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Speaker 1: Live from the Heart Blind and the Crossroads of America.

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Speaker 1: It's Tony Kats Today. Well, hey there party people.

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Speaker 2: Happy Christmas Eve, Eve, Christmas evening. Yeah, that's the way

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Speaker 2: that that works. We are on the eve of Christmas Eve.

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Speaker 2: I'm Andrew Langer in for Tony Kats Today on Tony

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Speaker 2: Katz Today. Thank you all so very much for joining us,

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Speaker 2: taking a little time out of your busy schedules as

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Speaker 2: the Christmas season is just upon us to listen. If

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Speaker 2: you're listening in your car, you're in your kitchen, or

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Speaker 2: your office, or wherever you might be listening, we appreciate

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Speaker 2: that here at the Tony Kats Today Show. You could

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Speaker 2: join the conversation. You can message me on Facebook, Facebook

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Speaker 2: dot com slash Andrew Langer Show if you're not following

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Speaker 2: me on X at Andrew Underscore Langer l A n

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Speaker 2: g E. Our rhymes with anger though I'm not an

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Speaker 2: angry guy. Langer runs me at Andrew Underscore Langer on

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Speaker 2: X We got a jam Pack show today. Scotty Hugh

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Speaker 2: is going to be joining us in a couple of

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Speaker 2: minutes to talk about all kinds of things. I want

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Speaker 2: to get her thoughts on the turning point event over

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Speaker 2: the weekend and the supposed rift within the conservative circles.

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Speaker 2: Laurence Stewart from Americans for Prosperity and Concerned Veterans of America,

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Speaker 2: she's going to be joining us. We're going to talk

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Speaker 2: healthcare with her. And I promise you, at least he's

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Speaker 2: promised me. Tom Schatz from Citizens Against Government ways going

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Speaker 2: to be joining us to talk about what we were

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Speaker 2: talking about yesterday. Now I am going to be breaking down.

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Speaker 2: I did landon, I did go and pull the transcript

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Speaker 2: of that Tim Waltz word salad from yesterday. He is

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Speaker 2: the gift that keeps on giving. Jasmine Crockett, too, the

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Speaker 2: gift that keeps on giving. Going to be talking about

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Speaker 2: her authenticity and she got asked, she got asked to

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Speaker 2: explain her policy positions, and it was everything you would expel.

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Speaker 2: I mean, we are talking These are Kamala like, Kamala

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Speaker 2: Kamala esque, Kamala esque answers that she gave. We're going

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Speaker 2: to break that down. But we've got good news today,

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Speaker 2: a couple of bits of good news today. Let me

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Speaker 2: start with this, Actually, Linda, we're going to jump down

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Speaker 2: to cut number three here is Doug Bergham, Secretary of Energy,

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Speaker 2: talking about wind shore energy products or in winter energy project.

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Speaker 2: Let's go to cut number three.

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Speaker 3: Today, we're sending notifications to the five large offshore WIN

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Speaker 3: projects that are under construction that they're going to be

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Speaker 3: their leases will be suspended due to national security concerns.

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Speaker 3: During this time of suspension, we'll work with the companies

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Speaker 3: to try to find a mitigation. But we've completed the

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Speaker 3: work that President Trump has asked us to do. The

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Speaker 3: Department of War has come back conclusively that the issues

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Speaker 3: related to these large offshore WIN programs have create radar

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Speaker 3: interference that creates a genuine risk for the US, particularly

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Speaker 3: related to the where they are in proximity to our

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Speaker 3: East Coast population centers.

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Speaker 2: They shocker, and you know it's one of them. I'm

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Speaker 2: sorry I said he was Secretary of Energy, of course,

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Speaker 2: Doug Burgham. It's Steve Wright. Is Chris Wright is Secretary

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Speaker 2: of Energy. Doug Bergham, Secretary of the Interior. Shocker, shocker, Listen,

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Speaker 2: it's like everything else. You know. You all know, I

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Speaker 2: do public policy work. In my other job, I do

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Speaker 2: regulatory policy, and one of the things that I deal

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Speaker 2: with is risk and the importance of assessing risks and

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Speaker 2: unintended consequences of regulatory decision making. You know, there are

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Speaker 2: always trade offs, always positives and negatives, always pros and cons.

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Speaker 2: Remember the opposite of progress is congress. They're always pros

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Speaker 2: and cons. And so as we talk about the issues

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Speaker 2: of wind energy and these wind projects offshore, all kinds

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Speaker 2: of questions get asked. Now listen, I'm going to say this.

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Speaker 2: I like the way windmills looked. I always have I

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Speaker 2: do what I want. One on a hill above my house.

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Speaker 2: Probably not not one of these projects. And I say

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Speaker 2: that just as far as esthetics go, but in terms

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Speaker 2: of the energy they generate and the costs and benefits therein,

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Speaker 2: I have lots of questions about this. And you know,

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Speaker 2: we already at least have great suspicion that when you

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Speaker 2: put a massive turbine out in the water on a platform,

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Speaker 2: depending on how that platform is secured, the spinning of

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Speaker 2: that turbine at the speeds necessary to generate the amount

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Speaker 2: of electricity that they're supposed to generate to make them worthwhile, well,

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Speaker 2: we have suspicions that they interfere with the sonar of

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Speaker 2: marine mammals, you know, we've seen these mass beachings that

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Speaker 2: have been happening, and if they interfere with the sonar

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Speaker 2: of these animals, potentially you can certainly imagine that they

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Speaker 2: interfere with the sonar of non mammalian objects in the water,

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Speaker 2: i e. Ships, i e. Submarines. And certainly when you

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Speaker 2: put these big towers with big splinting blades out them

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Speaker 2: on them out on the open seas, it might have

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Speaker 2: an impact on our national security, our ability to defend ourselves.

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Speaker 2: So good on, Doug Bergham, Good on the Department of War,

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Speaker 2: Department of Defense, however you want to call it for

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Speaker 2: doing this other great news. Let's go in reverse order,

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Speaker 2: still landing, let's play cut number two.

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Speaker 4: As you can see here, I have the Inspector General

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Speaker 4: is report, and you know it's right here, and I

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Speaker 4: just read the first paragraph SSA publicly reported national eight

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Speaker 4: hundred number of telephone metrics were accurate, and it's overall

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Speaker 4: telephone service performance improved in full your twenty twenty five,

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Speaker 4: in full your twenty twenty five's.

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Speaker 2: All right, hold on, I can't I gotta tell you,

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Speaker 2: I can't stand this guy's cadence. I apologize for that

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Speaker 2: The bottom line here is that there was a massive

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Speaker 2: hue and cry and moaning and wailing and gnashing of

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Speaker 2: teeth when DOSEE proceeded to go in and make cuts

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Speaker 2: within the Social Security Administration in terms of the customer service.

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Speaker 2: And guess what. What we discovered is that the sessay,

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Speaker 2: the Social Security Administration's customer service actually improved. It actually

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Speaker 2: got more efficient. It's almost as though when you make

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Speaker 2: something slim and lean and mean, it actually can function better.

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Speaker 2: Far from the accretion, far from the arthurro sclerosis or

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Speaker 2: arterial sclerosis that can occur the atrophy when you have

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Speaker 2: a massive, bloated bureaucracy. But most importantly most important news

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Speaker 2: of the day, I'm sure many of you already heard this,

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Speaker 2: are the revised third quarter GDP numbers. Let's play cut

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Speaker 2: number one.

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Speaker 5: Zoom four point three percent. Four point three percent. That

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Speaker 5: is a nice jump. And I know many may question

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Speaker 5: data gathering, but on the surface, this would be the

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Speaker 5: strongest quarter going back to the third quarter of twenty

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Speaker 5: twenty three when it was four point seven.

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Speaker 2: This is strong.

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Speaker 5: Three point five on consumption blows away the two point

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Speaker 5: seven we were expecting that would be the best since

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Speaker 5: the last quarter of twenty four on the price index.

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Speaker 2: So the GDP is up. Third quarter GDP had a

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Speaker 2: massive increase, well performed well beyond expectations. And this flies

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Speaker 2: in the face of what the media is telling us

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Speaker 2: about the state of the American economy. Now you listen,

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Speaker 2: there are areas in which we can be improving, certainly

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Speaker 2: when it comes to the issue of certainty and public policy,

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Speaker 2: especially trade policy. I know our manufacturing center sector wants

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Speaker 2: greater certainty in order to make investments. The same thing

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Speaker 2: with the issue of permitting reform. We got to get

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Speaker 2: a handle on this and get some major permitting reform done.

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Speaker 2: But the bottom line here is that for the individual consumers, right,

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Speaker 2: despite what the media is telling us, despite what the

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Speaker 2: media is telling you, people feel better about their lives

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Speaker 2: now than they have in a long time, and that's

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Speaker 2: reflected in their spending habits. You know, we had this

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Speaker 2: all up into the Christmas season. I think I did

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Speaker 2: spend some time with all of you in the weeks

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Speaker 2: leading up to just after Thanksgiving. Just before Thanksgiving, I

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Speaker 2: was doing a lot of radio also in the DC area,

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Speaker 2: and you had all kinds of folks are good friends

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Speaker 2: that termin Louselayer good friends of the National Retail Federation

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Speaker 2: warning about consumer spending being down. Looks like not so

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Speaker 2: much so according to these reports. This is good stuff

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Speaker 2: here now in a moment, because Jasmine Crockett, I gotta

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Speaker 2: tell you, she is the gift that keeps on giving.

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Speaker 2: In a sec we're gonna be breaking this down. I

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Speaker 2: am Andrew Langer in for Tony Kats Today on Tony

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Speaker 2: Katz Today. Welcome back, everybody. I am Andrew Langer and

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Speaker 2: for in for Tony Kats. By the way, I'm still

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Speaker 2: working on my Sean Ono interview. I know that sounds weird.

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Speaker 2: Weirdly enough, Sean was a couple of years behind me

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Speaker 2: in high school. Yeah, I went to that kind of

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Speaker 2: high school and he's actually a very thoughtful guy. So

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Speaker 2: there's a new interview up, I want to say from

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Speaker 2: CBS this morning. I haven't watched the whole thing yet,

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Speaker 2: it looks great. Stay tuned. I may, I may, I

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Speaker 2: may get it. Yet you never know, As they say,

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Speaker 2: the only the only interviews you never get are the

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Speaker 2: ones you never ask for. So I'm working on that.

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Speaker 2: And yes, we are doing some Christmas music today because

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Speaker 2: it is Christmas Eve. Eve. So yesterday I was talking

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Speaker 2: about Jasmine Crockett and she was not very happy with

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Speaker 2: JD Van sort of calling her out.

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Speaker 6: And.

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Speaker 2: She talked about her authenticity on EM Snow, what you're

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Speaker 2: all calling ms now, let's play cut number four.

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Speaker 7: And that is actually what they are fearful of, is

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Speaker 7: my authenticity because it rings true with every single American,

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Speaker 7: whether they're a Texan or not. It rings true that

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Speaker 7: I am fighting for real, everyday people. And instead of

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Speaker 7: talking about policy, when you're talking about that.

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Speaker 2: She asked, well, we're going to talk about policy in

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Speaker 2: just a second. How authentic is she? And I talked

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Speaker 2: about this yesterday and thank you to Western Lensman on

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Speaker 2: Twitter for pulling together this super cut witness ladies and gentlemen,

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Speaker 2: the ever changing, ever disappearing accent of Jasmine crocket based

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Speaker 2: upon who she's talking to. Let's play cut number all.

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Speaker 7: That is actually what they are fearful of is my

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Speaker 7: authenticity because it rings true with every single American, whether

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Speaker 7: they're a Texan or not. It rings true that I

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Speaker 7: am fighting for real, everyday people. And instead of talking

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Speaker 7: about policy, when you're talking about the record speaks for itself. Baby,

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Speaker 7: Let's talk about your record because the only reason you're

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Speaker 7: the vice president is because the current president.

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Speaker 2: Landa did that? Did did did my four a not

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Speaker 2: come through? Oh my goodness. Okay, well that's on me.

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Speaker 2: So Landa just said if you can't hear it, then

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Speaker 2: apparently I doubled the clips. Lots of trouble with clips

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Speaker 2: today you're coming through twice. In any case, she changes

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Speaker 2: her accent. Western Lensman has a really great super cutup

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Speaker 2: of this. You know who you know who also talked

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Speaker 2: about this. I mentioned this yesterday in terms of Democrats

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Speaker 2: are obsessed with how what they're doing scares Republicans. This

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Speaker 2: is what Tim Waltz said in early December. Let's play

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Speaker 2: cut number five.

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Speaker 6: But I think this notion of I think it's this

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Speaker 6: notion of toxicity and masculinity needs to be separated.

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Speaker 2: And I think it's been conflated.

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Speaker 8: And I think we we we're going to have to

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Speaker 8: work on that a little bit.

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Speaker 2: And I think there's look, there is a Christ so

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Speaker 2: much scare them guys, scare them a little bit.

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Speaker 9: Why they spend so much time on No I'm serious,

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Speaker 9: because I can't fix a truck.

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Speaker 2: They know I'm not this. I hope we got I dope.

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Speaker 2: My identity is not hunt about that.

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Speaker 9: My identity is not my football coaching.

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Speaker 2: My identity is not you know, a beard and a ruck.

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Speaker 2: There we go. Well, hopefully we're still on landing good.

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Speaker 2: All right, thanks for that. Yeah, forgot he dropped the

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Speaker 2: the BS line in there. Boy. I'm having a real

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Speaker 2: banner day today, guys. In any case, Uh, she was

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Speaker 2: on Jasmine Crockett was on em Snow yesterday with Cafine Rampell,

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Speaker 2: and she was asked to explain her policy positions. Uh,

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Speaker 2: and here we go with Kevin Renpel setting up the question,

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Speaker 2: let's play at number six Congress.

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Speaker 10: When I'm so glad you brought up policy. I went

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Speaker 10: back and I watched your launch speech about your campaign

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Speaker 10: for Senate, and a lot of it was talking about

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Speaker 10: the back and forth with Trump and other people who

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Speaker 10: have put you down over the years, But there really

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Speaker 10: wasn't that much about policy. So I want to give

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Speaker 10: you the opportunity now to talk a little bit about that.

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Speaker 10: Affordability is on everyone's minds. You talked about extending the

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Speaker 10: ACA subsidies. Can you give us like a couple of

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Speaker 10: other examples of policies that you would fight for to

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Speaker 10: help Texans your constituents on affordability issues if you were

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Speaker 10: granted a seat in the Senate.

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Speaker 2: Okay, so that's a very simple and straightforward question. You

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Speaker 2: made all of these fatuous claims that are out there,

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Speaker 2: yet you've been very thin on policy, very much like

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Speaker 2: your colleague and sometime mentor Kamala Harris. So it's a

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Speaker 2: very straightforward question. Let me give you a platform, Congresswoman

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Speaker 2: Croc Senate candidate Crockett, and here's how she gets into sell.

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Speaker 2: Let's go ahead and play cat number seven.

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Speaker 4: Yeah.

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Speaker 7: So, first of all, I think we need to raise

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Speaker 7: the minimum wage. We have not done that in a

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Speaker 7: national way, and so Texas is not taking it upon themselves.

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Speaker 7: So the minimum wage is still seven dollars and twenty

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Speaker 7: five cent. We can start to go ahead and put

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Speaker 7: more money into working people's pockets. And whether you're a

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Speaker 7: minimum wage worker or otherwise, we know that once you raise.

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Speaker 2: Yeah. So, so here here's what we do know. Here's

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Speaker 2: what we do know. We do know that this is

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Speaker 2: this is amazing to me that that the minimum wage

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Speaker 2: is not reflective of anything really on the ground, and

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Speaker 2: in fact, it's a you know, when you artificially raise wages,

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Speaker 2: it creates huge problems elsewhere in the economy. What we

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Speaker 2: do know is what you want is real wage growth,

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Speaker 2: i e. You want way wages to go up because

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Speaker 2: labor is in short supply and in high demand. Right,

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Speaker 2: That's one of the signs of a strong economy. So

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Speaker 2: what we know, for instance, is that over you know,

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Speaker 2: in the last year since Donald Trump has taken office,

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Speaker 2: real wages have gone up, meaning that wages have gone

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Speaker 2: up and they have outpaced inflation. That's what you want

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Speaker 2: in America. We know that in Texas. We know that

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Speaker 2: in Texas. No, she's talking about low income people right now.

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Speaker 2: She wants to do it nationally. But let's talk about

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Speaker 2: the minimum wage in Texas. Right She says, the minimum

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Speaker 2: wage hasn't been raised, and I don't know how long

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Speaker 2: it was. I'm looking at this. I pulled the numbers here.

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Speaker 2: The bottom ten percent of Texas workers saw substantial real

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Speaker 2: wage growth, around thirteen point two percent faster than middle earners,

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Speaker 2: despite high inflation. Nominal raw dollar wages rose significantly by

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Speaker 2: twenty twenty three, and high inflation meant that some of

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Speaker 2: those games were quickly eaten up. But the low end

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Speaker 2: workers gained ground. By mid twenty twenty three, wage growth

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Speaker 2: started surpassing inflation, meeting paychecks that began to keep pace

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Speaker 2: or exceed rising costs, and overall, by late twenty twenty five,

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Speaker 2: Texas's average weekly earnings were reported as higher than the

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Speaker 2: US average, reflecting strong growth and rising pay So, despite

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Speaker 2: all this, despite the fact that we have good numbers,

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Speaker 2: Jasmine Crockett wants to once again get government to metal right.

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Speaker 2: Remember what I said yesterday at the end of the day.

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Speaker 2: This is classic Marxist dialectic. We create a problem, we

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Speaker 2: manufacture a problem, we exacerbate a problem, and we try

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Speaker 2: to institute government as the solution to that problem. Now

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Speaker 2: she talks about affordability, She lies about affordability. Let's go

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Speaker 2: ahead to cut number eight.

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Speaker 7: We know that costs are going up to the extent

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Speaker 7: that we know that when people were showing up in

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Speaker 7: those food lines as the President was sending forty billion

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Speaker 7: dollars over to Argentina instead of making sure that people

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Speaker 7: that are supposed to get their snap and if it's

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Speaker 7: had their money, we know that there were a lot of.

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Speaker 2: Working class people I don't even know at the end.

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Speaker 2: So by the way. That's where it starts to go

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Speaker 2: off the rails in terms of this word slid, because

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Speaker 2: she knows she wants to talk about affordability, and she

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Speaker 2: wants to make this case about affordability, and that the

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Speaker 2: affordability is the president's fault and the president is unfeeling.

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Speaker 2: Let's start with this idea of sending money abroad. That's

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Speaker 2: a Kamala Harris idea, right, that is a Democrat mainstay.

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Speaker 2: That's how remember, guys, this is how the Democrats were

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Speaker 2: going to tackle illegal immigration. I mean, yeah, they were

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Speaker 2: going to open up the borders and make it easy

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Speaker 2: for anybody and their brother and sister and mom and

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Speaker 2: dad and granddaughter and cousin and cousins, cousin, etc. Etc.

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Speaker 2: Make it easy for everybody to come on in. But

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Speaker 2: their job. Remember Kamala Harris, she wouldn't visit the border,

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Speaker 2: but she went to all of these South American nations

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Speaker 2: to go and promise them all kinds of support so

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Speaker 2: that they the Biden administration would try to pump up

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Speaker 2: their economies, make their political societies more stable and prosperous,

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Speaker 2: and thereby encourage people to stay there. Now, I have

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Speaker 2: no problem with the idea of the US promoting policies

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Speaker 2: that create stable and prosperous economies, so long as it's

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Speaker 2: not done on the backs of the American taxpayer. And

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Speaker 2: the point is with Jasmine Crockett, she is somehow saying

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Speaker 2: that this is somehow all Donald Trump, and that Donald

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Speaker 2: Trump is unfeeling about this.

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Speaker 11: Now.

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Speaker 2: Of course, the reality is that inflation has been cut drastically. Now,

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Speaker 2: prices have not come down. You don't necessarily want deflation.

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Speaker 2: You'd like prices to remain relatively stable. You don't really

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Speaker 2: want a lot of deflation now if prices are artificially

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Speaker 2: high because the government has created a problem I e.

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Speaker 2: What I talked about yesterday with the issue of culling

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Speaker 2: over one hundred million chickens and the ensuing problems that

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Speaker 2: it has with egg and poultry prices. Or when you

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Speaker 2: make it so that it's impossible to drill and refine

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Speaker 2: gasoline or oil. You want gas prices to come down,

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Speaker 2: and they are. The proof is in the pudding. Congresswoman,

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Speaker 2: Now listen, we're going to come back to Jasmine Crockett

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Speaker 2: down the road. In the meantime, we're going to be

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Speaker 2: joining in a couple of minutes by Scotty Hughes. She

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Speaker 2: was gonna talk about riffs in the in the conservative movements.

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Speaker 2: I'm Andrew langer in for Tony Kats today. I look

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Speaker 2: back everybody. I am and Tony Kats. So else Christmas

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Speaker 2: season upon us through the Christmas Eve eve and joining

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Speaker 2: us right now is one of Santa's favorite elves. Her

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Speaker 2: name is Scotty Neil Hughes. She's a journalist doing all

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Speaker 2: kinds of interesting things. And Scotty, listen, let me start here.

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Speaker 2: I want to get your impressions of what you saw.

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Speaker 2: I know you were not out in Arizona for America Fest.

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Speaker 2: What were your impressions of what you saw at the

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Speaker 2: big TPUSA event? Wow?

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Speaker 11: Talking about putting me right on the spot, Andrew Langler,

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Speaker 11: I have avoided the last five days of people asking

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Speaker 11: me what I thought. You know, it's a mixed fact

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Speaker 11: for those of us that have been around since the

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Speaker 11: early tea party days, like yourself, and realizing what the

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Speaker 11: grassroots really means and how most donations to nonprofits are

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Speaker 11: twenty five dollars being given by grandma and grandpas and

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Speaker 11: they're sacrificing part of their own luxury, whether it be

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Speaker 11: a grocery bill or their own medicine because they believe

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Speaker 11: in the cause. They want to leave America for a

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Speaker 11: better person. From that perspective, I wasn't too thrilled. I

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Speaker 11: thought that, you know, that's not what grassroots conservatism is.

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Speaker 11: On the other hand, though, I did like there was

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Speaker 11: a lot of energy, there was a lot of excitement.

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Speaker 11: Whyvar I will say this, there was obviously a wide

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Speaker 11: variety of voices and opinions which you would never see

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Speaker 11: that from the Democrats perspective. You would never see a

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Speaker 11: major convention held with that kind of diversity and opinion

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Speaker 11: that all fell underneath one tenth. So from that perspective,

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Speaker 11: you know, I think that's a positive. On the other hand,

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Speaker 11: you know, I felt like I would at times watching

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Speaker 11: you know, my middle.

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Speaker 5: School children when they were middle school, fight with each.

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Speaker 11: Other and saying that what we needed a mom to

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Speaker 11: step in and say, you guy, that they're grounded until

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Speaker 11: they decide to get along.

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Speaker 2: Listen. We're going to come back to that in a second.

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Speaker 2: But to your point, I think there is a very

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Speaker 2: interesting insight there, which is you don't see right when

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Speaker 2: you have these big events that the left may do

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Speaker 2: it's usually some kind of a union event. In fact,

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Speaker 2: I think it's really all of a union event, or

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Speaker 2: it's people who are angry and upset and are against something,

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Speaker 2: whether it's there against Trump, or they're against the Kennedy

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Speaker 2: Center being named after Trump, or they're against you know,

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Speaker 2: whatever it is there. You know, this was largely positive

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Speaker 2: in many many ways. I mean, you don't get you know,

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Speaker 2: with the exception of the of the Democratic Convention every

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Speaker 2: four years, you don't get a Nicki Minaj showing up

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Speaker 2: at an event like this. That was a bit of

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Speaker 2: a of a stunner, wasn't it.

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Speaker 11: Well, it is, especially considering what Charlie Kirk going. And

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Speaker 11: oddly enough, it's been the younger generation who I have

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Speaker 11: in my Twitter feeds that are the ones that are

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Speaker 11: posting and reposting Charlie Kirk's comments saying he didn't feel

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Speaker 11: like Nicki Minaj was someone that needed to be highlighted

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Speaker 11: and mentored in society. So a lot of you know,

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Speaker 11: I will say this about the younger generation, and you

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Speaker 11: have younger girls as well, even though they're young adults,

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Speaker 11: young ladies, they are not just taking what adults say

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Speaker 11: for them and just marching along with orders like our

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Speaker 11: generation did. They are questioning everything, and they have technology,

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Speaker 11: they have videos.

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Speaker 2: So within minutes of.

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Speaker 11: Nicki Minaj coming out on stage, they were pulling the

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Speaker 11: clip of Charlie Kirk just recently saying that he did

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Speaker 11: not think Nicki Minaj was good for our society and

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Speaker 11: a good role model for women.

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Speaker 2: And they don't like to see.

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Speaker 11: That hypocrisy, especially when you're trying to live in Charlie

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Speaker 11: Kirk's legacy. And I have to point out everybody knows

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Speaker 11: Nicky's husband and her brother both need pardons from Donald Trump,

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Speaker 11: So you know, it doesn't hard to go out on

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Speaker 11: stage and do it. I guess what the Crease leagues did,

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Speaker 11: who also was, oddly enough, whose brother got in trouble

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Speaker 11: this weekend and needs a pardon for President Trump for

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Speaker 11: his own drunkeness and assaulting an officer. So you know,

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Speaker 11: unfortunately we live in a show bid time.

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Speaker 2: That might be the glitz and.

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Speaker 11: Glamour might be great for our generation, the younger generation.

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Speaker 12: Doesn't buy it.

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Speaker 11: They've been waiting and they have technology, so they're questioning

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Speaker 11: a lot of things from this weekend, and I'm actually

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Speaker 11: heartened to see that they're learning for themselves that they

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Speaker 11: don't just swallow what political parties and what government tells

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Speaker 11: them is the facts and the truth.

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Speaker 2: You know, you and I both gave a presentation. You

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Speaker 2: were gracious enough to sit down with students from my

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Speaker 2: high school who were down at SEAPAC last year, and

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Speaker 2: one of the most important lessons that I got from

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Speaker 2: my high school was the importance of skepticism. I'm glad

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Speaker 2: to see that that's being taken up because it really

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Speaker 2: is the most you know, being a deep listeners. I

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Speaker 2: was just saying to somebody today, being an active listener

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Speaker 2: and being a skeptic or two of the most important

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Speaker 2: qualities you can have. So let's talk about this though,

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Speaker 2: about the idea of mom stepping in. What do we

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Speaker 2: need to do? How can conservatives come together? We're seeing

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Speaker 2: a lot of riffs get get formed. Part of it

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Speaker 2: has to do with the accusations of the grifter class.

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Speaker 2: You and I both watched the grifter class run ramping

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Speaker 2: through the MAGA movement, through the Tea party movement, et cetera.

433
00:24:38,080 --> 00:24:40,639
Speaker 2: How do we guard against that? How do we guard

434
00:24:40,680 --> 00:24:43,880
Speaker 2: against being divided by those who benefit from dividing us?

435
00:24:44,600 --> 00:24:46,600
Speaker 11: Well, we'll be pointing something out. This is happening on

436
00:24:47,119 --> 00:24:49,960
Speaker 11: the other side, Andrew. I mean, hello, we just had

437
00:24:49,960 --> 00:24:53,120
Speaker 11: them take out Joe Biden behind the scenes, So there

438
00:24:53,240 --> 00:24:54,280
Speaker 11: is the sensu within.

439
00:24:54,160 --> 00:24:55,040
Speaker 2: The Democratic Party.

440
00:24:55,080 --> 00:24:57,640
Speaker 11: They took out their own presidential candidate and replace him

441
00:24:57,920 --> 00:25:01,399
Speaker 11: within days of themselves. So they do have it, but

442
00:25:01,440 --> 00:25:04,280
Speaker 11: they you know, they're obviously a lot more discreet. Oddly enough,

443
00:25:04,280 --> 00:25:07,359
Speaker 11: within the same people that wear purple hair and you know,

444
00:25:07,520 --> 00:25:10,560
Speaker 11: like and march down the street half naked, they're very

445
00:25:10,560 --> 00:25:13,040
Speaker 11: discreet when it comes to their personal internal conflicts.

446
00:25:13,119 --> 00:25:14,600
Speaker 2: So they have that same decision.

447
00:25:14,680 --> 00:25:17,640
Speaker 11: We put our dirty air, we air our dirty laundry

448
00:25:17,680 --> 00:25:19,399
Speaker 11: every chance we get, and that was what was on

449
00:25:19,680 --> 00:25:20,360
Speaker 11: high display.

450
00:25:20,400 --> 00:25:21,679
Speaker 2: Here's how we get through this.

451
00:25:22,040 --> 00:25:25,080
Speaker 11: And neither side's going to want to do it because unfortunately,

452
00:25:25,320 --> 00:25:27,280
Speaker 11: people are making money off.

453
00:25:27,080 --> 00:25:28,440
Speaker 13: Of this split.

454
00:25:28,840 --> 00:25:32,760
Speaker 11: People are gaining power and gaining So people have to

455
00:25:32,840 --> 00:25:35,239
Speaker 11: understand that when they speak to this, they don't have

456
00:25:35,320 --> 00:25:38,320
Speaker 11: to They don't need one hundred percent of the conservative movement.

457
00:25:38,400 --> 00:25:41,040
Speaker 14: It's so big right now, Andrew, you don't need.

458
00:25:40,880 --> 00:25:43,640
Speaker 11: To control one hundred percent of it, even twenty percent

459
00:25:43,720 --> 00:25:46,719
Speaker 11: of the conservative movement following you. You're still a millionaire,

460
00:25:47,040 --> 00:25:49,359
Speaker 11: so they could care less about the other side as

461
00:25:49,359 --> 00:25:51,880
Speaker 11: long as they've got their shore group. They're still making

462
00:25:51,920 --> 00:25:53,480
Speaker 11: the Mercedes Benz pavements.

463
00:25:53,880 --> 00:25:55,840
Speaker 2: So neither side.

464
00:25:55,680 --> 00:25:58,479
Speaker 11: Is going to want to actually give that power or

465
00:25:58,480 --> 00:26:01,000
Speaker 11: that money up, because, let me tell you, as we've learned,

466
00:26:01,000 --> 00:26:04,200
Speaker 11: the Turning Point is worth almost several million at this

467
00:26:04,240 --> 00:26:05,680
Speaker 11: So what do we what was the last thor I

468
00:26:05,680 --> 00:26:07,960
Speaker 11: don't even want to I don't remember yet remember, but

469
00:26:08,040 --> 00:26:10,720
Speaker 11: it has tends of millions of dogs. Eighty million, I

470
00:26:10,720 --> 00:26:12,120
Speaker 11: want to think, and think is what it is. It's

471
00:26:12,280 --> 00:26:14,959
Speaker 11: ridiculous how much Turning Point is worth right now, how

472
00:26:15,000 --> 00:26:18,400
Speaker 11: much they raised, and so not a side does want

473
00:26:18,400 --> 00:26:21,000
Speaker 11: to give those up. I do find it very interesting. Andrew,

474
00:26:21,080 --> 00:26:22,880
Speaker 11: now a little side there. I did have a friend

475
00:26:23,000 --> 00:26:25,119
Speaker 11: call me who went and they said, you know what

476
00:26:25,119 --> 00:26:29,160
Speaker 11: that was? That was everything that Seapack used to be and.

477
00:26:29,119 --> 00:26:32,440
Speaker 2: Wanted to be. I have no comment on this. I

478
00:26:32,480 --> 00:26:33,639
Speaker 2: have no comment on this. Gutty.

479
00:26:33,680 --> 00:26:36,840
Speaker 11: I know you're precluded from commenting, but and I get that,

480
00:26:36,880 --> 00:26:39,639
Speaker 11: but I'm saying this is something. But the difference between

481
00:26:39,640 --> 00:26:41,760
Speaker 11: Seapack and what we saw Turning Point was the Seapack

482
00:26:41,880 --> 00:26:44,760
Speaker 11: was more grassroots, while it still costs a lot of

483
00:26:44,800 --> 00:26:46,680
Speaker 11: money to go to Seapack. He was still there was

484
00:26:46,680 --> 00:26:49,800
Speaker 11: a grassroots movement. They still honored the people that were

485
00:26:49,800 --> 00:26:52,200
Speaker 11: out there that were knocking on doors and that we're

486
00:26:52,240 --> 00:26:52,760
Speaker 11: trying to do it.

487
00:26:52,760 --> 00:26:54,520
Speaker 2: They did have the million dollars behind me. I think

488
00:26:54,520 --> 00:26:56,920
Speaker 2: part of the reason why Seapack is moving from DC

489
00:26:57,080 --> 00:27:00,200
Speaker 2: to to Dallas this year is to be closer to

490
00:27:00,200 --> 00:27:03,080
Speaker 2: to the grassroots. So I think you know you're you're

491
00:27:03,080 --> 00:27:05,040
Speaker 2: going to see that a real retrenchment of that. Listened.

492
00:27:05,040 --> 00:27:06,239
Speaker 2: Before I let you go, I got I got two

493
00:27:06,320 --> 00:27:09,879
Speaker 2: quick questions for you. Number one, Nick Saban and the

494
00:27:09,960 --> 00:27:14,280
Speaker 2: Nashville Predators very exactly your thoughts.

495
00:27:13,960 --> 00:27:16,960
Speaker 11: Here, Well, that's what I mean, Nick Saban at this point,

496
00:27:17,000 --> 00:27:19,719
Speaker 11: because he owns a Mercedes dealership right outside of our

497
00:27:19,760 --> 00:27:22,680
Speaker 11: airport here in Nashville, you bought into the predators great

498
00:27:22,680 --> 00:27:26,119
Speaker 11: ownership obviously with Bill has them, who also is a

499
00:27:26,240 --> 00:27:27,680
Speaker 11: former governor, owns pilot oil.

500
00:27:28,080 --> 00:27:28,159
Speaker 15: Uh.

501
00:27:28,560 --> 00:27:29,240
Speaker 12: Nick David this.

502
00:27:29,119 --> 00:27:30,680
Speaker 11: Point needs to get rid of the A, the red

503
00:27:30,680 --> 00:27:32,560
Speaker 11: A and start wearing the orange tea because he's more

504
00:27:32,560 --> 00:27:34,439
Speaker 11: Tennessee than Alabama at this stage.

505
00:27:34,640 --> 00:27:37,280
Speaker 2: There there there and listen, we've seen it in how

506
00:27:37,320 --> 00:27:41,199
Speaker 2: Alabama is doing all right. And finally, finally, uh, I

507
00:27:41,240 --> 00:27:44,360
Speaker 2: know your kids aren't listening. What's what's the top seed?

508
00:27:44,680 --> 00:27:46,960
Speaker 2: What's the top seed in the in the kids Christmas

509
00:27:46,960 --> 00:27:49,199
Speaker 2: list this year? What's the number one thing that they

510
00:27:49,240 --> 00:27:55,320
Speaker 2: both want? College tuition paid for a good parking path

511
00:27:55,400 --> 00:27:55,800
Speaker 2: so that he.

512
00:27:55,760 --> 00:27:58,280
Speaker 11: Doesn't know, so that my son doesn't have to hike across.

513
00:27:58,520 --> 00:27:59,560
Speaker 14: Honestly, both of my.

514
00:27:59,560 --> 00:28:02,600
Speaker 11: Kids and I kid you not due to the economy

515
00:28:02,600 --> 00:28:05,240
Speaker 11: that I know, Trump had some great numbers come out today.

516
00:28:05,560 --> 00:28:08,000
Speaker 11: The reality of it is for most still middle class families,

517
00:28:08,000 --> 00:28:08,800
Speaker 11: there are still strugglings.

518
00:28:08,840 --> 00:28:09,959
Speaker 13: Best that they have kids in college.

519
00:28:10,040 --> 00:28:12,359
Speaker 11: My kids, my son is getting a big thing of

520
00:28:12,760 --> 00:28:16,280
Speaker 11: laundry detergent, some dire cheat, some sindbads.

521
00:28:17,440 --> 00:28:19,720
Speaker 2: My daughter is getting you know, some.

522
00:28:19,600 --> 00:28:24,200
Speaker 11: Accessories for her car so that it functions. So parents

523
00:28:24,240 --> 00:28:27,679
Speaker 11: are still trying to find ways to spoil their children,

524
00:28:27,720 --> 00:28:29,640
Speaker 11: but we're also having to be realistic in the economy

525
00:28:29,640 --> 00:28:30,280
Speaker 11: we live today.

526
00:28:30,520 --> 00:28:33,280
Speaker 2: Listen, my number one seed was to get a new puppy,

527
00:28:33,320 --> 00:28:36,520
Speaker 2: but the kibosh was put on that, So I'm instead

528
00:28:36,520 --> 00:28:40,040
Speaker 2: going to put some brighter lights on on my car.

529
00:28:40,200 --> 00:28:42,800
Speaker 2: So yeah, I get that, I get those things. Scotty

530
00:28:42,840 --> 00:28:44,520
Speaker 2: How do folks find out more about what you're up

531
00:28:44,520 --> 00:28:45,240
Speaker 2: to these days?

532
00:28:45,560 --> 00:28:47,600
Speaker 11: Go find me at Scotty and Hughes on Twitter.

533
00:28:47,720 --> 00:28:52,000
Speaker 2: Everything's there, big, big announcement coming up, I'm sure Scotty.

534
00:28:52,200 --> 00:28:54,360
Speaker 2: Merry Christmas to you, Mary Christmas.

535
00:28:54,360 --> 00:28:56,720
Speaker 11: Happy good all your listeners, Thank.

536
00:28:56,560 --> 00:28:59,440
Speaker 2: You, my dear. So listen, we got so much more

537
00:28:59,480 --> 00:29:01,880
Speaker 2: to get to here on the show, we're going to

538
00:29:01,920 --> 00:29:03,880
Speaker 2: be talking about well, I'm not sure we're going to

539
00:29:03,920 --> 00:29:06,760
Speaker 2: be I think we're going to talk about Jasmine Crockett

540
00:29:06,760 --> 00:29:09,040
Speaker 2: a little bit here. I'm Andrew Langer in for Tony

541
00:29:09,080 --> 00:29:12,600
Speaker 2: Kats Today on Tony Katz Today. Well, welcome back, everybody.

542
00:29:12,840 --> 00:29:16,840
Speaker 2: I love this song. True story when I in the nineties,

543
00:29:17,320 --> 00:29:19,640
Speaker 2: I was working for a law firm in DC. I

544
00:29:19,720 --> 00:29:22,360
Speaker 2: was the reader AND's personal assistant to a blind lawyer.

545
00:29:22,440 --> 00:29:25,160
Speaker 2: It's part of how I started working on public halicy

546
00:29:25,160 --> 00:29:28,800
Speaker 2: issues and they gave me some money. They wanted me

547
00:29:28,840 --> 00:29:34,440
Speaker 2: to DJ and do announcements at the law firm's children's

548
00:29:34,600 --> 00:29:37,040
Speaker 2: Christmas party. And this is one of the songs that

549
00:29:37,080 --> 00:29:38,960
Speaker 2: I found on a CD. I'm Gonna Last of Santa

550
00:29:38,960 --> 00:29:43,480
Speaker 2: Claus by Peggy Lee. My girls love this song. It's awesome. Anyway, Hi, everybody,

551
00:29:43,520 --> 00:29:47,960
Speaker 2: welcome back. I'm Andrew Langer in for Tony Kats today. Listen,

552
00:29:47,960 --> 00:29:51,600
Speaker 2: we're going to continue to talk about Jasmine Crockett. As

553
00:29:51,640 --> 00:29:53,760
Speaker 2: we were talking about in the first half hour of

554
00:29:53,840 --> 00:29:56,680
Speaker 2: the show today, she was on ms NOW or as

555
00:29:56,720 --> 00:30:00,320
Speaker 2: I call it, m Snow, talking about her authenticity. Asked

556
00:30:00,320 --> 00:30:05,800
Speaker 2: about public policy, she answers about minimum wage and affordability,

557
00:30:06,160 --> 00:30:09,520
Speaker 2: and as she talked about affordability, the word salads began

558
00:30:09,640 --> 00:30:13,640
Speaker 2: to appear, so she continued, Now, there was one question

559
00:30:13,680 --> 00:30:15,720
Speaker 2: that I got asked, fifteen second question, and there was

560
00:30:15,760 --> 00:30:18,160
Speaker 2: a whole series of answers, at least she answered them.

561
00:30:18,760 --> 00:30:22,480
Speaker 2: But these are kamala esque like answers. Here she is

562
00:30:22,520 --> 00:30:25,240
Speaker 2: talking about taxes and tax subsidies. Let's go ahead and

563
00:30:25,240 --> 00:30:26,240
Speaker 2: play cut number nine.

564
00:30:26,440 --> 00:30:28,520
Speaker 7: You know that there were a lot of working class people.

565
00:30:28,920 --> 00:30:31,680
Speaker 7: We have somehow decided that in this country we were

566
00:30:31,720 --> 00:30:35,560
Speaker 7: okay with two senators from Texas voting to make tax

567
00:30:35,640 --> 00:30:38,680
Speaker 7: cuts for billionaires permanent, while at the same time not

568
00:30:38,800 --> 00:30:42,640
Speaker 7: being okay with making sure the tax subsidies are that

569
00:30:42,720 --> 00:30:45,320
Speaker 7: our temporary are available as a release of healthcare.

570
00:30:46,000 --> 00:30:49,880
Speaker 2: I mean, what a bizarre statement to sort of contrast

571
00:30:50,000 --> 00:30:54,880
Speaker 2: I mean, setting aside the fact that the Trump tax

572
00:30:55,000 --> 00:30:59,880
Speaker 2: cuts we know gave tax cuts are no change in

573
00:31:00,080 --> 00:31:03,160
Speaker 2: taxes to eighty seven percent of taxpayers. How do we

574
00:31:03,200 --> 00:31:07,240
Speaker 2: know this because the Democratic Controller of Maryland ran the numbers,

575
00:31:08,080 --> 00:31:11,600
Speaker 2: the Democrat controller, and by the way, for his pains

576
00:31:11,640 --> 00:31:14,520
Speaker 2: and being honest about this, he was not able to

577
00:31:15,600 --> 00:31:19,160
Speaker 2: not able to gain the Democratic nomination for governor of Maryland.

578
00:31:19,200 --> 00:31:21,760
Speaker 2: That's part of how we got Wes Moore. But setting

579
00:31:21,800 --> 00:31:25,880
Speaker 2: all of that aside, right, she sort of buries it

580
00:31:25,920 --> 00:31:31,320
Speaker 2: in there, doesn't she extend temporary tax subsidies? Right? They're

581
00:31:31,360 --> 00:31:34,160
Speaker 2: supposed to be temporary, They're not supposed to be permanent.

582
00:31:35,880 --> 00:31:39,280
Speaker 2: I mean, setting aside that all of this, the issue

583
00:31:39,280 --> 00:31:45,120
Speaker 2: of the Obamacare subsidies is purely a democratic problem. All

584
00:31:45,120 --> 00:31:47,600
Speaker 2: of this is created by the Democrats. The Affordable Care

585
00:31:47,600 --> 00:31:52,200
Speaker 2: Act is a Democrat problem. The ruination into our healthcare sector,

586
00:31:52,240 --> 00:31:53,960
Speaker 2: which we're going to get to in the next hour

587
00:31:54,480 --> 00:31:57,960
Speaker 2: and the last hour, laid at the feet of Democrats.

588
00:31:58,240 --> 00:32:04,000
Speaker 2: The adiocs that are out there, these subsidies implemented by

589
00:32:04,040 --> 00:32:07,320
Speaker 2: Democrats because Democrats had created a public health crisis and

590
00:32:07,440 --> 00:32:11,280
Speaker 2: exacerbated a public health crisis, shutting down the economy and

591
00:32:11,280 --> 00:32:14,920
Speaker 2: throwing millions of people out of work. Well, guess what

592
00:32:15,760 --> 00:32:20,280
Speaker 2: the economy's coming back. Maybe we ought to focus on

593
00:32:20,360 --> 00:32:23,680
Speaker 2: the real problems in healthcare and not continue to try

594
00:32:23,680 --> 00:32:26,400
Speaker 2: to tinker with this. And I'll say this on both

595
00:32:26,400 --> 00:32:29,960
Speaker 2: sides of the aisle. If you are having to hand

596
00:32:30,000 --> 00:32:32,640
Speaker 2: down money or you are talking about handing out money

597
00:32:33,320 --> 00:32:38,720
Speaker 2: because some prospect, some program of yours, has upended a

598
00:32:38,760 --> 00:32:41,200
Speaker 2: sector of the economy, maybe if he didn't up end

599
00:32:41,240 --> 00:32:43,000
Speaker 2: the sector of the economy in the first place, we

600
00:32:43,040 --> 00:32:46,800
Speaker 2: wouldn't need to tinker it. Like we're some high school

601
00:32:47,120 --> 00:32:50,800
Speaker 2: custodian trying to balance a clock, a school clock with

602
00:32:50,840 --> 00:32:53,840
Speaker 2: paper clips. Take off a little bit here, put on

603
00:32:53,880 --> 00:32:57,959
Speaker 2: some there, but then it goes completely off the rails,

604
00:32:59,000 --> 00:33:01,960
Speaker 2: and she starts talking about international trade. Let's play cut

605
00:33:02,040 --> 00:33:02,600
Speaker 2: number ten.

606
00:33:03,480 --> 00:33:06,360
Speaker 7: We also know that we are in Texas and we

607
00:33:06,400 --> 00:33:09,320
Speaker 7: do trading big. We are one of the largest trading

608
00:33:09,480 --> 00:33:12,680
Speaker 7: states in this entire world. And with that, we know

609
00:33:12,760 --> 00:33:15,520
Speaker 7: that we are experiencing record bankruptcies from a lot of

610
00:33:15,560 --> 00:33:18,880
Speaker 7: our small businesses because of the tariff policies that this

611
00:33:19,000 --> 00:33:21,680
Speaker 7: president has decided he wanted to implement. It is time

612
00:33:21,720 --> 00:33:24,120
Speaker 7: to rain him in. It is time to implement some

613
00:33:24,160 --> 00:33:26,240
Speaker 7: sort of checks in bout you.

614
00:33:26,200 --> 00:33:28,760
Speaker 2: Know something I need to It's time to implemence some

615
00:33:28,840 --> 00:33:32,160
Speaker 2: kind of checks and balances. That's what she was saying.

616
00:33:33,040 --> 00:33:38,760
Speaker 2: And this is just it. Well, that's so funny. I mean,

617
00:33:39,160 --> 00:33:44,000
Speaker 2: the US bankruptcies were up, but they were up between

618
00:33:44,360 --> 00:33:50,080
Speaker 2: twenty twenty four and twenty twenty five. That's the way

619
00:33:50,120 --> 00:33:53,200
Speaker 2: it was. Bankruptcy followings was thirteen point one percent during

620
00:33:53,200 --> 00:33:56,960
Speaker 2: the twelve month period between mark April one, twenty twenty

621
00:33:56,960 --> 00:34:00,880
Speaker 2: four and March thirty one, twenty twenty five. That number

622
00:34:00,920 --> 00:34:08,200
Speaker 2: is actually down down, you know, the numbers are trending down.

623
00:34:08,280 --> 00:34:11,440
Speaker 2: So she's just wrong on the face there. But this

624
00:34:11,560 --> 00:34:13,440
Speaker 2: is my favorite. This is my favorite. Well, oh, by

625
00:34:13,440 --> 00:34:17,799
Speaker 2: the way, trading big Texas is trading big. Let's go

626
00:34:17,880 --> 00:34:19,200
Speaker 2: to cut number eleven.

627
00:34:19,960 --> 00:34:23,239
Speaker 7: We also know that ultimately, when I came down to

628
00:34:23,280 --> 00:34:26,720
Speaker 7: making this decision, the Senate is the one that actually

629
00:34:26,760 --> 00:34:30,040
Speaker 7: has oversight over the Supreme Court. It is time for

630
00:34:30,120 --> 00:34:33,560
Speaker 7: us to actually exercise some oversight. And this is the

631
00:34:33,600 --> 00:34:36,520
Speaker 7: only court, the highest court in the land. It's the

632
00:34:36,560 --> 00:34:39,080
Speaker 7: only one that does not have any type of ethics

633
00:34:39,280 --> 00:34:41,319
Speaker 7: that they have to follow. I think that we need

634
00:34:41,360 --> 00:34:44,040
Speaker 7: to look at that in addition to the fact anyone

635
00:34:44,080 --> 00:34:48,120
Speaker 7: who gets a lifetime appointment has to go through the Senate,

636
00:34:48,480 --> 00:34:50,400
Speaker 7: and so it's time for us to make sure that

637
00:34:50,480 --> 00:34:53,279
Speaker 7: we have someone who has been in those courtrooms and

638
00:34:53,360 --> 00:34:56,360
Speaker 7: can make sure that the right judges are on the benches.

639
00:34:56,800 --> 00:34:59,040
Speaker 2: Now. I don't remember about John Cornyn, but Ted Kruz

640
00:34:59,080 --> 00:35:02,000
Speaker 2: has been in that court, of those courtrooms and actually

641
00:35:02,880 --> 00:35:05,360
Speaker 2: practice law at a much higher level than Jasmine Crockett

642
00:35:05,440 --> 00:35:09,480
Speaker 2: ever did. But my imagination, or does she sound like

643
00:35:09,719 --> 00:35:13,240
Speaker 2: an eighth grader ninth grader who's just discovered some little

644
00:35:13,320 --> 00:35:17,439
Speaker 2: factoid after listening to a conspiracy theory podcast. You may

645
00:35:17,440 --> 00:35:20,080
Speaker 2: not know this, but the Supreme Court is the highest

646
00:35:20,080 --> 00:35:23,879
Speaker 2: court in the land. Yeah. No, guffh there, Chet, We're

647
00:35:23,920 --> 00:35:28,000
Speaker 2: aware of this. But no, the Senate does not exercise

648
00:35:28,200 --> 00:35:31,920
Speaker 2: oversight over the Supreme Court. Yeah, the Senate gets to

649
00:35:32,800 --> 00:35:37,120
Speaker 2: advise and consent and deal with the nominations of Supreme

650
00:35:37,120 --> 00:35:41,640
Speaker 2: Court judges, take them up and have hearings and pass them. Ultimately. Yeah,

651
00:35:41,640 --> 00:35:44,960
Speaker 2: they can do I guess an impeachment, but that's not

652
00:35:45,080 --> 00:35:48,400
Speaker 2: the same thing as oversight. The whole nature of checks

653
00:35:48,400 --> 00:35:52,520
Speaker 2: and balances is such that the Supreme Court doesn't have that. Listen.

654
00:35:53,360 --> 00:35:56,320
Speaker 2: In the next hour, we got Lawrence Stewart from Americans

655
00:35:56,360 --> 00:36:00,000
Speaker 2: for Prosperity. We got new ship classes being proposed, Yeah,

656
00:36:00,120 --> 00:36:02,360
Speaker 2: Trump class of ships. Here on Tony Katz.

657
00:36:02,080 --> 00:36:15,480
Speaker 1: Today line from the Hartbland and the Crossroads of America.

658
00:36:15,880 --> 00:36:21,919
Speaker 2: It's Tony Katz today. Well, welcome back everybody. I am

659
00:36:22,160 --> 00:36:24,839
Speaker 2: Andrew Langer in for Tony Katz today. By the way,

660
00:36:25,600 --> 00:36:27,320
Speaker 2: I meant to say this yesterday. Din't even get a

661
00:36:27,400 --> 00:36:30,040
Speaker 2: chance to If you like what you hear here on

662
00:36:30,080 --> 00:36:32,640
Speaker 2: Tony Kats today, you know I do my policy work

663
00:36:32,680 --> 00:36:36,640
Speaker 2: for CEPAC, do some media work there as well. Alluded

664
00:36:36,640 --> 00:36:39,480
Speaker 2: to it in our conversation with Scotti Hughes, both the

665
00:36:39,560 --> 00:36:43,400
Speaker 2: director of the Center for Regulatory Freedom and the chairman

666
00:36:43,440 --> 00:36:46,120
Speaker 2: of something called the director of something called the Coalitioning

667
00:36:46,200 --> 00:36:49,240
Speaker 2: and Socialized Medicine. I'm gonna be talking with Tom Schatz

668
00:36:49,280 --> 00:36:53,399
Speaker 2: a little bit about some of the CHASM work. Also

669
00:36:53,600 --> 00:36:56,640
Speaker 2: within this hour, I'm gonna be talking with Lauren Stewart

670
00:36:56,640 --> 00:36:59,960
Speaker 2: from AFP and Concerned Veterans of America about healthcare pop.

671
00:37:01,080 --> 00:37:04,680
Speaker 2: But I also I also do a podcast for an

672
00:37:04,719 --> 00:37:06,680
Speaker 2: outlet called the Federal News Wire. It's called The Lunch

673
00:37:06,760 --> 00:37:11,680
Speaker 2: Hour at the Lunch Hour, the Lunch Hour Pod on

674
00:37:12,360 --> 00:37:15,440
Speaker 2: x or Twitter as I still call it. Brand new

675
00:37:15,480 --> 00:37:19,440
Speaker 2: episode dropped yesterday. If you're a fan of Little House

676
00:37:19,560 --> 00:37:21,759
Speaker 2: on the Prairie, and I know you are fan of

677
00:37:21,800 --> 00:37:24,239
Speaker 2: Little House on the Prairie, I sat down this week

678
00:37:24,280 --> 00:37:27,560
Speaker 2: in a special, very special Christmas episode of the Lunch

679
00:37:27,600 --> 00:37:30,960
Speaker 2: Hour podcast to talk with Dean Butler, who played Almanzo

680
00:37:31,080 --> 00:37:33,879
Speaker 2: Wilder on Little House on the Prairie. We talk about

681
00:37:33,880 --> 00:37:38,960
Speaker 2: the enduring legacy. They've got a new documentary out about

682
00:37:39,000 --> 00:37:43,000
Speaker 2: Little House and specifically about folks who gathered up in

683
00:37:44,560 --> 00:37:49,759
Speaker 2: up in Walnut Grove, Minnesota to celebrate the Little House.

684
00:37:49,760 --> 00:37:52,000
Speaker 2: They also did an event in southern California a couple

685
00:37:51,960 --> 00:37:54,839
Speaker 2: of weeks ago. So it's a great, great interview. If

686
00:37:54,880 --> 00:37:56,799
Speaker 2: you're a fan of Stephen Sondheim, we talked a little

687
00:37:56,800 --> 00:37:59,560
Speaker 2: bit about Sondheim as well, So go and check that

688
00:37:59,600 --> 00:38:02,279
Speaker 2: out the Lunch Hour podcast that I do at the

689
00:38:02,320 --> 00:38:05,960
Speaker 2: Lunch Hour pot on Twitter. In the meantime, guys, so

690
00:38:06,040 --> 00:38:08,920
Speaker 2: we had some big news yesterday, and I know we

691
00:38:09,000 --> 00:38:10,880
Speaker 2: spent a bit of time talking about the Hue and

692
00:38:10,960 --> 00:38:13,560
Speaker 2: Cry and moaning and wailing and gnashing of teeth over

693
00:38:13,680 --> 00:38:16,600
Speaker 2: Donald Trump putting his name on the Kennedy Center, not

694
00:38:16,640 --> 00:38:19,360
Speaker 2: even Donald Trump, their perception that Donald Trump put his

695
00:38:19,440 --> 00:38:21,319
Speaker 2: name on the Kennedy Center. But to be fair, the

696
00:38:21,440 --> 00:38:26,200
Speaker 2: Kennedy Center board voted for this well big announcement yesterday.

697
00:38:27,000 --> 00:38:30,160
Speaker 2: And I discussed a little bit about ship building yesterday

698
00:38:30,800 --> 00:38:33,160
Speaker 2: with one of our guests and the issue of permitting

699
00:38:33,560 --> 00:38:37,839
Speaker 2: and how important that is in the ship building industry.

700
00:38:39,520 --> 00:38:42,799
Speaker 2: While they announced yesterday this major move towards building a

701
00:38:42,880 --> 00:38:46,000
Speaker 2: new class of ship, they're calling it the Trump Class.

702
00:38:46,040 --> 00:38:48,439
Speaker 2: I'm sure that somebody is going to change that down

703
00:38:48,440 --> 00:38:52,839
Speaker 2: the road. But here as President Trump talking about this

704
00:38:52,920 --> 00:38:55,399
Speaker 2: new class of battleships. Let's play cut twenty three.

705
00:38:56,200 --> 00:38:58,360
Speaker 16: As Commander in Chief, it is my great honor to

706
00:38:58,480 --> 00:39:01,680
Speaker 16: announce that I have approved a plan for the Navy

707
00:39:01,760 --> 00:39:05,520
Speaker 16: to begin the construction of two brand new, very large

708
00:39:05,520 --> 00:39:10,279
Speaker 16: the largest we've ever built battleships. You know, you used

709
00:39:10,320 --> 00:39:15,759
Speaker 16: to build the Iowa, the Missouri, the Wisconsin, the Alabama,

710
00:39:15,880 --> 00:39:20,239
Speaker 16: many others We had big battleships. These are bigger, but

711
00:39:20,320 --> 00:39:24,480
Speaker 16: they will have one hundred times there will be one

712
00:39:24,560 --> 00:39:30,319
Speaker 16: hundred times the force the power and there's never been

713
00:39:30,360 --> 00:39:34,799
Speaker 16: anything like these ships. These have been under design consideration

714
00:39:34,960 --> 00:39:38,440
Speaker 16: for a long time, and it started with me in

715
00:39:38,520 --> 00:39:41,040
Speaker 16: my first term because they said, why aren't we doing

716
00:39:41,080 --> 00:39:42,440
Speaker 16: battleships like we used to?

717
00:39:43,480 --> 00:39:47,759
Speaker 17: And the these are the best in the world. It

718
00:39:47,800 --> 00:39:50,600
Speaker 17: will be the fastest, the biggest, and by far, one

719
00:39:50,640 --> 00:39:55,160
Speaker 17: hundred times more powerful than any battleship ever built. So

720
00:39:55,200 --> 00:39:59,040
Speaker 17: if you look at the Iowa, the Missouri, Wisconsin, Alabama,

721
00:39:59,040 --> 00:40:02,280
Speaker 17: and others, but they were they were similar in size,

722
00:40:02,440 --> 00:40:04,839
Speaker 17: some a little bit bigger than the others, but if

723
00:40:04,880 --> 00:40:08,880
Speaker 17: you take the biggest one, it's one hundred times more powerful.

724
00:40:09,960 --> 00:40:15,680
Speaker 2: They're longer by a little bit, but the and the bigger,

725
00:40:15,719 --> 00:40:18,640
Speaker 2: the bigger ships, but they hold much more. They use

726
00:40:18,680 --> 00:40:23,240
Speaker 2: the word lethality, and he got into it, talked about

727
00:40:23,239 --> 00:40:25,360
Speaker 2: the lethality. It was a little a little going to

728
00:40:25,400 --> 00:40:28,480
Speaker 2: pull the pull the clips in that way. And of

729
00:40:28,520 --> 00:40:33,600
Speaker 2: course right the left is all angry once again. Oh,

730
00:40:33,680 --> 00:40:36,640
Speaker 2: Donald Trump's lie, He's lying, He's lying about the size

731
00:40:36,640 --> 00:40:39,880
Speaker 2: of the ships. These ships were bigger. Well, and this

732
00:40:39,960 --> 00:40:42,360
Speaker 2: is going to sound like I'm splitting hairs, But it

733
00:40:42,440 --> 00:40:47,000
Speaker 2: depends on how you define bigger. Right, are are ships

734
00:40:47,280 --> 00:40:52,400
Speaker 2: now and these ships may be longer and wider, but

735
00:40:52,520 --> 00:40:58,719
Speaker 2: they may way less because of the construction materials and

736
00:40:58,800 --> 00:41:02,840
Speaker 2: how they are constructed. The gross tonnage may be smaller.

737
00:41:02,880 --> 00:41:06,520
Speaker 2: The displacement, yes, I do use a naval a naval term,

738
00:41:06,560 --> 00:41:09,600
Speaker 2: a nautical term, the displacement how you measure the weight

739
00:41:09,640 --> 00:41:14,400
Speaker 2: of a ship might be might be might be a smaller,

740
00:41:14,719 --> 00:41:18,120
Speaker 2: but it may be bigger dimensionally, which by the way,

741
00:41:18,200 --> 00:41:20,480
Speaker 2: is just a stupid argument to get involved in. But

742
00:41:20,560 --> 00:41:25,799
Speaker 2: the point is. Trump continued to talk about what this

743
00:41:26,040 --> 00:41:30,400
Speaker 2: meant in terms of what this means in terms of

744
00:41:30,840 --> 00:41:36,080
Speaker 2: the the lethality, the state of the art weapons. I

745
00:41:36,120 --> 00:41:40,120
Speaker 2: said this yesterday in case you missed it. You know,

746
00:41:40,200 --> 00:41:44,280
Speaker 2: the issue is now we've got these We've got these

747
00:41:44,560 --> 00:41:46,279
Speaker 2: laws on the books this long. The book's called the

748
00:41:46,400 --> 00:41:49,920
Speaker 2: Jones Act, and the Jones Act says that all American

749
00:41:50,120 --> 00:41:54,200
Speaker 2: flagged ships, so ships that are that are certified in

750
00:41:54,239 --> 00:41:56,839
Speaker 2: the United States and carry the US flag on them

751
00:41:56,920 --> 00:41:59,080
Speaker 2: or under the protection of the United States, they are

752
00:41:59,080 --> 00:42:02,160
Speaker 2: supposed to be built in the United States. Any ship

753
00:42:02,280 --> 00:42:06,880
Speaker 2: transporting goods between US ports has to be an American

754
00:42:06,960 --> 00:42:10,360
Speaker 2: flagged ship, and the Jones Act exists to protect that

755
00:42:10,640 --> 00:42:12,480
Speaker 2: one of the reasons why the Jones Actor, one of

756
00:42:12,520 --> 00:42:15,560
Speaker 2: the justifications for the Jones Act is to protect and

757
00:42:15,640 --> 00:42:23,239
Speaker 2: preserve America's ship building industry. The problem, of course, and

758
00:42:23,400 --> 00:42:27,520
Speaker 2: many of the detractors of the Jones Act point to this,

759
00:42:28,280 --> 00:42:32,040
Speaker 2: is that the US has consistently lost ground on building ships.

760
00:42:33,360 --> 00:42:37,000
Speaker 2: And now you get the more libertarian crowds that almost

761
00:42:37,120 --> 00:42:38,560
Speaker 2: have a great deal of affinity for a lot of

762
00:42:38,560 --> 00:42:41,040
Speaker 2: the small L libertarians out there, even some of the

763
00:42:41,040 --> 00:42:46,319
Speaker 2: big L libertarians out there. But when push comes to

764
00:42:46,440 --> 00:42:51,239
Speaker 2: shove and I'm wanting to refit the American Navy or

765
00:42:51,280 --> 00:42:56,479
Speaker 2: I'm wanting to expand the American military Navy, I don't

766
00:42:56,480 --> 00:42:58,399
Speaker 2: want to have to be relying on ships that are

767
00:42:58,400 --> 00:43:01,240
Speaker 2: being built in foreign ports. Certainly don't want to rely

768
00:43:01,800 --> 00:43:05,120
Speaker 2: on having to get them repaired in foreign ports. Right.

769
00:43:05,160 --> 00:43:07,720
Speaker 2: The last thing we would want is to be relying

770
00:43:07,760 --> 00:43:10,080
Speaker 2: on South Korea to build our ships. And all of

771
00:43:10,120 --> 00:43:12,600
Speaker 2: a sudden, we're involved in a naval war with some

772
00:43:12,880 --> 00:43:18,880
Speaker 2: power in cert whatever power you want, some power which

773
00:43:18,960 --> 00:43:22,040
Speaker 2: is trying to exert naval dominance in the Pacific, and

774
00:43:22,080 --> 00:43:24,399
Speaker 2: we're trying to get a new ship back here from

775
00:43:24,440 --> 00:43:27,320
Speaker 2: South Korea. No we want to build those ships here.

776
00:43:28,480 --> 00:43:30,840
Speaker 2: And the reality is if the Jones Act has not

777
00:43:31,360 --> 00:43:37,200
Speaker 2: been able to stem the exodus of shipbuilding. I'm not

778
00:43:37,239 --> 00:43:39,479
Speaker 2: saying that means we need to throw out the Jones Act.

779
00:43:40,320 --> 00:43:42,479
Speaker 2: What it does is point to that there are other

780
00:43:42,600 --> 00:43:46,360
Speaker 2: inadequacies in the American system that are calling for that.

781
00:43:47,000 --> 00:43:51,759
Speaker 2: I'll never forget this, guys. Let's say it was six

782
00:43:51,840 --> 00:43:54,719
Speaker 2: months ago. I was at a local Starbucks and let

783
00:43:54,719 --> 00:43:57,839
Speaker 2: me paint the picture quickly, so you understand, I live

784
00:43:58,040 --> 00:44:05,200
Speaker 2: well outside of DC. I live in Williamsburg, Virginia, and

785
00:44:05,440 --> 00:44:09,640
Speaker 2: right near Williamsburg, Virginia are the big naval yards at

786
00:44:09,800 --> 00:44:14,399
Speaker 2: Newport News and Norfolk, so lots of shipbuilding going on there.

787
00:44:14,520 --> 00:44:17,520
Speaker 2: Almost had a Trump is in there, and I overheard

788
00:44:17,560 --> 00:44:20,719
Speaker 2: two guys talking about some of the problems they were

789
00:44:20,719 --> 00:44:25,120
Speaker 2: having getting a good personnel qualified young people to come

790
00:44:25,120 --> 00:44:28,239
Speaker 2: into the practice of Shipelton. Two guys just talking about

791
00:44:28,280 --> 00:44:30,400
Speaker 2: it over at Starbucks, and I, of course, because I

792
00:44:30,480 --> 00:44:33,920
Speaker 2: was rudely eavesdropping, I rudely interrupted and asked them and

793
00:44:34,000 --> 00:44:37,640
Speaker 2: asked this guy, who was a former US military guy,

794
00:44:37,680 --> 00:44:40,120
Speaker 2: what the problem was. He said, the problem for the

795
00:44:40,160 --> 00:44:41,840
Speaker 2: most part, I mean some of it has to do

796
00:44:41,880 --> 00:44:47,560
Speaker 2: with job training and making these jobs attractive for young people,

797
00:44:47,560 --> 00:44:49,520
Speaker 2: and I think they're working on that. But the other

798
00:44:49,560 --> 00:44:52,840
Speaker 2: part is permitting, and if they can't get the permits

799
00:44:52,880 --> 00:44:55,120
Speaker 2: to build these facilities, they can't get the permits to

800
00:44:55,120 --> 00:44:57,799
Speaker 2: build these shipyards. In fact, I think it was one

801
00:44:57,800 --> 00:44:59,840
Speaker 2: of the other gentlemen from AFP who came on yesterday

802
00:45:00,000 --> 00:45:04,080
Speaker 2: talking about this. He was just down in Alabama, Mississippi.

803
00:45:04,080 --> 00:45:07,760
Speaker 2: Wherever he was. They could turn around and start building

804
00:45:07,760 --> 00:45:10,840
Speaker 2: ships tomorrow if the permits would come through, it wouldn't

805
00:45:10,840 --> 00:45:14,960
Speaker 2: take longer. So hopefully part and parcel of all of

806
00:45:15,000 --> 00:45:17,960
Speaker 2: this is the President is moving down this road, is

807
00:45:18,000 --> 00:45:21,040
Speaker 2: the issue of permitting. Listen, in a moment, we're going

808
00:45:21,080 --> 00:45:23,600
Speaker 2: to continue this conversation. We're going to talk about what

809
00:45:23,680 --> 00:45:26,680
Speaker 2: Mark or Rubio had to say, what Pete Hegseth had

810
00:45:26,680 --> 00:45:29,640
Speaker 2: to say on Donald Trump. The President said something about

811
00:45:29,680 --> 00:45:32,440
Speaker 2: what we're doing with the oil and those Venezuelan ships

812
00:45:32,440 --> 00:45:36,120
Speaker 2: that we seized. I'm Andrew Langer in for Tony Katz today.

813
00:45:36,360 --> 00:45:39,520
Speaker 2: One of my favorites, to say the least, I'll actually

814
00:45:39,520 --> 00:45:42,560
Speaker 2: we're playing all of my favorites, all my favorite Christmas

815
00:45:42,560 --> 00:45:46,719
Speaker 2: songs today. This is I Believe in Father Christmas by

816
00:45:46,760 --> 00:45:50,560
Speaker 2: Emerson Lake and Palmer, just a great one. I know

817
00:45:50,600 --> 00:45:53,080
Speaker 2: it's kind of cynical, but I think it's very sweet.

818
00:45:53,080 --> 00:45:55,279
Speaker 2: At the end of the day, maybe I'll put up

819
00:45:55,320 --> 00:45:57,279
Speaker 2: the list. In fact, that's what I will do. Land

820
00:45:57,280 --> 00:45:59,600
Speaker 2: they'll remind me. In the same way that I pulled

821
00:45:59,640 --> 00:46:02,840
Speaker 2: the Tim Waltz's transcripts, which we'll get to in the

822
00:46:02,880 --> 00:46:07,000
Speaker 2: next hour, I will I will put up on Twitter

823
00:46:07,280 --> 00:46:09,920
Speaker 2: the list of Christmas songs that we that we played today.

824
00:46:10,360 --> 00:46:12,960
Speaker 2: We're back, guys. I'm Andrew Langer in for Tony Katz today,

825
00:46:13,040 --> 00:46:14,960
Speaker 2: so glad I could join you and you could join me.

826
00:46:15,000 --> 00:46:20,720
Speaker 2: We're talking about the president's announcement yesterday regarding these new ships,

827
00:46:20,760 --> 00:46:24,000
Speaker 2: these the large battleships that he's building that are going

828
00:46:24,040 --> 00:46:27,840
Speaker 2: to be chocolate block full of the latest weapons, hypersonic weapons,

829
00:46:28,120 --> 00:46:32,040
Speaker 2: other kinds of weapons, the one hundred times the lethality,

830
00:46:32,920 --> 00:46:35,040
Speaker 2: which is the way it's supposed to be. They're supposed

831
00:46:35,040 --> 00:46:39,880
Speaker 2: to be more stealthy and they're supposed to have greater lethality.

832
00:46:40,160 --> 00:46:43,080
Speaker 2: And by the way, this is important because no matter

833
00:46:43,080 --> 00:46:46,480
Speaker 2: how you slice it, the old rules of warfare are

834
00:46:46,480 --> 00:46:50,799
Speaker 2: still applied now I talk about what I you know,

835
00:46:50,880 --> 00:46:53,640
Speaker 2: the doctrine that all warfare is ground warfare, and I

836
00:46:53,680 --> 00:46:55,239
Speaker 2: think that that's true at the end of the day.

837
00:46:56,400 --> 00:46:57,959
Speaker 2: You know, even as someone who is an air force

838
00:46:58,040 --> 00:47:01,279
Speaker 2: dependent and knowing the relationship of Indiana to the air force,

839
00:47:01,440 --> 00:47:05,239
Speaker 2: I understand this. But we still need to be able

840
00:47:05,239 --> 00:47:07,960
Speaker 2: to project power over the horizon on ships. We need

841
00:47:08,000 --> 00:47:11,320
Speaker 2: to be able to protect our shipping lanes. Naval power

842
00:47:12,080 --> 00:47:15,360
Speaker 2: is going to remain essential in the way that a

843
00:47:15,400 --> 00:47:19,400
Speaker 2: guy named Albert Thayer Mahan wrote about this in the

844
00:47:19,480 --> 00:47:23,880
Speaker 2: nineteenth century The Influence of Seapower upon History, then supplanted

845
00:47:23,920 --> 00:47:26,160
Speaker 2: by a guy named Alexander de Severski in the twentieth

846
00:47:26,200 --> 00:47:29,879
Speaker 2: century talking about air power the book Airpower The Key

847
00:47:29,880 --> 00:47:33,319
Speaker 2: to Survival. All of these things are important. So the

848
00:47:33,480 --> 00:47:36,759
Speaker 2: US making sure that we are superior on land, in

849
00:47:36,880 --> 00:47:40,799
Speaker 2: the air, and on the seas is vital. And in fact,

850
00:47:41,000 --> 00:47:44,359
Speaker 2: let's go to our Secretary of War, Pete Hegseth. Here's

851
00:47:44,400 --> 00:47:45,960
Speaker 2: what he had to say. Let's pay cut twenty.

852
00:47:45,760 --> 00:47:50,640
Speaker 18: Six and uncontested new and better ships will provide that

853
00:47:50,760 --> 00:47:53,439
Speaker 18: deterrent today and for generations to come.

854
00:47:53,760 --> 00:47:55,440
Speaker 12: This new class, these.

855
00:47:55,280 --> 00:47:58,239
Speaker 18: New investments will be the types of things that for decades,

856
00:47:58,760 --> 00:48:01,920
Speaker 18: for centuries, could people will look back and thank President

857
00:48:01,960 --> 00:48:04,640
Speaker 18: Trump for having the vision and the willingness to invest

858
00:48:04,800 --> 00:48:08,400
Speaker 18: right now in capabilities we need today, tomorrow and long

859
00:48:08,719 --> 00:48:10,920
Speaker 18: into the future. So, miss President, thank you for this investment,

860
00:48:11,080 --> 00:48:13,000
Speaker 18: and I'll hand it over now to the Navy sector.

861
00:48:15,760 --> 00:48:15,960
Speaker 1: Yeah.

862
00:48:15,960 --> 00:48:21,000
Speaker 2: I didn't pull the knaps comments there, but the reality

863
00:48:21,120 --> 00:48:24,319
Speaker 2: is that, Yeah, listener, is it going to be multi generalation,

864
00:48:24,640 --> 00:48:29,080
Speaker 2: multi generational? Probably? Is it going to be as seminal

865
00:48:29,680 --> 00:48:32,680
Speaker 2: as as? As I said? You know, we're talking about

866
00:48:32,719 --> 00:48:37,080
Speaker 2: the work of Albert theaer Mahan, you know, almost two

867
00:48:37,080 --> 00:48:39,680
Speaker 2: centuries later, at least a century and a half later

868
00:48:39,800 --> 00:48:45,040
Speaker 2: date Severski. We're talking about and the various advocates for

869
00:48:45,160 --> 00:48:48,520
Speaker 2: air power in the use of military force, you know,

870
00:48:48,600 --> 00:48:54,520
Speaker 2: a century later. Billy Mitchell is the prime example. But

871
00:48:54,719 --> 00:48:58,400
Speaker 2: you know, we're still talking about those guys. Whether or

872
00:48:58,440 --> 00:49:00,880
Speaker 2: not this rises to that life, I don't know. I

873
00:49:00,880 --> 00:49:03,279
Speaker 2: think I would need to see the ships. It does

874
00:49:03,360 --> 00:49:06,560
Speaker 2: remind me if anybody's out there looking to get me

875
00:49:06,600 --> 00:49:10,799
Speaker 2: something for Christmas, I do. I meant to ask for

876
00:49:11,600 --> 00:49:15,040
Speaker 2: a reup of my subscription to Proceedings, the magazine of

877
00:49:15,040 --> 00:49:17,000
Speaker 2: the US Naval Institute, because I'm not much of a

878
00:49:17,040 --> 00:49:22,400
Speaker 2: weird nerd that way. Marco Rubio spoke yesterday. It remains

879
00:49:22,440 --> 00:49:24,680
Speaker 2: to be seen, you know, what happens between Rubio and

880
00:49:24,800 --> 00:49:27,160
Speaker 2: Vance going into twenty twenty eight. Yes, we're starting to

881
00:49:27,160 --> 00:49:30,200
Speaker 2: talk about that already, but I always love listening to

882
00:49:30,200 --> 00:49:33,719
Speaker 2: Marco Rubio speak. Here he is talking about of the

883
00:49:33,760 --> 00:49:36,520
Speaker 2: economic implications. Let's play cut twenty five.

884
00:49:37,000 --> 00:49:40,640
Speaker 19: This is American industrial power returning. This is the ability

885
00:49:40,680 --> 00:49:44,320
Speaker 19: once again to rebuild, to have industry in the United States.

886
00:49:45,080 --> 00:49:47,920
Speaker 19: This is generational in the change, not just in terms

887
00:49:47,920 --> 00:49:50,319
Speaker 19: of applying American war power, increasing our.

888
00:49:50,280 --> 00:49:51,479
Speaker 2: Ability to protect the sees.

889
00:49:51,520 --> 00:49:54,640
Speaker 19: The US Navy is the single biggest source of peace

890
00:49:55,040 --> 00:49:56,879
Speaker 19: in the world of all of our forces because it

891
00:49:56,920 --> 00:50:00,640
Speaker 19: gives us a global footprint, but it rebuilds American industry capacity.

892
00:50:00,680 --> 00:50:01,800
Speaker 2: The ability to make.

893
00:50:01,640 --> 00:50:04,359
Speaker 19: Things again in our country has been critical to what

894
00:50:04,400 --> 00:50:06,279
Speaker 19: the President's agenda has been all about. And this is

895
00:50:06,280 --> 00:50:08,720
Speaker 19: a tangible reminder of it, and I know the country

896
00:50:08,800 --> 00:50:09,360
Speaker 19: is grateful for it.

897
00:50:09,440 --> 00:50:12,680
Speaker 2: In generations of Americans will be grateful for it. Now,

898
00:50:12,680 --> 00:50:14,839
Speaker 2: I will say this much. You know, going back on

899
00:50:14,880 --> 00:50:17,799
Speaker 2: this issue of the Jones Act, which is more than

900
00:50:17,840 --> 00:50:22,960
Speaker 2: a century old, and there is lots of discussion about

901
00:50:23,000 --> 00:50:25,759
Speaker 2: whether or not to repeal the Jones Act, what does

902
00:50:25,840 --> 00:50:30,080
Speaker 2: it do right? And again, the idea was to protect

903
00:50:30,520 --> 00:50:34,480
Speaker 2: the America's shipbuilding industry. I think it hasn't been the

904
00:50:34,480 --> 00:50:36,759
Speaker 2: greatest of jobs of that, but because of all kinds

905
00:50:36,800 --> 00:50:40,959
Speaker 2: of outside influences, and then to deal with the issue

906
00:50:41,000 --> 00:50:44,880
Speaker 2: of national security. So I'm not someone and I've you know,

907
00:50:45,120 --> 00:50:47,200
Speaker 2: I've had a bit of a change of heart over

908
00:50:47,239 --> 00:50:51,000
Speaker 2: the years on this issue, not the least of which

909
00:50:51,080 --> 00:50:55,719
Speaker 2: is because I recognize that if China, for instance, is

910
00:50:55,760 --> 00:50:59,920
Speaker 2: our greatest geopolitical threat, and I think it is, I

911
00:51:00,080 --> 00:51:05,040
Speaker 2: think when it comes to naval power and surveillance, China

912
00:51:05,120 --> 00:51:07,839
Speaker 2: is certainly our greatest threat in that regard. At least

913
00:51:07,880 --> 00:51:12,560
Speaker 2: these days, we don't want Chinese merchant ships sailing up

914
00:51:12,800 --> 00:51:16,680
Speaker 2: the Mississippi River, right There are tens of thousands of

915
00:51:16,719 --> 00:51:21,640
Speaker 2: coastline in the United States. So the idea that you know, China,

916
00:51:22,040 --> 00:51:24,600
Speaker 2: and we know that essentially there is no real private

917
00:51:24,600 --> 00:51:26,640
Speaker 2: industry in China. It's all co opted by the Chinese

918
00:51:26,680 --> 00:51:31,319
Speaker 2: Communist Party. That if there were Chinese merchant vessels given

919
00:51:31,320 --> 00:51:33,960
Speaker 2: permission to sail up and down the Mississippi River. You

920
00:51:34,000 --> 00:51:37,680
Speaker 2: can bet that either a certain portion of every ship's

921
00:51:39,400 --> 00:51:45,400
Speaker 2: electronic complement would be given over to some kind of

922
00:51:45,640 --> 00:51:49,080
Speaker 2: surveillance across the board. So you know, we have that

923
00:51:49,160 --> 00:51:50,800
Speaker 2: part of the Jones Act, right, there is the national

924
00:51:50,840 --> 00:51:54,560
Speaker 2: security aspect of it. But there is this issue, of course,

925
00:51:55,440 --> 00:52:02,680
Speaker 2: of the promise of maintaining America's shipbuilding industry, and where

926
00:52:02,760 --> 00:52:04,760
Speaker 2: the Jones Act. And I wouldn't call this a Jones

927
00:52:04,800 --> 00:52:08,680
Speaker 2: Act failure. The failure is because we didn't deal with

928
00:52:08,719 --> 00:52:10,960
Speaker 2: all of the other issues. Whether as I said, it's

929
00:52:11,000 --> 00:52:14,240
Speaker 2: the issue of permitting reform right making it more difficult

930
00:52:14,520 --> 00:52:19,040
Speaker 2: to build the facilities or maintain the facilities that both

931
00:52:19,080 --> 00:52:25,960
Speaker 2: manufacture and repair ships. And then the regulations, whether labor

932
00:52:26,080 --> 00:52:29,400
Speaker 2: or otherwise. And again I'm not saying, and you just

933
00:52:29,560 --> 00:52:32,759
Speaker 2: make sure you're not bastardizing my words here. I'm not

934
00:52:32,800 --> 00:52:36,279
Speaker 2: saying we need no regulation. I'm simply saying that we

935
00:52:36,360 --> 00:52:39,640
Speaker 2: have to recognize that regulation has a cost. That when

936
00:52:39,640 --> 00:52:43,040
Speaker 2: you're Joe Biden and you add one point eight trillion

937
00:52:43,120 --> 00:52:45,400
Speaker 2: dollars of new regulatory cost in the four years of

938
00:52:45,440 --> 00:52:49,000
Speaker 2: your term, that has an impact on the US economy.

939
00:52:49,360 --> 00:52:52,080
Speaker 2: Who knows how Joe Biden's economy could have come back

940
00:52:52,320 --> 00:52:55,719
Speaker 2: in the post COVID world had he simply not hit

941
00:52:55,800 --> 00:53:00,239
Speaker 2: the gas pedal more so harder than his predecessor, Barack

942
00:53:00,280 --> 00:53:05,680
Speaker 2: Obama had. Right, Barack Obama, you know, nearly double the

943
00:53:05,719 --> 00:53:08,080
Speaker 2: cost of regulation, but it took him eight years to

944
00:53:08,120 --> 00:53:10,040
Speaker 2: do that. Joe Biden was going to do it in

945
00:53:10,120 --> 00:53:14,320
Speaker 2: four years. You know, when we talk about Donald Trump

946
00:53:14,360 --> 00:53:17,680
Speaker 2: as a so called fascist or an authoritarian, to me,

947
00:53:17,800 --> 00:53:23,399
Speaker 2: the measure is in the concentrated federal power. And if

948
00:53:23,400 --> 00:53:26,240
Speaker 2: you're trying to devolve that power, or shorten that power,

949
00:53:26,520 --> 00:53:29,840
Speaker 2: or narrow that power in some way, it's the anti

950
00:53:29,880 --> 00:53:35,759
Speaker 2: authoritarian that is actually coming out. By the way, you

951
00:53:35,760 --> 00:53:38,920
Speaker 2: always want to have a conversation with a progressive in

952
00:53:38,960 --> 00:53:41,560
Speaker 2: which they then will turn around and argue that being

953
00:53:41,600 --> 00:53:45,040
Speaker 2: anti regulation is actually being more authoritarian, which is an

954
00:53:45,080 --> 00:53:49,040
Speaker 2: insane way of looking at the world. By the way,

955
00:53:49,719 --> 00:53:56,480
Speaker 2: talking about seizing things in authority, Trump was taking a

956
00:53:56,560 --> 00:54:00,799
Speaker 2: queue from the movie Clear and Present Danger. You might

957
00:54:00,840 --> 00:54:02,920
Speaker 2: remember a major plot point was the president of the

958
00:54:03,000 --> 00:54:07,200
Speaker 2: United States. When a drug smuggling boat was seized or

959
00:54:07,239 --> 00:54:11,239
Speaker 2: drug proceeds were seized, he declared to Harrison Ford's Jack

960
00:54:11,320 --> 00:54:13,960
Speaker 2: Ryan tell them it's our money. We're seizing it, we're

961
00:54:14,000 --> 00:54:14,320
Speaker 2: keeping it.

962
00:54:16,320 --> 00:54:16,440
Speaker 11: Uh.

963
00:54:17,080 --> 00:54:20,440
Speaker 2: The President said this yesterday. Let's play cut twenty seven,

964
00:54:20,840 --> 00:54:23,440
Speaker 2: speaking of Venezuela. What are we going to do with

965
00:54:23,480 --> 00:54:25,359
Speaker 2: the oil that we have? I'm going to do with

966
00:54:25,360 --> 00:54:27,040
Speaker 2: what the oil that has been seized?

967
00:54:27,400 --> 00:54:30,520
Speaker 3: The United States sees one point nine million barrels of

968
00:54:30,560 --> 00:54:31,839
Speaker 3: oil on December tenth.

969
00:54:31,840 --> 00:54:35,279
Speaker 2: We're gonna keep it. We're keeping Where's are we going

970
00:54:35,360 --> 00:54:37,120
Speaker 2: to sell it? A put in the strategic Maybe we'll

971
00:54:37,120 --> 00:54:38,359
Speaker 2: sell it and maybe we'll keep it.

972
00:54:38,920 --> 00:54:42,319
Speaker 17: Maybe we'll use it in the strategic reserves. We're keeping it.

973
00:54:42,600 --> 00:54:46,239
Speaker 2: We're keeping the ship show stuff. Yeah, you know something. Listen,

974
00:54:46,280 --> 00:54:48,600
Speaker 2: I say we do it. I say, I say you

975
00:54:48,600 --> 00:54:50,799
Speaker 2: do I say, yeah, you make sure the ships are safe.

976
00:54:50,800 --> 00:54:53,719
Speaker 2: You sell the ships off to American companies.

977
00:54:54,120 --> 00:54:54,239
Speaker 11: Uh.

978
00:54:54,320 --> 00:54:56,920
Speaker 2: But yeah, you know something. Let's let's put that oil

979
00:54:57,280 --> 00:55:00,840
Speaker 2: in the Strategic Oil Reserve and make up for what

980
00:55:01,840 --> 00:55:05,120
Speaker 2: Joe Biden. What Joe Biden siphoned off as a way

981
00:55:05,120 --> 00:55:08,560
Speaker 2: of trying to artificially keep gas prices down. Jasmine Crockett

982
00:55:08,560 --> 00:55:10,680
Speaker 2: would have loved that, by the way, you know, Joe

983
00:55:10,680 --> 00:55:13,600
Speaker 2: Biden using US government power and subsidies to try to

984
00:55:13,640 --> 00:55:17,000
Speaker 2: manipulate a market that he was single handedly ruining. Sure,

985
00:55:18,239 --> 00:55:20,560
Speaker 2: I'm you know, let's if we're gonna do it, let's

986
00:55:20,760 --> 00:55:23,440
Speaker 2: let's go and do it to our benefit. So listen,

987
00:55:23,680 --> 00:55:26,920
Speaker 2: we're gonna turn our attention to healthcare policy again. We're

988
00:55:26,920 --> 00:55:29,880
Speaker 2: gonna be joined by Lauren Stewart. She's with Americans for Prosperity,

989
00:55:29,960 --> 00:55:34,960
Speaker 2: also Concerned Veterans of America. Later on in the show,

990
00:55:35,400 --> 00:55:38,960
Speaker 2: we got Tom Schatz from Citizens Against Government Waste joining us.

991
00:55:39,080 --> 00:55:42,520
Speaker 2: You want to reach out at Andrew Underscore Langer on Twitter.

992
00:55:42,560 --> 00:55:45,480
Speaker 2: I'm Andrew langer In for Tony Kats. This is Tony

993
00:55:45,680 --> 00:55:52,640
Speaker 2: Katz today. We are back, ladies and gentlemen to the

994
00:55:52,800 --> 00:55:56,279
Speaker 2: sound of the Kings. I'm Andrew langer In for Tony

995
00:55:56,320 --> 00:55:58,480
Speaker 2: Kats today. So lead, I can join you and you

996
00:55:58,560 --> 00:56:01,279
Speaker 2: can join me. We can all join each other on

997
00:56:01,320 --> 00:56:04,480
Speaker 2: this Christmas Eve eve joining all of us right now.

998
00:56:04,520 --> 00:56:09,719
Speaker 2: Her name is Lauren Stewart. She is with Well, she's

999
00:56:09,760 --> 00:56:14,759
Speaker 2: with Concerned Veterans of America. She's with Americans for Prosperity,

1000
00:56:15,840 --> 00:56:18,760
Speaker 2: and she does a lot of work on healthcare. Lauren, listen,

1001
00:56:18,880 --> 00:56:21,040
Speaker 2: thanks for coming on. Really appreciate it. Let's start there.

1002
00:56:22,360 --> 00:56:24,080
Speaker 14: Thank you for having me, happy to be here.

1003
00:56:24,560 --> 00:56:27,080
Speaker 2: Good night, chimpians. That's a tough week for this. I

1004
00:56:27,120 --> 00:56:30,319
Speaker 2: want to start here. Earlier on in the show, we

1005
00:56:30,360 --> 00:56:33,440
Speaker 2: played a bit of Jasmine Crockett. Jasmincrockett was on ms

1006
00:56:33,480 --> 00:56:36,520
Speaker 2: NOW or as I'm now calling it em snow yesterday

1007
00:56:37,040 --> 00:56:41,719
Speaker 2: talking about her authenticity. She was asked about policies and

1008
00:56:41,800 --> 00:56:45,520
Speaker 2: she had this to say about taxes and subsidies. I

1009
00:56:45,560 --> 00:56:47,600
Speaker 2: know it's a bit of word soul, Lauren, but let

1010
00:56:47,600 --> 00:56:48,880
Speaker 2: me see if you can noodle this through with me.

1011
00:56:48,960 --> 00:56:50,200
Speaker 2: Let's pick out number nine Landon.

1012
00:56:50,520 --> 00:56:52,600
Speaker 7: You know that there were a lot of working class people.

1013
00:56:53,040 --> 00:56:55,759
Speaker 7: We have somehow decided that in this country we were

1014
00:56:55,840 --> 00:56:59,920
Speaker 7: okay with two senators from Texas voting to make texcaus

1015
00:57:00,120 --> 00:57:03,120
Speaker 7: or billionaires permanent, while at the same time not being

1016
00:57:03,160 --> 00:57:06,960
Speaker 7: okay with making sure the text subsidies are that are

1017
00:57:07,000 --> 00:57:09,320
Speaker 7: temporary are available as a release of healthcare.

1018
00:57:10,280 --> 00:57:15,000
Speaker 2: So she at least admits there, Lauren, that the Obamacare subsidies,

1019
00:57:15,040 --> 00:57:17,120
Speaker 2: I'm assuming that's what she was talking about. The Obamacare

1020
00:57:17,160 --> 00:57:20,880
Speaker 2: subsidies were supposed to be temporary, and yet she's angry

1021
00:57:20,960 --> 00:57:24,480
Speaker 2: that they weren't made temporary again, can you help help

1022
00:57:24,560 --> 00:57:25,840
Speaker 2: us noodle this through?

1023
00:57:27,160 --> 00:57:28,280
Speaker 13: Yeah, absolutely so.

1024
00:57:28,400 --> 00:57:31,240
Speaker 14: Number one, she calls them tact subsidies, which I think

1025
00:57:31,360 --> 00:57:35,880
Speaker 14: are hilarious. Anytimes people refer to the enhanced premium tax credits,

1026
00:57:35,880 --> 00:57:38,280
Speaker 14: that is what they're called. But how regular tax credits

1027
00:57:38,400 --> 00:57:43,520
Speaker 14: work is the tax benefit goes directly to the individual

1028
00:57:43,640 --> 00:57:44,200
Speaker 14: or the person.

1029
00:57:44,600 --> 00:57:46,520
Speaker 2: The way these subsidies.

1030
00:57:45,920 --> 00:57:49,560
Speaker 14: Work is billions of dollars from the United States Treasury

1031
00:57:49,760 --> 00:57:54,520
Speaker 14: funnel into the profits and pocketbooks of health insurance and

1032
00:57:54,600 --> 00:57:57,400
Speaker 14: then from there they decide, you know, who's doctor you

1033
00:57:57,440 --> 00:58:00,640
Speaker 14: can go, see what type of coverage they will allow

1034
00:58:00,760 --> 00:58:03,280
Speaker 14: you so and you know, to her point, yes, these

1035
00:58:03,280 --> 00:58:06,880
Speaker 14: were temporary. They were put in place during COVID nineteen.

1036
00:58:06,920 --> 00:58:09,800
Speaker 14: Not a single Republican was a part in creating them,

1037
00:58:10,080 --> 00:58:12,080
Speaker 14: voted for them, and they actually didn't vote for their

1038
00:58:12,120 --> 00:58:16,280
Speaker 14: exploration either. Democrats set the exploration on these. So it's

1039
00:58:16,440 --> 00:58:18,880
Speaker 14: hilarious when they try to make Republicans own that issue.

1040
00:58:18,920 --> 00:58:21,000
Speaker 14: You can go on Congress dot com and see not

1041
00:58:21,120 --> 00:58:23,560
Speaker 14: a single one of them had anything to do with

1042
00:58:23,760 --> 00:58:27,320
Speaker 14: these enhanced subsidies. Now, when they talk about working class

1043
00:58:27,360 --> 00:58:31,360
Speaker 14: Americans getting these subsidies, it's also laughable because the enhanced

1044
00:58:31,400 --> 00:58:34,680
Speaker 14: premium tax credit, so it's those you know, temporary when

1045
00:58:34,720 --> 00:58:38,920
Speaker 14: she was speaking about actually removed any income verification and

1046
00:58:39,200 --> 00:58:43,960
Speaker 14: raise eligibility for pre taxpayer funded health insurance to not

1047
00:58:44,120 --> 00:58:48,240
Speaker 14: working class Americans to wealthy and upper class Americans.

1048
00:58:48,280 --> 00:58:49,600
Speaker 2: So that's not.

1049
00:58:49,640 --> 00:58:53,640
Speaker 14: Actually the situation here at play. I know she's probably

1050
00:58:53,680 --> 00:58:55,880
Speaker 14: a little bit removed from Washington. The way she talks

1051
00:58:55,880 --> 00:58:59,640
Speaker 14: about policy is not super clear, very rarely accurate, and

1052
00:59:00,200 --> 00:59:03,320
Speaker 14: she was right on the temporary front, but it is

1053
00:59:03,440 --> 00:59:06,440
Speaker 14: just a complete false narrative that she's driving in terms

1054
00:59:06,480 --> 00:59:10,960
Speaker 14: of these enhanced premium tax credits. Look, Obamacare is going

1055
00:59:11,000 --> 00:59:13,720
Speaker 14: to go back to what President Obama intended it to

1056
00:59:13,760 --> 00:59:17,640
Speaker 14: be come January first when these expire, and Democrats who

1057
00:59:17,840 --> 00:59:20,760
Speaker 14: have an issue with that, you know, make me chuckle

1058
00:59:20,760 --> 00:59:21,240
Speaker 14: a little bit.

1059
00:59:22,000 --> 00:59:24,480
Speaker 2: So, you know, it's interesting because we talk about this

1060
00:59:24,560 --> 00:59:27,640
Speaker 2: issue of the money going directly into the pockets of

1061
00:59:27,680 --> 00:59:31,480
Speaker 2: the big insurance companies, right, and the Progressives are I

1062
00:59:31,480 --> 00:59:35,480
Speaker 2: guess anti corporation unless they're the health insurance companies that

1063
00:59:35,520 --> 00:59:38,920
Speaker 2: they already hate. I would I would think that they

1064
00:59:38,920 --> 00:59:42,800
Speaker 2: would want a patient centric situation in which you know,

1065
00:59:42,920 --> 00:59:45,440
Speaker 2: individuals are getting this money. I mean, I'm not a

1066
00:59:45,480 --> 00:59:47,760
Speaker 2: big fan of that either. I guess it's a better

1067
00:59:48,000 --> 00:59:50,640
Speaker 2: it's a better model, But talk about what a patient

1068
00:59:50,760 --> 00:59:52,840
Speaker 2: centric approach to all of this would be.

1069
00:59:54,160 --> 00:59:58,200
Speaker 14: Absolutely so, it's basically the type of healthcare that really

1070
00:59:58,200 --> 01:00:00,920
Speaker 14: wealthy folks in Hollywood have. Right, they're in the driver's

1071
01:00:00,920 --> 01:00:03,840
Speaker 14: seat of their healthcare. They're not waiting at so much

1072
01:00:03,920 --> 01:00:06,360
Speaker 14: as twenty four hours to be treated for something as

1073
01:00:06,400 --> 01:00:10,360
Speaker 14: minor as a hangover. Right, it is increased access and

1074
01:00:10,400 --> 01:00:13,760
Speaker 14: it's increased quality, removing all the red tape and bureaucracy

1075
01:00:13,840 --> 01:00:17,160
Speaker 14: between the patient and the doctor, between the family, and

1076
01:00:17,200 --> 01:00:21,360
Speaker 14: the decision making on what route of care, what route

1077
01:00:21,400 --> 01:00:23,960
Speaker 14: of health coverage is best for them.

1078
01:00:24,000 --> 01:00:25,600
Speaker 13: Look at Americans for prosperity.

1079
01:00:25,680 --> 01:00:28,920
Speaker 14: We think every American should have a personal option in

1080
01:00:28,960 --> 01:00:32,280
Speaker 14: their healthcare, not a single payer option, not a public option,

1081
01:00:32,320 --> 01:00:35,120
Speaker 14: because healthcare is personal. Right, what works for me doesn't

1082
01:00:35,160 --> 01:00:37,800
Speaker 14: necessarily work for my parents, or my younger brother or

1083
01:00:37,840 --> 01:00:38,560
Speaker 14: my neighbor.

1084
01:00:38,280 --> 01:00:39,080
Speaker 13: Across the street.

1085
01:00:39,520 --> 01:00:41,840
Speaker 14: But you should be able to be in the driver's

1086
01:00:41,840 --> 01:00:43,880
Speaker 14: seat of your healthcare. And the way you do that

1087
01:00:44,120 --> 01:00:47,720
Speaker 14: is by having control over the dollars you spend on healthcare.

1088
01:00:48,000 --> 01:00:50,840
Speaker 13: Golden rules. Right, you as the goal makes the rules.

1089
01:00:50,840 --> 01:00:54,880
Speaker 14: And right now, in American healthcare, there's about five large

1090
01:00:54,880 --> 01:00:57,360
Speaker 14: insurers that have all of the money in healthcare, and

1091
01:00:57,400 --> 01:00:58,760
Speaker 14: they make the rules we need to do.

1092
01:01:00,320 --> 01:01:02,520
Speaker 2: In most states, it's two insurance companies that have like

1093
01:01:02,560 --> 01:01:03,479
Speaker 2: eighty percent of the market.

1094
01:01:03,600 --> 01:01:08,760
Speaker 14: Right absolutely, especially blue states where the health insurance market

1095
01:01:08,800 --> 01:01:12,720
Speaker 14: has become super consolidated. I grew up in Massachusetts. That's

1096
01:01:12,760 --> 01:01:13,560
Speaker 14: exactly how it.

1097
01:01:13,480 --> 01:01:14,160
Speaker 13: Is in there.

1098
01:01:14,200 --> 01:01:17,280
Speaker 14: There's little to no options there and it's even more

1099
01:01:17,320 --> 01:01:18,960
Speaker 14: dismal than the regular ACA.

1100
01:01:19,520 --> 01:01:22,160
Speaker 2: We're talking with Laurence Stewart. She's the senior legislative affairs

1101
01:01:22,240 --> 01:01:24,760
Speaker 2: liaison for Americans for Prosperity. She also does work for

1102
01:01:24,800 --> 01:01:26,800
Speaker 2: Concerned Veterans of America. I mean, would one of the

1103
01:01:26,880 --> 01:01:31,920
Speaker 2: simplest fixes here would be to allow allow for the

1104
01:01:32,000 --> 01:01:36,720
Speaker 2: use of this money for HSA's health savings accounts, which

1105
01:01:36,720 --> 01:01:39,920
Speaker 2: has pretty much been restricted via the Obamacare the various

1106
01:01:39,920 --> 01:01:43,200
Speaker 2: Obamacare penalties that are out there. I mean, that's a

1107
01:01:43,280 --> 01:01:46,760
Speaker 2: very simple and straightforward fix. How would that impact this marketplace?

1108
01:01:48,400 --> 01:01:51,840
Speaker 14: Well, anything that you use your health savings account for,

1109
01:01:52,000 --> 01:01:54,280
Speaker 14: you can already consider that you're getting it at a

1110
01:01:54,360 --> 01:01:56,280
Speaker 14: fifteen to twenty percent discount.

1111
01:01:56,680 --> 01:01:58,520
Speaker 13: Additionally, when you call.

1112
01:01:58,400 --> 01:02:00,640
Speaker 14: Somewhere and say you are self paid for something like

1113
01:02:00,680 --> 01:02:03,160
Speaker 14: an MRI or a cat scan or things that takes

1114
01:02:03,160 --> 01:02:06,520
Speaker 14: pre authorization from an insurance company, you're able to get

1115
01:02:06,560 --> 01:02:10,440
Speaker 14: access to care much quicker. So the cost and quality

1116
01:02:10,560 --> 01:02:15,080
Speaker 14: of healthcare instantly goes up, especially you know, for regular

1117
01:02:15,120 --> 01:02:16,160
Speaker 14: focus on private insurance.

1118
01:02:16,160 --> 01:02:18,840
Speaker 13: But if you're someone who's enrolled in the.

1119
01:02:19,080 --> 01:02:22,000
Speaker 14: ACA marketplace, which by the way, is not a large

1120
01:02:22,040 --> 01:02:24,320
Speaker 14: portion of the country, and that's what we're swooped up

1121
01:02:24,320 --> 01:02:26,960
Speaker 14: by a lot of the healthcare debate. Really it's employees,

1122
01:02:27,000 --> 01:02:30,439
Speaker 14: slaunsored insurance, private insurance, independent contractors, right, that's where most

1123
01:02:30,480 --> 01:02:33,120
Speaker 14: of us live. But if you are in the ACA,

1124
01:02:33,240 --> 01:02:36,280
Speaker 14: an HSA is especially helpful for you because year after

1125
01:02:36,400 --> 01:02:41,000
Speaker 14: year we see those marketplaces and provider networks continue to shrink.

1126
01:02:41,120 --> 01:02:44,200
Speaker 14: So you're told, you know, you have less access to

1127
01:02:44,480 --> 01:02:47,000
Speaker 14: these type of doctors, this specific doctor won't take this,

1128
01:02:47,120 --> 01:02:51,360
Speaker 14: same with Medicare Medicaid, right, So it just drastically increases

1129
01:02:51,480 --> 01:02:54,000
Speaker 14: the quality of healthcare a patient or a family is

1130
01:02:54,040 --> 01:02:56,919
Speaker 14: able to get and really puts you in the driver's seat.

1131
01:02:56,960 --> 01:03:00,520
Speaker 14: It's something we're a grassroots organization right where in the ware,

1132
01:03:00,680 --> 01:03:04,320
Speaker 14: all over the place. When we talk to voters about HSA,

1133
01:03:04,600 --> 01:03:07,920
Speaker 14: it's something that holds above eighty percent. And anyway we

1134
01:03:07,960 --> 01:03:10,440
Speaker 14: ask it, do you think all Americans should have access

1135
01:03:10,480 --> 01:03:12,320
Speaker 14: to one? If they want one? Would you think it'd

1136
01:03:12,320 --> 01:03:15,480
Speaker 14: be beneficial for your family? It is the true eighty

1137
01:03:15,520 --> 01:03:17,240
Speaker 14: twenty issue in healthcare.

1138
01:03:17,120 --> 01:03:19,640
Speaker 2: Here's what I know. I know that when you have

1139
01:03:19,880 --> 01:03:24,000
Speaker 2: health goods, healthcare goods, and healthcare services that you are

1140
01:03:24,080 --> 01:03:27,160
Speaker 2: paying for on the open market, it's those areas in

1141
01:03:27,200 --> 01:03:31,960
Speaker 2: which you get you know, the marketplace action of getting

1142
01:03:31,960 --> 01:03:34,360
Speaker 2: things to be more innovative and greater competition.

1143
01:03:34,760 --> 01:03:34,880
Speaker 18: Right.

1144
01:03:34,920 --> 01:03:36,360
Speaker 2: The example I like to use is, for the for

1145
01:03:36,360 --> 01:03:39,560
Speaker 2: the longest time, you couldn't do laser eye surgery with

1146
01:03:39,600 --> 01:03:42,440
Speaker 2: your health insurance. You would have to use some form

1147
01:03:42,480 --> 01:03:46,120
Speaker 2: of a health savings account. Flex Benefits account was the

1148
01:03:46,160 --> 01:03:48,520
Speaker 2: one of the versions of this. And what happened is

1149
01:03:48,520 --> 01:03:52,200
Speaker 2: that is that the technology got better and the cost

1150
01:03:52,280 --> 01:03:56,680
Speaker 2: went down, and the services began to proliferate, so you

1151
01:03:56,680 --> 01:04:00,800
Speaker 2: could find it everywhere, less expensive and much more safe.

1152
01:04:01,160 --> 01:04:03,480
Speaker 2: Why can't we have that, you know, apply to other

1153
01:04:03,600 --> 01:04:06,080
Speaker 2: kinds of medical services. Well, part of it is because

1154
01:04:06,120 --> 01:04:09,880
Speaker 2: of this this system that we have created, isn't it.

1155
01:04:11,000 --> 01:04:11,920
Speaker 14: That's absolutely right.

1156
01:04:12,000 --> 01:04:14,200
Speaker 13: I mean, all the benefits that we're talking about with health.

1157
01:04:14,080 --> 01:04:17,440
Speaker 14: Saving accounts, only about fifteen percent of the entire population

1158
01:04:17,480 --> 01:04:20,320
Speaker 14: in the United States right now has the option to

1159
01:04:20,440 --> 01:04:23,000
Speaker 14: have a health savings account. So again, that is the

1160
01:04:23,120 --> 01:04:27,080
Speaker 14: option to use your own act a managed money to

1161
01:04:27,200 --> 01:04:30,360
Speaker 14: pay for qualified medical expenses. So it is a tremendous

1162
01:04:30,400 --> 01:04:32,640
Speaker 14: benefit that right now is regulated out of the hands

1163
01:04:32,640 --> 01:04:35,480
Speaker 14: of so many Americans. Because the other side of the

1164
01:04:35,520 --> 01:04:38,160
Speaker 14: issue is really driving towards a single payer it's not

1165
01:04:38,280 --> 01:04:41,640
Speaker 14: driving towards the personal option. Everybody having their HSA right

1166
01:04:41,760 --> 01:04:43,760
Speaker 14: is the complete opposite of single payer.

1167
01:04:43,800 --> 01:04:45,760
Speaker 13: It's millions and millions of payers.

1168
01:04:46,440 --> 01:04:48,120
Speaker 14: So that's the other side of the argument, and that's

1169
01:04:48,160 --> 01:04:50,160
Speaker 14: where you know things have been caught up. But I

1170
01:04:50,160 --> 01:04:53,400
Speaker 14: think the President's messaging on this and HFAs and f

1171
01:04:53,440 --> 01:04:56,880
Speaker 14: fas becoming more prominent in the marketing, the marketplace is

1172
01:04:57,360 --> 01:04:59,720
Speaker 14: beginning to bring this to the forefront and it's something

1173
01:04:59,720 --> 01:05:02,480
Speaker 14: that's undeniable in terms of the minds of voters.

1174
01:05:02,840 --> 01:05:05,080
Speaker 2: There you go, well, listen, Lauren, how do we find

1175
01:05:05,080 --> 01:05:06,880
Speaker 2: out more about the great work that you're doing for

1176
01:05:07,000 --> 01:05:09,920
Speaker 2: both AFP and Concerned Veterans for America.

1177
01:05:10,920 --> 01:05:14,640
Speaker 14: Yes, both causes super near and dear to my heart.

1178
01:05:14,800 --> 01:05:17,240
Speaker 14: Veterans their family, they want a personal option as well.

1179
01:05:17,280 --> 01:05:20,280
Speaker 14: It's the reason that they served and sacrificed so much.

1180
01:05:20,360 --> 01:05:23,640
Speaker 14: You can follow me on Twitter at last, Stuart says,

1181
01:05:24,400 --> 01:05:29,040
Speaker 14: and for our healthcare initiatives, go to personal option dot com.

1182
01:05:29,520 --> 01:05:32,120
Speaker 2: Personal option dot com, go and check it out. Laurence Stewart,

1183
01:05:32,600 --> 01:05:35,960
Speaker 2: thank your husband for his service. I'm as a as

1184
01:05:36,000 --> 01:05:38,840
Speaker 2: a the spouse of a retired military member. I thank

1185
01:05:38,880 --> 01:05:41,960
Speaker 2: you as well for your your spousalship while he was

1186
01:05:42,000 --> 01:05:42,680
Speaker 2: on active duty.

1187
01:05:42,760 --> 01:05:45,320
Speaker 14: So thank you very much for that, well did l

1188
01:05:45,400 --> 01:05:47,160
Speaker 14: And happy holidays.

1189
01:05:46,640 --> 01:05:49,640
Speaker 2: Happy Holidays, Mary Christmas. That was Lauren Stewart. She's with

1190
01:05:51,080 --> 01:05:53,560
Speaker 2: Americans for Prosperity as well as Concerned Veterans for America,

1191
01:05:53,680 --> 01:05:58,000
Speaker 2: she said. La Law Stuart st e w Rt says,

1192
01:05:58,160 --> 01:06:01,320
Speaker 2: s A y s following me on Twitter. You'll find

1193
01:06:01,360 --> 01:06:04,600
Speaker 2: her there because I tweeted her out today. When we

1194
01:06:04,680 --> 01:06:08,200
Speaker 2: come back, guys, we're going to be talking about illegals

1195
01:06:08,240 --> 01:06:10,919
Speaker 2: and Sean Duffy and driver's licenses. We're going to start

1196
01:06:10,960 --> 01:06:13,880
Speaker 2: going down that road. I'm Andrew Langer. This is Tony

1197
01:06:13,920 --> 01:06:17,360
Speaker 2: kats today. You know, it's it's funny. I said this yesterday.

1198
01:06:17,920 --> 01:06:19,400
Speaker 2: You never do math on the air. I did some

1199
01:06:19,440 --> 01:06:21,480
Speaker 2: math on the air with one of our guests, and

1200
01:06:21,560 --> 01:06:25,680
Speaker 2: you don't. Here's what else you don't too. So if

1201
01:06:25,720 --> 01:06:28,520
Speaker 2: you haven't seen this, by the way, so DJ released

1202
01:06:28,520 --> 01:06:34,280
Speaker 2: a bunch more Epstein documents today. And I may have

1203
01:06:34,320 --> 01:06:35,880
Speaker 2: said this a couple of weeks ago on the air,

1204
01:06:36,640 --> 01:06:40,480
Speaker 2: certainly when it first came out. There's a there's a

1205
01:06:40,520 --> 01:06:45,200
Speaker 2: website out there called jmail dot world j m ai

1206
01:06:45,440 --> 01:06:50,360
Speaker 2: l dot world, and basically they've taken Jeffrey Epstein's Google drive,

1207
01:06:50,480 --> 01:06:54,560
Speaker 2: his Gmail account, and his Amazon account and a bunch

1208
01:06:54,600 --> 01:06:57,440
Speaker 2: of other things, and they have mirrored them at this

1209
01:06:57,600 --> 01:07:03,160
Speaker 2: jmail dot world and you can go through, at least

1210
01:07:03,200 --> 01:07:06,680
Speaker 2: from from the Jeffrey Epstein emails that have been released.

1211
01:07:07,320 --> 01:07:11,680
Speaker 2: You can go through them and it is astadic. So

1212
01:07:11,720 --> 01:07:15,640
Speaker 2: you know, I pulled this up because CBS headline from

1213
01:07:15,680 --> 01:07:19,680
Speaker 2: a little bit ago says new Epstein documents release and

1214
01:07:19,720 --> 01:07:23,640
Speaker 2: they contain thousands of references to Trump, and that may

1215
01:07:23,680 --> 01:07:28,200
Speaker 2: be true. But you know, if there's anything that comes

1216
01:07:28,240 --> 01:07:33,040
Speaker 2: out from these Epstein files, it's that Jeffrey Epstein was

1217
01:07:33,360 --> 01:07:38,480
Speaker 2: obsessed with Donald Trump, and everybody in Jeffrey Epstein's circle

1218
01:07:39,120 --> 01:07:41,479
Speaker 2: was obsessed with Donald Trump. By the way, it also

1219
01:07:41,560 --> 01:07:45,280
Speaker 2: underscores Steve Bennon. Man, I mean, I don't know why

1220
01:07:45,320 --> 01:07:47,480
Speaker 2: anybody trusts Steve benn And I don't know Steve benn

1221
01:07:47,480 --> 01:07:49,240
Speaker 2: and I may have met him once or twice. I

1222
01:07:49,360 --> 01:07:51,760
Speaker 2: you know, I do know that you have folks who

1223
01:07:52,320 --> 01:07:54,800
Speaker 2: talk about the fact that he essentially my good buddy

1224
01:07:54,800 --> 01:07:58,200
Speaker 2: Derek Hunter, who I'm in for next week, talks about how,

1225
01:07:58,400 --> 01:08:02,280
Speaker 2: at least in his estimation, Steve and ruined the Breitbart brand,

1226
01:08:03,720 --> 01:08:06,680
Speaker 2: that he stood four square against everything that Andrew Breitbart said.

1227
01:08:07,200 --> 01:08:11,520
Speaker 2: Steve Bennon all through these things, and I don't understand

1228
01:08:11,760 --> 01:08:14,920
Speaker 2: how after you know, twenty eighteen, Steve Bennon could be

1229
01:08:15,000 --> 01:08:19,639
Speaker 2: anywhere near Donald Trump's inner circle. So when you see

1230
01:08:19,680 --> 01:08:22,559
Speaker 2: the headline, you know, Donald Trump, thousands of Donald Trump

1231
01:08:22,640 --> 01:08:26,479
Speaker 2: references in Epstein files that that, of course, they're making

1232
01:08:26,560 --> 01:08:30,040
Speaker 2: it seem like, you know, Jeffrey Epstein and Donald Trump

1233
01:08:30,040 --> 01:08:33,479
Speaker 2: were besties. They were not. You know, you go through

1234
01:08:33,520 --> 01:08:35,479
Speaker 2: and you do a search for Trump. This popped up

1235
01:08:35,479 --> 01:08:38,160
Speaker 2: to me, and I know it's not where I was

1236
01:08:38,200 --> 01:08:39,680
Speaker 2: going to go in all of this, We're gonna talk

1237
01:08:39,680 --> 01:08:41,840
Speaker 2: Sean Duffy will do that, and you know, after the jump.

1238
01:08:42,520 --> 01:08:46,280
Speaker 2: But you know, there's this, like, here's this email. This

1239
01:08:46,439 --> 01:08:49,280
Speaker 2: is from April of twenty eighteen, so Trump's first term.

1240
01:08:49,880 --> 01:08:54,680
Speaker 2: It's from someone named Robert Triver's or Robert Trivers. I

1241
01:08:54,720 --> 01:08:56,600
Speaker 2: don't know who Robert Trivers is. We'll get to that

1242
01:08:56,640 --> 01:09:00,320
Speaker 2: in a second, because I wound up googling him. This

1243
01:09:00,360 --> 01:09:04,679
Speaker 2: is an email from Robert S. Trivers, who had Jeffrey

1244
01:09:04,680 --> 01:09:09,479
Speaker 2: Epstein's personal Gmail account, also sed someone named Gordon Getty,

1245
01:09:09,920 --> 01:09:16,000
Speaker 2: Norman Finkelstein, and David Haig. The the subject line is

1246
01:09:16,040 --> 01:09:19,960
Speaker 2: Trump set to dine with law professor Alan Dershowitz. So

1247
01:09:20,080 --> 01:09:24,959
Speaker 2: this is presumably one of the references that the CBS

1248
01:09:24,960 --> 01:09:28,960
Speaker 2: and others are trying to say is somehow emblematic of

1249
01:09:29,360 --> 01:09:32,960
Speaker 2: the relationship between Jeffrey Epstein and Donald Trump. And then

1250
01:09:33,040 --> 01:09:37,719
Speaker 2: you get to the meat of the letter. The email.

1251
01:09:38,040 --> 01:09:44,240
Speaker 2: It's one sentence, two lines, My god, that Jewish Nazi

1252
01:09:44,760 --> 01:09:48,120
Speaker 2: is joining our I'm sorry you got to read it

1253
01:09:48,120 --> 01:09:51,439
Speaker 2: because it's words oud, my god, that Jewish Nazi is

1254
01:09:51,560 --> 01:09:56,240
Speaker 2: joining to join our narcissistic psychopath for dinner. How appropriate.

1255
01:09:57,840 --> 01:10:04,880
Speaker 2: So this guy, Robert Trump is calling Alan Dershowitz a

1256
01:10:05,040 --> 01:10:09,639
Speaker 2: Jewish Nazi. This is not someone who speaks favorably. And

1257
01:10:09,680 --> 01:10:16,760
Speaker 2: who is Robert Trivers Robert S. Trivers is an American

1258
01:10:16,840 --> 01:10:23,320
Speaker 2: evolutionary biologist and sociobiologist. Trivers proposed the theories of reciprocal altruism,

1259
01:10:23,400 --> 01:10:29,679
Speaker 2: parental investment, faculty of sex, ratio determination, and parent offspring conflict. Boy,

1260
01:10:29,680 --> 01:10:33,519
Speaker 2: here is a guy who I would really want to

1261
01:10:33,560 --> 01:10:39,400
Speaker 2: be studying kids and obviously talking with Jeffrey Epstein. Five

1262
01:10:39,520 --> 01:10:48,479
Speaker 2: kids educated at Harvard, works at Rutgers. Wikipedia says though

1263
01:10:48,560 --> 01:10:51,160
Speaker 2: his work has been highly successful, he has been a

1264
01:10:51,200 --> 01:10:54,120
Speaker 2: source of controversy some of Triver's where some of Triver's

1265
01:10:54,120 --> 01:10:57,160
Speaker 2: work was funded by Epstein, and Trivers later defended the

1266
01:10:57,160 --> 01:11:01,839
Speaker 2: convicted pedophile's reputation. Twenty fifteen, he was sacked from Rutgers

1267
01:11:01,840 --> 01:11:07,640
Speaker 2: following a separate dispute. He took forty thousand dollars. He

1268
01:11:07,680 --> 01:11:11,679
Speaker 2: made remarks indicating his support for Epstein even after his conviction,

1269
01:11:11,880 --> 01:11:19,000
Speaker 2: minimizing Epstein's crimes and defending his reputations. Wow. He was

1270
01:11:19,040 --> 01:11:21,880
Speaker 2: suspended from Rutgers in twenty fifteen with pay as part

1271
01:11:21,920 --> 01:11:25,040
Speaker 2: of an ongoing dispute regarding a class on human aggression.

1272
01:11:26,240 --> 01:11:31,240
Speaker 2: I mean, good lord, I mean, this is it just again.

1273
01:11:32,680 --> 01:11:35,080
Speaker 2: You have to suss these things out. They want you

1274
01:11:35,680 --> 01:11:41,120
Speaker 2: to be confused. That's the whole goal here. Now, when

1275
01:11:41,200 --> 01:11:43,760
Speaker 2: we come back, I'm going to go start piling back

1276
01:11:43,800 --> 01:11:47,160
Speaker 2: the word salad of Tim Waltz's I promised yesterday, and

1277
01:11:47,200 --> 01:11:49,960
Speaker 2: we're going to talk about more that we're learning about

1278
01:11:49,960 --> 01:11:54,479
Speaker 2: what's going on with the Somali refugees. Oh my goodness,

1279
01:11:54,520 --> 01:11:57,960
Speaker 2: it is great. Oh and the Wisconsin Democrats they just

1280
01:11:58,000 --> 01:12:00,920
Speaker 2: love those Somali refugees that are there, that are in Minnesota.

1281
01:12:01,000 --> 01:12:03,240
Speaker 2: So stay tuned for that. I am Andrew Langer. This

1282
01:12:03,400 --> 01:12:04,680
Speaker 2: is Tony Kats Today.

1283
01:12:13,600 --> 01:12:19,200
Speaker 1: Live from the Hartbeiner and the Crossroads of America. It's

1284
01:12:19,280 --> 01:12:22,479
Speaker 1: Tony Cats Today.

1285
01:12:22,680 --> 01:12:26,240
Speaker 2: Well, hey, everybody, it is Andrew Langer in today for

1286
01:12:26,360 --> 01:12:29,439
Speaker 2: Tony Katz. So glad I can join you and join

1287
01:12:29,560 --> 01:12:33,200
Speaker 2: me on this New Year's Eve eve. We got tom

1288
01:12:33,240 --> 01:12:36,120
Speaker 2: shats New Year's Eve? Is that see New Year's Eve?

1289
01:12:36,200 --> 01:12:36,400
Speaker 11: Eh?

1290
01:12:36,640 --> 01:12:40,000
Speaker 2: That's oh my god, guys, it is like my brain

1291
01:12:40,080 --> 01:12:46,439
Speaker 2: is turning to guacamole. Yes, why would give any of you?

1292
01:12:46,439 --> 01:12:48,240
Speaker 2: And here's the thing I walked out and somebody was

1293
01:12:48,240 --> 01:12:50,479
Speaker 2: eating at Popeye's chicken sandwich. I haven't had a Popeye

1294
01:12:50,560 --> 01:12:53,360
Speaker 2: chicken sandwich in months, and so I'm just craving these things. Anyway,

1295
01:12:54,280 --> 01:12:58,360
Speaker 2: Merry Christmas Eve eve, guys. You know where it's all relative.

1296
01:12:58,360 --> 01:13:01,599
Speaker 2: We're relatively on on the eve of New Year's next week.

1297
01:13:01,720 --> 01:13:04,360
Speaker 2: We got Tom Shatz from Citizens Against Government Ways joining

1298
01:13:04,439 --> 01:13:07,639
Speaker 2: us later on in this hour. In the meantime, let's

1299
01:13:07,680 --> 01:13:11,280
Speaker 2: set the way back machine to yesterday, and we played

1300
01:13:11,280 --> 01:13:15,120
Speaker 2: a bit about Tim Waltz. Tim Waltz, who is the governor,

1301
01:13:15,240 --> 01:13:17,720
Speaker 2: is in the second term of being governor of Minnesota.

1302
01:13:18,160 --> 01:13:20,560
Speaker 2: He ran for vice president last year, thank god he

1303
01:13:20,600 --> 01:13:24,800
Speaker 2: didn't get elected president. And we've discovered all of this

1304
01:13:25,080 --> 01:13:29,599
Speaker 2: fraud among the welfare money that was given to Somali

1305
01:13:29,680 --> 01:13:34,559
Speaker 2: immigrants and how that money was used or misused, et cetera, etc. Well,

1306
01:13:34,680 --> 01:13:36,960
Speaker 2: you know it's on his watch. By the way, he

1307
01:13:37,000 --> 01:13:39,799
Speaker 2: may be running for governor again, which is just scary.

1308
01:13:41,080 --> 01:13:43,320
Speaker 2: But here's what he had to say yesterday. Let's plat

1309
01:13:43,320 --> 01:13:46,320
Speaker 2: at number seventeen. Well, look who's ever in charge? And

1310
01:13:46,360 --> 01:13:49,280
Speaker 2: I said, unlike the president, I'm the governor. Now, whether

1311
01:13:49,320 --> 01:13:51,920
Speaker 2: these programs happened before we got here. Afterwards, it doesn't matter.

1312
01:13:51,960 --> 01:13:54,160
Speaker 2: We're here now, we're the ones fixing it. When you

1313
01:13:54,160 --> 01:13:56,720
Speaker 2: have my guarantee on this is that I certainly will

1314
01:13:56,760 --> 01:13:58,400
Speaker 2: have this thing fixed. And you see that we're on

1315
01:13:58,439 --> 01:14:00,920
Speaker 2: the front end of it. That's how this works.

1316
01:14:01,080 --> 01:14:04,360
Speaker 9: And so would I have wanted to stop this? Would

1317
01:14:04,360 --> 01:14:05,960
Speaker 9: I have gone out? You know, if you think the

1318
01:14:05,960 --> 01:14:08,320
Speaker 9: governor goes out and checks somebody on Medicaid and if

1319
01:14:08,320 --> 01:14:10,599
Speaker 9: they were there, no, but that's somebody in government needed

1320
01:14:10,600 --> 01:14:12,439
Speaker 9: to do that. And if they didn't do that, or

1321
01:14:12,479 --> 01:14:14,280
Speaker 9: if there were loopholes in this. And what we found

1322
01:14:14,320 --> 01:14:16,519
Speaker 9: is these are poorly written and it left openings and

1323
01:14:16,560 --> 01:14:17,800
Speaker 9: the goal was to get the money out.

1324
01:14:17,840 --> 01:14:18,400
Speaker 2: We'll fix that.

1325
01:14:18,800 --> 01:14:21,080
Speaker 9: But yeah, I'll take accountability for it. But if you're

1326
01:14:21,080 --> 01:14:23,320
Speaker 9: seeing here is is you're seeing a weaponization.

1327
01:14:23,520 --> 01:14:24,599
Speaker 2: We'll continue to fix it.

1328
01:14:24,720 --> 01:14:26,720
Speaker 9: They're going to continue to come up with numbers that

1329
01:14:26,880 --> 01:14:29,880
Speaker 9: don't have it there and it's sensationalized. I don't expect

1330
01:14:29,920 --> 01:14:31,600
Speaker 9: anything different from this administration.

1331
01:14:32,439 --> 01:14:35,439
Speaker 2: So I promised you yesterday that I would pull the

1332
01:14:35,479 --> 01:14:39,519
Speaker 2: transcript of this. I would transcribe it because it is

1333
01:14:40,560 --> 01:14:43,360
Speaker 2: it really is insane. How you listen to it. It

1334
01:14:43,479 --> 01:14:47,160
Speaker 2: is a guy who is shucking and jiving. It is

1335
01:14:47,200 --> 01:14:49,600
Speaker 2: a guy, you know. It's that hama a Haman a

1336
01:14:49,640 --> 01:14:53,240
Speaker 2: moment where he's sort of caught behind the eight ball again.

1337
01:14:53,400 --> 01:14:56,160
Speaker 2: Thank god he was not vice president when this was uncovered,

1338
01:14:56,200 --> 01:14:59,479
Speaker 2: because it probably wouldn't have been uncovered. Remember, he was

1339
01:14:59,479 --> 01:15:03,920
Speaker 2: made aware of this their whistleblowers in the Minnesota Department

1340
01:15:03,920 --> 01:15:09,720
Speaker 2: of Health Services. We're making making people aware that this

1341
01:15:09,880 --> 01:15:14,040
Speaker 2: was a problem, and they were fired for it. So

1342
01:15:14,240 --> 01:15:16,920
Speaker 2: here here's what he said. He said, and I'm gonna

1343
01:15:16,920 --> 01:15:21,519
Speaker 2: slow it down. Look who's ever in charge? And I said,

1344
01:15:21,680 --> 01:15:25,160
Speaker 2: unlike the president, I'm the governor. That now, whether these

1345
01:15:25,160 --> 01:15:28,280
Speaker 2: programs happened before we got here or afterwards, it doesn't matter.

1346
01:15:28,479 --> 01:15:31,920
Speaker 2: We're here now. Let me read it again. Look who's

1347
01:15:31,960 --> 01:15:34,360
Speaker 2: ever in charge? And I said, unlike the president, I'm

1348
01:15:34,400 --> 01:15:34,879
Speaker 2: the governor.

1349
01:15:34,920 --> 01:15:35,080
Speaker 9: Now.

1350
01:15:35,120 --> 01:15:38,040
Speaker 2: Whether these programs happened before we got here or afterwards,

1351
01:15:38,320 --> 01:15:44,000
Speaker 2: it doesn't matter. We're here now. Now. That is Oh,

1352
01:15:44,120 --> 01:15:46,559
Speaker 2: you know, somebody, I should have put this in an

1353
01:15:46,640 --> 01:15:51,680
Speaker 2: analytical program to analyze this is a deflection. Maybe I'll

1354
01:15:51,680 --> 01:15:53,600
Speaker 2: do that at the commercial break. Well, we'll put that

1355
01:15:53,680 --> 01:15:55,680
Speaker 2: in and do that. I should the things you do

1356
01:15:55,720 --> 01:15:59,120
Speaker 2: while you're on the air. Basically, he's trying to say

1357
01:15:59,200 --> 01:16:02,439
Speaker 2: that this didn't happen on his watch, except it did

1358
01:16:02,520 --> 01:16:07,120
Speaker 2: happen on his watch, and it happened because Barack Obama

1359
01:16:07,439 --> 01:16:11,080
Speaker 2: brought these Somali immigrants there. These programs were set up

1360
01:16:11,200 --> 01:16:14,800
Speaker 2: under Tim Waltz's watch and exacerbated under Tim Waltz's watch.

1361
01:16:15,840 --> 01:16:17,800
Speaker 2: He then writes, we're the ones fixed or he says,

1362
01:16:17,800 --> 01:16:20,240
Speaker 2: we're the ones fixing it. You have my guarantee on

1363
01:16:20,320 --> 01:16:23,240
Speaker 2: this that I certainly will have this thing fixed. And

1364
01:16:23,280 --> 01:16:26,640
Speaker 2: you see that we're on the front end of it. Well, no,

1365
01:16:26,880 --> 01:16:31,040
Speaker 2: you're in the spotlight on it, and nobody accepts your guarantee.

1366
01:16:31,080 --> 01:16:34,240
Speaker 2: You have my guarantee, right again, used car salesman, I

1367
01:16:34,240 --> 01:16:38,759
Speaker 2: have my guarantee. To quote the line from Tommy Boy,

1368
01:16:38,880 --> 01:16:41,280
Speaker 2: you know you could, you know, I could take I

1369
01:16:41,280 --> 01:16:43,479
Speaker 2: can make a big poop in the box and mark

1370
01:16:43,520 --> 01:16:46,320
Speaker 2: it guaranteed. But all you'd have is that it's a

1371
01:16:46,360 --> 01:16:50,439
Speaker 2: guaranteed piece of poop. Yes, I know, I've drilled it

1372
01:16:50,479 --> 01:16:55,000
Speaker 2: back down. He then goes on, that's how this works.

1373
01:16:55,760 --> 01:16:58,679
Speaker 2: And so I love this, and so what I've wanted

1374
01:16:58,720 --> 01:17:01,800
Speaker 2: to stop this would I've gone out you know, if

1375
01:17:01,800 --> 01:17:03,559
Speaker 2: you think the governor goes out and check somebody on

1376
01:17:03,600 --> 01:17:06,640
Speaker 2: medicaid that they were there, No, but that somebody in

1377
01:17:06,680 --> 01:17:08,439
Speaker 2: the government needed to do that, and if they didn't

1378
01:17:08,479 --> 01:17:10,120
Speaker 2: do that, or there if there were loopholes in this

1379
01:17:10,479 --> 01:17:13,360
Speaker 2: or and what we found is that these were poorly written.

1380
01:17:13,840 --> 01:17:16,559
Speaker 2: Hold on, I got to slow that down. That's how

1381
01:17:16,600 --> 01:17:19,320
Speaker 2: this works. And so would I have wanted to stop this?

1382
01:17:19,560 --> 01:17:22,439
Speaker 2: Would I have gone out? You know? If you think

1383
01:17:22,479 --> 01:17:24,880
Speaker 2: the governor goes out and checks somebody on medicaid and

1384
01:17:24,960 --> 01:17:29,719
Speaker 2: that they were there? No, So he answers the question,

1385
01:17:31,120 --> 01:17:33,519
Speaker 2: I mean, really, would I have wanted to stop this?

1386
01:17:33,560 --> 01:17:36,960
Speaker 2: Would I have gone out? Well, he doesn't answer the question.

1387
01:17:37,720 --> 01:17:39,639
Speaker 2: If you know, if you think the governor goes out

1388
01:17:39,640 --> 01:17:42,479
Speaker 2: and checks somebody on medicaid or that they were there, No,

1389
01:17:42,840 --> 01:17:45,400
Speaker 2: but somebody in government needed to do that, and if

1390
01:17:45,400 --> 01:17:47,519
Speaker 2: they didn't do that, or if there were loopholes in this,

1391
01:17:48,840 --> 01:17:54,320
Speaker 2: And then he goes on again shucks and jibs. Somebody

1392
01:17:54,479 --> 01:17:59,960
Speaker 2: did underscore the loopholes. They were fired by your appoint

1393
01:18:00,120 --> 01:18:03,599
Speaker 2: d's governor. What we found out is that these are

1394
01:18:03,680 --> 01:18:06,120
Speaker 2: poorly written and lefted openings, and the goal was to

1395
01:18:06,120 --> 01:18:08,360
Speaker 2: get the money out. We'll fix that. Well, first of all,

1396
01:18:08,439 --> 01:18:10,439
Speaker 2: you should have fixed it by now. Once you found

1397
01:18:10,479 --> 01:18:12,880
Speaker 2: out that there were loopholes in it, you should have

1398
01:18:12,880 --> 01:18:16,120
Speaker 2: fixed it. That's it, you know, stop the money going

1399
01:18:16,160 --> 01:18:21,760
Speaker 2: out no more. And it wasn't that they were poorly written.

1400
01:18:21,800 --> 01:18:23,599
Speaker 2: They may have been poorly ridden. That may have been

1401
01:18:23,640 --> 01:18:28,120
Speaker 2: the problem. But again, like everything else, when you make

1402
01:18:28,200 --> 01:18:32,080
Speaker 2: policy in a crisis, right, this is again Dialectic talked

1403
01:18:32,080 --> 01:18:37,040
Speaker 2: about it this morning earlier today. You create a problem

1404
01:18:37,080 --> 01:18:40,479
Speaker 2: where you manufacture a problem, you exacerbate the problem, and

1405
01:18:40,520 --> 01:18:44,120
Speaker 2: then government is the solution. You create the problem of

1406
01:18:44,160 --> 01:18:48,240
Speaker 2: bringing in this influx of Somali immigrants into your community,

1407
01:18:48,360 --> 01:18:50,760
Speaker 2: some of whom, many of whom can't don't have the

1408
01:18:50,800 --> 01:18:55,640
Speaker 2: skills to function in American society. You create the problem.

1409
01:18:55,960 --> 01:18:59,360
Speaker 2: Government's the answer to that problem. And then you create

1410
01:18:59,400 --> 01:19:02,559
Speaker 2: a crisis out of it, and and you you can

1411
01:19:02,600 --> 01:19:08,200
Speaker 2: therefore have that crisis be exploited. Then he goes on,

1412
01:19:08,800 --> 01:19:12,160
Speaker 2: but yeah, I'll take accountability for it. But what you're

1413
01:19:12,160 --> 01:19:15,400
Speaker 2: seeing here is you're seeing a weaponization. We'll continue to

1414
01:19:15,439 --> 01:19:17,200
Speaker 2: fix it. They're going to continue to come up with

1415
01:19:17,280 --> 01:19:19,760
Speaker 2: numbers that don't have it there, and it's sensationalized. I

1416
01:19:19,760 --> 01:19:24,720
Speaker 2: don't expect anything different from this administration. So it really is,

1417
01:19:25,080 --> 01:19:28,920
Speaker 2: at the end of the day, a massive dodge on

1418
01:19:29,040 --> 01:19:35,280
Speaker 2: the part of Tim Wattz. It it you know, it is,

1419
01:19:35,479 --> 01:19:39,200
Speaker 2: It's not it was. It was not my fault. I'm

1420
01:19:39,280 --> 01:19:42,400
Speaker 2: just finding out about it as you did. Uh, we're

1421
01:19:42,439 --> 01:19:45,640
Speaker 2: fixing it. Take my word for it. We're fixing it.

1422
01:19:45,680 --> 01:19:48,000
Speaker 2: I guarantee that we're fixing it. Just stop asking me

1423
01:19:48,040 --> 01:19:50,439
Speaker 2: this question. So and anybody who continues to ask the

1424
01:19:50,520 --> 01:19:53,960
Speaker 2: questions and comes up with numbers, that's all sensationalized. That's

1425
01:19:53,960 --> 01:19:57,760
Speaker 2: all just just Trump day. What I'm gonna I'm gonna

1426
01:19:57,800 --> 01:20:02,840
Speaker 2: plug this into UH an analytic engineer and see what

1427
01:20:02,880 --> 01:20:07,400
Speaker 2: they say about what Tim Waltz has to say about this.

1428
01:20:08,120 --> 01:20:09,720
Speaker 2: We're gonna go out in just a minute or so

1429
01:20:09,800 --> 01:20:11,639
Speaker 2: early here, so we got more time at the back end.

1430
01:20:11,800 --> 01:20:15,000
Speaker 2: I'm Andrew Langer in for Tony Kats today. Oh I

1431
01:20:15,040 --> 01:20:17,960
Speaker 2: love this. By the way, if you aren't aware, for many,

1432
01:20:18,000 --> 01:20:21,040
Speaker 2: many years, the Beatles at Christmas time would do a

1433
01:20:21,720 --> 01:20:24,880
Speaker 2: forty five that they would send out to their fan club,

1434
01:20:25,520 --> 01:20:27,840
Speaker 2: and this is the one from I believe nineteen sixty six.

1435
01:20:27,960 --> 01:20:30,760
Speaker 2: Everywhere it's Christmas. It's a series of little sketches that

1436
01:20:30,800 --> 01:20:33,840
Speaker 2: they did. Oh it's so good everywhere it's Christmas. Go

1437
01:20:33,960 --> 01:20:36,559
Speaker 2: check it out on YouTube. So listen, we've been talking

1438
01:20:36,560 --> 01:20:39,400
Speaker 2: about Tim Waltz and his statement, and I did put

1439
01:20:39,439 --> 01:20:41,240
Speaker 2: it in a frankly I just put it into chat

1440
01:20:41,320 --> 01:20:44,600
Speaker 2: GPT and I said, this is the governor of a

1441
01:20:44,640 --> 01:20:47,679
Speaker 2: state talking about the discovery of massive amounts of fraud

1442
01:20:47,960 --> 01:20:50,360
Speaker 2: in a particular welfare program. What do you make of this?

1443
01:20:51,200 --> 01:20:53,679
Speaker 2: A chat GPT comes back with, this is a damage

1444
01:20:53,720 --> 01:20:58,080
Speaker 2: control accountability speech, not a transparency speech. The governor's trying

1445
01:20:58,080 --> 01:21:01,280
Speaker 2: to claim ownership of the fix while detaching himself from

1446
01:21:01,400 --> 01:21:07,120
Speaker 2: responsibility for the failure and simultaneously delegitimizing the scrutiny of

1447
01:21:07,160 --> 01:21:11,720
Speaker 2: the problem. It's a very familiar political maneuver. He accepts

1448
01:21:12,320 --> 01:21:17,679
Speaker 2: responsibility for cleanup, but not responsibility for design, oversight or failure.

1449
01:21:18,080 --> 01:21:22,080
Speaker 2: It sounds like accountability, but it's actually procedural accountability, not

1450
01:21:22,240 --> 01:21:27,760
Speaker 2: substance of accountability. He's saying I'm accountable for solving, not

1451
01:21:27,880 --> 01:21:29,960
Speaker 2: that I'm accountable for allowing it. Those are two very

1452
01:21:29,960 --> 01:21:35,240
Speaker 2: different things. He then goes on, if you think the

1453
01:21:35,280 --> 01:21:38,559
Speaker 2: governor goes out and checks somebody on Medicaid. No, they

1454
01:21:38,600 --> 01:21:41,320
Speaker 2: write that this is a straw end defense. No serious

1455
01:21:41,400 --> 01:21:44,600
Speaker 2: critic is saying that governor should personally audit medicaid recipients.

1456
01:21:45,000 --> 01:21:50,480
Speaker 2: The real question is where systems, internal controls, eligibility verification,

1457
01:21:51,320 --> 01:21:56,680
Speaker 2: fraud detection mechanisms were these adequate and enforced. By personalizing

1458
01:21:56,720 --> 01:22:04,559
Speaker 2: the question, he avoids the institutional failure. He then blames

1459
01:22:04,560 --> 01:22:08,560
Speaker 2: the policy designed without naming the authors. He that preemptively

1460
01:22:08,560 --> 01:22:12,320
Speaker 2: discredits the evidence. You're seeing a weaponization cessationalized numbers that

1461
01:22:12,360 --> 01:22:15,240
Speaker 2: don't have it there. This is the most defensive and

1462
01:22:15,280 --> 01:22:21,480
Speaker 2: telling part. Instead of disputing specific figures, clarifying disputed methodology,

1463
01:22:21,560 --> 01:22:26,120
Speaker 2: or distinguishing confirmed fraud estimates, he broadly labels criticism as

1464
01:22:26,520 --> 01:22:32,240
Speaker 2: politically motivated and exaggerated. That's not a rebuttal, it's narrative inoculation.

1465
01:22:32,680 --> 01:22:36,520
Speaker 2: He's telling the audience how to interpret for chier revelations

1466
01:22:36,760 --> 01:22:41,040
Speaker 2: future revelations before they arrive. He shifts the blame upwards,

1467
01:22:42,080 --> 01:22:45,760
Speaker 2: and he doesn't acknowledge how long the front went on

1468
01:22:45,840 --> 01:22:48,439
Speaker 2: undetected in a whole host of things. And then I

1469
01:22:48,520 --> 01:22:54,759
Speaker 2: asked this question, on reading this statement, can we trust

1470
01:22:54,800 --> 01:22:58,480
Speaker 2: what this governor says regarding fixing it or holding people accountable,

1471
01:23:00,040 --> 01:23:02,519
Speaker 2: chat GPT comes back short answer, you shouldn't take it

1472
01:23:02,560 --> 01:23:05,840
Speaker 2: on faith. The statement gives you no independent reason to

1473
01:23:05,880 --> 01:23:08,960
Speaker 2: trust either that the problem will be fixed or that

1474
01:23:09,080 --> 01:23:13,200
Speaker 2: meaningful accountability will follow any any goes it goes on

1475
01:23:13,360 --> 01:23:17,360
Speaker 2: from there, So even chat GPT can't take you seriously.

1476
01:23:18,080 --> 01:23:20,880
Speaker 2: Governor Waltz, now I will I will add to this

1477
01:23:22,280 --> 01:23:25,599
Speaker 2: on on this, on this statement. It's not just Governor

1478
01:23:25,640 --> 01:23:30,000
Speaker 2: Waltz in Minnesota. Obviously he's a huge honking part of this.

1479
01:23:31,400 --> 01:23:36,080
Speaker 2: But it is fascinating to watch the Minnesota Democrats fall

1480
01:23:36,200 --> 01:23:41,880
Speaker 2: all over themselves in trying to apologize to the Somali community.

1481
01:23:41,960 --> 01:23:45,360
Speaker 2: It is amazing to me, right because they know that

1482
01:23:45,400 --> 01:23:50,439
Speaker 2: in this bizarro system of a lack of accountability, that

1483
01:23:50,520 --> 01:23:54,400
Speaker 2: they need these numbers in order to win elections. That

1484
01:23:54,400 --> 01:23:56,960
Speaker 2: that that should tell you a great deal. They are

1485
01:23:57,000 --> 01:24:00,920
Speaker 2: willing to allow for and not hold accountable billions of

1486
01:24:00,960 --> 01:24:04,800
Speaker 2: dollars in fraudulent activity. They're going to apologize to this

1487
01:24:04,840 --> 01:24:09,599
Speaker 2: community for the discovery of this fraud because they want

1488
01:24:09,640 --> 01:24:14,760
Speaker 2: the votes. That is cravenly cynical. So here is an

1489
01:24:14,800 --> 01:24:16,799
Speaker 2: event that happened I don't know if it happened yesterday

1490
01:24:16,920 --> 01:24:22,880
Speaker 2: or over the weekend. Somali mosque, Minnesota Dems expressing their horror.

1491
01:24:22,920 --> 01:24:24,000
Speaker 2: Let's play at number eighteen.

1492
01:24:25,160 --> 01:24:27,680
Speaker 20: Whether you are in my Senate district or not, I

1493
01:24:27,720 --> 01:24:29,680
Speaker 20: am here to tell you how much we are in

1494
01:24:29,840 --> 01:24:33,560
Speaker 20: support of every one of you, and with my colleagues.

1495
01:24:34,560 --> 01:24:40,920
Speaker 20: We are heartbroken, czy horrible actually government, and because we

1496
01:24:41,040 --> 01:24:44,559
Speaker 20: want the state level, we will do all that we

1497
01:24:44,680 --> 01:24:48,160
Speaker 20: can to support you. Whether you live in our district

1498
01:24:48,280 --> 01:24:51,640
Speaker 20: or not, we are here. Greetings from all of our

1499
01:24:51,720 --> 01:24:56,640
Speaker 20: Senate Deficul colleagues, including my house partner, Patty Haycum.

1500
01:24:56,520 --> 01:24:59,080
Speaker 14: Who wish she could be here, but she's not, so

1501
01:24:59,280 --> 01:25:00,200
Speaker 14: please read.

1502
01:25:00,160 --> 01:25:02,800
Speaker 20: Talk to us when you live in our district, are not,

1503
01:25:03,320 --> 01:25:07,000
Speaker 20: If you have friends, relatives, anyone needs our help.

1504
01:25:07,320 --> 01:25:10,240
Speaker 2: All right, we can end it there. She's in tears, guys.

1505
01:25:10,840 --> 01:25:14,160
Speaker 2: She's not angry. She's not outraged at the fraud. She's

1506
01:25:14,200 --> 01:25:17,920
Speaker 2: not angry about billions of dollars of Minnesota and US

1507
01:25:17,960 --> 01:25:22,360
Speaker 2: taxpayer money flowing out of that state, illegally, out of

1508
01:25:22,360 --> 01:25:24,920
Speaker 2: the country and into the coffers in no small measure

1509
01:25:25,160 --> 01:25:32,600
Speaker 2: of North African terrorist organizations. Right, she is upset that

1510
01:25:32,680 --> 01:25:36,160
Speaker 2: it was discovered and that folks are angry and rightly

1511
01:25:36,200 --> 01:25:40,960
Speaker 2: angry about their money being misused. I mean, it is

1512
01:25:41,400 --> 01:25:44,519
Speaker 2: amazing to me. I shouldn't be amazed by this. It's

1513
01:25:44,560 --> 01:25:47,640
Speaker 2: twenty twenty five, just when you thought you couldn't be

1514
01:25:47,720 --> 01:25:49,960
Speaker 2: surprised by something that the Democrats were going to do.

1515
01:25:50,040 --> 01:25:52,080
Speaker 2: Of course, by the way, if you're unfamiliar with it,

1516
01:25:52,479 --> 01:25:55,400
Speaker 2: the Democrats and the Democrat Party in Minnesota is called

1517
01:25:55,439 --> 01:25:59,439
Speaker 2: the DFL the Democrat Farmer and Labor Party, which sounds

1518
01:25:59,520 --> 01:26:04,760
Speaker 2: vaguely socialist. But their apology, Oh my god, I was

1519
01:26:04,840 --> 01:26:07,280
Speaker 2: so sorry that this was found out and that people

1520
01:26:07,320 --> 01:26:10,840
Speaker 2: are angry about this. By the way, James Comer, we

1521
01:26:10,920 --> 01:26:15,600
Speaker 2: went back and forth about his back and forth with

1522
01:26:15,600 --> 01:26:22,920
Speaker 2: with with the Democratic Minority leader over his investigation into this.

1523
01:26:23,120 --> 01:26:25,519
Speaker 2: Here's what James Comer had to say yesterday. Let's play

1524
01:26:25,520 --> 01:26:26,680
Speaker 2: cut number nineteen.

1525
01:26:26,840 --> 01:26:29,400
Speaker 12: Because they don't want to offend that population.

1526
01:26:29,760 --> 01:26:32,400
Speaker 21: And the early numbers that I'm getting in on the

1527
01:26:32,439 --> 01:26:37,160
Speaker 21: Somalis in Minnesota is seventy five percent of the Somalis

1528
01:26:37,160 --> 01:26:40,280
Speaker 21: in Minnesota are on full government assistance.

1529
01:26:40,360 --> 01:26:41,519
Speaker 12: That's full welfare.

1530
01:26:41,840 --> 01:26:45,160
Speaker 21: The whole reason that the Democrats left the border open

1531
01:26:45,280 --> 01:26:48,000
Speaker 21: during the Biden administration was to allow people to come

1532
01:26:48,000 --> 01:26:51,519
Speaker 21: in and what they said would would provide jobs, you.

1533
01:26:51,520 --> 01:26:53,040
Speaker 12: Know, because there's a shortage of workers.

1534
01:26:53,040 --> 01:26:56,280
Speaker 21: And I agree there's workers, but you got a massive

1535
01:26:56,360 --> 01:26:59,960
Speaker 21: population in that one state, and the old whelming majority

1536
01:27:00,000 --> 01:27:03,920
Speaker 21: many of that populations all medicaid and then in other

1537
01:27:03,960 --> 01:27:06,840
Speaker 21: types of government programs. Even when Democrats say there are

1538
01:27:06,840 --> 01:27:11,000
Speaker 21: no illegals on Medicaid, I think that's that's going to be.

1539
01:27:11,000 --> 01:27:14,600
Speaker 12: Proven to be book in Minnesota, right, right, Chairman.

1540
01:27:16,280 --> 01:27:20,040
Speaker 2: Seventy five percent by these estimates. Now, let's assume let's

1541
01:27:20,040 --> 01:27:24,880
Speaker 2: assume that Comer is exaggerating. Let's assume that it's twenty

1542
01:27:24,960 --> 01:27:30,320
Speaker 2: five percent. That's still twenty five percent too much, right,

1543
01:27:30,800 --> 01:27:35,400
Speaker 2: I mean, seventy five percent is an astounding number. But

1544
01:27:35,600 --> 01:27:39,240
Speaker 2: any number of folks who are here who are on welfare. Again,

1545
01:27:39,520 --> 01:27:42,000
Speaker 2: we talk about this, We talk about the dialectic. We

1546
01:27:42,080 --> 01:27:44,840
Speaker 2: talk about the creating of the problem, the exacerbation of

1547
01:27:44,840 --> 01:27:47,960
Speaker 2: the problem, and the use of government as the solution

1548
01:27:48,080 --> 01:27:51,640
Speaker 2: of that problem. That's you know, Barack Obama caused this problem.

1549
01:27:53,320 --> 01:27:58,800
Speaker 2: Tim Waltz, exacerbated this problem, and the American taxpayers are

1550
01:27:58,840 --> 01:28:02,000
Speaker 2: on the hook for it. You know Randy Fine, who's

1551
01:28:02,040 --> 01:28:03,720
Speaker 2: also known as the Hebrew Hammer. I was at an

1552
01:28:03,760 --> 01:28:07,720
Speaker 2: event with him a week ago yesterday where he was

1553
01:28:07,760 --> 01:28:09,800
Speaker 2: honored at this event. He was on the news last night.

1554
01:28:09,800 --> 01:28:11,200
Speaker 2: He's got a bill out there to deal with this,

1555
01:28:11,240 --> 01:28:13,040
Speaker 2: and I think he's absolutely right. Let's go ahead and

1556
01:28:13,160 --> 01:28:15,760
Speaker 2: play cat number twenty. If you want to.

1557
01:28:15,760 --> 01:28:19,000
Speaker 8: Immigrate to the United States for freedom and opportunity, that's

1558
01:28:19,080 --> 01:28:19,599
Speaker 8: one thing.

1559
01:28:19,880 --> 01:28:22,360
Speaker 2: But the problem is you've got too many people coming.

1560
01:28:22,120 --> 01:28:24,760
Speaker 8: Here for free stuff, which is why I've introduced a

1561
01:28:24,760 --> 01:28:29,240
Speaker 8: bill that would ban all legal immigrants from welfare, not

1562
01:28:29,320 --> 01:28:32,320
Speaker 8: just illegal, but legal, because you should not be coming

1563
01:28:32,400 --> 01:28:36,000
Speaker 8: here and then asking our children and our grandchildren to

1564
01:28:36,080 --> 01:28:38,640
Speaker 8: go into debt to give you free things. If you

1565
01:28:38,680 --> 01:28:41,120
Speaker 8: want free stuff, stay home. And So, if you want

1566
01:28:41,160 --> 01:28:44,000
Speaker 8: to come here for freedom and opportunity, if you love America,

1567
01:28:44,040 --> 01:28:45,760
Speaker 8: if you share our values, if.

1568
01:28:45,680 --> 01:28:47,040
Speaker 22: You want to go to work and you want to

1569
01:28:47,040 --> 01:28:49,800
Speaker 22: add value, that's a discussion that we can have. But

1570
01:28:49,880 --> 01:28:52,640
Speaker 22: if you hate America, if you want to change America,

1571
01:28:52,720 --> 01:28:54,760
Speaker 22: if you don't share our values, and you don't want

1572
01:28:54,760 --> 01:28:56,920
Speaker 22: to assimilate, and you're just here to see how much

1573
01:28:56,920 --> 01:28:59,639
Speaker 22: free stuff you can get, stay where you're from.

1574
01:29:00,280 --> 01:29:02,360
Speaker 2: You know it's funny. I don't know if you guys

1575
01:29:02,400 --> 01:29:05,320
Speaker 2: remember a movie from the nineteen eighties called Remo Williams

1576
01:29:05,439 --> 01:29:07,800
Speaker 2: The Adventure Begins. Now. I love this movie. I know

1577
01:29:07,840 --> 01:29:10,040
Speaker 2: it's a terrible movie. Still loved it as a kid,

1578
01:29:10,120 --> 01:29:12,439
Speaker 2: loved it as a teenager. But there was a series

1579
01:29:12,479 --> 01:29:15,360
Speaker 2: of books that it was based on, called the Destroyer Series,

1580
01:29:15,880 --> 01:29:19,880
Speaker 2: by two guys, Richard Sapier and Warren Murphy. And invariably

1581
01:29:19,920 --> 01:29:23,720
Speaker 2: these are pulp novels. Again, it's not highbrow literature by

1582
01:29:23,720 --> 01:29:26,800
Speaker 2: any stretch of the imagination. And the eighties I may

1583
01:29:26,840 --> 01:29:29,200
Speaker 2: have mentioned this before. I would drive across country with

1584
01:29:29,200 --> 01:29:31,400
Speaker 2: my parents, not every summer, but like every other summer,

1585
01:29:31,920 --> 01:29:33,719
Speaker 2: and in one of the summers that I was really

1586
01:29:33,720 --> 01:29:37,040
Speaker 2: into these Destroyer books. Every time we'd stop at a

1587
01:29:37,120 --> 01:29:39,120
Speaker 2: used bookstore, I would buy like five or six of

1588
01:29:39,160 --> 01:29:42,760
Speaker 2: them for a buck apiece. I mean, this is in

1589
01:29:42,840 --> 01:29:45,240
Speaker 2: pulp fiction, but it might as well be. But the

1590
01:29:45,280 --> 01:29:48,519
Speaker 2: point is I loved the writing. Dick Sapier and Warren

1591
01:29:48,600 --> 01:29:52,040
Speaker 2: Murphy were great writers, and one of the things that

1592
01:29:52,080 --> 01:29:53,960
Speaker 2: they would hammer on is a lot of these sort

1593
01:29:54,000 --> 01:29:58,479
Speaker 2: of social welfare, social justice tropes. And we're talking about

1594
01:29:58,479 --> 01:30:00,320
Speaker 2: books that were written in the seventies and the early

1595
01:30:00,360 --> 01:30:03,360
Speaker 2: eighties in which they are predicting so much of this,

1596
01:30:04,080 --> 01:30:07,080
Speaker 2: and I will never forget. There's one point where there

1597
01:30:07,160 --> 01:30:10,479
Speaker 2: are some kind of Central American terrorists who have taken

1598
01:30:10,520 --> 01:30:13,559
Speaker 2: over an apartment in New York, and you know, Remo

1599
01:30:13,720 --> 01:30:15,880
Speaker 2: is sent in to deal with to find out what

1600
01:30:15,920 --> 01:30:19,320
Speaker 2: they want, sort of deal with the situation, and there's

1601
01:30:19,360 --> 01:30:23,640
Speaker 2: a line, you know it basically they're saying that one

1602
01:30:23,680 --> 01:30:26,080
Speaker 2: of the terrorists says, we're sick and tired of your

1603
01:30:26,160 --> 01:30:31,920
Speaker 2: foreign aid. We want welfare. And again very clear, you know,

1604
01:30:32,160 --> 01:30:35,320
Speaker 2: you know politically where Dick Saper and Warren Murphy were

1605
01:30:35,640 --> 01:30:38,680
Speaker 2: on the spectrum here and what they were saying, But

1606
01:30:38,800 --> 01:30:41,479
Speaker 2: it was eerily predictive of what was going to come

1607
01:30:41,520 --> 01:30:44,720
Speaker 2: to pass if we didn't have some sanity, some kind

1608
01:30:44,760 --> 01:30:50,240
Speaker 2: of sensibility in this policy. Remember what Milton Friedman said,

1609
01:30:51,200 --> 01:30:53,960
Speaker 2: the surest way to destroy a society is to have

1610
01:30:54,080 --> 01:30:58,080
Speaker 2: open borders and a massive social warfare state. This is

1611
01:30:58,120 --> 01:31:01,920
Speaker 2: what the Europeans have been grappling with. This is why

1612
01:31:01,960 --> 01:31:04,960
Speaker 2: so many countries in Europe are ending the issue of

1613
01:31:05,040 --> 01:31:09,439
Speaker 2: open borders, because they've seen this happen in real time.

1614
01:31:10,360 --> 01:31:14,360
Speaker 2: It is amazing, and this certainly is an example. I

1615
01:31:14,400 --> 01:31:17,680
Speaker 2: think both Randy Fine and Jim Comer are absolutely on

1616
01:31:17,840 --> 01:31:21,120
Speaker 2: point here. We should never have let it get to

1617
01:31:21,200 --> 01:31:25,160
Speaker 2: this point in time. But this is what Tim Waltz wants.

1618
01:31:25,240 --> 01:31:28,639
Speaker 2: This is why he's running for governor again. Listen, we're

1619
01:31:28,640 --> 01:31:30,720
Speaker 2: gonna pivot back to talking about healthcare. We're going to

1620
01:31:30,760 --> 01:31:33,479
Speaker 2: go back to this issue of the Center for Medicare

1621
01:31:33,520 --> 01:31:37,120
Speaker 2: and Medicaid Innovation. We're going to talk about the fact

1622
01:31:37,120 --> 01:31:40,479
Speaker 2: that apparently if you shut down a wasteful program, the

1623
01:31:40,560 --> 01:31:44,559
Speaker 2: Congressional Budget Office will score it as a revenue as

1624
01:31:44,600 --> 01:31:48,280
Speaker 2: negative to revenue. When we return, Tom Schatz from Citizens

1625
01:31:48,320 --> 01:31:51,280
Speaker 2: Against Government Waste. I'm Andrew Langer in for Tony Kats Today.

1626
01:31:53,960 --> 01:31:56,719
Speaker 2: You know, I hear this song. This is a Christmas

1627
01:31:56,760 --> 01:32:00,559
Speaker 2: wrapping by the waitresses, and it always makes me regret

1628
01:32:00,600 --> 01:32:02,599
Speaker 2: the fact that I never learned how to play the face.

1629
01:32:02,880 --> 01:32:07,120
Speaker 2: You know, I hear this. It's a great song. Anyway,

1630
01:32:07,439 --> 01:32:10,000
Speaker 2: I'm Andrew Langer and for Tony Kats Today on Tony

1631
01:32:10,080 --> 01:32:12,840
Speaker 2: Katz Today. Joined us right now is my good buddy

1632
01:32:12,840 --> 01:32:18,280
Speaker 2: Tom Shatz. He's president of Citizens Against Government Waste. Tom Man,

1633
01:32:18,800 --> 01:32:23,160
Speaker 2: I mean Christmas Eve is upon us. You know, the

1634
01:32:23,479 --> 01:32:27,519
Speaker 2: year is winding down, You guys still remaining super busy

1635
01:32:27,520 --> 01:32:31,040
Speaker 2: at AGW. No rest for the weary for you guys.

1636
01:32:32,080 --> 01:32:34,880
Speaker 2: We spent some time earlier in the show talking about healthcare.

1637
01:32:35,080 --> 01:32:38,639
Speaker 2: I spent some time yesterday talking about CMMI, the Center

1638
01:32:38,680 --> 01:32:43,600
Speaker 2: for Medicare and Medicaid Innovation. Tell us all about the

1639
01:32:43,600 --> 01:32:45,360
Speaker 2: work that you guys are doing on this issue, because

1640
01:32:45,360 --> 01:32:46,040
Speaker 2: it is important.

1641
01:32:47,080 --> 01:32:50,400
Speaker 6: Well, we have been working on healthcare since I began

1642
01:32:50,479 --> 01:32:53,040
Speaker 6: at Citizens Against Government Waste and all the way back

1643
01:32:53,080 --> 01:32:57,080
Speaker 6: in nineteen eighty six, because there's always more ways to

1644
01:32:57,240 --> 01:33:01,080
Speaker 6: provide more effective and efficient healthcare at a lower cost.

1645
01:33:01,160 --> 01:33:03,920
Speaker 6: And that's what everybody's trying to including President Trump.

1646
01:33:04,400 --> 01:33:04,599
Speaker 2: Yeah.

1647
01:33:04,760 --> 01:33:06,560
Speaker 6: Well, we have a lot of what he's doing in

1648
01:33:06,720 --> 01:33:10,160
Speaker 6: some areas where we disagree, and one of those has

1649
01:33:10,240 --> 01:33:15,519
Speaker 6: constantly been price controls placed on not just pharmaceuticals, but

1650
01:33:15,640 --> 01:33:18,360
Speaker 6: any kind of commodity. I am certainly old enough. I

1651
01:33:18,400 --> 01:33:20,840
Speaker 6: don't think you are quite as old to remember in

1652
01:33:20,880 --> 01:33:26,360
Speaker 6: the early nineteen seventies when they had price controls on gas, yes,

1653
01:33:26,400 --> 01:33:29,840
Speaker 6: under President Nixon, and you went to the gas station

1654
01:33:30,040 --> 01:33:32,639
Speaker 6: based on whether your license plate was odd or even

1655
01:33:32,760 --> 01:33:34,040
Speaker 6: and you know what, when they got rid of the

1656
01:33:34,040 --> 01:33:37,519
Speaker 6: price controls, everything got better. So it's just kind of

1657
01:33:37,520 --> 01:33:40,200
Speaker 6: an early example, goes way back. But we've been working

1658
01:33:40,240 --> 01:33:43,479
Speaker 6: on these kinds of things for literally decades since the

1659
01:33:43,600 --> 01:33:47,439
Speaker 6: Grace Commission report was issued in nineteen eighty four. In

1660
01:33:47,479 --> 01:33:50,280
Speaker 6: the President Reagan. I joined in nineteen eighty six and

1661
01:33:50,400 --> 01:33:52,639
Speaker 6: have been working there since, working here since then.

1662
01:33:53,160 --> 01:33:56,640
Speaker 2: So here's the thing. We've got this Center for Medicare

1663
01:33:56,720 --> 01:33:59,680
Speaker 2: and Medicaid Innovation, which, yeah, so you can hear it

1664
01:33:59,720 --> 01:34:01,920
Speaker 2: on it Like everything else in DC, it's got oh

1665
01:34:01,920 --> 01:34:05,040
Speaker 2: that's a really interesting name. And you know, thank goodness

1666
01:34:05,080 --> 01:34:08,479
Speaker 2: that the Obamacare, the Affordable Care Act, had this, this

1667
01:34:08,600 --> 01:34:11,599
Speaker 2: office being created that was going to work to innovate

1668
01:34:11,720 --> 01:34:15,320
Speaker 2: Medicare and Medicaid, two major programs that certainly could benefit

1669
01:34:15,360 --> 01:34:20,320
Speaker 2: from having some innovative ideas. Apparently not so much. So, Tom,

1670
01:34:20,400 --> 01:34:23,519
Speaker 2: I'm shocked that I'm shocked that no innovation was produced

1671
01:34:23,520 --> 01:34:23,880
Speaker 2: out of this.

1672
01:34:24,760 --> 01:34:26,880
Speaker 6: Well, not only was there no innovation, there was a

1673
01:34:26,880 --> 01:34:30,880
Speaker 6: waste of money. According to the Congressional Budget Office, the

1674
01:34:30,960 --> 01:34:33,599
Speaker 6: DM of my models as they're called payment models, which

1675
01:34:33,600 --> 01:34:36,920
Speaker 6: as they've two point eight billion between twenty eleven and

1676
01:34:36,960 --> 01:34:39,040
Speaker 6: twenty twenty and so that they cost five point four

1677
01:34:39,200 --> 01:34:43,599
Speaker 6: billion and continue to waste money. They've eliminated a number

1678
01:34:43,640 --> 01:34:45,680
Speaker 6: of them. We had a survey which is on our

1679
01:34:45,720 --> 01:34:50,400
Speaker 6: website CCADW dot org. You know, majority two thirds plus

1680
01:34:50,400 --> 01:34:56,040
Speaker 6: of people think that this agency should be certainly have

1681
01:34:56,120 --> 01:34:58,720
Speaker 6: more guidelines and get better results, or it should be

1682
01:34:58,720 --> 01:35:02,000
Speaker 6: eliminated because why should it continue to waste a billion

1683
01:35:02,040 --> 01:35:05,320
Speaker 6: dollars a year, which is what it gets on manded spending,

1684
01:35:05,320 --> 01:35:07,960
Speaker 6: meaning there's no control over it, and they just keep

1685
01:35:08,000 --> 01:35:10,719
Speaker 6: spending because there's no consequences in watching them for spending

1686
01:35:10,800 --> 01:35:13,599
Speaker 6: and wasting money. We can get least they should be

1687
01:35:13,760 --> 01:35:16,400
Speaker 6: allowed to continue if they produce something that saves money

1688
01:35:16,439 --> 01:35:17,040
Speaker 6: for medicare.

1689
01:35:17,840 --> 01:35:19,519
Speaker 2: Well, here's the thing that gets me. So I you know,

1690
01:35:19,560 --> 01:35:21,160
Speaker 2: I had, I had it was fortunate enough to sit

1691
01:35:21,200 --> 01:35:23,320
Speaker 2: down with your colleague, Eric Mouse a couple of weeks

1692
01:35:23,360 --> 01:35:26,960
Speaker 2: ago to talk about this thing, and Eric said something

1693
01:35:27,000 --> 01:35:31,240
Speaker 2: that I hadn't considered, which is that if we were

1694
01:35:31,280 --> 01:35:33,840
Speaker 2: to move right, we've got to listen. We've got an

1695
01:35:33,880 --> 01:35:36,479
Speaker 2: opportunity coming up. There's going to be a healthcare package

1696
01:35:36,520 --> 01:35:39,160
Speaker 2: we can offer up all kinds of different innovations and

1697
01:35:39,479 --> 01:35:42,559
Speaker 2: legitimate innovations. And if one of the recommendations were to

1698
01:35:42,560 --> 01:35:45,040
Speaker 2: be that we zero out and get rid of this

1699
01:35:45,640 --> 01:35:49,840
Speaker 2: Center for Medicare and Medicaid innovation. Even as you just

1700
01:35:49,840 --> 01:35:53,479
Speaker 2: said it's it's it's cost almost six billion dollars, CBO

1701
01:35:53,560 --> 01:35:59,360
Speaker 2: would nevertheless score that as a a a decrease in revenue.

1702
01:35:59,680 --> 01:36:02,320
Speaker 2: Right would score it as a tax hit as opposed

1703
01:36:02,320 --> 01:36:06,080
Speaker 2: to a savings to the American consumer. How does that.

1704
01:36:06,000 --> 01:36:10,080
Speaker 6: Work well, because it's supposed to be saving money. So

1705
01:36:10,400 --> 01:36:13,920
Speaker 6: if you spend money to save money, at least under

1706
01:36:13,960 --> 01:36:16,720
Speaker 6: the way that they calculated it, CBO initially said that

1707
01:36:16,840 --> 01:36:19,720
Speaker 6: seam am I would save money. Right said in the

1708
01:36:19,800 --> 01:36:21,880
Speaker 6: latest report they had, which was a couple of years ago,

1709
01:36:21,880 --> 01:36:25,920
Speaker 6: I think twenty twenty three, that they would think that

1710
01:36:26,160 --> 01:36:29,879
Speaker 6: making changes would make it better. But they've had fifteen

1711
01:36:29,960 --> 01:36:33,600
Speaker 6: years right to produce even a penny of savings, and

1712
01:36:33,640 --> 01:36:36,559
Speaker 6: it failed to do so. But instead of taking steps

1713
01:36:36,600 --> 01:36:39,639
Speaker 6: to make it more effective and do what it's supposed

1714
01:36:39,680 --> 01:36:42,599
Speaker 6: to do, unfortunately, they're doubling down. And they have two

1715
01:36:42,680 --> 01:36:47,240
Speaker 6: new models that are going to end up, by their

1716
01:36:47,280 --> 01:36:49,799
Speaker 6: own admission, busting beneficiaries money.

1717
01:36:50,120 --> 01:36:51,000
Speaker 2: Yet you're still.

1718
01:36:50,760 --> 01:36:52,919
Speaker 6: Going out and saying we're going to match the prices

1719
01:36:52,960 --> 01:36:58,320
Speaker 6: around the world to medicare part being part B, which

1720
01:36:58,360 --> 01:37:00,559
Speaker 6: is also which is just about worst thing.

1721
01:37:00,479 --> 01:37:03,120
Speaker 2: You can do, you know, because we're going to talk,

1722
01:37:03,160 --> 01:37:04,519
Speaker 2: let's just talk about it as I just I want

1723
01:37:04,560 --> 01:37:05,960
Speaker 2: to say this because we're going to talk in a

1724
01:37:06,000 --> 01:37:08,160
Speaker 2: couple of minutes, me and the listeners about this new

1725
01:37:08,200 --> 01:37:11,360
Speaker 2: Animal Farm movie that's coming out in which they've changed

1726
01:37:11,360 --> 01:37:14,639
Speaker 2: the villain to be capitalists and they've changed the ending

1727
01:37:14,680 --> 01:37:18,439
Speaker 2: so that the socialist system works. But if you're just

1728
01:37:18,520 --> 01:37:21,320
Speaker 2: sort of teasing it for down the road, but you know,

1729
01:37:21,360 --> 01:37:25,559
Speaker 2: this is what we're talking about here, we have it's

1730
01:37:25,720 --> 01:37:28,360
Speaker 2: it's don't believe you know what's in front of your eyes.

1731
01:37:28,479 --> 01:37:31,360
Speaker 2: You know, believe what I'm what I'm telling you. But

1732
01:37:31,520 --> 01:37:33,120
Speaker 2: this is the thing that gets me right as you

1733
01:37:33,160 --> 01:37:36,240
Speaker 2: point out, and again we can be very diplomatic about this.

1734
01:37:36,479 --> 01:37:39,519
Speaker 2: One of the problems with programs like these is that

1735
01:37:39,560 --> 01:37:43,240
Speaker 2: when our friends and allies want to do something profoundly stupid,

1736
01:37:43,760 --> 01:37:46,000
Speaker 2: it allows them, It gives them room to do something

1737
01:37:46,040 --> 01:37:48,639
Speaker 2: profoundly stupid that we know, we know it's not going

1738
01:37:48,680 --> 01:37:52,920
Speaker 2: to work, and yet and yet the the the offices

1739
01:37:52,960 --> 01:37:55,919
Speaker 2: are there and they're being utilized to push bad policy.

1740
01:37:56,120 --> 01:37:57,160
Speaker 2: Talk a little bit about that.

1741
01:37:58,200 --> 01:38:00,920
Speaker 6: Well, sure, just because the money is does not need

1742
01:38:01,120 --> 01:38:02,800
Speaker 6: that it needs to be spent, doesn't mean it needs

1743
01:38:02,840 --> 01:38:06,800
Speaker 6: to be right because it has already proven to not work.

1744
01:38:06,960 --> 01:38:09,519
Speaker 6: And we thought that the objective of the administration and

1745
01:38:09,600 --> 01:38:12,040
Speaker 6: it is. Believe me, they have cut regulations, we have

1746
01:38:12,160 --> 01:38:16,120
Speaker 6: saved money. The economy grew better than anybody expected in.

1747
01:38:16,080 --> 01:38:16,719
Speaker 2: The last quarter.

1748
01:38:16,760 --> 01:38:19,200
Speaker 6: They're doing a lot of amazing things, but every once

1749
01:38:19,240 --> 01:38:22,599
Speaker 6: in a while, and a billion of dollars isn't a lot,

1750
01:38:22,640 --> 01:38:25,680
Speaker 6: but it's certainly something. And they're trying to lower the

1751
01:38:25,720 --> 01:38:28,559
Speaker 6: cost of health care. This has proven to fail to

1752
01:38:28,600 --> 01:38:32,440
Speaker 6: do so. Rights controls don't lower costs. They may work temporarily,

1753
01:38:32,479 --> 01:38:34,880
Speaker 6: but of the long term, it's less research and development.

1754
01:38:35,479 --> 01:38:39,680
Speaker 6: And this was an Obama care program. They'd like to

1755
01:38:40,040 --> 01:38:43,880
Speaker 6: certainly eliminate as much as possible of Obamacare and make

1756
01:38:43,920 --> 01:38:46,840
Speaker 6: whatever is left work better. This hasn't worked, So it's

1757
01:38:46,920 --> 01:38:50,840
Speaker 6: unclear to us why they are trying to continue to

1758
01:38:50,880 --> 01:38:53,720
Speaker 6: spend the money here and create new models when they

1759
01:38:53,720 --> 01:38:56,400
Speaker 6: have consistently failed. The philosophy, by the way, is not

1760
01:38:56,479 --> 01:39:00,360
Speaker 6: the issue. It's how the programs work. In right federal

1761
01:39:00,400 --> 01:39:03,599
Speaker 6: current because it doesn't matter if they have not saved

1762
01:39:03,640 --> 01:39:06,160
Speaker 6: any money, they still get paid right.

1763
01:39:06,560 --> 01:39:08,280
Speaker 2: And you know, it's one of those things I said

1764
01:39:08,280 --> 01:39:10,080
Speaker 2: this yesterday. Like for me, I look at this as

1765
01:39:10,080 --> 01:39:13,240
Speaker 2: a resource economics problem. We need to be spending money

1766
01:39:13,240 --> 01:39:17,640
Speaker 2: creating more residency programs, among other things. Unfortunately, those residency

1767
01:39:17,640 --> 01:39:21,080
Speaker 2: programs come out of Medicare dollars. And you know, if

1768
01:39:21,080 --> 01:39:23,320
Speaker 2: we're going to spend a couple of billion dollars that

1769
01:39:23,400 --> 01:39:26,360
Speaker 2: we don't have, let's I mean, obviously we should, we

1770
01:39:26,360 --> 01:39:29,000
Speaker 2: should maybe not spend money we don't have, but let's

1771
01:39:29,000 --> 01:39:30,960
Speaker 2: spend it work and actually do some good. I would

1772
01:39:31,000 --> 01:39:34,160
Speaker 2: much rather see this money spent on these kinds of

1773
01:39:34,800 --> 01:39:37,720
Speaker 2: residency programs. Tom, real quick, while I have you whether way,

1774
01:39:37,720 --> 01:39:40,639
Speaker 2: we're talking with Tom Shatsy's the president of Citizens Against

1775
01:39:40,680 --> 01:39:44,080
Speaker 2: Government Waste. Let's talk about the issue of price controls,

1776
01:39:44,120 --> 01:39:46,599
Speaker 2: because there's a lot of discussion about most favored nation.

1777
01:39:47,840 --> 01:39:51,799
Speaker 2: Many many countries around the world have benefited from US innovation.

1778
01:39:52,400 --> 01:39:55,960
Speaker 2: But we can't punish US innovators. Can we? How do

1779
01:39:56,040 --> 01:39:58,280
Speaker 2: we bring down the cost of pharmaceuticals here at home

1780
01:39:58,800 --> 01:40:01,879
Speaker 2: without destroying the innova ative infulves. And this is especially

1781
01:40:01,880 --> 01:40:05,639
Speaker 2: true here in Indianapolis where we've got such a huge

1782
01:40:06,280 --> 01:40:07,400
Speaker 2: pharmaceutical industry.

1783
01:40:08,560 --> 01:40:12,560
Speaker 6: Absolutely, the United States is the global leader in biopharmaceutical

1784
01:40:12,600 --> 01:40:15,120
Speaker 6: research and development. That was not always the case, and

1785
01:40:15,200 --> 01:40:17,200
Speaker 6: the reason one of the reasons that we became the

1786
01:40:17,280 --> 01:40:20,720
Speaker 6: leader is because other countries imposed price controls and the

1787
01:40:20,760 --> 01:40:23,800
Speaker 6: pharmaceutical companies were not making enough money to reinvest in

1788
01:40:23,880 --> 01:40:26,320
Speaker 6: new products. That costs themost two billion dollars to create

1789
01:40:26,320 --> 01:40:29,240
Speaker 6: a new drug, not that individual drug, but all the

1790
01:40:29,240 --> 01:40:31,840
Speaker 6: other R and D around it. That doesn't work because

1791
01:40:31,840 --> 01:40:34,120
Speaker 6: a lot of them don't make it to market and

1792
01:40:34,160 --> 01:40:36,360
Speaker 6: they have to get their money back. That's simple mask.

1793
01:40:36,720 --> 01:40:39,200
Speaker 6: So if you're saying to a company, even if your

1794
01:40:39,280 --> 01:40:42,280
Speaker 6: drug costs X, we're going to not let you get

1795
01:40:42,479 --> 01:40:45,599
Speaker 6: x back. You have to charge what other countries get

1796
01:40:45,600 --> 01:40:47,240
Speaker 6: to pay because you've done the R and D and

1797
01:40:47,240 --> 01:40:49,240
Speaker 6: that's why they pay less. So one way is to

1798
01:40:49,280 --> 01:40:51,200
Speaker 6: make other countries pay more. There was a deal with

1799
01:40:51,280 --> 01:40:54,519
Speaker 6: Great Britain they would pay twenty five percent more. That

1800
01:40:54,640 --> 01:40:56,760
Speaker 6: is what we've been talking about for a long time,

1801
01:40:56,920 --> 01:41:00,760
Speaker 6: right inside of these trade deals, so that these countries

1802
01:41:01,160 --> 01:41:04,560
Speaker 6: don't free ride on our research and development. Don't penalize

1803
01:41:04,680 --> 01:41:08,840
Speaker 6: US companies by importing socialist price control, because eventually you're

1804
01:41:08,840 --> 01:41:10,880
Speaker 6: going to have what we would call in an invisible

1805
01:41:11,160 --> 01:41:14,840
Speaker 6: grave yard of patients drugs that are not developed, and

1806
01:41:14,880 --> 01:41:18,800
Speaker 6: therefore there is no cure and no treatment, and patients

1807
01:41:18,880 --> 01:41:20,080
Speaker 6: will not get what they need.

1808
01:41:20,479 --> 01:41:23,599
Speaker 2: Amen to that. Listen, Tom, I hope you're you're taking

1809
01:41:23,680 --> 01:41:27,559
Speaker 2: the next week off and spending a little time taking

1810
01:41:27,560 --> 01:41:29,720
Speaker 2: a little rest, because Lord knows you guys, you and

1811
01:41:30,000 --> 01:41:32,840
Speaker 2: your colleagues and Citizens against Government Waste, you guys certainly

1812
01:41:32,880 --> 01:41:33,320
Speaker 2: deserve it.

1813
01:41:34,240 --> 01:41:34,559
Speaker 4: Well.

1814
01:41:34,560 --> 01:41:36,599
Speaker 6: Thank you, Andrew. And that's and we always appreciate working

1815
01:41:36,600 --> 01:41:38,639
Speaker 6: with you and all the things that you do as well,

1816
01:41:38,800 --> 01:41:39,879
Speaker 6: So you holidays.

1817
01:41:40,120 --> 01:41:42,320
Speaker 2: I was I promise I was not fishing for a combo,

1818
01:41:42,360 --> 01:41:44,760
Speaker 2: but I will nevertheless take it to take together a

1819
01:41:44,760 --> 01:41:45,240
Speaker 2: long time.

1820
01:41:45,280 --> 01:41:46,320
Speaker 6: It's great things.

1821
01:41:46,400 --> 01:41:50,160
Speaker 2: Yes, it's take care. That was Tom shats. He's president

1822
01:41:50,200 --> 01:41:53,599
Speaker 2: against Citizens against Government Waste. Go would check them out online.

1823
01:41:53,600 --> 01:41:58,200
Speaker 2: I also tweeted out his information earlier. Listen, as I teased,

1824
01:41:58,240 --> 01:41:59,920
Speaker 2: when we come back, I got to talk about this

1825
01:42:00,200 --> 01:42:03,760
Speaker 2: animal farm movie. Point of personal privilege on this because

1826
01:42:03,760 --> 01:42:05,400
Speaker 2: I I about hit the roof when I heard about

1827
01:42:05,400 --> 01:42:08,120
Speaker 2: this I'm Andrew Langer in for Tony CAATs. This is

1828
01:42:08,160 --> 01:42:11,280
Speaker 2: Tony CAATs Today. Oh it's not Christmas until you play

1829
01:42:11,360 --> 01:42:16,080
Speaker 2: Christmas in Hollis by run DMC. I'm Andrew Langer joining

1830
01:42:16,080 --> 01:42:19,240
Speaker 2: you today for for Tony Katz Tony Cats Today. So

1831
01:42:19,280 --> 01:42:21,519
Speaker 2: I'm glad I could join you on this Christmas Eve eve, No,

1832
01:42:21,840 --> 01:42:26,559
Speaker 2: not New Year's Eve, Christmas Eve. Yeap, glad to be here.

1833
01:42:28,120 --> 01:42:32,240
Speaker 2: That's amazing. This this helps kick off the Christmas season

1834
01:42:32,280 --> 01:42:38,400
Speaker 2: for me. This one and and Father Christmas by the Kinks.

1835
01:42:38,400 --> 01:42:41,000
Speaker 2: Anyway they go, they'll go hand in hand. The only

1836
01:42:41,000 --> 01:42:44,479
Speaker 2: one I didn't play today was Bruce Springsteen's Santa Claus

1837
01:42:44,560 --> 01:42:47,040
Speaker 2: Is Coming to Town, which, by the way, in terms

1838
01:42:47,040 --> 01:42:50,640
Speaker 2: of early careers in radio, I got in trouble for

1839
01:42:50,880 --> 01:42:53,160
Speaker 2: the true story. If you've ever you know that one,

1840
01:42:53,160 --> 01:42:58,040
Speaker 2: it's the one Sanna Clauses Come into Town. But I

1841
01:42:58,200 --> 01:43:01,800
Speaker 2: was doing music radio in my high school and that

1842
01:43:01,840 --> 01:43:03,719
Speaker 2: really just meant that we had a little DJ booth

1843
01:43:04,240 --> 01:43:07,720
Speaker 2: and music would play in the cafeteria, and I did

1844
01:43:07,720 --> 01:43:11,080
Speaker 2: a Christmas music show and all of a sudden, kids

1845
01:43:11,080 --> 01:43:14,000
Speaker 2: started banging on the tables to the drums to Max

1846
01:43:14,040 --> 01:43:17,800
Speaker 2: Weinberg's drums and Santa Claus's coming to town, and all

1847
01:43:17,840 --> 01:43:20,880
Speaker 2: at once. The proctor in my high school, the lunch

1848
01:43:20,960 --> 01:43:23,760
Speaker 2: room proctor burst into the studio and demanded that I

1849
01:43:23,800 --> 01:43:26,200
Speaker 2: turn it off. That's, by the way, not the first time,

1850
01:43:26,479 --> 01:43:29,559
Speaker 2: I'm sorry, not the last time a program director pursed

1851
01:43:29,560 --> 01:43:31,559
Speaker 2: into a studio and demand that I turned something off.

1852
01:43:31,760 --> 01:43:33,760
Speaker 2: But that's a story for a different day. Listen. I

1853
01:43:33,800 --> 01:43:36,519
Speaker 2: teased this before I was asked, you know, a couple

1854
01:43:36,560 --> 01:43:40,680
Speaker 2: of days ago, how I came to my beliefs. I

1855
01:43:40,720 --> 01:43:44,360
Speaker 2: was at a party, and you know, normally don't talk

1856
01:43:44,439 --> 01:43:46,400
Speaker 2: politics with people. There was a reason why I wound

1857
01:43:46,479 --> 01:43:50,000
Speaker 2: up talking politics with this woman. And you know, one

1858
01:43:50,040 --> 01:43:52,639
Speaker 2: of the things I came to my conservatism through ardent

1859
01:43:52,720 --> 01:43:56,320
Speaker 2: anti communism. And among the reasons why I came to

1860
01:43:56,400 --> 01:43:59,160
Speaker 2: my ardent anti communism was that I read both nineteen

1861
01:43:59,240 --> 01:44:02,240
Speaker 2: eighty four Animal Farm by George Orwell when I was

1862
01:44:02,240 --> 01:44:04,439
Speaker 2: in high school, and I understood the danger and the

1863
01:44:04,479 --> 01:44:09,280
Speaker 2: threat of socialism. For those of you unfamiliar with Animal Farm,

1864
01:44:09,520 --> 01:44:17,440
Speaker 2: it is an allegory about the Russian Revolution, specifically Stalin's

1865
01:44:17,479 --> 01:44:20,599
Speaker 2: takeover of the Soviet Revolution in the wake of the

1866
01:44:20,640 --> 01:44:26,880
Speaker 2: death of Vladimir Lenin and the warnings of Stalinism that

1867
01:44:26,960 --> 01:44:30,760
Speaker 2: George Orwell was making, because you know at the end

1868
01:44:30,800 --> 01:44:32,400
Speaker 2: of it, in fact, the very famous line. There are

1869
01:44:32,400 --> 01:44:35,200
Speaker 2: two very famous lines. Let's start with this one, which

1870
01:44:35,240 --> 01:44:36,840
Speaker 2: is very early on in the book. This is from

1871
01:44:36,880 --> 01:44:40,240
Speaker 2: the nineteen fifty four animated movie Let's Play cutt number fourteen.

1872
01:44:41,680 --> 01:44:52,400
Speaker 15: We animals are brothers, large or small, clever or shimbu offiers,

1873
01:44:52,800 --> 01:44:57,320
Speaker 15: No and forever, All animals.

1874
01:45:00,200 --> 01:45:04,080
Speaker 2: And that character is supposed to be representing either krom

1875
01:45:04,080 --> 01:45:06,839
Speaker 2: Marks or Vladimir Lenin are both. Probably Again, the allegory

1876
01:45:06,880 --> 01:45:09,720
Speaker 2: doesn't have to be straight on now and forever. All

1877
01:45:09,760 --> 01:45:12,439
Speaker 2: animals are equal, except by the tail end of the

1878
01:45:12,479 --> 01:45:15,559
Speaker 2: book and the tail end of the movie. There is

1879
01:45:15,600 --> 01:45:18,600
Speaker 2: an addendum to these seven rules. This is from the

1880
01:45:18,680 --> 01:45:21,240
Speaker 2: nineteen ninety five I'm Sorry, the nineteen ninety nine version

1881
01:45:21,240 --> 01:45:24,200
Speaker 2: of the movie Let's Play Out number fifteen. Eat it

1882
01:45:24,240 --> 01:45:29,880
Speaker 2: to me. All animals are equal book.

1883
01:45:30,040 --> 01:45:33,960
Speaker 15: Some animals are more equal than others.

1884
01:45:35,200 --> 01:45:38,560
Speaker 2: Some animals are equal, but more animals are equal. But

1885
01:45:38,680 --> 01:45:41,200
Speaker 2: some animals are more equal than others. In other words,

1886
01:45:41,280 --> 01:45:44,719
Speaker 2: sort of accurately underscoring the problems of the Soviet system

1887
01:45:45,000 --> 01:45:49,440
Speaker 2: that a ruling class emerged, the pollit Bureau, the Noman klautura.

1888
01:45:49,439 --> 01:45:50,800
Speaker 2: I mean I can go down the road and talk

1889
01:45:50,840 --> 01:45:54,040
Speaker 2: about sort of the sort of the elites in Soviet

1890
01:45:54,120 --> 01:45:58,800
Speaker 2: society and the problems they're in. So now we have

1891
01:45:58,920 --> 01:46:01,800
Speaker 2: a new version of Animal Farm that is coming out

1892
01:46:01,800 --> 01:46:05,840
Speaker 2: this spring, done by Andy Serkis, and it is a

1893
01:46:06,040 --> 01:46:08,960
Speaker 2: fundamental abomination. Let me just play a little bit of

1894
01:46:09,000 --> 01:46:18,680
Speaker 2: the trailer. Here's cut number twelve. God, good, dude, Hi's

1895
01:46:19,840 --> 01:46:23,880
Speaker 2: are going on vacation. I do hope it's somewhere good.

1896
01:46:24,360 --> 01:46:27,759
Speaker 2: What does that say? That's your house? That sounds awesome.

1897
01:46:28,040 --> 01:46:28,960
Speaker 12: I love to laugh.

1898
01:46:31,640 --> 01:46:34,840
Speaker 2: It's a slaughter half. All right, we can end it,

1899
01:46:34,920 --> 01:46:37,120
Speaker 2: we can we can end that one there. So we've

1900
01:46:37,160 --> 01:46:40,400
Speaker 2: got this situation where it's about these animals, and it's

1901
01:46:40,400 --> 01:46:45,640
Speaker 2: about the corrupt nature of corporate farming blah blah blah,

1902
01:46:45,680 --> 01:46:48,719
Speaker 2: and it's it's all of the sort of the political

1903
01:46:48,720 --> 01:46:51,320
Speaker 2: commentary is pulled out of it. Here. Let's hear cut

1904
01:46:51,400 --> 01:46:52,040
Speaker 2: number thirteen.

1905
01:46:52,960 --> 01:46:56,240
Speaker 1: Things aren't always what they seem lucky, and I'll help

1906
01:46:56,320 --> 01:46:57,840
Speaker 1: you decide what's right.

1907
01:46:58,640 --> 01:47:01,360
Speaker 2: I'm proud of you, kid, of all of us, you know,

1908
01:47:01,840 --> 01:47:05,440
Speaker 2: I'm proud of what we have done. It is pretty amazing,

1909
01:47:06,080 --> 01:47:09,240
Speaker 2: all of us working together. Oh yeah, sure, no, I

1910
01:47:09,280 --> 01:47:11,439
Speaker 2: get it all animals. I end it there, all of

1911
01:47:11,520 --> 01:47:14,720
Speaker 2: us working together, proud of what we're done. Because in

1912
01:47:14,760 --> 01:47:18,200
Speaker 2: this new version, the twenty twenty five woke version of

1913
01:47:18,240 --> 01:47:23,200
Speaker 2: Animal Farm, the villain is an Elon Musk like figure,

1914
01:47:23,720 --> 01:47:27,320
Speaker 2: and the socialists prevail in the end. They fix the ending.

1915
01:47:27,479 --> 01:47:29,920
Speaker 2: As my dad pointed out to me, this would be

1916
01:47:30,160 --> 01:47:35,640
Speaker 2: like someone changing an RAN's Atlas Shrugged so that the

1917
01:47:35,680 --> 01:47:38,519
Speaker 2: bureaucrats and the bureaucracy wins in the end. I mean,

1918
01:47:38,560 --> 01:47:43,400
Speaker 2: pick your ultra famous movie and turn the ending. You know,

1919
01:47:43,479 --> 01:47:45,800
Speaker 2: It's like it would be like George Lucas changing a

1920
01:47:45,880 --> 01:47:49,280
Speaker 2: scene in the original Star Wars so that Gredo shoots first.

1921
01:47:49,280 --> 01:47:53,320
Speaker 2: Oh wait, that actually happened. You want to know why

1922
01:47:53,840 --> 01:47:58,080
Speaker 2: young people don't understand the problems of socialism, it's because

1923
01:47:58,120 --> 01:48:00,960
Speaker 2: of situations like this Animal for many. Listen, I want

1924
01:48:01,000 --> 01:48:05,879
Speaker 2: to thank the team at WYBC and Tony Cats today Landon,

1925
01:48:06,240 --> 01:48:08,640
Speaker 2: I want to thank Tony and listen, guys, have a

1926
01:48:08,760 --> 01:48:11,880
Speaker 2: wonderful Christmas, a happy New Year. You see you next year.