1843
01:46:45,040 --> 01:46:47,840
Speaker 1: actually eat that much junk food, although growing up, I

1844
01:46:47,880 --> 01:46:50,240
Speaker 1: have to tell you I had a few. I had

1845
01:46:50,280 --> 01:46:54,479
Speaker 1: a few weaknesses. One was for Blondie's, which I guess

1846
01:46:54,520 --> 01:46:56,439
Speaker 1: isn't really a junk food, but I used to eat

1847
01:46:56,479 --> 01:47:00,519
Speaker 1: these package blondies and I would drink nestly quick with them,

1848
01:47:00,800 --> 01:47:02,719
Speaker 1: which when you add it all together, it was probably

1849
01:47:02,720 --> 01:47:05,439
Speaker 1: about eighty grams of sugar or something. Insaying like that,

1850
01:47:06,600 --> 01:47:08,639
Speaker 1: I was a big chocolate milk drinker, which I still

1851
01:47:08,640 --> 01:47:11,920
Speaker 1: think chocolate milk is okay sometimes, but I would drink

1852
01:47:12,000 --> 01:47:16,559
Speaker 1: chocolate milk with pretty much anything else, including Cheetos. That's right.

1853
01:47:16,800 --> 01:47:19,439
Speaker 1: I went through a Cheeto's phase where as a as

1854
01:47:19,439 --> 01:47:21,720
Speaker 1: a kid in grammar school, I thought the Cheetos were

1855
01:47:21,760 --> 01:47:26,000
Speaker 1: absolutely delicious. So today as National Junk Food Day, as

1856
01:47:26,040 --> 01:47:29,000
Speaker 1: I was saying, and I found this list of the

1857
01:47:29,320 --> 01:47:32,920
Speaker 1: what they what they call the worst, uh, the worst

1858
01:47:33,000 --> 01:47:36,920
Speaker 1: foods for you in America on this blog uh, And

1859
01:47:36,960 --> 01:47:39,720
Speaker 1: they start with the overall worst meal that you can

1860
01:47:39,800 --> 01:47:44,040
Speaker 1: easily get somewhere, and it's the Carl Jr. Worst, by

1861
01:47:44,080 --> 01:47:46,280
Speaker 1: the way, could also mean the best if you're looking

1862
01:47:46,320 --> 01:47:50,040
Speaker 1: for an issue of taste here. But the Carl Jr.

1863
01:47:50,880 --> 01:47:55,760
Speaker 1: Uh six dollar guacamole bacon burger with medium natural cut

1864
01:47:55,760 --> 01:47:58,840
Speaker 1: fries and a thirty two ounces coke is over eighteen

1865
01:47:58,960 --> 01:48:02,920
Speaker 1: hundred calories with a nine grams of fat. Now, I'm

1866
01:48:02,920 --> 01:48:06,000
Speaker 1: sure it's absolutely delicious, but it doesn't sound like it's

1867
01:48:06,040 --> 01:48:08,519
Speaker 1: anything that's all that healthy for you. They have on

1868
01:48:08,600 --> 01:48:11,679
Speaker 1: this list of junk food again, it's the worst best

1869
01:48:11,760 --> 01:48:15,840
Speaker 1: list because worst for you may mean it taste the best.

1870
01:48:16,000 --> 01:48:19,160
Speaker 1: Like I'm pretty sure I can't eat cheatos anymore, but

1871
01:48:19,200 --> 01:48:21,720
Speaker 1: if I did, and I washed it all down with

1872
01:48:21,840 --> 01:48:24,920
Speaker 1: Nestley Quick and maybe dunk some oreos and some milk

1873
01:48:25,040 --> 01:48:28,040
Speaker 1: and ate those two, it would all taste delicious, So

1874
01:48:28,120 --> 01:48:32,479
Speaker 1: maybe it's the best. But Baskin Robbins Large Chocolate Oreo Shake,

1875
01:48:32,760 --> 01:48:35,519
Speaker 1: which I see on this list, this is just a shake.

1876
01:48:35,720 --> 01:48:40,040
Speaker 1: The shake comes in at hundred calories, so I mean

1877
01:48:40,120 --> 01:48:45,280
Speaker 1: that's pretty fantastic if you're looking for high high energy consumption,

1878
01:48:45,400 --> 01:48:47,280
Speaker 1: which is another way of looking at it. And a

1879
01:48:47,360 --> 01:48:50,839
Speaker 1: hundred and thirty five grams of fat in the Baskin

1880
01:48:50,960 --> 01:48:54,880
Speaker 1: Robbins shake. Out Back Steakhouse baby back ribs on this

1881
01:48:54,920 --> 01:48:57,960
Speaker 1: list for remember doing National Junk Food Day. I'm not

1882
01:48:58,000 --> 01:49:00,880
Speaker 1: sure baby back ribs can be considered a junk food really,

1883
01:49:01,160 --> 01:49:04,200
Speaker 1: I mean, what is technically? I guess anything that's really

1884
01:49:04,280 --> 01:49:08,479
Speaker 1: high in calories and fat and not h particularly healthy

1885
01:49:08,560 --> 01:49:11,479
Speaker 1: can be considered junk food. But I think ribs and

1886
01:49:11,479 --> 01:49:15,559
Speaker 1: and different different meat products uh shouldn't be considered junk

1887
01:49:15,600 --> 01:49:18,960
Speaker 1: food really. But Outback Steakhouse baby back ribs come in

1888
01:49:19,160 --> 01:49:22,400
Speaker 1: at almost twenty hundred calories just for the ribs, which

1889
01:49:22,439 --> 01:49:26,680
Speaker 1: is pretty pretty substantial, I have to say. They also

1890
01:49:27,080 --> 01:49:30,960
Speaker 1: go into the p F chang Lomain combo for the

1891
01:49:31,000 --> 01:49:33,559
Speaker 1: worst Chinese dish for you on the junk food side,

1892
01:49:33,720 --> 01:49:36,479
Speaker 1: almost two thousand calories. But you know what I always

1893
01:49:36,520 --> 01:49:38,880
Speaker 1: say to people about this, and not that I'm some

1894
01:49:38,920 --> 01:49:41,200
Speaker 1: food expert at all, You know, you just gotta pick

1895
01:49:41,240 --> 01:49:43,639
Speaker 1: your battles. I mean, sometimes you've had a long day

1896
01:49:44,200 --> 01:49:48,080
Speaker 1: and you want to just have that PF chang Lomain combo.

1897
01:49:48,360 --> 01:49:52,280
Speaker 1: Or for me, it's more the real indulgence. Well, first

1898
01:49:52,320 --> 01:49:54,479
Speaker 1: of all, I eat dark chocolate and drink whole milk

1899
01:49:54,920 --> 01:49:57,280
Speaker 1: all the time, which I probably shouldn't do as much

1900
01:49:57,280 --> 01:49:59,639
Speaker 1: as I do, but that's my I just allow myself

1901
01:49:59,680 --> 01:50:01,960
Speaker 1: to do. At So I drink whole milk, which is

1902
01:50:02,080 --> 01:50:03,800
Speaker 1: high in calories and fat, and I drink and I

1903
01:50:03,880 --> 01:50:06,559
Speaker 1: eat a lot of dark chocolate, which people say is

1904
01:50:06,560 --> 01:50:08,240
Speaker 1: good for you, but you know it's probably good for

1905
01:50:08,280 --> 01:50:10,240
Speaker 1: you in like a square a day, and I probably

1906
01:50:10,360 --> 01:50:12,640
Speaker 1: like a third of a bar a day. But you know,

1907
01:50:12,760 --> 01:50:16,000
Speaker 1: some days you want a bacon cheeseburger. Some days you

1908
01:50:16,000 --> 01:50:18,639
Speaker 1: want to just go wild and get some truffle fries,

1909
01:50:18,720 --> 01:50:20,519
Speaker 1: for example, and you just got to own it and

1910
01:50:20,560 --> 01:50:22,920
Speaker 1: do it and and lean into it if you will. So,

1911
01:50:22,960 --> 01:50:25,640
Speaker 1: in a sense, National Junk Food Days is really just

1912
01:50:25,680 --> 01:50:28,920
Speaker 1: a celebration of eating whatever the heck you want and

1913
01:50:29,000 --> 01:50:31,080
Speaker 1: not worrying about the fact that there are always going

1914
01:50:31,120 --> 01:50:33,400
Speaker 1: to be people who tell you that you should be

1915
01:50:33,439 --> 01:50:36,519
Speaker 1: eating something other than what you feel like they are

1916
01:50:36,560 --> 01:50:39,120
Speaker 1: gonna people tell you that you have a social justice

1917
01:50:39,160 --> 01:50:43,519
Speaker 1: responsibility to eat different foods than what you want. That

1918
01:50:43,600 --> 01:50:47,680
Speaker 1: you shouldn't eat meat, for example, because of meats carbon footprint,

1919
01:50:48,120 --> 01:50:54,759
Speaker 1: because cows and various forms of large scale farming and

1920
01:50:55,320 --> 01:50:58,680
Speaker 1: well meat processing and all all that goes into that

1921
01:50:59,280 --> 01:51:02,599
Speaker 1: are just damaging the environment. They say, so you're supposed

1922
01:51:02,600 --> 01:51:05,519
Speaker 1: to stop eating meat. Well, that's just never gonna happen.

1923
01:51:05,600 --> 01:51:07,360
Speaker 1: I'm trying to think of what the real like if

1924
01:51:07,439 --> 01:51:10,360
Speaker 1: I was trying, if I was going to eat the unhealthiest.

1925
01:51:10,439 --> 01:51:12,680
Speaker 1: I mean, I can do a lot of damage in

1926
01:51:12,720 --> 01:51:14,840
Speaker 1: an out burger. I'm an in an out burger fan,

1927
01:51:15,439 --> 01:51:18,080
Speaker 1: and I think that I could probably put away a

1928
01:51:18,120 --> 01:51:21,200
Speaker 1: couple of in and out burgers uh covered with the

1929
01:51:21,280 --> 01:51:24,840
Speaker 1: double double animal style, which is with the onions and

1930
01:51:25,040 --> 01:51:27,760
Speaker 1: the sauce and everything, and also the the fries in

1931
01:51:27,800 --> 01:51:29,600
Speaker 1: and out have always been a little disappointing to me.

1932
01:51:29,600 --> 01:51:31,559
Speaker 1: I have to be honest with you, and French fries

1933
01:51:31,600 --> 01:51:34,040
Speaker 1: should be absolutely delicious. That is one of my weaknesses,

1934
01:51:34,080 --> 01:51:37,160
Speaker 1: by the way, on the junk food my top two

1935
01:51:37,280 --> 01:51:40,320
Speaker 1: are French fries and chocolate. So since we're since it's

1936
01:51:40,400 --> 01:51:42,360
Speaker 1: National Junk Food Day, I feel like I should just

1937
01:51:42,479 --> 01:51:46,000
Speaker 1: own own the reality of what I like to eat

1938
01:51:46,080 --> 01:51:49,160
Speaker 1: that's not good for me, and French fries are very

1939
01:51:49,200 --> 01:51:50,599
Speaker 1: high on the list. I eat them all the time.

1940
01:51:51,000 --> 01:51:53,559
Speaker 1: So you can let me know what your junk food

1941
01:51:54,200 --> 01:51:56,679
Speaker 1: of choices if you want, you can go to Facebook

1942
01:51:56,720 --> 01:52:00,000
Speaker 1: dot com slash buck Sexton. You can either post there

1943
01:52:00,080 --> 01:52:01,559
Speaker 1: have a little post up so you can all tell

1944
01:52:01,600 --> 01:52:04,960
Speaker 1: me what what your real indulgence is, or you can

1945
01:52:04,960 --> 01:52:07,200
Speaker 1: send a message if you're if you're ashamed of your

1946
01:52:07,200 --> 01:52:11,040
Speaker 1: twinkies or your ho hoes, or I'm trying to think

1947
01:52:11,040 --> 01:52:13,919
Speaker 1: of what other Some people I know are just secretly

1948
01:52:13,920 --> 01:52:18,760
Speaker 1: addicted to Girl Scout cookies. Other people are just complete,

1949
01:52:19,360 --> 01:52:22,640
Speaker 1: uh completely go nuts for from trying to remember the

1950
01:52:22,920 --> 01:52:25,240
Speaker 1: name of it now, and I actually can't even remember pringles.

1951
01:52:25,280 --> 01:52:27,920
Speaker 1: There you go. Those potato chips come in the tube.

1952
01:52:27,920 --> 01:52:29,920
Speaker 1: You can eat the whole thing of them anyway. You

1953
01:52:30,000 --> 01:52:32,439
Speaker 1: let me know what. Facebook dot com, slash buck Sexton. Also,

1954
01:52:32,520 --> 01:52:35,120
Speaker 1: by the way, please do go to buck Sexton dot

1955
01:52:35,160 --> 01:52:39,320
Speaker 1: com slash store. We have gear up there for your

1956
01:52:39,400 --> 01:52:43,439
Speaker 1: perusal and purchase hats, t shirts, all kinds of of

1957
01:52:43,920 --> 01:52:46,800
Speaker 1: great stuff for you to check out as they come in.

1958
01:52:46,840 --> 01:52:48,800
Speaker 1: By the way, we would really love it if you

1959
01:52:48,800 --> 01:52:51,640
Speaker 1: wouldn't mind those of you who are so inclined, you know,

1960
01:52:51,640 --> 01:52:54,680
Speaker 1: tweet out or post on Facebook a photo of you

1961
01:52:54,800 --> 01:52:57,320
Speaker 1: with the gear, or at least you can just send

1962
01:52:57,400 --> 01:53:00,120
Speaker 1: the gear without you necessarily modeling it. But it's just

1963
01:53:00,240 --> 01:53:03,559
Speaker 1: fun for us to see people across the country wearing

1964
01:53:03,880 --> 01:53:06,960
Speaker 1: either shields high or well actually we're working on that design.

1965
01:53:07,320 --> 01:53:10,599
Speaker 1: But team buck we've got freedom Hut stuff, a Freedom

1966
01:53:10,680 --> 01:53:13,760
Speaker 1: Hunt T shirt for example. I would love it if

1967
01:53:13,800 --> 01:53:16,080
Speaker 1: you would would be willing to share that on your

1968
01:53:16,080 --> 01:53:19,400
Speaker 1: social media profile. It's a great way to spread the

1969
01:53:19,479 --> 01:53:23,639
Speaker 1: word visually about the show and we continue to grow

1970
01:53:23,640 --> 01:53:25,800
Speaker 1: because of all you. To that end, please do also

1971
01:53:25,960 --> 01:53:30,439
Speaker 1: go on iTunes type in buck Sexton with America Now

1972
01:53:30,560 --> 01:53:35,080
Speaker 1: click subscribe and definitely subscribe even if you're alive listener

1973
01:53:35,120 --> 01:53:37,919
Speaker 1: to the show. If you have iTunes, please do subscribe.

1974
01:53:37,960 --> 01:53:40,400
Speaker 1: The I Heart app allows you to listen anywhere across

1975
01:53:40,439 --> 01:53:43,519
Speaker 1: the country. All you need is cell phone or internet connection.

1976
01:53:44,240 --> 01:53:45,800
Speaker 1: So thank you as always for hanging out with me

1977
01:53:45,840 --> 01:53:47,680
Speaker 1: here team. Hope you have a great weekend. I'm a

1978
01:53:47,680 --> 01:53:51,320
Speaker 1: heading up state to go hang out with cows and

1979
01:53:51,360 --> 01:53:54,439
Speaker 1: horses and donkeys and such and my family, so that's

1980
01:53:54,479 --> 01:53:56,400
Speaker 1: gonna be a lot of fun. Excited to hang out

1981
01:53:56,439 --> 01:54:01,200
Speaker 1: with you all on Monday, same time, same place as always.

1982
01:54:01,200 --> 01:54:01,880
Speaker 1: Shields her