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Speaker 1: Hey, Welcome into the Dan o'donald Show Wednesday edition. It

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Speaker 1: is a daily foray into broadcast excellence, or at the

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Speaker 1: very least and probably much more likely, broadcast competence. We

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Speaker 1: have got three hours of it for you and it

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Speaker 1: starts right now. You want to join us four one

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Speaker 1: four seven nine to nine eleven thirty reach us toll

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

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Speaker 1: seven six, email me dd at iHeartMedia dot com. At

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Speaker 1: Dan o'donalds Show is where you can find us, streaming

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Speaker 1: live via x via Facebook, via Instagram. Heck, we are

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Speaker 1: even on linked In if you can believe that. If

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Speaker 1: there is a place to stream, we are streaming, including

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Speaker 1: on our YouTube channel. And we do remind you that

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Speaker 1: we do exist as a podcast. Just find us Dan

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Speaker 1: o'donald Show on iHeartRadio or wherever you listen to podcasts.

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Speaker 1: Big Big day at the Wisconsin Capitol today, one of

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Speaker 1: the most controversial pieces of legislation has apparently died. Although temporarily,

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Speaker 1: the online sports betting bill was removed from the legislative calendar.

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Speaker 1: It was scheduled for a vote in the state Assembly

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Speaker 1: today on a voice vote. Republicans who controlled the Assembly

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Speaker 1: wanted to pass this measure, which would give cartel like

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Speaker 1: power to the Native American casinos that currently have sports

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Speaker 1: books to regulate and basically run online sports betting in

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Speaker 1: this state. Essentially, if an operator like fan Duel or

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Speaker 1: Draft Kings wanted to come in and allow bets, not

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Speaker 1: daily fantasy or that sort of thing which is currently

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Speaker 1: legal in Wisconsin, but actually bet on games, take the over,

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Speaker 1: under take the point spread, take the money line, something

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Speaker 1: like that, they would need to physically place their servers,

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Speaker 1: the servers that actually power the online betting in a

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Speaker 1: casino sportsbook. Not only that, they would need to give

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Speaker 1: Potootomy or Oneida or ho Chunk sixty percent of their profits.

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Speaker 1: That's what it would essentially amount to. And those three

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Speaker 1: tribes which currently have casinos with sportsbooks in Wisconsin would

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Speaker 1: be granted a legally backed cartel.

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Speaker 2: Well.

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Speaker 1: The Assembly was scheduled to vote today, but when there

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Speaker 1: was a conservative revolt by as many as eight members

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Speaker 1: of the Republican caucus, that bill was withdrawn. The key

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Speaker 1: reason is what's known as the rule of fifty. The

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Speaker 1: rule of fifty is informal yes, which means it's not

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Speaker 1: something that needs to happen, but it has been long respected,

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Speaker 1: and what it means is that a party in the majority,

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Speaker 1: either the Republicans or the Democrats whenever they regained control

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Speaker 1: of the state Assembly, needs to have at least fifty

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Speaker 1: members of their body of their caucus supporting a measure

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Speaker 1: before it will be brought to the floor for a vote.

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Speaker 1: If it does not have fifty members, if for example,

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Speaker 1: it could only pass with the other party's support, the

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Speaker 1: bill will be pulled. It was not known heading into

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Speaker 1: today's vote just how many Republicans were on board with

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Speaker 1: giving cartel like power over online sports betting to the

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Speaker 1: native tribes. It turned out there were a handful of

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Speaker 1: Republicans who were vehemently against it. Some didn't like the

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Speaker 1: idea of passing this on a voice vote. Some didn't

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Speaker 1: like that this smacked of the previous controversy over right

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Speaker 1: of first refusal, another bill earlier this year that died

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Speaker 1: before it could get to the full state legislature for

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Speaker 1: a vote because of concerns that it would give cartel

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Speaker 1: like power to the existing transmission companies here in Wisconsin,

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Speaker 1: it would not allow outside competition. It is, in fact,

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Speaker 1: very very similar to the bill that was tabled today

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Speaker 1: would have given cartel like power to the casinos for

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Speaker 1: online sports gambling. So some legislators didn't like that. Some

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Speaker 1: legislators didn't like the idea that nobody would be able

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Speaker 1: to see how anybody voted, because obviously a voice vote

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Speaker 1: is simply a large cacophony of sound. All in favor

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Speaker 1: of say I, everybody yells I. All opposed say nay,

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Speaker 1: handful of people say nay. Every Democrat was going to

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Speaker 1: vote for this bill, and in fact, over the weekend,

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Speaker 1: Governor Eavers signaled in an interview with Upfront the TV show,

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Speaker 1: that he was going to sign this into law, but

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Speaker 1: the rule of fifty prohibited Assembly Robin Voss and Assembly

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Speaker 1: Majority Leader Tyler August, who I am told was the

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Speaker 1: big driving force behind this bill behind the scenes, from

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Speaker 1: bringing it to the floor for a vote. Now, there

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Speaker 1: was some question after we initially reported this as an

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Speaker 1: exclusive at about seven point thirty last night, when words

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Speaker 1: started to come out of the Republican Caucus that the

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Speaker 1: measure was being tabled that there wasn't going to be

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Speaker 1: a vote on it today. We put it on social media,

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Speaker 1: but then heard early this morning that in fact, the

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Speaker 1: bill might not necessarily be dead for this legislative session,

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Speaker 1: as there was going to be a last ditch effort

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Speaker 1: to potentially twist some arms among those eight Republican holdouts. Well,

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Speaker 1: they weren't able to get anywhere with that. In fact,

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Speaker 1: I am told that at least one member of the

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Speaker 1: Republican Caucus is just incredibly morally opposed to online sports

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Speaker 1: betting because of just how addictive it is. And in fact,

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Speaker 1: I have been doing a lot of research over the

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Speaker 1: past couple of weeks. As this has been a big controversy,

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Speaker 1: we have been focused very, very heavily on this bill

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Speaker 1: over the past couple of weeks. I've been researching a

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Speaker 1: lot on online sports gambling, and in fact, there are multiple,

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Speaker 1: multiple studies that show it is, in fact, the most

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Speaker 1: addictive form of gambling there is, whether it's online sports betting,

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Speaker 1: whether it's online poker, whether it's online casino style gaming,

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Speaker 1: just because it is so easy to do. I mean,

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Speaker 1: think about what you need to do to place a bet. Currently,

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Speaker 1: you have to figure out what game you want to bet.

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Speaker 1: Let's say it's the Packers in Minnesota vikings this week,

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Speaker 1: he said, okay, well, the Packers are clearly good to cover.

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Speaker 1: Minnesota's Vikings quarterback JJ McCarthy.

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Speaker 2: Appears to suck.

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Speaker 1: We're not quite sure, but he is oft injured, and

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Speaker 1: when he's allegedly healthy, he doesn't seem to be able

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Speaker 1: to throw the ball. We think that JJ McCarthy may suck. So, okay,

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Speaker 1: I want to bet on the Packers this weekend. I

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Speaker 1: have to drive down to Potawatam Hotel and Casino, which

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Speaker 1: happens to be the closest casino to me with a

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Speaker 1: sports book. I have to go into my wallet. I

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Speaker 1: have to get out twenty bucks one hundred bucks. Whenever

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Speaker 1: I'm going to put down on the Packers, I have

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Speaker 1: to go up to the window. I have to give

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Speaker 1: them cash. I get a ticket, and then I drive

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Speaker 1: back home. Yes, yes, I know I could also call

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Speaker 1: a bookie. I'm talking about a legal bet, Yes, okay,

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Speaker 1: I want to do things legally. Obviously, if I run

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Speaker 1: a follow the law at all as a highly respected

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Speaker 1: conservative radio host, the left is going to bury me.

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Speaker 2: So I want to do things right.

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Speaker 1: That's a whole lot of steps that's going to take

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Speaker 1: me at least an hour hour and a half in

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Speaker 1: bad traffic to make my bet. If I have a phone,

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Speaker 1: It'll take me a second and a half to make

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Speaker 1: that exact same bet. Not only that, I don't have

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Speaker 1: to actually physically go into my wallet and pull out

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Speaker 1: a CRISP one hundred dollars bill. It's just automatically debited

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Speaker 1: from my account, which is tied to either my bank

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Speaker 1: account or credit whatever it is. I'll be totally honest

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Speaker 1: with you. I don't know exactly since online sports betting

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Speaker 1: has not been legal here in Wisconsin. I have never

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Speaker 1: once made an online sports bet, but there are those

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Speaker 1: in the Republican Caucus who think it is just bad

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Speaker 1: policy to bring that to Wisconsin. Now, I'm not going

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Speaker 1: to take a position on that wall. I do agree

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Speaker 1: it is highly addictive. We do have highly addictive substances

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Speaker 1: that are currently legal in Wisconsin, cigarettes, other forms of tobacco,

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Speaker 1: vape products, alcohol, of course, and we do have other vices,

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Speaker 1: namely casino gambling, slots, video poker, table games that are

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Speaker 1: also legal forms of gambling. Those are also very addictive.

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Speaker 1: I understand also that online sports betting is going to

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Speaker 1: happen at some point. It's just like the legalization of

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Speaker 1: marijuana at some point in my lifetime. Marijuana will be

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Speaker 1: removed as a federally prohibited narcotic, and it will be

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Speaker 1: legalized in all fifty states. It's just the way I

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Speaker 1: understand that I am on. I happen to think it

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Speaker 1: is an incredibly dangerous substance that should not be legal.

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Speaker 1: But I recognize I'm in the minority politically here, and

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Speaker 1: I recognize that it's a political loser for my party,

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Speaker 1: the Republicans, and for my conservative political movement. I understand

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Speaker 1: that same thing with abortion. I understand I am morally,

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Speaker 1: I could not possibly be more opposed to abortion, morally, spiritually, ethically,

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Speaker 1: just whatever. I also understand politically it's a losive. Same

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Speaker 1: thing with online gambling, line sports betting is going to

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Speaker 1: happen here. My opposition to this bill was not based

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Speaker 1: on some sort of moral opposition to gambling, nor was

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Speaker 1: it based on some sort of personal or political animus

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Speaker 1: towards the tribes. As I said yesterday, I happen to

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Speaker 1: think now, I haven't been to hoe Chunk in a

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Speaker 1: couple of years. I don't think I've ever been to

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Speaker 1: the Oneida Casino. But I go to Potawata Meet every

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Speaker 1: couple of years or so. I was just there a

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Speaker 1: couple of months ago. I had dinner with some friends nearby,

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Speaker 1: and I'll kill a couple of hours and you know,

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Speaker 1: go walk around Potawatame. I really wanted to see their

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Speaker 1: sports book. I happen to think that there's nothing wrong

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Speaker 1: with the way they have currently run gambling in this state.

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Speaker 1: But I just when I hear that we're going to

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Speaker 1: create a government backed cartel, no matter who it is

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Speaker 1: that's running said cartel. I had nothing personal against the

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Speaker 1: electrical transmission companies. I think they're doing just a fine

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Speaker 1: job when it comes to running and maintaining power lines

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Speaker 1: and power stations in this state. But when it comes

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Speaker 1: to giving a monopoly or giving a cartel, which is

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Speaker 1: just supposedly independent organizations or businesses that in effect cumulatively

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Speaker 1: operate with the power of monopolies and simply just split

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Speaker 1: up the turf of a given state, I just can't

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Speaker 1: get behind that because I think it's fundamentally anti consumer.

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Speaker 1: Instead of giving Wisconsinites tons of options for where they

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Speaker 1: would want to place their online sports bets, fan dual

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Speaker 1: ESPN bets, what are some other ones. Prize Picks is

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Speaker 1: another one that's constantly advertising Draft Kings I believe is

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Speaker 1: the big Boy, whatever it is, all of that would

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Speaker 1: essentially be funneled through three operators, the Potlotomy, the Oneida,

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Speaker 1: and the ho Chunk. Not only that, there's nothing that

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Speaker 1: the state of Wisconsin could possibly get in return because

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Speaker 1: of the real villain in this story, the corrupt Diamond

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Speaker 1: Jim Doyle, who sold out the entire state to get

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Speaker 1: that sweet sweet Native American gambling campaign cash back in

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Speaker 1: two thousand and two and struck a thoroughly corrupt bargain

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Speaker 1: to make the compacts that were reached, the agreements that

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Speaker 1: were reached with the tribes at the time, effectively permanent.

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Speaker 1: It was a nightmare of a deal, and in fact,

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Speaker 1: it's the reason that it is so difficult to get

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Speaker 1: a casino built. Just look at what's going on with

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Speaker 1: the hard rock the Seminole Tribe of Florida. They run

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Speaker 1: hard rock casinos and they run the hard Rock Enterprise.

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Speaker 1: Big hard Rock going up where the Mirage used to

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Speaker 1: stand in Las Vegas. I am told that's going to

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Speaker 1: be operational pretty soon. The Giant Guitar is going to

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Speaker 1: be up within the next year or so. They're trying

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Speaker 1: to put win in Kenosha. But the Potawotomy are fighting

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Speaker 1: tooth and nails, saying, Okay, well, you're gonna have to

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Speaker 1: pay us a tremendous amount of money because it's violating

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Speaker 1: our compact. Well, what, you can't have any competition whatsoever

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Speaker 1: within a certain radius to your casino. This is just

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Speaker 1: fundamentally anti competitive. I don't blame the Potawotomy for trying

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Speaker 1: to hold Wisconsin to that compact. I blame Governor Doyle

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Speaker 1: for making it impossible for us to ever renegotiate that

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Speaker 1: compact ever again. So the online sports betting.

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Speaker 2: Bill is dead.

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Speaker 1: Tyler August told the Associated Press this afternoon that there

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Speaker 1: isn't going to be another vote on it this legislative session,

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Speaker 1: but that it is very likely that it's going to

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Speaker 1: come back next year unless there are some sort of

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Speaker 1: major concessions and changes that the tribes are willing to

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Speaker 1: make to the compact. I, for one, am still going

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Speaker 1: to be opposed to this. I think it's a loser

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Speaker 1: politically for Republicans, and I think it's fundamentally bad policy.

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Speaker 1: Republicans should not be in the business of creating government

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Speaker 1: backed cartels. We have got to follow up people in

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Speaker 1: Mechwan speaking out about the South American burglary ring that's

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Speaker 1: targeting them not coming up in just three minutes. Do

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Speaker 1: you know what the acronym FAFO stands for. I can't

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Speaker 1: actually say it on this family friendly radio show, but

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Speaker 1: it means leap around and find out, fart around and

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Speaker 1: find out. Thank you, producer, Eric, fart around and find out.

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Speaker 1: And just like that, I have to apologize to every

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Speaker 1: parent of every elementary school student who is in the

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Speaker 1: car after getting picked up from class today, who is

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Speaker 1: now giggling uncontrollably at the fact that the radio man

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Speaker 1: said fart yes, fart around and find out. We have

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Speaker 1: the single most hilarious example of a lib farting around

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Speaker 1: and finding out after interfering with ICE operations. This side

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Speaker 1: of Judge Hannah Dugan, who, by the way, is I'm told,

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Speaker 1: increasingly desperate to cop a plea deal in her case

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Speaker 1: because she knows she is guilty as sin and even

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Speaker 1: one of the most left wing judges in the federal

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Speaker 1: judiciary presiding over her trial can't possibly save her. We

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Speaker 1: will get to this story about a LIB at a

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Speaker 1: volunteer urban riding staple thinking she sees ice agents freaking

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Speaker 1: out and losing her volunteer gig over it. It is

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Speaker 1: hilarious and we are going to have some fun going

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Speaker 1: over that story, while also talking about the very serious

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Speaker 1: issue of liberals truly believing that if they disagree with

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Speaker 1: a law enforcement operation, or if they just are morally

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Speaker 1: opposed to a law enforcement agency, they have every right

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Speaker 1: to interfere with ongoing investigations. Folks, libs, I know there

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Speaker 1: are a handful of you listening to me right now.

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Speaker 1: I know you hate my guts. You're probably hate listening. Please,

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Speaker 1: if you hear nothing else from this program, hear this.

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Speaker 1: Do not obstruct justice. Do not interfere with ICE operations.

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Speaker 1: Do not warn illegals that ICE agents are coming. That

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Speaker 1: is obstruction. Don't do it. One of the most surprising

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Speaker 1: things in the Wisconsin media landscape this week is the

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Speaker 1: fact that the illegal alien and South American burglary ring

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Speaker 1: story out of Mechwan has actually got some traction. After

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Speaker 1: Channel twelve, the ABC affiliate in Milwaukee, first reported on

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Speaker 1: this over the weekend, there have actually been a number

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Speaker 1: of other stations following up. Consider this nimbiism in the extreme,

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Speaker 1: not in my backyard, when even the left wingers who

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Speaker 1: have started to take over Mechwan are seeing the results

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Speaker 1: and the consequences of voting Democrat. Well, one of the

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Speaker 1: victims of the burglaries whose political affiliation I simply do

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Speaker 1: not know, and I don't want to infer she is

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Speaker 1: the victim of a crime. We're not going to say

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Speaker 1: she deserved it at all. In fact, nobody deserves this.

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Speaker 1: Nobody deserves to be victimized. But it should be noted

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Speaker 1: that there would be a great way to ensure that

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Speaker 1: your home is not targeted by an illegal alien South

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Speaker 1: American burglary ring, and that is to not support politicians

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Speaker 1: who are bringing in illegal alien South American burglary rings.

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Speaker 1: The woman's name is Lynn Langlois and she has about

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Speaker 1: the most perfect quote summing up this story.

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Speaker 3: I couldn't believe that it had happened to us, and

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Speaker 3: Mechwan is so safe.

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Speaker 1: Well, Mechwan was so safe. TMJ four NBC affiliate reporter

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Speaker 1: Jenna Ray with Lynn's story.

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Speaker 4: On Monday, Lynn received this video along with a call

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Speaker 4: from her landscaper saying her Mekwe home was broken into.

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Speaker 3: I couldn't believe it. I couldn't believe the destruction and

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Speaker 3: how rapidly they had done.

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Speaker 4: Lynn's home is the latest in a string of about

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Speaker 4: a dozen burglaries and Mechwan alone, according to police. Burglaries

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Speaker 4: Macwan police saying are being committed by a South American

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Speaker 4: crime gang that were recently connected to or arrested for

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Speaker 4: similar crimes in Florida. What is that like to hear?

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Speaker 3: Frightening because I think that they're not just adolescent children.

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Speaker 3: These people are professionals, and they're quick, and they they

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Speaker 3: will go through your house in minutes.

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Speaker 4: The FBI says field offices across the country are investigating

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Speaker 4: these break ins tied to South American theft groups or sagts.

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Speaker 1: Now, one question I think should be on everyone's mind,

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Speaker 1: since this appears to be a widespread problem. Have we

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Speaker 1: heard from our Governor Tony Evers about the illegal alien

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Speaker 1: South American burglary rings that are operating apparently across the state.

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Speaker 1: Bobby portis the Milwaukee Bucks Forward was targeted. This is

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Speaker 1: part of a national group that is apparently going after

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Speaker 1: wealthy homes, and they are sophisticated, as poor Lynn said,

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Speaker 1: they know exactly whose houses they're burglarizing, as evidenced by

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Speaker 1: the fact that they've been targeting professional athletes houses while

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Speaker 1: those athletes are at games. What a perfect way to

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Speaker 1: ensure that you're not going to have somebody home who

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Speaker 1: could potentially stop you by just watching TV and seeing, Oh, hey,

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Speaker 1: there's Bobby Portis.

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Speaker 2: He just checked in.

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Speaker 1: He's got five points in three rebounds. Let's get all

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Speaker 1: of his watches and get out of his house. Hey,

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Speaker 1: we've got twelve minutes left in the third quarter. I

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Speaker 1: think we've got plenty of time. But these people are

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Speaker 1: going in going out very very quickly. And this is

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Speaker 1: part of a nationwide organization. You might say it's organized crime.

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Speaker 1: You might also say, wait a minute, how did these people?

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Speaker 1: And there are those who are saying, well, Dan, Dan, Dan,

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Speaker 1: how do you know? I could not believe. I could

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Speaker 1: not fundamentally bel leave. I happen to be scrolling through

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Speaker 1: my Facebook feed to look for a previous video I

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Speaker 1: had posted or story I had done this morning, and

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Speaker 1: I happened upon the comments on this story, all sorts

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Speaker 1: of liberals saying, how do you know they're South American? Okay, Well,

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Speaker 1: because the Mekwan Police Department said so in the video

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Speaker 1: of the story I posted. Another couple of people said, Hey,

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Speaker 1: they look pretty white to me in the grainy black

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Speaker 1: and white surveillance camera footage. Apparently they look like white

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Speaker 1: guys to several of these commenters. Another couple said, Dan,

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Speaker 1: how do you know they actually stole anything. They didn't

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Speaker 1: actually burglarize a it, They're just in the woods. You're

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Speaker 1: so racist for assuming a bunch of South Americans in

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Speaker 1: the woods are obviously stealing things.

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Speaker 2: Again, because people.

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Speaker 1: Have reported from the people who are running into their

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Speaker 1: houses from the woods. It just got me thinking about

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Speaker 1: the the silos of media consumption that we now exist

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Speaker 1: in as conservatives and liberals because of social media, and

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Speaker 1: what is showing up on our feeds, what the various

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Speaker 1: social media algorithms are actually presenting to us. It is

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Speaker 1: entirely possible for a lot of these liberals in my comments,

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Speaker 1: they had no idea about the South American burglary ring. Now, Dan,

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Speaker 1: you might be asking, how do you know that these

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Speaker 1: are illegal aliens? Well, because the FBI has said that

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Speaker 1: these aren't illegal aliens. Generally speaking, folks, the South Americans

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Speaker 1: who are coming into this country legally, the Peruvian doctors

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Speaker 1: that are coming here for a better life, aren't part

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Speaker 1: of burglary rings and organized crime, which is invariably tied

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Speaker 1: to drug cartel slash criminal gang enterprises, which typically employ

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Speaker 1: a whole lot of illegal alien South Americans. But it

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Speaker 1: is actually fascinating to see some of the responses to

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Speaker 1: this story. People who simply can't believe that what is

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Speaker 1: actually happening. Illegal alien crime gang members are targeting Americans

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Speaker 1: is happening because for four years they got nothing but

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Speaker 1: social media algorithms and national media anchors telling them that

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Speaker 1: there was no crime being committed by illegal aliens. By

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Speaker 1: the way, our border isn't open, there isn't a southern

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Speaker 1: border crisis. We didn't import millions and millions of people

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Speaker 1: who have no business being here. They were just completely

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Speaker 1: oblivious to it. Hey, what do you suppose some of

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Speaker 1: our local organizations are doing to combat the threat threat

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Speaker 1: of these illegal alien South American burglary rings. Well, in

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Speaker 1: the case of one very prominent teachers union, they're trying

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Speaker 1: to obstruct investigations into illegal aliens. We'll get to that

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Speaker 1: story and the best fafoh you'll hear all week.

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Speaker 2: Liberals really really really do not.

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Speaker 1: Like law enforcement, just kind of as a general rule,

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Speaker 1: but specifically their ire is turned to ICE, immigrations and

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Speaker 1: customs enforcement, and the new way at least over the

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Speaker 1: last I'd say six eight months, that they are virtue

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Speaker 1: signaling how much they care about illegal aliens is to

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Speaker 1: actively interfere in ICE operations. We reported exclusively earlier this

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Speaker 1: week that a number of Democrats in the Wisconsin Assembly,

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Speaker 1: Darren Madison, Ryan Clancy, and Francesca Hong, who's also running

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Speaker 1: for governor, are advertising an event tomorrow afternoon at the

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Speaker 1: Wisconsin Capital in which they are going to be training

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Speaker 1: ICE verifiers. Basically, these are going to be people who

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Speaker 1: are manning a hotline that people can call into and

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Speaker 1: report where ICE is present so that illegal aliens, primarily

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Speaker 1: illegal alien criminals, remember that is who is being targeted

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Speaker 1: by ICE, primarily the people who are just the the

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Speaker 1: innocent quote unquote nanny is their big story and the

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Speaker 1: state media today about a nanny who is just oh,

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Speaker 1: she was wrapped up in an ice nightmare. These people

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Speaker 1: are being taken in because oftentimes they are with known criminals.

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Speaker 1: They also have to happen to be illegal. They also

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Speaker 1: happen to have come back into the country following a

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Speaker 1: removal order or previous deportation, they're removed again. I mean,

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Speaker 1: this is federal immigration law one oh one. But Libs

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Speaker 1: just can't handle this. So they actually have what are

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Speaker 1: called ICE verifiers who are actually taking the calls that

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Speaker 1: are coming into these hotlines warning illegal aliens, usually illegal

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Speaker 1: alien criminals, that ICE agents are coming for them to

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Speaker 1: serve valid warrants. This is at its heart obstruction. So

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Speaker 1: what they do is they take the call, then they

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Speaker 1: go into the neighborhoods they say, oh, yeah, ICE is there.

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Speaker 1: We better warn a whole bunch of people, to which

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Speaker 1: I reply, Imagine if I was using this radio station

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Speaker 1: and all of the law enforcement sources, I have to

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Speaker 1: compile a list of all of the people who are

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Speaker 1: going to have warrants served against them by, say, the

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Speaker 1: Milwaukee Police Department. Because I so hate the Milwaukee Police Department.

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Speaker 1: Hypothetical example that I just believe they are a corrupt organization.

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Speaker 2: They are early rotten to the corps. Imagine if I was.

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Speaker 1: Just reading off hey John Smith, who lives at thirteen

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Speaker 1: forty two West seventy sixth Street, the Milwaukee Police Department

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Speaker 1: has a warrant for r arrest, you have better high

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Speaker 1: tail it out of there. That's obstruction of justice. That's

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Speaker 1: exactly what is going on here. And now mt EA,

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Speaker 1: the Milwaukee Teachers Union, is getting in on the act.

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Speaker 1: Guess what organization they are partnering with for their very

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Speaker 1: own ICE verifier training, which is going to happen Thursday,

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Speaker 1: December fourth at MTEA headquarters from five to seven pm.

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Speaker 1: VOSIS de Law Fronta, the Illegal Alien advocacy group through

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Speaker 1: their comy te Scene FRONTRAS. According to a flyer sent

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Speaker 1: out to mt EA memor either today or yesterday, this

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Speaker 1: is quote in response to the Trump administration's cruel stance

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Speaker 1: towards undocumented residents, many of whom are our student's, MPs

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Speaker 1: staff members and families.

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Speaker 2: They are holding.

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Speaker 1: This training training includes primary responsibilities of verifiers, which include

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Speaker 1: confirming ICE presence, recording agents, and reporting details back to

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Speaker 1: personnel in the VOSSAS office. Folks, this is actual interference

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Speaker 1: with valid law enforcement operations. No matter how much you

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Speaker 1: hate ICE, this does not authorize you to interfere with

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Speaker 1: what it is that they are doing. Also, how to

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Speaker 1: respond if ICE is present, know your rights overview and

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Speaker 1: safe protocols. Verifiers should never put themselves at risk or

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Speaker 1: escalate situations. Verifiers work in pairs or groups and never alone.

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Speaker 1: So if you are an MTEA member and you want

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Speaker 1: to obstruct some justice, Thursday, December fourth at MTA five

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Speaker 1: to seven pm, you can learn exactly how. I don't

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Speaker 1: know what it is about Today's TMJ four, the Milwaukee

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Speaker 1: NBC affiliate, but we have not one, but two straight

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Speaker 1: based stories coming from their reporters, although this one is

433
00:29:28,640 --> 00:29:35,240
Speaker 1: sort of unintentionally based. A lib who for a long

434
00:29:35,320 --> 00:29:40,280
Speaker 1: time has worked at the Milwaukee Urban Stables as a

435
00:29:40,400 --> 00:29:45,800
Speaker 1: volunteer lost her job a couple of weeks ago because

436
00:29:45,920 --> 00:29:50,520
Speaker 1: she was screaming about what she believed to be ice

437
00:29:50,600 --> 00:29:55,840
Speaker 1: agents staging at a stable that is used by the

438
00:29:55,840 --> 00:30:00,680
Speaker 1: Milwaukee Police Department. Ben Jordan of today's TA J four

439
00:30:00,800 --> 00:30:01,480
Speaker 1: has the store.

440
00:30:01,520 --> 00:30:03,520
Speaker 2: Are you allowed on the property anymore? I don't know,

441
00:30:04,000 --> 00:30:04,320
Speaker 2: I don't.

442
00:30:04,400 --> 00:30:06,360
Speaker 4: I just it's not a line I'm willing to cross.

443
00:30:06,480 --> 00:30:10,400
Speaker 5: After two years of volunteering at Milwaukee Urban Stables.

444
00:30:09,960 --> 00:30:12,680
Speaker 6: Being dismissed from your volunteer duties really means you don't

445
00:30:12,680 --> 00:30:13,560
Speaker 6: have any business here.

446
00:30:13,720 --> 00:30:17,280
Speaker 5: Heather asi Yanbi says the nonprofit that combines the Milwaukee

447
00:30:17,280 --> 00:30:23,680
Speaker 5: Police Departments mounted patrol horses with a mental wellness program

448
00:30:23,720 --> 00:30:26,880
Speaker 5: for at risk youth and veterans no longer wants her here.

449
00:30:27,000 --> 00:30:30,400
Speaker 6: We deal with kids who have various traumatic things, or

450
00:30:30,600 --> 00:30:33,120
Speaker 6: just kids in general shouldn't see things like that.

451
00:30:33,160 --> 00:30:37,719
Speaker 1: It's because, okay, okay, do you know how bad you

452
00:30:37,880 --> 00:30:42,200
Speaker 1: have to screw up to be fired as a volunteer

453
00:30:43,680 --> 00:30:46,520
Speaker 1: when you are working for this organization for free and

454
00:30:46,560 --> 00:30:52,200
Speaker 1: they say, no, thanks, we're all good. It is because

455
00:30:52,520 --> 00:30:59,440
Speaker 1: Heather just couldn't keep her unhinged liberal instincts at bed.

456
00:30:59,600 --> 00:31:02,720
Speaker 5: Last time Heather was here on October twenty ninth, she

457
00:31:02,800 --> 00:31:06,240
Speaker 5: says she found these masked law enforcement officers staging in

458
00:31:06,280 --> 00:31:09,280
Speaker 5: the parking lot. It was shocking and told them to leave.

459
00:31:09,600 --> 00:31:15,640
Speaker 1: Okay, okay, Remember this urban stable is used by Milwaukee

460
00:31:15,720 --> 00:31:21,000
Speaker 1: Police mounted horse patrol units. This is a law enforcement

461
00:31:21,120 --> 00:31:25,960
Speaker 1: facility that also happens to do therapeutic riding. And I'm

462
00:31:26,000 --> 00:31:29,880
Speaker 1: a big supporter of these organizations special needs at risk kids.

463
00:31:30,160 --> 00:31:34,440
Speaker 1: They do very very well when they're doing like horseback stuff,

464
00:31:34,520 --> 00:31:39,360
Speaker 1: dealing with horses. It's just it's incredibly good therapeutically. But

465
00:31:39,480 --> 00:31:43,040
Speaker 1: this woman was shocked that there are law enforcement officers

466
00:31:43,120 --> 00:31:46,800
Speaker 1: at the law enforcement facility is what she's saying.

467
00:31:46,800 --> 00:31:49,080
Speaker 6: Very well could be the station for an ICE rate.

468
00:31:49,800 --> 00:31:52,000
Speaker 6: And so I said to him, you can't be here

469
00:31:52,480 --> 00:31:54,600
Speaker 6: like we go learning and therapy here.

470
00:31:54,880 --> 00:31:59,480
Speaker 1: Heather, Okay, okay, she says to the ICE agents, you

471
00:31:59,640 --> 00:32:00,840
Speaker 1: can't be here.

472
00:32:02,000 --> 00:32:02,320
Speaker 2: Now.

473
00:32:02,640 --> 00:32:07,960
Speaker 1: Why are they wearing masks because of people exactly like Heather,

474
00:32:08,640 --> 00:32:12,280
Speaker 1: Because people like Heather are the ones who are so

475
00:32:12,800 --> 00:32:17,280
Speaker 1: offended by the presence of law enforcement agents conducting legitimate

476
00:32:17,320 --> 00:32:20,920
Speaker 1: law enforcement activities that they have been trying to dox

477
00:32:21,160 --> 00:32:27,040
Speaker 1: ICE agents across the country. Now, fortunately Heather didn't do that.

478
00:32:27,480 --> 00:32:28,960
Speaker 1: She just started screaming.

479
00:32:29,160 --> 00:32:32,680
Speaker 5: Says she didn't see Immigration and Customs Enforcement or ICE

480
00:32:32,760 --> 00:32:35,800
Speaker 5: on any of their uniforms, but she did observe agents

481
00:32:35,840 --> 00:32:39,600
Speaker 5: wearing these vests that say ER. It stands for Enforcement

482
00:32:39,680 --> 00:32:44,520
Speaker 5: and Removal Operations, which is an ICE agency. It remains

483
00:32:44,600 --> 00:32:47,640
Speaker 5: unclear why this group of officers was staged here, but.

484
00:32:48,400 --> 00:32:55,720
Speaker 1: Okay, Ben Jordan, Reporter TMJ four. It's a law enforcement area.

485
00:32:56,320 --> 00:33:01,560
Speaker 1: There are law enforcement officers there. They work with local

486
00:33:01,720 --> 00:33:03,240
Speaker 1: law enforcement officer.

487
00:33:03,360 --> 00:33:07,440
Speaker 5: Heather says they left within minutes at her request. Hours later,

488
00:33:07,560 --> 00:33:10,880
Speaker 5: Heather tells me she received this email from the nonprofits

489
00:33:10,960 --> 00:33:15,960
Speaker 5: leader saying her volunteer service with Milwaukee Urban Stables has ended.

490
00:33:15,840 --> 00:33:18,520
Speaker 6: What wall things to the effect of, you had no

491
00:33:18,640 --> 00:33:19,200
Speaker 6: right to do that.

492
00:33:20,440 --> 00:33:20,959
Speaker 2: They didn't.

493
00:33:21,240 --> 00:33:26,520
Speaker 7: She didn't, She absolutely didn't. The nonprofit has to share

494
00:33:26,600 --> 00:33:31,160
Speaker 7: the space with law enforcement officers from the Milwaukee Police Department.

495
00:33:31,440 --> 00:33:35,160
Speaker 7: They can't have some crazy woman every time. What happens

496
00:33:35,160 --> 00:33:38,840
Speaker 7: if she sees the SWAT team, if they have big,

497
00:33:39,040 --> 00:33:42,560
Speaker 7: scary looking guns, is she gonna start screaming at them too?

498
00:33:42,720 --> 00:33:46,520
Speaker 5: Vested an on camera interview with Milwaukee Urban Stables leadership team.

499
00:33:46,800 --> 00:33:49,960
Speaker 5: They declined instead of public relations firm sent me a

500
00:33:50,040 --> 00:33:53,040
Speaker 5: statement that says this was a one time incident and

501
00:33:53,120 --> 00:33:56,840
Speaker 5: occurred without the knowledge or permission of Milwaukee Urban Stables.

502
00:33:57,320 --> 00:33:59,720
Speaker 5: It goes on to say, while the volunteer has a

503
00:33:59,800 --> 00:34:02,960
Speaker 5: right to express their thoughts, those should have been first

504
00:34:03,040 --> 00:34:04,920
Speaker 5: brought directly to staff members.

505
00:34:05,000 --> 00:34:06,040
Speaker 2: How did that make you feel?

506
00:34:06,080 --> 00:34:09,200
Speaker 6: It's very hard to stun me into speechlessness. But I

507
00:34:09,400 --> 00:34:12,320
Speaker 6: was very nearly at that point, because how is that Wait.

508
00:34:12,200 --> 00:34:16,799
Speaker 1: Wait, wait, wait, she's not speechless. She's still she was

509
00:34:17,040 --> 00:34:20,359
Speaker 1: very nearly speechless. But of course the woman who is

510
00:34:20,440 --> 00:34:25,160
Speaker 1: screaming at ice agents just randomly because she can't possibly

511
00:34:25,320 --> 00:34:28,400
Speaker 1: stomach law enforcement officers that she doesn't like, and she

512
00:34:28,440 --> 00:34:33,160
Speaker 1: thinks maybe they're staging for an ice ray or or

513
00:34:33,880 --> 00:34:40,080
Speaker 1: maybe they're just there. She was almost speechless, almost speechless.

514
00:34:40,080 --> 00:34:42,279
Speaker 1: I'm taking a wild guess it would take this woman.

515
00:34:42,480 --> 00:34:44,440
Speaker 1: It would take a lot for her to be rendered

516
00:34:44,520 --> 00:34:45,640
Speaker 1: actually speechless.

517
00:34:45,680 --> 00:34:49,480
Speaker 6: Be with you that this activity was taking place in

518
00:34:49,760 --> 00:34:52,839
Speaker 6: this environment specifically.

519
00:34:52,680 --> 00:34:54,880
Speaker 1: Okay what she was saying there. I know we've been

520
00:34:54,920 --> 00:34:57,120
Speaker 1: kind of going back and forth with me and the story.

521
00:34:57,239 --> 00:35:00,319
Speaker 1: She would say, it's okay with you that this sort

522
00:35:00,360 --> 00:35:05,239
Speaker 1: of activity is taking place within this environment, the Milwaukee

523
00:35:05,239 --> 00:35:10,080
Speaker 1: Police Department stable where yeah, you're you're gonna see cops

524
00:35:10,640 --> 00:35:16,200
Speaker 1: at the cops stable. I cannot get enough of this story.

525
00:35:16,719 --> 00:35:20,279
Speaker 1: As The Simpsons made famous the quote hook It to

526
00:35:20,560 --> 00:35:21,800
Speaker 1: my Veins.

527
00:35:21,480 --> 00:35:25,240
Speaker 5: Says she doesn't want her volunteer position back unless leadership

528
00:35:25,360 --> 00:35:26,799
Speaker 5: changes at the nonprofit.

529
00:35:27,040 --> 00:35:29,799
Speaker 6: I hope they understand what a special place the stables are,

530
00:35:30,000 --> 00:35:35,000
Speaker 6: but understand that leadership may be at odds right now

531
00:35:35,000 --> 00:35:35,640
Speaker 6: with that mission.

532
00:35:39,680 --> 00:35:41,880
Speaker 2: Oh poor Heather.

533
00:35:42,960 --> 00:35:48,560
Speaker 1: By the way, kudos to Milwaukee Urban Stables for recognizing

534
00:35:48,880 --> 00:35:54,160
Speaker 1: that this woman is very likely unstable and is probably

535
00:35:54,280 --> 00:35:57,759
Speaker 1: going to harm your relationship with the people that you

536
00:35:58,000 --> 00:36:04,280
Speaker 1: share this stable with and probably have use of this stable.

537
00:36:04,520 --> 00:36:07,279
Speaker 1: You have use of this stable very likely because the

538
00:36:07,360 --> 00:36:10,399
Speaker 1: condition is that the Milwaukee Police Department is also able

539
00:36:10,400 --> 00:36:14,040
Speaker 1: to use this stable for their horses. Kudos to you

540
00:36:14,160 --> 00:36:18,959
Speaker 1: for recognizing that this woman who just can't stomach any

541
00:36:19,080 --> 00:36:24,760
Speaker 1: law enforcement officers that she Heather personally disapproves of wearing

542
00:36:25,000 --> 00:36:29,600
Speaker 1: scary masks, might be doing something that she disapproves of.

543
00:36:29,920 --> 00:36:33,879
Speaker 1: Kudos to you, Milwaukee Urban Stables, for doing the right thing.

544
00:36:33,920 --> 00:36:35,640
Speaker 1: I'm taking a wild guess there will be a lot

545
00:36:35,680 --> 00:36:38,760
Speaker 1: of people in my listening audience who will be jumping

546
00:36:38,800 --> 00:36:42,280
Speaker 1: at the chance to volunteer for you and take Heather's place.

547
00:36:42,320 --> 00:36:46,240
Speaker 2: We'll be right back. Unhinged liberal of the day.

548
00:36:49,800 --> 00:37:04,280
Speaker 1: Nazi Germany Toff is dangerous because he's evil America over

549
00:37:04,640 --> 00:37:07,640
Speaker 1: today's unhinged liberal of the days. In fact, the liberal

550
00:37:07,760 --> 00:37:12,680
Speaker 1: from our last story, Heather who got fired as a

551
00:37:12,760 --> 00:37:17,919
Speaker 1: volunteer at Milwaukee Urban Stables after she freaked out when

552
00:37:18,000 --> 00:37:22,320
Speaker 1: she saw a group of ice agents near the Milwaukee

553
00:37:22,360 --> 00:37:28,120
Speaker 1: Police Department's mounted horses, which are also using that same

554
00:37:28,360 --> 00:37:32,920
Speaker 1: stable in Milwaukee. Today's TMJ four reporter Ben Jordan with

555
00:37:33,000 --> 00:37:33,840
Speaker 1: the story last.

556
00:37:33,640 --> 00:37:36,799
Speaker 5: Time Heather was here on October twenty ninth. She says

557
00:37:36,800 --> 00:37:40,120
Speaker 5: she found these masked law enforcement officers staging in the

558
00:37:40,160 --> 00:37:43,000
Speaker 5: parking lot. It was shocking and told them to leave.

559
00:37:43,239 --> 00:37:45,920
Speaker 4: This very well could be the station for an ice rate.

560
00:37:46,640 --> 00:37:48,839
Speaker 6: And so I said to him, you can't be here

561
00:37:49,320 --> 00:37:51,359
Speaker 6: like we go learning and therapy here.

562
00:37:53,320 --> 00:37:56,080
Speaker 2: It doesn't get old. This is my favorite story of

563
00:37:56,120 --> 00:37:57,120
Speaker 2: the entire week.

564
00:37:57,239 --> 00:38:03,200
Speaker 1: That woman, Heather, you're unhinged liberal of the day.

565
00:38:03,320 --> 00:38:05,000
Speaker 2: Coming up after the top of the hour.

566
00:38:05,040 --> 00:38:07,839
Speaker 1: Of course, we will get you caught up on everything

567
00:38:07,920 --> 00:38:11,919
Speaker 1: that happened in Washington with our daily Trump date. Yes,

568
00:38:12,040 --> 00:38:17,680
Speaker 1: the Epstein files are backfiring spectacularly on Democrats.

569
00:38:17,920 --> 00:38:20,200
Speaker 2: Will also debunk a very.

570
00:38:20,000 --> 00:38:23,920
Speaker 1: Popular lie that is now circulating in Wisconsin about Obamacare

571
00:38:24,080 --> 00:38:28,880
Speaker 1: subsidies expiring, and an interview with Young America's Foundation president

572
00:38:28,960 --> 00:38:32,000
Speaker 1: and former Governor Scott Walker. That's all coming up after

573
00:38:32,040 --> 00:38:32,839
Speaker 1: the top of the hour.

574
00:38:32,920 --> 00:38:33,240
Speaker 2: News.

575
00:38:34,400 --> 00:38:37,600
Speaker 1: I don't think I have ever seen an entire market,

576
00:38:37,640 --> 00:38:42,200
Speaker 1: an entire economy await the earnings results of a single

577
00:38:42,440 --> 00:38:45,719
Speaker 1: company like we have been counting down. It's like we've

578
00:38:45,760 --> 00:38:49,080
Speaker 1: had an advent calendar for the past week, counting down

579
00:38:49,640 --> 00:38:54,760
Speaker 1: until in video released its earnings beat expectations by three percent.

580
00:38:54,920 --> 00:38:59,080
Speaker 1: It was up three percent, reported in an earnings call

581
00:38:59,200 --> 00:39:03,280
Speaker 1: shortly after the markets closed about an hour ago. Now,

582
00:39:03,440 --> 00:39:06,040
Speaker 1: the thing about Nvidia is that it's been such a

583
00:39:06,120 --> 00:39:11,000
Speaker 1: high flyer that even beating expectations is not enough for

584
00:39:11,080 --> 00:39:15,520
Speaker 1: this company, which is now valued at I believe it

585
00:39:15,640 --> 00:39:18,920
Speaker 1: is fifty seven gajillion dollars. No, I think it's about

586
00:39:18,960 --> 00:39:23,279
Speaker 1: five trillion dollars. That is the valuation of Nvidia. It

587
00:39:23,400 --> 00:39:26,839
Speaker 1: is the company that makes almost all of the processing

588
00:39:26,960 --> 00:39:30,880
Speaker 1: chips that power pretty much every AI system. Is just

589
00:39:30,920 --> 00:39:35,040
Speaker 1: an incredibly valuable company, and it sort of serves to

590
00:39:35,160 --> 00:39:40,279
Speaker 1: illustrate all of the outsize attention to Innvidia's earnings and

591
00:39:40,320 --> 00:39:43,520
Speaker 1: how that's going to shape the market. It draws attention

592
00:39:43,600 --> 00:39:47,960
Speaker 1: to the fact that the highest of high flyers, the Googles,

593
00:39:48,200 --> 00:39:54,000
Speaker 1: the Pallenteers, the NVIDIAs, the Teslas, they have basically carried

594
00:39:54,200 --> 00:39:58,200
Speaker 1: the so called Magnificent seven has carried pretty much the

595
00:39:58,400 --> 00:40:02,160
Speaker 1: entire stock market for the pas past several years. Because

596
00:40:02,200 --> 00:40:06,759
Speaker 1: of all of the optimism surrounding artificial intelligence, we sort

597
00:40:06,800 --> 00:40:10,720
Speaker 1: of dived into this what AI is potentially.

598
00:40:10,200 --> 00:40:13,600
Speaker 2: Capable of yesterday, and.

599
00:40:13,560 --> 00:40:16,759
Speaker 1: I don't want to sort of rehash that discussion, but

600
00:40:17,320 --> 00:40:22,240
Speaker 1: there's a very interesting sort of dichotomy at play. People

601
00:40:22,600 --> 00:40:28,640
Speaker 1: remember the Internet bust. The Internet boom was so overbought

602
00:40:28,680 --> 00:40:31,560
Speaker 1: because people rightly assumed that this was going to change,

603
00:40:31,600 --> 00:40:35,120
Speaker 1: This new technological innovation was going to change everything, and

604
00:40:35,239 --> 00:40:39,400
Speaker 1: twenty five thirty years later, obviously it did. Artificial intelligence

605
00:40:39,440 --> 00:40:41,399
Speaker 1: is going to be the same thing, but there are

606
00:40:41,480 --> 00:40:44,720
Speaker 1: going to be some hiccups along the way. Not every

607
00:40:44,840 --> 00:40:48,239
Speaker 1: company that does AI, or not every company that is

608
00:40:48,320 --> 00:40:53,239
Speaker 1: AI adjacent, like Nvidia is providing the hardware is going

609
00:40:53,239 --> 00:40:56,120
Speaker 1: to be a phenomenal success story. Everybody remembers twenty five

610
00:40:56,200 --> 00:41:00,200
Speaker 1: years ago the collapse of pets dot com. That is

611
00:41:00,239 --> 00:41:03,960
Speaker 1: sort of synonymous with the a or excuse me, the

612
00:41:04,000 --> 00:41:07,279
Speaker 1: Internet bubble. What was the other one, diapers dot Com?

613
00:41:07,600 --> 00:41:09,799
Speaker 1: Was that another one that went bus? Pets dot Com

614
00:41:09,880 --> 00:41:11,920
Speaker 1: is the one I remember because everybody remembers though it

615
00:41:11,960 --> 00:41:15,200
Speaker 1: was that the sock puppet mascot. It sort of became

616
00:41:15,880 --> 00:41:19,840
Speaker 1: emblematic of people who were just sort of baselessly speculating

617
00:41:20,280 --> 00:41:23,879
Speaker 1: in companies that just weren't able to provide earnings that

618
00:41:23,960 --> 00:41:29,160
Speaker 1: matched the expectations. Well, here it's the exact opposite. Companies

619
00:41:29,200 --> 00:41:31,640
Speaker 1: like in video companies like Palanteer are just putting up

620
00:41:31,760 --> 00:41:35,959
Speaker 1: amazing earnings. But because people are thinking, and I think

621
00:41:36,000 --> 00:41:39,560
Speaker 1: investors are thinking along the same lines that I am.

622
00:41:39,840 --> 00:41:45,640
Speaker 1: That artificial intelligence, combined with advances in robotics technology and

623
00:41:45,880 --> 00:41:51,920
Speaker 1: autonomous driving, autonomous transportation more generally flying and ship piloting

624
00:41:52,120 --> 00:41:56,799
Speaker 1: as well, is going to make the Internet revolution look

625
00:41:56,880 --> 00:41:59,520
Speaker 1: positively small. That this is going to be more akin

626
00:41:59,560 --> 00:42:03,240
Speaker 1: to the Austrial Revolution, where just everything our entire way

627
00:42:03,280 --> 00:42:08,120
Speaker 1: of life as a species changed. Obviously, I am very

628
00:42:08,160 --> 00:42:15,040
Speaker 1: fascinated in this. I have always been somewhat obsessed with futurism,

629
00:42:15,080 --> 00:42:17,759
Speaker 1: the idea like where is technology? Where are we going

630
00:42:17,840 --> 00:42:19,759
Speaker 1: to be in one hundred years? I think it's part

631
00:42:19,800 --> 00:42:24,480
Speaker 1: and parcel of my twin obsession with history. It's well,

632
00:42:24,480 --> 00:42:27,400
Speaker 1: it's what I do for a living, sort of studying

633
00:42:27,680 --> 00:42:31,440
Speaker 1: the human species, studying the human condition, trying to figure

634
00:42:31,440 --> 00:42:35,200
Speaker 1: out where we were and use that knowledge to figure

635
00:42:35,239 --> 00:42:37,279
Speaker 1: out where it is we're going. That's why I think

636
00:42:37,320 --> 00:42:41,399
Speaker 1: I've always been drawn to politics, because ultimately it's the

637
00:42:41,480 --> 00:42:46,280
Speaker 1: study of human nature. Ultimately it's the law, it's psychology,

638
00:42:46,680 --> 00:42:50,960
Speaker 1: it's sociology all rolled into one, and I could talk

639
00:42:51,000 --> 00:42:53,960
Speaker 1: about this obviously for the next five hours, but we

640
00:42:54,000 --> 00:42:56,160
Speaker 1: want to get you caught up on what was going

641
00:42:56,160 --> 00:42:57,360
Speaker 1: on in Washington today.

642
00:42:57,400 --> 00:42:58,960
Speaker 2: Time now for the daily Trump Day.

643
00:43:00,080 --> 00:43:02,800
Speaker 8: We're gonna win so much you may even get tired

644
00:43:02,840 --> 00:43:04,280
Speaker 8: of winning.

645
00:43:04,320 --> 00:43:06,440
Speaker 2: It is a win for the administration.

646
00:43:06,640 --> 00:43:09,760
Speaker 4: It's also a big win for the United States.

647
00:43:09,800 --> 00:43:12,320
Speaker 2: We have to keep winning. We have to win more.

648
00:43:12,719 --> 00:43:13,760
Speaker 2: We're gonna win more.

649
00:43:14,360 --> 00:43:19,320
Speaker 1: President Trump today touting the new agreement signed with Saudi

650
00:43:19,440 --> 00:43:23,440
Speaker 1: Arabia yesterday as he welcomed the Crown Prince of the country,

651
00:43:23,520 --> 00:43:24,600
Speaker 1: Mohammed bin Salman.

652
00:43:24,800 --> 00:43:28,440
Speaker 8: Under the deals being signed this week, the world's two

653
00:43:28,520 --> 00:43:33,360
Speaker 8: leading energy superpowers, American Saudi Arabia are partnering on energy

654
00:43:33,480 --> 00:43:38,319
Speaker 8: like we've never partnered before. American Saudi companies represented here

655
00:43:38,360 --> 00:43:46,160
Speaker 8: today are joining on liquefied natural gas infrastructure constructions and

656
00:43:46,239 --> 00:43:49,600
Speaker 8: making both of our energy sections. I mean, our sectors

657
00:43:49,600 --> 00:43:50,760
Speaker 8: are becoming so strong.

658
00:43:51,400 --> 00:43:56,160
Speaker 1: The President, speaking today at the US Saudi Investment Forum,

659
00:43:56,280 --> 00:44:01,680
Speaker 1: and touted all of the investment that sood Arabia has done,

660
00:44:02,280 --> 00:44:06,480
Speaker 1: all of the investments from foreign countries and foreign companies

661
00:44:06,560 --> 00:44:09,319
Speaker 1: that he says, in just a short time he's been

662
00:44:09,360 --> 00:44:13,560
Speaker 1: in office, have totaled eighteen trillion US.

663
00:44:13,239 --> 00:44:16,240
Speaker 2: Dollars in four long years.

664
00:44:17,120 --> 00:44:22,080
Speaker 8: Joe Biden secured less than one trillion dollars in nine

665
00:44:22,200 --> 00:44:28,200
Speaker 8: short months. I've secured eighteen trillion dollars to rebuild our factories,

666
00:44:28,719 --> 00:44:32,120
Speaker 8: create hundreds of thousands of jobs, and bring back those

667
00:44:32,840 --> 00:44:34,720
Speaker 8: beautiful words made in America.

668
00:44:34,800 --> 00:44:38,200
Speaker 2: So think of that. He did less than a trillion

669
00:44:38,239 --> 00:44:39,439
Speaker 2: in four years.

670
00:44:39,640 --> 00:44:43,960
Speaker 8: And in nine months we've done more than eighteen trillion dollars. Okay.

671
00:44:44,320 --> 00:44:49,320
Speaker 1: The President also compared his tenure with that of President

672
00:44:49,400 --> 00:44:53,920
Speaker 1: Biden on job creation, saying all of President Biden's net

673
00:44:54,040 --> 00:44:57,800
Speaker 1: job gains were in government, while under the first nine

674
00:44:57,840 --> 00:45:02,480
Speaker 1: months of his administration, every single job has been in

675
00:45:02,520 --> 00:45:03,759
Speaker 1: the private Second.

676
00:45:03,480 --> 00:45:07,000
Speaker 8: One point nine million more American born workers are employed today.

677
00:45:07,000 --> 00:45:09,000
Speaker 8: I think of that the one I took office, so

678
00:45:09,040 --> 00:45:14,360
Speaker 8: we picked up almost two million workers, and more Americans

679
00:45:14,360 --> 00:45:17,200
Speaker 8: are now working. As I said, at any time in

680
00:45:17,239 --> 00:45:20,400
Speaker 8: the history of our country, under Biden, one out of

681
00:45:20,480 --> 00:45:23,600
Speaker 8: every four new jobs went to increase the size of

682
00:45:23,640 --> 00:45:26,360
Speaker 8: the federal government. So, in other words, one out of

683
00:45:26,360 --> 00:45:30,120
Speaker 8: four was a federal worker. Well, I love our federal workers,

684
00:45:30,160 --> 00:45:33,480
Speaker 8: but that's not the way you can build a country.

685
00:45:33,840 --> 00:45:35,920
Speaker 8: It's a short road to a disaster.

686
00:45:37,239 --> 00:45:41,279
Speaker 1: The President also made some pretty sizable news today confirming

687
00:45:41,400 --> 00:45:46,000
Speaker 1: that yes, there will be two thousand dollars dividend checks.

688
00:45:46,040 --> 00:45:49,359
Speaker 1: Don't you dare call them stimulus checks. These are dividend

689
00:45:49,640 --> 00:45:52,400
Speaker 1: checks as a result of all of the revenue that

690
00:45:52,440 --> 00:45:55,399
Speaker 1: the United States is taking in from tariffs, and those

691
00:45:55,440 --> 00:45:59,000
Speaker 1: are going to go out to lower and middle income Americans.

692
00:45:59,200 --> 00:46:03,680
Speaker 8: Next year, be doing a dividend to the people low

693
00:46:03,719 --> 00:46:07,400
Speaker 8: and middle income, moderate income people of at least two

694
00:46:07,480 --> 00:46:10,200
Speaker 8: thousand dollars. In addition to that, we'll be paying down

695
00:46:10,280 --> 00:46:13,160
Speaker 8: debt very substantially. It's kind of money we're taking in.

696
00:46:13,840 --> 00:46:17,560
Speaker 8: And really, countries that took advantage of us are no

697
00:46:17,640 --> 00:46:20,680
Speaker 8: longer taking advantage of us. Friends, some of our friends

698
00:46:20,719 --> 00:46:24,160
Speaker 8: treated as far worse than our enemies on trade anyway,

699
00:46:24,200 --> 00:46:27,240
Speaker 8: And we've got that all straightened out, and everybody's happy

700
00:46:27,280 --> 00:46:29,840
Speaker 8: they respect us again. You know, it's like one of

701
00:46:29,880 --> 00:46:31,879
Speaker 8: those things, I think they like us better and they

702
00:46:31,920 --> 00:46:34,319
Speaker 8: actually respect us, and it works out much better for

703
00:46:34,400 --> 00:46:34,799
Speaker 8: us too.

704
00:46:35,440 --> 00:46:39,200
Speaker 1: That ladies and gentlemen, your daily Trump date. I continue

705
00:46:39,239 --> 00:46:43,240
Speaker 1: to register my very strong objection to this. The single

706
00:46:43,280 --> 00:46:49,200
Speaker 1: biggest enemy that we face as an American economy is affordability.

707
00:46:50,080 --> 00:46:55,520
Speaker 1: The prices of pretty much everything exploded under President Biden

708
00:46:56,160 --> 00:47:02,160
Speaker 1: because of the exact thing that President Trump is proposing.

709
00:47:02,560 --> 00:47:08,200
Speaker 1: He is increasing demand. Okay, increasing demand by giving out money.

710
00:47:08,440 --> 00:47:12,560
Speaker 1: When you have more money, there is more demand for

711
00:47:12,719 --> 00:47:16,719
Speaker 1: pretty much everything, every good, every service, if there is

712
00:47:16,840 --> 00:47:23,000
Speaker 1: not a corresponding increase in supply. Basic economics tells us

713
00:47:23,880 --> 00:47:28,200
Speaker 1: that the prices go up as people are bidding up

714
00:47:28,400 --> 00:47:35,640
Speaker 1: the goods and services to get scarcer of them. When

715
00:47:35,680 --> 00:47:41,040
Speaker 1: goods and services become scarcer. For example, let's say my

716
00:47:41,160 --> 00:47:44,880
Speaker 1: producer Eric wants to go get a pedicure. He is

717
00:47:45,400 --> 00:47:49,319
Speaker 1: a very pretty man. He wants to make sure his

718
00:47:49,640 --> 00:47:52,640
Speaker 1: dogs are not barkin for a big night on the town.

719
00:47:52,680 --> 00:47:55,040
Speaker 1: I don't know if he's planning on wearing some stiletto

720
00:47:55,080 --> 00:47:56,480
Speaker 1: heels or what, but he wants to go out and

721
00:47:56,480 --> 00:48:00,560
Speaker 1: get a pedicure. A pedicure is something of a luxury item.

722
00:48:00,800 --> 00:48:02,400
Speaker 2: I have no idea. I've never had one with a

723
00:48:02,440 --> 00:48:03,400
Speaker 2: fifty sixty bucks.

724
00:48:03,440 --> 00:48:04,960
Speaker 1: I don't even know. I have no idea what a

725
00:48:04,960 --> 00:48:10,759
Speaker 1: pedicure costs. Let's say it's fifty dollars Eric, because we

726
00:48:10,880 --> 00:48:15,040
Speaker 1: pay him incredibly good wages here at the Dan O'Donnell show.

727
00:48:16,239 --> 00:48:17,160
Speaker 2: Pause for laughter.

728
00:48:19,800 --> 00:48:22,560
Speaker 1: I'm teasing. Eric actually makes a very very good living.

729
00:48:22,600 --> 00:48:26,680
Speaker 1: He's also doing great work on TV. Check him out

730
00:48:27,200 --> 00:48:33,840
Speaker 1: on the fantastic show Discover Wisconsin. But let's say not

731
00:48:33,960 --> 00:48:38,000
Speaker 1: everybody has a spare fifty dollars to spend on a pedicure.

732
00:48:40,200 --> 00:48:42,879
Speaker 1: All of a sudden, though, everybody has a spare two

733
00:48:42,960 --> 00:48:47,080
Speaker 1: thousand dollars to spend on whatever it is. They like, well,

734
00:48:47,360 --> 00:48:50,920
Speaker 1: this is a problem because now more people are booking

735
00:48:51,000 --> 00:48:54,760
Speaker 1: pedicures and Eric might have a more difficult time getting

736
00:48:54,760 --> 00:49:02,880
Speaker 1: an appointment. There are the exact same number of pedicurests, right, manicurist, pedicurist,

737
00:49:03,400 --> 00:49:06,879
Speaker 1: They're the exact same number of nail techs that there

738
00:49:06,960 --> 00:49:11,960
Speaker 1: were before Eric and everybody else got two thousand extra dollars.

739
00:49:12,560 --> 00:49:16,160
Speaker 1: If more people because of that two thousand dollars, they

740
00:49:16,200 --> 00:49:19,120
Speaker 1: go out and spend it, and a whole bunch of

741
00:49:19,160 --> 00:49:23,319
Speaker 1: women and beauty conscious men like Eric go out and

742
00:49:23,360 --> 00:49:24,440
Speaker 1: get pedicures.

743
00:49:25,040 --> 00:49:27,880
Speaker 2: They're all competing for the exact.

744
00:49:27,480 --> 00:49:31,640
Speaker 1: Same number of pedicureists, and there is a finite amount

745
00:49:31,640 --> 00:49:35,280
Speaker 1: of time that is available for each pedicurist to work

746
00:49:35,360 --> 00:49:39,520
Speaker 1: on each foot. So what happens, you really really want

747
00:49:39,520 --> 00:49:43,480
Speaker 1: that pedicure, You're going to pay more than fifty dollars

748
00:49:43,520 --> 00:49:46,520
Speaker 1: to bump an appointment that may be paid fifty dollars.

749
00:49:46,600 --> 00:49:49,600
Speaker 1: You are now willing to pay sixty five dollars. The

750
00:49:49,640 --> 00:49:52,399
Speaker 1: pedicurist sees this and says, hey, wait a second way

751
00:49:52,400 --> 00:49:55,000
Speaker 1: to say, we have got now a whole new client

752
00:49:55,160 --> 00:49:58,640
Speaker 1: base that is willing to pay sixty five dollars per pedicure.

753
00:49:59,040 --> 00:50:01,320
Speaker 2: Why am I paying fifty dollars?

754
00:50:01,320 --> 00:50:01,480
Speaker 9: Now?

755
00:50:01,480 --> 00:50:04,480
Speaker 1: It's not just that it is the cost of nail

756
00:50:04,560 --> 00:50:07,359
Speaker 1: polish is going up because to meet this demand, You've

757
00:50:07,400 --> 00:50:12,480
Speaker 1: got more pedicurists who are getting in the foot polishing game.

758
00:50:14,920 --> 00:50:19,880
Speaker 1: And you see how supply chains impact the broader economy

759
00:50:19,920 --> 00:50:22,440
Speaker 1: when the price of everything goes up when there is

760
00:50:22,680 --> 00:50:27,640
Speaker 1: more money available. Now, the counter argument to this is

761
00:50:27,680 --> 00:50:31,440
Speaker 1: that it wasn't actually the thousand dollars stimmy checks that

762
00:50:31,520 --> 00:50:34,840
Speaker 1: President Biden was just handing out like candy at the

763
00:50:34,840 --> 00:50:38,200
Speaker 1: outset of his term. That was small potatoes compared to

764
00:50:38,320 --> 00:50:42,839
Speaker 1: the massive increase in government spending because of all of

765
00:50:42,880 --> 00:50:46,880
Speaker 1: the government stimulus, all of the COVID relief money that

766
00:50:47,040 --> 00:50:51,160
Speaker 1: was being squirreled away and then spent in massive amounts

767
00:50:51,360 --> 00:50:55,280
Speaker 1: by pretty much every government agency in the country. Since

768
00:50:55,320 --> 00:50:59,680
Speaker 1: we are having actually a reduction in the size of

769
00:50:59,680 --> 00:51:03,600
Speaker 1: govern thanks to DOZE and thanks to President Trump's other

770
00:51:03,840 --> 00:51:07,720
Speaker 1: work to try to reduce the size and scope of government,

771
00:51:07,960 --> 00:51:10,720
Speaker 1: the counter argument would be, Okay, this is providing people

772
00:51:10,840 --> 00:51:13,399
Speaker 1: relief those who need it, those who I guess are

773
00:51:13,440 --> 00:51:17,279
Speaker 1: making under one hundred thousand dollars per year, while we

774
00:51:17,440 --> 00:51:21,200
Speaker 1: don't have the massive billions and billions and billions of

775
00:51:21,239 --> 00:51:25,120
Speaker 1: dollars being pumped into government spending. At any time government

776
00:51:25,200 --> 00:51:28,080
Speaker 1: is coming in and competing with the private sector in

777
00:51:28,120 --> 00:51:31,480
Speaker 1: the purchase of goods and services, which it was during

778
00:51:31,480 --> 00:51:35,919
Speaker 1: the COVID era, that is a recipe for absolute disaster.

779
00:51:36,320 --> 00:51:39,680
Speaker 1: We will talk with former Governor Scott Walker coming up first.

780
00:51:39,800 --> 00:51:40,120
Speaker 2: Though.

781
00:51:40,640 --> 00:51:45,640
Speaker 1: We are seeing the Epstein files blow up in Democrats' faces,

782
00:51:48,719 --> 00:51:52,640
Speaker 1: so we think we might know why Democrats have been

783
00:51:52,840 --> 00:52:00,440
Speaker 1: avoiding censure in the House of Representatives. Florida Republican Hory

784
00:52:00,560 --> 00:52:04,799
Speaker 1: Mills is now on the hot seat after it was

785
00:52:05,239 --> 00:52:09,200
Speaker 1: discovered that he has made a deal with Democrats to

786
00:52:09,239 --> 00:52:13,759
Speaker 1: avoid an investigation into his shady behavior by refusing to

787
00:52:13,960 --> 00:52:18,759
Speaker 1: vote for censure for elon Omar over her anti Semitism,

788
00:52:18,920 --> 00:52:22,600
Speaker 1: or more recently, Stacy Plaskett, the delegate from the US

789
00:52:22,760 --> 00:52:28,040
Speaker 1: Virgin Islands who was actually honest to God, colluding with

790
00:52:28,200 --> 00:52:33,200
Speaker 1: Jeffrey Epstein during a hearing to try to nail Trump

791
00:52:33,360 --> 00:52:39,000
Speaker 1: while she questioned his then attorney, Michael Cohen. Mills apparently

792
00:52:39,280 --> 00:52:42,839
Speaker 1: is trying to save his own skin. He is now

793
00:52:42,920 --> 00:52:47,600
Speaker 1: facing a censure vote of his own forced by Anna

794
00:52:47,800 --> 00:52:53,000
Speaker 1: Paulina Luna, a fellow Republican Congresswoman Congress Representative.

795
00:52:54,560 --> 00:52:55,840
Speaker 2: This bears some.

796
00:52:55,760 --> 00:52:59,560
Speaker 1: Watching, and it would explain why Republicans have a very

797
00:52:59,680 --> 00:53:02,680
Speaker 1: very thin margin in the House can't seem to ever

798
00:53:02,800 --> 00:53:06,120
Speaker 1: get even a censure vote, which is just a rebuke,

799
00:53:06,280 --> 00:53:09,640
Speaker 1: That's all it is. It's a slap on the wrist.

800
00:53:11,200 --> 00:53:17,360
Speaker 1: This does illustrate, though, that Democrats are currently watching. Democrats

801
00:53:17,360 --> 00:53:21,520
Speaker 1: are sort of like Wiley Coyote, trying to catch Donald

802
00:53:21,520 --> 00:53:26,680
Speaker 1: Trump's road runner and perpetually surprised when the ACME products

803
00:53:26,719 --> 00:53:29,680
Speaker 1: they buy blow up in their faces. They are currently

804
00:53:29,719 --> 00:53:33,800
Speaker 1: watching the Epstein files blow up in their faces.

805
00:53:33,840 --> 00:53:34,640
Speaker 2: One of the most.

806
00:53:34,520 --> 00:53:40,200
Speaker 1: Respected left wing economists, the former president of Harvard University

807
00:53:40,719 --> 00:53:44,040
Speaker 1: Economic Hauncho in the I believe he was Treasury Secretary

808
00:53:44,120 --> 00:53:47,400
Speaker 1: under Bill Clinton. Also, he was one of Barack Obama's

809
00:53:47,440 --> 00:53:53,280
Speaker 1: top economic advisors. Lawrence Larry Summers has stepped back from

810
00:53:53,480 --> 00:53:57,560
Speaker 1: all of his public comments and all of his public

811
00:53:58,120 --> 00:54:03,760
Speaker 1: events because he was apparently asking Jeffrey Epstein for dating advice,

812
00:54:03,920 --> 00:54:08,000
Speaker 1: which is probably the single most sleazy thing a human

813
00:54:08,040 --> 00:54:11,880
Speaker 1: being could do. This is how Professor Summers opened up

814
00:54:11,960 --> 00:54:13,880
Speaker 1: one of his classes this morning.

815
00:54:13,960 --> 00:54:18,920
Speaker 10: You will assume my statement code regret expressing my shame.

816
00:54:19,840 --> 00:54:25,440
Speaker 8: With respect to what I did communication with miss Evstein.

817
00:54:25,960 --> 00:54:27,120
Speaker 11: And that I've studied.

818
00:54:27,200 --> 00:54:30,400
Speaker 9: I'm going to step back on the activities.

819
00:54:30,280 --> 00:54:33,920
Speaker 11: But for a time, but I think it's very important until.

820
00:54:33,719 --> 00:54:35,080
Speaker 8: My teaching obligations.

821
00:54:35,600 --> 00:54:39,200
Speaker 10: And so with your infermission, we're going to go forward

822
00:54:39,320 --> 00:54:43,080
Speaker 10: and talk about the material in the class.

823
00:54:43,400 --> 00:54:46,560
Speaker 1: Could you imagine one of those Harvard kids in the class.

824
00:54:47,080 --> 00:54:50,600
Speaker 1: Your professor opens up with, Yeah, so I'm in the

825
00:54:50,640 --> 00:54:55,920
Speaker 1: Epstein files and it's probably going to end my professional life.

826
00:54:56,000 --> 00:54:59,120
Speaker 1: But if you would turn to chapter seventeen, we do

827
00:54:59,200 --> 00:55:01,680
Speaker 1: have to get ready for our quiz on Friday. And

828
00:55:01,760 --> 00:55:06,719
Speaker 1: how about Delegate plas Get did herself no favors in

829
00:55:06,760 --> 00:55:10,960
Speaker 1: an interview on CNN Today in which she was grilled

830
00:55:11,520 --> 00:55:16,400
Speaker 1: over actually asking questions during a twenty nineteen hearing of

831
00:55:16,520 --> 00:55:21,120
Speaker 1: Michael Cohen that were fed to her via text by

832
00:55:21,800 --> 00:55:23,280
Speaker 1: Jeffrey Epstein.

833
00:55:23,400 --> 00:55:26,160
Speaker 12: I believe that Jeffrey Epstein had information, and I was

834
00:55:26,200 --> 00:55:30,040
Speaker 12: going to get information to get at the truth. Having

835
00:55:30,080 --> 00:55:34,720
Speaker 12: a real friendship with him is not something that I

836
00:55:35,120 --> 00:55:38,880
Speaker 12: would deem to have, and so I'm just looking forward.

837
00:55:38,920 --> 00:55:41,839
Speaker 12: I'm moving forward, and I think that that's what we

838
00:55:42,000 --> 00:55:45,319
Speaker 12: as American people should do, is move forward. If individuals

839
00:55:45,320 --> 00:55:51,640
Speaker 12: are not involved in illegal activity, extending his criminal enterprise

840
00:55:51,760 --> 00:55:55,319
Speaker 12: or his financial enterprise or all of those things, I

841
00:55:55,360 --> 00:55:57,560
Speaker 12: think that we need to look at what people are

842
00:55:57,600 --> 00:55:58,920
Speaker 12: doing moving forward.

843
00:55:59,360 --> 00:56:01,239
Speaker 2: Wait, let me just understand that what is that point?

844
00:56:01,280 --> 00:56:03,520
Speaker 6: Because at the time he was an sex offender and

845
00:56:03,560 --> 00:56:05,440
Speaker 6: it had been detailed all the sexual There are.

846
00:56:05,400 --> 00:56:07,760
Speaker 12: A lot of people who have done a lot of crimes,

847
00:56:08,120 --> 00:56:11,359
Speaker 12: and as a prosecutor, you get information from people where

848
00:56:11,360 --> 00:56:11,920
Speaker 12: you can.

849
00:56:14,680 --> 00:56:17,719
Speaker 2: Someone please get the shovel out of.

850
00:56:17,719 --> 00:56:22,040
Speaker 1: Stacy Plaskeat's hands, because that hole she's digging just keeps

851
00:56:22,160 --> 00:56:26,279
Speaker 1: getting deeper. Yeah, yeah, so I think we all just

852
00:56:26,400 --> 00:56:28,319
Speaker 1: need to move on, you know, he was just he

853
00:56:28,440 --> 00:56:31,399
Speaker 1: was just a guy I was getting information from.

854
00:56:32,360 --> 00:56:32,960
Speaker 2: Yeah.

855
00:56:32,760 --> 00:56:36,480
Speaker 1: Uh, but Delegate Plasket, he was a known sex offender

856
00:56:37,280 --> 00:56:39,759
Speaker 1: and had been convicted for about a decade when you

857
00:56:39,800 --> 00:56:40,720
Speaker 1: were trying to dig.

858
00:56:40,640 --> 00:56:41,319
Speaker 2: Up dirt on Trump.

859
00:56:41,440 --> 00:56:45,719
Speaker 1: Yeah, yeah, you know who hasn't who hasn't been convicted

860
00:56:45,760 --> 00:56:49,320
Speaker 1: of sexual crimes. Besides, I really really wanted that dirt

861
00:56:49,440 --> 00:56:52,239
Speaker 1: on Trump, so you know, you get your hands a

862
00:56:52,280 --> 00:56:59,120
Speaker 1: little dirty in that. Nowhere is the the Democrat fake

863
00:56:59,320 --> 00:57:03,480
Speaker 1: outrage over the Jeffrey Epstein files and basically the entire

864
00:57:03,560 --> 00:57:08,520
Speaker 1: Epstein affair more evident than when it comes to Stacey Plaskett.

865
00:57:08,600 --> 00:57:12,880
Speaker 1: She was actually colluding with one of the worst pedophiles

866
00:57:12,960 --> 00:57:19,120
Speaker 1: in American history, right that we're all Jeffrey Epstein is

867
00:57:19,200 --> 00:57:23,120
Speaker 1: a monster. He was trafficking girls. He was a horrible

868
00:57:23,160 --> 00:57:28,640
Speaker 1: human being. You have a Democrat delegate colluding with him

869
00:57:29,160 --> 00:57:32,280
Speaker 1: in a congressional hearing to try to get dirt on

870
00:57:32,400 --> 00:57:38,440
Speaker 1: Donald Trump. Not a single Democrat voted to censure her.

871
00:57:39,240 --> 00:57:44,320
Speaker 1: In fact, they all rose to her defense. Jamie Raskin,

872
00:57:45,040 --> 00:57:49,000
Speaker 1: a senior congressman he never met a CNN camera he

873
00:57:49,000 --> 00:57:51,520
Speaker 1: didn't like, got up on the floor of the House

874
00:57:51,600 --> 00:57:56,400
Speaker 1: yesterday and actually said, look, this was just to remember,

875
00:57:56,440 --> 00:57:59,120
Speaker 1: Epstein Island is in the US Virgin Islands.

876
00:57:59,160 --> 00:58:03,960
Speaker 2: He said, look, this was just one of Plaskett's constituents.

877
00:58:04,000 --> 00:58:05,280
Speaker 2: He was just a random guy.

878
00:58:05,320 --> 00:58:09,600
Speaker 10: Come on, reigned a Democratic member for taking a phone

879
00:58:09,680 --> 00:58:13,960
Speaker 10: call from her constituent, Jeffrey Epstein in the middle of

880
00:58:14,000 --> 00:58:14,480
Speaker 10: the hearing.

881
00:58:14,920 --> 00:58:17,760
Speaker 2: I still don't see what the charge is. Where is

882
00:58:17,800 --> 00:58:20,120
Speaker 2: the ethical transgression? Okay?

883
00:58:20,280 --> 00:58:23,160
Speaker 1: Now I want you to compare this to a CNN

884
00:58:23,280 --> 00:58:28,040
Speaker 1: interview Jamie Raskin did earlier this fall, in which he

885
00:58:28,240 --> 00:58:31,920
Speaker 1: was talking about Donald Trump's ties to Jeffrey Epstein and

886
00:58:31,960 --> 00:58:34,080
Speaker 1: referred to Epstein as a criminal mastermind.

887
00:58:34,160 --> 00:58:36,640
Speaker 10: One thing he's clearly doing is changing the subject from

888
00:58:36,800 --> 00:58:40,000
Speaker 10: a different form of crime, which is child sex trafficking,

889
00:58:40,480 --> 00:58:45,320
Speaker 10: which Jeffrey Epstein was a mastermind of. Donald Trump's name

890
00:58:45,560 --> 00:58:49,080
Speaker 10: apparently appears throughout the Epstein file.

891
00:58:49,440 --> 00:58:52,680
Speaker 1: Okay, so when it comes to Donald Trump, Epstein is

892
00:58:52,720 --> 00:58:57,080
Speaker 1: a criminal mastermind. But when it comes to a fellow Democrat,

893
00:58:57,760 --> 00:58:59,320
Speaker 1: he's just one of her constituents.

894
00:58:59,400 --> 00:59:03,320
Speaker 2: Of course, she's talking to him. Come on. Of course.

895
00:59:03,480 --> 00:59:09,680
Speaker 1: Haakim Jeffries aka Brooklyn's Baraque, was trying to solicit money

896
00:59:09,680 --> 00:59:14,400
Speaker 1: from Jeffrey Epstein after his first child sex offense conviction.

897
00:59:14,640 --> 00:59:17,360
Speaker 1: It's just he's a guy, he's a donor, he's a

898
00:59:17,360 --> 00:59:21,400
Speaker 1: wealthy guy. He's one of Jeffrey's constituents. Of course, he's

899
00:59:21,440 --> 00:59:25,200
Speaker 1: gonna try to solicit money when it's Trump. When it's Trump. Oh,

900
00:59:26,160 --> 00:59:31,880
Speaker 1: he is a criminal mastermind. Those two soundbites just illustrate

901
00:59:31,960 --> 00:59:37,040
Speaker 1: how phony all of this Jeffrey Epstein outrage has been.

902
00:59:37,120 --> 00:59:39,880
Speaker 1: We check in with former governor and Young America's Foundation

903
00:59:39,960 --> 00:59:44,760
Speaker 1: president Scott Walker about a lawsuit taking aim at DEI

904
00:59:44,840 --> 00:59:49,040
Speaker 1: when The Dan o'donald Show returns. Welcome back to the

905
00:59:49,120 --> 00:59:55,360
Speaker 1: Dan o'donald Show. It is conservative thought, not just talk.

906
00:59:56,840 --> 01:00:02,080
Speaker 1: Why are some of the biggest conservative organizations in America

907
01:00:02,920 --> 01:00:08,280
Speaker 1: suing the Trump administration. Well, it's for a great reason.

908
01:00:08,480 --> 01:00:14,520
Speaker 1: The Wisconsin Institute for Law and Liberty is representing the

909
01:00:14,640 --> 01:00:19,800
Speaker 1: Young America's Foundation as well as another organization in a

910
01:00:19,960 --> 01:00:29,040
Speaker 1: lawsuit that is essentially aimed at removing federal DEI programs

911
01:00:29,760 --> 01:00:37,680
Speaker 1: preferences for so called socially disadvantaged individuals. Joining us now

912
01:00:37,720 --> 01:00:40,960
Speaker 1: to talk about it is the president of the Young

913
01:00:41,000 --> 01:00:45,600
Speaker 1: America's Foundation. He is the former governor of Wisconsin. He

914
01:00:45,640 --> 01:00:48,400
Speaker 1: is a great friend of the Dan O'Donnell show. Scott Walker, Sir,

915
01:00:48,560 --> 01:00:51,080
Speaker 1: always great to have you on the program.

916
01:00:51,400 --> 01:00:53,000
Speaker 9: Hey, Dan, thanks for having me. I'm good to be

917
01:00:53,040 --> 01:00:53,280
Speaker 9: with you.

918
01:00:53,760 --> 01:00:57,760
Speaker 1: So tell us about this lawsuit. Why is it being filed,

919
01:00:58,160 --> 01:01:04,440
Speaker 1: What is the Trump administer doing with socially disadvantaged individuals?

920
01:01:04,600 --> 01:01:07,760
Speaker 1: And is this sort of a leftover policy from the

921
01:01:07,760 --> 01:01:12,080
Speaker 1: Biden administration that the lawsuit is basically seeking to have

922
01:01:12,240 --> 01:01:13,000
Speaker 1: Trump end.

923
01:01:14,480 --> 01:01:17,960
Speaker 9: Yes, yeah, to the end of the question. There, Yes,

924
01:01:18,000 --> 01:01:21,080
Speaker 9: that's exactly what is. We're suing the lawsuits against the

925
01:01:21,080 --> 01:01:23,959
Speaker 9: federal government. It's not against Donald Trump or the people

926
01:01:24,040 --> 01:01:27,120
Speaker 9: working for them, although they'll represent the federal government. It's

927
01:01:27,200 --> 01:01:31,640
Speaker 9: really going after years, in some cases decades of whole policy,

928
01:01:31,720 --> 01:01:35,000
Speaker 9: particularly those under the past President Joe Biden. But this

929
01:01:35,080 --> 01:01:38,000
Speaker 9: whole idea, there's all sorts of categories we're honing in.

930
01:01:38,160 --> 01:01:41,720
Speaker 9: Happens to be under the Small Business Administration on what

931
01:01:41,760 --> 01:01:47,200
Speaker 9: they call socially disadvantaged people in their regulations. It's all

932
01:01:47,520 --> 01:01:51,640
Speaker 9: all these categories, all Asian Pacific Americans, all Black Americans,

933
01:01:51,680 --> 01:01:54,480
Speaker 9: all Hispanic Americans. These are where their words, not mine.

934
01:01:54,800 --> 01:01:57,440
Speaker 9: And the idea being that you're talking about billions of

935
01:01:57,520 --> 01:02:00,720
Speaker 9: dollars in federal tax maney that goes through all these

936
01:02:00,720 --> 01:02:04,200
Speaker 9: different programs, not only at the SBA, but in all

937
01:02:04,240 --> 01:02:08,040
Speaker 9: these other federal agencies that are basically replicated these rules

938
01:02:08,040 --> 01:02:11,640
Speaker 9: and regulations. And we think it's you know the point

939
01:02:11,680 --> 01:02:13,800
Speaker 9: now where you know, next year we're going to celebrate

940
01:02:13,840 --> 01:02:17,640
Speaker 9: the two hundred and fifty fiftieth anniversary of the Declaration Independence.

941
01:02:17,680 --> 01:02:20,400
Speaker 9: It says all people are created equal, all of us

942
01:02:20,720 --> 01:02:24,880
Speaker 9: are created equals American citizens, there should be equal protection

943
01:02:25,560 --> 01:02:28,440
Speaker 9: in the law. And so for the reason why Young

944
01:02:28,480 --> 01:02:31,680
Speaker 9: America's Foundation is involved with this is there's examples of

945
01:02:31,800 --> 01:02:37,480
Speaker 9: fellowships that students can apply for that only socially disadvantaged

946
01:02:38,040 --> 01:02:42,000
Speaker 9: students can take advantage of those situations. And so we

947
01:02:42,080 --> 01:02:44,240
Speaker 9: think at a time we should level the playing field.

948
01:02:44,520 --> 01:02:46,920
Speaker 9: We should be a color blind society. We should be

949
01:02:47,000 --> 01:02:49,680
Speaker 9: judged on the content of our character, not the color

950
01:02:49,720 --> 01:02:53,040
Speaker 9: of our skin. And so we think this is really

951
01:02:53,240 --> 01:02:57,200
Speaker 9: an opportunity, particularly when you've got the Solicitor General under

952
01:02:57,360 --> 01:03:01,040
Speaker 9: President Trump who's already hinted these sorts of laws in

953
01:03:01,080 --> 01:03:05,160
Speaker 9: other cases are not constitutional. Now's the time to push

954
01:03:05,200 --> 01:03:07,240
Speaker 9: this and create a color blind society.

955
01:03:07,920 --> 01:03:09,320
Speaker 2: So let me get this straight.

956
01:03:09,880 --> 01:03:17,800
Speaker 1: The previous administration designated all black people and all Hispanics

957
01:03:18,480 --> 01:03:24,880
Speaker 1: as socially disadvantaged persons, regardless of income, exactly, regardless of

958
01:03:25,200 --> 01:03:29,040
Speaker 1: actual social status. There was just a presumption that if

959
01:03:29,080 --> 01:03:33,760
Speaker 1: you're black, you must be socially disadvantaged. That sounds like

960
01:03:33,880 --> 01:03:35,840
Speaker 1: the most racist thing I've ever heard.

961
01:03:36,560 --> 01:03:40,520
Speaker 9: Oh absolutely. And then other characters all Asian specific Americans,

962
01:03:40,920 --> 01:03:44,960
Speaker 9: all subcontinent Asian Americans, all Hispanic marriers, which by the way,

963
01:03:45,360 --> 01:03:48,320
Speaker 9: isn't isn't specific to a country. It's basically anyone who

964
01:03:48,320 --> 01:03:52,600
Speaker 9: speaks Spanish and all Black Americans. So it's not some

965
01:03:52,720 --> 01:03:57,600
Speaker 9: it's not based on, you know, some unique individual characteristic

966
01:03:57,760 --> 01:04:00,960
Speaker 9: like people making a certain mind money who came from

967
01:04:01,000 --> 01:04:04,960
Speaker 9: low income. Now it's specific to raise and this is

968
01:04:05,000 --> 01:04:08,880
Speaker 9: one of those. For decades before, particularly at the FELLO level,

969
01:04:08,920 --> 01:04:10,959
Speaker 9: but even in the States, we fought to make sure

970
01:04:11,000 --> 01:04:14,919
Speaker 9: that people couldn't be disadvantaged because of the race. Now

971
01:04:14,920 --> 01:04:18,160
Speaker 9: we're saying level the playing field. There should be no

972
01:04:18,800 --> 01:04:21,400
Speaker 9: advantage one way or the other. You should be judged

973
01:04:21,440 --> 01:04:24,440
Speaker 9: on the merit, on the content of your character, and

974
01:04:24,520 --> 01:04:27,439
Speaker 9: we expect the photograph to do this. And like I said,

975
01:04:27,440 --> 01:04:30,400
Speaker 9: the good news is even though people in the Trump

976
01:04:30,400 --> 01:04:34,880
Speaker 9: administration will be are listed in this lawsuit as representing

977
01:04:34,880 --> 01:04:38,440
Speaker 9: those agencies, we've already seen the US Solicitor General say

978
01:04:38,800 --> 01:04:41,720
Speaker 9: in a similar case in the Department Transportation that he

979
01:04:41,880 --> 01:04:46,640
Speaker 9: believes that regulations like this are unconstitutional. We need to

980
01:04:46,720 --> 01:04:48,360
Speaker 9: level the playing field and get this thrown out.

981
01:04:48,600 --> 01:04:51,120
Speaker 1: Well, one of the very first executive orders that President

982
01:04:51,160 --> 01:04:53,320
Speaker 1: Trump issued at the very outset of his turn back

983
01:04:53,320 --> 01:04:56,920
Speaker 1: in January, maybe it was early February, was saying just

984
01:04:57,000 --> 01:05:01,320
Speaker 1: that that all race based programs are so yeah, I

985
01:05:01,320 --> 01:05:04,479
Speaker 1: guess the headline. You know, people are saying, well, why

986
01:05:04,560 --> 01:05:08,520
Speaker 1: is yaff and why is Will suing the Trump administration.

987
01:05:08,720 --> 01:05:11,880
Speaker 1: It's basically like getting their attention to, hey, hey, here

988
01:05:11,880 --> 01:05:17,240
Speaker 1: are these organizations, here's the SBA blatantly violating this executive order.

989
01:05:17,440 --> 01:05:20,560
Speaker 1: It sounds like as soon as there's a response to

990
01:05:20,760 --> 01:05:24,960
Speaker 1: this lawsuit, sir, you're likely going to have it dismissed

991
01:05:25,040 --> 01:05:28,320
Speaker 1: because the Trump administration is probably going to take action

992
01:05:28,560 --> 01:05:31,600
Speaker 1: to end these practices. Am I sort of reading that right?

993
01:05:32,960 --> 01:05:35,480
Speaker 9: Well? Yes, but in some ways we'd love to have

994
01:05:35,520 --> 01:05:38,800
Speaker 9: the court take action even as they act, because remember,

995
01:05:39,240 --> 01:05:42,160
Speaker 9: an executive order can be removed the next time there's

996
01:05:42,160 --> 01:05:44,760
Speaker 9: a president and we don't share the values with Yeah,

997
01:05:44,800 --> 01:05:47,000
Speaker 9: and so one of the challenges I saw this as governor.

998
01:05:47,000 --> 01:05:49,960
Speaker 9: That's why we pushed. We did executive orders, but we

999
01:05:50,080 --> 01:05:53,640
Speaker 9: pushed to get as much as we could codify into

1000
01:05:53,680 --> 01:05:56,400
Speaker 9: the state statutes. In this case, it goes beyond just

1001
01:05:56,440 --> 01:06:00,000
Speaker 9: the Congress. If the courts can validate something because it's

1002
01:06:00,040 --> 01:06:02,960
Speaker 9: it's not just a difference in policy. This is a

1003
01:06:03,080 --> 01:06:08,600
Speaker 9: fundamental constitutional question. This is an unconstitutional practice. This is

1004
01:06:08,640 --> 01:06:12,080
Speaker 9: something that's based on race. It's a broad reaching category.

1005
01:06:12,480 --> 01:06:15,400
Speaker 9: And so even though we presume over time they would

1006
01:06:15,400 --> 01:06:17,680
Speaker 9: do this, these are the sorts of things that are

1007
01:06:17,800 --> 01:06:21,560
Speaker 9: embedded all throughout the federal government. And so to the

1008
01:06:21,640 --> 01:06:24,800
Speaker 9: extent that we can have a court, even if it's

1009
01:06:24,840 --> 01:06:29,440
Speaker 9: preliminarily going on record saying this indeed is unconstitutional, it'll

1010
01:06:29,480 --> 01:06:33,720
Speaker 9: both give the Trump administration officials cover to do this rapidly,

1011
01:06:34,080 --> 01:06:38,080
Speaker 9: but it'll also prevent future administrations from doing what we

1012
01:06:38,200 --> 01:06:39,640
Speaker 9: know to be unconstitutional.

1013
01:06:40,280 --> 01:06:44,600
Speaker 1: Young America's Foundation President Scott Walker, the former governor of

1014
01:06:44,680 --> 01:06:47,920
Speaker 1: the Great State of Wisconsin. So I want to switch

1015
01:06:47,960 --> 01:06:51,160
Speaker 1: gears just a little bit and talk about your work

1016
01:06:51,240 --> 01:06:56,000
Speaker 1: with yeah, specifically about the engagement of young conservatives in

1017
01:06:56,040 --> 01:06:59,760
Speaker 1: the wake of the assassination of Charlie Kirk. We initially

1018
01:06:59,760 --> 01:07:05,560
Speaker 1: so obviously a massive international outpouring of grief, of anger,

1019
01:07:05,760 --> 01:07:09,800
Speaker 1: and what was heartening and maybe the one bright spot

1020
01:07:09,840 --> 01:07:14,160
Speaker 1: to come out of just a dark, unbelievable tragedy was

1021
01:07:14,280 --> 01:07:18,800
Speaker 1: the redoubling of efforts by young people across this country

1022
01:07:18,840 --> 01:07:22,840
Speaker 1: to get Turning Point chapters open on campuses, to do

1023
01:07:22,880 --> 01:07:27,120
Speaker 1: what they can to advance conservatism. We're now going on

1024
01:07:27,680 --> 01:07:30,120
Speaker 1: it's been two months and we're now going on three

1025
01:07:30,200 --> 01:07:33,920
Speaker 1: months since Charlie's assassination and your role as the president

1026
01:07:34,400 --> 01:07:37,920
Speaker 1: of one of those pre eminent youth conservative organizations, are

1027
01:07:37,960 --> 01:07:41,760
Speaker 1: you still seeing that momentum? Are people still as engaged

1028
01:07:41,800 --> 01:07:42,400
Speaker 1: as they were?

1029
01:07:43,560 --> 01:07:48,000
Speaker 9: Oh? Absolutely. We just had another capacity crowd at the

1030
01:07:48,040 --> 01:07:51,440
Speaker 9: Reagan Ranch for conference. There were kids who came up

1031
01:07:51,480 --> 01:07:54,080
Speaker 9: to me all over the place who were not only

1032
01:07:54,080 --> 01:07:56,720
Speaker 9: involved with Young America's foundation, but who told me they

1033
01:07:56,720 --> 01:07:59,200
Speaker 9: had also helped start a Turning Point chapter. There's a

1034
01:07:59,200 --> 01:08:03,640
Speaker 9: lot of relap in collaboration. What's interesting, obviously and for

1035
01:08:03,760 --> 01:08:07,640
Speaker 9: horrific reasons as you mentioned, but appropriately, one of the

1036
01:08:08,000 --> 01:08:11,600
Speaker 9: few silver Island Silver Linings. Out of all this that

1037
01:08:11,800 --> 01:08:17,519
Speaker 9: happened with the just heartbreaking news of Charlie's assassination has

1038
01:08:17,560 --> 01:08:20,960
Speaker 9: been this response so appropriately. Turning Point has seen this

1039
01:08:21,280 --> 01:08:24,360
Speaker 9: tremendous increase, But so I have all sorts of other groups.

1040
01:08:24,400 --> 01:08:28,959
Speaker 9: I mean, our organization in America's Foundation slightly different category

1041
01:08:29,040 --> 01:08:32,280
Speaker 9: but similar working with young people college, high school, middle school,

1042
01:08:32,520 --> 01:08:36,160
Speaker 9: our college campus is fall sixty five percent increase in

1043
01:08:36,240 --> 01:08:39,479
Speaker 9: terms of new chapters and members coming along. We do

1044
01:08:39,880 --> 01:08:43,639
Speaker 9: more speeches on campus, not only for conservatives, but for

1045
01:08:43,920 --> 01:08:48,760
Speaker 9: college Republicans for example. Nationwide are the states we work

1046
01:08:48,800 --> 01:08:52,080
Speaker 9: with have told this massive increase in students reaching out,

1047
01:08:52,160 --> 01:08:56,880
Speaker 9: and so it is I think reflective of Charlie's reach.

1048
01:08:57,520 --> 01:09:01,439
Speaker 9: Charlie wasn't just about one organization. He was viral for

1049
01:09:01,479 --> 01:09:04,600
Speaker 9: his talks on campus. He was viral because of his

1050
01:09:04,680 --> 01:09:08,040
Speaker 9: podcast and his time on radio. He was an inspiration.

1051
01:09:08,920 --> 01:09:12,160
Speaker 9: I just ironically happened to be at Utah Valley University

1052
01:09:12,200 --> 01:09:16,320
Speaker 9: speaking about foreigner people last Thursday. I'd agreed to that

1053
01:09:16,400 --> 01:09:20,040
Speaker 9: long before Charlie's assassination, but felt even more now than

1054
01:09:20,040 --> 01:09:23,080
Speaker 9: ever it was important to be there, and obviously at

1055
01:09:23,120 --> 01:09:26,200
Speaker 9: other campuses, and I think there's a sense out there

1056
01:09:26,200 --> 01:09:30,719
Speaker 9: as there's across the country. People were shocked, horrified, scared,

1057
01:09:30,960 --> 01:09:35,160
Speaker 9: troubled by what happened on September tenth, but we've seen

1058
01:09:35,360 --> 01:09:38,839
Speaker 9: overwhelming we have the same with those same emotions. Parallel

1059
01:09:38,840 --> 01:09:41,120
Speaker 9: to that is, young people have come out of the

1060
01:09:41,160 --> 01:09:43,519
Speaker 9: woodwork to say I got to do something, I got

1061
01:09:43,520 --> 01:09:45,760
Speaker 9: to stand up, I got to get together with other

1062
01:09:46,040 --> 01:09:49,519
Speaker 9: young people who share our values. And anybody listening, if

1063
01:09:49,520 --> 01:09:52,320
Speaker 9: you're a young person, YAF dot org, we'd connect it.

1064
01:09:52,439 --> 01:09:54,439
Speaker 9: For that matter, if you're a parent, grandpar or others,

1065
01:09:54,760 --> 01:09:56,839
Speaker 9: not only get him involved in this and other groups

1066
01:09:56,880 --> 01:10:00,400
Speaker 9: like this, but go out and wrap your arm drowned

1067
01:10:00,439 --> 01:10:02,360
Speaker 9: and tell those young people how much you love them,

1068
01:10:02,360 --> 01:10:05,320
Speaker 9: and then tell them why you up America, Why things

1069
01:10:05,400 --> 01:10:08,160
Speaker 9: like market based capitalism are so much better for this

1070
01:10:08,240 --> 01:10:10,400
Speaker 9: country than govert driven socialism.

1071
01:10:11,520 --> 01:10:16,400
Speaker 1: Absolutely, sir, again, WHYAF dot org for Young America's Foundation.

1072
01:10:16,439 --> 01:10:20,439
Speaker 1: We are talking with the president of said organization. We

1073
01:10:20,640 --> 01:10:23,840
Speaker 1: always know him as our governor and friend, Scott Walker

1074
01:10:23,960 --> 01:10:26,479
Speaker 1: joining me here on the Dan o'donald show. Sir, always

1075
01:10:26,520 --> 01:10:29,320
Speaker 1: a pleasure talking with you. Thank you for always being

1076
01:10:29,360 --> 01:10:31,920
Speaker 1: so generous with your time. I'd love to have you

1077
01:10:32,000 --> 01:10:34,959
Speaker 1: back soon. Pick your brain about the state of Wisconsin politics.

1078
01:10:35,000 --> 01:10:35,559
Speaker 2: What do you say?

1079
01:10:36,720 --> 01:10:38,960
Speaker 9: Thanks, dam love to do it, have a great one, all.

1080
01:10:38,920 --> 01:10:41,400
Speaker 1: Right, you too? He is Scott Walker. I am Dan o'donald.

1081
01:10:41,439 --> 01:10:43,760
Speaker 1: We've got a great story coming up. One of our

1082
01:10:43,800 --> 01:10:48,519
Speaker 1: listeners nominating her husband to be our unsung hero of

1083
01:10:48,560 --> 01:10:49,960
Speaker 1: the day. You're not going to want to miss this.

1084
01:10:53,240 --> 01:10:55,400
Speaker 1: Coming up in the five o'clock hour here on the

1085
01:10:55,520 --> 01:10:59,840
Speaker 1: Dan o'donald Show, we are going to talk with Jack

1086
01:11:00,120 --> 01:11:00,920
Speaker 1: and Stap.

1087
01:11:01,520 --> 01:11:05,400
Speaker 2: She is the.

1088
01:11:04,000 --> 01:11:06,799
Speaker 1: White House is one of the White House's point people

1089
01:11:07,360 --> 01:11:12,960
Speaker 1: on its anti fetanyl initiative called Make America Fetanyl Free.

1090
01:11:13,680 --> 01:11:17,440
Speaker 1: She also happens to be the wife of Creed frontman

1091
01:11:18,120 --> 01:11:21,920
Speaker 1: Scott stap I've always been a Creed fan. So when

1092
01:11:21,920 --> 01:11:24,120
Speaker 1: the White House said, hey, Dan, would you like to

1093
01:11:24,160 --> 01:11:26,240
Speaker 1: interview Jacqueline Stapp, I said.

1094
01:11:26,040 --> 01:11:27,360
Speaker 2: You'd better believe it.

1095
01:11:27,400 --> 01:11:30,920
Speaker 1: I know she is a proud wife, and Scott is

1096
01:11:31,000 --> 01:11:34,240
Speaker 1: a proud husband because of all the incredible work that

1097
01:11:34,439 --> 01:11:37,600
Speaker 1: she has done with his foundation and now partnering with

1098
01:11:37,720 --> 01:11:41,360
Speaker 1: the White House to end the scourge of fetanyl. Speaking

1099
01:11:41,560 --> 01:11:46,000
Speaker 1: of proud wives, it brings us to our unsung hero

1100
01:11:46,120 --> 01:11:56,960
Speaker 1: of the We hear on the Dan O'Donnell show. Try

1101
01:11:57,080 --> 01:12:01,479
Speaker 1: to highlight people in our community ross Wisconsin who are

1102
01:12:01,479 --> 01:12:04,040
Speaker 1: going above and beyond doing the right thing, and we

1103
01:12:04,160 --> 01:12:10,280
Speaker 1: always encourage you to email me at DoD at iHeartMedia

1104
01:12:10,439 --> 01:12:14,240
Speaker 1: dot com if you know of somebody who deserves to

1105
01:12:14,320 --> 01:12:19,200
Speaker 1: be featured on this Well, I heard from a woman

1106
01:12:19,320 --> 01:12:22,519
Speaker 1: who is just very proud of her husband. Or name

1107
01:12:22,720 --> 01:12:26,920
Speaker 1: is Jody Novak and she wrote me yesterday, Hi, Dan,

1108
01:12:26,960 --> 01:12:29,400
Speaker 1: as I listened to you this afternoon, I realize I

1109
01:12:29,439 --> 01:12:33,000
Speaker 1: should tell you about my husband, Chris Novak. Chris is

1110
01:12:33,040 --> 01:12:35,600
Speaker 1: a realtor in the Greater Milwaukee area, but that is

1111
01:12:35,640 --> 01:12:36,879
Speaker 1: not what makes him special.

1112
01:12:36,920 --> 01:12:39,200
Speaker 2: What makes him special is his heart.

1113
01:12:39,840 --> 01:12:43,120
Speaker 1: For years, Chris has been hosting an annual Christmas thank

1114
01:12:43,160 --> 01:12:45,559
Speaker 1: you event for his clients, friends and family. We did

1115
01:12:45,600 --> 01:12:48,120
Speaker 1: a movie, The Polar Express for a couple of years,

1116
01:12:48,479 --> 01:12:50,040
Speaker 1: but that didn't satisfy my.

1117
01:12:50,120 --> 01:12:52,160
Speaker 2: Husband's desire to reach more people.

1118
01:12:52,720 --> 01:12:55,120
Speaker 1: As is his norm, he wanted it to be bigger

1119
01:12:55,160 --> 01:12:58,160
Speaker 1: and to reach more people. One day we stopped into

1120
01:12:58,200 --> 01:13:02,639
Speaker 1: our local Brookfield Veterans Post four four nine. Chris looked

1121
01:13:02,640 --> 01:13:04,880
Speaker 1: around and talked to the commander and a few of

1122
01:13:04,920 --> 01:13:07,760
Speaker 1: the other veterans and decided he had an idea to

1123
01:13:08,080 --> 01:13:10,960
Speaker 1: satisfy his desire to say thank you to his clientele

1124
01:13:11,520 --> 01:13:14,680
Speaker 1: and a way he could help out the struggling veterans post.

1125
01:13:15,000 --> 01:13:20,360
Speaker 1: So is born our annual free Santa Saturday extravaganza. We

1126
01:13:20,400 --> 01:13:22,799
Speaker 1: have Santas set up in one half of the building

1127
01:13:22,840 --> 01:13:25,920
Speaker 1: for free pictures with kids, families, friends and dogs. Last

1128
01:13:26,000 --> 01:13:29,439
Speaker 1: year we added our dog kissing booths set up to

1129
01:13:29,479 --> 01:13:32,840
Speaker 1: find homes for adoptable dogs. The other side of the

1130
01:13:32,880 --> 01:13:36,560
Speaker 1: building hosts a piano players singing Christmas carols and singalongs,

1131
01:13:36,920 --> 01:13:40,479
Speaker 1: a coloring contest for kids, and pictures depicting veterans where

1132
01:13:40,560 --> 01:13:44,839
Speaker 1: every kid wins a culver's scoop, food and beverages for purchase,

1133
01:13:45,520 --> 01:13:49,040
Speaker 1: and a half cow raffle. All proceeds from this event

1134
01:13:49,160 --> 01:13:52,840
Speaker 1: go to the Post. Chris makes signs for all businesses

1135
01:13:52,960 --> 01:13:55,960
Speaker 1: that donate so that everyone sees who helped bring this together.

1136
01:13:56,320 --> 01:13:58,920
Speaker 1: We also buy gifts to go under the Christmas trees.

1137
01:13:58,920 --> 01:14:02,879
Speaker 1: With gifts are food donations that go to the Veterans Hospital.

1138
01:14:03,240 --> 01:14:06,479
Speaker 1: While this event is my husband's brainchild, he opens it

1139
01:14:06,560 --> 01:14:09,200
Speaker 1: up to his office and any other realtor or affiliate

1140
01:14:09,280 --> 01:14:12,080
Speaker 1: in the area who wants to donate money or time

1141
01:14:12,920 --> 01:14:15,720
Speaker 1: and wants to have their clients come for photos. His

1142
01:14:15,760 --> 01:14:18,439
Speaker 1: goal is to raise as much as possible for the

1143
01:14:18,520 --> 01:14:21,959
Speaker 1: Veteran's post. I know Chris would not want any attention,

1144
01:14:22,760 --> 01:14:24,760
Speaker 1: but he would love more people to come and raise

1145
01:14:24,840 --> 01:14:28,439
Speaker 1: money for Post four for nine. I hope you find

1146
01:14:28,479 --> 01:14:33,600
Speaker 1: him worthy of one of your unsung hero spots. Sincerely,

1147
01:14:33,680 --> 01:14:39,360
Speaker 1: Jody Novak's spouse, volunteer and cheerleader. Jody, it sounds like

1148
01:14:39,479 --> 01:14:43,640
Speaker 1: your husband is doing incredible work and he is exactly

1149
01:14:43,920 --> 01:14:47,520
Speaker 1: the sort of person we want to feature. Chris Novak

1150
01:14:47,920 --> 01:14:53,920
Speaker 1: is your unsung hero of the day. If you want

1151
01:14:54,080 --> 01:15:00,720
Speaker 1: more information, just google the free Santa Saturday extrava Ganza

1152
01:15:00,800 --> 01:15:04,600
Speaker 1: at Brookfield Veterans Post four four nine, that is Brookfield

1153
01:15:04,680 --> 01:15:08,800
Speaker 1: Veterans Post four for nine For all the details.

1154
01:15:08,800 --> 01:15:09,439
Speaker 2: What am I doing?

1155
01:15:09,520 --> 01:15:14,000
Speaker 1: Jody actually sent me all of the details. It is

1156
01:15:14,040 --> 01:15:18,920
Speaker 1: going to be Saturday, December sixth, so what would that

1157
01:15:18,960 --> 01:15:22,800
Speaker 1: be two weeks from this Saturday. It's the not this

1158
01:15:22,880 --> 01:15:26,120
Speaker 1: Saturday after Thanksgiving, but the Saturday after that it's Saint

1159
01:15:26,200 --> 01:15:29,320
Speaker 1: Nix Day. It's It's Saint Nix Day, so easy way

1160
01:15:29,320 --> 01:15:34,360
Speaker 1: to remember Saturday December sixth, from eleven thirty to three

1161
01:15:34,600 --> 01:15:41,080
Speaker 1: thirty pm at the American Legion Post four four nine,

1162
01:15:41,400 --> 01:15:46,519
Speaker 1: put on by Chris Novak, realtor, Coldwell Banker Home Sale,

1163
01:15:46,600 --> 01:15:50,519
Speaker 1: Realty and Post for for nine. It is the Free

1164
01:15:50,840 --> 01:15:56,800
Speaker 1: Santas Saturday Extravaganza. Go out, support everybody involved in this.

1165
01:15:56,880 --> 01:15:59,519
Speaker 1: Get a picture taken, kissing your dog in the dog

1166
01:15:59,640 --> 01:16:03,360
Speaker 1: Kissing booth, Get your pictures taken with Santa. Tell Santa

1167
01:16:03,439 --> 01:16:06,240
Speaker 1: what it is that you want for Christmas this year,

1168
01:16:07,439 --> 01:16:12,320
Speaker 1: and support an incredible cause. Coming up in the top

1169
01:16:12,360 --> 01:16:16,040
Speaker 1: of the hour before we talk with Jacqueline's staff about

1170
01:16:16,040 --> 01:16:20,000
Speaker 1: how to make America fetanol free, we are going to

1171
01:16:20,120 --> 01:16:24,480
Speaker 1: get into a group of University of Wisconsin system professors

1172
01:16:24,479 --> 01:16:29,840
Speaker 1: who want their jobs to be teaching free. They are

1173
01:16:29,880 --> 01:16:33,679
Speaker 1: complaining that they are going to be required to teach

1174
01:16:33,840 --> 01:16:40,400
Speaker 1: a single class per semester in exchange for getting hundreds

1175
01:16:40,439 --> 01:16:45,120
Speaker 1: of millions of dollars in taxpayer money as part of

1176
01:16:45,160 --> 01:16:49,599
Speaker 1: the latest budget agreement from Republican legislators that's coming up

1177
01:16:49,640 --> 01:16:53,400
Speaker 1: next right here on the Dan O'Donnell Show. University of

1178
01:16:53,400 --> 01:16:58,599
Speaker 1: Wisconsin's system teachers are furious that they are being asked

1179
01:16:58,720 --> 01:17:06,240
Speaker 1: to teach you know their jobs. Welcome back to The

1180
01:17:06,320 --> 01:17:10,200
Speaker 1: Dan o'donald Show. Four one, four, seven, nine, nine eleven

1181
01:17:10,400 --> 01:17:13,120
Speaker 1: thirty is all right vetnos dot com talkin text line

1182
01:17:13,160 --> 01:17:14,880
Speaker 1: if you'd like to join us at any point during

1183
01:17:14,960 --> 01:17:17,360
Speaker 1: this hour. Also toll free, you can reach us one

1184
01:17:17,360 --> 01:17:19,360
Speaker 1: eight one hundred and eight three eight nine four seven

1185
01:17:19,560 --> 01:17:24,720
Speaker 1: six email address d D at iHeartMedia dot com, at

1186
01:17:24,800 --> 01:17:29,679
Speaker 1: Dan o'donald Show on x on Facebook, on Instagram, on YouTube. Also,

1187
01:17:29,760 --> 01:17:34,320
Speaker 1: please be sure to subscribe, follow, like, star thumbs up,

1188
01:17:34,560 --> 01:17:38,400
Speaker 1: download and listen to the Dan o'donald Show podcast on

1189
01:17:38,520 --> 01:17:44,320
Speaker 1: iHeartRadio or wherever you listen to podcasts. Coming up at

1190
01:17:44,320 --> 01:17:47,160
Speaker 1: the bottom of the hour, about five thirty five or so,

1191
01:17:47,240 --> 01:17:50,880
Speaker 1: we are going to talk with Jacqueline Stapp, who is

1192
01:17:51,000 --> 01:17:54,160
Speaker 1: not just a model. She is not just married to

1193
01:17:54,640 --> 01:17:58,600
Speaker 1: lead singer Scott Staff of the band Creed. She is

1194
01:17:58,640 --> 01:18:02,000
Speaker 1: not just the executive director of his foundation. She is

1195
01:18:02,040 --> 01:18:05,280
Speaker 1: a board member and one of the Trump administration's point

1196
01:18:05,479 --> 01:18:11,080
Speaker 1: people on the Make America Fetanyl Free initiative. This is

1197
01:18:11,160 --> 01:18:14,720
Speaker 1: a big problem here in Wisconsin, and we are going

1198
01:18:14,760 --> 01:18:18,080
Speaker 1: to chat with her coming up in about twenty minutes

1199
01:18:18,200 --> 01:18:23,200
Speaker 1: about the administration's efforts to get the scourge of fetanyl

1200
01:18:23,720 --> 01:18:30,720
Speaker 1: out of our country. Rather remarkable story in the Cap Times.

1201
01:18:32,080 --> 01:18:36,080
Speaker 1: The Cap Times never would have guessed that far left

1202
01:18:36,240 --> 01:18:41,640
Speaker 1: publication would have two of the most based stories of

1203
01:18:41,680 --> 01:18:47,759
Speaker 1: the year. Huge investigation into DPI actively covering up teacher

1204
01:18:48,000 --> 01:18:54,400
Speaker 1: sex assault investigations. Just a tremendous Pulitzer Prize worthy series

1205
01:18:54,439 --> 01:18:58,360
Speaker 1: of reports coming out of the Cap Times. And now this.

1206
01:19:00,240 --> 01:19:03,479
Speaker 1: When lawmakers passed a new state budget this year, they

1207
01:19:03,520 --> 01:19:07,559
Speaker 1: approved a roughly two hundred and fifty six million dollar

1208
01:19:07,640 --> 01:19:12,439
Speaker 1: increase in funding for Wisconsin's thirteen public university but the

1209
01:19:12,560 --> 01:19:17,519
Speaker 1: money came with strings attached, including new requirements for how

1210
01:19:17,640 --> 01:19:22,800
Speaker 1: much faculty need to teach. Now UW system employees are

1211
01:19:22,840 --> 01:19:26,880
Speaker 1: pushing back because of course they are. They argue implementing

1212
01:19:26,920 --> 01:19:31,640
Speaker 1: the teaching workload requirements could raise constitutional questions, and the

1213
01:19:31,680 --> 01:19:36,559
Speaker 1: mandate inaccurately measures all the work educators put into their jobs.

1214
01:19:36,960 --> 01:19:40,080
Speaker 1: There's an awful lot of faculty. There's an awful lot

1215
01:19:40,120 --> 01:19:44,120
Speaker 1: that faculty do that's not physically teaching classes X number

1216
01:19:44,120 --> 01:19:47,519
Speaker 1: of hours per week, said Neil Kraus, a UW River

1217
01:19:47,600 --> 01:19:52,040
Speaker 1: Falls political science professor and a union leader with AFT Wisconsin.

1218
01:19:52,439 --> 01:19:58,519
Speaker 1: Which represents employees across the UW system. Starting next fall,

1219
01:19:59,160 --> 01:20:04,360
Speaker 1: full time faculty and instructional academic staff at UW Madison

1220
01:20:04,400 --> 01:20:07,760
Speaker 1: and UW Milwaukee will need to teach at least one

1221
01:20:07,880 --> 01:20:12,080
Speaker 1: course per semester and a minimum of twelve credit hours

1222
01:20:12,200 --> 01:20:16,960
Speaker 1: each school year. Employees at the other state universities face

1223
01:20:17,120 --> 01:20:21,880
Speaker 1: higher requirements. Now, UW Madison and UW Milwaukee are the

1224
01:20:21,920 --> 01:20:25,760
Speaker 1: states to leading research university public universities.

1225
01:20:25,800 --> 01:20:26,280
Speaker 2: That is.

1226
01:20:27,400 --> 01:20:31,599
Speaker 1: But the point that state legislators are making is that

1227
01:20:31,880 --> 01:20:37,599
Speaker 1: your primary focus, University of Wisconsin system, is to educate

1228
01:20:37,800 --> 01:20:43,520
Speaker 1: Wisconsin's young men and women, to prepare them for getting careers,

1229
01:20:43,600 --> 01:20:47,639
Speaker 1: to prepare them for the real world, to prepare the

1230
01:20:47,720 --> 01:20:51,640
Speaker 1: next generation of leaders, the next generation of workers, the

1231
01:20:51,680 --> 01:20:56,639
Speaker 1: next generation of entrepreneurs. That has always sort of been

1232
01:20:56,800 --> 01:21:01,479
Speaker 1: understood to be what the highest and best purpose of

1233
01:21:01,760 --> 01:21:05,360
Speaker 1: higher education is. And oh, by the way, you're getting

1234
01:21:05,360 --> 01:21:09,479
Speaker 1: two hundred and fifty six million dollars in increased state

1235
01:21:09,720 --> 01:21:13,920
Speaker 1: revenue at the same time you are continuing to jack

1236
01:21:14,080 --> 01:21:21,840
Speaker 1: up tuition rates, and you're swimming in money. The constitutional

1237
01:21:22,040 --> 01:21:28,640
Speaker 1: issue is a rather ridiculous argument. The idea that the

1238
01:21:28,800 --> 01:21:35,080
Speaker 1: state legislature cannot mandate what it is that state employees

1239
01:21:35,240 --> 01:21:41,240
Speaker 1: at an institution like the university can do. That's actually

1240
01:21:41,520 --> 01:21:45,400
Speaker 1: exactly what state legislators can do. Now, if it's say

1241
01:21:45,560 --> 01:21:49,800
Speaker 1: Marquette University, can the state legislature put in and say, hey,

1242
01:21:49,880 --> 01:21:53,400
Speaker 1: you've got to teach at least one class person one class,

1243
01:21:53,880 --> 01:21:59,360
Speaker 1: one class, and twelve credit hours per school year. This

1244
01:21:59,560 --> 01:22:06,360
Speaker 1: is basically two classes. Actually, I guess it's yeah, two

1245
01:22:06,439 --> 01:22:10,800
Speaker 1: classes per semester. You can teach one for like an

1246
01:22:10,840 --> 01:22:14,360
Speaker 1: eight credit class, I guess, but standard issue. And it's

1247
01:22:14,360 --> 01:22:18,240
Speaker 1: been a long time since I was in college or

1248
01:22:18,280 --> 01:22:22,120
Speaker 1: in law school, but college pretty standard. It's three credit

1249
01:22:22,240 --> 01:22:27,360
Speaker 1: hours per semester. Class classes will meet for an hour

1250
01:22:27,479 --> 01:22:30,920
Speaker 1: or fifty minutes or whatever it is Monday, Wednesday, Friday,

1251
01:22:31,240 --> 01:22:35,120
Speaker 1: or Tuesday Thursday for like an hour and fifteen minutes,

1252
01:22:36,040 --> 01:22:40,840
Speaker 1: and each class is worth three credits. So the professor

1253
01:22:41,240 --> 01:22:44,880
Speaker 1: just has to teach for three days a week or

1254
01:22:45,080 --> 01:22:49,120
Speaker 1: two days a week, or you could theoretically do a

1255
01:22:49,280 --> 01:22:52,840
Speaker 1: three hour class one day a week. I took a

1256
01:22:52,880 --> 01:22:55,680
Speaker 1: couple of those when I was in undergrad. I do

1257
01:22:55,800 --> 01:23:00,439
Speaker 1: not recommend them because, man, oh man, you get real

1258
01:23:00,720 --> 01:23:05,280
Speaker 1: board doing one topic for three hours. This is why

1259
01:23:05,320 --> 01:23:07,639
Speaker 1: we do different topics on the Dan o' donald show

1260
01:23:07,680 --> 01:23:08,880
Speaker 1: every couple of minutes.

1261
01:23:11,080 --> 01:23:13,759
Speaker 2: This is a pretty minimal ask.

1262
01:23:15,400 --> 01:23:18,400
Speaker 1: Yes, I am also aware that a lot of the

1263
01:23:18,560 --> 01:23:23,840
Speaker 1: value in the UW system is in the research work

1264
01:23:23,920 --> 01:23:30,000
Speaker 1: that it does. But again, this is the legislature exerting

1265
01:23:30,200 --> 01:23:35,120
Speaker 1: the power that it does have in exchange for this money.

1266
01:23:35,680 --> 01:23:39,880
Speaker 1: There was an agreement by the UW system that professors

1267
01:23:39,920 --> 01:23:44,879
Speaker 1: are going to actually be professors. They're not happy, Michael

1268
01:23:45,080 --> 01:23:49,160
Speaker 1: Bernard Donald's this. According to the cap Time story, UW

1269
01:23:49,200 --> 01:23:53,519
Speaker 1: Madison English professor has two concerns with the new teaching

1270
01:23:53,600 --> 01:23:58,839
Speaker 1: workload requirements. One is the constitutional issue. The other involves

1271
01:23:58,880 --> 01:24:02,559
Speaker 1: a state law that says faculty quote, shall have the

1272
01:24:02,600 --> 01:24:08,840
Speaker 1: primary responsibility for advising the chancellor regarding academic and educational

1273
01:24:08,880 --> 01:24:18,160
Speaker 1: activities and faculty personnel matters. Yeah, okay. The legislature also

1274
01:24:18,360 --> 01:24:21,639
Speaker 1: has a role in that as well. Now, this professor says,

1275
01:24:21,680 --> 01:24:25,080
Speaker 1: by legislating a minimum number of courses that must be

1276
01:24:25,160 --> 01:24:29,360
Speaker 1: taught by the university faculty, the legislature and the governor

1277
01:24:29,479 --> 01:24:34,280
Speaker 1: are arrogating for themselves the power to determine academic, educational

1278
01:24:34,360 --> 01:24:35,839
Speaker 1: and personnel matters.

1279
01:24:36,240 --> 01:24:38,559
Speaker 2: Bernard Donalds says.

1280
01:24:40,360 --> 01:24:44,439
Speaker 1: UW Madison's student governing body said faculty and instructors should

1281
01:24:44,439 --> 01:24:47,160
Speaker 1: have as much flexibility as possible with the new teaching

1282
01:24:47,240 --> 01:24:51,320
Speaker 1: requirements of college. Education extends beyond the four walls of

1283
01:24:51,360 --> 01:24:55,439
Speaker 1: a classroom, the student teachers set. Our professors also spend

1284
01:24:55,439 --> 01:24:58,879
Speaker 1: time researching and labs and doing field work outside of Madison,

1285
01:24:59,280 --> 01:25:03,560
Speaker 1: all while opening these opportunities to students to thoroughly engage

1286
01:25:03,600 --> 01:25:07,519
Speaker 1: in as well. The Associated Students of Madison said in

1287
01:25:08,479 --> 01:25:21,679
Speaker 1: a statement, really, really, you can't commit to three credit

1288
01:25:21,920 --> 01:25:30,680
Speaker 1: hours per semester. Actually, I guess it's six teaching two

1289
01:25:30,800 --> 01:25:38,599
Speaker 1: classes when your job is to teach. Now, I may

1290
01:25:38,800 --> 01:25:43,960
Speaker 1: remind at this point the University of Wisconsin systems professors

1291
01:25:44,160 --> 01:25:48,679
Speaker 1: and its leadership as well, that there are far few

1292
01:25:48,960 --> 01:25:52,280
Speaker 1: students who are choosing to go to college, not just

1293
01:25:52,320 --> 01:25:57,000
Speaker 1: because there are far few students out there the generation,

1294
01:25:57,240 --> 01:26:02,160
Speaker 1: the Generation xers and now the older millennials. I myself

1295
01:26:02,360 --> 01:26:06,400
Speaker 1: am one, we're not having nearly as many children as

1296
01:26:06,479 --> 01:26:11,120
Speaker 1: the Baby Boom generation and as the silent generation before

1297
01:26:11,200 --> 01:26:15,040
Speaker 1: them did. Not only that, what we were always told,

1298
01:26:15,080 --> 01:26:17,640
Speaker 1: what I was told, Producer Eric, you're a couple of

1299
01:26:17,720 --> 01:26:20,040
Speaker 1: years older than me. You're a gen X or where

1300
01:26:20,120 --> 01:26:21,720
Speaker 1: you told you have to go to college. You have

1301
01:26:21,760 --> 01:26:23,360
Speaker 1: to go to college. You have to go to college.

1302
01:26:23,760 --> 01:26:24,680
Speaker 2: If you want.

1303
01:26:24,479 --> 01:26:27,960
Speaker 1: Any sort of career, you need to go to college.

1304
01:26:28,280 --> 01:26:32,080
Speaker 1: And I was in the generation where it was sort

1305
01:26:32,120 --> 01:26:35,400
Speaker 1: of poop pooed that you would go into the military.

1306
01:26:35,760 --> 01:26:39,719
Speaker 1: Military is incredible career. I would recommend it most highly.

1307
01:26:40,320 --> 01:26:43,000
Speaker 1: In another life, I would have loved to have done

1308
01:26:43,000 --> 01:26:46,320
Speaker 1: a couple of years in what's known as the jag core.

1309
01:26:47,760 --> 01:26:50,519
Speaker 1: Insert your jokes about Dan O'Donnell being a jag here

1310
01:26:50,680 --> 01:26:54,000
Speaker 1: judge advocate general. It would be after law school, you

1311
01:26:54,080 --> 01:26:58,080
Speaker 1: go and you practice law for the United States military

1312
01:26:58,800 --> 01:27:02,800
Speaker 1: in tribunals, wherever they send you, in whatever branch you're in.

1313
01:27:03,120 --> 01:27:06,040
Speaker 1: I always thought it would be a fascinating way to

1314
01:27:06,080 --> 01:27:07,920
Speaker 1: spend a couple of years to see the world and

1315
01:27:07,920 --> 01:27:10,599
Speaker 1: to serve my country. But a last life got in

1316
01:27:10,600 --> 01:27:12,960
Speaker 1: the way. I had a child, I had a career

1317
01:27:13,000 --> 01:27:15,439
Speaker 1: in radio that I wanted to pursue, and here I

1318
01:27:15,479 --> 01:27:24,440
Speaker 1: am all these years later. The primary role of teachers

1319
01:27:24,560 --> 01:27:28,559
Speaker 1: and the primary role of universities is not as they

1320
01:27:28,640 --> 01:27:31,760
Speaker 1: seem to believe, it is to do research and to

1321
01:27:32,040 --> 01:27:37,000
Speaker 1: publish studies about like for example, this English professor, what

1322
01:27:37,120 --> 01:27:43,240
Speaker 1: research are you doing, What groundbreaking work into Beowulf are

1323
01:27:43,280 --> 01:27:48,400
Speaker 1: you possibly doing. Your primary goal is to teach literature

1324
01:27:48,479 --> 01:27:53,960
Speaker 1: to students. Reading is a dying art, professor, teach it.

1325
01:27:54,080 --> 01:27:57,439
Speaker 1: Share your passion for the English language and the written

1326
01:27:57,479 --> 01:28:02,240
Speaker 1: word with the next generation. We've got a fundamental, flawed

1327
01:28:02,520 --> 01:28:05,880
Speaker 1: idea here that it is a nuisance, that it is

1328
01:28:05,960 --> 01:28:10,240
Speaker 1: somehow taking away from the real work that these professors

1329
01:28:10,280 --> 01:28:14,400
Speaker 1: are doing. You have to compete now because parents aren't

1330
01:28:14,479 --> 01:28:17,280
Speaker 1: telling their children. I'm not telling my kids that if

1331
01:28:17,280 --> 01:28:19,960
Speaker 1: you don't go to college, you're some sort of loser.

1332
01:28:20,280 --> 01:28:22,679
Speaker 1: You know what I tell my kids. There are three

1333
01:28:22,840 --> 01:28:26,240
Speaker 1: hundred and forty million different ways to make money in

1334
01:28:26,320 --> 01:28:29,880
Speaker 1: this country, three hundred and forty million people, three hundred

1335
01:28:29,880 --> 01:28:34,160
Speaker 1: forty million different ways. You don't need a college degree.

1336
01:28:34,200 --> 01:28:38,679
Speaker 1: The single most successful person in the history of my medium,

1337
01:28:38,720 --> 01:28:42,479
Speaker 1: Rush Limbaugh, made it through about a semester of college.

1338
01:28:42,520 --> 01:28:46,240
Speaker 1: He failed a speech class, of all things, and realized

1339
01:28:46,280 --> 01:28:50,640
Speaker 1: how stupid it was. I myself thought that I was

1340
01:28:50,680 --> 01:28:53,080
Speaker 1: going to be an attorney, so I went through four

1341
01:28:53,160 --> 01:28:55,920
Speaker 1: years of undergrad I went through three years of law school.

1342
01:28:55,960 --> 01:28:59,640
Speaker 1: Life had other plans. I discovered that my passion was broadcasting,

1343
01:29:00,439 --> 01:29:04,840
Speaker 1: and I went a different way. I have a lot

1344
01:29:04,840 --> 01:29:10,360
Speaker 1: of education. Rush didn't. We both found a way to

1345
01:29:10,360 --> 01:29:15,080
Speaker 1: make a living in the exact same industry Russia much bigger.

1346
01:29:14,880 --> 01:29:15,720
Speaker 2: Living than me.

1347
01:29:17,520 --> 01:29:22,200
Speaker 1: The point is that you don't have generations of people

1348
01:29:22,320 --> 01:29:26,880
Speaker 1: now just blindly going through the college system. And what

1349
01:29:27,080 --> 01:29:32,160
Speaker 1: are we We are seeing for profit colleges actually closing.

1350
01:29:33,360 --> 01:29:36,640
Speaker 1: We are seeing colleges have to close their doors. We

1351
01:29:36,680 --> 01:29:39,559
Speaker 1: saw a long standing one in Wisconsin a couple of

1352
01:29:39,640 --> 01:29:43,479
Speaker 1: years ago because there just weren't enough kids coming through

1353
01:29:43,520 --> 01:29:49,640
Speaker 1: the doors. Because they don't see college as a monopoly

1354
01:29:49,920 --> 01:29:55,400
Speaker 1: on career preparedness. You can make just a phenomenal living

1355
01:29:55,479 --> 01:29:59,559
Speaker 1: in the trades. Now you are going to be working

1356
01:29:59,600 --> 01:30:02,120
Speaker 1: with your hands, you are going to be doing more

1357
01:30:02,160 --> 01:30:05,200
Speaker 1: physical labor. But I mean some of these degrees that

1358
01:30:05,320 --> 01:30:08,439
Speaker 1: kids are coming out with. I got a degree actually

1359
01:30:08,520 --> 01:30:12,960
Speaker 1: in English. You know why, a double major. I got

1360
01:30:12,960 --> 01:30:16,320
Speaker 1: an English degree and a communications degree because I was

1361
01:30:16,360 --> 01:30:18,920
Speaker 1: good at it. Because I was really really good at

1362
01:30:18,920 --> 01:30:21,360
Speaker 1: writing when I was in high school. I was really

1363
01:30:21,400 --> 01:30:23,639
Speaker 1: really good at writing. When I was in college, I said,

1364
01:30:23,680 --> 01:30:24,960
Speaker 1: you know what, I'm going to get an English degree.

1365
01:30:25,000 --> 01:30:26,639
Speaker 1: I always knew I was going to go to law school.

1366
01:30:26,640 --> 01:30:28,960
Speaker 1: I just need to get really good grades so I

1367
01:30:28,960 --> 01:30:32,080
Speaker 1: can get into whatever law school I want to get into.

1368
01:30:33,680 --> 01:30:37,040
Speaker 1: But what honest to goodness, and I'm not a plead,

1369
01:30:37,120 --> 01:30:40,479
Speaker 1: I'm not ripping on the English degree I got. I

1370
01:30:40,560 --> 01:30:44,479
Speaker 1: loved the classes I took. I took an entire class

1371
01:30:44,560 --> 01:30:48,840
Speaker 1: on just Shakespeare's sonnets. For goodness sakes, I mean I.

1372
01:30:48,840 --> 01:30:49,439
Speaker 2: Learned a ton.

1373
01:30:49,760 --> 01:30:54,120
Speaker 1: I see English and literature as this study again when

1374
01:30:54,120 --> 01:30:58,160
Speaker 1: I'm fascinated with the study of human behavior, the study

1375
01:30:58,280 --> 01:31:02,240
Speaker 1: of history, all of that. Took a class on just

1376
01:31:02,280 --> 01:31:06,680
Speaker 1: the Romantic poets, William Wordsworth, Samuel Taylor, Coleridge.

1377
01:31:06,160 --> 01:31:10,160
Speaker 2: And all of that. I loved it.

1378
01:31:10,680 --> 01:31:14,080
Speaker 1: But ultimately, what sort of job was I going to

1379
01:31:14,120 --> 01:31:18,080
Speaker 1: get in the English field? Pretty much English teacher or

1380
01:31:18,160 --> 01:31:23,160
Speaker 1: English professor. That was kind of it. Sure I could

1381
01:31:23,200 --> 01:31:26,559
Speaker 1: have gotten a career writing novels, but you better have

1382
01:31:26,680 --> 01:31:29,880
Speaker 1: a pretty damn good novel or you are not going

1383
01:31:29,920 --> 01:31:38,759
Speaker 1: to make any money writing books. Universities have really got

1384
01:31:38,800 --> 01:31:44,200
Speaker 1: to adapt, and this story is reflective of that mindset

1385
01:31:45,040 --> 01:31:49,559
Speaker 1: that may have worked when universities were essentially the only

1386
01:31:49,640 --> 01:31:50,519
Speaker 1: game in town.

1387
01:31:51,120 --> 01:31:54,519
Speaker 2: There were more potential customers, I e.

1388
01:31:54,800 --> 01:32:00,559
Speaker 1: Students out there being born going into college's every single year,

1389
01:32:01,280 --> 01:32:04,479
Speaker 1: and there were more parents who were saying, Okay, you

1390
01:32:04,680 --> 01:32:07,920
Speaker 1: need to go to college. We'll continue this in just

1391
01:32:07,960 --> 01:32:10,439
Speaker 1: a second. We'll take some phone calls in texts as well.

1392
01:32:10,479 --> 01:32:13,160
Speaker 1: Four one, four, seven, nine to nine to eleven thirty.

1393
01:32:15,400 --> 01:32:19,120
Speaker 1: First of Wisconsin professors are really doing this. They're saying

1394
01:32:19,160 --> 01:32:25,160
Speaker 1: it's unconstitutional to require college teachers to teach big article

1395
01:32:25,400 --> 01:32:30,400
Speaker 1: in the cap times out of Madison. UW Madison professors

1396
01:32:30,439 --> 01:32:36,280
Speaker 1: are really, really, really fighting back against a requirement in

1397
01:32:36,320 --> 01:32:39,479
Speaker 1: the new state budget that, in exchange for getting oh,

1398
01:32:39,520 --> 01:32:43,200
Speaker 1: I don't know, a quarter of a billion dollars in

1399
01:32:43,320 --> 01:32:47,800
Speaker 1: new taxpayer revenue over the next two years, University of

1400
01:32:47,800 --> 01:32:52,000
Speaker 1: Wisconsin Madison and Milwaukee professors will be required to teach

1401
01:32:52,240 --> 01:32:57,240
Speaker 1: twelve credit hours per year and a minimum of one

1402
01:32:57,360 --> 01:32:58,599
Speaker 1: class per semester.

1403
01:33:00,439 --> 01:33:01,400
Speaker 2: This seems like.

1404
01:33:02,840 --> 01:33:07,240
Speaker 1: About I mean, imagine, okay, okay, I am employed by

1405
01:33:07,360 --> 01:33:11,720
Speaker 1: iHeartMedia to do a radio show three hours a day.

1406
01:33:14,000 --> 01:33:19,360
Speaker 1: I also, you know, write columns and you know, do

1407
01:33:19,560 --> 01:33:24,640
Speaker 1: blogs occasionally. I make videos, I do TV hits for

1408
01:33:24,760 --> 01:33:30,600
Speaker 1: Newsmax various other networks. Imagine if I told iHeartMedia, you

1409
01:33:30,720 --> 01:33:35,400
Speaker 1: know what iHeart for the next six months. I'm just

1410
01:33:35,520 --> 01:33:40,120
Speaker 1: gonna need to focus on research now. A lot of

1411
01:33:40,120 --> 01:33:44,840
Speaker 1: people in my position write books, right Mark Levin, Ben Shapiro,

1412
01:33:44,960 --> 01:33:49,960
Speaker 1: I think just released a book. I myself am functionally illiterate,

1413
01:33:50,080 --> 01:33:52,080
Speaker 1: so I don't think I will ever write a book.

1414
01:33:52,080 --> 01:33:54,280
Speaker 1: I frankly, I don't really have time. I don't see

1415
01:33:54,320 --> 01:33:57,640
Speaker 1: how those folks do it. I am told neither of

1416
01:33:57,680 --> 01:34:01,560
Speaker 1: them uses ghostwriters, that they are actually writing the books themselves.

1417
01:34:02,120 --> 01:34:05,360
Speaker 1: Boy oh boy, they have way more time on their

1418
01:34:05,400 --> 01:34:06,320
Speaker 1: hands than I do.

1419
01:34:07,040 --> 01:34:08,000
Speaker 2: Let's say.

1420
01:34:09,560 --> 01:34:15,479
Speaker 1: I said, okay, iHeart six months a semester. I don't

1421
01:34:15,479 --> 01:34:17,400
Speaker 1: want to do a radio show every day because I

1422
01:34:17,439 --> 01:34:21,240
Speaker 1: want to focus on researching for my book. What do

1423
01:34:21,280 --> 01:34:25,320
Speaker 1: you think iHeart would say to me the same thing

1424
01:34:25,439 --> 01:34:30,320
Speaker 1: Westwood One, Mark Levin's syndicator would say to him if

1425
01:34:30,320 --> 01:34:32,320
Speaker 1: he said he wanted to take a massive amount of

1426
01:34:32,320 --> 01:34:35,040
Speaker 1: time off to write his next book. They would say, Okay, well,

1427
01:34:35,080 --> 01:34:39,160
Speaker 1: you're under contract to do a radio show for us

1428
01:34:39,240 --> 01:34:43,400
Speaker 1: on X number of stations. You better figure it out.

1429
01:34:43,479 --> 01:34:49,040
Speaker 1: Let's go to the phones and talk with Bill in Pewaukee. Bill,

1430
01:34:49,080 --> 01:34:51,080
Speaker 1: you're on the Dan o'donald show. Welcome to it.

1431
01:34:52,320 --> 01:34:55,400
Speaker 11: Hey, Dan, great show as usual. I'm calling to reinforce

1432
01:34:55,560 --> 01:34:57,920
Speaker 11: one particular aspect of what you're talking about. You know,

1433
01:34:57,960 --> 01:35:01,760
Speaker 11: those professors, just go ahead, guys, committee collective suicide. As

1434
01:35:01,800 --> 01:35:05,920
Speaker 11: an example, myself and all three of my daughters are

1435
01:35:06,000 --> 01:35:11,240
Speaker 11: Marquette University graduates, and the eldest one is a is

1436
01:35:11,320 --> 01:35:16,040
Speaker 11: a senior high school counselor locally. I won't give her name,

1437
01:35:16,080 --> 01:35:18,760
Speaker 11: and I won't give the school, but she has been

1438
01:35:18,800 --> 01:35:21,240
Speaker 11: counseling for the last four or five six years and

1439
01:35:21,280 --> 01:35:23,479
Speaker 11: she's very well respected and sort of a leader in

1440
01:35:23,520 --> 01:35:27,800
Speaker 11: the field. She's been counseling kids no, no, forget the

1441
01:35:27,840 --> 01:35:29,920
Speaker 11: college rout and it's great. She brings the parents in

1442
01:35:29,960 --> 01:35:31,439
Speaker 11: that say I want to go here there, and so

1443
01:35:31,520 --> 01:35:33,720
Speaker 11: she brings up how much it's going to cost, and

1444
01:35:33,760 --> 01:35:36,559
Speaker 11: then she goes over to a trade and a local

1445
01:35:36,600 --> 01:35:39,400
Speaker 11: community college and a two year college school, shows them

1446
01:35:39,400 --> 01:35:41,519
Speaker 11: how much it costs, and then says, you graduate with

1447
01:35:41,560 --> 01:35:44,639
Speaker 11: a degree in sociology in four years, you can look

1448
01:35:44,640 --> 01:35:47,759
Speaker 11: at maybe if you're lucky, starting about thirty thousand dollars,

1449
01:35:48,080 --> 01:35:50,599
Speaker 11: you come out in your apprentice ship. And by the way,

1450
01:35:50,640 --> 01:35:53,760
Speaker 11: all of these trades that they intern locally with businesses.

1451
01:35:53,880 --> 01:35:56,240
Speaker 11: You'll come out and you'll be making sixty thousand dollars

1452
01:35:56,280 --> 01:35:59,800
Speaker 11: and you will have no or little debt. It is

1453
01:35:59,840 --> 01:36:02,160
Speaker 11: a sea change going on out here. And I've met

1454
01:36:02,200 --> 01:36:05,000
Speaker 11: her a couple of her buddies counselors. Also, it's all

1455
01:36:05,280 --> 01:36:07,920
Speaker 11: trending that way. So these people can sit there, these

1456
01:36:07,920 --> 01:36:12,800
Speaker 11: professors and these point aheaded intellectuals at these universities and

1457
01:36:13,160 --> 01:36:16,599
Speaker 11: say blah blah blah. But I tell you what you're

1458
01:36:16,600 --> 01:36:19,559
Speaker 11: losing these young people fast and furiously as they start

1459
01:36:19,560 --> 01:36:20,240
Speaker 11: to wise.

1460
01:36:20,080 --> 01:36:21,800
Speaker 2: Up, because what they're wising up to.

1461
01:36:21,960 --> 01:36:24,400
Speaker 1: Thank you so much for that perspective, Bill, really do

1462
01:36:24,520 --> 01:36:27,879
Speaker 1: appreciate it. What they're wising up to is that it's

1463
01:36:28,160 --> 01:36:33,439
Speaker 1: an economic calculus. If you are carrying a massive amount

1464
01:36:33,439 --> 01:36:37,320
Speaker 1: of debt, why do we have such a big affordability

1465
01:36:37,360 --> 01:36:39,880
Speaker 1: crisis in this country. Yes, the price of everything has

1466
01:36:39,920 --> 01:36:43,360
Speaker 1: gone up, but why are young people no longer able

1467
01:36:43,439 --> 01:36:46,439
Speaker 1: to purchase homes, They're no longer able to purchase condos.

1468
01:36:46,479 --> 01:36:50,800
Speaker 1: They're pushing back essentially starting life. So many of them

1469
01:36:51,360 --> 01:36:54,719
Speaker 1: are getting in the whole very early, with massive amounts

1470
01:36:54,720 --> 01:36:59,320
Speaker 1: of debt that prior generations didn't incur. The baby boom

1471
01:36:59,360 --> 01:37:03,439
Speaker 1: generation and was very blessed in that college was what

1472
01:37:03,479 --> 01:37:07,000
Speaker 1: a couple hundred bucks per semester. You could pay for

1473
01:37:07,080 --> 01:37:11,280
Speaker 1: it by working while you went to class. That's no

1474
01:37:11,400 --> 01:37:14,599
Speaker 1: longer doable. You almost have to take on, especially if

1475
01:37:14,600 --> 01:37:18,360
Speaker 1: you're going to private universities, a massive amount of debt

1476
01:37:18,840 --> 01:37:22,360
Speaker 1: that if you're not making one hundred and fifty thousand

1477
01:37:22,400 --> 01:37:25,200
Speaker 1: dollars right out of the gate, you're not going to

1478
01:37:25,240 --> 01:37:27,840
Speaker 1: be able to pay off very quickly. Well, if you're

1479
01:37:27,840 --> 01:37:31,439
Speaker 1: paying several hundred dollars a month for a car, several

1480
01:37:31,600 --> 01:37:35,800
Speaker 1: hundred dollars a month for student loans, there's often for

1481
01:37:36,000 --> 01:37:40,559
Speaker 1: young people, people under thirty, no room in there to

1482
01:37:40,640 --> 01:37:44,760
Speaker 1: fit in several hundred or several thousand dollars more accurately

1483
01:37:45,360 --> 01:37:49,640
Speaker 1: for a mortgage or for rent. This is really the

1484
01:37:49,680 --> 01:37:53,720
Speaker 1: big it's the big X factor that a whole lot

1485
01:37:53,720 --> 01:37:57,800
Speaker 1: of people of prior generations didn't have. So yes, they

1486
01:37:58,080 --> 01:38:00,720
Speaker 1: were going to the trades and they were going to

1487
01:38:00,760 --> 01:38:05,280
Speaker 1: get associate's degrees, but they were also getting bachelor's degrees

1488
01:38:05,720 --> 01:38:11,320
Speaker 1: without government intervention in the loan process, which basically whenever

1489
01:38:11,360 --> 01:38:15,760
Speaker 1: government starts backing loans, whenever government is getting between the

1490
01:38:15,880 --> 01:38:19,680
Speaker 1: customer and the product. We see this also in the

1491
01:38:20,640 --> 01:38:27,000
Speaker 1: medical field. Why is Obamacare just going out of control

1492
01:38:27,080 --> 01:38:31,680
Speaker 1: with the costs, Because when government is essentially guaranteeing that

1493
01:38:31,760 --> 01:38:35,800
Speaker 1: the bills will get paid, you can charge whatever it

1494
01:38:35,920 --> 01:38:39,280
Speaker 1: is you want. And that's what happened with universities sometime

1495
01:38:39,360 --> 01:38:42,799
Speaker 1: at about the mid nineteen eighties to about the two thousands.

1496
01:38:42,840 --> 01:38:48,599
Speaker 1: It really accelerated. Since then, tuitions have gone up so much,

1497
01:38:48,680 --> 01:38:52,000
Speaker 1: and it's not as though we're paying for more or

1498
01:38:52,120 --> 01:38:56,840
Speaker 1: better professors or facilities or things like that. Often it's

1499
01:38:56,880 --> 01:39:02,439
Speaker 1: going to an ever more bloated bureaucracy, especially when those

1500
01:39:02,560 --> 01:39:06,759
Speaker 1: universities are getting state funds, like the University of Wisconsin system.

1501
01:39:06,800 --> 01:39:10,000
Speaker 1: You said your kids go to Marquette. For Marquette, it's

1502
01:39:10,240 --> 01:39:15,759
Speaker 1: you either attract students who you educate and you send

1503
01:39:15,760 --> 01:39:19,080
Speaker 1: out into the world and you rely on them to

1504
01:39:19,120 --> 01:39:22,559
Speaker 1: come back and to donate to the university and to

1505
01:39:22,720 --> 01:39:27,040
Speaker 1: support the university by sending their kids there, or you

1506
01:39:27,080 --> 01:39:31,679
Speaker 1: don't exist. The University of Wisconsin system is always going

1507
01:39:31,720 --> 01:39:34,520
Speaker 1: to exist because it's always going to be backed by taxpayers.

1508
01:39:34,600 --> 01:39:39,200
Speaker 1: There is no necessity of making yourself as attractive as

1509
01:39:39,320 --> 01:39:42,880
Speaker 1: possible to clients Marquett's a great example. I mean they

1510
01:39:42,920 --> 01:39:47,639
Speaker 1: have gone on the biggest building binge I've ever seen

1511
01:39:47,680 --> 01:39:49,720
Speaker 1: over the last two and a half decades. I mean,

1512
01:39:49,760 --> 01:39:53,160
Speaker 1: they've got a one hundred million dollar rec center, They've

1513
01:39:53,200 --> 01:39:55,479
Speaker 1: got a dental school that they just built. The law

1514
01:39:55,520 --> 01:39:57,880
Speaker 1: school is absolutely gorgeous. Of course, they built all of

1515
01:39:57,880 --> 01:40:01,360
Speaker 1: this after I left, so I didn't get to take part.

1516
01:40:01,400 --> 01:40:05,000
Speaker 1: And it's a beautiful campus. But they're doing that because

1517
01:40:05,040 --> 01:40:09,320
Speaker 1: they need to get students to choose Marquette, or to

1518
01:40:09,479 --> 01:40:14,720
Speaker 1: choose Carthage College, or to choose Carol University. Private institutions

1519
01:40:14,960 --> 01:40:18,760
Speaker 1: don't have the same luxury of being able to essentially

1520
01:40:18,880 --> 01:40:23,040
Speaker 1: thumb their noses at the idea of teaching. You're listening

1521
01:40:23,040 --> 01:40:25,880
Speaker 1: to The Dan o'donald Show. We will talk with Jacqueline

1522
01:40:25,920 --> 01:40:30,519
Speaker 1: Stapp of President Trump's Make America Fetanyl Free initiative when

1523
01:40:30,560 --> 01:40:37,679
Speaker 1: The Dan o'donald Show returns. Wisconsin over the past couple

1524
01:40:37,760 --> 01:40:42,760
Speaker 1: of years has seen a massive spike in fatal fetanyl

1525
01:40:42,960 --> 01:40:48,439
Speaker 1: overdoses from the baseline year of twenty nineteen, where the

1526
01:40:48,600 --> 01:40:54,200
Speaker 1: state saw six hundred and fifty one total drug overdoses

1527
01:40:54,680 --> 01:40:59,120
Speaker 1: where synthetic opioids were involved, in about seventy percent of

1528
01:40:59,280 --> 01:41:04,879
Speaker 1: all opio deaths. We spiked to one thousand, twelve hundred

1529
01:41:05,000 --> 01:41:10,280
Speaker 1: and eighty in twenty twenty one, and by twenty twenty

1530
01:41:10,320 --> 01:41:13,880
Speaker 1: three we had even more than that. Now that number

1531
01:41:13,920 --> 01:41:18,720
Speaker 1: has thankfully been on the decline thanks to awareness efforts

1532
01:41:18,840 --> 01:41:24,559
Speaker 1: and efforts to get into loxon in a lot of

1533
01:41:24,600 --> 01:41:29,360
Speaker 1: public places to where law enforcement officers would be able

1534
01:41:29,360 --> 01:41:33,960
Speaker 1: to administer it to people who are suffering from overdoses.

1535
01:41:34,200 --> 01:41:38,559
Speaker 1: Fetanyl over the past several years was detected in roughly

1536
01:41:38,760 --> 01:41:42,519
Speaker 1: eighty to ninety percent of opioid related deaths here in

1537
01:41:42,560 --> 01:41:46,120
Speaker 1: Wisconsin and seventy five percent of.

1538
01:41:46,280 --> 01:41:48,080
Speaker 2: All drug overdoses.

1539
01:41:48,160 --> 01:41:51,439
Speaker 1: This is a massive problem, and that's why the Trump

1540
01:41:51,520 --> 01:41:56,759
Speaker 1: administration has launched the Make America Fetanyl Free Initiative. Joining

1541
01:41:56,800 --> 01:41:59,800
Speaker 1: us now is a board member of that and she

1542
01:42:00,000 --> 01:42:04,839
Speaker 1: as an activist trying to get fetanyl out of this country.

1543
01:42:04,880 --> 01:42:08,120
Speaker 1: We welcome Jacqueline Staff to the Dan O'Donnell Show.

1544
01:42:08,240 --> 01:42:09,880
Speaker 2: Jacqueline, so great to have you on.

1545
01:42:11,360 --> 01:42:13,640
Speaker 13: Hi, Dan, thanks for having me. Good to talk to you.

1546
01:42:14,200 --> 01:42:18,360
Speaker 1: So this is really a massive problem, and I suspect

1547
01:42:18,439 --> 01:42:22,040
Speaker 1: that Wisconsin is like a lot of states. I do

1548
01:42:22,200 --> 01:42:25,599
Speaker 1: know that the Midwest, Upper Midwest in particular has been

1549
01:42:25,680 --> 01:42:29,439
Speaker 1: hard hit by the fetanyl epidemic. But we from twenty

1550
01:42:29,479 --> 01:42:33,560
Speaker 1: one to twenty three, I think nationally saw just massive spikes.

1551
01:42:33,160 --> 01:42:39,080
Speaker 13: Right, absolutely, Dan, And you know President Trump has made

1552
01:42:39,120 --> 01:42:44,120
Speaker 13: this fentinal crisis a top priority. Fentanyl has now become

1553
01:42:44,160 --> 01:42:47,519
Speaker 13: the number one cause of death for Americans ages eighteen

1554
01:42:47,520 --> 01:42:51,240
Speaker 13: to forty five, and people are dying. He wants to

1555
01:42:51,320 --> 01:42:54,840
Speaker 13: save americans lives. This is this is this campaign was

1556
01:42:54,840 --> 01:42:57,439
Speaker 13: born out of the desire for him to launch this

1557
01:42:57,560 --> 01:43:02,599
Speaker 13: campaign to save these children, as Kateie's families. This drug,

1558
01:43:02,680 --> 01:43:06,680
Speaker 13: this street drug, is fifty times stronger than a morphine,

1559
01:43:06,680 --> 01:43:10,679
Speaker 13: and just two milligrams can be fatal. And oftentimes these

1560
01:43:10,720 --> 01:43:13,240
Speaker 13: young children, they don't know what they're taking. They think

1561
01:43:13,240 --> 01:43:16,560
Speaker 13: they're taking a perposet or a xanax or an oxycodone,

1562
01:43:16,840 --> 01:43:21,280
Speaker 13: even the adults, and they're laced with spentanyl. One pill, BottomLine,

1563
01:43:21,360 --> 01:43:24,599
Speaker 13: from a friend or a family can be deadly. And

1564
01:43:24,920 --> 01:43:27,400
Speaker 13: he is working hard to put an end to this.

1565
01:43:27,920 --> 01:43:29,640
Speaker 13: We've got a lot of work to do. It's a

1566
01:43:29,720 --> 01:43:32,519
Speaker 13: very serious issue. He's done exactly what he said he

1567
01:43:32,600 --> 01:43:34,400
Speaker 13: was going to do on day one of his presency.

1568
01:43:35,280 --> 01:43:38,160
Speaker 13: He's shut down, close the border, and he's starting to

1569
01:43:38,240 --> 01:43:41,800
Speaker 13: hit the ground running to make change to save americans lives.

1570
01:43:42,400 --> 01:43:44,680
Speaker 1: Is that the biggest piece of this shutting down the

1571
01:43:44,720 --> 01:43:48,280
Speaker 1: border making sure that this stuff just doesn't come up

1572
01:43:48,320 --> 01:43:51,080
Speaker 1: from Mexico. I mean, what we do know is that

1573
01:43:51,200 --> 01:43:56,120
Speaker 1: when it was you know, opioids were primarily you had

1574
01:43:56,160 --> 01:43:58,679
Speaker 1: a lot of the heroin coming from the poppy fields

1575
01:43:58,680 --> 01:44:03,040
Speaker 1: of Afghanistan and the Middle East. Well, synthetic opioids were

1576
01:44:03,160 --> 01:44:08,519
Speaker 1: able to be manufactured very easily, very quickly, and pretty

1577
01:44:08,560 --> 01:44:13,000
Speaker 1: much anywhere in South America and Central America. So what

1578
01:44:13,040 --> 01:44:16,000
Speaker 1: we saw over the last early ten to fifteen years

1579
01:44:16,600 --> 01:44:20,040
Speaker 1: is that the Central and South American drug trade, as

1580
01:44:20,280 --> 01:44:25,040
Speaker 1: ironically marijuana was being legalized, the drug cartels were turning

1581
01:44:25,120 --> 01:44:29,840
Speaker 1: to substances that were just as easy to manufacture and

1582
01:44:30,080 --> 01:44:33,880
Speaker 1: much more of a profit generator. And that's what led

1583
01:44:33,920 --> 01:44:39,120
Speaker 1: to this big increase in fetanol and synthetic opioids and

1584
01:44:39,160 --> 01:44:42,200
Speaker 1: that sort of thing. But you mentioned closing down the border,

1585
01:44:42,240 --> 01:44:44,280
Speaker 1: is is that the biggest piece? What else is the

1586
01:44:44,280 --> 01:44:48,760
Speaker 1: Trump administration doing here domestically to try to choke off

1587
01:44:48,800 --> 01:44:49,320
Speaker 1: that supply.

1588
01:44:50,439 --> 01:44:53,360
Speaker 13: Yeah, I can say we know that under President Trump

1589
01:44:53,439 --> 01:44:56,519
Speaker 13: to fentanyl costings at the border are down fifty four

1590
01:44:56,640 --> 01:45:00,480
Speaker 13: percent as compared to the same time with under the bidenministration.

1591
01:45:01,439 --> 01:45:05,160
Speaker 13: He aims to continue to eradicate this, the fentanyl from

1592
01:45:05,200 --> 01:45:08,599
Speaker 13: our country. He's making it clear if you come into

1593
01:45:08,680 --> 01:45:10,280
Speaker 13: our homeland, he's going to.

1594
01:45:10,280 --> 01:45:11,120
Speaker 1: Put an end to it.

1595
01:45:11,880 --> 01:45:16,479
Speaker 13: He's, you know, strengthening the penalties and the crimes with

1596
01:45:16,600 --> 01:45:21,479
Speaker 13: the Halt Act of ten years mandatory in prison. So

1597
01:45:21,520 --> 01:45:25,880
Speaker 13: he's working in different areas to let these terrorists know,

1598
01:45:26,240 --> 01:45:28,280
Speaker 13: do not come into our country, do not bring us

1599
01:45:28,280 --> 01:45:31,160
Speaker 13: poison into our country. He knew this wasn't just a

1600
01:45:31,240 --> 01:45:34,880
Speaker 13: drug issue. It's becoming a national security issue. And that's

1601
01:45:34,920 --> 01:45:37,200
Speaker 13: why he made us a mission to tackle this on

1602
01:45:37,320 --> 01:45:38,840
Speaker 13: with make America Fentanel Free.

1603
01:45:39,479 --> 01:45:43,040
Speaker 1: And I actually, just in preparing for this interview, saw

1604
01:45:43,200 --> 01:45:47,799
Speaker 1: some just alarming videos out of Philadelphia. People rather obviously

1605
01:45:47,840 --> 01:45:51,759
Speaker 1: on fetanyl or heroine or other opioids. You can always

1606
01:45:51,800 --> 01:45:54,960
Speaker 1: tell because they're falling asleep standing up. It's called the

1607
01:45:55,040 --> 01:45:59,280
Speaker 1: front lean And you know, this seems to kind of coincide.

1608
01:45:59,280 --> 01:46:01,439
Speaker 1: They're just people all over I saw this. I was

1609
01:46:01,479 --> 01:46:04,400
Speaker 1: in Austin, Texas visiting my brother. A couple of months ago,

1610
01:46:04,479 --> 01:46:07,479
Speaker 1: and we saw this too, just all over downtown. This

1611
01:46:07,560 --> 01:46:10,080
Speaker 1: seems to be sort of part and parcel of President

1612
01:46:10,160 --> 01:46:13,880
Speaker 1: Trump's plan to clean up America's streets, to get these

1613
01:46:13,920 --> 01:46:16,559
Speaker 1: people the help they need, and to lock up the

1614
01:46:16,600 --> 01:46:19,960
Speaker 1: people who are selling them these dangerous substances.

1615
01:46:21,160 --> 01:46:24,599
Speaker 13: You're absolutely right, it's devastating to watch. And you know,

1616
01:46:24,680 --> 01:46:27,599
Speaker 13: for me, Danna, as a mother with three children, I

1617
01:46:27,680 --> 01:46:30,760
Speaker 13: can't imagine the heartbreak of losing a child. I hear

1618
01:46:30,840 --> 01:46:33,720
Speaker 13: some of these parents tell me their stories. You know,

1619
01:46:33,760 --> 01:46:38,200
Speaker 13: this mother burying her son thirteen years old, a straight

1620
01:46:38,240 --> 01:46:41,360
Speaker 13: a student athlete, didn't know what he was taking, you know,

1621
01:46:41,520 --> 01:46:45,080
Speaker 13: accidental overdose, and it's devastating. This isn't just a problem

1622
01:46:45,160 --> 01:46:47,960
Speaker 13: happening in the big cities. It's also it's in our neighborhoods.

1623
01:46:47,960 --> 01:46:50,320
Speaker 13: It's in our schools. It's even showing up in middle

1624
01:46:50,320 --> 01:46:54,839
Speaker 13: school classrooms. And no parents should have to bury their child.

1625
01:46:54,960 --> 01:46:57,280
Speaker 13: And you know a lot of parents are at the

1626
01:46:57,280 --> 01:47:00,080
Speaker 13: White House holding pictures of their child, crying to the

1627
01:47:00,080 --> 01:47:02,439
Speaker 13: President and he said, I'm going to work hard to

1628
01:47:02,479 --> 01:47:04,439
Speaker 13: put an end to this, and this is exactly what

1629
01:47:04,600 --> 01:47:06,320
Speaker 13: he's doing under his leadership.

1630
01:47:07,000 --> 01:47:09,040
Speaker 1: I mean, you don't want to point fingers for this,

1631
01:47:09,640 --> 01:47:13,840
Speaker 1: but it does seem like the problem really got exacerbated

1632
01:47:14,160 --> 01:47:17,479
Speaker 1: in the prior administration where we did have open borders.

1633
01:47:17,520 --> 01:47:20,240
Speaker 1: I mean, when we did have a border patrol that

1634
01:47:20,439 --> 01:47:23,760
Speaker 1: was far too busy and not empowered to actually do

1635
01:47:23,840 --> 01:47:27,320
Speaker 1: its job, but far too busy basically housing and taking

1636
01:47:27,360 --> 01:47:29,479
Speaker 1: care of all the people who are presenting themselves with

1637
01:47:29,560 --> 01:47:32,559
Speaker 1: bogus asylum and refugee claims. I mean, I don't think

1638
01:47:32,600 --> 01:47:36,000
Speaker 1: it's an accident that we saw these massive spikes in

1639
01:47:36,040 --> 01:47:39,639
Speaker 1: fentanyl overdoses from twenty twenty one to twenty twenty four.

1640
01:47:39,760 --> 01:47:45,599
Speaker 13: Is it absolutely not? He knew the dangers of keeping

1641
01:47:45,640 --> 01:47:50,360
Speaker 13: that border open, and did he under Biden's administration, it was.

1642
01:47:50,479 --> 01:47:53,000
Speaker 13: It was a mistake, and it was very dangerous, and

1643
01:47:53,400 --> 01:47:57,360
Speaker 13: we saw the crime increase. We saw you know, children dying,

1644
01:47:57,520 --> 01:48:00,240
Speaker 13: and this deadly, you know, free well of drug was

1645
01:48:00,240 --> 01:48:03,320
Speaker 13: coming into our country. And he did exactly what he

1646
01:48:03,320 --> 01:48:06,040
Speaker 13: said he was going to do, shut the border down

1647
01:48:06,040 --> 01:48:08,800
Speaker 13: on day one, and we are seeing the results of

1648
01:48:08,840 --> 01:48:12,760
Speaker 13: that by the traffic of drugs flowing down. Now, we

1649
01:48:12,880 --> 01:48:15,160
Speaker 13: still have a lot of work to do. There's still

1650
01:48:15,160 --> 01:48:17,200
Speaker 13: a lot of awareness that needs to come out of

1651
01:48:17,240 --> 01:48:20,559
Speaker 13: this to spread the word. You know, this campaign is

1652
01:48:20,560 --> 01:48:26,479
Speaker 13: a privately multimillion dollar, privately funded campaign, and he's going

1653
01:48:26,520 --> 01:48:29,240
Speaker 13: to spread the message to the schools, to the churches,

1654
01:48:29,280 --> 01:48:32,200
Speaker 13: to the communities. You know, these kids are even buying

1655
01:48:32,240 --> 01:48:36,519
Speaker 13: it online. These drug dealers are shrewd and cunning and

1656
01:48:36,600 --> 01:48:39,280
Speaker 13: know how to get to these young vulnerable kids on

1657
01:48:39,320 --> 01:48:43,479
Speaker 13: social media. And so he's working around the clock to

1658
01:48:43,520 --> 01:48:45,879
Speaker 13: put an end to this and to stop these terrorists

1659
01:48:45,920 --> 01:48:47,559
Speaker 13: bringing this poison into our country.

1660
01:48:48,280 --> 01:48:52,760
Speaker 1: Jacqueline Staff with the Make America Fetanyl Free Initiative my

1661
01:48:52,800 --> 01:48:56,360
Speaker 1: guest on the Dan o'donnald Show. Jacqueline, thank you so much.

1662
01:48:56,520 --> 01:48:59,320
Speaker 1: Really do appreciate you taking the time to talk about

1663
01:48:59,320 --> 01:49:01,720
Speaker 1: this incredibly important issue.

1664
01:49:01,920 --> 01:49:02,519
Speaker 13: Thank you. Dan.

1665
01:49:03,360 --> 01:49:06,759
Speaker 1: All right, coming up on the Dano donald Show, Well,

1666
01:49:07,560 --> 01:49:10,960
Speaker 1: Dealer's Choice. There's a ton of stories that I haven't

1667
01:49:11,000 --> 01:49:13,439
Speaker 1: gotten to, and we're going to try to get to

1668
01:49:13,520 --> 01:49:15,719
Speaker 1: as many of them as I can, or at least

1669
01:49:15,840 --> 01:49:17,000
Speaker 1: one or two.

1670
01:49:17,280 --> 01:49:21,080
Speaker 2: Stay tuned. We're coming right back once again.

1671
01:49:21,160 --> 01:49:25,640
Speaker 1: My thanks to Jacqueline's stapp for joining us here on

1672
01:49:25,680 --> 01:49:30,679
Speaker 1: the dano' donald Show. She apparently, as I learned from

1673
01:49:30,720 --> 01:49:34,240
Speaker 1: a number of friends and listeners, she is estranged from

1674
01:49:34,280 --> 01:49:37,600
Speaker 1: her husband. I'm not sure if they They filed for divorce,

1675
01:49:37,680 --> 01:49:40,040
Speaker 1: but I'm not sure if they were ever actually divorced.

1676
01:49:40,960 --> 01:49:44,080
Speaker 1: At the very least, it was a subject I decided

1677
01:49:44,200 --> 01:49:45,640
Speaker 1: not to bring.

1678
01:49:45,479 --> 01:49:47,160
Speaker 2: Up in our interview.

1679
01:49:47,200 --> 01:49:50,479
Speaker 1: Obviously, it is a very important topic that we were

1680
01:49:50,600 --> 01:49:54,000
Speaker 1: discussing the rise of fentanyl.

1681
01:49:55,760 --> 01:49:57,040
Speaker 2: I want to finish with this.

1682
01:49:57,200 --> 01:49:59,479
Speaker 1: It's not the most uplifting story in the world, but

1683
01:49:59,520 --> 01:50:01,519
Speaker 1: of audit, of all of the ones that we didn't

1684
01:50:01,560 --> 01:50:05,599
Speaker 1: get time for today, it is probably the most important.

1685
01:50:05,720 --> 01:50:11,160
Speaker 1: Retired Beloit Memorial High School teacher and coach molested multiple

1686
01:50:11,280 --> 01:50:15,560
Speaker 1: students over a decade ago. According to a criminal complaint

1687
01:50:16,240 --> 01:50:22,960
Speaker 1: obtained by Channel three thousand dot com in Madison, Andre Ducoke,

1688
01:50:23,400 --> 01:50:27,320
Speaker 1: sixty one, is charged with child enticement and sexual assault

1689
01:50:27,360 --> 01:50:31,240
Speaker 1: of a student by school staff. He appeared in court Wednesday,

1690
01:50:31,280 --> 01:50:34,880
Speaker 1: where he was given a five hundred thousand dollars bond.

1691
01:50:36,120 --> 01:50:40,000
Speaker 1: In September, November, and December of last year, four individuals

1692
01:50:40,200 --> 01:50:43,679
Speaker 1: reached out to authority sharing their stories regarding the teacher

1693
01:50:43,720 --> 01:50:48,040
Speaker 1: and coach who retired in twenty twenty one, and then

1694
01:50:48,200 --> 01:50:55,519
Speaker 1: they go into molestation and sexual misconduct by d Cooke.

1695
01:50:56,360 --> 01:51:01,759
Speaker 1: Why is this so important? What's the time frame there?

1696
01:51:03,680 --> 01:51:08,240
Speaker 1: Kaptimes dot com revealed that from twenty eighteen to twenty

1697
01:51:08,360 --> 01:51:14,240
Speaker 1: twenty three there were about two hundred investigations into sexual

1698
01:51:14,280 --> 01:51:21,240
Speaker 1: misconduct by teachers that never got reported to the public. Now,

1699
01:51:21,360 --> 01:51:26,240
Speaker 1: these allegations of sexual misconduct go farther back than that

1700
01:51:26,560 --> 01:51:32,680
Speaker 1: twenty thirteen twenty fourteen, according to the criminal complaint, what

1701
01:51:32,760 --> 01:51:36,760
Speaker 1: do you want to bet that mister Dukoke, who is

1702
01:51:36,800 --> 01:51:41,720
Speaker 1: a public school teacher through much of the time that

1703
01:51:41,880 --> 01:51:49,040
Speaker 1: DPI was covering up investigations into child sex assault, was

1704
01:51:49,200 --> 01:51:57,960
Speaker 1: also either attempting to molest more students or had been

1705
01:51:58,080 --> 01:52:04,839
Speaker 1: investigated himself for misconduct involving a student. This just happened

1706
01:52:04,840 --> 01:52:07,800
Speaker 1: to take place before the cap Times was able to

1707
01:52:07,800 --> 01:52:11,800
Speaker 1: get records. Remember, cap Times focused its investigation on a

1708
01:52:11,920 --> 01:52:15,200
Speaker 1: random five year period, the five year period for which

1709
01:52:15,640 --> 01:52:19,240
Speaker 1: the five most recent years for which full complete data

1710
01:52:19,600 --> 01:52:22,479
Speaker 1: would be available twenty eighteen to twenty twenty three. They

1711
01:52:22,520 --> 01:52:26,080
Speaker 1: started the investigation obviously in twenty twenty four. It was

1712
01:52:26,120 --> 01:52:30,280
Speaker 1: a year long investigation, so they looked the previous five years.

1713
01:52:31,160 --> 01:52:36,200
Speaker 1: That was probably a representative sample of all of the

1714
01:52:36,400 --> 01:52:40,200
Speaker 1: investigations in any given five year period that they would

1715
01:52:40,240 --> 01:52:43,639
Speaker 1: have been looking into. Had they looked into the five

1716
01:52:43,760 --> 01:52:48,360
Speaker 1: years before that, would they have found Andrew de Koke

1717
01:52:48,960 --> 01:52:56,120
Speaker 1: investigated for child sexual assault. This is exactly why this

1718
01:52:56,520 --> 01:53:02,320
Speaker 1: DPI scandal cannot be allowed to just quietly die as

1719
01:53:02,360 --> 01:53:05,479
Speaker 1: the rest of the media is attempting to let it do.

1720
01:53:07,040 --> 01:53:11,240
Speaker 1: This is one of the biggest most significant scandals to

1721
01:53:11,320 --> 01:53:16,679
Speaker 1: hit Wisconsin government in quite some time. And despite Department

1722
01:53:16,680 --> 01:53:22,760
Speaker 1: of Public instructions Superintendent doctor Jill Underley's attempts to obfiscate

1723
01:53:23,240 --> 01:53:27,400
Speaker 1: and explain away why her department was not reporting to

1724
01:53:27,479 --> 01:53:30,920
Speaker 1: the public what was going on with these investigations and

1725
01:53:31,120 --> 01:53:35,760
Speaker 1: was allowing teachers to surrender their licenses. What would have

1726
01:53:35,880 --> 01:53:41,759
Speaker 1: happened if Andrew d. Koke was investigated for sexual assault,

1727
01:53:41,920 --> 01:53:46,280
Speaker 1: realized he was guilty as sin and just voluntarily quit,

1728
01:53:46,479 --> 01:53:50,559
Speaker 1: surrendered his teaching license, and then just instead of going

1729
01:53:50,600 --> 01:53:56,760
Speaker 1: back to teaching coached. You had a serial sexual predator

1730
01:53:57,479 --> 01:54:02,400
Speaker 1: who was active during the time frame where DPI was

1731
01:54:02,600 --> 01:54:06,919
Speaker 1: not fully being transparent with the public, with parents, with teachers,

1732
01:54:06,920 --> 01:54:12,000
Speaker 1: with schools, with anybody about these sexual assault investigations. This

1733
01:54:12,200 --> 01:54:17,120
Speaker 1: is a big, big deal. We unfortunately are out of time.

1734
01:54:17,280 --> 01:54:20,240
Speaker 1: I wanted more time to get into this, because I

1735
01:54:20,360 --> 01:54:24,320
Speaker 1: for one am not going to let this DPI scandal die.

1736
01:54:25,040 --> 01:54:29,400
Speaker 1: But we have unfortunately run out of time here on

1737
01:54:29,520 --> 01:54:32,520
Speaker 1: the Dan o'donald Show. My thanks to Governor Scott Walker,

1738
01:54:32,560 --> 01:54:36,520
Speaker 1: to Jacqueline stap my guests today, my producer Eric, and

1739
01:54:36,720 --> 01:54:40,680
Speaker 1: all of you for listening. We are done for this evening,

1740
01:54:40,680 --> 01:54:43,000
Speaker 1: but have no fear We're back three zero six tomorrow

1741
01:54:43,040 --> 01:54:45,040
Speaker 1: and do it all again here on the Dan o'donald's

1742
01:54:45,040 --> 01:54:45,280
Speaker 1: Show