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Speaker 1: Welcome to the Christmas season here on the Dan O'Donnell's show.

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Speaker 1: Hope everybody had a blessed, safe and very happy Thanksgiving.

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Speaker 1: Everyone is all shoveled out over the snowy last couple

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Speaker 1: of days of our vacation, and everybody is ready to

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Speaker 1: rock and roll for another busy broadcast week. We have

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Speaker 1: got three hours of unfiltered, unadulterated broadcast excellence for you today,

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Speaker 1: or at the very least, and let's face it, far

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Speaker 1: more likely broadcast competence. Coming up. In twenty minutes, we

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Speaker 1: will talk with conservative Wisconsin Supreme Court candidate Marial Bizarre

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Speaker 1: after the left wing Wisconsin Supreme Court put together two

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Speaker 1: reliably left wing partisan judicial panels with the express goal

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Speaker 1: of overturning Wisconsin's duly drawn congressional maps and jerrymandering them

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Speaker 1: in favor of Democrats to make it impossible for either

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Speaker 1: Congressman Derek Van Ordon, a Republican in western Wisconsin, or

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Speaker 1: Congressman Brian's Style, a Republican in southern Wisconsin, to win reelection. Also,

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Speaker 1: Politico out with a big article over the Thanksgiving weekend,

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Speaker 1: why is it so difficult for Republicans to win Supreme

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Speaker 1: Court elections. They are nonpartisan races, of course, but come on,

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Speaker 1: the left is known for years that these are the

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Speaker 1: most partisan things in the world. After all, Janet protus

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Speaker 1: Seiwitz two years ago spent the entire campaign telling voters

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Speaker 1: exactly how she is going to rule on various issues.

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Speaker 1: Is it time for conservatives to start playing the exact

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Speaker 1: same game. We will ask Judge Lazar exactly that. Of course.

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Speaker 1: Coming up at the end of this hour, the unhinged

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Speaker 1: liberal of the day. Today's unhinged liberal thinks Republicans would

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Speaker 1: do unspeakable things to the baby Jesus. This, ladies and gentlemen,

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Speaker 1: is who the modern left is. Daily Trump date coming

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Speaker 1: up as President Trump set to sign a law. Also

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Speaker 1: the administration defending itself. Democrats, after a week of saying

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Speaker 1: that military members need to violate illegal orders but being

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Speaker 1: unable to identify any illegal orders, now think they've got

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Speaker 1: an illegal order. We will get into that. Plus the

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Speaker 1: fallout from the breaking news that we were covering before

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Speaker 1: we went on Thanksgiving break. Two National Guard soldiers shot,

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Speaker 1: one unfortunately did pass away on Thanksgiving Day after a

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Speaker 1: Biden assilee from Afghanistan who was not properly vetted. The

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Speaker 1: administration back then told us, oh, yes, all of the

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Speaker 1: thirty forty to fifty sixty seventy eighty thousand Afghan assilies

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Speaker 1: or refugees were properly vetted. Well, this one was not.

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Speaker 1: And now a National Guard soldier is dead, and another

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Speaker 1: one is recovering from very very critical injuries after being

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Speaker 1: shot while on patrol in Washington, DC. And now we

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Speaker 1: have organized opposition to data centers. Coming up in the

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Speaker 1: five o'clock hour, we will once again try to inject

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Speaker 1: some reason and logic into what has become an incredibly

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Speaker 1: emotional debate over whether Wisconsin should have any data centers

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Speaker 1: at all. In it all right, if you want to

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Speaker 1: join The Dan o'donald Show at any point on today's program,

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Speaker 1: four one four seven, nine, nine eleven thirty is our

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Speaker 1: adventno is dot com talk and text line reach is

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Speaker 1: toll free one eight hundred eight three eight nine four

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Speaker 1: seven six email me directly d od at iHeartMedia dot

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Speaker 1: com and a reminder, DoD at iHeartMedia dot com is

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Speaker 1: the only way that you can submit your kids or

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Speaker 1: your grandkids entries for the dano'donald Show. Family Chrismas Special.

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Speaker 1: We got a ton of them over Thanksgiving weekend. The

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Speaker 1: deadline is a week from Friday. We cannot take any

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Speaker 1: entries after December twelfth, and we are only going to

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Speaker 1: be able to guarantee that the first fifty entries are

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Speaker 1: going to make the show, just because we always get

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Speaker 1: a ton of them and I need to make sure

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Speaker 1: that we are able to accommodate everybody, and we're trying

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Speaker 1: to get as many kids in as humanly possible, but

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Speaker 1: we can only guarantee first fifty submissions are going to

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Speaker 1: make the program. So do not delay record your kids

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Speaker 1: playing a Christmas song on their musical instruments, singing a

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Speaker 1: Christmas carol. If you are the conductor of a school

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Speaker 1: or church, orchestra or band, or a choir, chorus, that

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Speaker 1: sort of thing, send me your entries. Please try to

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Speaker 1: keep them to two minutes or less. They can be

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Speaker 1: video or audio. Please include the child or children's name, ages,

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Speaker 1: and hometown. We are probably not going to do any

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Speaker 1: last names for sadly obvious reasons, because we don't want

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Speaker 1: to invite anybody whatever. I don't even want to go there,

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Speaker 1: but we just for legal reasons. We don't use unless

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Speaker 1: we absolutely have to or there's a reason to use

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Speaker 1: the kids last name, So please understand they're not gonna

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Speaker 1: be on video. It's audio only. You can submit in

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Speaker 1: total confidence. This is our sixth year doing this, fifth

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Speaker 1: year that we have invited members of our listener family

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Speaker 1: to join my family. Yes, the kids, even though they're

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Speaker 1: a bit older, they are, much to their chagrins, still

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Speaker 1: going to be forced to play their violins. My nieces,

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Speaker 1: my nephew, they're going to be playing the piano. It

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Speaker 1: is going to be a great show at premieres December

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Speaker 1: twenty third at four pm, and then we'll then play

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Speaker 1: Christmas Eve and Christmas Day. All right, be sure to

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Speaker 1: follow the Dan O'Donnell's show on x on Facebook, on Instagram,

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Speaker 1: streaming live on YouTube, and of course we do exist

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Speaker 1: as a daily podcast. Follow us, like us, thumbs up us,

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Speaker 1: give us a big old heart or poop emoji if

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Speaker 1: you feel so inclined, on iHeartRadio or wherever you listen

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Speaker 1: to podcasts. Big article in Politico the next Big Battleground test,

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Speaker 1: a Wisconsin race that has tortured Republicans. Republicans are looking

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Speaker 1: to recover after bruising electoral losses in November are sharply

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Speaker 1: divided over one of the next big electoral tests, a

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Speaker 1: statewide judicial race in battleground Wisconsin, and some Republicans in

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Speaker 1: the state are already at odds over how to try

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Speaker 1: to reverse a big losing streak, embrace the Republican Party

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Speaker 1: brand Trump and all, or try to separate as much

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Speaker 1: as possible from a partisan label in a throwback bid

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Speaker 1: to less contentious judicial contests. Gone are the days of

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Speaker 1: conservative candidates successfully selling electorates on vague notions of jurisprudence

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Speaker 1: and the rule of law. This dissonance comes as Republicans

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Speaker 1: contend with the built in disadvantages that these days the

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Speaker 1: companies spring elections they're facing voters who have leaned significantly

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Speaker 1: to the left in recent years. Despite razor thin margins

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Speaker 1: in November elections and a win for Trump by less

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Speaker 1: than a point in twenty twenty four in Democrats, they

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Speaker 1: say have excelled at drawing their base to the polls.

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Speaker 1: So that was just kind of a brief synopsis of

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Speaker 1: a lengthy article that quotes a number of different people

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Speaker 1: in and around the Republican Party. It includes a quote

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Speaker 1: from Lazarre herself her campaign spokesperson, and the basic conceit

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Speaker 1: is that everybody is at odds as to how conservatives

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Speaker 1: can reverse the losing streak that has vexed them since

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Speaker 1: alleged conservative Brian hager Dorn won what eventually became obvious

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Speaker 1: to be a faric victory in twenty nineteen. That was

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Speaker 1: the last time even a half conservative or I would

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Speaker 1: consider Hagadorn to be maybe a forty percent conservative, won

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Speaker 1: a judicial race statewide in Wisconsin. In twenty twenty, during

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Speaker 1: the infamous COVID election, Dan Kelly, the incumbent, who was

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Speaker 1: appointed by then governor former Governor Scott Walker and was

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Speaker 1: running for a full ten year term on the court,

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Speaker 1: got absolutely trounced by now Chief Justice Joe Kurowski. Three

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Speaker 1: years later, Janet protest Seiwitz beat Kelly again, this time

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Speaker 1: by an even bigger margin. Okay, conservative's reason. Kelly himself

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Speaker 1: was the problem. He refused to make the twenty twenty

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Speaker 1: three election political. In fact, I can remember him sitting

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Speaker 1: in this very studio and me begging him, Justice Kelly,

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Speaker 1: you need to talk about the issues that Republican voters

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Speaker 1: and conservative voters care about. And will bring them out

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Speaker 1: to the polls. He refused, saying, I'm not going to

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Speaker 1: degrade the judicial profession, the legal profession by violating the

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Speaker 1: Code of Judicial Conduct and talking about how I would

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Speaker 1: rule on a given case. I didn't say to do that.

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Speaker 1: Nobody did, even though that was exactly what proto Sewitz

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Speaker 1: was doing. But Kelly lost and finally got political, finally

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Speaker 1: got frankly angry in his concession speech, well after it

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Speaker 1: was too late to actually win the race. Two years later,

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Speaker 1: Republicans and Conservatives figured, okay, well, we'll nominate Brad Schimmel.

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Speaker 1: And Brad is universally well respected, so respected that the

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Speaker 1: Trump administration just named him to be interim US Attorney

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Speaker 1: for the Eastern District of Wisconsin last week. He was

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Speaker 1: a county judge, he was state attorney. Generally, he was

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Speaker 1: Waukeshall County District Attorney. His resume was excellent. He was

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Speaker 1: universally beloved in the party. He was political without being

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Speaker 1: in your face about it. He lost by an even

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Speaker 1: bigger margin than Dan Kelly did to New Justice Susan Crawford.

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Speaker 1: Now that race was unique because of the presence of

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Speaker 1: Elon Musk Democrats just abandoned all pretense of running against

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Speaker 1: Brad Schimmel. They ran against Musk. They nationalized the race by,

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Speaker 1: ironically enough, saying that Elon Musk was trying to buy

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Speaker 1: the seat when they were getting multi million dollar donations

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Speaker 1: from the governor of Illinois as well as George Soros,

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Speaker 1: as well as Reid Hoff, the billionaire founder and Epstein

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Speaker 1: Island vacationer, playboy founder of LinkedIn. So that race you

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Speaker 1: might be able to write off as unique in its

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Speaker 1: circumstances if it didn't come amid what I have been

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Speaker 1: talking about for a long time, massive demographic changes that

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Speaker 1: have crushed conservatives here in Wisconsin. The biggest reason that

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Speaker 1: Republicans are not winning and Conservatives are not winning in

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Speaker 1: spring elections is because we no longer have the high

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Speaker 1: propensity voters who are going to turn out for every

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Speaker 1: single election no matter who is on the ballot. Years ago,

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Speaker 1: Democrats had this exact same problem. They would win Wisconsin

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Speaker 1: relatively easily in every president election year until twenty sixteen.

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Speaker 1: The last Republican to win Wisconsin in a presidential race

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Speaker 1: was Ronald Reagan in nineteen eighty four, when he won

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Speaker 1: forty nine of fifty states, but Republicans and conservative candidates

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Speaker 1: would dominate Supreme Court races. Why because their coalition of

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Speaker 1: voters looked much different they had, especially after nine to eleven,

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Speaker 1: these so called national defense moms or soccer moms, security moms,

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Speaker 1: if you will. When Trump came to power, he alienated

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Speaker 1: a whole lot of those women, who were further pushed

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Speaker 1: to the left by the Supreme Court's decision in Jackson

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Speaker 1: Women's Health, which overturned Roe v. Wade. Democrats were able

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Speaker 1: to convince them that Republicans want to take control over

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Speaker 1: women's bodies. Those two things cost Republicans the high propensities

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Speaker 1: a bourbon woman vote, and we have had to, as

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Speaker 1: a result, cobble together a coalition of rural and minority

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Speaker 1: inner city voters to replace them here in the state

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Speaker 1: that are much less reliable when the President himself is

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Speaker 1: not on the ballot. You also have a massive problem

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Speaker 1: of what is known as the only Trump voter who

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Speaker 1: is not a Republican, not an ideological conservative, but rather

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Speaker 1: more of a pure populist who likes President Trump, likes

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Speaker 1: the fact that he was the outsider candidate, even when

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Speaker 1: he was running as an incumbent president in twenty twenty

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Speaker 1: and former president in twenty twenty four. They like the

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Speaker 1: fact that he was essentially running against the political system

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Speaker 1: that they despise. The problem is now trying to run

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Speaker 1: candidates within that system who will also be able to

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Speaker 1: appeal to those voters. It has become incredibly difficult. So

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Speaker 1: how exactly is Judge Lazare going to do that? We'll

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Speaker 1: ask her. Judge Marial Lazarre, Conservative Supreme Court candidate joins

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Speaker 1: me next right here, Merry Christmas from all of us

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Speaker 1: here at the Dan O'Donnell Show on this the first

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Speaker 1: day of advent. I can tell you what conservatives Christmas

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Speaker 1: wish is this year, and that is obviously a win

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Speaker 1: in the gubernatorial race, attorney general race, and a hold

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Speaker 1: in the Wisconsin Legislature during the midterm elections next November.

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Speaker 1: But before that, we have perhaps an even more important race.

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Speaker 1: I've been talking about the importance of the Wisconsin Supreme

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Speaker 1: Court for as long as I have been on the

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Speaker 1: air here, and it's apparently fallen on deaf ears because Conservatives,

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Speaker 1: as noted in a big article in Politico over the

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Speaker 1: Thanksgiving holiday weekend, have been unable to win these races.

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Speaker 1: Why is that? And can conservative candidate Marializarre reverse that streak?

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Speaker 1: I thought, let's ask her herself on the phone. Right

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Speaker 1: now here on the Dan O'Donnell show is a Pelic

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Speaker 1: Court judge and Supreme Court candidate Marial Lizar Maria, can

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Speaker 1: you win?

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Speaker 2: Absolutely? And in fact, Dan, I intend to.

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Speaker 1: Well, I love that confidence, but can we really trust

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Speaker 1: somebody who couldn't even get her stove to work on Thanksgiving?

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Speaker 2: That I blame on my stove? And actually we growed

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Speaker 2: like the programs did with Fley and Scout, So.

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Speaker 1: You literally didn't have a stove on Thanksgiving. You just

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Speaker 1: went outside and and went over an open fire.

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Speaker 2: Well, actually that's sort of my candidacy. I'm gonna do

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Speaker 2: things a different way. And actually used are grill not

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Speaker 2: open fire?

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Speaker 1: Oh okay, okay, that's you know what. I think that's

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Speaker 1: gonna make a great story one day, so too will

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Speaker 1: be the incredible upset win that you have over Chris Taylor.

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Speaker 1: I mean, I know you're listening to the pundits. I

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Speaker 1: know you are reading the articles in Politico and that

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Speaker 1: sort of thing. And I hate what I call the

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Speaker 1: ears in the conservative movement. Who are just constantly doom

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Speaker 1: and oh, well, we're gonna lose again. But the reality

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Speaker 1: is you are considered something of a pretty big underdog

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Speaker 1: in this race. How do you confront that conception and

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Speaker 1: get conservatives energized about your candidacy and about Supreme Court

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Speaker 1: elections more general.

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Speaker 2: Well, first of all, as being the other dogs, I

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Speaker 2: am absolutely my entire career used to being underestimated by

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Speaker 2: maybe the other men, the other lawyers in the room.

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Speaker 2: They don't expect someone who talks softly, who knows what

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Speaker 2: they're doing, to win and beat them.

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Speaker 3: But I do.

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Speaker 2: So in this race, it's going to be the same thing.

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Speaker 2: I'm entirely one hundred percent optimistic. We have an entirely

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Speaker 2: different ballgame. It is completely different. I've listened to well,

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Speaker 2: I've read the political article. First of all, did you

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Speaker 2: expect anything but doom and gloom from them? So in

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Speaker 2: this case, I've also listened to the voters in the

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Speaker 2: state of Wisconsin, and I've made a promise that I'm

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Speaker 2: not going to bash my prior candidates who candidates you run,

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Speaker 2: But I'm telling you that the market pole and all

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Speaker 2: the voters have told me they want to hear where

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Speaker 2: we stand. Now, that does mean they want to hear

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Speaker 2: the unethical. Hey vote for me, and I'm going to

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Speaker 2: reverse this or reverse that.

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Speaker 1: We call that the we call that the protoceiwits. That's

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Speaker 1: a very slick move. You just sort of violate every

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Speaker 1: existing code of judicial conduct and say exactly how you're

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Speaker 1: going to rule, and apparently the Judicial Board will allow

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Speaker 1: you to do it. So you could pull a Protecewitz

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Speaker 1: if you wanted.

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Speaker 2: Well, and I'm not going to call it that, but

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Speaker 2: I am going to say that I don't have to

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Speaker 2: do that, and I'm not going to do that. In fact,

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Speaker 2: I'm going to stand up and do what I think

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Speaker 2: judicial candidates should have been doing in this state, which

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Speaker 2: is tell you where I stand and what I stand

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Speaker 2: up for and what rights I've protected, and where my

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Speaker 2: position is on all of them. So my campaign and

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Speaker 2: I actually I have started writing posts and position papers

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Speaker 2: on different issues that have come up. We wrote the

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Speaker 2: first one incidentally or serendipitously on redistricting, but expect to

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Speaker 2: see religious freedom, abortion, I'm going to hit that Second Amendment, messorship,

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Speaker 2: et cetera. So it's just as important I think our

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Speaker 2: past candidates have tied their hands behind their back and

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Speaker 2: have not said where they stand and have used this

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Speaker 2: sort of glorified I don't have to do that. I'm

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Speaker 2: a judge. I'm not doing that. I don't intend to

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Speaker 2: do that. I've never done that. And I'm going to

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Speaker 2: tell people where and what I stand for, and in fact,

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Speaker 2: I actually go around the state now. And that's the

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Speaker 2: first thing, is I Well, the second thing I tell them.

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Speaker 2: The first thing I say is I'm going to change things.

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Speaker 2: It's going to be very different. And the first is

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Speaker 2: that I'm going to win. The second is I'm going

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Speaker 2: to tell you where I stand. And the third is

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Speaker 2: I'm going to explain to you precisely why this campaign

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Speaker 2: is different.

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Speaker 1: How is it different?

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Speaker 2: Campaign is different because I am going to every single group.

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Speaker 2: I'm talking to them. I'm not giving up on anyone.

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Speaker 2: I know that sounds cliche, but I'm also talking to

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Speaker 2: groups that didn't exist a few years ago, turning points.

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Speaker 2: I'm working with them. I'm working with the young Republicans,

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Speaker 2: college Republicans, I'm working with or I'm talking to Republican

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Speaker 2: and conservative moms who've given up on the parties but

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Speaker 2: are more than eager to listen to a woman who

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Speaker 2: stands up and can say things on issue that everyone

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Speaker 2: runs away from, like abortion. I'm talking to different areas

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Speaker 2: of this state. I am not a candidate who is

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Speaker 2: out there saying that I'm running as a politician. I'm not.

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Speaker 2: I'm also running against a politician, and one that I

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Speaker 2: think every single voter in the state of Wisconsin is

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Speaker 2: tired of being lectured to by four nanny judges who

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Speaker 2: are sitting on the state Supreme Court, who get all

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Speaker 2: the money that they can get from all these little

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Speaker 2: groups outside of the state of Wisconsin to tell everyone

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Speaker 2: here that they know better than all of us.

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Speaker 1: And the biggest thing that they have done pretty much

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Speaker 1: all year, which could actually have national implications, is last week,

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Speaker 1: of course, on a shortened holiday week, they announced that

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Speaker 1: they themselves are not going to review the congressional maps

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Speaker 1: that were given a clean bill of health by the

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Speaker 1: United States Supreme Court as well as the Wisconsin Supreme Court,

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Speaker 1: but they appointed two separate panels of radical left wing

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Speaker 1: Democrat appointed affiliated judges to review the congressional maps with

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Speaker 1: the obvious purpose of jerry mandering them in favor of Democrats. Now,

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Speaker 1: this is rather obviously going to give a huge boost

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Speaker 1: to your opponent in fundraising. In fact, the last liberal candidate,

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Speaker 1: one of the four justices signed on to this opinion,

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Speaker 1: Susan Crawford, actually attended an event which was explicitly designed

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Speaker 1: for donors to quote put two seats in Congress in play.

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Speaker 1: This is precisely what they were telling you during the

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Speaker 1: last campaign they were going to do judge lists. Are

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Speaker 1: your reaction, since your first policy paper is going to

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Speaker 1: be on redistricting, your reaction to what the Supreme Court

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Speaker 1: did last week?

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Speaker 2: Well, first of all, I republished the piece on redistricting.

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Speaker 2: It's been out there for about two or three weeks.

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Speaker 2: But my reaction is, well, one, I'm not surprised. This

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Speaker 2: Court has acted like a star chamber. They put their

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Speaker 2: position out again and put their order out. I should

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Speaker 2: say again, right before a holiday. They did it last

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Speaker 2: time before Christmas. Yepport that I was on upfront. I

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Speaker 2: talked to people about my positions, followed the next week

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Speaker 2: by Chief Justice Kurowski, who told everyone in the state

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Speaker 2: the quiet part out loud. She said that this Supreme

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Speaker 2: Court is going to act now like they have a mandate,

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Speaker 2: which is a political term, not a judicial term and

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Speaker 2: that they don't want to carry the water anymore for

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Speaker 2: right wing special interest groups. So that's what they're doing.

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Speaker 2: They've decided that they picked these six judges. Two of

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Speaker 2: them have endorsed Chris Taylor, my opponents. They selected them

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Speaker 2: in secret. The other justices had no idea how they

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Speaker 2: did it. They're putting them together to overrule a state

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Speaker 2: supreme court. Now, I know sometimes people get a little

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Speaker 2: bit concerned when you talk about legal issues, but here's

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Speaker 2: a really easy one. So you have state circuit courts

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Speaker 2: who have their superior court being the Court of Appeals,

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Speaker 2: which I'm on, and then the Court of Appeals has

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Speaker 2: a superior court as to the circuit courts. The Supreme Court.

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Speaker 2: As a Court of Appeals judge, I cannot overturn the

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Speaker 2: Supreme Court as a circuit court, I cannot. You cannot

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Speaker 2: overturn the Court of Appeals or Supreme Court judge. So

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Speaker 2: because I think you said, Dan that the Supreme Court

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Speaker 2: is tired of getting smacked down, I don't think you

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Speaker 2: use those words by the US Supreme Court. So now

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Speaker 2: they're throwing it down to six two panels three on

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Speaker 2: the circuit court. So they can do this they can act,

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Speaker 2: and they can overturn the State Supreme Court, which is

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Speaker 2: already approved maps drawn by Tony Evers and been upheld

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Speaker 2: by the US Supreme Court. It is, as Chief just

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Speaker 2: as former Chief Justice Niggler said, a charade. If these

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Speaker 2: our Shanagan Shenanigan, this is judicial activism at its worst. Now,

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Speaker 2: if Chris Taylor, my opponent, gets up there, she's not

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Speaker 2: only going to do the same thing, she'll do even

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Speaker 2: more because she is a hardcourt politician.

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Speaker 1: Not only that, she's a radical left wing politician who

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Speaker 1: is core instinct are to simply rule on things that

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Speaker 1: the Democratic Party wants ruled on. Would it surprise you,

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Speaker 1: judgeless are to see this court overturn Act ten before

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Speaker 1: the election, because that case has been pending before them

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Speaker 1: for boy the better part of a year. Now, do

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Speaker 1: you believe that they are likely to overturn Act ten

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Speaker 1: and thus the billions of dollars in annual savings to taxpayers?

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Speaker 2: Well, I can answer that in two parts. One, they

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Speaker 2: will not issue an opinion in my view, on Act

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Speaker 2: ten or any other politically interested case before this election.

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Speaker 1: I think you're right.

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Speaker 2: As to what they're going to do on Act ten.

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Speaker 2: I have no idea. I mean, I don't know. I

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Speaker 2: listened to their oral argument on that four hundred year

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Speaker 2: tax increased by Tony Ebers francistein Vido, and I will

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Speaker 2: tell you, Dan, I listened to their oral argument. I

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Speaker 2: thought there was no way, even the four majority, we're

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Speaker 2: going to uphol that, and they did, yeah, yeah, Well,

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Speaker 2: I don't know what they'll do with that ten. I

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Speaker 2: think it's it's a reason why everyone in the States

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Speaker 2: should be very very concerned and they should be looking

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Speaker 2: not at well, how can we And I don't want

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Speaker 2: to say this the wrong way, but they've got the

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Speaker 2: majority to do what they want to do with that ten.

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Speaker 2: Even when I win this election in April, it's not

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Speaker 2: going to change.

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Speaker 1: No, no, but that your election is still important because

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Speaker 1: if they get a five to two majority, we're talking

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Speaker 1: about the next quarter century of acidine rulings like the

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Speaker 1: four hundred year veto, like redistricting after the Wisconsin Supreme

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Speaker 1: Court is already signed off on the state legislative maps,

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Speaker 1: but because we have a new court, all of a sudden,

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Speaker 1: we're just going to do it again like they're trying

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Speaker 1: to do right now with the congressional maps. I mean,

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Speaker 1: you're going to see that literally for the next two

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Speaker 1: to three decades potentially if they get a five to

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Speaker 1: two majority.

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Speaker 2: I agree. And the funny thing is, I could sit

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Speaker 2: here and I could tell you some cases where I

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Speaker 2: think they would jump in and do the same thing.

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Speaker 2: But for Heaven's sakes, I'm not giving them any ideas whatsoever.

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Speaker 1: Yeah, that's probably smart.

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Speaker 4: Now.

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Speaker 1: The one good thing that we do have as conservatives

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Speaker 1: in the state right now is this court is exceptionally lazy.

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Speaker 1: They take up very very few cases compared to prior courts,

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Speaker 1: but the ones that they take up are specifically designed

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Speaker 1: to radically change the state in a way that the

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Speaker 1: other two branches of government could not or would not.

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Speaker 1: Judge Lazarre, I've got to tell you, I was very

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Speaker 1: critical of your campaign in its early stages because it

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Speaker 1: sounded like you were not going to take on these issues.

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Speaker 1: May I say, I like the new no Turkey dinner

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Speaker 1: on Thanksgiving? Mariel Azre. I don't know if it was

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Speaker 1: the stove going out that turned you into Based marill Azar,

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Speaker 1: but I am loving Based Marializar.

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Speaker 2: I will take that it wasn't that if you've gone

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Speaker 2: out on the campaign trail with me. You will shar

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Speaker 2: me telling every group except for one time when I

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Speaker 2: made a mistake and didn't tell what I was going

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Speaker 2: to how I was going to stand on positions. But

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Speaker 2: I'm telling everyone what I stand on and what I

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Speaker 2: will do what I stand up for as a judge.

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Speaker 1: Hey, thank you for doing that. Keep it going. We'd

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00:28:31,880 --> 00:28:34,560
Speaker 1: love to have you on as often as you want

434
00:28:34,600 --> 00:28:37,160
Speaker 1: to come on and talk about what it is you

435
00:28:37,200 --> 00:28:42,280
Speaker 1: stand for and how you are different from your opponents.

436
00:28:42,520 --> 00:28:45,800
Speaker 1: I really do appreciate it. And by the way, Merry

437
00:28:45,880 --> 00:28:50,720
Speaker 1: Christmas too, happy belated Thanksgiving, and I hope the Christmas

438
00:28:50,760 --> 00:28:53,120
Speaker 1: feast goes better than the Thanksgiving one.

439
00:28:54,000 --> 00:28:55,400
Speaker 3: Well see, but I.

440
00:28:55,280 --> 00:28:57,400
Speaker 2: Think we aren't going to do a big thank Christmas

441
00:28:57,400 --> 00:28:59,600
Speaker 2: feast because I'll probably be out talking.

442
00:28:59,360 --> 00:29:03,000
Speaker 1: To everyone and with all right, she is Maria Lazarre.

443
00:29:03,480 --> 00:29:07,000
Speaker 1: Check out her campaign. I believe it is Judge Lazar

444
00:29:07,240 --> 00:29:11,760
Speaker 1: dot com. Now I'm totally uh second guessing myself on that.

445
00:29:12,240 --> 00:29:16,680
Speaker 1: Just google Marial Aizaar l a z a R. It

446
00:29:16,760 --> 00:29:22,160
Speaker 1: is Judge Maria Lazar dot com. Judge Maria Lazarre dot com.

447
00:29:22,200 --> 00:29:26,560
Speaker 1: You're listening to the Dan o'donald Show. It is conservative thought,

448
00:29:27,000 --> 00:29:29,440
Speaker 1: not just talk, and we will be right back to

449
00:29:29,520 --> 00:29:54,120
Speaker 1: it before you know it. Christmas welcome back. It is

450
00:29:54,200 --> 00:29:59,120
Speaker 1: the Dano donald Show. Yes, all Christmas bumper music from

451
00:29:59,160 --> 00:30:04,200
Speaker 1: now until well the big day December twenty fifth. Of

452
00:30:04,360 --> 00:30:08,000
Speaker 1: all you kids are getting your lists for Santa together

453
00:30:08,120 --> 00:30:12,640
Speaker 1: that you opened up the first door on your advent calendar.

454
00:30:12,680 --> 00:30:16,120
Speaker 1: It is an early Christmas here on the Dan o'donald Show.

455
00:30:16,200 --> 00:30:20,240
Speaker 1: We had to say goodbye, unfortunately to producer Jeff who

456
00:30:20,560 --> 00:30:23,400
Speaker 1: left us, left the company as he said he needed

457
00:30:23,400 --> 00:30:26,080
Speaker 1: to get a real job. But we have the return

458
00:30:26,320 --> 00:30:29,560
Speaker 1: of the first ever producer on the Dan o'donald Show,

459
00:30:29,760 --> 00:30:32,800
Speaker 1: producer Arman, running the ship today and he is going

460
00:30:32,880 --> 00:30:37,200
Speaker 1: to be when producer Eric is unavailable on location for

461
00:30:37,440 --> 00:30:42,520
Speaker 1: Discover Wisconsin or working on one of his other fifteen gigs.

462
00:30:42,520 --> 00:30:45,680
Speaker 1: So it is always great having Arman pushing the right

463
00:30:45,720 --> 00:30:49,520
Speaker 1: buttons here. We also thank Judge Marial Lazar Judgemreal Lazar

464
00:30:49,600 --> 00:30:52,240
Speaker 1: dot com is her website, as she is the conservative

465
00:30:52,280 --> 00:30:59,320
Speaker 1: candidate challenging Chris Taylor, a Planned Parenthood employee and Democrat

466
00:30:59,400 --> 00:31:03,280
Speaker 1: member of the Wisconsin Assembly, as well as now a

467
00:31:03,520 --> 00:31:06,800
Speaker 1: judge who got herself appointed to the Dane County Circuit Court.

468
00:31:06,840 --> 00:31:09,520
Speaker 1: Of course she did what other court would have someone

469
00:31:09,560 --> 00:31:12,840
Speaker 1: that far to the left, and then she ran unopposed

470
00:31:12,920 --> 00:31:19,160
Speaker 1: for Court of Appeals seat, which she currently holds. Tip

471
00:31:19,640 --> 00:31:24,960
Speaker 1: tipp and League of Women Voters poll, League of American

472
00:31:25,040 --> 00:31:27,440
Speaker 1: Workers poll, excuse me? League of Women Voters, League of

473
00:31:27,440 --> 00:31:33,400
Speaker 1: American Workers poll Registered voters released last week. Registered voters

474
00:31:33,400 --> 00:31:37,280
Speaker 1: means there is no follow up question as to whether

475
00:31:37,400 --> 00:31:40,200
Speaker 1: or not you're going to be deemed likely to vote

476
00:31:40,320 --> 00:31:43,640
Speaker 1: in the upcoming gubernatorial election. You're just registered. Do they

477
00:31:43,680 --> 00:31:44,960
Speaker 1: call you? They say, hey, who.

478
00:31:44,920 --> 00:31:45,320
Speaker 5: Do you like?

479
00:31:45,360 --> 00:31:51,320
Speaker 1: In this race, Mendela Barnes is once again doubling up

480
00:31:51,440 --> 00:31:56,520
Speaker 1: the field in the Democratic primary. Now, one thing that

481
00:31:56,840 --> 00:32:00,400
Speaker 1: is notable in this race is that in second place,

482
00:32:00,600 --> 00:32:03,800
Speaker 1: Barnes has twenty one percent, but in second place it's

483
00:32:03,920 --> 00:32:07,680
Speaker 1: Josh Cole with eight percent. Why is that remarkable because

484
00:32:07,760 --> 00:32:10,880
Speaker 1: Josh Cole has already said that he is not going

485
00:32:10,920 --> 00:32:13,160
Speaker 1: to run for governor. Instead, he is going to seek

486
00:32:13,200 --> 00:32:16,600
Speaker 1: a third term as Attorney general. Basically, the first poll

487
00:32:16,960 --> 00:32:21,240
Speaker 1: that was done by Platform Communications very early on this cycle,

488
00:32:21,280 --> 00:32:24,280
Speaker 1: I believe mid September that poll came out maybe late

489
00:32:24,320 --> 00:32:28,680
Speaker 1: September early October. That also showed Barnes with a massive lead,

490
00:32:28,840 --> 00:32:31,320
Speaker 1: and I'm led to believe that it scared Call right

491
00:32:31,360 --> 00:32:35,080
Speaker 1: out of the race. Barnes has not yet declared his candidacy.

492
00:32:35,480 --> 00:32:39,880
Speaker 1: It was widely expected by Democrat sources that he was

493
00:32:39,920 --> 00:32:44,680
Speaker 1: going to before the Thanksgiving holiday. He apparently has decided

494
00:32:45,040 --> 00:32:50,720
Speaker 1: not to or the party has maybe maybe convinced him

495
00:32:50,760 --> 00:32:53,600
Speaker 1: not to run. I think that's very unlikely. But there

496
00:32:53,680 --> 00:32:57,120
Speaker 1: was a full court press when it became obvious that

497
00:32:57,200 --> 00:33:01,640
Speaker 1: Barnes was going to run, not to get him to

498
00:33:01,760 --> 00:33:04,280
Speaker 1: do so because of what a bad candidate he was

499
00:33:04,360 --> 00:33:06,720
Speaker 1: in twenty twenty two, and that was at the peak

500
00:33:06,920 --> 00:33:11,960
Speaker 1: of the woke era, where Mandela barnes brand of racial

501
00:33:11,960 --> 00:33:18,000
Speaker 1: and identity politics was actually far more palatable in Democrat

502
00:33:18,080 --> 00:33:21,440
Speaker 1: circles than it is now. Now there has been such

503
00:33:21,480 --> 00:33:24,400
Speaker 1: a reaction, there has been such a blowback to the

504
00:33:24,480 --> 00:33:28,120
Speaker 1: excesses of the woke era that sort of culminated in

505
00:33:28,160 --> 00:33:32,040
Speaker 1: Trump's reelection in twenty twenty four that Democrats are trying

506
00:33:32,080 --> 00:33:35,600
Speaker 1: to get away from that brand of identitarian politics that

507
00:33:35,680 --> 00:33:39,000
Speaker 1: sort of doomed them in the last presidential election and

508
00:33:39,120 --> 00:33:41,880
Speaker 1: get to more bread and butter economic issues. Now Over

509
00:33:41,960 --> 00:33:46,760
Speaker 1: on the Republican side, Tom Tiffany has seventeen percent of

510
00:33:46,800 --> 00:33:50,680
Speaker 1: the vote to Josh Showman's five percent. But the real

511
00:33:50,760 --> 00:33:53,720
Speaker 1: story here is that the leader in this poll is

512
00:33:53,960 --> 00:33:58,160
Speaker 1: Eric Huvedy, who has not said anything about running for governor.

513
00:33:58,200 --> 00:34:01,080
Speaker 1: He just happened to be the last republic In statewide

514
00:34:01,240 --> 00:34:06,040
Speaker 1: nominee when he ran in twenty twenty four unsuccessfully against

515
00:34:06,280 --> 00:34:10,800
Speaker 1: Tammy Baldwin. Tim Michaels clocks in at twelve percent, Kevin

516
00:34:10,920 --> 00:34:14,560
Speaker 1: Nicholson at two percent. All of these are just past

517
00:34:14,719 --> 00:34:21,240
Speaker 1: statewide candidates. The fact that the top two Democrat names

518
00:34:21,360 --> 00:34:26,000
Speaker 1: in this poll are the last two Democrat statewide candidates

519
00:34:26,040 --> 00:34:29,520
Speaker 1: who don't currently hold an office, like Tammy Baldwin does

520
00:34:30,040 --> 00:34:33,000
Speaker 1: tells me that we are still in the phase of

521
00:34:33,040 --> 00:34:37,600
Speaker 1: this campaign where these candidates are unknown to a massive

522
00:34:37,840 --> 00:34:43,240
Speaker 1: swath of voters. This is a very good thing for Republicans.

523
00:34:44,320 --> 00:34:47,000
Speaker 1: The one candidate who is likely to get in the

524
00:34:47,080 --> 00:34:50,520
Speaker 1: race and is known to pretty much all voters, or

525
00:34:50,560 --> 00:34:54,440
Speaker 1: at least a healthy percentage of voters, is Mandela Barnes.

526
00:34:54,840 --> 00:34:58,920
Speaker 1: He was an unsuccessful candidate, meaning the vast majority of

527
00:34:58,960 --> 00:35:02,640
Speaker 1: those voters who know Oh who man deadbeat is are

528
00:35:02,680 --> 00:35:05,040
Speaker 1: not going to vote for him because they have already

529
00:35:05,080 --> 00:35:08,120
Speaker 1: made up their minds about him. It is very difficult

530
00:35:08,480 --> 00:35:12,200
Speaker 1: to change the perception of you once the public has

531
00:35:12,280 --> 00:35:16,800
Speaker 1: already passed judgment on you in an election. Eric Hovedy,

532
00:35:16,840 --> 00:35:20,000
Speaker 1: Tim Michaels are almost certainly not going to run for

533
00:35:20,040 --> 00:35:24,400
Speaker 1: the gubernatorial nomination. It is very likely to be Tom Tiffany.

534
00:35:24,520 --> 00:35:27,920
Speaker 1: I like Josh Schauman a lot, but look, all of

535
00:35:27,960 --> 00:35:31,959
Speaker 1: the signs are there, the money that's coming in, the endorsements,

536
00:35:32,080 --> 00:35:34,400
Speaker 1: that sort of thing. It is probably going to be

537
00:35:34,480 --> 00:35:39,200
Speaker 1: Tiffany's nomination to lose. The fact that Sarah Rodriguez and

538
00:35:39,360 --> 00:35:42,959
Speaker 1: David Crowley are only able to get six percent each

539
00:35:43,239 --> 00:35:46,759
Speaker 1: in this poll after struggling to get six percent in

540
00:35:46,840 --> 00:35:49,319
Speaker 1: the last poll that was released about a month ago,

541
00:35:49,640 --> 00:35:53,200
Speaker 1: while Barnes is building on his lead because of his

542
00:35:53,320 --> 00:35:58,239
Speaker 1: name recognition. This speaks volumes about where the electorate is

543
00:35:58,280 --> 00:36:01,560
Speaker 1: and I think this is undoubtedly a very good sign

544
00:36:02,160 --> 00:36:06,239
Speaker 1: for Republicans heading into the twenty twenty six gubernatorial race.

545
00:36:06,320 --> 00:36:10,120
Speaker 1: The Unhinged Liberal of the Day a Christmas edition of

546
00:36:10,160 --> 00:36:17,120
Speaker 1: it coming up next. Merry Christmas from all of us

547
00:36:17,160 --> 00:36:20,960
Speaker 1: here at the Dan o'donald Show, It is time now

548
00:36:21,719 --> 00:36:26,840
Speaker 1: today a Christmas themed edition of the Unhinged Liberal of

549
00:36:26,880 --> 00:36:32,080
Speaker 1: this We are Nazi Germany.

550
00:36:34,000 --> 00:36:34,479
Speaker 4: Oh why.

551
00:36:38,719 --> 00:36:40,400
Speaker 1: Is dangerous? Because he's evil.

552
00:36:41,719 --> 00:36:42,399
Speaker 6: America.

553
00:36:45,480 --> 00:36:50,120
Speaker 1: Today's unhinged Liberal of the Day is new Dan o'donald

554
00:36:50,280 --> 00:36:55,960
Speaker 1: Show favorite Jasmine Crockett, Democrat congresswoman, who was on MSNBC

555
00:36:56,200 --> 00:37:01,960
Speaker 1: over Thanksgiving weekend talking about what else ice deportations and

556
00:37:02,080 --> 00:37:06,640
Speaker 1: said she just is concerned about how Republicans would have

557
00:37:06,680 --> 00:37:08,719
Speaker 1: treated little baby Jesus.

558
00:37:08,800 --> 00:37:10,320
Speaker 7: I just want to be clear. This is the party

559
00:37:10,400 --> 00:37:13,120
Speaker 7: that says that you know, they care so much about

560
00:37:13,160 --> 00:37:16,120
Speaker 7: life until life actually shows up at their front door.

561
00:37:17,280 --> 00:37:20,239
Speaker 7: And this is also the party that supposedly is about Christianity.

562
00:37:20,280 --> 00:37:22,040
Speaker 7: And I just imagine what they would have done to

563
00:37:22,080 --> 00:37:24,960
Speaker 7: a little baby Jesus. But that's a whole other issue.

564
00:37:25,800 --> 00:37:33,280
Speaker 1: Wait, what Representative Crockett your party would have aborted baby Jesus.

565
00:37:33,360 --> 00:37:37,680
Speaker 1: Let's not get into a theological discussion here. You're listening

566
00:37:37,920 --> 00:37:41,080
Speaker 1: to The Dan O'Donnell Show, and Jasmine Crockett is your

567
00:37:41,800 --> 00:37:48,000
Speaker 1: unhinged Liberal of the day. When we come back here

568
00:37:48,080 --> 00:37:50,600
Speaker 1: on the program, the Daily Trump Date, we will get

569
00:37:50,640 --> 00:37:53,080
Speaker 1: you caught up on all things going on at the

570
00:37:53,120 --> 00:37:58,080
Speaker 1: White House today. Press Secretary Caroline Levitt is firing back

571
00:37:58,200 --> 00:38:02,719
Speaker 1: at liberal accusations of illegal orders to kill. That's coming

572
00:38:02,800 --> 00:38:08,879
Speaker 1: up next. You're on the Dan o'donald Show. I love

573
00:38:08,920 --> 00:38:11,840
Speaker 1: that song. One of my absolute favorites. It is Owl

574
00:38:12,040 --> 00:38:16,439
Speaker 1: City and Toby Mack, the great Christian artist With Light

575
00:38:16,719 --> 00:38:21,320
Speaker 1: of Christmas. We have a number of different Christmas opens

576
00:38:21,360 --> 00:38:25,120
Speaker 1: that we will be rotating throughout this holiday season. Of course,

577
00:38:25,160 --> 00:38:29,640
Speaker 1: all Christmas bumper music, and in case you are wondering

578
00:38:29,680 --> 00:38:32,080
Speaker 1: what some of those songs are, we do have a

579
00:38:32,239 --> 00:38:38,000
Speaker 1: Dan o'donald Show Christmas bumper music playlist up on Spotify.

580
00:38:38,320 --> 00:38:40,200
Speaker 1: Just check it out on Spotify. Yeah, I know, I know.

581
00:38:40,280 --> 00:38:43,720
Speaker 1: I'd love to do it on iHeartRadio, but for whatever

582
00:38:43,800 --> 00:38:46,959
Speaker 1: reason I cannot get This has been my year's long

583
00:38:47,080 --> 00:38:51,400
Speaker 1: crusade to try to get a free iHeartMedia Premium or

584
00:38:51,400 --> 00:38:54,400
Speaker 1: iHeart Radio Premium account. They will not give it. I

585
00:38:54,760 --> 00:38:58,000
Speaker 1: tried to get it written into my last contract and

586
00:38:58,040 --> 00:39:00,000
Speaker 1: they said it was either that or health and show.

587
00:39:00,360 --> 00:39:02,680
Speaker 1: No I'm kidding. Four one, four seven, nine to nine

588
00:39:02,920 --> 00:39:05,800
Speaker 1: eleven thirty. If you'd like to join The Dan o'donald

589
00:39:05,880 --> 00:39:09,320
Speaker 1: Show at any point on our advent noos dot com

590
00:39:09,360 --> 00:39:11,839
Speaker 1: talk and text line. You can also reach us toll

591
00:39:11,880 --> 00:39:14,200
Speaker 1: free one eight one hundred eight three eight nine four

592
00:39:14,360 --> 00:39:20,160
Speaker 1: seven six Email me anytime DoD at iHeartMedia dot com

593
00:39:20,200 --> 00:39:23,080
Speaker 1: be sure to get those submissions in for the twenty

594
00:39:23,120 --> 00:39:27,440
Speaker 1: twenty five Dan o'donald Show Family Christmas Special. By my count,

595
00:39:27,480 --> 00:39:31,279
Speaker 1: we have already got I want to say twenty some

596
00:39:32,400 --> 00:39:35,040
Speaker 1: and we can only guarantee that the first fifty are

597
00:39:35,120 --> 00:39:38,280
Speaker 1: going to make the show. Yes, we'll likely have way

598
00:39:38,360 --> 00:39:41,080
Speaker 1: more than fifty kids performing, but I just want to

599
00:39:41,120 --> 00:39:43,839
Speaker 1: make sure that we've got enough time. Last year, we

600
00:39:43,960 --> 00:39:46,880
Speaker 1: had so many entries, and I love it, I love it,

601
00:39:46,920 --> 00:39:50,000
Speaker 1: I love it. I love it that we actually had

602
00:39:50,000 --> 00:39:53,800
Speaker 1: to kind of finesse. We had to do different versions

603
00:39:53,840 --> 00:39:57,240
Speaker 1: of the Christmas Special that would air at different times

604
00:39:57,239 --> 00:40:00,160
Speaker 1: on Christmas, even Christmas Day, and I'd really prefer or

605
00:40:00,280 --> 00:40:04,600
Speaker 1: not to do that again. Everybody who submits will make

606
00:40:04,680 --> 00:40:08,719
Speaker 1: the podcast, but for the radio show, because of the

607
00:40:08,760 --> 00:40:12,000
Speaker 1: constraints of time, we are only going to be able

608
00:40:12,080 --> 00:40:17,560
Speaker 1: to limit it to It's usually about sixty to seventy performances.

609
00:40:17,760 --> 00:40:20,600
Speaker 1: So that's why I'm saying only the top faf No,

610
00:40:20,640 --> 00:40:23,880
Speaker 1: I shouldn't say top fifty. I should not say top fifty.

611
00:40:23,920 --> 00:40:27,040
Speaker 1: It is This is not about you don't have to audition.

612
00:40:27,239 --> 00:40:31,960
Speaker 1: There's no skill requirement or anything like that. We want

613
00:40:32,480 --> 00:40:35,799
Speaker 1: the joy of Christmas, that the light of Christmas is

614
00:40:36,120 --> 00:40:40,239
Speaker 1: children sharing their gifts with the world. And this is

615
00:40:40,280 --> 00:40:42,520
Speaker 1: what we want to do here on the Dan O'Donnell's show.

616
00:40:42,640 --> 00:40:46,360
Speaker 1: Whether it's singing a song or even if it's just

617
00:40:46,600 --> 00:40:50,520
Speaker 1: sharing a greeting, we will play those two coming back

618
00:40:50,520 --> 00:40:54,000
Speaker 1: from commercial breaks, like Hi, this is John from woh

619
00:40:54,080 --> 00:40:56,160
Speaker 1: with Tosa. I'm five years old and I just want

620
00:40:56,160 --> 00:40:59,239
Speaker 1: to wish everybody a very merry Christmas. Record your kid

621
00:40:59,320 --> 00:41:03,000
Speaker 1: doing that part of the show. Send all those entries

622
00:41:03,040 --> 00:41:08,080
Speaker 1: to d D at iHeartMedia dot com, and I'll tell

623
00:41:08,120 --> 00:41:11,799
Speaker 1: you what, folks, it makes my Christmas every single year

624
00:41:12,360 --> 00:41:15,919
Speaker 1: to hear your kids perform. I get so excited. Yes,

625
00:41:16,480 --> 00:41:21,000
Speaker 1: I get super stressed out putting the show together because

626
00:41:21,560 --> 00:41:26,160
Speaker 1: I stupidly try to do it all myself. But it's like,

627
00:41:26,320 --> 00:41:28,759
Speaker 1: I mean, imagine, imagine all of the stresses of the

628
00:41:28,800 --> 00:41:32,560
Speaker 1: holidays that you have, wrapping, presence, buying everything and all that,

629
00:41:32,680 --> 00:41:35,320
Speaker 1: and then add to that putting on a radio show

630
00:41:36,360 --> 00:41:40,120
Speaker 1: that needs a whole ton of editing and coordinating, you know,

631
00:41:40,200 --> 00:41:44,080
Speaker 1: one hundred different musical performances, but it is a labor

632
00:41:44,120 --> 00:41:47,920
Speaker 1: of love. And what gets me in the Christmas spirit truly, truly,

633
00:41:48,120 --> 00:41:52,719
Speaker 1: every single year is listening to your kids and grandkids

634
00:41:52,800 --> 00:41:57,440
Speaker 1: watching the videos. You know, the little smile after they

635
00:41:57,440 --> 00:42:00,239
Speaker 1: get done performing, and almost every kid does it is

636
00:42:00,280 --> 00:42:02,560
Speaker 1: the most beautiful thing in the world. They'll give a

637
00:42:02,600 --> 00:42:06,880
Speaker 1: little smile like was that good? And I'm just like, ah, yeah, buddy,

638
00:42:06,920 --> 00:42:09,680
Speaker 1: that was awesome. I love it. I love it. There

639
00:42:09,760 --> 00:42:14,040
Speaker 1: is nothing like, truly, nothing like kids at Christmas time.

640
00:42:14,040 --> 00:42:17,600
Speaker 1: Producer Arman, you have a daughter who is what two

641
00:42:17,640 --> 00:42:22,040
Speaker 1: years old now? Hey, Dan, she's seventeen months next week?

642
00:42:22,400 --> 00:42:27,440
Speaker 1: Seventeen Yeah, the time is flying. Oh my goodness, seventeen

643
00:42:27,480 --> 00:42:30,840
Speaker 1: months now. So she's still too young to like really

644
00:42:30,880 --> 00:42:33,440
Speaker 1: know who Santa is, right, I mean, you could explain

645
00:42:33,520 --> 00:42:37,080
Speaker 1: it to her, but she can she say Santa. Yeah,

646
00:42:37,120 --> 00:42:37,799
Speaker 1: She can't say yeah.

647
00:42:37,800 --> 00:42:39,520
Speaker 4: I think she's starting to understand that this guy in

648
00:42:39,560 --> 00:42:42,040
Speaker 4: the red suit's important for some reason or another one.

649
00:42:42,080 --> 00:42:44,600
Speaker 4: He's like plastered over the house in one way for

650
00:42:44,640 --> 00:42:45,200
Speaker 4: him or another.

651
00:42:45,520 --> 00:42:45,960
Speaker 1: I love it.

652
00:42:46,000 --> 00:42:48,280
Speaker 4: She's very curious about the chimneys. So maybe that's why

653
00:42:48,400 --> 00:42:50,319
Speaker 4: I think. You know what I bet you it is.

654
00:42:50,440 --> 00:42:54,120
Speaker 4: It's been telling you little kids they understand way more

655
00:42:54,800 --> 00:42:57,319
Speaker 4: than we give them credit for. So I want as

656
00:42:57,360 --> 00:42:59,319
Speaker 4: soon as she is able to talk, as soon as

657
00:42:59,320 --> 00:43:02,120
Speaker 4: she is able to sing, I want her performing on

658
00:43:02,160 --> 00:43:05,920
Speaker 4: The Dan o'donald Show Family Christmas Special Reminder. Follow us

659
00:43:05,920 --> 00:43:09,160
Speaker 4: on social media at Dan o'donald Show on X on Facebook,

660
00:43:09,239 --> 00:43:13,480
Speaker 4: on Instagram, follow us on YouTube, and the Dan o'donald

661
00:43:13,560 --> 00:43:15,680
Speaker 4: Show podcast on iHeartRadio or.

662
00:43:16,120 --> 00:43:18,919
Speaker 1: Wherever it is you listen to podcasts.

663
00:43:19,680 --> 00:43:22,480
Speaker 4: We're gonna win so much you may even get tired

664
00:43:22,520 --> 00:43:22,960
Speaker 4: of winning.

665
00:43:23,320 --> 00:43:26,120
Speaker 1: Just keeps waiting. It is a win for the administration.

666
00:43:26,320 --> 00:43:29,440
Speaker 8: It's also a big win for the United States.

667
00:43:29,480 --> 00:43:30,600
Speaker 1: We have to keep winning.

668
00:43:30,840 --> 00:43:32,040
Speaker 8: We have to win more.

669
00:43:32,400 --> 00:43:36,080
Speaker 1: We're gonna win more. Time out for your daily Trump date.

670
00:43:36,719 --> 00:43:39,560
Speaker 1: Look at all of the things going on in Donald

671
00:43:39,600 --> 00:43:43,960
Speaker 1: Trump's Washington White House press briefing today. Press Secretary Caroline

672
00:43:44,280 --> 00:43:49,400
Speaker 1: Levitt placing the blame for the shooting of two National

673
00:43:49,480 --> 00:43:52,799
Speaker 1: Guard soldiers, one of whom passed away a twenty year

674
00:43:52,800 --> 00:43:57,160
Speaker 1: old woman, both from West Virginia, the day before Thanksgiving

675
00:43:57,239 --> 00:44:00,880
Speaker 1: last week. She's placing the blame squarely on the shoulders

676
00:44:00,920 --> 00:44:05,200
Speaker 1: of the Biden administration because this was a clearly unvetted

677
00:44:05,440 --> 00:44:09,400
Speaker 1: Afghan refugee who had terrorist motivation.

678
00:44:09,560 --> 00:44:12,200
Speaker 9: The terrorist who is gunned down, who gunned down American

679
00:44:12,239 --> 00:44:15,160
Speaker 9: soldiers blocks away from the White House and an ambush,

680
00:44:15,719 --> 00:44:18,960
Speaker 9: was an Afghan national who was flown into our country

681
00:44:19,080 --> 00:44:23,040
Speaker 9: by Joe Biden's administration in September twenty twenty one in

682
00:44:23,080 --> 00:44:27,080
Speaker 9: the chaotic wake of their boxed withdrawal from Afghanistan, one

683
00:44:27,120 --> 00:44:29,920
Speaker 9: of the most embarrassing moments in the history of our

684
00:44:30,000 --> 00:44:34,680
Speaker 9: great country. Joe Biden's historic failure in Afghanistan continues to

685
00:44:34,760 --> 00:44:37,880
Speaker 9: haunt this country in our men and women in uniform.

686
00:44:38,440 --> 00:44:41,280
Speaker 9: Not only did this surrender lead to a suicide bombing

687
00:44:41,280 --> 00:44:45,640
Speaker 9: that killed thirteen American heroes in Kabul, but now National

688
00:44:45,719 --> 00:44:48,680
Speaker 9: Guard troops were shot on US soil by the same

689
00:44:48,760 --> 00:44:52,000
Speaker 9: kind of enemy. We continue to live with the deadly

690
00:44:52,080 --> 00:44:54,920
Speaker 9: consequences of Joe Biden's horrific leadership.

691
00:44:55,800 --> 00:44:59,960
Speaker 1: We certainly do, and this is just yet another reason

692
00:45:00,080 --> 00:45:06,160
Speaker 1: and why Biden's parole program his refugee resettlement program were

693
00:45:06,480 --> 00:45:11,719
Speaker 1: such thorough and unmitigated disasters. For this country because it's

694
00:45:11,760 --> 00:45:16,200
Speaker 1: impossible to vet that many people to let alone all

695
00:45:16,239 --> 00:45:19,560
Speaker 1: of the people who are just flooding across are completely

696
00:45:19,880 --> 00:45:25,640
Speaker 1: unprotected southern border. As President Trump was famously quoted as saying,

697
00:45:26,120 --> 00:45:29,719
Speaker 1: you didn't need new laws, you just needed a new president,

698
00:45:29,800 --> 00:45:34,280
Speaker 1: because now nobody is getting in illegally and being allowed

699
00:45:34,280 --> 00:45:37,640
Speaker 1: to stay in this country as they were under Biden.

700
00:45:38,080 --> 00:45:43,560
Speaker 1: Now Levitt followed up on President Trump's Thanksgiving message on

701
00:45:43,640 --> 00:45:48,759
Speaker 1: truth Social promising to restrict immigration, both legal and illegal,

702
00:45:49,160 --> 00:45:49,920
Speaker 1: even first.

703
00:45:49,800 --> 00:45:51,960
Speaker 9: In the wake of last week's atrocity, it is more

704
00:45:52,000 --> 00:45:55,040
Speaker 9: important than ever to finish carrying out the President's mass

705
00:45:55,080 --> 00:46:00,719
Speaker 9: deportation Operation. America cannot allow millions upon millions of unvetted

706
00:46:01,000 --> 00:46:04,359
Speaker 9: illegal aliens to be rewarded with amnesty after they broke

707
00:46:04,400 --> 00:46:07,279
Speaker 9: our nation's loss to come here. They must go back

708
00:46:07,320 --> 00:46:11,160
Speaker 9: to their home countries. It is also essentially essential to

709
00:46:11,280 --> 00:46:15,000
Speaker 9: immediately address the massive fraud and corruption that has been

710
00:46:15,000 --> 00:46:18,520
Speaker 9: going on for decades in other aspects of our immigration system,

711
00:46:18,880 --> 00:46:22,400
Speaker 9: most notably when it comes to asylum claims. Millions of

712
00:46:22,440 --> 00:46:25,319
Speaker 9: people who have come here under false pretenses are told

713
00:46:25,400 --> 00:46:30,320
Speaker 9: blatant and told blaytant lies, now enjoy temporary legal status.

714
00:46:30,760 --> 00:46:33,560
Speaker 9: President Trump is ending this scam as well. And I

715
00:46:33,600 --> 00:46:35,760
Speaker 9: would point out that the Democrats have tried to block

716
00:46:35,840 --> 00:46:39,840
Speaker 9: this administration from doing so at every term turn, with

717
00:46:39,960 --> 00:46:41,800
Speaker 9: lawsuit after lawsuit.

718
00:46:42,239 --> 00:46:44,920
Speaker 1: They have, And we are going to get into the

719
00:46:45,040 --> 00:46:49,920
Speaker 1: disaster that that has had in Minnesota, where a massive

720
00:46:50,200 --> 00:46:55,680
Speaker 1: Somali refugee population has engaged in some of the worst

721
00:46:56,080 --> 00:46:59,520
Speaker 1: social benefit fraud this country has ever seen. And they're

722
00:46:59,560 --> 00:47:05,120
Speaker 1: doing so to fund a terror network, all while Tim Walls,

723
00:47:05,280 --> 00:47:09,480
Speaker 1: the hapless governor of this state, sits by and allows

724
00:47:09,520 --> 00:47:13,040
Speaker 1: it to happen. Now. Levitt was of course also asked

725
00:47:13,600 --> 00:47:18,520
Speaker 1: about the controversy du joure over Thanksgiving weekend, and that

726
00:47:18,800 --> 00:47:22,680
Speaker 1: was the apparent order given by Secretary of War Pete

727
00:47:22,719 --> 00:47:28,960
Speaker 1: Hegsith on September two to quote finish off survivors of

728
00:47:29,200 --> 00:47:35,400
Speaker 1: a droned boat strike out of Venezuela. Levitt was asked

729
00:47:35,520 --> 00:47:40,200
Speaker 1: specifically whether that was in illegal order. Remember, the so

730
00:47:40,280 --> 00:47:47,080
Speaker 1: called Seditious Six were accused of well fomenting an insurrection

731
00:47:47,440 --> 00:47:52,200
Speaker 1: or incitement to insubordination by saying that members of the

732
00:47:52,200 --> 00:47:56,759
Speaker 1: military should not obey illegal orders. She was specifically asked, Hey,

733
00:47:56,920 --> 00:47:59,279
Speaker 1: is this one of those illegal.

734
00:47:58,840 --> 00:48:01,040
Speaker 9: Orders I'm a state meant to read for you here.

735
00:48:01,400 --> 00:48:04,600
Speaker 9: President Trump and Secretary Hegseth have made it clear that

736
00:48:04,719 --> 00:48:09,920
Speaker 9: presidentially designated narco terrorist groups are subject to lethal targeting

737
00:48:10,200 --> 00:48:13,160
Speaker 9: in accordance with the laws of war. With respect to

738
00:48:13,200 --> 00:48:17,520
Speaker 9: the strikes in question, on September two, Secretary Hegseth authorized

739
00:48:17,560 --> 00:48:21,880
Speaker 9: Admiral Bradley to conduct these kinetic strikes. Admiral Bradley worked

740
00:48:21,920 --> 00:48:25,440
Speaker 9: well within his authority and the law directing the engagement

741
00:48:25,480 --> 00:48:28,319
Speaker 9: to ensure the vote was destroyed and the threat to

742
00:48:28,360 --> 00:48:31,439
Speaker 9: the United States of America was eliminated. And I would

743
00:48:31,480 --> 00:48:34,360
Speaker 9: just add one more point to remind the American public

744
00:48:34,520 --> 00:48:38,040
Speaker 9: why these lethal strikes are taking place. Because this administration

745
00:48:38,440 --> 00:48:42,799
Speaker 9: has designated these narco terrorists as foreign terrorist organizations. The

746
00:48:42,800 --> 00:48:44,960
Speaker 9: President has a right to take them out if they

747
00:48:44,960 --> 00:48:47,400
Speaker 9: are threatening the United States of America and if they

748
00:48:47,400 --> 00:48:50,880
Speaker 9: are bringing illegal narcotics that are killing our citizens at

749
00:48:50,920 --> 00:48:52,880
Speaker 9: a record rate, which is what they are doing. And

750
00:48:53,000 --> 00:48:56,680
Speaker 9: under the previous administration, there was enough fetinal trafficked into

751
00:48:56,680 --> 00:49:00,720
Speaker 9: our country to kill every American man, woman, and child

752
00:49:01,040 --> 00:49:01,959
Speaker 9: many times over.

753
00:49:02,960 --> 00:49:05,560
Speaker 1: We will have much more on this. We'll get into

754
00:49:05,560 --> 00:49:09,120
Speaker 1: this topic in greater depth the idea that somehow the

755
00:49:09,160 --> 00:49:13,280
Speaker 1: President and the Secretary of War have issued illegal orders.

756
00:49:13,600 --> 00:49:16,399
Speaker 1: Coming up later this hour here on the Dan O'Donnell Show,

757
00:49:16,400 --> 00:49:20,640
Speaker 1: that Ladies and Gentlemen is your daily Trump Date. We

758
00:49:20,760 --> 00:49:24,320
Speaker 1: now check in with Dave Spono, the CEO of Annex

759
00:49:24,320 --> 00:49:27,799
Speaker 1: Wealth Management, as we do each and every Monday at

760
00:49:27,840 --> 00:49:31,520
Speaker 1: this time to help you know the difference. And Dave,

761
00:49:31,960 --> 00:49:35,120
Speaker 1: as we begin the final month of twenty twenty five,

762
00:49:35,320 --> 00:49:38,799
Speaker 1: we are seeing some really good economic indicators on the ground,

763
00:49:38,880 --> 00:49:39,239
Speaker 1: aren't we.

764
00:49:40,440 --> 00:49:41,239
Speaker 8: Yeah, we really are.

765
00:49:41,320 --> 00:49:45,200
Speaker 10: You can see the spending is up, Dan, with that

766
00:49:45,320 --> 00:49:49,880
Speaker 10: we saw from the just recent spending and so you

767
00:49:49,920 --> 00:49:52,960
Speaker 10: look at it, you go, that is good. The tax

768
00:49:53,040 --> 00:49:56,600
Speaker 10: bill is in place, the feather reserve certainly looks like

769
00:49:56,640 --> 00:50:00,239
Speaker 10: they're going to cut rates of new Fed chairman is

770
00:50:00,320 --> 00:50:03,040
Speaker 10: coming forward in growth rates, and the number you'll probably

771
00:50:03,040 --> 00:50:06,680
Speaker 10: be talking about is expected to be up thirteen percent

772
00:50:06,800 --> 00:50:08,319
Speaker 10: next year in a GDP of five.

773
00:50:08,800 --> 00:50:10,760
Speaker 8: All of that is really good news.

774
00:50:10,840 --> 00:50:11,080
Speaker 6: Dan.

775
00:50:11,520 --> 00:50:15,040
Speaker 10: However, we're headed into a midterm election next year, and

776
00:50:15,080 --> 00:50:16,920
Speaker 10: this is going to be part of the conversation.

777
00:50:17,360 --> 00:50:21,600
Speaker 1: It certainly is, and it's looking right now. We're at

778
00:50:21,600 --> 00:50:25,360
Speaker 1: the point and people always get on me when I

779
00:50:25,520 --> 00:50:30,120
Speaker 1: talk about generic ballot and presidential approval ratings at this

780
00:50:30,200 --> 00:50:33,120
Speaker 1: point in a campaign cycle. They say, well, Dan, it's

781
00:50:33,160 --> 00:50:36,879
Speaker 1: not generic Democrats and generic Republicans running against each other.

782
00:50:36,960 --> 00:50:40,200
Speaker 1: What can you really take away from these polls a

783
00:50:40,239 --> 00:50:43,000
Speaker 1: little bit less than a year out from the midterms. Well,

784
00:50:43,120 --> 00:50:45,440
Speaker 1: what I always counter with that is this is the

785
00:50:45,480 --> 00:50:49,040
Speaker 1: point at which these numbers and these generic polls start

786
00:50:49,080 --> 00:50:53,880
Speaker 1: to get very highly predictive, meaning that you can start

787
00:50:53,920 --> 00:50:56,759
Speaker 1: to see what the electorate is going to look like,

788
00:50:56,880 --> 00:51:00,480
Speaker 1: and you can kind of guestimate, give or take, the

789
00:51:00,600 --> 00:51:03,399
Speaker 1: number of seats that the party in power is going

790
00:51:03,440 --> 00:51:06,680
Speaker 1: to lose. And invariably it does happen. The party that

791
00:51:06,719 --> 00:51:10,880
Speaker 1: controls the White House usually loses, and usually loses a

792
00:51:10,920 --> 00:51:15,560
Speaker 1: significant number of House seats. Now, Republicans are widely expected

793
00:51:15,560 --> 00:51:18,960
Speaker 1: to hold the Senate just because of the states in

794
00:51:19,000 --> 00:51:22,439
Speaker 1: which there are vacancies and the states in which there

795
00:51:22,480 --> 00:51:25,560
Speaker 1: are incumbent senators that are up for reelection. The map

796
00:51:25,880 --> 00:51:30,240
Speaker 1: very heavily favors Republicans this time around. But in the House,

797
00:51:31,320 --> 00:51:37,080
Speaker 1: we're looking at substantial losses. And that's not necessarily a

798
00:51:37,200 --> 00:51:40,880
Speaker 1: terrible thing for the markets. It's a terrible thing on policy.

799
00:51:40,960 --> 00:51:44,759
Speaker 1: I believe anytime Democrats are in power anywhere in this country.

800
00:51:45,640 --> 00:51:49,719
Speaker 1: But divided government is not necessarily the worst thing for

801
00:51:49,840 --> 00:51:53,439
Speaker 1: the markets or for the economy writ large.

802
00:51:53,560 --> 00:51:56,120
Speaker 10: While you look at it and have to say, for example,

803
00:51:56,160 --> 00:51:59,440
Speaker 10: and take the political end out of it, the Republicans

804
00:52:00,080 --> 00:52:04,360
Speaker 10: over the last so many elections have lost seats. You

805
00:52:04,400 --> 00:52:08,720
Speaker 10: can go back to Eisenhower, Nixon, Reagan, Trump, won, Trump

806
00:52:08,760 --> 00:52:12,960
Speaker 10: two Bush. They have all lost seats at the midterm.

807
00:52:13,040 --> 00:52:16,719
Speaker 10: So that is not something that is unusual. What is

808
00:52:16,960 --> 00:52:21,480
Speaker 10: unusual is how thin the electorate is at this point.

809
00:52:22,280 --> 00:52:24,239
Speaker 10: You have to go back to the Civil War Dan

810
00:52:24,360 --> 00:52:27,280
Speaker 10: to see a thin majority at two eighteen, two thirteen.

811
00:52:27,320 --> 00:52:32,280
Speaker 10: I remember Marjorie Taylor Green announcing her retirement on January fifth,

812
00:52:32,760 --> 00:52:35,520
Speaker 10: And you have a couple of special elections in Texas,

813
00:52:35,520 --> 00:52:38,680
Speaker 10: in New Jersey, so it's going to be even thinner

814
00:52:38,760 --> 00:52:42,799
Speaker 10: as they go into the midterm elections. So whatever that

815
00:52:42,920 --> 00:52:46,440
Speaker 10: number is, and as you said, they begin to get predictive,

816
00:52:46,880 --> 00:52:50,040
Speaker 10: and if it's sixteen or twenty or even forty seats,

817
00:52:50,400 --> 00:52:53,400
Speaker 10: that generally says that the Democrats will be in charge

818
00:52:53,400 --> 00:52:56,600
Speaker 10: of the House and therefore the purse, and that is

819
00:52:56,640 --> 00:52:58,799
Speaker 10: the reason why the markets pay attention to that.

820
00:52:59,120 --> 00:53:01,160
Speaker 8: But that's why I left with all of the good

821
00:53:01,200 --> 00:53:02,759
Speaker 8: news that I led.

822
00:53:02,800 --> 00:53:03,520
Speaker 11: One.

823
00:53:03,640 --> 00:53:06,759
Speaker 10: The tax bill is signed, The Federal Reserve looks like

824
00:53:06,800 --> 00:53:10,480
Speaker 10: they're going to cut the new FED chairman about eighty percent.

825
00:53:10,560 --> 00:53:11,840
Speaker 8: Chance that's going to be hasset.

826
00:53:11,880 --> 00:53:14,920
Speaker 10: At this point, growth is expected to be up and

827
00:53:15,000 --> 00:53:15,960
Speaker 10: so is GDP.

828
00:53:16,600 --> 00:53:19,000
Speaker 8: That might mitigate the losses to some extent.

829
00:53:19,239 --> 00:53:21,759
Speaker 10: But I think your listeners should know that as you

830
00:53:21,840 --> 00:53:24,640
Speaker 10: head into those midterms, there probably will be a change

831
00:53:24,680 --> 00:53:27,560
Speaker 10: of power at the House, and therefore the market will

832
00:53:27,600 --> 00:53:31,480
Speaker 10: react with some bit of volatility between now and the elections.

833
00:53:31,680 --> 00:53:35,279
Speaker 10: What happens after the elections is generally pretty good if

834
00:53:35,320 --> 00:53:36,840
Speaker 10: you have divided government.

835
00:53:36,640 --> 00:53:40,640
Speaker 1: Yeah, because there aren't any real big policy swings one

836
00:53:40,680 --> 00:53:43,239
Speaker 1: way or another, generally speaking, and there's a bit more

837
00:53:43,800 --> 00:53:47,680
Speaker 1: consistency because there's partisan gridlock. What I would add, though,

838
00:53:47,760 --> 00:53:52,480
Speaker 1: is that it's almost certain the second Democrats take control

839
00:53:52,520 --> 00:53:55,040
Speaker 1: of the House again, they're going to impeach Trump again.

840
00:53:55,440 --> 00:53:58,840
Speaker 1: I mean, they're just going to do constant impeachment, constant

841
00:53:58,880 --> 00:54:02,600
Speaker 1: government shutdowns. I would not be shocked if Democrats in

842
00:54:02,680 --> 00:54:06,440
Speaker 1: the Senate don't shut down the government again. When the

843
00:54:06,520 --> 00:54:10,520
Speaker 1: current funding expires next month. I mean, we could be

844
00:54:10,600 --> 00:54:14,359
Speaker 1: back to another government shutdown because they saw how that

845
00:54:14,440 --> 00:54:17,839
Speaker 1: shutdown sort of tanked President Trump's approval rating. So they

846
00:54:17,840 --> 00:54:22,520
Speaker 1: were down pretty precipitously from the sort of honeymoon period

847
00:54:22,520 --> 00:54:24,239
Speaker 1: that he enjoyed in the first couple of months of

848
00:54:24,320 --> 00:54:29,200
Speaker 1: his presidency. But you really saw them nosedive during the shutdown.

849
00:54:29,320 --> 00:54:32,600
Speaker 1: Why wouldn't Democrats do it again? They're just trying to

850
00:54:32,680 --> 00:54:35,680
Speaker 1: run out the clock on the Trump agenda. He is

851
00:54:35,760 --> 00:54:39,840
Speaker 1: Dave Spano the website annexwealth dot com to get a

852
00:54:39,840 --> 00:54:43,920
Speaker 1: review of your portfolio by experts who are working with

853
00:54:44,280 --> 00:54:48,240
Speaker 1: and for you as fee only fiduciaries. You are listening

854
00:54:48,280 --> 00:54:51,799
Speaker 1: to the Dan O'Donnell show. It's conservative thought, not just talk.

855
00:54:55,560 --> 00:54:59,880
Speaker 1: Senator Mark Kelly, Democrat from Arizona, is either about to

856
00:55:00,080 --> 00:55:02,840
Speaker 1: hold just held a press conference. I believe he just

857
00:55:02,880 --> 00:55:06,759
Speaker 1: held a press conference. This is how little attention I'm

858
00:55:06,760 --> 00:55:10,879
Speaker 1: really paying to this guy in which he is explaining

859
00:55:10,960 --> 00:55:14,759
Speaker 1: himself a little bit better on the illegal orders that

860
00:55:14,840 --> 00:55:19,879
Speaker 1: were supposedly given that all service members have to disobey.

861
00:55:20,000 --> 00:55:23,080
Speaker 1: This was the big controversy last week and it really

862
00:55:23,120 --> 00:55:27,399
Speaker 1: blew up over Thanksgiving weekend. Now that Democrats believe they

863
00:55:27,440 --> 00:55:32,279
Speaker 1: actually have a set of illegal orders, namely Secretary of

864
00:55:32,320 --> 00:55:38,040
Speaker 1: War Pete Hegseth saying to his naval commanders, leave no

865
00:55:38,239 --> 00:55:43,360
Speaker 1: survivors in striking ordering a second strike on a Venezuelan

866
00:55:43,680 --> 00:55:47,600
Speaker 1: drug boat that was loaded up with drugs and speeding

867
00:55:47,640 --> 00:55:51,400
Speaker 1: towards the United States. Well, lefties have been saying since

868
00:55:51,520 --> 00:55:55,000
Speaker 1: President Trump first started targeting these drug boats, well, how

869
00:55:55,040 --> 00:55:58,600
Speaker 1: do we know, how do we know that they're actual

870
00:55:58,719 --> 00:56:03,840
Speaker 1: drug boats and not some guy taking his speedboat out

871
00:56:04,440 --> 00:56:07,600
Speaker 1: for a trip from Venezuela to the United States. This

872
00:56:07,719 --> 00:56:11,080
Speaker 1: is truly what they believe, that people normally will just

873
00:56:11,200 --> 00:56:18,080
Speaker 1: take these transcontinental speedboat trips leaving from Venezuela, that the

874
00:56:18,200 --> 00:56:22,360
Speaker 1: Venezuelan government is just going to kind of allow random

875
00:56:22,440 --> 00:56:29,080
Speaker 1: trips out to the US. Okay, Okay. They forget, of course,

876
00:56:30,120 --> 00:56:35,480
Speaker 1: that President Obama literally did about fifteen years ago order

877
00:56:35,600 --> 00:56:39,759
Speaker 1: the drone strike assassination of an American citizen by the

878
00:56:39,840 --> 00:56:44,120
Speaker 1: name of Anwar al Alaki, who was a leader of

879
00:56:44,800 --> 00:56:49,960
Speaker 1: al Qaida in Rock. Now Alaki was also an American citizen.

880
00:56:50,680 --> 00:56:54,800
Speaker 1: There's no due process. This was an extra judicial killing.

881
00:56:55,840 --> 00:57:01,680
Speaker 1: So why was President Obama, not before the hag on

882
00:57:01,880 --> 00:57:08,520
Speaker 1: war crimes charges or arrested by the FBI under James

883
00:57:08,640 --> 00:57:13,400
Speaker 1: Comy and brought before a liberal federal judge to answer

884
00:57:13,480 --> 00:57:19,160
Speaker 1: for his crimes. Well, because Enwar Alacki was a member

885
00:57:19,160 --> 00:57:25,360
Speaker 1: of a terror organization and very obviously an enemy combatant,

886
00:57:25,560 --> 00:57:31,800
Speaker 1: the drug cartels have been designated as foreign terrorist enemies.

887
00:57:32,760 --> 00:57:35,480
Speaker 1: They have no due process rights. None of them are

888
00:57:35,520 --> 00:57:39,440
Speaker 1: American citizens. I was actually on a panel on Newsmax

889
00:57:39,520 --> 00:57:46,280
Speaker 1: TV this afternoon with a left wing Democrat strategist who, honestly,

890
00:57:46,360 --> 00:57:49,200
Speaker 1: I think he was on about his fifteenth cup of coffee,

891
00:57:49,680 --> 00:57:51,960
Speaker 1: or maybe he was one of the recipients of those

892
00:57:52,040 --> 00:57:54,439
Speaker 1: Venezuelan drug boats. But he was talking about a mile

893
00:57:54,480 --> 00:57:59,560
Speaker 1: a minute and kept referencing due process for these criminals.

894
00:57:59,760 --> 00:58:04,120
Speaker 1: They don't enjoy due process rights. Anwar al al Laki

895
00:58:04,240 --> 00:58:07,840
Speaker 1: technically enjoyed due process rights as an American citizen. But

896
00:58:07,960 --> 00:58:13,400
Speaker 1: because they are classified as enemy combatants, this is perfectly

897
00:58:13,520 --> 00:58:18,640
Speaker 1: lawful under the rules of engagement. The idea, oh, oh,

898
00:58:18,680 --> 00:58:21,080
Speaker 1: we're going to strike them to make sure they're dead.

899
00:58:21,880 --> 00:58:25,680
Speaker 1: What do you think we did with Osama bin Laden? Yeah,

900
00:58:25,800 --> 00:58:30,440
Speaker 1: capture him, sure, But if they're going to continue to

901
00:58:30,480 --> 00:58:32,760
Speaker 1: pose a threat to the United States if these guys

902
00:58:32,760 --> 00:58:34,520
Speaker 1: were just going to get picked up by the next

903
00:58:34,600 --> 00:58:39,760
Speaker 1: Narco boat that happened upon them. Yes, you can actually

904
00:58:39,880 --> 00:58:47,800
Speaker 1: use lethal force in war now. Kelly was actually on.

905
00:58:48,360 --> 00:58:51,920
Speaker 1: Senator Mark Kelly was on Meet the Press with Kristen

906
00:58:51,960 --> 00:58:57,480
Speaker 1: Welker on NBC yesterday and said something rather remarkable because

907
00:58:57,560 --> 00:59:01,040
Speaker 1: the idea behind what the so called Cites Dishes six

908
00:59:01,240 --> 00:59:04,720
Speaker 1: supposedly did was, well, we're just saying, remember they cut

909
00:59:04,720 --> 00:59:08,520
Speaker 1: this video. A lot of people forget what happened before Thanksgiving.

910
00:59:08,520 --> 00:59:12,200
Speaker 1: It's easier in a trip to fan induced coma, and

911
00:59:12,280 --> 00:59:14,760
Speaker 1: you watch a lot of football, watch the Big Packers

912
00:59:14,840 --> 00:59:17,640
Speaker 1: Thanksgiving Day win over the Detroit Lions, where they just

913
00:59:17,720 --> 00:59:21,800
Speaker 1: looked like the vastly superior team for almost the entire game,

914
00:59:22,120 --> 00:59:26,120
Speaker 1: you forget about what happened last week. This video featured

915
00:59:26,200 --> 00:59:29,360
Speaker 1: all of these service members, former service members who are

916
00:59:29,360 --> 00:59:32,920
Speaker 1: now Democrat members of Congress, two Senators Alyssa Slotkin of Michigan,

917
00:59:33,400 --> 00:59:38,120
Speaker 1: Mark Kelly of Arizona, and they're telling service members, active

918
00:59:38,200 --> 00:59:41,640
Speaker 1: duty service members that they do not have to and

919
00:59:41,720 --> 00:59:47,520
Speaker 1: in fact cannot follow, They cannot uphold unlawful orders. Well,

920
00:59:47,680 --> 00:59:51,760
Speaker 1: when pressed all last week about which of President Trump's

921
00:59:51,920 --> 00:59:55,240
Speaker 1: orders were unlawful, they couldn't name any. In fact, Slotkin

922
00:59:55,360 --> 00:59:59,240
Speaker 1: went on, I believe it was the CBS Sunday Morning

923
00:59:59,280 --> 01:00:03,360
Speaker 1: Show a week ago Sunday, and positively embarrassed herself because

924
01:00:03,360 --> 01:00:05,880
Speaker 1: she was asked flat out, okay, what illegal order has

925
01:00:05,920 --> 01:00:08,760
Speaker 1: been given? She couldn't name a single one. Well, now

926
01:00:08,800 --> 01:00:11,680
Speaker 1: they believe, okay, well here's an illegal order that was given.

927
01:00:12,360 --> 01:00:16,000
Speaker 1: Kelly said something remarkable, though, and this is sort of telling.

928
01:00:17,080 --> 01:00:21,439
Speaker 1: When Kristin Welker pressed him about illegal orders and whether

929
01:00:21,560 --> 01:00:25,120
Speaker 1: or not he personally would disobey the order from Pete

930
01:00:25,120 --> 01:00:30,000
Speaker 1: Hegsith to shoot down the Narco terrorists after the initial strike,

931
01:00:30,880 --> 01:00:36,880
Speaker 1: he said, effectively, look, members of the military, especially officers,

932
01:00:37,320 --> 01:00:39,600
Speaker 1: they're going to have to use their own judgment. They're

933
01:00:39,600 --> 01:00:43,200
Speaker 1: gonna have to decide for themselves, because we would really

934
01:00:43,520 --> 01:00:48,600
Speaker 1: hate to have to prosecute them once we retake power.

935
01:00:48,720 --> 01:00:50,880
Speaker 11: People can tell the difference, should be able to tell

936
01:00:50,920 --> 01:00:53,840
Speaker 11: the difference between something that is unlawful and something that

937
01:00:53,920 --> 01:00:57,280
Speaker 11: is lawful. And if I was ever given an unlawful order,

938
01:00:57,720 --> 01:01:02,040
Speaker 11: I would refuse. Would you know, if you have time.

939
01:01:02,520 --> 01:01:06,040
Speaker 11: You can certainly go to the judge, advocate generals, the

940
01:01:06,120 --> 01:01:08,200
Speaker 11: lawyers and have a discussion about it. If you don't

941
01:01:08,200 --> 01:01:09,720
Speaker 11: have time, you just say simply, I'm not going to

942
01:01:09,760 --> 01:01:09,960
Speaker 11: do that.

943
01:01:09,960 --> 01:01:10,760
Speaker 1: That's against the law.

944
01:01:11,280 --> 01:01:13,720
Speaker 2: It puts a lot of burden on the troops to

945
01:01:13,720 --> 01:01:14,720
Speaker 2: make a decision in real time.

946
01:01:14,760 --> 01:01:15,160
Speaker 1: There, it's a.

947
01:01:15,160 --> 01:01:17,720
Speaker 11: Tremendous amount of burden on officers in the military. But

948
01:01:17,760 --> 01:01:21,320
Speaker 11: that is their responsibility, and they can figure out. You know,

949
01:01:21,360 --> 01:01:24,800
Speaker 11: a reasonable person can tell something that is legal and

950
01:01:24,880 --> 01:01:28,560
Speaker 11: something that is illegal how exactly.

951
01:01:29,640 --> 01:01:34,680
Speaker 1: I'm a reasonable person with a law degree. If I

952
01:01:34,720 --> 01:01:39,880
Speaker 1: was given an order to shoot down some narco terrorists,

953
01:01:40,680 --> 01:01:44,720
Speaker 1: I'm supposed to decide in the fraction of a second

954
01:01:46,040 --> 01:01:49,000
Speaker 1: whether or not that's an illegal order. Now, the implicit

955
01:01:49,160 --> 01:01:53,040
Speaker 1: threat there is that, hey, hey, you got to use

956
01:01:53,080 --> 01:01:56,479
Speaker 1: your best judgment, and if your best judgment is wrong, well,

957
01:01:58,040 --> 01:02:01,080
Speaker 1: we'd hate to have to do something about all those

958
01:02:01,200 --> 01:02:04,920
Speaker 1: good Germans who are just following orders from the Orange

959
01:02:04,960 --> 01:02:09,919
Speaker 1: American hitler. That's an implicit threat. This is why this

960
01:02:10,120 --> 01:02:13,880
Speaker 1: was not as Democrats have insisted, Well, this is just

961
01:02:13,960 --> 01:02:17,840
Speaker 1: a reminder. This is just a reminder of the constitutional

962
01:02:17,880 --> 01:02:21,919
Speaker 1: obligation that all soldiers and all airmen and seamen have

963
01:02:22,360 --> 01:02:26,520
Speaker 1: in serving this country that they can refuse illegal orders

964
01:02:26,520 --> 01:02:29,160
Speaker 1: if they want. No, No, it's not, it's not. This

965
01:02:29,280 --> 01:02:34,720
Speaker 1: is actively saying to service members, you'd better not do

966
01:02:34,880 --> 01:02:38,560
Speaker 1: what Trump says, or you might find yourself in front

967
01:02:38,560 --> 01:02:42,680
Speaker 1: of a military tribunal once we retake power, once President

968
01:02:42,880 --> 01:02:47,840
Speaker 1: AOC is your commander in chief. This is exactly the

969
01:02:47,920 --> 01:02:50,840
Speaker 1: same thing that Democrats have been doing with We saw

970
01:02:50,880 --> 01:02:55,040
Speaker 1: this in Wisconsin at the state capitol with these ice

971
01:02:55,440 --> 01:02:59,120
Speaker 1: verifier training sessions, where they're saying, oh, no, no, no, no,

972
01:02:59,160 --> 01:03:02,720
Speaker 1: we're just we're minding people of their rights. We just

973
01:03:02,800 --> 01:03:07,080
Speaker 1: want people to know their rights when when law enforcement

974
01:03:07,120 --> 01:03:10,480
Speaker 1: officers come for them. No, what you're doing is telling

975
01:03:10,560 --> 01:03:14,640
Speaker 1: people who are wanted by the authorities that the authorities

976
01:03:14,680 --> 01:03:21,360
Speaker 1: are coming for them. You're actively encouraging lawlessness by the

977
01:03:21,440 --> 01:03:26,560
Speaker 1: people who are interfering with the lawful execution of legitimate

978
01:03:26,640 --> 01:03:30,919
Speaker 1: law enforcement functions. It's the exact same thing here, only

979
01:03:30,960 --> 01:03:34,480
Speaker 1: in a military concept. In a military context, I should

980
01:03:34,480 --> 01:03:38,440
Speaker 1: say that what you're saying is, oh, yes, yes, refuse

981
01:03:38,520 --> 01:03:41,680
Speaker 1: unlawful orders. This one might be unlawful, but you'd better

982
01:03:41,760 --> 01:03:45,160
Speaker 1: use your best judgment because if we determine it to

983
01:03:45,200 --> 01:03:48,880
Speaker 1: be unlawful, then you will be just as guilty as

984
01:03:49,080 --> 01:03:52,800
Speaker 1: Trump if you go through with what it is, he says.

985
01:03:52,880 --> 01:03:56,280
Speaker 1: We talk about the latest on the National Guard shooting

986
01:03:56,440 --> 01:04:00,680
Speaker 1: and the Biden era disaster of an immigration poe. Next,

987
01:04:02,720 --> 01:04:06,600
Speaker 1: one of the most amazing stories that broke over Thanksgiving

988
01:04:06,640 --> 01:04:10,080
Speaker 1: weekend was made even more amazing by the fact that

989
01:04:10,120 --> 01:04:13,240
Speaker 1: The New York Times actually covered it. It comes to

990
01:04:13,320 --> 01:04:18,520
Speaker 1: us from Minnesota, which has a massive Somali migrant population.

991
01:04:19,320 --> 01:04:24,480
Speaker 1: In fact, so embedded in the politics is Somali culture

992
01:04:25,240 --> 01:04:29,760
Speaker 1: that do you remember Omar Fat who was a Somali

993
01:04:29,840 --> 01:04:33,520
Speaker 1: refugee who was running for mayor of Minneapolis against the

994
01:04:33,560 --> 01:04:39,360
Speaker 1: incumbent Jacob Frey. Frey actually was able to overcome a

995
01:04:39,680 --> 01:04:44,440
Speaker 1: massive early disadvantage. Remember the Democrat Farm and Labor Party,

996
01:04:44,440 --> 01:04:47,120
Speaker 1: which is basically the Democrat party that they have up there,

997
01:04:47,520 --> 01:04:51,120
Speaker 1: endorsed Fate. But there was all sorts of funny business

998
01:04:51,680 --> 01:04:56,200
Speaker 1: that was weird. Jacob Fray, a Democrat, was claiming election

999
01:04:56,480 --> 01:05:01,160
Speaker 1: fraud in the vote for the Minneapolis d El Democrat

1000
01:05:01,200 --> 01:05:06,200
Speaker 1: Farm in Labor nomination or endorsement, and it was rescinded.

1001
01:05:07,200 --> 01:05:15,240
Speaker 1: Frey actually overtly played to tribal politics amidst the Somali immigrants,

1002
01:05:15,400 --> 01:05:20,400
Speaker 1: meaning there are rival tribes, and he pitted the tribe

1003
01:05:20,560 --> 01:05:26,200
Speaker 1: that was not Fate's tribe against Fate and he won well.

1004
01:05:26,200 --> 01:05:32,120
Speaker 1: Another very famous Somali migrant, elan Omar congressional representative, who

1005
01:05:33,000 --> 01:05:36,440
Speaker 1: may or may not have married her own brother in

1006
01:05:36,680 --> 01:05:40,120
Speaker 1: a green card scam back in the day, was very

1007
01:05:40,120 --> 01:05:43,760
Speaker 1: ticked at this well. Over the weekend, it was revealed

1008
01:05:44,240 --> 01:05:49,760
Speaker 1: that there was a hundred plus million dollar welfare scam

1009
01:05:50,240 --> 01:05:54,880
Speaker 1: in which Somali migrants were saying that their children had

1010
01:05:54,960 --> 01:06:00,000
Speaker 1: autism when they didn't. They were falsifying documentation of autism

1011
01:06:00,200 --> 01:06:05,440
Speaker 1: diagnoses in order to get increases in funding that was

1012
01:06:05,560 --> 01:06:11,680
Speaker 1: then being intercepted in true Somali warlord politics and sent

1013
01:06:11,960 --> 01:06:15,000
Speaker 1: back to Somalia where it was being used to fund

1014
01:06:15,040 --> 01:06:17,600
Speaker 1: I am not kidding. This should be the front page story.

1015
01:06:17,640 --> 01:06:20,720
Speaker 1: This should be the top story in every newspaper and

1016
01:06:20,800 --> 01:06:23,480
Speaker 1: on every television show in America. It was being sent

1017
01:06:23,560 --> 01:06:28,400
Speaker 1: to fund al Shabab, which is an Islamist terror organization

1018
01:06:28,640 --> 01:06:34,920
Speaker 1: operating out of Africa. All the while Governor Tim Walls

1019
01:06:35,680 --> 01:06:40,880
Speaker 1: was apparently, according to an x account of Minnesota State

1020
01:06:41,120 --> 01:06:47,200
Speaker 1: Human Resources employees who claimed Walls knew all of this

1021
01:06:47,400 --> 01:06:52,240
Speaker 1: was going on but did nothing despite repeated warnings by them.

1022
01:06:52,880 --> 01:06:55,800
Speaker 1: Their account didn't pop up overnight. It has since been

1023
01:06:55,880 --> 01:06:59,040
Speaker 1: suspended for some reason on X but it has been

1024
01:06:59,120 --> 01:07:03,760
Speaker 1: active since twenty twenty three. And if it is legitimate,

1025
01:07:03,880 --> 01:07:10,840
Speaker 1: and I guess it smacks of legitimacy, it would be

1026
01:07:11,080 --> 01:07:16,000
Speaker 1: very damning if Walls was ignoring repeated warnings about this,

1027
01:07:16,120 --> 01:07:18,840
Speaker 1: But it would track with what he said on Meet

1028
01:07:18,880 --> 01:07:24,880
Speaker 1: the Press yesterday with Kristin Welker, when Welker asked him, Hey, so,

1029
01:07:26,280 --> 01:07:30,080
Speaker 1: got anything to say about the massive Somali fraud ring

1030
01:07:30,280 --> 01:07:30,880
Speaker 1: in your states?

1031
01:07:31,080 --> 01:07:34,520
Speaker 2: Does you take responsibility for failing to stop this fraud

1032
01:07:34,520 --> 01:07:35,080
Speaker 2: in your state?

1033
01:07:37,160 --> 01:07:39,920
Speaker 12: Well, certainly I take responsibility for putting people in jail.

1034
01:07:40,200 --> 01:07:43,520
Speaker 12: Governors don't get to just talk theoretically. We have to

1035
01:07:43,560 --> 01:07:46,720
Speaker 12: solve problems. And I will note it's not just Somali's.

1036
01:07:46,880 --> 01:07:50,040
Speaker 12: Minnesota is a generous state. Minnesota's a prosperous days, a

1037
01:07:50,080 --> 01:07:52,760
Speaker 12: well run state or triple A bond rated. But that

1038
01:07:52,800 --> 01:07:55,959
Speaker 12: attracts criminals. Those people are going to jail. We're doing

1039
01:07:56,000 --> 01:07:58,760
Speaker 12: everything we can, but to demonize an entire community on

1040
01:07:58,840 --> 01:08:00,160
Speaker 12: the actions of a few.

1041
01:08:00,720 --> 01:08:05,000
Speaker 1: It's lazy. So there were seventy five people arrested and

1042
01:08:05,080 --> 01:08:07,720
Speaker 1: charged in this fraud ring, seventy five seventy one of

1043
01:08:07,760 --> 01:08:11,640
Speaker 1: them are Somali migrants. It is not lazy to say

1044
01:08:11,720 --> 01:08:16,200
Speaker 1: seventy one of seventy five are of a particular nationality

1045
01:08:16,240 --> 01:08:20,080
Speaker 1: and are not American citizens. I think we've got a

1046
01:08:20,120 --> 01:08:24,080
Speaker 1: problem here. He say, it's not just Somalis. It is

1047
01:08:24,320 --> 01:08:28,360
Speaker 1: absolutely just Somalis. And what else does he say? Hey,

1048
01:08:28,680 --> 01:08:32,160
Speaker 1: we're a generous state where the governor is stupid. So

1049
01:08:32,320 --> 01:08:35,960
Speaker 1: if you want to commit fraud on a massive billion

1050
01:08:36,080 --> 01:08:41,720
Speaker 1: dollar scale, do it here in Minnesota now. In response

1051
01:08:41,840 --> 01:08:46,679
Speaker 1: to this, Stephen Miller, special Assistant to the President, said

1052
01:08:47,000 --> 01:08:52,320
Speaker 1: literally everything you need to know about why fraud of

1053
01:08:52,400 --> 01:08:57,799
Speaker 1: this massive, insane scale is allowed to exist.

1054
01:08:57,920 --> 01:08:59,120
Speaker 13: This was not a loophole.

1055
01:08:59,320 --> 01:09:00,479
Speaker 8: The bottom of the registration.

1056
01:09:01,280 --> 01:09:07,280
Speaker 13: Secretary of Homeland Security Allejandra Majorkis devised a scheme to

1057
01:09:07,320 --> 01:09:10,240
Speaker 13: fly illegal aliens into the country and then to escort

1058
01:09:10,280 --> 01:09:13,320
Speaker 13: them in mass across the board by the millions, and

1059
01:09:13,360 --> 01:09:16,160
Speaker 13: to give them something known as parole, which gives them

1060
01:09:16,160 --> 01:09:18,760
Speaker 13: a work permit, which gives them which gives them a

1061
01:09:18,840 --> 01:09:22,360
Speaker 13: social security number, which gives them access to the voting booth.

1062
01:09:22,720 --> 01:09:25,439
Speaker 13: This was the plan all along to get them here

1063
01:09:25,479 --> 01:09:28,719
Speaker 13: illegally so they can get free government benefits, get hooked

1064
01:09:28,720 --> 01:09:32,440
Speaker 13: to welfare, and be able to participate in American elections.

1065
01:09:32,920 --> 01:09:34,360
Speaker 8: This was an attack on.

1066
01:09:34,360 --> 01:09:36,519
Speaker 13: Democracy by the Democrat Party.

1067
01:09:37,040 --> 01:09:41,120
Speaker 1: In fact, it's almost inarguable at this point. What did

1068
01:09:41,160 --> 01:09:45,160
Speaker 1: I open this segment by saying that both candidates in

1069
01:09:45,200 --> 01:09:53,160
Speaker 1: the Minneapolis mayoral election were resorting to Somali tribal rivalries

1070
01:09:53,760 --> 01:10:00,479
Speaker 1: in order to win votes. Nobody sees anything fundamentally wrong

1071
01:10:01,040 --> 01:10:06,320
Speaker 1: with that. These people are brought here, they're paroled, they

1072
01:10:06,320 --> 01:10:11,400
Speaker 1: are allowed in through chain migration. They are flowing. Did

1073
01:10:11,439 --> 01:10:13,760
Speaker 1: you not think it was weird that all of the

1074
01:10:13,800 --> 01:10:18,439
Speaker 1: illegals were being flown to swing states in the Biden era?

1075
01:10:19,560 --> 01:10:24,360
Speaker 1: You don't think that that there's just two thousand random

1076
01:10:24,439 --> 01:10:29,080
Speaker 1: Nicaraguans in Whitewater, Wisconsin. They're just sort of dumped there.

1077
01:10:30,560 --> 01:10:36,400
Speaker 1: Why a bunch of Venezuelans in Green Bay. Why do

1078
01:10:36,439 --> 01:10:42,040
Speaker 1: you remember all of the Haitians? And was it Springfield, Ohio?

1079
01:10:42,760 --> 01:10:46,920
Speaker 1: They're eating the cats, They're eating the dogs in Springfield.

1080
01:10:47,000 --> 01:10:49,200
Speaker 1: One of the most legendary lines in the history of

1081
01:10:49,240 --> 01:10:56,120
Speaker 1: presidential debates uttered by President Trump. Why why is there

1082
01:10:56,200 --> 01:11:03,599
Speaker 1: suddenly a massive Haitian presence in Springfield, Ohio. These people

1083
01:11:03,680 --> 01:11:09,080
Speaker 1: were allowed in and it is specifically to give Democrats

1084
01:11:09,120 --> 01:11:12,400
Speaker 1: what they were openly bragging about a generation ago, and

1085
01:11:12,439 --> 01:11:16,160
Speaker 1: that's a permanent majority. They were talking about demographics being

1086
01:11:16,320 --> 01:11:21,000
Speaker 1: destiny that no matter what Republicans did, that because of immigration,

1087
01:11:21,160 --> 01:11:25,200
Speaker 1: both legal and illegal, within a couple of generations, as

1088
01:11:25,240 --> 01:11:27,760
Speaker 1: the people are coming in and they're having what are

1089
01:11:28,240 --> 01:11:33,000
Speaker 1: pejoratively known as anchor babies American citizens because they're born

1090
01:11:33,040 --> 01:11:36,959
Speaker 1: on American soil, and then of course President had Obama

1091
01:11:37,040 --> 01:11:40,400
Speaker 1: had DACA and DAPPA deferred action for the parents of

1092
01:11:40,479 --> 01:11:43,960
Speaker 1: Americans where they wouldn't deport anybody who has a kid,

1093
01:11:44,040 --> 01:11:48,439
Speaker 1: hence the nickname anchor babies. The idea was that once

1094
01:11:48,479 --> 01:11:53,000
Speaker 1: those generations who have lived large on Democrat Benny's for

1095
01:11:53,120 --> 01:11:58,200
Speaker 1: their entire childhoods, once they reached adulthood, they would be

1096
01:11:58,360 --> 01:12:03,000
Speaker 1: loyal Democrat customers. They would be rewarding the people who

1097
01:12:03,040 --> 01:12:05,879
Speaker 1: allowed them in in the first place and then basically

1098
01:12:05,920 --> 01:12:10,040
Speaker 1: paid for their lifestyle. That ladies and gentlemen is essentially

1099
01:12:10,040 --> 01:12:14,559
Speaker 1: how Democrat politics works. The problem is once you get

1100
01:12:14,600 --> 01:12:19,599
Speaker 1: people too upwardly mobile, like American citizens, they start saying, well,

1101
01:12:20,040 --> 01:12:23,440
Speaker 1: I don't need Democrat handouts, and in fact, Democrat policies

1102
01:12:23,720 --> 01:12:27,160
Speaker 1: actively make me poorer and they make me less safe.

1103
01:12:27,200 --> 01:12:29,800
Speaker 1: I'm not going to vote for them. Well, there's a need.

1104
01:12:29,960 --> 01:12:33,400
Speaker 1: Just like socialists eventually run out of other people's money,

1105
01:12:33,640 --> 01:12:37,160
Speaker 1: they eventually run out of voters who they can convince

1106
01:12:37,320 --> 01:12:41,360
Speaker 1: to vote for them based solely on giving them other

1107
01:12:41,400 --> 01:12:44,920
Speaker 1: people's money. So what they clearly have been doing is

1108
01:12:45,160 --> 01:12:48,840
Speaker 1: importing them. It's not a racist conspiracy theory. It is

1109
01:12:49,000 --> 01:12:54,040
Speaker 1: absolutely what Democrats have been doing for decades now. Suffice

1110
01:12:54,040 --> 01:12:56,800
Speaker 1: it to say, I am already in the Christmas spirits

1111
01:12:57,000 --> 01:12:59,960
Speaker 1: and it's only the first day of Advent. Welcome back

1112
01:13:00,120 --> 01:13:02,760
Speaker 1: to the Dan o'donald showed his time now to name

1113
01:13:02,840 --> 01:13:13,760
Speaker 1: our unsung hero of the day. Now, today's unsung Hero

1114
01:13:13,960 --> 01:13:16,640
Speaker 1: of the day is probably going to be one of

1115
01:13:16,680 --> 01:13:20,360
Speaker 1: the most controversial that we've ever named, because a lot

1116
01:13:20,360 --> 01:13:24,759
Speaker 1: of people don't really like this guy, but you should.

1117
01:13:25,800 --> 01:13:29,639
Speaker 1: Today's unsung Hero of the day is Milwaukee Journal Sentinel

1118
01:13:29,680 --> 01:13:34,240
Speaker 1: investigative reporter and columnist Dan Biss. He wrote on his

1119
01:13:34,400 --> 01:13:38,160
Speaker 1: Facebook page today just recently, I got the news that

1120
01:13:38,240 --> 01:13:42,880
Speaker 1: I have esophageal cancer. I start chemo Tuesday and it

1121
01:13:42,920 --> 01:13:46,120
Speaker 1: will run for months, with surgery and radiation as options.

1122
01:13:46,160 --> 01:13:50,400
Speaker 1: Because the tumor was caught late, the prognosis isn't ideal,

1123
01:13:50,560 --> 01:13:53,639
Speaker 1: but we are hoping for the best. I appreciate all

1124
01:13:53,680 --> 01:13:57,280
Speaker 1: the calls, texts and emails. Even got a call from

1125
01:13:57,320 --> 01:14:01,920
Speaker 1: Governor Tony Evers, and esophageal cancer survivor who reassured me

1126
01:14:02,120 --> 01:14:04,400
Speaker 1: I don't have to run for statewide office if I

1127
01:14:04,479 --> 01:14:07,000
Speaker 1: beat this. I hope to write at least a little

1128
01:14:07,080 --> 01:14:10,439
Speaker 1: for the MJS during treatment. So as always, feel free

1129
01:14:10,479 --> 01:14:15,400
Speaker 1: to send story ideas to Daniel dot Biss at JRN

1130
01:14:16,000 --> 01:14:19,559
Speaker 1: dot com, which is of course his professional email address. Now,

1131
01:14:19,840 --> 01:14:21,640
Speaker 1: I know a lot of you folks do not like

1132
01:14:22,000 --> 01:14:26,360
Speaker 1: Dan because he does a fair amount of hit pieces

1133
01:14:26,400 --> 01:14:29,800
Speaker 1: on Republicans. He also does a fair amount of hit

1134
01:14:29,840 --> 01:14:35,720
Speaker 1: pieces on Democrats. Dan is actually an old school journalist

1135
01:14:35,920 --> 01:14:40,559
Speaker 1: with the capital J who fundamentally does not seem to

1136
01:14:40,720 --> 01:14:45,519
Speaker 1: care nor should he, about who he offends. When he

1137
01:14:45,560 --> 01:14:50,519
Speaker 1: got started with Carrie Spevak, the Spevak and Biss column

1138
01:14:50,760 --> 01:14:54,679
Speaker 1: was required reading while I was growing up and Frankly,

1139
01:14:55,360 --> 01:14:59,400
Speaker 1: Dan Biss's column has been required reading for me every

1140
01:14:59,479 --> 01:15:04,599
Speaker 1: step of my professional career. Dan is an unsung hero

1141
01:15:04,880 --> 01:15:09,639
Speaker 1: because he will write critical stories about democrats in an

1142
01:15:09,720 --> 01:15:15,000
Speaker 1: era where many of his contemporaries simply will not. And

1143
01:15:15,080 --> 01:15:19,320
Speaker 1: everyone here at the Dan O'Donnell Show sends our thoughts

1144
01:15:19,360 --> 01:15:24,639
Speaker 1: and prayers to Dan, who is a devout Christian. I

1145
01:15:24,640 --> 01:15:27,439
Speaker 1: don't want to out him on that, but he always

1146
01:15:27,479 --> 01:15:30,400
Speaker 1: has been and I know his faith will get him

1147
01:15:30,439 --> 01:15:33,479
Speaker 1: through this. So if you would please say a prayer

1148
01:15:33,520 --> 01:15:39,639
Speaker 1: of healing for Dan Bisse, Today's unsung hero of the day.

1149
01:15:40,439 --> 01:15:43,280
Speaker 1: We love you, Dan, even when we disagree with you.

1150
01:15:43,520 --> 01:15:48,400
Speaker 1: We wish the absolute best in your recovery, and we

1151
01:15:48,439 --> 01:15:51,880
Speaker 1: will say a Christmas prayer for you. Dan o'donalds Show

1152
01:15:51,920 --> 01:15:57,639
Speaker 1: coming right back to miss To each and every one

1153
01:15:57,760 --> 01:16:02,439
Speaker 1: of you, I love every buddy listening watching the show

1154
01:16:02,600 --> 01:16:05,599
Speaker 1: out there in Dan Nation. Your support means more than

1155
01:16:05,640 --> 01:16:08,920
Speaker 1: you can ever possibly know, and I bring you and

1156
01:16:09,000 --> 01:16:12,679
Speaker 1: wish for you good tightings, glad tightings of great joy

1157
01:16:12,720 --> 01:16:15,479
Speaker 1: this holiday season. Welcome back to The Dan o'donald Show.

1158
01:16:15,640 --> 01:16:19,000
Speaker 1: Final hour four one, four, seven, nine, nine, eleven thirty

1159
01:16:19,400 --> 01:16:22,040
Speaker 1: on our adventnows dot com, talk and text line one

1160
01:16:22,040 --> 01:16:24,360
Speaker 1: eight hundred eight three eight nine four seven six. You

1161
01:16:24,400 --> 01:16:28,400
Speaker 1: can reach us toll free, DoD at iHeartMedia dot com

1162
01:16:28,400 --> 01:16:32,439
Speaker 1: at Dan o'donaldshow, on x, Facebook dot com, slash Dan

1163
01:16:32,520 --> 01:16:35,880
Speaker 1: o'donalds Show, as well Instagram Dan o'donald's Show. You can

1164
01:16:35,880 --> 01:16:40,479
Speaker 1: find us on YouTube and iHeartRadio or wherever you listen

1165
01:16:40,600 --> 01:16:44,720
Speaker 1: to podcasts. More than one thousand people here in Wisconsin

1166
01:16:45,320 --> 01:16:48,120
Speaker 1: have now, according to the Milwaukee Journal Sentinel, signed a

1167
01:16:48,160 --> 01:16:53,719
Speaker 1: petition to pause the approval of data center project until

1168
01:16:53,800 --> 01:16:58,519
Speaker 1: state leaders place more guidelines on their energy and water use.

1169
01:16:59,240 --> 01:17:04,320
Speaker 1: The petition, and created by environmental advocacy group Clean Wisconsin,

1170
01:17:04,800 --> 01:17:10,480
Speaker 1: called for policymakers to stop approving data centers powering artificial

1171
01:17:10,960 --> 01:17:16,800
Speaker 1: intelligence until the state creates quote a comprehensive plan for

1172
01:17:16,960 --> 01:17:20,719
Speaker 1: regulating the projects. The petition has collected more than twelve

1173
01:17:20,840 --> 01:17:27,920
Speaker 1: hundred signatures as of November twenty sixth. The organization says

1174
01:17:28,520 --> 01:17:31,919
Speaker 1: the petition pointed to the project's demand for large amounts

1175
01:17:31,920 --> 01:17:35,480
Speaker 1: of energy and water, which it said could negatively impact

1176
01:17:35,520 --> 01:17:39,439
Speaker 1: the environment. Clean Wisconsin says to approved data center projects

1177
01:17:39,479 --> 01:17:44,600
Speaker 1: are expected to use more electricity than all Wisconsin homes combined.

1178
01:17:45,280 --> 01:17:49,720
Speaker 1: It's the latest sign that Wisconsinites remain concerned about the

1179
01:17:49,760 --> 01:17:56,639
Speaker 1: growth of data centers. Would it surprise you to learn

1180
01:17:57,479 --> 01:18:01,880
Speaker 1: that the environmental group Clean with Jonson is not being

1181
01:18:02,160 --> 01:18:08,120
Speaker 1: totally honest about how exactly these data centers operate or

1182
01:18:08,240 --> 01:18:15,280
Speaker 1: how much water and electricity they actually use. In fact,

1183
01:18:15,800 --> 01:18:22,479
Speaker 1: the average data center uses about one point six million

1184
01:18:22,560 --> 01:18:27,120
Speaker 1: gallons of water per day. Okay, sounds like a lot,

1185
01:18:27,439 --> 01:18:32,519
Speaker 1: right until you realize that that is the equivalent of

1186
01:18:32,560 --> 01:18:38,600
Speaker 1: a medium sized golf course. So Whitnel golf Course or

1187
01:18:39,439 --> 01:18:43,480
Speaker 1: New Berlin Hills right, medium sized golf course, pretty average,

1188
01:18:44,080 --> 01:18:46,920
Speaker 1: both of those fantastic places to play. By the way,

1189
01:18:46,960 --> 01:18:50,480
Speaker 1: if you enjoy, as I do, playing public courses, obviously,

1190
01:18:50,600 --> 01:18:55,400
Speaker 1: my favorite still are friends over at morning Star, Jimmy Frucie,

1191
01:18:55,400 --> 01:18:58,040
Speaker 1: Michael Crowley. They do an excellent job. So I guess

1192
01:18:58,280 --> 01:19:02,519
Speaker 1: morning Star uses about as much water as an average

1193
01:19:02,640 --> 01:19:08,200
Speaker 1: data center That is roughly the equivalent of three thousand homes.

1194
01:19:09,600 --> 01:19:13,160
Speaker 1: How many data centers now use no water at all?

1195
01:19:14,400 --> 01:19:19,960
Speaker 1: The answer forty percent. Forty percent of data centers use

1196
01:19:20,040 --> 01:19:25,880
Speaker 1: what is known as air cooling or liquid immersion and

1197
01:19:26,120 --> 01:19:33,519
Speaker 1: direct to chip cooling. So think about your laptop, right, everybody,

1198
01:19:33,560 --> 01:19:35,599
Speaker 1: I want you to picture your laptop. Hopefully you're home

1199
01:19:35,640 --> 01:19:38,519
Speaker 1: from work by now, but if you're still slaving away

1200
01:19:38,560 --> 01:19:42,960
Speaker 1: at the kitchen table, you'll hear something go on the fan.

1201
01:19:44,320 --> 01:19:48,320
Speaker 1: It cools down the processor that powers your laptop. The

1202
01:19:48,479 --> 01:19:55,559
Speaker 1: exact same sort of idea powers and cools down data centers.

1203
01:19:56,400 --> 01:20:00,360
Speaker 1: These things get remarkably hot. This is why Wisconsin is

1204
01:20:00,520 --> 01:20:03,880
Speaker 1: such a hot spot for data centers because we have

1205
01:20:04,240 --> 01:20:09,519
Speaker 1: such a cool climate. You might have noticed we had

1206
01:20:09,640 --> 01:20:13,720
Speaker 1: quite the snowy weekend. It gets very very cooled, very

1207
01:20:13,880 --> 01:20:17,080
Speaker 1: very quickly here in Wisconsin, and that's actually great for

1208
01:20:17,200 --> 01:20:20,320
Speaker 1: data centers because they don't need to use as much

1209
01:20:20,840 --> 01:20:24,839
Speaker 1: energy to cool them off. Now, in the old days

1210
01:20:25,040 --> 01:20:29,519
Speaker 1: of data centers, which is five years ago, they would

1211
01:20:29,560 --> 01:20:33,360
Speaker 1: take fresh water. They needed a ton of fresh water.

1212
01:20:33,439 --> 01:20:37,360
Speaker 1: Saltwater obviously would corrode, so they needed a ton of

1213
01:20:37,439 --> 01:20:42,040
Speaker 1: fresh water in order to cool down the processors, in

1214
01:20:42,120 --> 01:20:46,080
Speaker 1: order to cool down the parts of the center that

1215
01:20:46,160 --> 01:20:51,880
Speaker 1: are actually doing the computing workload. Very very similar to

1216
01:20:52,000 --> 01:20:55,320
Speaker 1: your laptop. But just as you don't take a bucket

1217
01:20:55,320 --> 01:20:58,080
Speaker 1: of water and pour it on your laptop to cool

1218
01:20:58,120 --> 01:21:02,000
Speaker 1: it down. Most data centers now are being built with

1219
01:21:02,240 --> 01:21:06,439
Speaker 1: air cooling technology. Yes, this does use a bit more

1220
01:21:06,479 --> 01:21:10,840
Speaker 1: electricity or power, but most of the data centers that

1221
01:21:10,880 --> 01:21:15,720
Speaker 1: are being built right now are paying massive amounts to

1222
01:21:16,040 --> 01:21:22,160
Speaker 1: the energy companies to basically allow them to operate on

1223
01:21:22,200 --> 01:21:25,559
Speaker 1: what amounts to a separate grid than homes. You are

1224
01:21:25,560 --> 01:21:28,280
Speaker 1: not going to have rolling brownouts like they have in

1225
01:21:28,280 --> 01:21:32,519
Speaker 1: California because there's a Microsoft data center. In fact, the

1226
01:21:33,120 --> 01:21:35,840
Speaker 1: newest data centers that are going to be built, I

1227
01:21:35,840 --> 01:21:41,320
Speaker 1: am absolutely convinced small scale nuclear power is going to

1228
01:21:41,360 --> 01:21:47,519
Speaker 1: be an explosive growth opportunity for investment and for jobs

1229
01:21:48,000 --> 01:21:51,240
Speaker 1: because what we're going to need is a way to power.

1230
01:21:51,280 --> 01:21:55,439
Speaker 1: So the grid does have a finite capacity. You can't

1231
01:21:55,479 --> 01:21:59,280
Speaker 1: just put fifty five new data centers in the exact

1232
01:21:59,320 --> 01:22:03,439
Speaker 1: same spot, operating off the exact same grid and expect

1233
01:22:03,439 --> 01:22:07,400
Speaker 1: there not to be any sort of interruption or problem

1234
01:22:07,439 --> 01:22:14,040
Speaker 1: with power delivery to the broader customer base. This is

1235
01:22:14,160 --> 01:22:20,080
Speaker 1: why companies like Meta, companies like Microsoft, companies like Amazon

1236
01:22:21,400 --> 01:22:27,200
Speaker 1: are essentially investing in their own power grids. This isn't

1237
01:22:27,240 --> 01:22:31,160
Speaker 1: a fly by night data company that is just going

1238
01:22:31,200 --> 01:22:32,400
Speaker 1: to I don't know what they think it's going to

1239
01:22:32,439 --> 01:22:36,479
Speaker 1: be like stealing cable back in the day where they're

1240
01:22:36,560 --> 01:22:40,000
Speaker 1: running their own line, that's siphoning off power from the

1241
01:22:40,040 --> 01:22:44,519
Speaker 1: old Johnson farm. Now it doesn't work like that. These

1242
01:22:44,560 --> 01:22:49,719
Speaker 1: are massive, multi, multi, multi, multi billion dollar companies whose

1243
01:22:49,920 --> 01:22:55,840
Speaker 1: entire existence is predicated on high tech solutions to problems

1244
01:22:55,960 --> 01:23:00,160
Speaker 1: that the world doesn't even know that it has, or

1245
01:23:00,160 --> 01:23:02,680
Speaker 1: to create products that the world doesn't even know that

1246
01:23:02,760 --> 01:23:07,639
Speaker 1: it needs, and to power the next generation of human evolution.

1247
01:23:07,840 --> 01:23:14,880
Speaker 1: And folks, data centers are powering more than just cloud computing.

1248
01:23:15,479 --> 01:23:21,120
Speaker 1: They are powering the next generation of human advancement. If

1249
01:23:21,160 --> 01:23:24,280
Speaker 1: we don't have data centers here, and I'm not saying

1250
01:23:24,320 --> 01:23:27,560
Speaker 1: we need to have fifty thousand of them in Wisconsin

1251
01:23:27,600 --> 01:23:35,200
Speaker 1: to just transform agriculture zoned land into massive data center projects,

1252
01:23:35,240 --> 01:23:38,320
Speaker 1: but if we don't have them in the United States somewhere,

1253
01:23:40,120 --> 01:23:43,880
Speaker 1: I'm actually a big believer that in the untamed wilderness

1254
01:23:44,000 --> 01:23:46,960
Speaker 1: of Alaska that would be a fantastic Do you have

1255
01:23:47,040 --> 01:23:55,599
Speaker 1: any idea how massive Alaska is? It is impossibly, unfathomably large.

1256
01:23:56,320 --> 01:23:58,880
Speaker 1: It is as big as something like a quarter of

1257
01:23:58,920 --> 01:24:02,040
Speaker 1: the continental United States. That's how big this state is.

1258
01:24:02,640 --> 01:24:06,320
Speaker 1: And hey, what do you know there's about a million

1259
01:24:06,520 --> 01:24:10,400
Speaker 1: lakes and huge sources of fresh water in Alaska, and

1260
01:24:10,439 --> 01:24:12,400
Speaker 1: it happens to have the perfect temperature. I believe a

1261
01:24:12,439 --> 01:24:14,400
Speaker 1: lot of our data centers should be going there. But

1262
01:24:15,520 --> 01:24:19,240
Speaker 1: to broaden the tax base here in Wisconsin, I think

1263
01:24:19,280 --> 01:24:21,920
Speaker 1: this is not a bat now. One of the big things.

1264
01:24:21,920 --> 01:24:25,760
Speaker 1: You also need a lot of flat land, which Alaska

1265
01:24:25,880 --> 01:24:28,720
Speaker 1: doesn't necessarily have. It's a very mountainous state, and you'd

1266
01:24:28,760 --> 01:24:30,920
Speaker 1: have to clear out a whole lot of forest land,

1267
01:24:31,280 --> 01:24:35,080
Speaker 1: which is why the migreat Alaska idea is probably not

1268
01:24:35,200 --> 01:24:39,240
Speaker 1: going anywhere. Also, it's just very difficult to get people

1269
01:24:39,479 --> 01:24:43,640
Speaker 1: and parts and everything else into Alaska. Well, Wisconsin is

1270
01:24:43,680 --> 01:24:47,920
Speaker 1: perfect because a you are very close to two major

1271
01:24:48,040 --> 01:24:52,639
Speaker 1: international airports three if you count Midway I guess does

1272
01:24:52,680 --> 01:24:56,280
Speaker 1: some international flights, but O'Hare and Mitchell International. You can

1273
01:24:56,360 --> 01:25:02,120
Speaker 1: get stuff, people, whatever in out quickly. Wisconsin is perfect

1274
01:25:02,120 --> 01:25:06,080
Speaker 1: because you don't have the massive tax burden of Illinois,

1275
01:25:08,240 --> 01:25:11,160
Speaker 1: and you have a lot of flat land that's very

1276
01:25:11,200 --> 01:25:15,559
Speaker 1: close to a huge source of fresh water in Lake Michigan.

1277
01:25:15,680 --> 01:25:18,439
Speaker 1: Even though we probably don't need a whole lot of

1278
01:25:18,479 --> 01:25:26,400
Speaker 1: fresh water. So not only are these not taking nearly

1279
01:25:26,439 --> 01:25:31,560
Speaker 1: as much electricity as the doomsayers are saying, they're not

1280
01:25:32,000 --> 01:25:34,760
Speaker 1: taking nearly as much water, and in fact, most of

1281
01:25:34,800 --> 01:25:40,880
Speaker 1: them are not even requiring water. They're not taking the

1282
01:25:41,040 --> 01:25:50,040
Speaker 1: pristine wilderness away from Wisconsin. Data centers currently occupy about

1283
01:25:50,360 --> 01:25:55,640
Speaker 1: zero point zero two percent of all commercial land in

1284
01:25:55,680 --> 01:26:03,360
Speaker 1: the United States. One hundred acre campus generates about two

1285
01:26:03,439 --> 01:26:07,439
Speaker 1: billion dollars in revenue and can employ upwards of one

1286
01:26:07,520 --> 01:26:11,799
Speaker 1: thousand people. And most of these are not being built

1287
01:26:12,439 --> 01:26:16,080
Speaker 1: just randomly in the middle of nowhere on some farmland.

1288
01:26:16,439 --> 01:26:20,400
Speaker 1: They're being built in existing industrial parks, which is why

1289
01:26:20,479 --> 01:26:24,640
Speaker 1: the fox Con campus is such a perfect spot for it.

1290
01:26:24,640 --> 01:26:29,439
Speaker 1: It's just sort of expanding racine in Kenosha Counties and

1291
01:26:29,479 --> 01:26:33,960
Speaker 1: can lead to massive economic development for those areas for

1292
01:26:34,120 --> 01:26:36,280
Speaker 1: people who don't want to live and don't want to

1293
01:26:36,280 --> 01:26:41,559
Speaker 1: do business in Illinois. The other thing that I have

1294
01:26:41,760 --> 01:26:45,760
Speaker 1: heard that is a common complaint about them is that

1295
01:26:45,920 --> 01:26:52,800
Speaker 1: they are very noisy. Most are actually about lower than

1296
01:26:53,040 --> 01:26:57,599
Speaker 1: sixty decibels at the property line. That's quieter than a highway.

1297
01:26:58,560 --> 01:27:04,000
Speaker 1: By way of comparison, we clocked the Rock Complex, do

1298
01:27:04,000 --> 01:27:08,000
Speaker 1: you remember the noise complaints about that in Franklin. We

1299
01:27:08,080 --> 01:27:11,479
Speaker 1: clocked it at something like eighty some decibels at one

1300
01:27:11,520 --> 01:27:15,800
Speaker 1: point during their Big Wrap Tequila and Taco's Festival or

1301
01:27:15,800 --> 01:27:18,360
Speaker 1: whatever it was a year or two ago when we

1302
01:27:18,360 --> 01:27:23,280
Speaker 1: were reporting extensively on that data centers are much quieter.

1303
01:27:25,280 --> 01:27:30,480
Speaker 1: All of the concerns therefore that relate to the environment

1304
01:27:31,280 --> 01:27:35,439
Speaker 1: are just dramatically overblown. Now, I'm not saying a chicken

1305
01:27:35,479 --> 01:27:38,639
Speaker 1: in every pot and a data center on every block,

1306
01:27:38,880 --> 01:27:45,839
Speaker 1: rather obviously, but this reflexive, knee jerk opposition to data

1307
01:27:45,840 --> 01:27:50,160
Speaker 1: centers anywhere in our state, coming from, interestingly enough, the

1308
01:27:50,240 --> 01:27:55,760
Speaker 1: extreme environmental left, and I believe a substantial number of

1309
01:27:55,880 --> 01:28:00,519
Speaker 1: people on the political right, is actually rather remark I'll

1310
01:28:00,520 --> 01:28:03,880
Speaker 1: tell you what, though I have had my say, let's

1311
01:28:04,000 --> 01:28:06,400
Speaker 1: open it up. I told you weeks ago when we

1312
01:28:06,520 --> 01:28:10,160
Speaker 1: first broached this subject, that we would be discussing data

1313
01:28:10,200 --> 01:28:13,960
Speaker 1: centers again. Let's take some calls, shall we, four one, four, seven,

1314
01:28:14,080 --> 01:28:16,479
Speaker 1: nine to nine eleven thirty or one eight hundred eight

1315
01:28:16,560 --> 01:28:19,960
Speaker 1: three eight, nine, four seven six, your phone calls, your

1316
01:28:20,000 --> 01:28:23,000
Speaker 1: text next here on the dan o'donald, great data center

1317
01:28:23,080 --> 01:28:27,040
Speaker 1: debate is one that Wisconsin is probably going to be

1318
01:28:27,200 --> 01:28:30,880
Speaker 1: having for the next decade or so. Folks, We're not

1319
01:28:30,920 --> 01:28:33,880
Speaker 1: going to have fewer data centers in this world. We

1320
01:28:33,920 --> 01:28:38,840
Speaker 1: are going to have way, way, way more. But do

1321
01:28:38,920 --> 01:28:45,040
Speaker 1: we want them in Wisconsin? Is this a case of nimbiism,

1322
01:28:45,080 --> 01:28:49,280
Speaker 1: I eat not in my backyard or are there legitimate

1323
01:28:49,360 --> 01:28:54,360
Speaker 1: complaints about data centers going up in southeast Wisconsin. We

1324
01:28:54,520 --> 01:28:57,719
Speaker 1: start out is we take some phone calls with Matt

1325
01:28:57,760 --> 01:29:00,200
Speaker 1: in wind Lake. Matt, Merry Christmas, to you come to

1326
01:29:00,240 --> 01:29:01,439
Speaker 1: the Dan O'Donnell show.

1327
01:29:02,400 --> 01:29:05,320
Speaker 14: Mary Christmas. Thanks for all the great hard work you do.

1328
01:29:05,760 --> 01:29:06,080
Speaker 1: Thank you.

1329
01:29:06,479 --> 01:29:08,800
Speaker 14: I think personally I don't live near one, but I

1330
01:29:08,840 --> 01:29:11,360
Speaker 14: think it's a matter of like who lives there. Like

1331
01:29:11,360 --> 01:29:14,559
Speaker 14: once we move somewhere and buys a house, nobody signs

1332
01:29:14,640 --> 01:29:17,240
Speaker 14: up for wanting like a rifle range or a train

1333
01:29:17,320 --> 01:29:19,760
Speaker 14: track or something going through the community. So well, I

1334
01:29:19,760 --> 01:29:21,960
Speaker 14: don't know everybody feels about it. If those are the

1335
01:29:21,960 --> 01:29:24,800
Speaker 14: taxpayers and the voters in that general area, I can

1336
01:29:24,800 --> 01:29:27,880
Speaker 14: see where they don't want the rural landscape or the

1337
01:29:27,880 --> 01:29:30,880
Speaker 14: peaceful quiet, you know, nature of their communities to ever

1338
01:29:30,920 --> 01:29:34,200
Speaker 14: be changed by the volume of traffic and contractors and

1339
01:29:34,240 --> 01:29:37,679
Speaker 14: things are going on there. Aside from obviously the water

1340
01:29:37,800 --> 01:29:41,560
Speaker 14: environmental issues changing the peaceless where they live. Development is

1341
01:29:41,560 --> 01:29:44,960
Speaker 14: always a tough area to have for community growth and

1342
01:29:45,040 --> 01:29:48,559
Speaker 14: expansion and good the greater good for the community balance

1343
01:29:48,600 --> 01:29:52,360
Speaker 14: with the rights and their appreciations and the wishes of

1344
01:29:52,400 --> 01:29:55,000
Speaker 14: the folks that bought houses there. So it's definitely a

1345
01:29:55,000 --> 01:29:56,800
Speaker 14: delicate area. But you aren't going to find a lot

1346
01:29:56,800 --> 01:29:59,519
Speaker 14: of folks that move somewhere and say, bring this development

1347
01:29:59,560 --> 01:30:02,040
Speaker 14: to why I'd like to have this here. That's a

1348
01:30:02,120 --> 01:30:04,040
Speaker 14: very small number of people that probably move there and

1349
01:30:04,080 --> 01:30:05,439
Speaker 14: want them and support that.

1350
01:30:05,640 --> 01:30:09,479
Speaker 1: Well, nobody and that is that is that is actual nimbi,

1351
01:30:09,600 --> 01:30:14,080
Speaker 1: which I would completely agree with. I actually built a

1352
01:30:14,120 --> 01:30:17,960
Speaker 1: house on a protected wetland for that exact reason because

1353
01:30:17,960 --> 01:30:21,000
Speaker 1: nothing legally can ever go up behind me. So I'm

1354
01:30:21,040 --> 01:30:24,519
Speaker 1: completely sympathetic to that. But I guess Matt that that's

1355
01:30:24,760 --> 01:30:29,440
Speaker 1: one of the sort of misconceptions about data center construction.

1356
01:30:30,200 --> 01:30:32,960
Speaker 1: The people who are in the companies that are putting

1357
01:30:33,000 --> 01:30:39,840
Speaker 1: these up, they are prioritizing existing industrial areas and basically

1358
01:30:39,960 --> 01:30:44,200
Speaker 1: brown field redevelopment, and that is just areas that are

1359
01:30:44,439 --> 01:30:48,599
Speaker 1: are not being used for anything. So there's a difference

1360
01:30:48,640 --> 01:30:54,680
Speaker 1: between greenfield development, which means an active farm or forest

1361
01:30:54,960 --> 01:30:58,559
Speaker 1: or just you know, some sort of pristine wilderness for

1362
01:30:58,640 --> 01:31:02,560
Speaker 1: a whole host of logistical reasons. You wouldn't want to

1363
01:31:02,600 --> 01:31:05,559
Speaker 1: put a data center there anyway, not the least of

1364
01:31:05,600 --> 01:31:08,760
Speaker 1: which being, Okay, well, it's just it's gonna take way

1365
01:31:08,800 --> 01:31:11,720
Speaker 1: more to construct roads. It's gonna cost way more to

1366
01:31:12,560 --> 01:31:15,879
Speaker 1: just get things from point A to point B. People,

1367
01:31:16,000 --> 01:31:19,280
Speaker 1: construction materials, that sort of thing. So they're going in

1368
01:31:19,360 --> 01:31:23,559
Speaker 1: in existing industrial areas. Now I'm not gonna lie. They

1369
01:31:23,640 --> 01:31:26,760
Speaker 1: do need a lot of space. Okay, they need a

1370
01:31:26,920 --> 01:31:30,679
Speaker 1: ton of space, but it's much more likely to go

1371
01:31:31,479 --> 01:31:36,680
Speaker 1: near an Amazon fulfillment center than it is into the

1372
01:31:36,680 --> 01:31:40,599
Speaker 1: woods behind your house. But that is a legitimate concern.

1373
01:31:40,760 --> 01:31:42,960
Speaker 1: And this is why please don't even though I use

1374
01:31:43,000 --> 01:31:46,280
Speaker 1: the word nimby or the acronym nimbi, I'm not saying

1375
01:31:46,280 --> 01:31:50,120
Speaker 1: that those aren't legitimate concerns. Because you want to keep

1376
01:31:50,160 --> 01:31:53,760
Speaker 1: the distinct character of a community. That is a legitimate

1377
01:31:53,800 --> 01:31:59,160
Speaker 1: and that is a very powerful argument against them. But

1378
01:31:59,200 --> 01:32:04,080
Speaker 1: if you've already industry, whether it's heavy industry manufacturing and

1379
01:32:04,120 --> 01:32:08,760
Speaker 1: so forth, or whether you've got say digital industry or

1380
01:32:09,400 --> 01:32:13,800
Speaker 1: a business park for example, so you've got you know,

1381
01:32:14,040 --> 01:32:16,760
Speaker 1: just any number of warehouses or so there's a big

1382
01:32:16,800 --> 01:32:20,599
Speaker 1: area in Oak Creek. New Berlin has a pretty substantial

1383
01:32:20,640 --> 01:32:24,400
Speaker 1: business for pretty much every community. Well, what is the

1384
01:32:24,520 --> 01:32:29,040
Speaker 1: difference if there's another business that's going up that just

1385
01:32:29,120 --> 01:32:32,000
Speaker 1: happens to be a data center. Let's go to Tom

1386
01:32:32,240 --> 01:32:34,880
Speaker 1: in Janesville. Up next on the Dan O'donnald Show is

1387
01:32:34,920 --> 01:32:36,400
Speaker 1: going on Tom Merry Christmas.

1388
01:32:36,680 --> 01:32:37,719
Speaker 14: Hey, how you doing.

1389
01:32:38,360 --> 01:32:41,680
Speaker 3: Hey, good to talk to you. Janesville is proposing a

1390
01:32:41,840 --> 01:32:45,080
Speaker 3: data center here and it's going to the proposing a

1391
01:32:45,160 --> 01:32:48,400
Speaker 3: site that's already industrial. It's called the General Motors Jamesville

1392
01:32:48,439 --> 01:32:51,559
Speaker 3: Assembly Plant. Yeah, that has been well, how long ago

1393
01:32:51,680 --> 01:32:51,920
Speaker 3: is that?

1394
01:32:53,240 --> 01:32:55,360
Speaker 1: Yeah? I was gonna say three decades minimum.

1395
01:32:56,280 --> 01:33:00,280
Speaker 3: It's it's already got a lot of groundwork is going

1396
01:33:00,320 --> 01:33:02,240
Speaker 3: to have to be done. But at least it's in

1397
01:33:02,280 --> 01:33:05,320
Speaker 3: a spot where there was a plant already that wasn't

1398
01:33:05,360 --> 01:33:08,000
Speaker 3: bothering anybody, and hey, let's go for it.

1399
01:33:08,400 --> 01:33:11,040
Speaker 1: And that's kind of in terms of what oh, yeah, sorry,

1400
01:33:11,000 --> 01:33:12,000
Speaker 1: I didn't mean it. Go ahead.

1401
01:33:12,120 --> 01:33:15,920
Speaker 3: The water usage. Kay's will already pump thirty two million

1402
01:33:15,960 --> 01:33:19,479
Speaker 3: gallons a day the residences. Yeah, and if you add

1403
01:33:19,520 --> 01:33:21,680
Speaker 3: another million gallons a day, you know how much that is?

1404
01:33:21,760 --> 01:33:22,960
Speaker 14: How much a million gallons a.

1405
01:33:23,000 --> 01:33:24,639
Speaker 1: Day is practically not a million.

1406
01:33:24,680 --> 01:33:28,080
Speaker 3: By twenty four divide depth seven hundred gallons a minute.

1407
01:33:28,320 --> 01:33:31,840
Speaker 3: That's a medium sized tent or fifteen horsepower pump will

1408
01:33:31,880 --> 01:33:34,680
Speaker 3: get you seven hundred gallons of gallons a minute, and

1409
01:33:35,320 --> 01:33:36,200
Speaker 3: in terms of a million.

1410
01:33:36,680 --> 01:33:38,640
Speaker 1: And I'm sorry, I'm sorry to interrupt again, Tom, but

1411
01:33:39,160 --> 01:33:42,400
Speaker 1: the data centers that are going up now, the vast

1412
01:33:42,479 --> 01:33:45,920
Speaker 1: majority of them are not meeting the amount of water

1413
01:33:46,040 --> 01:33:47,559
Speaker 1: that existing data centers.

1414
01:33:47,560 --> 01:33:50,400
Speaker 3: Sure, they're looking for air cool condensers.

1415
01:33:50,479 --> 01:33:53,720
Speaker 1: Yeah, look, yep, yep, exactly. You seem very knowledgeable about this,

1416
01:33:53,840 --> 01:33:55,599
Speaker 1: Tom Well.

1417
01:33:55,680 --> 01:33:58,800
Speaker 3: I was taught a long, long conversation with one of

1418
01:33:58,800 --> 01:34:01,559
Speaker 3: our city councilmen about it, and he filled me in

1419
01:34:01,600 --> 01:34:04,599
Speaker 3: a little bit about the water usage at the city

1420
01:34:04,720 --> 01:34:10,320
Speaker 3: uses plus the site. And I'm not a high tech guy,

1421
01:34:10,360 --> 01:34:13,400
Speaker 3: but I'm certainly don't want the rich Chinese to take

1422
01:34:13,439 --> 01:34:14,800
Speaker 3: over data centers.

1423
01:34:14,439 --> 01:34:17,800
Speaker 1: Well, and that, like, do you think they have anywhere

1424
01:34:17,840 --> 01:34:21,920
Speaker 1: near the same concern about the environment or what they're

1425
01:34:21,960 --> 01:34:25,479
Speaker 1: putting next to people's houses? Of course they don't. And

1426
01:34:25,720 --> 01:34:29,840
Speaker 1: we can either keep the value like literally some of

1427
01:34:29,880 --> 01:34:35,520
Speaker 1: the most valuable stuff that we have, the data about ourselves,

1428
01:34:35,680 --> 01:34:38,960
Speaker 1: about the United States of America. I mean, this is

1429
01:34:39,000 --> 01:34:42,960
Speaker 1: what this stuff is powering. Like, where do you think

1430
01:34:43,720 --> 01:34:49,120
Speaker 1: what you're doing on say, Amazon's cloud is actually physically stored.

1431
01:34:50,040 --> 01:34:52,880
Speaker 1: It's at these data centers. I mean, Kamala Harris rather

1432
01:34:52,920 --> 01:34:55,559
Speaker 1: infamously said, well, it goes up there into the cloud. No. No,

1433
01:34:55,640 --> 01:35:00,000
Speaker 1: it doesn't go into a physical cloud. Vice President Harris

1434
01:35:00,120 --> 01:35:03,720
Speaker 1: goes into a data center which stores it and then

1435
01:35:03,880 --> 01:35:08,439
Speaker 1: sort of spreads through all of the various machines that

1436
01:35:08,680 --> 01:35:13,639
Speaker 1: access that data center central point. It spreads the data

1437
01:35:13,680 --> 01:35:22,000
Speaker 1: and connects various different points of access. Let's go to

1438
01:35:22,439 --> 01:35:25,519
Speaker 1: Chris in Muschigo. Chris, you're on the Dan O'Donnell show.

1439
01:35:25,560 --> 01:35:26,960
Speaker 1: How you doing, sir? And Merry Christmas?

1440
01:35:28,040 --> 01:35:30,240
Speaker 6: Merry Christmas to you, Dan, How are you wonderful?

1441
01:35:30,280 --> 01:35:30,840
Speaker 1: What's going on?

1442
01:35:31,920 --> 01:35:32,160
Speaker 5: Good?

1443
01:35:32,240 --> 01:35:34,439
Speaker 6: Well, I've been doing this for almost twenty years. I

1444
01:35:34,479 --> 01:35:37,799
Speaker 6: did this for six years. I'm a network engineer by trade.

1445
01:35:37,840 --> 01:35:40,719
Speaker 6: There's a lot of misinformation going out there. I basically

1446
01:35:40,800 --> 01:35:44,280
Speaker 6: keep hearing people talk about a quote unquote giant drinking

1447
01:35:44,360 --> 01:35:46,280
Speaker 6: straw that's going to drain Lake Michigan.

1448
01:35:46,560 --> 01:35:51,040
Speaker 1: Yes, dude, this goes back, This goes back to Fox Con.

1449
01:35:51,400 --> 01:35:53,960
Speaker 1: Do you remember when the lefties were saying that about

1450
01:35:54,000 --> 01:35:55,479
Speaker 1: the fox con plant.

1451
01:35:56,439 --> 01:35:59,960
Speaker 6: Oh yeah, and the average wisconsinite or Milwaukee and does

1452
01:36:00,280 --> 01:36:03,120
Speaker 6: realize how many data centers there actually are, even a

1453
01:36:03,200 --> 01:36:06,040
Speaker 6: medium sized business as a quote unquote data center. Yeah,

1454
01:36:06,040 --> 01:36:09,800
Speaker 6: but these people are referring to are these massive data

1455
01:36:09,840 --> 01:36:13,639
Speaker 6: centers run by the likes of Amazon, Google, Digital Ocean,

1456
01:36:13,800 --> 01:36:17,320
Speaker 6: Vulture stuff like that that I haven't heard of any

1457
01:36:17,360 --> 01:36:19,880
Speaker 6: of those types of data centers coming up in Wisconsin.

1458
01:36:19,960 --> 01:36:22,320
Speaker 6: Those may need to be water cooled, But like the

1459
01:36:22,400 --> 01:36:26,000
Speaker 6: gentleman before me, he said, it's mostly just condensed there.

1460
01:36:26,040 --> 01:36:26,840
Speaker 6: It's mostly just.

1461
01:36:27,640 --> 01:36:32,679
Speaker 1: Yeah, it's basically like imagine a giant condensed air canister

1462
01:36:32,920 --> 01:36:36,800
Speaker 1: that you use to clean your laptop keyboard. That's that's

1463
01:36:36,880 --> 01:36:40,679
Speaker 1: sort of that's sort of what you're seeing. And I'm

1464
01:36:40,720 --> 01:36:43,840
Speaker 1: glad that you are seeing the same thing I am

1465
01:36:43,880 --> 01:36:48,040
Speaker 1: in your industry, Chris, that it's just it's a staggering

1466
01:36:48,080 --> 01:36:52,120
Speaker 1: amount of misinformation. Although I shouldn't be super surprised, none

1467
01:36:52,160 --> 01:36:55,160
Speaker 1: of us should. That A lot of this misinformation is

1468
01:36:55,200 --> 01:36:59,200
Speaker 1: coming from Clean Wisconsin and the environmental crowd, which is

1469
01:36:59,240 --> 01:37:02,839
Speaker 1: sort of made a career out of just scaring people

1470
01:37:02,960 --> 01:37:07,840
Speaker 1: with you know, apocalyptic scenarios that are never ever ever

1471
01:37:08,000 --> 01:37:11,559
Speaker 1: going to be supported by the actual hard science or

1472
01:37:11,640 --> 01:37:14,760
Speaker 1: the actual data on the ground. I think we've got

1473
01:37:14,760 --> 01:37:19,439
Speaker 1: time for one or two calls. Let's go to Joyce

1474
01:37:19,680 --> 01:37:22,679
Speaker 1: listening to us in Milwaukee. You're on the Dan o'donald Show.

1475
01:37:22,680 --> 01:37:24,040
Speaker 1: Merry Christmas, Joyce.

1476
01:37:25,000 --> 01:37:29,000
Speaker 15: Thank you, Thanks to you. I have a question, and

1477
01:37:29,400 --> 01:37:33,480
Speaker 15: you were referring to the amount of water usage incomparable

1478
01:37:33,560 --> 01:37:36,840
Speaker 15: to that used by a golf course. Yes, and so,

1479
01:37:38,080 --> 01:37:41,040
Speaker 15: I mean I'm not necessarily for or against it. But

1480
01:37:41,080 --> 01:37:44,680
Speaker 15: what I'd like to know is that water usage per

1481
01:37:44,720 --> 01:37:47,080
Speaker 15: day over the course of the year, or is that

1482
01:37:47,600 --> 01:37:51,040
Speaker 15: water usage, you know, for three months of the year.

1483
01:37:51,160 --> 01:37:53,720
Speaker 15: So in fact, it'd be four times as much.

1484
01:37:53,800 --> 01:37:56,560
Speaker 1: Well it is on an annual basis, as I understand

1485
01:37:56,640 --> 01:37:59,840
Speaker 1: the statistics, because water, you know, obviously you're not you're

1486
01:37:59,880 --> 01:38:02,519
Speaker 1: not watering your golf course. Now it's buried under a

1487
01:38:02,520 --> 01:38:07,280
Speaker 1: foot of snow. It is in that three month span.

1488
01:38:07,880 --> 01:38:11,519
Speaker 1: Golf courses use so much water. Actually it's probably closer

1489
01:38:11,560 --> 01:38:15,040
Speaker 1: to about six seven months. I think most of them

1490
01:38:15,160 --> 01:38:18,519
Speaker 1: are open. They are using so much water. There's a

1491
01:38:18,560 --> 01:38:22,080
Speaker 1: reason we call them greens, Joyce, and not browns. It's

1492
01:38:22,200 --> 01:38:29,200
Speaker 1: because they require so much water every single day. And

1493
01:38:29,320 --> 01:38:32,400
Speaker 1: the reality is is that most of the data centers

1494
01:38:32,400 --> 01:38:36,920
Speaker 1: being constructed now aren't using any water at all to

1495
01:38:37,160 --> 01:38:40,400
Speaker 1: cool the processors they're using.

1496
01:38:40,680 --> 01:38:45,400
Speaker 15: There are a lot of golf courses, yes, there.

1497
01:38:45,280 --> 01:38:49,840
Speaker 1: Are, yes, and they are a huge, huge suck on

1498
01:38:49,960 --> 01:38:52,880
Speaker 1: the water supply. But the reality is water is a

1499
01:38:52,960 --> 01:38:57,040
Speaker 1: renewable resource. Right. We're constantly talking about the need to

1500
01:38:57,120 --> 01:39:00,639
Speaker 1: rely on renewable resources like wind and so and water

1501
01:39:00,720 --> 01:39:04,960
Speaker 1: and all of this meaning water literally falls from the sky.

1502
01:39:05,960 --> 01:39:10,880
Speaker 1: God provides us with a nearly limitless amount of water

1503
01:39:11,120 --> 01:39:14,360
Speaker 1: that we are never no matter how much water we use,

1504
01:39:14,800 --> 01:39:18,439
Speaker 1: we are never going to drain Lake Michigan. And I

1505
01:39:18,520 --> 01:39:22,360
Speaker 1: remember stories popping up about Lake Michigan water levels and

1506
01:39:22,720 --> 01:39:26,080
Speaker 1: all of this. It is a naturally occurring phenomenon. Water

1507
01:39:26,160 --> 01:39:29,200
Speaker 1: levels rise, water levels fall. It's dependent on a number

1508
01:39:29,280 --> 01:39:34,320
Speaker 1: of factors, precipitation, I believe, chief among them. And it

1509
01:39:35,200 --> 01:39:39,120
Speaker 1: is not Joyce going to be all that big of

1510
01:39:39,160 --> 01:39:41,680
Speaker 1: a deal. We're not even going to be needing that

1511
01:39:41,840 --> 01:39:44,240
Speaker 1: much water. It's going to be air cooling. We are

1512
01:39:44,360 --> 01:39:49,400
Speaker 1: using wind power, I guess to power and frankly, while

1513
01:39:49,439 --> 01:39:54,760
Speaker 1: I am generally in favor of the idea of America

1514
01:39:54,800 --> 01:40:01,200
Speaker 1: and Wisconsin specifically being a technology leader and lead into

1515
01:40:01,520 --> 01:40:05,840
Speaker 1: the infrastructure that is going to power humanity into its

1516
01:40:06,479 --> 01:40:11,120
Speaker 1: next golden age of prosperity or potentially a terminator or

1517
01:40:11,240 --> 01:40:15,360
Speaker 1: matrix style apocalypse. But hey, I'm willing to roll those dice.

1518
01:40:16,080 --> 01:40:18,920
Speaker 1: I'm kidding. We are not going to have a matrix

1519
01:40:19,040 --> 01:40:23,680
Speaker 1: or terminator style apocalypse, at least not in our lifetimes.

1520
01:40:24,200 --> 01:40:30,639
Speaker 1: And the idea that somehow artificial intelligence is not going

1521
01:40:30,720 --> 01:40:34,479
Speaker 1: to be more akin to the Industrial Revolution than it

1522
01:40:34,640 --> 01:40:38,120
Speaker 1: was to the Digital Revolution, I think is whistling past

1523
01:40:38,160 --> 01:40:43,920
Speaker 1: the proverbial graveyard here. It is already changing literally everything

1524
01:40:44,200 --> 01:40:48,280
Speaker 1: we do, whether or not we realize it yet. Time

1525
01:40:48,320 --> 01:40:50,600
Speaker 1: for one more phone call before we've got to go

1526
01:40:50,640 --> 01:40:53,559
Speaker 1: to break and it will be Tom in Oh Creek. Tom,

1527
01:40:53,600 --> 01:40:54,920
Speaker 1: you're on the Dan O'donnald show.

1528
01:40:55,840 --> 01:40:58,400
Speaker 5: Hey, Dan Is anotherment, if they were discussing, is when

1529
01:40:58,400 --> 01:41:02,479
Speaker 5: they build these data centers, they're gonna have nuclear little

1530
01:41:02,560 --> 01:41:05,040
Speaker 5: miniature nuclear power plants on site.

1531
01:41:05,240 --> 01:41:05,479
Speaker 1: Yep.

1532
01:41:05,600 --> 01:41:09,080
Speaker 5: Now, the benefit of the community is that they're not

1533
01:41:09,120 --> 01:41:13,400
Speaker 5: gonna build these these nuclear power plants uh to what

1534
01:41:13,479 --> 01:41:16,720
Speaker 5: they actually need in usage. They gonna build them ten

1535
01:41:16,840 --> 01:41:19,800
Speaker 5: or twenty fold. All that energy is gonna be gonna

1536
01:41:19,840 --> 01:41:22,920
Speaker 5: be either sold at a discount or for free back

1537
01:41:22,960 --> 01:41:24,120
Speaker 5: to the community that they're in.

1538
01:41:24,400 --> 01:41:28,040
Speaker 1: That is exactly it. Tom. I'm glad you brought up

1539
01:41:28,040 --> 01:41:30,960
Speaker 1: that point because it completely slipped my mind. Yeah. I

1540
01:41:31,320 --> 01:41:35,120
Speaker 1: was actually talking about small scale nuclear before the break

1541
01:41:35,200 --> 01:41:38,680
Speaker 1: and how that is likely going to be what's driving

1542
01:41:39,120 --> 01:41:42,760
Speaker 1: what's powering the the growth of data centers and just

1543
01:41:42,880 --> 01:41:45,679
Speaker 1: making them feasible on the scale that we're gonna need.

1544
01:41:46,200 --> 01:41:49,280
Speaker 1: But you're right, because they're gonna.

1545
01:41:48,760 --> 01:41:52,160
Speaker 5: Well, go ahead, but they're not gonna build them at

1546
01:41:52,200 --> 01:41:54,439
Speaker 5: what they need is us. They're gonna build them ten,

1547
01:41:54,800 --> 01:41:58,040
Speaker 5: ten or twenty or thirtyfold, and that energy that they're

1548
01:41:58,040 --> 01:42:00,120
Speaker 5: can produce, they're just gonna.

1549
01:41:59,880 --> 01:42:06,280
Speaker 1: Say, because why why would you just use Why would

1550
01:42:06,320 --> 01:42:09,400
Speaker 1: you just get the energy that you need? When to

1551
01:42:09,720 --> 01:42:14,439
Speaker 1: sweeten the deal for a skeptical community, you say, okay,

1552
01:42:14,640 --> 01:42:17,320
Speaker 1: well we've got all this power, We've got more power

1553
01:42:17,360 --> 01:42:19,400
Speaker 1: than we could possibly need because we can we can

1554
01:42:19,680 --> 01:42:22,680
Speaker 1: use it through nuclear reaction, right, we can. We can

1555
01:42:22,800 --> 01:42:28,719
Speaker 1: generate our own power almost add infinitum using nuclear fission,

1556
01:42:28,760 --> 01:42:32,840
Speaker 1: nuclear fusion, and in order to give it to a

1557
01:42:33,520 --> 01:42:36,800
Speaker 1: in order to get what we need done, i e.

1558
01:42:36,960 --> 01:42:41,519
Speaker 1: The data center to be built, we will actually either

1559
01:42:41,760 --> 01:42:45,040
Speaker 1: sell it to you the community. We're going to build

1560
01:42:45,080 --> 01:42:49,040
Speaker 1: it in oh Creek for example, Tom or whatever community

1561
01:42:49,080 --> 01:42:52,080
Speaker 1: to say, Okay, hey, why do you need to be

1562
01:42:52,200 --> 01:42:58,280
Speaker 1: dependent upon we energies. You vote for this this Facebook

1563
01:42:58,400 --> 01:43:03,599
Speaker 1: meta data center here, and we will provide the entire

1564
01:43:03,800 --> 01:43:10,040
Speaker 1: community's energy for free. Sounds like a pretty good deal, right.

1565
01:43:11,280 --> 01:43:17,120
Speaker 1: The data that Facebook or Amazon or whomever is clearly

1566
01:43:17,240 --> 01:43:20,320
Speaker 1: worth more than the price they would pay. The ability

1567
01:43:20,439 --> 01:43:24,240
Speaker 1: to do what they need to do is going to

1568
01:43:24,280 --> 01:43:26,920
Speaker 1: be worth so much more than what it would cost

1569
01:43:27,040 --> 01:43:31,960
Speaker 1: to even power an entire city where the data center is.

1570
01:43:33,040 --> 01:43:33,120
Speaker 8: That.

1571
01:43:33,240 --> 01:43:36,160
Speaker 1: I think you're going to start to see that, provided,

1572
01:43:36,280 --> 01:43:40,880
Speaker 1: of course, that small scale nuclear on a large enough

1573
01:43:41,080 --> 01:43:44,960
Speaker 1: scale to power these sorts of things is allowed. I

1574
01:43:45,080 --> 01:43:49,599
Speaker 1: have long thought that Three Mile Island and Sure Noble

1575
01:43:50,120 --> 01:43:53,760
Speaker 1: might have been the two biggest disasters that we have

1576
01:43:53,840 --> 01:43:58,040
Speaker 1: ever experienced as a country because of the perception that

1577
01:43:58,120 --> 01:44:00,960
Speaker 1: they instilled in a whole lot of America minds that

1578
01:44:01,360 --> 01:44:04,760
Speaker 1: nuclear is not safe, that there's no way we could

1579
01:44:04,840 --> 01:44:07,599
Speaker 1: ever allow nuclear because look what happened in Chernobyl. Well,

1580
01:44:07,640 --> 01:44:09,120
Speaker 1: I don't think I need to tell you this, but

1581
01:44:09,280 --> 01:44:13,720
Speaker 1: the Soviets were completely and totally incompetent. If you want

1582
01:44:13,760 --> 01:44:16,400
Speaker 1: to watch a great illustration of that, watch the mini

1583
01:44:16,439 --> 01:44:19,600
Speaker 1: series Chernobyl, which was five six years ago something like

1584
01:44:19,640 --> 01:44:25,120
Speaker 1: that on HBO. Absolutely fantastic telling of that story. But

1585
01:44:25,280 --> 01:44:28,320
Speaker 1: because that was so omnipresent in people's minds and on

1586
01:44:28,360 --> 01:44:33,120
Speaker 1: their televisions, and because the environmental left made it such

1587
01:44:33,320 --> 01:44:39,759
Speaker 1: a scary boogieman, and of course the coal and oil

1588
01:44:39,920 --> 01:44:44,600
Speaker 1: and natural gas producers, especially OPEC and the oil industry,

1589
01:44:45,240 --> 01:44:49,439
Speaker 1: use that disaster to demonize the single worst competition they

1590
01:44:49,520 --> 01:44:54,200
Speaker 1: ever faced. We have an entire generation of people who

1591
01:44:54,240 --> 01:44:57,880
Speaker 1: believe that nuclear at any level is completely unsafe and

1592
01:44:57,880 --> 01:45:02,520
Speaker 1: should never be allowed. Well, that quite possibly set humanity

1593
01:45:02,760 --> 01:45:05,920
Speaker 1: back about a half a century. And I don't think

1594
01:45:05,960 --> 01:45:09,439
Speaker 1: I'm exaggerating there. You are listening to the Dan o'donald show.

1595
01:45:09,479 --> 01:45:15,080
Speaker 1: It is classical conservatism and contemporary style. Absolutely great discussion.

1596
01:45:15,160 --> 01:45:23,040
Speaker 1: Folks loved it. Always a fascinating discussion of data centers,

1597
01:45:23,120 --> 01:45:25,479
Speaker 1: and I sort of see it as my mission on

1598
01:45:25,520 --> 01:45:30,280
Speaker 1: this show to debunk just fundamental untruths and misinformation that's

1599
01:45:30,320 --> 01:45:33,599
Speaker 1: out there, and a lot of misinformation is is flying

1600
01:45:33,720 --> 01:45:38,559
Speaker 1: about data centers, so I'm sure we will discuss this again.

1601
01:45:39,439 --> 01:45:43,280
Speaker 1: The big sports story that isn't really a sports story,

1602
01:45:43,320 --> 01:45:47,000
Speaker 1: but is a story about loyalty and character.

1603
01:45:48,000 --> 01:45:48,120
Speaker 3: Was.

1604
01:45:48,880 --> 01:45:55,240
Speaker 1: It reached a crescendo yesterday when Lane Kiffin officially announced

1605
01:45:55,280 --> 01:45:59,040
Speaker 1: that he was leaving All miss the University of Mississippi

1606
01:45:59,200 --> 01:46:01,559
Speaker 1: football team, where he was the head coach for the

1607
01:46:01,560 --> 01:46:07,280
Speaker 1: past five seasons and led them from just utter depths

1608
01:46:07,360 --> 01:46:12,200
Speaker 1: of irrelevance in the SEC, the best football conference in America,

1609
01:46:12,880 --> 01:46:17,080
Speaker 1: to the cusp of a potential national title. They are

1610
01:46:17,120 --> 01:46:20,599
Speaker 1: going to make the College Football Playoff, but Kiffin announced

1611
01:46:20,720 --> 01:46:24,840
Speaker 1: yesterday he ain't going to be with him. He has

1612
01:46:24,920 --> 01:46:29,639
Speaker 1: taken the head coaching job at LSU, which is being

1613
01:46:29,760 --> 01:46:34,400
Speaker 1: forced to pay now former coach Brian Kelly as it

1614
01:46:34,520 --> 01:46:38,760
Speaker 1: fired Kelly in the midst of a down season and

1615
01:46:38,920 --> 01:46:42,160
Speaker 1: attempted to claim that Kelly violated the terms of his

1616
01:46:42,320 --> 01:46:46,320
Speaker 1: contract and thus LSU didn't need to pay him the

1617
01:46:46,360 --> 01:46:48,960
Speaker 1: rest of his contract. Well turns out they're going to

1618
01:46:49,000 --> 01:46:51,559
Speaker 1: have to pay him about fifty million dollars and now

1619
01:46:51,560 --> 01:46:56,719
Speaker 1: they're also paying Lane Kiffen. Kiffen has always been regarding

1620
01:46:56,760 --> 01:47:00,920
Speaker 1: he is the son of the late very well respected

1621
01:47:00,960 --> 01:47:06,880
Speaker 1: coach Monte Kiffen, Right, Producer Armin, Monty Kiffn is dead, right, Yeah, Yeah,

1622
01:47:07,240 --> 01:47:10,360
Speaker 1: I'm fairly certain he died. Yeah, he died several years ago.

1623
01:47:11,040 --> 01:47:15,040
Speaker 1: Lane Kiffin has since he was a wonder kin who

1624
01:47:15,120 --> 01:47:18,679
Speaker 1: was supposed to revitalize the Oakland Raiders years and years

1625
01:47:18,680 --> 01:47:25,800
Speaker 1: and years ago, has been a job hopping joke. He's

1626
01:47:25,840 --> 01:47:30,080
Speaker 1: had tremendous success at Old Miss over the last five years,

1627
01:47:30,520 --> 01:47:33,400
Speaker 1: but he washed out of Oakland, he washed out of Tennessee,

1628
01:47:33,560 --> 01:47:39,679
Speaker 1: he washed out of USC, and ll MISS was the

1629
01:47:39,760 --> 01:47:42,960
Speaker 1: only school that at that point in his career was

1630
01:47:43,000 --> 01:47:46,479
Speaker 1: willing to give him a chance. He does the right thing.

1631
01:47:47,240 --> 01:47:49,719
Speaker 1: He sticks with the program for really the first time

1632
01:47:49,720 --> 01:47:53,880
Speaker 1: in his coaching career, and he builds them up into

1633
01:47:53,920 --> 01:47:59,920
Speaker 1: a title contender. Just before Thanksgiving, word starts to leak

1634
01:48:00,160 --> 01:48:05,360
Speaker 1: that Lane well he might be taking the job with LSU,

1635
01:48:05,720 --> 01:48:11,040
Speaker 1: obviously an SEC rival. Yesterday, hopped on a plane to

1636
01:48:11,080 --> 01:48:15,800
Speaker 1: Louisiana signed the contract, leaving his players in the dust.

1637
01:48:15,840 --> 01:48:20,160
Speaker 1: Now players because of the transfer portal is Producer Arman noted,

1638
01:48:20,240 --> 01:48:24,320
Speaker 1: are pretty much mercenaries themselves, and they'll hop from school

1639
01:48:24,320 --> 01:48:27,559
Speaker 1: to school to school to school, but not in the

1640
01:48:27,600 --> 01:48:30,759
Speaker 1: middle of a year when you're going to the college

1641
01:48:30,800 --> 01:48:34,800
Speaker 1: football Playoff and you have a very real chance of

1642
01:48:34,960 --> 01:48:38,120
Speaker 1: playing for a national championship. It's not like the old

1643
01:48:38,240 --> 01:48:41,000
Speaker 1: days where what the bcs where there were only the

1644
01:48:41,040 --> 01:48:43,480
Speaker 1: top two teams who would play for the national championship,

1645
01:48:43,479 --> 01:48:46,960
Speaker 1: and pretty much every other bowl game was in large

1646
01:48:46,960 --> 01:48:49,439
Speaker 1: measure and exhibition. This is why you would get top

1647
01:48:49,520 --> 01:48:54,920
Speaker 1: NFL prospects sitting them out. Now, no, the playoffs actually

1648
01:48:55,000 --> 01:49:01,880
Speaker 1: means something. The bowl games actually mean something beyond ridiculous,

1649
01:49:01,960 --> 01:49:07,640
Speaker 1: though that college football's set up makes this all but inevitable.

1650
01:49:08,479 --> 01:49:14,000
Speaker 1: The transfer portal essentially opening while teams are still playing

1651
01:49:15,200 --> 01:49:19,519
Speaker 1: means that coaches, if they want to capitalize and big schools,

1652
01:49:19,560 --> 01:49:22,439
Speaker 1: you need to get top players out of the transfer portal.

1653
01:49:22,520 --> 01:49:26,799
Speaker 1: It's just as important, if not more so, than recruiting

1654
01:49:26,840 --> 01:49:31,439
Speaker 1: top high school players. But because the recruiting window is

1655
01:49:31,720 --> 01:49:37,080
Speaker 1: also open. If Lane Kiffin didn't take the LSU job

1656
01:49:37,120 --> 01:49:41,240
Speaker 1: when he did, and LSU didn't essentially say hey, you

1657
01:49:41,360 --> 01:49:43,519
Speaker 1: take the job now, or we're going to give it

1658
01:49:43,560 --> 01:49:48,720
Speaker 1: to somebody else, that was the reason that you have

1659
01:49:49,280 --> 01:49:53,040
Speaker 1: a national championship team suddenly without his coach, and Kiffin

1660
01:49:53,160 --> 01:49:55,160
Speaker 1: thought he was just going to be able to poach

1661
01:49:55,200 --> 01:49:58,639
Speaker 1: his entire coaching staff and bring them to LSU with him.

1662
01:49:59,360 --> 01:50:02,240
Speaker 1: Will Miss is rightfully saying, no, We're gonna do our

1663
01:50:02,280 --> 01:50:05,600
Speaker 1: best to keep you from doing that. It seems like

1664
01:50:05,680 --> 01:50:09,720
Speaker 1: this whole scenario could be remedied very easily if the

1665
01:50:09,880 --> 01:50:15,320
Speaker 1: NCUBLEA would just change the transfer portal window and change

1666
01:50:15,320 --> 01:50:18,479
Speaker 1: the recruiting window for when coaches are actually allowed to

1667
01:50:19,080 --> 01:50:24,800
Speaker 1: make any contact with prized recruits. What kind of this

1668
01:50:25,160 --> 01:50:29,800
Speaker 1: would be like if the NFL free agency period was

1669
01:50:29,920 --> 01:50:33,559
Speaker 1: right before the Super Bowl, if the trade deadline was

1670
01:50:33,600 --> 01:50:37,200
Speaker 1: the week before the Super What let's have the NFL

1671
01:50:37,320 --> 01:50:41,840
Speaker 1: Draft in the divisional round of the playoffs. Why why

1672
01:50:42,640 --> 01:50:46,120
Speaker 1: is the schedule so messed up? Why would you do

1673
01:50:46,280 --> 01:50:49,960
Speaker 1: college basketball? Is it like this? No other sport is

1674
01:50:50,160 --> 01:50:53,639
Speaker 1: like this, So it seems like there is an easy fix.

1675
01:50:54,240 --> 01:50:57,360
Speaker 1: It would, at least to my mind. And I'll admit

1676
01:50:57,600 --> 01:51:00,839
Speaker 1: I am not a huge college football but I couldn't

1677
01:51:00,840 --> 01:51:04,800
Speaker 1: help being swept up in the Lane Kiffin saga over

1678
01:51:04,920 --> 01:51:08,920
Speaker 1: Thanksgiving weekend, And really, yes, it is about loyalty, Like

1679
01:51:09,240 --> 01:51:13,800
Speaker 1: how can you take a group of kids and just

1680
01:51:13,960 --> 01:51:17,920
Speaker 1: walk away from them when you have a real chance

1681
01:51:18,040 --> 01:51:22,759
Speaker 1: of doing something that nobody thought a Mississippi team would

1682
01:51:22,760 --> 01:51:26,040
Speaker 1: be able to do in the era of dominance by

1683
01:51:26,200 --> 01:51:32,879
Speaker 1: Alabama and Auburn and LSU in that conference and actually

1684
01:51:32,920 --> 01:51:36,720
Speaker 1: win it all. I mean, just how can anybody ever

1685
01:51:36,800 --> 01:51:39,720
Speaker 1: went when there was a great column. I believe it

1686
01:51:39,880 --> 01:51:43,760
Speaker 1: was in the Athletic, I don't actually remember who wrote it,

1687
01:51:43,760 --> 01:51:47,920
Speaker 1: and for that I do apologize. But when he talks

1688
01:51:47,960 --> 01:51:51,200
Speaker 1: about it in his next pregame speech, when he talks

1689
01:51:51,240 --> 01:51:53,560
Speaker 1: about we're all in this together, boys, and this is

1690
01:51:53,600 --> 01:51:55,920
Speaker 1: a team and these are your brothers, how can anybody

1691
01:51:56,000 --> 01:51:59,559
Speaker 1: take him seriously be like, oh, yeah, yeah, you're our brothers.

1692
01:51:59,600 --> 01:52:04,320
Speaker 1: In two what the Kansas City Chiefs need a head coach?

1693
01:52:04,360 --> 01:52:08,400
Speaker 1: And then you're gonna leave us for them? Seriously, what

1694
01:52:08,880 --> 01:52:12,519
Speaker 1: happens in five years after Kiffen wins a National Chip

1695
01:52:12,640 --> 01:52:15,679
Speaker 1: five hill? What happens in two years if Kiffen wins

1696
01:52:15,680 --> 01:52:18,839
Speaker 1: a national championship or he's about to win a national

1697
01:52:18,920 --> 01:52:22,759
Speaker 1: championship and all of a sudden the NFL comes calling

1698
01:52:22,840 --> 01:52:26,120
Speaker 1: It was an excellent point by this columnists. You're listening

1699
01:52:26,160 --> 01:52:30,120
Speaker 1: to the Dan o'donald show, conservative thought, not just talk

1700
01:52:30,520 --> 01:52:33,919
Speaker 1: I hope all of you had just a wonderful Thanksgiving weekend.

1701
01:52:35,479 --> 01:52:39,439
Speaker 1: I think the highlight of mine was watching my kids

1702
01:52:39,520 --> 01:52:43,280
Speaker 1: and my nieces play last night as my brother's birthday,

1703
01:52:44,160 --> 01:52:47,640
Speaker 1: and we all came over after dinner, and obviously the

1704
01:52:47,680 --> 01:52:50,840
Speaker 1: new fallen snow. It was amazing. It just warmed my

1705
01:52:50,920 --> 01:52:53,599
Speaker 1: heart and I thought life could not get any better

1706
01:52:53,640 --> 01:52:58,160
Speaker 1: than that. And then this morning, Yingling Beer announced that

1707
01:52:58,200 --> 01:53:02,400
Speaker 1: they are finally going to be selling in Wisconsin. This

1708
01:53:02,520 --> 01:53:08,920
Speaker 1: might be an early Christmas miracle. I absolutely Yingling might

1709
01:53:09,000 --> 01:53:13,040
Speaker 1: be my favorite beer. It is the oldest brewery in

1710
01:53:13,080 --> 01:53:17,880
Speaker 1: the United States of America. It's two hundred years old,

1711
01:53:18,640 --> 01:53:21,680
Speaker 1: and finally, for the first time, next year, it is

1712
01:53:21,760 --> 01:53:24,640
Speaker 1: going to be sold in the United States. Let me

1713
01:53:24,760 --> 01:53:29,080
Speaker 1: just say it was a glorious day for Dan O'Donnell today. No,

1714
01:53:29,200 --> 01:53:31,920
Speaker 1: I'm kidding. Obviously, the highlight was watching the kids and

1715
01:53:32,000 --> 01:53:34,840
Speaker 1: playing with the kids in the snow. Have a great night, Wisconsin.

1716
01:53:34,920 --> 01:53:35,680
Speaker 1: Back tomorrow.