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Speaker 1: Welcome back in Clay Travis buck Sexton Show, Friday edition

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Speaker 1: of the program. Appreciate all of you hanging out with us.

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Speaker 1: Twelve hours up, three more to go here on the weekend.

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Speaker 1: We hope to send you into the weekend and a

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Speaker 1: good mood. Lots to dive into Donald Trump at Alabama

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Speaker 1: commencement address. Heck of an introduction from Nick Saban. We

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Speaker 1: will discuss NPR funding pulled. We're going to dive into that.

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Speaker 1: And kilmar Abrao Garcia, democrats favorite Maryland dad turns out

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Speaker 1: his wife is on audio begging for help because he

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Speaker 1: has been beating her, and he is on video engaged

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Speaker 1: in human trafficking being pulled over in my home state

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Speaker 1: of Tennessee. This guy is maybe, as we have said

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Speaker 1: for some time, but I think even Democrats are like

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Speaker 1: oh man, even for Democrats, stupidity choosing an El Salvadoran

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Speaker 1: gang beating wife beating, human trafficking illegal immigrant to be

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Speaker 1: the front facing opposition to Trump's deportation policies in America

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Speaker 1: is next level in competence. We will discuss all that

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Speaker 1: and more, But Buck, I wanted to start. I got

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Speaker 1: to give President Trump a tremendous amount of credit because

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Speaker 1: he is actually doing what has been discussed for decades

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Speaker 1: as long as I can remember, you correct me if

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Speaker 1: I'm wrong. You've been in the conservative side of media

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Speaker 1: for longer than I have. But as long as I've

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Speaker 1: been doing media, Republicans have been teeing off at NPR

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Speaker 1: and saying, why do our tax dollars go to support

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Speaker 1: left wing propaganda in any way? And nothing ever happens. Well,

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Speaker 1: last night Trump decided to finally sign a executive order

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Speaker 1: that will end all of the money that NPR gets.

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Speaker 1: And I think this is pretty substantial, and I want

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Speaker 1: to play several different aspects of this, but I think

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Speaker 1: you'll sign off off the top here on this buck.

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Speaker 1: Everyone should have to compete in the marketplace. Our show

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Speaker 1: competes directly within PR, probably in hundreds of markets across

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Speaker 1: the country.

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Speaker 2: For sure.

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Speaker 1: The federal government is not giving us millions of dollars

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Speaker 1: to aid in our business in any way. We've got

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Speaker 1: to go out and our company has to sell ads.

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Speaker 1: We have to compete for ratings in five hundred I

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Speaker 1: think it's fifty five different markets in all fifty states

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Speaker 1: across the country, and we don't get any built in advantage,

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Speaker 1: and that's how it should be. Everyone in media should compete,

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Speaker 1: and the shows that are the most popular should have

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Speaker 1: the most success. I've never understood why the government should

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Speaker 1: be giving money to NPR for any reason, regardless of

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Speaker 1: what their politics were, But given how left wing their

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Speaker 1: politics are, the idea that publicans basically should be funding

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Speaker 1: opposition research with taxpayer dollars is crazy and I wanted

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Speaker 1: to play several different cuts of the crazy leader of NPR.

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Speaker 1: The crew did a good job pulling all of this. First,

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Speaker 1: she says the number one challenge that she faces buck

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Speaker 1: this is Catherine Mayer says the number one challenge she

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Speaker 1: faces is the First Amendment. This is not an ideal

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Speaker 1: thing for someone in media to be saying. This is

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Speaker 1: the head of NPR, cut eleven back in twenty twenty one.

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Speaker 3: The number one challenge here that we see is, of course,

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Speaker 3: the First Amendment in the United States is a fairly

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Speaker 3: robust protection of rights. And that is a protection of

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Speaker 3: rights both for platforms, which I actually think is very

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Speaker 3: important that platforms have those rights to be able to

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Speaker 3: regulate what kind of content they want on their sites,

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Speaker 3: but it also means that it is a little bit

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Speaker 3: tricky to really address some of the real challenges of

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Speaker 3: where does bad information come from and sort of the

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Speaker 3: influenced peddlers who have made a real market economy around it.

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Speaker 1: Okay, so the first amendment is quote the number one

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Speaker 1: challenge that she faces. Here is another cut. This is

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Speaker 1: from June twenty second, twenty twenty one as well. At

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Speaker 1: this time she was the CEO of basically Wikipedia, I

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Speaker 1: believe correct, all of the different Wikipedia related entities. And

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Speaker 1: have I told you this, Buck, I don't know if

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Speaker 1: you've ever gone into your Wikipedia page. Lara, my wife

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Speaker 1: went into my Wikipedia page and tried to edit it

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Speaker 1: because she was upset at there being a bunch of

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Speaker 1: things that she knew to be inaccurate having been married

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Speaker 1: to me for twenty one years. She tried to make

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Speaker 1: edits to my Wikipedia page and they were rejected because

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Speaker 1: they said that she did not have adequate knowledge to

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Speaker 1: be able to change the Wikipedia page. And I think,

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Speaker 1: did there really erase that you are universally considered the

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Speaker 1: handsomest sports talk radio host out there?

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Speaker 2: Did they really get rid of that claim?

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Speaker 1: Let me tell you something, Buck, I'm not sure that

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Speaker 1: Laura's adjustments on my Wikipedia page would have actually even

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Speaker 1: been very positive, but they would have been accurate, because

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Speaker 1: I think she has a pretty good sense of the

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Speaker 1: last twenty years or so of my career. But I

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Speaker 1: did think that was very funny because somehow she ended

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Speaker 1: up on the page, and she was telling me this

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Speaker 1: a while back. She said, I want to you know,

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Speaker 1: there's lots of stuff that's totally wrong on there, and

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Speaker 1: she was like, and I went in and tried to

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Speaker 1: fix it, and they told me that the editor you know,

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Speaker 1: that my edits weren't allowed to be accepted because I

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Speaker 1: didn't have the requisite Wikipedia Street cred or whatever to

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Speaker 1: be considered an expert on this. So I did think

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Speaker 1: that was very funny. But here she is saying that

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Speaker 1: she took a very active information approach to disinformation and

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Speaker 1: wanted to make sure of all of her censorship moves. Again,

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Speaker 1: cut Tin, we took.

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Speaker 3: A very active approach to disinformation and disinformation coming into

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Speaker 3: the lot, not just the last selection, but also looking

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Speaker 3: at how we supported our editing community in an unprecedented

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Speaker 3: moment where we were not only dealing with the global pandemic,

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Speaker 3: we were dealing with a novel virus which is by

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Speaker 3: definition means we knew nothing about it in real time

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Speaker 3: and we're trying to figure it out as the pandemic

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Speaker 3: went along. And so we really set up in response

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Speaker 3: to both the pandemic but also in response to the

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Speaker 3: upcoming US election and as a model for future elections

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Speaker 3: outside of the US, including a number that are happening

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Speaker 3: this year. The model was around, how do we create

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Speaker 3: sort of a clearing house of information that brings the

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Speaker 3: institution of the Wikimedia Foundation with the editing community in

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Speaker 3: order to be able to identify threats early on through

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Speaker 3: conversations with government of course, as well as other platform operators,

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Speaker 3: to understand sort of what the landscape looks like.

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Speaker 1: Okay, so that continues, and then I want to play

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Speaker 1: one more cut just to kind of let us everybody

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Speaker 1: out there understand because a lot of people may not

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Speaker 1: pay attention to NPR. And I do think this is significant.

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Speaker 1: She says, truth is a distraction from finding consensus.

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Speaker 2: This is nine.

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Speaker 4: One of the most significant differences critical from moving from

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Speaker 4: polarization to productivity is that the wikipedians who write these

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Speaker 4: articles aren't actually focused on finding the truth. They're working

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Speaker 4: for something that's a little bit more attainable, which is

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Speaker 4: the best of what we can know right now, and

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Speaker 4: after seven years there, I actually believe that they're onto

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Speaker 4: something that for our most tricky disagreements, seeking the truth

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Speaker 4: and seeking to convince others of the truth isn't necessarily

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Speaker 4: the best taste to start. In fact, I think our

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Speaker 4: reverence for the truth might become might have become a

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Speaker 4: bit of a distraction that is preventing us from finding

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Speaker 4: consensus and getting important things done.

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Speaker 1: Buck, what do you think this NPR CEO is awful?

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Speaker 1: They just sent us the links of all the stories

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Speaker 1: which are clearly biased. Trump is finally doing the right

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Speaker 1: thing here, right, and it's taken decades for it to happen. Yeah,

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Speaker 1: I mean, Clay, I don't think it really is going

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Speaker 1: to change very much. I mean, one, this woman is

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Speaker 1: no longer the CEO. To the funding level that they

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Speaker 1: get from the government is not huge. I don't even

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Speaker 1: know what it is. But I do think it's funny

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Speaker 1: that they complain about the cut to the funding level. Right,

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Speaker 1: They'll say in the same breath, Well, most of the

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Speaker 1: funding for NPR and PBS doesn't actually come from the government. Okay, Well,

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Speaker 1: then why do you get it at all. So there's

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Speaker 1: a principle that's at stake here of why would any

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Speaker 1: media entity that is it's clearly ideological start with that?

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Speaker 1: But why would it get state funds or government funds.

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Speaker 1: It makes no sense. There's no argument for it to continue,

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Speaker 1: So why should it continue. The only argument is that

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Speaker 1: people on the left like it and they want to

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Speaker 1: have they want to have a rigged game or rigged system.

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Speaker 1: But yeah, this woman, these soundbites, Just to be clear,

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Speaker 1: these were older, and she was pretty unanimously voted off

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Speaker 1: the island of more senior media executive jobs because saying

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Speaker 1: that the First Amendment is an impediment to your information operation,

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Speaker 1: to the SIOP that you're running, is not something that

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Speaker 1: is generally going to be well received by a majority

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Speaker 1: of the American public.

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Speaker 2: I would hope, I would think.

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Speaker 1: But yeah, Trump says that he's pulling this, I'm not

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Speaker 1: sure that he'll be able to. This is the problem

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Speaker 1: we keep running into once again, congressionally authorized funding versus

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Speaker 1: executive branch administering of different pools of cash that have

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Speaker 1: gone to all these different agencies. So we'll see they're

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Speaker 1: challenging this play obviously, right, away and they're saying that

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Speaker 1: their money comes from Congress, not from the president. YadA YadA.

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Speaker 1: But it's the right move, it's the right thing to do.

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Speaker 1: I'm glad that he's doing it. It makes the libs cry,

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Speaker 1: which is always fun. That woman is the president CEO

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Speaker 1: of NPR. At the time, she was head of Wikipedia.

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Speaker 1: So Catherine Mayer that all that audio is, Oh, yes,

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Speaker 1: she's still the pro My gosh, I'm sorry. I thought

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Speaker 1: she got I thought she got fired.

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Speaker 2: No, no, no, no no.

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Speaker 1: She got elevated to that job in March of twenty

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Speaker 1: twenty four, which was when all this audio from Wikipedia.

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Speaker 1: W I'm sorry I sent in that. I sent in

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Speaker 1: the clip of her this morning, the old clipper her.

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Speaker 1: I thought she had been I thought she had been

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Speaker 1: like reassigned out of the role. I didn't realize she is.

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Speaker 1: She is the president and CEO of NPR all that,

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Speaker 1: and now she was not at the time that we

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Speaker 1: played that audio. She was at Wikipedia. But she got

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Speaker 1: elevated after that too, head of INPR. That is wild

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Speaker 1: are raising And I saw your tweet about this, and

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Speaker 1: I think we should hammer this home. If it is

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Speaker 1: truly not a significant form of revenue for them taxpayer dollars.

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Speaker 2: Why do they fight so hard to keep it? To

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Speaker 2: your points?

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Speaker 1: I mean, if we lost two percent of the revenue

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Speaker 1: on this show because somebody was affiliated with the show

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Speaker 1: that shouldn't have been, and you and I came on

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Speaker 1: and we were beating the drums and screaming about how

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Speaker 1: we needed to keep the two percent, I think a

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Speaker 1: lot of you would say this is very strange. What's interesting, Buck,

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Speaker 1: is the way that it is crafted. Direct in PR

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Speaker 1: money is not very substantial, but I think they're backdoring

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Speaker 1: substantial dollars through local NPR affiliates such that their budget

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Speaker 1: would be severely constrained without this money, because otherwise, why are.

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Speaker 2: They squealing it care so much? Right?

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Speaker 1: And why give the right a talking point that is correct.

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Speaker 1: It's not just something we say, it's the truth, which

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Speaker 1: is that they shouldn't be getting this money because if

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Speaker 1: they are media entities that can compete in a fair marketplace,

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Speaker 1: there's no reason for this. That's stunning. That woman I

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Speaker 1: remember replying those clips a while ago. I'm actually in shock.

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Speaker 1: I don't know why. I thought that they had moved

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Speaker 1: her somewhere else, So thank you. I mean what you

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Speaker 1: would think that given that she is politically radioactive and

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Speaker 1: they are now in the Trump era, that maybe it

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Speaker 1: would make sense to have a new president and CEO.

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Speaker 1: But no, she is still there and she is still

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Speaker 1: taking our taxpayer dollars, and they are suing along with

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Speaker 1: Corporation of Public Broadcasting to say that they must have

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Speaker 1: all these dollars and that Trump does not have the

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Speaker 1: authority to resind them in any way.

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Speaker 2: Well, I also think that they.

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Speaker 1: There's clear I think you're right that there's more money

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Speaker 1: than they there's more ways that they get money from

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Speaker 1: the public than they let on, because otherwise, why have

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Speaker 1: this vulnerability out there that allows us to constantly bash them?

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Speaker 1: Although I think we've been bashing them for so long

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Speaker 1: without consequence that maybe they don't care at some level.

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Speaker 2: But I think that.

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Speaker 1: It's gonna be interesting to see how this actually goes.

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Speaker 1: They like the idea of government funding something like NPR.

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Speaker 1: They want to keep this, I think at some level

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Speaker 1: because they want the precedent to be there that this

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Speaker 1: is something the government does. The government has a role

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Speaker 1: in information operations, which is what this is. NPR is

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Speaker 1: an information operation, you know, and you can tell you

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Speaker 1: can take that in a very kind of bland where

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Speaker 1: you can take into the more military info ops or

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Speaker 1: psyops sense. I mean, they are running political programming to

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Speaker 1: the American people under the guise of it being a

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Speaker 1: free and form a free and fair marketplace of ideas

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Speaker 1: based entity, and it clearly is a rigged system. I mean,

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Speaker 1: and they don't want it to be called the rig

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Speaker 1: system anymore, then stop rigging the system.

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Speaker 2: And they're competing directly with us, which is why I mean.

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Speaker 1: I think on a you know, sort of larger just

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Speaker 1: standing on precedent, standing on principal perspective, it makes sense.

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Speaker 1: But also if you're listening to this program, the government's

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Speaker 1: not giving us tens of millions of dollars, and so

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Speaker 1: if that's not occurring here, we should have an open

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Speaker 1: marketplace where people compete fairly, not where you've got a

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Speaker 1: rig game. Look, speaking of competing fairly, they're better healthcare

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Speaker 1: plan choices than Obamacare. That's not going to surprise a

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Speaker 1: lot of you. But how affordable are they You'd be

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Speaker 1: surprised how affordable Ease for everyone is. Ease for everyone

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Speaker 1: cost as low as two hundred and sixty two dollars

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Speaker 1: per month. You get free unlimited prescriptions with ninety three

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Speaker 1: percent of all drugs covered available at no extra cost,

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Speaker 1: including insulin, huge sale on brand names, free unlimited virtual

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Speaker 1: primary care, urgent care. With just a thirty dollars copay,

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Speaker 1: you get generous cashback reimbursements, doctor office, visits, emergency room, visits,

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Speaker 1: ambulance transportation. If the Obama administration hadn't permanently tarnished the

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Speaker 1: term the Affordable Care Act, one could make the argument

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Speaker 1: this plan Ease for Everyone, actually is affordable. Replace your

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Speaker 1: overpriced plan Obamacare with Ease for Everyone, the only group

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Speaker 1: plan any adult in the US is eligible to join.

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Speaker 1: Visit Ease for Everyone dot com slash clay. That's Ease

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Speaker 1: spelled ease. E's for fo R Everyone dot com slash clay.

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Speaker 1: You can also find the info at the Clayanbuck dot

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Speaker 1: com sponsor page, paid for by Affordable Benefit Choices.

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Speaker 5: Making America great again isn't just one man, It's many.

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Speaker 5: The team forty seven five asked Sunday's at noon Eastern

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Speaker 5: in the Clay and Buck podcast feed. Find it on

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Speaker 5: the iHeartRadio app or wherever you get your podcasts.

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Speaker 1: We are joined by Deputy White House Chief of Staff,

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Speaker 1: Steven Miller, one of the sharpest minds in this White House,

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Speaker 1: the policy Maestro extraordinaire, Steven. Great to have you back

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Speaker 1: on the program.

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Speaker 6: Thank you appreciate that very generous introduction. I promise I'm

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Speaker 6: not paying him anything for those kind words.

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Speaker 1: Well, we know that a man who loves the movie

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Speaker 1: Blood Sport as much as you do, has fantastic taste

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Speaker 1: and is a wise fellow.

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Speaker 2: So let's start with this, Stei.

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Speaker 6: The Bloodspard is a metaphor for life. If you want

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Speaker 6: to understand how to succeed in life, just watch that

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Speaker 6: movie and you'll get it.

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Speaker 2: I totally agree. Van Dam's fine, It's no question about that.

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Speaker 1: There's some reporting out there, Stephen, that you may also

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Speaker 1: be taking on wearing another hat, so to speak with

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Speaker 1: National Security Advisor. Can you give us any preview of

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Speaker 1: that or is it still TBD?

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Speaker 6: Right now, we're all just focused on supporting the Secretary

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Speaker 6: of State Rubio, who is a very good and close

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Speaker 6: friend of mine in his role right now, Dual hadded

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Speaker 6: as Secretary of State and is the head of the

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Speaker 6: National Security Council, and so all of our energy here

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Speaker 6: in this building and across the administration is focused on

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Speaker 6: supporting Secretary of Rubio, again, someone who not only haven't

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Speaker 6: become very close friends with, but I've had a chance

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Speaker 6: to see him working up close and personal these last

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Speaker 6: one hundred days and also even before then, and he's

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Speaker 6: really phenomenal. And the President made absolute the right choice

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Speaker 6: by giving him this responsibility.

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Speaker 1: He is Secretary Rubio as well as I believe interm

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Speaker 1: National Security Advisor and also Acting Administrator of USAID I

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Speaker 1: think at this point, right, so he's taken on a bunch.

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Speaker 6: Don't forget he's in charge of the National Archives too.

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Speaker 2: Oh that's right, yeah, yes, that is a why.

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Speaker 6: It's a testament to the fact that Marco deeply understand

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Speaker 6: and believes in the President's agenda and what President Trump

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Speaker 6: is trying to accomplish. And everyone in this building, everyone

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Speaker 6: across the administration, over these last one hundred days, has

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Speaker 6: developed a deep admiration for Marco and what he's done

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Speaker 6: at State Department and what he's done in the other

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Speaker 6: roles he's been tapped to do. I mean, for example,

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Speaker 6: as you mentioned, the dismantlement of the communist slush fund

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Speaker 6: known as USAID, and so you know, Marco is that

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Speaker 6: rare combination of talent where he has the soft skills,

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Speaker 6: the diplomacy and the ability to forge deals, but also

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Speaker 6: the hard skills. And we've seen that, and I've seen

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Speaker 6: it very directly in terms of Marco's work on migration

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Speaker 6: and his ability to drive really hard negotiations with foreign

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Speaker 6: countries to bend them into submission on cooperation that we need.

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Speaker 6: The President has made a tremendous choice with Marco, and

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Speaker 6: it's all together. The President's team across the board is

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Speaker 6: the strongest team you've ever had in this White House.

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Speaker 1: Steven, appreciate you coming on, appreciate all the work you're doing,

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Speaker 1: and we want you to come back on the program

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Speaker 1: when you're officially named NSSA, But in the future that

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Speaker 1: might well.

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Speaker 6: High I'm looking at right now is I want to

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Speaker 6: take over Marco's job of the National Archives. I think

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Speaker 6: I could do some great things there.

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Speaker 1: You know, I would actually love to get a behind

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Speaker 1: the scenes tour of the Archives because I got to

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Speaker 1: do the World War Two Museum. They took me behind

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Speaker 1: the scenes, and as good as the actual things that

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Speaker 1: you get to see in the museum is the things

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Speaker 1: that they have in the archives that are not actually

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Speaker 1: publicly visible. Are some of the coolest things. I bet

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Speaker 1: at almost every museum because they only get to show

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Speaker 1: you a small pinprick of whatever their overall collection is,

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Speaker 1: so that would actually be super cool as well. Let's

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Speaker 1: go into the first hundred days. Buck and I have

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Speaker 1: been ecstatic with everything that we have seen. How much

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Speaker 1: of the first hundred days just flood the zone strategy?

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Speaker 2: Do you think has worked?

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Speaker 1: And how do you keep that pace up as we

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Speaker 1: move into the next hundred days and everybody is trying

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Speaker 1: to run as fast as they possibly can.

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Speaker 6: Yes, well, the flood the zone strategy has worked exactly

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Speaker 6: as President Trump intended it to, which is shock and

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Speaker 6: awe against the forces of corruption that have been bleeded

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Speaker 6: in this country of its wealth. That's security, it's prestige.

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Speaker 6: You know. The worst mistake you can make when you

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Speaker 6: are fighting the deep state, the radical left and they're

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Speaker 6: outside supporters, the communists, the NGOs, the crazy judges, is

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Speaker 6: to spend a year debating and deliberate and discussing a

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Speaker 6: decision that everyone knows needs to get made, that everyone

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Speaker 6: understands has to happen. Because all you're doing is given

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Speaker 6: the opposition time to develop a resistance battle plan in

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Speaker 6: time to engage in asymmetric bureaucratic warfare through leaks, through manipulation,

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Speaker 6: feeding information to the ACLU, feeding information to crazy judges,

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Speaker 6: feeding information to radical democrats on Capitol Hill. This is

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Speaker 6: an unfortunate situation that our country has found itself in.

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Speaker 6: To put it in mild terms, that over the years,

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Speaker 6: over the decades, that we have developed this deep state

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Speaker 6: that is so committed to the destruction of America as

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Speaker 6: we know it. You know, one of the ways illustrate,

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Speaker 6: by the way to you know, to newer hires, how

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Speaker 6: the deep state works is I give this example. If

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Speaker 6: you had good news and you emailed it to one

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Speaker 6: thousand federal career bureaucrats, the odds of it speaking are

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Speaker 6: zero percent, Like you would never go out anywhere total

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Speaker 6: operational security and secrecy. If you send an email that

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Speaker 6: contained one thread that could be used to say, get

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Speaker 6: an injunction against the policy by the ACLU, it would

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Speaker 6: leak in literally one second. So in other words, you

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Speaker 6: are running in operation of federal bureaucrats that in many

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Speaker 6: cases are trying to do everything they can to slow

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Speaker 6: you down and halt your progress and all the things

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Speaker 6: that bureaucracy has been working on are all the things

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Speaker 6: that President Trump ran against. Censorship, radical gender ideology, critical

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Speaker 6: race theory, the weaponization of the justice system, the weaponization

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Speaker 6: of the intelligence system. Of course, most notably the policy

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Speaker 6: of open borders and master settlement and mass migration, all

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Speaker 6: of which was made possible by the full complicit participation

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Speaker 6: of vast swaws of the Feller bureaucracy that was implementing

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Speaker 6: those policies, that was advancing those policies, that was defending

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Speaker 6: those policies, and not to mention the worst thing and

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Speaker 6: the push to constantly try to perpetuate conflict around the world,

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Speaker 6: it's a solving conflict around the world. So President Trump

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Speaker 6: inherited a historic mandate, a battleground landslide the likes of

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Speaker 6: which we have never seen before, to implement all these

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Speaker 6: programs that he campaigned on. And that is why he

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Speaker 6: has moved with such force, intention and speed to fulfill

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Speaker 6: his mandate and his obligation and his promise to the

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Speaker 6: American people.

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Speaker 1: We're speaking to Steven Miller, Deputy White House Chief of Staff,

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Speaker 1: and Stephen we know that because of his status as

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Speaker 1: a special government employee. The plan all along has been

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Speaker 1: for Elon Musk to phase out of the sort of

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Speaker 1: day to day of DOGE, and I believe that's coming

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Speaker 1: up late later this month. There's been a lot that

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Speaker 1: DOGE has on earthed uncovered in terms of just crazy stuff.

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Speaker 1: I mean, you mentioned the communist slush fund known as USAID.

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Speaker 2: Can we borrow that? By the way? Can I use that?

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Speaker 1: Can I use that we're attributed to get to Stephen Miller?

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Speaker 1: But I want to say going forward, because it is

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Speaker 1: a communist slush fund. But there's also been this question

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Speaker 1: about recision from Congress, meaning that does Congress also now

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Speaker 1: have to do a lot or else none of the

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Speaker 1: spending cuts actually happen. Can you just give us some

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Speaker 1: visibility into what happens next with DOGE? And is Congress

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Speaker 1: in a place where, because it's budgetary, they can actually

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Speaker 1: do some of the things that DOGE recommends. And you know,

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Speaker 1: with irrespective of how some of these judges have inflicted

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Speaker 1: themselves on this too.

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Speaker 6: Well, like so many things, the answer is all the above,

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Speaker 6: in the sense that the a lot of these savings

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Speaker 6: are self executing automatic. So for example, when Thuberal employees

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Speaker 6: resign or retire and take the payout, you know, the

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Speaker 6: so called fork in the Road email that went out.

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Speaker 6: All of those savings are accrued automatically. You don't need

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Speaker 6: to go to Congress. That all happens automatically. You fire

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Speaker 6: federal workers or federal workers are it's called a reduction

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Speaker 6: in force. The accronm for that is RIFF. All of

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Speaker 6: those reforms deliver both immediate and long term savings to

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Speaker 6: the American people. Congress have never established a floor of

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Speaker 6: federal employees. It just grew and grew and grew and

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Speaker 6: grew on its own, and so those are going to

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Speaker 6: be enormous and immense savings for the American people. When

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Speaker 6: you have agencies or functions of government that were created

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Speaker 6: through executive action and that can therefore be terminated by

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Speaker 6: executive action, again, those are all savings that are going

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00:24:38,640 --> 00:24:40,560
Speaker 6: to be immediate, that are going to be automatic, they're

437
00:24:40,600 --> 00:24:45,160
Speaker 6: going to be long lasting. A lot of the discretionary

438
00:24:45,200 --> 00:24:48,440
Speaker 6: grant spending to diversity, equity and inclusion policies, for example,

439
00:24:48,640 --> 00:24:51,720
Speaker 6: Congress never authorized any of that spending in the first place.

440
00:24:52,240 --> 00:24:54,879
Speaker 6: So you can save an enormous amount of money just

441
00:24:55,000 --> 00:24:59,200
Speaker 6: through administrative and executive action that there are additional programs

442
00:24:59,600 --> 00:25:05,480
Speaker 6: that were or that we're created through previous bills that

443
00:25:06,080 --> 00:25:10,919
Speaker 6: are going to be rescinded, both in the reconciliation bills. So,

444
00:25:10,960 --> 00:25:13,639
Speaker 6: for example, the Reconciliation Bill is going to cut a

445
00:25:13,640 --> 00:25:15,640
Speaker 6: lot of the wastele byt and spending, and so you're

446
00:25:15,640 --> 00:25:17,919
Speaker 6: going to see a lot of permanent savings as a

447
00:25:17,960 --> 00:25:20,760
Speaker 6: result of that. And then there's also opportunities you mentioned

448
00:25:20,760 --> 00:25:24,160
Speaker 6: recisionist packages, and that's someone that the Omb's actively looking

449
00:25:24,200 --> 00:25:26,040
Speaker 6: at in terms of what are the packages of cups

450
00:25:26,040 --> 00:25:30,680
Speaker 6: that you can send to Congress that would get privileged considerations,

451
00:25:30,680 --> 00:25:33,120
Speaker 6: they wouldn't be subject to the filibuster, and could get

452
00:25:33,119 --> 00:25:36,080
Speaker 6: cut with a Republican vote. So we're looking at everything

453
00:25:36,119 --> 00:25:37,920
Speaker 6: to walk in these savings and make them permanent.

454
00:25:38,720 --> 00:25:42,480
Speaker 1: Stephen, are you even you surprised sometimes at the moronic

455
00:25:42,600 --> 00:25:45,280
Speaker 1: positions that Democrats take? And I just want to give

456
00:25:45,400 --> 00:25:49,000
Speaker 1: two to you that I can't even believe are still real.

457
00:25:49,359 --> 00:25:53,119
Speaker 1: Abrao Garcia, now is we're going to play the audio

458
00:25:53,160 --> 00:25:56,919
Speaker 1: we haven't yet. Wife is on audio begging for a

459
00:25:57,000 --> 00:26:01,159
Speaker 1: Mariland judge to protect her from him, and there is

460
00:26:01,359 --> 00:26:04,960
Speaker 1: a report out there in the courts that she said

461
00:26:05,040 --> 00:26:08,600
Speaker 1: he could kill her and get away with it. The

462
00:26:08,760 --> 00:26:12,720
Speaker 1: video from the Tennessee Highway Patrol just went public of

463
00:26:13,040 --> 00:26:16,040
Speaker 1: him being a human trafficker. That was up on Fox

464
00:26:16,119 --> 00:26:20,560
Speaker 1: News last night. You have Democrats going down to El

465
00:26:20,640 --> 00:26:23,480
Speaker 1: Salvador to visit him. The last time I think I

466
00:26:23,560 --> 00:26:26,159
Speaker 1: saw you in person, Stephen, was at the University of

467
00:26:26,160 --> 00:26:29,320
Speaker 1: Alabama where Trump spoke and the where he was going

468
00:26:29,320 --> 00:26:34,040
Speaker 1: to the Georgia game. And then absolutely everybody goes insane

469
00:26:34,520 --> 00:26:37,320
Speaker 1: last night when he says, hey, as long as I'm president,

470
00:26:37,359 --> 00:26:39,960
Speaker 1: there aren't going to be men competing in women's sports.

471
00:26:40,359 --> 00:26:43,240
Speaker 1: It's not only they're wrong on issues. Are you astounded

472
00:26:43,280 --> 00:26:46,240
Speaker 1: by the ways that they choose to fight on issues?

473
00:26:46,480 --> 00:26:47,520
Speaker 1: I still can't get over it.

474
00:26:49,280 --> 00:26:54,280
Speaker 6: Well, the Democrat Party is so deep in the throes

475
00:26:55,480 --> 00:27:00,520
Speaker 6: of Trump derangement syndrome that even if Asident Trump he

476
00:27:00,560 --> 00:27:03,119
Speaker 6: talked about this in his State of the Union address

477
00:27:03,200 --> 00:27:05,320
Speaker 6: or is addressed to Congress, you have he came out

478
00:27:05,320 --> 00:27:09,000
Speaker 6: with a cure for cancer, the Democrats would say, we

479
00:27:09,040 --> 00:27:11,800
Speaker 6: are in favor of cancer and oppose your cure. So

480
00:27:11,840 --> 00:27:15,520
Speaker 6: they're so disconnected from the needs of the American people.

481
00:27:15,760 --> 00:27:19,959
Speaker 6: They're so disconnected from the oaths they took upon assuming office,

482
00:27:20,040 --> 00:27:22,840
Speaker 6: or their obligations to serve the American people, that when

483
00:27:22,880 --> 00:27:27,080
Speaker 6: President Trump deports an illegal alien gang banger in MS

484
00:27:27,160 --> 00:27:32,200
Speaker 6: thirteen who is a wife beater human trafficker, they leap

485
00:27:32,359 --> 00:27:34,879
Speaker 6: to the defense of that alien and demand his return

486
00:27:34,960 --> 00:27:38,960
Speaker 6: and freedom in the United States as though. This is

487
00:27:39,040 --> 00:27:41,439
Speaker 6: the highest parody for the Democrat Party is the freedom

488
00:27:41,480 --> 00:27:45,560
Speaker 6: of foreign terrorists on American soil. Again, Men and women's

489
00:27:45,600 --> 00:27:47,960
Speaker 6: forces another great example where they are they are fighting

490
00:27:48,000 --> 00:27:51,280
Speaker 6: tooth and nail all over the country, in our schools

491
00:27:51,320 --> 00:27:56,240
Speaker 6: and our courtrooms, in Congress to protect the so called

492
00:27:56,320 --> 00:28:00,640
Speaker 6: right of men to compete against women in a f athletics,

493
00:28:00,680 --> 00:28:03,800
Speaker 6: to use women's locker rooms, to use women's restrooms. The

494
00:28:04,320 --> 00:28:07,240
Speaker 6: civil rights cause of our time, Accorn's Democrats, is the

495
00:28:07,320 --> 00:28:11,320
Speaker 6: right of all biological males in this country to use

496
00:28:11,480 --> 00:28:14,240
Speaker 6: every single facility that has historically been reserved for women

497
00:28:14,720 --> 00:28:17,119
Speaker 6: and to enter every single woman's sporting league. So this

498
00:28:17,200 --> 00:28:20,120
Speaker 6: is what the Democratic Party is today. I mean, it's

499
00:28:20,119 --> 00:28:22,359
Speaker 6: a ship of lunatics.

500
00:28:21,840 --> 00:28:24,200
Speaker 1: Yes, absolutely, and they can't walk away from this, which

501
00:28:24,200 --> 00:28:26,480
Speaker 1: is even more remarkable. Stephen, we've only got about a

502
00:28:26,520 --> 00:28:27,960
Speaker 1: minute before we're going to be running into a break.

503
00:28:28,000 --> 00:28:30,040
Speaker 1: I just wanted you to lay out to the degree

504
00:28:30,080 --> 00:28:34,040
Speaker 1: you can deportations. We've seen a lot of great The

505
00:28:34,080 --> 00:28:36,320
Speaker 1: border is secure, and I don't we should never be

506
00:28:36,400 --> 00:28:38,920
Speaker 1: ungrateful for what an amazing job this administration has done.

507
00:28:38,960 --> 00:28:40,800
Speaker 1: It just happened so fast. I feel like people can't

508
00:28:40,800 --> 00:28:44,040
Speaker 1: even believe it. Ninety five percent production, that's amazing, but

509
00:28:44,200 --> 00:28:48,240
Speaker 1: getting the bide in millions and millions beginning to turn

510
00:28:48,280 --> 00:28:51,680
Speaker 1: that around and deport them en mass. Is there a

511
00:28:51,720 --> 00:28:53,960
Speaker 1: plan for this? Is this going to happen?

512
00:28:54,560 --> 00:28:57,360
Speaker 6: Yes? Absolutely, and I wish we had more than a minute.

513
00:28:57,400 --> 00:29:02,280
Speaker 6: So the job number one for President Trump obviously was

514
00:29:02,560 --> 00:29:07,360
Speaker 6: to end all the immigration across the southern border, and

515
00:29:07,360 --> 00:29:10,200
Speaker 6: that was achieved, of course, in record time, into an

516
00:29:10,280 --> 00:29:15,960
Speaker 6: unprecedented degree. Then the focus increasingly shifts towards mobilizing the

517
00:29:16,040 --> 00:29:19,160
Speaker 6: law enforcement resources that we need to expel those that

518
00:29:19,240 --> 00:29:22,320
Speaker 6: are here illegally who need to go home. The biggest

519
00:29:22,440 --> 00:29:24,480
Speaker 6: near term impediment to that goal, of course, are the

520
00:29:24,520 --> 00:29:28,880
Speaker 6: courts and these radical leftist judges that are trying to

521
00:29:28,920 --> 00:29:33,920
Speaker 6: shut down the machinery of immigration enforcement nationwide. So we

522
00:29:33,960 --> 00:29:36,600
Speaker 6: are so Department Justice is pursuing a legal strategy with

523
00:29:36,680 --> 00:29:40,080
Speaker 6: the hope that very soon the Supreme Court will swat

524
00:29:40,120 --> 00:29:42,240
Speaker 6: away these injunctions so that we can get to the

525
00:29:42,240 --> 00:29:45,840
Speaker 6: business of securing the American homeland in full force. If

526
00:29:45,880 --> 00:29:48,760
Speaker 6: the Supreme Court doesn't provide that relief, there are many

527
00:29:48,800 --> 00:29:51,840
Speaker 6: other options that I will not get into here and

528
00:29:52,200 --> 00:29:55,680
Speaker 6: what the president's inherent authorities and powers are. So it

529
00:29:55,760 --> 00:29:58,240
Speaker 6: isn't we're only waiting on the Supreme Court. It is

530
00:29:58,280 --> 00:30:00,320
Speaker 6: the Supreme Court hopefully do the right thing, or we

531
00:30:00,320 --> 00:30:02,560
Speaker 6: have many other options our disposal. At the same time,

532
00:30:02,600 --> 00:30:06,400
Speaker 6: we're ramping up many other efforts build the essential to

533
00:30:06,520 --> 00:30:10,560
Speaker 6: achieving that deportation. So that includes, for example, enrolling state

534
00:30:10,640 --> 00:30:14,840
Speaker 6: and local law enforcement nationwide in assisting in supporting the

535
00:30:14,840 --> 00:30:17,280
Speaker 6: deportation effort, and that's going to be an increasing feature

536
00:30:17,280 --> 00:30:19,400
Speaker 6: and focus of what we're doing. We're going to get

537
00:30:19,520 --> 00:30:23,720
Speaker 6: National Guard more engaged in putting them into immigration enforcement

538
00:30:23,800 --> 00:30:27,480
Speaker 6: roles in a domestic law enforcement setting, which is allowable

539
00:30:27,960 --> 00:30:30,320
Speaker 6: under the two pity seven G program that's user set

540
00:30:30,360 --> 00:30:32,760
Speaker 6: on local law enforcement as well. And we're going to

541
00:30:32,840 --> 00:30:35,720
Speaker 6: also be working as we are right now with Congress

542
00:30:35,920 --> 00:30:41,200
Speaker 6: to pass legislation, the Reconciliation Bill that will more than

543
00:30:41,320 --> 00:30:45,240
Speaker 6: double the number of deportation officers working in the federal government,

544
00:30:45,640 --> 00:30:48,720
Speaker 6: more than double the number of deportation beds avaisible to

545
00:30:48,760 --> 00:30:51,280
Speaker 6: the federal government, and increased by leaps and bounds the

546
00:30:51,360 --> 00:30:53,800
Speaker 6: number of deportation flights that are available to the federal government.

547
00:30:53,840 --> 00:30:56,640
Speaker 6: So the Reconciliation Bill is also going to be essential

548
00:30:56,680 --> 00:30:59,840
Speaker 6: in allowing Immigration and Customs enforcement to do their job.

549
00:31:00,040 --> 00:31:02,520
Speaker 6: We have a whole series of strategies as well to

550
00:31:02,600 --> 00:31:05,920
Speaker 6: expand self deportation. I think you've already seen a lot

551
00:31:05,920 --> 00:31:07,960
Speaker 6: of self deportation from this country based on all the

552
00:31:08,000 --> 00:31:10,200
Speaker 6: reports that we've gotten. We're going to putting that into

553
00:31:10,240 --> 00:31:12,479
Speaker 6: hyperdrive as well too, and many more strategies that we'll

554
00:31:12,480 --> 00:31:15,280
Speaker 6: talk about next time. But as all this come online

555
00:31:15,400 --> 00:31:17,840
Speaker 6: it gets put into effect, you are going to see

556
00:31:17,880 --> 00:31:20,160
Speaker 6: the removal numbers begin to explode.

557
00:31:20,880 --> 00:31:21,480
Speaker 2: Fantastic.

558
00:31:21,520 --> 00:31:24,080
Speaker 1: Steven Miller from the White House, thanks so much. We

559
00:31:24,120 --> 00:31:25,200
Speaker 1: appreciate you being with us.

560
00:31:25,560 --> 00:31:25,920
Speaker 6: Thank you.

561
00:31:27,320 --> 00:31:30,240
Speaker 1: Protecting yourself and your family at home is job number

562
00:31:30,240 --> 00:31:31,680
Speaker 1: one for all of us. But you need the right

563
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564
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565
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566
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Speaker 1: on the model, fires off a peppergel projectile that's targeted.

567
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Speaker 1: It goes a longer distance than you think, making it

568
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Speaker 1: very effective at deterring an intruder. This is the best

569
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Speaker 1: available on the market for pepper launcher. I'm telling you

570
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Speaker 1: these are fantastic. Clay and I have both trained with them.

571
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572
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Speaker 1: for you for your home. Go to saberradio dot com

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575
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576
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577
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578
00:32:21,720 --> 00:32:26,160
Speaker 1: Safe Stories are freedom stories of America.

579
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Speaker 2: Inspirational stories that you unite us all each day.

580
00:32:29,800 --> 00:32:33,360
Speaker 5: Spend time with Clay and find.

581
00:32:32,520 --> 00:32:35,840
Speaker 1: Them on the free iHeartRadio app or wherever you get

582
00:32:35,880 --> 00:32:36,760
Speaker 1: your podcasts.

583
00:32:36,800 --> 00:32:39,360
Speaker 2: We bring in now our friend from Fox News, Joe Kanca.

584
00:32:39,720 --> 00:32:44,120
Speaker 2: Who is Joe? Are you a Knicks fan? I am not.

585
00:32:45,000 --> 00:32:47,720
Speaker 1: Oh that's a shame, because Buck grew up a Knicks fan,

586
00:32:47,760 --> 00:32:49,360
Speaker 1: and I was going to give you a little bit

587
00:32:49,400 --> 00:32:53,200
Speaker 1: of praise because the Knicks finally won a playoff series

588
00:32:53,320 --> 00:32:55,880
Speaker 1: last night, and they did so in exciting fashion Jay

589
00:32:55,960 --> 00:32:59,920
Speaker 1: one Buck Brunson Crossover, draining a three, and so I

590
00:33:00,080 --> 00:33:01,760
Speaker 1: thought maybe you were a Knicks fan too.

591
00:33:01,800 --> 00:33:02,560
Speaker 2: Well, we'll skip that.

592
00:33:02,640 --> 00:33:05,720
Speaker 1: It is a big week for you, however, because you've

593
00:33:05,760 --> 00:33:08,400
Speaker 1: got a brand new book out and it's about Trump's

594
00:33:08,480 --> 00:33:13,400
Speaker 1: greatest political comeback ever. And I know that it's been

595
00:33:13,480 --> 00:33:18,360
Speaker 1: six months ish since the election day itself, but it's

596
00:33:18,400 --> 00:33:22,560
Speaker 1: still kind of remarkable history, I think. And you're writing

597
00:33:22,600 --> 00:33:25,360
Speaker 1: a version of history with this first kind of draft

598
00:33:25,400 --> 00:33:28,520
Speaker 1: of history because it's still so current. History's going to

599
00:33:28,560 --> 00:33:30,120
Speaker 1: have a hell of a story to tell in the

600
00:33:30,120 --> 00:33:32,640
Speaker 1: twenty twenty four election for a long time to come.

601
00:33:33,240 --> 00:33:35,600
Speaker 1: I think it was the craziest time we've ever seen

602
00:33:35,640 --> 00:33:39,560
Speaker 1: guys in any campaign ever. I mean, there's one point,

603
00:33:39,640 --> 00:33:42,960
Speaker 1: Clay Buck June twenty seventh, twenty twenty four, that debate

604
00:33:43,040 --> 00:33:45,560
Speaker 1: in Atlanta. I was there at Georgia Tech, and we

605
00:33:45,640 --> 00:33:48,360
Speaker 1: all saw Joe Biden's brain turned applesauce.

606
00:33:48,520 --> 00:33:49,360
Speaker 2: The media was shocked.

607
00:33:49,360 --> 00:33:51,760
Speaker 1: Democrats for shocks, you guys have been talking about his

608
00:33:51,920 --> 00:33:54,080
Speaker 1: cognitive decline on this show for many years. I have

609
00:33:54,440 --> 00:33:56,600
Speaker 1: as well, so it wasn't a surprise to us. But

610
00:33:56,640 --> 00:34:00,200
Speaker 1: then think about what happens after that. July eleventh, Joe

611
00:34:00,240 --> 00:34:02,360
Speaker 1: Biden says that we need to put Trump in a

612
00:34:02,360 --> 00:34:06,440
Speaker 1: bullseye unquote right. And then two days later Butler, Pennsylvania,

613
00:34:06,920 --> 00:34:09,879
Speaker 1: somehow a twenty year old kid is able to hide

614
00:34:09,920 --> 00:34:12,840
Speaker 1: a high powered rifle next to the one building that

615
00:34:12,920 --> 00:34:16,520
Speaker 1: has perfect line of sight to Donald Trump. He's then

616
00:34:16,600 --> 00:34:19,240
Speaker 1: able to get up on the building because nobody decided

617
00:34:19,280 --> 00:34:21,759
Speaker 1: to secure it. They had some personnel inside of it,

618
00:34:21,800 --> 00:34:24,120
Speaker 1: which does nothing. But there that kid is right up

619
00:34:24,360 --> 00:34:27,000
Speaker 1: on the building. And if Donald Trump doesn't turn his

620
00:34:27,040 --> 00:34:29,000
Speaker 1: head hard to the right to read a chart that

621
00:34:29,000 --> 00:34:31,000
Speaker 1: he had never read before in a rally, then we're

622
00:34:31,000 --> 00:34:33,960
Speaker 1: having a much different conversation right now. And then July fifteenth,

623
00:34:34,040 --> 00:34:35,680
Speaker 1: there he is at the RNC with a big bandage

624
00:34:35,719 --> 00:34:37,360
Speaker 1: on his ear. He chooses JD Vance, which not a

625
00:34:37,400 --> 00:34:40,320
Speaker 1: lot of people expected. Six days later, Joe Biden drops

626
00:34:40,320 --> 00:34:42,239
Speaker 1: out of the race, and a day or two later,

627
00:34:42,320 --> 00:34:46,000
Speaker 1: pretty much the Democratic Party consolidated around Kamala Harris. So

628
00:34:46,000 --> 00:34:49,120
Speaker 1: if you just look at that twenty four day stretch alone.

629
00:34:49,320 --> 00:34:52,400
Speaker 1: It's never going to get any nutier than that. And

630
00:34:52,520 --> 00:34:56,280
Speaker 1: yet they thought Kamala Harris was going to be able

631
00:34:56,800 --> 00:34:58,440
Speaker 1: to pull this out at the last second.

632
00:34:58,440 --> 00:34:59,880
Speaker 2: I mean, I remember there. Do you remember?

633
00:35:00,800 --> 00:35:02,360
Speaker 1: I know you do because you wrote the book about it,

634
00:35:02,400 --> 00:35:04,200
Speaker 1: and also you're Joe and you cover this too. But

635
00:35:05,520 --> 00:35:07,680
Speaker 1: when they had that, I think it was about two

636
00:35:07,719 --> 00:35:11,359
Speaker 1: weeks maybe in August or all of a sudden it was, oh,

637
00:35:11,400 --> 00:35:15,000
Speaker 1: look at Kamala's numbers, She's the greatest. And I got nervous,

638
00:35:15,239 --> 00:35:18,160
Speaker 1: Box stayed strong. I was a little bit nervous, I'll

639
00:35:18,200 --> 00:35:20,799
Speaker 1: be honest. I actually that was when I made the

640
00:35:20,800 --> 00:35:23,359
Speaker 1: call that Trump would win by more than he beat

641
00:35:23,719 --> 00:35:27,360
Speaker 1: Hillary by, which in August of twenty twenty four felt

642
00:35:27,360 --> 00:35:29,480
Speaker 1: like a little bit of a little bit of a

643
00:35:29,680 --> 00:35:31,680
Speaker 1: crazy thing to say. But now, of course, looks great

644
00:35:31,680 --> 00:35:33,800
Speaker 1: in retrospect. But do you think any of them actually

645
00:35:33,880 --> 00:35:36,440
Speaker 1: believed it, Joe when it came to Kamala, or did

646
00:35:36,440 --> 00:35:38,080
Speaker 1: they just have no choice and they knew it? It

647
00:35:38,160 --> 00:35:40,440
Speaker 1: was like Hope casting right, And it was a mirage

648
00:35:40,480 --> 00:35:43,319
Speaker 1: because she was doing these rallies and you saw the

649
00:35:43,320 --> 00:35:46,239
Speaker 1: big crowds and the enthusiasm and Brat's summer and she's

650
00:35:46,239 --> 00:35:49,920
Speaker 1: bringing joy back to the campaign. But she wasn't doing

651
00:35:49,960 --> 00:35:52,920
Speaker 1: any interviews during that time. Remember July twenty third or so,

652
00:35:52,960 --> 00:35:54,839
Speaker 1: she became the nominee in essence, and then she didn't

653
00:35:54,880 --> 00:35:57,279
Speaker 1: do an interview until September, Like they wouldn't even let

654
00:35:57,320 --> 00:36:00,680
Speaker 1: her go on the View or MSNBC. So she was,

655
00:36:00,840 --> 00:36:03,440
Speaker 1: you know, the prompter candidate and read the same speeches

656
00:36:03,480 --> 00:36:05,200
Speaker 1: over and over again and talked about how she worked

657
00:36:05,200 --> 00:36:08,000
Speaker 1: at a McDonald's, which of course never happened. What I

658
00:36:08,080 --> 00:36:10,719
Speaker 1: knew that Trump was gonna win was the teamsters had

659
00:36:10,719 --> 00:36:13,879
Speaker 1: these internal polls that they put out, and one when

660
00:36:13,920 --> 00:36:16,440
Speaker 1: he was up against Joe Biden, that being Trump, Biden's

661
00:36:16,520 --> 00:36:18,680
Speaker 1: up by ten points because he's always portrayed himself as

662
00:36:18,680 --> 00:36:22,000
Speaker 1: a very pro union guy. Kamala then gets installed Soviet

663
00:36:22,040 --> 00:36:24,560
Speaker 1: style and they do another poll among the rank and

664
00:36:24,600 --> 00:36:27,479
Speaker 1: file teamsters and Trump is up by thirty. You're like, wow,

665
00:36:27,560 --> 00:36:30,840
Speaker 1: that's a forty point friggin swing. And then Trump's gaining

666
00:36:30,840 --> 00:36:33,840
Speaker 1: Black vote and he's gaining Latino votes, and you're thinking,

667
00:36:34,000 --> 00:36:36,160
Speaker 1: who's left to vote for Kamala Harris exactly.

668
00:36:36,200 --> 00:36:37,920
Speaker 2: I mean the childless cat ladies. I mean that was

669
00:36:37,960 --> 00:36:42,399
Speaker 2: basically all that was left over, Joe. There's so many

670
00:36:42,440 --> 00:36:43,160
Speaker 2: different angles.

671
00:36:43,160 --> 00:36:45,120
Speaker 1: And I got your book, and I appreciate you you

672
00:36:45,160 --> 00:36:48,040
Speaker 1: sending it out, and I'm looking forward to checking it

673
00:36:48,080 --> 00:36:52,480
Speaker 1: out in general. But this thing of suddenly pivoting and

674
00:36:52,520 --> 00:36:56,680
Speaker 1: going after people that they claimed were phenomenal. I don't

675
00:36:56,680 --> 00:36:59,719
Speaker 1: know if you've seen this today, but New York Magazine

676
00:37:00,040 --> 00:37:03,359
Speaker 1: as a huge cover story where they say, and I'm

677
00:37:03,400 --> 00:37:06,040
Speaker 1: reading from the teas from New York Magazine, it's about

678
00:37:06,080 --> 00:37:10,560
Speaker 1: John Fetterman, Pennsylvania Center senator. Former current staffers paint a

679
00:37:10,560 --> 00:37:13,920
Speaker 1: picture of an erratic senator who's become almost impossible to

680
00:37:13,960 --> 00:37:17,800
Speaker 1: work for and whose mental health situation is more serious

681
00:37:17,920 --> 00:37:22,799
Speaker 1: and complicated than previously reported. It's become harder to tell

682
00:37:22,840 --> 00:37:25,920
Speaker 1: whether or not he can even do the job. And

683
00:37:26,000 --> 00:37:29,280
Speaker 1: it ends with they worry he may present a danger

684
00:37:29,360 --> 00:37:33,480
Speaker 1: to the Democrat Party and maybe even to himself if

685
00:37:33,520 --> 00:37:38,200
Speaker 1: he's not pro Israel. Is this story ever written, in

686
00:37:38,320 --> 00:37:40,200
Speaker 1: your opinion, Joe, if he didn't go to mar A

687
00:37:40,280 --> 00:37:42,240
Speaker 1: Lago to meet with Trump? Would it be ever written

688
00:37:42,719 --> 00:37:45,400
Speaker 1: if you didn't say that we need much stronger border security,

689
00:37:45,440 --> 00:37:48,000
Speaker 1: like things that Democrats have a real problem saying yeah,

690
00:37:48,080 --> 00:37:51,480
Speaker 1: all these things. If I'm John Fetterman, I say Democratic Party,

691
00:37:51,560 --> 00:37:54,359
Speaker 1: screw all right, I'm out. I'll go caucus with Republicans. Now,

692
00:37:54,480 --> 00:37:55,960
Speaker 1: if you don't want me, that's fine, because this was

693
00:37:56,120 --> 00:37:59,799
Speaker 1: clearly a plant. And the fact that everybody cheered on

694
00:38:00,280 --> 00:38:02,279
Speaker 1: Fetterman in twenty twenty two when he ran against doctor

695
00:38:02,320 --> 00:38:04,960
Speaker 1: Oz from the Pennsylvania Senate seat while he literally needed

696
00:38:05,000 --> 00:38:07,279
Speaker 1: like close captioning in order to like do interviews. He

697
00:38:07,280 --> 00:38:10,560
Speaker 1: couldn't do small talk. Oh no, that's ableism. You guys

698
00:38:10,560 --> 00:38:12,320
Speaker 1: can't attack him from because he had a heart attack.

699
00:38:12,360 --> 00:38:13,839
Speaker 1: And now, of course they're trying to drive him out

700
00:38:13,880 --> 00:38:16,120
Speaker 1: because he's the one Democrat that I could see at

701
00:38:16,120 --> 00:38:18,560
Speaker 1: this point that is making common sense arguments, and that's

702
00:38:18,600 --> 00:38:21,000
Speaker 1: a big no no in the Party of Crazy. We're

703
00:38:21,000 --> 00:38:23,960
Speaker 1: speaking of Joe Kanca Fox News and of course his

704
00:38:24,000 --> 00:38:27,440
Speaker 1: book out this week, the Greatest comeback Ever Inside Trump's

705
00:38:27,480 --> 00:38:31,080
Speaker 1: Big Beautiful Campaign, probably the biggest, the most beautiful of

706
00:38:31,160 --> 00:38:32,480
Speaker 1: all campaigns all time.

707
00:38:33,480 --> 00:38:37,040
Speaker 2: And Joe, what happens now? You know, I know.

708
00:38:36,960 --> 00:38:39,439
Speaker 1: You've covered the media a lot. You're you're a media

709
00:38:39,440 --> 00:38:42,200
Speaker 1: guy who covers media. You covered them for many years.

710
00:38:42,640 --> 00:38:46,640
Speaker 1: And for example, we have discussed on this show that

711
00:38:46,640 --> 00:38:48,640
Speaker 1: there's another book that will be coming out next month,

712
00:38:48,680 --> 00:38:50,120
Speaker 1: which we don't have to give the title of, not

713
00:38:50,160 --> 00:38:52,839
Speaker 1: that we didn't even know the title, but where Jake

714
00:38:52,880 --> 00:38:57,480
Speaker 1: Tapper of CNN has teamed up with Axios reporter or

715
00:38:57,480 --> 00:39:01,759
Speaker 1: political alex to Yeah to write a book about the

716
00:39:01,840 --> 00:39:06,960
Speaker 1: Biden dementia cover up. What is the possible rationale to

717
00:39:07,120 --> 00:39:11,320
Speaker 1: be in the Democrat aligned media and writing a book

718
00:39:11,480 --> 00:39:14,520
Speaker 1: now about the Biden dementia cover up?

719
00:39:14,920 --> 00:39:16,439
Speaker 2: If you weren't walking.

720
00:39:16,120 --> 00:39:20,360
Speaker 1: Around wearing a bright orange T shirt saying guys, our

721
00:39:20,480 --> 00:39:24,080
Speaker 1: man has dementia. He can't be president anymore when it mattered, like,

722
00:39:24,239 --> 00:39:25,560
Speaker 1: what's the game plan here?

723
00:39:25,680 --> 00:39:29,160
Speaker 2: The game plan is three letters buck c why A.

724
00:39:29,560 --> 00:39:32,200
Speaker 1: They're going to pretend that they actually were covering this

725
00:39:32,280 --> 00:39:34,680
Speaker 1: and covering it in a tough way. You could probably

726
00:39:34,680 --> 00:39:37,400
Speaker 1: find the SoundBite. It's from twenty twenty. Laura Trump is

727
00:39:37,440 --> 00:39:39,840
Speaker 1: on CNN with Jake Tapper and she says that she

728
00:39:39,920 --> 00:39:43,080
Speaker 1: believes that Joe Biden is going through a cognitive decline,

729
00:39:43,080 --> 00:39:46,279
Speaker 1: which was obvious even during that campaign, and Tapper just

730
00:39:46,320 --> 00:39:49,319
Speaker 1: scolds her, says, no, it's a stutter, Oh, you don't

731
00:39:49,360 --> 00:39:52,120
Speaker 1: have any proof of that. We don't like conspiracy theories

732
00:39:52,160 --> 00:39:54,319
Speaker 1: on this network. And you're like, oh boy, so you

733
00:39:54,320 --> 00:39:56,760
Speaker 1: know pain is temporary but film is forever. So please,

734
00:39:56,880 --> 00:39:59,000
Speaker 1: but let's play that clip as much as possible on

735
00:39:59,040 --> 00:40:01,720
Speaker 1: this show, because for Jake Tapper now to turn around

736
00:40:02,000 --> 00:40:04,560
Speaker 1: and then talk about how the media missed the story

737
00:40:04,600 --> 00:40:07,680
Speaker 1: about Joe Biden's cognitive decline. Alex Thompson, who wrote this

738
00:40:07,760 --> 00:40:10,439
Speaker 1: with him, kept saying this at the White House Correspondents Center,

739
00:40:10,480 --> 00:40:13,840
Speaker 1: that reporters missed the story, that they were deceived by

740
00:40:13,880 --> 00:40:14,399
Speaker 1: the White House.

741
00:40:14,440 --> 00:40:15,840
Speaker 2: No, there's no story to miss.

742
00:40:15,880 --> 00:40:19,399
Speaker 1: If you had eyes, ears, sobriety and sanity, you could

743
00:40:19,400 --> 00:40:21,920
Speaker 1: see Joe Biden shaking hands with the air after he

744
00:40:22,000 --> 00:40:23,640
Speaker 1: finished his speech. You could see you to know how

745
00:40:23,640 --> 00:40:25,680
Speaker 1: to get off a stage after doing it for fifty years.

746
00:40:25,760 --> 00:40:27,600
Speaker 1: You could see he's like the kid from the Sixth Sense,

747
00:40:27,760 --> 00:40:31,120
Speaker 1: having conversations with dead people, in this case, like dead leaders.

748
00:40:31,840 --> 00:40:34,160
Speaker 1: You don't need to be told by a White House

749
00:40:34,200 --> 00:40:36,680
Speaker 1: source that Joe Biden's having problems. You just needed to

750
00:40:36,760 --> 00:40:39,759
Speaker 1: observe him five minutes outside of a teleprompter where he

751
00:40:39,880 --> 00:40:43,319
Speaker 1: was a human Chernobyl when speaking outside of one, Where

752
00:40:43,320 --> 00:40:46,640
Speaker 1: did Democrats go from here? You're writing the book about

753
00:40:46,640 --> 00:40:49,239
Speaker 1: the greatest political comeback? To be fair, if you had

754
00:40:49,280 --> 00:40:52,960
Speaker 1: been on with us in May of twenty twenty one

755
00:40:53,080 --> 00:40:55,319
Speaker 1: and you had said, hey, guys, Trump's going to win

756
00:40:55,320 --> 00:40:58,000
Speaker 1: a landslide victory in November twenty twenty four, I don't

757
00:40:58,040 --> 00:41:00,000
Speaker 1: think it's going to be close. A lot of people

758
00:41:00,000 --> 00:41:02,680
Speaker 1: I would have said, that's a bold prediction. I wouldn't

759
00:41:02,680 --> 00:41:03,680
Speaker 1: have bought onto it.

760
00:41:03,760 --> 00:41:03,960
Speaker 2: Then.

761
00:41:04,239 --> 00:41:07,400
Speaker 1: Obviously we're now in May of twenty twenty five. It

762
00:41:07,440 --> 00:41:10,520
Speaker 1: doesn't feel like Democrats have any future at all.

763
00:41:10,800 --> 00:41:11,880
Speaker 2: Bluck. I don't know if you've seen this.

764
00:41:12,000 --> 00:41:15,720
Speaker 1: CBS News has a big expose up about Kamala Harris.

765
00:41:15,960 --> 00:41:18,239
Speaker 1: They say she's not sure what she's gonna do, but

766
00:41:18,400 --> 00:41:21,359
Speaker 1: she her options are she may do nothing at all,

767
00:41:21,719 --> 00:41:24,360
Speaker 1: she may run for governor, or she may run for president.

768
00:41:24,440 --> 00:41:27,440
Speaker 1: So they have an entire feature where they say she

769
00:41:27,600 --> 00:41:31,719
Speaker 1: could do anything. Where does Kamala go from here? She's

770
00:41:31,760 --> 00:41:35,080
Speaker 1: the defeated candidate. It's May twenty twenty five. Is her

771
00:41:35,120 --> 00:41:38,600
Speaker 1: career over or not? And who are the Democrats? Do

772
00:41:38,640 --> 00:41:39,400
Speaker 1: you buy Stephen A.

773
00:41:39,520 --> 00:41:39,840
Speaker 2: Smith?

774
00:41:40,000 --> 00:41:43,320
Speaker 1: Do you think there's any outsiders? Who are the Democrats

775
00:41:43,400 --> 00:41:45,239
Speaker 1: that might emerge as we get closer to.

776
00:41:45,200 --> 00:41:45,839
Speaker 2: Twenty twenty eight.

777
00:41:46,000 --> 00:41:48,160
Speaker 1: Okay, Clay, So if we're going to apply logic here,

778
00:41:48,440 --> 00:41:53,240
Speaker 1: then Democrats would be wise to nominate Andy Vasheer, Kentucky governor.

779
00:41:53,320 --> 00:41:55,880
Speaker 1: I know he's a bit vanilla. I know he's boring,

780
00:41:55,880 --> 00:41:58,840
Speaker 1: and you need to have a performative aspect to every campaign.

781
00:41:58,840 --> 00:42:01,360
Speaker 1: We saw with Obama, we saw with Trump. If Biden

782
00:42:01,400 --> 00:42:03,360
Speaker 1: doesn't count because that was COVID and that that was

783
00:42:03,400 --> 00:42:05,760
Speaker 1: like the bubble year when the Lakers won the championship.

784
00:42:05,800 --> 00:42:08,040
Speaker 1: I can't even count that, right, That wasn't a normal thing.

785
00:42:08,680 --> 00:42:10,680
Speaker 1: Let me let me pause here for a sec. Andy

786
00:42:10,719 --> 00:42:15,239
Speaker 1: Basher is the biggest pussy Willow on the planet. I

787
00:42:15,360 --> 00:42:20,080
Speaker 1: want I have to add Willow. I hope they nominate him.

788
00:42:20,440 --> 00:42:24,960
Speaker 1: He is the most milk toast, complete loser with no

789
00:42:25,120 --> 00:42:29,319
Speaker 1: spine whatsoever. He would get obliterated, but he might be

790
00:42:29,360 --> 00:42:31,680
Speaker 1: their pick. Sorry, I just have to put that in there.

791
00:42:32,000 --> 00:42:33,640
Speaker 1: This guy, I hate to say it because he went

792
00:42:33,680 --> 00:42:36,120
Speaker 1: to Vanderbilt or both the ms on the same school,

793
00:42:36,480 --> 00:42:38,560
Speaker 1: but he's a total loser with no spot.

794
00:42:38,719 --> 00:42:38,919
Speaker 2: Wow.

795
00:42:39,040 --> 00:42:41,040
Speaker 1: Okay, I wanted to go pussy Willow, but I wasn't

796
00:42:41,040 --> 00:42:42,719
Speaker 1: sure if the SEC would have like a problem with that.

797
00:42:42,760 --> 00:42:44,239
Speaker 1: So you have to add the willow. The will is

798
00:42:44,239 --> 00:42:47,080
Speaker 1: the whole thing. Yeah, no, I totally agree blank willow.

799
00:42:47,120 --> 00:42:49,400
Speaker 1: That was from the Howard Stern movie Let's See So.

800
00:42:49,920 --> 00:42:53,640
Speaker 1: But but my my mild retort would be that he

801
00:42:53,680 --> 00:42:55,680
Speaker 1: is at sixty eight percent approval in a red state

802
00:42:55,719 --> 00:43:00,799
Speaker 1: like Kentucky. So I don't believe it. I don't believe Okay, yeah, good,

803
00:43:00,880 --> 00:43:03,240
Speaker 1: I liked. I like when Tennessee sticks up for Kentucky

804
00:43:03,239 --> 00:43:05,760
Speaker 1: on this one. Clay is like, you know what, I'm naughty.

805
00:43:05,800 --> 00:43:07,839
Speaker 1: I'm not gonna throw Kentucky under the bus and believe

806
00:43:07,880 --> 00:43:10,120
Speaker 1: it's seventy percent of them actually like their governor. Yes,

807
00:43:10,400 --> 00:43:13,319
Speaker 1: that's great, but you're right about twenty twenty one. I

808
00:43:13,320 --> 00:43:15,439
Speaker 1: never would have predicted that Trump would be sitting where

809
00:43:15,480 --> 00:43:18,280
Speaker 1: he is today. I was on board with Ron DeSantis.

810
00:43:18,280 --> 00:43:20,319
Speaker 1: I was publicly on board with Ron DeSantis. I thought

811
00:43:20,320 --> 00:43:22,920
Speaker 1: that he was Trump without the baggage, without the ninety

812
00:43:22,920 --> 00:43:26,040
Speaker 1: four felony accounts, without not a hostile media, but not

813
00:43:26,080 --> 00:43:28,280
Speaker 1: as hostile and media. But it probably would have happened anyway.

814
00:43:28,680 --> 00:43:30,719
Speaker 1: But the way he was running Florida he wins by

815
00:43:30,719 --> 00:43:32,879
Speaker 1: eighteen points in twenty twenty two, and I go down

816
00:43:32,920 --> 00:43:35,120
Speaker 1: there to do a speech. It was in Naples, Florida,

817
00:43:35,160 --> 00:43:37,000
Speaker 1: and there's maybe two two hundred and fifty people there,

818
00:43:37,000 --> 00:43:38,440
Speaker 1: and I did a stroll poll, like who would you

819
00:43:38,840 --> 00:43:40,560
Speaker 1: like to be the nominee on the Republican side? And

820
00:43:40,600 --> 00:43:42,680
Speaker 1: I thought that DeSantis would get half the votes because

821
00:43:42,719 --> 00:43:45,280
Speaker 1: he just did so well in that election. And DeSantis

822
00:43:45,320 --> 00:43:47,720
Speaker 1: maybe got ten percent. Nicki Haley got like one percent,

823
00:43:47,760 --> 00:43:49,839
Speaker 1: and the other ninety basically went to Donald Trump. I'm

824
00:43:49,880 --> 00:43:52,239
Speaker 1: a boy, no one's going anywhere. They are loyal to

825
00:43:52,280 --> 00:43:54,040
Speaker 1: this man. And that's when I started to change my

826
00:43:54,160 --> 00:43:57,239
Speaker 1: mind about Trump. As for kamal Or, her career is over.

827
00:43:57,480 --> 00:43:59,640
Speaker 1: I don't even think she could win in California. You

828
00:43:59,680 --> 00:44:02,200
Speaker 1: remember in twenty nineteen when she ran for president, she

829
00:44:02,320 --> 00:44:05,240
Speaker 1: dropped out before the California primary because she was pulling

830
00:44:05,320 --> 00:44:08,520
Speaker 1: at sixth place in California, her own state, behind Andrew

831
00:44:08,560 --> 00:44:09,240
Speaker 1: friggin Yang.

832
00:44:09,480 --> 00:44:10,680
Speaker 2: I mean, so, I don't know.

833
00:44:11,400 --> 00:44:13,479
Speaker 1: After this election, I think a lot of people saw

834
00:44:13,520 --> 00:44:15,920
Speaker 1: that she's all foam and no beer, all bubbles and

835
00:44:15,920 --> 00:44:18,560
Speaker 1: no bath. And this is somebody that if they nominate her,

836
00:44:19,040 --> 00:44:21,440
Speaker 1: they could lose fifty one states, which is mathematically impossible,

837
00:44:21,480 --> 00:44:22,840
Speaker 1: but I think it would be that bad. Then the

838
00:44:22,880 --> 00:44:26,080
Speaker 1: other alternative is AOC, which she has the energy. I

839
00:44:26,080 --> 00:44:28,359
Speaker 1: guess she has a social media following. She has never

840
00:44:28,360 --> 00:44:31,800
Speaker 1: passed one piece of legislation since she's been in Congress. Sure,

841
00:44:31,960 --> 00:44:33,680
Speaker 1: but that doesn't matter, I guess in this world. So

842
00:44:34,040 --> 00:44:36,480
Speaker 1: I could see AOC. But then again, she could really

843
00:44:36,520 --> 00:44:40,400
Speaker 1: win Pennsylvania, Wisconsin, Michigan, Georgia, North Carolina, Arizona, Nevada. I

844
00:44:40,400 --> 00:44:42,480
Speaker 1: can't see her doing well in those states. So I

845
00:44:42,520 --> 00:44:45,040
Speaker 1: don't know where democrats go here. It's probably someone we're

846
00:44:45,040 --> 00:44:46,880
Speaker 1: not even talking about, like a Mark Cuban or somebody

847
00:44:46,920 --> 00:44:50,640
Speaker 1: like that. God forbid, Joe, go get the book. We

848
00:44:50,719 --> 00:44:52,800
Speaker 1: encourage everybody to check it out. Give us the title

849
00:44:52,800 --> 00:44:55,120
Speaker 1: one more time for people as they roll into the weekend. Okay,

850
00:44:55,120 --> 00:44:57,000
Speaker 1: I will give you the title that I wanted, all right,

851
00:44:57,160 --> 00:45:00,399
Speaker 1: the greatest comeback ever. Inside Trump's big beautiful cam pain

852
00:45:00,760 --> 00:45:02,840
Speaker 1: unburdened by what has been. But they said I couldn't

853
00:45:02,840 --> 00:45:04,319
Speaker 1: put the lastart on because there wasn't enough real state

854
00:45:04,360 --> 00:45:05,799
Speaker 1: on the cover, So go figure. So yeah, the greatest

855
00:45:05,800 --> 00:45:09,920
Speaker 1: comeback ever. Thank you, guys. It's a bestseller. Awesome Joe Kanca.

856
00:45:09,960 --> 00:45:11,560
Speaker 1: You'll see them on Fox News. You can find them

857
00:45:11,560 --> 00:45:13,919
Speaker 1: in your bookstores. Best comeback to ever, Go check it out.

858
00:45:14,000 --> 00:45:18,360
Speaker 1: I want to tell you it is not Mother's Day yet, Okay,

859
00:45:18,400 --> 00:45:20,680
Speaker 1: so I don't want all the men out there to panic.

860
00:45:21,440 --> 00:45:23,160
Speaker 2: But next weekend is Mother's Day.

861
00:45:23,280 --> 00:45:25,319
Speaker 1: So maybe you do need to panic because you only

862
00:45:25,360 --> 00:45:27,480
Speaker 1: have what is the math, nine days? You only have

863
00:45:27,600 --> 00:45:29,040
Speaker 1: nine days to get taken care of.

864
00:45:29,120 --> 00:45:29,719
Speaker 2: May is here.

865
00:45:29,800 --> 00:45:32,719
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890
00:46:50,200 --> 00:46:53,680
Speaker 2: Sometimes all you can do is laugh, and they do

891
00:46:53,800 --> 00:46:57,040
Speaker 2: a lot of it with the Sunday Hang. Join Clay

892
00:46:57,040 --> 00:46:58,800
Speaker 2: and Buck as they laugh.

893
00:46:58,600 --> 00:47:00,920
Speaker 5: It up in the Clay and Buck podcast feed on

894
00:47:00,960 --> 00:47:04,080
Speaker 5: the iHeartRadio app or wherever you get your podcasts.

895
00:47:04,320 --> 00:47:07,360
Speaker 1: Verry honored to bring to you first time on the program.

896
00:47:07,600 --> 00:47:13,560
Speaker 1: Paul Morrow, former NYPD inspector, attorney and founder of opsdesk

897
00:47:13,719 --> 00:47:18,040
Speaker 1: dot org, also formerly my Boss and the chain of

898
00:47:18,040 --> 00:47:21,799
Speaker 1: Command at the NYPD Intelligence Division. Paul, it's going back

899
00:47:21,840 --> 00:47:24,319
Speaker 1: fifteen years now. I'm getting old, my friend. You know,

900
00:47:24,440 --> 00:47:26,120
Speaker 1: I got to think back to these times now, and

901
00:47:26,360 --> 00:47:28,640
Speaker 1: I was I was just a young buck making my

902
00:47:28,680 --> 00:47:29,400
Speaker 1: way in the world.

903
00:47:29,800 --> 00:47:31,840
Speaker 2: And I appreciated your your.

904
00:47:31,719 --> 00:47:35,360
Speaker 1: Steadfast leadership in the Intel Division, always doing a great job.

905
00:47:36,239 --> 00:47:37,920
Speaker 1: So thank you for being here with us. First and

906
00:47:37,960 --> 00:47:40,080
Speaker 1: foremost of.

907
00:47:40,080 --> 00:47:42,960
Speaker 7: Course, thank you for having me. Fuck, you haven't changed.

908
00:47:43,000 --> 00:47:44,719
Speaker 7: I gotta tell you look the same, brother.

909
00:47:45,080 --> 00:47:46,760
Speaker 2: Thank you that that is true.

910
00:47:46,840 --> 00:47:49,960
Speaker 1: I definitely, I definitely do look the same a little more,

911
00:47:50,000 --> 00:47:53,960
Speaker 1: little hair man. Yeah, you know, the hair is still there.

912
00:47:53,960 --> 00:47:56,560
Speaker 1: I'm a lucky man. So you're launching, let's talk about

913
00:47:56,560 --> 00:47:59,400
Speaker 1: this for a second. If you're launching a new weekly

914
00:47:59,440 --> 00:48:04,640
Speaker 1: Fox name show. Karen read Retrial Life. So my wife

915
00:48:04,719 --> 00:48:06,520
Speaker 1: is a little more into the true crime stuff than

916
00:48:06,560 --> 00:48:07,879
Speaker 1: I am, which I don't think I'm the only guy

917
00:48:07,920 --> 00:48:11,400
Speaker 1: in America who's going to say that. But the Karen

918
00:48:11,440 --> 00:48:14,400
Speaker 1: Reid trial. We haven't talked about this on the show.

919
00:48:14,440 --> 00:48:17,640
Speaker 1: Can you tell everybody, like why this has fascinated so

920
00:48:17,760 --> 00:48:20,239
Speaker 1: many people? They're all focused in on this, what's going on?

921
00:48:22,040 --> 00:48:25,960
Speaker 7: So the stories are so divergent and obviously only one

922
00:48:26,040 --> 00:48:29,000
Speaker 7: side can be true, and this is one of those

923
00:48:29,080 --> 00:48:34,560
Speaker 7: things where there are undeniably strong indicators on both sides. Now, look,

924
00:48:34,680 --> 00:48:37,759
Speaker 7: I incline heavily towards the law enforcement side of things.

925
00:48:37,800 --> 00:48:41,440
Speaker 7: The idea that something like five different agencies and well

926
00:48:41,480 --> 00:48:45,040
Speaker 7: into double figures all colluded to try to frame this

927
00:48:45,160 --> 00:48:50,399
Speaker 7: woman I find preposterous. And now apparently that conspiracy has

928
00:48:50,440 --> 00:48:54,160
Speaker 7: grown to include the forensics team that dumped the phone

929
00:48:54,760 --> 00:48:57,840
Speaker 7: of a woman named Jen McCabe, who's the prime witness.

930
00:48:58,000 --> 00:49:01,360
Speaker 7: So that is kind of the beauty of the defense

931
00:49:01,640 --> 00:49:06,320
Speaker 7: of a police conspiracy because everything can come under that rubric,

932
00:49:06,320 --> 00:49:12,080
Speaker 7: and so as the prosecution presents its evidence, the implication

933
00:49:12,239 --> 00:49:14,759
Speaker 7: on the defense side is these people have all been

934
00:49:14,840 --> 00:49:18,360
Speaker 7: co opted into some sort of a police conspiracy. But

935
00:49:19,120 --> 00:49:22,520
Speaker 7: that is something that you only need one juror to entertain.

936
00:49:22,680 --> 00:49:25,400
Speaker 7: For Karen Reid to this time around, she remember she

937
00:49:25,520 --> 00:49:29,000
Speaker 7: was tried once already and the jury hung. You only

938
00:49:29,040 --> 00:49:34,880
Speaker 7: need one to have either beyond a reasonable doubt questions

939
00:49:35,320 --> 00:49:37,239
Speaker 7: to hang the jury, or if you can get all

940
00:49:37,280 --> 00:49:40,320
Speaker 7: twelve to have the reasonable doubt, you have an acquittal.

941
00:49:40,880 --> 00:49:43,200
Speaker 7: So despite the fact that there is some really compelling

942
00:49:43,239 --> 00:49:46,600
Speaker 7: evidence in my mind, and that should likely hold sway

943
00:49:46,680 --> 00:49:48,200
Speaker 7: here there.

944
00:49:48,040 --> 00:49:50,800
Speaker 2: Is this what happened?

945
00:49:51,120 --> 00:49:53,799
Speaker 1: I'm not sure that everybody listening knows just the what

946
00:49:53,840 --> 00:49:56,400
Speaker 1: are the basic facts of the case of this Karen

947
00:49:56,440 --> 00:49:58,720
Speaker 1: Reid trial, because I know in the true crime world

948
00:49:58,760 --> 00:50:02,040
Speaker 1: everyone's watching this. There there's a network I think out

949
00:50:02,040 --> 00:50:02,800
Speaker 1: on this right now.

950
00:50:03,040 --> 00:50:06,920
Speaker 7: What happened several Oh, all right, So she comes back

951
00:50:07,440 --> 00:50:11,400
Speaker 7: from drinking at a bar with her boyfriend. They're not living,

952
00:50:11,480 --> 00:50:14,960
Speaker 7: but they practically live together, et cetera. And they go

953
00:50:15,080 --> 00:50:18,120
Speaker 7: to a house party after they're out at this bar

954
00:50:18,239 --> 00:50:20,160
Speaker 7: with a bunch of people, and they're invited back to

955
00:50:20,200 --> 00:50:22,080
Speaker 7: this house party, and a lot of the same people

956
00:50:22,560 --> 00:50:25,120
Speaker 7: are at the house party as we're at the bar.

957
00:50:25,520 --> 00:50:29,080
Speaker 7: That's where the stories diverge. He claims that he went

958
00:50:29,080 --> 00:50:32,120
Speaker 7: in the house, never to be seen alive again by her,

959
00:50:32,920 --> 00:50:35,759
Speaker 7: and that in the house something happened and he was

960
00:50:35,840 --> 00:50:40,000
Speaker 7: dumped on the lawn to expire from blunt force's trauma

961
00:50:40,040 --> 00:50:46,000
Speaker 7: and hypothermia. On the prosecution side, they say that she

962
00:50:46,360 --> 00:50:48,799
Speaker 7: let him out of the car to go into the house.

963
00:50:48,840 --> 00:50:52,719
Speaker 7: They were having an argument, she reversed into him, hit him,

964
00:50:53,120 --> 00:50:56,040
Speaker 7: He fell backwards, bumped his head on the curb. It

965
00:50:56,160 --> 00:50:58,920
Speaker 7: was the night of a historic blizzard in New England.

966
00:50:58,920 --> 00:51:01,400
Speaker 7: This is all happening in message Choosetts and then she

967
00:51:01,600 --> 00:51:05,480
Speaker 7: leaves the scene. Now that from there, that's the basic

968
00:51:05,520 --> 00:51:07,439
Speaker 7: facts of the two sides of things, and that's where

969
00:51:07,440 --> 00:51:10,760
Speaker 7: the story diverge. And one of the things that emerges

970
00:51:10,800 --> 00:51:13,600
Speaker 7: when you tease it out is, even under the fact

971
00:51:13,600 --> 00:51:17,000
Speaker 7: pattern that the prosecution is a legend, can you get

972
00:51:17,000 --> 00:51:20,200
Speaker 7: to the point that it is an intentional murder? And

973
00:51:21,320 --> 00:51:23,920
Speaker 7: a lot of people feel the question becomes was the

974
00:51:23,920 --> 00:51:24,959
Speaker 7: case overcharged?

975
00:51:25,000 --> 00:51:26,200
Speaker 2: Because she's charged with.

976
00:51:26,200 --> 00:51:30,320
Speaker 7: Murder II intentional murder and then manslaughter and then leaving

977
00:51:30,360 --> 00:51:33,040
Speaker 7: the scene charge. So those are the two sides of things,

978
00:51:33,040 --> 00:51:35,000
Speaker 7: and there are strong indicators on both sides.

979
00:51:35,400 --> 00:51:37,160
Speaker 2: What's the motivation why?

980
00:51:37,239 --> 00:51:39,960
Speaker 1: I mean, she was angry at him, but is this

981
00:51:40,080 --> 00:51:44,600
Speaker 1: a couple that had a history of domestic violence. I'm

982
00:51:44,680 --> 00:51:47,560
Speaker 1: like Buck, I have not followed these cases. Sometimes I

983
00:51:47,600 --> 00:51:49,759
Speaker 1: get super fascinated by them. I bet a lot of

984
00:51:49,800 --> 00:51:51,879
Speaker 1: our audience is very well informed. I bet a lot

985
00:51:51,880 --> 00:51:55,320
Speaker 1: of them also have not been following this. You laid

986
00:51:55,320 --> 00:51:58,280
Speaker 1: out the two different arguments, but what was the motive

987
00:51:58,760 --> 00:52:00,640
Speaker 1: to precipitate the argument?

988
00:52:01,600 --> 00:52:03,799
Speaker 2: In general? What was their relationship?

989
00:52:03,960 --> 00:52:06,120
Speaker 1: Like, why would something like I think most people would say, hey,

990
00:52:06,239 --> 00:52:07,920
Speaker 1: getting in a fight. And I'm also betting there was

991
00:52:07,960 --> 00:52:10,600
Speaker 1: a lot of alcohol involved, which makes it more difficult

992
00:52:10,680 --> 00:52:14,400
Speaker 1: to know anybody who has ever been outside in cold weather,

993
00:52:14,560 --> 00:52:16,600
Speaker 1: that's one of the dangers when you drink is you

994
00:52:16,640 --> 00:52:19,279
Speaker 1: don't feel the cold in the same way. And if

995
00:52:19,320 --> 00:52:22,480
Speaker 1: she's driving and she's been consuming alcohol, that certainly can

996
00:52:22,560 --> 00:52:25,000
Speaker 1: impact things. How would we assess that?

997
00:52:26,880 --> 00:52:29,200
Speaker 7: So certainly they were drinking. The video they pulled from

998
00:52:29,280 --> 00:52:31,040
Speaker 7: the night in the bar and they've been at another

999
00:52:31,080 --> 00:52:34,759
Speaker 7: bar first, has her drinking about nine drinks. They were

1000
00:52:34,800 --> 00:52:36,920
Speaker 7: all drinking a lot, There's no doubt about that. And

1001
00:52:36,920 --> 00:52:40,399
Speaker 7: in fact, she has nine drinks with sidecars in other words,

1002
00:52:40,400 --> 00:52:42,200
Speaker 7: of shit, nine drinks that I've seen her picture.

1003
00:52:42,239 --> 00:52:44,200
Speaker 1: She weighs like one hundred and twenty pounds. I mean,

1004
00:52:44,239 --> 00:52:46,319
Speaker 1: we're not talking about nine drinks for like a three

1005
00:52:46,400 --> 00:52:47,880
Speaker 1: hundred and fifty pound guy.

1006
00:52:49,080 --> 00:52:50,400
Speaker 2: That's right. And then she drives.

1007
00:52:50,400 --> 00:52:52,640
Speaker 7: She's the one who's driving, remember, and all this comes

1008
00:52:52,640 --> 00:52:56,719
Speaker 7: into play because it damages potentially her recollections of what occurred.

1009
00:52:57,440 --> 00:52:59,319
Speaker 2: So they're all banged up.

1010
00:52:59,360 --> 00:53:01,719
Speaker 7: There's no two ways about that. They drive to the

1011
00:53:01,719 --> 00:53:04,799
Speaker 7: house party. She's never been to the house before they

1012
00:53:05,400 --> 00:53:07,760
Speaker 7: get there. Now, look, there's no indisha of any domestic

1013
00:53:07,840 --> 00:53:10,400
Speaker 7: violence in the past, But you raise a really salient

1014
00:53:10,560 --> 00:53:14,799
Speaker 7: question because what is there is after she lets him

1015
00:53:14,800 --> 00:53:18,120
Speaker 7: out of the car under either fact pattern, when they

1016
00:53:18,200 --> 00:53:20,879
Speaker 7: dump his phone, they get voicemails from her to him

1017
00:53:21,360 --> 00:53:23,960
Speaker 7: and she is screaming at him, And there's something like

1018
00:53:24,040 --> 00:53:26,839
Speaker 7: fifty sixty calls from her over the next couple of

1019
00:53:26,840 --> 00:53:29,799
Speaker 7: hours where she is screaming, cursing, adam, yelling at him.

1020
00:53:29,920 --> 00:53:30,880
Speaker 2: He is why that matters.

1021
00:53:30,880 --> 00:53:34,359
Speaker 7: Sure, it indicates that the relationship was praying, they'd only

1022
00:53:34,360 --> 00:53:36,239
Speaker 7: been together a couple of years, etc.

1023
00:53:36,960 --> 00:53:38,319
Speaker 2: But what it.

1024
00:53:38,200 --> 00:53:40,920
Speaker 7: Also indicates to me is that she thought he was alive.

1025
00:53:41,320 --> 00:53:43,840
Speaker 7: She's leaving him these messages. She does sound to me

1026
00:53:43,960 --> 00:53:46,560
Speaker 7: like she's acting. So if she's yelling at him, she

1027
00:53:46,640 --> 00:53:47,640
Speaker 7: thinks he's alive, she.

1028
00:53:47,640 --> 00:53:49,239
Speaker 2: Thinks he's going to get these messages.

1029
00:53:49,640 --> 00:53:52,239
Speaker 7: Well, then this to me undermines the idea that the

1030
00:53:52,320 --> 00:53:54,920
Speaker 7: murder was intentional. And so that's why a lot of

1031
00:53:54,920 --> 00:53:58,160
Speaker 7: people do feel like the case maybe it was overcharged,

1032
00:53:58,160 --> 00:54:00,920
Speaker 7: and that the manslaughter charge that is intent to injure

1033
00:54:01,400 --> 00:54:04,160
Speaker 7: results in death, that might have been a more reasonable

1034
00:54:04,200 --> 00:54:04,920
Speaker 7: top charge.

1035
00:54:05,160 --> 00:54:08,680
Speaker 1: Not to mention, if she's that drunk and driving a car,

1036
00:54:09,080 --> 00:54:11,920
Speaker 1: she may be reckless to your point, but the intent

1037
00:54:12,080 --> 00:54:14,439
Speaker 1: of committing a murder she might not have even been

1038
00:54:14,480 --> 00:54:17,880
Speaker 1: capable of it, right because she might be engaging in

1039
00:54:17,960 --> 00:54:22,120
Speaker 1: reckless behavior. But also she's so drunk she might not

1040
00:54:22,160 --> 00:54:24,680
Speaker 1: have been able to even understand exactly what she was doing.

1041
00:54:26,640 --> 00:54:29,399
Speaker 7: So generally, in the law, the idea that you were

1042
00:54:29,440 --> 00:54:32,440
Speaker 7: incapacitated due to your own actions. You would drink and

1043
00:54:32,480 --> 00:54:34,440
Speaker 7: you were on drugs, et cetera, is not going to

1044
00:54:34,440 --> 00:54:37,560
Speaker 7: be a defense. Where it can sometimes come in is

1045
00:54:37,680 --> 00:54:42,440
Speaker 7: under a diminished capacity calculus in the sentencing phase. So

1046
00:54:42,600 --> 00:54:44,759
Speaker 7: you know, we'd have to see if you know, that

1047
00:54:44,800 --> 00:54:47,120
Speaker 7: has any impact on the way this goes with the

1048
00:54:47,200 --> 00:54:50,799
Speaker 7: judge and so forth, if it gets that far. But

1049
00:54:51,120 --> 00:54:56,000
Speaker 7: at this point in the proceedings, the key witnesses have

1050
00:54:56,160 --> 00:54:59,440
Speaker 7: already in my mind, taken the stand. The prosecution really

1051
00:54:59,520 --> 00:55:02,399
Speaker 7: front loaded things, and that is the and you know, Buck,

1052
00:55:02,440 --> 00:55:04,399
Speaker 7: you're well familiar with this. We were doing this when

1053
00:55:04,400 --> 00:55:08,080
Speaker 7: you were at the PD. The forensic digital work on

1054
00:55:08,280 --> 00:55:11,560
Speaker 7: the phones involved here in addition to the phone stuff,

1055
00:55:11,560 --> 00:55:14,319
Speaker 7: I just talked about from one of the witnesses, one

1056
00:55:14,360 --> 00:55:17,760
Speaker 7: man Jen McCabe, who's been testifying they dumped her phone

1057
00:55:18,400 --> 00:55:22,560
Speaker 7: at twenty seven. The original allegation was that Jen mckab

1058
00:55:22,760 --> 00:55:25,360
Speaker 7: googled how long to die in the cold? If that

1059
00:55:25,440 --> 00:55:28,799
Speaker 7: happened to two twenty seven, Karen Reid has got to

1060
00:55:28,800 --> 00:55:31,840
Speaker 7: get off because the body's not founduntil oh, six hundred

1061
00:55:31,920 --> 00:55:35,960
Speaker 7: six o'clock actually about six twenty. However, the firm that

1062
00:55:36,080 --> 00:55:39,200
Speaker 7: dumped the phone, firm called Celebrate, which Buck and I

1063
00:55:39,280 --> 00:55:41,239
Speaker 7: worked with. We did all kinds of work with them.

1064
00:55:41,280 --> 00:55:43,120
Speaker 7: It's an Israeli firm, the top of the food chain

1065
00:55:43,160 --> 00:55:46,359
Speaker 7: when it comes to digital forensics. They now have had

1066
00:55:46,400 --> 00:55:49,000
Speaker 7: to come back and cop to the fact that their

1067
00:55:49,040 --> 00:55:52,640
Speaker 7: software didn't really get it right. And this time around,

1068
00:55:52,760 --> 00:55:57,080
Speaker 7: it's probably the most compelling prosecution witness who now says

1069
00:55:57,520 --> 00:56:01,319
Speaker 7: that search was done by Jen McCabe at six twenty three.

1070
00:56:01,840 --> 00:56:04,520
Speaker 7: If that's the case, it happened after the body was found,

1071
00:56:04,560 --> 00:56:07,640
Speaker 7: and then Jen McCain took the stand and said, yes,

1072
00:56:07,719 --> 00:56:10,080
Speaker 7: that's exactly what happened. And in fact I did that

1073
00:56:10,160 --> 00:56:12,919
Speaker 7: search because Karen Reid asked me to do it at

1074
00:56:12,960 --> 00:56:15,719
Speaker 7: the scene when we found a body. So if you

1075
00:56:15,880 --> 00:56:19,880
Speaker 7: believe Jen McCabe and the Google forensics guy, it's not Google,

1076
00:56:20,200 --> 00:56:22,839
Speaker 7: but it was a Google search. You believe to celebrate guy,

1077
00:56:23,400 --> 00:56:25,800
Speaker 7: then you really got to come out and saying to yourself,

1078
00:56:25,880 --> 00:56:28,680
Speaker 7: Karen Reid's been lying about this and it looks bad

1079
00:56:28,680 --> 00:56:29,040
Speaker 7: for her.

1080
00:56:29,600 --> 00:56:30,640
Speaker 2: All Right, I'm sold.

1081
00:56:30,760 --> 00:56:34,440
Speaker 1: I'm watching Paul Morrow's new show, Karen Reid Retrial Live

1082
00:56:34,640 --> 00:56:36,360
Speaker 1: my WiFi. I think is gonna be. She likes the

1083
00:56:36,400 --> 00:56:38,359
Speaker 1: true crime stuff. She's gonna love this, so we're gonna

1084
00:56:38,360 --> 00:56:40,640
Speaker 1: have to check this out. It's on Fox Nation, Paul.

1085
00:56:42,360 --> 00:56:44,640
Speaker 7: It is on Fox Nation Live today starting at three.

1086
00:56:44,680 --> 00:56:46,400
Speaker 7: We got an all star cast coming in. It's not

1087
00:56:46,480 --> 00:56:47,399
Speaker 7: just me. I'm just the host.

1088
00:56:47,600 --> 00:56:48,360
Speaker 2: I'm the goalie.

1089
00:56:48,440 --> 00:56:50,239
Speaker 7: But we're gonna be doing it every week Friday at three,

1090
00:56:50,320 --> 00:56:52,440
Speaker 7: recapping this case as long as it goes on and

1091
00:56:52,760 --> 00:56:53,800
Speaker 7: a lot of drama coming.

1092
00:56:54,400 --> 00:56:55,120
Speaker 2: Oh that's great.

1093
00:56:55,280 --> 00:56:57,480
Speaker 1: That's gonna be coming up then right after we finished here,

1094
00:56:57,520 --> 00:56:59,800
Speaker 1: so folks can go tune right in at three Eastern

1095
00:57:00,200 --> 00:57:02,040
Speaker 1: on Fox Nation. If I could, Paul, I want to

1096
00:57:02,040 --> 00:57:04,880
Speaker 1: switch gears for a second and draw upon your extensive

1097
00:57:04,960 --> 00:57:07,840
Speaker 1: NYPD experience. You know, we had Stephen Miller on before.

1098
00:57:08,000 --> 00:57:10,360
Speaker 1: Who's a senior White House You know, Steve Miller is

1099
00:57:10,400 --> 00:57:12,239
Speaker 1: a senior White House guy works a lot of the

1100
00:57:12,239 --> 00:57:16,280
Speaker 1: immigrant on the immigration piece. He was talking about getting

1101
00:57:16,400 --> 00:57:20,920
Speaker 1: more cooperation from local law enforcement on immigration issues for

1102
00:57:21,000 --> 00:57:23,840
Speaker 1: federal law enforcement. Can you lay out, you know, we

1103
00:57:23,880 --> 00:57:29,600
Speaker 1: worked in a place where because it's terrorism, FBI, US marshalls, NYPD,

1104
00:57:29,720 --> 00:57:33,640
Speaker 1: everybody's trying to work together for the same mission on immigration.

1105
00:57:34,400 --> 00:57:36,600
Speaker 1: That is not the case, right. Can you give everyone

1106
00:57:36,640 --> 00:57:38,920
Speaker 1: some census to what some of the rules are, what

1107
00:57:39,080 --> 00:57:43,200
Speaker 1: some of the walls that are implemented by the mayor,

1108
00:57:43,240 --> 00:57:47,200
Speaker 1: the governor, et cetera, so that NYPD can and can't

1109
00:57:47,200 --> 00:57:49,160
Speaker 1: what can they do what can they not do when

1110
00:57:49,160 --> 00:57:50,800
Speaker 1: it comes to helping ice.

1111
00:57:52,640 --> 00:57:54,800
Speaker 7: All right, So all of this started under the previous

1112
00:57:54,840 --> 00:57:56,760
Speaker 7: mayor who was not a disaster for this city, a

1113
00:57:56,800 --> 00:58:00,640
Speaker 7: guy named Doblasio, and he put through two pieces of

1114
00:58:00,720 --> 00:58:04,080
Speaker 7: legislation in conjunction with the city Council making New York

1115
00:58:04,520 --> 00:58:06,080
Speaker 7: City a sanctuary city.

1116
00:58:06,120 --> 00:58:07,280
Speaker 2: And that's really the salient thing.

1117
00:58:07,280 --> 00:58:11,040
Speaker 7: We're also a sanctuary state, but nypedia city employees and

1118
00:58:11,080 --> 00:58:16,440
Speaker 7: that's what applies now. The out even in this legislation.

1119
00:58:17,000 --> 00:58:19,440
Speaker 7: The out is that if you are a member of

1120
00:58:19,480 --> 00:58:21,880
Speaker 7: a task force, a federal task force, well, then you're

1121
00:58:21,920 --> 00:58:26,120
Speaker 7: federalized and you can do immigration enforcement. You can look

1122
00:58:26,160 --> 00:58:28,520
Speaker 7: into a person's immigration status, and that can be a

1123
00:58:28,600 --> 00:58:31,400
Speaker 7: lever that you use as part of a criminal case.

1124
00:58:31,440 --> 00:58:33,160
Speaker 7: And that's why Buck, when you and I were in

1125
00:58:33,200 --> 00:58:36,520
Speaker 7: the task force, now, those laws were not in place yet.

1126
00:58:36,720 --> 00:58:39,600
Speaker 7: Even had they been, we would have been carved out

1127
00:58:39,600 --> 00:58:42,520
Speaker 7: of it as members of a task force. If you're

1128
00:58:42,560 --> 00:58:45,080
Speaker 7: not a member of the task force. Now it becomes

1129
00:58:45,360 --> 00:58:48,920
Speaker 7: a policy and law issue, sort of ping pong game.

1130
00:58:49,360 --> 00:58:51,640
Speaker 7: The policy issue is as follows. They won't ut a

1131
00:58:51,720 --> 00:58:55,120
Speaker 7: detainer's now a detainer is not in order from a judge.

1132
00:58:55,160 --> 00:58:58,920
Speaker 7: That is something that essentially Ice says, we conjured this,

1133
00:58:59,360 --> 00:59:01,600
Speaker 7: we needed to he's in jail. We need you to

1134
00:59:01,640 --> 00:59:03,320
Speaker 7: hang on to him for a couple of days so

1135
00:59:03,360 --> 00:59:07,040
Speaker 7: we can go get him. And essentially the local jurisdictions

1136
00:59:07,040 --> 00:59:09,960
Speaker 7: in the sanctuary cities say, no, we're not gonna do that.

1137
00:59:10,360 --> 00:59:13,120
Speaker 7: They probably can't get away with that even if we

1138
00:59:13,160 --> 00:59:15,240
Speaker 7: go forward and run all the legal traps on it,

1139
00:59:15,280 --> 00:59:18,280
Speaker 7: because it's a separate sovereign state to federal et cetera.

1140
00:59:18,800 --> 00:59:20,760
Speaker 2: Well, have more trouble.

1141
00:59:20,440 --> 00:59:22,280
Speaker 7: And we're seeing this come to a head now in

1142
00:59:22,320 --> 00:59:25,160
Speaker 7: the case in Milwaukee. Is this judge who tried to

1143
00:59:25,240 --> 00:59:27,240
Speaker 7: hide this guy and slip him out the back door?

1144
00:59:27,320 --> 00:59:30,160
Speaker 7: Why because Ice had a warrant, and it doesn't matter

1145
00:59:30,160 --> 00:59:31,720
Speaker 7: that it was not from a judge. She tried to

1146
00:59:31,720 --> 00:59:33,880
Speaker 7: hang her hat on that. This is not a judicial warrant.

1147
00:59:34,080 --> 00:59:37,000
Speaker 7: This is an administrative warrants. Some federal agencies can issue

1148
00:59:37,040 --> 00:59:39,720
Speaker 7: their own warrants. This was an arrest warrant period at

1149
00:59:39,720 --> 00:59:43,040
Speaker 7: the story, the guy was amenable to deportation. They came

1150
00:59:43,080 --> 00:59:45,240
Speaker 7: with the proper PaperWorks. She tried to slide them out

1151
00:59:45,240 --> 00:59:48,520
Speaker 7: the door. That's why that case is so important because

1152
00:59:48,640 --> 00:59:52,800
Speaker 7: ICE can issue administrative to warrants all day long. And

1153
00:59:53,040 --> 00:59:55,840
Speaker 7: if the Feds win that case, which I think they're gonna,

1154
00:59:56,240 --> 00:59:59,240
Speaker 7: you're gonna now put in You're gonna compromize the idea

1155
00:59:59,320 --> 01:00:03,360
Speaker 7: that the ICE warrants, the administrative warrants have the force

1156
01:00:03,440 --> 01:00:05,520
Speaker 7: of law, and judges you can't get in a way.

1157
01:00:05,680 --> 01:00:08,439
Speaker 7: So now Ice knows where the body's gonna be. Because

1158
01:00:08,440 --> 01:00:10,240
Speaker 7: these guys all get locked up. You know that buck

1159
01:00:10,280 --> 01:00:11,840
Speaker 7: Dy will permit robberies, etc.

1160
01:00:12,400 --> 01:00:13,560
Speaker 2: So now you know where.

1161
01:00:13,360 --> 01:00:15,640
Speaker 7: They're gonna be they're gonna be in state court. They

1162
01:00:15,640 --> 01:00:16,960
Speaker 7: got to go in front of a judge. You're wait

1163
01:00:16,960 --> 01:00:19,080
Speaker 7: in the hallway, just like these guys were doing. You know,

1164
01:00:19,120 --> 01:00:21,640
Speaker 7: they didn't budge into her courtroom. This was all ego.

1165
01:00:21,760 --> 01:00:23,840
Speaker 7: She didn't want them in her building in th Sudther nonsense.

1166
01:00:23,840 --> 01:00:26,280
Speaker 7: You don't own the building. It's a pro public building.

1167
01:00:26,520 --> 01:00:29,040
Speaker 7: They didn't go into her courthouse. They waited in the hallway,

1168
01:00:29,080 --> 01:00:31,600
Speaker 7: which is what Warren cops do all the time. Now

1169
01:00:31,720 --> 01:00:34,160
Speaker 7: ice can wait in the hallway when they know these

1170
01:00:34,160 --> 01:00:36,120
Speaker 7: guys are gonna be there, they come out.

1171
01:00:36,200 --> 01:00:37,000
Speaker 2: Boom, You got them.

1172
01:00:37,040 --> 01:00:38,760
Speaker 7: Nobody can get in the way, and out they go.

1173
01:00:38,800 --> 01:00:42,080
Speaker 7: And this is crucial to the worst first paradigm that

1174
01:00:42,120 --> 01:00:44,520
Speaker 7: the Trump administration wants to put into place. I think

1175
01:00:44,560 --> 01:00:46,560
Speaker 7: they win this one, and god speed.

1176
01:00:46,360 --> 01:00:47,320
Speaker 2: To them because they should.

1177
01:00:47,960 --> 01:00:51,080
Speaker 1: Paul Morrow, everybody go check out Karen Reid retrial live

1178
01:00:51,120 --> 01:00:53,479
Speaker 1: coming up here in just a few minutes on Fox Nation.

1179
01:00:54,200 --> 01:00:56,600
Speaker 1: Inspect Tomorrow always an honor, So come back and talk

1180
01:00:56,640 --> 01:00:57,360
Speaker 1: to us again soon.

1181
01:00:58,720 --> 01:01:00,000
Speaker 7: Oh anytime, you guys are the best.

1182
01:01:00,160 --> 01:01:00,400
Speaker 2: Love it.

1183
01:01:01,760 --> 01:01:05,240
Speaker 1: Thank him sounds fantastic. I want to tell you since

1184
01:01:05,320 --> 01:01:07,840
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1185
01:01:07,840 --> 01:01:11,280
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1186
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1187
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1188
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1189
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1190
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1191
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1201
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Speaker 5: Keep up with the biggest political comeback in world history

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Speaker 5: your podcasts.