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Speaker 1: Movie needs to keep his promises. You don't know what's

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Speaker 1: true anymore. It hurts me to see people burning the fire.

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Speaker 1: Eight relations. I can't have that. I just saw, like

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Speaker 1: the politics unbelievable. It's what you've been waiting for all day.

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Speaker 1: America now but Sexton with America now join the conversation

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

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

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Speaker 1: sharp mind, strong voice, Buck Sexton, what's up? Everybody? Buck?

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Speaker 1: Sex in with America now begins numbers eight four four,

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Speaker 1: nine hundred to eight to five. Great to have you here,

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Speaker 1: always an honor and a pleasure. So you had two

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Speaker 1: things happening today. You had what some of the media

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Speaker 1: was talking about, which really didn't have much to do

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Speaker 1: with anything. It wasn't news. It was manufactured news. I'm

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Speaker 1: not sure we could call it fake news, but it

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Speaker 1: was not based on important events of the day. It

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Speaker 1: was just a question of how much they could focus

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Speaker 1: our attention on it. And that has to do with

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Speaker 1: the Trump administration. Is it anti Semitic? Oh, that's the

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Speaker 1: question they want us all to answer. That's what they

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Speaker 1: are posing now. And meanwhile, the other side, you have

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Speaker 1: the mounting the growing fight over immigration, which is setting

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Speaker 1: up to be to be quite a showdown, I think,

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Speaker 1: particularly for sanctuary cities in light of some other news stories.

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Speaker 1: But let's let's first dispense with the anti Trump narrative

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Speaker 1: of the day, anti semitism. You had a a CNN panel,

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Speaker 1: and we're gonna talk a bit more about CNN later

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Speaker 1: in the hour. Just by way, background, Yeah, most people

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Speaker 1: know of me as being former c I A, but

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Speaker 1: I was at CNN as a right wing commentator. They

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Speaker 1: always made sure that that was how it was introduced

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Speaker 1: to Whenever talked about politics or conservative political commentator, they

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Speaker 1: bring on conservative political commentator Buck sex In and then

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Speaker 1: political analyst Van Jones. You know, why why am I?

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Speaker 1: Why do I get labeled something? And he just gets

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Speaker 1: to be oh, it's good, you know we Buck secretly

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Speaker 1: we hate you. Okay, good, I'm glad we've established that.

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Speaker 1: But there's the CNN. CNN panels always worth popping in

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Speaker 1: and checking those out once in a while, just you know,

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Speaker 1: throw it on the TV screen. Some of you are

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Speaker 1: are saying to yourselves, no way, but it's fun to

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Speaker 1: turn it on and see what the left thinks the

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Speaker 1: country wants to see, or at least that the Democrats

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Speaker 1: that are watching want to see, and so you have

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Speaker 1: these discussions of anti semitism going on. Here is one

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Speaker 1: of those clashes. Play the CNN panel clip. Please, Harlon,

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Speaker 1: I want to ask you about this because I know

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Speaker 1: that you're you're hearing some of the criticism of Donald Trump,

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Speaker 1: and I imagine people who support him like you may say, Okay,

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Speaker 1: he gets criticized for not saying this, and then he's

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Speaker 1: criticized for not saying it's soon enough. But I'm going

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Speaker 1: to ask that question because sixty seven bomb scares since

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Speaker 1: the beginning of January. Uh, A Jewish cemetery desecrated yesterday.

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Speaker 1: Why do you think that President Trump spoke out now

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Speaker 1: and why do you think it did take him so

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Speaker 1: long to do so? Okay, hold On, Well, I don't

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Speaker 1: even Harlan is a good guy like Harlan, But I'm

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Speaker 1: gonna answer for Harland here. First of all, it's been

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Speaker 1: a day or two at this point when that clip

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Speaker 1: came out, when Trump hadn't yet said anything on the

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Speaker 1: issue that was at least satisfying to the to the

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Speaker 1: Democrats and the criticism here, but they go even further

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Speaker 1: and they want to know why Trump won't speak out

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Speaker 1: against against anti Semitism, and then it turns very quickly

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Speaker 1: into well, he must be anti Semitic. They have people

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Speaker 1: who are going on TV and saying that Trump is

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Speaker 1: an anti semi Do you have Anna Navarro whom I

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Speaker 1: don't like to be mean. I don't know why anyone

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Speaker 1: listens to this woman for any reason ever, under any circumstances.

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Speaker 1: I've never heard her say anything that was worthwhile or

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Speaker 1: interesting in my entire life, including when I was working

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Speaker 1: at CNN, and she's not very nice. So he put

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Speaker 1: all that together and I don't get it. Someone else

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Speaker 1: can explain that one to me. You can listen to

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Speaker 1: yourself on TV. I've never heard some this is. This

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Speaker 1: is somebody who went on the Bill mar Show and

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Speaker 1: I was talking about how unlike the unlike George Bush,

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Speaker 1: Donald Trump was a was a trust fund baby who

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Speaker 1: got everywhere because of his last name, and everyone's jaws

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Speaker 1: sort of hit the ground. Really okay? Interesting? You don't

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Speaker 1: think that Bush had an important advantage with his last

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Speaker 1: name George W. Bush? Really okay? Interesting point there. Top

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Speaker 1: flight political analysts Okay, she was on and she says

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Speaker 1: explicitly that Trump is well connected to this anti semitism.

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Speaker 1: Please play it. I also think his attacks on the

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Speaker 1: media are feeding into these anti Semitic feelings. He appealed

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Speaker 1: to some of those people in his base, and he

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Speaker 1: doesn't want to mess with that. He doesn't want to

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Speaker 1: mess with that support from the anti Semites that did

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Speaker 1: support him. He wants to keep that support when he

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Speaker 1: is talking against the media. When we all remember during

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Speaker 1: his rallies people shouting jew s A, drew s A

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Speaker 1: and you know, looking at the media, and you know,

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Speaker 1: I think one thing has to do with the other.

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Speaker 1: I think there is a correlation between his attacks on

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Speaker 1: the media and a lot of this anti Semitic feeling.

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Speaker 1: I don't I don't remember that from any of that

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Speaker 1: may have happened, but I don't remember that from any

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Speaker 1: of the rallies. There were a lot of rallies. Um.

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Speaker 1: But she's saying that he's an anti semi. Now she

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Speaker 1: goes on TV as a Republican strategist or something. Don't

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Speaker 1: know who she's ever strategized for. And I mean that

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Speaker 1: I don't know who. Maybe there is someone who she's

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Speaker 1: worked on a campaign for success. I have no idea, um,

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Speaker 1: but I just know that as a political commentator, she

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Speaker 1: is among among the least insightful. So in that sense,

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Speaker 1: she's unique. She's among the least insightful people I've heard

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Speaker 1: on TV talking about politics. Okay, and she's saying he's

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Speaker 1: an anti semi or or that he has ties, he

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Speaker 1: has a fondness for a soft spot for the anti

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Speaker 1: Semites that voted for him. And then you get Trump

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Speaker 1: coming out and saying that, first of all, he decries

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Speaker 1: all of this, it's terrible. You've got Vice President Pence

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Speaker 1: at a at a at the Jewish cemetery. We can

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Speaker 1: actually play we have Pence spoke about this, He condemned

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Speaker 1: this himself. Please play that audio on Monday morning, Americo.

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Speaker 1: So are the nearly two out of two songs were

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Speaker 1: cold Jewish? Yesterday Trump called it a horrible, unnameful and

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Speaker 1: so it was that, along with other recent dress community

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Speaker 1: centers around the country, play at all. Sad reminder, who

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Speaker 1: worked as soon wants to be done. Rudo, He incredulous.

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Speaker 1: He we can this mile act of vandalism and those

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Speaker 1: and perpetrated in the strongest possible terms, okay, condemned in

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Speaker 1: the strongest possible terms. This is the vice president of

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Speaker 1: the United States. I'm just wondering, do you think that

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Speaker 1: there were any news stories run about how Trump really

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Speaker 1: has thoroughly condemned this. Now we can stop, no, because

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Speaker 1: it served its purpose. They saw an opening. Something bad happened.

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Speaker 1: There were these desecrations in the cemetery, and the President

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Speaker 1: of the United States did not come out right away

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Speaker 1: to the satisfaction. I believe he said something about it,

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Speaker 1: but it wasn't to the satisfaction of the left. There

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Speaker 1: was someone else who went on TV at CNN from

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Speaker 1: Forget not that maybe I don't think it was the

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Speaker 1: Anti Defamation League. It was an organization that deals with

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Speaker 1: defamation and anti Semitism, and he was also just saying

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Speaker 1: that President Trump is an anti Semite. And you have

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Speaker 1: people pointing out, including I thought Kayleie mckinnennie, who did

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Speaker 1: a very admirable job of making this point despite the

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Speaker 1: man who was incredibly rude to her. Um that you

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Speaker 1: have the president's daughter as a convert to Judaism, one

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Speaker 1: of his daughters a convert to Judaism, his son in

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Speaker 1: law is Orthodox, a member of the Orthodoxy. He's Orthodox Jewish,

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Speaker 1: so but he's he's hateful towards he's anti semit. There

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Speaker 1: is no person who knows Donald Trump, who grew up

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Speaker 1: around him in New York City, had interactions with him,

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Speaker 1: has worked with. No person thinks that Donald Trump is

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Speaker 1: an anti semit. That's been a main news story for

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Speaker 1: the last two days, and they're giving platforms to people

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Speaker 1: who are coming out and saying that Donald Trump is

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Speaker 1: an anti Semit. I just want to know was was

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Speaker 1: CNN giving platforms to people that were saying the most

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Speaker 1: outlandish and the worst things imaginable about Barack Obama when

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Speaker 1: he came into office. I don't even think you could

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Speaker 1: have gotten on CNN in the first month or even

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Speaker 1: the first year. I don't know. Maybe ever who knows,

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Speaker 1: but certainly not in the first month of the Obama presidency,

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Speaker 1: pointing out that he piled around with Bill Aires and

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Speaker 1: that Jeremiah Wright, who was the reverend of the church

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Speaker 1: Obama tended for twenty years, said things that any normal

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Speaker 1: person would hear and say, I don't want to be

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Speaker 1: in this church. But I don't think you would have

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Speaker 1: gotten on You certainly would have been elevated and given

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Speaker 1: a chance to run around making accusations without any proof.

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Speaker 1: But see, this is how they play the game. And

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Speaker 1: that's why I wanted to start off with this. And

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Speaker 1: I know there's a part of me that says, buck,

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Speaker 1: no focus on the policy, don't get all wound up

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Speaker 1: into the attacks. But you see, this is just the latest.

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Speaker 1: You know, next week it'll be some story about sexism

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Speaker 1: and they'll tie it to Donald Trump. You know, the

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Speaker 1: day before it was the downfall of mind Milo Anopolis

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Speaker 1: and how Milo and Trump are the same person. Basically,

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Speaker 1: this was in major newspapers and publications. So called intellectual

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Speaker 1: is making this comparison. But here's what they don't want

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Speaker 1: you to think about. Now we we've dealt with this,

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Speaker 1: and I don't think anybody who's being honest believes that

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Speaker 1: Donald Trump is an anti semi. I don't even believe

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Speaker 1: the people leveling the charge think he's an anti semi.

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Speaker 1: They just know that it's good for their brand, right.

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Speaker 1: It's good because they're just doing whatever they can to

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Speaker 1: hurt Donald Trump. And even if it forces them to

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Speaker 1: be immoral, to be liars, they don't care because the

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Speaker 1: ends justify the means. If it hurts Donald Trump, it's

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Speaker 1: good in their eyes, even if it's defamatory, even if

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Speaker 1: it's based in nothing. That's what they're doing. They view

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Speaker 1: this as an information warfare situation, and so whatever they

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Speaker 1: can do is what they will do to bring down

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Speaker 1: this presidency. What they don't want you to talk about

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Speaker 1: happened in Denver recently. What they don't want you to understand,

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Speaker 1: to know, to be discussing with your families, and certainly

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Speaker 1: not to be pressuring your congressman or woman on has

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Speaker 1: to do with the immigration policies that have been addressed

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Speaker 1: on this show yesterday we talked about them, but have

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Speaker 1: been rolled out by the Department of Homeland Security that

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Speaker 1: are the very beginning of a sea change and how

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Speaker 1: immigration enforcement is done in this country. And if we're

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Speaker 1: going to take a case to illustrate why that needs

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Speaker 1: to happen, we don't have to look any farther than Denver, Colorado.

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Speaker 1: A grizzly murder, one for which you could very easily

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Speaker 1: point the finger of blame, the finger of responsibility at

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Speaker 1: the authority already's in Denver. I'll give you the details

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Speaker 1: of this on the other side of the break We'll

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Speaker 1: be right back. Welcome back, team Buck. So Denver is

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Speaker 1: the story of the media doesn't want to talk to

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Speaker 1: you about. They'd rather have the Trump administration and all

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Speaker 1: of its surrogates playing defense on anti Semitism charges as

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Speaker 1: though that's a meaningful accusation against Donald Trump and his

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Speaker 1: top advisors. I've even seen people on TV saying, well,

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Speaker 1: the fact that his daughter converted to Judaism and his

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Speaker 1: son in law is Jewish has nothing to do with

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Speaker 1: this discussion. I think it does. Actually, I think that

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Speaker 1: that's that's now you're you're going off into looney Tunes

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Speaker 1: land if you're gonna tell me that when someone has

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Speaker 1: members of the Jewish faith in their own immediate family,

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Speaker 1: that that that doesn't mean anything when you're gonna talk

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Speaker 1: about how the anti it's just it's mind boggling. But

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Speaker 1: let's understand the purpose of it is that we spend time,

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Speaker 1: uh talking about it, that the administration defended, and that

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Speaker 1: there's less oxygen in the room. There's less space in

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Speaker 1: the major newspapers and the different segments on cable news

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Speaker 1: and the the thirty minute news shows that they do

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Speaker 1: on the broadcast Network's ABC, NBCCBS, quote news shows, Um,

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Speaker 1: they don't want you talking about what happened in Denver.

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Speaker 1: Let me tell you a bit about it because this

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Speaker 1: ties directly into so much of the debate we're hearing

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Speaker 1: right now over illegal immigration and what the administration plans

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Speaker 1: to do about it. In Denver, UH, the Denver Sheriff

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Speaker 1: Department has had to defend its release of an illegal

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Speaker 1: immigrant after he posted bond because well, he was arrested

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Speaker 1: for murder weeks later. Denver claims that had no authority

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Speaker 1: to hold him. A Ver Vays, nineteen was a Mexican national.

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Speaker 1: He was released from Denver jail in late December, and

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Speaker 1: last week he was charged in the state for along

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Speaker 1: with another defendant, for the murder and robbery of a

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Speaker 1: man at a rail station. So Denver had this individual

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Speaker 1: who was an illegal immigrant in their custody and they

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Speaker 1: claimed they had no authority to hold him. That's not true,

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Speaker 1: but they claimed they have no authority to hold them

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Speaker 1: because they know right now the heat has been turned up.

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Speaker 1: Right now, it would look really bad. People would be upset.

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Speaker 1: There's an understanding that the American people have that someone

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Speaker 1: is dead at u S citizen is dead. An American

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Speaker 1: is dead because of the decision of the sheriff's department

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Speaker 1: in Denver. It is not the case that states lack

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Speaker 1: sufficient police power. I mean, we could break this down

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Speaker 1: into the constitutional argument. We can talk about it just

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Speaker 1: as a security argument. There are any number of levels

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Speaker 1: it is. It is not the case that they lack

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Speaker 1: a priority to arrest for what could what are federal crimes.

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Speaker 1: This happens all the time. You know. Local police often

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Speaker 1: are involved in arrests for what are in fact federal

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Speaker 1: crimes or that are chargeable under the federal code, and

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Speaker 1: under their police powers, they have the ability to do that.

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Speaker 1: So when Denver says that they won't even hold someone

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Speaker 1: who's in the country illegally for federal law enforcement to

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Speaker 1: pick him up, this is the request for a detainer,

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Speaker 1: and sanctuary cities decide that they're not going to be

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Speaker 1: They're not going to be helpful to federal immigration authorities.

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Speaker 1: They will not hold somebody who is in their custody.

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Speaker 1: Not that it's never the case that the federal government

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Speaker 1: is saying, okay, law enforcement, you just have to go

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Speaker 1: door to door and find people who are in the

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Speaker 1: country illegally. This only applies to individuals who find themselves

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Speaker 1: in the hands of law enforcement on an unrelated matter

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Speaker 1: to immigration, and then their status, their illegal status in

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Speaker 1: this country becomes clear and they can deal with it,

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Speaker 1: and they're supposed to pass that information the federal government

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Speaker 1: and then they can hold the person until the federal

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Speaker 1: government comes and picks them up. Immigrations and Customs enforcement

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Speaker 1: deals with that case. So these are all this is

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Speaker 1: already a pre selected group. These are people who are

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Speaker 1: in the hands of law enforcement unrelated to their immigration status,

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Speaker 1: and sanctuary cities decide that they will let somebody go

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Speaker 1: because they don't want to be a part of this.

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Speaker 1: They think that federal immigration law is icky and gross.

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Speaker 1: They refuse to terrify communities into the shadows by enforcing

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Speaker 1: the law. Now, when law enforcement agencies local and you

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Speaker 1: look at also local politicians, mayor city councils decide that

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Speaker 1: federal law doesn't apply in their jurisdictions, we have a

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Speaker 1: big problem. And when someone is killed because as we

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Speaker 1: saw with Kate Steinley and San Francisco, that individual had

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Speaker 1: been deported I believe five times and was able to

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Speaker 1: get back into the country and San Francisco had him.

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Speaker 1: He was a convicted Falon, and they let him out

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Speaker 1: and they would not hold him. San Francisco is one

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Speaker 1: of the most ardent sanctuary cities. And a woman was

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Speaker 1: dead because of it, Kate Steinley, and all of a sudden,

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Speaker 1: the country spent a few moments looking at the immigration

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Speaker 1: question a bit differently. Now we're back in the same place.

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Speaker 1: A man is dead because of what the Denver Sheriff's

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Speaker 1: Department decided to do. Because then Denver Sheriff's Department is

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Speaker 1: picking and choosing which which laws it will enforce and

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Speaker 1: refuses refuses to be helpful to the federal government when

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Speaker 1: the federal government asks for Remember these are this is

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Speaker 1: from one law enforcement agency to another. Imagine for a

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Speaker 1: second if a state decided that it was not going

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Speaker 1: to honor extradition requests from another state for still for

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Speaker 1: this is now for violetations of state law. You know,

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Speaker 1: if you do something in Alabama and then you think, well,

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Speaker 1: I'm just going to run to Missouri and they'll never

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Speaker 1: catch me. You have you you are mistaken. Missouri will

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Speaker 1: send you back to Alabama at Alabama's request. This is

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Speaker 1: true of states all across the country. This notion that

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Speaker 1: sanctuary cities are this harmless and in fact, ethical moral

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Speaker 1: decision made by these cities is complete nonsense. It adds

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Speaker 1: to the culture of lawlessness around immigration in this country,

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Speaker 1: and people lose their lives because of it. Very hard

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Speaker 1: to make the case that if accused murderer, alleged murderer,

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Speaker 1: ever Vayas was very hard to make the case that

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Speaker 1: if he had been deported once he was in custody

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Speaker 1: weeks before this murder occurred, that this individual who was

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Speaker 1: murdered would not be alive. Very hard for any government

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Speaker 1: official to make that case. They have blood on their hands.

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Speaker 1: That's not an overstatement, and it also signifies it also

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Speaker 1: shows us. This is emblematic of a much more widespread

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Speaker 1: attitude among authorities in sanctuary cities across the country, particularly

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Speaker 1: sanctuary cities that are overrun with illegal populations that have

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Speaker 1: such political clout now that it's almost impossible locally to

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Speaker 1: oppose them. Only the federal government could step in with

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Speaker 1: enforcement of the law to do anything about this. But

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Speaker 1: their attitude is, we don't care. We're going to defy

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Speaker 1: federal law here because it's in our interest to do so,

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Speaker 1: and because we've also internalized all of this stuff about

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Speaker 1: how we're a nation of immigrants and people don't shouldn't

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Speaker 1: be in the shadows, and they're doing the jobs Americans

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Speaker 1: want to all this propaganda that many of us have internalized,

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Speaker 1: knowingly or not. These sanctuary cities have decided that it's

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Speaker 1: the truth, that this is how they're going to go

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Speaker 1: forward and refuge used to help federal immigration authorities. This

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Speaker 1: is a scandal, it's wrong, and the Trump administration he's

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Speaker 1: gonna put a stop to it. There is going to

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Speaker 1: be quite a fight looming ahead here where you have

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Speaker 1: the federal government finally telling these cities you either play

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Speaker 1: ball and you help us get dangerous illegal aliens off

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Speaker 1: the streets, or there will be consequences. That is quite

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Speaker 1: a change from the last administration. We've got more coming up.

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Speaker 1: Stay with me, Buck Sexton, with America now where there

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Speaker 1: is always something to talk about, where you can trade

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Speaker 1: opinions with Buck. I'm not sure you'll win, though. Just

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

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Speaker 1: four nine to eight to five. Alright, Buck, you're on team.

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Speaker 1: I just wanted to finish with a couple more thoughts

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Speaker 1: and some details about that Denver case. The murder alleged

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Speaker 1: murder by Well. The murder is an alleged the murder

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Speaker 1: allegedly committed by a ver vayaz Um and he was

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Speaker 1: specifically requested. Immigrations and Customers Enforcements said that it asked

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Speaker 1: Denver County to hold him. They asked for a detainer,

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Speaker 1: and they said that he's a known gang member and

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Speaker 1: in fact, in Colorado's gang database, he is listed as

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Speaker 1: a known gang member. So they let a dangerous gang

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Speaker 1: member out of prison, because good heavens, wouldn't it be

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Speaker 1: so awful if the Sheriff's department helped Immigrations and Customs

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Speaker 1: enforcement take this gang member who's not supposed to be

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Speaker 1: in the United States in the first place, and send

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Speaker 1: him back to where he came from. Denver Sheriff's Department

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Speaker 1: made a choice, a political choice, make no mistake about it,

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Speaker 1: and their sighting of the of the Constitution is laughable.

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Speaker 1: They are wrong. Otherwise people will just be able to all.

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Speaker 1: You know that you could just have illegals contesting any

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Speaker 1: time they get picked up by any by any local

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Speaker 1: law enforcement, which it does happen. You can't hold me.

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Speaker 1: I'm not in your country legally, don't you know that

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Speaker 1: means you can't hold me. This is nonsense and it's dangerous,

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Speaker 1: and people are sick of it. And we're also just

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Speaker 1: sick of being lied to. That's why the whole Sweden

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Speaker 1: case had so much resonance. That is why people who

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Speaker 1: first of all had to had to sit back and

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Speaker 1: listen to the mockery of Trump for making a point

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Speaker 1: that anybody I've been to Sweden, I can tell you

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Speaker 1: this idea of predominantly Muslim immigrant enclaves as nodes of

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Speaker 1: crime and lack of assimilation and all kinds of problems.

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Speaker 1: This is long standing, It is understood, it is known,

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Speaker 1: and the Swedish government is lying to the Swedish people

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Speaker 1: and to the rest of the world that how serious

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Speaker 1: the problem is, because what else are they gonna say? Yeah, sorry,

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Speaker 1: we you know Perdurber urban border. I always think of

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Speaker 1: the Swedish chef, but you know, yes, sorry, what what

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Speaker 1: we We made a bad move with this whole obsession

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Speaker 1: with multiculturalism and thinking that our country is a giant

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Speaker 1: refugee camp. No, they're not gonna say that. Many of

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Speaker 1: them probably refused to believe it, even though it is

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Speaker 1: literally in some cases, smacking them in the face. And

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Speaker 1: yet here we are people in this country realized that

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Speaker 1: we were also being lied to constantly about immigration, about

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Speaker 1: the crimes committed by legals, how much of a problem

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Speaker 1: illegal immigrant crime causes for for neighborhoods, for cities across

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Speaker 1: the country. They're just lying to you, and everyone's sick

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Speaker 1: of it, and we wanted to stop. And that's why

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Speaker 1: their support for this. All right, we gotta switch switch

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Speaker 1: gears here for a second. We're joined by James O'Keefe

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Speaker 1: as our guest. He's an award winning journalist and founder

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Speaker 1: and president of Project Very Toss and Project Very Toss Action. James,

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Speaker 1: Good to talk to you again. Good to be with you.

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Speaker 1: So I'm hearing some rumors, James. I'm hearing some stuff

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Speaker 1: about how you got some videos, and the videos maybe

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Speaker 1: deal with a news organization that I am quite familiar

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Speaker 1: with as a former employee. What what can you tell us?

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Speaker 1: I know you can't tell us everything, but what can

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Speaker 1: you tell us? Yeah, there's there's it's I you know,

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Speaker 1: it's it's I. I scoop. I hate to always do

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Speaker 1: this before I release something, but I get bombarded with

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Speaker 1: requests for people will tell tell us. Here's the gist.

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Speaker 1: We had a source from within CNN come to me

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Speaker 1: and and give me hundreds of hours of secretly recorded

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Speaker 1: uh information within CNN's newsrooms. Exciting start releasing this. We're

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Speaker 1: gonna start releasing this tomorrow sort of wiki leaks style.

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Speaker 1: Usually what we do is we produced like a five

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Speaker 1: or ten minute video, but this time we're gonna basically

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Speaker 1: just dumped the raw audio because I have actually had

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Speaker 1: the time to go through it all, and um, I

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Speaker 1: just got this information this month. I've on through a

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Speaker 1: lot of it. Some of it I I've I've found

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Speaker 1: some little nuggets, some interesting quotes from from some people,

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Speaker 1: and I'm we are putting out a video that's produced,

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Speaker 1: but we're also going to put out the raw material

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Speaker 1: so people can go through it themselves and maybe they'll

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Speaker 1: find something I didn't. And uh, you know, people say,

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Speaker 1: why you're doing this. I think your audience obviously knows

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Speaker 1: the answer that the media is is so deeply corrupt

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Speaker 1: and and I don't even think they're doing their jobs anymore.

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Speaker 1: I think they're just just obfus skating. So there's definitely

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Speaker 1: a priority of Veritas is to target the media, and

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Speaker 1: to expose what they actually believe behind closed doors, and

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Speaker 1: how they actually work, and their flaws and their dirty

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Speaker 1: laundry and their problems and their omissions. Is all things

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Speaker 1: to expose. It's just no one else can do it.

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Speaker 1: Certainly no one in the media can do it because

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Speaker 1: they're afraid of liability and they're afraid of hurting their

430
00:24:54,600 --> 00:24:57,119
Speaker 1: friends and media. So it's up to the job of

431
00:24:57,160 --> 00:24:59,960
Speaker 1: independent people to do it. So that's what we're doing tomorrow.

432
00:25:00,040 --> 00:25:02,840
Speaker 1: I'd stay around ten am. We're gonna dump about a

433
00:25:02,880 --> 00:25:06,440
Speaker 1: hundred hours of tape on our website and at cnn

434
00:25:06,520 --> 00:25:10,920
Speaker 1: leaks dot com. Is the redirect. Most of the people

435
00:25:10,960 --> 00:25:13,920
Speaker 1: that I know who work off camera and media would

436
00:25:14,000 --> 00:25:16,760
Speaker 1: agree with the statement that if you let your uh,

437
00:25:16,880 --> 00:25:21,560
Speaker 1: if you let your political leanings be known and they

438
00:25:21,600 --> 00:25:24,400
Speaker 1: were right of center, if you if you let people

439
00:25:24,400 --> 00:25:26,840
Speaker 1: know you voted for Trump, for example, and you're a

440
00:25:26,880 --> 00:25:31,800
Speaker 1: producer or a cameraman or whatever, you have put your

441
00:25:31,840 --> 00:25:34,919
Speaker 1: career in jeopardy. In fact that they won't make it

442
00:25:34,960 --> 00:25:37,640
Speaker 1: clear that that's why, but you will be undermined. You'll

443
00:25:37,640 --> 00:25:41,920
Speaker 1: be thought of differently because there is a secret handshake

444
00:25:42,000 --> 00:25:44,760
Speaker 1: ethos in these places of well, we all know we

445
00:25:44,800 --> 00:25:47,920
Speaker 1: actually hate Republicans, right, and I know this. I know this. Personally,

446
00:25:47,920 --> 00:25:50,280
Speaker 1: I'm not I'm not even going to the level yet

447
00:25:50,280 --> 00:25:52,000
Speaker 1: of of what we're going to see in these videos,

448
00:25:52,240 --> 00:25:53,959
Speaker 1: but so I know that that's there, James. So that's

449
00:25:53,960 --> 00:25:56,600
Speaker 1: why I'm fascinated to see and to hear what you

450
00:25:56,640 --> 00:25:58,760
Speaker 1: have with these videos, specifically at CNN. I mean I

451
00:25:58,800 --> 00:26:00,800
Speaker 1: could tell my own stories about what like there and

452
00:26:00,800 --> 00:26:02,680
Speaker 1: how you're set up. I would joke around with friends,

453
00:26:02,720 --> 00:26:04,359
Speaker 1: I'd say, this is how the segment is going to go.

454
00:26:04,440 --> 00:26:06,040
Speaker 1: This is how they're going to try to undermine me

455
00:26:06,280 --> 00:26:09,280
Speaker 1: or some other right wing person. And they treat us like,

456
00:26:09,680 --> 00:26:11,960
Speaker 1: you know, uh, like we're some sort of zoo animal.

457
00:26:12,000 --> 00:26:14,000
Speaker 1: I mean, they put you up there, you get yelled at,

458
00:26:14,320 --> 00:26:16,760
Speaker 1: you get the you get the anchor cutting you off,

459
00:26:16,880 --> 00:26:19,200
Speaker 1: and you know that that's now. That's the on camera stuff,

460
00:26:19,200 --> 00:26:22,000
Speaker 1: but even off camera it's really bad. Can you give

461
00:26:22,080 --> 00:26:23,840
Speaker 1: us a little bit I kind of can't. I know,

462
00:26:23,960 --> 00:26:25,760
Speaker 1: I'm kind of asking you to get ahead of get

463
00:26:25,760 --> 00:26:27,800
Speaker 1: ahead of your own scoop here, but but can you

464
00:26:27,800 --> 00:26:29,119
Speaker 1: give us a little bit of a sense of what

465
00:26:29,320 --> 00:26:31,600
Speaker 1: sorts of things if you want to give us a

466
00:26:31,600 --> 00:26:34,080
Speaker 1: couple of quotes like a movie trailer. I'm just saying, James,

467
00:26:34,119 --> 00:26:35,960
Speaker 1: you don't have to, but that would be great, But

468
00:26:36,040 --> 00:26:38,720
Speaker 1: at least give us some flavor, some sense of what's

469
00:26:38,760 --> 00:26:42,679
Speaker 1: going to be out there. Well, that's that's tough. Honestly,

470
00:26:42,720 --> 00:26:46,720
Speaker 1: that's tough for me to do. I I I. One

471
00:26:46,720 --> 00:26:50,440
Speaker 1: of the things that we know from the election, we

472
00:26:50,560 --> 00:26:53,160
Speaker 1: know what Trump called seen and fake news, and there's

473
00:26:53,160 --> 00:26:56,080
Speaker 1: a lot of emphasis put on polls. The media uses

474
00:26:56,560 --> 00:26:59,359
Speaker 1: experts and polls. Well, there's some of that. There's some

475
00:26:59,440 --> 00:27:03,120
Speaker 1: there's some talk about holes behind the scenes and and

476
00:27:03,119 --> 00:27:05,399
Speaker 1: and and and maybe they're the reliance on them and

477
00:27:05,400 --> 00:27:07,840
Speaker 1: how they're fake and how they're not real. So there's

478
00:27:07,840 --> 00:27:10,200
Speaker 1: some there's some information like that that I think. Butcher's

479
00:27:10,320 --> 00:27:13,280
Speaker 1: is the claim that a lot of this news is fake. Um,

480
00:27:13,320 --> 00:27:16,160
Speaker 1: and there are some people in these in these tapes

481
00:27:16,200 --> 00:27:19,680
Speaker 1: who have who actually some of these tapes are are

482
00:27:19,880 --> 00:27:22,760
Speaker 1: are you a couple of years old? So there's so

483
00:27:22,800 --> 00:27:26,920
Speaker 1: many people who are now advanced and higher up within CNN.

484
00:27:27,040 --> 00:27:30,240
Speaker 1: You know, they're they're they're they're they're top dogs since

485
00:27:30,440 --> 00:27:33,680
Speaker 1: so so there's some instrument information here I think people

486
00:27:33,680 --> 00:27:37,040
Speaker 1: will find useful and and and frankly, since I've even

487
00:27:37,040 --> 00:27:41,959
Speaker 1: announced I'm doing this, another whistleblower come forward work with me.

488
00:27:42,040 --> 00:27:44,119
Speaker 1: Is that what's happening is that now you're starting to

489
00:27:44,119 --> 00:27:47,960
Speaker 1: see people within these news organizations are starting to come

490
00:27:48,000 --> 00:27:51,040
Speaker 1: to me, like they go to Julian Assange for example.

491
00:27:51,600 --> 00:27:54,159
Speaker 1: And that's the future is that we work. You know

492
00:27:54,400 --> 00:27:56,560
Speaker 1: what you're in the c I A right, so now

493
00:27:56,560 --> 00:27:58,639
Speaker 1: it works in the intelligence community. It's this is a

494
00:27:58,680 --> 00:28:00,600
Speaker 1: similar type of thing where you you you try to

495
00:28:00,640 --> 00:28:03,639
Speaker 1: recruit people on the inside. And that's kind of what

496
00:28:03,680 --> 00:28:05,800
Speaker 1: we're doing here, is is people are coming to me.

497
00:28:05,840 --> 00:28:07,520
Speaker 1: I had to build this sources to trust. I had

498
00:28:07,520 --> 00:28:09,159
Speaker 1: to go meet with him. I had to you know,

499
00:28:09,200 --> 00:28:13,480
Speaker 1: I had to kind of convince him to betray his

500
00:28:13,480 --> 00:28:16,199
Speaker 1: his organization. And the idea I can tell you for

501
00:28:16,240 --> 00:28:20,720
Speaker 1: as a former CIA officer, James, the ideologically disaffected make

502
00:28:20,840 --> 00:28:24,440
Speaker 1: the best, make the best spies for you on the inside,

503
00:28:24,480 --> 00:28:26,560
Speaker 1: Those who feel like they have been betrayed or wronged,

504
00:28:26,840 --> 00:28:30,000
Speaker 1: much better than offering inducements to people of one kind

505
00:28:30,080 --> 00:28:32,240
Speaker 1: or another. It's better if they if they want to

506
00:28:32,280 --> 00:28:34,560
Speaker 1: settle the score. Whether we're talking about the Soviet Union

507
00:28:34,680 --> 00:28:37,000
Speaker 1: and actually some of the best best spies that we

508
00:28:37,080 --> 00:28:40,880
Speaker 1: had inside the Soviet Union, or I'm sure now in

509
00:28:40,960 --> 00:28:44,880
Speaker 1: this different conflict against media bias and the lies that

510
00:28:44,880 --> 00:28:47,760
Speaker 1: are spread. Uh, can you tell us? Will it? And

511
00:28:48,120 --> 00:28:49,960
Speaker 1: I know we're gonna dance around a little because it's

512
00:28:49,960 --> 00:28:53,280
Speaker 1: gonna come out tomorrow. Where can people see it? Um,

513
00:28:53,960 --> 00:28:59,080
Speaker 1: Project gas. The redirector is CNN Leaks, cnn leaks dot com.

514
00:28:59,080 --> 00:29:03,920
Speaker 1: It's actually trending Twitter. Um. And Uh, this all started

515
00:29:03,920 --> 00:29:05,640
Speaker 1: because I was on the show on Hannity Show when

516
00:29:05,720 --> 00:29:07,760
Speaker 1: he had me on talking about media ethics, and I said, oh,

517
00:29:07,800 --> 00:29:10,200
Speaker 1: we have a story come up this week and it's

518
00:29:10,240 --> 00:29:12,239
Speaker 1: on the top of Drudge right now. And you know,

519
00:29:12,280 --> 00:29:14,640
Speaker 1: it's amazing how these things get of mind of their own.

520
00:29:14,680 --> 00:29:17,440
Speaker 1: But going back to your point about recruiting people, and

521
00:29:17,440 --> 00:29:18,960
Speaker 1: that's a that's a good show to let it slip

522
00:29:18,960 --> 00:29:20,960
Speaker 1: on it. There's millions of people listening, so that's a

523
00:29:20,960 --> 00:29:22,520
Speaker 1: good that's a good way to do it. Go ahead.

524
00:29:22,800 --> 00:29:25,160
Speaker 1: But going going back to your point about recruiting people,

525
00:29:25,280 --> 00:29:28,760
Speaker 1: I mean, I think I found that, um, people are deeply,

526
00:29:28,960 --> 00:29:33,160
Speaker 1: deeply disaffected within these institutions there. And that's not just Sienna,

527
00:29:33,240 --> 00:29:36,080
Speaker 1: it's all types of government institutions, and I think we've

528
00:29:36,080 --> 00:29:37,960
Speaker 1: got to work with these folks to try to see

529
00:29:38,000 --> 00:29:40,600
Speaker 1: how we can. Sometimes you've gotta be careful because you

530
00:29:40,640 --> 00:29:42,760
Speaker 1: don't want to burn the person on the inside. So

531
00:29:43,280 --> 00:29:45,440
Speaker 1: and you worked in the intelligence community to call them

532
00:29:45,440 --> 00:29:48,160
Speaker 1: cutouts or ways that we could protect them. And that's

533
00:29:48,200 --> 00:29:49,920
Speaker 1: one of the things that Baraitas is doing, is we're

534
00:29:49,920 --> 00:29:53,680
Speaker 1: trying to protect these people's identities while also trying to

535
00:29:53,680 --> 00:29:56,600
Speaker 1: get the information. So there's no one else doing it.

536
00:29:56,640 --> 00:29:58,760
Speaker 1: I mean, the media isn't really doing it. They're just

537
00:29:58,800 --> 00:30:02,360
Speaker 1: sort of going on TV and talking sometimes lying. So

538
00:30:02,760 --> 00:30:05,840
Speaker 1: we're trying to really report what happens behind closed doors.

539
00:30:05,840 --> 00:30:10,400
Speaker 1: And really exciting things to me is even announcing the story.

540
00:30:10,640 --> 00:30:13,920
Speaker 1: I've already had two whistleblowers come to me and well,

541
00:30:13,920 --> 00:30:16,840
Speaker 1: I mean because the CNN CNN is and I used

542
00:30:16,880 --> 00:30:18,560
Speaker 1: to think, and people say, well, Buck, if you're a conservative,

543
00:30:18,560 --> 00:30:20,280
Speaker 1: why would you go over there? I thought, well, going

544
00:30:20,320 --> 00:30:22,760
Speaker 1: to the lions Den. But you don't understand you're going

545
00:30:22,800 --> 00:30:25,800
Speaker 1: to lions Den and they tie your arms behind your back,

546
00:30:25,840 --> 00:30:27,840
Speaker 1: and they tie your legs together. They tell you that

547
00:30:27,840 --> 00:30:29,080
Speaker 1: you know they're gonna give you a sword in a

548
00:30:29,080 --> 00:30:31,120
Speaker 1: shield and may the best men win, but they actually

549
00:30:31,120 --> 00:30:32,760
Speaker 1: tie you up and throw you in the middle and

550
00:30:32,840 --> 00:30:34,800
Speaker 1: put you on TV. And if you were to get

551
00:30:34,840 --> 00:30:37,680
Speaker 1: out of those constraints and actually win a couple of rounds,

552
00:30:37,840 --> 00:30:39,400
Speaker 1: then they just kick you out of the arena for

553
00:30:39,400 --> 00:30:41,240
Speaker 1: a while. So that's how they play the game over there.

554
00:30:41,560 --> 00:30:45,520
Speaker 1: But is there anything CNN is as left wing as MSNBC.

555
00:30:45,640 --> 00:30:48,440
Speaker 1: It just pretends not to be. And that's that's my assessment.

556
00:30:48,440 --> 00:30:50,080
Speaker 1: You don't have to share that, but that's what I think.

557
00:30:50,480 --> 00:30:54,480
Speaker 1: Is there anything in these videos, uh that would make

558
00:30:54,560 --> 00:30:57,760
Speaker 1: CNN even maybe take a moment of pause because the

559
00:30:57,760 --> 00:31:01,880
Speaker 1: whole notion of their gold standard realistic integrity will people

560
00:31:01,960 --> 00:31:03,680
Speaker 1: might have a different view of it, and not just

561
00:31:03,840 --> 00:31:07,800
Speaker 1: right wingers. I don't think that. I don't think that's

562
00:31:07,840 --> 00:31:10,600
Speaker 1: the best material is where they're being like left wing

563
00:31:10,760 --> 00:31:14,640
Speaker 1: behind closed doors. I I don't think that would hurt them.

564
00:31:14,680 --> 00:31:17,760
Speaker 1: I think that that's to be expected. I think the

565
00:31:17,800 --> 00:31:21,960
Speaker 1: best material that we can release and you'll see, yeah,

566
00:31:21,960 --> 00:31:24,720
Speaker 1: I think the best materials where ones where they're literally

567
00:31:24,760 --> 00:31:28,480
Speaker 1: talking about you know, this is this is a fake news.

568
00:31:28,520 --> 00:31:31,360
Speaker 1: This is a fake news, a manufacturing of used expose

569
00:31:31,600 --> 00:31:34,560
Speaker 1: more than a bias expose. Listen, if I if I

570
00:31:34,600 --> 00:31:37,120
Speaker 1: were to getting executivev executive on tape just talking about

571
00:31:37,120 --> 00:31:38,480
Speaker 1: how much he hates Trump. I don't think it's in

572
00:31:38,520 --> 00:31:40,520
Speaker 1: a surprise anymore. I don't think that's damning. I don't,

573
00:31:40,520 --> 00:31:42,360
Speaker 1: I don't. I don't think that's surprising. I think that's

574
00:31:42,560 --> 00:31:45,760
Speaker 1: our imaginations or even worse than reality. There. I think

575
00:31:45,840 --> 00:31:50,200
Speaker 1: in any any evidence of media people colluding to omit

576
00:31:50,360 --> 00:31:52,920
Speaker 1: things colluding to say, well, we don't care about that

577
00:31:53,040 --> 00:31:55,640
Speaker 1: the reality. We're just going to use this fake pole

578
00:31:55,800 --> 00:31:58,160
Speaker 1: or whatever the thing. Now, that's not that's damning. So

579
00:31:58,200 --> 00:32:01,960
Speaker 1: I would say that that's the type of of information

580
00:32:02,000 --> 00:32:05,200
Speaker 1: and the type of material that we're looking for. We

581
00:32:05,240 --> 00:32:07,280
Speaker 1: do these types of stories. But again I would ask

582
00:32:07,800 --> 00:32:12,200
Speaker 1: your audience hundreds of hours of tape that you guys

583
00:32:12,200 --> 00:32:13,880
Speaker 1: are gonna have to mind this because we didn't go

584
00:32:13,920 --> 00:32:15,440
Speaker 1: through all of it, and there's gonna be some things

585
00:32:15,440 --> 00:32:16,960
Speaker 1: that you guys hear that I didn't hear, and some

586
00:32:17,040 --> 00:32:18,800
Speaker 1: things that you think are important, and I don't think

587
00:32:18,800 --> 00:32:21,080
Speaker 1: it's important. The first time we've done this type of thing,

588
00:32:21,160 --> 00:32:23,920
Speaker 1: put out hundred hundreds of hours of raw but I

589
00:32:23,960 --> 00:32:26,040
Speaker 1: think that's the way to go here, because we want

590
00:32:26,080 --> 00:32:29,520
Speaker 1: to see how these people operate. All right, crowdsourcing the

591
00:32:29,600 --> 00:32:32,720
Speaker 1: hunt for fake news. I like it. James O'Keefe is

592
00:32:32,840 --> 00:32:35,800
Speaker 1: an award winning journalists. He's the founder president of Project Veritas,

593
00:32:35,840 --> 00:32:39,240
Speaker 1: Project Veritas Action and tomorrow CNN Leaks dot Com. James,

594
00:32:40,120 --> 00:32:42,720
Speaker 1: that's rights dot com. I'll be on it. I'll check

595
00:32:42,760 --> 00:32:44,720
Speaker 1: it out, James. Great to have you, Thanks for calling in.

596
00:32:45,520 --> 00:32:48,200
Speaker 1: Thank you all right, Team Buck phone lines are open

597
00:32:48,280 --> 00:32:52,320
Speaker 1: eight four four nine hundred. That's eight four or four

598
00:32:52,440 --> 00:32:55,760
Speaker 1: nine zero zero Buck b U c K. We'll be

599
00:32:55,840 --> 00:32:59,560
Speaker 1: right back, Team Buck, welcome back to the freedom Hunt.

600
00:32:59,560 --> 00:33:03,040
Speaker 1: Great to have view. Got callers calling in left and right.

601
00:33:03,200 --> 00:33:09,400
Speaker 1: Matt in New Hampshire, you're on the Buck Sexton Show. Welcome, Hi, Buck,

602
00:33:09,680 --> 00:33:12,280
Speaker 1: big fan. I just wanted to ask you. So I

603
00:33:12,360 --> 00:33:15,360
Speaker 1: go to Dartmouth College and I happen to be Jewish.

604
00:33:16,360 --> 00:33:18,880
Speaker 1: Team Buck campus in the house. Very exciting someone on

605
00:33:18,920 --> 00:33:20,680
Speaker 1: the campus to call in. Thank you, sir, go ahead,

606
00:33:22,280 --> 00:33:25,040
Speaker 1: yes exactly. You know, we have to deal with the

607
00:33:25,640 --> 00:33:28,920
Speaker 1: crazy lefties every day here, so it gets tough. But

608
00:33:29,280 --> 00:33:32,160
Speaker 1: and just today they're trying to declare Hanover, New Hampshire

609
00:33:32,480 --> 00:33:35,239
Speaker 1: a sanctuary town. Nice. When I was at Amherst, they

610
00:33:35,240 --> 00:33:37,680
Speaker 1: declared in the city council or the town council, because

611
00:33:37,680 --> 00:33:39,440
Speaker 1: there's like hundreds of people that live in amirs that

612
00:33:39,440 --> 00:33:42,560
Speaker 1: aren't college students, that it was a nuclear weapons free zone.

613
00:33:42,640 --> 00:33:44,760
Speaker 1: I kid you not. So if you just, you know,

614
00:33:44,760 --> 00:33:47,480
Speaker 1: if you were smuggling plutonium in the environs of Amherst,

615
00:33:47,680 --> 00:33:49,360
Speaker 1: the city council is going to have words with you.

616
00:33:49,400 --> 00:33:54,479
Speaker 1: Go ahead, great, that's that's hilarious. So I was wondering

617
00:33:54,480 --> 00:33:57,320
Speaker 1: if you think there's any credibility to the notion that

618
00:33:57,400 --> 00:34:01,600
Speaker 1: the left media is ratcheting up this um, you know,

619
00:34:02,000 --> 00:34:05,640
Speaker 1: accusations of anti Semitism towards Trump as sort of a

620
00:34:05,720 --> 00:34:09,120
Speaker 1: smoke screen or to counter the fact that increasing number

621
00:34:09,200 --> 00:34:13,800
Speaker 1: of Jews are voting for Republicans, and and also to

622
00:34:13,800 --> 00:34:16,640
Speaker 1: to hide against the fact that, you know, there are

623
00:34:16,640 --> 00:34:18,640
Speaker 1: all these other things like what you're talking about in

624
00:34:18,680 --> 00:34:21,680
Speaker 1: Denver or so many other issues that you know, would

625
00:34:21,680 --> 00:34:24,839
Speaker 1: seem to give credibility to Trump. Are they using this

626
00:34:25,040 --> 00:34:28,520
Speaker 1: as as a reason to um, you know, counter counter

627
00:34:28,600 --> 00:34:31,759
Speaker 1: these trends. I think the answer is yes, on a

628
00:34:31,880 --> 00:34:34,560
Speaker 1: number on a number of fronts. This is meant to

629
00:34:34,600 --> 00:34:37,759
Speaker 1: both be a line of attack against the administration to

630
00:34:37,920 --> 00:34:41,799
Speaker 1: distract from other policy issues and other stories that would

631
00:34:41,840 --> 00:34:44,480
Speaker 1: feed into discussions of those policy issues, like the Denver

632
00:34:45,120 --> 00:34:48,400
Speaker 1: the case of the Denver gang member who murdered somebody

633
00:34:48,440 --> 00:34:51,719
Speaker 1: and or allegedly murdered somebody, and the Sheriff's department was like, well,

634
00:34:51,760 --> 00:34:53,680
Speaker 1: you know, we couldn't hold them. No, actually they could.

635
00:34:54,360 --> 00:34:56,880
Speaker 1: And and anybody who saw the meeting between Trump and

636
00:34:56,920 --> 00:35:00,600
Speaker 1: net and Yahoo, the Prime Minister of the Jewish State, right,

637
00:35:00,880 --> 00:35:03,520
Speaker 1: anyone who saw that meaning and saw the interactions between

638
00:35:03,520 --> 00:35:06,480
Speaker 1: those two uh, came out of it saying, well, this

639
00:35:06,560 --> 00:35:10,160
Speaker 1: is a very different feel and tone and sense of

640
00:35:10,920 --> 00:35:12,560
Speaker 1: between these two men than what we have with the

641
00:35:12,560 --> 00:35:16,560
Speaker 1: previous the previous president. It's just there wasn't a warmth

642
00:35:16,600 --> 00:35:18,880
Speaker 1: between Obama and net and Yaho. That was quite clear.

643
00:35:18,920 --> 00:35:22,760
Speaker 1: Obama said things that really annoyed Israel and the Jewish State.

644
00:35:22,960 --> 00:35:24,560
Speaker 1: If you go back into his history, there's plenty of

645
00:35:24,600 --> 00:35:28,120
Speaker 1: reasons to believe that he is uh. He holds the

646
00:35:28,200 --> 00:35:31,200
Speaker 1: Jewish State had some degree of disfavor. This is Obama now.

647
00:35:31,800 --> 00:35:34,120
Speaker 1: And yet you've got people that are saying this stuff

648
00:35:34,120 --> 00:35:36,600
Speaker 1: about Trump. I bet if you know the poll, you

649
00:35:36,640 --> 00:35:39,000
Speaker 1: won't see this week is okay, what did Jews in

650
00:35:39,040 --> 00:35:42,040
Speaker 1: Israel think about Trump versus Obama? That would be let's

651
00:35:42,080 --> 00:35:44,719
Speaker 1: hear more about anti Semitism after that. I would love

652
00:35:44,760 --> 00:35:48,000
Speaker 1: to see some polling on whether a majority of Israeli's,

653
00:35:48,520 --> 00:35:51,640
Speaker 1: of Jewish Israelis, which is obviously most Israelis but not all, um,

654
00:35:51,680 --> 00:35:54,720
Speaker 1: a majority of them support Trump over Obama as president

655
00:35:54,840 --> 00:35:57,160
Speaker 1: or prefer I should say Trump over Obama as president.

656
00:35:57,440 --> 00:35:59,280
Speaker 1: I think the answer to that is pretty clear to everybody.

657
00:35:59,280 --> 00:36:03,320
Speaker 1: What do you think, man? I definitely agree. I actually

658
00:36:03,360 --> 00:36:06,240
Speaker 1: think there has been some polling. I was in Israel

659
00:36:06,360 --> 00:36:09,400
Speaker 1: in December, and from talking to people there, I certainly

660
00:36:09,480 --> 00:36:12,680
Speaker 1: got that sense that they were very happy that Trump

661
00:36:12,719 --> 00:36:16,319
Speaker 1: would be becoming president. Uh. They were not fans, very

662
00:36:16,320 --> 00:36:19,360
Speaker 1: few of them, even on the left in Israel. The

663
00:36:19,480 --> 00:36:22,560
Speaker 1: left in Israel, we're not fans of Hillary, which I

664
00:36:22,600 --> 00:36:25,400
Speaker 1: think is is very reflective of the fact that you know,

665
00:36:25,520 --> 00:36:29,480
Speaker 1: a majority of Jews uh in Israel support Trump, and

666
00:36:29,520 --> 00:36:32,400
Speaker 1: I think an increasing number of Jews here are supporting

667
00:36:32,440 --> 00:36:36,200
Speaker 1: Trump because they're seeing what the left uh, they're seeing

668
00:36:36,239 --> 00:36:38,360
Speaker 1: the less true colors, which I think have been hidden

669
00:36:38,400 --> 00:36:42,759
Speaker 1: for a long time but are starting to show themselves. Yes, well,

670
00:36:42,840 --> 00:36:47,000
Speaker 1: the the fondness that the left has for Islamism, for

671
00:36:47,040 --> 00:36:52,239
Speaker 1: political Islam, the defense that the left makes of Islam,

672
00:36:52,280 --> 00:36:55,279
Speaker 1: and and the and the refusal to talk about any

673
00:36:55,320 --> 00:36:58,520
Speaker 1: connection to terrorism and terrorist groups. I gotta think if

674
00:36:58,520 --> 00:37:01,640
Speaker 1: you're in ISRAELI you see that and you think to yourself, wow,

675
00:37:01,719 --> 00:37:04,759
Speaker 1: there you know, with friends like these, with you know,

676
00:37:04,800 --> 00:37:08,319
Speaker 1: the Democrat Party in America, versus going around pretending like

677
00:37:08,560 --> 00:37:11,640
Speaker 1: jihadism isn't a real thing, the abadministration refusing to say

678
00:37:11,719 --> 00:37:14,120
Speaker 1: radical Islamic terror. I mean, Matt new Hampshire, do me

679
00:37:14,160 --> 00:37:15,680
Speaker 1: a favor. Tell some of those guys and gals of

680
00:37:15,719 --> 00:37:18,120
Speaker 1: the at the Darmouth Review to listen to Buck sexon shore.

681
00:37:18,120 --> 00:37:25,520
Speaker 1: All right, I definitely will. I'm actually there were gay.

682
00:37:25,600 --> 00:37:27,480
Speaker 1: You know, I'm an amorous guy. I want to come

683
00:37:27,520 --> 00:37:29,360
Speaker 1: up and give a speech to the kids at Darmouth.

684
00:37:29,360 --> 00:37:31,080
Speaker 1: Will make some noise, It'll be fun. You let me know,

685
00:37:31,120 --> 00:37:33,279
Speaker 1: reach out, reach out to the show here, Matt. Great,

686
00:37:33,560 --> 00:37:35,239
Speaker 1: great to talk to you, man Shield, Hi, thank you

687
00:37:35,239 --> 00:37:38,200
Speaker 1: for calling in. Um alright, see, we got a lot

688
00:37:38,239 --> 00:37:40,719
Speaker 1: more show coming up. You're not gonna want to go anywhere.

689
00:37:41,000 --> 00:37:43,120
Speaker 1: I'm gonna talk to Caitlin Collins and Daily Caller in

690
00:37:43,200 --> 00:37:46,319
Speaker 1: just a few minutes. Stay with me. The things that

691
00:37:46,360 --> 00:37:49,040
Speaker 1: matter most in your day to day life are too

692
00:37:49,080 --> 00:37:52,000
Speaker 1: important to trust to just anyone. That's that's why, that's

693
00:37:52,000 --> 00:37:57,160
Speaker 1: why he's here. Buck Sexton with America Now, sharp mind,

694
00:37:57,640 --> 00:38:03,880
Speaker 1: strong voice, Buck Sexton. Buck Sexton back with you all now, team,

695
00:38:03,920 --> 00:38:05,719
Speaker 1: Thank you for joining me here in the freedom Hunt.

696
00:38:05,719 --> 00:38:08,319
Speaker 1: We've got our friend Caitlin Collins on the line now.

697
00:38:08,440 --> 00:38:12,160
Speaker 1: She is the Daily Callers White House reporter. Caitlin. Great

698
00:38:12,160 --> 00:38:15,640
Speaker 1: to have you, Hi, Thanks for having me. All right,

699
00:38:15,680 --> 00:38:17,759
Speaker 1: So you're down there, you're in the belly of the

700
00:38:17,800 --> 00:38:20,440
Speaker 1: beast in d C. You're in fact, sitting in the

701
00:38:20,480 --> 00:38:22,719
Speaker 1: West wing now. In these press conferences we talked about

702
00:38:22,800 --> 00:38:26,600
Speaker 1: last week, Uh, first off, what was the what was

703
00:38:26,640 --> 00:38:31,400
Speaker 1: the takeaway today on Tillerson and DHS Secretary Secretary of

704
00:38:31,400 --> 00:38:36,480
Speaker 1: State Tillerson and DHS Secretary John Kelly's uh Mexico city trip.

705
00:38:37,040 --> 00:38:40,280
Speaker 1: What are you hearing about that? It was actually pretty

706
00:38:40,280 --> 00:38:44,399
Speaker 1: interesting because minutes before Sean Spicer came out, Reuter's broke

707
00:38:44,400 --> 00:38:47,640
Speaker 1: the news that Mexico's foreign ministers said they would not

708
00:38:47,840 --> 00:38:52,000
Speaker 1: accept the new immigration policies that we're John Kelly put

709
00:38:52,040 --> 00:38:55,520
Speaker 1: Forth yesterday, and so it was really interesting. It's bad timing,

710
00:38:55,560 --> 00:38:57,560
Speaker 1: I guess, because they're headed down there for the meeting.

711
00:38:58,239 --> 00:39:01,520
Speaker 1: Uh Sean Spicer clarified, he said, no, it's not a cleanup.

712
00:39:01,520 --> 00:39:03,520
Speaker 1: It's not a clean up meeting to repair a relations

713
00:39:03,520 --> 00:39:05,680
Speaker 1: between the two countries. He said that we have a

714
00:39:05,719 --> 00:39:09,080
Speaker 1: great relationship with Mexico right now. But the Foreign Minister

715
00:39:09,120 --> 00:39:11,160
Speaker 1: of Mexico says that the meeting was definitely gonna be

716
00:39:11,160 --> 00:39:15,000
Speaker 1: centered around these new immigration policies that were put out yesterday. Well,

717
00:39:15,040 --> 00:39:17,840
Speaker 1: I've got to I've got to assume that Mexico is

718
00:39:17,880 --> 00:39:21,160
Speaker 1: trying to play to its political base here or two,

719
00:39:21,200 --> 00:39:25,320
Speaker 1: or to its own domestic internal conversations about all of

720
00:39:25,360 --> 00:39:28,320
Speaker 1: the issues that now face them visa the United States,

721
00:39:28,800 --> 00:39:31,760
Speaker 1: and they're going to find out I think pretty quickly

722
00:39:31,880 --> 00:39:35,080
Speaker 1: that the leverage that the US government has to get

723
00:39:35,160 --> 00:39:39,759
Speaker 1: Mexico to follow through on some of these policies or

724
00:39:39,800 --> 00:39:43,000
Speaker 1: even pre existing agreements in some cases is considerable. I

725
00:39:43,040 --> 00:39:44,799
Speaker 1: don't think the Mexican government is going to be able

726
00:39:44,800 --> 00:39:46,600
Speaker 1: to put up as much of a fight as they

727
00:39:46,600 --> 00:39:49,880
Speaker 1: at least want to seem like they will, and I

728
00:39:49,920 --> 00:39:52,920
Speaker 1: think that's what the whole response from the government from

729
00:39:52,960 --> 00:39:54,400
Speaker 1: the Mexican government that we see in advance of this

730
00:39:54,400 --> 00:39:56,439
Speaker 1: trip is about it's it's trying to make it look

731
00:39:56,480 --> 00:39:58,320
Speaker 1: like they can do a lot here. But at the

732
00:39:58,400 --> 00:40:01,240
Speaker 1: end of the day, if the Trump administration really exerts pressure,

733
00:40:01,640 --> 00:40:04,280
Speaker 1: you know, what do things look like in Mexico politically?

734
00:40:04,280 --> 00:40:06,720
Speaker 1: If twenty billion dollars of remittances all of a sudden

735
00:40:06,719 --> 00:40:09,040
Speaker 1: get shut down, get taxed, get looked at by the

736
00:40:09,040 --> 00:40:12,440
Speaker 1: I R S. That changes the game very quickly. No,

737
00:40:12,680 --> 00:40:15,279
Speaker 1: you're exactly right, And you know, who are they to

738
00:40:15,320 --> 00:40:17,880
Speaker 1: tell us what our immigration policies are going to be

739
00:40:17,960 --> 00:40:21,399
Speaker 1: and how we enforce them. Um. I do think part

740
00:40:21,400 --> 00:40:24,120
Speaker 1: of the part of the problem for them is in

741
00:40:24,200 --> 00:40:27,520
Speaker 1: those membos. It's you know, specifically laid out when to

742
00:40:27,560 --> 00:40:30,400
Speaker 1: start construction on the border, all when to start planning

743
00:40:30,400 --> 00:40:32,879
Speaker 1: on it, what states we're starting it in. And I'm

744
00:40:32,880 --> 00:40:35,879
Speaker 1: sure that's something that they were very displaced time. Yeah,

745
00:40:35,880 --> 00:40:38,799
Speaker 1: it's not a good idea. I would think in a

746
00:40:38,920 --> 00:40:42,799
Speaker 1: bilateral relationship like the U. S. Mexico one for them

747
00:40:42,800 --> 00:40:46,080
Speaker 1: to come out before their first major meeting with the

748
00:40:46,120 --> 00:40:49,719
Speaker 1: Department Homeland Security Chief and Secretary of State and say

749
00:40:49,719 --> 00:40:52,040
Speaker 1: we're just not going to accept some of these policies.

750
00:40:52,360 --> 00:40:54,560
Speaker 1: I think they are going to accept some of these policies.

751
00:40:54,719 --> 00:40:59,000
Speaker 1: And for example, it's already it's already US policy, it's

752
00:40:59,000 --> 00:41:02,040
Speaker 1: already on the books that if a country will not

753
00:41:02,160 --> 00:41:05,720
Speaker 1: accept deportease, meaning that when we want to support somebody

754
00:41:05,760 --> 00:41:09,960
Speaker 1: back to their country of origin of citizenship, uh, and

755
00:41:10,000 --> 00:41:12,520
Speaker 1: if they won't take them, we can, and we are

756
00:41:12,520 --> 00:41:15,880
Speaker 1: supposed to in response to that, turn off all visas

757
00:41:15,920 --> 00:41:18,920
Speaker 1: from that country, just shut it down. Now, whether we

758
00:41:18,960 --> 00:41:21,080
Speaker 1: do that or not with Mexico, it's an open question,

759
00:41:21,480 --> 00:41:24,120
Speaker 1: but that to me would be would be the nuclear

760
00:41:24,160 --> 00:41:27,040
Speaker 1: option if they decide that they're not going to take

761
00:41:27,280 --> 00:41:28,960
Speaker 1: take people that we're trying to give them. But I

762
00:41:29,000 --> 00:41:30,799
Speaker 1: know that we're going to see more about this, of

763
00:41:30,840 --> 00:41:33,040
Speaker 1: course after the meeting. I'm sure the Trump administration will

764
00:41:33,040 --> 00:41:35,160
Speaker 1: have some updates on that. There was kind of a

765
00:41:35,160 --> 00:41:38,279
Speaker 1: funny moment as I understand that Caitlin where they were

766
00:41:38,360 --> 00:41:41,759
Speaker 1: asking about whether Trump will watch the oscars, Actually, let's

767
00:41:41,760 --> 00:41:46,800
Speaker 1: can we play the play that audio? Will the president

768
00:41:46,880 --> 00:41:51,560
Speaker 1: be watching? If there's a Meryl Street kind of moment,

769
00:41:52,600 --> 00:41:55,160
Speaker 1: how do you think he'll react and why if this

770
00:41:55,239 --> 00:41:58,200
Speaker 1: is happening about rewards ceremonies. Why do you think this happens?

771
00:41:58,560 --> 00:42:02,719
Speaker 1: What do I think what happens? Actresses and actors like

772
00:42:02,760 --> 00:42:06,520
Speaker 1: Caryl Street, I have no idea. It's a free country, UM.

773
00:42:06,800 --> 00:42:09,520
Speaker 1: I think Hollywood is known for being rather far to

774
00:42:09,560 --> 00:42:12,720
Speaker 1: the left. Um and its opinions, and uh, I gotta

775
00:42:12,719 --> 00:42:14,880
Speaker 1: be honestly, I think the President will be hosting the

776
00:42:14,920 --> 00:42:17,640
Speaker 1: Governor's Ball that night. Mrs Trump looks forward to putting

777
00:42:17,640 --> 00:42:20,480
Speaker 1: on a phenomenal event. Uh. And the First Ladies put

778
00:42:20,480 --> 00:42:23,399
Speaker 1: a lot of time into this event that's gonna occur,

779
00:42:23,480 --> 00:42:25,719
Speaker 1: and welcoming our nation's governors to the Capitol. And I'm

780
00:42:25,840 --> 00:42:28,040
Speaker 1: feeling that that that's where the President and the First

781
00:42:28,080 --> 00:42:30,600
Speaker 1: Lady are gonna be focused on on Sunday night. And

782
00:42:32,760 --> 00:42:35,400
Speaker 1: why why is the Why is the press corps asking

783
00:42:35,640 --> 00:42:37,799
Speaker 1: Sean Spicer if the President is gonna be watching the

784
00:42:37,840 --> 00:42:41,200
Speaker 1: oscars and how will respond to him a hypothetical Meryl

785
00:42:41,239 --> 00:42:44,520
Speaker 1: Street moment, Caitlin, I mean you're sitting right there. Well,

786
00:42:44,560 --> 00:42:47,479
Speaker 1: it's pretty unusual of those types of questions to get

787
00:42:47,480 --> 00:42:49,640
Speaker 1: brought up during the briefing. I think that was why

788
00:42:49,640 --> 00:42:51,680
Speaker 1: it was such a lighthearted moment, because everyone who will

789
00:42:51,719 --> 00:42:54,200
Speaker 1: have thrown off by it. But I guess that's what's

790
00:42:54,200 --> 00:42:56,520
Speaker 1: gonna happen now when Donald Trump is president, because he

791
00:42:56,600 --> 00:43:00,640
Speaker 1: does famously tweet after awards shows still criticize him. He'll

792
00:43:00,640 --> 00:43:03,080
Speaker 1: compliment certain things that happened. You know, he always offers

793
00:43:03,080 --> 00:43:06,560
Speaker 1: his two cents, and especially since he's been in the

794
00:43:06,560 --> 00:43:10,360
Speaker 1: political sphere date, celebrities have used these awards shows to

795
00:43:10,480 --> 00:43:13,080
Speaker 1: you know, let their political opinions be known. And at

796
00:43:13,080 --> 00:43:15,799
Speaker 1: the Golden Globes earlier this year, Meryl Streep kind of

797
00:43:15,840 --> 00:43:18,080
Speaker 1: laid into Donald Trump and she went on this you know,

798
00:43:18,239 --> 00:43:22,279
Speaker 1: lengthy grant about him while she was on stage. And

799
00:43:22,320 --> 00:43:24,640
Speaker 1: the next day, you know, sure enough, at six thirty

800
00:43:24,640 --> 00:43:27,319
Speaker 1: in the morning, Donald Trump tweeted that she was an

801
00:43:27,320 --> 00:43:31,840
Speaker 1: overrated actress and a Hillary lover and clarified that he

802
00:43:31,880 --> 00:43:34,440
Speaker 1: didn't mock it disable to report her like Meryl Streep

803
00:43:34,480 --> 00:43:37,719
Speaker 1: brought up during her speech, and he said, it was

804
00:43:37,760 --> 00:43:41,000
Speaker 1: just more of the dishonest media. So that's why I

805
00:43:41,000 --> 00:43:43,399
Speaker 1: got brought up today because people know that Trump does

806
00:43:43,520 --> 00:43:46,120
Speaker 1: usually have a reaction to things like awards shows and

807
00:43:46,160 --> 00:43:49,440
Speaker 1: Saturday Night Live and what's going on in Hollywood. But

808
00:43:49,680 --> 00:43:52,200
Speaker 1: as John sicher said he won't be tweeting, he won't

809
00:43:52,200 --> 00:43:54,759
Speaker 1: be watching. Yeah, I was gonna say it sounds like

810
00:43:54,880 --> 00:43:57,120
Speaker 1: if he wasn't at the at the Governor's was the

811
00:43:57,160 --> 00:43:59,799
Speaker 1: Governor's Ball, Uh, he would be watching it. It would

812
00:43:59,800 --> 00:44:02,880
Speaker 1: be offering up his commentary on on the Oscars. I

813
00:44:02,880 --> 00:44:04,879
Speaker 1: have to say it just as an aside. I find

814
00:44:04,920 --> 00:44:08,440
Speaker 1: the Oscars to be so boring and so long, and

815
00:44:08,600 --> 00:44:12,520
Speaker 1: I don't understand why. I somehow we've all not We've

816
00:44:12,560 --> 00:44:14,920
Speaker 1: all but what is it? A billion people watch this

817
00:44:15,000 --> 00:44:16,839
Speaker 1: or there's some crazy number of how many people around

818
00:44:16,840 --> 00:44:20,560
Speaker 1: the world watch the Oscars. Uh. To me, it's this

819
00:44:20,640 --> 00:44:23,239
Speaker 1: is this is just so, this is not good entertainment.

820
00:44:23,280 --> 00:44:25,719
Speaker 1: I feel like the Oscars just go on forever. I

821
00:44:25,760 --> 00:44:28,000
Speaker 1: don't go to the movies anymore because people ruin them.

822
00:44:28,000 --> 00:44:30,120
Speaker 1: So I have to wait till everything is on Uh

823
00:44:30,280 --> 00:44:32,040
Speaker 1: is on on demand or you can watch it on

824
00:44:32,040 --> 00:44:34,920
Speaker 1: iTunes or Netflix. So I really have no idea, Like,

825
00:44:34,920 --> 00:44:37,400
Speaker 1: I don't even know what's nominated? Is there anything good nominated?

826
00:44:37,440 --> 00:44:39,520
Speaker 1: You tell me. I know you're not an entertainment reporter anymore,

827
00:44:39,520 --> 00:44:42,200
Speaker 1: but I'm sure you're up to speed on this stuff. Now.

828
00:44:42,280 --> 00:44:44,319
Speaker 1: It's actually funny that you bring that up because the

829
00:44:44,360 --> 00:44:48,240
Speaker 1: Hollywood reporters did just sweeping poll ahead of the Oscars

830
00:44:48,239 --> 00:44:51,120
Speaker 1: on Sunday and a lot of people could not name

831
00:44:51,320 --> 00:44:53,680
Speaker 1: one of the movies that are nominated for Best Picture.

832
00:44:54,200 --> 00:44:56,680
Speaker 1: And they actually did a pretty interesting poll where they

833
00:44:56,840 --> 00:45:01,800
Speaker 1: survey uh, you know, Trump supporters and four Hillary Clinton

834
00:45:01,880 --> 00:45:05,160
Speaker 1: supporters to see if you know, they liked politically charged

835
00:45:05,200 --> 00:45:07,279
Speaker 1: speeches during the awards shows that if they turned the

836
00:45:07,320 --> 00:45:11,160
Speaker 1: TV off when that happened. And not surprisingly, a majority

837
00:45:11,200 --> 00:45:13,520
Speaker 1: of Trump voters said that they stopped watching the awards

838
00:45:13,560 --> 00:45:16,759
Speaker 1: shows when celebrities started talking about politics, but only like

839
00:45:16,880 --> 00:45:19,920
Speaker 1: nineteen or twenty of Hillary Clinton supporters said the same.

840
00:45:20,520 --> 00:45:22,359
Speaker 1: And it was pretty funny because they were saying, you know,

841
00:45:22,440 --> 00:45:25,360
Speaker 1: a lot of Trump voters said they thought the speeches

842
00:45:25,400 --> 00:45:29,319
Speaker 1: were too political and boring and sony, but people who

843
00:45:29,400 --> 00:45:31,600
Speaker 1: voted for Hillary Clinton in the election said that they

844
00:45:31,600 --> 00:45:35,360
Speaker 1: were touching and inspirational and funny. So it's funny to

845
00:45:35,360 --> 00:45:38,759
Speaker 1: see how those two bases differ, you know, when they're

846
00:45:38,760 --> 00:45:42,000
Speaker 1: watching something like the Oscar. Yeah, if a major Hollywood

847
00:45:42,000 --> 00:45:45,640
Speaker 1: actor or director or anybody of that ilk were to

848
00:45:45,680 --> 00:45:49,440
Speaker 1: get up on stage and trash Hillary Clinton or trash

849
00:45:49,440 --> 00:45:52,080
Speaker 1: Elizabeth Warren or I would be so shocked. I don't know,

850
00:45:52,120 --> 00:45:53,480
Speaker 1: I don't know what I do. I might just I

851
00:45:53,560 --> 00:45:55,680
Speaker 1: might just pass out. I'm not sure I'll be able

852
00:45:55,719 --> 00:45:58,400
Speaker 1: to handle that, because the expectation is so clear that

853
00:45:58,440 --> 00:46:00,799
Speaker 1: if someone is gonna get political, they're gonna go hard

854
00:46:00,880 --> 00:46:03,560
Speaker 1: left up there, because that's what's best for their career. Obviously.

855
00:46:03,920 --> 00:46:06,319
Speaker 1: Also also want to also want to ask you, Caitlin Um,

856
00:46:06,360 --> 00:46:08,879
Speaker 1: if you can give me any insights here into when

857
00:46:08,920 --> 00:46:14,000
Speaker 1: are we going to see the Trump immigration order rereleased.

858
00:46:14,120 --> 00:46:16,359
Speaker 1: We've got Spicer saying today that there will be no

859
00:46:16,760 --> 00:46:19,759
Speaker 1: mass deportation. Let's play that audio is one of the

860
00:46:19,760 --> 00:46:23,960
Speaker 1: goals here. Mass deportation. No, not at all. This isn't

861
00:46:24,000 --> 00:46:26,600
Speaker 1: what I think. What we have to get back to

862
00:46:26,719 --> 00:46:29,759
Speaker 1: is understanding a couple of things. There's a law in

863
00:46:29,840 --> 00:46:33,640
Speaker 1: place that says, you know, if you're in this country illegally, UM,

864
00:46:33,680 --> 00:46:35,360
Speaker 1: that we have an obligation to make sure that the

865
00:46:35,360 --> 00:46:38,360
Speaker 1: people who are in this in our country are here legally.

866
00:46:38,760 --> 00:46:41,920
Speaker 1: What the order sets out today is ensures that the

867
00:46:42,040 --> 00:46:45,440
Speaker 1: million or so people that have been adjudicated already, that

868
00:46:45,520 --> 00:46:49,520
Speaker 1: there's a that ice prioritizes creates a system of prioritization

869
00:46:50,000 --> 00:46:53,080
Speaker 1: and make sure that that we walk through that system

870
00:46:53,080 --> 00:46:55,760
Speaker 1: in a way that protects this country. This is consistent

871
00:46:55,800 --> 00:46:59,040
Speaker 1: with everything the President has talked about, which is prioritizing

872
00:46:59,480 --> 00:47:01,920
Speaker 1: the people who who are here represent a threat to

873
00:47:01,960 --> 00:47:04,640
Speaker 1: public safety or have a criminal record. And all this

874
00:47:04,719 --> 00:47:07,240
Speaker 1: does is lay out the exact procedures to make sure

875
00:47:07,600 --> 00:47:11,520
Speaker 1: that that that subgroup of people who pose a threat

876
00:47:11,520 --> 00:47:14,040
Speaker 1: to our nation because of a conviction or a violation

877
00:47:14,719 --> 00:47:18,239
Speaker 1: public safety, or have a criminal record are adjudicated first

878
00:47:18,239 --> 00:47:21,000
Speaker 1: and foremost. That that's it. Okay, So we're talking about prioritization,

879
00:47:21,080 --> 00:47:23,400
Speaker 1: but I was under the impression we might see the

880
00:47:23,440 --> 00:47:27,080
Speaker 1: new executive order on travel today. Are you hearing from

881
00:47:27,160 --> 00:47:29,320
Speaker 1: from folks down in d C? And And you're talking

882
00:47:29,320 --> 00:47:31,399
Speaker 1: everybody in the White House, in the press corps? Are

883
00:47:31,440 --> 00:47:34,880
Speaker 1: are they do they know when this is going to happen? Well,

884
00:47:34,920 --> 00:47:37,080
Speaker 1: it's been changing. You know. A few weeks ago, it

885
00:47:37,160 --> 00:47:39,480
Speaker 1: was we'd have it early this week, and then on

886
00:47:39,600 --> 00:47:41,560
Speaker 1: Monday this week it was like, we'll have it this week,

887
00:47:41,600 --> 00:47:45,719
Speaker 1: and now a White House official has confirmed that he

888
00:47:45,800 --> 00:47:48,000
Speaker 1: will not sign it this week. It will not be

889
00:47:48,040 --> 00:47:50,080
Speaker 1: signed until next week. Next week, is what they're saying,

890
00:47:50,120 --> 00:47:54,200
Speaker 1: now we can exact expect that new executive order, and

891
00:47:54,400 --> 00:47:57,000
Speaker 1: we're not sure why it's taking so long, but we're

892
00:47:57,000 --> 00:47:59,759
Speaker 1: assuming it's because they want to make sure this one

893
00:48:00,040 --> 00:48:03,200
Speaker 1: it's a little bit tighter and more streamlined than the

894
00:48:03,239 --> 00:48:06,160
Speaker 1: other one to where it can pass through the court. However,

895
00:48:06,200 --> 00:48:08,400
Speaker 1: there are the administration is also saying they're not going

896
00:48:08,440 --> 00:48:11,920
Speaker 1: to withdraw their original insecutive order because they think it

897
00:48:12,000 --> 00:48:14,520
Speaker 1: can pass through the courts with the language that it has.

898
00:48:15,000 --> 00:48:16,640
Speaker 1: So it's interesting to see how this is going to

899
00:48:16,719 --> 00:48:18,640
Speaker 1: play out. We're not really sure, but it definitely keeps

900
00:48:18,680 --> 00:48:21,359
Speaker 1: getting pushed back further and further. So we might have

901
00:48:21,560 --> 00:48:25,440
Speaker 1: two simultaneous executive orders that I mean, one of them

902
00:48:25,560 --> 00:48:27,600
Speaker 1: has a stay on it, but it has people keep saying, oh,

903
00:48:27,600 --> 00:48:29,279
Speaker 1: it's been struck down in the court. That actually, as

904
00:48:29,280 --> 00:48:31,399
Speaker 1: you know, not true. It's just has to go through

905
00:48:31,440 --> 00:48:33,960
Speaker 1: the court process now the on Bank carrying the Ninth Circuit,

906
00:48:34,080 --> 00:48:36,839
Speaker 1: or go up to the Supreme Court. But that may

907
00:48:36,880 --> 00:48:40,040
Speaker 1: they may keep that live in a sense, uh, the

908
00:48:40,160 --> 00:48:42,279
Speaker 1: order that already has a stay on it, and put

909
00:48:42,320 --> 00:48:44,839
Speaker 1: forth a new order, and we'd have to see if

910
00:48:44,840 --> 00:48:48,359
Speaker 1: a judge decides to smack down that new order as well.

911
00:48:48,920 --> 00:48:50,799
Speaker 1: Oh this is gonna it's gonna get messy, it's gonna

912
00:48:50,800 --> 00:48:53,040
Speaker 1: get interesting. But Kaylin, anything else we should be look

913
00:48:53,040 --> 00:48:54,720
Speaker 1: out for from the White House the next couple of days.

914
00:48:56,239 --> 00:48:58,880
Speaker 1: We've got a lot coming up, but we never know, honestly.

915
00:48:58,880 --> 00:49:01,680
Speaker 1: What's the most interesting is that on Friday, Donald Trump

916
00:49:01,719 --> 00:49:04,760
Speaker 1: is meeting with Ohio Governor John Kasick at the White House,

917
00:49:05,280 --> 00:49:08,000
Speaker 1: and it should be a pretty interesting meeting. Donald Trump

918
00:49:08,000 --> 00:49:09,480
Speaker 1: has had, you know a lot of people that he

919
00:49:09,520 --> 00:49:12,400
Speaker 1: went up against for the Republican nomination over at the

920
00:49:12,400 --> 00:49:16,520
Speaker 1: White House, Chris Christie, Marker, Rubio, but him and John

921
00:49:16,560 --> 00:49:19,839
Speaker 1: Kasick has probably feuded the most out of you know

922
00:49:20,120 --> 00:49:22,360
Speaker 1: a lot of them. John kaz you know, refused to

923
00:49:22,400 --> 00:49:26,000
Speaker 1: come to the Republican convention. He didn't enduse Donald Trump,

924
00:49:26,080 --> 00:49:28,160
Speaker 1: and he didn't even vote for him. So it should

925
00:49:28,160 --> 00:49:30,640
Speaker 1: be a pretty interesting meeting. And they're also arguing over

926
00:49:30,719 --> 00:49:33,839
Speaker 1: who invited who to the meeting John Kasas People are

927
00:49:33,880 --> 00:49:36,840
Speaker 1: saying that Trump invited him, Trump is saying that Kazik

928
00:49:36,920 --> 00:49:40,040
Speaker 1: wanted the meeting. It's all over the place. Here's your prediction.

929
00:49:40,200 --> 00:49:42,759
Speaker 1: After this meeting, it's gonna look like kask is the

930
00:49:42,760 --> 00:49:44,960
Speaker 1: one who was who had to bend the knee here. Well,

931
00:49:44,960 --> 00:49:48,480
Speaker 1: I'll love to see Caitlyn Collins. Well, we'll see how

932
00:49:48,480 --> 00:49:50,880
Speaker 1: it chakes out. Caitlin Collins is the Daily Callers White

933
00:49:50,880 --> 00:49:53,680
Speaker 1: House Reporter. Can follow her on Twitter at Caitlin with

934
00:49:53,680 --> 00:49:57,320
Speaker 1: a Kay Collins, Caitlyn, great to have you, Thanks so much.

935
00:49:59,080 --> 00:50:01,399
Speaker 1: I gotta say I I've only interviewed I interviewed Kasy

936
00:50:01,560 --> 00:50:07,200
Speaker 1: once once and my one word description Surly. That's right, Surly,

937
00:50:12,760 --> 00:50:15,319
Speaker 1: welcome back. Team. Buck lines are open eight four four

938
00:50:15,840 --> 00:50:18,480
Speaker 1: hundred to eight to five eight four four nine hundred

939
00:50:18,719 --> 00:50:23,440
Speaker 1: buck b U C K Josh in Ohio. W h

940
00:50:23,680 --> 00:50:25,680
Speaker 1: l O you are on the buck sex and show

941
00:50:25,680 --> 00:50:30,560
Speaker 1: what's up? Hey, Man, Uh, I'm just calling and I was.

942
00:50:30,719 --> 00:50:34,160
Speaker 1: I've been listening throughout the week, and uh, I heard

943
00:50:34,200 --> 00:50:36,120
Speaker 1: a lot of what you've said about the protest. I

944
00:50:36,160 --> 00:50:38,799
Speaker 1: want to say I am a Democrat. I did not

945
00:50:38,960 --> 00:50:44,080
Speaker 1: vote for Trump in the election. But at the same time,

946
00:50:44,120 --> 00:50:48,640
Speaker 1: I will say this, he is stour president. I don't

947
00:50:48,640 --> 00:50:53,080
Speaker 1: care if you're a Democrat, a Republican, independent, I don't

948
00:50:53,080 --> 00:50:56,960
Speaker 1: care what you are. Man hasn't even been in office

949
00:50:57,000 --> 00:51:01,040
Speaker 1: two months. Quit beating him down and let him do

950
00:51:01,120 --> 00:51:06,240
Speaker 1: his job and maybe we'll actually get something outing. Now, Josh,

951
00:51:06,239 --> 00:51:10,719
Speaker 1: you sound like a reasonable Democrat, and that means that

952
00:51:10,880 --> 00:51:14,239
Speaker 1: you are about is rare in this country right now,

953
00:51:14,440 --> 00:51:17,000
Speaker 1: as far as I can see, as a snow leopard

954
00:51:17,040 --> 00:51:20,719
Speaker 1: in the wild, you are not. You are not surrounded

955
00:51:20,719 --> 00:51:24,960
Speaker 1: by a Democrat party that takes that approach. And I

956
00:51:25,080 --> 00:51:27,719
Speaker 1: just want to know why do you think that is?

957
00:51:27,880 --> 00:51:29,719
Speaker 1: As somebody who didn't vote for Trump, I'm assuming you

958
00:51:29,840 --> 00:51:33,360
Speaker 1: voted for Hillary, maybe voted for Bernie in the primary. Um,

959
00:51:33,400 --> 00:51:38,239
Speaker 1: but I actually voted Bernie originally, and when he wasn't

960
00:51:38,239 --> 00:51:41,719
Speaker 1: on the ballot, I voted for Hillary. Okay, so you

961
00:51:41,960 --> 00:51:43,680
Speaker 1: pull the lever for Hillary. But now here you are,

962
00:51:43,920 --> 00:51:45,759
Speaker 1: you're listening to the Buck Sexton Show, which means that

963
00:51:45,760 --> 00:51:48,000
Speaker 1: you have excellent taste and there's hope for your politics.

964
00:51:48,000 --> 00:51:50,440
Speaker 1: So that's the good news. But you gotta tell me

965
00:51:50,760 --> 00:51:52,800
Speaker 1: why is it you think that there are so many,

966
00:51:53,000 --> 00:51:56,120
Speaker 1: or rather there are so few Democrats out there who

967
00:51:56,120 --> 00:51:58,719
Speaker 1: are willing to just take a deep breath and say, okay,

968
00:51:58,800 --> 00:52:02,360
Speaker 1: let's let's see what the policies are. Because making endless

969
00:52:02,400 --> 00:52:06,880
Speaker 1: noise about it and protesting and saying that Trump is Hitler.

970
00:52:06,920 --> 00:52:10,680
Speaker 1: In fact, last night on Chucker Carlson. Tonight on Fox News,

971
00:52:10,760 --> 00:52:13,359
Speaker 1: I saw a woman who made the claim I've never

972
00:52:13,360 --> 00:52:15,080
Speaker 1: heard this before, so I have to give her credit

973
00:52:15,120 --> 00:52:19,920
Speaker 1: for creativity and insanity that Pence and Trump were worse

974
00:52:19,920 --> 00:52:23,200
Speaker 1: than hit worse than Hitler because they also have nuclear weapons,

975
00:52:23,280 --> 00:52:26,000
Speaker 1: and well Hitler didn't have those. So you hear some

976
00:52:26,080 --> 00:52:29,040
Speaker 1: pretty crazy stuff out there. Josh, do you do you

977
00:52:29,040 --> 00:52:31,040
Speaker 1: think you can convince some of your fellow Democrats to

978
00:52:31,280 --> 00:52:35,520
Speaker 1: take a deep breath, to take a chill pill um. Actually,

979
00:52:35,640 --> 00:52:39,600
Speaker 1: my wife's a Democrat, most of my family are Democrats,

980
00:52:39,680 --> 00:52:46,080
Speaker 1: and it just happens to come down to what is

981
00:52:46,200 --> 00:52:50,239
Speaker 1: more important to you. Is it more important to you

982
00:52:50,440 --> 00:52:57,200
Speaker 1: to raise a ruckus to try and make everybody thinks

983
00:52:57,239 --> 00:53:01,000
Speaker 1: that we're up on top, or is it more important

984
00:53:01,000 --> 00:53:06,160
Speaker 1: to you to come together, work together as a country

985
00:53:06,320 --> 00:53:09,959
Speaker 1: and try and make our country better. Yeah, I would

986
00:53:09,960 --> 00:53:14,440
Speaker 1: think Yeah. My concern right now, Josh is that I

987
00:53:14,480 --> 00:53:17,720
Speaker 1: think a lot of Democrats, even if Trump does things

988
00:53:17,760 --> 00:53:22,520
Speaker 1: that are obviously and demonstrably good for the country, let's

989
00:53:22,520 --> 00:53:24,759
Speaker 1: say that. I mean, one that that comes to mind

990
00:53:24,840 --> 00:53:29,399
Speaker 1: that's not rapidly partisan is lowering the corporate tax rate

991
00:53:30,200 --> 00:53:33,080
Speaker 1: that would have markedly good effects I believe, on the economy,

992
00:53:33,120 --> 00:53:37,960
Speaker 1: on economic growth, on unemployment. And people say, all the

993
00:53:38,000 --> 00:53:40,160
Speaker 1: unemployment rate is so low. Well, when you take into

994
00:53:40,160 --> 00:53:42,560
Speaker 1: account the huge numbers that have dropped out of the

995
00:53:42,600 --> 00:53:45,799
Speaker 1: labor force, as well as the labor force participation as

996
00:53:45,800 --> 00:53:49,040
Speaker 1: a percentage of the working age population in this country,

997
00:53:49,040 --> 00:53:52,239
Speaker 1: we we do have problems with with employment right now.

998
00:53:52,280 --> 00:53:55,080
Speaker 1: They're just masked by the way that we look at

999
00:53:55,080 --> 00:53:57,359
Speaker 1: the statistics and the way that people talk about this.

1000
00:53:57,440 --> 00:54:00,759
Speaker 1: And I think that's obviously for very political reasons. But

1001
00:54:00,760 --> 00:54:02,719
Speaker 1: but you know, the corporate tax rate goes down, great

1002
00:54:02,760 --> 00:54:04,840
Speaker 1: things happen in this country. Let's just assume that happens.

1003
00:54:05,239 --> 00:54:08,160
Speaker 1: My expectation is that most Democrats that I hear that

1004
00:54:08,200 --> 00:54:09,920
Speaker 1: are getting a lot of air time, whether it's on

1005
00:54:09,960 --> 00:54:12,560
Speaker 1: TV or that are writing in the major newspapers, They're

1006
00:54:12,600 --> 00:54:14,600
Speaker 1: still gonna say Trump's hitler. He's just hitler with a

1007
00:54:14,640 --> 00:54:19,600
Speaker 1: good hitler with a good tax policy. That's the point

1008
00:54:19,640 --> 00:54:23,600
Speaker 1: I'm trying to make. Regardless of what you do, you

1009
00:54:23,760 --> 00:54:29,160
Speaker 1: cannot do it alone. He needs support to do anything. Really,

1010
00:54:29,840 --> 00:54:33,000
Speaker 1: if you think about it. The president he has a

1011
00:54:33,000 --> 00:54:36,280
Speaker 1: lot of power, but he still needs support to do anything.

1012
00:54:36,880 --> 00:54:41,200
Speaker 1: If we're not willing to pay together, I don't care

1013
00:54:41,239 --> 00:54:45,439
Speaker 1: if it's a Republican president's president, the honest, I don't

1014
00:54:45,480 --> 00:54:49,920
Speaker 1: care if it's Green Party confidence. If we're not willing

1015
00:54:50,040 --> 00:54:58,000
Speaker 1: to pay together and work together as a unit, nothing Yeah, well,

1016
00:54:58,040 --> 00:55:00,600
Speaker 1: well again, Josh, you have the you have the best

1017
00:55:00,600 --> 00:55:02,560
Speaker 1: interests of the country at heart, and I think unfortunately

1018
00:55:03,360 --> 00:55:07,080
Speaker 1: right now, rapid partisanship is the order of the day.

1019
00:55:07,080 --> 00:55:09,480
Speaker 1: If the Democrat Party and they just they're so stuck

1020
00:55:09,480 --> 00:55:11,680
Speaker 1: in their Trump hatred that nothing else really matters. And

1021
00:55:11,719 --> 00:55:14,360
Speaker 1: even if even if it if it hurts the country,

1022
00:55:14,400 --> 00:55:16,239
Speaker 1: they're they're willing to put us all through that as

1023
00:55:16,280 --> 00:55:18,839
Speaker 1: long as it hurts the Trump administration the process. Josh

1024
00:55:18,880 --> 00:55:20,520
Speaker 1: from Ohio, great to have you on w h L.

1025
00:55:20,520 --> 00:55:25,480
Speaker 1: I appreciate it. You know that's I'd like to hear from.

1026
00:55:25,600 --> 00:55:29,680
Speaker 1: It would really restore my faith in the American Uh, well,

1027
00:55:29,680 --> 00:55:33,040
Speaker 1: not in the American electorate overall, but in the Democrat Party.

1028
00:55:33,400 --> 00:55:36,960
Speaker 1: And I'm friends with a lot of Democrats. Um, I

1029
00:55:37,000 --> 00:55:40,400
Speaker 1: live in a completely Democrat dominated city. I'd like to

1030
00:55:40,440 --> 00:55:42,520
Speaker 1: think that I can have a civil conversation with anybody

1031
00:55:42,560 --> 00:55:44,680
Speaker 1: about anything as long as they're willing to be civil,

1032
00:55:45,480 --> 00:55:48,120
Speaker 1: and I just wish we'd see more Democrats who willing

1033
00:55:48,160 --> 00:55:50,880
Speaker 1: to step forward and say, you know, we we really

1034
00:55:50,880 --> 00:55:53,520
Speaker 1: do need to stop with the Trump is hitler and

1035
00:55:54,080 --> 00:55:58,000
Speaker 1: Trump is a Kremlin stooge, and he's a trader and

1036
00:55:58,200 --> 00:56:01,319
Speaker 1: all this stuff that's out there. Trump administration is gonna

1037
00:56:01,360 --> 00:56:04,920
Speaker 1: make mistakes, and on this show, I'll be very quick

1038
00:56:04,960 --> 00:56:07,120
Speaker 1: to point out when he has made real mistakes and

1039
00:56:07,120 --> 00:56:10,000
Speaker 1: when things have gone badly. Um, I don't think that's

1040
00:56:10,000 --> 00:56:11,960
Speaker 1: ever been a problem. Look at what happened with Republicans

1041
00:56:11,960 --> 00:56:13,600
Speaker 1: and Bush and the Iraq War. A lot of them

1042
00:56:13,640 --> 00:56:15,680
Speaker 1: were very critical. I'm willing to step out and say

1043
00:56:15,680 --> 00:56:17,799
Speaker 1: all kinds of things about the administration. I want to

1044
00:56:17,800 --> 00:56:21,239
Speaker 1: look like things were going badly there. Uh, Democrats, it

1045
00:56:21,239 --> 00:56:24,440
Speaker 1: seems to me they just there's a lust for power

1046
00:56:24,520 --> 00:56:28,000
Speaker 1: that is insatiable, and it means that there's not much

1047
00:56:28,040 --> 00:56:31,279
Speaker 1: honesty when talking about the opposition, and it's it's disheartening,

1048
00:56:31,320 --> 00:56:33,200
Speaker 1: but it's all right. That's why you hang out with

1049
00:56:33,200 --> 00:56:35,879
Speaker 1: me in the Freedom Hunt. We all hearten each other.

1050
00:56:36,239 --> 00:56:37,839
Speaker 1: If that's a word, I think that's a word. Will

1051
00:56:37,880 --> 00:56:46,399
Speaker 1: be right back. Buck is back, everybody Bucks back. It's

1052
00:56:46,440 --> 00:56:49,759
Speaker 1: more of America. Now throw in your two cents one

1053
00:56:50,000 --> 00:56:53,919
Speaker 1: eight four four nine hundred buck. That's one eight four

1054
00:56:54,040 --> 00:57:00,600
Speaker 1: four nine d to eight to five. All seemed welcome

1055
00:57:00,680 --> 00:57:04,080
Speaker 1: back to the Freedom Hut. The headline here in the

1056
00:57:04,120 --> 00:57:07,680
Speaker 1: New York Times sets the stage for what is going

1057
00:57:07,719 --> 00:57:12,440
Speaker 1: to be quite a culture war battle. Trump is poised

1058
00:57:12,960 --> 00:57:17,280
Speaker 1: to remove protections on transgender students rights. The article says,

1059
00:57:18,240 --> 00:57:22,560
Speaker 1: now here's some background on this. Uh, the Trump administration

1060
00:57:22,880 --> 00:57:25,240
Speaker 1: has decided, and that was from earlier today, the Trump

1061
00:57:25,280 --> 00:57:30,480
Speaker 1: administration has decided to pull back. The guidance wasn't really

1062
00:57:30,560 --> 00:57:33,960
Speaker 1: legally binding, but it was guidance put out there under

1063
00:57:34,000 --> 00:57:38,400
Speaker 1: the Obama administration from the Department of Education on what

1064
00:57:38,520 --> 00:57:42,920
Speaker 1: should be done for transgender students, and the guidance from

1065
00:57:43,720 --> 00:57:46,360
Speaker 1: d O E, and I believe also from d O J.

1066
00:57:46,480 --> 00:57:49,040
Speaker 1: I think it came from both, is that transgender students

1067
00:57:49,920 --> 00:57:55,440
Speaker 1: should be allowed to use the bathroom that corresponds to

1068
00:57:55,520 --> 00:57:59,920
Speaker 1: their gender identity, which we are now told this is

1069
00:58:00,040 --> 00:58:04,080
Speaker 1: a recent phenomenon or a recent construct that gender and

1070
00:58:04,160 --> 00:58:08,520
Speaker 1: sex are different things. This is a new idea. It

1071
00:58:08,600 --> 00:58:13,440
Speaker 1: is now being pushed heavily by the progressive left. I

1072
00:58:13,480 --> 00:58:15,960
Speaker 1: have a friend who's a conservative columnist told me that

1073
00:58:16,040 --> 00:58:19,640
Speaker 1: some of the nastiest and most vicious things he's ever

1074
00:58:19,840 --> 00:58:22,880
Speaker 1: received in response to an article he wrote, had to

1075
00:58:22,920 --> 00:58:26,160
Speaker 1: do with this issue of transgender rights. And it's people

1076
00:58:26,160 --> 00:58:29,200
Speaker 1: who are not transgender who who think of themselves as

1077
00:58:29,520 --> 00:58:33,439
Speaker 1: civil rights heroes because they want to make sure that

1078
00:58:34,480 --> 00:58:37,760
Speaker 1: young people in this case we're talking about young teenagers

1079
00:58:38,800 --> 00:58:42,200
Speaker 1: can can make a choice. And it is a choice

1080
00:58:42,240 --> 00:58:46,280
Speaker 1: that is based purely in psychology. There's no, uh, there's

1081
00:58:46,320 --> 00:58:50,240
Speaker 1: no medical basis for this. Certainly, they can't choose, I mean,

1082
00:58:50,240 --> 00:58:52,560
Speaker 1: they can't change sex. In fact, that the notion of

1083
00:58:52,600 --> 00:58:56,480
Speaker 1: a sex change operation is really a false description. You

1084
00:58:56,520 --> 00:58:59,720
Speaker 1: have xx chromosomes for male x Y. I'm sorry, x

1085
00:58:59,880 --> 00:59:02,280
Speaker 1: X crimoson for female, x y crimoson for male. Pardon me.

1086
00:59:02,560 --> 00:59:05,160
Speaker 1: So it happens when I stray into the science here. Um,

1087
00:59:05,200 --> 00:59:08,920
Speaker 1: But nonetheless it holds pretty clear and pretty true, and

1088
00:59:08,960 --> 00:59:12,200
Speaker 1: it's obvious to most of us. I would think that

1089
00:59:12,240 --> 00:59:14,320
Speaker 1: there are differences between men and women. These are these

1090
00:59:14,360 --> 00:59:19,800
Speaker 1: are real differences, and the Left is absolutely dedicated to

1091
00:59:19,920 --> 00:59:24,240
Speaker 1: eliminating this distinction. So Obama late in his late in

1092
00:59:24,240 --> 00:59:28,680
Speaker 1: the second term past this guidance, and it became an

1093
00:59:28,680 --> 00:59:32,120
Speaker 1: issue when or it came into the forefront of the

1094
00:59:32,120 --> 00:59:36,360
Speaker 1: new cycle when North Carolina past its bathroom bill that said, no,

1095
00:59:36,520 --> 00:59:38,600
Speaker 1: you have to you actually have to use the bathroom.

1096
00:59:38,640 --> 00:59:42,000
Speaker 1: The corresponds to the gender that is on your birth certificate.

1097
00:59:42,760 --> 00:59:46,120
Speaker 1: So North Carolina as a state passed this bill that

1098
00:59:46,520 --> 00:59:48,160
Speaker 1: took all the guesswork out of it and it was

1099
00:59:48,200 --> 00:59:52,360
Speaker 1: no longer a well, what what gender do I feel

1100
00:59:52,480 --> 00:59:55,880
Speaker 1: like I am? And keep in mind, the obaministration also

1101
00:59:56,680 --> 01:00:01,680
Speaker 1: was supportive of the proposition that you couldn't even make

1102
01:00:01,720 --> 01:00:04,640
Speaker 1: a separate accommodation for a transgender student. It had to

1103
01:00:04,720 --> 01:00:08,280
Speaker 1: be it would be discriminatory, based on where Obama came

1104
01:00:08,320 --> 01:00:11,800
Speaker 1: down on this issue, would be discriminatory for a school

1105
01:00:12,840 --> 01:00:17,480
Speaker 1: to set up a separate prehaps you know, individual unisex

1106
01:00:17,680 --> 01:00:22,400
Speaker 1: changing and lavatory facility. You had to if a thirteen

1107
01:00:22,480 --> 01:00:25,840
Speaker 1: year old boy thought that he or feels that he

1108
01:00:26,000 --> 01:00:27,720
Speaker 1: is you know, this is the language you're supposed to

1109
01:00:27,800 --> 01:00:30,840
Speaker 1: use now, even though feeling and thoughts are the same things, right,

1110
01:00:30,880 --> 01:00:32,960
Speaker 1: This is you think you're a you think you're in

1111
01:00:32,960 --> 01:00:36,000
Speaker 1: the wrong body. This is what gender identity disorder is

1112
01:00:36,880 --> 01:00:41,200
Speaker 1: UM and the obaministration, saying no, if if a thirteen

1113
01:00:41,240 --> 01:00:46,280
Speaker 1: year old boy believes he's a girl and wants to

1114
01:00:46,400 --> 01:00:50,840
Speaker 1: use the girl's locker room and girls bathroom facilities, uh,

1115
01:00:51,080 --> 01:00:55,560
Speaker 1: he should be able to do so. And anything else,

1116
01:00:55,680 --> 01:00:59,080
Speaker 1: meaning any separate accommodation, made his discriminatory unacceptable. And the

1117
01:00:59,120 --> 01:01:02,919
Speaker 1: administration even went to the level of threatening to pull

1118
01:01:03,000 --> 01:01:07,720
Speaker 1: back education funds Department of Education funds from any school

1119
01:01:07,800 --> 01:01:11,200
Speaker 1: that did not go forward with this federal guidance. That's

1120
01:01:11,280 --> 01:01:13,880
Speaker 1: quite a bit of guidance when you're threatening federal funds

1121
01:01:13,960 --> 01:01:16,200
Speaker 1: to be withdrawn if someone doesn't go through with this.

1122
01:01:17,400 --> 01:01:21,080
Speaker 1: And and there's there's a lot that comes into this debate.

1123
01:01:21,120 --> 01:01:24,000
Speaker 1: Of course. Now I think first and foremost, a lot

1124
01:01:24,040 --> 01:01:26,280
Speaker 1: of people think to themselves, do we really we have

1125
01:01:26,320 --> 01:01:29,240
Speaker 1: to have another national conversation on this. This is not

1126
01:01:29,320 --> 01:01:32,560
Speaker 1: now the the transgender community, which I have to look up.

1127
01:01:32,600 --> 01:01:35,200
Speaker 1: I don't know what the size of it is estimated

1128
01:01:35,240 --> 01:01:37,760
Speaker 1: to be in this country, but it is definitely a

1129
01:01:38,640 --> 01:01:41,560
Speaker 1: very small minority. Uh. That's not to say that a

1130
01:01:41,640 --> 01:01:44,560
Speaker 1: very small minority shouldn't have rights and be fully respected.

1131
01:01:44,560 --> 01:01:47,080
Speaker 1: It's just here we are, once again having a conversation

1132
01:01:47,120 --> 01:01:51,120
Speaker 1: about an issue that affects very few Americans in their

1133
01:01:51,200 --> 01:01:53,360
Speaker 1: day to day lives, and a tremendous amount of media

1134
01:01:53,400 --> 01:01:56,040
Speaker 1: resources and time and government resources in time will be

1135
01:01:56,680 --> 01:01:59,800
Speaker 1: expanded on this issue. Um. And I can tell you

1136
01:01:59,800 --> 01:02:05,240
Speaker 1: it's actually uh. I have some transgender listeners on radio,

1137
01:02:05,800 --> 01:02:08,040
Speaker 1: so people who are transgender listened to the show, and

1138
01:02:08,080 --> 01:02:10,720
Speaker 1: I'm very pleased that they do, and they think that

1139
01:02:10,800 --> 01:02:14,640
Speaker 1: I am uh fair in my discussion. My discussions of

1140
01:02:14,680 --> 01:02:17,000
Speaker 1: these issues, a lot of people will get very fire

1141
01:02:17,000 --> 01:02:19,240
Speaker 1: and brimstone while on one side or the other on this,

1142
01:02:19,320 --> 01:02:22,880
Speaker 1: and I try to approach this from a cerebral perspective

1143
01:02:23,200 --> 01:02:25,360
Speaker 1: as much as possible and not not allow this to

1144
01:02:25,400 --> 01:02:30,680
Speaker 1: become an overly emotionalized issue. Um. But of course that's

1145
01:02:30,680 --> 01:02:35,200
Speaker 1: what ends up happening. It becomes very very tense, very fiery,

1146
01:02:35,360 --> 01:02:37,600
Speaker 1: and it becomes a stand in for on the left,

1147
01:02:37,960 --> 01:02:39,880
Speaker 1: are you a good person? Are you a decent person?

1148
01:02:39,920 --> 01:02:43,640
Speaker 1: Do you care about people? Are are this is? This

1149
01:02:43,720 --> 01:02:46,000
Speaker 1: is either virtue signaling if you're on the right looking

1150
01:02:46,000 --> 01:02:48,880
Speaker 1: at this, or on the left it's just a manifestation

1151
01:02:49,160 --> 01:02:51,919
Speaker 1: of being a kind and thoughtful person. And of course

1152
01:02:51,960 --> 01:02:54,520
Speaker 1: on the right, the tendency is to look at this

1153
01:02:54,560 --> 01:02:57,440
Speaker 1: and say men are rather you know, boys or boys,

1154
01:02:57,440 --> 01:03:00,240
Speaker 1: men or men, women or women? Girls are girls. They

1155
01:03:00,320 --> 01:03:04,040
Speaker 1: is bizarre and will lead to very strange consequences. So

1156
01:03:04,320 --> 01:03:06,400
Speaker 1: let me take it. I want to take it into

1157
01:03:06,440 --> 01:03:08,800
Speaker 1: the into the second order effects the consequences of this

1158
01:03:08,840 --> 01:03:11,280
Speaker 1: in the second First, let me also say that the

1159
01:03:11,640 --> 01:03:16,760
Speaker 1: Trump administration, which there's reportedly some dispute, now, there has

1160
01:03:16,800 --> 01:03:20,720
Speaker 1: been some dispute between Department of Education Secretary Betsy de

1161
01:03:20,840 --> 01:03:26,840
Speaker 1: Vos and UH Attorney General Jeff Sessions on this issue.

1162
01:03:26,880 --> 01:03:30,480
Speaker 1: Sessions was adamant, No, this goes back to the States.

1163
01:03:30,920 --> 01:03:33,600
Speaker 1: Isn't interesting. By the way, It's not we're gonna tell

1164
01:03:33,760 --> 01:03:35,960
Speaker 1: We're gonna tell states that they have to voice the

1165
01:03:36,000 --> 01:03:38,360
Speaker 1: boys room, girls the girl's room. It's we're gonna send

1166
01:03:38,360 --> 01:03:43,240
Speaker 1: this back to the States. That's the Sessions position on this. DeVos,

1167
01:03:43,360 --> 01:03:46,400
Speaker 1: who has been while she's hated by the left because

1168
01:03:46,400 --> 01:03:49,160
Speaker 1: she's for school choice, and you've got Corey Booker, who

1169
01:03:49,280 --> 01:03:51,200
Speaker 1: is loved by the left, and it's probably gonna run

1170
01:03:51,240 --> 01:03:54,000
Speaker 1: for president recently, even a few years ago, was giving

1171
01:03:54,000 --> 01:03:56,400
Speaker 1: speeches about how great school choice was. But Betsy DeVoss

1172
01:03:56,440 --> 01:03:58,520
Speaker 1: hated by the left because of school choice. Now she's

1173
01:03:58,640 --> 01:04:01,440
Speaker 1: Education Secretary, has to have a detective detail with her

1174
01:04:01,920 --> 01:04:05,880
Speaker 1: because of all the lunatics running around, all the progressive

1175
01:04:06,040 --> 01:04:10,120
Speaker 1: activist types who just you know, so terrified at the

1176
01:04:10,160 --> 01:04:12,800
Speaker 1: notion of Betsy Devoz Education a woman who's like a

1177
01:04:12,880 --> 01:04:15,200
Speaker 1: kindly billionaire who wants to help children get into better

1178
01:04:15,360 --> 01:04:19,240
Speaker 1: have better educations. Ah horrible. She's also an advocate for

1179
01:04:19,400 --> 01:04:22,440
Speaker 1: gay rights, at least it's reported quietly. She's been an

1180
01:04:22,440 --> 01:04:25,920
Speaker 1: advocate for gay rights for a long time, and she

1181
01:04:26,120 --> 01:04:30,160
Speaker 1: it seems also has sympathy for transgender rights and transgender students.

1182
01:04:30,160 --> 01:04:32,080
Speaker 1: Based on this reporting, I don't know if it's true.

1183
01:04:32,240 --> 01:04:33,640
Speaker 1: I'm not in the White House, but I can only

1184
01:04:33,680 --> 01:04:36,439
Speaker 1: go on what our White House reporters are passing along

1185
01:04:36,480 --> 01:04:37,600
Speaker 1: to us, and I don't know. I think that some

1186
01:04:37,680 --> 01:04:42,640
Speaker 1: of it is suspect, to be sure, but nonetheless, so

1187
01:04:42,680 --> 01:04:44,200
Speaker 1: that's what's going on on the political side of this.

1188
01:04:44,280 --> 01:04:46,760
Speaker 1: There's a little dispute, and once again it goes to

1189
01:04:46,840 --> 01:04:51,560
Speaker 1: the overall narrative of a White House in disarray. That's

1190
01:04:51,600 --> 01:04:53,800
Speaker 1: what we're told, White House and disarrace. You've got divorce

1191
01:04:53,920 --> 01:04:58,320
Speaker 1: at Education and sessions at d J and the Justice Department.

1192
01:04:59,480 --> 01:05:02,000
Speaker 1: Were our doing on this, and finally it came down

1193
01:05:02,040 --> 01:05:04,560
Speaker 1: that they have agreed that they will pull this guidance

1194
01:05:05,360 --> 01:05:09,400
Speaker 1: um they which is again not legally binding, but okay.

1195
01:05:09,560 --> 01:05:12,000
Speaker 1: Then we get to the other part of this, which

1196
01:05:12,120 --> 01:05:16,320
Speaker 1: is I think all of us are very troubled by it.

1197
01:05:16,360 --> 01:05:18,800
Speaker 1: And you probably have your own memories of this. If

1198
01:05:18,800 --> 01:05:23,200
Speaker 1: you weren't bullied yourself, you most likely at some point

1199
01:05:23,200 --> 01:05:26,800
Speaker 1: in school saw bullying. And it is it is mean.

1200
01:05:26,960 --> 01:05:31,760
Speaker 1: I mean the way that fourteen year olds feel, maybe

1201
01:05:31,760 --> 01:05:34,960
Speaker 1: in particular, but certainly they fall into this category, can

1202
01:05:35,200 --> 01:05:42,160
Speaker 1: just pick on other kids relentlessly, remorselessly and really with

1203
01:05:42,200 --> 01:05:45,960
Speaker 1: cruelty and malice. Is is troubling and it's something that

1204
01:05:46,000 --> 01:05:50,160
Speaker 1: we should all always in our capacities as parents or

1205
01:05:50,360 --> 01:05:53,880
Speaker 1: teachers or just anybody who can lend a helping hand.

1206
01:05:54,400 --> 01:05:56,320
Speaker 1: You you need to do everything you can and make

1207
01:05:56,360 --> 01:05:58,200
Speaker 1: sure that your kids are everything they can to prevent

1208
01:05:58,200 --> 01:05:59,800
Speaker 1: that kind of stuff, because it is really it is.

1209
01:06:00,240 --> 01:06:03,480
Speaker 1: It stays with people. I know adults who if you

1210
01:06:03,520 --> 01:06:07,680
Speaker 1: talk to them about bullying that they suffered as as teenagers,

1211
01:06:07,680 --> 01:06:10,760
Speaker 1: they'll they'll tear up. Still, it is. It is very painful,

1212
01:06:10,800 --> 01:06:12,240
Speaker 1: and I know we all like to think of ourselves

1213
01:06:12,320 --> 01:06:14,560
Speaker 1: as being you know, solid as a rock and like

1214
01:06:14,600 --> 01:06:17,000
Speaker 1: nothing can shake us now in our adulthood. And unless

1215
01:06:17,120 --> 01:06:19,480
Speaker 1: you know it's a you know, the the the the

1216
01:06:19,600 --> 01:06:21,680
Speaker 1: sad end of a John Wayne movie, or the passing

1217
01:06:21,680 --> 01:06:25,040
Speaker 1: of a beloved family pet. You know, no man tears um.

1218
01:06:25,160 --> 01:06:28,040
Speaker 1: But you know that's that's actually not the case when

1219
01:06:28,080 --> 01:06:30,040
Speaker 1: you think back to your childhood. I think that there's

1220
01:06:30,080 --> 01:06:33,800
Speaker 1: a lot of pain that people repress when it comes

1221
01:06:33,800 --> 01:06:36,040
Speaker 1: to bullying, even if they didn't suffer it themselves. I

1222
01:06:36,480 --> 01:06:39,680
Speaker 1: wasn't bullied, but I saw some bullying. I actually will

1223
01:06:39,720 --> 01:06:43,320
Speaker 1: tell you that I intervened in some cases of bullying

1224
01:06:43,920 --> 01:06:47,440
Speaker 1: with with with real effect and impact. I'm proud of

1225
01:06:47,480 --> 01:06:51,080
Speaker 1: that to stop it. But you know the times when

1226
01:06:51,080 --> 01:06:52,959
Speaker 1: I saw it and I wasn't in a position maybe

1227
01:06:52,960 --> 01:06:54,840
Speaker 1: I wasn't big and strong enough to stop the person.

1228
01:06:55,080 --> 01:06:57,960
Speaker 1: You know that that still stays with me. So bullying

1229
01:06:58,080 --> 01:07:01,640
Speaker 1: is terrible. And uh, if a kid is going through

1230
01:07:02,400 --> 01:07:06,920
Speaker 1: the obviously very difficult process of dealing with the belief

1231
01:07:07,200 --> 01:07:09,880
Speaker 1: or the reality or however we want to put in

1232
01:07:09,920 --> 01:07:13,080
Speaker 1: contact of transgenderism, there's no excuse me mean to somebody.

1233
01:07:13,480 --> 01:07:15,680
Speaker 1: You know, it's no excuse to treat somebody poorly, and

1234
01:07:15,720 --> 01:07:17,919
Speaker 1: we all know that, but I just because I feel

1235
01:07:17,920 --> 01:07:20,280
Speaker 1: like when the left addresses it, it's always, well, you're

1236
01:07:20,320 --> 01:07:22,680
Speaker 1: just you're leaving these kids high and dry to get bullied,

1237
01:07:23,040 --> 01:07:25,520
Speaker 1: whether they think they're male, the transition to female or

1238
01:07:25,520 --> 01:07:27,240
Speaker 1: the other way around. You you're gonna allow people to

1239
01:07:27,240 --> 01:07:29,280
Speaker 1: be mean to them. And that's that's not the case

1240
01:07:29,320 --> 01:07:31,760
Speaker 1: at all. All All the anti bullying measures and guidance that

1241
01:07:31,840 --> 01:07:34,600
Speaker 1: the federal government has stay in place. This doesn't touch

1242
01:07:34,640 --> 01:07:37,720
Speaker 1: any of that. And that's also let's be honest, it's

1243
01:07:37,760 --> 01:07:41,200
Speaker 1: it's not the government's job to police bullying. Really, it's

1244
01:07:41,200 --> 01:07:44,400
Speaker 1: our job, all of us. Um. But now that now

1245
01:07:44,400 --> 01:07:46,840
Speaker 1: that we've set that table, I want to talk about

1246
01:07:47,040 --> 01:07:50,600
Speaker 1: what it means when we erase gender as a reality,

1247
01:07:50,920 --> 01:07:53,120
Speaker 1: when all of a sudden, male is female and female

1248
01:07:53,160 --> 01:07:57,640
Speaker 1: is male just dependent upon individual choice and I I

1249
01:07:57,880 --> 01:07:59,600
Speaker 1: people can tell me that it's not a choice, but

1250
01:07:59,800 --> 01:08:02,720
Speaker 1: I don't you know when you're you're gonna say that

1251
01:08:03,080 --> 01:08:05,480
Speaker 1: what now? This is now we're being told that gender

1252
01:08:05,520 --> 01:08:09,440
Speaker 1: identity disorder is genetic or people are I I don't,

1253
01:08:09,560 --> 01:08:12,760
Speaker 1: I don't know. This is we're on the fringes of

1254
01:08:12,800 --> 01:08:16,040
Speaker 1: the known scientific literature at that point. But I even

1255
01:08:16,600 --> 01:08:18,000
Speaker 1: we don't have to get into that. I want to

1256
01:08:18,040 --> 01:08:19,839
Speaker 1: talk about what it means as a matter of policy

1257
01:08:20,040 --> 01:08:23,200
Speaker 1: for these schools. So now we can have people who

1258
01:08:23,200 --> 01:08:27,400
Speaker 1: are biologically male on female sports teams. You brought that

1259
01:08:27,479 --> 01:08:29,439
Speaker 1: up five years ago, and you'd be told that's come on,

1260
01:08:29,600 --> 01:08:32,320
Speaker 1: that's not what this is about. You're just making crazy

1261
01:08:32,360 --> 01:08:36,800
Speaker 1: examples too so to allow the continued bullying of transgender students. No,

1262
01:08:36,960 --> 01:08:40,439
Speaker 1: that is happening. In fact, I remember I've brought up

1263
01:08:40,439 --> 01:08:43,000
Speaker 1: examples in recent years because I've been doing this media

1264
01:08:43,040 --> 01:08:45,479
Speaker 1: thing now for almost six years, where I said, you

1265
01:08:45,479 --> 01:08:48,400
Speaker 1: know what happens when someone decides that their transgender and

1266
01:08:48,680 --> 01:08:51,240
Speaker 1: now you're gonna have a male and a female prison facility.

1267
01:08:51,439 --> 01:08:55,280
Speaker 1: The answer is yes, now that happens. What happens when

1268
01:08:55,280 --> 01:08:58,679
Speaker 1: someone who's male and says he's transitioning to female wants

1269
01:08:58,720 --> 01:09:02,200
Speaker 1: to compete in the Olympics or or wants to fight

1270
01:09:02,320 --> 01:09:05,559
Speaker 1: in mm A Mixed Martial Arts That buck, that's crazy.

1271
01:09:05,600 --> 01:09:08,559
Speaker 1: That can't happen. Now someone's life is in jeopardy because

1272
01:09:08,600 --> 01:09:13,439
Speaker 1: male physiology is different from female physiology. This also has

1273
01:09:13,479 --> 01:09:16,360
Speaker 1: come out. Now they've done the most exhaustive study ever

1274
01:09:16,520 --> 01:09:19,600
Speaker 1: of male and female recruits in the Marines. Guess what

1275
01:09:19,720 --> 01:09:22,600
Speaker 1: the study show. The Pentagon was unhappy with this that

1276
01:09:22,680 --> 01:09:27,520
Speaker 1: in every category of physical ability and fitness, males dramatically

1277
01:09:27,560 --> 01:09:32,679
Speaker 1: outperformed females in all combat and tactical fields. Surprised anybody,

1278
01:09:32,680 --> 01:09:35,040
Speaker 1: I mean, is this a surprise to us? But I

1279
01:09:35,080 --> 01:09:37,760
Speaker 1: bring up cases like the mm A because now mixed

1280
01:09:37,760 --> 01:09:43,200
Speaker 1: Martial arts there is a transgender m m A fighter. Well,

1281
01:09:43,600 --> 01:09:46,080
Speaker 1: so now we're going to ignore the biological realities of

1282
01:09:46,120 --> 01:09:49,680
Speaker 1: sex because we are all supposed to give way to

1283
01:09:49,840 --> 01:09:53,720
Speaker 1: the gender realities that are a new progressive construct. I

1284
01:09:53,720 --> 01:09:55,960
Speaker 1: don't think so. We're gonna hit this in just a

1285
01:09:55,960 --> 01:10:02,800
Speaker 1: few minutes, team, we'll be right back. What do you

1286
01:10:02,800 --> 01:10:07,560
Speaker 1: think about this bathroom bill feud, the transgender student guidance,

1287
01:10:07,680 --> 01:10:11,880
Speaker 1: the administration pulling it back and allowing states to make

1288
01:10:11,920 --> 01:10:15,720
Speaker 1: their own determinations about how schools should go forward on this?

1289
01:10:15,800 --> 01:10:18,960
Speaker 1: Let me know that and anything else we've talked about today, immigration,

1290
01:10:19,040 --> 01:10:22,120
Speaker 1: you name it, all the big subjects tonight eight four

1291
01:10:22,200 --> 01:10:25,800
Speaker 1: four nine zero zero to eight to five. It's eight

1292
01:10:25,840 --> 01:10:30,920
Speaker 1: four four buck. So here's a here's a story up

1293
01:10:30,960 --> 01:10:35,479
Speaker 1: on bright part dot com covered elsewhere as well. From No,

1294
01:10:35,640 --> 01:10:38,400
Speaker 1: this is just from yesterday or from the last couple

1295
01:10:38,439 --> 01:10:40,280
Speaker 1: of days. This is a story that just broke this week.

1296
01:10:41,240 --> 01:10:45,919
Speaker 1: A North Texas transgender high school wrestler transitioning from female

1297
01:10:45,960 --> 01:10:50,799
Speaker 1: to male one a girl's regional championship when the female

1298
01:10:50,880 --> 01:10:56,200
Speaker 1: opponent UH four for the match over the weekend. Um.

1299
01:10:56,360 --> 01:11:00,000
Speaker 1: So here we have someone who is trent well, I mean,

1300
01:11:00,000 --> 01:11:02,920
Speaker 1: and she's actually at least she's female wrestling against females

1301
01:11:02,920 --> 01:11:06,880
Speaker 1: as I see here. Um, interesting, let me see what

1302
01:11:06,960 --> 01:11:12,240
Speaker 1: the what the concern is here? Oh uh he arged

1303
01:11:12,280 --> 01:11:18,240
Speaker 1: the league to suspend this student, uh Mac Begs because

1304
01:11:18,280 --> 01:11:22,280
Speaker 1: Begs takes testosterone. That's I was like, wait, well, female

1305
01:11:22,320 --> 01:11:25,000
Speaker 1: wrestling females, Like why is this getting so much attention? Well,

1306
01:11:25,000 --> 01:11:29,479
Speaker 1: as she's taking testosterone, which is a performance enhancer, it

1307
01:11:29,479 --> 01:11:33,639
Speaker 1: adds muscle mass. That's that's what happens when you do this. Um.

1308
01:11:33,800 --> 01:11:37,840
Speaker 1: And so this is in a sense like taking human

1309
01:11:37,880 --> 01:11:42,280
Speaker 1: growth hormone or a steroid. So that's this is a

1310
01:11:42,320 --> 01:11:44,280
Speaker 1: slightly different case than what I was expecting when I

1311
01:11:44,320 --> 01:11:46,560
Speaker 1: saw this pop up up on social media. Just I

1312
01:11:46,600 --> 01:11:49,600
Speaker 1: just saw this a couple of minutes ago. Um, but

1313
01:11:49,720 --> 01:11:52,479
Speaker 1: here you have it, somebody who's now transitioning and taking

1314
01:11:52,840 --> 01:11:56,240
Speaker 1: what is a very effective performance enhancing drug because of

1315
01:11:56,280 --> 01:12:01,559
Speaker 1: again transitioning a transgender student. This is a seventeen year

1316
01:12:01,560 --> 01:12:04,960
Speaker 1: old who's taking testosterone to go from female or you

1317
01:12:04,960 --> 01:12:07,879
Speaker 1: can never really go from that's actually not scientifically possible.

1318
01:12:07,920 --> 01:12:11,000
Speaker 1: By the way, even even the scientists who are the

1319
01:12:11,280 --> 01:12:16,200
Speaker 1: doctors who will say use the pronoun that the person prefers,

1320
01:12:16,240 --> 01:12:18,639
Speaker 1: not the pronoun of of their sex, use the pronoun

1321
01:12:18,680 --> 01:12:21,000
Speaker 1: of their gender identity. So even the doctors that they'll

1322
01:12:21,000 --> 01:12:23,479
Speaker 1: put on TV and the psychotherapists and others who will

1323
01:12:23,520 --> 01:12:26,000
Speaker 1: take that position will not tell you that you can

1324
01:12:26,120 --> 01:12:29,439
Speaker 1: change gender because you can't. It's not actually possible, period,

1325
01:12:29,439 --> 01:12:33,559
Speaker 1: full stop. Um. But so you have issues like this

1326
01:12:33,640 --> 01:12:38,240
Speaker 1: that come up. But then there's uh, then there's fallon Fox.

1327
01:12:38,280 --> 01:12:41,959
Speaker 1: Who is this m m a openly transgender mm A athlete,

1328
01:12:42,840 --> 01:12:47,519
Speaker 1: And you can read these pieces about how uh this

1329
01:12:47,600 --> 01:12:53,160
Speaker 1: individual is discriminated against. Well, okay, I mean, now you've

1330
01:12:53,160 --> 01:12:58,040
Speaker 1: got somebody who's biologically male in a bare knuckle brawl.

1331
01:12:58,680 --> 01:13:00,920
Speaker 1: I know m m A is. These are elite athletes

1332
01:13:00,920 --> 01:13:04,160
Speaker 1: that are but this is a fight in a fight

1333
01:13:04,320 --> 01:13:09,240
Speaker 1: with a female with a biological female. But people are

1334
01:13:09,439 --> 01:13:12,519
Speaker 1: are making that, they're making that concession even they're putting

1335
01:13:12,520 --> 01:13:15,320
Speaker 1: women in real harm because this is how crazy gets

1336
01:13:15,320 --> 01:13:18,280
Speaker 1: with progressives now, I guess they want to believe that

1337
01:13:18,400 --> 01:13:22,160
Speaker 1: male and female physiology aren't different, and that men don't

1338
01:13:22,160 --> 01:13:27,800
Speaker 1: tend to have uh different musculature, because look, a lot

1339
01:13:27,840 --> 01:13:30,439
Speaker 1: of this comes down to chemistry. A lot of our

1340
01:13:30,680 --> 01:13:33,759
Speaker 1: builds as individuals comes down to genetics and the chemistry

1341
01:13:33,760 --> 01:13:37,559
Speaker 1: that comes from genetics, that's how we are physically defined.

1342
01:13:38,720 --> 01:13:41,680
Speaker 1: But the left throws all this stuff out because the

1343
01:13:41,680 --> 01:13:45,439
Speaker 1: the they must bow the altar of political correctness, and

1344
01:13:45,640 --> 01:13:49,599
Speaker 1: they've run out of great civil rights crusades at this point,

1345
01:13:50,000 --> 01:13:52,800
Speaker 1: at least in a legal sense, there's not there's not many.

1346
01:13:52,840 --> 01:13:56,559
Speaker 1: There aren't many laws that are really seeking to have changed. Here.

1347
01:13:57,120 --> 01:13:59,800
Speaker 1: Gay marriage now, because of Supreme Court, is the law

1348
01:14:00,320 --> 01:14:02,400
Speaker 1: of the land. If you've got people like Betsy Devas

1349
01:14:02,560 --> 01:14:04,679
Speaker 1: in the administration who support of gay marriage. And here's

1350
01:14:04,720 --> 01:14:08,519
Speaker 1: what's really interesting, Donald Trump is supportive of gay marriage.

1351
01:14:08,640 --> 01:14:13,040
Speaker 1: Donald Trump at this point in his presidency is more

1352
01:14:13,160 --> 01:14:19,680
Speaker 1: pro gay marriage than Obama was until his what second term.

1353
01:14:19,680 --> 01:14:22,679
Speaker 1: But Trump gets no credit for that whatsoever. It was like, oh, Buck,

1354
01:14:22,720 --> 01:14:25,160
Speaker 1: that's because the law has changed. Yeah, but people are

1355
01:14:25,160 --> 01:14:29,040
Speaker 1: treating him like he's an anti an anti gay president.

1356
01:14:29,160 --> 01:14:31,000
Speaker 1: I've even heard members of the the gay community like, oh,

1357
01:14:31,000 --> 01:14:34,000
Speaker 1: he's so anti gay. He's been very pro gay in

1358
01:14:34,040 --> 01:14:38,400
Speaker 1: his statements on the campaign trail, pro gay marriage, but

1359
01:14:39,280 --> 01:14:41,679
Speaker 1: transgender rights. This is where this is now the wedge

1360
01:14:41,680 --> 01:14:43,439
Speaker 1: between left and right. This is where they're going to

1361
01:14:43,479 --> 01:14:47,679
Speaker 1: try to pull us apart and engage in all kinds

1362
01:14:47,680 --> 01:14:50,280
Speaker 1: of social engineering and virtue signaling and everything else. But

1363
01:14:51,040 --> 01:14:54,280
Speaker 1: here's the real, basic truth that the left can escape.

1364
01:14:55,200 --> 01:14:58,720
Speaker 1: There are differences, biological differences between male and female, and

1365
01:14:58,800 --> 01:15:05,920
Speaker 1: you know what, you can't change them, Buck Sexton. With

1366
01:15:06,000 --> 01:15:09,080
Speaker 1: America now where there is always something to talk about

1367
01:15:09,200 --> 01:15:11,599
Speaker 1: where you can trade opinions with Buck, I'm not sure

1368
01:15:11,640 --> 01:15:15,200
Speaker 1: you'll win though. Just call eight four four nine hundred Buck.

1369
01:15:15,479 --> 01:15:19,080
Speaker 1: That's eight four four nine hundred to eight to five.

1370
01:15:20,240 --> 01:15:23,920
Speaker 1: All right, Buck, you're on all right team. Welcome back

1371
01:15:23,920 --> 01:15:26,120
Speaker 1: to the Freedom Hut. Something that we do here and

1372
01:15:26,160 --> 01:15:29,839
Speaker 1: we'll be doing more often going forward, or deep dives

1373
01:15:29,920 --> 01:15:33,880
Speaker 1: into national security issues. As I've told you before. To

1374
01:15:33,920 --> 01:15:36,200
Speaker 1: those of you who are new to listening to me,

1375
01:15:36,320 --> 01:15:38,759
Speaker 1: on the radio. I'm a former CI officer, are served

1376
01:15:38,760 --> 01:15:42,720
Speaker 1: in Iraq and Afghanistan with the agency. Also work for

1377
01:15:42,720 --> 01:15:45,760
Speaker 1: the m I p D Intelligence Division for counter terrorism. UH,

1378
01:15:45,760 --> 01:15:49,160
Speaker 1: and so I also UH, I have some personal experience

1379
01:15:49,200 --> 01:15:52,880
Speaker 1: with these issues, and I know who the best analysts

1380
01:15:52,960 --> 01:15:55,720
Speaker 1: on the various theaters and on on these different national

1381
01:15:55,720 --> 01:15:58,880
Speaker 1: security issues are. And one of them is joining US now.

1382
01:15:58,880 --> 01:16:01,120
Speaker 1: And he's a friend of mine in addition, so you

1383
01:16:01,120 --> 01:16:03,360
Speaker 1: can take that as either good or bad judgment, depending

1384
01:16:03,320 --> 01:16:06,000
Speaker 1: on what you think. But Sean Parnell joins US now.

1385
01:16:06,040 --> 01:16:08,599
Speaker 1: He's a former U. S. Army Airborne Ranger. He served

1386
01:16:08,600 --> 01:16:11,200
Speaker 1: in the tenth Mountain Division for six years. He received

1387
01:16:11,200 --> 01:16:14,160
Speaker 1: two Bronze Stars, one for Valor and the Purple Heart.

1388
01:16:14,600 --> 01:16:20,280
Speaker 1: He's also a New York Times bestselling author of Outlaw, Platoon, Heroes, Renegades, Infidels,

1389
01:16:20,320 --> 01:16:24,400
Speaker 1: and the Brotherhood of War in Afghanistan. Sean Parnell, great

1390
01:16:24,400 --> 01:16:27,719
Speaker 1: to have you, sir, buck it is UH. It's awesome

1391
01:16:27,760 --> 01:16:30,080
Speaker 1: to be on the new show. And that intro I

1392
01:16:30,120 --> 01:16:32,040
Speaker 1: think makes you sound a lot smarter than I am.

1393
01:16:32,160 --> 01:16:34,479
Speaker 1: And I don't think I'm smarter than you on this stuff,

1394
01:16:34,520 --> 01:16:38,120
Speaker 1: but a few people are. But I'll tell you what, man,

1395
01:16:38,160 --> 01:16:40,800
Speaker 1: it's great to be back in the freedom out with you.

1396
01:16:41,439 --> 01:16:43,240
Speaker 1: Thank you. Man. Well it's not the it's not the

1397
01:16:43,280 --> 01:16:45,640
Speaker 1: same without you, buddy, So I appreciate you being here

1398
01:16:45,680 --> 01:16:48,120
Speaker 1: with us. So let's let's get into this a little bit.

1399
01:16:48,600 --> 01:16:53,040
Speaker 1: You've got a the U. S. Commander in Afghanistan recently,

1400
01:16:53,040 --> 01:16:56,080
Speaker 1: and I was shocked at how little attention this god.

1401
01:16:56,120 --> 01:16:58,439
Speaker 1: I mean, it was on the Fox News website for

1402
01:16:58,479 --> 01:17:01,200
Speaker 1: a little bit as the main store on a Friday afternoon,

1403
01:17:01,240 --> 01:17:04,080
Speaker 1: but then it faded away quickly. And you've got the U. S.

1404
01:17:04,120 --> 01:17:08,480
Speaker 1: Commander saying that if we don't send more troops into Afghanistan,

1405
01:17:08,600 --> 01:17:11,520
Speaker 1: we're not going to be able to break the stalemate

1406
01:17:11,600 --> 01:17:13,800
Speaker 1: that's currently going on in that country now, Sean, I

1407
01:17:13,840 --> 01:17:17,720
Speaker 1: think stalemate maybe a generous way to put it. The

1408
01:17:17,760 --> 01:17:21,800
Speaker 1: Taliban is in control of roughly a third of Afghanistan

1409
01:17:21,960 --> 01:17:24,920
Speaker 1: right now, which I don't think many Americans know. We're

1410
01:17:24,960 --> 01:17:28,120
Speaker 1: down to a little over eight thousand troops from a

1411
01:17:28,200 --> 01:17:31,160
Speaker 1: high of over a hundred thousand, and I believe it

1412
01:17:31,200 --> 01:17:34,360
Speaker 1: was eleven. This war has been going on since two

1413
01:17:34,400 --> 01:17:37,519
Speaker 1: thousand and one. We still have troops there, but I

1414
01:17:37,560 --> 01:17:40,479
Speaker 1: think there's a sense that we're almost done. And this general,

1415
01:17:40,520 --> 01:17:43,000
Speaker 1: who's the commander of US troops in Afghanistan, was saying

1416
01:17:44,000 --> 01:17:46,360
Speaker 1: I was saying, oh, no, we probably have to send

1417
01:17:46,520 --> 01:17:49,920
Speaker 1: more troops. What do you think is going on here? Well? General,

1418
01:17:50,160 --> 01:17:52,479
Speaker 1: First of all, the general's name is John Nicholson. He

1419
01:17:52,760 --> 01:17:56,479
Speaker 1: was my brigade commander in two thousand and six when

1420
01:17:56,520 --> 01:17:59,480
Speaker 1: we were in RC East and Regional Command East in Afghanistan.

1421
01:18:00,160 --> 01:18:02,479
Speaker 1: And there is not a single dude out there that

1422
01:18:02,600 --> 01:18:04,679
Speaker 1: is better and more fit for the job than him.

1423
01:18:04,800 --> 01:18:08,560
Speaker 1: I think he is one of the smartest, smartest strategic

1424
01:18:08,640 --> 01:18:11,920
Speaker 1: level officers that we have. And what you know, So,

1425
01:18:12,080 --> 01:18:14,639
Speaker 1: what he's really doing, and I'm a big fan of it,

1426
01:18:14,800 --> 01:18:17,920
Speaker 1: is switching from a counter insurgency strategy back to the

1427
01:18:17,920 --> 01:18:21,160
Speaker 1: original strategy that we had in Afghanistan two thousands fifty

1428
01:18:21,240 --> 01:18:23,840
Speaker 1: thousand seven and use it to great effect. Uh And

1429
01:18:23,840 --> 01:18:26,479
Speaker 1: and it's counter terror strategy. But to address your point

1430
01:18:26,479 --> 01:18:29,719
Speaker 1: about stalemate, Yeah, stalemate is a political way of saying

1431
01:18:29,760 --> 01:18:32,960
Speaker 1: that that we're that we're losing the war there and

1432
01:18:32,960 --> 01:18:35,320
Speaker 1: and and it's kind of ironic, buck because it's like

1433
01:18:35,720 --> 01:18:40,160
Speaker 1: we win every single military engagement on the ground, but

1434
01:18:40,240 --> 01:18:43,240
Speaker 1: are at risk for losing the war, and I think

1435
01:18:43,280 --> 01:18:46,000
Speaker 1: in large part because we have been implementing for the

1436
01:18:46,080 --> 01:18:49,000
Speaker 1: past almost seven or eight years in Afghanistan and counter

1437
01:18:49,120 --> 01:18:52,920
Speaker 1: insurgency strategy that was just not effective. It's effective in Iraq,

1438
01:18:53,000 --> 01:18:56,040
Speaker 1: but it's definitely not an effective not effective in Afghanistan.

1439
01:18:56,439 --> 01:18:57,760
Speaker 1: And then just to give you, just to give you

1440
01:18:57,800 --> 01:19:01,200
Speaker 1: a sense of of what that means, two thousand and six,

1441
01:19:01,800 --> 01:19:04,519
Speaker 1: my unit was charged with closing with and destroying the

1442
01:19:04,600 --> 01:19:07,880
Speaker 1: enemy in eastern Afghanistan. That is the mission of the

1443
01:19:07,920 --> 01:19:10,479
Speaker 1: infantry and that's what we're trained to do best, and

1444
01:19:10,520 --> 01:19:13,720
Speaker 1: that's what we did. So my one platoon killed three

1445
01:19:13,960 --> 01:19:17,440
Speaker 1: D fifty enemy fighters and we didn't kill one civilian

1446
01:19:17,520 --> 01:19:20,600
Speaker 1: the entire time that we were there. And so the

1447
01:19:20,640 --> 01:19:23,559
Speaker 1: basic premise behind the counter terror strategies that killed the

1448
01:19:23,640 --> 01:19:26,840
Speaker 1: enemy thereby securing the populace. What we did was he

1449
01:19:26,920 --> 01:19:29,640
Speaker 1: killed as many enemies as we could and we separated

1450
01:19:29,640 --> 01:19:34,160
Speaker 1: them from civilians, and civilians trusted in US. Afghan civilians

1451
01:19:34,160 --> 01:19:36,240
Speaker 1: trusted in US and our ability to be able to

1452
01:19:36,280 --> 01:19:39,439
Speaker 1: keep them safe. So they told us things. They allowed

1453
01:19:39,520 --> 01:19:42,439
Speaker 1: us to help them build their government, train their police,

1454
01:19:42,800 --> 01:19:45,080
Speaker 1: trained their military, and when we left there, so we

1455
01:19:45,080 --> 01:19:47,680
Speaker 1: were there for four five days, which is insane is

1456
01:19:47,720 --> 01:19:51,120
Speaker 1: it's the longest combat deployment global warrantist, global war and

1457
01:19:51,240 --> 01:19:53,840
Speaker 1: terror history. Buck and I could have freaking voted in

1458
01:19:53,880 --> 01:19:57,120
Speaker 1: Afghanistan about one or two legally, I think. But by

1459
01:19:57,120 --> 01:19:59,439
Speaker 1: the time the war was over, we were getting intel

1460
01:19:59,520 --> 01:20:04,080
Speaker 1: signaling SIGAN signals intelligence from Pakistan from the Taliban and

1461
01:20:04,160 --> 01:20:06,920
Speaker 1: other terrorist groups in and around the area saying that

1462
01:20:07,000 --> 01:20:09,479
Speaker 1: we can no longer commit our sons to this fight

1463
01:20:10,000 --> 01:20:13,400
Speaker 1: because the US troops are killing them in far too

1464
01:20:13,439 --> 01:20:16,679
Speaker 1: great in numbers. And then we built the Margot combat

1465
01:20:16,680 --> 01:20:18,760
Speaker 1: Outpost at the end of two thousand and seven. We

1466
01:20:18,920 --> 01:20:21,760
Speaker 1: left in in June of two thousand and seven. The

1467
01:20:21,800 --> 01:20:24,639
Speaker 1: next unit came in, the next division commander came in.

1468
01:20:25,240 --> 01:20:28,720
Speaker 1: Obama was president short time later, and they just implemented

1469
01:20:28,720 --> 01:20:32,200
Speaker 1: a counter insurgency strategy which basically meant building small combat

1470
01:20:32,200 --> 01:20:37,440
Speaker 1: outposts all along UH the border between Afghanistan and Pakistan.

1471
01:20:37,960 --> 01:20:40,040
Speaker 1: And we lost control of the fight because we spreed

1472
01:20:40,080 --> 01:20:43,799
Speaker 1: our forces too thin, and it went from a kinetic

1473
01:20:43,840 --> 01:20:45,479
Speaker 1: fight and when we were trying to kill the enemy

1474
01:20:45,520 --> 01:20:49,920
Speaker 1: to a largely static fight UH and active defense basically

1475
01:20:50,040 --> 01:20:53,880
Speaker 1: with platoon sized combat outposts all over the border, and

1476
01:20:53,920 --> 01:20:56,400
Speaker 1: that's when you started hearing year after year, right Buck,

1477
01:20:56,439 --> 01:20:58,360
Speaker 1: It was like year for year there was an American

1478
01:20:58,360 --> 01:21:00,439
Speaker 1: infantry pala tune or something getting a run on the

1479
01:21:00,479 --> 01:21:03,879
Speaker 1: border of Afghanistan. Well, that's because we had our forces

1480
01:21:03,920 --> 01:21:06,880
Speaker 1: spread out all over the place, with one platoon here,

1481
01:21:07,000 --> 01:21:10,439
Speaker 1: one there, with really not enough offensive combat power to

1482
01:21:10,479 --> 01:21:12,360
Speaker 1: patrol the border at all. Well that's what I want

1483
01:21:12,400 --> 01:21:14,360
Speaker 1: to ask you about, Sean, because, as you said, your

1484
01:21:14,439 --> 01:21:17,760
Speaker 1: former brigade commander is not commander of all US forces

1485
01:21:17,800 --> 01:21:21,080
Speaker 1: in Afghanistan, and he's telling the Senate Armed Services Committee

1486
01:21:21,560 --> 01:21:24,960
Speaker 1: that they just don't have enough. Uh, they just don't

1487
01:21:25,000 --> 01:21:27,599
Speaker 1: have enough soldiers. So we just don't have enough US

1488
01:21:27,680 --> 01:21:30,479
Speaker 1: military in place to get this fight where it needs

1489
01:21:30,520 --> 01:21:33,360
Speaker 1: to be. Uh what what do you I mean, what

1490
01:21:33,400 --> 01:21:35,280
Speaker 1: do you think about that? I mean, if we were

1491
01:21:35,320 --> 01:21:38,919
Speaker 1: to recommit, I don't know. He says a few thousand.

1492
01:21:39,040 --> 01:21:41,000
Speaker 1: My guess is that it's gonna be a few thousand

1493
01:21:41,080 --> 01:21:42,640
Speaker 1: for the next six months, and then will be a

1494
01:21:42,680 --> 01:21:45,120
Speaker 1: few thousand more after that. And very quickly people started

1495
01:21:45,120 --> 01:21:48,519
Speaker 1: to get nervous as to whether we're just ramping up again. Uh,

1496
01:21:48,560 --> 01:21:50,840
Speaker 1: why didn't this work? The last time. I think a

1497
01:21:50,840 --> 01:21:53,080
Speaker 1: lot of Americans would want to know that we had

1498
01:21:53,080 --> 01:21:55,960
Speaker 1: a hundred thousand in country. Were they not there long enough?

1499
01:21:56,040 --> 01:22:00,080
Speaker 1: Or is are there just structural problems with Afghanistan? Is

1500
01:22:00,080 --> 01:22:02,720
Speaker 1: a country as a landmass, as a place where you've

1501
01:22:02,720 --> 01:22:06,160
Speaker 1: got warring faction stretching back for centuries. Obviously, all this

1502
01:22:06,240 --> 01:22:09,519
Speaker 1: stuff about how it's the graveyard of empires and you

1503
01:22:09,560 --> 01:22:11,920
Speaker 1: know that we have all the clocks but the Taliban

1504
01:22:11,960 --> 01:22:14,439
Speaker 1: has all the time. All that's still being true. Why

1505
01:22:14,640 --> 01:22:18,080
Speaker 1: isn't this thing over yet? Well, so you're so, let

1506
01:22:18,080 --> 01:22:20,559
Speaker 1: me address the second part of what you said about

1507
01:22:20,920 --> 01:22:23,720
Speaker 1: how we had like a hundred plus thousand troops there

1508
01:22:23,720 --> 01:22:26,920
Speaker 1: and why wasn't that working? Well, the basic premise of

1509
01:22:26,920 --> 01:22:30,559
Speaker 1: counter incertainty is the flood a region with with troops,

1510
01:22:30,560 --> 01:22:32,800
Speaker 1: and you've got you've got a nation and a host nation,

1511
01:22:32,800 --> 01:22:34,760
Speaker 1: And in this case, we were we were were the

1512
01:22:34,840 --> 01:22:38,000
Speaker 1: nation coming in and training the host nation to extend

1513
01:22:38,000 --> 01:22:40,000
Speaker 1: the reach of government and their army and train their

1514
01:22:40,000 --> 01:22:42,920
Speaker 1: police so that they can secure their people. But the

1515
01:22:42,960 --> 01:22:46,800
Speaker 1: basic premise of of that strategy is based on a

1516
01:22:46,880 --> 01:22:50,720
Speaker 1: nation's ability to host another right and so to your

1517
01:22:50,720 --> 01:22:55,040
Speaker 1: point of the geographic challenges that Afghanistan poses. Afghanistan can

1518
01:22:55,080 --> 01:22:59,000
Speaker 1: barely be considered a nation, let alone one that is

1519
01:22:59,080 --> 01:23:02,640
Speaker 1: effective enough to host another one. And so when the

1520
01:23:02,640 --> 01:23:05,960
Speaker 1: basic premise of counterinsurgency has flawed, how can we how

1521
01:23:06,000 --> 01:23:08,680
Speaker 1: can we expect our troops on the ground to be

1522
01:23:08,720 --> 01:23:12,280
Speaker 1: successful implementing that strategy. So, for example, we had a

1523
01:23:12,360 --> 01:23:16,080
Speaker 1: hundred thousand troops spread out all over Afghanistan, but they

1524
01:23:16,080 --> 01:23:18,240
Speaker 1: weren't really doing anything but trying to win the hearts

1525
01:23:18,240 --> 01:23:21,280
Speaker 1: and minds, and that in and of itself is not enough.

1526
01:23:21,439 --> 01:23:27,000
Speaker 1: Like especially in Afghanistan, where we're strength above all other

1527
01:23:27,160 --> 01:23:30,800
Speaker 1: things is valued. So in Afghanistan in two thousand six,

1528
01:23:31,120 --> 01:23:34,719
Speaker 1: we had one infantry brigade combat team on the border

1529
01:23:34,720 --> 01:23:37,160
Speaker 1: and all of our Sea east and so in an

1530
01:23:37,200 --> 01:23:41,000
Speaker 1: area ten times the size of Texas, we had thirty troops.

1531
01:23:41,000 --> 01:23:43,479
Speaker 1: But our sole purpose in life was to hunt down

1532
01:23:43,520 --> 01:23:45,640
Speaker 1: the enemy and kill them. And so and we have

1533
01:23:45,720 --> 01:23:47,400
Speaker 1: the same thing in our C South, and we have

1534
01:23:47,439 --> 01:23:48,960
Speaker 1: the same thing in our C North and our C

1535
01:23:49,160 --> 01:23:51,400
Speaker 1: and our C West. So the point is, to me,

1536
01:23:51,560 --> 01:23:54,960
Speaker 1: it's less important about how many soldiers during country and

1537
01:23:55,400 --> 01:23:58,400
Speaker 1: much far more important as to what their mission is

1538
01:23:58,400 --> 01:24:00,360
Speaker 1: going to be. So right now we have about six

1539
01:24:00,400 --> 01:24:04,080
Speaker 1: hundred soldiers UM in Afghanistan, and I think a few

1540
01:24:04,120 --> 01:24:07,120
Speaker 1: thousand more. I think what General Nicholson is thinking is

1541
01:24:07,360 --> 01:24:10,080
Speaker 1: really give him the ability to not only get after

1542
01:24:10,160 --> 01:24:13,120
Speaker 1: and train the enemy, to get after and kill the enemy,

1543
01:24:13,240 --> 01:24:16,679
Speaker 1: which is of the utmost important stuff of securing the populace. Really,

1544
01:24:17,000 --> 01:24:19,120
Speaker 1: and I say it again, there's no better way to

1545
01:24:19,160 --> 01:24:22,000
Speaker 1: secure the civilians in Afghanistan or in any war than

1546
01:24:22,040 --> 01:24:23,920
Speaker 1: by killing the enemy that are trying to kill them,

1547
01:24:24,160 --> 01:24:27,840
Speaker 1: number one, but number two, like at this point in

1548
01:24:27,880 --> 01:24:30,400
Speaker 1: time in the war, we've got to have enough strength

1549
01:24:30,479 --> 01:24:33,880
Speaker 1: on the ground and the right people on the ground, uh,

1550
01:24:33,920 --> 01:24:37,120
Speaker 1: to really serve as as ambassadors with a gun. We've

1551
01:24:37,120 --> 01:24:39,360
Speaker 1: got to be able to train their police. We've got

1552
01:24:39,360 --> 01:24:41,639
Speaker 1: to be able to train their government. Right now, they're

1553
01:24:41,680 --> 01:24:44,280
Speaker 1: so corrupt. And I mean right now, the Afghan National Army,

1554
01:24:44,280 --> 01:24:48,519
Speaker 1: I'll tell you right now, they're they're phenomenal buck, they're courageous. Uh.

1555
01:24:48,640 --> 01:24:51,000
Speaker 1: Fighting side by side of them and the trenches was great.

1556
01:24:51,360 --> 01:24:54,200
Speaker 1: But right now they basically have a five hundred thousand

1557
01:24:54,479 --> 01:24:58,400
Speaker 1: person of of our barely they're not even considered an

1558
01:24:58,479 --> 01:25:01,000
Speaker 1: army because why they can't eat them. They can't get

1559
01:25:01,000 --> 01:25:03,760
Speaker 1: them water and they can't pay them. Why because the

1560
01:25:03,800 --> 01:25:06,080
Speaker 1: government is so corrupt they take it all for themselves.

1561
01:25:06,439 --> 01:25:10,400
Speaker 1: So we need we need competent Americans in those positions

1562
01:25:10,439 --> 01:25:14,599
Speaker 1: acting as liaison, helping them with their supply, helping them

1563
01:25:14,600 --> 01:25:17,040
Speaker 1: with their pay, helping them to feed and get water

1564
01:25:17,120 --> 01:25:19,360
Speaker 1: to their soldiers in the field so that they can

1565
01:25:19,439 --> 01:25:22,680
Speaker 1: function eventually when we leave. But I mean, if I

1566
01:25:22,680 --> 01:25:24,040
Speaker 1: think at the end of the day, Buck, we're going

1567
01:25:24,120 --> 01:25:26,559
Speaker 1: to be in that country, if we're committed to this

1568
01:25:26,640 --> 01:25:29,200
Speaker 1: fight like we should be and believing this. This pains

1569
01:25:29,240 --> 01:25:31,400
Speaker 1: me more than anybody else because I fought and bled

1570
01:25:31,439 --> 01:25:35,240
Speaker 1: there and lost soldiers there. But we're gonna be in

1571
01:25:35,240 --> 01:25:38,320
Speaker 1: in Afghanistan if we do this right for fifty years.

1572
01:25:38,320 --> 01:25:40,840
Speaker 1: Oh man, let me let me ask you, Sean and

1573
01:25:40,840 --> 01:25:42,559
Speaker 1: and we We've got a couple more minutes here, so

1574
01:25:42,600 --> 01:25:44,080
Speaker 1: you can take your time. But I won't I won't

1575
01:25:44,120 --> 01:25:48,559
Speaker 1: hit you with many more questions after this one. Uh,

1576
01:25:48,720 --> 01:25:51,080
Speaker 1: if you were still in and you were being told

1577
01:25:51,080 --> 01:25:53,479
Speaker 1: that you had to take your guys back over there

1578
01:25:53,479 --> 01:25:55,120
Speaker 1: at this point, Let's say you were part of a

1579
01:25:55,200 --> 01:25:59,400
Speaker 1: surge of in an additional ten thousand US military personnel

1580
01:25:59,400 --> 01:26:02,360
Speaker 1: in new afghanis stand to stabilize the situation and hopefully

1581
01:26:02,439 --> 01:26:05,280
Speaker 1: let the Afghan government get its act together and get

1582
01:26:05,320 --> 01:26:08,840
Speaker 1: the job done with security and defeating the Taliban. How

1583
01:26:08,880 --> 01:26:13,320
Speaker 1: would you feel about that? Well, I wouldn't go good.

1584
01:26:13,560 --> 01:26:15,880
Speaker 1: I mean I didn't. I mean, so I was really

1585
01:26:15,920 --> 01:26:18,479
Speaker 1: motivated when I'm win, I'm in about the mission more

1586
01:26:18,479 --> 01:26:20,320
Speaker 1: than I'm trying to. You know, would you be You know,

1587
01:26:20,320 --> 01:26:22,519
Speaker 1: it's a combat deployment. I understand that, but I just

1588
01:26:22,560 --> 01:26:24,479
Speaker 1: mean in terms of the mission set, would you feel

1589
01:26:24,479 --> 01:26:28,479
Speaker 1: like it's doable? Well? Yeah, if if, if, if General

1590
01:26:28,600 --> 01:26:30,479
Speaker 1: Nicholson looked me in the acience, that's sean. I'm gonna

1591
01:26:30,479 --> 01:26:31,920
Speaker 1: send you back over there. I'm gonna give you an

1592
01:26:31,960 --> 01:26:34,800
Speaker 1: infantry company, and this is what your mission is gonna be.

1593
01:26:35,040 --> 01:26:37,599
Speaker 1: And we're gonna keep all these DC politicians, We're gonna

1594
01:26:37,680 --> 01:26:40,120
Speaker 1: keep their hands off the war and allow you, as

1595
01:26:40,120 --> 01:26:42,320
Speaker 1: a battlefield commander to make the calls that you think

1596
01:26:42,320 --> 01:26:46,000
Speaker 1: are right in the field, get after it. I say, hell, yeah,

1597
01:26:46,080 --> 01:26:49,640
Speaker 1: send me now. I mean because because I really do

1598
01:26:49,720 --> 01:26:51,479
Speaker 1: think the war was wonnable. I'm telling you right now,

1599
01:26:51,520 --> 01:26:53,559
Speaker 1: And if you interviewed General Nicholson, he tell you the

1600
01:26:53,600 --> 01:26:56,720
Speaker 1: same thing. In two thousand and seven, we have the

1601
01:26:56,760 --> 01:26:59,680
Speaker 1: Afghanistan War one at the end, and and and some

1602
01:27:00,000 --> 01:27:02,639
Speaker 1: are along the way. Between two thousand and seven, two

1603
01:27:02,640 --> 01:27:05,040
Speaker 1: thousand and two thousand and nine we lost it, but

1604
01:27:05,120 --> 01:27:07,479
Speaker 1: in No. Seven we had the initiative. We are implementing

1605
01:27:07,520 --> 01:27:11,200
Speaker 1: the right We're implementing the right strategy. It was a

1606
01:27:11,240 --> 01:27:14,479
Speaker 1: hard fight, man, and I mean it like World War

1607
01:27:14,560 --> 01:27:19,000
Speaker 1: two infantry style fighting. But we were winning. And and

1608
01:27:19,160 --> 01:27:20,800
Speaker 1: if I had to go back over there, knowing that

1609
01:27:20,800 --> 01:27:23,519
Speaker 1: that was the strategy, I would do it all again

1610
01:27:23,520 --> 01:27:25,840
Speaker 1: in a second, especially no one maybe knowing the risk

1611
01:27:25,840 --> 01:27:27,840
Speaker 1: and everything else. And I think, and I think I

1612
01:27:27,920 --> 01:27:31,679
Speaker 1: just spoke to a bunch of young crudebeliever cadet something

1613
01:27:32,160 --> 01:27:35,400
Speaker 1: northern Pennsylvania that we're going into the army. I think

1614
01:27:35,439 --> 01:27:37,680
Speaker 1: they would all do it too. And I think, you know,

1615
01:27:37,880 --> 01:27:39,439
Speaker 1: you know how I feel about this, buck, But we

1616
01:27:39,479 --> 01:27:41,680
Speaker 1: are so lucky to live in this country where young

1617
01:27:41,760 --> 01:27:45,960
Speaker 1: cadets like that razor right hand volunteers serving a time war. Um.

1618
01:27:46,080 --> 01:27:48,280
Speaker 1: But we're in good hand. It's just all a question

1619
01:27:48,320 --> 01:27:50,160
Speaker 1: of whether or not they have the right mission set

1620
01:27:50,200 --> 01:27:52,760
Speaker 1: going over there. If we do, will win all day.

1621
01:27:53,200 --> 01:27:56,920
Speaker 1: Sean Parnell is a former U. S Army Airborne ranger.

1622
01:27:56,960 --> 01:27:59,960
Speaker 1: He's the author of a fantastic book New York Times bestseller,

1623
01:28:00,000 --> 01:28:04,240
Speaker 1: Outlaw Platoon, Heroes, Renegades, Infidels and the Brotherhood of War

1624
01:28:04,280 --> 01:28:09,120
Speaker 1: in Afghanistan. He is a fantastic guy and got great stories,

1625
01:28:09,160 --> 01:28:11,200
Speaker 1: so you want to check out his book. Sean, my friend,

1626
01:28:11,200 --> 01:28:13,519
Speaker 1: thanks for joining us and we we will look forward

1627
01:28:13,520 --> 01:28:17,559
Speaker 1: to you coming back soon. Definitely. I love Shield Time.

1628
01:28:17,600 --> 01:28:19,280
Speaker 1: I Man love you too, brother, talk to you soon.

1629
01:28:19,760 --> 01:28:22,920
Speaker 1: Al right, phones are open eight four four nine zero

1630
01:28:23,040 --> 01:28:30,799
Speaker 1: zero to eight to five. We'll be right back. Welcome

1631
01:28:30,800 --> 01:28:33,080
Speaker 1: back to Freedom Hunt, Team Buck. We'll let you know

1632
01:28:33,160 --> 01:28:34,479
Speaker 1: that some of you have been asking me about this

1633
01:28:34,560 --> 01:28:37,720
Speaker 1: since we started the show a few weeks ago. And yes,

1634
01:28:37,840 --> 01:28:40,559
Speaker 1: you can download the entirety of the show, of course

1635
01:28:40,640 --> 01:28:43,040
Speaker 1: for free. And the best thing you can do, if

1636
01:28:43,040 --> 01:28:45,120
Speaker 1: you don't mind, I would love it if you would

1637
01:28:45,720 --> 01:28:49,479
Speaker 1: is subscribe, and you could subscribe on iTunes now. So

1638
01:28:49,520 --> 01:28:51,640
Speaker 1: those of you like to listen to your podcasts on iTunes,

1639
01:28:52,040 --> 01:28:54,040
Speaker 1: you can just set up a subscribe feature there and

1640
01:28:54,040 --> 01:28:58,120
Speaker 1: you will get the entirety of Buck Sexton with America now.

1641
01:28:58,439 --> 01:29:00,479
Speaker 1: So please do check it out. All of course, on

1642
01:29:00,520 --> 01:29:03,120
Speaker 1: the I Heart app you can you can listen to

1643
01:29:03,160 --> 01:29:06,320
Speaker 1: it live there and also play on demand. Um but

1644
01:29:06,439 --> 01:29:08,320
Speaker 1: we are on iTunes as well now, so you've got

1645
01:29:08,439 --> 01:29:10,439
Speaker 1: multiple ways to listen to the show in its entirety.

1646
01:29:10,479 --> 01:29:12,160
Speaker 1: If you're listening to just part of it, or if

1647
01:29:12,200 --> 01:29:13,960
Speaker 1: you just want to go back and hear a man

1648
01:29:14,040 --> 01:29:19,240
Speaker 1: Sean Sean Parnell, patriot, door kicker and all around great guy. Uh,

1649
01:29:19,280 --> 01:29:20,519
Speaker 1: if you want to hear what he had to say

1650
01:29:20,560 --> 01:29:22,880
Speaker 1: about Afghanistan, you really called part of it, go on

1651
01:29:22,920 --> 01:29:26,000
Speaker 1: iTunes or I Heart download the podcast and on iTunes,

1652
01:29:26,040 --> 01:29:27,920
Speaker 1: I know you can subscribe, which means you get it

1653
01:29:27,920 --> 01:29:29,640
Speaker 1: all the time. Is type in Buck Sexton into the

1654
01:29:29,680 --> 01:29:34,560
Speaker 1: search field and bam, you're there. Laurie in New Jersey

1655
01:29:34,720 --> 01:29:39,679
Speaker 1: my first caller. They're wonderful, Laurie. Good to hear from you. Yo, Bob,

1656
01:29:39,840 --> 01:29:41,920
Speaker 1: how are you doing. I'm good. I'm good. I mean,

1657
01:29:41,920 --> 01:29:43,599
Speaker 1: I'm gonna tell everybody, but I hope this okay. You're

1658
01:29:43,600 --> 01:29:45,320
Speaker 1: a lawyer, so it's cool that you know things about

1659
01:29:45,360 --> 01:29:49,679
Speaker 1: the law. I am a lawyer, and as a result

1660
01:29:49,720 --> 01:29:52,599
Speaker 1: thereof I do know some things about the law. Yeah,

1661
01:29:52,720 --> 01:29:54,040
Speaker 1: I know that's cool, but I know you want to

1662
01:29:54,080 --> 01:29:56,280
Speaker 1: you want to talk about bathrooms and such, So tell

1663
01:29:56,320 --> 01:29:58,240
Speaker 1: me what's going on. I do. But but can I

1664
01:29:58,280 --> 01:30:00,040
Speaker 1: just take a moment because I listened to Sean and

1665
01:30:00,120 --> 01:30:04,040
Speaker 1: Parnell what a great guy. He's amazing vot he's he's

1666
01:30:04,520 --> 01:30:06,960
Speaker 1: he's the rare and he's the rare guy. Who you

1667
01:30:07,000 --> 01:30:09,519
Speaker 1: want him? You know, he's a big teddy bear and

1668
01:30:09,560 --> 01:30:11,679
Speaker 1: a great guy. When you're around him, he's just really

1669
01:30:11,760 --> 01:30:14,840
Speaker 1: nice and humble and cool. But also if you if

1670
01:30:14,880 --> 01:30:16,760
Speaker 1: you could put somebody in your foxhole or at your

1671
01:30:16,800 --> 01:30:19,880
Speaker 1: side and nasty bar fight, Sean Parnell will be very

1672
01:30:19,920 --> 01:30:22,720
Speaker 1: high on that list, I promise you. Buck. Is he

1673
01:30:22,800 --> 01:30:25,280
Speaker 1: one of the soft guys by any chance? I don't

1674
01:30:25,280 --> 01:30:27,559
Speaker 1: think he is with soft Rep, but they know and

1675
01:30:27,600 --> 01:30:30,880
Speaker 1: respect Sean. There's there's there's a collegial relationship there, as

1676
01:30:30,880 --> 01:30:33,360
Speaker 1: I understand it. Yeah, just so you know I'm a

1677
01:30:33,400 --> 01:30:36,400
Speaker 1: member there too. Really Okay? Yeah, Well, Brandon Webb, who

1678
01:30:36,520 --> 01:30:39,000
Speaker 1: who's the founder of soft Rep, who's a former Navy

1679
01:30:39,040 --> 01:30:42,040
Speaker 1: seal sniper, is a very good friend of mine. I

1680
01:30:42,040 --> 01:30:43,519
Speaker 1: mean he's here in New York. We hang out all

1681
01:30:43,560 --> 01:30:46,240
Speaker 1: the time, and uh, you know, soft rep dot com

1682
01:30:46,280 --> 01:30:49,200
Speaker 1: does great stuff, and Brandon and some of his writers,

1683
01:30:49,400 --> 01:30:52,000
Speaker 1: including some of his writers who are former spec Ops

1684
01:30:52,040 --> 01:30:54,559
Speaker 1: guys themselves, that they'll be joining the show going forward

1685
01:30:54,560 --> 01:30:58,200
Speaker 1: for sure. Excellent, glad to hear it. That is another

1686
01:30:58,280 --> 01:31:01,240
Speaker 1: area of keen interest on my part. But you're right,

1687
01:31:01,360 --> 01:31:04,559
Speaker 1: I did call tonight about transgender bathrooms, and this is

1688
01:31:04,600 --> 01:31:06,520
Speaker 1: what I would this is what I would like to say.

1689
01:31:06,600 --> 01:31:11,200
Speaker 1: The raft for I mean decades now, has has been

1690
01:31:11,240 --> 01:31:15,479
Speaker 1: hammering about the importance of science. They they wish to

1691
01:31:16,280 --> 01:31:20,640
Speaker 1: defer to science at every turn so long as it

1692
01:31:20,720 --> 01:31:24,400
Speaker 1: supports their point of view. Now we have a point

1693
01:31:24,760 --> 01:31:29,320
Speaker 1: a situation where science has decidedly said for many, many

1694
01:31:29,400 --> 01:31:32,559
Speaker 1: years that that a person's brain is really not very

1695
01:31:32,640 --> 01:31:36,920
Speaker 1: developed until a certain age. Now, there was a story

1696
01:31:36,960 --> 01:31:39,000
Speaker 1: in the news last just last week of a nine

1697
01:31:39,120 --> 01:31:44,440
Speaker 1: year old born a girl who is now being encouraged

1698
01:31:44,479 --> 01:31:48,120
Speaker 1: to identify as a boy by her own mother or

1699
01:31:48,160 --> 01:31:50,400
Speaker 1: his own I don't even know the right terminology. And

1700
01:31:50,400 --> 01:31:54,519
Speaker 1: I'm not trying to be insensitive or Yeah, by the way,

1701
01:31:54,560 --> 01:31:57,640
Speaker 1: I resent Lourie, what I think you're stumbling into right here,

1702
01:31:57,640 --> 01:31:59,640
Speaker 1: because I stumble into it too, which is you know,

1703
01:31:59,680 --> 01:32:01,960
Speaker 1: I just I'm not using a pronoun to make some

1704
01:32:01,960 --> 01:32:04,320
Speaker 1: political statement. I'm just used to saying he for males

1705
01:32:04,320 --> 01:32:05,880
Speaker 1: and she for females. And I'm not trying to make

1706
01:32:05,920 --> 01:32:08,280
Speaker 1: anyone feel bad. It's not supposed to be offensive. It's

1707
01:32:08,280 --> 01:32:11,800
Speaker 1: just a recognition of what I think is reality. Well,

1708
01:32:11,840 --> 01:32:18,559
Speaker 1: and and a genuine, a genuine confusion. Yeah, honestly, I

1709
01:32:18,560 --> 01:32:24,599
Speaker 1: don't know how to even discuss the topic. Of course,

1710
01:32:25,320 --> 01:32:26,960
Speaker 1: the left is figuring it out as they go along.

1711
01:32:27,000 --> 01:32:28,880
Speaker 1: By the way, you can run a foul of what

1712
01:32:28,960 --> 01:32:32,720
Speaker 1: was just decided as leftist orthodoxy on transgender rights, you

1713
01:32:32,720 --> 01:32:37,639
Speaker 1: know last week. Absolutely, And I don't want to offend anybody.

1714
01:32:37,680 --> 01:32:39,880
Speaker 1: This is something that I think is lost on the

1715
01:32:39,920 --> 01:32:43,759
Speaker 1: other side, or or they just prefer it to be lost.

1716
01:32:44,240 --> 01:32:48,160
Speaker 1: We we don't. I actually, even though I am a

1717
01:32:48,280 --> 01:32:53,639
Speaker 1: Bible believing Christians, what they want to do with their

1718
01:32:53,680 --> 01:32:58,559
Speaker 1: bodies and their identities, fine, I don't care. I do

1719
01:32:58,680 --> 01:33:01,280
Speaker 1: not care. But it's become a bit lawyer you know,

1720
01:33:01,320 --> 01:33:04,439
Speaker 1: your lawyer has become a legal issue. And now how

1721
01:33:04,520 --> 01:33:06,320
Speaker 1: far are we from people who are going to sue

1722
01:33:07,080 --> 01:33:09,600
Speaker 1: sue their workplace because they say, well, I should be

1723
01:33:09,640 --> 01:33:12,360
Speaker 1: able to use the other bathroom and I want accommodations made,

1724
01:33:12,360 --> 01:33:15,960
Speaker 1: and you know they make it becomes an issue. I know.

1725
01:33:16,160 --> 01:33:18,000
Speaker 1: So this actually brings me to my point about the

1726
01:33:18,040 --> 01:33:22,240
Speaker 1: school thing. I don't understand how it is that we

1727
01:33:22,280 --> 01:33:26,840
Speaker 1: can make pronouncements about gender identity before human being has

1728
01:33:26,920 --> 01:33:33,040
Speaker 1: reached maturity in terms of um sex. I mean, a

1729
01:33:33,120 --> 01:33:35,679
Speaker 1: nine year old, to use the case from last week,

1730
01:33:36,439 --> 01:33:42,960
Speaker 1: has not undergone the physical changes that occur to make

1731
01:33:43,200 --> 01:33:46,720
Speaker 1: to to um. So we say push someone in one

1732
01:33:46,720 --> 01:33:49,200
Speaker 1: direction or the other. When I was nine, I was

1733
01:33:49,240 --> 01:33:53,880
Speaker 1: a complete tomboy. Yeah. I think that parent parents, who

1734
01:33:53,880 --> 01:33:57,280
Speaker 1: are encouraging your nine year olds to go down this path, uh,

1735
01:33:57,640 --> 01:34:02,160
Speaker 1: seems highly highly unwise and suspect to me. So here's

1736
01:34:02,160 --> 01:34:03,880
Speaker 1: what I would. I would just say this because I

1737
01:34:03,920 --> 01:34:06,559
Speaker 1: hear the music in the background. I don't. I think

1738
01:34:06,600 --> 01:34:09,519
Speaker 1: it is extremely unwise and the Left should really consider

1739
01:34:09,520 --> 01:34:13,280
Speaker 1: where they're coming from. If you're going to mandate universal

1740
01:34:14,240 --> 01:34:17,000
Speaker 1: people can do where whatever they want to do before

1741
01:34:17,080 --> 01:34:21,960
Speaker 1: the age of actual consent or majority. These these little

1742
01:34:22,040 --> 01:34:26,880
Speaker 1: kids don't know really, all right, the lawyer from NJ.

1743
01:34:27,040 --> 01:34:29,040
Speaker 1: We gotta bounce here, But Laurie, thank you for calling in,

1744
01:34:29,080 --> 01:34:31,519
Speaker 1: and I hear you, UM and everybody We're gonna be

1745
01:34:31,560 --> 01:34:39,080
Speaker 1: back right after the break. Fuck is back. Everybody bucks back.

1746
01:34:39,240 --> 01:34:42,280
Speaker 1: It's more of America. Now throw in your two cents

1747
01:34:42,600 --> 01:34:46,760
Speaker 1: one eight four four nine hundred buck. That's one eight

1748
01:34:46,800 --> 01:34:52,360
Speaker 1: four four d to eight to five. We've talked about

1749
01:34:52,400 --> 01:34:56,000
Speaker 1: fake news here before, and I've even tried to make

1750
01:34:56,040 --> 01:34:58,880
Speaker 1: a distinction between fake news and false news, although I

1751
01:34:58,880 --> 01:35:02,000
Speaker 1: think the one can often be close to and perhaps

1752
01:35:02,000 --> 01:35:07,240
Speaker 1: even bleed over into the other. Uh. But this is

1753
01:35:07,400 --> 01:35:09,880
Speaker 1: a story that was getting attention to the last couple

1754
01:35:09,880 --> 01:35:11,600
Speaker 1: of days, and I've been looking into it, and I

1755
01:35:11,720 --> 01:35:15,200
Speaker 1: just have to say it. It smells a little funky

1756
01:35:15,240 --> 01:35:17,040
Speaker 1: to me, a little a little bit, a little bit,

1757
01:35:17,120 --> 01:35:20,280
Speaker 1: a little funky, something a little wrong here. I want

1758
01:35:20,320 --> 01:35:23,400
Speaker 1: to know what is that funky smell that is coming

1759
01:35:23,400 --> 01:35:28,000
Speaker 1: from these town halls, because, uh, this is what we're hearing,

1760
01:35:28,080 --> 01:35:31,840
Speaker 1: and this is what USA today yesterday, Oh no, I'm

1761
01:35:31,880 --> 01:35:36,280
Speaker 1: sorry today a few hours ago was reporting on these

1762
01:35:36,360 --> 01:35:41,800
Speaker 1: town halls where Republicans in GOP dominant in very red

1763
01:35:41,880 --> 01:35:47,080
Speaker 1: states have people showing up at their town halls and

1764
01:35:47,600 --> 01:35:51,080
Speaker 1: oh wow, what a shock, what a surprise. They're showing

1765
01:35:51,160 --> 01:35:55,639
Speaker 1: up at these town halls and making accusations very strong

1766
01:35:55,720 --> 01:36:03,519
Speaker 1: ones and allegations about Russia and Trump. Now, let's just

1767
01:36:03,600 --> 01:36:06,240
Speaker 1: take a step back for a moment. Let's put on

1768
01:36:06,280 --> 01:36:09,080
Speaker 1: our our our thinking caps are analyst hats for a minute.

1769
01:36:09,120 --> 01:36:12,479
Speaker 1: Here the kind of people that show up to a

1770
01:36:12,560 --> 01:36:18,000
Speaker 1: town hall to speak to their representative do we think

1771
01:36:18,000 --> 01:36:22,080
Speaker 1: in a very red state? So for example, Mitch McConnell

1772
01:36:22,160 --> 01:36:25,400
Speaker 1: and Kentucky. Um, I know there are parts of Kentucky

1773
01:36:25,479 --> 01:36:27,559
Speaker 1: that are blue. But you know Mitch McConnell, who is

1774
01:36:27,600 --> 01:36:33,280
Speaker 1: showing up at Mitch McConnell, Eddie, Mitch McConnell town hall. Well,

1775
01:36:33,479 --> 01:36:35,880
Speaker 1: we'll put a put a pin in the McConnell question

1776
01:36:35,960 --> 01:36:37,759
Speaker 1: for a second, because we'll get to that. We actually

1777
01:36:37,800 --> 01:36:40,519
Speaker 1: have audio of that one. But here's what USA today

1778
01:36:40,520 --> 01:36:42,880
Speaker 1: is saying about other town halls as it as it

1779
01:36:42,920 --> 01:36:50,120
Speaker 1: writes here, from Montana to Virginia, there are several incidences

1780
01:36:50,160 --> 01:36:54,720
Speaker 1: of voters pressing lawmakers on Russia, in addition to hot

1781
01:36:54,760 --> 01:37:00,400
Speaker 1: topics such as Obamacare and immigration restrictions. Representative Arthur mc

1782
01:37:00,439 --> 01:37:03,200
Speaker 1: sally of Arizona was recently asked to support a formal

1783
01:37:03,240 --> 01:37:08,320
Speaker 1: congressional investigation into Trump's business interests, namely in Russia. Representative

1784
01:37:08,360 --> 01:37:12,320
Speaker 1: Tom Reid, whose district is the southwest tip of New

1785
01:37:12,400 --> 01:37:15,439
Speaker 1: York State, had a number of constituents during his town

1786
01:37:15,479 --> 01:37:20,280
Speaker 1: hall and a senior center, UM bring up Russia, and

1787
01:37:20,320 --> 01:37:22,639
Speaker 1: one of the crowd yelled, what are you covering up?

1788
01:37:22,680 --> 01:37:26,719
Speaker 1: And Russia? As the woman called the issue embarrassing for

1789
01:37:27,200 --> 01:37:31,280
Speaker 1: the nation. Now, these individuals, I have to say, Uh,

1790
01:37:31,320 --> 01:37:34,759
Speaker 1: this strikes me as not fake news or false news,

1791
01:37:34,800 --> 01:37:39,640
Speaker 1: but perhaps you could call it false flag news. I

1792
01:37:39,680 --> 01:37:42,599
Speaker 1: don't believe that these people showing up at town halls

1793
01:37:42,840 --> 01:37:49,479
Speaker 1: and berating they're likely representative UM are Republicans, and I

1794
01:37:49,520 --> 01:37:54,040
Speaker 1: know Trump tweeted out that these are Democrat activists who

1795
01:37:54,080 --> 01:37:56,640
Speaker 1: have infiltrated. Look, they're allowed to go to the town hall, right,

1796
01:37:56,680 --> 01:38:02,519
Speaker 1: I'm not saying that they've done anything wrong in that respect. Um,

1797
01:38:02,600 --> 01:38:04,840
Speaker 1: here here's what he says. This is Trump. The day

1798
01:38:04,840 --> 01:38:08,559
Speaker 1: before this is Trump yesterday tweeted out the so called

1799
01:38:08,640 --> 01:38:12,760
Speaker 1: angry crowds in home districts of some Republicans are actually

1800
01:38:12,880 --> 01:38:20,559
Speaker 1: in numerous cases planned out by liberal activists. Sad exclamation point. Now,

1801
01:38:20,600 --> 01:38:24,120
Speaker 1: without Trump even putting that tweet out there, I have

1802
01:38:24,320 --> 01:38:29,120
Speaker 1: to say I find this to be a much more

1803
01:38:29,200 --> 01:38:35,240
Speaker 1: likely situation than Republicans who are showing up because remember,

1804
01:38:35,360 --> 01:38:38,520
Speaker 1: people hate Congress, but they tend to like their representative.

1805
01:38:38,640 --> 01:38:40,920
Speaker 1: This is a This is a very interesting dichotomy. This

1806
01:38:41,000 --> 01:38:44,960
Speaker 1: is a separation between perceptions of d C and the

1807
01:38:45,080 --> 01:38:50,040
Speaker 1: swamp and the Beltway. And you know, Bob who represents

1808
01:38:50,080 --> 01:38:52,600
Speaker 1: your district. You know you're like Bob or if you

1809
01:38:52,720 --> 01:38:56,200
Speaker 1: voted for Bob or or Sally or whomever. Right, I'm

1810
01:38:56,200 --> 01:39:00,000
Speaker 1: just picking random names here, um, but people like there

1811
01:39:00,000 --> 01:39:03,000
Speaker 1: a representative or in some cases or many cases, I

1812
01:39:03,040 --> 01:39:08,320
Speaker 1: would guess, uh, their senator. But they're gonna show up

1813
01:39:08,320 --> 01:39:11,479
Speaker 1: and press on the right, that's who who is showing

1814
01:39:11,560 --> 01:39:15,040
Speaker 1: up at a town hall and making sure that the

1815
01:39:15,040 --> 01:39:17,360
Speaker 1: press is aware of this to keep that in mind

1816
01:39:18,120 --> 01:39:21,519
Speaker 1: and pushing the issue of Trump ties to Russia. I

1817
01:39:21,600 --> 01:39:24,559
Speaker 1: just I can't tell you that it's not true, and

1818
01:39:24,640 --> 01:39:28,240
Speaker 1: I I'm just telling you that to me, it rings false.

1819
01:39:29,120 --> 01:39:32,360
Speaker 1: It strikes me as unlikely that it's very interesting in

1820
01:39:32,479 --> 01:39:37,320
Speaker 1: USA today, huge circulation newspaper and others going with this

1821
01:39:37,400 --> 01:39:41,720
Speaker 1: story of Republicans under heat as they go home. I

1822
01:39:41,760 --> 01:39:44,200
Speaker 1: don't buy it that a lot of Republicans are putting

1823
01:39:44,240 --> 01:39:47,160
Speaker 1: heat on their representatives for the Russia Trump connect. I

1824
01:39:47,200 --> 01:39:49,439
Speaker 1: just don't buy it. And it's funny because I know

1825
01:39:49,479 --> 01:39:51,400
Speaker 1: Trump tweeted this out and so it sounds like I'm

1826
01:39:51,400 --> 01:39:53,120
Speaker 1: I'm taking marching order from this in the White House.

1827
01:39:53,200 --> 01:39:55,080
Speaker 1: But but I really don't buy it. I'm telling you,

1828
01:39:55,120 --> 01:39:58,840
Speaker 1: I just smell, like I said, it smells funky to me.

1829
01:39:59,320 --> 01:40:01,559
Speaker 1: You think about this situation, You're gonna show up and

1830
01:40:01,600 --> 01:40:03,640
Speaker 1: you're gonna, you know what, what are you really going

1831
01:40:03,680 --> 01:40:09,360
Speaker 1: to get out of yelling at who was the representative

1832
01:40:09,439 --> 01:40:14,120
Speaker 1: Tom Reid or Martha McSally about congressional investigations into Trump

1833
01:40:14,120 --> 01:40:18,480
Speaker 1: and Russia. I think these are Democrats, whether their activists

1834
01:40:18,560 --> 01:40:20,880
Speaker 1: or not. And I can't say that although I know

1835
01:40:20,920 --> 01:40:22,639
Speaker 1: there are some Republicans who are very you know, John

1836
01:40:22,680 --> 01:40:26,080
Speaker 1: McCain is very upset about Trump's dies to Russia. UM,

1837
01:40:26,120 --> 01:40:31,160
Speaker 1: I find I find John McCain to be politically highly unhelpful,

1838
01:40:32,280 --> 01:40:35,080
Speaker 1: and I wish he would stop. And I think that

1839
01:40:35,120 --> 01:40:38,360
Speaker 1: there's no small part of his political criticism of the

1840
01:40:38,360 --> 01:40:42,519
Speaker 1: Trump administration that is driven by his own ego. Yeah,

1841
01:40:42,760 --> 01:40:45,240
Speaker 1: I think that that's a real thing that factors into

1842
01:40:45,280 --> 01:40:47,920
Speaker 1: all of this. That's just my perception of it. I

1843
01:40:47,920 --> 01:40:50,120
Speaker 1: could be wrong, But then you get the Mitch McConnell

1844
01:40:50,120 --> 01:40:53,800
Speaker 1: town hall, and this woman, Rose Perkins is her name.

1845
01:40:54,320 --> 01:40:58,160
Speaker 1: She shows up in this town hall and goes off

1846
01:40:58,240 --> 01:41:05,439
Speaker 1: on UH Senate Majority Leader Mitch McConnell. And she then

1847
01:41:05,560 --> 01:41:08,719
Speaker 1: later on, of course, finds her way onto CNN, onto

1848
01:41:08,760 --> 01:41:13,639
Speaker 1: a onto a prominent CNN daytime show. But I wanted

1849
01:41:13,640 --> 01:41:15,320
Speaker 1: to play the exchange for you because this this is

1850
01:41:15,320 --> 01:41:19,000
Speaker 1: a little different than what we've heard about this murky. Oh,

1851
01:41:19,120 --> 01:41:21,320
Speaker 1: there's this movement of people showing up and they're just

1852
01:41:21,360 --> 01:41:25,439
Speaker 1: talking about Russia. And yeah, it's all just what a

1853
01:41:25,479 --> 01:41:29,920
Speaker 1: surprise that people are showing up at Republican representatives across

1854
01:41:29,960 --> 01:41:32,160
Speaker 1: the country in well, in a few cases, not on

1855
01:41:32,200 --> 01:41:36,920
Speaker 1: that many to talk about Russia. Uh, this is a

1856
01:41:36,960 --> 01:41:40,559
Speaker 1: little different. Let's play the Rose Perkins audio at this

1857
01:41:40,680 --> 01:41:44,840
Speaker 1: McConnell town hall. Go. Please, you have to knowledge that

1858
01:41:45,000 --> 01:41:48,480
Speaker 1: we got to how many people on foodstaysk in Kentucky

1859
01:41:48,880 --> 01:41:51,280
Speaker 1: and West I heard where the leader and that is

1860
01:41:51,360 --> 01:41:53,960
Speaker 1: not where we want to be the leader. In the

1861
01:41:54,080 --> 01:41:57,679
Speaker 1: last I heard, these jobs are not coming. And now

1862
01:41:57,760 --> 01:42:01,080
Speaker 1: these people the insurance safety because you're pole and they

1863
01:42:01,120 --> 01:42:07,559
Speaker 1: work those coal lines and they're sick. What they need

1864
01:42:09,600 --> 01:42:11,799
Speaker 1: there I'll sit down and shut up like a Lisbeth

1865
01:42:11,800 --> 01:42:16,120
Speaker 1: bore Now. I think she she seems to me to

1866
01:42:16,160 --> 01:42:20,000
Speaker 1: be an earnist here. I don't know why it falls

1867
01:42:20,040 --> 01:42:23,960
Speaker 1: on Mitch McConnell that there's uh foods, that food stamp

1868
01:42:24,080 --> 01:42:26,240
Speaker 1: usage in Kentucky is is at very is at a

1869
01:42:26,320 --> 01:42:28,080
Speaker 1: very high level. I think she said it's the leader.

1870
01:42:28,120 --> 01:42:29,240
Speaker 1: I don't know if that's true or not. I do

1871
01:42:29,360 --> 01:42:34,400
Speaker 1: know that the poorest per capita county in the entirety

1872
01:42:34,439 --> 01:42:36,960
Speaker 1: of the United States is Harlan County, Kentucky, and Blue

1873
01:42:37,200 --> 01:42:41,320
Speaker 1: believes eastern Kentucky. So there is that you often hear

1874
01:42:41,360 --> 01:42:46,360
Speaker 1: about urban urban poverty and decay, but the poorest, the

1875
01:42:46,400 --> 01:42:49,719
Speaker 1: poorest single county in the entire United States per capita,

1876
01:42:49,920 --> 01:42:52,600
Speaker 1: is in eastern Kentucky. And by the way, it is

1877
01:42:53,000 --> 01:42:59,240
Speaker 1: uh predominantly white. So you know, this is often oftentimes

1878
01:42:59,240 --> 01:43:02,400
Speaker 1: we talk about or the discussion around poverty is all

1879
01:43:02,520 --> 01:43:09,040
Speaker 1: is tied into discussion around of people's ethnic background and demographics,

1880
01:43:09,080 --> 01:43:12,599
Speaker 1: and it's broken down that way. But there are plenty

1881
01:43:12,640 --> 01:43:17,400
Speaker 1: of very poor and very desperate white people in rural

1882
01:43:17,400 --> 01:43:21,320
Speaker 1: America that anyway, they tend not to get as the

1883
01:43:21,360 --> 01:43:26,200
Speaker 1: same kind of attention as urban decay and in cities

1884
01:43:26,240 --> 01:43:30,680
Speaker 1: where you have higher proportions of minorities um for any

1885
01:43:30,720 --> 01:43:32,680
Speaker 1: number of reasons. I think in part because there's just

1886
01:43:32,720 --> 01:43:35,120
Speaker 1: more media in cities and there's more concentration of people.

1887
01:43:35,160 --> 01:43:39,000
Speaker 1: But anyway, so she's she's pretty fired up at Mitch McConnelly.

1888
01:43:39,160 --> 01:43:40,760
Speaker 1: I don't know how much of that's really fair. And

1889
01:43:41,000 --> 01:43:44,240
Speaker 1: then in the sense that Mitch McConnell, you know what's

1890
01:43:44,280 --> 01:43:46,960
Speaker 1: first of all, he's been he's been in the majority

1891
01:43:47,080 --> 01:43:49,439
Speaker 1: for a few weeks. And I'm not some big Mitch

1892
01:43:49,479 --> 01:43:52,040
Speaker 1: McConnell's super fat, don't get me wrong, but he's been

1893
01:43:52,080 --> 01:43:55,280
Speaker 1: in the majority for a few weeks and he's managed

1894
01:43:55,320 --> 01:43:59,760
Speaker 1: to shepherd through the confirmation process all but one of

1895
01:44:00,040 --> 01:44:03,160
Speaker 1: Romp's cabinet appointees. So I think you gotta give him

1896
01:44:03,160 --> 01:44:06,360
Speaker 1: some credit on that. There's been some discipline in the

1897
01:44:06,400 --> 01:44:08,240
Speaker 1: Senate to get that through. We'll see what they do

1898
01:44:08,320 --> 01:44:11,040
Speaker 1: with everything else. But of course, this woman, here's why

1899
01:44:11,120 --> 01:44:14,000
Speaker 1: she gets national level attention and why she's on CNN

1900
01:44:14,080 --> 01:44:18,639
Speaker 1: or earlier today, because any dissatisfaction with the Republicans from

1901
01:44:18,680 --> 01:44:21,360
Speaker 1: the constituent, that the perception that there is a grassroots

1902
01:44:21,400 --> 01:44:25,800
Speaker 1: dissatisfaction with Republicans is now the story. It's almost like

1903
01:44:25,880 --> 01:44:27,799
Speaker 1: they all they got together, a bunch of major newspapers

1904
01:44:27,840 --> 01:44:30,160
Speaker 1: across the country, and they're like, hey, what have we

1905
01:44:30,200 --> 01:44:32,519
Speaker 1: got there. It's gonna hurt the hurt the GOP. Oh yeah,

1906
01:44:32,640 --> 01:44:38,800
Speaker 1: let's go with that whole grassroots disaffection with the GOP. Um.

1907
01:44:38,880 --> 01:44:41,599
Speaker 1: So I'm not saying that's not there. I'm just saying,

1908
01:44:41,680 --> 01:44:45,320
Speaker 1: be cautious. False flag news can also be a very

1909
01:44:45,360 --> 01:44:49,560
Speaker 1: real thing. Um. You know, I believe there was a

1910
01:44:49,760 --> 01:44:53,160
Speaker 1: time when someone showed up at a Hillary event and

1911
01:44:53,280 --> 01:44:57,320
Speaker 1: yelled iron my shirt at Hillary, and people said, oh,

1912
01:44:57,479 --> 01:45:01,640
Speaker 1: these these vile Republicans, they're so they're so gross, And

1913
01:45:01,720 --> 01:45:03,680
Speaker 1: it turns out there's both registered Democrats, and I think

1914
01:45:03,680 --> 01:45:05,760
Speaker 1: they were doing it as as a gag for of

1915
01:45:05,800 --> 01:45:08,200
Speaker 1: all things, a radio show. Very we do a very

1916
01:45:08,200 --> 01:45:10,120
Speaker 1: different kind of show here than all the others. Whoa,

1917
01:45:10,240 --> 01:45:13,479
Speaker 1: hey bo, I mean there's a lot of that in

1918
01:45:13,560 --> 01:45:15,280
Speaker 1: radio land. I don't I don't really do that here.

1919
01:45:15,360 --> 01:45:17,800
Speaker 1: Sometimes we'll have fun with stuff like not like that.

1920
01:45:17,840 --> 01:45:20,160
Speaker 1: We don't do shock chock, but yeah, I'll do a

1921
01:45:20,160 --> 01:45:22,600
Speaker 1: little weird voices and things to keep it spicy, to

1922
01:45:22,680 --> 01:45:25,719
Speaker 1: keep it, keep it flavorful in the freedom hunt. Um.

1923
01:45:25,920 --> 01:45:29,040
Speaker 1: But anyway, I can understand that there is dissatisfaction with

1924
01:45:29,080 --> 01:45:31,840
Speaker 1: the GEOP. I understand there's just satisfaction with the GOP.

1925
01:45:32,000 --> 01:45:35,080
Speaker 1: But just I would I caution you all as you

1926
01:45:35,120 --> 01:45:36,800
Speaker 1: read these news stories, as you see the way that

1927
01:45:36,840 --> 01:45:39,960
Speaker 1: this is being lined up, to make sure you don't

1928
01:45:40,000 --> 01:45:42,320
Speaker 1: think that you don't just take it face value these

1929
01:45:42,360 --> 01:45:47,240
Speaker 1: claims at oh there's this grassroots uprising against these UH

1930
01:45:47,520 --> 01:45:50,320
Speaker 1: Republicans at their own town halls, in their districts or

1931
01:45:50,320 --> 01:45:52,680
Speaker 1: in their home states. Maybe a little bit of it.

1932
01:45:52,720 --> 01:45:56,960
Speaker 1: And I think the real dissatisfaction for me the fact

1933
01:45:57,000 --> 01:45:59,479
Speaker 1: that they put this woman or this woman rather received

1934
01:45:59,479 --> 01:46:01,320
Speaker 1: all this attention, and I think she's she sounded to

1935
01:46:01,360 --> 01:46:03,120
Speaker 1: me like she's an artist. That didn't sound you know,

1936
01:46:03,160 --> 01:46:06,240
Speaker 1: she wasn't saying, oh, Russia gave Trump the election, and

1937
01:46:06,320 --> 01:46:09,240
Speaker 1: until there's a congressional inquiry, you know, I'm gonna see

1938
01:46:09,280 --> 01:46:12,120
Speaker 1: these people reading off the talking points they're printed from,

1939
01:46:12,160 --> 01:46:15,639
Speaker 1: you know, Slate dot com or or talking points Memo

1940
01:46:15,840 --> 01:46:19,120
Speaker 1: or one of those sites. But she seemed an arnice

1941
01:46:19,160 --> 01:46:21,760
Speaker 1: to me. The food stamps in Kentucky, I don't really

1942
01:46:21,760 --> 01:46:23,760
Speaker 1: see how much McConnell was supposed to have changed that

1943
01:46:24,080 --> 01:46:27,320
Speaker 1: in a few weeks. But they are moving kind of

1944
01:46:27,479 --> 01:46:31,200
Speaker 1: slowly on some major agenda items, and we've seen a

1945
01:46:31,200 --> 01:46:34,080
Speaker 1: little bit of backpeddling, and I do think we all

1946
01:46:34,080 --> 01:46:38,479
Speaker 1: have to be on uh maybe you could call it

1947
01:46:38,520 --> 01:46:43,120
Speaker 1: like spine watch. You have to see if the Republicans

1948
01:46:43,120 --> 01:46:46,840
Speaker 1: start to waiver just because they're losing their will to

1949
01:46:46,920 --> 01:46:50,280
Speaker 1: get it done, and you'll get at you'll get a

1950
01:46:50,320 --> 01:46:52,000
Speaker 1: sense of this before and this is not going to

1951
01:46:52,040 --> 01:46:54,400
Speaker 1: come out of out of the blue. You'll start to see, well,

1952
01:46:54,439 --> 01:46:57,040
Speaker 1: you know, I mean, Obamacare actually has some good things,

1953
01:46:57,120 --> 01:46:59,519
Speaker 1: and maybe we should work more with the insurance companies,

1954
01:46:59,560 --> 01:47:01,880
Speaker 1: and we're gonna tink around the edges and a lot

1955
01:47:01,880 --> 01:47:04,840
Speaker 1: of its gonna say oh no, no, no, you said

1956
01:47:04,960 --> 01:47:09,000
Speaker 1: repeal and you said replace, and they'll say, okay, okay, sure,

1957
01:47:09,000 --> 01:47:11,080
Speaker 1: we're gonna go back. We're gonna go back into session

1958
01:47:11,120 --> 01:47:12,680
Speaker 1: and take care of this and don't worry and where

1959
01:47:12,680 --> 01:47:14,720
Speaker 1: you'd like to representatives and where the GOP will get

1960
01:47:14,720 --> 01:47:17,240
Speaker 1: this done. And but you know, I just think the

1961
01:47:17,280 --> 01:47:20,880
Speaker 1: tax reform, the deficits twenty trillion dollars and we've got

1962
01:47:20,960 --> 01:47:24,120
Speaker 1: some big businesses that are, you know, concerned about what's

1963
01:47:24,120 --> 01:47:26,760
Speaker 1: gonna at Oh no, but you know we're gonna have

1964
01:47:26,880 --> 01:47:29,479
Speaker 1: You're gonna have to keep an eye on this. You're

1965
01:47:29,479 --> 01:47:32,120
Speaker 1: gonna have to watch pretty closely, because I I think

1966
01:47:32,160 --> 01:47:35,400
Speaker 1: that there are plenty of Republicans that realized that well,

1967
01:47:35,439 --> 01:47:37,479
Speaker 1: first of all, they benefited from this Trump wave, even

1968
01:47:37,520 --> 01:47:39,600
Speaker 1: if they hated Trump, which is pretty funny when you

1969
01:47:39,640 --> 01:47:43,599
Speaker 1: think about it. And they know what the They know

1970
01:47:43,680 --> 01:47:47,200
Speaker 1: what the base wants. They know what grassroots Republicans okay,

1971
01:47:47,240 --> 01:47:49,839
Speaker 1: And I don't even like the term grassroots Republican activists.

1972
01:47:49,840 --> 01:47:51,840
Speaker 1: We don't do activists. We just have people that don't

1973
01:47:51,880 --> 01:47:54,320
Speaker 1: care about things and show up sometimes to talk about them.

1974
01:47:54,320 --> 01:47:57,320
Speaker 1: But you know, they all have day jobs, um for

1975
01:47:57,360 --> 01:48:01,799
Speaker 1: the most part. So I they know what the GOP

1976
01:48:02,000 --> 01:48:04,479
Speaker 1: base has wanted for a long time, for years now,

1977
01:48:04,520 --> 01:48:07,280
Speaker 1: stretching back to the rise of the Tea Party. And

1978
01:48:07,360 --> 01:48:09,800
Speaker 1: although we don't talk about deficits and we don't talk

1979
01:48:09,840 --> 01:48:11,840
Speaker 1: about government spending quite as much, Trump talked about it

1980
01:48:11,840 --> 01:48:13,559
Speaker 1: today a little bit. He said, we're gonna spend less,

1981
01:48:13,560 --> 01:48:18,200
Speaker 1: We're gonna have a a fiduciary duty to the American

1982
01:48:18,240 --> 01:48:21,639
Speaker 1: taxpayer as the federal government. And I like that he's

1983
01:48:21,640 --> 01:48:26,559
Speaker 1: he's hitting the right notes there um. But the rank

1984
01:48:26,600 --> 01:48:29,240
Speaker 1: and file of the elected members of Congress for the

1985
01:48:29,240 --> 01:48:32,559
Speaker 1: Republican Party have known for a while what to say

1986
01:48:32,560 --> 01:48:34,400
Speaker 1: on most of these issues, and they haven't been a

1987
01:48:34,439 --> 01:48:37,080
Speaker 1: position to do it. And we have to keep it

1988
01:48:37,200 --> 01:48:40,320
Speaker 1: very close eye on this because I wonder if they

1989
01:48:40,360 --> 01:48:42,960
Speaker 1: really want to do it, if they have the stomach

1990
01:48:43,000 --> 01:48:45,400
Speaker 1: for what they've been promising to do all along. Here,

1991
01:48:46,160 --> 01:48:49,160
Speaker 1: I think here's a little prediction for you. You You will

1992
01:48:49,200 --> 01:48:55,760
Speaker 1: see the GOP Congress do opeque majority Congress waiver and

1993
01:48:55,840 --> 01:48:58,439
Speaker 1: backtrack on a core on a on a key issue

1994
01:48:59,320 --> 01:49:02,120
Speaker 1: before you'll see Trump do it. I think they're going

1995
01:49:02,160 --> 01:49:05,960
Speaker 1: to be the ones who break first, and then all

1996
01:49:06,080 --> 01:49:08,920
Speaker 1: hell's gonna break loose. All right, all right, team, we're

1997
01:49:08,920 --> 01:49:14,800
Speaker 1: gonn ahead of break. We'll be right back alright, seem

1998
01:49:14,840 --> 01:49:16,960
Speaker 1: welcome back into the Freedom Hunt. Freed to have you

1999
01:49:17,000 --> 01:49:19,120
Speaker 1: with me. If you are listening and you haven't already,

2000
01:49:19,120 --> 01:49:22,519
Speaker 1: please go on iTunes or on i Hearts app, and

2001
01:49:22,560 --> 01:49:26,000
Speaker 1: on iTunes you can subscribe. That means that you'll be

2002
01:49:26,040 --> 01:49:28,120
Speaker 1: downloading the show every time we do a show, which

2003
01:49:28,200 --> 01:49:30,640
Speaker 1: is great. So just type in Buck Sex into the

2004
01:49:30,640 --> 01:49:34,200
Speaker 1: search field on iTunes or on I Heart Media app,

2005
01:49:34,680 --> 01:49:37,320
Speaker 1: I Hear Radio app Brother um, and you can subscribe

2006
01:49:37,320 --> 01:49:40,080
Speaker 1: on iTunes, which is a cool feature. And please do

2007
01:49:40,760 --> 01:49:44,240
Speaker 1: Gene in Louisiana, you're You're on the Buck Sex and Show.

2008
01:49:44,240 --> 01:49:49,920
Speaker 1: Welcome Geene. Hey, how are you Buck? I'm good good.

2009
01:49:50,000 --> 01:49:52,080
Speaker 1: I just you know, at first, I want to start

2010
01:49:52,120 --> 01:49:55,080
Speaker 1: off with telling you that I love listening to your

2011
01:49:55,120 --> 01:49:58,640
Speaker 1: show for the most part, that you don't talk like

2012
01:49:58,720 --> 01:50:03,960
Speaker 1: a staunch Republican and I am not a Republican or

2013
01:50:03,960 --> 01:50:07,400
Speaker 1: a sent Republican in any way. On the other hand,

2014
01:50:07,479 --> 01:50:12,120
Speaker 1: I'm not Democrat either. I vote independent. Um, you're a

2015
01:50:12,200 --> 01:50:14,200
Speaker 1: free thinker. But you listen to this show, which means

2016
01:50:14,240 --> 01:50:17,720
Speaker 1: you have excellent taste in radio. Sir. Well, that's right,

2017
01:50:17,760 --> 01:50:21,120
Speaker 1: thank you very much, and I appreciate that. Anyway. I'm

2018
01:50:21,160 --> 01:50:24,160
Speaker 1: a I'm a retired Army ranger. I was one of

2019
01:50:24,160 --> 01:50:26,600
Speaker 1: the last ones out of Vietnam, and I was the

2020
01:50:26,640 --> 01:50:31,000
Speaker 1: first boots on the ground and the Panama campaign and

2021
01:50:31,000 --> 01:50:32,719
Speaker 1: and so I've been around and a lot of people

2022
01:50:32,800 --> 01:50:36,600
Speaker 1: don't ever talk about the fact that in Panama, the

2023
01:50:36,600 --> 01:50:40,479
Speaker 1: Panama Campaign actually kind of started a whole lot if

2024
01:50:40,479 --> 01:50:43,040
Speaker 1: you research it, it's kind of a lot of the

2025
01:50:43,080 --> 01:50:46,280
Speaker 1: background of what has come through all the way until today,

2026
01:50:48,840 --> 01:50:53,519
Speaker 1: as far as we'll be UM, if you follow the

2027
01:50:53,600 --> 01:50:55,760
Speaker 1: trend from when we went into Panama and so on

2028
01:50:55,800 --> 01:50:59,360
Speaker 1: and so forth, that started a lot of the Middle East, uh,

2029
01:50:59,400 --> 01:51:03,439
Speaker 1: and everything followed through UM from there all the way

2030
01:51:03,520 --> 01:51:07,160
Speaker 1: until the president, as far as the stuff that's going

2031
01:51:07,200 --> 01:51:08,880
Speaker 1: on to the Middle East and stuff that was going

2032
01:51:08,920 --> 01:51:12,439
Speaker 1: on in desert storm and all these other things. Anyway,

2033
01:51:12,439 --> 01:51:15,120
Speaker 1: that's not why I'm calling. I'm calling to tell you

2034
01:51:15,200 --> 01:51:23,280
Speaker 1: that my UM, I vote independent, and and my wife

2035
01:51:23,560 --> 01:51:30,560
Speaker 1: is a staunch a Democrat. She's she's very much a Democrat. UM,

2036
01:51:30,600 --> 01:51:34,320
Speaker 1: but I do lean Republican on most of what I

2037
01:51:35,120 --> 01:51:37,720
Speaker 1: think about. But I don't like anybody telling me how

2038
01:51:37,760 --> 01:51:39,640
Speaker 1: to vote. I don't want anybody telling me what to

2039
01:51:39,680 --> 01:51:43,080
Speaker 1: think too. Was aside this, I don't put me there.

2040
01:51:43,479 --> 01:51:45,160
Speaker 1: I want to be able to make my own decisions.

2041
01:51:45,479 --> 01:51:49,679
Speaker 1: I think I may agree and not agree there. So anyway,

2042
01:51:49,920 --> 01:51:54,720
Speaker 1: my wife being a Democrat, she absolutely loves Hillary. She

2043
01:51:54,880 --> 01:51:57,760
Speaker 1: knows the Hillary story. She has followed Hillary all the

2044
01:51:57,760 --> 01:52:00,000
Speaker 1: way from college. We've only got about a minute change,

2045
01:52:00,040 --> 01:52:03,519
Speaker 1: so you no but go ahead, Oh okay, anyway, So

2046
01:52:03,640 --> 01:52:08,000
Speaker 1: she is very big on on following following Hillary, but

2047
01:52:08,240 --> 01:52:12,080
Speaker 1: she became I have but she hated when Trump won.

2048
01:52:12,680 --> 01:52:15,439
Speaker 1: And I tried and have been explaining to her the

2049
01:52:15,520 --> 01:52:19,000
Speaker 1: things that are going on, what's going on with Trump

2050
01:52:19,040 --> 01:52:22,560
Speaker 1: and his agenda and this and that, and I have

2051
01:52:22,640 --> 01:52:25,800
Speaker 1: actually got hurt to agree with me and start to

2052
01:52:25,920 --> 01:52:29,360
Speaker 1: lean my direction. Even though she loves Hillary, she does

2053
01:52:29,439 --> 01:52:31,240
Speaker 1: see the fact that we do need to make some

2054
01:52:31,360 --> 01:52:33,920
Speaker 1: changes in this country. We do need to back to

2055
01:52:34,000 --> 01:52:36,880
Speaker 1: president whether you like it or not. We gotta follow

2056
01:52:36,920 --> 01:52:39,439
Speaker 1: America and back America. All right here, you Jeane, you

2057
01:52:39,479 --> 01:52:41,200
Speaker 1: gotta get her to listen to this show too. That's

2058
01:52:41,200 --> 01:52:43,320
Speaker 1: gonna help, I promise. Thank you for your service, sir,

2059
01:52:43,400 --> 01:52:46,320
Speaker 1: and thank you for your call um and team. If

2060
01:52:46,320 --> 01:52:50,040
Speaker 1: you're listening, please do download the podcast on I heart

2061
01:52:50,200 --> 01:52:53,799
Speaker 1: or iTunes. We're on iTunes now until tomorrow night, my friends.

2062
01:52:54,040 --> 01:52:56,080
Speaker 1: She feels high.