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Speaker 1: Welcome to today's edition of the Clay Travis and Buck

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Speaker 1: Sexton Show podcast.

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Speaker 2: Welcome in Clay Travis Buck Sexton Show winsday edition of

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Speaker 2: the program. It appears we have a speaker. He is

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Speaker 2: Mike Johnson. A lot of you would not know him.

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Speaker 2: I would imagine I did not know him beforehand from Louisiana.

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Speaker 2: It appears that he is going to have the votes

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Speaker 2: when the vote is officially cast on the floor of

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Speaker 2: the House of Representatives. So that is underway. We will

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Speaker 2: update you on all of that. Lots of news coming

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Speaker 2: out of Israel, including the United States asking Israel, and

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Speaker 2: Israel evidently agreeing not to invade Gaza until there's more

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Speaker 2: American support there, raising a lot of questions about what

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Speaker 2: might be coming. We'll have Buck put on his foreign

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Speaker 2: affairs hat and analyze all of that for us. But Buck,

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Speaker 2: I want to start with the response that we've seen

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Speaker 2: in the United States to the Hamas attack, particularly on

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Speaker 2: college and university campuses, which has been a big story.

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Speaker 2: And last night, as I was getting ready for bed,

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Speaker 2: trying to get the Travis boys to go to bed,

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Speaker 2: brush their teeth, do all the things that parents have

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Speaker 2: to do as they get their kids ready for bed.

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Speaker 2: I saw a story and I couldn't believe it was real.

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Speaker 2: And I actually waited about a half hour and kept

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Speaker 2: doing research on it because I just I couldn't believe

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Speaker 2: that this could have been happening. And so I think

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Speaker 2: most people out there know I went to George Washington University.

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Speaker 2: We've talked some about where we went to school. It

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Speaker 2: is a school just about four blocks from the White

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Speaker 2: House in Washington.

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Speaker 3: D C.

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Speaker 2: And it has a population that's close to thirty percent Jewish,

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Speaker 2: which is a big population of Jewish students. I think

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Speaker 2: it was even higher than that when and I was

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Speaker 2: enrolled there twenty some odd years ago. And actually Buck,

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Speaker 2: when we were in DC last week, I walked through

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Speaker 2: GW's campus because the school had received a decent amount

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Speaker 2: of attention because there had been a pro Hamas protest

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Speaker 2: that had taken place on campus featuring students, and so

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Speaker 2: I just kind of wanted to walk through the campus

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Speaker 2: like someone would who went to college, see what it

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Speaker 2: looked like, see what the vibe was that was last week.

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Speaker 2: Last night, near the center of GW's campus Buck is

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Speaker 2: the Gellman Library, and the Geleman Library was named for

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Speaker 2: and funded by the donations of Holocaust survivors. There are

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Speaker 2: many high donor individuals at GW if you walk through

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Speaker 2: the campus that are Jewish. The GW population has largely

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Speaker 2: been Jewish for some time. Lots of people from Long Island,

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Speaker 2: lots of people from Philadelphia, Lots of Jewish families have

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Speaker 2: sent their kids to GW for some time. Down the

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Speaker 2: coast from New York and Philly and Boston, it's a

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Speaker 2: very common school.

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Speaker 3: There.

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Speaker 2: Being put on the side of the building by a

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Speaker 2: student protest were the following phrases on again a library

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Speaker 2: that was built by Holocaust survivors to educate students at GW.

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Speaker 1: Glory to our martyrs.

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Speaker 2: Divestment from Zionist genocide, now free Palestine from the River

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Speaker 2: to the Sea, and more. But those are just three examples.

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Speaker 2: If you want to see pictures of it, you can

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Speaker 2: go to my Twitter feed. I'm sure we'll post a

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Speaker 2: story about it up at clayanbuck dot com as well.

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Speaker 2: And Buck we talked about this little bit, I think

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Speaker 2: a couple of years ago, and we've talked about it

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Speaker 2: on the show since because it's sort of laughably absurd,

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Speaker 2: but GW removed it had been the colonials, George Washington,

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Speaker 2: the colonial army. So the idea was that the mascot

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Speaker 2: was the colonials, it was a GW mascot. They decided

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Speaker 2: that it was too closely the GW administration did, too

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Speaker 2: closely connected to the idea of colonialism, and a lot

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Speaker 2: of people kind of laughed it off. And honestly, the

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Speaker 2: colonial army, we were the colonists fighting back against the colonization.

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Speaker 2: So it's the exact opposite of that. But a lot

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Speaker 2: of people laughed it off. But Buck, I think it

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Speaker 2: was the root symbol of the toxicity that had taken

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Speaker 2: place at the university, and this is now the natural

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Speaker 2: outgrowth of it. And the fact that this is happening

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Speaker 2: not only a GW but everywhere is I think, frankly

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Speaker 2: a army.

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Speaker 4: I mean, imagine if after nine to eleven, on college

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Speaker 4: campuses across the country there was a little bit of this,

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Speaker 4: as I mentioned, but not anything like what we've seen

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Speaker 4: here with the anti isral, anti Semitic stuff. But imagine

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Speaker 4: if right after nine to eleven there were on I

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Speaker 4: mean dozens and dozens of campuses that we already know about, protests,

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Speaker 4: displays like this one placards being held up about how,

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Speaker 4: you know, bin Laden has a point about US imperialism

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Speaker 4: in the Middle East basically, right, you know what bin

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Speaker 4: Laden's philosophy is about the US needs to get out

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Speaker 4: of the of the you know, Islamic Holy Land, et cetera.

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Speaker 4: That he's got a point, and so it's really our fault.

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Speaker 4: I mean, we would have viewed that with abject scorn

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Speaker 4: and thought that the people that were pushing that line

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Speaker 4: were horrifically morally deranged. And that's what I think about

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Speaker 4: what's going on right now with these college kids, and

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Speaker 4: this is what has been I think, such a way

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Speaker 4: make up call for for so many people. There's there's

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Speaker 4: really it's very hard not to see what happened on

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Speaker 4: in Israel a couple of weeks ago and come away

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Speaker 4: from it thinking that it's in any way morally different

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Speaker 4: from or separate from Al kayeda isis the worst gie

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Speaker 4: hottist terror groups that we've dealt with over over recent decades.

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Speaker 4: And so, you know, how did we get to this place?

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Speaker 4: I mean, that's one aspect of it. I mean, I

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Speaker 4: think campus culture has been getting increasingly not not just

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Speaker 4: left wing, but kind of virulent and angry and really

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Speaker 4: feeding into the malcontents mental illness about reality and their

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Speaker 4: role in it. But for this to happen at a

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Speaker 4: place like GW or place like Harvard or I mean,

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Speaker 4: you go to the list these sorts of things are

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Speaker 4: occurring at very very well known schools is indicative of

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Speaker 4: how far this rot has spread. You know, there are

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Speaker 4: some interesting articles Clay that are showing PAMAS leadership and

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Speaker 4: Cutter and they you know, Cutters playing host of them.

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Speaker 4: You know, the Cutter has donated billions of dollars to

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Speaker 4: US universities over the last I think.

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Speaker 1: Last two decades. They hosted the World Cup.

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Speaker 4: Well sure, but I'm talking about it on college campuses specifically,

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Speaker 4: I'm talking about hundreds of millions of dollars donated from

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Speaker 4: Cutter to schools like Georgetown, like Cornell. You know, these

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Speaker 4: institutions funding schools of politics or schools of international relations,

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Speaker 4: et cetera.

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Speaker 1: And that's just Cutter. Same thing with Saudi.

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Speaker 4: You start to go out on the list some of

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Speaker 4: these Gulf state ties into academia and the funding of

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Speaker 4: these Middle East studies departments, and you know what kind

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Speaker 4: of professors are they hiring and this has been happening

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Speaker 4: a little bit under the surface, but Clay, when you

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Speaker 4: follow the money, you start to see that there has

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Speaker 4: been an influence of MIDI, this radicalization on these campuses

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Speaker 4: going back for twenty or thirty years now.

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Speaker 2: I Buck, I think it's a question that adults have

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Speaker 2: to be asking now. And I said earlier, I don't

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Speaker 2: like the idea of expelling students for sharing political opinions.

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Speaker 1: I think that's the wrong opinion. We talked about.

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Speaker 4: They're going to want to expel students for using the

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Speaker 4: wrong pronouns. As you know, this is the problem, this

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Speaker 4: is what we run up against. This is the precedent,

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Speaker 4: and look at UVA. Carol Markowitz mentioned this with us

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Speaker 4: earlier this week. I think when she came on that

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Speaker 4: University of Virginia expelled a student for criticizing BLM protests and.

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Speaker 1: Didn't actually even say the thing that she's alleged to

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Speaker 1: have correct.

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Speaker 2: Yes, but that is emblematic of the of the high stakes,

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Speaker 2: emotional world that can be created. So I don't like

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Speaker 2: the idea of expelling students, but I would say this,

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Speaker 2: and you're seeing this happen at the University of Pennsylvania,

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Speaker 2: you've seen it happen at Harvard. I do think it's

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Speaker 2: time for the donor class, for peopleeople out there who

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Speaker 2: are fortunate enough to have the resources to be able

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Speaker 2: to subsidize universities in education, to say we're pulling our donations.

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Speaker 2: And I would say this to anybody listening who has

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Speaker 2: resources that is donated to GW. There is something toxic

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Speaker 2: in the culture now. And this was not there buck

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Speaker 2: when I was a student. I can't imagine after nine

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Speaker 2: to eleven at GW they're being students who were saying.

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Speaker 1: America deserved it.

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Speaker 2: Now you've talked about it, some of the places that

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Speaker 2: around Amherst where you were, that that started to happen

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Speaker 2: now closely. To be fair, GW, you really were in

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Speaker 2: the center of everything. They thought the White House was

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Speaker 2: going to get struck. From the rooftop of a lot

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Speaker 2: of the GW dorms and apartment buildings in the area,

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Speaker 2: you could see the smoke from the Pentagon. It's very

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Speaker 2: close geographically. So this was something that people innately felt

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Speaker 2: in DC and New York City in a way that

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Speaker 2: didn't necessarily strike directly at the experience for everybody else.

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Speaker 2: But this to me is connected to the idea that

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Speaker 2: we're going to do away with the word colonials, or

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Speaker 2: we're going to coddle these kids and give legitimacy to

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Speaker 2: things that are untrue of what they believe, and it

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Speaker 2: has to be addressed.

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Speaker 4: I do think, because I know we run up against

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Speaker 4: this problem of if we start to empower, or rather

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Speaker 4: if we demand and support the campuses expel students for

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Speaker 4: saying they're you know, saying things that we think are

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Speaker 4: are you know, beyond the pale. We know the pendulum

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Speaker 4: will go in the other direction and they're going to say, oh, well,

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Speaker 4: if you don't support reparations, or if you don't support

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Speaker 4: the ELM, or you don't trans rights.

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Speaker 2: You point, you're not using pronouns correctly, we're going to

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Speaker 2: kick you out.

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Speaker 1: Of the school.

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Speaker 4: You're going to be removed from the school as well.

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Speaker 4: So I do think that, you know, if you're going

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Speaker 4: to be advocating for free speech on campus, that does

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Speaker 4: include speech that is grotesque, unfortunately. But I also think

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Speaker 4: there's a pretty clear line that can and that doesn't

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Speaker 4: mean that you know, there's not counter speech and there's

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Speaker 4: not this is you know, awful, and this look this

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Speaker 4: show in a sense of counter speech to what's going

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Speaker 4: on out there. But I think that there's something else

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Speaker 4: here too, because some of this stuff, and the left

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Speaker 4: has tried this with the you know, silence is violence,

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Speaker 4: but some of what is being advocated on campus really

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Speaker 4: is incitement to violence or or is walking right up

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Speaker 4: to that line, right calling for the extermination of people,

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Speaker 4: supporting violence against groups of people. And when you're putting

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Speaker 4: on the side of a building built by a Holocaust

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Speaker 4: survivor glory to our martyrs, that's getting very close to

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Speaker 4: creating a situation that is ripe for confrontation in a

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Speaker 4: physical way.

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Speaker 1: That's what I mean. You know, this is you know,

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Speaker 1: there is a line.

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Speaker 4: You're not a free speech absolutely know if you can

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Speaker 4: be a free speech absolutist or or you know, as

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Speaker 4: close as you can get to it, but still recognize

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Speaker 4: if someone stands on top of a car in front

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Speaker 4: of a mob and says, you know, go attack or

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Speaker 4: go kill the you know, the so and sos, that's

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Speaker 4: something else that's actually criminal. We you know, we have

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Speaker 4: this basis in law for this, and we have a

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Speaker 4: basis in law. You know, you know, free speed Obviously

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Speaker 4: people talk about threats against government officials, for example. I

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Speaker 4: mean that's you know, you claim free speech, you make

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Speaker 4: a threat against the president, You're going to prison. It's

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Speaker 4: not like it's not like that. There's a true absolutism

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Speaker 4: already that exists. And I do think that some of

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Speaker 4: what you're seeing on campus walks right up to that

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Speaker 4: line and maybe and crosses that line. I think that

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Speaker 4: you're crossing that line what you're saying that you know,

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Speaker 4: you support a mass murder that just occurred, and you want,

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Speaker 4: you know, more of those actions like that's now you know,

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Speaker 4: you have to look at the what the specifics are.

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Speaker 4: You have to look at what the actual verbiage is

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Speaker 4: being used. So that's one component of it in terms

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Speaker 4: of how I think the campuses should be reacting. And

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Speaker 4: to your point about the donations, you are seeing donors

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Speaker 4: pull back, and you know that more than more than

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Speaker 4: half of college donations come from people who who donate

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Speaker 4: over a million dollars.

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Speaker 1: It doesn't surprise me at all. MS carry a b

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Speaker 1: a big part of the donation load. Buck.

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Speaker 2: When I sold out Kick, I got a lot of

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Speaker 2: calls from everywhere I went to school, and GW was

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Speaker 2: hitting me up hitting me up, and I got a

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Speaker 2: call and I said, look, when they changed the word colonials,

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Speaker 2: this is.

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Speaker 1: This is again people thought. Some people were like, Oh,

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Speaker 1: you're crazy, what do you care about?

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Speaker 2: This is symptomatic of a root foundational issue that I

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Speaker 2: think is revealing itself now. And so for adults, I said, no,

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Speaker 2: I'm not going to donate to GW. I've got the

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Speaker 2: money to be able to do it. I appreciate my

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Speaker 2: time there, but I'm not going to don't I'm not

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Speaker 2: going to support and countenance the way that adults are

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Speaker 2: coddling kids. And I think there need to be a

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Speaker 2: lot of people doing this where there is a financial

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Speaker 2: incentive to actually return educational freedom. You know, I was

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Speaker 2: a history major buck at GW, and we used to

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Speaker 2: talk about in history classes how it was such a

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Speaker 2: Jewish dominated school that it felt like every history class

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Speaker 2: would ultimately somehow end up on the Holocaust. Right, you

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Speaker 2: could be in Black history and somehow you end up

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Speaker 2: on the Holocaust. You could be in the history of

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Speaker 2: the Civil War and somehow you end up in the Holocaust.

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Speaker 2: Because for GW, of all schools, to end up with this,

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Speaker 2: this level of.

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Speaker 1: Death of martyrs on a on a library.

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Speaker 2: If it can happen at GW, it can and is

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Speaker 2: happening at all of our elite And I'm not even

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Speaker 2: saying gw' is that elite, but it is a good

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Speaker 2: school at all of the high end. And seventy thousand

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Speaker 2: dollars a year parents are paying now as a scholarship kid.

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Speaker 1: It's crazy.

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Speaker 4: I mean, yeah, you know that's happening, happening at all

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Speaker 4: these institutions. If, by the way, if you have a

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Speaker 4: if you have a child, a kid, a young adult

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Speaker 4: on college campus, and they've told you your daughter, your

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Speaker 4: son has told you that they've seen some of this stuff,

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Speaker 4: we want to hear from you. Eight hundred and two

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Speaker 4: A two to eight A two support US funded resources

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Speaker 4: Pachecks on Air dot com.

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Speaker 2: Clay Travis and Buck Sexton chuck up a win for

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Speaker 2: Team Reality.

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Speaker 4: Second hour of play and Buck kicks off right now, everybody,

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Speaker 4: thank you for being here with us.

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Speaker 1: Some really.

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Speaker 4: Interesting numbers here coming out. Actually, I've got a bunch

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Speaker 4: of numbers that I want to get you today on

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Speaker 4: the show, some relating to immigration, some relating to migration

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Speaker 4: meaning within the US.

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Speaker 1: And here we have five.

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Speaker 4: This is the latest US census data. Five hundred and

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Speaker 4: forty five thousand, four hundred and ninety eight New Yorkers

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Speaker 4: left for other states in twenty twenty two.

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Speaker 2: I would be one of these individuals right, yes, close

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Speaker 2: to it, yep.

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Speaker 4: This is this is the the latest census data. So

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Speaker 4: this is I fall into this category. And look, I'll

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Speaker 4: say this, I still I still love New York like

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Speaker 4: I love New York City, I love New York State.

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Speaker 4: I think New York State is one of the most

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Speaker 4: beautiful places in you know, if you're in the right

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Speaker 4: parts of it in the country. I think New York

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Speaker 4: City is still the greatest city in America. But there

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Speaker 4: are reasons people have decided to start to go elsewhere.

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Speaker 4: I don't know if it'll be permanent for all of them.

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Speaker 4: Some of them, I'm sure we'll end not going back.

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Speaker 4: But I just want to give you the breakdown because

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Speaker 4: this is part of the big blue state to red

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Speaker 4: state migration that we have seen. Now it's interesting because

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Speaker 4: in the data, this is all US Census data, you

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Speaker 4: had about forty four thousand moved to Pennsylvania. So that's okay,

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Speaker 4: that's just right next door. Same thing, New Jersey, right

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Speaker 4: next door, seventy five thousand. A lot of people move

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Speaker 4: to New Jersey and then fifty thousand move to Connecticut.

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Speaker 4: Now that's partially I'm sure just what happens in New York.

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Speaker 4: I should look at what some of this on a

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Speaker 4: regular year, what it looks like. But people moved to

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Speaker 4: where they consider suburbs. You know, you can live in

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Speaker 4: the burbs, certainly in New Jersey and Connecticut and commute

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Speaker 4: into New York City and have you know, bigger house

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Speaker 4: and your tax situation, it's gonna be a little bit better.

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Speaker 2: And also Buck, probably a function of that is the

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Speaker 2: number of people who are work working remotely. They can

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Speaker 2: now if you only have to come in two days

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Speaker 2: a week to Manhattan, you might be willing to make

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Speaker 2: that commute two days a week, and you were never

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Speaker 2: willing to make it five days a week. So I

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Speaker 2: agree in those states like that's a lifestyle choice for

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Speaker 2: a lot of people.

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Speaker 1: Some people don't mind it.

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Speaker 4: I mean, I know people that commute two hours each

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Speaker 4: way to work every day and that's there.

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Speaker 2: Some of our staff has big trips in the New

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Speaker 2: York City studio.

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Speaker 4: I mean, I think if you can kind of get

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Speaker 4: into that zen state of just your reading, or you're

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Speaker 4: listening to podcasts or the Clay and Buck Show, Yes

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Speaker 4: it's what everyone should be listening to on their long commutes.

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Speaker 4: But I can understand for people don't mind that. You

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Speaker 4: get a lot of financial benefit, you get more more

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Speaker 4: value for your dollar.

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Speaker 1: Well, what's really interesting. This is what I was trying

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Speaker 1: to get, what was going to get to.

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Speaker 4: The number one of all states, number one state for

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Speaker 4: the five hundred and forty five thousand New Yorkers who left,

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Speaker 4: and remember they left in twenty twenty two. This isn't

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Speaker 4: height of the of the pandemic kind of stuff necessarily.

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Speaker 4: This is, you know, they've been there. They've been in

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Speaker 4: New York twenty twenty, twenty twenty one. Leaving in twenty

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Speaker 4: twenty two, ninety one thousand moved to Florida. So I'm

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Speaker 4: among the ninety one thousand. Ninety one thousand, two hundred

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Speaker 4: and one, thirty one thousand went to California, which is interesting,

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Speaker 4: and then thirty thousand went to Texas. Okay, so the

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Speaker 4: red state migration here is Texas thirty thousand, Florida ninety

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Speaker 4: one thousand. So Florida by far got the most New

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Speaker 4: York residents moving there in twenty twenty two. Big part

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Speaker 4: of that, Governor Ron DeSantis, how he runs this state.

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Speaker 4: I would note Donald Trump among the former New Yorkers

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Speaker 4: that are now full time Florida residents, and also Trump's

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Speaker 4: I think, well, certainly Ivanka and Don Junior.

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Speaker 1: Are Florida residents.

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Speaker 4: Now, I'm not sure if I think Eric might still

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Speaker 4: be a New York resident Eric Trump Anyway, There's been

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Speaker 4: a lot of movement, a lot of change for people

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Speaker 4: here and Clay, I think this trend is going to continue.

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Speaker 4: I don't know how these states planned to stop it.

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Speaker 4: I mean, even just today, Eric Adams is reminding everybody,

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Speaker 4: we can't take any more migrants.

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Speaker 1: The budget can handle it.

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Speaker 4: And we know what Democrats, their response in many places

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Speaker 4: to the flight of high earners is to try to

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Speaker 4: tax the earners who stay even more. Yes, and so

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Speaker 4: is you create this cycle of you're over taxing people.

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Speaker 4: This is what blue states like New York and can

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Speaker 4: also point out if you're a New Yorker who left

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Speaker 4: for California, because people always worry about this. In the

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Speaker 4: red states, they say, oh no, I don't want all

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Speaker 4: these New Yorkers. The New Yorkers who moved to Texas

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Speaker 4: and Florida are the Republicans. They're the much more likely

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Speaker 4: to be Republicans. New Yorkers who moved to California. You

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Speaker 4: might get some Democrats mixed in with that. That may

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Speaker 4: just be they want the better weather.

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Speaker 2: Yeah, and I would also think there's a lot of

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Speaker 2: cross pollination in general between New York and California. But

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Speaker 2: I think what you hit on is is the essence

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Speaker 2: of this COVID made red, redder and blue bluer. And

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Speaker 2: as someone who lives in a state, I can tell

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Speaker 2: you that as suddenly all these New Yorkers, all these Californians,

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Speaker 2: and all these Chicago area residents all moved into my neighborhood,

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Speaker 2: a lot of the people who've been here for several

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Speaker 2: years and lived here pre COVID are certainly like me,

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Speaker 2: or born and raised in a state like Tennessee, got nervous,

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Speaker 2: and so their license plate you'll see your church, you'll

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Speaker 2: see don't California my Texas, don't California my Tennessee. Because

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Speaker 2: there's a lot of fear in the Red States that

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Speaker 2: these people are like locusts. They've destroyed the place where

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Speaker 2: they live now and they are now coming somewhere else

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Speaker 2: to recavoc there. What I have seen in the state

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Speaker 2: of Tennessee is what you're saying, Buck. The people who

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Speaker 2: are leaving are coming, and they're actually sometimes redder than

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Speaker 2: the people who are already living in these communities, and

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Speaker 2: they're coming because they are desperate to get.

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Speaker 1: To some form of sanity.

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Speaker 2: And here is what I think the essence of this is, Buck,

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Speaker 2: I can't imagine anywhere in America that I would give

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Speaker 2: up fifteen percent of my income to live there. I'm

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Speaker 2: just being honest with you. I love the state of Tennessee.

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Speaker 2: If the state I'm born and raised, I'm forty four

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Speaker 2: years old, I've been here almost my entire life, other

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Speaker 2: than college and when I practiced law had the Caribbean

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Speaker 2: for a couple of years. If the state of Tennessee

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Speaker 2: came to me and they said, Clay, we're going to

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Speaker 2: take fifteen percent of your earnings, I would move to

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Speaker 2: Florida or Texas. And I think what happened was a

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Speaker 2: lot of high earners. And I would bet this is

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Speaker 2: the scary thing for New York, Buck. I bet if

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Speaker 2: you go look at those five hundred and forty five

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Speaker 2: thousand New Yorkers who left in the ninety one thousand

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Speaker 2: who went to Florida and the thirty thousand who went

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Speaker 2: to Texas, I bet there's some of the highest earners

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Speaker 2: in the state of New York. Because a lot of

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Speaker 2: people who make a lot of money and you know this. Initially,

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Speaker 2: when they worked on Wall Street, They're like, Oh, I've

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Speaker 2: got to be close to Wall Street, or I've got

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Speaker 2: to be close to New York City. My business wouldn't

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Speaker 2: work if I run private equity or I run a

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Speaker 2: hedge fund, and I weren't based in New York. And

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Speaker 2: then COVID happened, and everybody went all over the country

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Speaker 2: and they all worked remotely, and they found out that

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Speaker 2: the business still worked just as effectively. This was a

438
00:23:07,160 --> 00:23:10,600
Speaker 2: risk that those companies never would have taken, I don't think.

439
00:23:11,200 --> 00:23:14,119
Speaker 2: But then when COVID happens and everybody distributes not only

440
00:23:14,160 --> 00:23:16,679
Speaker 2: all over the country, but all over the world, and

441
00:23:16,720 --> 00:23:19,960
Speaker 2: the company seems continue to be profitable. A lot of

442
00:23:19,960 --> 00:23:23,160
Speaker 2: those guys, and they're mostly guys, I mean, think about this, buck.

443
00:23:23,280 --> 00:23:25,560
Speaker 2: If you are fortunate enough to be making ten million

444
00:23:25,600 --> 00:23:27,680
Speaker 2: dollars a year, and that's a lot of those hedge

445
00:23:27,720 --> 00:23:30,240
Speaker 2: fund guys, a lot of those private equity guys, you

446
00:23:30,359 --> 00:23:33,320
Speaker 2: gonna pay one and a half million dollars for the

447
00:23:33,320 --> 00:23:35,320
Speaker 2: privilege and the benefit of living in New York City

448
00:23:35,960 --> 00:23:39,560
Speaker 2: or la or Chicago, or or would you take the

449
00:23:39,640 --> 00:23:41,800
Speaker 2: one and a half million in your pocket? The more

450
00:23:41,840 --> 00:23:43,840
Speaker 2: money you make the crazier it is to be paying

451
00:23:43,840 --> 00:23:44,760
Speaker 2: state income tax.

452
00:23:44,880 --> 00:23:48,880
Speaker 1: So here you go. The top New York City rate.

453
00:23:48,840 --> 00:23:52,080
Speaker 4: Right now, I just looked this up, is they say

454
00:23:52,119 --> 00:23:55,840
Speaker 4: it's ten point nine, effectively eleven percent, and the top

455
00:23:56,040 --> 00:23:58,560
Speaker 4: city rate on top of that if you live in

456
00:23:58,560 --> 00:24:02,600
Speaker 4: New York City is three point eight, so it's it's

457
00:24:02,640 --> 00:24:04,960
Speaker 4: basically fourteen percent.

458
00:24:05,200 --> 00:24:07,400
Speaker 1: Yeah, So you're looking.

459
00:24:07,080 --> 00:24:13,679
Speaker 4: At a fifteen percent fifteen percent, yeah, tax rate if

460
00:24:14,200 --> 00:24:16,879
Speaker 4: you're considered a hire or a New York City and

461
00:24:16,920 --> 00:24:19,600
Speaker 4: you also because of this actually happened to the Trump administration,

462
00:24:19,760 --> 00:24:23,480
Speaker 4: the salt deduction got you got property.

463
00:24:23,080 --> 00:24:25,240
Speaker 1: Taxes are insane, that's right. You don't get to write

464
00:24:25,280 --> 00:24:25,920
Speaker 1: them off anymore.

465
00:24:25,960 --> 00:24:28,320
Speaker 4: You don't get to write off, you know, your mortgage

466
00:24:28,960 --> 00:24:31,439
Speaker 4: the same way you used to be able to. So

467
00:24:32,680 --> 00:24:35,880
Speaker 4: this means that the Blue states and blue cities, they've

468
00:24:35,920 --> 00:24:40,440
Speaker 4: created this problem because they have this massive, this massive

469
00:24:40,640 --> 00:24:43,800
Speaker 4: spending apparatus that is only going to want to spend

470
00:24:43,840 --> 00:24:45,959
Speaker 4: more and more and more. And it's really accommodation of

471
00:24:46,000 --> 00:24:50,800
Speaker 4: medicaid and government just government in general, government services very inefficient.

472
00:24:51,600 --> 00:24:55,200
Speaker 4: Mayor Adams is dealing with a New York City where

473
00:24:55,760 --> 00:24:58,159
Speaker 4: this is in the New York Post today. He said,

474
00:24:58,320 --> 00:25:00,240
Speaker 4: never in my life have I had a p ablem

475
00:25:00,240 --> 00:25:01,960
Speaker 4: that I did not see an ending to. I don't

476
00:25:01,960 --> 00:25:05,199
Speaker 4: see an ending to this. This issue will destroy New

477
00:25:05,320 --> 00:25:07,600
Speaker 4: York City. That's what he says about the migrant crisis.

478
00:25:07,640 --> 00:25:07,840
Speaker 1: Yep.

479
00:25:08,400 --> 00:25:11,600
Speaker 4: The polling here says fifty eight percent of New York City,

480
00:25:12,000 --> 00:25:15,119
Speaker 4: which is eighty something, they're going to have to start

481
00:25:15,119 --> 00:25:18,639
Speaker 4: cutting services. Cutting services means dirty your street. It's more crime,

482
00:25:19,119 --> 00:25:23,000
Speaker 4: you know, less people to provide the services that you're

483
00:25:23,000 --> 00:25:26,400
Speaker 4: supposedly paying the up to fifteen fourteen fifteen percent tax

484
00:25:26,480 --> 00:25:29,359
Speaker 4: rate for. And I think that these other states are

485
00:25:29,359 --> 00:25:32,400
Speaker 4: going to be major beneficiaries of it. The only thing

486
00:25:32,400 --> 00:25:34,040
Speaker 4: that I can see coming down the line for people

487
00:25:34,040 --> 00:25:35,960
Speaker 4: who as you know, right now, we've got people listening

488
00:25:35,960 --> 00:25:38,760
Speaker 4: in you know, Oklahoma and Texas and very red states.

489
00:25:38,800 --> 00:25:41,560
Speaker 4: You know, we're saying, ah, not my Tennessee, not my

490
00:25:41,640 --> 00:25:45,040
Speaker 4: problem New York. Right, they're going to want federal bailout

491
00:25:45,080 --> 00:25:48,119
Speaker 4: money down the line. They're going to want federal tax

492
00:25:48,200 --> 00:25:51,159
Speaker 4: dollars to shore up these failing cities. I mean, did

493
00:25:51,200 --> 00:25:55,399
Speaker 4: you even see I think James Woods shared this on

494
00:25:55,440 --> 00:25:59,600
Speaker 4: his Twitter account. It's a video of not I think

495
00:25:59,640 --> 00:26:01,920
Speaker 4: it's not up hill in San Francisco. Did you see

496
00:26:01,920 --> 00:26:02,760
Speaker 4: this making the rounds.

497
00:26:02,800 --> 00:26:05,160
Speaker 2: It's beautiful, one of the most wealthy parts of San

498
00:26:05,160 --> 00:26:07,840
Speaker 2: Francisco history, the most beautiful neighborhoods.

499
00:26:07,880 --> 00:26:09,920
Speaker 4: And then I remember, I've been to San Francisco. I'm

500
00:26:09,920 --> 00:26:13,280
Speaker 4: only San Francisco once. It's been a few days there,

501
00:26:13,320 --> 00:26:15,520
Speaker 4: just tour, just touring it as a tourist. Yeah, And

502
00:26:15,640 --> 00:26:17,959
Speaker 4: a couple of the places that I went because they

503
00:26:17,960 --> 00:26:19,359
Speaker 4: were so famous.

504
00:26:19,680 --> 00:26:21,000
Speaker 1: Are among the shuttered.

505
00:26:21,480 --> 00:26:23,800
Speaker 4: You know now the windows are all boarded up places

506
00:26:23,800 --> 00:26:27,639
Speaker 4: in non pill At some point, you would think the

507
00:26:27,680 --> 00:26:32,199
Speaker 4: Democrats would recognize that this is not it's not a

508
00:26:32,240 --> 00:26:34,720
Speaker 4: mystery why this is happening in these places. This is

509
00:26:34,880 --> 00:26:39,080
Speaker 4: cause and effect. D C, Washington, d C, where we

510
00:26:39,160 --> 00:26:43,400
Speaker 4: just were last week play the DC mayor is considering

511
00:26:44,000 --> 00:26:46,960
Speaker 4: trying to roll back some of the you know, crime

512
00:26:47,119 --> 00:26:50,400
Speaker 4: policies that basically soft on crime policies that they have

513
00:26:50,920 --> 00:26:54,480
Speaker 4: because they realize that this is becoming far too dangerous

514
00:26:54,520 --> 00:26:57,080
Speaker 4: for people in the city and and it's hurting business

515
00:26:57,160 --> 00:26:58,040
Speaker 4: and it's hurting people.

516
00:26:59,000 --> 00:27:04,040
Speaker 2: Murder highs in Washington, DC, where we just were, and look,

517
00:27:04,640 --> 00:27:06,920
Speaker 2: I know a lot of you out there are struggling

518
00:27:06,920 --> 00:27:10,320
Speaker 2: because suddenly you've got eight percent mortgages, And we talked

519
00:27:10,320 --> 00:27:16,040
Speaker 2: about yesterday. You got nine dollars frigging gallon of orange juice,

520
00:27:16,080 --> 00:27:20,480
Speaker 2: you got nine dollar cereals, and you're looking at if

521
00:27:20,520 --> 00:27:22,800
Speaker 2: you're in California or you're in New York and you're

522
00:27:22,800 --> 00:27:26,679
Speaker 2: paying fifteen percent effectively for the privilege of living in

523
00:27:26,720 --> 00:27:28,960
Speaker 2: New York City or LA. I think a lot of

524
00:27:29,000 --> 00:27:31,000
Speaker 2: people it's not the high earners, right. If you're a

525
00:27:31,040 --> 00:27:34,200
Speaker 2: ten million dollar guy, one and a half million extra

526
00:27:34,280 --> 00:27:37,960
Speaker 2: dollars is a lot of money. You're already wealthy if

527
00:27:38,000 --> 00:27:40,800
Speaker 2: your family makes one hundred thousand dollars a year, which,

528
00:27:40,840 --> 00:27:43,840
Speaker 2: as you pointed out, Buck, isn't that much money when

529
00:27:43,840 --> 00:27:46,119
Speaker 2: you consider how much it costs to live in New

530
00:27:46,200 --> 00:27:49,399
Speaker 2: York City. The amount of money that you're paying in

531
00:27:49,440 --> 00:27:55,199
Speaker 2: taxes is through the roof still, And I just I

532
00:27:55,240 --> 00:27:57,119
Speaker 2: think a lot of people are making the decision. As

533
00:27:57,200 --> 00:27:58,840
Speaker 2: much as you might like New York City, as much

534
00:27:58,840 --> 00:28:00,880
Speaker 2: as you might like Las, much much as you might

535
00:28:00,960 --> 00:28:03,320
Speaker 2: like Chicago, there are a lot of cities that are

536
00:28:03,400 --> 00:28:07,120
Speaker 2: really nice that aren't New York, LA or Chicago, And

537
00:28:07,760 --> 00:28:10,000
Speaker 2: many people are making the decision that it's better for

538
00:28:10,080 --> 00:28:12,760
Speaker 2: their families for them to be there. And this is

539
00:28:12,800 --> 00:28:15,399
Speaker 2: why I think we're actually going to be behind, and

540
00:28:15,440 --> 00:28:18,280
Speaker 2: this is going to be significant. Twenty twenty four, get

541
00:28:18,359 --> 00:28:21,800
Speaker 2: ready for this. Twenty twenty four, Trump or whomever the

542
00:28:21,840 --> 00:28:25,080
Speaker 2: nominee is as a Republican is going to win red

543
00:28:25,160 --> 00:28:28,439
Speaker 2: states by a margin that we have never seen before.

544
00:28:28,560 --> 00:28:31,440
Speaker 1: I think this is going to happen because so many people.

545
00:28:31,200 --> 00:28:34,280
Speaker 2: Who are from Illinois or New York or California that

546
00:28:34,359 --> 00:28:37,439
Speaker 2: might have voted red have moved into those states and

547
00:28:37,480 --> 00:28:40,240
Speaker 2: we're going to need to recalibrate in a big way.

548
00:28:40,280 --> 00:28:40,560
Speaker 1: Buck.

549
00:28:40,800 --> 00:28:42,240
Speaker 2: But we're not going to have a new census till

550
00:28:42,240 --> 00:28:46,400
Speaker 2: twenty thirty, So in twenty twenty four and twenty twenty eight,

551
00:28:47,000 --> 00:28:52,800
Speaker 2: they're going to be huge, massive, unseen before red state

552
00:28:53,000 --> 00:28:54,959
Speaker 2: wins for Republicans.

553
00:28:55,040 --> 00:28:57,760
Speaker 1: Like Florida is a perfect example. Or remember when everybody's.

554
00:28:57,400 --> 00:28:59,840
Speaker 2: Like twenty twenty oh, Florida is going to be close

555
00:28:59,880 --> 00:29:01,400
Speaker 2: and Trump won it by like three and a half

556
00:29:01,440 --> 00:29:03,960
Speaker 2: points or whatever it was. If Trump's the nominee, He's

557
00:29:03,960 --> 00:29:06,160
Speaker 2: going to win Florida by eight or nine points this year.

558
00:29:06,600 --> 00:29:10,040
Speaker 2: I mean, Florida is looking more like Alabama than it

559
00:29:10,080 --> 00:29:13,160
Speaker 2: is than it is Wisconsin, right in terms of how

560
00:29:13,160 --> 00:29:16,280
Speaker 2: close it's going to be, and that's going to be

561
00:29:16,280 --> 00:29:20,600
Speaker 2: a massive win. But the congressional seats are not going

562
00:29:20,680 --> 00:29:23,600
Speaker 2: to have been reallocated yet. For all these people that

563
00:29:23,680 --> 00:29:25,800
Speaker 2: say the New York's in the Californias of the world

564
00:29:25,840 --> 00:29:29,280
Speaker 2: are losing, I think by the twenty thirty census, we're

565
00:29:29,320 --> 00:29:31,320
Speaker 2: going to be trying to catch up to what the

566
00:29:31,360 --> 00:29:34,480
Speaker 2: reality of the COVID realignment has actually reflected.

567
00:29:34,920 --> 00:29:38,600
Speaker 4: Yeah, the long term implications for politics in America of

568
00:29:38,680 --> 00:29:42,280
Speaker 4: this event and of this realignment, of this movement, really

569
00:29:42,280 --> 00:29:44,720
Speaker 4: this migration of people. It's kind of like we talk

570
00:29:44,760 --> 00:29:47,160
Speaker 4: about the migrants all the time, and we have internal

571
00:29:47,240 --> 00:29:49,080
Speaker 4: migrants here in America and I'm one of them, from

572
00:29:49,120 --> 00:29:53,120
Speaker 4: New York to Florida and many other places. This is

573
00:29:53,160 --> 00:29:56,160
Speaker 4: going to it's going to change the you know, it's

574
00:29:56,160 --> 00:29:58,600
Speaker 4: going to change obviously congressional apportion mine, it's going to

575
00:29:58,680 --> 00:30:02,680
Speaker 4: change these state budgets. It's going to result, I think,

576
00:30:02,680 --> 00:30:05,959
Speaker 4: in some cities becoming even more boom towns than they

577
00:30:06,000 --> 00:30:10,600
Speaker 4: already are. But fundamentally, what I think is so with

578
00:30:10,680 --> 00:30:14,200
Speaker 4: all this going on, I don't think it's possible anymore

579
00:30:14,280 --> 00:30:16,440
Speaker 4: to make arguments that what Democrats have been doing in

580
00:30:16,480 --> 00:30:21,640
Speaker 4: these places is sensible, and for the most part, they're

581
00:30:21,680 --> 00:30:24,440
Speaker 4: just going to keep doing it. That's you know, we've

582
00:30:24,520 --> 00:30:27,120
Speaker 4: seen the results. It's like we've run the experiment play.

583
00:30:27,360 --> 00:30:29,360
Speaker 4: We've run it in New York, We've run it in DC,

584
00:30:29,480 --> 00:30:32,360
Speaker 4: We've run in Chicago, La, San Francisco, Portland. You know,

585
00:30:32,480 --> 00:30:35,240
Speaker 4: go down the list, and the people running those places

586
00:30:35,280 --> 00:30:37,880
Speaker 4: overwhelmingly go, yeah, this is just the way it's going

587
00:30:37,920 --> 00:30:38,120
Speaker 4: to be.

588
00:30:38,760 --> 00:30:41,840
Speaker 2: Well until they decide they need their own version of Juliani.

589
00:30:42,080 --> 00:30:44,840
Speaker 2: And that's where I think we're on the flywheel of progress.

590
00:30:45,000 --> 00:30:46,880
Speaker 2: One of the great analogies I like to use Bucks.

591
00:30:46,920 --> 00:30:50,200
Speaker 2: We get ready to finish off this segment. Google gets

592
00:30:50,200 --> 00:30:53,360
Speaker 2: better the more people who use Google, the search results,

593
00:30:53,400 --> 00:30:56,160
Speaker 2: everything else. The business becomes more effective the more people

594
00:30:56,200 --> 00:30:58,080
Speaker 2: who use it, because they've got a bigger data set,

595
00:30:58,080 --> 00:31:01,800
Speaker 2: bigger analysis set, they figure out what works. The reverse

596
00:31:01,880 --> 00:31:04,520
Speaker 2: is happening right now in every major Democrat run city.

597
00:31:05,040 --> 00:31:07,640
Speaker 2: The people that are helping to fund much of what

598
00:31:07,720 --> 00:31:10,560
Speaker 2: goes on there are leaving, and they've now got a

599
00:31:10,600 --> 00:31:14,800
Speaker 2: flywheel of negativity where every single day things are getting

600
00:31:14,960 --> 00:31:18,040
Speaker 2: a little bit worse, and you can't blame Donald Trump,

601
00:31:18,080 --> 00:31:21,120
Speaker 2: and you can't blame Republicans for it. Make your plans

602
00:31:21,160 --> 00:31:24,080
Speaker 2: to attend an information packed three day seminar the first

603
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Speaker 2: weekend in December. It's the invest Wealth Summit in Tampa

604
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Speaker 2: on Friday, Saturday, and Sunday.

605
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Speaker 1: That's December first through the third.

606
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Speaker 2: If you want to learn how to create financial freedom

607
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608
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Speaker 2: the invest Wealth Summit events organized by the team at

609
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610
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611
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612
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619
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Speaker 2: Wealthsummit dot Com today The website, invest Wealthsummit dot com

620
00:32:22,160 --> 00:32:27,200
Speaker 2: Learn and last weekdays with Clay Travis and Buck Sexton.

621
00:32:27,280 --> 00:32:30,280
Speaker 2: Appreciate all of you hanging out with all of us.

622
00:32:30,360 --> 00:32:33,360
Speaker 2: We're joined now talk a little bit about the huge

623
00:32:33,400 --> 00:32:37,160
Speaker 2: mess at our southern border and certainly a warning that's

624
00:32:37,200 --> 00:32:40,960
Speaker 2: out there about potential terrorists coming across our southern border,

625
00:32:41,000 --> 00:32:43,920
Speaker 2: giving what's going on in Israel right now, we've got

626
00:32:43,960 --> 00:32:47,280
Speaker 2: Attorney General of Texas Ken Paxton with us, suing the

627
00:32:47,280 --> 00:32:50,240
Speaker 2: Biden administration as he has been doing for several years

628
00:32:50,280 --> 00:32:53,080
Speaker 2: now to try to give Texas the autonomy to protect

629
00:32:53,200 --> 00:32:57,960
Speaker 2: its own borders. Mister Attorney General, appreciate you joining us. Congratulations.

630
00:32:58,000 --> 00:33:00,560
Speaker 2: I believe you are a Longhorns guy. So far, the

631
00:33:00,560 --> 00:33:03,480
Speaker 2: season's been pretty good, notwithstanding what happening.

632
00:33:03,520 --> 00:33:04,320
Speaker 1: It's Oklahoma.

633
00:33:05,240 --> 00:33:07,120
Speaker 3: It's been a fun, fun year, that's for sure.

634
00:33:08,000 --> 00:33:10,120
Speaker 2: So can you give us an update on what you

635
00:33:10,200 --> 00:33:12,760
Speaker 2: guys are doing to try to fight back against the

636
00:33:12,760 --> 00:33:16,040
Speaker 2: Biden administration at the southern border and also what the

637
00:33:16,040 --> 00:33:18,920
Speaker 2: Biden administration is trying to do to keep you from

638
00:33:18,960 --> 00:33:20,959
Speaker 2: protecting the southern border for Texas.

639
00:33:21,440 --> 00:33:23,640
Speaker 3: Yeah, it's pretty clear. I mean day one the Biden

640
00:33:23,640 --> 00:33:26,200
Speaker 3: administration their first day they came out and said we're

641
00:33:26,240 --> 00:33:29,280
Speaker 3: not deporting anybody, and then from there they sat to

642
00:33:29,320 --> 00:33:33,960
Speaker 3: dismantle every law and policy. It was effectively used by

643
00:33:34,000 --> 00:33:36,320
Speaker 3: the Trump administration to cut back on a legal immigration

644
00:33:36,840 --> 00:33:39,320
Speaker 3: and they have been successful at that. There. The increase

645
00:33:39,360 --> 00:33:42,760
Speaker 3: has been three to four hundred percent from what it

646
00:33:42,840 --> 00:33:46,400
Speaker 3: was into the Trump administration, and they have done everything

647
00:33:46,600 --> 00:33:50,280
Speaker 3: possible to aid and a bet the cartels, because now

648
00:33:50,280 --> 00:33:53,120
Speaker 3: the cartels know if they bring people to the boarder,

649
00:33:53,120 --> 00:33:55,120
Speaker 3: they don't have the hiding more. It's like they're not running,

650
00:33:55,160 --> 00:33:58,240
Speaker 3: they're not hiding no more sneaking across the border. They

651
00:33:58,280 --> 00:34:00,720
Speaker 3: just waved the flag and they try to fight border patrol,

652
00:34:01,320 --> 00:34:04,080
Speaker 3: and it's it's a pass off from from the from

653
00:34:04,120 --> 00:34:07,480
Speaker 3: the cartels who are making money on every person coming

654
00:34:07,520 --> 00:34:10,120
Speaker 3: across and making money in drugs and killing our children,

655
00:34:10,600 --> 00:34:12,279
Speaker 3: and they pass it off to the Biden administration. So

656
00:34:12,280 --> 00:34:15,000
Speaker 3: we've tried to sue them over these issues. We probably

657
00:34:15,000 --> 00:34:18,319
Speaker 3: have seventeen lossuits going right now, and we just sued

658
00:34:18,360 --> 00:34:22,319
Speaker 3: them over them cutting our wires and our senses, which

659
00:34:22,360 --> 00:34:24,000
Speaker 3: is hard to believe. I mean, we've seen that, we've

660
00:34:24,000 --> 00:34:26,480
Speaker 3: seen the video of it. It's hard to believe. That

661
00:34:26,520 --> 00:34:30,600
Speaker 3: the federal government would would inhibit us from keeping people

662
00:34:30,600 --> 00:34:31,399
Speaker 3: from crossing the border.

663
00:34:31,480 --> 00:34:35,719
Speaker 4: But they are, Yeah, what is their reasoning for this?

664
00:34:35,760 --> 00:34:39,600
Speaker 4: I mean, like this should be something that in a

665
00:34:39,680 --> 00:34:43,279
Speaker 4: normal world or in a sane world, the Biden administration

666
00:34:43,400 --> 00:34:46,600
Speaker 4: is saying, thanks for trying to help secure the border Texas.

667
00:34:46,760 --> 00:34:49,160
Speaker 4: But instead they make you take down the I know,

668
00:34:49,280 --> 00:34:52,960
Speaker 4: razor wire also, I think floating barriers and the Rio Grande,

669
00:34:53,000 --> 00:34:55,960
Speaker 4: right that this has been something else that they've on

670
00:34:56,000 --> 00:34:59,200
Speaker 4: What basis do they because it seems to everybody turning

671
00:34:59,280 --> 00:35:01,719
Speaker 4: General Packson like they clearly just want to make it

672
00:35:01,719 --> 00:35:03,720
Speaker 4: easier for people to come into the country illegally.

673
00:35:04,400 --> 00:35:06,520
Speaker 3: When you cut wire down, That's exactly what you're doing, right,

674
00:35:06,520 --> 00:35:09,279
Speaker 3: I mean there's I mean, it's not like people can't

675
00:35:09,280 --> 00:35:12,720
Speaker 3: go the people that think they can get through border patrols.

676
00:35:12,760 --> 00:35:14,799
Speaker 3: You know, ninety five percent of the people tournament turn

677
00:35:14,840 --> 00:35:17,880
Speaker 3: themselves into border patrols. So these are people that couldn't

678
00:35:17,880 --> 00:35:19,920
Speaker 3: get to there or the cartels didn't want to take

679
00:35:19,960 --> 00:35:22,359
Speaker 3: them there for some reason. And for them to like

680
00:35:22,480 --> 00:35:25,040
Speaker 3: cut our wire, I mean that tells you how extreme

681
00:35:25,520 --> 00:35:28,520
Speaker 3: the Biden position is. It's like, hey, we're not getting

682
00:35:28,600 --> 00:35:31,560
Speaker 3: enough people in. There's you know, but millions have come in.

683
00:35:31,880 --> 00:35:34,800
Speaker 3: We need even more. So let's cut down what Texas

684
00:35:34,880 --> 00:35:37,319
Speaker 3: is doing and allow even more in. I think we

685
00:35:37,400 --> 00:35:39,759
Speaker 3: have to come to grips with the cartels and the

686
00:35:39,760 --> 00:35:43,759
Speaker 3: Biden administration are not our friends are They are doing

687
00:35:43,800 --> 00:35:47,520
Speaker 3: things that are harming the country on purpose. Texas, on

688
00:35:47,520 --> 00:35:50,359
Speaker 3: the other hand, is trying to defend our border, and

689
00:35:50,440 --> 00:35:54,920
Speaker 3: so we're kind of in a immigration war, illegal immigration

690
00:35:54,960 --> 00:35:58,080
Speaker 3: war with the cartels teaming up with the Biden administration

691
00:35:58,239 --> 00:36:00,600
Speaker 3: and the rest of us are left hold the bag

692
00:36:00,640 --> 00:36:02,640
Speaker 3: and the negative consequences of what they're doing.

693
00:36:03,280 --> 00:36:06,600
Speaker 2: We're talking to Attorney General Ken Paxton of Texas. The

694
00:36:06,680 --> 00:36:11,280
Speaker 2: situation in Israel is obviously an incredibly tumultuous one.

695
00:36:11,760 --> 00:36:15,640
Speaker 1: But the border, now, given that there are threats that are.

696
00:36:15,520 --> 00:36:20,840
Speaker 2: Occurring all around the globe, it would be comparatively easy

697
00:36:21,000 --> 00:36:24,640
Speaker 2: for terrorists to come across our southern border. We know

698
00:36:24,719 --> 00:36:28,960
Speaker 2: that it only took nineteen terrorists in to inflict nine

699
00:36:29,000 --> 00:36:31,080
Speaker 2: to eleven in terms of people who were actually in

700
00:36:31,160 --> 00:36:35,120
Speaker 2: the United States. How concerned do you think Americans, whether

701
00:36:35,160 --> 00:36:39,240
Speaker 2: they live in Texas or elsewhere, should be about terrorists

702
00:36:39,320 --> 00:36:42,840
Speaker 2: coming across our unsecured southern border. They can watch the

703
00:36:42,840 --> 00:36:45,160
Speaker 2: news just like everybody else. They can see that it

704
00:36:45,239 --> 00:36:46,879
Speaker 2: is not difficult to get in now.

705
00:36:47,520 --> 00:36:50,719
Speaker 3: Well, it's just true that terrorists are coming across border

706
00:36:50,800 --> 00:36:53,600
Speaker 3: now more than they ever have. They know there's an

707
00:36:53,600 --> 00:36:56,120
Speaker 3: open border, and you know, just the numbers that the

708
00:36:56,160 --> 00:36:58,480
Speaker 3: fellow government has showing that they know. I think they

709
00:36:58,560 --> 00:37:00,000
Speaker 3: caught like one hundred and fifty one in the way

710
00:37:00,040 --> 00:37:02,759
Speaker 3: last six months. That's more than they've caught in the

711
00:37:02,800 --> 00:37:08,040
Speaker 3: last six other measuring cycles. So we know that the

712
00:37:08,160 --> 00:37:12,120
Speaker 3: numbers have been increasing. We also know we don't catch everybody,

713
00:37:12,640 --> 00:37:15,359
Speaker 3: and so the Biden administration knows this as well. They

714
00:37:16,040 --> 00:37:19,560
Speaker 3: I guess, I guess I know that they've come to

715
00:37:19,680 --> 00:37:22,400
Speaker 3: terms with this and realize that they are going to

716
00:37:22,400 --> 00:37:25,200
Speaker 3: be terrorists in our country, and they've they've decided that's

717
00:37:25,280 --> 00:37:27,560
Speaker 3: worth it for whatever they're getting out of the legal immigration.

718
00:37:27,680 --> 00:37:30,880
Speaker 3: So I'm sad to say that they're willing to have

719
00:37:31,000 --> 00:37:33,040
Speaker 3: terrorists in our country so that they can get as

720
00:37:33,040 --> 00:37:36,400
Speaker 3: many illegal immigrations immigrants into our country as fast as possible.

721
00:37:36,440 --> 00:37:38,680
Speaker 3: They are willing to make the trade off, just like

722
00:37:38,719 --> 00:37:40,480
Speaker 3: they're willing to make the trade off on sent all over.

723
00:37:40,560 --> 00:37:43,080
Speaker 3: This is for our kids and our kids dying. They

724
00:37:43,120 --> 00:37:46,080
Speaker 3: have made that calculation and said, yes, it's worth it

725
00:37:46,080 --> 00:37:46,439
Speaker 3: to us.

726
00:37:47,400 --> 00:37:49,880
Speaker 4: Now when you look at New York City for the

727
00:37:49,960 --> 00:37:56,240
Speaker 4: general fact, and they're feeling very clearly the financial burden

728
00:37:56,560 --> 00:38:00,320
Speaker 4: of migrants that have been busted there from Texas, and

729
00:38:00,600 --> 00:38:03,360
Speaker 4: they're saying that it might be something like twelve billion

730
00:38:03,440 --> 00:38:05,560
Speaker 4: dollars that the city has to spend that's just one

731
00:38:05,640 --> 00:38:09,200
Speaker 4: city or just the city over the next three years

732
00:38:09,239 --> 00:38:12,080
Speaker 4: to deal with this. I'm wondering, I mean, Texas still

733
00:38:12,120 --> 00:38:14,839
Speaker 4: gets a lot of and still has a lot of

734
00:38:14,880 --> 00:38:18,080
Speaker 4: illegal migrants who stay in the state. Do you have

735
00:38:18,120 --> 00:38:21,759
Speaker 4: some sense of what the what the cost is both

736
00:38:21,760 --> 00:38:25,280
Speaker 4: in terms of money and also just a criminal justice system,

737
00:38:25,360 --> 00:38:28,719
Speaker 4: healthcare system. I mean, what, what are some of the numbers,

738
00:38:28,600 --> 00:38:30,760
Speaker 4: as you might be able to lay them out for us.

739
00:38:31,160 --> 00:38:33,279
Speaker 3: Well, I can tell you this, it's I don't think

740
00:38:33,320 --> 00:38:35,719
Speaker 3: anybody knows the true costs because I mean, you've got

741
00:38:35,840 --> 00:38:38,800
Speaker 3: education costs, we got healthcare costs, we've got law enforcement costs,

742
00:38:39,040 --> 00:38:42,160
Speaker 3: we have other social costs of you know, drug overdoses,

743
00:38:42,239 --> 00:38:46,040
Speaker 3: and it's it's I don't think anybody's actually truly measured

744
00:38:46,080 --> 00:38:47,640
Speaker 3: this but I do know this. You know, we get

745
00:38:47,680 --> 00:38:50,720
Speaker 3: what six seven thousand people a day coming in across

746
00:38:50,760 --> 00:38:53,880
Speaker 3: the border in Texas, and New York gets you know

747
00:38:54,000 --> 00:38:56,759
Speaker 3: what do they get? Maybe that many a year? And

748
00:38:56,800 --> 00:39:00,560
Speaker 3: the Biden administration has been shifting all federal aid to

749
00:39:00,840 --> 00:39:04,040
Speaker 3: places like New York City and Chicago, the Democratic cities

750
00:39:04,400 --> 00:39:08,040
Speaker 3: who don't have nearly the number of people coming to

751
00:39:08,080 --> 00:39:10,960
Speaker 3: their city as we do coming to our state. So

752
00:39:11,000 --> 00:39:15,040
Speaker 3: the Biden administration has done more to help them because

753
00:39:15,040 --> 00:39:17,920
Speaker 3: of the I guess they're liberal politics, than they have

754
00:39:18,040 --> 00:39:20,400
Speaker 3: to help the people of Texas. The people of Arizona

755
00:39:20,880 --> 00:39:23,799
Speaker 3: have been left basically stranded by the Biden administration to

756
00:39:23,800 --> 00:39:28,600
Speaker 3: deal with the overwhelming costs. It's billions and billions and billions.

757
00:39:28,719 --> 00:39:31,560
Speaker 3: I just know we spend I know what we directly spend.

758
00:39:32,360 --> 00:39:34,480
Speaker 3: We spend billions of dollars trying to defend our border.

759
00:39:34,600 --> 00:39:36,360
Speaker 3: But that doesn't count all the other costs. But I

760
00:39:36,360 --> 00:39:38,640
Speaker 3: don't think have been measured very well yet.

761
00:39:39,480 --> 00:39:44,719
Speaker 2: Democrats Attorney General Paxton trying to turn Texas purple for

762
00:39:44,800 --> 00:39:47,560
Speaker 2: a long time. We were talking earlier in the show,

763
00:39:47,560 --> 00:39:49,279
Speaker 2: and I'm curious if you have any data on this,

764
00:39:49,320 --> 00:39:53,360
Speaker 2: because you've been through quite a few statewide races yourself. Now,

765
00:39:54,040 --> 00:39:56,640
Speaker 2: the state of New York lost five hundred and forty

766
00:39:56,719 --> 00:39:58,080
Speaker 2: five thousand.

767
00:39:57,640 --> 00:39:59,319
Speaker 1: New Yorkers in the last year.

768
00:40:00,239 --> 00:40:04,040
Speaker 2: States thirty thousand of those people moved to Texas.

769
00:40:04,080 --> 00:40:06,920
Speaker 1: I live in Tennessee. Buck now lives in Florida.

770
00:40:07,280 --> 00:40:10,080
Speaker 2: There's a lot of fear in red states that the

771
00:40:10,120 --> 00:40:12,880
Speaker 2: people who are moving in are going to change the

772
00:40:12,960 --> 00:40:16,640
Speaker 2: politics there. Do you have any read on what these

773
00:40:16,760 --> 00:40:19,480
Speaker 2: people who are moving from New York and other states?

774
00:40:19,480 --> 00:40:21,960
Speaker 2: I know Texas has got a ton of Californians. Are

775
00:40:22,000 --> 00:40:24,080
Speaker 2: they more likely to vote red or are they more

776
00:40:24,200 --> 00:40:26,239
Speaker 2: likely to vote blue? Do you have any sense on

777
00:40:26,280 --> 00:40:28,960
Speaker 2: what these transplants are doing the state of Texas politics?

778
00:40:29,440 --> 00:40:31,279
Speaker 3: Honestly, I think I think a lot of people are

779
00:40:31,320 --> 00:40:34,160
Speaker 3: moving here, are living here because they're trying to escape

780
00:40:34,400 --> 00:40:37,680
Speaker 3: bad policies, higher taxes, and of these other states. So

781
00:40:37,719 --> 00:40:40,239
Speaker 3: I'm not convinced that that's hurting us as much as

782
00:40:40,239 --> 00:40:43,000
Speaker 3: people say. What I'm more worried about is the fact

783
00:40:43,040 --> 00:40:45,879
Speaker 3: that now we can't prosecute voter fraud because our Republican

784
00:40:46,280 --> 00:40:48,719
Speaker 3: Court of Criminal Appeals, other than a guy named Kevin Eeri,

785
00:40:49,120 --> 00:40:51,720
Speaker 3: is made up of nine members struck down a statue

786
00:40:51,760 --> 00:40:54,840
Speaker 3: from nineteen fifty one that directed the Trained General to

787
00:40:54,840 --> 00:40:57,880
Speaker 3: prosecute voter fraud, and they came in the Court of

788
00:40:57,880 --> 00:41:00,680
Speaker 3: Criminal Field, which is our highest court on Chrola, and

789
00:41:00,719 --> 00:41:03,920
Speaker 3: said it was the unconstitutional because the Attorney General of

790
00:41:03,960 --> 00:41:08,160
Speaker 3: Texas is in the executive branches. It is not allowed

791
00:41:08,160 --> 00:41:10,719
Speaker 3: because the separation of powers to go into court. That

792
00:41:10,920 --> 00:41:13,800
Speaker 3: was their reasoning. It's insane. But it now has created

793
00:41:13,840 --> 00:41:17,320
Speaker 3: a huge column because now local das have to proscue

794
00:41:17,360 --> 00:41:19,719
Speaker 3: voter fraud. And the local das and the big cities

795
00:41:20,160 --> 00:41:23,960
Speaker 3: like Austin and Houston and San Antonio are funded and

796
00:41:24,000 --> 00:41:26,879
Speaker 3: paid for by George soros Sell never proscue voter fraud.

797
00:41:27,280 --> 00:41:29,439
Speaker 3: That is a bigger concern to me than anything else

798
00:41:29,520 --> 00:41:29,759
Speaker 3: going on.

799
00:41:30,760 --> 00:41:34,560
Speaker 2: Attorney General Ken Paxton, keep fighting for Texans and Americans

800
00:41:34,600 --> 00:41:36,560
Speaker 2: with functional brains all over the country.

801
00:41:36,600 --> 00:41:37,319
Speaker 1: We appreciate you.

802
00:41:37,800 --> 00:41:39,560
Speaker 3: Hey, thanks Lott, you got to have a great day.

803
00:41:40,600 --> 00:41:42,680
Speaker 2: Born for the tragedy of nine to eleven. Tunnel with

804
00:41:42,719 --> 00:41:46,160
Speaker 2: Towers Foundations committed to helping our families, heroes and their

805
00:41:46,239 --> 00:41:50,800
Speaker 2: families in the darkest hours when a first responder, a

806
00:41:50,880 --> 00:41:53,800
Speaker 2: veteran doesn't return home leaves behind a young family. Tunnel

807
00:41:53,800 --> 00:41:56,640
Speaker 2: the Tower supports them, the Foundation pays off their mortgages,

808
00:41:56,680 --> 00:41:59,320
Speaker 2: the lifts their financial burdens through the gold Star Family

809
00:41:59,360 --> 00:42:04,640
Speaker 2: Home Program, and fallen First Responder Smart Program. Through the

810
00:42:04,680 --> 00:42:08,640
Speaker 2: Smart Home Program, severely injured veterans and first responders regained

811
00:42:08,640 --> 00:42:12,200
Speaker 2: their independence mortgage free home specially adapted to meet their

812
00:42:12,280 --> 00:42:15,440
Speaker 2: unique physical needs. Let me also tell you something. I

813
00:42:15,560 --> 00:42:18,280
Speaker 2: was at the big fundraiser that they did at Liberty

814
00:42:18,360 --> 00:42:21,440
Speaker 2: National up in New York City last couple of weeks.

815
00:42:21,680 --> 00:42:26,399
Speaker 2: They had three different moms, three different wives who had

816
00:42:26,440 --> 00:42:30,280
Speaker 2: lost their husbands, stand up and talk in that event,

817
00:42:30,320 --> 00:42:33,920
Speaker 2: which raised several million dollars about what Tunnel the Towers

818
00:42:33,960 --> 00:42:34,880
Speaker 2: had done for them.

819
00:42:34,960 --> 00:42:35,120
Speaker 5: All.

820
00:42:35,200 --> 00:42:38,839
Speaker 2: These moms had young kids when their husbands died, and

821
00:42:38,880 --> 00:42:41,719
Speaker 2: they were devastated, as you can well imagine, and they

822
00:42:41,800 --> 00:42:44,239
Speaker 2: couldn't even comprehend how they were going to be able

823
00:42:44,280 --> 00:42:47,360
Speaker 2: to take care of those young kids that they were raising.

824
00:42:47,760 --> 00:42:51,440
Speaker 2: Tunnel of Towers and Frank Siller stepped up and paid

825
00:42:51,520 --> 00:42:55,480
Speaker 2: off the mortgages on every single one of those moms homes,

826
00:42:56,040 --> 00:42:58,080
Speaker 2: and they came and told us what a huge difference

827
00:42:58,120 --> 00:43:01,800
Speaker 2: it made for their recovery. They are really doing good.

828
00:43:01,920 --> 00:43:04,560
Speaker 2: If you're frustrated about the direction of the country and

829
00:43:04,600 --> 00:43:06,920
Speaker 2: the fact that there just doesn't seem to be that

830
00:43:07,120 --> 00:43:10,200
Speaker 2: much positivity out there, let me tell you the total

831
00:43:10,200 --> 00:43:13,439
Speaker 2: of the Towers. People are doing God's work. They are

832
00:43:13,480 --> 00:43:16,719
Speaker 2: doing an incredible job. Remember their goal is to do

833
00:43:16,760 --> 00:43:19,879
Speaker 2: good and never forget. Donate eleven dollars a month. Join

834
00:43:19,960 --> 00:43:23,120
Speaker 2: Buck and myself in donating to this great organization at

835
00:43:23,160 --> 00:43:26,600
Speaker 2: t twot dot org. That's t the number two t

836
00:43:27,120 --> 00:43:27,640
Speaker 2: dot org.

837
00:43:28,480 --> 00:43:32,240
Speaker 1: You don't know what you don't know right, but you could.

838
00:43:32,560 --> 00:43:36,040
Speaker 1: On the Sunday Hang with Clay and Buck podcast.

839
00:43:35,640 --> 00:43:37,960
Speaker 4: Welcome back, everybody. We got our friend Miranda Devine with

840
00:43:38,040 --> 00:43:40,160
Speaker 4: us now from the New York Post, where she's a

841
00:43:40,160 --> 00:43:44,319
Speaker 4: columnist also the author of Laptop from Hell. Miranda, great

842
00:43:44,360 --> 00:43:46,399
Speaker 4: to talk. You've got a couple of things to run

843
00:43:46,440 --> 00:43:48,160
Speaker 4: by you today. Thanks for being with us.

844
00:43:48,480 --> 00:43:49,719
Speaker 5: Oh, great to be wesky both.

845
00:43:50,280 --> 00:43:51,719
Speaker 1: So let's start with this one.

846
00:43:52,239 --> 00:43:55,560
Speaker 4: There was some reporting on Joe Biden paying two point

847
00:43:55,640 --> 00:43:59,840
Speaker 4: seventy five million dollars cash for his Rehobeth Beach house,

848
00:44:00,640 --> 00:44:04,319
Speaker 4: and there's also some stuff out there about money moving

849
00:44:04,360 --> 00:44:08,719
Speaker 4: around between various members of the Biden family. Basically, to

850
00:44:08,760 --> 00:44:11,440
Speaker 4: take this at the thirty thousand foot level, is the

851
00:44:11,520 --> 00:44:14,680
Speaker 4: money trail starting to become a bigger problem for the

852
00:44:14,680 --> 00:44:18,160
Speaker 4: Biden family or is this still kind of status quo.

853
00:44:19,600 --> 00:44:22,239
Speaker 5: Look, I think it's a real problem for them. And

854
00:44:23,040 --> 00:44:28,440
Speaker 5: James Comer, the House Oversight Committee chairman, is just dogged.

855
00:44:28,680 --> 00:44:30,960
Speaker 5: He's like a dog with a bone. He has a

856
00:44:31,000 --> 00:44:35,759
Speaker 5: background in banking, and he's just doing the pursuit of

857
00:44:35,800 --> 00:44:39,319
Speaker 5: the money. He's following the money trail, and he's, you know,

858
00:44:39,440 --> 00:44:41,560
Speaker 5: every now and then he just comes up with gold

859
00:44:42,080 --> 00:44:46,480
Speaker 5: and added together, what it gives you is a picture

860
00:44:46,760 --> 00:44:51,759
Speaker 5: of something very different about Joe Biden's involvement in the

861
00:44:51,800 --> 00:44:56,440
Speaker 5: family's influence peddling operation. He has claimed he knew nothing

862
00:44:56,520 --> 00:45:01,680
Speaker 5: about it. Squeaky clean, modest, Joe, honest, Joe, you know,

863
00:45:01,880 --> 00:45:04,839
Speaker 5: the poorest man in Congress. And in fact, what we

864
00:45:04,920 --> 00:45:08,240
Speaker 5: see is money changing hands between him and his brother

865
00:45:08,400 --> 00:45:10,680
Speaker 5: two hundred thousand dollars. They say it was a loan,

866
00:45:12,520 --> 00:45:15,479
Speaker 5: but there's no evidence that it's alone. The White House

867
00:45:15,560 --> 00:45:21,799
Speaker 5: is demanding that James Comer produce some other document that

868
00:45:21,880 --> 00:45:24,600
Speaker 5: shows that it's alone. But why don't, why don't What

869
00:45:24,760 --> 00:45:29,400
Speaker 5: doesn't the White House produce these documents if they're supposedly exculpatory.

870
00:45:30,200 --> 00:45:34,040
Speaker 5: And then you know the case about Joe Biden paid

871
00:45:34,120 --> 00:45:37,720
Speaker 5: three million dollars in cash for that rehob Beach house

872
00:45:37,760 --> 00:45:41,040
Speaker 5: that he's always at on weekends, and that was he

873
00:45:41,160 --> 00:45:47,000
Speaker 5: paid that just seven weeks before. We didn't pay it.

874
00:45:47,080 --> 00:45:51,320
Speaker 5: The house was bought just seven weeks before. Hunter Biden

875
00:45:52,080 --> 00:45:56,680
Speaker 5: sent that insistent, kind of desperate shakedown WhatsApp to a

876
00:45:56,800 --> 00:46:01,080
Speaker 5: Chinese associate demanding money and saying that he was sitting

877
00:46:01,120 --> 00:46:05,440
Speaker 5: next to his father and that his father was also

878
00:46:05,719 --> 00:46:09,839
Speaker 5: demanding to know why the commitment made for this ten

879
00:46:09,880 --> 00:46:13,880
Speaker 5: million dollar deal had not been fulfilled, had not been paid.

880
00:46:13,920 --> 00:46:17,680
Speaker 5: And then within a couple of weeks money started being

881
00:46:17,719 --> 00:46:22,439
Speaker 5: paid from these Chinese associates. And then a few weeks

882
00:46:22,480 --> 00:46:26,320
Speaker 5: after that, Joe Biden pays cash for this Rehoboth Beach house.

883
00:46:26,719 --> 00:46:32,600
Speaker 5: Now you know that's circumstantial evidence, but it's still raises questions.

884
00:46:32,920 --> 00:46:35,360
Speaker 5: You have to say to Joe Biden, where did you

885
00:46:35,400 --> 00:46:38,440
Speaker 5: get the money? And it's really you know, if he

886
00:46:38,480 --> 00:46:44,520
Speaker 5: doesn't want these rumors and theories to be abounding. Every

887
00:46:44,560 --> 00:46:49,279
Speaker 5: time there's a new sort of dodgy financial transaction dug

888
00:46:49,360 --> 00:46:52,719
Speaker 5: up by James Comer. Then I don't understand why the

889
00:46:52,760 --> 00:46:56,319
Speaker 5: White House just doesn't come clean and say, look, that's

890
00:46:56,400 --> 00:47:00,680
Speaker 5: completely innocent. Here are the loan papers, here's the evidence

891
00:47:00,719 --> 00:47:04,480
Speaker 5: that Joe Biden got alone from his brother and was

892
00:47:04,520 --> 00:47:09,160
Speaker 5: paying it back or the other way around. Hiss, you

893
00:47:09,200 --> 00:47:12,759
Speaker 5: know Joe Biden paid cash for this beach house because

894
00:47:13,239 --> 00:47:17,839
Speaker 5: he came into an inheritance or something. You know, just

895
00:47:18,080 --> 00:47:24,319
Speaker 5: tell us explain why, and stop acting all outraged that

896
00:47:24,440 --> 00:47:27,760
Speaker 5: people are questioning your integrity because this is a president

897
00:47:27,800 --> 00:47:32,560
Speaker 5: who lies about everything and whose family has accepted that's

898
00:47:33,200 --> 00:47:37,960
Speaker 5: completely proven, has taken in millions of dollars from America's

899
00:47:38,000 --> 00:47:40,880
Speaker 5: adversaries while while Joe Biden was Vice president.

900
00:47:41,440 --> 00:47:43,600
Speaker 2: Miranda, what did you thanks for joining us here? What

901
00:47:43,640 --> 00:47:46,200
Speaker 2: did you think about the New York Times admitting that

902
00:47:46,239 --> 00:47:50,640
Speaker 2: they over relied on a Hamas report about a hospital

903
00:47:50,640 --> 00:47:54,760
Speaker 2: getting hit. It's basically an apology. How many other things

904
00:47:54,760 --> 00:47:56,880
Speaker 2: do you think the New York Times should apologize on.

905
00:47:57,000 --> 00:47:59,160
Speaker 2: I don't think they've returned any of the Politzers they

906
00:47:59,200 --> 00:48:02,480
Speaker 2: won for the Russia pollution wise, I certainly don't think

907
00:48:02,520 --> 00:48:05,279
Speaker 2: they've ever issued a public apology about the way they

908
00:48:05,320 --> 00:48:09,800
Speaker 2: covered the New York Post's expose on the Hunter Biden laptop.

909
00:48:10,600 --> 00:48:12,600
Speaker 2: There's any number of things out there that The New

910
00:48:12,680 --> 00:48:16,520
Speaker 2: York Times has clearly failed when a COVID coverage, for sure,

911
00:48:17,040 --> 00:48:19,359
Speaker 2: what did you think about that acknowledgment and what does

912
00:48:19,400 --> 00:48:22,280
Speaker 2: it say that they did acknowledge errors there?

913
00:48:23,360 --> 00:48:27,239
Speaker 5: Well, look, it was barely an apology, and it was

914
00:48:27,360 --> 00:48:31,040
Speaker 5: obvious from the start that they should have been cautious

915
00:48:31,239 --> 00:48:38,719
Speaker 5: about reporting on that Hamas hospital strike, which basically was

916
00:48:39,040 --> 00:48:42,759
Speaker 5: Hammers's own missiles, and it was in the car park,

917
00:48:42,880 --> 00:48:45,000
Speaker 5: so you could just call it a car park fire,

918
00:48:45,400 --> 00:48:49,120
Speaker 5: parking lot fire. You know, they lied Hammers and said

919
00:48:49,480 --> 00:48:52,480
Speaker 5: I think seven hundred people had died, children had died.

920
00:48:52,760 --> 00:48:55,960
Speaker 5: It was just all lies. And as usual the New

921
00:48:56,000 --> 00:49:00,600
Speaker 5: York Times, when it suits their ideology, they are incredibly gullible.

922
00:49:00,680 --> 00:49:05,680
Speaker 5: They just take these terrorists at their word, just like

923
00:49:05,840 --> 00:49:09,680
Speaker 5: they took the Steel dossiere at its word, which was

924
00:49:09,719 --> 00:49:13,920
Speaker 5: preposterous from the start. And you know, for the New

925
00:49:14,000 --> 00:49:17,880
Speaker 5: York Times to parade around as if it's the arbiter

926
00:49:18,040 --> 00:49:24,799
Speaker 5: of fine journalism and to continually print lies as if

927
00:49:24,800 --> 00:49:27,640
Speaker 5: they're true and then cover up afterwards and there was

928
00:49:27,680 --> 00:49:31,840
Speaker 5: that old saying from Winston Churchill that lies halfway around

929
00:49:31,880 --> 00:49:35,399
Speaker 5: the world before the truth gets its pants on. It's

930
00:49:35,520 --> 00:49:38,000
Speaker 5: very difficult. Once the New York Times has put that

931
00:49:38,040 --> 00:49:41,960
Speaker 5: Hamas hospital story on its front page with a photograph

932
00:49:42,000 --> 00:49:46,719
Speaker 5: of a bombed out building that that was not the hospital,

933
00:49:46,719 --> 00:49:49,000
Speaker 5: it was elsewhere, and sort of in the caption in

934
00:49:49,120 --> 00:49:52,120
Speaker 5: small print, it says, oh, you know this building in

935
00:49:52,200 --> 00:49:55,520
Speaker 5: such and such a place. But anybody looking at the

936
00:49:55,560 --> 00:49:57,400
Speaker 5: front page of the New York Times, that was so

937
00:49:57,560 --> 00:50:00,640
Speaker 5: misleading because there's the photograph of a bombed out building,

938
00:50:01,000 --> 00:50:04,319
Speaker 5: there's the headline underneath about this bombed out hospital and

939
00:50:04,440 --> 00:50:07,520
Speaker 5: you know, seven oundred people dead. Of course, the average

940
00:50:07,560 --> 00:50:10,400
Speaker 5: reader is going to take that as horrendous. I did

941
00:50:10,680 --> 00:50:12,279
Speaker 5: when I first saw it. I thought, oh, it must

942
00:50:12,320 --> 00:50:15,920
Speaker 5: be true. You know, it's it's so dishonest. They are

943
00:50:15,920 --> 00:50:19,640
Speaker 5: a propaganda rag. And you know it's not just the

944
00:50:19,680 --> 00:50:25,520
Speaker 5: New York Times so ap insists on calling Hamas terrorists militants,

945
00:50:26,400 --> 00:50:29,560
Speaker 5: and yet, as you know, Jonathan Turley pointed out, they

946
00:50:29,560 --> 00:50:34,320
Speaker 5: were very happy to call the riot on January sixth,

947
00:50:34,320 --> 00:50:37,440
Speaker 5: twenty twenty one at the Capitol and insurrection, and they

948
00:50:37,440 --> 00:50:41,200
Speaker 5: wanted to use even stronger language, and yet they didn't.

949
00:50:41,360 --> 00:50:45,120
Speaker 5: They didn't like anybody using the term riot to describe

950
00:50:45,160 --> 00:50:48,719
Speaker 5: the summer of riots that happen in twenty twenty. They

951
00:50:48,719 --> 00:50:53,480
Speaker 5: wanted to call them, you know, unrest or peaceful demonstrations.

952
00:50:54,520 --> 00:50:56,880
Speaker 4: Speaking to Miranda Devine of a New York Post and Rena,

953
00:50:56,920 --> 00:50:58,440
Speaker 4: I also want to ask you because your most recent

954
00:50:58,440 --> 00:51:02,239
Speaker 4: column was on this, Sidney Powell has pleaded guilty. Jenna

955
00:51:02,320 --> 00:51:08,839
Speaker 4: Alliss pleaded guilty in the Georgia election racketeering case. Well,

956
00:51:09,000 --> 00:51:12,880
Speaker 4: for people who think that that specifically Sidney Powell plea

957
00:51:13,160 --> 00:51:16,160
Speaker 4: is a big deal for Trump, you say, not so fast.

958
00:51:17,960 --> 00:51:23,440
Speaker 5: Well, no, basically I think that they know they slapped

959
00:51:23,440 --> 00:51:26,920
Speaker 5: felonies on all these lawyers around Trump and people like

960
00:51:27,000 --> 00:51:30,920
Speaker 5: Mark Meadows, and just to intimidate them, and then you

961
00:51:31,120 --> 00:51:35,640
Speaker 5: force them to plead guilty to a misdemeanor and of

962
00:51:35,680 --> 00:51:40,120
Speaker 5: course then testify against Trump. And it's just a familiar

963
00:51:40,320 --> 00:51:43,920
Speaker 5: rus to put pressure on their target, which of course

964
00:51:44,000 --> 00:51:47,319
Speaker 5: is Trump, and make him feel like he's isolated and

965
00:51:47,320 --> 00:51:50,960
Speaker 5: everyone's betraying him. But the fact is, when it comes

966
00:51:51,040 --> 00:51:53,920
Speaker 5: to Sydney Powell anyway, she's not going to be a

967
00:51:53,960 --> 00:51:58,719
Speaker 5: great witness because all her nonsense about the kraken and

968
00:51:59,120 --> 00:52:02,840
Speaker 5: you know, the voting machines that were hacked by I

969
00:52:02,880 --> 00:52:07,759
Speaker 5: don't know, Hugo Chavez's ghost or something that was very

970
00:52:07,760 --> 00:52:13,120
Speaker 5: early on just dismissed by Rudy Giuliani. Initially, he fired her,

971
00:52:14,160 --> 00:52:18,120
Speaker 5: and then when she somehow managed to inveigle her way

972
00:52:18,160 --> 00:52:21,320
Speaker 5: into the White House in that sort of stormy meeting

973
00:52:21,680 --> 00:52:27,200
Speaker 5: in December of twenty twenty, when she was asking Trump

974
00:52:27,320 --> 00:52:31,040
Speaker 5: to make her a special counsel in charge of investigating

975
00:52:31,040 --> 00:52:35,120
Speaker 5: the election and overturning the election, and saying that he

976
00:52:35,160 --> 00:52:38,880
Speaker 5: should be sending the military in to see his voting machines,

977
00:52:39,000 --> 00:52:43,520
Speaker 5: just all this nonsense, and Trump called Rudy Giuliani on

978
00:52:43,560 --> 00:52:45,279
Speaker 5: the phone and got him to rush over to the

979
00:52:45,280 --> 00:52:48,920
Speaker 5: White House to sort of mediate in this dispute that

980
00:52:48,960 --> 00:52:53,360
Speaker 5: had grown up between Sydney Powell and Patrick Byrne and

981
00:52:53,560 --> 00:52:57,400
Speaker 5: General Flynn on one side trying to pressure Trump to

982
00:52:57,440 --> 00:52:59,600
Speaker 5: do these crazy things, and on the other side you

983
00:52:59,680 --> 00:53:02,840
Speaker 5: had the White House Counsel Pat Sippoloni and his people

984
00:53:03,560 --> 00:53:05,840
Speaker 5: just in a screaming match with them, telling them no

985
00:53:05,960 --> 00:53:09,719
Speaker 5: one nuts. And so Trump asked Juliani to come over

986
00:53:09,920 --> 00:53:13,960
Speaker 5: and mediate he did that. He soon realized that Sydney

987
00:53:13,960 --> 00:53:16,839
Speaker 5: Powell had never had any evidence for the stuff she

988
00:53:16,920 --> 00:53:21,440
Speaker 5: was saying, and he told Trump so, and Trump basically

989
00:53:21,520 --> 00:53:25,920
Speaker 5: threw Sydney Powell out, firing her for the he firing

990
00:53:26,000 --> 00:53:28,320
Speaker 5: for the first time, Rudy firing her for the third

991
00:53:28,520 --> 00:53:31,960
Speaker 5: for the second time. You know, she didn't have any credibility.

992
00:53:33,320 --> 00:53:36,759
Speaker 5: Her nonsense never got far, and so what has she

993
00:53:36,840 --> 00:53:39,759
Speaker 5: got to say? She can say, well, I tried to

994
00:53:39,800 --> 00:53:42,319
Speaker 5: get the president to do these crazy things, but he

995
00:53:42,480 --> 00:53:44,480
Speaker 5: said no. So I don't think it's going to be

996
00:53:44,640 --> 00:53:48,920
Speaker 5: very harmful, certainly not from what Rudy Giuliani said under

997
00:53:48,920 --> 00:53:53,120
Speaker 5: oath to the January sixth Committee and repeated to Jack

998
00:53:53,120 --> 00:53:54,239
Speaker 5: Smith's special.

999
00:53:53,920 --> 00:53:57,240
Speaker 2: Counsel, What you just all laid out, Miranda is so interesting,

1000
00:53:57,280 --> 00:53:58,640
Speaker 2: and we're coming up against it here.

1001
00:53:58,719 --> 00:54:01,480
Speaker 1: So I just to ask you big picture.

1002
00:54:01,920 --> 00:54:04,920
Speaker 2: You've covered these stories for a long time, you're intimately

1003
00:54:04,960 --> 00:54:08,200
Speaker 2: involved in so many of them. Do you think that

1004
00:54:08,520 --> 00:54:13,040
Speaker 2: what happens in these Trump trials, assuming that it's Trump v.

1005
00:54:13,120 --> 00:54:16,440
Speaker 2: Biden in twenty twenty four, is going to impact the

1006
00:54:16,480 --> 00:54:19,200
Speaker 2: way that people vote, or do you think everybody's just

1007
00:54:19,280 --> 00:54:21,239
Speaker 2: kind of made up their minds one way or the

1008
00:54:21,280 --> 00:54:23,840
Speaker 2: other about Trump and Biden. And this is all a

1009
00:54:23,840 --> 00:54:26,879
Speaker 2: big side show, but in terms of actual voting, it's

1010
00:54:26,880 --> 00:54:29,440
Speaker 2: not going to have much impact at all.

1011
00:54:29,560 --> 00:54:31,719
Speaker 5: Look, I think you've got to say it will have

1012
00:54:31,760 --> 00:54:36,120
Speaker 5: an impact, but you know, I think it has to

1013
00:54:36,160 --> 00:54:40,080
Speaker 5: take a toll on Donald Trump. All these court cases,

1014
00:54:40,480 --> 00:54:44,320
Speaker 5: they're designed to undermine him. And although he's incredibly resilient,

1015
00:54:44,640 --> 00:54:48,360
Speaker 5: and although he's savvy enough to be using these court

1016
00:54:48,480 --> 00:54:53,560
Speaker 5: appearances as part of a free publicity for his campaign,

1017
00:54:54,400 --> 00:54:57,760
Speaker 5: at some point it's going to drown out his message.

1018
00:54:57,800 --> 00:55:00,880
Speaker 5: I mean, he has a fantastic message, which is, you know,

1019
00:55:01,200 --> 00:55:03,560
Speaker 5: do you miss me yet? Look how good things were

1020
00:55:03,600 --> 00:55:06,719
Speaker 5: when I was president. There were no wars there, you know,

1021
00:55:06,800 --> 00:55:10,440
Speaker 5: the economy was singing. And look at Biden now, who's

1022
00:55:10,520 --> 00:55:14,759
Speaker 5: just half cooked. And you know, he just seems to

1023
00:55:14,800 --> 00:55:19,359
Speaker 5: be constantly talking about and in the frame for these

1024
00:55:19,440 --> 00:55:24,919
Speaker 5: court cases, which just really reinforce the hatred of him

1025
00:55:25,000 --> 00:55:30,000
Speaker 5: by the never trumpers. And you know, I think while

1026
00:55:30,040 --> 00:55:35,799
Speaker 5: Donald Trump has a huge pull among his followers, I

1027
00:55:35,840 --> 00:55:40,120
Speaker 5: think he has an equal pull with the people who

1028
00:55:40,880 --> 00:55:44,319
Speaker 5: hate him, his detractors. And he's the best get out

1029
00:55:44,360 --> 00:55:47,080
Speaker 5: the vote weapon that the Democrats.

1030
00:55:46,480 --> 00:55:50,160
Speaker 4: Have ready devine. Everybody go check out our latest at

1031
00:55:50,160 --> 00:55:51,919
Speaker 4: the New York Post. Randa, thanks for being with us.

1032
00:55:52,280 --> 00:55:53,160
Speaker 5: Thanks guys.

1033
00:55:54,320 --> 00:55:57,080
Speaker 4: Wise man once said, a man doesn't need brilliant or genius,

1034
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1035
00:55:59,520 --> 00:56:02,040
Speaker 4: that you also on intelligence and common sense too, but

1036
00:56:02,320 --> 00:56:05,160
Speaker 4: there's no debating that you definitely need energy. You gotta

1037
00:56:05,160 --> 00:56:06,799
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1038
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1039
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1040
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1056
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1057
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Speaker 2: Find it on the iHeart app or wherever you get

1058
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