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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. We were talking the last hour a

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Speaker 1: bit about some of the big things Trump is discussing

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Speaker 1: or was discussing in the Oval office. I want to

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Speaker 1: bring you some of those highlights. We've got stuff about

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Speaker 1: restricting foreign foreigners from going to US colleges and universities.

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Speaker 1: We've got the foreign nationals from high risk countries that

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Speaker 1: are banned travel band, if you will, Lisa're not calling

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Speaker 1: them a Muslim band this time, because Cuba and Venezuela

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Speaker 1: not necessarily thought of, as you know, the Islamic world

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Speaker 1: have been some of the countries that are on there. Clearly,

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Speaker 1: it's not that I remember the first Trump administration they're

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Speaker 1: as saying it's a Muslim bands, and then they had

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Speaker 1: to add like North Korea onto it. They said, look,

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Speaker 1: these are just countries that are messed up. It wasn't

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Speaker 1: Trump's fault. There are a lot of messed up countries

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Speaker 1: that are Muslim majority. And then there's also some stuff

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Speaker 1: on the call with she and and Trump's relationship with Elon.

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Speaker 1: This is hitting a little bit of a speed bump.

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Speaker 1: You could say, the the self driving of the Trump

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Speaker 1: Elon relationship is having a couple.

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Speaker 2: Of bugs in the system. We'll talk about this.

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Speaker 1: It is not a surprise to.

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Speaker 2: Me that this is where things are right now.

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Speaker 1: But I I you know, wait, I'm just gonna say this.

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Speaker 1: When Trump and Elon, when I see there's a little

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Speaker 1: static with Trump and Elon, it's like watching my parents fight.

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Speaker 1: I'm like, no, come on, you guys are the good guys.

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Speaker 1: No fighting, It'll be it'll be fine, it'll be fine.

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Speaker 1: But my parents like never fought, so that was very nice.

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Speaker 1: But you know what I'm saying, let's see here we

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Speaker 1: have I saw other.

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Speaker 2: People's parents fights. I'd be like, oh, that's not fun.

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Speaker 1: Uh, let's do, dude, do first. The Trump call with Elon,

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Speaker 1: this is this is a big deal because all the

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Speaker 1: tariff stuff with all these other countries, we all know

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Speaker 1: that can get negotiated. I think we're quite clear that

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Speaker 1: EU stuff, Canada stuff Canada.

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Speaker 2: You know we love Canada.

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Speaker 1: You know Trump gives you some Trump gives you a

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Speaker 1: hard time a little bit, but you know we love

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Speaker 1: you Canada. China is a problem.

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Speaker 2: That's a different that's a different thing. Right.

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Speaker 1: The China is an issue for the United States, and

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Speaker 1: he's doing bad things, particularly on trade, and it's taking

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Speaker 1: a lot of our trade secrets and exploiting I think

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Speaker 1: the good faith of the American capitalist mindset and system,

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Speaker 1: and so we got to take.

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Speaker 2: A different approach with them.

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Speaker 1: Here. This was Trump just now in the Oval Office.

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Speaker 1: He had a chat with a president Shi Jinping of China,

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Speaker 1: and here is what he had to say about it,

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Speaker 1: Play twenty five.

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Speaker 3: We did a very good talk and we've straightened out

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Speaker 3: any complexity. This is very complex stuff and we straightened

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Speaker 3: it out. The agreement was we're going to have Scott

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Speaker 3: and Howard and Jamison will be going and meeting with

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Speaker 3: their top people and continued forward. But no, I think

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Speaker 3: we have everything. I think we're very good shape with

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Speaker 3: China and the trade deal. We have a deal with China,

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Speaker 3: as you know, but we were straightening out some of

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Speaker 3: the points.

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Speaker 1: Having to do mostly with rare earth magnets and some

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Speaker 1: other things. So it's produced trade tarif rates. They remain

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Speaker 1: in effect. We have the deal.

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Speaker 3: I mean, we've had a deal, we announced the deal

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Speaker 3: and will be I guess you could say I wouldn't

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Speaker 3: even say finalizing an up Scott. I would say we

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Speaker 3: have a deal, and we're going to just make sure

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Speaker 3: that everybody understands what the deal is.

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Speaker 1: We have a deal, and he wants to get more

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Speaker 1: clarity on the deal. You know, what's one big difference

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Speaker 1: between this Trump administration that you're already seeing and the

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Speaker 1: Biden administration. Stuff actually happens with this Trump administration. There

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Speaker 1: are things in motion that are to the benefit of

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Speaker 1: the American people. Think about so much of what was

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Speaker 1: going on with Biden. What was the Biden What was

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Speaker 1: Biden's trade policy? What was Biden's China policy? Biden didn't

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Speaker 1: know that much is clear. So if the guy who

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Speaker 1: is named for the policy isn't even aware of the policy,

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Speaker 1: and we all understand why, it's pretty clear that there

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Speaker 1: would have been some gaps. You could say there would

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Speaker 1: have been some shortcomings in Biden China trade relations and

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Speaker 1: dealing with them in the economy. I mean, I'm sure

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Speaker 1: think about this. If you were putin and well, you

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Speaker 1: can't be putin and Chesion Ping, I mean, that would

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Speaker 1: be interesting, right, But if you were Vladimir Putin. This

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Speaker 1: is one of the problems I have now when I

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Speaker 1: do radio, is that Ginger the baby Ginger's very good

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Speaker 1: with the baby, so that's good news. But Ginger is

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Speaker 1: more attention starved than she's ever been. So now she

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Speaker 1: used to always leave me alone during radio. Now she

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Speaker 1: run over to me, and because she has free reign

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Speaker 1: of the house, of course, because she's spoiled, and she

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Speaker 1: drops her fetch ball at my feet during radio. So

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Speaker 1: if it ever sounds like I'm like, wait, what's going on,

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Speaker 1: it's because the dog and she she holds me hostage

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Speaker 1: because if I don't play fetch at least in the

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Speaker 1: commercial breaks, then she starts to whine, and you'll hear

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Speaker 1: all across the country they'll hear my little Australian labradoudal whining.

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Speaker 1: But you know, such such as last and it's I'm

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Speaker 1: telling you, because the little baby gets so much attention.

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Speaker 1: She's more than ever now. She's she makes these little

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Speaker 1: noises and stuff. Anyway, she loves the baby though. She's

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Speaker 1: very sweet to the baby. So at least I'm very

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Speaker 1: grateful for that. All right, So Trump and and Xi

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Speaker 1: Jinping are squaring off against each other on this trade issue.

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Speaker 1: And let's just take a moment to recognize if you

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Speaker 1: were Ji in paying or you were Vladimir Putin or

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Speaker 1: really any world leader, because we all operate. You and

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Speaker 1: I operate in the real world, which is other countries,

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Speaker 1: whether it's China or France, or the UK or Guatemala.

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Speaker 1: Other countries want to get the best they can for

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Speaker 1: their people when they interact with us, and you know what,

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Speaker 1: that's fine. That's how we would expect it to be.

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Speaker 1: This is why Trump's America first. The notion of a

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Speaker 1: government representing the American people that privileges and prioritizes the

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Speaker 1: interests of the American people over non Americans should be

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Speaker 1: the basic approach of any administration. But actually Trump, it's

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Speaker 1: revolutionary because we've gone through so many iterations of well,

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Speaker 1: what do the Europeans think? Well, what the you know

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Speaker 1: what is like the Human Rights Counsel or to the

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Speaker 1: Hague or whatever, the u N what do they think

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Speaker 1: about this? I don't care. I frankly don't care what

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Speaker 1: the UN thinks about anything. So if you were though,

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Speaker 1: picking who to sit across the table from you as

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Speaker 1: an adversary, uh, which means and I mean that by

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Speaker 1: any country that's trying to get more from us, could

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Speaker 1: you have done better than Joe Biden or Anthony Blincoln.

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Speaker 1: Anthony Blincoln, really to think about the people who were

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Speaker 1: We're gonna talk more about Karina Jean Pierre later. I

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Speaker 1: know she was just a spokesperson really, but think about

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Speaker 1: those who were supposed to be making the key decisions

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Speaker 1: around Biden. You wouldn't want any of these people to

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Speaker 1: work for you at your company. You wouldn't want any

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Speaker 1: of them as colleagues. They're not dependable, they're not wise,

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Speaker 1: they're not impressive. Not stuff matters. It matters with world.

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Speaker 1: You know, either either who the president is makes a

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Speaker 1: difference in foreign policy or it doesn't. And if it

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Speaker 1: does make a difference, clearly we were at a huge

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Speaker 1: disadvantage with Biden as the President of the United States,

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Speaker 1: and we are seeing something very different now with Trump.

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Speaker 1: We're seeing something that we should have had all along,

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Speaker 1: which is somebody who can actually process Nego Sheate, has

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Speaker 1: a strategy, understands the interpersonal dynamics of power.

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Speaker 2: Biden's just a graft machine. Biden's an imbecile. And I

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Speaker 2: said it all along, You knew it. I knew it

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Speaker 2: all right now.

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Speaker 1: On the restricting foreign nationals from these high risk countries,

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Speaker 1: Trump spoke about this as well in the oval with

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Speaker 1: the Chancellor, not the Prime Minister, but the Chancellor of

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Speaker 1: Germany twenty six Play it.

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Speaker 2: Please on your.

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Speaker 4: New travel band?

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Speaker 5: Why now?

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Speaker 4: And if the Boulder attack was part of your reasoning,

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Speaker 4: why not include Egypt on that list where the suspect

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Speaker 4: is front well?

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Speaker 3: Because Egypt has been a country that we deal with

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Speaker 3: very closely. They have things under control. The countries that

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Speaker 3: we have but don't have things under control.

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Speaker 1: And why now?

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Speaker 3: I can say that it can't come soon enough. Frankly,

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Speaker 3: we want to keep bad people out of our country.

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Speaker 3: The Biden administration allowed some horrend this people and we're

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Speaker 3: getting them out one by one and we're not stopping

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Speaker 3: until we get them out. We have thousands of murderers.

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Speaker 3: I even hate to say this in front of the

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Speaker 3: Chancellor because you have a little problem too with some

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Speaker 3: of the people that were allowed to country.

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Speaker 2: It's not your fault, it's.

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Speaker 3: Not your fault. It shouldn't have happened. I told her

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Speaker 3: it shouldn't have happened.

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Speaker 1: What she did, her meaning Angela Angler, was like Donald,

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Speaker 1: but we have to take all of this Third World,

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Speaker 1: from the warton, the war torn countries into America Achtung

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Speaker 1: I'm sorry, into Germany, but into Germany Achtung deutz Land

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Speaker 1: not good, not good, Angela not helping anybody out and

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Speaker 1: well helping I guess the people that are now exploiting

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Speaker 1: their access to German welfare and the German system. Isn't

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Speaker 1: it also remarkable how many of these people come to countries,

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Speaker 1: whether it's in Europe or it's in America, and they

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Speaker 1: and they have complaints, they want to complain, and we're

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Speaker 1: never allowed to look at them and say, why does

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Speaker 1: your country suck so much? I'm just wondering, like you know,

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Speaker 1: oh well, I'm not just talking about countries that have

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Speaker 1: a war, but it's also worth noting why are these

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Speaker 1: countries that having civil wars or having these problems. Usually

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Speaker 1: it's sectarian hatreds, so they hate the people that live

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Speaker 1: within their country, never mind how they're going to get

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Speaker 1: along with all the rest of us. But yeah, we

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Speaker 1: never get to ask that question. I just think that

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Speaker 1: there should be Again, this is one of the reasons.

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Speaker 1: And I say this, and it's not just because I

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Speaker 1: love getting high fives from my South Florida Latinos and

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Speaker 1: Latinas who listen to this show.

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Speaker 2: But it's really true.

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Speaker 1: My South Florida, Latinos and Latinas or a lot of them,

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Speaker 1: Cuban Americans, Venezuelan Americans, they freaking love.

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Speaker 2: This place and they appreciate it.

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Speaker 1: And they're also a voting Republican as they have for

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Speaker 1: a lot of humans have for a long time, and

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Speaker 1: more and more Venezuelans are. They appreciate this place. They

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Speaker 1: come here and they say, Wow, America is awesome. The

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Speaker 1: communist hellhole I left is a warning to the rest

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Speaker 1: of the world.

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Speaker 2: This is why they're so great.

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Speaker 1: When you get these people who show up from some

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Speaker 1: other country, they come in illegally. They're being told by

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Speaker 1: the NGO, you know, America did your people wrong, and

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Speaker 1: you know you should get all of the welfare you want.

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Speaker 2: And you should. That's not good. That's not good.

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Speaker 1: Anybody who comes to this country should be thrilled to

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Speaker 1: be in this country and should be working on their

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Speaker 1: americanness from day one. And we see what happens in

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Speaker 1: Europe and that's not the case. When I say working

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Speaker 1: on their americanness, you know, becoming productive, law abiding English

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Speaker 1: speaking members of their community, their society and all of that.

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Speaker 1: And that's that should be the expectation in Europe. It

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Speaker 1: was like self hatred on display. We'll never forget. I

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Speaker 1: was talking to the equivalent of the Swedish kind of

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Speaker 1: like the Swedish FBI.

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Speaker 2: I forget what they Braduh.

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Speaker 1: I was there years ago at the CIA, and we're

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Speaker 1: helping them with some terrorism issues.

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Speaker 2: Oh why did Sweden have terrorism issues?

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Speaker 1: Anyone want to guess? Anyone want to take a stab

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Speaker 1: at that one? You know, was spent all off all

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Speaker 1: of a sudden, so upset about uh the state benefits

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Speaker 1: for his free health care or whatever.

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Speaker 2: You know, He's like, no, No.

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Speaker 1: They brought in a bunch of Middle Eastern Muslims from

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Speaker 1: war charned countries who guess what, hate the West, that

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Speaker 1: hate Europe and started doing really bad things. Started going

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Speaker 1: back and forth also between the country that they say

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Speaker 1: they had to flee for their lives and the country

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Speaker 1: that had taken them in. They arrive in many cases

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Speaker 1: in these countries and they think that we are suckers.

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Speaker 2: They are taking us for a ride.

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Speaker 1: And you see this with some of the e moms,

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Speaker 1: for example, who have been very much on the radar

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Speaker 1: of m I five in the UK, which is their

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Speaker 1: domestic intelligence service and trying to expel some of the

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Speaker 1: some of them are so bad. We're like, look, you

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Speaker 1: got to go back to wherever you came from. That's

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Speaker 1: actually happened in Europe in some cases, but in Sweden.

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Speaker 1: I remember talking to him. I said, you guys have

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Speaker 1: brought in a million Middle Eastern refugees. What do you

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Speaker 1: think is going to happen with this? And they because

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Speaker 1: these weren't politicians, these are people that were dealing with

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Speaker 1: the counter terrorism.

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Speaker 2: Side, we have a big problem. We have a big challenge.

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Speaker 2: And he didn't just mean stopping terrorism attacks.

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Speaker 1: He meant they move into neighborhoods outside of some of

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Speaker 1: the major cities. They don't they don't want to learn

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Speaker 1: the language, they don't want to adopt the culture, they

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Speaker 1: want to set up Sharia courts.

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Speaker 2: They want it their own.

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Speaker 1: Way, and they want to be able to advocate for

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Speaker 1: the slow but certain overthrow of the culture and the

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Speaker 1: rule of law and the.

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Speaker 2: Nation that they have come to imagine that.

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Speaker 1: You know, it's like it's like I said before, these

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Speaker 1: when you're talking about people that are coming from these countries,

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Speaker 1: and you know, we saw this with the Boulder attack.

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Speaker 1: This guy's commas here. He says he wants asylum. He's

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Speaker 1: got a he's got a wife and children. They're here now.

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Speaker 1: And and he goes and he lights Jews on fire.

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Speaker 1: He creates a flamethrower and malots off cocktails. He's trying

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Speaker 1: to light Jewish people, Jewish Americans on fire, instead of

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Speaker 1: thinking about how lucky and grateful he is to be

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Speaker 1: in America.

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Speaker 2: That's what he does.

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Speaker 1: This is this is as I was saying, somebody running

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Speaker 1: up to you says, I'm I'm there's there's a tornado coming.

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Speaker 1: Please take me into your house or else I'm going

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Speaker 1: to die, and you, out of the kindness of your heart,

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Speaker 1: say yes, sure, here, come into my cellar with me

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Speaker 1: and my family. And then as the tornado passes, they

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Speaker 1: look at you and they go, it's my house. Now,

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Speaker 1: that's happening. That has happened, and it is time we

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Speaker 1: woke up to this and said enough, no more of that,

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Speaker 1: Thank you very much. I'm glad to see the Trump

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Speaker 1: administration recognizes that we don't have to take people in

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Speaker 1: from countries or we cannot trust that they will be safe,

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Speaker 1: that they will be contributing. This is important for us

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Speaker 1: to Ron Vitello, US Customs and Border Protections Senior Advisor. Ron.

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Speaker 2: Thanks for making the time for us. Let's just start

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Speaker 2: with this.

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Speaker 1: How is it that Trump is able to secure the

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Speaker 1: southern border almost at a one hundred percent level. I mean,

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Speaker 1: it's in the ninety something percent drop so quickly.

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Speaker 2: How do you do it?

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Speaker 5: Leadership matters. He's got a good team in place, with

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Speaker 5: the likes of Secretary Nome, and there are now consequences

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Speaker 5: unlike anything I've ever seen on the Southwest border. So

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Speaker 5: rhetoric that says we're going to do this, the American

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Speaker 5: people gave him that mandate action by the front line,

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Speaker 5: you know, directed by the leadership, and actual consequences to

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Speaker 5: the event of crossing the border illegally are now in

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Speaker 5: place in a way. Like I've said, Like you know,

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Speaker 5: I've been in and out of this business for forty

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Speaker 5: years and I've never seen anything like it. It was

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Speaker 5: so rapid the change at the Southwest border. It even

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Speaker 5: surprised me.

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Speaker 1: But so I think this would be really interesting, Ron,

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Speaker 1: if I could just ask you, because I had seen,

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Speaker 1: unfortunately in the bad old days of the wide open border,

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Speaker 1: what happens. People would would walk up to border patrol.

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Speaker 1: I mean they would walk across where there wasn't a

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Speaker 1: wall or there wasn't barrier, which there's a lot of

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Speaker 1: places where that's still the case. They'd walk up and

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Speaker 1: they would wave border patrol down. They would say here

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Speaker 1: I am, and sometimes through a translator, or sometimes they

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Speaker 1: would say it in English some version of I have

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Speaker 1: a credible fear of violence in my country. And they

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Speaker 1: would be processed and let into America, sometimes with a

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Speaker 1: like a ticket to a peer, and show up somewhere

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Speaker 1: in the system later on. I mean, the whole thing

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Speaker 1: was just a joke. What happens now if you show

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Speaker 1: up and you just want to come into America illegally.

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Speaker 5: Well, it's a high likelihood that when you're arrested, even

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Speaker 5: if you gave up or if you were trying to evade,

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Speaker 5: there's a lot of that's still going on. You're taking

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Speaker 5: into custody like before, you're put into the system like before,

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Speaker 5: and then you referred for prosecution the acceptance right from

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Speaker 5: the US Attorney's office all across the southwest border and

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Speaker 5: the northern border in some places as well as over

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Speaker 5: ninety percent. And so I'll just give you an example

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Speaker 5: of what that means. When I was a second line

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Speaker 5: supervisor in Nogallas, Arizona, we could not present a smuggling case,

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Speaker 5: a criminal felony smuggling case to the US Attorney's office

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Speaker 5: unless there were fifteen smuggled aliens in the vehicle that

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Speaker 5: we were trying to prosecute the smuggler for driving. Right now,

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Speaker 5: they're taking first time entrants who enter the border illegally

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Speaker 5: as a case. It's dramatically different than it's ever been.

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Speaker 5: And so the high likelihood is that after your process

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Speaker 5: and put into the system, you're going to be referred

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Speaker 5: and then accepted for prosecution and you'll have to see

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Speaker 5: a judge for the crime committed crossing the border illegally

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Speaker 5: when that process is over. And that was individuals sentenced,

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Speaker 5: regardless of what country they're from, they're sent back very rapidly.

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Speaker 5: The average time and custody for folks that are in

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Speaker 5: iced attention is very very low, low, lower than it's

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Speaker 5: been in a long time, and so people are being

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Speaker 5: removed from the US all over the world and very

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Speaker 5: short order.

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Speaker 1: And also I'm seeing a lot of confusion ron from

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Speaker 1: some parts of the media, maybe confusion, surprise, astonishment that

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Speaker 1: there's such a drop in sentinel at the border that's

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Speaker 1: crossing what's going on there, Because I think I think

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Speaker 1: our audience, I think everybody right now, they listen, they go, oh,

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Speaker 1: I think I know what's going on.

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Speaker 5: Yeah, of course they know that this has been a

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Speaker 5: problem for many, many years. The President engaged worldwide, specifically

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Speaker 5: in Canada and Mexico, the threat of terraces tariffs, just

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Speaker 5: to make sure that they weren't allowing precursors to come

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Speaker 5: into the country from China, and that they had to

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Speaker 5: do more on the border, on the physical border, to

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Speaker 5: protect that border. And so both of those countries engaged

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Speaker 5: again in ways I've never seen. Right, ten thousand troops

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Speaker 5: from the Mexican National Guard deployed on their northern border,

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Speaker 5: our southern border. Canada has done more to protect their

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Speaker 5: physical border than I've ever seen. Helicopters, night vision equipment,

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Speaker 5: dedicated patrols from state, local, provincial, and the Royal Canadian

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Speaker 5: Mounted Police, and so everybody is doing their part to

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Speaker 5: help protect those borders the sovereignty of each of their countries,

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Speaker 5: thereby giving us a better chance at the physical border

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Speaker 5: to find this stuff, and then the cartels know that

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Speaker 5: it's just not a walk in the park as it

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Speaker 5: was for the four years of the Biden administration.

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Speaker 1: That's that's remarkable. I just to make sure that everyone

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Speaker 1: is is clear on this one. What you're telling me

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Speaker 1: is that on tariffs alone, there has been a big

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Speaker 1: victory for the border, so that the tool of tariff

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Speaker 1: negotiations to get us border security that's already a win,

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Speaker 1: is what I'm gathering from what you're saying. Especially with

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Speaker 1: you know, or rather with Mexico and Canada, there.

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Speaker 5: Is no question that Canada and Mexico are doing more

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Speaker 5: than they have ever done in the history of the

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Speaker 5: relationships of these three countries than they are doing right

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Speaker 5: now today. And recognize, you know, Canada put together legislation

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Speaker 5: to spend millions of dollars on their border to help

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Speaker 5: us to help identify the threats that are there. They

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Speaker 5: now have a fent are, which they didn't have before

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Speaker 5: January twentieth, twenty twenty five, ten thousand troops on the

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Speaker 5: Mexican border. And you'll remember the rhetoric when Trump got elected,

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Speaker 5: Claudia Scheinbaum the president in Mexico, all due respect, she

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Speaker 5: was saying terrible things about how she wasn't going to work,

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Speaker 5: she wasn't going to do the bidding of the United

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Speaker 5: States or this president. She deployed ten thousand troops. No

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Speaker 5: one has ever done that before her or since, and

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Speaker 5: so that has led to a huge reduction in illegal

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Speaker 5: activity across the Southwest border, including fentanyl precursors into their

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Speaker 5: country and then fentanyl across our border.

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Speaker 1: We're talking to Ron Vitello, US Customs and Border Protection

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Speaker 1: senior advisor for this administration. Bron, let's talk about big

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Speaker 1: beautiful wall, major promise from Trump in the first term.

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Speaker 1: He has returned to this issue now in his second term.

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Speaker 1: I know that one of the ways that Steven Miller

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Speaker 1: and others are really trying to get people focused in

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Speaker 1: on the need to pass this big beautiful bill is

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Speaker 1: saying that there's ample fund for border patrol, including for

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Speaker 1: wall barrier actually securing it. What can you tell us

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Speaker 1: about that and the status of the wall right now?

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Speaker 1: How long would it take if we had the funding

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Speaker 1: to get a lot more of it in place.

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Speaker 2: Let's do a little wall.

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Speaker 5: Deep dive well to get the requirement that's identified by

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Speaker 5: the border patrols, supported by the president. Right, he built

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Speaker 5: a lot of wall in the first term Trump won,

437
00:23:25,600 --> 00:23:28,720
Speaker 5: and we expect to build a lot more in Trump two.

438
00:23:28,800 --> 00:23:32,000
Speaker 5: And so what we're doing now, with the help of

439
00:23:32,040 --> 00:23:33,879
Speaker 5: the Department of Defense, we have ten thousand of our

440
00:23:33,920 --> 00:23:36,800
Speaker 5: own troops on the southwest border helping the border patrol

441
00:23:36,880 --> 00:23:39,280
Speaker 5: side by side. Part of what they're doing is giving

442
00:23:39,320 --> 00:23:42,639
Speaker 5: agents better access to the border, fortifying the wall, and

443
00:23:42,720 --> 00:23:46,880
Speaker 5: increasing the infrastructure that prevents people from entering at the border.

444
00:23:47,520 --> 00:23:51,200
Speaker 5: About one hundred new miles of barrier placed either by

445
00:23:51,280 --> 00:23:54,639
Speaker 5: DoD or buy the border patrol itself with the existing

446
00:23:54,720 --> 00:23:58,800
Speaker 5: contracting and the funding left over from Trump ion. So

447
00:23:59,200 --> 00:24:02,080
Speaker 5: Biden comes in puts a moratorium on all border construction,

448
00:24:03,040 --> 00:24:06,719
Speaker 5: and so it froze the activity for a while. And

449
00:24:06,800 --> 00:24:09,280
Speaker 5: now we're in the we have the ability for the

450
00:24:09,280 --> 00:24:12,120
Speaker 5: next year or so to spend the little money that's

451
00:24:12,200 --> 00:24:15,879
Speaker 5: left from Trump one on wall, and that's equated so

452
00:24:15,960 --> 00:24:19,240
Speaker 5: far to about one hundred miles, and then there'll be

453
00:24:19,359 --> 00:24:24,600
Speaker 5: new wall constructed using the funds from Trump one, and

454
00:24:24,640 --> 00:24:29,400
Speaker 5: then we're hopeful that when the reconciliation passes, there will

455
00:24:29,440 --> 00:24:33,760
Speaker 5: be a huge investment in infrastructure, including wall and tech

456
00:24:33,880 --> 00:24:36,119
Speaker 5: that supports the wall and the agents on the ground

457
00:24:36,200 --> 00:24:39,240
Speaker 5: access to the border, to give us about another one

458
00:24:39,280 --> 00:24:43,040
Speaker 5: hundred about another seven hundred miles. Some of that will

459
00:24:43,040 --> 00:24:45,640
Speaker 5: be dual barrier. We'll have some stuff in the river

460
00:24:46,040 --> 00:24:49,160
Speaker 5: and on land in places like Texas where the river

461
00:24:49,280 --> 00:24:52,400
Speaker 5: is actually the border, and in other places will fortify

462
00:24:52,440 --> 00:24:56,320
Speaker 5: what exists and increase wall to about seven hundred new

463
00:24:56,359 --> 00:24:58,280
Speaker 5: miles under Trump two.

464
00:24:59,080 --> 00:25:02,320
Speaker 1: Is there are s and I know from just law

465
00:25:02,359 --> 00:25:06,320
Speaker 1: enforcements sources down along the border, border patrol sources and

466
00:25:06,359 --> 00:25:09,879
Speaker 1: the various collection platforms that we have. Is there a

467
00:25:09,960 --> 00:25:14,120
Speaker 1: sense from the the narco terrorist cartels on the other

468
00:25:14,160 --> 00:25:16,280
Speaker 1: side of the border that, oh, there's definitely a new

469
00:25:16,280 --> 00:25:17,040
Speaker 1: sheriff in town.

470
00:25:18,119 --> 00:25:22,280
Speaker 5: One percent? You know, there's pressure from the Mexican government,

471
00:25:22,320 --> 00:25:25,919
Speaker 5: which is as effective as it can be given the circumstances.

472
00:25:26,600 --> 00:25:31,520
Speaker 5: The military to military relationship is producing results, including US

473
00:25:31,840 --> 00:25:37,199
Speaker 5: helping target known cartel members both sides of the border,

474
00:25:37,240 --> 00:25:40,679
Speaker 5: and it's just really hard now to cross the border

475
00:25:40,880 --> 00:25:45,040
Speaker 5: versus the way it was before January twentieth, twenty twenty five,

476
00:25:45,119 --> 00:25:48,720
Speaker 5: and so they are not being as successful. We're watching

477
00:25:48,760 --> 00:25:51,600
Speaker 5: the reaction from the cartels. We had a really good

478
00:25:51,680 --> 00:25:57,360
Speaker 5: intercept in Laredo yesterday of unmanned aerial systems small drones,

479
00:25:57,400 --> 00:25:59,520
Speaker 5: if you will, one of those yesterday.

480
00:26:00,000 --> 00:26:02,439
Speaker 1: Oh wait, so they're using drones to try to drop

481
00:26:02,480 --> 00:26:04,320
Speaker 1: off product drugs.

482
00:26:05,240 --> 00:26:08,520
Speaker 5: We believe this one was counter surveillance. Ah okay, but

483
00:26:08,600 --> 00:26:10,280
Speaker 5: it remains to be seen. We're going to try to

484
00:26:10,320 --> 00:26:13,320
Speaker 5: exploit that the media that's in there to figure out

485
00:26:13,320 --> 00:26:14,240
Speaker 5: exactly what it was.

486
00:26:14,320 --> 00:26:16,520
Speaker 1: But but so they're using drones to watch you guys

487
00:26:16,600 --> 00:26:17,919
Speaker 1: or your guys at border patrol.

488
00:26:18,440 --> 00:26:22,120
Speaker 5: Correct, correct, that's that's they're using them mostly for that,

489
00:26:22,160 --> 00:26:24,119
Speaker 5: But there it's not unheard of for them to bring

490
00:26:24,160 --> 00:26:27,399
Speaker 5: small packages, I mean fentanyl. You know, the profit margin

491
00:26:27,440 --> 00:26:30,679
Speaker 5: on fentanyl is huge in Mexico, and so they use

492
00:26:30,720 --> 00:26:34,480
Speaker 5: it for those things as well. But again, giving agents

493
00:26:34,560 --> 00:26:37,160
Speaker 5: time and ability, this was something that wouldn't have happened

494
00:26:37,640 --> 00:26:40,919
Speaker 5: seven months ago because they were too distracted with the

495
00:26:40,960 --> 00:26:43,400
Speaker 5: massive humanity that was coming into the border every twenty

496
00:26:43,400 --> 00:26:46,160
Speaker 5: four hours. Now we have the ability when those sensors

497
00:26:46,200 --> 00:26:50,360
Speaker 5: go off and when we can deploy against those active threats.

498
00:26:50,760 --> 00:26:53,919
Speaker 5: They did, in fact Caesar drone in Laredo yesterday, and

499
00:26:53,960 --> 00:26:57,040
Speaker 5: that's what the cartel is capable of, and so we'll

500
00:26:57,040 --> 00:26:59,240
Speaker 5: see more of that. You know, there was a seizure

501
00:26:59,280 --> 00:27:02,480
Speaker 5: in San Diego of about seven thousand pounds of meth

502
00:27:02,560 --> 00:27:06,919
Speaker 5: aanthetamine in California, which you know, we haven't seen a

503
00:27:06,960 --> 00:27:11,240
Speaker 5: seizure in that size in probably over a year, and

504
00:27:11,320 --> 00:27:13,960
Speaker 5: it was because the agents on the ground, the front line,

505
00:27:14,000 --> 00:27:17,600
Speaker 5: has the time and ability to do the work, you know,

506
00:27:17,800 --> 00:27:20,720
Speaker 5: using the shoe leather, using their brains, using the intelligence

507
00:27:20,760 --> 00:27:24,679
Speaker 5: holdings that exist in the United States to track that

508
00:27:24,800 --> 00:27:27,320
Speaker 5: seven thousand pounds. We probably would not have gotten that

509
00:27:28,119 --> 00:27:32,200
Speaker 5: pre Trump because we're just too busy with the legal

510
00:27:32,200 --> 00:27:34,520
Speaker 5: activity that was coming across the border. So yeah, the

511
00:27:34,520 --> 00:27:40,120
Speaker 5: cartels have reacted. We're seeing increases on the coast near

512
00:27:40,200 --> 00:27:42,919
Speaker 5: San Diego. We expect that to be the case in

513
00:27:43,280 --> 00:27:47,160
Speaker 5: near Brownsville as well. The subterranean threat has now been

514
00:27:47,200 --> 00:27:50,160
Speaker 5: magnified in the sense that the land border is much

515
00:27:50,160 --> 00:27:53,840
Speaker 5: harder to cross, and so all the alternative routes of

516
00:27:54,000 --> 00:27:57,919
Speaker 5: entry are going to start to be used and exploited,

517
00:27:57,920 --> 00:28:00,359
Speaker 5: and so we need to be vigilant. That's why we

518
00:28:00,400 --> 00:28:04,440
Speaker 5: need to backstop what the frontline can do with policy

519
00:28:04,760 --> 00:28:08,919
Speaker 5: and rhetoric and consequences. With more resources, as in wall,

520
00:28:09,080 --> 00:28:12,600
Speaker 5: as in infrastructure, as in boots on the ground, that

521
00:28:12,680 --> 00:28:15,800
Speaker 5: all has to be fortified and sustained if we want

522
00:28:15,840 --> 00:28:18,040
Speaker 5: to keep the promise of making America safe again.

523
00:28:19,320 --> 00:28:24,280
Speaker 1: Wondering if you could just speak to the morale of

524
00:28:24,320 --> 00:28:26,679
Speaker 1: the men and women of Border Patrol now and what

525
00:28:26,720 --> 00:28:31,560
Speaker 1: it feels like to have the mission and resources squared

526
00:28:31,600 --> 00:28:34,480
Speaker 1: away like they have been so far in this administration.

527
00:28:35,480 --> 00:28:38,600
Speaker 5: Yeah, No, the morale is very high. Lots of smiles

528
00:28:38,680 --> 00:28:40,400
Speaker 5: on the faces of the men and women who now

529
00:28:40,440 --> 00:28:43,840
Speaker 5: have the tools and the support that they require to

530
00:28:43,960 --> 00:28:48,440
Speaker 5: be successful. Agents are recruited because they are interested in

531
00:28:48,480 --> 00:28:52,760
Speaker 5: a career that it's mostly outdoors that mostly protects the country,

532
00:28:53,040 --> 00:28:57,240
Speaker 5: that mostly is involved in activity designed to protect us all.

533
00:28:57,280 --> 00:28:59,160
Speaker 5: And they weren't able to do that for the last

534
00:28:59,720 --> 00:29:02,000
Speaker 5: for the for the last administration, for the entirety of

535
00:29:02,120 --> 00:29:06,560
Speaker 5: Biden administration. They are back in business. The nonsense is over.

536
00:29:06,920 --> 00:29:09,200
Speaker 5: They have support all the way to the Oval office.

537
00:29:09,800 --> 00:29:12,680
Speaker 5: You have the Secretary Noome out there visiting face to

538
00:29:12,760 --> 00:29:15,520
Speaker 5: face with the front line, asking them what they need,

539
00:29:15,640 --> 00:29:19,040
Speaker 5: ensuring they have those tools, and watching them be successful.

540
00:29:19,360 --> 00:29:22,040
Speaker 5: And it's not just the incumbent agents, but it's also

541
00:29:23,480 --> 00:29:28,920
Speaker 5: recruitment is off the charts, doubled since before Trump, and

542
00:29:28,960 --> 00:29:31,520
Speaker 5: so yeah, it's all going in that right direction as

543
00:29:31,560 --> 00:29:34,960
Speaker 5: it relates to them being successful, which is why most

544
00:29:35,000 --> 00:29:36,640
Speaker 5: of them are there. That's why they take the oath

545
00:29:36,640 --> 00:29:39,040
Speaker 5: because they want to protect us all and now they

546
00:29:39,080 --> 00:29:41,080
Speaker 5: have an opportunity to succeed as well.

547
00:29:42,640 --> 00:29:46,320
Speaker 1: Ron Vitzilo, advisor to CBP, Thanks for the good work.

548
00:29:46,320 --> 00:29:47,440
Speaker 1: So appreciate you being.

549
00:29:47,240 --> 00:29:48,920
Speaker 5: Here, Thanks for inviting me.

550
00:29:50,320 --> 00:29:52,560
Speaker 1: You consider yourself pro life like I am. Here's a

551
00:29:52,600 --> 00:29:55,200
Speaker 1: wake up call. Despite the overturning of Roe v. Wade

552
00:29:55,240 --> 00:29:58,120
Speaker 1: a few years ago, the number of abortions increased this

553
00:29:58,160 --> 00:29:58,600
Speaker 1: past year.

554
00:29:58,600 --> 00:29:59,360
Speaker 2: It's a tragedy.

555
00:30:00,560 --> 00:30:03,240
Speaker 1: The lives of more than a million babies were lost

556
00:30:03,360 --> 00:30:08,120
Speaker 1: last year to abortion, and there's no way this is

557
00:30:08,160 --> 00:30:10,280
Speaker 1: going to just stop on its own. We have to

558
00:30:10,320 --> 00:30:12,520
Speaker 1: step up. We the pro life community have to give

559
00:30:12,600 --> 00:30:16,200
Speaker 1: women the support, the love, and the clarity that they

560
00:30:16,320 --> 00:30:20,400
Speaker 1: need for life. And that's where preborn comes in. Preborn's

561
00:30:20,400 --> 00:30:23,400
Speaker 1: clinics are located in areas around the country with the

562
00:30:23,480 --> 00:30:25,959
Speaker 1: highest abortion rates, and they do this on purpose. There

563
00:30:25,960 --> 00:30:29,760
Speaker 1: are a frontline organization saving the lives of tiny babies

564
00:30:29,840 --> 00:30:32,760
Speaker 1: in the womb, day in and day out.

565
00:30:32,800 --> 00:30:33,360
Speaker 2: Just imagine.

566
00:30:33,400 --> 00:30:35,560
Speaker 1: I was at a Preborn clinic here in Miami, and

567
00:30:35,600 --> 00:30:37,880
Speaker 1: I got to meet a little three year old girl

568
00:30:38,440 --> 00:30:41,560
Speaker 1: and she was there because her mom, who's now very

569
00:30:41,600 --> 00:30:44,520
Speaker 1: involved with preborn and appreciates preborn, went to one of

570
00:30:44,520 --> 00:30:47,680
Speaker 1: those clinics three years ago and had an ultrasound, and

571
00:30:47,720 --> 00:30:50,000
Speaker 1: that mom saw the little heartbeats, saw the little baby

572
00:30:50,040 --> 00:30:53,320
Speaker 1: in her womb, and realized, this is a beautiful, precious life,

573
00:30:53,360 --> 00:30:55,360
Speaker 1: and I'm going to bring this life into the world.

574
00:30:55,360 --> 00:30:56,959
Speaker 1: And now I got to see this beautiful little three

575
00:30:57,040 --> 00:31:00,360
Speaker 1: year old girl running around or mom full of smiles

576
00:31:00,760 --> 00:31:04,440
Speaker 1: and also helping more and more moms to be just

577
00:31:04,600 --> 00:31:07,160
Speaker 1: like her make the decision for life. This is what

578
00:31:07,240 --> 00:31:11,160
Speaker 1: Preborn does. They rely on your donations, They rely on you.

579
00:31:11,240 --> 00:31:14,160
Speaker 1: They get no government money. Yes, we have to vote

580
00:31:14,160 --> 00:31:16,760
Speaker 1: for pro life, we also have to take action to

581
00:31:16,800 --> 00:31:20,640
Speaker 1: save lives with pro life organizations like Preborn. A gift

582
00:31:20,640 --> 00:31:23,880
Speaker 1: of twenty eight dollars would be enough for an entire

583
00:31:24,000 --> 00:31:26,840
Speaker 1: ultrasound process to be given to one of these moms

584
00:31:26,880 --> 00:31:29,400
Speaker 1: to be and to donate. All you have to do

585
00:31:29,440 --> 00:31:32,040
Speaker 1: is dial pound two fifty and say the keyword baby.

586
00:31:32,400 --> 00:31:35,080
Speaker 1: That's pound two five zero, say baby. A couple of

587
00:31:35,080 --> 00:31:36,480
Speaker 1: you out there had a great year so far.

588
00:31:36,560 --> 00:31:36,920
Speaker 2: This year.

589
00:31:37,040 --> 00:31:38,720
Speaker 1: You've made a lot of money. Your business is doing

590
00:31:38,760 --> 00:31:43,200
Speaker 1: really well. Trump economy's kicked in. You can afford tax deductible,

591
00:31:43,200 --> 00:31:45,960
Speaker 1: by the way, but you could afford one thousand dollars

592
00:31:45,960 --> 00:31:47,720
Speaker 1: donation right now to Preborn. I know there are a

593
00:31:47,720 --> 00:31:50,600
Speaker 1: few of you who can. Right now you're listening to

594
00:31:50,640 --> 00:31:53,560
Speaker 1: this one thousand dollars. I can't even do the math

595
00:31:53,600 --> 00:31:55,640
Speaker 1: for how many babies that would save off the top

596
00:31:55,640 --> 00:32:01,880
Speaker 1: of my head, about thirty. Yeah, about that, Dial pound

597
00:32:01,880 --> 00:32:05,760
Speaker 1: two five zero, say the keyword baby. That's pound two

598
00:32:05,840 --> 00:32:08,760
Speaker 1: five zero. Say the keyword baby. Twenty eight dollars, one

599
00:32:08,760 --> 00:32:11,480
Speaker 1: thousand dollars, whatever you can, whatever you can donate to

600
00:32:11,520 --> 00:32:12,200
Speaker 1: this organization.

601
00:32:12,600 --> 00:32:15,600
Speaker 2: Most of you. Twenty eight dollars. That's blessed. That's incredible.

602
00:32:16,080 --> 00:32:18,120
Speaker 2: Few you you're fortunate.

603
00:32:17,880 --> 00:32:20,680
Speaker 1: Enough right now you can step up. Dial pound two

604
00:32:20,760 --> 00:32:25,360
Speaker 1: five zero, say the keyword baby. Sponsored by Preborn.

605
00:32:33,520 --> 00:32:35,440
Speaker 4: Hey Buck, one of my kids called me an unk.

606
00:32:35,480 --> 00:32:38,720
Speaker 4: The other day and unk yep slaying evidently for not

607
00:32:38,800 --> 00:32:40,240
Speaker 4: being hip, being an old dude.

608
00:32:40,320 --> 00:32:42,200
Speaker 1: So how do we ununk you?

609
00:32:42,560 --> 00:32:45,719
Speaker 4: Get more people to subscribe to our YouTube channel. At

610
00:32:45,760 --> 00:32:47,040
Speaker 4: least that's to what my kids tell me.

611
00:32:47,280 --> 00:32:49,600
Speaker 1: That's simple enough. Just search the Clay Travis and Buck

612
00:32:49,640 --> 00:32:51,720
Speaker 1: Sexton Show and hit the subscribe button.

613
00:32:52,000 --> 00:32:54,800
Speaker 4: Takes less than five seconds to help ununk me.

614
00:32:55,080 --> 00:32:57,080
Speaker 1: Do it for Clay, do it for freedom, and get

615
00:32:57,120 --> 00:32:59,440
Speaker 1: great content while you're there the Clay Travis and Buck

616
00:32:59,440 --> 00:33:02,600
Speaker 1: Sexton Show YouTube channel. Much to talk about more on

617
00:33:02,640 --> 00:33:06,400
Speaker 1: the Big Beautiful Bill from back and forth on that one.

618
00:33:07,080 --> 00:33:10,080
Speaker 1: I have a Supreme Court decision that I think is

619
00:33:10,520 --> 00:33:13,000
Speaker 1: very interesting that I will break down for you.

620
00:33:14,520 --> 00:33:16,960
Speaker 2: We just spoke to an advisor to a CBP.

621
00:33:17,160 --> 00:33:21,480
Speaker 1: You know, Ice made the most immigrant arrests illegal immigrant

622
00:33:21,560 --> 00:33:25,440
Speaker 1: arrests in a single day Tuesday of this week, twenty

623
00:33:25,520 --> 00:33:29,760
Speaker 1: two hundred people in one day. They're ramping up. They

624
00:33:29,760 --> 00:33:33,280
Speaker 1: are ramping up, and that is certainly good to see.

625
00:33:34,000 --> 00:33:37,480
Speaker 1: On the bad side of things, a Colorado federal judge,

626
00:33:38,280 --> 00:33:42,720
Speaker 1: a Biden appointee, of course, has issued an order blocking

627
00:33:42,720 --> 00:33:45,600
Speaker 1: the Trump administration from deporting the wife and five children

628
00:33:45,640 --> 00:33:52,280
Speaker 1: of the terrorist in Boulder Mohammed Suliman. So there's a

629
00:33:52,360 --> 00:33:56,480
Speaker 1: judge who thinks that he's president. It seems this is

630
00:33:56,600 --> 00:34:01,000
Speaker 1: really bad stuff for the country. You have these judges

631
00:34:01,120 --> 00:34:03,960
Speaker 1: who really believe that they or act like they believe

632
00:34:04,000 --> 00:34:08,000
Speaker 1: that they call the shots for the executive branch. They

633
00:34:08,000 --> 00:34:09,719
Speaker 1: have power over foreign policy, they have.

634
00:34:09,680 --> 00:34:10,520
Speaker 2: Power over everything.

635
00:34:11,239 --> 00:34:13,000
Speaker 1: They can just tell the president you can't do that,

636
00:34:13,840 --> 00:34:16,759
Speaker 1: no constitutional anything for Nope, you just can't do that.

637
00:34:16,960 --> 00:34:18,640
Speaker 2: I say, you can't do that. So you can't do that.

638
00:34:19,200 --> 00:34:22,680
Speaker 1: Hundreds of lower court judges and any one of them

639
00:34:22,680 --> 00:34:26,719
Speaker 1: can just bind the commander in chief's hands.

640
00:34:27,040 --> 00:34:27,600
Speaker 2: On a whim.

641
00:34:28,160 --> 00:34:29,960
Speaker 1: And also, as we see they keep a lot of

642
00:34:29,960 --> 00:34:32,240
Speaker 1: them are overturned by the Supreme Court when they eventually

643
00:34:32,239 --> 00:34:36,160
Speaker 1: make their way up there. So they're overturned and also

644
00:34:37,320 --> 00:34:40,759
Speaker 1: very partisan from the get go. But we're supposed to

645
00:34:40,800 --> 00:34:44,719
Speaker 1: think that this is okay. Why should we think that this, Well,

646
00:34:44,719 --> 00:34:47,040
Speaker 1: it's not, as you know, and we'll continue to follow

647
00:34:47,040 --> 00:34:52,440
Speaker 1: this very closely. Now, something else that I think is

648
00:34:53,440 --> 00:34:59,360
Speaker 1: worth a bit of our time, and it is how

649
00:34:59,760 --> 00:35:04,040
Speaker 1: this this moment is when all of the people who

650
00:35:04,040 --> 00:35:07,560
Speaker 1: were part of the Biden lie are running for cover,

651
00:35:08,520 --> 00:35:11,800
Speaker 1: are scrambling away from what they did to the country

652
00:35:12,239 --> 00:35:14,040
Speaker 1: and trying to cash in on it. As you know,

653
00:35:14,360 --> 00:35:19,120
Speaker 1: I saw through the whole Tapper thing all along. This

654
00:35:19,160 --> 00:35:23,840
Speaker 1: is somebody who was a nasty defender of all things

655
00:35:23,880 --> 00:35:28,000
Speaker 1: Biden cognition during the Biden administration. He's a Democrat activist.

656
00:35:28,600 --> 00:35:33,640
Speaker 1: He is a very noxious combination of psychotically thin skinned

657
00:35:33,920 --> 00:35:38,759
Speaker 1: Tapper as well as wildly narcissistic and thinks that he

658
00:35:38,800 --> 00:35:42,680
Speaker 1: can fool all of us into believing that he did

659
00:35:42,719 --> 00:35:44,840
Speaker 1: the crime but should not do the time when it

660
00:35:44,880 --> 00:35:47,520
Speaker 1: comes to the Biden cover up, that he is the

661
00:35:47,560 --> 00:35:51,280
Speaker 1: guy who should be speaking truth to power. It didn't work.

662
00:35:52,280 --> 00:35:54,520
Speaker 1: I think people have seen through this. Yeah, he's selling

663
00:35:54,560 --> 00:35:57,520
Speaker 1: a lot of books, but he's sold whatever was left

664
00:35:57,520 --> 00:35:58,839
Speaker 1: of his credibility along with it.

665
00:36:00,040 --> 00:36:00,920
Speaker 2: And that's that's so.

666
00:36:01,000 --> 00:36:04,040
Speaker 1: That's one case of this, right, one case of a

667
00:36:04,080 --> 00:36:07,759
Speaker 1: Democrat propagandist running for the exits, or rather trying to

668
00:36:08,080 --> 00:36:12,920
Speaker 1: not switch teams, but just reposition himself for the next

669
00:36:13,719 --> 00:36:16,920
Speaker 1: for the next go round with the next administration. And

670
00:36:16,960 --> 00:36:23,440
Speaker 1: then you have this Correine Jean Pierre and I remember

671
00:36:23,600 --> 00:36:26,680
Speaker 1: when she was the Biden Press secretary. You know, we

672
00:36:26,719 --> 00:36:28,399
Speaker 1: would talk about some of the things that she said,

673
00:36:28,400 --> 00:36:31,200
Speaker 1: but we really started to I think, lay off on

674
00:36:31,280 --> 00:36:39,040
Speaker 1: this show because it felt like, you know, she just

675
00:36:39,120 --> 00:36:42,000
Speaker 1: wasn't up for it. And it's different when you're the

676
00:36:42,000 --> 00:36:44,919
Speaker 1: president versus being the press secretary. If the president's brain

677
00:36:44,960 --> 00:36:46,839
Speaker 1: doesn't work, it's not mean.

678
00:36:47,000 --> 00:36:47,799
Speaker 2: I have to say it.

679
00:36:48,640 --> 00:36:50,879
Speaker 1: If the White House Press secretary is just not very

680
00:36:50,880 --> 00:36:54,160
Speaker 1: bright and not very capable. I mean, I'm gonna say it,

681
00:36:54,239 --> 00:36:56,480
Speaker 1: but you know, I really I don't. I'll tell you

682
00:36:56,520 --> 00:36:59,759
Speaker 1: this two things to our credit, but maybe in this

683
00:36:59,760 --> 00:37:03,440
Speaker 1: big sometimes a bit of a hindrance. I'm not a

684
00:37:03,480 --> 00:37:05,160
Speaker 1: mean guy, and plays not a mean guy. We don't

685
00:37:05,160 --> 00:37:06,799
Speaker 1: like being mean to anybody.

686
00:37:07,560 --> 00:37:08,640
Speaker 2: We choose to be as.

687
00:37:08,600 --> 00:37:10,799
Speaker 1: Kind as we can be. I think, both of us,

688
00:37:10,800 --> 00:37:14,000
Speaker 1: in our own ways. Kindness is different than niceness. I

689
00:37:14,040 --> 00:37:16,440
Speaker 1: agree with that. Niceness is I don't want to be offensive,

690
00:37:16,440 --> 00:37:19,480
Speaker 1: and I mean, you know nice, eh, Kindness is no.

691
00:37:19,719 --> 00:37:21,759
Speaker 1: I want to treat people. I want to treat people

692
00:37:21,760 --> 00:37:26,799
Speaker 1: well and whenever possible, be respectful and good faith and

693
00:37:26,960 --> 00:37:31,600
Speaker 1: positive in my interactions with my fellow human beings. And

694
00:37:31,800 --> 00:37:34,200
Speaker 1: so basically I'm saying like we felt almost felt bad

695
00:37:34,200 --> 00:37:36,359
Speaker 1: for Kreean Jean Pierre because she was so in over

696
00:37:36,400 --> 00:37:38,399
Speaker 1: her head and it was so obvious, and I didn't

697
00:37:38,400 --> 00:37:41,120
Speaker 1: feel like beating up on her on the show was

698
00:37:41,160 --> 00:37:43,359
Speaker 1: really Yeah, we had some fun with the suntimes, but

699
00:37:43,520 --> 00:37:47,040
Speaker 1: it's very different like Weekend at Bernie's. Biden, he's the

700
00:37:47,040 --> 00:37:49,719
Speaker 1: commander in chief. Unacceptable, He's a fraudster, he's a liar.

701
00:37:49,760 --> 00:37:53,200
Speaker 1: The whole thing was disgusting. Cree Jean Pierre is somebody

702
00:37:53,280 --> 00:37:56,480
Speaker 1: who look, she was a DEI hire in the sense

703
00:37:56,520 --> 00:37:58,880
Speaker 1: that she clearly was not up for this job, but

704
00:37:58,960 --> 00:38:02,400
Speaker 1: she was. She is a lesbian and she is black,

705
00:38:03,040 --> 00:38:07,800
Speaker 1: and that was very exciting. Those characteristics were very exciting

706
00:38:07,840 --> 00:38:09,480
Speaker 1: for Democrats to have in a White.

707
00:38:09,280 --> 00:38:10,239
Speaker 2: House Press secretary.

708
00:38:11,120 --> 00:38:13,719
Speaker 1: Now, the conservative view on these things and you see

709
00:38:13,719 --> 00:38:18,200
Speaker 1: this with you know, you've got different people who could

710
00:38:18,200 --> 00:38:22,400
Speaker 1: be or rather are I guess diversity technically within the

711
00:38:22,440 --> 00:38:25,600
Speaker 1: Trump administration, whether it's women or you know, Richard Grenell

712
00:38:25,800 --> 00:38:28,520
Speaker 1: is gay. I mean, there's these people that are that

713
00:38:28,560 --> 00:38:31,239
Speaker 1: have worked for Trump at senior level, and it's just

714
00:38:31,239 --> 00:38:34,200
Speaker 1: about are they good at the job. And there's not

715
00:38:34,320 --> 00:38:40,040
Speaker 1: this obsession with the either immutable characteristics or the sexual

716
00:38:40,080 --> 00:38:43,239
Speaker 1: orientation or anything like this about these individuals. We just

717
00:38:44,280 --> 00:38:46,560
Speaker 1: pick people or you know, Trump picks people that he

718
00:38:46,600 --> 00:38:49,440
Speaker 1: thinks will be really good, and he puts a He's

719
00:38:49,480 --> 00:38:51,600
Speaker 1: put a lot of women, as you've noticed, for example,

720
00:38:51,960 --> 00:38:55,560
Speaker 1: in senior positions, and these are some tough ladies, and

721
00:38:55,719 --> 00:38:58,160
Speaker 1: they're they're showing their competency day in and day out,

722
00:38:58,200 --> 00:39:01,160
Speaker 1: I mean, ever on somebody like a caree. Caroline Levitt

723
00:39:01,160 --> 00:39:03,520
Speaker 1: is doing a phenomenal job as White House Press Secretary.

724
00:39:04,680 --> 00:39:07,640
Speaker 1: But Karine Jean Pierre just she didn't have it. She

725
00:39:07,719 --> 00:39:10,560
Speaker 1: wasn't very good at this. She was not up to

726
00:39:10,680 --> 00:39:14,959
Speaker 1: the task. And I actually think that it was clear

727
00:39:15,000 --> 00:39:17,000
Speaker 1: to a lot of people that that was the case,

728
00:39:17,040 --> 00:39:20,359
Speaker 1: and so she did not get very much heat from

729
00:39:20,400 --> 00:39:23,400
Speaker 1: the media. Yes, because she was Home Team, I understand.

730
00:39:24,080 --> 00:39:29,799
Speaker 1: And yes, she's a black lesbian and therefore is in

731
00:39:29,840 --> 00:39:34,200
Speaker 1: the world of identity politics double protected. As the left

732
00:39:34,320 --> 00:39:36,600
Speaker 1: views this right, if you're a conservative, if you're on

733
00:39:36,600 --> 00:39:38,400
Speaker 1: the right, you just view people as people and you

734
00:39:38,480 --> 00:39:41,080
Speaker 1: treat them as people and you expect, you know, you

735
00:39:41,480 --> 00:39:44,480
Speaker 1: hold everyone to the same framework of are you good

736
00:39:44,480 --> 00:39:46,080
Speaker 1: at this, are you bad at this? Are you doing

737
00:39:46,080 --> 00:39:48,120
Speaker 1: your job or you're not doing your job. That's that

738
00:39:48,280 --> 00:39:53,080
Speaker 1: is the right conservative point of view. The liberal point

739
00:39:53,080 --> 00:39:56,440
Speaker 1: of view is, well, we're gonna pick people for different things,

740
00:39:56,440 --> 00:39:57,680
Speaker 1: and this goes to a Supreme Court case.

741
00:39:57,719 --> 00:40:00,839
Speaker 2: I'm gonna talking about a second here, but the.

742
00:40:00,960 --> 00:40:02,839
Speaker 1: Left wing point of view, the democrat point of view,

743
00:40:02,840 --> 00:40:05,399
Speaker 1: we're gonna pick people and we're gonna tell you they're

744
00:40:05,440 --> 00:40:07,120
Speaker 1: just as good as anybody else, and they're not picked

745
00:40:07,160 --> 00:40:09,200
Speaker 1: for these reasons, but we're also going to praise them

746
00:40:09,239 --> 00:40:13,439
Speaker 1: for being these different things. So there's a cognitive dissonance here,

747
00:40:13,520 --> 00:40:15,719
Speaker 1: right Like this has always been the problem with the

748
00:40:15,760 --> 00:40:17,799
Speaker 1: firmative action, always been the problem with the EI. You

749
00:40:17,840 --> 00:40:21,040
Speaker 1: can't say we need to give an advantage to people

750
00:40:21,160 --> 00:40:27,480
Speaker 1: because of skin color, sexual orientation, whatever. But you can't

751
00:40:27,520 --> 00:40:30,320
Speaker 1: think that we're giving anybody an advantage because of those things.

752
00:40:31,560 --> 00:40:34,719
Speaker 1: This is the fundamental and the fundamental disconnect. This is

753
00:40:34,719 --> 00:40:37,680
Speaker 1: the cognitive dissonance. And then they do this thing of oh,

754
00:40:37,760 --> 00:40:40,120
Speaker 1: but it's just a little bit, it's just a little

755
00:40:40,120 --> 00:40:41,920
Speaker 1: bit of a help, because when you start to corner

756
00:40:41,960 --> 00:40:45,760
Speaker 1: them on these issues, you find out that this doesn't

757
00:40:45,800 --> 00:40:47,919
Speaker 1: it can't hold up, This doesn't make sense. You can't

758
00:40:47,920 --> 00:40:51,520
Speaker 1: ask somebody, you can't say I'm picking this person because

759
00:40:51,560 --> 00:40:54,480
Speaker 1: of a And then you're not allowed to say I'm

760
00:40:54,520 --> 00:40:57,600
Speaker 1: picking this person because of a you can't. You can't

761
00:40:57,640 --> 00:41:03,120
Speaker 1: do that. That does not compute. You're asking us to

762
00:41:03,880 --> 00:41:06,760
Speaker 1: believe it up is down, and or you're rather demanding

763
00:41:06,760 --> 00:41:11,520
Speaker 1: that we believe it up is down. So that's what

764
00:41:11,600 --> 00:41:14,839
Speaker 1: we saw with greenhow Perre here and now she is

765
00:41:15,000 --> 00:41:17,480
Speaker 1: putting out a book called Independent.

766
00:41:18,160 --> 00:41:19,239
Speaker 2: Here she is announcing it.

767
00:41:19,360 --> 00:41:22,440
Speaker 1: So she's leaving the Democrat Party. She's not just talking

768
00:41:22,480 --> 00:41:23,440
Speaker 1: about the Biden administrate.

769
00:41:23,560 --> 00:41:26,920
Speaker 2: She's leaving the Democrat Party. This is cut too.

770
00:41:26,960 --> 00:41:30,879
Speaker 1: This is how she described the broken White House on Instagram.

771
00:41:31,320 --> 00:41:34,680
Speaker 6: I think we need to stop thinking in boxes and

772
00:41:34,719 --> 00:41:38,719
Speaker 6: think outside of our boxes and not be so partisan.

773
00:41:39,239 --> 00:41:41,520
Speaker 6: And the way that I see moving forward in this

774
00:41:41,680 --> 00:41:45,480
Speaker 6: space that we're in right now is if you are

775
00:41:45,520 --> 00:41:49,239
Speaker 6: willing to stand side by side with me, regardless of

776
00:41:49,239 --> 00:41:53,399
Speaker 6: your political how you identify politically, and as long as

777
00:41:53,440 --> 00:41:57,280
Speaker 6: you respect the community that I belong to and vulnerable

778
00:41:57,320 --> 00:41:59,560
Speaker 6: communities that I respect, I.

779
00:41:59,520 --> 00:42:00,480
Speaker 1: Will be with you.

780
00:42:01,040 --> 00:42:03,680
Speaker 6: I will be I will move forward with you. And

781
00:42:03,800 --> 00:42:07,000
Speaker 6: that is I think so important.

782
00:42:07,640 --> 00:42:11,880
Speaker 1: Hm hmm. What happened to the Democrat Party?

783
00:42:12,080 --> 00:42:13,560
Speaker 2: Why is she leaving the Democrat Party?

784
00:42:13,600 --> 00:42:18,160
Speaker 1: She was the chief spokeswoman for the Biden regime, and

785
00:42:18,200 --> 00:42:22,640
Speaker 1: now she's an independent. Now she's talking about how she's

786
00:42:23,360 --> 00:42:31,279
Speaker 1: It makes no sense. It makes no sense. Uh. But

787
00:42:31,800 --> 00:42:35,799
Speaker 1: what's interesting to me now is this is completely predictable.

788
00:42:36,520 --> 00:42:38,839
Speaker 1: Now there are Democrats sources that are trashing her all

789
00:42:38,840 --> 00:42:42,040
Speaker 1: over the place. Oh, she wasn't up for it. She

790
00:42:42,120 --> 00:42:45,040
Speaker 1: wouldn't let Kirby. Remember Kirby, you know, the white guy

791
00:42:45,040 --> 00:42:47,759
Speaker 1: from the Pentagon. Uh, you know, he was gonna do

792
00:42:47,800 --> 00:42:50,840
Speaker 1: briefings on national security. But she wouldn't let him because

793
00:42:51,120 --> 00:42:53,399
Speaker 1: he's so much smarter than she is and it made

794
00:42:53,400 --> 00:42:56,439
Speaker 1: her insecure, so he wasn't allowed to it. And now

795
00:42:56,440 --> 00:43:01,359
Speaker 1: everyone's talking about this. I'm sorry when you propagate the

796
00:43:01,400 --> 00:43:04,200
Speaker 1: lie because it is worth it for you to do

797
00:43:04,280 --> 00:43:06,719
Speaker 1: so you don't get to turn around and pretend you're

798
00:43:06,760 --> 00:43:09,520
Speaker 1: a hero when it doesn't matter anymore. And this is

799
00:43:09,600 --> 00:43:14,040
Speaker 1: really the whole situation of what's going on now with

800
00:43:14,160 --> 00:43:16,560
Speaker 1: some of these going with whether it's Tapper, Green, John Pierre,

801
00:43:16,600 --> 00:43:19,440
Speaker 1: there's gonna be others too. Now all of a sudden,

802
00:43:19,719 --> 00:43:22,160
Speaker 1: you know, they're trying to tell you that they've had

803
00:43:22,160 --> 00:43:24,040
Speaker 1: this big change of heart. They see what's going on.

804
00:43:24,600 --> 00:43:27,480
Speaker 1: Why won't they say, why won't they reach out to

805
00:43:27,520 --> 00:43:29,879
Speaker 1: people like me, for example, and say you were right?

806
00:43:30,480 --> 00:43:31,920
Speaker 1: I don't just mean me, but you know people on

807
00:43:31,960 --> 00:43:33,319
Speaker 1: the right in general. Why don't they just say they

808
00:43:33,320 --> 00:43:35,799
Speaker 1: were right? And I should really think about why they

809
00:43:35,800 --> 00:43:40,480
Speaker 1: were right? And I should think about why I lied publicly,

810
00:43:41,040 --> 00:43:45,640
Speaker 1: speaking from the Democrat perspective, why they lied about things

811
00:43:46,640 --> 00:43:49,440
Speaker 1: when they just had to know everything they were saying

812
00:43:49,480 --> 00:43:52,720
Speaker 1: was nonsense. And what does that say about their character?

813
00:43:52,800 --> 00:43:55,920
Speaker 1: What does that say about their their integrity? I mean,

814
00:43:56,360 --> 00:43:59,279
Speaker 1: it means they have no integrity, and they have no

815
00:43:59,360 --> 00:44:04,840
Speaker 1: integrity at all. Here you go, who cares? Congressional Dems

816
00:44:04,840 --> 00:44:09,239
Speaker 1: say good riddance to Karine Jean Pierre. This is from Axios.

817
00:44:10,320 --> 00:44:12,440
Speaker 1: Democrat lawmakers say, who cares?

818
00:44:12,520 --> 00:44:13,040
Speaker 2: Here we go.

819
00:44:13,480 --> 00:44:16,799
Speaker 1: Her explanation for this move is as confusing and disjointed

820
00:44:16,880 --> 00:44:20,920
Speaker 1: as her answers in the White House press briefing. Democrats

821
00:44:20,920 --> 00:44:24,360
Speaker 1: are trashing her now and basically saying she's an idiot.

822
00:44:24,800 --> 00:44:27,160
Speaker 2: That's what they're saying. She never was up for it,

823
00:44:27,239 --> 00:44:28,080
Speaker 2: never could do it.

824
00:44:28,080 --> 00:44:32,720
Speaker 1: So they put a black lesbian in this role.

825
00:44:33,160 --> 00:44:34,400
Speaker 2: Tell Us it's amazing.

826
00:44:34,600 --> 00:44:36,839
Speaker 1: Tell Us they didn't do it though, because she's a

827
00:44:36,840 --> 00:44:40,120
Speaker 1: black lesbian. They say they just did it because she's

828
00:44:40,160 --> 00:44:43,279
Speaker 1: so good at the job. And we say, but she's

829
00:44:43,320 --> 00:44:46,440
Speaker 1: not good at the job, and they say, how dare

830
00:44:46,520 --> 00:44:49,040
Speaker 1: you she's good at the job. And now that the

831
00:44:49,400 --> 00:44:52,400
Speaker 1: whole thing has fallen apart, the administration's done, they lost.

832
00:44:52,480 --> 00:44:54,719
Speaker 1: It's Oh no, she was an idiot all along, and

833
00:44:54,760 --> 00:44:56,879
Speaker 1: the only reason she had the job was because she's

834
00:44:56,920 --> 00:44:59,480
Speaker 1: a black lesbian. And Democrats are obsessed with the EI.

835
00:45:00,120 --> 00:45:03,920
Speaker 1: That is what democrats are saying now. So everything that

836
00:45:03,960 --> 00:45:06,319
Speaker 1: we tell you on this show about what's going on,

837
00:45:06,360 --> 00:45:10,960
Speaker 1: you'll notice true. The things that we say, we just

838
00:45:11,040 --> 00:45:13,920
Speaker 1: keep getting more affirmation of. And we said it all along.

839
00:45:14,160 --> 00:45:16,920
Speaker 1: The other side has to keep trying to find ways

840
00:45:16,960 --> 00:45:21,120
Speaker 1: to explain to their audience, to their voters why they

841
00:45:21,160 --> 00:45:25,239
Speaker 1: lie and why they're wrong about everything. You could say

842
00:45:25,239 --> 00:45:27,200
Speaker 1: this is a trend, you could say this is an

843
00:45:27,280 --> 00:45:29,960
Speaker 1: indicator of something. And now I'm gonna come back and

844
00:45:30,000 --> 00:45:32,839
Speaker 1: speak about the Supreme Court decision that just came down.

845
00:45:32,920 --> 00:45:36,000
Speaker 1: It turns out you can't discriminate. You can't say I'm

846
00:45:36,000 --> 00:45:38,560
Speaker 1: firing you and hiring a lesbian because she's a lesbian.

847
00:45:40,080 --> 00:45:42,160
Speaker 1: This is a real case. This just happened that this

848
00:45:42,280 --> 00:45:44,720
Speaker 1: is wrong. Of course it's wrong. It's always been wrong.

849
00:45:45,000 --> 00:45:47,440
Speaker 1: But it was also always wrong to hire somebody because

850
00:45:47,480 --> 00:45:49,880
Speaker 1: they were a black lesbian or a lesbian or an

851
00:45:50,000 --> 00:45:54,719
Speaker 1: eskimo or whatever. It's always been wrong to do that.

852
00:45:55,320 --> 00:45:57,200
Speaker 1: It was never okay to do this thing that was

853
00:45:57,239 --> 00:45:59,560
Speaker 1: done for a long time. And now the courts agree

854
00:45:59,600 --> 00:46:02,839
Speaker 1: with me. Now you know, if any of you out

855
00:46:02,840 --> 00:46:07,640
Speaker 1: there are fired, so they can hire a minority or

856
00:46:08,160 --> 00:46:10,840
Speaker 1: a trans individual or whatever.

857
00:46:11,400 --> 00:46:15,279
Speaker 2: You can sue because it's wrong. Let's talk about this.

858
00:46:15,360 --> 00:46:21,160
Speaker 1: Let's come back to this sanity shortly here restoration of sanity.

859
00:46:21,520 --> 00:46:24,360
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860
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867
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869
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870
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871
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874
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875
00:47:14,160 --> 00:47:17,880
Speaker 1: bit of trouble in paradise here in Maga world.

876
00:47:18,960 --> 00:47:20,040
Speaker 2: I don't want to ignore this.

877
00:47:20,200 --> 00:47:23,120
Speaker 1: Like I said, it's like watching my family members picker

878
00:47:23,200 --> 00:47:25,600
Speaker 1: or something. I'm like, guys, guys, come on, come on,

879
00:47:25,800 --> 00:47:27,399
Speaker 1: you know, I don't like it. I don't like it.

880
00:47:28,200 --> 00:47:31,879
Speaker 1: I don't like it. Trump and Elon there's a bit

881
00:47:31,920 --> 00:47:36,080
Speaker 1: of a little bit of uh, you know, static, call

882
00:47:36,120 --> 00:47:39,279
Speaker 1: it static. I think they'll smooth this thing over. But look,

883
00:47:39,360 --> 00:47:42,239
Speaker 1: Elon's not working in the administration anymore, so it doesn't

884
00:47:42,280 --> 00:47:45,279
Speaker 1: really matter. Him going back to well, it matters, but

885
00:47:45,360 --> 00:47:48,040
Speaker 1: it's not a big deal. Him going back to running Tesla,

886
00:47:48,120 --> 00:47:50,520
Speaker 1: which is a company that I very much believe in,

887
00:47:50,719 --> 00:47:55,160
Speaker 1: thinks is incredible, and SpaceX and X the platform, and

888
00:47:55,520 --> 00:47:59,160
Speaker 1: Elon has done a lot, a lot for the country,

889
00:47:59,200 --> 00:48:03,920
Speaker 1: a lot for MAGA, and Doge has been I think

890
00:48:04,000 --> 00:48:06,960
Speaker 1: eye opening in a way that we really needed to see.

891
00:48:07,960 --> 00:48:11,040
Speaker 1: All of that said, it is a little bit frustrating

892
00:48:11,080 --> 00:48:14,279
Speaker 1: here to see Trump and Elon having a bit of

893
00:48:14,320 --> 00:48:19,320
Speaker 1: a spat over what's going on here with this spending bill.

894
00:48:20,800 --> 00:48:25,800
Speaker 1: Trump is now saying that Elon, hold on a second,

895
00:48:26,239 --> 00:48:31,560
Speaker 1: make sure I get this right. Elon has Trump derangement syndrome.

896
00:48:32,320 --> 00:48:32,759
Speaker 2: Here we go.

897
00:48:32,800 --> 00:48:35,600
Speaker 1: President Trump appeared to oh wait, we actually have some sound, guys.

898
00:48:35,640 --> 00:48:37,480
Speaker 1: Can you play the This is from the Oval office.

899
00:48:37,880 --> 00:48:41,319
Speaker 1: Trump talked about the situation with Elon. I don't know

900
00:48:41,320 --> 00:48:42,879
Speaker 1: what the number is on this one, but you can

901
00:48:42,920 --> 00:48:45,399
Speaker 1: pull up the clip we had it before. Let's hear

902
00:48:45,440 --> 00:48:47,480
Speaker 1: what Trump is saying about the Elon relationship.

903
00:48:47,520 --> 00:48:47,840
Speaker 2: Play it.

904
00:48:48,120 --> 00:48:52,360
Speaker 3: Elon and I had a great relationship. I don't know

905
00:48:52,440 --> 00:48:55,160
Speaker 3: what will anymore. I was surprised because you were here.

906
00:48:55,239 --> 00:48:57,840
Speaker 3: Everybody in this room practically was here. As we had

907
00:48:58,080 --> 00:49:00,440
Speaker 3: a wonderful send off, he said, wonderful thing about me.

908
00:49:00,560 --> 00:49:04,680
Speaker 3: You couldn't have nicer said that testinat he's worn the hat.

909
00:49:04,920 --> 00:49:05,800
Speaker 1: Trump was right.

910
00:49:05,680 --> 00:49:08,160
Speaker 3: About everything, and I am right about.

911
00:49:08,480 --> 00:49:10,160
Speaker 1: The great big beautiful bill.

912
00:49:10,680 --> 00:49:12,759
Speaker 3: We call it a great big beautiful bill because that's

913
00:49:12,800 --> 00:49:16,960
Speaker 3: what it is and uh again, biggest tax cuts in history,

914
00:49:17,040 --> 00:49:25,959
Speaker 3: biggest economic development moves anywhere, We've never done anything like it.

915
00:49:23,680 --> 00:49:25,960
Speaker 1: Saying they may not have a great relationship going for well, look,

916
00:49:26,000 --> 00:49:28,160
Speaker 1: one thing about Trump you have to remember, and you

917
00:49:28,239 --> 00:49:31,319
Speaker 1: know this, and I know this, is that you know

918
00:49:31,400 --> 00:49:33,120
Speaker 1: he's not an opponent you want to have.

919
00:49:34,400 --> 00:49:35,480
Speaker 2: It's not going to go well for you.

920
00:49:36,880 --> 00:49:40,520
Speaker 1: But he also always keeps the keeps the tent flap

921
00:49:40,600 --> 00:49:43,759
Speaker 1: open for you to come back and you know, be

922
00:49:43,880 --> 00:49:46,440
Speaker 1: back on the team. He has a real he has

923
00:49:46,520 --> 00:49:51,160
Speaker 1: really a remarkable willingness to bring people back into the

924
00:49:51,200 --> 00:49:54,279
Speaker 1: fold who want to want to be part of the

925
00:49:54,280 --> 00:49:56,680
Speaker 1: agenda and want to move the country in this in

926
00:49:56,719 --> 00:49:59,120
Speaker 1: the same direction a lot of Look, I want a

927
00:49:59,160 --> 00:49:59,920
Speaker 1: great example of this.

928
00:50:00,000 --> 00:50:03,520
Speaker 2: It's Mark Rubio. I mean Marco Rubio and Trump.

929
00:50:03,239 --> 00:50:06,520
Speaker 1: Went at each other in that primary in twenty sixteen.

930
00:50:06,560 --> 00:50:10,680
Speaker 1: You remember, you know, talking about like little hands and stuff,

931
00:50:10,719 --> 00:50:13,120
Speaker 1: and you know, Marco decided he was gonna play a

932
00:50:13,160 --> 00:50:15,760
Speaker 1: little rough with Trump, and Trump could play a lot rougher.

933
00:50:15,800 --> 00:50:18,680
Speaker 1: And we all remember what happened. We all remember what happened.

934
00:50:19,320 --> 00:50:23,800
Speaker 1: And now Mark Rubio is Trump's a plus Secretary of State.

935
00:50:24,680 --> 00:50:29,080
Speaker 1: Total confidence in going both ways there, and he's doing

936
00:50:29,080 --> 00:50:31,560
Speaker 1: great stuff for the administration, and you know, Mark Rubio

937
00:50:31,640 --> 00:50:33,279
Speaker 1: is just getting it done, and Trump knows it, and

938
00:50:33,320 --> 00:50:35,520
Speaker 1: he's and he is dialed in, he is locked in,

939
00:50:36,320 --> 00:50:38,880
Speaker 1: and a lot of people are saying Rubio kind of

940
00:50:38,920 --> 00:50:42,320
Speaker 1: gets the most Improved, most Improved award on the Republican

941
00:50:42,400 --> 00:50:45,840
Speaker 1: side of things. And he's doing great stuff and the

942
00:50:45,920 --> 00:50:47,840
Speaker 1: Secretary of State deserves a lot of credit for that.

943
00:50:48,280 --> 00:50:50,080
Speaker 1: We'll have him on the show hopefully sometime soon. We'll

944
00:50:50,080 --> 00:50:54,160
Speaker 1: talk to him about it. But yeah, I think it's

945
00:50:54,200 --> 00:51:00,600
Speaker 1: exactly exactly the case that Trump will always allow people

946
00:51:00,600 --> 00:51:03,360
Speaker 1: to come back in after there's been a public split,

947
00:51:03,440 --> 00:51:05,880
Speaker 1: unless they like play really dirty and try to imprison

948
00:51:05,920 --> 00:51:08,200
Speaker 1: his family or something, which some lunatics have tried to do.

949
00:51:09,000 --> 00:51:11,080
Speaker 1: But I bring this up because this is what Elon

950
00:51:11,520 --> 00:51:12,360
Speaker 1: put out on X.

951
00:51:13,760 --> 00:51:15,160
Speaker 2: Elon has the richest guy on the planet.

952
00:51:15,680 --> 00:51:18,839
Speaker 1: I don't know, are there two guys with bigger and

953
00:51:18,920 --> 00:51:24,560
Speaker 1: both very deserved but bigger egos on Earth. I don't

954
00:51:24,600 --> 00:51:28,200
Speaker 1: know it would be. I mean, there's delusionally, Cuth Oberman.

955
00:51:28,200 --> 00:51:29,960
Speaker 1: I mean, there's people who have huge egos who are

956
00:51:29,960 --> 00:51:33,960
Speaker 1: total losers for people who are actually winners with big egos.

957
00:51:34,760 --> 00:51:38,640
Speaker 1: Trumpet Elon are high up on the list, right, And

958
00:51:39,040 --> 00:51:41,960
Speaker 1: Elon put this out there on X just in the

959
00:51:42,040 --> 00:51:43,920
Speaker 1: last about an hour.

960
00:51:43,760 --> 00:51:48,440
Speaker 2: Hour and change ago. Without me, this is Elon.

961
00:51:49,239 --> 00:51:53,200
Speaker 1: Without me, Trump would have lost the election, Dems would

962
00:51:53,239 --> 00:51:57,439
Speaker 1: control the House, and the Republicans would be fifty one

963
00:51:57,640 --> 00:52:06,360
Speaker 1: forty nine in the Senate. And then he added such ingratitude. Okay,

964
00:52:07,600 --> 00:52:10,160
Speaker 1: just look, I'm just telling you what's happening here, just

965
00:52:10,200 --> 00:52:12,040
Speaker 1: saying that there's a little bit of a thing, a

966
00:52:12,120 --> 00:52:13,640
Speaker 1: little bit, a little bit of a.

967
00:52:15,560 --> 00:52:16,200
Speaker 2: Speedbump.

968
00:52:17,120 --> 00:52:19,640
Speaker 1: I think it's all gonna be fine. Elon's upset about

969
00:52:19,640 --> 00:52:23,080
Speaker 1: this bill. He's a true believer in cutting the government spending.

970
00:52:23,160 --> 00:52:26,640
Speaker 1: And I understand what his case is with this. The

971
00:52:26,719 --> 00:52:29,239
Speaker 1: problem as I've laid out the problems, but for one,

972
00:52:29,280 --> 00:52:31,759
Speaker 1: it's if you tried to do what Elon wants them

973
00:52:31,800 --> 00:52:35,919
Speaker 1: to do, you would not have passage of it in Congress.

974
00:52:36,520 --> 00:52:39,960
Speaker 1: So what's the what's the way forward?

975
00:52:40,000 --> 00:52:40,200
Speaker 4: Then?

976
00:52:40,360 --> 00:52:42,239
Speaker 1: I don't I don't understand what the way forward is

977
00:52:42,480 --> 00:52:44,359
Speaker 1: because you have to get Democrats to go on If

978
00:52:44,360 --> 00:52:45,880
Speaker 1: you have to get Democrats to go on board, now

979
00:52:45,960 --> 00:52:46,720
Speaker 1: now you got nothing.

980
00:52:47,640 --> 00:52:49,840
Speaker 2: Now you're just letting the Democrats call the shots.

981
00:52:49,840 --> 00:52:53,600
Speaker 1: That's crazy. So unless you want to knop the filibuster

982
00:52:53,680 --> 00:52:56,520
Speaker 1: on this issue in this moment, and remember, the Democrats

983
00:52:57,080 --> 00:53:00,279
Speaker 1: will be very happy to go completely insane the moment

984
00:53:00,320 --> 00:53:01,960
Speaker 1: they have fifty one seats in the Senate if the

985
00:53:01,960 --> 00:53:03,920
Speaker 1: filibuster is gone, and they may still do that in

986
00:53:03,960 --> 00:53:06,279
Speaker 1: the future. And maybe that's the argument that should be

987
00:53:06,280 --> 00:53:09,920
Speaker 1: made right now, but that's not the argument that's being made.

988
00:53:10,560 --> 00:53:13,880
Speaker 1: But it's you have the bromance of Trump and Elon

989
00:53:14,040 --> 00:53:16,440
Speaker 1: right now. They want a little space. They want a

990
00:53:16,480 --> 00:53:20,040
Speaker 1: little space. Trump is out on the golf course, Elon's

991
00:53:20,080 --> 00:53:23,160
Speaker 1: going for a walk on the beach. Some sad music

992
00:53:23,200 --> 00:53:26,720
Speaker 1: playing in the background. I think they're both probably having

993
00:53:26,719 --> 00:53:29,760
Speaker 1: some moments where they think back to, you know, hand

994
00:53:29,800 --> 00:53:33,880
Speaker 1: in hand walking down the White House lawn and talking

995
00:53:33,880 --> 00:53:36,799
Speaker 1: about how great Tesla is and the happy music going.

996
00:53:37,880 --> 00:53:38,960
Speaker 2: We're in a different part of the.

997
00:53:38,920 --> 00:53:43,279
Speaker 1: Story right now. It's a little sad, but it's gonna

998
00:53:43,280 --> 00:53:45,799
Speaker 1: be okay. I'm sure that they will make amends. I'm not.

999
00:53:45,960 --> 00:53:47,839
Speaker 2: I don't think this is some big thing.

1000
00:53:48,320 --> 00:53:50,920
Speaker 1: Elon is red pilled, Elon knows that Maga is.

1001
00:53:52,000 --> 00:53:52,880
Speaker 2: It's it's just.

1002
00:53:52,880 --> 00:53:55,000
Speaker 1: A question of whether we want to have a sane

1003
00:53:55,000 --> 00:53:59,520
Speaker 1: country in a sane government. Democrats are complete lunatics, total lunatics. Honestly,

1004
00:53:59,640 --> 00:54:02,800
Speaker 1: they're Yeah, there are smart, nice Democrats. I'm friends with

1005
00:54:02,840 --> 00:54:05,799
Speaker 1: plenty of Democrats. That's not what I'm saying. The Democrat Party, though,

1006
00:54:05,840 --> 00:54:08,920
Speaker 1: is now run by an ideology that is just deranged.

1007
00:54:09,880 --> 00:54:12,120
Speaker 1: We see this, whether we're talking about the trans athlete

1008
00:54:12,120 --> 00:54:16,239
Speaker 1: stuff that they're still sticking to, or don't even really

1009
00:54:16,239 --> 00:54:18,080
Speaker 1: know what the Democrats stand for right now because they're

1010
00:54:18,080 --> 00:54:24,480
Speaker 1: still trying to regain some footing after supporting a dementia

1011
00:54:24,480 --> 00:54:26,719
Speaker 1: patient for four years that obviously had dementia and they

1012
00:54:26,719 --> 00:54:28,279
Speaker 1: pretend like he didn't. And now we all have to

1013
00:54:28,280 --> 00:54:31,960
Speaker 1: sit around saying, well, you knew the whole time. How

1014
00:54:32,040 --> 00:54:35,520
Speaker 1: can you lecture us on anything? How can Democrats lecture

1015
00:54:35,640 --> 00:54:38,560
Speaker 1: us on anything when it comes to government or decision

1016
00:54:38,560 --> 00:54:40,600
Speaker 1: making whatever, When they had Joe Biden as president for

1017
00:54:40,640 --> 00:54:44,520
Speaker 1: four years and we all knew and they knew, what

1018
00:54:44,600 --> 00:54:46,279
Speaker 1: grounds do they have to stand on here?

1019
00:54:47,360 --> 00:54:50,919
Speaker 2: So I just wanted to I wanted to note that

1020
00:54:50,960 --> 00:54:53,080
Speaker 2: there's a little bit of a.

1021
00:54:53,040 --> 00:54:55,880
Speaker 1: Little bit of friction right now in MAGA world with

1022
00:54:55,920 --> 00:54:57,879
Speaker 1: Trump and Elon and I just I'll say this too,

1023
00:54:58,840 --> 00:55:03,080
Speaker 1: two alpha dogs like that. This was if I didn't

1024
00:55:03,120 --> 00:55:04,719
Speaker 1: say it on this show, it's because I didn't want

1025
00:55:04,719 --> 00:55:07,600
Speaker 1: to rain on the election parade of how great everything

1026
00:55:07,680 --> 00:55:08,080
Speaker 1: was going.

1027
00:55:08,120 --> 00:55:09,720
Speaker 2: But we've all known that.

1028
00:55:11,239 --> 00:55:14,279
Speaker 1: Eventually this is this was gonna there was gonna be

1029
00:55:14,280 --> 00:55:16,440
Speaker 1: a little bit of a And when I say a

1030
00:55:16,480 --> 00:55:18,160
Speaker 1: little bit of a break, I don't mean that they're

1031
00:55:18,160 --> 00:55:20,200
Speaker 1: gonna hate each other and Elon's gonna go left wing

1032
00:55:20,239 --> 00:55:23,200
Speaker 1: and Trump's gonna have to throw big haymakers at him

1033
00:55:23,200 --> 00:55:26,279
Speaker 1: publicly for a long time. But there was a there

1034
00:55:26,320 --> 00:55:28,319
Speaker 1: was a time limit to how long I think these

1035
00:55:28,320 --> 00:55:33,000
Speaker 1: two guys could really closely collaborate before it was gonna

1036
00:55:33,000 --> 00:55:34,719
Speaker 1: be best for all that Trump goes back to being

1037
00:55:34,760 --> 00:55:37,000
Speaker 1: president and Elon goes back to running his companies.

1038
00:55:37,000 --> 00:55:37,839
Speaker 2: And that is where we are.

1039
00:55:38,360 --> 00:55:41,759
Speaker 1: So it's not a big deal. But you know, the

1040
00:55:41,800 --> 00:55:45,600
Speaker 1: bromance movie here is. Like I said, this is a

1041
00:55:45,640 --> 00:55:47,400
Speaker 1: little bit of different space. I'm sure give it a

1042
00:55:47,400 --> 00:55:49,839
Speaker 1: few months, Elon will be at mar A Lago. They'll

1043
00:55:49,880 --> 00:55:51,640
Speaker 1: be laughing it up and having dinner and everything else.

1044
00:55:51,680 --> 00:55:53,840
Speaker 1: But Elon's are very intense. I don't know him, but

1045
00:55:53,920 --> 00:55:55,840
Speaker 1: just I haven't met him, actually, which is kind of

1046
00:55:55,840 --> 00:55:57,640
Speaker 1: a shame. I'd like to meet him at some point.

1047
00:55:58,760 --> 00:56:03,520
Speaker 1: Elon's are very intense, obviously, and believes very much in

1048
00:56:03,560 --> 00:56:07,200
Speaker 1: the mission that he was taking on a doge. And

1049
00:56:07,239 --> 00:56:09,960
Speaker 1: when you have that level of intensity, you can become

1050
00:56:10,000 --> 00:56:14,919
Speaker 1: a little I don't know, monomaniacal is the right word.

1051
00:56:14,920 --> 00:56:17,719
Speaker 1: You cant a little two laser focus on that one thing.

1052
00:56:17,760 --> 00:56:19,919
Speaker 1: Trump has got to focus on a lot of things,

1053
00:56:20,480 --> 00:56:22,360
Speaker 1: and he does have to deal with what is possible

1054
00:56:22,400 --> 00:56:22,920
Speaker 1: out there.

1055
00:56:23,600 --> 00:56:26,120
Speaker 2: And this is a difference.

1056
00:56:25,840 --> 00:56:28,960
Speaker 1: Right, Elon is used to being You can be much

1057
00:56:29,040 --> 00:56:31,680
Speaker 1: closer to a truly, you can be much closer to

1058
00:56:31,719 --> 00:56:33,160
Speaker 1: a dictator.

1059
00:56:32,600 --> 00:56:35,160
Speaker 2: In your day to day affairs, day to day affairs.

1060
00:56:35,080 --> 00:56:40,080
Speaker 1: As the CEO and primary shareholder of a company, you

1061
00:56:40,160 --> 00:56:42,839
Speaker 1: can be much closer to a dictator than you can

1062
00:56:42,920 --> 00:56:46,439
Speaker 1: as president, with a Congress and a Supreme Court and

1063
00:56:46,840 --> 00:56:49,440
Speaker 1: three hundred and fifty million people who all have opinions.

1064
00:56:49,520 --> 00:56:53,200
Speaker 2: Right, It's it's different. It's different. Now.

1065
00:56:53,239 --> 00:56:55,120
Speaker 1: I know Trump has been CEO of companies too, so

1066
00:56:55,200 --> 00:56:58,960
Speaker 1: he understands that. But Elon's never been president. And there's

1067
00:56:59,400 --> 00:57:02,640
Speaker 1: some some nuances here that are in the skill set.

1068
00:57:03,239 --> 00:57:05,080
Speaker 1: But I'm wondering what you think about this one. If

1069
00:57:05,120 --> 00:57:07,400
Speaker 1: you I am not surprised by this at all. I

1070
00:57:07,400 --> 00:57:09,319
Speaker 1: will just say I'm not surprised by this at all.

1071
00:57:09,680 --> 00:57:12,400
Speaker 1: I was also not surprised at all at the Elon

1072
00:57:12,800 --> 00:57:16,960
Speaker 1: Ramaswami split that occurred right away. I won't get into

1073
00:57:16,960 --> 00:57:18,760
Speaker 1: that now. Maybe we'll talk about another time. But I

1074
00:57:19,000 --> 00:57:21,479
Speaker 1: knew that Elon was like, that was not gonna work.

1075
00:57:23,040 --> 00:57:25,800
Speaker 1: And I'm just saying that that was and everyone who

1076
00:57:25,800 --> 00:57:30,000
Speaker 1: knows me and uh, that was my feelings on that

1077
00:57:30,040 --> 00:57:32,640
Speaker 1: where they know that I that wasn't going to be.

1078
00:57:33,080 --> 00:57:36,480
Speaker 1: I was on vacation when uh, and overseas, so I

1079
00:57:36,560 --> 00:57:39,440
Speaker 1: really wasn't online or or getting involved in it. But

1080
00:57:39,560 --> 00:57:42,920
Speaker 1: that whole h one B visa situation with with Elon

1081
00:57:43,000 --> 00:57:48,600
Speaker 1: and Ramaswami and and Trump and MAGA and yeah, so anyway,

1082
00:57:48,920 --> 00:57:50,760
Speaker 1: I want to get back to our agenda here, what's

1083
00:57:50,760 --> 00:57:53,520
Speaker 1: going on with h with the country and and all

1084
00:57:53,560 --> 00:57:55,440
Speaker 1: the good things that are happening. But I had to

1085
00:57:55,440 --> 00:57:58,440
Speaker 1: take note of a little bit of a disturbance in

1086
00:57:58,480 --> 00:58:00,360
Speaker 1: the force, if you will, with the Trump and it's

1087
00:58:00,360 --> 00:58:01,920
Speaker 1: gonna it's gonna be fine, though, I'm telling you those

1088
00:58:01,960 --> 00:58:05,760
Speaker 1: guys It's one of Trump's nicest qualities really just as

1089
00:58:05,760 --> 00:58:09,120
Speaker 1: a person, is that he's willing to he's willing to

1090
00:58:09,240 --> 00:58:11,680
Speaker 1: let people see the error of their ways and come

1091
00:58:11,720 --> 00:58:15,240
Speaker 1: back and bring them back into the fold. And it's fine.

1092
00:58:16,480 --> 00:58:18,600
Speaker 1: It's a really nice it's a really lovely quality to have.

1093
00:58:18,640 --> 00:58:21,720
Speaker 1: I will say many people don't have that at all.

1094
00:58:21,800 --> 00:58:26,080
Speaker 1: Many people hold grudges, and grudges are kind of grudges

1095
00:58:26,080 --> 00:58:29,920
Speaker 1: are not generally good. Grudges I think usually are toxic

1096
00:58:31,240 --> 00:58:34,200
Speaker 1: or you know, usually have a toxicity to them. I

1097
00:58:34,600 --> 00:58:36,960
Speaker 1: didn't get to get into the details of this Supreme

1098
00:58:37,000 --> 00:58:41,520
Speaker 1: Court decision, but essentially the notion of reverse discrimination has

1099
00:58:41,600 --> 00:58:44,640
Speaker 1: been flipped on its head here. The Supreme Court had

1100
00:58:44,680 --> 00:58:47,200
Speaker 1: to the basics of this are a woman was working

1101
00:58:47,280 --> 00:58:52,240
Speaker 1: for a hold on it's like a juvenile detention facility

1102
00:58:52,280 --> 00:58:55,120
Speaker 1: or something. She was an administrator. She applied for a

1103
00:58:55,160 --> 00:58:57,360
Speaker 1: more senior job. They didn't give her that job, and

1104
00:58:57,360 --> 00:58:59,720
Speaker 1: then they demoted her and she lost out to somebody

1105
00:58:59,760 --> 00:59:01,800
Speaker 1: who was lesbian, and that she was replaced by somebody

1106
00:59:01,840 --> 00:59:04,160
Speaker 1: who was gay, and she felt like there was some

1107
00:59:04,240 --> 00:59:07,880
Speaker 1: dei stuff going on here, and she sued and the

1108
00:59:07,920 --> 00:59:10,640
Speaker 1: lower courts, the District Court in the Circuit Court. This

1109
00:59:10,680 --> 00:59:15,680
Speaker 1: is aimes Ames via Ohio Department of Youth Services. And

1110
00:59:16,360 --> 00:59:21,480
Speaker 1: what the lower courts found was, well, you're a heterosexual female,

1111
00:59:22,200 --> 00:59:27,680
Speaker 1: so it's not really possible for you to be this

1112
00:59:27,760 --> 00:59:29,400
Speaker 1: was Yeah, like I said, this was in Ohio. It's

1113
00:59:29,440 --> 00:59:33,080
Speaker 1: not really possible for you to be discriminated against. And

1114
00:59:33,880 --> 00:59:37,160
Speaker 1: they said that she failed to clear the bar applied

1115
00:59:37,160 --> 00:59:41,120
Speaker 1: to members of a majority group in order to be

1116
00:59:41,280 --> 00:59:44,439
Speaker 1: considered discriminated against under Title seven of the Civil Rights Act.

1117
00:59:45,560 --> 00:59:48,960
Speaker 1: So there's a higher burden if you're straight than if

1118
00:59:49,000 --> 00:59:53,040
Speaker 1: you're LGBTQ IA plus because you're still supposed to be protected.

1119
00:59:53,240 --> 00:59:54,880
Speaker 1: These are protected characteristics.

1120
00:59:54,960 --> 00:59:55,080
Speaker 2: Right.

1121
00:59:55,080 --> 00:59:57,720
Speaker 1: You can't discriminate on the basis of sex, can't discriminate

1122
00:59:57,800 --> 01:00:00,600
Speaker 1: on the basis of skin color, ethnicity.

1123
01:00:00,680 --> 01:00:01,800
Speaker 2: Right, that's the law.

1124
01:00:02,440 --> 01:00:05,040
Speaker 1: But they're saying, well, but it's harder to prove discrimination

1125
01:00:05,160 --> 01:00:07,720
Speaker 1: if you're white, or it's harder to prove discrimination if

1126
01:00:07,760 --> 01:00:17,000
Speaker 1: you're straight. And by a unanimous decision written by written

1127
01:00:17,040 --> 01:00:25,160
Speaker 1: by Justice Jackson Catangie Brown Jackson that the standard is

1128
01:00:25,200 --> 01:00:31,160
Speaker 1: the standard, and discrimination is discrimination. And so you fire somebody,

1129
01:00:31,320 --> 01:00:34,640
Speaker 1: or you demote somebody or whatever, and it's provable that

1130
01:00:34,760 --> 01:00:37,080
Speaker 1: you did it. So you could hire someone who's gay,

1131
01:00:37,200 --> 01:00:40,480
Speaker 1: or you could hire somebody who's you know, an Eskimo

1132
01:00:40,640 --> 01:00:41,440
Speaker 1: or whatever.

1133
01:00:42,440 --> 01:00:47,040
Speaker 2: That's wrong. No more reverse discrimination. It's just discrimination.

1134
01:00:47,960 --> 01:00:52,160
Speaker 1: We're either protected and you can't hurt anyone based upon

1135
01:00:52,240 --> 01:00:54,840
Speaker 1: things they can't change, which is obviously what is ethical

1136
01:00:54,880 --> 01:00:56,920
Speaker 1: and what the law should be, or we got a problem.

1137
01:00:58,240 --> 01:01:02,240
Speaker 1: The Left hates this, of course, because this is a

1138
01:01:02,440 --> 01:01:07,000
Speaker 1: huge challenge to the DEI regime. This is a huge

1139
01:01:07,200 --> 01:01:11,320
Speaker 1: challenge to the racial spoils system and the gender identity

1140
01:01:11,360 --> 01:01:14,480
Speaker 1: spoils system that they set up. Spreme Court n I

1141
01:01:14,600 --> 01:01:17,720
Speaker 1: know on this one. There are many months of the

1142
01:01:17,760 --> 01:01:20,200
Speaker 1: year when Pure Talk, my wireless company, is focused on

1143
01:01:20,320 --> 01:01:23,520
Speaker 1: charitable actions for our military veterans. This month, they're gifting

1144
01:01:23,560 --> 01:01:26,080
Speaker 1: one thousand American flags to our veterans as a gesture

1145
01:01:26,080 --> 01:01:28,600
Speaker 1: of gratitude for their service. And this version of our

1146
01:01:28,600 --> 01:01:31,520
Speaker 1: flag is made right here in America by Allegiance Flag.

1147
01:01:31,840 --> 01:01:34,760
Speaker 1: The Pure Talk team believes every service member who has

1148
01:01:35,000 --> 01:01:39,320
Speaker 1: faithfully served deserves one of these high quality flags. And

1149
01:01:39,360 --> 01:01:41,120
Speaker 1: with plans from just twenty five dollars a month for

1150
01:01:41,160 --> 01:01:44,040
Speaker 1: a limited talk text and plenty of data, you can

1151
01:01:44,160 --> 01:01:47,080
Speaker 1: enjoy America's most dependable five G network from pure Talk

1152
01:01:47,320 --> 01:01:49,800
Speaker 1: while cutting your cell phone built in half. The average

1153
01:01:49,800 --> 01:01:53,600
Speaker 1: family saves over of thousand dollars a year. Pure Talk

1154
01:01:53,640 --> 01:01:55,880
Speaker 1: employs one hundred percent of a customer service team right

1155
01:01:55,880 --> 01:01:58,320
Speaker 1: here in the US. Just dial pound two fifty say

1156
01:01:58,360 --> 01:02:01,840
Speaker 1: the keywords Clay, end Buck. Puretok's US customer service team

1157
01:02:01,840 --> 01:02:03,919
Speaker 1: will get you switched to hassle free in as little

1158
01:02:03,960 --> 01:02:07,320
Speaker 1: as ten minutes. Again, dial pound two five zero say

1159
01:02:07,480 --> 01:02:10,880
Speaker 1: Clay and Buck to support veterans and switch to America's

1160
01:02:10,920 --> 01:02:12,680
Speaker 1: wireless company, Puretalk