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Speaker 1: Welcome in. It is the Dan o'donald Show. So glad

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Speaker 1: to have had a winner in the Cold Hard Cash

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Speaker 1: contest last night. Kathy Loya listener, great friend of the program.

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Speaker 1: Let's make it back to back, shall we? H Appy?

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Speaker 1: Happy is your three o'clock word in the Cold Hard

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Speaker 1: Cash Contest. You have got until three fifty five to

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Speaker 1: go to our website and enter the keyword happy to

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Speaker 1: enter the contest for this hour. If your entry is

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Speaker 1: picked at random, I can guarantee you are going to

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Speaker 1: be happy because you will have an extra thousand dollars

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Speaker 1: in your wallet. And it's about as easy as it gets.

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Speaker 1: We have already had three winners on the Dan o'donald Show.

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Speaker 1: Two listening to us on our flagship WISN and Milwaukee.

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Speaker 1: Two on the Great thirteen to ten wibir excuse me

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Speaker 1: one on the Great thirteen ten WIBA. We are awaiting

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Speaker 1: President Trump speaking in a big policy speech in Iowa.

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Speaker 1: We are going to dip into that he is currently

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Speaker 1: at a machine shed in Des Moines, and as soon

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Speaker 1: as he starts speaking, we are going to go to that,

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Speaker 1: at least in part here on the Dan o'donald Show.

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Speaker 1: Right now though some of the top stories we are

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Speaker 1: following this hour. The President is expected to tout his

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Speaker 1: administration's economic successes, and he is also predicting big things

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Speaker 1: in the year ahead. He stopped to talk to reporters

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Speaker 1: while at that machine shed and addressed a number of

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Speaker 1: different topics, including the continuing unrest in Minneapolis. Once again,

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Speaker 1: we will dip into the President's speech once it gets

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Speaker 1: underway here on the Dan o'donald show, new information about

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Speaker 1: Alex Preddy, the man from Green Bay shot and killed

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Speaker 1: by law enforcement in Minneapolis while he was armed in

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Speaker 1: violently resisting rest on Saturday morning. This is not his

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Speaker 1: first time obstructing immigration enforcement in recent weeks. The complete

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Speaker 1: story coming up in just a second. Now, why is

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Speaker 1: it that Democrats are fighting so hard to prevent ice

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Speaker 1: from deporting dangerous, criminal illegal aliens. It just might have

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Speaker 1: something to do with brand new census data estimates out today,

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Speaker 1: we will explain in the four o'clock hour. At least

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Speaker 1: twenty three people are confirmed dead after a massive winter

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Speaker 1: storm swept through much of the US over the weekend.

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Speaker 1: Widespread power outages, flight cancelations do persist, and now frigid

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Speaker 1: cold temperatures are moving in, especially in the Northeast. If

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Speaker 1: you would like to join the Dan o'donald Show four one, four, seven, nine, nine,

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Speaker 1: eleven thirty, that's our avetnos dot com talk and text line.

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Speaker 1: Email me DoD at iHeartMedia dot com, at Dan o'donald show,

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Speaker 1: on Excellent, Facebook, on Instagram. We will be streaming live

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Speaker 1: on our YouTube channel in just a second. We're having

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Speaker 1: some audio issues, so we'll try to get those covered

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Speaker 1: and then we will join the show in progress via

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Speaker 1: our live stream. O reminder two, subscribe to the Dan

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Speaker 1: O'Donnell Show podcast on iHeartRadio or wherever you listen to podcasts.

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Speaker 1: At the Green Bay School District Board meeting last night,

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Speaker 1: board President James Lyerley honored Alex Pretty.

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Speaker 2: Before we reconvene into open session, We're going to take

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Speaker 2: a pause for a moment of silence to remember and

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Speaker 2: honor the life of Alex Pretty, two thousand and six

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Speaker 2: graduate of Preble High School. Alex was described by his

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Speaker 2: family and friends as conscientious, civic minded individual who cared

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Speaker 2: for veterans, his community, and the people around him. His

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Speaker 2: life reflects the value that we strive to instill in

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Speaker 2: our students compassion, service, and responsibility to others.

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Speaker 1: Is one of those values. Repeatedly stalking and attempting to

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Speaker 1: interfere with law enforcement operations because if it is, then yes,

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Speaker 1: absolutely Alex Pretty embodied those ideals. New reporting this afternoon

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Speaker 1: from CNN's Priscilla Alvarez indicates that this Saturday shooting was

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Speaker 1: not Pretty's first encounter with law enforcement agents in Minneapolis,

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Speaker 1: that in fact, he has been apparently stalking ICE agents

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Speaker 1: as part of the well coordinated signal group, and in fact,

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Speaker 1: a number of eagle eyed Internet users have found what

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Speaker 1: they believe to be Alex Pretti's signal call sign on

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Speaker 1: that big chat that was coordinating the anti ICE rest

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Speaker 1: sponsor in Minneapolis. Alvarez reported today that in fact, Preddy

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Speaker 1: was so violent in a previous encounter with ICE that

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Speaker 1: it took five agents to take him to the ground,

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Speaker 1: and that Preddy suffered a broken rib.

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Speaker 3: Now in this earlier incident, he stopped his car after

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Speaker 3: observing ICE agents chasing what he described as a family

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Speaker 3: on foot, and began shouting and blowing his whistle. Pretty

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Speaker 3: later told one of these sources that five agents tackled

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Speaker 3: him and one leaned pat on his back. Appearing to

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Speaker 3: leave him with a broken rib. According to this source,

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Speaker 3: and I'm quoting here that said quote that day, he

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Speaker 3: thought he was going to die. Now, Preddy was later

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Speaker 3: given medication that is consistent with treating a broken rib,

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Speaker 3: according to records reviewed by CNN. Versus also say that

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Speaker 3: he was known to federal law enforcement, though it's unclear

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Speaker 3: whether it was this incident or another with federal agents

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Speaker 3: that they they knew him, they knew of him.

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Speaker 1: It's also unclear.

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Speaker 3: Whether the officers who tackled him on Saturday knew who

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Speaker 3: he was.

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Speaker 1: That Priscilla Alvarez from CNN dot com. Now this fits

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Speaker 1: in with earlier reporting that Pretty's own parents were basically

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Speaker 1: pleading with him to not get involved in a violent

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Speaker 1: confrontation with ice officers. Now this definitely does check. Is

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Speaker 1: it possible that a week ago they were made aware

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Speaker 1: of the earlier incident with their son. Maybe he told them,

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Speaker 1: maybe a family member. I saw his sister was out

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Speaker 1: today blasting the quote misinformation about her brother, whom she

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Speaker 1: called a hero. What is abundantly clear is that Alex

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Speaker 1: Pretty was violating federal law not once, but twice in

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Speaker 1: attempting to assault or resist or impede a federal officer,

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Speaker 1: as we established yesterday, that is a direct violation of

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Speaker 1: eighteen US Code Section one to eleven, in relevant part.

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Speaker 1: Whoever forcibly assaults, resists, opposes, impedes, intimidates, or interferes with

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Speaker 1: any person while engaged in, or on account of the

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Speaker 1: performance of official duties, shall be fined under this title

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Speaker 1: or imprison not more than one year, or both. Rather obviously,

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Speaker 1: on multiple occasions, Alex Pretti was violating that exact statute.

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Speaker 1: If it can be established that he was part of

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Speaker 1: this signal chat, he would also be in violation of

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Speaker 1: eighteen US Code Section three seventy two Conspiracy to impede

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Speaker 1: or injure an officer. That reads, in relevant part, if

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Speaker 1: two or more persons conspired to molest, interrupt, hinder, or

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Speaker 1: impede an officer in the discharge of his official duties,

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Speaker 1: each of such persons shall be fined under this title

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Speaker 1: or imprison not more than six years, or both. Not

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Speaker 1: only that Renee Good, who was very obviously positioning her

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Speaker 1: car along with her wife in such a way as

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Speaker 1: to block the road from Ice agents whom they knew

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Speaker 1: were following them, she was also very obviously guilty of

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Speaker 1: both of those federal statutes. In fact, since it only

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Speaker 1: takes two people to form a conspiracy, even if Renee

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Speaker 1: and Rebecca Good were not part of that signal chat,

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Speaker 1: although it seems very likely that they were, and they

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Speaker 1: were very clearly there with other people, other cars in

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Speaker 1: some sort of procession stalking and impeding ice officers. If

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Speaker 1: it was just those two, they would be part of

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Speaker 1: a conspiracy. And since Alex Pretty was in the earlier event,

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Speaker 1: apparently with other people attempting to impede ice operations, then

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Speaker 1: he would also be guilty of that second statue. Now

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Speaker 1: does James Liary, the president of the Green Bay School Board,

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Speaker 1: still believe that Alex Pretty embodies the ideals of the

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Speaker 1: Green Bay School District? Maybe he does, because what a

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Speaker 1: small world this is. Do you know who James Liarly

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Speaker 1: is married to Yesterday's unhinged Liberal of the Day, doctor

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Speaker 1: Kristen Liarley, who is an obgy n in the Green

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Speaker 1: Bay area. She also identifies herself as a talk radio

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Speaker 1: host on the Civic Media Network. I still have no

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Speaker 1: actual evidence that she does a show. I have never

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Speaker 1: heard her show, I have never heard of her. I

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Speaker 1: have never seen any schedule including her on it, but

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Speaker 1: I'm just going to take her word for it that

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Speaker 1: she is also a liberal talk radio host. Now, what

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Speaker 1: she did was to tweet and delete a post on

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Speaker 1: x in which she said that she had it on

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Speaker 1: good authority. A very well placed source told the quote

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Speaker 1: unquote good doctor Liarly that I had booked up to

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Speaker 1: one hundred rooms at the Hilton Hotel in downtown Milwaukee.

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Speaker 1: This was completely and totally false, and she deleted the tweet.

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Speaker 1: This was an attempt to yes docs, interrupt, hinder, or

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Speaker 1: impede any officer on account of the performance of their

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Speaker 1: official duties. What if it was true, which I am

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Speaker 1: led to believe it was not, based on much better

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Speaker 1: sources than the ones that doctor Lyarley allegedly has that

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Speaker 1: ICE had never booked the downtown Hilton Hotel rooms. There

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Speaker 1: have been rumors for some time now that ICE was

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Speaker 1: going to turn tail and run out of Minneapolis and

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Speaker 1: instead go right down to Wisconsin, where there was going

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Speaker 1: to be a massive ICE operation here. This seems to

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Speaker 1: me to be a great deal of fear mongering. We

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Speaker 1: don't actually have a big illegal immigrant population in the

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Speaker 1: state of Wisconsin. And I have heard no evidence to

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Speaker 1: suggest that there is a large scale ICE operation or

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Speaker 1: any sort of immigration enforcement operation on par with what's

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Speaker 1: going on in Minneapolis or any other city. Yes, there

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Speaker 1: are large scale ICE operations going on, not just in Minneapolis,

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Speaker 1: but also in cities across the country. Oh, you haven't

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Speaker 1: heard about them because there isn't the large scale effort

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Speaker 1: to impede or to violently assault those officers like there

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Speaker 1: is in Minneapolis, because of the constant and I mean

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Speaker 1: constant provocation of leadership leadership of the Democratic Party not

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Speaker 1: just from the governor's mansion in Minnesota, Tim Walls, also

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Speaker 1: the mayor's office and Democrats all across the country. But

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Speaker 1: something interesting has happened over the last twenty four hours,

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Speaker 1: the exact same Tim Walls who on Sunday was comparing

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Speaker 1: ICE agents to Nazis, hunting and Frank and getting himself

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Speaker 1: a sh sharp rebuke from the Ann Frank Museum in Amsterdam.

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Speaker 1: He also completely changed his tune. Now all of a sudden,

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Speaker 1: he took a phone call or two with Hitler and

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Speaker 1: Tom Homan, the American Hitler's Gebels. What gives could it

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Speaker 1: be that Walls understands that this is a battle he

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Speaker 1: simply can't win, is it. Though a little bit deeper

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Speaker 1: than that, It is my very strong contention that the

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Speaker 1: revelation that this was in fact a very highly coordinated effort,

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Speaker 1: a conspiracy to impede or injure federal officers in direct

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Speaker 1: violation of eighteen US Code Section three seventy two, that

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Speaker 1: included not only hundreds of Minneapolis radicals like apparently Alex

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Speaker 1: Petty and very possibly Renee Good, but also top level

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Speaker 1: officials in the Walls administration, including potentially his own Lieutenant

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Speaker 1: Governor Peggy Flanagan, who, at the very outset of ICE's

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Speaker 1: announcement that it was going into Minneapolis to combat the

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Speaker 1: billions and billions and billions of dollars of Somali fraud,

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Speaker 1: told those crazies to quote put their bodies on the

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Speaker 1: line in order to stop Ice. Speaking of that fraud,

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Speaker 1: a Dan O'Donnell's show exclusive coming up in the five

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Speaker 1: o'clock hour, an education group is actually organizing assistance and

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Speaker 1: aid for the fraudulent Somali daycares. I couldn't believe the

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Speaker 1: email when I read it, and we will share it

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Speaker 1: coming up in the five o'clock hour. Coming up next,

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Speaker 1: a state representative slash gubernatorial candidate slash crazy person wants

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Speaker 1: to shut down Wisconsin's economy in the name of helping

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Speaker 1: illegal alien murderers and child rapists. It will not surprise

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Speaker 1: you at all to learn who it is that story

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Speaker 1: coming up next here on the Dan O'Donnell Show. If

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Speaker 1: I told you that one of the candidates for governor

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Speaker 1: on the Democrats side was trying to organize a boycott

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Speaker 1: to hurt Wisconsin's businesses in the name of protecting illegal

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Speaker 1: alien murderers and child rapists, which one would you think

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Speaker 1: it is? But yes, there are nine of them, and

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Speaker 1: well nine are perhaps equally likely. We'll tell you in

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Speaker 1: just a second. Just so we're clear about the type

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Speaker 1: of people who are out there protesting, and I use

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Speaker 1: that term very very loosely, the people who are out

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Speaker 1: there openly opposing and getting in the faces of ICE

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Speaker 1: agents are some the worst people that you could imagine.

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Speaker 1: Don't believe me. Listen to this voicemail left for an

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Speaker 1: ICE agent and picked up by Fox News. You're in

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Speaker 1: fastest pig. You should think kill yourself.

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Speaker 4: I hope your wife dies, I hope your mom and

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Speaker 4: dad die.

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Speaker 1: I hope everything wrong that could go in your life happens.

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Speaker 5: You should kill yourself.

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Speaker 4: You're pain disgusting. I hate you.

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Speaker 1: Everyone hates you.

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Speaker 6: You're a king murderer and all of your friends of

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Speaker 6: king murderers.

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Speaker 1: Yeah, charming fellow, that voicemail guy, the candidate for governor

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Speaker 1: who is quote standing with Minnesota in an ice out,

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Speaker 1: Justice for Alex Pretty, justice for Renee Good, nationwide shutdown

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Speaker 1: on Thursday, January thirtieth, or excuse me, on Friday, January thirtieth,

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Speaker 1: is in fact Francesca Hong, she tweeted out a few

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Speaker 1: hours ago. Last Friday, Minnesota launched a general strike that

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Speaker 1: shut down Minneapolis on January thirtieth. The movement goes nationwide,

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Speaker 1: no work, no school, no shopping. When we withhold our labor,

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Speaker 1: divest our dollars, and stand together in solidarity, the people

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Speaker 1: have real power. She then posts the poster for this

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Speaker 1: ice out, no work, no school, no shopping, nationwide shutdown,

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Speaker 1: following that out with a tweet, we demand justice for

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Speaker 1: Renee Good, Alex Pretty, and all victims of ice terror.

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Speaker 1: We reject the presence of ice and border patrol in

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Speaker 1: our communities. We condemned the violence, racism, and cruelty this

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Speaker 1: administration as normalized. Enough is enough, shut it down? Hashtag

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Speaker 1: ice out, hashtag strike so in order to protest a

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Speaker 1: federal action which she believes to be evil and awful,

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Speaker 1: she wants to hurt mom and pop businesses. Last night,

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Speaker 1: I went to a phenomenal new Korean barbecue place in

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Speaker 1: the community near where I live. I happen to be

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Speaker 1: there picking up a prescription after the show, and I thought,

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Speaker 1: you know what, the kids have all eaten. They had

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Speaker 1: final exams, at least the older ones did today for

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Speaker 1: high school. And I thought, you know, I'll stop in

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Speaker 1: so on Friday, the day when that business and it

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Speaker 1: was me and another woman in it. Granted it's a

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Speaker 1: Monday night, it's frigid, cold out, but this little business

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Speaker 1: definitely needs our support, needed my support. It needed my

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Speaker 1: nineteen dollars for the Korean beef barb. Whatever it was

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Speaker 1: that I got delicious. By the way, if you reach

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Speaker 1: out to me, I'll tell you what it is. I

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Speaker 1: just I don't like telling people where I live or

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Speaker 1: what places that I frequent. Because ladies and gentlemen, I

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Speaker 1: have gotten a few voicemails like that one that was

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Speaker 1: left for the Ice agents. So what Francesco Hang is

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Speaker 1: saying to this immigrant couple, I was actually talking to

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Speaker 1: them for a little bit, and they've been in this

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Speaker 1: country for some time. They were obviously it's a husband

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Speaker 1: and a wife. They were born in South Korea. They

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Speaker 1: came here legally to make a better life for themselves,

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Speaker 1: join up with family who is already here. They opened

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Speaker 1: a little Korean barbecue place. What Francesco Hang is saying

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Speaker 1: is we should hurt that couple their lifelong dream, their

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Speaker 1: business in order to support her pet cause. And her

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Speaker 1: pet cause, by the way, is not arresting dangerous rapists

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Speaker 1: and murderers. This is why, since I have struck out

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Speaker 1: on the cowardly pudgeball Congressman Mark Pocan getting him on

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Speaker 1: this program to debate me on immigration enforcement, I am

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Speaker 1: hereby challenging Francesca Hong, state representative in Madison, one of

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Speaker 1: my broadcast markets. She can reach more voters for her

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Speaker 1: gubernatorial run and more voters in her state legislative district

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Speaker 1: just by one appearance on my show than she ever

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Speaker 1: could with any other appearance anywhere. I will have her

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Speaker 1: on for as long as she wants. We can do

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Speaker 1: a full hour if she would like, and we are

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Speaker 1: going to debate. We can even do it on the

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Speaker 1: day of this nationwide shutdown. We are going to debate

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Speaker 1: federal law, the supremacy clause, the concept of federalism, her

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Speaker 1: support for left wing terrorism, and anything else related to

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Speaker 1: border and immigration enforcement. I'm about the easiest person in

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Speaker 1: the world to get a hold of. I look forward

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Speaker 1: to hearing from Representative Hang and or her representatives. Not

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Speaker 1: to be outdone. Former Lieutenant Governor Mandela affectionately known here

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Speaker 1: as Mandeadbeat Barnes because of his steadfast refusal to pay

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Speaker 1: property taxes or speeding tickets, posted a statement the day

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Speaker 1: of Alex Prette's killing. It's about as unhinged as you

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Speaker 1: would think. It cannot be lost on us that an

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Speaker 1: American citizen, and I see you, nurse Alex Pretty lost

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Speaker 1: his life this morning. Here I should interject, it is

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Speaker 1: very likely that Pretty in fact quit his job several

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Speaker 1: weeks ago in order to protest and to impede Ice

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Speaker 1: full time. What Ice is doing, Barnes continues, is not

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Speaker 1: law enforcement, and it makes all of us less safe.

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Speaker 1: Americans voted for lower prices and criminals off our streets.

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Speaker 1: Not whatever the hell this is. Agents operating in masks,

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Speaker 1: killing people with no accountability is pure lawlessness. They need

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Speaker 1: to be unmasked and investigated. Democratic and Republican governors alike

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Speaker 1: should come together to stand with Governor Walls and against

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Speaker 1: this violence being inflicted in all of our states. This

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Speaker 1: is wrong, and we need to use every bit of

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Speaker 1: leverage we have in this moment to stop it from continuing.

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Speaker 1: He signs it rather bizarrely, Lieutenant Governor Mandela Barnes. Now,

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Speaker 1: as anybody who knows anything about Wisconsin politics knows, Mandela

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Speaker 1: Barnes has not been Lieutenant governor of Wisconsin since early

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Speaker 1: January of twenty twenty three. It is now late January

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Speaker 1: of twenty twenty five. Why is he still referring to

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Speaker 1: himself as lieutenant rather obviously because unemployed guy Mandela Barnes

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Speaker 1: sounds a lot less impressive. At the bottom of a

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Speaker 1: press release, I am also hereby challenging Lieutenant Governor Mandela

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Speaker 1: bar I wonder how Sarah Rodriguez feels about Mande because

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Speaker 1: she is also she is also running for governor, and

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Speaker 1: she thought she had the absolute best, most heartfelt response

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Speaker 1: she said, I, by virtue of having an Hispanic last name,

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Speaker 1: I am a target of ice. She actually said that

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Speaker 1: she is about as white as it gets. She is

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Speaker 1: as white as low fat mayonnaise. That is how white

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Speaker 1: she is. She said during a Democratic candidate forum last week,

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Speaker 1: I am a target of ice. Ice could be kicking

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Speaker 1: down my door any minute now. She is also refusing

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Speaker 1: to answer any questions about her husband, who she keeps

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Speaker 1: saying is a naturalized citizen from Mexico. I have no

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Speaker 1: doubt that is true. But if it is, why would

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Speaker 1: she be worried about ice kicking down her door? Why

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Speaker 1: would she be saying I am a potential target of ice?

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Speaker 1: Baltazar Rodriguez, her husband is a naturalized citizen, right right.

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Speaker 1: One would think she'd have no problem answering this, But

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Speaker 1: since she has at this point refrained from saying anything

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Speaker 1: totally nuts, she put out a completely unhinged anti ice

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Speaker 1: proposal that was immediately slapped down by even her own governor,

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Speaker 1: Tony Evers, who said, yeah, well, that's probably not doable

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Speaker 1: because of you know, federalism and everything. I am hereby

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Speaker 1: challenging former Lieutenant Governor Mandela Barnes to also subject his

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Speaker 1: views and subject these statements to even the slightest bit

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Speaker 1: of scrutiny. Obviously, he's never going to get that in

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Speaker 1: the sycophantic Wisconsin news and political press. You are not

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Speaker 1: going to get Scott Bauer over at the Associated Press,

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Speaker 1: actually citing federal law, actually quoting the Constitution, and actually

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Speaker 1: dismantling every single thing these idiots say. Now, of course,

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Speaker 1: I'm just, as they constantly like to remind me, just

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Speaker 1: a talk show host, which means it should be easy work.

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Speaker 1: Francesco Hong has about the biggest mouth in this state.

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Speaker 1: She should have no trouble coming on my show in

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Speaker 1: a debate style format. She gets two minutes. I get

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Speaker 1: two minutes. She gets two minutes. I get two minutes.

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Speaker 1: I will afford the exact same thing to man Della Barnes. Again,

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Speaker 1: I am very easy to get a hold of. I

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Speaker 1: await their response to my challenge. And oh, by the way,

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Speaker 1: coming up next, I've got a surprising somebody who agrees

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Speaker 1: with me on immigration policy, somebody who Hang and Barnes

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Speaker 1: might admire. We'll get to that next. Rumors are swirling

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Speaker 1: of a potential ice operation launching in Wisconsin. Doctor Kristin Lyerly,

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Speaker 1: an alleged talk show host and liberal hack activist who

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Speaker 1: got absolutely shellacked in her run for Congress in the

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Speaker 1: Green Bay area last year, posted that the completely false

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Speaker 1: story that Ice had booked one hundred rooms at the

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Speaker 1: Downtown Hilton in Milwaukee. Ice has learned the hard way

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Speaker 1: in Minneapolis. They almost cannot book hotels. They have to

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Speaker 1: stay at nearby military bases or other federal installations, because

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Speaker 1: as soon as it's learned that they are at a hotel,

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Speaker 1: left wing activists are out there blowing their stupid rape

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Speaker 1: whistles and trying to keep them up or doing all

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Speaker 1: manner of things to interfere with them. I got this

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Speaker 1: text from a law enforcement source today. Amid all of

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Speaker 1: these rumors, my buddy is calling hotels all over the

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Speaker 1: Madison area to get the state slash government rate for

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Speaker 1: one night. He's headed there for a grand jury on

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Speaker 1: a child predator. They all hang up on him when

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Speaker 1: he asks for the government rate. I will admit I

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Speaker 1: was laughing, but that is terrible. It certainly is. I

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Speaker 1: actually tried this at two different hotels that I am

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Speaker 1: not going to name because I'm not looking to bust anybody.

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Speaker 1: But I said, hey, I'm looking for the law enforcement

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Speaker 1: rate for a hotel stay. And I called a couple

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Speaker 1: of hotels today and both said they could not give

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Speaker 1: me that separate rate. There was a third I called

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Speaker 1: that actually hung up on me. Now, I don't know.

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Speaker 1: I don't know since, look, folks, I'm not going to

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Speaker 1: people what's the hotel? Then what's the hotel? Well, I

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Speaker 1: don't feel comfortable giving that out because it's sort of entrapment,

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Speaker 1: Like I'm not actually a law enforcement agent. I was

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Speaker 1: just sort of trying to test this theory. Is this

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Speaker 1: actually happening? Sure enough, it is.

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Speaker 4: Now.

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Speaker 1: The special government rate is usually a lot lower, and

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Speaker 1: it usually involves multiple rooms, like, for instance, if there

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Speaker 1: is some sort of large law enforcement deployment or something

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Speaker 1: like that. And these are businesses, as my law enforcement

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Speaker 1: source pointed out at a subsequent text to me that look,

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Speaker 1: these are businesses that they have to make a living.

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Speaker 1: So he understands, but it does just sort of speak

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Speaker 1: to the animus that ICE agents face on a daily basis.

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Speaker 1: Back in twenty ten, then President Barack Obama said something

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Speaker 1: rather remarkable. To this day, I'm still not sure if

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Speaker 1: he actually meant it, or if his views have evolved

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Speaker 1: over time as the left has gotten far more insane

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Speaker 1: on the issue of immigration. But Obama actually dismissed the

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Speaker 1: idea that is now mainstream in left wing circles that

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Speaker 1: we should not have borders, we should not have any

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Speaker 1: sort of border enforcement, and that we should not have

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Speaker 1: deportations at all. He dismisses every single point that mainstream

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Speaker 1: Democrats are all making here in twenty twenty six, Or

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Speaker 1: are those in.

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Speaker 7: The immigrants rights community who have argued passionately that we

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Speaker 7: should simply provide those who are illegally with legal status,

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Speaker 7: or at least ignore the laws on the books and

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Speaker 7: put an end to deportation until we have better laws.

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Speaker 7: And often this argument is framed in moral terms. Why

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Speaker 7: should we punish people who are just trying to earn

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Speaker 7: a living. I recognize the sense of compassion that drives

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Speaker 7: this argument, but I believe such an indiscriminate approach would

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Speaker 7: be both unwise and unfair. It would suggest to those

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Speaker 7: thinking about coming here illegally that there will be no

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Speaker 7: repercussions for such a decision, and this could lead to

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Speaker 7: a surge in more illegal immigration. And it would also

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Speaker 7: ignore the millions of people around the world who are

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Speaker 7: waiting in line to come here legally. Ultimately, our nation,

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Speaker 7: like all nations, has the right and obligation to control

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Speaker 7: its borders and set laws for residency and citizenship, And

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Speaker 7: no matter how decent they are, no matter their reasons,

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Speaker 7: the eleven million who broke these laws should be held accountable.

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Speaker 1: Man, I never knew Barack Obada was such a Nazi.

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Speaker 1: I never would have guessed, never would have guessed what

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Speaker 1: we said that famous the black face of white supremacies?

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Speaker 1: Isn't that what they called Clarence Thomas at one point? Yeah?

432
00:31:02,400 --> 00:31:06,600
Speaker 1: How hateful? How awful is Barack Obama? Coming up throughout

433
00:31:06,680 --> 00:31:09,880
Speaker 1: the show. On today's edition of The Dan o'donald Show,

434
00:31:10,080 --> 00:31:13,959
Speaker 1: you think that's something? I have got half a dozen

435
00:31:14,160 --> 00:31:19,640
Speaker 1: more Democrats sounding even more right wing than Donald Trump

436
00:31:19,840 --> 00:31:24,880
Speaker 1: on the issue of illegal immigration. My, oh my, do

437
00:31:24,960 --> 00:31:29,800
Speaker 1: they sound different today? Coming up next, though, a truly chilling,

438
00:31:30,080 --> 00:31:34,400
Speaker 1: unhinged liberal of the day who is plotting to do

439
00:31:35,040 --> 00:31:40,280
Speaker 1: frankly incredibly evil things to ice agents. Trust me, you're

440
00:31:40,320 --> 00:31:42,080
Speaker 1: not gonna want to miss this. It's coming up in

441
00:31:42,160 --> 00:31:44,480
Speaker 1: just a couple of minutes here on the DAN o'donald show.

442
00:31:45,800 --> 00:31:49,400
Speaker 1: President Trump was just on the Will Caine Show at

443
00:31:49,440 --> 00:31:53,680
Speaker 1: a restaurant in Iowa. The President making the media rounds today.

444
00:31:53,760 --> 00:31:58,760
Speaker 1: He was on the Sid Rosenberg radio show on WABCWOOR

445
00:31:59,160 --> 00:32:02,680
Speaker 1: one of the big talks in New York. This morning.

446
00:32:03,000 --> 00:32:05,880
Speaker 1: The President is going to be giving a big economic

447
00:32:06,000 --> 00:32:09,200
Speaker 1: policy speech. It's also going to be part of the

448
00:32:09,200 --> 00:32:14,120
Speaker 1: administration's attempts to get people the truth about just how

449
00:32:14,600 --> 00:32:18,440
Speaker 1: well the economy has turned around, and a big reason

450
00:32:18,560 --> 00:32:23,680
Speaker 1: for that is actually immigration enforcement. We will get into

451
00:32:23,800 --> 00:32:26,880
Speaker 1: that coming up, hopefully in the four o'clock hour. We

452
00:32:26,960 --> 00:32:29,200
Speaker 1: may need to push it to the five o'clock hour

453
00:32:29,240 --> 00:32:32,400
Speaker 1: because we are going to try to dip into President

454
00:32:32,440 --> 00:32:35,480
Speaker 1: Trump's speech. We're not going to carry the entire thing.

455
00:32:35,680 --> 00:32:39,080
Speaker 1: We do have a responsibility to our advertisers to play

456
00:32:39,120 --> 00:32:42,120
Speaker 1: the commercials, and I'm fairly certain I would be tarred

457
00:32:42,160 --> 00:32:45,120
Speaker 1: and feathered by management the second I got off the

458
00:32:45,160 --> 00:32:49,600
Speaker 1: air if I didn't play the latest I Net spots.

459
00:32:50,240 --> 00:32:52,000
Speaker 1: Well what if? How about this? How about this? When

460
00:32:52,320 --> 00:32:57,080
Speaker 1: President Trump takes a breath, okay, hear me out. Hear

461
00:32:57,080 --> 00:32:59,720
Speaker 1: me out, President Trump, you know, and when there's an applause,

462
00:32:59,760 --> 00:33:03,320
Speaker 1: lab crowd is applauding. I just randomly go I at

463
00:33:03,320 --> 00:33:06,280
Speaker 1: dish web dot com and then it'll be like we're

464
00:33:06,320 --> 00:33:08,760
Speaker 1: actually playing the commercials. What do you think time out

465
00:33:08,760 --> 00:33:22,000
Speaker 1: a name the unhinged Liberal of the Day. Oh tough

466
00:33:22,120 --> 00:33:23,160
Speaker 1: is dangerous because.

467
00:33:22,960 --> 00:33:25,800
Speaker 4: He's evil America.

468
00:33:28,880 --> 00:33:31,240
Speaker 1: Now, most of the time when we do the unhinged

469
00:33:31,280 --> 00:33:35,160
Speaker 1: Liberal of the day, it's someone who's just like comically

470
00:33:35,480 --> 00:33:39,239
Speaker 1: stupid or saying something that is just so over the

471
00:33:39,240 --> 00:33:41,800
Speaker 1: top we can have some laughs about it. This one

472
00:33:42,000 --> 00:33:44,760
Speaker 1: is not one of those. Her name is Melinda. She

473
00:33:44,920 --> 00:33:51,160
Speaker 1: is a nurse at Virginia Commonwealth University Hospital, and well,

474
00:33:51,640 --> 00:33:56,000
Speaker 1: she is talking about doing some real dark stuff to

475
00:33:56,440 --> 00:33:59,600
Speaker 1: ice agents. First of all, she's calling on her fellow

476
00:33:59,680 --> 00:34:03,600
Speaker 1: nurse is to inject them with a chemical that will

477
00:34:03,640 --> 00:34:05,600
Speaker 1: temporarily paralyze them.

478
00:34:05,720 --> 00:34:10,640
Speaker 8: I thought of something good. Sabotage tactic, or at least

479
00:34:10,719 --> 00:34:14,759
Speaker 8: scare tactic. All the medical providers grab some syringes with

480
00:34:14,880 --> 00:34:20,040
Speaker 8: needles on the end, have them full of saline, sucks.

481
00:34:19,800 --> 00:34:24,360
Speaker 1: Them colin you know whatever. Whatever. That will probably be

482
00:34:24,400 --> 00:34:29,799
Speaker 1: a deterrent. Yeah, sux silid cooline or whatever she called it.

483
00:34:29,840 --> 00:34:34,640
Speaker 1: That is something that temporarily paralyzes someone. What she is

484
00:34:34,680 --> 00:34:41,239
Speaker 1: talking about is serious bodily assault. She doesn't stop there,

485
00:34:42,080 --> 00:34:46,880
Speaker 1: same video she posted to TikTok. She also suggested putting

486
00:34:47,040 --> 00:34:50,960
Speaker 1: poison ivy in water bottles and spraying it in the

487
00:34:51,080 --> 00:34:54,279
Speaker 1: faces of office er for today's resistance tip.

488
00:34:54,400 --> 00:34:59,879
Speaker 9: I vote, anybody got me uh poison ivy, poison oak

489
00:35:00,520 --> 00:35:03,920
Speaker 9: in their yard, Get some of that up with gloves, obviously,

490
00:35:04,160 --> 00:35:06,719
Speaker 9: get it in some water, like a gallon of water,

491
00:35:06,760 --> 00:35:10,960
Speaker 9: and get some get the poison ivy oak water and

492
00:35:11,040 --> 00:35:13,719
Speaker 9: I'm gonna put it into a water gun.

493
00:35:15,160 --> 00:35:17,640
Speaker 5: In for faces hands.

494
00:35:19,000 --> 00:35:24,600
Speaker 1: Yeah, as if that wasn't bad enough. She also suggested

495
00:35:24,880 --> 00:35:30,000
Speaker 1: to the lib women of the Virginia Commonwealth area to

496
00:35:30,239 --> 00:35:35,560
Speaker 1: go on tinder, get matched with ice agents, and then

497
00:35:35,680 --> 00:35:37,880
Speaker 1: put x lax in their food.

498
00:35:38,040 --> 00:35:40,600
Speaker 5: Are the single ladies where these ice guys are going

499
00:35:40,960 --> 00:35:46,120
Speaker 5: have a chance to do something, you know, not without risk,

500
00:35:46,200 --> 00:35:50,839
Speaker 5: but could help the cause for sure. Get on tender,

501
00:35:50,880 --> 00:35:54,839
Speaker 5: get on Hinge. Find these guys they're around, they're an

502
00:35:54,880 --> 00:35:56,960
Speaker 5: ice agent. Bring some X slax and put it in

503
00:35:56,960 --> 00:36:04,280
Speaker 5: their drinks. Get them sick. You know, nobody's gonna die,

504
00:36:05,760 --> 00:36:07,520
Speaker 5: just enough to incapacity them. Get them off the street

505
00:36:07,560 --> 00:36:09,480
Speaker 5: for the next day.

506
00:36:09,600 --> 00:36:12,680
Speaker 1: So she wants to poison ice agent. How there is

507
00:36:12,719 --> 00:36:18,080
Speaker 1: good news there, there is good news anybody taking her

508
00:36:18,120 --> 00:36:21,680
Speaker 1: advice to try to get on tender any any liberal

509
00:36:22,400 --> 00:36:26,640
Speaker 1: resistance women who are trying to you know, poison ice

510
00:36:26,680 --> 00:36:30,920
Speaker 1: agents on dates are far too ugly to ever get

511
00:36:31,040 --> 00:36:36,040
Speaker 1: matched up with any ice agents, or they're actually men

512
00:36:36,560 --> 00:36:40,480
Speaker 1: pretending to be women. But I'm telling you, folks, this

513
00:36:40,760 --> 00:36:45,120
Speaker 1: is this is evil. What that sort of thing is

514
00:36:45,120 --> 00:36:49,160
Speaker 1: is evil. The fact that this woman sat there and

515
00:36:49,280 --> 00:36:53,759
Speaker 1: thought of things and then broadcast it using her actual

516
00:36:53,880 --> 00:36:57,360
Speaker 1: name without a care in the world to who's that

517
00:36:57,480 --> 00:37:01,880
Speaker 1: because she thinks it's justified that you can poison an

518
00:37:02,040 --> 00:37:07,319
Speaker 1: ice agent with a chemical that will temporarily paralyze them.

519
00:37:07,400 --> 00:37:09,520
Speaker 1: And yes, it has been repeatedly found that if you

520
00:37:09,960 --> 00:37:13,040
Speaker 1: spike someone's food with x lax or something that you

521
00:37:13,120 --> 00:37:15,520
Speaker 1: think is just going to give them intestinal distress, it

522
00:37:15,560 --> 00:37:18,520
Speaker 1: can actually seriously hurt them. That can end up being

523
00:37:18,600 --> 00:37:23,600
Speaker 1: serious criminal charges. This is what we're dealing with, folks.

524
00:37:24,160 --> 00:37:28,840
Speaker 1: These are truly wicked people. Melinda rather obviously your unhinged

525
00:37:28,920 --> 00:37:32,839
Speaker 1: liberal of the day four o'clock hour starts now here

526
00:37:32,880 --> 00:37:35,680
Speaker 1: on the Dan O'donnald show. Coming up in it what

527
00:37:36,320 --> 00:37:42,760
Speaker 1: actually is behind all of the anti ice craziness. Why

528
00:37:42,920 --> 00:37:46,480
Speaker 1: is it that Democrats want as many illegal aliens in

529
00:37:46,520 --> 00:37:49,520
Speaker 1: this country as possible, including those who have committed truly

530
00:37:49,719 --> 00:37:53,879
Speaker 1: heinous crimes. Why are they fighting so hard for the

531
00:37:53,920 --> 00:37:56,880
Speaker 1: worst of the worst of the worst to stay in

532
00:37:56,920 --> 00:38:01,480
Speaker 1: American neighborhoods. Could it have something to do with brand

533
00:38:01,560 --> 00:38:06,880
Speaker 1: new census data that was just released today. Could it

534
00:38:07,000 --> 00:38:11,879
Speaker 1: have something to do with redistricting in twenty thirty one?

535
00:38:12,080 --> 00:38:15,719
Speaker 1: We will investigate. Coming up later this hour, we are

536
00:38:15,760 --> 00:38:19,719
Speaker 1: awaiting President Trump taking the stage any minute now. We're

537
00:38:19,719 --> 00:38:22,279
Speaker 1: going to try to time that with our daily Trump Date.

538
00:38:22,680 --> 00:38:25,439
Speaker 1: Every day at four o'clock, we take a look at

539
00:38:25,560 --> 00:38:29,360
Speaker 1: the day that was in Trump's Washington before the nightly

540
00:38:29,480 --> 00:38:35,719
Speaker 1: news gets its hands on it and completely biases up

541
00:38:35,960 --> 00:38:39,280
Speaker 1: what it was that happens, or just frankly doesn't cover

542
00:38:39,520 --> 00:38:41,920
Speaker 1: all of the stuff that happens before we get to

543
00:38:42,440 --> 00:38:46,479
Speaker 1: any of that though. All right, what do you want?

544
00:38:47,320 --> 00:38:50,360
Speaker 1: I'm gonna have a dealer's choice here. We unveiled a

545
00:38:50,440 --> 00:38:53,040
Speaker 1: new We unveiled a new segment on Fridays. We call

546
00:38:53,040 --> 00:38:56,520
Speaker 1: it talk Radio Roulette, where I just take random calls. Here,

547
00:38:56,560 --> 00:39:01,000
Speaker 1: we're going to do h Dealer's choice, Sino game right

548
00:39:01,600 --> 00:39:05,600
Speaker 1: dealer's choice. We can either win you a thousand bucks,

549
00:39:05,960 --> 00:39:09,799
Speaker 1: or at least try to, or we can do the

550
00:39:09,840 --> 00:39:13,600
Speaker 1: most intelligent response Dan has gotten all day, and it

551
00:39:13,719 --> 00:39:16,919
Speaker 1: is a shut in who wrote me. You can see

552
00:39:16,920 --> 00:39:20,760
Speaker 1: it if you're watching on the dan OCAM, A handwritten

553
00:39:21,760 --> 00:39:29,960
Speaker 1: loose leaf paper note about how I speak? Which one

554
00:39:29,960 --> 00:39:33,400
Speaker 1: do we want? I think I just answered my own question.

555
00:39:33,480 --> 00:39:37,600
Speaker 1: It is time now for the most intelligent response Dan

556
00:39:38,120 --> 00:39:49,000
Speaker 1: has gotten all day. This comes to us from a

557
00:39:49,040 --> 00:39:52,400
Speaker 1: man whose name is I kid you not, and I

558
00:39:52,440 --> 00:39:55,320
Speaker 1: only use his last name because it is so unique.

559
00:39:56,080 --> 00:40:06,239
Speaker 1: Norman Bleed in Rockford, Illino. He writes, again, handwritten on

560
00:40:06,400 --> 00:40:15,040
Speaker 1: loose leaf paper, January twenty first, twenty twenty six. Dear

561
00:40:15,360 --> 00:40:22,120
Speaker 1: mister O'Donnell, you mother bleeper, Let me me try to

562
00:40:22,280 --> 00:40:26,759
Speaker 1: be more specific. I've been vaguely familiar with you, your

563
00:40:26,880 --> 00:40:32,960
Speaker 1: morning show, and your style, which is to declaim rather

564
00:40:33,600 --> 00:40:38,760
Speaker 1: than to just speak. I don't know what declaim means,

565
00:40:38,760 --> 00:40:43,920
Speaker 1: but he goes on, not that I favor mutterers, mumblers

566
00:40:43,920 --> 00:40:48,200
Speaker 1: and radio announcers who speak fast and or under their breath.

567
00:40:48,840 --> 00:40:53,960
Speaker 1: You are articulate. I'll give you that, but you have

568
00:40:54,040 --> 00:40:59,759
Speaker 1: a very off putting I'm sorry, folks, I'm trying here. Hey,

569
00:40:59,800 --> 00:41:03,160
Speaker 1: it's it's tough to get through the cursor. You have

570
00:41:03,200 --> 00:41:07,520
Speaker 1: a very off putting way of speechifying with projection enough

571
00:41:07,800 --> 00:41:13,320
Speaker 1: to reach the back row without any amplification every single

572
00:41:13,520 --> 00:41:18,239
Speaker 1: thing you say. And just so where where he is

573
00:41:18,280 --> 00:41:22,960
Speaker 1: not just underlining the things that he wants to amplify,

574
00:41:22,960 --> 00:41:26,520
Speaker 1: he is also circling the words that he wants to emphasize,

575
00:41:27,080 --> 00:41:33,320
Speaker 1: like a stage actor, or like Lincoln giving his Gettysburg address,

576
00:41:33,400 --> 00:41:37,480
Speaker 1: but in this case not because he was a pompous ass,

577
00:41:38,080 --> 00:41:42,440
Speaker 1: but rather so he could be heard and understand by

578
00:41:42,480 --> 00:41:46,000
Speaker 1: as many as possible. Yes, he wrote, understand, not understood.

579
00:41:47,440 --> 00:41:51,960
Speaker 1: You put extra space between your every word and every

580
00:41:52,080 --> 00:41:58,080
Speaker 1: sentence just to be a dick. Sometimes, as a semi

581
00:41:58,160 --> 00:42:01,440
Speaker 1: regular listener to Vicky McKenna, I'd stick around for the

582
00:42:02,080 --> 00:42:07,000
Speaker 1: hour or so till reception goes bad and try to

583
00:42:07,080 --> 00:42:12,080
Speaker 1: listen to Mark Belling. What a pompous ass, Yet, yes,

584
00:42:12,760 --> 00:42:21,239
Speaker 1: I've gathered extensively successful go figure. He'd endlessly interrupt himself

585
00:42:21,600 --> 00:42:27,160
Speaker 1: from getting to his announced topic with digression after silly

586
00:42:27,600 --> 00:42:35,960
Speaker 1: after sillier digression. I always gave up. Now, lately I've

587
00:42:36,000 --> 00:42:39,120
Speaker 1: been giving you a try and a chance, with the

588
00:42:39,120 --> 00:42:43,040
Speaker 1: best of hopes and wishes for you. But today, from

589
00:42:43,120 --> 00:42:48,279
Speaker 1: three to four you plumb did me in. Talk like

590
00:42:48,400 --> 00:42:54,920
Speaker 1: a normal person, stay on topic, avoid silliness, and stop

591
00:42:55,440 --> 00:43:03,520
Speaker 1: reprising bellings stick belling sh underscored about fifteen times. Sincerely,

592
00:43:05,239 --> 00:43:11,000
Speaker 1: Norman bleed, Ladies and gentlemen. That was the most intelligent

593
00:43:11,160 --> 00:43:16,200
Speaker 1: and slightly creepiest response Dan has gotten all day. Now,

594
00:43:16,239 --> 00:43:18,920
Speaker 1: let's try to win you one thousand dollars, even Norman,

595
00:43:19,480 --> 00:43:26,560
Speaker 1: Even Norman, if I speechify too much, at least you

596
00:43:26,600 --> 00:43:31,359
Speaker 1: can win one thousand dollars nationwide. Keyword this hour, cold

597
00:43:31,360 --> 00:43:34,720
Speaker 1: hard cash contest dollar d L l A R. Dollar.

598
00:43:35,160 --> 00:43:38,000
Speaker 1: You have got until four fifty five to go to

599
00:43:38,040 --> 00:43:43,040
Speaker 1: our website and enter the kid. I'm sorry, he literally

600
00:43:43,080 --> 00:43:47,600
Speaker 1: opens it up. I'm gonna show the camera he opens

601
00:43:47,640 --> 00:43:52,920
Speaker 1: it up. Dan, dear mister O'Donnell, you mother bleeper. Lest

602
00:43:52,960 --> 00:43:56,839
Speaker 1: you think I make these up, folks, I'm telling you

603
00:43:57,320 --> 00:44:01,080
Speaker 1: I just got that. I actually went to my fehysical mailbox,

604
00:44:01,680 --> 00:44:04,239
Speaker 1: which I usually don't get a whole lot of physical mail.

605
00:44:04,360 --> 00:44:06,479
Speaker 1: Sometimes I will get I do get a good number

606
00:44:06,520 --> 00:44:08,680
Speaker 1: of Christmas cards, and I love each and every one

607
00:44:08,719 --> 00:44:12,200
Speaker 1: of them. I actually display all of the Christmas cards

608
00:44:12,239 --> 00:44:15,200
Speaker 1: that I get from listeners on my desk. I do

609
00:44:15,280 --> 00:44:18,759
Speaker 1: appreciate all of them. I don't get a whole lot

610
00:44:18,800 --> 00:44:23,680
Speaker 1: of physical mail, but by god, I'm going to check

611
00:44:23,719 --> 00:44:26,719
Speaker 1: that mailbox every day because sometimes I get an absolute

612
00:44:26,800 --> 00:44:31,760
Speaker 1: banger like normous. I literally went during the four o'clock News,

613
00:44:32,400 --> 00:44:35,160
Speaker 1: opened it up and said, my goodness, I don't care

614
00:44:35,280 --> 00:44:40,239
Speaker 1: what else I have to do. I am absolutely going

615
00:44:40,320 --> 00:44:45,520
Speaker 1: to read that email. All right, let's get you the

616
00:44:45,840 --> 00:44:50,960
Speaker 1: daily Trump dates. We are preparing to hear from President Trump.

617
00:44:50,960 --> 00:44:54,080
Speaker 1: My guess is that he goes on probably sometime in

618
00:44:54,120 --> 00:44:56,760
Speaker 1: the next fifteen minutes, but right now, let's get a preview.

619
00:44:57,680 --> 00:45:00,480
Speaker 10: We're gonna win so much you may even get tired

620
00:45:00,520 --> 00:45:00,960
Speaker 10: of winning.

621
00:45:01,040 --> 00:45:04,120
Speaker 1: Trump just keeps winning. It is a win for the administration.

622
00:45:04,280 --> 00:45:07,440
Speaker 7: It's also a big win for the United States.

623
00:45:07,480 --> 00:45:10,080
Speaker 1: We have to keep winning. We have to win more.

624
00:45:10,400 --> 00:45:11,080
Speaker 4: We're gonna win.

625
00:45:11,160 --> 00:45:14,839
Speaker 1: Moore the President today tour day Machine. Shed then went

626
00:45:14,880 --> 00:45:17,400
Speaker 1: off to a restaurant to do the Will Caine Show.

627
00:45:17,560 --> 00:45:21,360
Speaker 1: He is going to make a big economic speech and

628
00:45:21,440 --> 00:45:24,400
Speaker 1: sort of rally the base says, he kicks off a

629
00:45:24,560 --> 00:45:28,759
Speaker 1: tour designed to help boost Republican fortunes ahead of the

630
00:45:28,760 --> 00:45:33,160
Speaker 1: twenty twenty six midterms. As bizarre as it may seem,

631
00:45:33,239 --> 00:45:37,200
Speaker 1: as nuts as the Democrat Party and the left is

632
00:45:37,280 --> 00:45:40,600
Speaker 1: acting in Minnesota, they are widely expected to win back

633
00:45:40,640 --> 00:45:44,160
Speaker 1: the House, if not the United States Senate, and then yes,

634
00:45:44,280 --> 00:45:49,800
Speaker 1: it would be impeachment after impeachment after impeachment. And despite

635
00:45:49,840 --> 00:45:53,160
Speaker 1: the fact that they are now all focused on Minneapolis

636
00:45:53,280 --> 00:45:56,839
Speaker 1: and focused on Ice, the main message is going to

637
00:45:56,840 --> 00:45:59,759
Speaker 1: be affordability. So President Trump is going to tailor his

638
00:46:00,200 --> 00:46:03,359
Speaker 1: marks to combating that coming up, and I think we're

639
00:46:03,400 --> 00:46:06,640
Speaker 1: going to do it. In the five o'clock hour, how

640
00:46:06,880 --> 00:46:11,560
Speaker 1: inflation went down because of President Trump's immigration enforcement. It

641
00:46:11,600 --> 00:46:15,600
Speaker 1: may seem counterintuitive, but there is ample evidence that one

642
00:46:15,640 --> 00:46:20,400
Speaker 1: of the biggest reductions in net migration in American history

643
00:46:20,480 --> 00:46:25,319
Speaker 1: has also coincided with prices going way down because we

644
00:46:25,360 --> 00:46:28,000
Speaker 1: are no longer paying nearly as much money at the

645
00:46:28,040 --> 00:46:32,480
Speaker 1: state and government local government level, especially to care for

646
00:46:32,840 --> 00:46:35,800
Speaker 1: tons of people who should not be here now. Earlier

647
00:46:35,840 --> 00:46:39,480
Speaker 1: today on Fox and Friends, First Lady Milania Trump called

648
00:46:39,520 --> 00:46:43,360
Speaker 1: for peace and unity in Minneapolis, Hi.

649
00:46:43,760 --> 00:46:47,800
Speaker 11: I'm calling for unity. I know my husband, the President,

650
00:46:48,320 --> 00:46:52,960
Speaker 11: had a great call yesterday with the governor and the

651
00:46:53,000 --> 00:46:58,319
Speaker 11: mayor and they're working together to make it peaceful and

652
00:46:59,040 --> 00:47:04,680
Speaker 11: withoutdry I'm against the violence. So if please, if you protest,

653
00:47:05,200 --> 00:47:09,440
Speaker 11: protest in peace, and we need to unify in these times.

654
00:47:10,120 --> 00:47:13,279
Speaker 1: Meanwhile, borders, our Tom Homan has been meeting all day

655
00:47:13,320 --> 00:47:17,520
Speaker 1: with officials in Minneapolis, including the mayor, Jacob Fry. There

656
00:47:17,600 --> 00:47:20,640
Speaker 1: is no sign that immigration enforcement is going to stop

657
00:47:20,719 --> 00:47:23,440
Speaker 1: or even slow down there, but it does seem as

658
00:47:23,480 --> 00:47:28,160
Speaker 1: though the President is looking to compromise at least somewhat

659
00:47:28,680 --> 00:47:32,280
Speaker 1: with the nutsos in Minnesota if he can get access

660
00:47:32,680 --> 00:47:36,120
Speaker 1: to the jails and he can get access to information

661
00:47:36,200 --> 00:47:40,320
Speaker 1: that will lead to the arrests of more dangerous violent criminals,

662
00:47:40,360 --> 00:47:45,440
Speaker 1: as well as the tens of thousands of Somali fraudsters

663
00:47:45,800 --> 00:47:48,560
Speaker 1: who have apparently set up shop and been defrauding the

664
00:47:48,560 --> 00:47:51,919
Speaker 1: government out of billions of dollars over the past several years.

665
00:47:52,000 --> 00:47:54,960
Speaker 1: He coming up in the five o'clock hour, we are

666
00:47:55,000 --> 00:47:57,520
Speaker 1: going to get to an exclusive story. Why is an

667
00:47:57,680 --> 00:48:03,920
Speaker 1: education association here? And with Johnson pledging solidarity with fake

668
00:48:04,200 --> 00:48:08,360
Speaker 1: Somali Daycares, it's almost like they didn't get the memo

669
00:48:08,480 --> 00:48:12,680
Speaker 1: that the daycare centers aren't real. It's hilarious and sad

670
00:48:12,719 --> 00:48:15,799
Speaker 1: at the same time. Dan O'Donnell's show exclusive coming up

671
00:48:15,840 --> 00:48:19,520
Speaker 1: in about an hour. This morning, President Trump signed an

672
00:48:19,520 --> 00:48:23,279
Speaker 1: executive order that will partially federalize the rebuilding in Los

673
00:48:23,320 --> 00:48:26,680
Speaker 1: Angeles following the devastating fires there last year. As the

674
00:48:26,719 --> 00:48:29,000
Speaker 1: White House put it in a tweet today, the order

675
00:48:29,040 --> 00:48:33,360
Speaker 1: will quote overcome Californias and Los Angeles' permitting failures that

676
00:48:33,400 --> 00:48:36,920
Speaker 1: have left families, businesses, and houses of worship unable to

677
00:48:36,960 --> 00:48:39,960
Speaker 1: rebuild a year after the devastating wildfires in the Pacific

678
00:48:40,000 --> 00:48:45,480
Speaker 1: Palisades and Eton Canyon areas. Ladies and gentlemen, that is

679
00:48:45,840 --> 00:48:50,200
Speaker 1: your daily Trump date. We will again touch on the

680
00:48:50,320 --> 00:48:55,759
Speaker 1: President's speech and dip into it as soon as he begins. Now,

681
00:48:55,800 --> 00:48:59,760
Speaker 1: why is it that Democrats are fighting so hard in Minnia?

682
00:48:59,760 --> 00:49:02,759
Speaker 1: Apple is said elsewhere across the country to keep as

683
00:49:02,880 --> 00:49:07,320
Speaker 1: many illegal aliens here as possible, regardless of what heinous

684
00:49:07,360 --> 00:49:10,880
Speaker 1: acts they may have committed. It could have something to

685
00:49:10,960 --> 00:49:17,719
Speaker 1: do with this. Democrats are projected to get absolutely shellacked

686
00:49:18,760 --> 00:49:22,960
Speaker 1: in redistricting following the twenty thirty census. According to new

687
00:49:23,040 --> 00:49:29,920
Speaker 1: figures out today. The twenty twenty five census population estimates

688
00:49:30,640 --> 00:49:34,960
Speaker 1: released this morning the American Redistricting Project, which is considered

689
00:49:35,000 --> 00:49:38,320
Speaker 1: one of the nation's foremost, if not the foremost, authority

690
00:49:38,760 --> 00:49:42,319
Speaker 1: on projecting how each census is going to go. For

691
00:49:42,400 --> 00:49:45,920
Speaker 1: those who don't quite understand, every ten years we do

692
00:49:46,040 --> 00:49:48,920
Speaker 1: a census. Yes, we want to know exactly who's in

693
00:49:48,960 --> 00:49:50,880
Speaker 1: this country, how many people, and that sort of thing,

694
00:49:50,920 --> 00:49:55,240
Speaker 1: but we also do so for the purposes of reapportioning

695
00:49:55,360 --> 00:50:00,200
Speaker 1: congressional and state legislative seats. The United States Senate, I

696
00:50:00,200 --> 00:50:04,239
Speaker 1: can't believe I need to explain this to liberals deliberately

697
00:50:04,480 --> 00:50:10,320
Speaker 1: has two representatives for each state that is designed specifically

698
00:50:10,800 --> 00:50:14,480
Speaker 1: so that larger states like California can't just dominate smaller

699
00:50:14,520 --> 00:50:18,840
Speaker 1: states like Wyoming. California is able to dominate Wyoming in

700
00:50:18,920 --> 00:50:22,799
Speaker 1: the House of Representatives, the lower body of both the

701
00:50:22,880 --> 00:50:31,200
Speaker 1: Congress and state legislatures is done by apportionment. This is

702
00:50:31,719 --> 00:50:34,840
Speaker 1: what's done by population, and in fact, I guess the

703
00:50:35,360 --> 00:50:38,959
Speaker 1: state Senate is also done by apportionment, but you sort

704
00:50:38,960 --> 00:50:44,399
Speaker 1: of get the idea. The idea here is that there

705
00:50:44,480 --> 00:50:50,680
Speaker 1: is proportional representation in the lower house after the census,

706
00:50:51,080 --> 00:50:55,520
Speaker 1: there is redistricting. States can gain congressional seats and they

707
00:50:55,520 --> 00:51:01,919
Speaker 1: can lose congressional seats. In addition, state legislatures can see

708
00:51:01,960 --> 00:51:07,600
Speaker 1: their populations move and districts can be eliminated, they can

709
00:51:07,640 --> 00:51:11,520
Speaker 1: be moved, they can be redrawn. Not only is this

710
00:51:11,600 --> 00:51:15,000
Speaker 1: a big deal for representation in the House, where there

711
00:51:15,000 --> 00:51:19,759
Speaker 1: are always four hundred and thirty five seats, it is

712
00:51:19,800 --> 00:51:25,080
Speaker 1: also a huge deal in presidential elections. Every state has

713
00:51:25,160 --> 00:51:29,680
Speaker 1: representation in the Electoral College equal to its congressional representation.

714
00:51:30,120 --> 00:51:33,160
Speaker 1: That means every state has two electoral votes for each

715
00:51:33,200 --> 00:51:36,600
Speaker 1: of its senators and at least one electoral vote for

716
00:51:36,719 --> 00:51:41,839
Speaker 1: its congressional representatives. For the longest time, California has had

717
00:51:41,880 --> 00:51:45,399
Speaker 1: by far the most electoral votes and congressional representatives. It's

718
00:51:45,440 --> 00:51:50,920
Speaker 1: been in the fifties now. However, the American Redistricting Project,

719
00:51:50,920 --> 00:51:54,680
Speaker 1: taking a look at census population estimates released this morning,

720
00:51:54,960 --> 00:51:58,920
Speaker 1: says California is once again, for a second straight census,

721
00:51:58,960 --> 00:52:03,279
Speaker 1: going to lose seat. It's going to lose four. So

722
00:52:03,560 --> 00:52:11,200
Speaker 1: too are Illinois, Minnesota, New York, Oregon, Pennsylvania, Rhode Island,

723
00:52:11,760 --> 00:52:15,920
Speaker 1: and Wisconsin. What do each one of those states have

724
00:52:16,000 --> 00:52:20,239
Speaker 1: in common every single one of them, that's right. They

725
00:52:20,480 --> 00:52:26,280
Speaker 1: all have Democrat governors. Every single one is a traditionally

726
00:52:26,440 --> 00:52:30,719
Speaker 1: democratic state, or at least it's more blue leaning than red.

727
00:52:30,760 --> 00:52:33,800
Speaker 1: Wisconsin is about as purple a state as it gets,

728
00:52:33,840 --> 00:52:37,000
Speaker 1: but for the past eight years we've had a Democrat governor.

729
00:52:38,480 --> 00:52:44,319
Speaker 1: California is about as liberal as it comes. Illinois, New York, Oregon, Minnesota,

730
00:52:44,920 --> 00:52:47,160
Speaker 1: those are about the most liberal states in the Union.

731
00:52:47,480 --> 00:52:51,719
Speaker 1: They are all going to lose seats now. Illinois, Minnesota,

732
00:52:52,000 --> 00:52:56,640
Speaker 1: New York, Oregon, Pennsylvania, Rhode Island, and Wisconsin account for

733
00:52:56,719 --> 00:53:01,680
Speaker 1: seven electoral votes. When you add that to California's, that's

734
00:53:01,719 --> 00:53:05,160
Speaker 1: a big number. Eleven electoral votes would all go to

735
00:53:05,480 --> 00:53:11,560
Speaker 1: and this is critical states with Republican governors, save for

736
00:53:11,640 --> 00:53:17,480
Speaker 1: one North Carolina that nonetheless typically does elect Republican governors.

737
00:53:17,520 --> 00:53:20,880
Speaker 1: All of the states that are projected to add seats

738
00:53:21,120 --> 00:53:26,880
Speaker 1: in the upcoming census are red states. Texas, according to

739
00:53:26,920 --> 00:53:31,799
Speaker 1: this redistricting project, is projected to get four seats, So

740
00:53:31,960 --> 00:53:34,960
Speaker 1: all of California's seats are going to go to Texas,

741
00:53:35,960 --> 00:53:39,000
Speaker 1: two seats are going to go to Florida, and one

742
00:53:39,120 --> 00:53:43,399
Speaker 1: each to Arizona, Georgia, Idaho, North Carolina, and Utah. I guess.

743
00:53:43,440 --> 00:53:50,120
Speaker 1: Arizona also has a Democrat governor, but is more red.

744
00:53:50,560 --> 00:53:53,680
Speaker 1: It went red in twenty twenty four than blue and

745
00:53:53,800 --> 00:53:58,000
Speaker 1: is considered to be increasingly Republican because of a whole

746
00:53:58,040 --> 00:54:03,560
Speaker 1: lot of retirements, just like Florida and Texas. Florida and

747
00:54:03,600 --> 00:54:07,280
Speaker 1: Texas incidentally are two of the reddest states in the country,

748
00:54:07,680 --> 00:54:11,319
Speaker 1: so too is Utah. Georgia is much redder than it

749
00:54:11,480 --> 00:54:14,400
Speaker 1: was in twenty twenty where President Trump didn't just lose,

750
00:54:14,719 --> 00:54:19,640
Speaker 1: but in special elections, so too did both Republican senators.

751
00:54:21,480 --> 00:54:26,800
Speaker 1: This is a massive deal. Not only will Democrats suffer

752
00:54:26,840 --> 00:54:30,480
Speaker 1: a huge blow in the House of Representatives, where Republicans

753
00:54:30,560 --> 00:54:34,880
Speaker 1: will be favored to win the House pretty much every

754
00:54:34,960 --> 00:54:38,719
Speaker 1: election in the twenty thirties, it is going to be

755
00:54:38,880 --> 00:54:43,040
Speaker 1: much easier for Republicans to win the presidency. In the

756
00:54:43,080 --> 00:54:47,160
Speaker 1: election of twenty thirty two, the first presidential election that

757
00:54:47,239 --> 00:54:51,440
Speaker 1: will be conducted after the redistricting of twenty thirty the

758
00:54:51,520 --> 00:54:55,799
Speaker 1: Republican candidate, whether that's incumbent President J. D. Vance or

759
00:54:55,880 --> 00:55:01,200
Speaker 1: whomever the incumbent president the president, the republic candidate can

760
00:55:01,280 --> 00:55:05,640
Speaker 1: win the White House without needing to win Wisconsin, Michigan,

761
00:55:06,239 --> 00:55:12,120
Speaker 1: or Pennsylvania. In other words, they can win the White

762
00:55:12,200 --> 00:55:15,640
Speaker 1: House by winning the states all of the states that

763
00:55:15,800 --> 00:55:19,840
Speaker 1: are almost invariably going to go red barring something just

764
00:55:19,960 --> 00:55:26,799
Speaker 1: completely unexpected, plus North Carolina, which again will have an

765
00:55:26,840 --> 00:55:32,760
Speaker 1: additional electoral vote. Georgia also will have an electoral vote

766
00:55:32,800 --> 00:55:37,840
Speaker 1: in addition to the ones that already has an Arizona.

767
00:55:38,000 --> 00:55:42,200
Speaker 1: Republicans will only need to win the Sun Belt keep Florida,

768
00:55:42,320 --> 00:55:45,160
Speaker 1: and Florida has gone from the ultimate swing state to

769
00:55:45,360 --> 00:55:50,000
Speaker 1: being about as red as red gets. Texas and all

770
00:55:50,080 --> 00:55:53,439
Speaker 1: of the states that are pretty much locks for Republicans.

771
00:55:54,000 --> 00:55:58,480
Speaker 1: That's it. The map will get much much harder for

772
00:55:58,600 --> 00:56:03,200
Speaker 1: Democrats to win the presidents. Now, why exactly is that

773
00:56:03,440 --> 00:56:05,680
Speaker 1: such a big deal? We will dive into that, and

774
00:56:05,880 --> 00:56:11,080
Speaker 1: here from President Trump, who is starting his speech in Iowa.

775
00:56:11,160 --> 00:56:13,560
Speaker 1: We will get to him as soon as this commercial

776
00:56:13,600 --> 00:56:16,200
Speaker 1: break is over it we'll be back in three minutes.

777
00:56:16,239 --> 00:56:22,719
Speaker 1: Don't go anywhere now speaking in Iowa, let's go to

778
00:56:22,920 --> 00:56:26,319
Speaker 1: the President live right here on the Dan O'Donnell's show.

779
00:56:26,440 --> 00:56:27,279
Speaker 4: I think it was in the.

780
00:56:27,320 --> 00:56:30,800
Speaker 10: History a mass invasion of our border in our country

781
00:56:30,920 --> 00:56:32,839
Speaker 10: was being left at all over the where we were

782
00:56:32,880 --> 00:56:33,480
Speaker 10: being left at.

783
00:56:33,520 --> 00:56:34,240
Speaker 4: We were a joke.

784
00:56:34,920 --> 00:56:46,120
Speaker 12: If it not a joke anymore, We're not a joke.

785
00:56:46,200 --> 00:56:47,880
Speaker 12: We're not being left at anymore.

786
00:56:48,880 --> 00:56:52,239
Speaker 10: But today, just after one year of President Trump, our

787
00:56:52,280 --> 00:56:56,680
Speaker 10: economy is booming, incomes arising, investment is souring, inflation has

788
00:56:56,719 --> 00:57:06,040
Speaker 10: been defeated, our border is closed totally, and America is

789
00:57:06,120 --> 00:57:09,759
Speaker 10: respected all over the world like they've never been respected.

790
00:57:09,800 --> 00:57:10,160
Speaker 4: One year.

791
00:57:10,160 --> 00:57:12,759
Speaker 10: I thought it would take us two years. I guess

792
00:57:12,800 --> 00:57:15,080
Speaker 10: I'm following in the great path of John Deere. We

793
00:57:15,200 --> 00:57:17,680
Speaker 10: got the chairman of John Deere here chairman and seeing, Yeah,

794
00:57:17,680 --> 00:57:23,280
Speaker 10: that's pretty good. I even signed a John Deere hat

795
00:57:23,320 --> 00:57:25,280
Speaker 10: for me, said I'm going to put this in the museum.

796
00:57:25,360 --> 00:57:29,160
Speaker 10: I said, that's good. Now, it's a great company. Great company.

797
00:57:29,200 --> 00:57:31,640
Speaker 10: And you just said you're opening up two massive plants

798
00:57:31,640 --> 00:57:35,720
Speaker 10: because of tariffs. You're opening up one in North Carolina,

799
00:57:35,840 --> 00:57:41,000
Speaker 10: one someplace else, and you're expanding all over the place.

800
00:57:41,040 --> 00:57:43,120
Speaker 10: You're doing a great job. And I bought a lot

801
00:57:43,160 --> 00:57:43,800
Speaker 10: of John Deere.

802
00:57:43,880 --> 00:57:46,240
Speaker 12: So I bought a lot of John Deere.

803
00:57:46,280 --> 00:57:48,200
Speaker 10: It's a great company. It's an honor to have you.

804
00:57:48,240 --> 00:57:52,040
Speaker 10: Thank you very much. This has been the most dramatic

805
00:57:52,080 --> 00:57:54,920
Speaker 10: one year turnaround of any country in history in terms

806
00:57:54,920 --> 00:57:56,680
Speaker 10: of the speed. I really thought it would take us

807
00:57:56,680 --> 00:57:58,760
Speaker 10: two or three years to do what we're doing. You know,

808
00:57:59,000 --> 00:58:03,520
Speaker 10: the greatest, the number one country anywhere in history the world,

809
00:58:03,720 --> 00:58:07,680
Speaker 10: anywhere in history for investment coming into the country. And

810
00:58:07,960 --> 00:58:10,800
Speaker 10: it's amazing, and it's because of tariffs, and it's also

811
00:58:10,880 --> 00:58:13,760
Speaker 10: because of the fact that we had such a tremendous

812
00:58:13,840 --> 00:58:17,000
Speaker 10: November fifth, that November fifth brought spirit back to our country,

813
00:58:17,040 --> 00:58:20,160
Speaker 10: came back. You know, one thing I think, which is

814
00:58:21,000 --> 00:58:24,440
Speaker 10: it's so important, is if you remember a year and a.

815
00:58:24,400 --> 00:58:25,880
Speaker 4: Half ago, we couldn't get people.

816
00:58:25,960 --> 00:58:28,720
Speaker 10: Do a list of the military, any of them, Army, Navy,

817
00:58:28,760 --> 00:58:33,040
Speaker 10: Air Force, Marines, any of them, the Coast Guard, Space Force,

818
00:58:33,080 --> 00:58:34,040
Speaker 10: I love Space Force.

819
00:58:35,000 --> 00:58:35,800
Speaker 4: We couldn't get them.

820
00:58:35,840 --> 00:58:38,560
Speaker 10: And even police departments they couldn't get. Anybody with a

821
00:58:38,680 --> 00:58:42,080
Speaker 10: uniform it represented the country, you couldn't get them. And

822
00:58:42,200 --> 00:58:46,560
Speaker 10: today we have the single greatest recruitment numbers in the

823
00:58:46,600 --> 00:58:50,919
Speaker 10: history of our military. The police forces are loaded law

824
00:58:51,000 --> 00:58:55,920
Speaker 10: enforcement is loaded up. And everybody wants to be a policeman.

825
00:58:55,440 --> 00:58:58,680
Speaker 4: A fireman. They want to be they want to be

826
00:58:58,720 --> 00:59:00,000
Speaker 4: in the military.

827
00:59:00,440 --> 00:59:03,600
Speaker 10: I mean, we literally they couldn't get them. A year

828
00:59:03,600 --> 00:59:05,680
Speaker 10: and a half ago, nobody wanted to be in the military.

829
00:59:05,720 --> 00:59:07,920
Speaker 10: Now everybody wants to be in the military. It's an

830
00:59:07,960 --> 00:59:11,640
Speaker 10: amazing thing that's happened in an amazing tuenaround and all

831
00:59:11,680 --> 00:59:15,400
Speaker 10: because we have a president who does something very simple,

832
00:59:15,800 --> 00:59:33,440
Speaker 10: puts America first, right right, thank you. So under my leadership,

833
00:59:33,440 --> 00:59:37,440
Speaker 10: economic growth is exploding to numbers unheard of they've never

834
00:59:37,480 --> 00:59:41,280
Speaker 10: had them before in recent times and now and we're

835
00:59:41,320 --> 00:59:42,160
Speaker 10: just getting started.

836
00:59:42,200 --> 00:59:44,240
Speaker 4: You know, the great, big, beautiful bill.

837
00:59:44,600 --> 00:59:47,840
Speaker 10: Which is no tax on tips, no tax on overtime,

838
00:59:48,240 --> 00:59:51,320
Speaker 10: no tax on social security for our seniors.

839
00:59:51,360 --> 00:59:53,000
Speaker 4: Do we have any seniors in here?

840
00:59:53,640 --> 00:59:55,480
Speaker 12: Do we have any seniors in here?

841
01:00:00,640 --> 01:00:03,320
Speaker 10: One of the fake news said he did that because

842
01:00:03,360 --> 01:00:05,800
Speaker 10: he doesn't want to pay tax on his Social Security,

843
01:00:06,760 --> 01:00:10,360
Speaker 10: don't you That's what I never thought of. These are

844
01:00:10,400 --> 01:00:15,000
Speaker 10: sick people, despite the fact that we've just truly started

845
01:00:15,120 --> 01:00:18,160
Speaker 10: just kicking in because we inherited such a horrible situation

846
01:00:18,320 --> 01:00:21,160
Speaker 10: with all of the high prices and the inflation and

847
01:00:21,200 --> 01:00:24,240
Speaker 10: everything else. And by the way, the open borders, we

848
01:00:24,320 --> 01:00:28,720
Speaker 10: had millions and everything you see today wouldn't happen they

849
01:00:28,760 --> 01:00:31,040
Speaker 10: opened the borders, But we had a five point four

850
01:00:31,120 --> 01:00:34,320
Speaker 10: percent and since the election, the sock market has said

851
01:00:34,440 --> 01:00:38,640
Speaker 10: fifty two all time highs, adding nine trillion dollars in

852
01:00:38,760 --> 01:00:43,000
Speaker 10: value to your savings retirement accounts had four oh one case,

853
01:00:44,680 --> 01:00:49,520
Speaker 10: so four oh one k people, I mean, of which

854
01:00:49,560 --> 01:00:50,480
Speaker 10: you got a lot of people.

855
01:00:50,560 --> 01:00:52,600
Speaker 4: Does anybody have a four oh one k in the audio?

856
01:00:53,760 --> 01:00:56,520
Speaker 10: A lot of people? So you're setting records, right, the

857
01:00:56,600 --> 01:00:57,720
Speaker 10: highest it's ever been.

858
01:00:58,400 --> 01:01:00,400
Speaker 4: They say this, you know the good market.

859
01:01:00,480 --> 01:01:03,160
Speaker 10: They say, well, this stock market they can't get They

860
01:01:03,200 --> 01:01:06,240
Speaker 10: just try so hard. This stock market doesn't affect the

861
01:01:06,320 --> 01:01:09,240
Speaker 10: middle class. I says, what about a four to oh

862
01:01:09,240 --> 01:01:11,360
Speaker 10: one k? What about all the other things? What about

863
01:01:11,360 --> 01:01:14,640
Speaker 10: the fact that they're making more salary than they've ever made,

864
01:01:15,200 --> 01:01:16,800
Speaker 10: But the stock market's the highest.

865
01:01:16,800 --> 01:01:21,560
Speaker 4: How is John dear stock doing great? All time high?

866
01:01:20,120 --> 01:01:21,960
Speaker 4: It's everyone.

867
01:01:22,040 --> 01:01:23,400
Speaker 10: I don't have to even ask the question.

868
01:01:23,640 --> 01:01:25,200
Speaker 4: I mean, I made a lot of people rich.

869
01:01:26,080 --> 01:01:27,240
Speaker 10: Me I just keep working.

870
01:01:28,800 --> 01:01:30,640
Speaker 4: I made a lot of people rich. I've made a

871
01:01:30,640 --> 01:01:31,680
Speaker 4: lot of people rich, and I.

872
01:01:31,640 --> 01:01:34,280
Speaker 10: Don't even like I got a lot of people that

873
01:01:34,320 --> 01:01:37,560
Speaker 10: I don't like at all, And I'm I've doubled their network.

874
01:01:38,720 --> 01:01:41,200
Speaker 10: But after four years in which Biden got less than

875
01:01:41,280 --> 01:01:43,080
Speaker 10: one trillion dollars in new investment.

876
01:01:43,160 --> 01:01:43,600
Speaker 4: Think of it.

877
01:01:43,880 --> 01:01:47,640
Speaker 10: He took in substantially less in four years than one trillion.

878
01:01:48,200 --> 01:01:49,720
Speaker 4: We secured commitments for.

879
01:01:49,840 --> 01:01:54,280
Speaker 10: A record breaking plus eighteen trillion. So in one year

880
01:01:55,160 --> 01:01:57,760
Speaker 10: we did over eighteen trillion and he.

881
01:01:57,760 --> 01:01:59,120
Speaker 4: Did less than one trillion.

882
01:02:03,600 --> 01:02:06,960
Speaker 10: Just over one year ago, under sleepy Joe Biden and

883
01:02:07,000 --> 01:02:10,040
Speaker 10: the radical left lunatics, we were.

884
01:02:09,960 --> 01:02:11,880
Speaker 4: A dead country. We were a dead country.

885
01:02:11,920 --> 01:02:13,520
Speaker 10: I tell you, one year ago, a little more than

886
01:02:13,560 --> 01:02:15,440
Speaker 10: one year ago, we were a dead country. The King

887
01:02:15,520 --> 01:02:17,800
Speaker 10: of Saudi Arabia told me that you've heard me say it.

888
01:02:18,120 --> 01:02:20,840
Speaker 10: She said it better than anybody else. He said, you know,

889
01:02:20,880 --> 01:02:22,560
Speaker 10: I can't believe it. A couple of months ago, a

890
01:02:22,560 --> 01:02:25,320
Speaker 10: few months ago, you said a year ago you were

891
01:02:25,320 --> 01:02:28,120
Speaker 10: a dead country. Now you're the hottest country anywhere in

892
01:02:28,120 --> 01:02:32,360
Speaker 10: the world. Like he said, I can't believe it. And

893
01:02:32,480 --> 01:02:36,000
Speaker 10: today I please show announce one more historic investment. The

894
01:02:36,040 --> 01:02:40,120
Speaker 10: great American company that we just talked about is doing

895
01:02:40,200 --> 01:02:40,720
Speaker 10: so much.

896
01:02:41,080 --> 01:02:43,560
Speaker 4: I have to I have to give it. Really. I

897
01:02:43,680 --> 01:02:46,320
Speaker 4: buy so much equipment from so many of.

898
01:02:46,280 --> 01:02:47,640
Speaker 10: The people in the You know, we have a lot

899
01:02:47,680 --> 01:02:49,480
Speaker 10: of very successful companies in here.

900
01:02:49,960 --> 01:02:51,160
Speaker 4: But I know it's a very.

901
01:02:52,520 --> 01:02:56,520
Speaker 10: Special deal because John Deere is doing seventy million dollars

902
01:02:56,600 --> 01:02:59,680
Speaker 10: in factory in North Carolina's brand new, the best in

903
01:02:59,720 --> 01:03:03,600
Speaker 10: the world. And I think it's going to pay off very,

904
01:03:03,720 --> 01:03:06,560
Speaker 10: very big. And if it doesn't, I have nothing to

905
01:03:06,600 --> 01:03:09,360
Speaker 10: do with it. But if it does, I'm going to

906
01:03:09,400 --> 01:03:14,040
Speaker 10: take I'm going to take full credit. But what it

907
01:03:14,120 --> 01:03:17,000
Speaker 10: is is an excavator factory, as I understand it, and

908
01:03:17,040 --> 01:03:21,720
Speaker 10: it's going to be the only excavator factory. In other words, excavators.

909
01:03:21,720 --> 01:03:24,480
Speaker 10: We all I love those excavators, believe it, and I.

910
01:03:24,480 --> 01:03:26,720
Speaker 4: Know a lot about them. We don't make them here.

911
01:03:27,000 --> 01:03:30,720
Speaker 10: This is going to be the only excavator entirely made

912
01:03:30,800 --> 01:03:32,800
Speaker 10: in the United States of America.

913
01:03:33,160 --> 01:03:36,120
Speaker 4: So that's that's great. I love it.

914
01:03:38,600 --> 01:03:39,160
Speaker 1: I love it.

915
01:03:40,760 --> 01:03:42,400
Speaker 4: That's great. And it'll all come.

916
01:03:42,480 --> 01:03:44,480
Speaker 10: I hate to tell you, they're all going to be

917
01:03:44,480 --> 01:03:47,280
Speaker 10: coming to You can have some competition, but you'll be

918
01:03:47,320 --> 01:03:50,920
Speaker 10: ahead of them. If congratual Democrats had their way this year,

919
01:03:50,960 --> 01:03:55,400
Speaker 10: would right now be facing the largest tax like so they.

920
01:03:55,280 --> 01:03:58,640
Speaker 4: Wanted to give you. This is what I was running against, the.

921
01:03:58,720 --> 01:04:01,120
Speaker 10: Largest taxiken the history of our country.

922
01:04:01,520 --> 01:04:02,640
Speaker 4: I wanted to give you.

923
01:04:02,560 --> 01:04:06,560
Speaker 10: The largest tax cut in the history of our country.

924
01:04:09,560 --> 01:04:12,560
Speaker 12: And if they won, this country would be cratering right now.

925
01:04:12,800 --> 01:04:13,720
Speaker 4: It would be cretering.

926
01:04:13,800 --> 01:04:17,720
Speaker 10: So I've cut a record number of job killing regulations.

927
01:04:17,720 --> 01:04:20,200
Speaker 10: The reason our job numbers are so good. And remember this,

928
01:04:21,200 --> 01:04:23,560
Speaker 10: I've cut hundreds of.

929
01:04:23,560 --> 01:04:25,320
Speaker 4: Thousands of federal jobs.

930
01:04:25,560 --> 01:04:28,520
Speaker 10: Now if I didn't do that, our numbers would be

931
01:04:28,560 --> 01:04:31,840
Speaker 10: even more through the roof, or I could get them.

932
01:04:31,880 --> 01:04:34,040
Speaker 10: You know what they do in order to have decent numbers.

933
01:04:34,080 --> 01:04:36,480
Speaker 10: They hire a million people. You hire a million people,

934
01:04:36,520 --> 01:04:38,040
Speaker 10: all of a sudden, you're down to three and a

935
01:04:38,080 --> 01:04:38,640
Speaker 10: half percent.

936
01:04:39,080 --> 01:04:42,120
Speaker 4: We don't do that. We get rid of that job.

937
01:04:42,560 --> 01:04:44,720
Speaker 10: Well, you have ten jobs for every You have ten

938
01:04:44,760 --> 01:04:45,760
Speaker 10: people for every job.

939
01:04:46,400 --> 01:04:50,040
Speaker 4: And they are all now. And they hated me. They

940
01:04:50,080 --> 01:04:51,640
Speaker 4: hated me. Now they love me. You know what.

941
01:04:52,240 --> 01:04:55,200
Speaker 10: They all got jobs in the private sector, making twice

942
01:04:55,240 --> 01:04:57,560
Speaker 10: as much money as they made from the federal government,

943
01:04:57,600 --> 01:05:00,480
Speaker 10: sometimes much more than the So.

944
01:05:00,520 --> 01:05:02,720
Speaker 12: A year ago, they hated me, and now they loved me.

945
01:05:04,080 --> 01:05:07,280
Speaker 1: But I'm still not sure about that. That is President

946
01:05:07,320 --> 01:05:11,160
Speaker 1: Trump talking in Iowa. He's sort of reciting some of

947
01:05:11,200 --> 01:05:14,520
Speaker 1: the greatest hits here. And folks, we do oh, looks

948
01:05:14,520 --> 01:05:18,880
Speaker 1: like we just did. Fox just lose the feed, all right?

949
01:05:18,920 --> 01:05:20,920
Speaker 1: The Fox says the feedback. I'll tell you what, this

950
01:05:21,040 --> 01:05:24,360
Speaker 1: is a good place for us to break folks. Folks. Unfortunately,

951
01:05:24,400 --> 01:05:28,400
Speaker 1: we do still have to play the commercials. Don't worry,

952
01:05:28,400 --> 01:05:31,840
Speaker 1: don't worry. We'll get back to it. Also, why is

953
01:05:31,920 --> 01:05:36,320
Speaker 1: it that Democrats are so concerned about this census, so

954
01:05:36,480 --> 01:05:40,160
Speaker 1: much so that they imported nearly ten million new people

955
01:05:40,200 --> 01:05:43,120
Speaker 1: into this country to try to combat its effects. We'll

956
01:05:43,120 --> 01:05:45,240
Speaker 1: get to that and more when The Dan o'donald Show

957
01:05:45,240 --> 01:05:49,520
Speaker 1: returns in just a second. Welcome back to the Dan

958
01:05:49,560 --> 01:05:53,400
Speaker 1: o'donald Show. Fox News has dumped away from President Trump's speech.

959
01:05:53,520 --> 01:05:56,240
Speaker 1: It's pretty much a campaign speech. They were saying there

960
01:05:56,280 --> 01:05:58,560
Speaker 1: was going to be some serious economic policy in there.

961
01:05:58,600 --> 01:06:01,880
Speaker 1: I guess the announcement that John Deere was investing seventy

962
01:06:01,880 --> 01:06:06,439
Speaker 1: million dollars in a new American plant bringing production back

963
01:06:06,480 --> 01:06:10,880
Speaker 1: home was the policy. But it's primarily him just rallying

964
01:06:10,920 --> 01:06:15,040
Speaker 1: the base about the economy ahead of twenty twenty six.

965
01:06:15,080 --> 01:06:17,880
Speaker 1: Here in twenty twenty six, it's actually kind of remarkable

966
01:06:18,320 --> 01:06:22,520
Speaker 1: how different Democrats sound than they did just a couple

967
01:06:22,520 --> 01:06:24,640
Speaker 1: of years ago. And when I say just a couple

968
01:06:24,640 --> 01:06:29,160
Speaker 1: of years ago, I mean like eleven years ago. Hillary Clinton,

969
01:06:29,200 --> 01:06:33,440
Speaker 1: while running for president in twenty fifteen, was asked on

970
01:06:33,720 --> 01:06:39,920
Speaker 1: CNN about sanctuary cities just like Minneapolis, and sounded a

971
01:06:40,040 --> 01:06:43,600
Speaker 1: whole lot different than Democrats do today.

972
01:06:44,160 --> 01:06:48,320
Speaker 13: Last week, an undocumented immigrant who had been deported five

973
01:06:48,400 --> 01:06:52,480
Speaker 13: times killed a thirty two year old woman, Kate Steinley,

974
01:06:52,480 --> 01:06:55,960
Speaker 13: and San Francisco sanctuary city where local law enforcement does

975
01:06:56,000 --> 01:07:00,360
Speaker 13: not enforce federal immigration laws. When you last ran for president,

976
01:07:00,440 --> 01:07:04,400
Speaker 13: you supported sanctuary cities. In light of this terrible incident,

977
01:07:04,680 --> 01:07:07,360
Speaker 13: does that change anything about your view on this?

978
01:07:07,880 --> 01:07:11,600
Speaker 14: Well, what should be done is any city should listen

979
01:07:11,680 --> 01:07:14,680
Speaker 14: to the Department of Homeland Security, which, as I understand,

980
01:07:14,720 --> 01:07:18,120
Speaker 14: it urged them to deport this man again after he

981
01:07:18,200 --> 01:07:22,360
Speaker 14: got out of prison another time. Here's a case where

982
01:07:22,400 --> 01:07:25,360
Speaker 14: we've deported, we've deported, we've deported, he ends back up

983
01:07:26,120 --> 01:07:30,160
Speaker 14: in our country, and I think the city made a mistake.

984
01:07:30,280 --> 01:07:33,800
Speaker 14: The city made a mistake not to deport someone that

985
01:07:33,840 --> 01:07:36,720
Speaker 14: the federal government strongly felt should be deported. So I

986
01:07:36,760 --> 01:07:43,920
Speaker 14: have absolutely no support for a city that ignores the

987
01:07:43,960 --> 01:07:47,760
Speaker 14: strong evidence that should be acted on now.

988
01:07:47,800 --> 01:07:50,680
Speaker 1: Of course, Hillary Clinton has taken an x to post

989
01:07:50,720 --> 01:07:56,000
Speaker 1: a Maudlin voice of support for Minneapolis the exact same

990
01:07:56,040 --> 01:08:00,080
Speaker 1: sort of city that is refusing to cooperate with federal agents,

991
01:08:00,120 --> 01:08:03,680
Speaker 1: with the federal government who strongly believes that a certain

992
01:08:04,200 --> 01:08:08,200
Speaker 1: set of people, I mean President Trump, the Press secretary

993
01:08:08,200 --> 01:08:11,800
Speaker 1: of Caroline Levett. They're holding up their mugshots. For goodness sakes.

994
01:08:12,560 --> 01:08:16,639
Speaker 1: This wasn't thirty years ago. This was eleven years ago.

995
01:08:17,479 --> 01:08:21,000
Speaker 1: Every single Democrat was at least pretending to be tough

996
01:08:21,040 --> 01:08:23,320
Speaker 1: on immigration. We'll have some more of those sound bites.

997
01:08:23,360 --> 01:08:28,240
Speaker 1: Chuck Schumer, Nancy Pelosi, Hillary's husband Bill, all of them

998
01:08:28,280 --> 01:08:32,240
Speaker 1: now Democrats, though, I think realized that there is an

999
01:08:32,240 --> 01:08:36,240
Speaker 1: impending doom coming in the twenty thirty census. We just

1000
01:08:36,320 --> 01:08:40,000
Speaker 1: had population estimates for the year twenty twenty five by

1001
01:08:40,040 --> 01:08:44,320
Speaker 1: the Census Bureau released this morning. As a result of that,

1002
01:08:44,360 --> 01:08:49,240
Speaker 1: the American Redistricting Project now projects that Texas and Florida

1003
01:08:49,720 --> 01:08:53,599
Speaker 1: are projected to gain six seats and six electoral votes,

1004
01:08:53,600 --> 01:08:57,719
Speaker 1: four for Texas, two for Florida, and one each for Arizona, Georgia, Idaho,

1005
01:08:58,200 --> 01:09:02,839
Speaker 1: North Carolina, and all of those are Republican leaning states.

1006
01:09:02,840 --> 01:09:07,080
Speaker 1: In Texas and Florida are arguably the two most Republican

1007
01:09:07,120 --> 01:09:10,880
Speaker 1: states in the entire country. Where are those seats. Where

1008
01:09:10,880 --> 01:09:13,519
Speaker 1: are those electoral votes coming from. They're being taken away,

1009
01:09:13,680 --> 01:09:19,280
Speaker 1: four from California and one each from Illinois, Minnesota, New York, Oregon, Pennsylvania,

1010
01:09:19,360 --> 01:09:26,240
Speaker 1: Rhode Island, and Wisconsin. Democrats understand that they need people

1011
01:09:26,520 --> 01:09:30,240
Speaker 1: in their states. The problem their policies are so terrible

1012
01:09:30,640 --> 01:09:33,880
Speaker 1: that people have been voting with their feet for years

1013
01:09:33,920 --> 01:09:38,400
Speaker 1: now and fleeing Democrat states for the warmer pastors and

1014
01:09:38,439 --> 01:09:42,960
Speaker 1: greener pastures of Republican states. It's no coincidence that every

1015
01:09:43,120 --> 01:09:47,240
Speaker 1: single one of the states that's losing a congressional representative

1016
01:09:47,320 --> 01:09:51,200
Speaker 1: and losing an electoral vote in twenty thirty is governed

1017
01:09:51,240 --> 01:09:54,439
Speaker 1: by a Democrat. And the state that's losing the most,

1018
01:09:54,560 --> 01:09:58,360
Speaker 1: meaning it's losing the most people, is California. How have

1019
01:09:58,439 --> 01:10:01,280
Speaker 1: they been trying to combat that by by literally importing

1020
01:10:01,360 --> 01:10:07,040
Speaker 1: people from the Third World. Illegal aliens are counted for

1021
01:10:07,160 --> 01:10:11,559
Speaker 1: the purposes of the census. Not only that, even when

1022
01:10:11,560 --> 01:10:14,599
Speaker 1: they don't actually answer the door for a census taker,

1023
01:10:14,640 --> 01:10:18,240
Speaker 1: there are reasonable estimates. There are actually calculations made to

1024
01:10:18,320 --> 01:10:21,360
Speaker 1: try to guess the number of illegals who are in

1025
01:10:21,400 --> 01:10:24,960
Speaker 1: a given state, So it behooves Democrats even if a

1026
01:10:25,120 --> 01:10:28,479
Speaker 1: single illegal even if not one of them ever casts

1027
01:10:28,600 --> 01:10:32,040
Speaker 1: a ballot in any election. We know that they actually do,

1028
01:10:32,400 --> 01:10:34,799
Speaker 1: but let's assume for the sake of arguments that they don't.

1029
01:10:35,160 --> 01:10:40,800
Speaker 1: Democrats still gain by virtue of having massive populations of illegals.

1030
01:10:40,840 --> 01:10:44,879
Speaker 1: Here's the thing, though it is very obvious, the framers

1031
01:10:44,920 --> 01:10:51,120
Speaker 1: of the Constitution never intended for non citizens to vote.

1032
01:10:51,160 --> 01:10:55,920
Speaker 1: The apportionment clause is Article one, Section two, Clause three

1033
01:10:56,520 --> 01:11:02,040
Speaker 1: of the Constitution. It reads, and I quote, Representatives and

1034
01:11:02,240 --> 01:11:07,320
Speaker 1: direct taxes shall be apportioned among the several states which

1035
01:11:07,360 --> 01:11:11,599
Speaker 1: may be included within this Union, according to their respective numbers,

1036
01:11:12,240 --> 01:11:16,280
Speaker 1: which shall be determined by adding to the whole number

1037
01:11:16,360 --> 01:11:20,240
Speaker 1: of free persons, including those bound to service for a

1038
01:11:20,320 --> 01:11:25,320
Speaker 1: term of years, and excluding Indians not taxed, three fifths

1039
01:11:25,320 --> 01:11:29,600
Speaker 1: of all other persons. That's known as the three fifths compromise,

1040
01:11:30,120 --> 01:11:33,120
Speaker 1: where slaves were counted as three fifths of a person.

1041
01:11:33,439 --> 01:11:39,320
Speaker 1: There's a clear intent both there and in the Fourteenth Amendments,

1042
01:11:39,360 --> 01:11:44,720
Speaker 1: Section two apportionment of representation clause in the wake of

1043
01:11:44,760 --> 01:11:48,439
Speaker 1: the Civil War, there was a clear intent to count

1044
01:11:48,680 --> 01:11:52,360
Speaker 1: only those persons who are considered to be citizens of

1045
01:11:52,400 --> 01:11:56,599
Speaker 1: the United States. Indians not taxed they are living in

1046
01:11:56,760 --> 01:12:01,559
Speaker 1: the state, right, They are not saying American taxes. They

1047
01:12:01,560 --> 01:12:06,240
Speaker 1: are not considered to be people for the purposes of

1048
01:12:06,680 --> 01:12:09,559
Speaker 1: census taking. They are not considered to be I shouldn't

1049
01:12:09,560 --> 01:12:12,120
Speaker 1: say they're not considered to be people. Obviously they're people,

1050
01:12:12,160 --> 01:12:15,360
Speaker 1: but they're not considered to be citizens for the purposes

1051
01:12:15,400 --> 01:12:18,559
Speaker 1: of congressional apportionment. The fact that they were willing to

1052
01:12:18,920 --> 01:12:22,280
Speaker 1: monkey with the percentage of slaves that they were going

1053
01:12:22,680 --> 01:12:25,400
Speaker 1: to count, and by the way, that is the most

1054
01:12:26,160 --> 01:12:31,400
Speaker 1: misinterpreted and misunderstood portion of the Constitution was not racist.

1055
01:12:31,920 --> 01:12:34,640
Speaker 1: In fact, it was designed to combat the power of

1056
01:12:34,680 --> 01:12:39,680
Speaker 1: the slaveholding Democrat states and ultimately get rid of slavery,

1057
01:12:39,760 --> 01:12:43,800
Speaker 1: because if you counted slaves as full people, the slaveholding

1058
01:12:43,880 --> 01:12:49,320
Speaker 1: South would just dominate the abolitionist North. In the fourteenth

1059
01:12:49,360 --> 01:12:55,840
Speaker 1: Amendment two, you are also hearing language that indicates that

1060
01:12:55,920 --> 01:13:01,160
Speaker 1: the framers of that amendment only indicated and ownly intended

1061
01:13:02,000 --> 01:13:06,760
Speaker 1: those who are actually citizens of the state of the

1062
01:13:07,120 --> 01:13:14,720
Speaker 1: country to be counted. Okay, what we are hearing in

1063
01:13:14,800 --> 01:13:18,040
Speaker 1: this is but when the right to vote at any

1064
01:13:18,040 --> 01:13:20,320
Speaker 1: election for the choice of electors for president and vice

1065
01:13:20,320 --> 01:13:22,680
Speaker 1: by blah blah blah, blah blah, bah bah bah bah

1066
01:13:23,080 --> 01:13:25,639
Speaker 1: is denied to any of the male inhabitants of such

1067
01:13:25,680 --> 01:13:28,120
Speaker 1: state being twenty one years of age and citizens of

1068
01:13:28,160 --> 01:13:30,479
Speaker 1: the United States, or in any way abridged except for

1069
01:13:30,520 --> 01:13:34,320
Speaker 1: participation in rebellion or other crime. The basis of representation

1070
01:13:34,439 --> 01:13:39,080
Speaker 1: therein shall be reduced to the proportion which the number

1071
01:13:39,080 --> 01:13:42,200
Speaker 1: of such male citizens shall bear to the whole number

1072
01:13:42,200 --> 01:13:47,400
Speaker 1: of male citizens twenty one years of age in such state. Again,

1073
01:13:48,360 --> 01:13:54,720
Speaker 1: proportionality and citizenship and apportionment. Census taking for the purposes

1074
01:13:54,760 --> 01:14:00,240
Speaker 1: of apportionment is malleable. The intent there is Back then

1075
01:14:00,560 --> 01:14:03,040
Speaker 1: it was only male citizens twenty one years and old

1076
01:14:03,040 --> 01:14:05,920
Speaker 1: are those who are eligible to vote? Again, you're hearing

1077
01:14:05,960 --> 01:14:10,000
Speaker 1: for the purposes of apportionment. Well, maybe if the right

1078
01:14:10,040 --> 01:14:12,880
Speaker 1: to vote is being abridged, we can change this. The

1079
01:14:13,040 --> 01:14:17,480
Speaker 1: idea is always and has always been, that you count citizens.

1080
01:14:17,520 --> 01:14:17,720
Speaker 4: Now.

1081
01:14:18,040 --> 01:14:25,080
Speaker 1: The latest court case in twenty sixteen, even while the Abbot,

1082
01:14:25,120 --> 01:14:29,240
Speaker 1: the Supreme Court held that states may use total population,

1083
01:14:29,320 --> 01:14:34,160
Speaker 1: that is, all people legal and illegal when apportioning state

1084
01:14:34,680 --> 01:14:40,000
Speaker 1: legislative districts, and doing so doesn't violate the equal protection clause.

1085
01:14:40,320 --> 01:14:44,400
Speaker 1: But the court deliberately left open whether a state could

1086
01:14:44,880 --> 01:14:49,320
Speaker 1: choose to base apportionment on any other measures, like people

1087
01:14:49,360 --> 01:14:53,639
Speaker 1: who are of voting age, citizens, registered voters. The Court

1088
01:14:53,800 --> 01:14:59,760
Speaker 1: explicitly declined to resolve whether those alternatives would be constitutionally permissible.

1089
01:15:00,120 --> 01:15:04,320
Speaker 1: In fact, it is my very strong suspicion that we

1090
01:15:04,520 --> 01:15:10,120
Speaker 1: can actually change congressional apportionment to citizenship, that you are

1091
01:15:10,200 --> 01:15:14,720
Speaker 1: only counting American citizens, which President Trump wanted to do,

1092
01:15:14,800 --> 01:15:17,760
Speaker 1: and in fact, it is very likely he could by

1093
01:15:17,840 --> 01:15:20,960
Speaker 1: executive order, simply order Now this would of course be

1094
01:15:21,120 --> 01:15:23,560
Speaker 1: the next president. It would not be President Trump, it

1095
01:15:23,600 --> 01:15:27,720
Speaker 1: would have to be President jd. Vance could explicitly order,

1096
01:15:27,920 --> 01:15:30,920
Speaker 1: just by executive fiat, say the Census Bureau, you are

1097
01:15:30,960 --> 01:15:34,080
Speaker 1: only to count American citizens. Have it go all the

1098
01:15:34,080 --> 01:15:36,080
Speaker 1: way up to the Supreme Court, and the Supreme Court

1099
01:15:36,280 --> 01:15:39,720
Speaker 1: could very well find that the language of both the

1100
01:15:39,760 --> 01:15:44,320
Speaker 1: apportionment's clause in the Constitution and the fourteenth Amendment both

1101
01:15:44,479 --> 01:15:50,280
Speaker 1: allow for the possibility of citizen only congressional apportionment. You're

1102
01:15:50,320 --> 01:15:55,519
Speaker 1: listening to the Dan o'donald Show Welcome Back. It is

1103
01:15:55,560 --> 01:15:59,519
Speaker 1: the Dan o'donalds Show, final hour of the program, and

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Speaker 1: that means one last chance today to win a thousand

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Speaker 1: bucks in the cold Heart Cash contest. Be like Kathy

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Speaker 1: from Eagle. She was listening to us in the five

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Speaker 1: o'clock Hour yesterday. She won one thousand dollars because she

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Speaker 1: entered the keyword. Her entry was picked at random. She's

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Speaker 1: now one thousand dollars richer. We are very happy for Kathy,

1110
01:16:21,360 --> 01:16:24,479
Speaker 1: and we'd be even happier if we made it back

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01:16:24,520 --> 01:16:27,719
Speaker 1: to back winners in the five o'clock hour. Your word

1112
01:16:27,920 --> 01:16:33,040
Speaker 1: this Hour bonus b O n Us bonus. You have

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Speaker 1: website and enter the keyword bonus to enter the contest

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Speaker 1: for this hour. If your entry is picked at random,

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Speaker 1: a nice little thousand dollars bonus is in your pocket.

1117
01:16:47,560 --> 01:16:50,000
Speaker 1: If you would like to join the Dan o'donald Show

1118
01:16:50,080 --> 01:16:53,479
Speaker 1: four one, four seven, nine to nine eleven thirty is

1119
01:16:53,640 --> 01:16:56,479
Speaker 1: or at vet nos dot com, talkin text line, email

1120
01:16:56,520 --> 01:16:59,720
Speaker 1: me do od at iHeartMedia dot com, at Dan o'donald's

1121
01:16:59,720 --> 01:17:04,040
Speaker 1: show on x at Dan o'donald's show on Facebook, at

1122
01:17:04,120 --> 01:17:07,960
Speaker 1: Dan o'donald's show on Instagram, on YouTube, pretty much anywhere

1123
01:17:08,080 --> 01:17:12,400
Speaker 1: and everywhere. We are continuing to have some audio issues

1124
01:17:12,800 --> 01:17:15,920
Speaker 1: as well as now some video issues with the stream,

1125
01:17:16,040 --> 01:17:18,799
Speaker 1: so it is very possible we're going to end it early.

1126
01:17:18,840 --> 01:17:23,160
Speaker 1: I think I've got to do a little TLC on

1127
01:17:23,240 --> 01:17:27,320
Speaker 1: the danocam. But if you cannot hear or see us,

1128
01:17:27,520 --> 01:17:30,880
Speaker 1: just be sure to follow the show on iHeart Radio

1129
01:17:31,160 --> 01:17:34,280
Speaker 1: or wherever you listen to podcasts. Just download the Dan

1130
01:17:34,320 --> 01:17:37,240
Speaker 1: o'donald Show, sign up for automatic downloads, and actually add

1131
01:17:37,320 --> 01:17:41,600
Speaker 1: us to the what do you have? What do they

1132
01:17:41,640 --> 01:17:45,600
Speaker 1: call it? A dashboard presets? Hold on, I'm going to

1133
01:17:45,640 --> 01:17:53,200
Speaker 1: my iHeart app right now. It's the number one preset

1134
01:17:53,320 --> 01:17:57,960
Speaker 1: on your iHeartRadio app. Well, I've got WISN, I've got WIBA,

1135
01:17:58,680 --> 01:18:01,559
Speaker 1: I've got the Dan o'donald Show, I've got the Mark

1136
01:18:01,600 --> 01:18:05,360
Speaker 1: Belling Show, Jay Weber. Is it just mir or do

1137
01:18:05,400 --> 01:18:08,640
Speaker 1: we not have the Jason Gotch podcast of yet? I

1138
01:18:08,680 --> 01:18:14,599
Speaker 1: cannot find it? Am I doing something wrong here? Yeah? Look,

1139
01:18:15,439 --> 01:18:21,520
Speaker 1: Jason Gotch, I'm not seeing it up there we go? Okay, good,

1140
01:18:21,840 --> 01:18:25,880
Speaker 1: all right? Hold on, hold on, I just added the

1141
01:18:26,000 --> 01:18:28,639
Speaker 1: Jason Gotch Show to my pre set, along with Ben

1142
01:18:28,720 --> 01:18:32,320
Speaker 1: Yeut who is already there, Vicky McKenna as well. I've

1143
01:18:32,320 --> 01:18:35,400
Speaker 1: also got some randos like Ben Shapiro is up there.

1144
01:18:35,400 --> 01:18:39,080
Speaker 1: I listen to Ben quite a bit, and that's kind

1145
01:18:39,080 --> 01:18:43,599
Speaker 1: of it. And Fox Sports Radio because during football season

1146
01:18:44,320 --> 01:18:48,240
Speaker 1: I will listen to it's the Fox Sports Blitz, I

1147
01:18:48,280 --> 01:18:51,240
Speaker 1: think they call it. It's all of the football games.

1148
01:18:51,280 --> 01:18:53,559
Speaker 1: They'll like go live to the ones where they have

1149
01:18:53,680 --> 01:18:56,320
Speaker 1: the play by play access to and they'll just kind

1150
01:18:56,320 --> 01:18:58,160
Speaker 1: of keep you up. It's sort of like the radio

1151
01:18:58,320 --> 01:19:02,040
Speaker 1: version of NFL Red Zone. And I listen to that

1152
01:19:02,080 --> 01:19:04,559
Speaker 1: while I'm doing yard work. And I'm sure you needed

1153
01:19:04,600 --> 01:19:12,120
Speaker 1: to know that, all right. We Can is not just

1154
01:19:12,200 --> 01:19:16,400
Speaker 1: a motivational phrase. It is also the acronym of the

1155
01:19:16,640 --> 01:19:21,880
Speaker 1: Wisconsin Education Career Access Network. It was started in two

1156
01:19:21,920 --> 01:19:26,040
Speaker 1: thousand and one to help educators search for teaching jobs

1157
01:19:26,560 --> 01:19:32,960
Speaker 1: across Wisconsin and to streamline applicants as well as open jobs.

1158
01:19:33,040 --> 01:19:36,519
Speaker 1: So basically, if you're an educator or if you're an

1159
01:19:36,680 --> 01:19:40,640
Speaker 1: educational institution, you go on this we can network and

1160
01:19:40,760 --> 01:19:46,280
Speaker 1: you find a job. Would you believe that not only

1161
01:19:46,520 --> 01:19:51,760
Speaker 1: are the libs who run the we CAN network standing

1162
01:19:51,800 --> 01:19:58,640
Speaker 1: with Minneapolis, they are actually standing with the literal fraudulent

1163
01:19:59,160 --> 01:20:04,800
Speaker 1: daycare set. I wish I was kidding. This email went

1164
01:20:04,840 --> 01:20:10,240
Speaker 1: out from Coreen with we can Ways to support communities

1165
01:20:10,240 --> 01:20:12,880
Speaker 1: in Minnesota. This is Koreen and I have been in

1166
01:20:13,000 --> 01:20:18,600
Speaker 1: personal contact with small business owners and childcare educators in

1167
01:20:18,720 --> 01:20:23,440
Speaker 1: Wisconsin asking how we in Wisconsin can best support them.

1168
01:20:24,000 --> 01:20:28,200
Speaker 1: Their response was, because of the USDA's decision to cut

1169
01:20:28,280 --> 01:20:35,240
Speaker 1: funding to the food pantry statewide network, it could use donations. Second,

1170
01:20:35,640 --> 01:20:38,360
Speaker 1: the Immigrant Defense Fund is working hard on behalf of

1171
01:20:38,400 --> 01:20:42,080
Speaker 1: those in Minnesota's rights are being denied. Immigrant Defense Network.

1172
01:20:42,360 --> 01:20:45,240
Speaker 1: Here is other information with several options to ask for

1173
01:20:45,680 --> 01:20:49,520
Speaker 1: and give help that I received from another leader in Minnesota.

1174
01:20:49,600 --> 01:20:54,000
Speaker 1: Here is an article that outlines numerous ways to support

1175
01:20:54,040 --> 01:21:01,360
Speaker 1: immigrant communities in the Twin Cities. They are also urging

1176
01:21:01,400 --> 01:21:05,400
Speaker 1: you to call your Senator Tammy Baldwin and tell her

1177
01:21:05,560 --> 01:21:10,719
Speaker 1: not to oppose the funding of ICE. She is also

1178
01:21:10,840 --> 01:21:12,960
Speaker 1: telling you at the county and local level, meet with

1179
01:21:13,040 --> 01:21:16,800
Speaker 1: sheriffs and local police chefs and asks how they or

1180
01:21:16,880 --> 01:21:19,600
Speaker 1: if they cooperate with ICE. Meet with candidates running for

1181
01:21:19,720 --> 01:21:25,639
Speaker 1: sheriff as well and ask them. They are also encouraging

1182
01:21:25,760 --> 01:21:28,679
Speaker 1: educators to sign a petition calling on Congress to stop

1183
01:21:28,760 --> 01:21:33,280
Speaker 1: raids and workplace surveillance that disrupt local business. Require real

1184
01:21:33,360 --> 01:21:37,000
Speaker 1: oversight and accountability for DHS and ICE. Protect workers, customers,

1185
01:21:37,000 --> 01:21:40,480
Speaker 1: and business districts from enforcement. Bah bah blah, blah blah.

1186
01:21:40,640 --> 01:21:43,559
Speaker 1: The big thing that stood out to me is that

1187
01:21:44,120 --> 01:21:50,080
Speaker 1: she is looking to support the fraudulent daycare centers, the

1188
01:21:50,280 --> 01:21:55,200
Speaker 1: childcare educators, asking how we can help here in Wisconsin.

1189
01:21:55,280 --> 01:22:00,559
Speaker 1: I just found that absolutely hysterical, since early child has

1190
01:22:00,640 --> 01:22:06,440
Speaker 1: been a massive source of fraud. And it's not just childcare,

1191
01:22:07,640 --> 01:22:11,880
Speaker 1: and it's not just Somali daycare operators. It is in

1192
01:22:11,920 --> 01:22:18,639
Speaker 1: fact also almost certainly the Somali congresswoman who represents the

1193
01:22:18,760 --> 01:22:25,280
Speaker 1: Minneapolis area, elon Omar Benny Johnson, who is a conservative

1194
01:22:25,320 --> 01:22:28,840
Speaker 1: talk show host. He does not terrestrial radio, but he

1195
01:22:28,880 --> 01:22:33,680
Speaker 1: does a webcast. He does a really nice guy. I

1196
01:22:33,720 --> 01:22:36,439
Speaker 1: met him where else at the RNC in the summer

1197
01:22:36,479 --> 01:22:41,000
Speaker 1: of twenty twenty four and really good dude. I told

1198
01:22:41,080 --> 01:22:43,280
Speaker 1: him I was always a fan. I always followed him

1199
01:22:43,320 --> 01:22:47,280
Speaker 1: on X because he always has great video clips that

1200
01:22:47,360 --> 01:22:51,160
Speaker 1: I invariably use in my show. Is a very gracious,

1201
01:22:51,280 --> 01:22:55,439
Speaker 1: very very good guy. He did an incredibly deep dive.

1202
01:22:55,560 --> 01:22:59,320
Speaker 1: He took a look at a business that elon Omar

1203
01:23:00,000 --> 01:23:03,400
Speaker 1: aims to own with her third husband. It's a winery

1204
01:23:04,000 --> 01:23:08,240
Speaker 1: and it doesn't actually appear to be a real business.

1205
01:23:09,520 --> 01:23:12,960
Speaker 1: Yet it last year reported, at least she reported on

1206
01:23:13,040 --> 01:23:18,600
Speaker 1: her campaign finance documents on her personal income filings that

1207
01:23:18,680 --> 01:23:23,920
Speaker 1: it made five million dollars. As the kids say, make

1208
01:23:24,000 --> 01:23:25,639
Speaker 1: it make sense. Here's Ben.

1209
01:23:25,720 --> 01:23:29,960
Speaker 6: Here's ilhan Omar's financial disclosure from the congressional record. You're

1210
01:23:30,040 --> 01:23:32,360
Speaker 6: twenty twenty three. I want to bring your attention to

1211
01:23:32,560 --> 01:23:36,479
Speaker 6: this company right down here a St. Crewellc. This is

1212
01:23:36,520 --> 01:23:40,519
Speaker 6: a winery in Santa Rosa, California. It's not doing that well.

1213
01:23:40,520 --> 01:23:43,120
Speaker 6: The total value of the winery is listed at fifteen

1214
01:23:43,200 --> 01:23:47,479
Speaker 6: thousand dollars and ilhan Omar's barely making any money off

1215
01:23:47,520 --> 01:23:51,519
Speaker 6: of it at all, hardly enough to pay a parking ticket. Okay,

1216
01:23:51,760 --> 01:23:54,920
Speaker 6: that's fine, nothing really mysterious there. Businesses fail all the time.

1217
01:23:55,200 --> 01:23:57,519
Speaker 6: But go ahead and look at her filing for twenty

1218
01:23:57,600 --> 01:24:00,240
Speaker 6: twenty four and you'll find that est Crue Winery, the

1219
01:24:00,280 --> 01:24:04,200
Speaker 6: same company and the same location, is now worth five

1220
01:24:04,400 --> 01:24:08,559
Speaker 6: million dollars. That's incredible, up from fifteen thousand and now

1221
01:24:08,600 --> 01:24:12,280
Speaker 6: glan Omar's making enough to pay rent.

1222
01:24:13,080 --> 01:24:16,920
Speaker 1: Really, how does that happen? This has got to be

1223
01:24:17,080 --> 01:24:21,680
Speaker 1: just an incredibly successful business, right, goes from almost no

1224
01:24:21,800 --> 01:24:25,519
Speaker 1: revenue in twenty twenty three to five million dollars in

1225
01:24:25,680 --> 01:24:31,800
Speaker 1: twenty twenty four. Wow, that's fantastic. Well, Johnson did a

1226
01:24:31,800 --> 01:24:35,880
Speaker 1: little digging first. He went to the wineries social media.

1227
01:24:36,800 --> 01:24:41,280
Speaker 1: Last Facebook post early January of twenty twenty three. Same

1228
01:24:41,280 --> 01:24:45,559
Speaker 1: thing with Instagram. Now that's very weird, right, I mean,

1229
01:24:45,600 --> 01:24:48,480
Speaker 1: you think this is a booming business out of nowhere,

1230
01:24:48,520 --> 01:24:53,519
Speaker 1: it just starts going gangbusters. Everybody knows in this day

1231
01:24:53,520 --> 01:24:55,759
Speaker 1: and age, you really have to have a robust presence

1232
01:24:55,800 --> 01:24:59,040
Speaker 1: on social media in order to get your word out there. Okay, well,

1233
01:24:59,120 --> 01:25:03,640
Speaker 1: maybe may they're not doing anything with social media. Maybe

1234
01:25:03,840 --> 01:25:06,719
Speaker 1: they're just doing all their marketing through their website. So

1235
01:25:06,960 --> 01:25:08,920
Speaker 1: Johnson went to their website.

1236
01:25:08,479 --> 01:25:10,519
Speaker 6: So I'm sure I can go and get some of

1237
01:25:10,520 --> 01:25:13,559
Speaker 6: their wine. Right, Well, they don't have any activities here,

1238
01:25:14,280 --> 01:25:18,400
Speaker 6: so maybe I could just go to their location and

1239
01:25:18,400 --> 01:25:20,880
Speaker 6: buy some of their wines, or maybe give them a call.

1240
01:25:21,439 --> 01:25:24,960
Speaker 6: Let's try and go to their location here. This is

1241
01:25:25,640 --> 01:25:30,240
Speaker 6: the Google street view of St. Crew Winery, and what

1242
01:25:30,320 --> 01:25:34,040
Speaker 6: you'll find here is an empty parking lot. Doesn't actually

1243
01:25:34,080 --> 01:25:38,679
Speaker 6: look like an operational business. Certainly isn't the same name.

1244
01:25:39,439 --> 01:25:43,080
Speaker 6: So okay, let's go ahead and give them a call,

1245
01:25:43,520 --> 01:25:45,400
Speaker 6: see if maybe they pick up. Let's go ahead and

1246
01:25:45,400 --> 01:25:47,800
Speaker 6: call the number on the web page. I couldn't give

1247
01:25:47,800 --> 01:25:51,439
Speaker 6: them a call and find out. Oh no, user busy,

1248
01:25:52,520 --> 01:25:57,080
Speaker 6: let's try it. Okay, well done this like twenty times today. Okay,

1249
01:25:57,400 --> 01:26:03,080
Speaker 6: so that didn't work. Is there any wine in this

1250
01:26:03,240 --> 01:26:05,479
Speaker 6: wine company? Is there anything about wines? Because I see

1251
01:26:05,479 --> 01:26:08,960
Speaker 6: like stuff about events, but like, what is this? Exactly

1252
01:26:09,560 --> 01:26:11,959
Speaker 6: are you supposed to sell wine at your wine company?

1253
01:26:12,080 --> 01:26:13,160
Speaker 6: Where are your wines?

1254
01:26:13,520 --> 01:26:14,839
Speaker 1: Oh? There are no wines.

1255
01:26:14,960 --> 01:26:18,040
Speaker 6: You don't know why because this is a fake company.

1256
01:26:19,680 --> 01:26:25,960
Speaker 1: Sure looks that way, doesn't it. The address that's listed

1257
01:26:26,000 --> 01:26:29,680
Speaker 1: on the website is rather obviously not a winery. It

1258
01:26:29,720 --> 01:26:32,599
Speaker 1: appears to be a parking lot for some other business.

1259
01:26:33,360 --> 01:26:38,200
Speaker 1: The website doesn't actually have any contact information that links

1260
01:26:38,280 --> 01:26:42,120
Speaker 1: to a live person. There is no other present. I

1261
01:26:42,120 --> 01:26:45,360
Speaker 1: actually looked up this winery this afternoon to see if

1262
01:26:45,400 --> 01:26:47,760
Speaker 1: there was another They go to a different website or

1263
01:26:47,800 --> 01:26:54,360
Speaker 1: it's a different name. Nothing. It's a fraudulent business. This

1264
01:26:54,600 --> 01:27:02,640
Speaker 1: is absolutely one hundred percent fraud. Trump administration is investigating

1265
01:27:02,720 --> 01:27:08,280
Speaker 1: totally racist, right, completely racist. I mean, she's Somali, she's black.

1266
01:27:08,360 --> 01:27:14,640
Speaker 1: She's a big critic of the President, obviously, this is,

1267
01:27:15,840 --> 01:27:23,160
Speaker 1: you know, retaliation. What if I told you that? According

1268
01:27:23,160 --> 01:27:27,680
Speaker 1: to The New York Times, the Biden Justice Department was

1269
01:27:27,760 --> 01:27:31,400
Speaker 1: the one that actually opened up the probe into elon

1270
01:27:31,600 --> 01:27:36,840
Speaker 1: Omar's finances. The story the Justice Department under the Biden

1271
01:27:36,840 --> 01:27:41,120
Speaker 1: administration opened an investigation into Representative Elon Omar, Democrat of

1272
01:27:41,160 --> 01:27:46,360
Speaker 1: Minnesota in twenty twenty four to scrutinize her finances, campaigns, spending,

1273
01:27:46,439 --> 01:27:49,800
Speaker 1: and interactions with a foreign citizen. According to people with

1274
01:27:49,920 --> 01:27:53,080
Speaker 1: knowledge of the matter, the inquiry, initiated by the US

1275
01:27:53,160 --> 01:27:57,719
Speaker 1: Attorney's Office in Washington and the department's Public Integrity Unit

1276
01:27:57,840 --> 01:28:00,200
Speaker 1: in June of that year, appears to have stalled for

1277
01:28:00,360 --> 01:28:02,519
Speaker 1: lack of evidence. According to one of the people who

1278
01:28:02,520 --> 01:28:08,760
Speaker 1: requested anonymity to discuss internal department matters, lack of evidence.

1279
01:28:09,400 --> 01:28:12,719
Speaker 1: How the hell is it that Benny Johnson, of all people,

1280
01:28:12,920 --> 01:28:16,839
Speaker 1: was able to find pretty compelling evidence that she's running

1281
01:28:16,960 --> 01:28:24,160
Speaker 1: a winery that doesn't actually sell any wine. The investigation

1282
01:28:24,280 --> 01:28:26,840
Speaker 1: appeared to be thrust into the public spotlight on Monday,

1283
01:28:26,880 --> 01:28:30,720
Speaker 1: when President Trump blindsided Department officials by posting about it

1284
01:28:30,760 --> 01:28:34,160
Speaker 1: on truth social singling out Miss Omar. It was part

1285
01:28:34,160 --> 01:28:36,840
Speaker 1: of a rambling statement announcing a shakeup of the team

1286
01:28:36,880 --> 01:28:42,240
Speaker 1: overseeing immigration raids in miss Omar's Minneapolis district that misspelled

1287
01:28:42,240 --> 01:28:46,400
Speaker 1: her name. Ah, New York Times never changed. The DOJ

1288
01:28:46,680 --> 01:28:50,160
Speaker 1: and Congress are looking at Congresswoman Elon Omar, who left

1289
01:28:50,200 --> 01:28:52,880
Speaker 1: Somalia with nothing and is now reportedly worth more than

1290
01:28:52,880 --> 01:28:57,120
Speaker 1: forty four million dollars, he wrote, Time will tell All.

1291
01:28:57,240 --> 01:28:59,400
Speaker 1: It was not clear whether mister Trump was referring to

1292
01:28:59,439 --> 01:29:02,200
Speaker 1: another invent instigation altogether, or how he arrives at the

1293
01:29:02,240 --> 01:29:05,959
Speaker 1: forty four million dollar figure that is in fact accurate.

1294
01:29:06,040 --> 01:29:10,120
Speaker 1: Her net worth is now somewhere north of thirty million dollars,

1295
01:29:10,160 --> 01:29:13,479
Speaker 1: And of course the New York Times story then shifts

1296
01:29:13,520 --> 01:29:17,639
Speaker 1: its focus not to the revelation. Hey wow, her fraud

1297
01:29:17,840 --> 01:29:20,280
Speaker 1: was so bad that it even caught the attention of

1298
01:29:20,320 --> 01:29:24,040
Speaker 1: the Justice Department under Joe Biden, but then obviously was

1299
01:29:24,200 --> 01:29:27,080
Speaker 1: killed as quickly as it started. Oh yeah, you know, boss,

1300
01:29:27,120 --> 01:29:30,920
Speaker 1: We just couldn't find any evidence they were inventing crimes

1301
01:29:30,960 --> 01:29:34,880
Speaker 1: to get Trump. But they couldn't find the fraudulent winery

1302
01:29:34,960 --> 01:29:38,840
Speaker 1: that a conservative influencer was able to dig up in

1303
01:29:39,200 --> 01:29:45,800
Speaker 1: about a day and a half. Okay, coming up here,

1304
01:29:45,840 --> 01:29:50,519
Speaker 1: on the Dan O'Donnells show, an exclusive investigation, how is

1305
01:29:50,560 --> 01:29:55,320
Speaker 1: it that the nation's economy turned around so quickly? And yes,

1306
01:29:55,800 --> 01:29:59,800
Speaker 1: lives it most definitely did turn around quickly. Inflation is

1307
01:29:59,800 --> 01:30:02,799
Speaker 1: bad to normal and we're looking at five percent GDP

1308
01:30:03,479 --> 01:30:05,600
Speaker 1: for the fourth quarter of twenty twenty five. In the

1309
01:30:05,600 --> 01:30:10,400
Speaker 1: first quarter of twenty twenty six, real personal income is up.

1310
01:30:10,600 --> 01:30:13,559
Speaker 1: Tax breaks are going to put money in people's pockets.

1311
01:30:13,960 --> 01:30:18,559
Speaker 1: Could it be that the single biggest decline in net

1312
01:30:18,640 --> 01:30:25,000
Speaker 1: immigration in American history is having a massive economic impact

1313
01:30:25,080 --> 01:30:33,759
Speaker 1: and that impact is overwhelmingly positive. We investigate next conservative thought,

1314
01:30:33,880 --> 01:30:36,240
Speaker 1: not just talk Welcome back to it. It is the

1315
01:30:36,479 --> 01:30:41,000
Speaker 1: Dan o'donald's show. New data from the Census Bureau finds

1316
01:30:41,240 --> 01:30:48,120
Speaker 1: net international migration is absolutely plummeting down eighty eight percent

1317
01:30:48,479 --> 01:30:52,719
Speaker 1: in a year under President Trump, peaking at two point

1318
01:30:52,760 --> 01:30:57,799
Speaker 1: seven million. Now, this is net migration, not gross, meaning

1319
01:30:58,240 --> 01:31:01,360
Speaker 1: the number of people who are coming into this country

1320
01:31:01,479 --> 01:31:04,360
Speaker 1: and the number of people who are leaving. You have

1321
01:31:04,600 --> 01:31:08,040
Speaker 1: net positive immigration that means more people are coming than

1322
01:31:08,120 --> 01:31:11,080
Speaker 1: are leaving. Net negative, more people are leaving than coming.

1323
01:31:11,720 --> 01:31:14,519
Speaker 1: Despite the fact that the left is constantly talking about

1324
01:31:14,520 --> 01:31:19,599
Speaker 1: what a racist hell hole America is a whole ton

1325
01:31:19,880 --> 01:31:24,960
Speaker 1: of people want to come to the United States. Net

1326
01:31:25,080 --> 01:31:29,080
Speaker 1: positive migration two point seven million in twenty twenty four,

1327
01:31:29,200 --> 01:31:34,080
Speaker 1: declining fifty percent to one point three million in twenty

1328
01:31:34,120 --> 01:31:37,920
Speaker 1: twenty five, and is now projected to decline Are you

1329
01:31:37,960 --> 01:31:43,200
Speaker 1: ready for this to just three hundred twenty one thousand

1330
01:31:43,560 --> 01:31:48,920
Speaker 1: in twenty twenty six under current trends. Biggest reason for this,

1331
01:31:49,040 --> 01:31:52,559
Speaker 1: rather obviously, is that President Trump, in just a matter

1332
01:31:52,600 --> 01:31:56,320
Speaker 1: of weeks after taking office last January, shut down the border.

1333
01:31:56,360 --> 01:31:59,160
Speaker 1: He was right, you did not need new laws, You

1334
01:31:59,400 --> 01:32:02,200
Speaker 1: just needed a new president. We have all of the

1335
01:32:02,280 --> 01:32:05,320
Speaker 1: laws we need to shut down the border. We always did.

1336
01:32:05,400 --> 01:32:08,719
Speaker 1: We had a president, though, in Joe Biden, or more

1337
01:32:08,800 --> 01:32:13,519
Speaker 1: accurately stated, a group of thirty and forty something they

1338
01:32:13,680 --> 01:32:16,800
Speaker 1: them's around him, who actually took the power of the

1339
01:32:16,840 --> 01:32:20,360
Speaker 1: president from a senile old man. They didn't want to

1340
01:32:20,479 --> 01:32:23,400
Speaker 1: enforce the border. They wanted it wide open, they wanted

1341
01:32:23,400 --> 01:32:27,400
Speaker 1: it porous. Why well, we established that last hour because

1342
01:32:27,439 --> 01:32:31,719
Speaker 1: it gives them political power. Even if illegal immigrants never

1343
01:32:31,960 --> 01:32:36,479
Speaker 1: cast a vote, not once, just their mere presence in

1344
01:32:36,600 --> 01:32:41,519
Speaker 1: blue states gives Democrats an advantage in congressional apportionment. It

1345
01:32:41,560 --> 01:32:44,000
Speaker 1: gives them more voting power in the Congress, and it

1346
01:32:44,080 --> 01:32:47,479
Speaker 1: makes it easier for them to win the presidency because

1347
01:32:47,520 --> 01:32:53,800
Speaker 1: congressional apportionment also apportions electoral votes. But what if all

1348
01:32:53,800 --> 01:32:56,920
Speaker 1: the economic successes that we're seeing in the first year

1349
01:32:56,920 --> 01:33:00,720
Speaker 1: of the Trump administration can be directly tied to this

1350
01:33:00,920 --> 01:33:08,880
Speaker 1: dramatic drop in net migration. Illegal immigration massively drives up costs,

1351
01:33:09,320 --> 01:33:14,720
Speaker 1: specifically the local tax burden. Public services and education in

1352
01:33:14,840 --> 01:33:19,040
Speaker 1: particular are hardest hit. More people in a given community,

1353
01:33:19,080 --> 01:33:25,400
Speaker 1: including children, increases demand for education, kh wells schooling, special education,

1354
01:33:26,040 --> 01:33:31,280
Speaker 1: English as a second language, instruction, pupil services. All of

1355
01:33:31,320 --> 01:33:35,400
Speaker 1: this stuff costs money. Who do you think pays for

1356
01:33:35,479 --> 01:33:39,519
Speaker 1: this stuff? Do you think it's the new arrivals or

1357
01:33:39,560 --> 01:33:42,120
Speaker 1: do you think it is the rest of the people

1358
01:33:42,280 --> 01:33:47,480
Speaker 1: in said community. Not only that, you're paying for increased

1359
01:33:47,760 --> 01:33:53,960
Speaker 1: law enforcement, detention of illegal immigrants, adjudication of the crimes

1360
01:33:54,000 --> 01:33:56,960
Speaker 1: that they commit. Not only that, at the federal level,

1361
01:33:57,200 --> 01:34:00,320
Speaker 1: there is an increased need for border enforcement and for

1362
01:34:00,960 --> 01:34:04,800
Speaker 1: interior enforcement of immigration laws, ice that sort of thing.

1363
01:34:04,880 --> 01:34:09,560
Speaker 1: You need detention beds, you need transportation, you need humanitarian

1364
01:34:10,640 --> 01:34:14,640
Speaker 1: things for these migrants. Those all incur costs to the

1365
01:34:14,720 --> 01:34:22,320
Speaker 1: American taxpayer. Illegal immigrants also drive up healthcare costs. They

1366
01:34:22,439 --> 01:34:25,479
Speaker 1: usually don't get insurance. I don't know if you knew this,

1367
01:34:26,120 --> 01:34:31,880
Speaker 1: but their primary care physicians are almost invariably emergency rooms,

1368
01:34:31,920 --> 01:34:36,160
Speaker 1: which are not allowed to turn away anyone regardless of

1369
01:34:36,200 --> 01:34:38,639
Speaker 1: whether or not they have an ability to pay for

1370
01:34:38,680 --> 01:34:43,759
Speaker 1: the services that they are going to use. Migrants almost

1371
01:34:43,960 --> 01:34:48,080
Speaker 1: never pay out of pocket or through insurance for any

1372
01:34:48,200 --> 01:34:56,320
Speaker 1: emergency room visits guests. Who does. The hospitals themselves and

1373
01:34:56,479 --> 01:35:01,960
Speaker 1: local governments all absorb the uncompensation care costs and then

1374
01:35:02,240 --> 01:35:07,360
Speaker 1: pass those costs onto their paying customers i e. You

1375
01:35:08,280 --> 01:35:12,759
Speaker 1: and me and everyone else who has to use medical

1376
01:35:12,800 --> 01:35:16,400
Speaker 1: services but can't just skip out of the bill. Not

1377
01:35:16,439 --> 01:35:21,479
Speaker 1: only that, if you have a rapid population increase, there

1378
01:35:21,560 --> 01:35:26,360
Speaker 1: is also a sudden competition for the same basic amount

1379
01:35:26,439 --> 01:35:29,800
Speaker 1: of resources. I've talked about this often on the Dan

1380
01:35:29,840 --> 01:35:35,559
Speaker 1: O'Donnells show. Yes, you cannot think of resources as a

1381
01:35:35,800 --> 01:35:41,000
Speaker 1: zero sum game. We are constantly able to create new

1382
01:35:41,080 --> 01:35:44,519
Speaker 1: resources to replenish our supply of resources. But in a

1383
01:35:44,560 --> 01:35:48,800
Speaker 1: given moment, if there is a sudden influx of migrants,

1384
01:35:49,479 --> 01:35:53,439
Speaker 1: you can only build apartment buildings and houses so quickly,

1385
01:35:53,920 --> 01:35:56,960
Speaker 1: So in that moment when you are looking for an apartment,

1386
01:35:57,080 --> 01:36:00,400
Speaker 1: if you are all of a sudden competing with four

1387
01:36:00,600 --> 01:36:06,040
Speaker 1: million new arrivals from Guatemala and Honduras, the costs are

1388
01:36:06,080 --> 01:36:09,480
Speaker 1: going to go up because not only are they competing

1389
01:36:09,520 --> 01:36:12,680
Speaker 1: for the same housing, but you're now suddenly competing with

1390
01:36:12,840 --> 01:36:17,679
Speaker 1: the government, which is paying top dollar to get hotel rooms,

1391
01:36:17,720 --> 01:36:22,559
Speaker 1: to get apartment buildings to house these people. There have

1392
01:36:22,640 --> 01:36:24,880
Speaker 1: been a whole lot of studies that have been done

1393
01:36:25,360 --> 01:36:30,320
Speaker 1: on the cost of illegal immigration. The Congressional Budget Office

1394
01:36:30,600 --> 01:36:32,840
Speaker 1: just put out a study about a year and a

1395
01:36:32,920 --> 01:36:37,080
Speaker 1: half ago effects of the surge and immigration on state

1396
01:36:37,080 --> 01:36:41,439
Speaker 1: and local budgets in twenty twenty three. According to the

1397
01:36:41,439 --> 01:36:47,880
Speaker 1: Congressional Budget Office, this contributed to a budget deficit, meaning

1398
01:36:48,439 --> 01:36:51,559
Speaker 1: how much state and local governments were on the hook

1399
01:36:51,600 --> 01:36:54,360
Speaker 1: how much money that they had to pay extra of

1400
01:36:54,720 --> 01:37:00,680
Speaker 1: nine point two billion dollars in twenty twenty three. They

1401
01:37:00,720 --> 01:37:05,040
Speaker 1: had to spend nine billion dollars taking care of people

1402
01:37:05,040 --> 01:37:08,320
Speaker 1: who suddenly were dropped in their lapse but have no

1403
01:37:08,560 --> 01:37:13,920
Speaker 1: earthly business being in this country. The gold standard study

1404
01:37:14,320 --> 01:37:20,040
Speaker 1: of just what illegal immigration immigration actually legal and illegal

1405
01:37:20,760 --> 01:37:26,560
Speaker 1: costs the American citizen is from the National Academies of Sciences.

1406
01:37:27,160 --> 01:37:30,439
Speaker 1: It's called the Economic and Fiscal Consequences of Immigration. It

1407
01:37:30,520 --> 01:37:34,680
Speaker 1: was first done in twenty seventeen and then updated in

1408
01:37:34,760 --> 01:37:40,640
Speaker 1: twenty twenty four. The key finding was that first generation

1409
01:37:41,200 --> 01:37:46,439
Speaker 1: low skilled immigrants, both legal and illegal, are a net

1410
01:37:46,640 --> 01:37:52,479
Speaker 1: drain on a country. No real surprise is here. They

1411
01:37:52,479 --> 01:37:56,479
Speaker 1: are much more likely to use more services than they

1412
01:37:56,479 --> 01:38:00,000
Speaker 1: are contributing to the economy. They don't have jobs skilled,

1413
01:38:00,080 --> 01:38:05,599
Speaker 1: they don't have skills that will immediately contribute to the

1414
01:38:05,640 --> 01:38:10,439
Speaker 1: tax base. We're not importing the best Guatemalon surgeons who

1415
01:38:10,479 --> 01:38:13,080
Speaker 1: will immediately come in and start making half a million

1416
01:38:13,120 --> 01:38:18,040
Speaker 1: dollars a year. These are low skilled laborers who are

1417
01:38:18,080 --> 01:38:20,599
Speaker 1: going to be much more likely to be a drain

1418
01:38:20,760 --> 01:38:23,240
Speaker 1: on a given area where they settle because they are

1419
01:38:23,360 --> 01:38:26,759
Speaker 1: much more likely to use welfare, They're much more likely

1420
01:38:27,040 --> 01:38:31,000
Speaker 1: to use other social services, and they are much more

1421
01:38:31,200 --> 01:38:34,680
Speaker 1: likely to need the police called on them or to

1422
01:38:34,880 --> 01:38:41,759
Speaker 1: require some form of law enforcement services. Fair, the anti

1423
01:38:41,920 --> 01:38:47,360
Speaker 1: illegal immigration think tank, put out a study that uses

1424
01:38:47,640 --> 01:38:52,840
Speaker 1: this twenty seventeen National Academy of Sciences survey to put

1425
01:38:52,880 --> 01:38:57,320
Speaker 1: out a study. They basically extrapolated the data from this

1426
01:38:58,000 --> 01:39:04,840
Speaker 1: National Institute of Sciences thirty and found American taxpayers face

1427
01:39:04,920 --> 01:39:09,080
Speaker 1: a net annual cost of at least one hundred and

1428
01:39:09,120 --> 01:39:15,160
Speaker 1: fifty one billion dollars per year because of illegal immigration.

1429
01:39:16,320 --> 01:39:19,639
Speaker 1: It costs US one hundred and fifty one billion dollars

1430
01:39:20,200 --> 01:39:24,479
Speaker 1: per year. Now, the most recent year for which data

1431
01:39:24,520 --> 01:39:28,040
Speaker 1: is available for that is twenty twenty two. Things got

1432
01:39:28,200 --> 01:39:31,800
Speaker 1: way worse in twenty two, twenty three, and twenty four

1433
01:39:32,280 --> 01:39:37,000
Speaker 1: with illegal immigration. I'm willing to wager it's way more.

1434
01:39:38,280 --> 01:39:43,519
Speaker 1: What Fair found is that each illegal immigrant in the

1435
01:39:43,680 --> 01:39:49,040
Speaker 1: United States costs an average of sixty eight thousand dollars

1436
01:39:49,520 --> 01:39:58,280
Speaker 1: or more every single year. That's absolutely insane. Heritage Foundation

1437
01:39:58,760 --> 01:40:02,479
Speaker 1: also did a study fiscal cost of unlawful immigrants and

1438
01:40:02,600 --> 01:40:08,240
Speaker 1: amnesty to the US taxpayer. They actually found, when adjusting

1439
01:40:08,320 --> 01:40:11,080
Speaker 1: for the roughly seven million they put the number of

1440
01:40:11,360 --> 01:40:16,880
Speaker 1: illegal aliens allowed in under Biden at seven million, they

1441
01:40:16,960 --> 01:40:22,599
Speaker 1: said the existing illegal alien population causes at least one

1442
01:40:22,760 --> 01:40:27,679
Speaker 1: hundred ten billion dollars in annual net fiscal costs. Yes,

1443
01:40:28,479 --> 01:40:33,960
Speaker 1: as liberals love to say, they pay taxes, they're contributing

1444
01:40:34,000 --> 01:40:39,360
Speaker 1: to the tax space. Yes, sometimes mostly in sales taxes

1445
01:40:39,400 --> 01:40:46,000
Speaker 1: when they buy things when you look at the net cost, though,

1446
01:40:46,960 --> 01:40:50,439
Speaker 1: because they use so much more in welfare, so much

1447
01:40:50,479 --> 01:40:55,880
Speaker 1: more in medicaids, so much more in law enforcement and schooling,

1448
01:40:56,000 --> 01:40:58,880
Speaker 1: and all of these other things that Americans have to

1449
01:40:58,920 --> 01:41:03,120
Speaker 1: pay for, they are a net drain on taxpayers. Heritage

1450
01:41:03,120 --> 01:41:11,480
Speaker 1: Foundation similarly found low education illegals create huge burdens, confirming

1451
01:41:11,600 --> 01:41:16,759
Speaker 1: National Academy's data showing negative fiscal impacts for low skilled groups.

1452
01:41:16,920 --> 01:41:19,600
Speaker 1: Who do you suppose the Biden administration was bringing in

1453
01:41:19,720 --> 01:41:22,720
Speaker 1: high skilled or low skilled workers? Were they bringing them

1454
01:41:22,800 --> 01:41:30,440
Speaker 1: in in small numbers or in massive numbers? Now, imagine

1455
01:41:30,479 --> 01:41:33,559
Speaker 1: if you go on a campaign in your first year

1456
01:41:33,800 --> 01:41:38,880
Speaker 1: of a new presidential administration to deport or to induce

1457
01:41:39,120 --> 01:41:42,799
Speaker 1: as many of these people to leave as humanly possible.

1458
01:41:43,840 --> 01:41:46,720
Speaker 1: What do you think is going to happen? Why do

1459
01:41:46,760 --> 01:41:50,080
Speaker 1: you think all of a sudden, we went from nine

1460
01:41:50,280 --> 01:41:54,200
Speaker 1: percent year over year inflation all the way down to

1461
01:41:54,439 --> 01:41:59,200
Speaker 1: less than three percent, even as President Trump is engaged

1462
01:41:59,240 --> 01:42:03,960
Speaker 1: in something that's traditionally believed to be inflationary, like terrifing

1463
01:42:04,080 --> 01:42:08,280
Speaker 1: every other nation on Earth. It's because we have gotten

1464
01:42:08,479 --> 01:42:12,120
Speaker 1: rid of the excess drain on the economy and the

1465
01:42:12,280 --> 01:42:18,520
Speaker 1: massive competition for resources that existed throughout the Biden administration.

1466
01:42:19,040 --> 01:42:22,280
Speaker 1: Prices are going down because there is no longer this

1467
01:42:22,479 --> 01:42:27,640
Speaker 1: artificial competition. It's not just national security, it's not just

1468
01:42:27,880 --> 01:42:33,080
Speaker 1: law enforcement policy that necessitates illegal aliens out of this country.

1469
01:42:33,120 --> 01:42:38,880
Speaker 1: It is also good fiscal policy. It is deflationary. It

1470
01:42:39,000 --> 01:42:44,080
Speaker 1: is putting downward pressure on prices, making things more affordable

1471
01:42:44,439 --> 01:42:48,160
Speaker 1: for the American citizens who actually do have a right

1472
01:42:48,280 --> 01:42:51,280
Speaker 1: to be here. You're listening to the Dan O'Donnell show,

1473
01:42:51,840 --> 01:42:58,680
Speaker 1: Conservative thought not Just talk back in a second. So

1474
01:42:58,720 --> 01:43:01,000
Speaker 1: I got a haircut today. If you are watching us

1475
01:43:01,080 --> 01:43:05,120
Speaker 1: on the Dan okem you probably noticed that. And I

1476
01:43:05,200 --> 01:43:07,519
Speaker 1: was in a hurry, so I went to sport Clips.

1477
01:43:07,560 --> 01:43:10,720
Speaker 1: I actually love sport Clips. I've been going to the

1478
01:43:10,760 --> 01:43:12,680
Speaker 1: same one or two for a while. I actually know

1479
01:43:12,760 --> 01:43:17,599
Speaker 1: the stylists there, nice ladies, and they of course had

1480
01:43:17,640 --> 01:43:20,800
Speaker 1: on you know sport clips. Everybody knows sport clips, right,

1481
01:43:20,800 --> 01:43:25,080
Speaker 1: It's like haircuts for guys. And I do not get

1482
01:43:25,080 --> 01:43:29,000
Speaker 1: the hot towel. I like the hot towel. I always

1483
01:43:29,000 --> 01:43:31,559
Speaker 1: feel weird when I get the hot towel. It just

1484
01:43:31,760 --> 01:43:37,040
Speaker 1: I don't know, it just feels odd. Also, I didn't

1485
01:43:37,080 --> 01:43:39,400
Speaker 1: have a whole lot of time I was running errands

1486
01:43:39,439 --> 01:43:43,439
Speaker 1: and doing some other stuff, so I did not get

1487
01:43:43,479 --> 01:43:47,479
Speaker 1: the hot towel. They had it on ESPN, of course,

1488
01:43:48,880 --> 01:43:55,479
Speaker 1: and stephen A. Smith, who he's stephen A. So you

1489
01:43:55,560 --> 01:43:57,639
Speaker 1: take what he says with a grain of salt. Right,

1490
01:43:57,800 --> 01:44:03,760
Speaker 1: everybody knows this, But he had on Brian Windhorst, who

1491
01:44:03,920 --> 01:44:11,400
Speaker 1: is one of the most respected NBA reporters. He's very

1492
01:44:11,439 --> 01:44:15,240
Speaker 1: plugged in, he's in the know, He's he just he

1493
01:44:15,320 --> 01:44:18,120
Speaker 1: knows what he's talking about. Right, This isn't just steven

1494
01:44:18,200 --> 01:44:22,479
Speaker 1: A yelling at the top of his lungs with Kendrick Perkins. Okay.

1495
01:44:24,600 --> 01:44:30,320
Speaker 1: Windhorst was saying the Bucks absolutely need to tank, they

1496
01:44:30,360 --> 01:44:33,240
Speaker 1: need to get rid of Yannis, and that Yannis has

1497
01:44:33,439 --> 01:44:37,280
Speaker 1: already made up his mind that he is out. He

1498
01:44:37,479 --> 01:44:41,320
Speaker 1: is not coming back to Milwaukee. The Bucks have absolutely

1499
01:44:41,439 --> 01:44:45,439
Speaker 1: no chance of getting him, and they pretty much just

1500
01:44:45,560 --> 01:44:50,559
Speaker 1: need to move on. Right. I don't know if I

1501
01:44:50,600 --> 01:44:59,400
Speaker 1: believe that. That said, when you have once again national

1502
01:44:59,479 --> 01:45:03,360
Speaker 1: pundits and not just people like steven A, like you

1503
01:45:03,400 --> 01:45:10,000
Speaker 1: know ESPN is what is it embraced debate was that

1504
01:45:10,040 --> 01:45:12,360
Speaker 1: the philosophy they went with so they got rid of

1505
01:45:12,400 --> 01:45:16,880
Speaker 1: a whole lot of Reporters. There's a wonderful show on

1506
01:45:16,880 --> 01:45:19,160
Speaker 1: on Sundays on ESPN. I used to watch when I

1507
01:45:19,160 --> 01:45:21,080
Speaker 1: was a kid. It was called The Sports Reporters. You

1508
01:45:21,080 --> 01:45:25,920
Speaker 1: remember that with Jeremy Shapp. Dick Shapp was the host

1509
01:45:25,960 --> 01:45:28,320
Speaker 1: of that for a long time, and it was a

1510
01:45:28,400 --> 01:45:31,479
Speaker 1: roundtable where these guys would, yes, give their opinions, but

1511
01:45:31,560 --> 01:45:33,120
Speaker 1: it was always very well informed.

1512
01:45:33,160 --> 01:45:33,360
Speaker 4: Well.

1513
01:45:34,240 --> 01:45:36,920
Speaker 1: A lot of the guys from that era were either

1514
01:45:37,000 --> 01:45:40,800
Speaker 1: allowed to retire or they were cut loose because they

1515
01:45:40,840 --> 01:45:45,360
Speaker 1: wanted to pay Steven A and who's the guy, Oh

1516
01:45:45,360 --> 01:45:47,440
Speaker 1: my god, why can't I remember his name? Pat McAfee,

1517
01:45:48,320 --> 01:45:51,040
Speaker 1: Pat McAfee. They wanted to pay them tens of millions

1518
01:45:51,080 --> 01:45:56,640
Speaker 1: of dollars. I don't disagree necessarily with the philosophy. It

1519
01:45:56,720 --> 01:45:59,360
Speaker 1: is a business, after all, and the whole point is

1520
01:45:59,360 --> 01:46:03,679
Speaker 1: to get your product. I might have been the only

1521
01:46:03,720 --> 01:46:11,439
Speaker 1: person watching The Sports Reporters on Sunday morning, but you

1522
01:46:11,680 --> 01:46:13,960
Speaker 1: sort of have to take what is said on these

1523
01:46:14,000 --> 01:46:18,519
Speaker 1: programs with a grain of salt. Windhorst, though, is like

1524
01:46:18,600 --> 01:46:24,000
Speaker 1: Adam Schefter, like Sham's Charania, who's their big baseball guy.

1525
01:46:24,600 --> 01:46:27,439
Speaker 1: The guys who are actually very plugged in, they're doing

1526
01:46:27,479 --> 01:46:33,400
Speaker 1: the legwork. Windhorst is a very respected reporter. He says,

1527
01:46:34,400 --> 01:46:39,599
Speaker 1: Yannis is done with the Bucks, and this, folks, is

1528
01:46:39,680 --> 01:46:43,519
Speaker 1: something that I have been hearing literally since this past summer,

1529
01:46:44,280 --> 01:46:47,400
Speaker 1: that he is convinced that the Bucks are not going

1530
01:46:47,439 --> 01:46:50,800
Speaker 1: to be able to win, that he does not have

1531
01:46:50,880 --> 01:46:54,679
Speaker 1: a future here. But he is terrified, and I keep

1532
01:46:54,720 --> 01:46:59,040
Speaker 1: hearing the word terrified, that he's going to be the

1533
01:46:59,040 --> 01:47:02,360
Speaker 1: bad guy. He does not want to force a trade.

1534
01:47:02,680 --> 01:47:05,360
Speaker 1: And right now you might have heard that the Bucks

1535
01:47:06,080 --> 01:47:12,280
Speaker 1: season is basically over. Today, Windhorst and Kendrick Perkins and

1536
01:47:12,320 --> 01:47:14,439
Speaker 1: Steven A were saying, look, this is going to be

1537
01:47:14,439 --> 01:47:17,200
Speaker 1: the first time in something like six or seven years

1538
01:47:17,520 --> 01:47:19,760
Speaker 1: that the Bucks don't make the playoffs. But Stephen A

1539
01:47:19,760 --> 01:47:21,439
Speaker 1: actually made a great point. He said, well, what does

1540
01:47:21,439 --> 01:47:25,040
Speaker 1: it matter they lose in the first round. Every single

1541
01:47:25,160 --> 01:47:27,760
Speaker 1: year have they gotten out of the first round since

1542
01:47:27,800 --> 01:47:31,840
Speaker 1: they won the NBA title, I'm not sure they have.

1543
01:47:34,479 --> 01:47:37,320
Speaker 1: This is also one of the only years that the

1544
01:47:37,320 --> 01:47:41,040
Speaker 1: Bucks actually control a draft pick. They are going to

1545
01:47:41,240 --> 01:47:45,760
Speaker 1: They have swap rights with the New Orleans Pelicans. Pelicans

1546
01:47:45,760 --> 01:47:48,040
Speaker 1: are one of the worst teams in the NBA, so

1547
01:47:48,200 --> 01:47:52,680
Speaker 1: the Bucks get whichever pick is worse between Theirs and

1548
01:47:52,800 --> 01:47:56,760
Speaker 1: New Orleans is well. New Orleans is not going anywhere.

1549
01:47:57,880 --> 01:48:01,920
Speaker 1: Zion Williamson is in the process of eating himself right

1550
01:48:01,920 --> 01:48:04,720
Speaker 1: out of the league. They're not a good team. They

1551
01:48:04,760 --> 01:48:08,240
Speaker 1: are probably going to get a very high lottery pick.

1552
01:48:09,479 --> 01:48:14,400
Speaker 1: The thinking then is that the Bucks can either tank

1553
01:48:15,120 --> 01:48:19,960
Speaker 1: just intentionally lose, or they can compete to get in

1554
01:48:20,000 --> 01:48:23,040
Speaker 1: the play in tournament. Remember, you don't just make the

1555
01:48:23,080 --> 01:48:27,799
Speaker 1: playoffs in the NBA. The seventh, eighth, ninth, and tenth

1556
01:48:28,000 --> 01:48:31,439
Speaker 1: seeds all play in a little play in tournament before

1557
01:48:31,520 --> 01:48:33,680
Speaker 1: they get the right to be the number seven and

1558
01:48:33,760 --> 01:48:40,360
Speaker 1: number eight seeds. What point would that serve? It is

1559
01:48:40,400 --> 01:48:44,759
Speaker 1: my very strong belief that Yannis being out for quote

1560
01:48:45,120 --> 01:48:49,160
Speaker 1: four to six weeks is part of a tank effort,

1561
01:48:49,600 --> 01:48:53,280
Speaker 1: and I don't necessarily disagree with it. You've got a

1562
01:48:53,360 --> 01:48:57,840
Speaker 1: very top loaded draft this year. The top three players

1563
01:48:58,320 --> 01:49:03,840
Speaker 1: are incredibly ten ballented. The guard for Kansas whose name

1564
01:49:03,880 --> 01:49:08,360
Speaker 1: I can't remember, Darren, I can't remember. The other one

1565
01:49:08,360 --> 01:49:12,160
Speaker 1: I remember because he's the son of Carlos Boozer, former

1566
01:49:12,280 --> 01:49:17,000
Speaker 1: NBA player Cameron Boozer. What's that, Darren Peterson, Thank you

1567
01:49:17,080 --> 01:49:21,000
Speaker 1: very much, producer. Eric. Darren Peterson is now projected to

1568
01:49:21,040 --> 01:49:24,439
Speaker 1: be the number one pick. Number two is a guy

1569
01:49:24,520 --> 01:49:27,400
Speaker 1: who actually went to a school that a lot of

1570
01:49:27,400 --> 01:49:30,760
Speaker 1: people don't quite think of as an athletic hotbed byu

1571
01:49:30,840 --> 01:49:36,000
Speaker 1: aj die Bantza, who is All of these guys Boozer, Debansa,

1572
01:49:36,120 --> 01:49:40,320
Speaker 1: and Peterson are all averaging like twenty four points a

1573
01:49:40,320 --> 01:49:42,920
Speaker 1: game in college. That's very difficult to do, and all

1574
01:49:43,000 --> 01:49:47,439
Speaker 1: of them look absolutely dominant. If you can get one

1575
01:49:47,439 --> 01:49:51,640
Speaker 1: of the top three picks, that's a potentially franchise changing.

1576
01:49:52,760 --> 01:49:53,040
Speaker 4: Pick.

1577
01:49:54,360 --> 01:49:57,519
Speaker 1: Why would the Bucks not want to get in on

1578
01:49:57,600 --> 01:50:01,400
Speaker 1: what's projected to be a very good draft class that

1579
01:50:01,520 --> 01:50:04,760
Speaker 1: gives them some options They can say, hey, Yannis, look,

1580
01:50:04,880 --> 01:50:10,680
Speaker 1: we're reloading around Cameron, Boozer and you. Why don't you

1581
01:50:10,720 --> 01:50:16,320
Speaker 1: give us one more year? Or that gives them the

1582
01:50:16,560 --> 01:50:21,320
Speaker 1: player to build around while trading away Yannis getting more

1583
01:50:21,439 --> 01:50:26,400
Speaker 1: draft picks or more young players to build around a

1584
01:50:26,439 --> 01:50:31,679
Speaker 1: potential franchise cornerstone. To me, especially with this Yannis injury,

1585
01:50:32,320 --> 01:50:36,479
Speaker 1: I don't see another way forward for this organization, which

1586
01:50:36,479 --> 01:50:40,000
Speaker 1: has seemed stuck in the mud for at least the

1587
01:50:40,120 --> 01:50:43,160
Speaker 1: last four years. You're listening to the Dan o'donald Show.

1588
01:50:43,200 --> 01:50:48,679
Speaker 1: It is classical conservatism, contemporary style, and some sports talk

1589
01:50:48,800 --> 01:50:53,120
Speaker 1: thrown in sometimes as well. Just about three minutes left.

1590
01:50:53,280 --> 01:50:57,200
Speaker 1: You're on the Dan o'donald's show. Welcome back to it.

1591
01:50:57,439 --> 01:51:02,360
Speaker 1: This is always folks. Look, I know I will hear

1592
01:51:02,520 --> 01:51:07,320
Speaker 1: from the stick to the issues crowd. Rush always used

1593
01:51:07,320 --> 01:51:10,240
Speaker 1: to talk about that when he wanted to talk about football.

1594
01:51:10,280 --> 01:51:15,080
Speaker 1: I talk about sports, but more from the business aspect

1595
01:51:15,200 --> 01:51:19,080
Speaker 1: of it. I'm far less concerned with the x's and

1596
01:51:19,160 --> 01:51:22,680
Speaker 1: oh's of particular games than I am with sort of

1597
01:51:22,680 --> 01:51:26,839
Speaker 1: the psychology and the business behind it. And I'm always

1598
01:51:27,080 --> 01:51:31,920
Speaker 1: fascinated by the concept of tanking. While fans hate it

1599
01:51:32,840 --> 01:51:36,479
Speaker 1: as a general strategy, if you are not competing for

1600
01:51:36,560 --> 01:51:42,080
Speaker 1: a championship, you are probably better off after you get

1601
01:51:42,120 --> 01:51:45,120
Speaker 1: a reasonable assessment of how a season is going. This

1602
01:51:45,200 --> 01:51:48,720
Speaker 1: is why in the NFL it only makes sense to

1603
01:51:48,800 --> 01:51:52,120
Speaker 1: tank if you start out like oh to seven, because

1604
01:51:52,120 --> 01:51:58,360
Speaker 1: things can turn around so incredibly quickly. Speaking of things

1605
01:51:58,360 --> 01:52:01,120
Speaker 1: turning around quickly, did you see who made the Pro Bowl?

1606
01:52:02,080 --> 01:52:06,160
Speaker 1: Shetur Sanders. He had statistically one of the worst seasons.

1607
01:52:06,240 --> 01:52:08,840
Speaker 1: I think his quarterback rating was eighteen. I'm not even

1608
01:52:08,880 --> 01:52:10,800
Speaker 1: making that up. He made the Pro Bowl. What a

1609
01:52:10,960 --> 01:52:12,920
Speaker 1: joke that thing is, it's got to be put out

1610
01:52:12,920 --> 01:52:15,760
Speaker 1: of its misery and quickly. I think they're doing it

1611
01:52:15,840 --> 01:52:19,599
Speaker 1: at a holiday inn and suites on the Tuesday before

1612
01:52:19,680 --> 01:52:24,439
Speaker 1: the Super Bowl. But because things can turn around so

1613
01:52:24,520 --> 01:52:29,240
Speaker 1: quickly in the NFL, tanking doesn't always make sense, because

1614
01:52:30,360 --> 01:52:33,880
Speaker 1: in an eighty two game season, you can see pretty

1615
01:52:34,040 --> 01:52:38,080
Speaker 1: quickly how good you are relatively speaking, and if you

1616
01:52:38,120 --> 01:52:41,360
Speaker 1: get yourself in an early hole, it is very, very

1617
01:52:41,400 --> 01:52:44,720
Speaker 1: difficult because of the number of games there are to

1618
01:52:44,800 --> 01:52:50,599
Speaker 1: dig yourself out of it. It is always, always, I

1619
01:52:50,640 --> 01:52:53,679
Speaker 1: think the better bet to just tank and to try

1620
01:52:53,720 --> 01:52:56,400
Speaker 1: to get a higher draft pick. That to me just

1621
01:52:56,520 --> 01:53:02,479
Speaker 1: seems like an incredible strategy. All Right, we are out

1622
01:53:02,520 --> 01:53:07,240
Speaker 1: of time here on the Dan o'donald's show. Tomorrow, we

1623
01:53:07,280 --> 01:53:10,400
Speaker 1: are of course going to dive into all of the

1624
01:53:10,560 --> 01:53:16,200
Speaker 1: craziness going on in Minneapolis, as I suspect things are

1625
01:53:16,240 --> 01:53:23,840
Speaker 1: not ramping down, but rather ramping up. Have a wonderful evening, Wisconsin,

1626
01:53:23,960 --> 01:53:26,880
Speaker 1: be sure to stay warm. We will talk to you

1627
01:53:27,000 --> 01:53:30,240
Speaker 1: tomorrow right here on the Dan o'donald's show.