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Speaker 1: Vice President JD. Vanson Wisconsin today demanding that Governor Evers

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Speaker 1: turnover snap data as well as information on Wisconsin's voter roles.

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Speaker 2: We will get to that in just a second.

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Speaker 1: Welcome in to the Thursday edition of The dano'donald Show.

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Speaker 1: If you would like to join us, four one four

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Speaker 1: seven nine nine eleven thirty is our at vitnas dot

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Speaker 1: dot com. Find me on social media. We are streaming

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Speaker 1: the show live via the danocam at Dan O'donaldshow on

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Speaker 1: find us on Instagram. We are at Dan o'donald's show

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Speaker 1: there as well as well pretty much everywhere YouTube as well.

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Speaker 1: We are streaming watch the show in glorious high definition

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Speaker 1: right here on the Dan o'donald's Show. Let's get right

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Speaker 1: to it and get to all of the stories that

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Speaker 1: we are following right now. Producer Eric, I don't have

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Speaker 1: access to our button bar here. I'm not exactly sure

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Speaker 1: what's going on. We will attempt to get us into

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Speaker 1: the show. We'll hold on one sec. Let's try to

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Speaker 1: get this. It just wouldn't be I mean, I suppose

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Speaker 1: I should be thankful that the only technical glitch we're

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Speaker 1: having today is the fact that I can't get the

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Speaker 1: stuff that I need to do a radio show. At

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Speaker 1: least we have a radio show that's on the air,

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Speaker 1: which apparently we didn't yesterday. So without any further ado,

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Speaker 1: let's get right into it. Vice President JD. Vance indeed

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Speaker 1: in Clover in western Wisconsin today, taking President and Trump's

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Speaker 1: message on the economy on the road, I want to talk.

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Speaker 3: About the stakes coming up in November, because it feels

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Speaker 3: like this election in November is very far away. But

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Speaker 3: if anything, the state of the Union should have showed

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Speaker 3: us that we cannot give power back to Congressional Democrats.

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Speaker 1: Much more coming off in just a second than at

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Speaker 1: five oh six, Congressman Derek Van Orden joins us to

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Speaker 1: talk about touring the Point Precision Machining Facility with the

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Speaker 1: Vice President today now. Earlier today, Vance held a joint

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Speaker 1: press conference in Washington with CMS Administrator doctor Oz to

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Speaker 1: halt more than two hundred and fifty million dollars in

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Speaker 1: quarterly medicaid funding over fraud concerns, giving Governor Tim Walls

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Speaker 1: sixty days to submit to a corrective action plan or

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Speaker 1: face even further cuts. Indirect talks between the US and

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Speaker 1: Iran concluding in Geneva today, Omani Mediators reports significant progress

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Speaker 1: made in those discussions. There'll be another round of them

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Speaker 1: continuing in Vienna next Weekmocrats in the Wisconsin legislature are

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Speaker 1: circulating an assisted suicide bill. We'll have the details coming

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Speaker 1: up in the four o'clock hour, and then we will

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Speaker 1: provide exclusive new details about the criminal charges filed against

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Speaker 1: a Wisconsin assembly woman. Are they even constitutional? We will

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Speaker 1: dive into it, coming up at about four fifteen. Right now,

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Speaker 1: the big story is in Plover, Wisconsin. Congressman Van Orden

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Speaker 1: touting President Trump's tax cuts in a joint appearance with

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Speaker 1: the Vice president.

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Speaker 3: You got the one big, beautiful bell gun.

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Speaker 4: Eighty eight percent of seniors will pay zero income tax

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Speaker 4: on their Social.

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Speaker 2: Security eighty eight percent. Those are the people that built

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Speaker 2: this nation. They built the building we're standing in now.

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Speaker 3: They built your home, they built your school. We must

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Speaker 3: honor our seniors. We have to the folks that are.

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Speaker 4: Working on the shop floor, which is absolutely a no

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Speaker 4: tax on overtime. Why should you pay the federal government

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Speaker 4: a cut of your overtime? You should not. That's in

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Speaker 4: the One Big Beautiful Bill. We are a pub culture

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Speaker 4: in the state of Wisconsin. When we go down to

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Speaker 4: the bar and we're watching the Packers game, to the brewers,

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Speaker 4: you know who's helping us, our servers, no tax on

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Speaker 4: their tips.

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Speaker 1: Obviously, Congressman Van Orden very fired up. He faces a

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Speaker 1: fierce battle for reelection in the third congressional district, as

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Speaker 1: Democrats have listed him among their top targets to flip

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Speaker 1: the House of Representatives. He will again face very likely

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Speaker 1: Rebecca Cook, who he beat in twenty twenty four, less

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Speaker 1: than two years ago. But obviously this is a very

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Speaker 1: different electorate and we will discuss that and much more

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Speaker 1: with the congressman coming up. At about five h six,

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Speaker 1: Vice President Vance gave a fiery speech, focusing of course

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Speaker 1: on the economy and sharing President Trump's economic message, but

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Speaker 1: also talking of all of the fraud that was uncovered

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Speaker 1: in Minnesota and why that directly impacts people in Wisconsin.

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Speaker 3: You get poorer, your tax dollars go to Somali fraudsters.

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Speaker 3: And worst of all, you've got special needs kids in

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Speaker 3: American communities that we ought to be helping, and instead

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Speaker 3: of helping them, we're helping fraudsters who don't have the

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Speaker 3: problem to begin with. That is a scandal, and it's

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Speaker 3: something that Joe Biden in Congressional Democrats promoted with their

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Speaker 3: open border, encouraged it, and funded it. Now, I'm here

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Speaker 3: to tell you that the job of your government is

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Speaker 3: not to open your borders and allow fraudsters to come

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Speaker 3: in and take advantage of you. The job of your

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Speaker 3: government is to shut the border and shut off the

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Speaker 3: fraud and that's exactly what we're doing in the Trump administration.

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Speaker 1: Now, the Vice President did take questions from reporters, and

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Speaker 1: one of them, Matt Smith of Channel twelve as well

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Speaker 1: as the statewide political show Upfront, asked a very pointed one,

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Speaker 1: Wisconsin is actually suing the federal government because it does

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Speaker 1: not want to turn over its data on snap food

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Speaker 1: stamp recipients or voter role data. And Vice President Vance

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Speaker 1: had a remarkably pointed answer to that refusal.

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Speaker 3: That is absurd. Ask yourself a question, why would the

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Speaker 3: government of Wisconsin not want to help us kick fraud

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Speaker 3: off of the welfare roles, and kick fraud off of

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Speaker 3: the voter rolls. And the only answer I can possibly

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Speaker 3: come up with is because they like to cheat. There's

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Speaker 3: no other real explanation. Now, the governor might say, In fact,

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Speaker 3: I'm sure the governor would say this, let me just

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Speaker 3: be charitable to those who disagree with us. The governor

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Speaker 3: would say, well, there isn't as much fraud as the

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Speaker 3: Trump administration believes there is. Well, even if that's true,

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Speaker 3: and it's not. But even if that's true, let's get

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Speaker 3: what fraud there is off the voter rolls and off

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Speaker 3: the welfare roles. You know the right number of people

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Speaker 3: who should be illegally voted in American elections zero? You

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Speaker 3: know the number of people who should be fraudiley collecting

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Speaker 3: food stamps zero. I want those benefits to exist for

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Speaker 3: the people who need them. The only way to promise

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Speaker 3: that is to get the fraud out of the system.

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Speaker 3: And that's what we're trying to do in the Trump administration.

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Speaker 3: No more fraud, no more corruption. It shouldn't be hard.

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Speaker 1: Now, since Vice President Vance was going over the numbers

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Speaker 1: that should be illegally voting zero, the number of people

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Speaker 1: who should have incorrect information on voter rolls.

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Speaker 2: Zero.

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Speaker 1: Let's get into the numbers that actually do have incorrect

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Speaker 1: data on Wisconsin's voter roles. According to Dan Lennington of

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Speaker 1: the Great Wisconsin Institute for Law and Liberty, there are

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Speaker 1: forty one thousand, seven hundred eighty four names on Wisconsin's

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Speaker 1: voter roles that have something significantly wrong with them. Twenty

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Speaker 1: four thousand, seven hundred thirty three people on the voter

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Speaker 1: rolls have a name mismatch, meaning that the name that

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Speaker 1: is given for the information corresponding to that name is

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Speaker 1: just incorrect. Eleven thousand, one hundred and seventy four people

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Speaker 1: have absolutely no driver's license record that can be cross

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Speaker 1: checked with the Department of Motor Vehicles DMV, but they

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Speaker 1: still appear on Wisconsin's voter rolls. Three thousand, one hundred

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Speaker 1: ten people have a date of birth mismatch, meaning that

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Speaker 1: their date of birth that might be listed on a

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Speaker 1: driver's license is not the same date of birth that

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Speaker 1: is listed on the voter record for that person. There

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Speaker 1: are two thousand, sixty nine people who simply have no

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Speaker 1: match whatsoever, no DMV record that can be matched with

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Speaker 1: someone who has a voting record, a name and a

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Speaker 1: date of birth mismatch six hundred eighty people just totally

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Speaker 1: in valid data. There are eighteen and nobody actually knows

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Speaker 1: Lennington ads just how many illegal aliens or other non

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Speaker 1: citizens are on Wisconsin's voter roles. This is a major,

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Speaker 1: major problem, not only that Wisconsin is absolutely in violation

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Speaker 1: of two different federal laws requiring them to oversee or

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Speaker 1: to turn over data that they oversee, data that they

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Speaker 1: control to the federal government. The first is the National

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Speaker 1: Voter Registration Act of nineteen ninety three, or NVORA, which

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Speaker 1: requires states to maintain accurate and current voter registration lists

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Speaker 1: for all federal elections, including making quote reasonable efforts to

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Speaker 1: remove ineligible voters. According to that statute, quote, each state

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Speaker 1: shall maintain for at least two years, and shall make

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Speaker 1: available for public inspection and, where available, photocopying at a

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Speaker 1: reasonable cost. All records concerning the implementation of programs and

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Speaker 1: activities can abducted for the purpose of ensuring the accuracy

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Speaker 1: and currency of official lists of eligible voters. For thirty

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Speaker 1: three years, that has not been particularly controversial that those

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Speaker 1: lists are to be made available not just to the

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Speaker 1: public but also to the federal government. The federal government

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Speaker 1: i e. The Congress actually does have final control over

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Speaker 1: how federal elections are conducted. Yes, time, place, and manner

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Speaker 1: in the Constitution is in fact given to the discretion

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Speaker 1: of state legislatures, but overseeing that is the Congress. The Congress,

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Speaker 1: save for changing how state legislatures pick senators. Back in

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Speaker 1: the day, back at the time of the framing of

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Speaker 1: the Constitution, there was no direct election of United States senators.

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Speaker 1: Senators were actually chosen by each state legislature.

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Speaker 2: If you can believe that.

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Speaker 1: The Congress, outside of the manner of choosing senators can

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Speaker 1: actually and this just makes sense, we do need to

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Speaker 1: have uniform elections for the Congress. We do need to

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Speaker 1: have uniform elections for the presidency of the United States.

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Speaker 1: Could you imagine if Wisconsin decided to hold its presidential

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Speaker 1: election in October, say Minnesota wanted to hold it's in July.

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Speaker 1: Obviously there needs to be uniformity, and there also needs

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Speaker 1: to be uniformity as it was envisioned under the NVA

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Speaker 1: in how voter lists are essentially regulated. Each state does

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Speaker 1: not have the right to cite its own privacy statutes,

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Speaker 1: which is what our esteemed Attorney General Josh Cole, is

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Speaker 1: attempting to do say, hey, look, we can't turn over

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Speaker 1: this data to you because we have state privacy laws. Nevertheless,

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Speaker 1: notwithstanding the fact that there are in fact privacy protections

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Speaker 1: built into not just the ENVR for the handling of

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Speaker 1: this data, but also the Civil Rights Act of nineteen sixty,

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Speaker 1: would you believe Governor Tony Evers, the liberal in good standing,

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Speaker 1: and his Attorney General Josh Cole, also a liberal and

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Speaker 1: good standing, are an open violation of the Civil Rights

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Speaker 1: Act of nineteen sixty.

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Speaker 2: Quote.

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Speaker 1: Any record or paper required by Section two oh seven

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Speaker 1: oh one of this Title to be retained and preserved, shall,

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Speaker 1: upon demand in writing by the Attorney General or his representative,

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Speaker 1: directed to the person having custody, possession, or control of

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Speaker 1: such record or paper, be made available for inspection, reproduction,

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Speaker 1: and copying at the principal office of such custodian by

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Speaker 1: the Attorney General or representative. This demand shall contain a

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Speaker 1: statement of the basis and the purpose. Therefore, what that

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Speaker 1: means in plain English is that the Attorney General, not

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Speaker 1: of Wisconsin, not of Minnesota, not of any state, but

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Speaker 1: of the United States of America can at any point

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Speaker 1: demand that voting records be turned over to the federal government. Now,

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Speaker 1: why would this be enshrined in the Civil Rights Act

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Speaker 1: of nineteen sixty. Well, the answer is pretty self explanatory,

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Speaker 1: because you had a whole lot of Democrat controlled states

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Speaker 1: in the South that didn't want black people voting because

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Speaker 1: those black people had a tendency to not vote for

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Speaker 1: these Southern Dixiecrat racist Democrats who wanted to ensure that

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Speaker 1: Jim Crow laws continued unabated. So in the Civil Rights

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Speaker 1: Act of nineteen sixty, the federal government said, hey, wait

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Speaker 1: a second, we need to make sure that you're actually

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Speaker 1: in compliance with the fourteenth Amendment of the United States Constitution.

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Speaker 1: We actually need to make sure that you are allowing

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Speaker 1: all people to vote. And since we have pretty good

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Speaker 1: reason to believe that a whole lot of these Democrat

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Speaker 1: controlled Southern states aren't doing that, we're going.

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Speaker 2: To need compliance.

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Speaker 1: And now, the Democrat controlled states aren't trying to keep

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Speaker 1: black people people from voting, They're trying to get as

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Speaker 1: many ineligible voters onto the roles as possible so that

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Speaker 1: they can be used for any nefarious purpose. It is

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Speaker 1: very easy when you have a name on the voter roles,

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Speaker 1: especially if there is some sort of address. It doesn't

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Speaker 1: even need to be a legitimate address. But if there

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Speaker 1: is an address attached to that name with mail in balloting,

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Speaker 1: it is very easy to simply get someone listed as say, oh,

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Speaker 1: I don't know, indefinitely confined to their homes and a

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Speaker 1: ballot permanently sent to that address, whether or not a

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Speaker 1: ballot is requested for each individual election or not. The

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Speaker 1: best part of all, you don't even need to show

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Speaker 1: a photo ID. The ballot just automatically keeps coming. Now,

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Speaker 1: the Evers administration is also refusing to turn over snap data.

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Speaker 1: Could that be part and parcel of widespread welfare fraud?

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Speaker 1: Bottom line is we don't know, because they're refusing to

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Speaker 1: allow an investigation into the data. Welcome back to the

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Speaker 1: Dan O'Donnell Show. It is a tour de force of truth,

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Speaker 1: the sort of truth that you used to get from

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Speaker 1: the rest of the media, but now sadly you only

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Speaker 1: really get here. Coming up in the four o'clock hour,

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Speaker 1: we are going to dive into an extremely controversial piece

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Speaker 1: of legislation that the Democrats are now circulating. It is

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Speaker 1: a proposed bill that as long as Republicans control the

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Speaker 1: legislature has absolutely no chance of passing. But it would

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Speaker 1: legalize assisted suicide in this state. Doctor assisted suicide is,

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Speaker 1: of course a highly controversial topic. We are going to

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Speaker 1: dive into it. Essentially, what the bill would do is

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Speaker 1: to allow terminally ill people, people who have been given

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Speaker 1: about six months or less to live, to with a

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Speaker 1: doctor in their own lives. This is just bad legislation,

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Speaker 1: quite frankly. We will dive into that coming up in

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Speaker 1: the four o'clock hour. Right now, Governor Tony Evers does

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Speaker 1: not want, under any circumstances to turnover voter role data

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Speaker 1: or any data from SNAP food Share Benefits lists, and

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Speaker 1: the state Assembly actually just passed legislation last week to

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Speaker 1: try to force the governor to release Snap data to

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Speaker 1: the federal government. The federal government obviously has a vested

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Speaker 1: interest in making sure that money is not going to fraudsters.

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Speaker 1: In fact, a couple of weeks ago, in early February,

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Speaker 1: I believe there was a massive Snap fraud case involving

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Speaker 1: a guy from Milwaukee who is originally from Heaven knows where.

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Speaker 1: I was not able to verify his citizenship status. Naturally,

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Speaker 1: he owned a corner store and he was running a

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Speaker 1: one point six million dollar food share fraud. It was

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Speaker 1: it was a snap benefit fraud. He was essentially selling

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Speaker 1: people food stamp. He was buying people's food stamps for

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Speaker 1: much less than they were worth, and then he was

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Speaker 1: billing the federal government for the full value. He was

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Speaker 1: then taking the money that he got from this scam

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Speaker 1: and going to the Gucci store and Nordstrom to buy

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Speaker 1: things for himself. It was just your classic case of fraud. Now,

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Speaker 1: would you not want to know just how many little

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Speaker 1: corner stores are doing this? Would you not want to know,

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Speaker 1: as a taxpayer, just how your money is being misspent

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Speaker 1: or actually being stolen from you through fraud. You would

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Speaker 1: probably want to know that, which would raise a very

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Speaker 1: interesting question. Why is it that Governor Evers is intent

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Speaker 1: on violating federal law in refusing to turn over this data,

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Speaker 1: and yes, like his refusal to turnover voter roll data,

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Speaker 1: this two violates federal law. Food stamps are under the

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Speaker 1: auspices of the Department of Agriculture, so the Secretary of

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Speaker 1: Agriculture has an immense amount of power over how this

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Speaker 1: SNAP program is implemented and the Food and Nutrition Act

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Speaker 1: of two thousand and eight, codified at seven USC. Section

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Speaker 1: twenty twenty, could not possibly be clearer. All records and

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Speaker 1: the entire information systems in which records are contained shall

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Speaker 1: be made available for inspection and audit by the Secretary,

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Speaker 1: subject to data and security protocols agreed to by the

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Speaker 1: state agency and the Secretary. Not only that, if a

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Speaker 1: state refuses to turn over that data, as Wisconsin has

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Speaker 1: repeatedly refused to do, then the Secretary is actually authorized

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Speaker 1: to turn the matter over to the United States Attorney General,

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Speaker 1: who can then sue to demand compliance and continued non

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Speaker 1: compliance even after a lawsuit is filed, notice is given,

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Speaker 1: and so forth. They can then withhold funds. They can

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Speaker 1: then even kick a state out of the SNAP program

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Speaker 1: entirely and say, Okay, you want to not allow us

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Speaker 1: to examine your data, you have control of the data.

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Speaker 1: It's now your data, and it's also totally your food

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Speaker 1: staff program. Good luck paying for it all. Obviously, what

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Speaker 1: we saw in Minnesota was the extreme example of a

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Speaker 1: state not only refusing to turn over data, which it

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Speaker 1: is and oh, by the way, the federal government has

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Speaker 1: already begun withholding funds. Just wait, there's going to of course,

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Speaker 1: there is going to be a federal court injunction stopping

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Speaker 1: the federal government from withholding the t two hundred fifty

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Speaker 1: million dollars that it just started to withhold from Minnesota

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Speaker 1: because reasons. Obviously, the injunction will get lifted and the

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Speaker 1: federal courts will obviously side with the Trump administration. It's

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Speaker 1: a well worn legal strategic pattern for Democrats and the

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Speaker 1: second Trump administration.

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Speaker 2: They simply sue.

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Speaker 1: They go to friendly left wing federal judges who then

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Speaker 1: issue nonsensical injunctions that, of course are not based on

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Speaker 1: any sort of constitutional precept or any sort of federal law,

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Speaker 1: but it's just designed to slow the Trump administration down

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Speaker 1: so they can't do in the short term what it

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Speaker 1: is that they want to do. In other words, Wisconsin

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Speaker 1: is directly violating two different, actually three different the Civil

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Speaker 1: Rights Act, the National Voter Registration Act of nineteen ninety three,

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Speaker 1: as well as the two thousand and eight Statute the

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Speaker 1: Food and Nutrition Act, which essentially modernized the food stamp program.

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Speaker 1: In their refusal, their steadfast refusal to comply with federal

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Speaker 1: demands to simply turn over the lists, and as Vice

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Speaker 1: President Vance said, what possible reason could you have to

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Speaker 1: not want to turn over the voter role list? What

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Speaker 1: possible reason could you have to not want to turn

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Speaker 1: over food stamp lists? When there are and I should

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Speaker 1: be perfectly clear about this, because the argument that the

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Speaker 1: EBS administration has been making as it joined multi state

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Speaker 1: lawsuits to try to stop the federal government from getting

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Speaker 1: access to its voter role and SNAP benefit data, they're

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Speaker 1: saying that, well, this violates state privacy laws. Okay, Well,

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Speaker 1: first of all, state privacy laws do not trump federal law.

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Speaker 1: This is the Constitution's supremacy clause. Federal law always trumps

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Speaker 1: state law. There is a conflict between state law and

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Speaker 1: federal law. Federal law wins. Constitution says, so nothing you

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Speaker 1: can do about that. Not only that, there are protections

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Speaker 1: for voter role data as well as SNAP food Stamp

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Speaker 1: assistance information people who are on SNAP.

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Speaker 2: It's actually in the statute.

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Speaker 1: It is in the Food Assistance Act of two thousand

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Speaker 1: and eight that there are procedural safeguards for people's data.

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Speaker 1: Data isn't just your Your personal information isn't just out there.

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Speaker 1: It's not as though you're going to have your Social

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Speaker 1: Security number and your driver's license number just out there.

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Speaker 1: This is the same sort of paranoid fear mongering that

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Speaker 1: Democrats had, remember when Elon Musk and Doge during the

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Speaker 1: earliest days of the Trump administration last year. We're going

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Speaker 1: in and attempting to find all of this fraud that

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Speaker 1: we're still sort of uncovering. Democrats will saying, oh my gosh,

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Speaker 1: Elon Musk has access to my social Security data. Yes, yes,

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Speaker 1: please terrify the boomer libs that Elon Musk, the richest

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Speaker 1: man in the world, who's probably going to be a

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Speaker 1: trillionaire by the end of twenty twenty six, he definitely

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Speaker 1: wants your Social Security check for two thousand dollars. Vice

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Speaker 1: President Vance in Plover today also waded into significant controversy

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Speaker 1: here in Wisconsin over data centers. We'll dive into that

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Speaker 1: when the Dan O'Donnell show returns. All right, for those

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Speaker 1: who are watching via the dan ocam, We're gonna have

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Speaker 1: to end the stream a little early today just because

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Speaker 1: just way too many technical glitches here today.

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Speaker 2: We'll try again tomorrow.

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Speaker 1: Basically, we had pretty much everything that could possibly go

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Speaker 1: wrong go wrong, and quite frankly, it's way more trouble

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Speaker 1: than it's worth, so please do listen to us on

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Speaker 1: iHeartRadio or the good old fashioned radio. Vice President JD.

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Speaker 1: Vance in Wisconsin today. He was touring a machining facility

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Speaker 1: in Plover with Wisconsin Congressman Derek Van Orden, And easily,

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Speaker 1: I think the most controversial poly see issue in Wisconsin

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Speaker 1: right now, I don't even think it's particularly close is

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Speaker 1: data centers. There was actually an effort to recall the

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Speaker 1: mayor of Port, Washington over a proposal to put data

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Speaker 1: centers in that community. And there has been just out

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Speaker 1: and out war over data centers here in Wisconsin. Wherever

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Speaker 1: there is a new data center proposed, there is going

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Speaker 1: to be vehement opposition from people in the com community.

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Speaker 1: There is a certain amount of nimbiism in all this.

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Speaker 1: Not in my backyard, to be sure, but there are

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Speaker 1: legitimate gripes about massive facilities going up on what might

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Speaker 1: have otherwise been pristine farmland or forest land or well

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Speaker 1: usually these are going up in industrial parks, but there

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Speaker 1: are legitimate concerns. And Vice President Vance was asked about

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Speaker 1: data s in Wisconsin. Wisconsin is seen as a perfect

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Speaker 1: location for data centers because we have a whole lot

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Speaker 1: of flat land. We have easy access to a massive

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Speaker 1: supply of fresh water, and we have a relatively cool climate,

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Speaker 1: meaning that you don't need to spend as much, especially

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Speaker 1: in the winter months, on cooling. It takes a tremendous

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Speaker 1: amount of energy not just to power the data centers,

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Speaker 1: but to also keep them cool. I want you to

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Speaker 1: think about your laptop. When you use a laptop and

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Speaker 1: you have a whole lot of tabs open. In my case,

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Speaker 1: if you're using it to stream a radio slash video broadcast, you.

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Speaker 2: Will use a whole lot of energy.

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Speaker 1: It heats up, and there's a fan inside your laptop

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Speaker 1: that keeps the process or cool so the whole thing

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Speaker 1: doesn't overheat. Now, I want you to imagine that on

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Speaker 1: a massive, massive scale, and that's what a data center

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Speaker 1: essentially is. This is why you really can't put data

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Speaker 1: centers up in Florida, because it just is way too hot.

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Speaker 1: It would cost way too much to constantly run fans,

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Speaker 1: to constantly be putting essentially water on the cooling mechanisms.

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Speaker 1: To cool down the processor is to cool down the

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Speaker 1: just insanely hot machinery that is inside these things. Vance today,

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Speaker 1: did I think an excellent job in sort of threading

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Speaker 1: the needle between the people who are vehemently opposed to

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Speaker 1: data centers here while also understanding helping them to understand

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Speaker 1: that data center technology is an absolute need in the

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Speaker 1: economy of the future, and frankly of the President.

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Speaker 3: Look, there's a good news and a bad news with

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Speaker 3: data centers.

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Speaker 5: Now.

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Speaker 3: The good news is, you know, first of all, they're

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Speaker 3: big facilities. You create a lot of construction jobs, and

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Speaker 3: this next generation of the technological revolution, you need those

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Speaker 3: data centers to make that run. Those data centers are

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Speaker 3: like the gasoline of the technology revolution that we're going

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Speaker 3: to see over the next seventy five years. And I

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Speaker 3: don't know about you all, but I want America to

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Speaker 3: win that technology revolution. I don't want China or some

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Speaker 3: other country to win it. And so that's why we

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Speaker 3: got to have these things. Now, here's the downside. If

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Speaker 3: those centers are built and the local governments aren't ensuring

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Speaker 3: that there's enough power for those data centers, and it's

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Speaker 3: going to break. It's going to increase electricity costs for

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Speaker 3: everybody else. And so what we think the data centers

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Speaker 3: have got to do is they've got to work with

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Speaker 3: the local governments, with the state governments and in the

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Speaker 3: federal government. We are trying to do everything that we

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Speaker 3: can so that if you build a data center, for example,

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Speaker 3: you can just build a power plant right next door.

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Speaker 3: What I think we ought to be working towards is

436
00:27:42,520 --> 00:27:46,160
Speaker 3: you build those data centers, and electricity costs come down

437
00:27:46,280 --> 00:27:49,359
Speaker 3: for American citizens instead of going up for American citizens.

438
00:27:49,600 --> 00:27:52,000
Speaker 3: The data centers can afford it. We got to make

439
00:27:52,000 --> 00:27:54,600
Speaker 3: sure that they're good neighbors so that when they come

440
00:27:54,640 --> 00:27:58,080
Speaker 3: in and build these great buildings, the people in their neighborhood,

441
00:27:58,080 --> 00:28:00,720
Speaker 3: the people in their community benefit to and that's through

442
00:28:00,760 --> 00:28:03,119
Speaker 3: lower power. That's the best way they can be good neighbors.

443
00:28:03,080 --> 00:28:03,199
Speaker 5: Now.

444
00:28:03,400 --> 00:28:06,479
Speaker 1: Of course, what Vance is talking about is small scale

445
00:28:06,600 --> 00:28:10,000
Speaker 1: nuclear reactors that essentially provide all the power that a

446
00:28:10,080 --> 00:28:13,240
Speaker 1: data center would need, so said center does not need

447
00:28:13,280 --> 00:28:17,919
Speaker 1: to purchase electricity off of a nearby power grid. That

448
00:28:18,080 --> 00:28:22,240
Speaker 1: is a whole another can of worms. It is particularly

449
00:28:22,280 --> 00:28:23,959
Speaker 1: the Boomer Libs folks.

450
00:28:24,400 --> 00:28:26,719
Speaker 2: I was not of age.

451
00:28:26,800 --> 00:28:29,160
Speaker 1: I was not old enough to remember a three mile

452
00:28:29,240 --> 00:28:32,480
Speaker 1: island I believe happened before I was born. Sure, Nobel

453
00:28:33,800 --> 00:28:38,600
Speaker 1: terrified the Boomer Libs so much so that the cleanest

454
00:28:38,800 --> 00:28:43,920
Speaker 1: and statistically safest form of generating power. Nuclear has been

455
00:28:43,960 --> 00:28:47,360
Speaker 1: demonized like nothing I have ever seen. I can remember

456
00:28:47,400 --> 00:28:51,080
Speaker 1: being a kid growing up watching The Simpsons and wondering

457
00:28:51,120 --> 00:28:54,320
Speaker 1: why it was after learning just a little bit about

458
00:28:54,400 --> 00:28:58,520
Speaker 1: how nuclear energy actually worked, about why everyone was so

459
00:28:58,680 --> 00:29:01,200
Speaker 1: scared of mister burn. I mean, just look at that.

460
00:29:01,600 --> 00:29:04,480
Speaker 1: You had the boomer libs making the owner of the

461
00:29:04,600 --> 00:29:08,640
Speaker 1: nuclear power plant the ultimate bad guy in this show.

462
00:29:08,760 --> 00:29:14,480
Speaker 1: So share noble clearly for an entire generation of policy

463
00:29:14,560 --> 00:29:19,840
Speaker 1: makers made nuclear power all but impossible to harness. Well,

464
00:29:19,920 --> 00:29:25,400
Speaker 1: now it is not so much a luxury but almost

465
00:29:25,400 --> 00:29:29,680
Speaker 1: a necessity. Again for the economy of the future. We

466
00:29:29,840 --> 00:29:35,440
Speaker 1: don't just need to power AI. Imagine powering Amazon, powering Meta,

467
00:29:35,520 --> 00:29:39,480
Speaker 1: Facebook x, all of the biggest sites on planet Earth.

468
00:29:39,480 --> 00:29:43,440
Speaker 1: They can easily afford to put up small scale nuclear

469
00:29:43,520 --> 00:29:46,240
Speaker 1: power plants that will serve them. And here's the kicker.

470
00:29:46,320 --> 00:29:50,920
Speaker 1: Oftentimes they will serve the surrounding community. And in exchange

471
00:29:51,600 --> 00:29:55,360
Speaker 1: for allowing a data center or multiple data centers to

472
00:29:55,400 --> 00:29:59,320
Speaker 1: be built in a given community, what can be exchanged

473
00:29:59,560 --> 00:30:05,480
Speaker 1: in in offering a piece treaty to the upset neighbors is, hey,

474
00:30:05,800 --> 00:30:09,000
Speaker 1: we will essentially pay for all of your utility bills.

475
00:30:09,240 --> 00:30:12,040
Speaker 1: We will pay for your power bills because of all

476
00:30:12,080 --> 00:30:16,040
Speaker 1: of the surplus power that we're generating with our private

477
00:30:16,160 --> 00:30:19,680
Speaker 1: power plant that is located right next to our center.

478
00:30:20,520 --> 00:30:24,760
Speaker 1: That is something that clearly the Trump administration in visions

479
00:30:24,880 --> 00:30:28,240
Speaker 1: and I do believe is actually the wave of the future,

480
00:30:28,280 --> 00:30:32,240
Speaker 1: this idea that there should just be one monopoly on

481
00:30:33,120 --> 00:30:37,760
Speaker 1: providing power to a given location when we can theoretically

482
00:30:37,880 --> 00:30:42,000
Speaker 1: do small scale nuclear very safely and very efficiently. That,

483
00:30:42,080 --> 00:30:46,520
Speaker 1: of course, is a different conversation, but this is fundamentally

484
00:30:46,640 --> 00:30:50,480
Speaker 1: what solves the biggest concern that people have typically about

485
00:30:50,600 --> 00:30:54,200
Speaker 1: data centers, and that is that they just use so

486
00:30:54,480 --> 00:30:58,360
Speaker 1: much power and that they're sucking off of the power

487
00:30:58,400 --> 00:31:03,840
Speaker 1: grid that residents and existing commercial and industrial clients are using,

488
00:31:03,960 --> 00:31:07,720
Speaker 1: thereby leading to massive strains on the grid as well

489
00:31:07,760 --> 00:31:10,760
Speaker 1: as increase in power rates for everybody.

490
00:31:10,760 --> 00:31:12,000
Speaker 2: Would you believe.

491
00:31:13,320 --> 00:31:18,479
Speaker 1: Data centers use about four percent of all electricity in

492
00:31:18,520 --> 00:31:19,560
Speaker 1: the United States?

493
00:31:20,440 --> 00:31:21,080
Speaker 2: Four percent?

494
00:31:21,160 --> 00:31:26,200
Speaker 1: Now that sounds like a ton, right, That's actually less

495
00:31:26,360 --> 00:31:29,920
Speaker 1: than the amount of electricity that's used by home air

496
00:31:29,960 --> 00:31:40,640
Speaker 1: conditioning units. Efficiency has dramatically improved. In fact, data center

497
00:31:41,080 --> 00:31:46,240
Speaker 1: electrical consumption has just gotten in the last couple of

498
00:31:46,360 --> 00:31:50,640
Speaker 1: years much much better. And the other thing the cooling

499
00:31:50,680 --> 00:31:55,880
Speaker 1: mechanism that we talked about that AI uses hundreds of

500
00:31:56,040 --> 00:32:00,960
Speaker 1: thousands of gallons of water to cool the data centers

501
00:32:00,960 --> 00:32:04,720
Speaker 1: that power it, you know, evaporative cooling, that sort of thing.

502
00:32:05,960 --> 00:32:08,640
Speaker 2: A lot of them don't anymore.

503
00:32:09,320 --> 00:32:14,280
Speaker 1: Most facilities are now adopting what's known as liquid immersion

504
00:32:14,720 --> 00:32:22,280
Speaker 1: cooling or direct to chip liquid cooling. This dramatically slashes

505
00:32:22,400 --> 00:32:28,160
Speaker 1: the need for water consumption. Often times, in dry climates

506
00:32:28,160 --> 00:32:31,240
Speaker 1: where we have data centers, there is no water that's

507
00:32:31,320 --> 00:32:37,400
Speaker 1: actually used. So a lot of the concerns about the

508
00:32:37,480 --> 00:32:42,000
Speaker 1: data centers are overblown. The one that I will say

509
00:32:42,640 --> 00:32:45,560
Speaker 1: is rather obviously one that you're not going to get

510
00:32:45,560 --> 00:32:48,760
Speaker 1: away from. These are massive facilities. These are not particularly

511
00:32:48,800 --> 00:32:52,520
Speaker 1: the best looking facilities. So if you've got a company

512
00:32:52,560 --> 00:32:55,880
Speaker 1: like say Microsoft, that just wants to put one up

513
00:32:56,000 --> 00:32:58,840
Speaker 1: in a random spot in a small town, yes, I

514
00:32:59,200 --> 00:33:01,600
Speaker 1: absolutely can and see where the people in said small

515
00:33:01,640 --> 00:33:06,040
Speaker 1: town are very upset. But that too sort of ignores

516
00:33:06,120 --> 00:33:09,200
Speaker 1: the reality that most of these places, most of these

517
00:33:09,240 --> 00:33:14,200
Speaker 1: centers are actually going up in existing industrial parks that

518
00:33:14,240 --> 00:33:17,479
Speaker 1: they're going up. The most famous one that's going up

519
00:33:17,560 --> 00:33:20,400
Speaker 1: is on the old fox Con facility. It's basically been

520
00:33:20,480 --> 00:33:26,640
Speaker 1: repurposed as a data center hub. Not only that, there

521
00:33:26,720 --> 00:33:33,200
Speaker 1: is a tremendous opportunity for an entire economic ecosystem to

522
00:33:33,320 --> 00:33:36,720
Speaker 1: go in. You do have employees who work at a

523
00:33:36,800 --> 00:33:41,920
Speaker 1: data center. Now, don't you think just from a logistical

524
00:33:42,240 --> 00:33:47,080
Speaker 1: point of view, a company like Amazon would want to

525
00:33:47,120 --> 00:33:52,840
Speaker 1: have its data centers. It's maybe massive warehouse, maybe a

526
00:33:52,880 --> 00:33:55,600
Speaker 1: tremendous amount of office space. They it would want to

527
00:33:55,640 --> 00:33:58,160
Speaker 1: be in one place, right, it would want to be

528
00:33:58,160 --> 00:34:04,560
Speaker 1: in one centrally located place. You actually can generate a

529
00:34:04,720 --> 00:34:10,000
Speaker 1: tremendous amount of revenue for your local tax base, not

530
00:34:10,160 --> 00:34:14,879
Speaker 1: to mention economic activity, not to mention things like hotels,

531
00:34:15,000 --> 00:34:19,440
Speaker 1: like restaurants, like other things that go into your community.

532
00:34:19,480 --> 00:34:23,200
Speaker 1: When more people tend to move, their property values tend

533
00:34:23,200 --> 00:34:26,399
Speaker 1: to rise. As people are moving into the community, they

534
00:34:26,440 --> 00:34:29,200
Speaker 1: need a house. They would gladly buy your house that's

535
00:34:29,280 --> 00:34:31,920
Speaker 1: valued at five hundred thousand dollars for seven hundred and

536
00:34:32,000 --> 00:34:36,160
Speaker 1: fifty thousand dollars. In other words, we can have a

537
00:34:36,320 --> 00:34:40,480
Speaker 1: brand new economy and in Wisconsin be a national leader

538
00:34:40,719 --> 00:34:44,440
Speaker 1: in this brand new economy. But we just have to

539
00:34:44,480 --> 00:34:47,640
Speaker 1: make sure we are being honest about all of the

540
00:34:47,760 --> 00:34:50,240
Speaker 1: data that concerns data centers.

541
00:34:50,400 --> 00:34:51,920
Speaker 2: Let's get to.

542
00:34:51,719 --> 00:34:55,440
Speaker 1: The unhinged liberal of the day coming up when the

543
00:34:55,560 --> 00:34:57,879
Speaker 1: Dan O'Donnell Show returns in just a.

544
00:34:57,800 --> 00:34:58,560
Speaker 2: Couple of minutes.

545
00:35:00,840 --> 00:35:04,560
Speaker 1: Team USA is hockey players made their triumphant returns to

546
00:35:04,840 --> 00:35:09,360
Speaker 1: their NHL teams last night. Jack Hughes got a massive

547
00:35:09,560 --> 00:35:13,520
Speaker 1: ovation back home in New Jersey. He is an alternate

548
00:35:13,560 --> 00:35:17,400
Speaker 1: captain for the New Jersey Devils, and he actually brought

549
00:35:17,480 --> 00:35:19,680
Speaker 1: up one of his Team USA teammates as he was

550
00:35:19,719 --> 00:35:23,480
Speaker 1: given a big ovation by the home crowd, teammate who

551
00:35:23,520 --> 00:35:26,480
Speaker 1: played on the opposing team to come out and bask

552
00:35:26,560 --> 00:35:30,040
Speaker 1: into some of that glory. Obviously, these guys are the

553
00:35:30,040 --> 00:35:35,240
Speaker 1: biggest sports heroes in the world, but not to everybody,

554
00:35:35,520 --> 00:35:42,640
Speaker 1: which brings us to our unhinged liberal of the day

555
00:35:44,400 --> 00:35:45,440
Speaker 1: in pre Nazi.

556
00:35:45,200 --> 00:35:54,560
Speaker 2: Germany is dangerous because he's evil.

557
00:35:55,960 --> 00:35:57,520
Speaker 3: America.

558
00:35:59,520 --> 00:36:04,719
Speaker 1: Today's unhinged liberal of the day is Peter Rosenberg, who

559
00:36:04,760 --> 00:36:09,400
Speaker 1: is an ESPN radio host, and he was live streaming

560
00:36:09,960 --> 00:36:15,120
Speaker 1: his reaction. Who knows why an ESPN radio host is

561
00:36:15,239 --> 00:36:18,120
Speaker 1: live streaming the State of the Union address, Well, actually

562
00:36:18,160 --> 00:36:20,439
Speaker 1: I do know. It's because every single one of these

563
00:36:20,480 --> 00:36:23,319
Speaker 1: people wants to do what it is I do here

564
00:36:23,400 --> 00:36:26,440
Speaker 1: on the Dan o'donnald Show. Comment about politics. Let me

565
00:36:26,480 --> 00:36:28,759
Speaker 1: tell you, as somebody who's been a sports talk radio host.

566
00:36:28,840 --> 00:36:32,480
Speaker 1: At a political radio host, sports talk radio, you get

567
00:36:32,520 --> 00:36:35,280
Speaker 1: a whole lot less hate. Sure, you get your random

568
00:36:35,360 --> 00:36:39,560
Speaker 1: drunken callers after a Brewer's game, but you don't get

569
00:36:39,640 --> 00:36:44,319
Speaker 1: regular death threats from the unhinged lips. Well, Peter Rosenberg

570
00:36:44,520 --> 00:36:48,000
Speaker 1: was live streaming the State of the Union address and

571
00:36:48,120 --> 00:36:52,720
Speaker 1: when Team USA was introduced, he had this to say

572
00:36:52,800 --> 00:36:53,200
Speaker 1: about that.

573
00:36:53,480 --> 00:36:58,440
Speaker 2: You pawns, You sad little pawns. What are you doing?

574
00:36:59,320 --> 00:37:02,840
Speaker 1: He then went on to of course critique President Trump

575
00:37:02,880 --> 00:37:07,000
Speaker 1: and Team USA for daring to associate with him. Really,

576
00:37:07,080 --> 00:37:11,200
Speaker 1: this is all this is about. Do these people actually

577
00:37:11,320 --> 00:37:14,080
Speaker 1: hate Team USA and it's hockey players.

578
00:37:14,200 --> 00:37:14,920
Speaker 2: No, they don't.

579
00:37:14,960 --> 00:37:19,080
Speaker 1: They just hate the fact that President Trump is buddy

580
00:37:19,080 --> 00:37:22,040
Speaker 1: buddy with them, and the vast majority of the Team

581
00:37:22,200 --> 00:37:25,760
Speaker 1: USA players and the vast majority of hockey players more generally,

582
00:37:26,480 --> 00:37:32,560
Speaker 1: are conservative Republicans who support President Trump. Peter Rosenberg is

583
00:37:32,800 --> 00:37:36,319
Speaker 1: your unhinged liberal of the day. Coming up right after

584
00:37:36,360 --> 00:37:38,879
Speaker 1: the top of the hour news the Daily Trump Date,

585
00:37:38,920 --> 00:37:46,239
Speaker 1: and then we dive into Democrats proposing an assisted suicide bill. No, no,

586
00:37:46,320 --> 00:37:50,520
Speaker 1: we'll just delay the start of the show because we're

587
00:37:50,560 --> 00:37:53,719
Speaker 1: having yet more technical difficulties. You're going to have to

588
00:37:53,760 --> 00:37:56,520
Speaker 1: wait while I do my two factor authentication.

589
00:37:58,320 --> 00:38:00,759
Speaker 2: I mean, just keep this going. Here we go. Let's see.

590
00:38:00,800 --> 00:38:10,360
Speaker 1: Here's my pin. Okay, Oh, nope, I've entered my pin incorrectly.

591
00:38:11,040 --> 00:38:11,600
Speaker 2: There we go.

592
00:38:12,280 --> 00:38:16,839
Speaker 1: Now I have to enter my iHeart password. Now I

593
00:38:16,880 --> 00:38:22,200
Speaker 1: have to go to my Microsoft authenticator to enter my number.

594
00:38:22,840 --> 00:38:31,400
Speaker 1: It's seventy three, by the way. Okay, Oh wait, no,

595
00:38:31,560 --> 00:38:35,520
Speaker 1: I wasn't looking directly at my phone, so it's not going.

596
00:38:35,880 --> 00:38:43,960
Speaker 2: Hold on, let's do this again. Okay.

597
00:38:44,160 --> 00:38:47,840
Speaker 1: Now I can actually get to the screen where I

598
00:38:47,880 --> 00:38:51,319
Speaker 1: can play sound bites. But now we're waiting for the

599
00:38:51,400 --> 00:38:57,840
Speaker 1: SoundBite thing to load. Okay, now we've got it going.

600
00:38:58,000 --> 00:39:00,919
Speaker 1: Welcome to the second hour of the Dan O'Donnell's Show.

601
00:39:01,480 --> 00:39:05,080
Speaker 1: I suppose I should be glad we have had Let's see,

602
00:39:05,160 --> 00:39:07,640
Speaker 1: just in the last couple of just yesterday, I mean,

603
00:39:07,640 --> 00:39:10,000
Speaker 1: we weren't even on the air for like five minutes.

604
00:39:10,080 --> 00:39:11,520
Speaker 2: That's sort of a basic thing.

605
00:39:12,440 --> 00:39:14,440
Speaker 1: We always talk about, how we're the number one, Oh

606
00:39:14,480 --> 00:39:17,160
Speaker 1: where the most listened to radio station in Wiscon. That's

607
00:39:17,200 --> 00:39:20,640
Speaker 1: actually kind of a miracle given the amount of times

608
00:39:20,719 --> 00:39:23,560
Speaker 1: we're just not on the air, or we have transmitter

609
00:39:23,640 --> 00:39:28,040
Speaker 1: issues or something is going wrong. And do you know

610
00:39:28,080 --> 00:39:32,440
Speaker 1: who hears about it? It's me because obviously I'm the easiest.

611
00:39:32,480 --> 00:39:35,000
Speaker 1: Do you know who's even more frustrated, ladies and gentlemen

612
00:39:35,040 --> 00:39:38,840
Speaker 1: than you people are about all of the myriad technical

613
00:39:38,920 --> 00:39:42,160
Speaker 1: issues that always seem to come to a head during

614
00:39:42,239 --> 00:39:45,560
Speaker 1: this show. Do you realize I had to beg people

615
00:39:45,719 --> 00:39:51,160
Speaker 1: not to be doing transmitter maintenance at exactly three o'clock PM,

616
00:39:51,680 --> 00:39:53,719
Speaker 1: Like we can't do this at like I don't know,

617
00:39:54,120 --> 00:39:56,279
Speaker 1: two in the morning, when people are at least we

618
00:39:56,680 --> 00:39:59,759
Speaker 1: actually had. Okay, we're going to power down at three

619
00:40:00,880 --> 00:40:05,440
Speaker 1: when the Dan o'donald show starts. Been one of those days, folks,

620
00:40:05,800 --> 00:40:08,719
Speaker 1: All right, jd Vance in Wisconsin. Let's get to the

621
00:40:08,800 --> 00:40:09,520
Speaker 1: daily Trump day.

622
00:40:10,400 --> 00:40:13,240
Speaker 4: We're gonna win so much you may even get tired

623
00:40:13,280 --> 00:40:13,680
Speaker 4: of winning.

624
00:40:13,760 --> 00:40:16,839
Speaker 2: Trump just keeps winning. It is a win for the administration.

625
00:40:17,040 --> 00:40:20,319
Speaker 3: It's also a big win for the United States. We

626
00:40:20,400 --> 00:40:22,840
Speaker 3: have to keep winning. We have to win Bard.

627
00:40:23,160 --> 00:40:24,320
Speaker 2: We're gonna win board.

628
00:40:25,360 --> 00:40:29,360
Speaker 1: The Vice president in a Plover touring a machining facility

629
00:40:29,480 --> 00:40:33,880
Speaker 1: Precision Point, along with third District Congressman Derek Van Orden, who,

630
00:40:33,920 --> 00:40:36,840
Speaker 1: by the way, we'll join the Dan o'donald show at about.

631
00:40:36,640 --> 00:40:37,560
Speaker 2: Five oh six.

632
00:40:37,880 --> 00:40:41,480
Speaker 1: If, by the way, he actually calls, because we have

633
00:40:41,560 --> 00:40:46,400
Speaker 1: no ability as a radio station to dial out, would

634
00:40:46,400 --> 00:40:48,839
Speaker 1: you believe that we have to have all of our

635
00:40:48,880 --> 00:40:52,160
Speaker 1: guests call us? We cannot actually so, like if we

636
00:40:52,160 --> 00:40:55,880
Speaker 1: were to lose, like yesterday, for example, we had Congressman

637
00:40:55,920 --> 00:40:59,960
Speaker 1: Scott Fitzgerald call up and his cell phone dropped. It happens,

638
00:41:00,120 --> 00:41:03,640
Speaker 1: especially in the US Capitol, a notoriously bad cell service

639
00:41:03,640 --> 00:41:06,319
Speaker 1: in there. We had no ability to call him back,

640
00:41:06,400 --> 00:41:09,520
Speaker 1: Like I can't even get my producer to call that.

641
00:41:09,840 --> 00:41:12,040
Speaker 2: Oh well, it was an issue with AT and T.

642
00:41:12,239 --> 00:41:14,279
Speaker 1: I was told like a year and a half ago,

643
00:41:15,040 --> 00:41:17,719
Speaker 1: and it still hasn't been fixed. I mean, my god,

644
00:41:17,880 --> 00:41:21,480
Speaker 1: I long for the days when the only technical issue

645
00:41:21,480 --> 00:41:25,120
Speaker 1: we had in this time slot was Belling's chair didn't work.

646
00:41:26,640 --> 00:41:31,719
Speaker 1: My goodness. Yeah, we said, well, we power down at sunset.

647
00:41:31,760 --> 00:41:34,200
Speaker 1: That's something that we have to do. I get that,

648
00:41:35,000 --> 00:41:41,080
Speaker 1: it's just this other stuff that it's just like, come on, guys, guys,

649
00:41:41,600 --> 00:41:45,640
Speaker 1: we need to actually like broadcast the show. That's sort

650
00:41:45,680 --> 00:41:51,080
Speaker 1: of like bare minimum right before Chris, do you realize

651
00:41:51,120 --> 00:41:54,720
Speaker 1: I had to miss my daughter's last Christmas concert because

652
00:41:54,719 --> 00:41:57,520
Speaker 1: we couldn't go off, Like we literally couldn't do anything

653
00:41:57,560 --> 00:41:59,880
Speaker 1: else right during the middle of what's supposed to be

654
00:42:00,239 --> 00:42:01,320
Speaker 1: flagship show.

655
00:42:02,239 --> 00:42:03,439
Speaker 2: Boy, oh boy, oh boy.

656
00:42:03,640 --> 00:42:10,520
Speaker 1: All right, hopefully, hopefully the machinting facility in Plover didn't

657
00:42:10,560 --> 00:42:13,960
Speaker 1: have the My god, if we had the technical issues

658
00:42:14,000 --> 00:42:18,360
Speaker 1: at the Precision Point facility in Plover that we have

659
00:42:18,440 --> 00:42:21,800
Speaker 1: at Wis and the Vice president, like half the crowd

660
00:42:21,800 --> 00:42:22,840
Speaker 1: would be dead right.

661
00:42:22,719 --> 00:42:27,760
Speaker 2: Now, all right? Vice President jd Vance in Plover?

662
00:42:29,280 --> 00:42:31,160
Speaker 1: I mean, should we call van Orton now and keep

663
00:42:31,200 --> 00:42:33,160
Speaker 1: him on hold just to make sure that he actually

664
00:42:33,200 --> 00:42:36,480
Speaker 1: is there in an hour? Oh, that's right, We can't

665
00:42:36,480 --> 00:42:38,440
Speaker 1: call him. He's got to call in now. We just

666
00:42:38,520 --> 00:42:40,879
Speaker 1: keep him on hold just to make sure everything's good.

667
00:42:41,600 --> 00:42:46,239
Speaker 1: Vice President jd. Vance continuing President Trump's economic message from

668
00:42:46,239 --> 00:42:48,560
Speaker 1: the State of the Union address, taking it on the

669
00:42:48,640 --> 00:42:51,799
Speaker 1: road to a critical swing state, and also continued the

670
00:42:51,800 --> 00:42:55,600
Speaker 1: President's message of Democrats being crazy.

671
00:42:55,719 --> 00:42:59,640
Speaker 3: I am fundamentally an optimist about this country. I believe

672
00:42:59,680 --> 00:43:03,719
Speaker 3: most people, most human beings, most American citizens, whether they

673
00:43:03,719 --> 00:43:05,440
Speaker 3: got a D next to their name or an R

674
00:43:05,560 --> 00:43:08,280
Speaker 3: next to the name, or they have no political affiliation,

675
00:43:08,320 --> 00:43:10,680
Speaker 3: they're good people. They love our country. They want our

676
00:43:10,719 --> 00:43:12,880
Speaker 3: country to thrive and prosper. But I gotta tell you,

677
00:43:13,480 --> 00:43:15,720
Speaker 3: after the State of the Union, I'm not so sure

678
00:43:15,800 --> 00:43:19,359
Speaker 3: that is true of the Congressional Democrats that we saw

679
00:43:19,440 --> 00:43:21,560
Speaker 3: at the State of the Union address. As the President

680
00:43:21,600 --> 00:43:24,520
Speaker 3: of the United States said, very well, you watch their

681
00:43:24,560 --> 00:43:26,879
Speaker 3: reaction to some of what he was saying, and all

682
00:43:26,920 --> 00:43:29,600
Speaker 3: I could think was, these people are kind of crazy.

683
00:43:30,520 --> 00:43:34,120
Speaker 1: The crux of the President Vice President's address, though, just

684
00:43:34,160 --> 00:43:37,880
Speaker 1: as the President's State of the Union address today in Plover,

685
00:43:38,360 --> 00:43:43,080
Speaker 1: was about affordability, and the Vice President did note the

686
00:43:43,120 --> 00:43:48,120
Speaker 1: irony of the exact same people voting for the policies

687
00:43:48,200 --> 00:43:51,480
Speaker 1: of former President Joe Biden that led to the destruction

688
00:43:51,560 --> 00:43:54,640
Speaker 1: of the American economy through hyperinflation are the ones who

689
00:43:54,719 --> 00:43:56,760
Speaker 1: want to now campaign on affordability.

690
00:43:56,840 --> 00:43:59,720
Speaker 3: So it's funny to me when the Democrats talk about

691
00:44:00,640 --> 00:44:02,439
Speaker 3: you heard the President talk about this in the State

692
00:44:02,480 --> 00:44:06,000
Speaker 3: of you need to address. Hearing the Democrats talk about

693
00:44:06,040 --> 00:44:11,319
Speaker 3: affordability is like hearing an arsonist complain about fire. It's

694
00:44:11,400 --> 00:44:15,360
Speaker 3: your fault. You guys left us a country with sky

695
00:44:15,440 --> 00:44:18,480
Speaker 3: high inflation. You all left us a country where we

696
00:44:18,520 --> 00:44:22,319
Speaker 3: were going everywhere but America for energy. You left us

697
00:44:22,360 --> 00:44:25,520
Speaker 3: a United States of America where the average family was

698
00:44:25,560 --> 00:44:29,560
Speaker 3: three thousand dollars poor. So our attitude is, you know what,

699
00:44:29,760 --> 00:44:33,680
Speaker 3: when you talk about affordability, you're exactly right. You caused

700
00:44:33,719 --> 00:44:37,920
Speaker 3: an affordability problem, Congressional Democrats, and we are here to

701
00:44:38,080 --> 00:44:38,960
Speaker 3: fix it now.

702
00:44:39,000 --> 00:44:42,520
Speaker 1: The Vice President actually did provide some stats to back

703
00:44:42,640 --> 00:44:45,759
Speaker 1: up what it was he was saying. Wages are up

704
00:44:45,960 --> 00:44:49,320
Speaker 1: under the Trump administration in its first year after steadily

705
00:44:49,360 --> 00:44:54,799
Speaker 1: declining when adjusted for inflation under Biden, and people, hardworking

706
00:44:54,880 --> 00:44:58,319
Speaker 1: folks like those at the machining facility and Clover are

707
00:44:58,440 --> 00:45:00,000
Speaker 1: doing a lot better right now.

708
00:45:00,080 --> 00:45:02,560
Speaker 3: When Joe Biden and the Democrats left us the government

709
00:45:02,600 --> 00:45:04,680
Speaker 3: of this country, we had the highest inflation that we

710
00:45:04,680 --> 00:45:07,520
Speaker 3: had ever had in forty years. Thanks to Donald Trump

711
00:45:07,560 --> 00:45:11,520
Speaker 3: and aggressional Republicans, we now have inflation at two point

712
00:45:11,680 --> 00:45:14,880
Speaker 3: four percent, the lowest in five years, and it's coming

713
00:45:15,000 --> 00:45:26,120
Speaker 3: even lower ladies and gentlemen. Under Joe Biden and the Democrats,

714
00:45:26,160 --> 00:45:31,160
Speaker 3: the average American lost three thousand dollars in take home pay,

715
00:45:31,600 --> 00:45:34,600
Speaker 3: and under Donald Trump and Republicans, in just one year,

716
00:45:34,880 --> 00:45:39,160
Speaker 3: the average American has seen seventeen hundred dollars increase in

717
00:45:39,239 --> 00:45:42,440
Speaker 3: take home pay. That is more money in your pocket.

718
00:45:42,480 --> 00:45:44,759
Speaker 3: And that's what we're here to do, is make you,

719
00:45:44,800 --> 00:45:46,320
Speaker 3: guys more prosperous.

720
00:45:47,400 --> 00:45:51,239
Speaker 1: The Vice President was in Wisconsin. The President was at

721
00:45:51,320 --> 00:45:55,319
Speaker 1: the White House today meeting with of all people, New

722
00:45:55,400 --> 00:45:59,719
Speaker 1: York City Mayor jorn Mom Donnie. Now, Mom Donnie has

723
00:45:59,760 --> 00:46:05,840
Speaker 1: been be set by massive blizzards that have dumped twenty

724
00:46:05,880 --> 00:46:08,920
Speaker 1: four inches plus of snow on New York City in

725
00:46:09,280 --> 00:46:12,719
Speaker 1: recent days. Now, this was an unannounced visit that was

726
00:46:12,800 --> 00:46:17,480
Speaker 1: not listed on public schedules, and it did not focus

727
00:46:17,600 --> 00:46:19,600
Speaker 1: primarily on blizzard cleanup.

728
00:46:19,719 --> 00:46:20,400
Speaker 2: Wouldn't you know it?

729
00:46:20,480 --> 00:46:23,359
Speaker 1: Democrats have shut down the Department of Homeland Security, which

730
00:46:23,360 --> 00:46:26,759
Speaker 1: would typically assist cities like New York and things like this. No,

731
00:46:26,840 --> 00:46:30,920
Speaker 1: it is focused on housing development in NYC. Mamdanni is

732
00:46:30,920 --> 00:46:34,839
Speaker 1: pitching a major project that he says could secure significant

733
00:46:34,960 --> 00:46:39,920
Speaker 1: federal investment in affordable housing, one of the largest in decades.

734
00:46:40,120 --> 00:46:45,640
Speaker 1: Both Mamdani and the President described the visit as productive

735
00:46:45,640 --> 00:46:50,360
Speaker 1: that ladies and gentlemen is your daily Trump date. Sorry

736
00:46:50,520 --> 00:46:54,520
Speaker 1: for venting my frustrations about our infrastructure. Look, folks, I

737
00:46:54,600 --> 00:46:59,440
Speaker 1: am a conduit for you. Ultimately, my only allegiance is

738
00:46:59,600 --> 00:47:02,480
Speaker 1: to you, and all I have heard over the last

739
00:47:02,480 --> 00:47:05,480
Speaker 1: couple of days, weeks, and months is that we are

740
00:47:05,520 --> 00:47:08,560
Speaker 1: having I don't even pretend to know what sort of

741
00:47:08,640 --> 00:47:13,480
Speaker 1: issues this radio station is having with our infrastructure, with

742
00:47:13,520 --> 00:47:15,960
Speaker 1: our transmitter, if it's on its last legs, if we

743
00:47:16,040 --> 00:47:20,399
Speaker 1: need one, whatever it is, but there is some seriously

744
00:47:22,000 --> 00:47:25,279
Speaker 1: bad stuff going on, and I share your frustration. It

745
00:47:25,480 --> 00:47:28,920
Speaker 1: just it happens. It's one of those things. It is

746
00:47:30,280 --> 00:47:33,920
Speaker 1: what it is, all right, Before we get into you know,

747
00:47:33,920 --> 00:47:36,480
Speaker 1: maybe we need some assistant suicide for the transmitter.

748
00:47:37,000 --> 00:47:38,280
Speaker 3: We need to We need.

749
00:47:38,160 --> 00:47:41,919
Speaker 1: To just let it die a peaceful death, surrounded by

750
00:47:41,920 --> 00:47:45,359
Speaker 1: its loved ones, and get a new one.

751
00:47:46,040 --> 00:47:46,359
Speaker 2: It is.

752
00:47:46,440 --> 00:47:50,399
Speaker 1: It is a very difficult thing to broadcast, and that's

753
00:47:50,400 --> 00:47:52,720
Speaker 1: actually one of the reasons. You know, you talk about

754
00:47:52,960 --> 00:47:58,440
Speaker 1: technological change, and you talk about advancement, technological advancement. We

755
00:47:58,440 --> 00:48:01,240
Speaker 1: were discussing data center and a whole lot of the myths.

756
00:48:01,640 --> 00:48:03,480
Speaker 1: This is another one of my missions here on the

757
00:48:03,560 --> 00:48:06,759
Speaker 1: Dan O'Donnell Show. It is to get people to understand

758
00:48:07,200 --> 00:48:09,799
Speaker 1: the truth about data centers. Look, I'm not going to

759
00:48:09,880 --> 00:48:15,640
Speaker 1: lie and tell you that they're incredibly attractive. Although, how

760
00:48:15,680 --> 00:48:18,799
Speaker 1: about this, if you built a data center in the

761
00:48:18,840 --> 00:48:22,360
Speaker 1: style of like a giant medieval castle, like if you

762
00:48:22,440 --> 00:48:26,520
Speaker 1: built Castle Black next to the giant Wall from Game

763
00:48:26,560 --> 00:48:29,120
Speaker 1: of Thrones, I think you could turn people. You built

764
00:48:29,160 --> 00:48:32,240
Speaker 1: it like King's Landing, or you built it like the

765
00:48:32,480 --> 00:48:35,160
Speaker 1: Elvish fortress from Lord of the Rings. I think you

766
00:48:35,200 --> 00:48:40,200
Speaker 1: could get people on board with this. They're unsightly, and

767
00:48:40,239 --> 00:48:43,880
Speaker 1: I think that ultimately is the big thing, but it

768
00:48:44,040 --> 00:48:48,160
Speaker 1: is sort of a necessary. Look, we cannot have companies

769
00:48:48,760 --> 00:48:51,719
Speaker 1: with their data in China. We just cannot for rather

770
00:48:51,800 --> 00:48:55,640
Speaker 1: obvious reasons. And China is making a massive play for

771
00:48:55,880 --> 00:48:59,200
Speaker 1: data centers for its own companies as well as any

772
00:48:59,200 --> 00:49:02,880
Speaker 1: company on Earth who wants to go to China. China

773
00:49:03,080 --> 00:49:06,320
Speaker 1: is in a demographic peril right now. I don't know

774
00:49:06,360 --> 00:49:09,200
Speaker 1: if you noticed this. Years ago they got rid of

775
00:49:09,280 --> 00:49:13,320
Speaker 1: their one child policy, but the damage was already done.

776
00:49:13,760 --> 00:49:17,799
Speaker 1: China face is a significant problem with an aging population.

777
00:49:17,960 --> 00:49:23,080
Speaker 1: They also have a tremendous debt problem. So China, as

778
00:49:23,120 --> 00:49:25,480
Speaker 1: much as the lefties talk about them being able to

779
00:49:25,560 --> 00:49:28,720
Speaker 1: just destroy us any time they want. That is simply

780
00:49:28,840 --> 00:49:34,520
Speaker 1: not true. The United States has the possibility to own

781
00:49:34,600 --> 00:49:38,640
Speaker 1: the next two centuries by winning the battle over AI

782
00:49:38,880 --> 00:49:42,319
Speaker 1: and advanced robotics. And a big part of that is

783
00:49:42,480 --> 00:49:49,240
Speaker 1: generating the power and generating the computing capacity through data

784
00:49:49,320 --> 00:49:56,960
Speaker 1: storage and production that these advanced technologies require. But to

785
00:49:57,000 --> 00:49:59,000
Speaker 1: take it back to the radio business, you know, people

786
00:49:59,080 --> 00:50:01,680
Speaker 1: ask you, oh, Dan, is radio dying? Is radio dying?

787
00:50:01,880 --> 00:50:02,120
Speaker 5: Yes?

788
00:50:02,400 --> 00:50:03,120
Speaker 2: Actually it is.

789
00:50:04,040 --> 00:50:08,120
Speaker 1: Radio is dying from the moment radio was first invented.

790
00:50:09,320 --> 00:50:13,480
Speaker 1: Same thing with television, Same thing with the printing press,

791
00:50:13,680 --> 00:50:19,480
Speaker 1: Same thing with every single medium on which content is consumed,

792
00:50:20,200 --> 00:50:24,759
Speaker 1: on which other human beings thoughts are disseminated. Now, does

793
00:50:24,800 --> 00:50:26,640
Speaker 1: that mean there's all of a sudden going to be

794
00:50:27,000 --> 00:50:29,960
Speaker 1: less of an appetite for other human thoughts?

795
00:50:30,800 --> 00:50:30,920
Speaker 5: Now?

796
00:50:32,080 --> 00:50:35,640
Speaker 2: Is conservative talk radio always.

797
00:50:35,239 --> 00:50:38,160
Speaker 1: Going to exist? Of course, it is is conservative content always.

798
00:50:38,719 --> 00:50:41,960
Speaker 1: Am I going to say that ten years from now

799
00:50:42,000 --> 00:50:44,840
Speaker 1: I'm going to be broadcasting to you over radio waves?

800
00:50:45,480 --> 00:50:47,680
Speaker 1: Can I tell you in ten minutes will I be

801
00:50:47,840 --> 00:50:51,920
Speaker 1: broadcasting to you for radio waves? In fact, a big

802
00:50:51,960 --> 00:50:56,000
Speaker 1: reason that we actually do the danocam and all this

803
00:50:56,040 --> 00:50:59,040
Speaker 1: other stuff is because you need to be on multiple channels.

804
00:51:00,040 --> 00:51:02,200
Speaker 2: iHeart Media. That there's a reason.

805
00:51:01,920 --> 00:51:05,359
Speaker 1: When I first got here we changed our name from

806
00:51:05,520 --> 00:51:10,520
Speaker 1: Clear Channel Communications to iHeartMedia. Over by far the most

807
00:51:10,520 --> 00:51:14,279
Speaker 1: successful product this company has ever put out, iHeart Radio.

808
00:51:14,320 --> 00:51:16,840
Speaker 1: I mean, it was genius. It was absolutely genius. The

809
00:51:16,880 --> 00:51:20,720
Speaker 1: iHeart Radio app is one of the I would say

810
00:51:23,920 --> 00:51:31,520
Speaker 1: five most essential entertainment apps information apps in the world. Yeah,

811
00:51:31,600 --> 00:51:33,960
Speaker 1: something like one hundred and eighteen million downloads just in

812
00:51:34,000 --> 00:51:41,440
Speaker 1: this country, I believe, Eric, I mean, it is absolutely essential. Right,

813
00:51:42,200 --> 00:51:45,240
Speaker 1: But as we're seeing with a lot of the technology,

814
00:51:45,320 --> 00:51:47,960
Speaker 1: and frankly it's a lot of the high tech technology

815
00:51:48,000 --> 00:51:51,719
Speaker 1: that I use that has just all failed today. But

816
00:51:51,800 --> 00:51:54,840
Speaker 1: what we're seeing with some of the aging technology, like

817
00:51:54,880 --> 00:51:59,080
Speaker 1: we have to power down at sunset on the radio,

818
00:52:00,480 --> 00:52:06,080
Speaker 1: we are on a mode of communication that is literally

819
00:52:06,120 --> 00:52:07,200
Speaker 1: a century old.

820
00:52:09,520 --> 00:52:09,959
Speaker 2: That's true.

821
00:52:10,000 --> 00:52:13,080
Speaker 1: Producer Eric says, daylight saving is coming up in nine days,

822
00:52:13,160 --> 00:52:16,160
Speaker 1: So what does that mean sunsetle actually after I go

823
00:52:16,239 --> 00:52:19,239
Speaker 1: off the air, so you won't have to hear the

824
00:52:19,320 --> 00:52:26,360
Speaker 1: power down. Right, There is none of that on digital.

825
00:52:26,520 --> 00:52:28,840
Speaker 1: If you're listening on the iHeart app, if you're listening

826
00:52:29,000 --> 00:52:33,480
Speaker 1: on our podcast, if you're watching on the Danocam you

827
00:52:33,520 --> 00:52:38,880
Speaker 1: are absolutely guaranteed to get this program, or get any

828
00:52:38,920 --> 00:52:46,280
Speaker 1: of our programs in as high fidelity as we broadcast them.

829
00:52:46,400 --> 00:52:51,000
Speaker 1: That's undeniably a good thing. The issue that I have

830
00:52:51,200 --> 00:52:54,799
Speaker 1: with all of this opposition to data centers is that

831
00:52:55,360 --> 00:52:59,160
Speaker 1: we are thumbing our noses at the advance of technology. Now,

832
00:52:59,640 --> 00:53:03,120
Speaker 1: I'd be an incredible hypocrite if I say yes, I

833
00:53:03,120 --> 00:53:05,960
Speaker 1: would love to stare at a data center. You know,

834
00:53:06,440 --> 00:53:09,680
Speaker 1: my wife and I we bought a house. We fell

835
00:53:09,719 --> 00:53:12,480
Speaker 1: in love with a lot because we sit on a

836
00:53:12,520 --> 00:53:13,759
Speaker 1: beautiful wetland.

837
00:53:13,840 --> 00:53:16,760
Speaker 2: We've got trees in the back.

838
00:53:17,280 --> 00:53:19,959
Speaker 1: The only bad thing about it is our dog will

839
00:53:20,000 --> 00:53:23,360
Speaker 1: just start randomly barking at stuff. And then my wife says,

840
00:53:23,560 --> 00:53:27,760
Speaker 1: she says, it's almost supernatural. The puppy will start barking

841
00:53:27,800 --> 00:53:30,839
Speaker 1: at like five am. He'll just yap, yap, yeap, yeap,

842
00:53:30,880 --> 00:53:33,879
Speaker 1: yeap yeap. Yeah, but he's not a yappy dog. In fact,

843
00:53:33,880 --> 00:53:36,879
Speaker 1: he barely barks, and she'll be like, what is going on?

844
00:53:37,120 --> 00:53:42,040
Speaker 1: She'll see just barely visible a deer in the backyard. Right,

845
00:53:43,040 --> 00:53:47,239
Speaker 1: Would I rather stare at Apple's data center?

846
00:53:47,280 --> 00:53:48,840
Speaker 2: Of course not, of course not.

847
00:53:49,920 --> 00:53:56,880
Speaker 1: Do I recognize, however, though, that Wisconsin absolutely look I

848
00:53:57,280 --> 00:53:59,719
Speaker 1: stare out what do we stare out in the in

849
00:53:59,760 --> 00:54:03,759
Speaker 1: the that we're looking at right giant radio towers? Do

850
00:54:03,800 --> 00:54:07,839
Speaker 1: you really want to look at that? There are deer there.

851
00:54:07,880 --> 00:54:10,480
Speaker 1: I think they they go by the towers because they're warmer.

852
00:54:10,800 --> 00:54:11,560
Speaker 2: I think.

853
00:54:13,000 --> 00:54:16,960
Speaker 1: We also have like the most aggressive turkeys in the

854
00:54:17,080 --> 00:54:20,880
Speaker 1: known world. Those turkeys are not They're not afraid of cars,

855
00:54:20,920 --> 00:54:23,520
Speaker 1: they're not afraid of trucks. They're certainly not afraid of humans.

856
00:54:23,920 --> 00:54:27,400
Speaker 1: They walk around like a Venezuelan streep gang. We have

857
00:54:27,640 --> 00:54:32,239
Speaker 1: like turqu de Arragua in our back parking lot.

858
00:54:32,360 --> 00:54:34,879
Speaker 2: I mean, it's awesome, you know that. But they they'll

859
00:54:34,920 --> 00:54:37,279
Speaker 2: go right up to you. I always fight.

860
00:54:37,520 --> 00:54:40,919
Speaker 1: They always seem to get their boldest in November, as

861
00:54:40,920 --> 00:54:43,560
Speaker 1: though they're gonna shank you for what you did to

862
00:54:43,640 --> 00:54:49,200
Speaker 1: their dead homies. Like, yeah, I dare you, mofo, you

863
00:54:49,360 --> 00:54:54,520
Speaker 1: try to thanksgiving me, I dare you. I get that

864
00:54:54,680 --> 00:55:00,560
Speaker 1: people don't want to sacrifice that The reality is there

865
00:55:00,680 --> 00:55:05,560
Speaker 1: is what was it? Aaron Burr famously said after shooting

866
00:55:05,640 --> 00:55:10,000
Speaker 1: Alexander Hamilton. I had forgotten that the world was wide

867
00:55:10,080 --> 00:55:13,480
Speaker 1: enough for both Hamilton and me. The world is that

868
00:55:13,560 --> 00:55:18,520
Speaker 1: we have so much space in this state. We have

869
00:55:18,719 --> 00:55:25,160
Speaker 1: so much space in this country. We have more room

870
00:55:25,200 --> 00:55:27,640
Speaker 1: than we could possibly know what to do with. And

871
00:55:27,719 --> 00:55:30,920
Speaker 1: I'm not saying every single centimeter should be covered in

872
00:55:31,000 --> 00:55:32,840
Speaker 1: data centers. It's not like you remember the old video

873
00:55:32,840 --> 00:55:36,160
Speaker 1: game SimCity where you just PLoP down a nuclear power

874
00:55:36,160 --> 00:55:38,640
Speaker 1: plant here, and oh, we're gonna put the zoo right

875
00:55:38,680 --> 00:55:41,480
Speaker 1: next to the power plant. No gonna, We're gonna put

876
00:55:41,520 --> 00:55:43,600
Speaker 1: fifteen data centers right next to each other.

877
00:55:43,680 --> 00:55:44,759
Speaker 2: No, you don't want to do that.

878
00:55:44,960 --> 00:55:49,560
Speaker 1: I still don't believe that you abandon all semblance of

879
00:55:49,680 --> 00:55:56,120
Speaker 1: smart urban or suburban planning. But I really, genuinely do

880
00:55:56,239 --> 00:56:02,520
Speaker 1: fear that we are we have the potential to be

881
00:56:02,680 --> 00:56:07,480
Speaker 1: a national leader. What are we a national leader in

882
00:56:07,600 --> 00:56:13,560
Speaker 1: right now? Ginseng and cranberry production and kind of dairy

883
00:56:13,640 --> 00:56:15,680
Speaker 1: we call ourselves the dairy State. We haven't been the

884
00:56:15,760 --> 00:56:19,600
Speaker 1: national leader in dairy in twenty years. And that's no disrespect.

885
00:56:19,920 --> 00:56:23,279
Speaker 1: Agriculture is all. Agriculture is in our veins, It is

886
00:56:23,400 --> 00:56:27,560
Speaker 1: in our soul as a state. But so too is manufacturing, right,

887
00:56:27,719 --> 00:56:30,600
Speaker 1: so too is making things? Well, what if the thing

888
00:56:31,239 --> 00:56:34,560
Speaker 1: that we make now is not like a physical thing,

889
00:56:34,680 --> 00:56:38,840
Speaker 1: but it is a digital series of ones? And zeros

890
00:56:39,080 --> 00:56:45,000
Speaker 1: binary code that creates the thing that everybody wants, everybody needs.

891
00:56:46,280 --> 00:56:50,000
Speaker 1: We have the potential to be the life force of

892
00:56:50,239 --> 00:56:55,279
Speaker 1: artificial intelligence in this country, and a whole lot of

893
00:56:55,320 --> 00:57:03,319
Speaker 1: communities are saying, again rightly for their community, not in

894
00:57:03,360 --> 00:57:06,680
Speaker 1: my backyard. But I feel like we've got an organized

895
00:57:06,719 --> 00:57:09,400
Speaker 1: movement from the left now to say not in my country,

896
00:57:09,440 --> 00:57:11,800
Speaker 1: and that is a massive mistake, not in my state,

897
00:57:12,000 --> 00:57:23,680
Speaker 1: massive mistake. I think we need to embrace new technology

898
00:57:24,200 --> 00:57:26,320
Speaker 1: there and there are people, and I think a lot

899
00:57:26,360 --> 00:57:28,680
Speaker 1: of what this stems from, honest to goodness, if I'm

900
00:57:28,680 --> 00:57:31,760
Speaker 1: being completely honest with you, I think a lot of

901
00:57:31,760 --> 00:57:36,200
Speaker 1: it stems from a fear of artificial intelligence. More generally,

902
00:57:36,960 --> 00:57:41,560
Speaker 1: this notion that it's going to take everyone's job, that

903
00:57:42,440 --> 00:57:45,200
Speaker 1: we're not going to have any need for human beings

904
00:57:45,320 --> 00:57:50,880
Speaker 1: at all, folks, What AI is actually going to do?

905
00:57:51,160 --> 00:57:54,680
Speaker 1: I think the smartest thing ever said about AI was

906
00:57:54,760 --> 00:57:57,600
Speaker 1: uttered by Jensen Wang, who is the CEO of Nvidia,

907
00:57:57,920 --> 00:58:00,840
Speaker 1: the maker of the microchips that powers pretty much every

908
00:58:00,920 --> 00:58:03,040
Speaker 1: AI system in the world. He said, You're not going

909
00:58:03,120 --> 00:58:04,920
Speaker 1: to lose your job to an AI. You're going to

910
00:58:05,000 --> 00:58:07,800
Speaker 1: lose your job to a person using an AI. What

911
00:58:07,880 --> 00:58:10,480
Speaker 1: he means is that if you are able to learn

912
00:58:10,600 --> 00:58:13,720
Speaker 1: how artificial intelligence works, if you're able to use it,

913
00:58:14,840 --> 00:58:17,040
Speaker 1: you can do incredible things that you could never do

914
00:58:17,200 --> 00:58:22,280
Speaker 1: on your own. Do you realize AI powered research has

915
00:58:22,440 --> 00:58:26,360
Speaker 1: absolutely revolutionized the way that they have. You noticed I'm

916
00:58:26,440 --> 00:58:30,400
Speaker 1: using a whole lot more stats and figures in each show.

917
00:58:31,640 --> 00:58:34,280
Speaker 1: That's because it used to take me hours. I mean

918
00:58:34,400 --> 00:58:39,040
Speaker 1: I would have to search twenty five different sites to

919
00:58:39,120 --> 00:58:41,920
Speaker 1: find exactly what I need. Now I tell one of

920
00:58:42,000 --> 00:58:46,160
Speaker 1: I've got now three AI products that I use for research,

921
00:58:46,280 --> 00:58:52,000
Speaker 1: for help in writing, for graphic design. For all, the

922
00:58:53,040 --> 00:58:58,280
Speaker 1: logo that you see when the danocam is actually working,

923
00:58:59,160 --> 00:59:01,840
Speaker 1: that was large. I mean I made it, but I

924
00:59:01,880 --> 00:59:04,960
Speaker 1: refined it through AI. I turned it into that. You

925
00:59:04,960 --> 00:59:07,080
Speaker 1: can see if you ever watched the show on the datacam,

926
00:59:07,120 --> 00:59:10,800
Speaker 1: there's a neon light behind me. That neon light doesn't exist.

927
00:59:10,880 --> 00:59:13,960
Speaker 1: I turned my logo into a neon light through AI.

928
00:59:15,680 --> 00:59:18,320
Speaker 1: I did that instantly. That would have taken a graphic

929
00:59:18,360 --> 00:59:24,240
Speaker 1: designer days hours okay, I'll be honest hours to do manually.

930
00:59:25,240 --> 00:59:30,840
Speaker 1: It's remarkable what this can do. The biggest thing is research.

931
00:59:32,040 --> 00:59:36,360
Speaker 1: It's putting together some of the manual things that you

932
00:59:36,520 --> 00:59:38,880
Speaker 1: do in this type of job, or any type of

933
00:59:38,960 --> 00:59:42,440
Speaker 1: job not manually. The the I don't want to say

934
00:59:42,480 --> 00:59:46,000
Speaker 1: busy work, necessary work, but busy work, I mean I

935
00:59:46,000 --> 00:59:49,280
Speaker 1: would spend I would literally sit down, I can remember doing.

936
00:59:49,720 --> 00:59:53,880
Speaker 1: I can remember doing, oh boy, any number of investigations

937
00:59:53,880 --> 00:59:57,200
Speaker 1: into things. And the type of data that I look

938
00:59:57,280 --> 01:00:00,320
Speaker 1: for is the type of data that is actively hidden

939
01:00:00,960 --> 01:00:03,320
Speaker 1: by democrats in the media and in government because it

940
01:00:03,360 --> 01:00:04,400
Speaker 1: contradicts their narrative.

941
01:00:04,400 --> 01:00:06,560
Speaker 2: You can imagine how difficult my job was.

942
01:00:07,560 --> 01:00:10,120
Speaker 1: Now I've got any number of AI tools that will

943
01:00:10,120 --> 01:00:11,880
Speaker 1: automatically search all.

944
01:00:11,720 --> 01:00:12,560
Speaker 2: Of these sites.

945
01:00:13,120 --> 01:00:15,760
Speaker 1: I can double check the AI's work because it provides

946
01:00:15,800 --> 01:00:18,200
Speaker 1: me with all of the links. All I have to

947
01:00:18,240 --> 01:00:20,720
Speaker 1: do is just clink the link verify that it's not

948
01:00:20,840 --> 01:00:23,920
Speaker 1: spitting out nonsense. And by the way, if you have

949
01:00:24,000 --> 01:00:28,520
Speaker 1: not used an AI in the last three four months,

950
01:00:29,080 --> 01:00:32,840
Speaker 1: they don't spit out nonsense anymore. They do not hallucinate.

951
01:00:33,520 --> 01:00:37,320
Speaker 1: They have gotten insanely good and what they're able to do.

952
01:00:37,400 --> 01:00:38,360
Speaker 2: And this is the thing.

953
01:00:38,680 --> 01:00:41,600
Speaker 1: We were reading an article from an AI developer by

954
01:00:41,600 --> 01:00:44,440
Speaker 1: the name of it I think was Matt Schumer, maybe

955
01:00:45,120 --> 01:00:50,880
Speaker 1: three four weeks ago something like that. He said what

956
01:00:50,960 --> 01:00:53,080
Speaker 1: AI does now, and I've experienced this as well.

957
01:00:53,280 --> 01:00:54,320
Speaker 2: It's not sentient.

958
01:00:54,400 --> 01:00:56,600
Speaker 1: It's not like we've reached the singularity where it's going

959
01:00:56,680 --> 01:00:57,640
Speaker 1: to rise up and kill us.

960
01:00:57,680 --> 01:01:00,920
Speaker 2: All it intuits the.

961
01:01:01,200 --> 01:01:04,280
Speaker 1: More I use, and folks, I should be totally honest

962
01:01:04,320 --> 01:01:07,760
Speaker 1: with I use more advanced paid for versions of the

963
01:01:07,800 --> 01:01:12,360
Speaker 1: AIS like chat GPT. I am paying a pretty decent

964
01:01:12,400 --> 01:01:16,360
Speaker 1: amount of money to use these things, and you get

965
01:01:16,400 --> 01:01:18,120
Speaker 1: a much better version than the free version.

966
01:01:18,160 --> 01:01:18,680
Speaker 2: You just do.

967
01:01:19,640 --> 01:01:23,000
Speaker 1: No real surprise is there. It's probably a year, maybe

968
01:01:23,040 --> 01:01:26,560
Speaker 1: six months more advanced than the free version. But what

969
01:01:26,680 --> 01:01:30,720
Speaker 1: I have learned on every Rock Claude, Chat, GPT, all

970
01:01:30,760 --> 01:01:36,200
Speaker 1: of them art List, they into it. They have gotten better,

971
01:01:36,240 --> 01:01:38,800
Speaker 1: I'm telling you in two months at just sort of

972
01:01:38,880 --> 01:01:41,480
Speaker 1: figuring out what it is I want. Okay, we have

973
01:01:41,600 --> 01:01:44,760
Speaker 1: got to That was a much longer rant than I

974
01:01:45,360 --> 01:01:47,680
Speaker 1: think I was planning on. See this is what you

975
01:01:47,760 --> 01:01:50,160
Speaker 1: get on this show. It starts out with me just

976
01:01:50,280 --> 01:01:54,760
Speaker 1: kind of whining about nothing working technologically, and we finish

977
01:01:55,280 --> 01:02:00,640
Speaker 1: with a look into the future where frankly, things just

978
01:02:00,720 --> 01:02:03,760
Speaker 1: are going to work automatically technologically. We are going to

979
01:02:03,760 --> 01:02:07,240
Speaker 1: get into Democrats introducing a very controversial piece of legislation

980
01:02:07,320 --> 01:02:11,440
Speaker 1: circulating co sponsorship on an assisted suicide bill. That's up

981
01:02:11,480 --> 01:02:17,880
Speaker 1: next on the Dan o'donald Show. Pretty Sir Eric says,

982
01:02:18,120 --> 01:02:20,959
Speaker 1: let's uh, let's cheer everybody up. First, you were talking

983
01:02:21,000 --> 01:02:23,200
Speaker 1: about AI just completely taking over the world.

984
01:02:23,320 --> 01:02:25,480
Speaker 2: Now let's talk about assisted suicide.

985
01:02:26,320 --> 01:02:31,960
Speaker 1: So hopefully, hopefully that last topic did not make you

986
01:02:31,560 --> 01:02:38,240
Speaker 1: want to take your own life. Welcome back to the

987
01:02:38,320 --> 01:02:42,800
Speaker 1: Dan o'donald Show. You know, sometimes the absolute best shows

988
01:02:43,480 --> 01:02:47,240
Speaker 1: that we produce are the ones where everything just kind

989
01:02:47,240 --> 01:02:50,240
Speaker 1: of goes wrong. And frankly, I would like to know

990
01:02:50,520 --> 01:02:51,800
Speaker 1: who screwed up my chair?

991
01:02:52,800 --> 01:02:54,920
Speaker 2: Can we get Paul in here to figure?

992
01:02:55,120 --> 01:02:55,400
Speaker 5: Paul?

993
01:02:56,560 --> 01:02:57,960
Speaker 2: Paul, why is my chair?

994
01:02:58,360 --> 01:03:00,600
Speaker 1: I think I've said this many times. I totally the

995
01:03:00,600 --> 01:03:02,000
Speaker 1: one who broke Belling's chair.

996
01:03:04,160 --> 01:03:05,240
Speaker 2: It wasn't my fault.

997
01:03:05,960 --> 01:03:08,320
Speaker 1: I like lean back slightly and then the chair like

998
01:03:08,480 --> 01:03:11,360
Speaker 1: sort of like came back up and it locked. And

999
01:03:11,400 --> 01:03:13,919
Speaker 1: I said, oh, huh, well, I guess I can't lean

1000
01:03:14,000 --> 01:03:16,840
Speaker 1: back on the chair anymore. Well, if people don't know,

1001
01:03:16,920 --> 01:03:18,640
Speaker 1: and I'm sure he's gonna get mad at me for

1002
01:03:18,720 --> 01:03:23,200
Speaker 1: saying this is Belling loves reclining when he does his show.

1003
01:03:23,440 --> 01:03:26,480
Speaker 1: When he does his show. He's actually like sitting back.

1004
01:03:26,920 --> 01:03:30,360
Speaker 1: It's almost like he's in a chase lounge. Obviously he

1005
01:03:30,400 --> 01:03:31,440
Speaker 1: couldn't do that.

1006
01:03:31,760 --> 01:03:34,040
Speaker 2: When his chair. And I'll never forget.

1007
01:03:34,160 --> 01:03:36,000
Speaker 1: I had been on the air less than a year,

1008
01:03:36,280 --> 01:03:40,160
Speaker 1: I think, doing doing a full time radio show, and

1009
01:03:40,200 --> 01:03:42,440
Speaker 1: I'm listening in the afternoon as I always did, you know,

1010
01:03:42,520 --> 01:03:44,520
Speaker 1: driving the kids home from school or whatever. And I

1011
01:03:44,560 --> 01:03:48,520
Speaker 1: hear what happened on my chair. I'm like, uh oh,

1012
01:03:48,600 --> 01:03:52,080
Speaker 1: I'm a oh boy. I hope he doesn't figure it.

1013
01:03:52,080 --> 01:03:54,720
Speaker 1: So I just kept my mouth shut for like two years.

1014
01:03:55,240 --> 01:03:58,880
Speaker 1: And then and then of course, like I say everything

1015
01:03:58,920 --> 01:04:03,960
Speaker 1: on the air, okay, assisted suicide. Democrats in the Wisconsin

1016
01:04:04,040 --> 01:04:09,720
Speaker 1: legislature are circulating a bill LRB fifty six forty three

1017
01:04:10,000 --> 01:04:13,640
Speaker 1: that would, according to the co sponsorship memo, permit a

1018
01:04:13,680 --> 01:04:16,320
Speaker 1: Wisconsin resident who is at least eighteen years of age,

1019
01:04:16,360 --> 01:04:20,040
Speaker 1: mentally capable, and has a terminal disease with a prognosis

1020
01:04:20,080 --> 01:04:23,920
Speaker 1: of less than six months to live to voluntarily request

1021
01:04:24,040 --> 01:04:27,320
Speaker 1: medication from their attending healthcare provider for the purpose of

1022
01:04:27,480 --> 01:04:31,520
Speaker 1: ending their life in a peaceful, humane, and dignified manner. Now,

1023
01:04:31,800 --> 01:04:36,320
Speaker 1: two very powerful Democrat senators are the co sponsors of

1024
01:04:36,360 --> 01:04:39,840
Speaker 1: this bill, Diane Hesselbeinne, who is the Senate Minority leader,

1025
01:04:39,840 --> 01:04:42,880
Speaker 1: as well as Kelda Royce, who I guess in theory

1026
01:04:43,040 --> 01:04:45,480
Speaker 1: is powerful. I don't know why I said powerful to

1027
01:04:45,520 --> 01:04:49,000
Speaker 1: describe her. She's running for governor, so she's high profile.

1028
01:04:49,040 --> 01:04:52,600
Speaker 1: I guess high profile would be better, as well as

1029
01:04:52,720 --> 01:04:57,240
Speaker 1: a number of representatives, including Randy Udell and Mike Bair. Now,

1030
01:04:57,280 --> 01:05:01,960
Speaker 1: this is not the first time Democrats have assisted have

1031
01:05:02,120 --> 01:05:06,000
Speaker 1: introduced assisted suicide legislation. Do you know who was one

1032
01:05:06,040 --> 01:05:10,560
Speaker 1: of the original authors in twenty nineteen of an assisted

1033
01:05:10,640 --> 01:05:14,880
Speaker 1: suicide bill. I'll give you a hint. She's now running

1034
01:05:14,920 --> 01:05:19,280
Speaker 1: for State Supreme Court. Basically, if there was a far

1035
01:05:19,600 --> 01:05:24,480
Speaker 1: left bill for Chrissy Taylor to introduce and co sponsor,

1036
01:05:25,160 --> 01:05:27,360
Speaker 1: she was the one who was going to be introducing

1037
01:05:27,560 --> 01:05:33,240
Speaker 1: or co sponsoring it. Assisted suicide, as you can imagine,

1038
01:05:33,440 --> 01:05:36,960
Speaker 1: is an incredibly controversial topic.

1039
01:05:39,640 --> 01:05:42,400
Speaker 2: I am incredibly.

1040
01:05:43,880 --> 01:05:47,040
Speaker 1: My heart goes out to those who face terminal diagnoses.

1041
01:05:48,400 --> 01:05:52,880
Speaker 1: I have always been very active with the ALS Association

1042
01:05:53,040 --> 01:05:55,800
Speaker 1: of Wisconsin. It is an organization that is near and

1043
01:05:55,840 --> 01:06:00,200
Speaker 1: dear to my heart. ALS amiotrophic lateral sclerosis or lou

1044
01:06:00,240 --> 01:06:04,600
Speaker 1: Garrig's disease, most notably just took the life of the

1045
01:06:04,680 --> 01:06:10,439
Speaker 1: actor Eric Dane, doctor McSteamy from Grey's Anatomy. He died

1046
01:06:10,440 --> 01:06:13,200
Speaker 1: at fifty three, about a year maybe a little bit

1047
01:06:13,320 --> 01:06:16,320
Speaker 1: less than a year after he was diagnosed with ALS.

1048
01:06:16,120 --> 01:06:21,240
Speaker 1: It's just it's an awful, awful disease. My aunt, my godmother.

1049
01:06:22,280 --> 01:06:26,120
Speaker 1: I've talked about her before. At Margaret, we named our

1050
01:06:26,200 --> 01:06:29,600
Speaker 1: daughter Grace Grace Margaret after at Margaret.

1051
01:06:30,520 --> 01:06:31,440
Speaker 2: She passed away.

1052
01:06:31,520 --> 01:06:37,200
Speaker 1: It will be this April twenty two years I believe

1053
01:06:37,200 --> 01:06:43,240
Speaker 1: two thousand and four she died, and I honestly I

1054
01:06:43,320 --> 01:06:49,160
Speaker 1: have never felt a pain like going into her room

1055
01:06:49,240 --> 01:06:53,280
Speaker 1: to say goodbye and to know that her body was.

1056
01:06:55,080 --> 01:06:59,120
Speaker 2: Gone. She was paralyzed, she couldn't move, but her mind

1057
01:06:59,200 --> 01:07:00,240
Speaker 2: was still there. And that's that.

1058
01:07:00,240 --> 01:07:03,800
Speaker 1: That's the awful thing about ALS, is that your brain

1059
01:07:03,880 --> 01:07:07,560
Speaker 1: you know exactly what is happening to you. You just

1060
01:07:08,040 --> 01:07:10,680
Speaker 1: little by little your body goes. First, you start tripping

1061
01:07:10,720 --> 01:07:13,720
Speaker 1: and falling, Then you're confined to a wheelchair, then you

1062
01:07:13,760 --> 01:07:17,640
Speaker 1: can Eventually what kills you is you basically can no

1063
01:07:17,720 --> 01:07:21,120
Speaker 1: longer swallow, and you can no longer breathe, and.

1064
01:07:21,160 --> 01:07:25,560
Speaker 2: You just die. I mean, it's a nightmare. I am

1065
01:07:25,640 --> 01:07:29,280
Speaker 2: sympathetic to those who wish to end their own lives,

1066
01:07:29,600 --> 01:07:30,880
Speaker 2: I really am.

1067
01:07:32,760 --> 01:07:39,440
Speaker 1: We, however, have an absolute epidemic of suicide in people

1068
01:07:39,480 --> 01:07:43,840
Speaker 1: who are not facing advanced cancer or als or other

1069
01:07:44,000 --> 01:07:48,440
Speaker 1: diagnoses where they have a short time to live. And

1070
01:07:48,480 --> 01:07:53,360
Speaker 1: when you normalize any form of or say it is

1071
01:07:53,600 --> 01:07:58,440
Speaker 1: acceptable in these circumstances to take your own life. You are,

1072
01:07:58,480 --> 01:08:02,760
Speaker 1: whether you realize it or not, on telling other people, Okay,

1073
01:08:03,160 --> 01:08:06,680
Speaker 1: it is acceptable to take your own life in a

1074
01:08:06,680 --> 01:08:09,480
Speaker 1: circumstance where you're not terminally ill, but rather you're just

1075
01:08:09,520 --> 01:08:12,640
Speaker 1: so depressed you can't go on and what it is.

1076
01:08:12,680 --> 01:08:14,479
Speaker 2: And this is why, folks, I.

1077
01:08:14,400 --> 01:08:20,400
Speaker 1: Am so so vehemently against the trans agenda that we

1078
01:08:20,479 --> 01:08:23,439
Speaker 1: have had. It has nothing to do with hating trans people.

1079
01:08:23,479 --> 01:08:27,799
Speaker 1: My god, I love trans people. I want trans people

1080
01:08:27,840 --> 01:08:31,479
Speaker 1: to be healthy. Okay, this isn't like. This isn't like.

1081
01:08:31,479 --> 01:08:32,240
Speaker 2: Someone is gay.

1082
01:08:32,760 --> 01:08:37,439
Speaker 1: Right where it's very clear that this is something there

1083
01:08:37,479 --> 01:08:42,919
Speaker 1: is probably some sort of arrested issue with sexual attraction

1084
01:08:43,160 --> 01:08:47,080
Speaker 1: very very young. We still don't know whether it's innate,

1085
01:08:47,200 --> 01:08:50,160
Speaker 1: whether you really are, as Lady Gaga said, born this way,

1086
01:08:50,400 --> 01:08:54,600
Speaker 1: but clearly you can live a very healthy, very mentally

1087
01:08:55,160 --> 01:08:58,519
Speaker 1: balanced life. You are just attracted to members of the

1088
01:08:58,520 --> 01:09:02,160
Speaker 1: same sex. It's like, how dudes, you're you're either a

1089
01:09:02,240 --> 01:09:07,040
Speaker 1: breast guy or you're a butt guy. Right, what about

1090
01:09:07,120 --> 01:09:09,759
Speaker 1: leg You're a leg guy? You're a leg guy. Okay,

1091
01:09:10,640 --> 01:09:13,200
Speaker 1: I'm not gonna tell you which. I think that's undignified

1092
01:09:13,880 --> 01:09:16,320
Speaker 1: for a for a very popular radio host.

1093
01:09:17,000 --> 01:09:20,200
Speaker 2: No, I'm into ear lobes. Can you imagine?

1094
01:09:20,560 --> 01:09:24,519
Speaker 1: I really like we were actually joking this weekend. My

1095
01:09:24,600 --> 01:09:27,800
Speaker 1: wife apparently discovered that there are people who are really

1096
01:09:27,800 --> 01:09:33,599
Speaker 1: into thumbs, Like people have OnlyFans account did Eric's given

1097
01:09:33,600 --> 01:09:37,599
Speaker 1: a thumbs down? We called it only thumbs that people

1098
01:09:37,640 --> 01:09:40,639
Speaker 1: like women have OnlyFans accounts where it's like just their

1099
01:09:40,680 --> 01:09:44,040
Speaker 1: thumbs and they're like pressing buttons and and I'm like, okay,

1100
01:09:44,080 --> 01:09:47,800
Speaker 1: that's a little weird. That's a little like feet is

1101
01:09:47,800 --> 01:09:51,439
Speaker 1: a very common one, like the feet foot fetish is

1102
01:09:51,600 --> 01:09:52,519
Speaker 1: very very calm.

1103
01:09:52,720 --> 01:09:54,240
Speaker 2: Thumbs. I'll admit I did.

1104
01:09:54,040 --> 01:09:56,200
Speaker 1: Not hear about that until I don't want to know

1105
01:09:56,240 --> 01:09:58,600
Speaker 1: what my wife is browsing at.

1106
01:09:58,720 --> 01:09:59,479
Speaker 5: What she got.

1107
01:10:00,000 --> 01:10:02,439
Speaker 1: It's like my weird sex thing or something, you know,

1108
01:10:02,640 --> 01:10:04,320
Speaker 1: some reality show clip.

1109
01:10:05,680 --> 01:10:07,320
Speaker 2: That was shown up on our feed.

1110
01:10:09,479 --> 01:10:14,920
Speaker 1: Trans Ideology is not that trans ideology is rather obviously

1111
01:10:15,120 --> 01:10:21,160
Speaker 1: closely linked to A autism okay, and B schizophrenia. And

1112
01:10:21,240 --> 01:10:23,960
Speaker 1: what is going on is people are not getting the

1113
01:10:24,000 --> 01:10:27,840
Speaker 1: treatment that they need and they start to see as

1114
01:10:28,360 --> 01:10:31,679
Speaker 1: the only way out suicide. They start to see, Okay,

1115
01:10:31,760 --> 01:10:34,600
Speaker 1: I am like a terminally ill patient. I am like

1116
01:10:34,680 --> 01:10:39,080
Speaker 1: somebody who can't possibly get out of this and the

1117
01:10:39,080 --> 01:10:41,240
Speaker 1: only thing I can do is kill myself. Do you

1118
01:10:41,240 --> 01:10:45,040
Speaker 1: want to know why the gun violence rate has exploded

1119
01:10:45,080 --> 01:10:47,760
Speaker 1: in recent years? Has nothing to do with the homicide rate. Sure,

1120
01:10:47,840 --> 01:10:51,000
Speaker 1: that has gone up right up until President Trump cleaned

1121
01:10:51,040 --> 01:10:54,680
Speaker 1: this nation streets up, and the homicide rate declined by

1122
01:10:54,680 --> 01:10:57,799
Speaker 1: the single biggest year over year amount since nineteen hundred.

1123
01:10:57,800 --> 01:10:59,800
Speaker 1: In one hundred and twenty five years, you highlighted that

1124
01:11:00,080 --> 01:11:01,200
Speaker 1: State of the Union address.

1125
01:11:02,640 --> 01:11:03,960
Speaker 2: It's because of the suicide rate.

1126
01:11:04,920 --> 01:11:11,759
Speaker 1: Gun violence deaths are almost entirely driven by suicide. That's

1127
01:11:11,880 --> 01:11:15,680
Speaker 1: insanely tragic. It's not just suicide. It is pills, it

1128
01:11:15,720 --> 01:11:20,599
Speaker 1: is carbon monoxide poisoning, it is hanging. It is Hillary

1129
01:11:20,600 --> 01:11:24,680
Speaker 1: Clinton sneaking into your jail cell and quietly smothering you

1130
01:11:24,760 --> 01:11:27,599
Speaker 1: with a pillow. And then the New York prison guard

1131
01:11:27,680 --> 01:11:30,240
Speaker 1: saying that you killed yourself. Okay, that last one was

1132
01:11:30,280 --> 01:11:33,759
Speaker 1: a total joke, or was it? Bill and Hillary Clinton,

1133
01:11:33,800 --> 01:11:39,160
Speaker 1: by the way, testifying before the House Oversight Committee earlier today.

1134
01:11:39,240 --> 01:11:41,479
Speaker 1: We will try to get into that. Yes, producer Eric

1135
01:11:41,560 --> 01:11:43,439
Speaker 1: is latter me. I do need to take a break.

1136
01:11:43,479 --> 01:11:45,920
Speaker 1: We're gonna get right back into this in a second.

1137
01:11:47,400 --> 01:11:53,360
Speaker 1: Why assisted suicide legislation always leads to more suicides? I've

1138
01:11:53,400 --> 01:11:57,839
Speaker 1: got the data coming up next, Intelligent discourse. You're Reverend

1139
01:11:58,040 --> 01:12:00,920
Speaker 1: fun here on the Dan o'donald Show. The topic we

1140
01:12:00,960 --> 01:12:07,280
Speaker 1: are discussing now is not at all fun. Assisted suicide

1141
01:12:07,640 --> 01:12:12,639
Speaker 1: is rather obviously a controversial issue. You know what, Before

1142
01:12:12,680 --> 01:12:15,600
Speaker 1: we get back into that, are we able to go

1143
01:12:15,840 --> 01:12:19,920
Speaker 1: to our partners at Fox News, Hillary Clinton is now speaking, No,

1144
01:12:20,040 --> 01:12:22,599
Speaker 1: of course we can't. Why why would we be able

1145
01:12:22,640 --> 01:12:26,360
Speaker 1: to go live? Hillary Clinton is talking about testifying before

1146
01:12:26,400 --> 01:12:30,040
Speaker 1: the House Overside Committee about the Epstein files, and we

1147
01:12:30,120 --> 01:12:34,200
Speaker 1: can't go to it. Yeah, yeah, that's true. All she's

1148
01:12:34,240 --> 01:12:39,240
Speaker 1: saying is, I can't recall.

1149
01:12:36,920 --> 01:12:39,639
Speaker 2: We seriously have no ability to go to Hillary. Why

1150
01:12:39,680 --> 01:12:40,720
Speaker 2: would we be able to.

1151
01:12:45,120 --> 01:12:49,280
Speaker 1: Again, they can't do this stuff during the three hours

1152
01:12:49,320 --> 01:12:54,640
Speaker 1: where we don't have seriously, we don't have local programming

1153
01:12:55,040 --> 01:13:00,200
Speaker 1: for three hours four hours if you count Vicky. Vicky's

1154
01:13:00,240 --> 01:13:05,639
Speaker 1: piped in from Madison, so we have no need of

1155
01:13:05,680 --> 01:13:09,599
Speaker 1: that cable box which we use to feed through our board.

1156
01:13:10,160 --> 01:13:13,120
Speaker 1: But it's it's now at exactly four point fifty two

1157
01:13:13,280 --> 01:13:17,680
Speaker 1: PM when the host, more than any other host, is

1158
01:13:17,880 --> 01:13:21,439
Speaker 1: likely to go to live programming for newsworthy events that

1159
01:13:21,520 --> 01:13:25,280
Speaker 1: are going on right now. We just decided we're going

1160
01:13:25,360 --> 01:13:31,960
Speaker 1: to swap out. I maybe it's maybe it's appropriate that

1161
01:13:31,960 --> 01:13:36,000
Speaker 1: we're talking about assisted suicide. Can Can I co sponsor

1162
01:13:36,120 --> 01:13:40,519
Speaker 1: this bill? For God's sake, get me some pills. I'm kidding.

1163
01:13:40,600 --> 01:13:44,559
Speaker 1: I know you should never even joke about that. And folks,

1164
01:13:44,960 --> 01:13:48,160
Speaker 1: you will find no greater advocate for mental health in

1165
01:13:48,240 --> 01:13:52,400
Speaker 1: broadcasting in this state than me. This is why I

1166
01:13:52,479 --> 01:13:55,840
Speaker 1: say you need to be very careful. Canada very famously

1167
01:13:55,880 --> 01:14:03,280
Speaker 1: allowed for medically assisted suicide is called medical assistance in dyeting.

1168
01:14:03,439 --> 01:14:06,839
Speaker 1: That is what it is officially called MAID in Canada.

1169
01:14:07,800 --> 01:14:13,200
Speaker 1: According to data just released last month, for twenty twenty four,

1170
01:14:13,960 --> 01:14:21,719
Speaker 1: there were sixteen thousand, four hundred and ninety nine MAAID deaths.

1171
01:14:23,160 --> 01:14:27,679
Speaker 1: That accounts for five point one percent of all deaths

1172
01:14:27,800 --> 01:14:31,759
Speaker 1: in Canada. Assisted suicide now were all of those people

1173
01:14:33,040 --> 01:14:34,320
Speaker 1: given six months to live?

1174
01:14:34,400 --> 01:14:34,479
Speaker 5: No.

1175
01:14:34,800 --> 01:14:38,360
Speaker 1: In fact, every single study that has been done on

1176
01:14:38,560 --> 01:14:42,960
Speaker 1: assisted suicide in either Canada or Oregon or other jurisdictions

1177
01:14:43,000 --> 01:14:46,800
Speaker 1: where assisted suicide is lawful, they have all found the

1178
01:14:46,840 --> 01:14:51,679
Speaker 1: same thing that there isn't a strenuous review of whether

1179
01:14:51,840 --> 01:14:56,599
Speaker 1: someone actually qualifies for the legal standard of assisted death,

1180
01:14:57,360 --> 01:14:59,519
Speaker 1: and a lot of times it's just people who are depressed.

1181
01:15:00,760 --> 01:15:03,320
Speaker 2: That is a very very dangerous thing.

1182
01:15:05,600 --> 01:15:08,160
Speaker 1: How can I tell you that that this is not

1183
01:15:09,040 --> 01:15:11,920
Speaker 1: people who fall under the strictest definition of needing to

1184
01:15:11,960 --> 01:15:20,240
Speaker 1: die suicide maidea assisted suicide would be the fourth leading

1185
01:15:20,400 --> 01:15:24,600
Speaker 1: cause of death in Canada. If assisted suicide or suicide

1186
01:15:24,680 --> 01:15:25,840
Speaker 1: was considered a cause of death.

1187
01:15:25,880 --> 01:15:26,120
Speaker 2: It's not.

1188
01:15:26,200 --> 01:15:28,799
Speaker 1: It's considered a manner of death, not an underlying cause.

1189
01:15:29,760 --> 01:15:32,920
Speaker 1: Twenty six point two percent of all deaths in Canada

1190
01:15:33,000 --> 01:15:37,839
Speaker 1: are cancer seventeen point seven disease of the heart, accident

1191
01:15:37,920 --> 01:15:43,480
Speaker 1: six point two percent, assisted suicide five point one percent.

1192
01:15:44,000 --> 01:15:48,120
Speaker 1: Think about that. During this commercial break, final hour of

1193
01:15:48,120 --> 01:15:51,120
Speaker 1: the Dan O'Donnell Show, Welcome back to It. You want

1194
01:15:51,160 --> 01:15:53,840
Speaker 1: to join us four one, four seven, nine, nine eleven

1195
01:15:54,080 --> 01:15:58,120
Speaker 1: thirty or email me DoD at iHeartMedia dot com, follow

1196
01:15:58,160 --> 01:16:02,479
Speaker 1: the show on x at Dano'donaldshowfacebook dot com, slash Dan

1197
01:16:02,479 --> 01:16:05,680
Speaker 1: o'donald's Show are also on Instagram and normally you can

1198
01:16:05,720 --> 01:16:08,880
Speaker 1: watch the show streaming live on YouTube. Technical difficulties. It

1199
01:16:09,000 --> 01:16:13,080
Speaker 1: is audio only today. That means you are going to

1200
01:16:13,120 --> 01:16:16,480
Speaker 1: want to make sure to subscribe to the Dan o'donald's

1201
01:16:16,520 --> 01:16:21,480
Speaker 1: Show podcast on iHeartRadio or wherever you listen to podcasts

1202
01:16:21,520 --> 01:16:25,920
Speaker 1: so you don't miss a single thing. Incredible in depth discussions,

1203
01:16:26,280 --> 01:16:29,880
Speaker 1: if I do say so myself on data centers on

1204
01:16:30,120 --> 01:16:35,080
Speaker 1: the future of technology, including spoken word radio, slash podcasting,

1205
01:16:35,240 --> 01:16:39,800
Speaker 1: slash streaming, as well as assisted suicide. Top stories we're

1206
01:16:39,840 --> 01:16:45,679
Speaker 1: following right now. Vice President jd Vance in Clover today

1207
01:16:45,800 --> 01:16:51,200
Speaker 1: touring a machining facility along with Wisconsin Congressman Derek Van Orden.

1208
01:16:51,680 --> 01:16:56,120
Speaker 1: He the Vice President had a plea for Wisconsin's voters

1209
01:16:56,160 --> 01:16:56,599
Speaker 1: this fall.

1210
01:16:56,720 --> 01:16:59,840
Speaker 3: I would really appreciate you not sending us a bunch

1211
01:16:59,840 --> 01:17:02,519
Speaker 3: of crazy Democrats in November, so please don't do that.

1212
01:17:02,600 --> 01:17:03,760
Speaker 3: God bless you all. A thank you.

1213
01:17:04,960 --> 01:17:08,000
Speaker 2: Rebecca Cook. Oh excuse me, excuse me, I was coughing there.

1214
01:17:08,240 --> 01:17:11,000
Speaker 1: Congressman Ventward and is standing by we will talk with

1215
01:17:11,120 --> 01:17:15,080
Speaker 1: him in just a second. Hillary Clinton says she can't

1216
01:17:15,200 --> 01:17:20,840
Speaker 1: recall ever meeting Jeffrey Epstein. She and her husband testifying

1217
01:17:21,000 --> 01:17:25,320
Speaker 1: by video conference before the House Oversight Committee from her

1218
01:17:25,360 --> 01:17:28,439
Speaker 1: house in Chappaqua, New York. She addressed the media a

1219
01:17:28,520 --> 01:17:32,200
Speaker 1: short time ago and reiterated that she cannot recall ever

1220
01:17:32,320 --> 01:17:35,360
Speaker 1: meeting Epstein, except of course, for that one time when

1221
01:17:35,400 --> 01:17:38,320
Speaker 1: she's snuck inside his jail cell. And oh wait, she's

1222
01:17:38,360 --> 01:17:41,599
Speaker 1: saying too much. I made that up. I've made that

1223
01:17:42,080 --> 01:17:44,760
Speaker 1: up Coming up later this hour, the very latest on

1224
01:17:45,080 --> 01:17:49,160
Speaker 1: the criminal charges filed against Democrat State assembly Woman Sylvia

1225
01:17:49,400 --> 01:17:54,400
Speaker 1: or Tease Belez. Are they even lawful and constitutional? In

1226
01:17:54,479 --> 01:17:57,799
Speaker 1: what appears to be a clear case of political payback

1227
01:17:58,160 --> 01:18:03,280
Speaker 1: from the Democratic Minority Assembly leader Greta Neubauer. Those are

1228
01:18:03,280 --> 01:18:05,759
Speaker 1: the top stories we are following. We are now very

1229
01:18:05,840 --> 01:18:10,360
Speaker 1: honored to bring in Derek Van Ordon, Wisconsin Congressmany got

1230
01:18:10,360 --> 01:18:13,559
Speaker 1: to fly back to Wisconsin from the State of the Union,

1231
01:18:13,600 --> 01:18:16,800
Speaker 1: address a board Air Force two. That is very cool.

1232
01:18:16,880 --> 01:18:21,280
Speaker 1: Got to speak and tour the Precision Point machining facility

1233
01:18:21,680 --> 01:18:24,479
Speaker 1: in his home district along with the Vice President today.

1234
01:18:24,520 --> 01:18:27,200
Speaker 1: That is even cooler. We'll win a couple of days

1235
01:18:27,240 --> 01:18:29,080
Speaker 1: for you, my friend. How's it been going.

1236
01:18:30,240 --> 01:18:32,960
Speaker 5: It's been doing great. I mean, the State of the

1237
01:18:33,080 --> 01:18:37,479
Speaker 5: Union speech was just fantastic. President Trump was banging out

1238
01:18:37,479 --> 01:18:40,920
Speaker 5: all cylinders. He highlighted all the things that we've been

1239
01:18:40,960 --> 01:18:44,480
Speaker 5: doing in Congress with him and with the Trump administration.

1240
01:18:44,680 --> 01:18:50,160
Speaker 5: He highlighted some real, no kidding, American heroes. Really brought

1241
01:18:50,479 --> 01:18:53,840
Speaker 5: a lot of people to their feet and brought about

1242
01:18:53,840 --> 01:18:56,559
Speaker 5: half the chamber to their seats. It refused to stand

1243
01:18:56,640 --> 01:18:59,000
Speaker 5: up to acknowledge the fact that we've got some awesome

1244
01:18:59,040 --> 01:19:02,080
Speaker 5: American students, great things. And one of the things that

1245
01:19:02,200 --> 01:19:06,599
Speaker 5: was very, very shameful amongst things that my Democratic colleague did,

1246
01:19:06,640 --> 01:19:08,240
Speaker 5: is there's a five year old girl who was hit

1247
01:19:08,439 --> 01:19:11,320
Speaker 5: by an rego alien. Yeah, and you know she was

1248
01:19:11,360 --> 01:19:12,720
Speaker 5: in a coma for a long period of time. They

1249
01:19:12,720 --> 01:19:14,439
Speaker 5: wouldn't even stand up to announce the fact that this

1250
01:19:14,520 --> 01:19:16,640
Speaker 5: young lady who was fighting for a life, and that

1251
01:19:16,720 --> 01:19:21,599
Speaker 5: was just that was just gross. And there were other

1252
01:19:21,680 --> 01:19:24,120
Speaker 5: moments like that. But the State of Union is fantastic.

1253
01:19:24,320 --> 01:19:26,280
Speaker 5: You know. We flew back on Air Force too today.

1254
01:19:26,360 --> 01:19:29,760
Speaker 5: That's the first for me. And the snacks were good,

1255
01:19:29,800 --> 01:19:32,880
Speaker 5: by the way, and then we got to speak with JD.

1256
01:19:33,040 --> 01:19:36,599
Speaker 5: Vance at Point Precision, which is as a family business

1257
01:19:36,640 --> 01:19:42,160
Speaker 5: that does very very high end, extreme precise manufacturing for

1258
01:19:42,320 --> 01:19:45,800
Speaker 5: aerospace industry applications and also defense applications. And it's just

1259
01:19:45,800 --> 01:19:47,479
Speaker 5: a hell of a good company, and it was wonderful

1260
01:19:47,479 --> 01:19:49,240
Speaker 5: to be there with proud Americans.

1261
01:19:49,640 --> 01:19:54,599
Speaker 1: It certainly seems like it was an electric atmosphere during

1262
01:19:54,640 --> 01:19:58,519
Speaker 1: the State of the Union. What was it like? It

1263
01:19:58,520 --> 01:20:01,200
Speaker 1: seems like you had a pretty good you of Democrats.

1264
01:20:01,240 --> 01:20:05,280
Speaker 1: You were right by the main aisle that President Trump

1265
01:20:05,360 --> 01:20:08,400
Speaker 1: walked down. It seemed like you had a pretty good view.

1266
01:20:08,439 --> 01:20:11,439
Speaker 1: What was What was the atmosphere like when say, the

1267
01:20:11,479 --> 01:20:14,840
Speaker 1: Team USA hockey was introduced and you didn't even have

1268
01:20:14,880 --> 01:20:16,400
Speaker 1: Democrats standing for that.

1269
01:20:17,960 --> 01:20:19,559
Speaker 5: Dude, let me tell you how I got there. Dan

1270
01:20:20,320 --> 01:20:23,640
Speaker 5: Al Green, who like makes it a point to to

1271
01:20:23,840 --> 01:20:27,000
Speaker 5: like protest during these things, and he shows no decorum

1272
01:20:27,040 --> 01:20:30,320
Speaker 5: and it's just really it's absurd. He got thrown out

1273
01:20:30,320 --> 01:20:32,600
Speaker 5: of that yeah, and I was I was back in

1274
01:20:32,680 --> 01:20:35,120
Speaker 5: the nosebleeds and I'm like, hey, that dude just got

1275
01:20:35,120 --> 01:20:37,040
Speaker 5: thrown out of that seat. I got up and moved

1276
01:20:37,040 --> 01:20:39,800
Speaker 5: and took kid. See I sat raping Chuck Schumer in

1277
01:20:39,880 --> 01:20:42,599
Speaker 5: a Democrat senator seat. I was like, this is so great.

1278
01:20:43,080 --> 01:20:44,160
Speaker 2: Oh, I didn't know that.

1279
01:20:46,000 --> 01:20:48,040
Speaker 5: It had like Mark Kelly see seats away from me,

1280
01:20:48,080 --> 01:20:50,320
Speaker 5: and Chuck goes right in front of me eighty close shars.

1281
01:20:50,439 --> 01:20:52,240
Speaker 5: I mean it was really funny. I'm like, this is perfect.

1282
01:20:52,240 --> 01:20:53,960
Speaker 5: Thanks to alf and getting thrown up, I'm gonna send

1283
01:20:54,000 --> 01:20:56,640
Speaker 5: up probably a Christmas curd this year. But you know,

1284
01:20:56,920 --> 01:21:00,880
Speaker 5: sitting there in that chamber, it's a lot smaller than looks.

1285
01:21:00,960 --> 01:21:03,679
Speaker 5: It looks like a huge thing, but it's really really intimate.

1286
01:21:03,720 --> 01:21:06,160
Speaker 5: I mean even without microphones, so you can hear people speaking,

1287
01:21:06,760 --> 01:21:09,760
Speaker 5: and it's just fun to sit there. And do you

1288
01:21:09,800 --> 01:21:12,120
Speaker 5: think about that chief or Lobster flying the helicopter pile

1289
01:21:12,600 --> 01:21:15,840
Speaker 5: to get Maduro, that drug kingpin out of Kara, because

1290
01:21:15,880 --> 01:21:18,200
Speaker 5: that guy got shot multiple times in its leg. If

1291
01:21:18,200 --> 01:21:21,719
Speaker 5: he hadn't held that bird there stable and he turned

1292
01:21:21,720 --> 01:21:23,760
Speaker 5: the bird around so the gunner could shoot the guys

1293
01:21:23,760 --> 01:21:26,040
Speaker 5: that were shooting him, and then he landed the bird

1294
01:21:26,080 --> 01:21:28,639
Speaker 5: and turned it over. If you didn't have the werewolthal

1295
01:21:28,720 --> 01:21:31,000
Speaker 5: to do that, that helicopter would have crashed and those

1296
01:21:31,120 --> 01:21:34,840
Speaker 5: assaulters would have been killed. Presented the Congressional Medal of Honor.

1297
01:21:35,200 --> 01:21:37,640
Speaker 5: The one hundred year old naval aviator that should have

1298
01:21:37,640 --> 01:21:39,720
Speaker 5: gotten the Metal of Water back in the Vietnam War,

1299
01:21:39,800 --> 01:21:43,599
Speaker 5: but he didn't because the mission was classified. He received

1300
01:21:43,640 --> 01:21:47,000
Speaker 5: the Medal of Honor. The young postguardsman who rescued one

1301
01:21:47,120 --> 01:21:49,960
Speaker 5: hundred and sixty five people, including the young girl standing

1302
01:21:50,000 --> 01:21:53,840
Speaker 5: next to him, received the Legion of Merit. And those

1303
01:21:53,840 --> 01:21:57,639
Speaker 5: are just awe inspiring American moments. But let's put this

1304
01:21:57,680 --> 01:22:00,120
Speaker 5: into perspective. Dan, did you see it when they get

1305
01:22:00,120 --> 01:22:03,280
Speaker 5: at least of America that young coast guards Yeah, yeah, okay,

1306
01:22:03,560 --> 01:22:07,040
Speaker 5: guess what he's not getting paid. Yeah, he's working the

1307
01:22:07,080 --> 01:22:11,120
Speaker 5: thought of paycheck because the Democrats have defunded DHS and

1308
01:22:11,240 --> 01:22:14,639
Speaker 5: Coast Guard falls underna down. That young e five who

1309
01:22:14,680 --> 01:22:17,679
Speaker 5: makes not a lot of money, is not getting paid

1310
01:22:17,760 --> 01:22:20,600
Speaker 5: because every single Democrat wants to shut down DHS and

1311
01:22:20,600 --> 01:22:23,280
Speaker 5: they say they're doing it to mess with ICE. ICE

1312
01:22:23,360 --> 01:22:27,680
Speaker 5: is funded to twenty twenty nine. So I don't think

1313
01:22:27,680 --> 01:22:30,679
Speaker 5: people understand that that young man there was there probably

1314
01:22:30,680 --> 01:22:35,880
Speaker 5: borrowing money to pay his rent. Right, that's shameful, Yeah,

1315
01:22:35,880 --> 01:22:38,080
Speaker 5: but it was just it was glorious.

1316
01:22:38,600 --> 01:22:42,479
Speaker 1: So you fly back on Air Force two and for

1317
01:22:42,560 --> 01:22:45,800
Speaker 1: those of US. I would venture to guess most of

1318
01:22:45,880 --> 01:22:47,960
Speaker 1: us have not been on either Air Force one or

1319
01:22:48,040 --> 01:22:48,960
Speaker 1: Air Force two.

1320
01:22:49,520 --> 01:22:50,280
Speaker 2: What is that like?

1321
01:22:52,000 --> 01:22:54,720
Speaker 5: Which is really neat, you know, I mean, it's part

1322
01:22:54,720 --> 01:22:56,839
Speaker 5: of our history. I did try to get the plaque

1323
01:22:56,880 --> 01:23:03,200
Speaker 5: off the wall. I posted that apparently the GORLA glorious. Well,

1324
01:23:03,280 --> 01:23:06,640
Speaker 5: you know, it is very very professional obviously, and the

1325
01:23:06,720 --> 01:23:08,640
Speaker 5: charities are comfortable and they just have snacks like a

1326
01:23:08,680 --> 01:23:12,760
Speaker 5: regular airplane ride, but you know it's not because you

1327
01:23:12,840 --> 01:23:17,080
Speaker 5: really understand what you're doing. And uh, unfortunately, the VP

1328
01:23:17,280 --> 01:23:20,000
Speaker 5: was on a national security call for the entire flight,

1329
01:23:20,080 --> 01:23:23,599
Speaker 5: like like thirty sexts before we landed, so normally you'd

1330
01:23:23,600 --> 01:23:25,920
Speaker 5: come back. This is because this is the first time

1331
01:23:25,960 --> 01:23:27,680
Speaker 5: I've read down that, but normally he comes back. It's

1332
01:23:27,720 --> 01:23:29,680
Speaker 5: US high. Like the president doesn't talk to everybody, but

1333
01:23:30,120 --> 01:23:32,240
Speaker 5: you know, he is the vice President of the United States,

1334
01:23:32,720 --> 01:23:35,639
Speaker 5: and he is working the whole time. That whole Trump

1335
01:23:35,680 --> 01:23:40,360
Speaker 5: administration works the whole time, uh, Administrator Lawfler. They have

1336
01:23:40,520 --> 01:23:44,479
Speaker 5: done transform transformational change for the Small Business Association for

1337
01:23:44,560 --> 01:23:46,200
Speaker 5: the good, and they've done it with a half the

1338
01:23:46,280 --> 01:23:49,120
Speaker 5: amount of people that Biden bumped it up to. Under COVID.

1339
01:23:49,400 --> 01:23:53,000
Speaker 5: They've been resoundingly more successful with less people because they're

1340
01:23:53,000 --> 01:23:55,920
Speaker 5: approaching it like an actual business. Imagine the Small Business

1341
01:23:56,000 --> 01:24:02,040
Speaker 5: Association acting like a business. I know, it's out shocking, right, yeah.

1342
01:24:02,240 --> 01:24:02,599
Speaker 3: It is.

1343
01:24:03,800 --> 01:24:08,160
Speaker 1: It's amazing how much has changed just in one year.

1344
01:24:08,920 --> 01:24:12,280
Speaker 1: And it seems as though, Yeah, Democrats are hill bent

1345
01:24:12,400 --> 01:24:13,440
Speaker 1: on backsliding.

1346
01:24:14,360 --> 01:24:16,120
Speaker 2: I guess you heard that.

1347
01:24:16,280 --> 01:24:18,960
Speaker 1: The SoundBite we played from the Vice president said, please

1348
01:24:19,560 --> 01:24:24,519
Speaker 1: do not send us crazy people in Congress. You, sir,

1349
01:24:24,800 --> 01:24:27,320
Speaker 1: are one of the top targets. In fact, I thought

1350
01:24:27,320 --> 01:24:32,519
Speaker 1: I saw as the top target for said crazy people.

1351
01:24:33,000 --> 01:24:37,240
Speaker 1: Wisconsin three third Congressional District, Derek Van Orden right up

1352
01:24:37,280 --> 01:24:41,200
Speaker 1: there as the district that they think that they can flip.

1353
01:24:43,600 --> 01:24:47,280
Speaker 5: Why why Democrats? Oh, go ahead, These Democrats have spent

1354
01:24:47,479 --> 01:24:54,040
Speaker 5: over three million dollars. Over three million dollars. They don't

1355
01:24:54,080 --> 01:24:56,000
Speaker 5: want me in office because they know I'm going to

1356
01:24:56,000 --> 01:24:58,559
Speaker 5: stand up to do what's right, regardless of what political

1357
01:24:58,560 --> 01:25:02,599
Speaker 5: party I'm affiliated with. That's what interesting though. I get

1358
01:25:02,640 --> 01:25:06,280
Speaker 5: things done, I work and vote for my constituents. I'm

1359
01:25:06,280 --> 01:25:09,080
Speaker 5: a very strong supporter of the Trump administration because they're

1360
01:25:09,080 --> 01:25:11,559
Speaker 5: doing what is right for Americans and we need more

1361
01:25:11,560 --> 01:25:13,799
Speaker 5: of that. And I just don't take guff from these people,

1362
01:25:14,280 --> 01:25:16,320
Speaker 5: like I'm not going to allow people that are telling

1363
01:25:16,360 --> 01:25:18,880
Speaker 5: me a four year old can say that they need

1364
01:25:18,920 --> 01:25:21,559
Speaker 5: to have their genitals mutilated because they're in the wrong body.

1365
01:25:21,720 --> 01:25:24,080
Speaker 5: You know, that's just not right. It's not okay. I'm

1366
01:25:24,120 --> 01:25:25,840
Speaker 5: not going to stand up and defend and get all

1367
01:25:25,840 --> 01:25:29,639
Speaker 5: weepy eyed when a criminal illegal alien who rapes, murders,

1368
01:25:29,640 --> 01:25:32,439
Speaker 5: and robs American citizens gets deported. I'm not going to

1369
01:25:32,560 --> 01:25:34,800
Speaker 5: do that, and I'm not going to be shy about

1370
01:25:34,800 --> 01:25:37,960
Speaker 5: it either. We have to get back to normalcy, and

1371
01:25:37,960 --> 01:25:40,960
Speaker 5: that is American citizens taking care of American citizens. And

1372
01:25:41,000 --> 01:25:43,320
Speaker 5: if you're not here lawfully, you're simply not here lawfully.

1373
01:25:43,760 --> 01:25:46,559
Speaker 5: And we've got to stop that. The young lady from

1374
01:25:46,640 --> 01:25:50,320
Speaker 5: Ukraine who's murdered on a bus by a guy who

1375
01:25:50,320 --> 01:25:53,880
Speaker 5: had been arrested and released thirteen times, her mother was

1376
01:25:53,920 --> 01:25:58,840
Speaker 5: there crying in the gallery and she was acknowledged by

1377
01:25:58,840 --> 01:26:02,040
Speaker 5: the President of the United States state. The Democrats would

1378
01:26:02,040 --> 01:26:05,600
Speaker 5: not stand up to acknowledge this mother's grief because it

1379
01:26:05,640 --> 01:26:08,559
Speaker 5: didn't fit their narrative. And I'm going to call them

1380
01:26:08,560 --> 01:26:10,519
Speaker 5: out every single day, and that I'm going to call

1381
01:26:10,600 --> 01:26:15,120
Speaker 5: Rebecca Cook out on being a professional political fundraiser pretending

1382
01:26:15,160 --> 01:26:17,799
Speaker 5: to be the small town girl. Look at her tax returns,

1383
01:26:18,200 --> 01:26:21,040
Speaker 5: look at her financial disclosures. The money is coming from

1384
01:26:21,120 --> 01:26:25,599
Speaker 5: George Soros. These organizations that are She's on a board

1385
01:26:25,600 --> 01:26:27,840
Speaker 5: of directors for a George Soros organization, I think tank,

1386
01:26:28,360 --> 01:26:31,280
Speaker 5: that money from Opportunity of Wisconsin, and these other organizations

1387
01:26:31,280 --> 01:26:34,240
Speaker 5: those are funded by George Soros. So this is all

1388
01:26:34,479 --> 01:26:37,599
Speaker 5: black and white FEC reports. You can look at everything.

1389
01:26:37,920 --> 01:26:41,200
Speaker 5: So George Soros is trying to buy the election in

1390
01:26:41,240 --> 01:26:46,120
Speaker 5: Wisconsin's third congressional district because I am a patriotic, godfaring America,

1391
01:26:46,200 --> 01:26:51,360
Speaker 5: loven American, love and retirety seal. That's a grandpa, and

1392
01:26:51,400 --> 01:26:55,360
Speaker 5: that's I just they don't want us here in government anymore.

1393
01:26:55,400 --> 01:26:57,960
Speaker 5: People that will stand up for the Constitution, for our

1394
01:26:57,960 --> 01:27:01,320
Speaker 5: American neighbors and make sure that we don't, you know,

1395
01:27:01,400 --> 01:27:05,240
Speaker 5: backslid into this economic disaster that's a Biden administration created.

1396
01:27:05,280 --> 01:27:07,720
Speaker 5: They just don't want that. And Rebecca Cook will do

1397
01:27:07,840 --> 01:27:12,040
Speaker 5: anything for political power. She's proven that repeatedly, and I won't.

1398
01:27:12,560 --> 01:27:15,479
Speaker 1: Wisconsin Congressman Derek Van Orden joining me here on the

1399
01:27:15,560 --> 01:27:19,960
Speaker 1: Dan O'Donnell show. This obviously is going to be I

1400
01:27:20,000 --> 01:27:24,639
Speaker 1: think a relatively difficult year for Republicans at least. I mean,

1401
01:27:24,760 --> 01:27:28,040
Speaker 1: as far as the cyclical nature of politics goes, it's

1402
01:27:28,160 --> 01:27:32,599
Speaker 1: usually a bad year for the president's party the first

1403
01:27:32,720 --> 01:27:35,640
Speaker 1: midterm after he's first elected. Yes, I know this is

1404
01:27:35,720 --> 01:27:39,839
Speaker 1: President Trump's second term, but obviously the non consecutive terms,

1405
01:27:40,840 --> 01:27:44,160
Speaker 1: the general thinking is that this is going to be

1406
01:27:44,240 --> 01:27:47,479
Speaker 1: a good Democrat year. What do you make of that,

1407
01:27:47,960 --> 01:27:51,479
Speaker 1: given the fact that your district is considered the closest

1408
01:27:51,520 --> 01:27:52,280
Speaker 1: in Wisconsin.

1409
01:27:53,600 --> 01:27:56,880
Speaker 5: I'm not buying it. Then, neither were the three hundred

1410
01:27:56,880 --> 01:27:59,680
Speaker 5: people that were in that manufacturing facility. They're not you

1411
01:27:59,720 --> 01:28:02,200
Speaker 5: know why because when they're working overtime, they're not getting

1412
01:28:02,240 --> 01:28:04,800
Speaker 5: taxed on their overtime anymore. Why should they be sending

1413
01:28:04,800 --> 01:28:07,719
Speaker 5: a cut of their overtime day to the United States government?

1414
01:28:07,760 --> 01:28:11,520
Speaker 5: They should? You know, we are a pub culture in Wisconsin.

1415
01:28:11,640 --> 01:28:14,040
Speaker 5: We go down to the bar, we watch a Packers game,

1416
01:28:14,200 --> 01:28:16,800
Speaker 5: we watch the Burgers, we talk about what's going on

1417
01:28:16,880 --> 01:28:19,240
Speaker 5: in town, all that stuff, talk about our farms. You know,

1418
01:28:19,280 --> 01:28:21,760
Speaker 5: who should not be getting taxed on their tips. The

1419
01:28:21,840 --> 01:28:24,320
Speaker 5: ladies that are actually and men they're working to serve

1420
01:28:24,400 --> 01:28:26,640
Speaker 5: us as we're down there in our culture. There's no

1421
01:28:26,720 --> 01:28:30,400
Speaker 5: tax on tips. Eighty eight percent of senior citizens who

1422
01:28:30,400 --> 01:28:33,840
Speaker 5: are on Social Security will not pay single nickel in

1423
01:28:33,960 --> 01:28:38,080
Speaker 5: federal tax on their Social Security eighty eight percent. They

1424
01:28:38,120 --> 01:28:41,160
Speaker 5: built this country, They built our schools, they built our roads,

1425
01:28:41,160 --> 01:28:43,960
Speaker 5: they built our houses. Why should they be paying taxes

1426
01:28:44,000 --> 01:28:46,559
Speaker 5: on their social security? They should not be doing that.

1427
01:28:46,760 --> 01:28:50,839
Speaker 5: We got a fifty billion dollar reuralth care fund, including

1428
01:28:50,840 --> 01:28:52,880
Speaker 5: two hundred and three million dollars, so that's just the

1429
01:28:52,920 --> 01:28:54,960
Speaker 5: first part of it, two and three million dollars from

1430
01:28:54,960 --> 01:28:57,599
Speaker 5: the state of Wisconsin. So when these Democrats are saying, oh,

1431
01:28:57,600 --> 01:28:59,640
Speaker 5: my gosh, you know, we care about real America and

1432
01:28:59,640 --> 01:29:03,680
Speaker 5: real hot they don't. Because every single Democrat voted against

1433
01:29:04,200 --> 01:29:08,639
Speaker 5: sending fifty billion dollars for rural health care infrastructure. Every

1434
01:29:08,680 --> 01:29:13,479
Speaker 5: single Democrat voted against, uh, not taxing tips. Every single

1435
01:29:13,520 --> 01:29:17,880
Speaker 5: Democrat voted against not taxing overtime. I got two very

1436
01:29:17,880 --> 01:29:20,240
Speaker 5: interesting notes on us. They have really good internet on

1437
01:29:20,280 --> 01:29:24,640
Speaker 5: the on air force two. Yeah, it's great, it's booming, you.

1438
01:29:24,640 --> 01:29:29,360
Speaker 2: Know, but that would make sense, it would make sense.

1439
01:29:29,400 --> 01:29:31,720
Speaker 5: But so I got two really neat messages. One was

1440
01:29:32,520 --> 01:29:34,639
Speaker 5: one of my constituents that they just got a four

1441
01:29:34,720 --> 01:29:37,519
Speaker 5: hundred and fifty dollars tax return. And why it was

1442
01:29:37,520 --> 01:29:40,799
Speaker 5: so crazy was because last year they paid almost thirteen

1443
01:29:40,880 --> 01:29:44,040
Speaker 5: hundred dollars in taxes, So that's a two thousand dollars

1444
01:29:44,080 --> 01:29:47,880
Speaker 5: swing towards the positives for everyday Americans. That's a lot

1445
01:29:47,920 --> 01:29:50,040
Speaker 5: of that's money, you know what I mean. Yeah, And

1446
01:29:50,240 --> 01:29:53,599
Speaker 5: another one was from one of my cranberry growers. We

1447
01:29:53,760 --> 01:29:56,840
Speaker 5: released the draft text for the farm bill that will

1448
01:29:56,840 --> 01:29:59,519
Speaker 5: be marking up on Tuesday, and he said, thank you

1449
01:29:59,560 --> 01:30:03,720
Speaker 5: so much. We're getting specialty crops included, and some really

1450
01:30:03,720 --> 01:30:06,639
Speaker 5: good things for our specialty crops. You know what we

1451
01:30:06,920 --> 01:30:11,040
Speaker 5: raised here. We're as ginsing and cranberries. So making sure

1452
01:30:11,080 --> 01:30:14,519
Speaker 5: that our specialty crops are taking care of our farmers

1453
01:30:14,560 --> 01:30:17,639
Speaker 5: is what we're doing. We're working in DC. So when

1454
01:30:17,800 --> 01:30:20,760
Speaker 5: all of these things come to fruition, which they are

1455
01:30:20,800 --> 01:30:24,720
Speaker 5: now because we made all those tax cuts and everything retroactive,

1456
01:30:25,600 --> 01:30:28,240
Speaker 5: when people get their tax returns, they're going to be like,

1457
01:30:28,439 --> 01:30:30,880
Speaker 5: holy bean bags, where just come from? It came from

1458
01:30:30,880 --> 01:30:33,880
Speaker 5: the one big, beautiful bill. And you know what this

1459
01:30:34,080 --> 01:30:38,360
Speaker 5: is all? It's the economy. Stupid gas prices are down.

1460
01:30:38,479 --> 01:30:43,559
Speaker 5: Eggs were nine dollars a dozen gas was five dollars

1461
01:30:43,600 --> 01:30:46,640
Speaker 5: a gallon. That's not happened anymore. Home prices are coming down,

1462
01:30:46,760 --> 01:30:50,080
Speaker 5: Rents are coming down two point four percent inflation. That's

1463
01:30:50,120 --> 01:30:52,519
Speaker 5: down from nine and a half percent under Biden. Interest

1464
01:30:52,600 --> 01:30:54,519
Speaker 5: rates as soon as polit gets out of there, they're

1465
01:30:54,560 --> 01:30:57,320
Speaker 5: going to come down. So we're working on the actual

1466
01:30:57,360 --> 01:30:59,439
Speaker 5: things that Americans care about, and they're going to start

1467
01:30:59,479 --> 01:31:01,360
Speaker 5: seeing it and they're going to go, oh my gosh,

1468
01:31:01,400 --> 01:31:03,560
Speaker 5: you know all this is right. The border is secure.

1469
01:31:03,800 --> 01:31:05,439
Speaker 5: Nine months in a row, there hasn't been a single

1470
01:31:05,479 --> 01:31:08,439
Speaker 5: criminal illegal alien released into the United States. Yeah, you

1471
01:31:08,439 --> 01:31:12,320
Speaker 5: know what that says. Ends of thousands of Americans are

1472
01:31:12,360 --> 01:31:14,640
Speaker 5: not going to have to go to this funeral for

1473
01:31:14,760 --> 01:31:17,400
Speaker 5: their child that was murdered by a criminal illegal alien.

1474
01:31:17,439 --> 01:31:19,360
Speaker 5: They're not going to have to deal with the lifelong

1475
01:31:19,400 --> 01:31:24,280
Speaker 5: devastation of sexual trauma for their kids that were committed

1476
01:31:24,280 --> 01:31:27,800
Speaker 5: by elite criminal illegal aliens. And that's that's a real

1477
01:31:27,840 --> 01:31:28,559
Speaker 5: tangible thing.

1478
01:31:29,120 --> 01:31:34,519
Speaker 1: Wisconsin Congressman Wisconsin Congressman Derek Van Orden always appreciate you

1479
01:31:34,760 --> 01:31:37,800
Speaker 1: having a comment on the program, making some time for us.

1480
01:31:38,479 --> 01:31:40,120
Speaker 1: I know it's been a busy day and I know

1481
01:31:40,760 --> 01:31:43,680
Speaker 1: we are going to be talking to you plenty this

1482
01:31:43,880 --> 01:31:47,760
Speaker 1: all important campaign season, this election year, and.

1483
01:31:49,120 --> 01:31:51,960
Speaker 2: Just real quick, actually I haven't gotten a chance to

1484
01:31:51,960 --> 01:31:52,200
Speaker 2: ask you.

1485
01:31:52,320 --> 01:31:54,639
Speaker 1: I ask Congressman Style about this, but you're the one

1486
01:31:54,640 --> 01:31:57,880
Speaker 1: that they're really targeting with the attempt to redraw the

1487
01:31:57,920 --> 01:32:00,120
Speaker 1: congressional map. What's your thought on that? Do you think

1488
01:32:00,160 --> 01:32:06,480
Speaker 1: they actually succeed? Before the twenty twenty sixth election, the last.

1489
01:32:06,240 --> 01:32:10,800
Speaker 5: Two radical leftist justices that were elected to the Wisconsin

1490
01:32:10,840 --> 01:32:15,760
Speaker 5: Supreme Court campaigned and fundraised off of redistricting. I don't

1491
01:32:15,800 --> 01:32:22,120
Speaker 5: think when Tony ebers is saying that the maps that

1492
01:32:22,200 --> 01:32:25,880
Speaker 5: he drew were unconstitutional and now he has a really

1493
01:32:26,000 --> 01:32:29,120
Speaker 5: left court, I'm putting nothing past these cats at all.

1494
01:32:30,000 --> 01:32:34,599
Speaker 5: What we're trying to do is govern for governance sake.

1495
01:32:35,120 --> 01:32:37,160
Speaker 5: What the left is trying to do is gain raw

1496
01:32:37,200 --> 01:32:41,639
Speaker 5: political power to rule Americans. There's a very distinctly different

1497
01:32:41,680 --> 01:32:44,200
Speaker 5: philosophical things where we're coming from. I don't want to

1498
01:32:44,240 --> 01:32:47,599
Speaker 5: tell anybody what to do, and I think Americans should

1499
01:32:47,600 --> 01:32:50,000
Speaker 5: be able to do things that are lawful, you know

1500
01:32:50,000 --> 01:32:52,880
Speaker 5: what I mean. But I don't want to covid era,

1501
01:32:53,360 --> 01:32:58,160
Speaker 5: you know, make Americans abide by the will of the

1502
01:32:58,200 --> 01:33:00,680
Speaker 5: federal government. I just don't want to do that. And

1503
01:33:00,720 --> 01:33:03,920
Speaker 5: the Democrat Party wants to tell you everything you can

1504
01:33:03,960 --> 01:33:06,519
Speaker 5: and cannot do. Where you can go to school, if

1505
01:33:06,560 --> 01:33:08,800
Speaker 5: you got to wear this mask, if you have to

1506
01:33:09,400 --> 01:33:11,559
Speaker 5: pay half of your salary or forty percent. They're talking

1507
01:33:11,560 --> 01:33:15,040
Speaker 5: about forty percent death tax in the state of Wisconsin.

1508
01:33:15,080 --> 01:33:17,880
Speaker 5: We just got rid of that. We just damn this

1509
01:33:17,920 --> 01:33:20,320
Speaker 5: is super important for our farmers. We've got fifteen million

1510
01:33:20,320 --> 01:33:24,320
Speaker 5: dollars per person exclusion for federal taxes for the death tax,

1511
01:33:24,360 --> 01:33:26,000
Speaker 5: so you can give your family farm to your kids.

1512
01:33:27,040 --> 01:33:28,280
Speaker 2: That's absolutely insane.

1513
01:33:29,240 --> 01:33:31,240
Speaker 5: Thirty million dollars that you're not gonna have to pay

1514
01:33:31,600 --> 01:33:33,880
Speaker 5: with your family farm. The Democrats that are kicking around

1515
01:33:33,920 --> 01:33:38,759
Speaker 5: a forty percent death tax. Of course you're in Wisconsin. Yeah,

1516
01:33:38,800 --> 01:33:41,880
Speaker 5: so no, forget about it, all right. Yeah, we're not

1517
01:33:41,920 --> 01:33:43,040
Speaker 5: going to do that, all right, man.

1518
01:33:43,160 --> 01:33:46,800
Speaker 1: Congressman Ben Orton always appreciate talking to you. You are

1519
01:33:46,880 --> 01:33:50,400
Speaker 1: listening to the Dan o'donalds Show. A state assembly woman

1520
01:33:50,520 --> 01:33:56,320
Speaker 1: faces criminal charges, but is this actually lawful? We'll get

1521
01:33:56,360 --> 01:34:03,639
Speaker 1: into that coming up next. Classical Conservatism Contemporary Style. Welcome

1522
01:34:03,680 --> 01:34:09,200
Speaker 1: back to the Dan O'Donnell Show. Our thanks once again,

1523
01:34:09,240 --> 01:34:12,320
Speaker 1: to Congressman Derek Van Orton. He's always an entertaining guy

1524
01:34:12,439 --> 01:34:16,639
Speaker 1: to talk to, always very insightful as well. We reported

1525
01:34:16,680 --> 01:34:20,759
Speaker 1: exclusively here on the show yesterday that Sylvia Ortiz Villaz,

1526
01:34:21,280 --> 01:34:26,280
Speaker 1: Democrat state assembly woman from Milwaukee, was being charged with

1527
01:34:26,479 --> 01:34:33,320
Speaker 1: disorderly conduct for essentially threatening to talk to a reporter

1528
01:34:34,040 --> 01:34:39,320
Speaker 1: about Priscilla Prato, another republic or excuse me, Democratic Assembly

1529
01:34:39,520 --> 01:34:47,400
Speaker 1: rep and her personal life. Folks, there is literally nothing

1530
01:34:47,760 --> 01:34:52,880
Speaker 1: in the Statute on Disorderly Conduct that would cover this

1531
01:34:55,280 --> 01:35:00,320
Speaker 1: truly disorderly conduct in wiscon.

1532
01:35:01,400 --> 01:35:01,519
Speaker 4: Is.

1533
01:35:04,560 --> 01:35:08,679
Speaker 1: It is in statute codified as nine to forty seven

1534
01:35:08,720 --> 01:35:09,360
Speaker 1: point oh one.

1535
01:35:09,439 --> 01:35:11,759
Speaker 2: With that section nine forty seven point.

1536
01:35:11,600 --> 01:35:18,720
Speaker 1: Oh one, whoever, in a public or private place engages

1537
01:35:18,880 --> 01:35:29,840
Speaker 1: in violent, abusive, indecent, profane, boisterous, unreasonably loud, or otherwise

1538
01:35:29,960 --> 01:35:34,960
Speaker 1: disorderly conduct under circumstances in which the conduct tends to

1539
01:35:35,040 --> 01:35:38,799
Speaker 1: cause or provoke a disturbance is guilty of a Class

1540
01:35:38,840 --> 01:35:39,920
Speaker 1: B misdemeanor.

1541
01:35:42,320 --> 01:35:46,160
Speaker 2: Okay, Sylvia Ortiz.

1542
01:35:45,840 --> 01:35:52,400
Speaker 1: Villaise is accused of texting saying, Hey, if you don't

1543
01:35:52,400 --> 01:35:54,840
Speaker 1: do what I want, I'm going to go to the

1544
01:35:54,920 --> 01:35:58,960
Speaker 1: media and talk bad about you. This is all very

1545
01:35:59,360 --> 01:36:04,120
Speaker 1: sixth grade girl, and I have a sixth grade daughter.

1546
01:36:04,920 --> 01:36:07,759
Speaker 1: I am well versed in how sixth grades. I coach

1547
01:36:07,800 --> 01:36:10,920
Speaker 1: a team of sixth grade girls and they're all incredibly sweet.

1548
01:36:12,200 --> 01:36:17,360
Speaker 1: But this is how if if you don't invite me

1549
01:36:17,520 --> 01:36:22,880
Speaker 1: to the sleepover, I'm gonna tell Aubrey that you still

1550
01:36:22,920 --> 01:36:23,799
Speaker 1: sleep with a blankie.

1551
01:36:23,880 --> 01:36:24,320
Speaker 2: I don't know.

1552
01:36:25,840 --> 01:36:28,040
Speaker 1: I think all six grade girls are like open about

1553
01:36:28,040 --> 01:36:30,599
Speaker 1: the fact that they still have their blankies and their lovees.

1554
01:36:30,640 --> 01:36:33,360
Speaker 1: The boys are a little more secretive. They're a little

1555
01:36:33,400 --> 01:36:38,160
Speaker 1: more guarded about that sort of thing. Whoever, in a

1556
01:36:38,160 --> 01:36:42,120
Speaker 1: public or private place engages in violent, abusive, indecent, profane, boisterous,

1557
01:36:42,200 --> 01:36:46,640
Speaker 1: or unreasonably loud, or otherwise disorderly conduct under circumstances in

1558
01:36:46,680 --> 01:36:49,280
Speaker 1: which the conduct tends to cause or provoke a disturbance,

1559
01:36:49,640 --> 01:36:51,120
Speaker 1: is guilty of a class be Mister.

1560
01:36:51,280 --> 01:36:52,240
Speaker 2: Does any of this?

1561
01:36:54,240 --> 01:37:01,000
Speaker 1: Was it violent behavior that ortiz VILLEZ engaged in? Abusive behavior,

1562
01:37:01,160 --> 01:37:08,360
Speaker 1: indecent behavior, profane, boisterous, unreasonably loud? No, the statute doesn't

1563
01:37:08,400 --> 01:37:13,559
Speaker 1: apply here. I'm actually kind of shocked by this. Quite frankly,

1564
01:37:14,560 --> 01:37:19,440
Speaker 1: for those who missed the story yesterday, pretty much everybody

1565
01:37:19,479 --> 01:37:23,719
Speaker 1: else followed us on this in very short order after

1566
01:37:23,800 --> 01:37:35,920
Speaker 1: we reported exclusively ortez Villas allegedly threatened fellow Democrats, and

1567
01:37:36,000 --> 01:37:41,320
Speaker 1: we can now identify those fellow Democrats. There were three witnesses.

1568
01:37:42,439 --> 01:37:50,400
Speaker 1: Witness one Priscilla Prado, Witness two in the criminal complaint,

1569
01:37:51,240 --> 01:37:54,120
Speaker 1: I am led to believe is Greta Neubauer, who is

1570
01:37:54,200 --> 01:38:02,360
Speaker 1: the Assembly Minority speaker, and Witness three is Democratic Spencer Haywood.

1571
01:38:03,360 --> 01:38:11,400
Speaker 1: So you've got three Democrats who are all involved in this. Okay,

1572
01:38:13,680 --> 01:38:18,639
Speaker 1: three Democrats, I'm sorry, not Spencer Kaylin Haywood, Kayln Heywood Junior.

1573
01:38:20,600 --> 01:38:23,240
Speaker 1: I think he goes by Kayln Haywood. The second Spencer

1574
01:38:23,320 --> 01:38:25,960
Speaker 1: Haywood's a basketball player. The heck did I get that one?

1575
01:38:26,120 --> 01:38:32,080
Speaker 1: Spencer haywend So you've got three Democrats who are all

1576
01:38:33,120 --> 01:38:37,960
Speaker 1: ticking off or teas Vallees. According to the criminal complaint,

1577
01:38:38,400 --> 01:38:43,080
Speaker 1: or teas Valez was upset about the resolution. She stated

1578
01:38:43,080 --> 01:38:46,240
Speaker 1: that because witness won, that's Priscilla Prado, who is the

1579
01:38:46,360 --> 01:38:51,160
Speaker 1: chair of the Democrat Hispanic Caucus. Because she was moving

1580
01:38:51,200 --> 01:38:53,920
Speaker 1: forward with the resolution, or tees Valez was going to

1581
01:38:53,960 --> 01:38:59,640
Speaker 1: tell the press negative personal information about Witness one. The

1582
01:38:59,680 --> 01:39:06,559
Speaker 1: complain further alleges that another Democrat assembly member Witness three,

1583
01:39:06,840 --> 01:39:12,320
Speaker 1: who we believe to be Kaitlin Haywood. Witness three stated

1584
01:39:12,360 --> 01:39:15,240
Speaker 1: that on October or excuse me, August twenty ninth, twenty

1585
01:39:15,280 --> 01:39:18,360
Speaker 1: twenty five, or TEESVILLEZ called him and stated, they are

1586
01:39:18,360 --> 01:39:20,720
Speaker 1: going to do what I want them to do or

1587
01:39:20,840 --> 01:39:23,760
Speaker 1: I Am going to do X Y and Z. When

1588
01:39:23,800 --> 01:39:28,000
Speaker 1: Witness three Heywood asked what X Y and Z were.

1589
01:39:28,120 --> 01:39:32,080
Speaker 1: Or Teesville has made comments about Witness one Proto's personal life,

1590
01:39:32,120 --> 01:39:36,360
Speaker 1: as well as comments about Prato and other legislators.

1591
01:39:38,800 --> 01:39:40,479
Speaker 2: How is any of this.

1592
01:39:42,640 --> 01:39:50,479
Speaker 1: Boisterous, unreasonably loud, indecent, profane, violent or abusive conduct. I

1593
01:39:50,520 --> 01:39:55,479
Speaker 1: have read this criminal complaint backwards and forwards about three times.

1594
01:39:55,560 --> 01:40:01,840
Speaker 1: It is remarkably short, primarily because there's really nothing to this.

1595
01:40:05,800 --> 01:40:11,040
Speaker 1: I do not see how the elements of the crime are.

1596
01:40:13,040 --> 01:40:13,280
Speaker 5: Fit.

1597
01:40:15,920 --> 01:40:21,919
Speaker 1: Okay, here is what the complaining officer of the Capitol

1598
01:40:21,960 --> 01:40:28,160
Speaker 1: Police says. This is at the end of the the.

1599
01:40:28,200 --> 01:40:29,480
Speaker 2: End of the criminal complaint.

1600
01:40:31,520 --> 01:40:37,080
Speaker 1: These were personal attacks regarding Witness I Prato that were

1601
01:40:37,160 --> 01:40:41,720
Speaker 1: outside the bounds of political response. The statements were indecent

1602
01:40:42,400 --> 01:40:47,719
Speaker 1: and tended to disrupt the good public order. How truly,

1603
01:40:49,760 --> 01:40:58,080
Speaker 1: how criminal complaint in September twenty twenty five. Capitol Police

1604
01:40:58,120 --> 01:41:01,879
Speaker 1: became aware of concerning statements made by ortiz Blez immediately

1605
01:41:01,920 --> 01:41:05,960
Speaker 1: before Labor Day weekend on October twenty ninth, twenty twenty five.

1606
01:41:08,040 --> 01:41:12,760
Speaker 1: Witness two, this is Newbauer. So we believe Neubauer was

1607
01:41:12,800 --> 01:41:15,719
Speaker 1: the one who called the Capitol police, which makes sense

1608
01:41:15,840 --> 01:41:20,480
Speaker 1: because Neubauer Capitol Police are the one suit basically protect

1609
01:41:20,600 --> 01:41:26,080
Speaker 1: people inside the Capitol for from from threats, right, just

1610
01:41:26,160 --> 01:41:28,400
Speaker 1: like I mean, everybody knows the Capitol Police from the

1611
01:41:28,640 --> 01:41:32,680
Speaker 1: January sixth incident. Okay, everybody Capitol police, same basic thing

1612
01:41:33,080 --> 01:41:37,240
Speaker 1: in Wisconsin. So Witness two, who we can now report

1613
01:41:37,320 --> 01:41:40,599
Speaker 1: is almost certainly Greta Neubauer. And this makes sense because

1614
01:41:40,640 --> 01:41:44,240
Speaker 1: she called the Capitol police to say that she was

1615
01:41:44,320 --> 01:41:48,760
Speaker 1: going to take an AK forty seven to a knife fight.

1616
01:41:49,200 --> 01:41:51,720
Speaker 1: That's heated language, to be sure.

1617
01:41:53,920 --> 01:41:58,080
Speaker 2: Is it? Is it disorderly?

1618
01:42:00,479 --> 01:42:00,839
Speaker 5: Okay?

1619
01:42:02,240 --> 01:42:05,800
Speaker 2: That never makes it to the criminal complaint. That would

1620
01:42:05,840 --> 01:42:06,200
Speaker 2: be the one.

1621
01:42:06,280 --> 01:42:10,240
Speaker 1: Okay, if she is saying, and you could like reasonably interpret,

1622
01:42:10,800 --> 01:42:13,080
Speaker 1: all right, she's threatening to shoot up the Capitol.

1623
01:42:13,120 --> 01:42:19,519
Speaker 2: Oh yeah, maybe that's just that's never actually alleged. Listen

1624
01:42:19,560 --> 01:42:19,920
Speaker 2: to this.

1625
01:42:22,320 --> 01:42:24,840
Speaker 1: Witness two reported that she spoke on the phone with

1626
01:42:25,000 --> 01:42:29,320
Speaker 1: ortiz Valz. Ortiz Vales told Witness two that she would

1627
01:42:29,320 --> 01:42:31,840
Speaker 1: go to the press with negative things about Witness one

1628
01:42:32,280 --> 01:42:35,640
Speaker 1: if Witness one did not rescind her resolution. Remember this

1629
01:42:35,720 --> 01:42:39,000
Speaker 1: is it's not like a bill that is going to

1630
01:42:39,120 --> 01:42:43,720
Speaker 1: change the course of Wisconsin. It's hottering Hispanic heritage month. Ultimately,

1631
01:42:43,720 --> 01:42:47,040
Speaker 1: who gives a rip If ortiz Valez is on this,

1632
01:42:47,160 --> 01:42:51,040
Speaker 1: it's not really a big thing. Okay, So orties Valez says,

1633
01:42:51,080 --> 01:42:54,360
Speaker 1: I'm going to go talk bad about Priscilla Prado if

1634
01:42:54,360 --> 01:43:01,000
Speaker 1: she goes forward with this. On September second, Witness I

1635
01:43:01,800 --> 01:43:05,719
Speaker 1: again spoke with orties Valez on the phone. Orties Valez

1636
01:43:05,840 --> 01:43:09,080
Speaker 1: was upset about the resolution. She stated that because Witness

1637
01:43:09,080 --> 01:43:12,200
Speaker 1: one was moving forward with the resolution or tees Valez

1638
01:43:12,240 --> 01:43:14,719
Speaker 1: was going to tell the press negative personal information about

1639
01:43:14,720 --> 01:43:18,599
Speaker 1: Witness one Prada. Witness two, Nubauer reported, orties Valez said,

1640
01:43:18,640 --> 01:43:21,000
Speaker 1: I'm going to call the press and tell them Witness

1641
01:43:21,000 --> 01:43:27,639
Speaker 1: one is engaging in inappropriate personal actions. Now, okay, let's say,

1642
01:43:28,160 --> 01:43:30,240
Speaker 1: and I'm just going to be totally clear about that.

1643
01:43:30,280 --> 01:43:32,679
Speaker 1: I have no idea what it is that orties Valez

1644
01:43:32,720 --> 01:43:36,160
Speaker 1: was gonna say, let's say Priscilla Prado is having an affair. Okay,

1645
01:43:36,240 --> 01:43:38,680
Speaker 1: that's like the standard one that you blackmail. Okay, I'm

1646
01:43:38,680 --> 01:43:42,800
Speaker 1: gonna tell everybody about your affair if it's not true.

1647
01:43:43,320 --> 01:43:48,200
Speaker 1: Priscilla Prado absolutely has an actionable claim about defamation, that

1648
01:43:48,520 --> 01:43:51,360
Speaker 1: she was defamed and even though she's a public figure,

1649
01:43:51,640 --> 01:43:56,400
Speaker 1: that Ortiesvillez acted with reckless disregard for the truth, knowing

1650
01:43:56,439 --> 01:43:59,360
Speaker 1: full well she's not having an affair. I frankly, I

1651
01:43:59,400 --> 01:44:02,320
Speaker 1: don't think Riscilla Prado is having an affair. Okay, I'm

1652
01:44:02,439 --> 01:44:05,519
Speaker 1: using this as an example. Please, Priscilla Prado, don't sue

1653
01:44:05,520 --> 01:44:09,400
Speaker 1: me or Greta Neubauer, Please don't file criminal charges against me.

1654
01:44:10,720 --> 01:44:13,600
Speaker 1: You know, damn well, Greta Nubauer is already on the

1655
01:44:13,680 --> 01:44:17,120
Speaker 1: phone with her Capitol police officer looking for a way

1656
01:44:17,160 --> 01:44:21,200
Speaker 1: to criminally charge Dan O'Donnell with saying mean things about her.

1657
01:44:22,880 --> 01:44:26,880
Speaker 1: Oh that Dan O'Donnell. He almost single handedly derailed my

1658
01:44:27,040 --> 01:44:30,720
Speaker 1: mom's candidacy for Supreme Court. Remember, we were the ones who,

1659
01:44:30,800 --> 01:44:36,120
Speaker 1: in painstaking detail, outlined all of the corruption Lisa Neubauer

1660
01:44:36,240 --> 01:44:40,880
Speaker 1: was undergoing with cases she was taking that directly impacted

1661
01:44:40,920 --> 01:44:44,280
Speaker 1: her family's biz. Oh is that a corrupt judge? And yes,

1662
01:44:44,479 --> 01:44:47,840
Speaker 1: I stand by that one hundred percent. But let's say

1663
01:44:48,560 --> 01:44:52,559
Speaker 1: Greta Neubauer found out beforehand that I was going to

1664
01:44:52,600 --> 01:44:56,120
Speaker 1: do this. She calls up the Capitol Police and says,

1665
01:44:56,400 --> 01:44:59,519
Speaker 1: you know that Dan O'Donnell is threatening to go on

1666
01:44:59,560 --> 01:45:04,360
Speaker 1: the radio alleging that my mom was engaged in shady rulings,

1667
01:45:04,439 --> 01:45:08,040
Speaker 1: refusing to recuse herself from cases she should have and

1668
01:45:08,120 --> 01:45:13,000
Speaker 1: then giving rulings that significantly enriched her husband, my dad,

1669
01:45:13,200 --> 01:45:20,920
Speaker 1: and herself. Could I be charged with Could I be

1670
01:45:21,000 --> 01:45:22,639
Speaker 1: charged with disorderly conduct?

1671
01:45:23,439 --> 01:45:23,719
Speaker 2: Now?

1672
01:45:24,479 --> 01:45:28,760
Speaker 1: Rather obviously I am a member of the press, and

1673
01:45:28,800 --> 01:45:32,080
Speaker 1: I am reporting something that happened to be factually completely accurate.

1674
01:45:35,280 --> 01:45:39,840
Speaker 1: This is I had a couple of people saying yesterday, well,

1675
01:45:39,840 --> 01:45:42,360
Speaker 1: why is Dan going off? What do I care about

1676
01:45:42,360 --> 01:45:45,040
Speaker 1: democrats getting into a peepee match with each other?

1677
01:45:45,240 --> 01:45:46,639
Speaker 2: This is way beyond that.

1678
01:45:48,200 --> 01:45:52,719
Speaker 1: This is a law enforcement agency, the law enforcement agency

1679
01:45:52,760 --> 01:45:57,320
Speaker 1: that we trust to provide security for and to investigate

1680
01:45:57,479 --> 01:46:02,960
Speaker 1: threats at the Wisconsin Capital. Right they are being used

1681
01:46:03,040 --> 01:46:08,479
Speaker 1: as like a secret police by the Assembly minority leader,

1682
01:46:08,760 --> 01:46:13,840
Speaker 1: who is then getting the flimsiest possible case before the

1683
01:46:14,680 --> 01:46:18,520
Speaker 1: what is this the Dane County District Attorney's office.

1684
01:46:20,880 --> 01:46:22,120
Speaker 2: Or where was this filed?

1685
01:46:22,960 --> 01:46:28,920
Speaker 1: Not Milwaukee Milwaukee DA's office. First of all, I'm not

1686
01:46:29,000 --> 01:46:32,160
Speaker 1: necessarily sure that this was the proper venue. I guess

1687
01:46:32,160 --> 01:46:35,200
Speaker 1: if all of this took place while she was physically well, yeah,

1688
01:46:35,200 --> 01:46:37,280
Speaker 1: I guess she would have been physically in Milwaukee County.

1689
01:46:37,280 --> 01:46:38,360
Speaker 2: So okay, this is Milwaukee.

1690
01:46:38,360 --> 01:46:38,519
Speaker 5: Die.

1691
01:46:38,800 --> 01:46:39,560
Speaker 2: I apologize.

1692
01:46:39,600 --> 01:46:41,880
Speaker 1: I think yesterday I ripped on the Dane County District

1693
01:46:41,920 --> 01:46:50,519
Speaker 1: Attorney's office it was Milwaukee County. I am, I am

1694
01:46:50,560 --> 01:46:59,560
Speaker 1: actually shocked. The assistant District Attorney is Matthew Richard Westfall.

1695
01:46:59,720 --> 01:47:04,600
Speaker 1: This might actually be the single most corrupt prosecution I

1696
01:47:04,640 --> 01:47:09,800
Speaker 1: think I have ever seen. You have the District Attorney's

1697
01:47:09,840 --> 01:47:17,200
Speaker 1: office in Milwaukee, no processing hundreds of crimes every single year.

1698
01:47:18,960 --> 01:47:22,479
Speaker 1: When our good friends at Wisconsin right Now realized what

1699
01:47:22,520 --> 01:47:24,280
Speaker 1: they were doing during the COVID era, do you know

1700
01:47:24,320 --> 01:47:29,000
Speaker 1: what former DA John Chismodee stopped providing statistics on no

1701
01:47:29,120 --> 01:47:38,439
Speaker 1: processing of crimes? Absolutely dirty, absolutely corrupt. I I am

1702
01:47:38,479 --> 01:47:42,320
Speaker 1: actually kind of shocked about this. Now there is an

1703
01:47:42,400 --> 01:47:46,559
Speaker 1: open question as to whether or not this is constitutional.

1704
01:47:48,720 --> 01:47:54,879
Speaker 1: There is a section of the Wisconsin Constitution that says,

1705
01:47:54,960 --> 01:47:59,599
Speaker 1: and I quote, members of the Legislature shall, in all

1706
01:47:59,720 --> 01:48:03,759
Speaker 1: cases is accept treason, felony, and breach of the peace,

1707
01:48:04,400 --> 01:48:08,160
Speaker 1: be privileged from arrest, nor shall they be subject to

1708
01:48:08,320 --> 01:48:12,200
Speaker 1: any civil process during the session of the Legislature, nor

1709
01:48:12,240 --> 01:48:15,920
Speaker 1: for fifteen days next before the commencement and after the

1710
01:48:16,000 --> 01:48:25,080
Speaker 1: termination of each session. Assembly session just ended on Friday.

1711
01:48:26,160 --> 01:48:36,320
Speaker 1: She was criminally charged on Wednesday. That's less than fifteen days.

1712
01:48:37,640 --> 01:48:38,000
Speaker 5: Now.

1713
01:48:38,360 --> 01:48:41,519
Speaker 1: She has not been arrested. So I think this is

1714
01:48:41,600 --> 01:48:46,639
Speaker 1: where it probably passes constitutional muster just by the skin

1715
01:48:46,760 --> 01:48:51,479
Speaker 1: of its teeth. But I think ortiz valeise. First of all,

1716
01:48:51,479 --> 01:48:54,840
Speaker 1: if a judge doesn't immediately throw this out, you'll know

1717
01:48:54,920 --> 01:49:00,160
Speaker 1: the fixes in this is Honestly, this is I I'm

1718
01:49:00,200 --> 01:49:05,280
Speaker 1: offended as someone who went to law school and is

1719
01:49:05,320 --> 01:49:08,000
Speaker 1: a nonpractice sing I am actually a fact. You know

1720
01:49:08,040 --> 01:49:11,880
Speaker 1: why people hate lawyers. It's because of I almost said

1721
01:49:11,920 --> 01:49:15,160
Speaker 1: the S word. It's because of stuff like this. It

1722
01:49:15,280 --> 01:49:20,920
Speaker 1: is an abuse of authority for political payback. This is

1723
01:49:21,040 --> 01:49:28,720
Speaker 1: political payback, pure and simple. Seriously, you know what I'm

1724
01:49:28,760 --> 01:49:31,599
Speaker 1: gonna do. I'm gonna post the entire criminal complaint and

1725
01:49:31,640 --> 01:49:35,640
Speaker 1: I'm going to say any lawyer I defy any attorney

1726
01:49:36,280 --> 01:49:39,759
Speaker 1: who reads this on social media. You find a criminal charge,

1727
01:49:39,960 --> 01:49:42,160
Speaker 1: you find a disorderly conduct charge.

1728
01:49:42,160 --> 01:49:42,360
Speaker 5: Here.

1729
01:49:44,000 --> 01:49:48,320
Speaker 1: Look, I don't know Sylvia ortiz Villez. Good chance I

1730
01:49:48,320 --> 01:49:51,680
Speaker 1: couldn't pick her out of a lineup, all right. To

1731
01:49:51,760 --> 01:49:54,519
Speaker 1: my knowledge, I'd never really spoken to her. I might

1732
01:49:54,560 --> 01:50:00,599
Speaker 1: have exchanged pleasantries at some event. And heaven knows, Dan

1733
01:50:00,680 --> 01:50:04,439
Speaker 1: O'Donnell is not in the habit of defending democrats all

1734
01:50:04,479 --> 01:50:12,040
Speaker 1: that much. But my god, if this isn't the most

1735
01:50:12,120 --> 01:50:17,280
Speaker 1: obvious thing, this is flat out corruption. I'm sorry, this

1736
01:50:17,360 --> 01:50:20,519
Speaker 1: is absolute, flat out corruption. Now that you know Witness

1737
01:50:20,600 --> 01:50:25,200
Speaker 1: two just happens to be the most powerful Democrat in

1738
01:50:25,240 --> 01:50:30,880
Speaker 1: the Wisconsin Assembly, does that change things? So Witness too

1739
01:50:31,760 --> 01:50:35,519
Speaker 1: is very clearly talking to this little Ada Bretta Neubauer

1740
01:50:35,920 --> 01:50:39,519
Speaker 1: and saying, hey, we really think you should file criminal charges?

1741
01:50:40,160 --> 01:50:43,080
Speaker 2: What about this? Whoever? In a but what about this

1742
01:50:43,120 --> 01:50:43,800
Speaker 2: is disorderly?

1743
01:50:45,600 --> 01:50:51,800
Speaker 1: Was Sylvia ortiz Villez in telling Caylin Haywood and Greta Neubauer? Yeah,

1744
01:50:51,840 --> 01:50:54,559
Speaker 1: I'm gonna say mean stuff about Priscilla Prado.

1745
01:50:55,600 --> 01:51:00,600
Speaker 2: Was she being violent? No? Was she being a abusive?

1746
01:51:01,720 --> 01:51:02,320
Speaker 2: Not really?

1747
01:51:02,560 --> 01:51:02,760
Speaker 5: No?

1748
01:51:03,240 --> 01:51:06,800
Speaker 1: When you say abusive, it's like screaming in somebody's face.

1749
01:51:07,080 --> 01:51:09,479
Speaker 1: Disorderly conduct is like when there's a fight at a

1750
01:51:09,520 --> 01:51:13,080
Speaker 1: bar and you can't really everybody gets disorderly conduct charges.

1751
01:51:13,120 --> 01:51:16,679
Speaker 1: That's sort of like the catchup. So under the intent

1752
01:51:16,760 --> 01:51:20,680
Speaker 1: of the statue, was she being violent, no abusive, no indecent?

1753
01:51:21,680 --> 01:51:27,080
Speaker 1: Was she sending naughty picks along with her threats? No profane,

1754
01:51:27,439 --> 01:51:33,439
Speaker 1: no boisterous, no unreasonably loud or otherwise. No, there's no

1755
01:51:33,680 --> 01:51:37,800
Speaker 1: basis for this charge whatsoever. All Right, we got to

1756
01:51:37,840 --> 01:51:40,280
Speaker 1: step aside. I know we're running very very late for

1757
01:51:40,320 --> 01:51:43,040
Speaker 1: a break. You're listening to the dan O judgeon. I

1758
01:51:43,080 --> 01:51:44,840
Speaker 1: told you I was gonna get worked up over this.

1759
01:51:44,960 --> 01:51:47,559
Speaker 2: It is an abuse of the law. That's no other

1760
01:51:47,600 --> 01:51:51,599
Speaker 2: way to put abuse of the law. Just a couple

1761
01:51:51,640 --> 01:51:52,280
Speaker 2: of minutes left.

1762
01:51:52,320 --> 01:51:54,320
Speaker 1: Yeah, we're gonna actually have to end a little bit

1763
01:51:54,400 --> 01:51:56,080
Speaker 1: before six o'clock.

1764
01:51:56,840 --> 01:51:59,639
Speaker 2: I went way long in that last segment. Folks.

1765
01:52:00,200 --> 01:52:02,920
Speaker 1: Yes, it's easy to say, what do I care about

1766
01:52:03,000 --> 01:52:08,400
Speaker 1: some random state assembly woman catching a disorderly conduct charge?

1767
01:52:09,040 --> 01:52:12,080
Speaker 1: It is easy to say that it is absolutely wrong

1768
01:52:12,200 --> 01:52:16,920
Speaker 1: to say that every single Wisconsin I should care about this, because, frankly,

1769
01:52:17,479 --> 01:52:21,360
Speaker 1: if they can manufacture criminal charges against one of their

1770
01:52:21,439 --> 01:52:24,720
Speaker 1: own caucus members. What do you think they could do

1771
01:52:24,840 --> 01:52:27,559
Speaker 1: to Republicans? What do you think they could do to you?

1772
01:52:27,680 --> 01:52:33,680
Speaker 1: And yes, folks, this is not unnecessarily apocalyptic. These are bogus,

1773
01:52:33,840 --> 01:52:39,240
Speaker 1: trumped up charges against Sylvia ortiz Valez and folks at

1774
01:52:39,280 --> 01:52:43,479
Speaker 1: a massive, huge level. This is exactly what happened throughout

1775
01:52:43,479 --> 01:52:46,120
Speaker 1: twenty twenty three and the early part of twenty twenty

1776
01:52:46,160 --> 01:52:49,040
Speaker 1: four when Democrats were doing the exact same thing to

1777
01:52:49,120 --> 01:52:53,759
Speaker 1: Donald Trump. They just sort of invented criminal charges against

1778
01:52:53,800 --> 01:52:57,360
Speaker 1: him to try to politically stop him. And why are

1779
01:52:57,360 --> 01:53:00,320
Speaker 1: they doing this to Sylvia ortiz Valez. Well, because, says

1780
01:53:00,360 --> 01:53:04,320
Speaker 1: we reported on the Dan O'Donnell show exclusively on Friday,

1781
01:53:04,760 --> 01:53:08,280
Speaker 1: she was the one who actually proved that Democrats were

1782
01:53:08,439 --> 01:53:12,800
Speaker 1: forcing their own members from the floor of the Assembly.

1783
01:53:12,880 --> 01:53:17,080
Speaker 1: They were not allowing them to show up for votes

1784
01:53:17,680 --> 01:53:22,560
Speaker 1: when they were going to vote with Republicans. A representative

1785
01:53:22,600 --> 01:53:24,920
Speaker 1: by the name of Nate Gustafson or a Republican. He

1786
01:53:25,280 --> 01:53:28,760
Speaker 1: actually asked a Republican repchet sortwell, it's on the floor

1787
01:53:28,760 --> 01:53:33,639
Speaker 1: of the Assembly, and he says, okay, I saw Joe Shean,

1788
01:53:33,960 --> 01:53:37,200
Speaker 1: the Democrat from Sheboygan. He was walking the other way,

1789
01:53:37,560 --> 01:53:39,640
Speaker 1: and when we were supposed to be voting, and I

1790
01:53:39,680 --> 01:53:41,040
Speaker 1: said to him, Hey, what are you doing? He just

1791
01:53:41,120 --> 01:53:43,160
Speaker 1: kind of laughed and walked back towards his office. And

1792
01:53:43,200 --> 01:53:45,120
Speaker 1: then I realized, Hey, we were voting on a bill

1793
01:53:45,160 --> 01:53:50,120
Speaker 1: that he supported. Clearly, Neubauer, the Assembly minority leader, did

1794
01:53:50,120 --> 01:53:53,200
Speaker 1: not want this guy voting with Republicans, so she sent

1795
01:53:53,320 --> 01:53:55,760
Speaker 1: him off the floor. And we know this has been

1796
01:53:55,840 --> 01:54:01,519
Speaker 1: happening well after. Democrats just absolutely freaked out and dared

1797
01:54:01,680 --> 01:54:05,240
Speaker 1: and said, oh, how dare you impune our honor? Gustafson

1798
01:54:05,360 --> 01:54:10,599
Speaker 1: rises and asks, hey, Representative ORTIZVILLEZ. Have Democrats ever has

1799
01:54:10,680 --> 01:54:13,640
Speaker 1: leadership ever barred you from the floor of the Assembly.

1800
01:54:13,880 --> 01:54:14,599
Speaker 2: She said yes.

1801
01:54:15,360 --> 01:54:21,320
Speaker 1: Literally days later, she's criminally charged over something that happened

1802
01:54:21,360 --> 01:54:28,000
Speaker 1: last August. Come on, come on. The timing there is

1803
01:54:28,160 --> 01:54:36,040
Speaker 1: just a little too coincidental. This just smacks a political payback.

1804
01:54:36,120 --> 01:54:40,440
Speaker 1: And frankly, both the Capitol Police referring this for criminal

1805
01:54:40,600 --> 01:54:44,440
Speaker 1: charges and the Milwaukee County District Attorney's office actually filing

1806
01:54:44,440 --> 01:54:48,320
Speaker 1: criminal charges, this smacks of corruption in the extreme. You

1807
01:54:48,400 --> 01:54:50,919
Speaker 1: better believe we're gonna be talking about this more tomorrow.

1808
01:54:51,040 --> 01:54:53,120
Speaker 1: Have a great evening, Wisconsin. This has been The Dan

1809
01:54:53,160 --> 01:54:53,960
Speaker 1: O'Donnell show.