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Speaker 1: Kind of amazing watching a key liberal narrative just collapse

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Speaker 1: in real time. Why it is that the left chooses

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Speaker 1: as its heroes and its martyrs the worst people in

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Speaker 1: this country. Coming up on the Thursday edition of The

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Speaker 1: Dan o'donald Show. It felt positively balmy today as we

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Speaker 1: got up to sixteen degrees. Don't worry though, more snow.

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Speaker 1: More ice is on its way to Wisconsin. Not that

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Speaker 1: kind of ice. Despite the persistent rumors by lefties who

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Speaker 1: have no idea what they're talking about, we will cover

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Speaker 1: all of it coming up on this edition of The

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Speaker 1: Dan o'donald Show. Here are the top stories we're following

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Speaker 1: this hour. President Trump holding his very first cabinet meeting

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Speaker 1: of the new year. The Senate is passing its failing

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Speaker 1: to pass rather a procedural vote that would avert a

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Speaker 1: partial government shut down at midnight tonight. Democrats voting Wisconsin's

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Speaker 1: Tammy Baldwin want to shut the government down to prevent

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Speaker 1: funding for the Department of Homeland Security, of course, the

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Speaker 1: department that houses ice. The President Majium made a major

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Speaker 1: announcement during that cabinet meeting earlier ten.

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Speaker 2: I just spoke to the President of Venezuela informed or

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Speaker 2: that we're going to be opening up all commercial airspace

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Speaker 2: over Venezuela. American citizens will be very shortly able to

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Speaker 2: go to Venezuela.

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Speaker 1: That's fantastic news for anybody who's wanted to visit beautiful,

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Speaker 1: sunny Caracas. I kid, of course, but Caracas, Venezuela is

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Speaker 1: actually a fantastic city. I've heard that has been decimated

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Speaker 1: by more than two decades of socialist rule, as pretty

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Speaker 1: much every city that has ever been run by socialists

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Speaker 1: has been. Trump today also warned Iran to come to

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Speaker 1: the negotiating table or face a stronger US military response

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Speaker 1: in the region. This as a massive American naval presence

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Speaker 1: is bearing down on Tehran here at home. A couple

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Speaker 1: of exclusive stories coming up later this hour here on

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Speaker 1: the Dan o'donald Show. Why was there a swastika at

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Speaker 1: one of the ice out high school protests this week?

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Speaker 1: And why is it that a local middle school is

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Speaker 1: actively encouraging activism amongst its students, not just activism but

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Speaker 1: anti ice insanity. Both of those stories coming up later today.

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Speaker 1: Coming up in the four o'clock hour the Daily Trump Date.

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Speaker 1: Your look at President Trump's Washington, we'll name the unhinged

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Speaker 1: liberal of the day. Unfortunately, one of the best TV

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Speaker 1: actors of the last decade and a half reveals himself

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Speaker 1: to be a complete and utter left wing nut job,

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Speaker 1: Unsung Hero of the Day, and much much more, all

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Speaker 1: coming up on The Dan o'donald Show. If you want

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Speaker 1: to join us four one, four seven nine to nine

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Speaker 1: eleven thirty is our nos dot com talk and text line.

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Speaker 1: Email till me any time you want, day or night,

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Speaker 1: rain or shine DD at iHeartMedia dot com, at Dan

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Speaker 1: o'donald's show on ex on Facebook, on Instagram, on YouTube.

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Speaker 1: We are streaming on all of those. Watch the show

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Speaker 1: via the danocamin Please do subscribe to The Dan o'donald

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Speaker 1: Show podcast on iHeartRadio or wherever you listen to podcasts nationwide.

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Speaker 1: Keyword this hour in the cold hard Cash contest is

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Speaker 1: Bank b A NK bank. You have got until three

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Speaker 1: fifty five to go to our website and enter the

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Speaker 1: keyword bank. If your entry is picked at random, you

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Speaker 1: will take one thousand dollars to the bank, courtesy of

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Speaker 1: our corporate overlords at iHeartRadio. All week long, democrats have

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Speaker 1: been falling over each other to lionize Alex Pretty, the

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Speaker 1: thirty seven year old saintly Va nurse, just minding his

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Speaker 1: own business when he was assaulted and brutally murdered by

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Speaker 1: ICE agents. At least that is what democrats like Elizabeth

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Speaker 1: Warren fo Cohuntis herself have wanted you to believe.

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Speaker 3: Caring for people was at the core of who he was.

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Speaker 3: He was incapable of causing harm. Alex carried patience, compassion,

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Speaker 3: and calm as a steady light within him. Even at

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Speaker 3: the very end, that light was there. I recognized his

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Speaker 3: familiar stillness and signature calm composure.

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Speaker 1: Yes, if there's anything we know about Alex Pretty, especially

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Speaker 1: in his last moments, he was very still and very calm.

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Speaker 1: That maudlin pap on the floor of the Senate actually

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Speaker 1: paled in comparison to left winger Anna Navarro on CNN

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Speaker 1: two nights ago.

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Speaker 4: They killed the wrong guy, right, because this is like

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Speaker 4: the perfect guy. Alex Pretty is the guy you'd want

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Speaker 4: to date your daughter, the guy you'd want your son

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Speaker 4: to grow up to be a decent human being, who

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Speaker 4: was serving humanity, serving sick veterans.

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Speaker 1: Who is there is nothing.

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Speaker 4: That has been said about that man that isn't wonderful,

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Speaker 4: and so they can't malign him. They can't malign him

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Speaker 4: because we have the videos.

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Speaker 1: We do. We do have the videos, including this new

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Speaker 1: one from January thirteenth, of Alex Pretty spitting on an

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Speaker 1: ICE agent's car and then kicking it, taking out a

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Speaker 1: rear tail light. This prompted an ICE agent to jump

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Speaker 1: out to try to take Preddy into custody. He got

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Speaker 1: so violent while armed that it actually took five different

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Speaker 1: law enforcement agents to take him down. This was about

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Speaker 1: a week and a half before another confrontation in which

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Speaker 1: Pretty was shot and killed. Now, in this audio that

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Speaker 1: we're about to play, I do hope that I was

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Speaker 1: able to bleep out all of the swear words. If not,

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Speaker 1: it's very chaotic. You can see horns, you can hear

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Speaker 1: their stupid whistles. I apologize, and I hope the FCC

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Speaker 1: will forgive me. What you will hear is Alex Pretty

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Speaker 1: screaming assault me, mother, bleeper, assault me. It's perfect guy.

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Speaker 1: On Monday night, at the Green Bay School District Board meeting,

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Speaker 1: board president James Lyarley actually paused for a moment to

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Speaker 1: honor the life of Alex Pretty, who was a graduate

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Speaker 1: some years ago of Green Bay Preble High School.

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Speaker 5: Before we reconvene into open session, we're going to take

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Speaker 5: a pause for a moment of silence to remember and

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Speaker 5: honor the life of Alex Pretty, a two thousand and

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Speaker 5: six graduate of Preble High School.

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Speaker 1: Alex was described by his.

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Speaker 5: Family and friends as conscientious, civic minded individual who cared

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Speaker 5: for veterans, his community, and the people around him. His

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Speaker 5: life reflects the values that we strive to instill in

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Speaker 5: our students, compassion, service, and responsibility to others.

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Speaker 1: This afternoon, I reached out to mister Lary to ask

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Speaker 1: him in the wake of the video of Alex Pretty

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Speaker 1: being incredibly unhinged and violently assaulting law enforcement officers. Yes,

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Speaker 1: an attack on a law enforcement officers car is, in

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Speaker 1: fact obstruction of federal primer. It is a federal crime.

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Speaker 1: Alex Pretty screaming at, spitting on and then violently resisting arrest,

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Speaker 1: all of these are federal crimes. I actually reached out

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Speaker 1: to mister Liarly and asked him, hey, I attached the

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Speaker 1: videos so he couldn't say, hey, I didn't see this video.

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Speaker 1: I asked him, do you stand by your statement that

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Speaker 1: Alex Pretty reflected the values that you want to see

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Speaker 1: in your Green Bay students. This is the president of

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Speaker 1: the school board in Green Bay. Now, before you say well, Dan,

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Speaker 1: he said this days before this new video surface. And

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Speaker 1: it should be noted that this was January thirteenth, not

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Speaker 1: January twenty fourth, the day that Preddy was shot and

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Speaker 1: killed Saturday morning by Border patrol agents. These weren't even

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Speaker 1: Ice agents. Now why this is relevant is a It

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Speaker 1: absolutely destroys the narrative that the Left always tries to

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Speaker 1: build up that people who are objectively not good are

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Speaker 1: in fact saints, and the people who are just sort

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Speaker 1: of trying to keep the peace, law enforcement officers who

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Speaker 1: do have a lawful authority to enforce border law and

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Speaker 1: enforce immigration law, they are in fact Nazis. I mean,

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Speaker 1: we put together an entire montage of Democrats calling Ice

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Speaker 1: agents Nazis, comparing them to slave catchers. On Sunday, the

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Speaker 1: day after Preddy was shot. You even had the governor

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Speaker 1: of Minnesota, the buffoon Tim Walls, coming out and saying, yeah,

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Speaker 1: we all read that book by Ann Frank. Someday a

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Speaker 1: little girl is going to write the Diary of Minneapolis

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Speaker 1: about what's going on today, even the Holocaust Museum got

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Speaker 1: involved and said, hey, that is like way out of whack.

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Speaker 1: Not to be outdone, you had Stephen Colbert on his

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Speaker 1: little watched show this week say, look, you can't compare

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Speaker 1: ICE agents to the SS. The Nazis at least showed

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Speaker 1: their faces heavily implying that ICE agents are worse than

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Speaker 1: the Nazis. This is where we're at. And people like

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Speaker 1: Alex Preddi, who, let's face it, along with Renee Good,

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Speaker 1: had a little bit of a screw loose and were

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Speaker 1: very obviously going out to try to confront federal agents

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Speaker 1: because they were hearing this rhetoric, they were internalizing it,

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Speaker 1: they believed it with every fiber of their being, and

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Speaker 1: they were trying to fight Nazis. They were trying to

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Speaker 1: hunt down evil. They were standing on the side of

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Speaker 1: the ultimate good against what they perceived to be and

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Speaker 1: what they have been propagandized to believe was the ultimate evil.

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Speaker 1: This is why this ongoing rhetoric Trump is Hitler, Ice

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Speaker 1: is Nazis is so incredibly dangerous. It doesn't just put

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Speaker 1: President Trump and Charlie Kirk and everybody else who's even

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Speaker 1: a little bit right of center in the literal crosshairs

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Speaker 1: of deranged would be assassins or people who have no

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Speaker 1: compunction about being extremely violent. It also rallies people who

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Speaker 1: like Alex Preddy, even though he went very armed into

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Speaker 1: confrontations with ICE agents on at least two separate occasions,

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Speaker 1: including the one in which he was shot to death,

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Speaker 1: who may or may not have any intention of being

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Speaker 1: incredibly violent, they are still whipped into a frenzy and

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Speaker 1: they make it utterly impossible for laws to be enforced

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Speaker 1: here in this country. And what's the most dangerous aspect

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Speaker 1: of this is that this isn't a bug of Democrat

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Speaker 1: rhetoric and Democrat political strategy. It is a feature. This

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Speaker 1: is why you're seeing these training sessions go on all

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Speaker 1: across the country, including here in Wisconsin. In fact, I

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Speaker 1: dare say here on the Dan O'Donnell Show, we were

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Speaker 1: among the first in early December to report on what

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Speaker 1: was going on, that these people are actually getting trained

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Speaker 1: to go and not just observe ICE, not just verify

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Speaker 1: that ICE agents are in an area conducting deportation operations.

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Speaker 1: The entire point is what we're seeing in Minneapolis, to

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Speaker 1: go and to confront and to make it impossible for

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Speaker 1: ICE agents to do their job. In fact, the very

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Speaker 1: fact of someone going to verify that ICE is there

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Speaker 1: and to warn the potential subjects of a valid deportation

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Speaker 1: operation who have valid, yes administrative, or judicial warrants in

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Speaker 1: order to do what they do in order to take

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Speaker 1: these people into custody. That is obstruction of federal process.

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Speaker 1: That is, it's a very very serious crime. As now,

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Speaker 1: former Milwaukee County Circuit Court judge had a Dugan discovered

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Speaker 1: in the harshest possible way with a federal criminal conviction.

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Speaker 1: This is why also I am making it my personal

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Speaker 1: mission to try to make sure that there aren't these

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Speaker 1: sort of violent confrontations here in Wisconsin. And let's be

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Speaker 1: abundantly clear here, there is no evidence, not at all,

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Speaker 1: that ICE is going to do massive operations the likes

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Speaker 1: of which we're seeing in Minneapolis. Nonetheless, I don't want

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Speaker 1: any of these sorts of violent confrontations. I don't want

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Speaker 1: this sort of panic in the streets that is leading

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Speaker 1: to these confrontations. And that's why I am repeatedly imploring

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Speaker 1: my listeners to do what they can and to clog

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Speaker 1: the ICE verifier hotline that the radical leftist socialist group

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Speaker 1: Vosas de la Frontera has put out to make sure

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Speaker 1: that we are reporting where we have seen ice, Like

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Speaker 1: maybe we've seen ice at every taco bell from here

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Speaker 1: to eau Claire. Call Bo, says de la Fronterra. Get

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Speaker 1: some ice verifiers out on the street, make sure they

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Speaker 1: are going to the farthest flung places in Wisconsin. All

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Speaker 1: you need to do is call them out there. One

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Speaker 1: eight hundred four to two seven zero two one three.

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Speaker 1: Just that easy. Now, I would hate for there to

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Speaker 1: be some sort of confrontation, So I want to make

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Speaker 1: sure that these highly trained people are getting out there

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Speaker 1: to make sure that ice is say, I don't know

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Speaker 1: where can we put them? Where do you think? In fact,

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Speaker 1: I would love if you could text, if you could

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Speaker 1: text some of the most random places in Wiscon oh oh, oh,

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Speaker 1: oh oh. How about this House on the Rock, House

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Speaker 1: on the Rock, in the weird dollroom. At the House

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Speaker 1: on the Rock, I think I saw a whole bunch

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Speaker 1: of ice agents. We should probably get some verifiers there.

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Speaker 1: Get all the way out to House on the Rock.

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Speaker 1: You know. I actually, while we're out that way, I

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Speaker 1: think I saw I think I saw some ICE agents

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Speaker 1: at the very top of the plunge at Noah's Ark. Yeah,

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Speaker 1: I know, I know, it's close. It's weird. It's weird

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Speaker 1: that ICE would be conducting operations at the very top

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Speaker 1: of a tall water slide. But hey, I mean, we

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Speaker 1: need to verify that they're actually there. So if you

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Speaker 1: could call one eight hundred four to two seven zero

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Speaker 1: two one three, I think it would go a long

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Speaker 1: way to make sure that we are getting trained professional

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Speaker 1: people out there. Big exclusive story coming up next, welcome

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Speaker 1: back to it. This is Alex pretty January thirteenth, it

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Speaker 1: is confirmed to be him. His family did confirm yes,

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Speaker 1: this is Alex, and now we know, by the way,

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Speaker 1: why his parents were telling him, Okay, go protest, but

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Speaker 1: please don't get into any confrontations with ICE agents. It's

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Speaker 1: because he was getting into confrontations with ICE agents. In fact,

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Speaker 1: there is reporting that he actually quit his job as

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Speaker 1: a VA nurse in order to basically try to impede

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Speaker 1: and obstruct and get in the faces of ICE agents

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Speaker 1: full time. That's exactly what he was doing on January thirteenth,

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Speaker 1: about eleven days before he was killed in yet another

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Speaker 1: confrontation with ICE agents that pop you heard that bang.

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Speaker 1: That was him kicking the tail light out of a car. Now,

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Speaker 1: the BBC, citing an independent news agency which found the footage,

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Speaker 1: posted another video angle of that. Now, because this news

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Speaker 1: agency has the same initials t n M as an

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Speaker 1: AI company, would you believe liberals believe that this is

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Speaker 1: actually an AI video. TNM stands for the News Movement.

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Speaker 1: There is another AI company called TNM. It's not that

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Speaker 1: TNM is the News Movement. In fact, the narrator of

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Speaker 1: the BBC video even says, the News movement brought us

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Speaker 1: this video of Alex pretty attacking this cop card. You

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Speaker 1: can see he kicks out the tail light clear as

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Speaker 1: a bell. He is then an agent gets out of

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Speaker 1: the vehicle and tackles him to the ground and he

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Speaker 1: is taken into custody. Now, a lot of people are asking, hey,

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Speaker 1: why didn't he face serious criminal charges? Why was he

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Speaker 1: still out on the street. If he wasn't, if he

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Speaker 1: was locked up where he should have been for committing

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Speaker 1: any number of federal crimes, he wouldn't have been on

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Speaker 1: the streets. He would have been able to be killed.

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Speaker 1: His life might have actually been spared. Now, another thing

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Speaker 1: that people are saying about this newly released video is

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Speaker 1: that it's somehow not relevant that eleven days earlier him

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Speaker 1: getting very violent while armed, and it should be made

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Speaker 1: abundantly clear he had his gun that sig sour, which

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Speaker 1: may or may not have gone off accidentally during the

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Speaker 1: confrontation with ICE agents with Border Patrol agents that led

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Speaker 1: to his death. It should be noted that this is

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Speaker 1: very germane to the confrontation that ended his life. It

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Speaker 1: indicates that he was not merely there. He was not

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Speaker 1: merely on the scene to what was the initial story.

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Speaker 1: While he was just helping a woman who had fallen

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Speaker 1: down and he was just a bystander. He just happened

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Speaker 1: to be there. And he's a nurse, you see, he's

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Speaker 1: a VA nurse. This is what he does. He's such

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Speaker 1: a good man that he had to help people. And

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Speaker 1: that's exactly what he was doing. He was helping people

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Speaker 1: who are being victimized by those wicked ICE agents. No,

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Speaker 1: he was there because he was there following agents for

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Speaker 1: days and what we're now knowing to be weeks what

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Speaker 1: has been revealed to be weeks and weeks and weeks.

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Speaker 1: He was one of these Ice verifiers who is not

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Speaker 1: merely peacefully taking down license plates and not merely taking

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Speaker 1: a look at what ICE is doing and reporting back

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Speaker 1: and just blowing their stupid little whistles. They are actually

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Speaker 1: trying their best to stop ICE deportation raids. This, by

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Speaker 1: the way, is why all of our listeners need to

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Speaker 1: take some time to call one eight hundred four to

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Speaker 1: two seven zero two one three to make sure that

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Speaker 1: we get some of these highly trained, highly specialized ICE

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Speaker 1: verifiers out to some of the most random locations in

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Speaker 1: Wisconsin just to make sure, just to make sure that

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Speaker 1: there aren't any ICE agents where you know, they could be.

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Speaker 1: They could be arresting people, they could be brutalizing people.

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Speaker 1: After all, according to Stephen Colbert, they're they're every bit

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Speaker 1: as bad as the Nazis, if not worse, because the

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Speaker 1: Nazis didn't even cover up their their faces. So we

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Speaker 1: want to make sure that all of these left wing

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Speaker 1: radicals are going out to verify ICE's presence. And that's

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Speaker 1: why you need to call one eight hundred and four

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Speaker 1: to two seven zero two one three. If pretty who

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Speaker 1: was again armed, was showing up at locations with the

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Speaker 1: express purpose of assaulting law enforcement agents or the express

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Speaker 1: purpose of interfering with law enforcement deployment and action. Then

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Speaker 1: it can be reasonably assumed that he was also there

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Speaker 1: on the day he was killed Saturday morning to obstruct ice. Now, again,

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Speaker 1: why he was there doesn't necessarily matter in terms of

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Speaker 1: the calculus of whether or not the shooting of him justified.

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Speaker 1: All that matters. The only standard that matters. Remember, according

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Speaker 1: to federal law, according to established Supreme Court precedent, and

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Speaker 1: according to every accepted law enforcement standard of use of force.

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Speaker 1: The only standard that matters is did the agent did

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Speaker 1: a reasonable agent any reasonable law enforcement officer put in

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Speaker 1: that exact same scenario, would he have a reasonable belief

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Speaker 1: that there would be imminent death or substantial bodily harm

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Speaker 1: if he did not use deadly force. If a reasonable

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Speaker 1: officer could conclude that death or substantial bodily harm was imminent,

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Speaker 1: then deadly force is authorized. Rather obviously, there was a

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Speaker 1: gun that was established by another officer when Pretty was

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Speaker 1: being taken down and arrested, yelling gun, gun, gun, There

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Speaker 1: was some gun shot, then went off, and then was

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Speaker 1: shot ten times. Preddy can be seen on his arrest

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Speaker 1: video appearing to lunge into his pants towards his holster

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Speaker 1: or towards his waistband, where an officer who has already

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Speaker 1: remember established that a gun is on this subject, or

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Speaker 1: at least at one point was on the subject. Whether

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Speaker 1: or not the gun is still on the subject, the

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Speaker 1: officer has a millisecond to determine whether or not it

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Speaker 1: is reasonable to conclude that that guy is going for

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Speaker 1: a gun, and if he gets it, every officer on

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Speaker 1: the scene could be dead in the next three or

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Speaker 1: four milliseconds. He's got act. What the prior arrest video

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Speaker 1: of Preddi proves is that he was going and intending

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Speaker 1: to cause harm to law enforcement agents. I don't know

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Speaker 1: any innocent bystanders who get so worked up that they

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Speaker 1: spit on a law enforcement officer's car and then kick

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Speaker 1: out a tail light. Apparently the five agents it took

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Speaker 1: to take down Alex pretty broke his rip. Now, this

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Speaker 1: also potentially establishes a motive for him to continue to

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Speaker 1: go out and to try to stalk and harass officers.

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Speaker 1: That he's so ticked off that they got him last

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Speaker 1: time that he is now bound and determined to get

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Speaker 1: them this time. That would be backed up by the

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Speaker 1: fact that not only was he carrying a sig sour.

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Speaker 1: He also had a whole ton of extra ammunition. All right,

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Speaker 1: I promised an exclusive story. We are going to get

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Speaker 1: you one. A middle school in the Milwaukee area not

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Speaker 1: only showing video of Alex Pretti's death, but propagandizing students,

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Speaker 1: middle schoolers, kids as young as sixth grade to write

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Speaker 1: anti ICE letters to Congress and the mayor. We'll get

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Speaker 1: to that coming up next. Classical conservatism contemporary style. It

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Speaker 1: is the Dan o'donald show. Become back to it. Whitman

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Speaker 1: Middle School in Wohahtosa is apparently propagandizing its students. I

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Speaker 1: received the following email from a listener this week. Hello, Dan,

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Speaker 1: my daughter is in, he says the grade I've redacted

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Speaker 1: that at Witman Middle School in Woahwatosa. She came home

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Speaker 1: today to explain that her teachers, yes more than one,

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Speaker 1: have been bringing up the most recent shooting of the

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Speaker 1: nurse that is Alex, pretty encouraging her and all students

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Speaker 1: to write to the mayor and Congress to show outrage

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Speaker 1: against Ice. In other words, in doctrination. She feels scared

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Speaker 1: if she speaks on behalf of ICE or law enforcement.

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Speaker 1: I'd like to put out in a public forum, and

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Speaker 1: I will also be contacting the school myself for a

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Speaker 1: better understanding of what the goal is with these talks

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Speaker 1: during a time that should be spent on her education.

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Speaker 1: They even had shown the video of the incident along

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Speaker 1: with bringing up Renee Good. I'd love to get this

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Speaker 1: to as many folks to stand up against this in schools.

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Speaker 1: For the record, I love the show and very much

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Speaker 1: appreciate you, sincerely, and then the parent signs their name.

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Speaker 1: This is not the first time apparently that there has

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Speaker 1: been an issue recently with class time being used on

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Speaker 1: things other than education. January twenty first, that would be

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Speaker 1: I believe Martin Luther King Junior Day, or it was

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Speaker 1: immediately after there was a peace walk where students at

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Speaker 1: Whitman actually walked out of school. It was a walk

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Speaker 1: for peace. According to a flyers sent home to parents,

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Speaker 1: our school will be participating in a walk for peace

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Speaker 1: on January twenty first. A peace walk is an opportunity

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Speaker 1: for the community to unify while raising awareness for peace,

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Speaker 1: justice and non violence. And then they give some suggestions

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Speaker 1: on what signs to bring. Optional enhancements, add color or

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Speaker 1: symbols that represent peace, unity or hope. Include a meaningful

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Speaker 1: word or phrase. Examples, given, justice, kindness, equality, Carefully incorporate

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Speaker 1: a short MLK quote with quotation marks. What is the

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Speaker 1: purpose of this exactly? Now? I know what the purpose

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Speaker 1: of the Renee Good alex Pretty walkout is. And in fact,

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Speaker 1: there are a good number of schools that are going

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Speaker 1: to be at least in part taking part in this

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Speaker 1: national boycott Day or whatever it's called tomorrow, in which

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Speaker 1: they're going to try to harm as many local businesses

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Speaker 1: as possible. Don't go to school, don't go to work,

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Speaker 1: don't go to anything, don't spend any money. This is

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Speaker 1: one of those left wing things that what it does

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Speaker 1: is it makes powerless impotent people feel powerful and like

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Speaker 1: they're doing something so of course destructive, but that's sort

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Speaker 1: of the point. Now. After I posted this story about

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Speaker 1: the indoctrination at Whitman Middle School, I received an email

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Speaker 1: from someone who has a connection to the school. Hello Dan,

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Speaker 1: Unfortunately this is not Whitman Middle School's first issue with

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Speaker 1: teaching what to think versus how Shortly after President Trump

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Speaker 1: won the election back in twenty twenty four, my granddaughter

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Speaker 1: came home upset, stating a teacher then sixth grade was

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Speaker 1: crying in class over the outcome and encourage kids to

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Speaker 1: express their feelings on the school collaboration board. My daughter

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Speaker 1: sent me pictures that her kids drew or posted that

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00:29:01,120 --> 00:29:08,000
Speaker 1: reflected violent actions toward President Trump. She hesitantly she did

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Speaker 1: not want her daughter treated poorly by her teacher for reporting.

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Speaker 1: She was talking about her daughter, not the granddaughter. Hesitantly

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Speaker 1: contacted school officials and they said they would look into it.

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Speaker 1: It went nowhere, and my granddaughter felt the teacher treated

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Speaker 1: her differently after that. They are a team principle on

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00:29:27,960 --> 00:29:30,600
Speaker 1: down to teacher and have each other's backs versus addressing

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Speaker 1: and teaching. All opinions matter, not just theirs. And she said,

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Speaker 1: afraid to comment on your chat to keep my daughter

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Speaker 1: and granddaughter from harassment as a result of this. Sad,

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Speaker 1: probably smart because for whatever reason, I think I have

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00:29:49,000 --> 00:29:54,360
Speaker 1: tripped the Facebook algorithm and pretty much everything I post

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00:29:54,520 --> 00:29:58,440
Speaker 1: is getting hundreds and hundreds and hundreds of shares and

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Speaker 1: thousands of common It's from the most unhinged psychopathic leftists

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00:30:05,320 --> 00:30:08,320
Speaker 1: that you have ever heard. I'm looking at my Facebook

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Speaker 1: messages right now. Each bleep, you bleeping wire. You're a

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Speaker 1: real bleephead, ain't you you're a F word that means

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Speaker 1: a well, I guess what is that? A bundle of sticks?

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Speaker 1: But it's used in this case as a slang term

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Speaker 1: for a gay male. Those are simply messages that I

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Speaker 1: have gotten one thirty five, one forty and two eighteen PM.

432
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Speaker 1: So probably smart by our source here saying that political

433
00:30:39,120 --> 00:30:43,760
Speaker 1: indoctrination is sort of the way of the world at

434
00:30:43,760 --> 00:30:46,840
Speaker 1: Whitman Middle School. And this is this is hardly by

435
00:30:46,840 --> 00:30:49,480
Speaker 1: the way I did reach out to the Wahwatosa School District.

436
00:30:49,560 --> 00:30:51,920
Speaker 1: I'm taking a wild guess I am not going to

437
00:30:52,000 --> 00:30:55,760
Speaker 1: hear back, just as I have not yet heard back

438
00:30:56,120 --> 00:31:01,120
Speaker 1: from uh the president of the school board in Green

439
00:31:01,200 --> 00:31:05,120
Speaker 1: Bay saying Alex pretty is exactly the sort of guy

440
00:31:05,800 --> 00:31:08,880
Speaker 1: that we want our kids to grow up to be.

441
00:31:09,160 --> 00:31:09,240
Speaker 6: Like.

442
00:31:09,480 --> 00:31:13,000
Speaker 1: Coming up later on in the Dan o'donald's show, how

443
00:31:13,080 --> 00:31:17,240
Speaker 1: exactly did a picture of us swastika make it into

444
00:31:17,320 --> 00:31:20,160
Speaker 1: a picture that the Journal Sentinel posted of one of

445
00:31:20,160 --> 00:31:23,640
Speaker 1: those ice out high school walkouts. We'll get into that

446
00:31:23,720 --> 00:31:27,560
Speaker 1: and much more here on the Dan o'donald show. Democrats

447
00:31:27,600 --> 00:31:30,880
Speaker 1: absolutely are going to shut down the government, or at

448
00:31:30,960 --> 00:31:35,040
Speaker 1: least they're going to try to. Wisconsin Senator Tammy Baldwin

449
00:31:35,160 --> 00:31:39,959
Speaker 1: among them because they don't want immigration enforcement. It has

450
00:31:40,040 --> 00:31:43,480
Speaker 1: nothing to do with ICE's tactics. It has nothing to

451
00:31:43,560 --> 00:31:47,240
Speaker 1: do with Ice itself. It has everything to do with

452
00:31:47,400 --> 00:31:51,320
Speaker 1: the fact that Democrats realize now that they need illegal

453
00:31:51,400 --> 00:31:55,920
Speaker 1: immigrants to gain and maintain political power in this country.

454
00:31:57,000 --> 00:32:00,120
Speaker 1: Do you realize that if we counted only America and

455
00:32:00,280 --> 00:32:03,840
Speaker 1: citizens for the purposes of the census and every ten

456
00:32:03,920 --> 00:32:09,400
Speaker 1: years the reapportionment of congressional seats, California would lose somewhere

457
00:32:09,400 --> 00:32:13,120
Speaker 1: in the neighborhood of six to seven congressional seats and

458
00:32:13,360 --> 00:32:17,840
Speaker 1: also six to seven electoral votes in presidential elections in

459
00:32:17,920 --> 00:32:21,800
Speaker 1: twenty thirty. As it stands now, even counting every single

460
00:32:21,880 --> 00:32:25,880
Speaker 1: illegal in California, this state is projected to lose four.

461
00:32:26,520 --> 00:32:30,520
Speaker 1: Texas is going to gain four. Rather paradoxically, it's because

462
00:32:30,560 --> 00:32:33,560
Speaker 1: Austin and Dallas are growing by leaps and bounds. Austin,

463
00:32:33,680 --> 00:32:37,680
Speaker 1: especially Austin was about the size of Madison maybe fifteen

464
00:32:37,720 --> 00:32:42,000
Speaker 1: to twenty years ago. It's remarkable what that city has

465
00:32:42,040 --> 00:32:44,800
Speaker 1: been able to do. I was actually there in October

466
00:32:45,120 --> 00:32:48,280
Speaker 1: for my brother's bachelor party. Lives down there. He's a doctor,

467
00:32:48,320 --> 00:32:53,120
Speaker 1: in the University of Texas Health System and I was

468
00:32:53,160 --> 00:32:56,520
Speaker 1: down there. They got married in Mexico in December, so

469
00:32:56,680 --> 00:32:58,360
Speaker 1: I didn't get to go down there for the wedding

470
00:32:58,440 --> 00:33:01,040
Speaker 1: and absolutely fell in love with the Yes, it's liberal

471
00:33:01,040 --> 00:33:04,480
Speaker 1: as all hell, but it is just it's a wonderful city.

472
00:33:04,480 --> 00:33:05,880
Speaker 1: If you can get a chance to go down there

473
00:33:05,920 --> 00:33:10,680
Speaker 1: for the south By Southwest or Austin City Limits, or

474
00:33:10,720 --> 00:33:12,800
Speaker 1: one of the other big things that they do, or

475
00:33:12,880 --> 00:33:15,800
Speaker 1: just to just to go down there, it is very,

476
00:33:16,840 --> 00:33:21,080
Speaker 1: very cool. Coming up in the four o'clock hour, we

477
00:33:21,120 --> 00:33:25,360
Speaker 1: will explain exactly how Democrats have gotten themselves so dependent

478
00:33:26,040 --> 00:33:31,040
Speaker 1: upon illegal immigration and why sanctuary city policies are sort

479
00:33:31,040 --> 00:33:34,480
Speaker 1: of their key to it. We will also get into

480
00:33:34,520 --> 00:33:37,240
Speaker 1: an exclusive story how exactly did a picture of a

481
00:33:37,400 --> 00:33:42,280
Speaker 1: swastika end up on the Milwaukee Journal Sentinels Instagram page.

482
00:33:42,720 --> 00:33:44,960
Speaker 1: It was part of one of the ice out student

483
00:33:45,120 --> 00:33:48,000
Speaker 1: protests at a local high school. We'll dive into that

484
00:33:48,080 --> 00:33:51,120
Speaker 1: right now, though, it's time to name the unhinged liberal

485
00:33:51,120 --> 00:34:04,440
Speaker 1: of the rough is dangerous because he's evil.

486
00:34:06,080 --> 00:34:07,000
Speaker 7: America is.

487
00:34:09,040 --> 00:34:13,080
Speaker 1: A big fan of Breaking Bad. Everybody was a fan

488
00:34:13,160 --> 00:34:15,360
Speaker 1: of Breaking Bad that watched it. One of the best

489
00:34:15,400 --> 00:34:20,520
Speaker 1: series I think of all time, I have gotten into

490
00:34:20,520 --> 00:34:24,160
Speaker 1: near fist fights with members of my family and even

491
00:34:24,239 --> 00:34:29,160
Speaker 1: my own wife for saying it's derivative. It's completely derivative

492
00:34:29,200 --> 00:34:32,920
Speaker 1: of The Sopranos. The Sopranos was a far superior series

493
00:34:33,520 --> 00:34:36,440
Speaker 1: and Breaking Bad. I could do an entire hour of

494
00:34:36,440 --> 00:34:39,400
Speaker 1: how Breaking Bad is brilliant. It is a brilliant show,

495
00:34:40,320 --> 00:34:44,560
Speaker 1: but it is literally the Sopranos set in Albuquerque with

496
00:34:44,719 --> 00:34:48,480
Speaker 1: meth instead of the Mafia. But one of the best

497
00:34:48,600 --> 00:34:52,680
Speaker 1: characters on that show was the bad guy Gus Frigg,

498
00:34:52,760 --> 00:34:58,000
Speaker 1: played by John Carlo Esposito, who was truly terrifying. He

499
00:34:58,080 --> 00:35:02,200
Speaker 1: was fantastic in that role. Reprised it later for the

500
00:35:02,239 --> 00:35:08,359
Speaker 1: prequel series Better Call Soul. It pains me to say this,

501
00:35:08,719 --> 00:35:11,719
Speaker 1: but he is today's unhinged liberal of the day. He's

502
00:35:11,760 --> 00:35:16,720
Speaker 1: on a red carpet for some award show somewhere saying

503
00:35:17,320 --> 00:35:21,480
Speaker 1: we need an armed revolution against the white men in

504
00:35:21,600 --> 00:35:23,880
Speaker 1: charge of ice and the border patrol.

505
00:35:24,000 --> 00:35:27,239
Speaker 7: This is time for revolution, It's time for it, and

506
00:35:27,239 --> 00:35:29,040
Speaker 7: they don't even know that's what they're starting. You know,

507
00:35:29,160 --> 00:35:33,520
Speaker 7: some very rich, old white men are exerting their power

508
00:35:34,000 --> 00:35:39,799
Speaker 7: to suppress our own people. Thus creating a feeling of

509
00:35:39,960 --> 00:35:44,800
Speaker 7: civil war in the streets, preparing the hate, the haters

510
00:35:44,840 --> 00:35:47,600
Speaker 7: to hate, teaching them how to shoot. They're not even

511
00:35:47,680 --> 00:35:50,719
Speaker 7: trained right to kill. This is all a preparation for

512
00:35:50,800 --> 00:35:56,640
Speaker 7: a very insidious problem that's happening in our world. And

513
00:35:56,719 --> 00:36:00,279
Speaker 7: for me, I have to speak out that we're we

514
00:36:00,800 --> 00:36:02,200
Speaker 7: will not be iced out.

515
00:36:03,040 --> 00:36:05,920
Speaker 1: This is not going to happen. They can't take us

516
00:36:05,960 --> 00:36:06,359
Speaker 1: all down.

517
00:36:07,000 --> 00:36:10,799
Speaker 7: If the whole world showed up on Putin's doorstep, or

518
00:36:10,800 --> 00:36:14,800
Speaker 7: on the iranians doorstep, or in Washington, it would They'll

519
00:36:14,880 --> 00:36:18,440
Speaker 7: kill a five hundred and fifty million, however, but the

520
00:36:18,480 --> 00:36:21,759
Speaker 7: rest of us would survive with a new Yeah, this

521
00:36:21,800 --> 00:36:25,000
Speaker 7: is time for revolution. It's time for it, and they

522
00:36:25,000 --> 00:36:26,320
Speaker 7: don't even know that's what they're starting.

523
00:36:27,320 --> 00:36:31,640
Speaker 1: You notice that John Carlow would not have been one

524
00:36:31,680 --> 00:36:35,239
Speaker 1: of the fifty million killed by Putin or the Iranians

525
00:36:35,400 --> 00:36:40,239
Speaker 1: or presumably Trump. Yeah, yeah, a bunch of people would die.

526
00:36:40,480 --> 00:36:47,360
Speaker 1: The rest of us we'd continue the revolution. In film,

527
00:36:47,760 --> 00:36:52,440
Speaker 1: the revolution will be televised by John Carlow. Could someone

528
00:36:52,480 --> 00:36:56,960
Speaker 1: also tell him that Hispanics make up about twenty percent

529
00:36:57,080 --> 00:37:01,280
Speaker 1: of the American population, They make up roughly fifty percent

530
00:37:01,560 --> 00:37:04,160
Speaker 1: of the Border Patrol in this country, and they make

531
00:37:04,280 --> 00:37:08,640
Speaker 1: up roughly thirty three percent of all ICE agents in

532
00:37:08,680 --> 00:37:13,359
Speaker 1: this country. It is not the white men controlling this agency.

533
00:37:13,480 --> 00:37:17,640
Speaker 1: He would be rising up against the very Hispanics that

534
00:37:17,719 --> 00:37:25,320
Speaker 1: he claims to be protecting. Gian Carlo Esposito, your unhinged

535
00:37:25,520 --> 00:37:29,280
Speaker 1: liberal of the day, And yes, for those of you asking,

536
00:37:29,320 --> 00:37:31,200
Speaker 1: A lot of people have texted me, Dan, did you

537
00:37:31,239 --> 00:37:37,000
Speaker 1: hear the new Bruce Springsteen song about Minneapolis? I honestly

538
00:37:37,080 --> 00:37:40,480
Speaker 1: thought when I first heard it that it was a

539
00:37:40,600 --> 00:37:45,400
Speaker 1: Bruce Springsteen ai that some random person had put together.

540
00:37:45,480 --> 00:37:48,440
Speaker 1: It is that amateurish and bad. If we have time,

541
00:37:48,480 --> 00:37:50,600
Speaker 1: I'll play a little bit for you and make fun

542
00:37:50,640 --> 00:37:52,759
Speaker 1: of it. Daily Trump Day coming up next here on

543
00:37:52,800 --> 00:37:58,960
Speaker 1: the Dan o'donald show. Welcome Back Dan o'donald's show, Conservative

544
00:37:59,239 --> 00:38:05,120
Speaker 1: Thought not just talk coming up? Was it a kid

545
00:38:05,200 --> 00:38:09,680
Speaker 1: who was doing a prank? Was it a message about

546
00:38:09,800 --> 00:38:15,160
Speaker 1: ICE agents? Why was there a swastika in a picture

547
00:38:15,200 --> 00:38:18,680
Speaker 1: that the Journal Sentinel actually used for one of the

548
00:38:18,880 --> 00:38:25,160
Speaker 1: ice out student walkout protests in Southeast Wisconsin a couple

549
00:38:25,160 --> 00:38:27,600
Speaker 1: of days ago. We will get to that coming up

550
00:38:27,640 --> 00:38:29,840
Speaker 1: in just a second. Right now, though, it is time

551
00:38:29,920 --> 00:38:31,239
Speaker 1: for the daily Trump day.

552
00:38:32,200 --> 00:38:35,040
Speaker 2: We're gonna win so much, you may even get tired

553
00:38:35,080 --> 00:38:35,520
Speaker 2: of winning.

554
00:38:35,560 --> 00:38:38,600
Speaker 1: Trump just keeps winning. It is a win for the administration.

555
00:38:38,840 --> 00:38:42,120
Speaker 1: It's also a big win for the United States. We

556
00:38:42,200 --> 00:38:45,120
Speaker 1: have to keep winning. We have to win more. We're

557
00:38:45,160 --> 00:38:49,520
Speaker 1: gonna win Moore. President Trump this morning holding the very

558
00:38:49,560 --> 00:38:53,200
Speaker 1: first cabinet meeting of his second year in office and

559
00:38:53,320 --> 00:38:56,759
Speaker 1: saying the first year was the best first year any

560
00:38:56,840 --> 00:38:59,720
Speaker 1: president has ever had ever.

561
00:39:00,239 --> 00:39:02,840
Speaker 2: I think, and a lot of people say it the

562
00:39:02,880 --> 00:39:06,680
Speaker 2: most successful year of any administration in American history. The

563
00:39:06,760 --> 00:39:09,200
Speaker 2: first year has ever been the first year like this,

564
00:39:09,320 --> 00:39:12,240
Speaker 2: including the fact that we put out extinguished eight wars

565
00:39:12,800 --> 00:39:17,080
Speaker 2: and another one we think is coming. Steve Whitcuff's working

566
00:39:17,160 --> 00:39:19,680
Speaker 2: very hard, and Jared and everybody else, and I think

567
00:39:19,680 --> 00:39:23,160
Speaker 2: it's coming. It was just announced that the murder rate

568
00:39:23,760 --> 00:39:27,359
Speaker 2: in our country is the biggest drop ever recorded. It's

569
00:39:27,400 --> 00:39:29,760
Speaker 2: at the lowest level in one hundred and twenty five years,

570
00:39:29,800 --> 00:39:32,879
Speaker 2: first in recorded history, it's the lowest in at least

571
00:39:32,920 --> 00:39:36,160
Speaker 2: one hundred and twenty five years. It's a wonderful thing.

572
00:39:36,680 --> 00:39:38,520
Speaker 2: And their crime is weighed down. And one of the

573
00:39:38,560 --> 00:39:41,480
Speaker 2: reasons is we've taken a lot of bad people and

574
00:39:41,520 --> 00:39:44,319
Speaker 2: gotten them out of our country. In some cases they're

575
00:39:44,360 --> 00:39:46,120
Speaker 2: so bad that we put them in prison because we

576
00:39:46,120 --> 00:39:48,840
Speaker 2: don't want them to even take a chance of coming

577
00:39:48,880 --> 00:39:52,000
Speaker 2: back in. Even though our voter is very secure, record

578
00:39:52,040 --> 00:39:58,799
Speaker 2: setting secure, we had zero illegal aliens being admitted into

579
00:39:58,800 --> 00:40:02,000
Speaker 2: our country for the last eight months. That's hard for

580
00:40:02,040 --> 00:40:04,600
Speaker 2: even meet to believe. But the people that make up

581
00:40:04,600 --> 00:40:08,080
Speaker 2: the lists are supposedly nonpartisan, but I would say they

582
00:40:08,239 --> 00:40:11,920
Speaker 2: lean toward the Democrat side, and they say that I'm

583
00:40:12,040 --> 00:40:13,960
Speaker 2: all for it.

584
00:40:14,960 --> 00:40:19,160
Speaker 1: Vinditch Trump. He of course, also touted his economic successes

585
00:40:19,239 --> 00:40:23,680
Speaker 1: heart from cabinet secretaries, including his Treasury Secretary Scott Presson,

586
00:40:24,000 --> 00:40:28,920
Speaker 1: who touted his Trump accounts thousand dollars in the hands

587
00:40:28,960 --> 00:40:33,040
Speaker 1: of newborn babies that will accrue interest and invest in

588
00:40:33,080 --> 00:40:36,120
Speaker 1: the American stock market could be worth millions by the

589
00:40:36,200 --> 00:40:40,280
Speaker 1: time the baby is thirty forty years old. Also talking

590
00:40:40,320 --> 00:40:42,920
Speaker 1: about the stock market hitting seven thousand, the S and

591
00:40:42,960 --> 00:40:46,360
Speaker 1: P five hundred for the very first time just yesterday,

592
00:40:46,400 --> 00:40:50,120
Speaker 1: and of course the President was railing on the market

593
00:40:50,320 --> 00:40:55,920
Speaker 1: killing momentum, the momentum killing announcement by Federal Reserve Chairman

594
00:40:56,160 --> 00:40:59,759
Speaker 1: Jerome Powell. Now Powell is going to be out as

595
00:41:00,000 --> 00:41:02,400
Speaker 1: airman of the Board. It is still an open question

596
00:41:02,560 --> 00:41:04,680
Speaker 1: as to whether he is going to stay on as

597
00:41:04,880 --> 00:41:09,480
Speaker 1: a governor of the FED. Three federal Reserve governors, all

598
00:41:09,520 --> 00:41:14,200
Speaker 1: appointed by Trump, all dissented from Powell's decision yesterday not

599
00:41:14,760 --> 00:41:19,040
Speaker 1: to lower interest rates. This morning in Minneapolis, Borders Are

600
00:41:19,280 --> 00:41:24,200
Speaker 1: Tom Homan called out politicians who he says are making

601
00:41:24,239 --> 00:41:27,839
Speaker 1: it far more difficult for law enforcement officers to do

602
00:41:27,920 --> 00:41:28,359
Speaker 1: their jobs.

603
00:41:28,560 --> 00:41:31,479
Speaker 8: Were they in the last four years when the number

604
00:41:31,520 --> 00:41:33,759
Speaker 8: of women children's second traffick went all the time high?

605
00:41:34,360 --> 00:41:37,080
Speaker 8: Where were they when a quarterminion Americans back in Fatanyl

606
00:41:37,120 --> 00:41:43,320
Speaker 8: from across the border. Where were they when women and

607
00:41:43,400 --> 00:41:50,160
Speaker 8: children are dyningmaking that journey? Where were they were filed

608
00:41:50,200 --> 00:41:52,960
Speaker 8: for fourth over four thousand anilies making that journey died

609
00:41:53,080 --> 00:41:53,760
Speaker 8: historic record?

610
00:41:54,760 --> 00:41:56,880
Speaker 1: Where were they? Not a word?

611
00:41:58,000 --> 00:41:59,920
Speaker 8: Now, We're just trying to respond to what happened on

612
00:42:00,080 --> 00:42:04,759
Speaker 8: four years and keep this country safe. And where rust

613
00:42:04,800 --> 00:42:06,480
Speaker 8: a lot of public safety thrust t from off the

614
00:42:06,480 --> 00:42:09,719
Speaker 8: streets was make this country safer? Put Trump prounbs make

615
00:42:09,760 --> 00:42:10,960
Speaker 8: this country safe again.

616
00:42:12,719 --> 00:42:16,960
Speaker 1: And Homan said that's exactly what he and his agents

617
00:42:17,000 --> 00:42:21,600
Speaker 1: are doing now. Homan did meet with Minneapolis Mayor Jacob Frye,

618
00:42:21,840 --> 00:42:25,560
Speaker 1: who initially, it seems, agreed to some of the Trump

619
00:42:25,600 --> 00:42:31,600
Speaker 1: administration's requests slash demands to lower the federal presence in Minneapolis,

620
00:42:31,880 --> 00:42:36,120
Speaker 1: but has been publicly still keeping up the rhetoric that

621
00:42:36,280 --> 00:42:41,560
Speaker 1: Homan calls dangerous and irresponsible and has led to two

622
00:42:41,600 --> 00:42:43,840
Speaker 1: people in Minneapolis now getting killed.

623
00:42:44,040 --> 00:42:48,480
Speaker 8: Begged for the last two months on TV put a

624
00:42:48,560 --> 00:42:52,680
Speaker 8: right to stop. I said in March. The rhetoric didn't stop.

625
00:42:52,960 --> 00:42:56,360
Speaker 8: There's going to be a bloodshed, and there has been.

626
00:42:58,960 --> 00:43:04,960
Speaker 8: I wish that wasn't right. I don't want to see

627
00:43:04,960 --> 00:43:05,560
Speaker 8: anybody die.

628
00:43:07,800 --> 00:43:08,640
Speaker 1: Not officers.

629
00:43:09,760 --> 00:43:12,560
Speaker 8: I'm members of the community are not the targets of

630
00:43:12,600 --> 00:43:17,080
Speaker 8: our operations.

631
00:43:18,400 --> 00:43:20,399
Speaker 1: But the people out there don't like what I was doing.

632
00:43:21,719 --> 00:43:23,840
Speaker 8: If you want certain laws reformed, and take it up

633
00:43:23,880 --> 00:43:27,560
Speaker 8: with Congress again, Ice is making this up there enforcing

634
00:43:27,640 --> 00:43:30,000
Speaker 8: laws and acted by Congress and signed by President. The

635
00:43:30,000 --> 00:43:33,600
Speaker 8: same laws have been on the books for the last

636
00:43:33,600 --> 00:43:36,880
Speaker 8: six presidents I worked for. I started with the President

637
00:43:37,000 --> 00:43:42,880
Speaker 8: Reagan and anything with President Trump. Every administration we enforced

638
00:43:42,880 --> 00:43:43,759
Speaker 8: the same laws.

639
00:43:44,280 --> 00:43:48,680
Speaker 1: That is actually an excellent point. In fact, the Obama

640
00:43:48,840 --> 00:43:54,080
Speaker 1: administration was bragging about the number of deportations conducted in

641
00:43:54,120 --> 00:43:56,719
Speaker 1: the eight years Obama was president. There was not a

642
00:43:56,760 --> 00:43:59,720
Speaker 1: single protest, not a single riot, not a single ice

643
00:43:59,760 --> 00:44:06,200
Speaker 1: age spat upon. There were millions of deportations under George W. Bush. Again,

644
00:44:06,360 --> 00:44:11,080
Speaker 1: zero protests, zero riots. Bill Clinton, same thing. Even Joe Biden.

645
00:44:11,480 --> 00:44:17,160
Speaker 1: There were actually a couple million deportations under the Biden administration.

646
00:44:17,680 --> 00:44:25,080
Speaker 1: Guess what, zero protests or riots. It also, folks, has

647
00:44:25,120 --> 00:44:30,120
Speaker 1: not escaped my notice that we have over the past decade,

648
00:44:30,280 --> 00:44:34,160
Speaker 1: only had four years in which there were no riots

649
00:44:34,520 --> 00:44:37,880
Speaker 1: in the United States. Those just happened to be the

650
00:44:37,880 --> 00:44:41,160
Speaker 1: four years that Joe Biden was president. This is now

651
00:44:41,280 --> 00:44:44,760
Speaker 1: a tactic of the left. We're just going to have riots.

652
00:44:44,800 --> 00:44:47,920
Speaker 1: We're just going to have violent uprisings every time there

653
00:44:48,000 --> 00:44:51,080
Speaker 1: is a Republican president. And you could actually see this

654
00:44:51,239 --> 00:44:55,200
Speaker 1: being telegraphed the very first week that Trump was in

655
00:44:55,239 --> 00:44:59,359
Speaker 1: office in twenty seventeen, week one, week two, something like that.

656
00:44:59,400 --> 00:45:03,239
Speaker 1: What are the very very first major policy pushes by

657
00:45:03,280 --> 00:45:06,279
Speaker 1: the Trump administration? Do you know what it was? You

658
00:45:06,320 --> 00:45:11,759
Speaker 1: remember it was nine years ago, now, that's right, the

659
00:45:11,920 --> 00:45:17,520
Speaker 1: so called Muslim travel ban. Would you believe there were

660
00:45:17,640 --> 00:45:23,919
Speaker 1: protests across the country that were paid for, organized highly coordinated,

661
00:45:24,280 --> 00:45:27,360
Speaker 1: and they were just waiting. They were literally waiting for

662
00:45:27,520 --> 00:45:31,280
Speaker 1: the first Trump policy that they thought would be actionable.

663
00:45:31,320 --> 00:45:34,040
Speaker 1: It turned out to be the so called Muslim travel ban,

664
00:45:34,640 --> 00:45:39,000
Speaker 1: a ban on travel from and visas from and immigration

665
00:45:39,200 --> 00:45:43,000
Speaker 1: from countries which were not cooperating with the United States

666
00:45:43,080 --> 00:45:48,640
Speaker 1: on vetting people coming into this country. They're from terror hotbeds.

667
00:45:49,440 --> 00:45:52,400
Speaker 1: It makes all the sense in the world that we

668
00:45:52,480 --> 00:45:56,120
Speaker 1: would need to secure better cooperation on vetting from the

669
00:45:56,200 --> 00:45:59,919
Speaker 1: host nations before we let people who could be terror

670
00:46:00,080 --> 00:46:03,600
Speaker 1: rists into this country. Cold hard cash contest word this

671
00:46:03,719 --> 00:46:08,720
Speaker 1: hour money money money. You have got until four fifty

672
00:46:08,760 --> 00:46:11,120
Speaker 1: five to go to our website. Enter the keyword money

673
00:46:11,160 --> 00:46:14,399
Speaker 1: to enter the contest for this hour. If your entry

674
00:46:14,440 --> 00:46:21,080
Speaker 1: has picked at random, thousand dollars in cash, money UH

675
00:46:21,239 --> 00:46:29,800
Speaker 1: for you. Courtesy of iHeart Media. A student, it seems,

676
00:46:30,080 --> 00:46:36,360
Speaker 1: participating in Whitefish Bay High School's ice out protest a

677
00:46:36,400 --> 00:46:43,080
Speaker 1: couple of days ago. This was I believe yesterday. Milwaukee

678
00:46:43,120 --> 00:46:46,879
Speaker 1: Journal Sentinel posted the picture yesterday on its official at

679
00:46:47,040 --> 00:46:52,120
Speaker 1: Journal Sentinel Instagram page, along with a number of pictures

680
00:46:52,160 --> 00:46:58,400
Speaker 1: from the Whitefish Bay walkout. It shows several dozen kids

681
00:46:58,920 --> 00:47:01,759
Speaker 1: holding up signs and standing on what appears to be

682
00:47:01,800 --> 00:47:06,640
Speaker 1: the front steps of Whitefish Bay High School. Some of

683
00:47:06,640 --> 00:47:12,800
Speaker 1: the signs say turn up the heat, melt the ice,

684
00:47:13,560 --> 00:47:20,239
Speaker 1: love melts ice. Fire is catching. I can't see some

685
00:47:20,280 --> 00:47:24,359
Speaker 1: of these other ones in the back though. And if

686
00:47:24,400 --> 00:47:27,080
Speaker 1: you go to my social media at nan O'Donnell's show

687
00:47:27,080 --> 00:47:31,840
Speaker 1: on X on Facebook and on Instagram, I've got it circled.

688
00:47:32,480 --> 00:47:37,680
Speaker 1: In the back. Right next to the love Melts ice sign,

689
00:47:39,160 --> 00:47:43,480
Speaker 1: there's a kid very clearly holding up a swastika. It

690
00:47:43,600 --> 00:47:49,759
Speaker 1: is a black swastika on white paper. Now, I have

691
00:47:49,960 --> 00:47:53,759
Speaker 1: absolutely no idea who this kid is. I'm assuming it's

692
00:47:53,760 --> 00:47:56,440
Speaker 1: a kid. It could very well be a staff member.

693
00:47:56,480 --> 00:47:59,320
Speaker 1: I would doubt it. Since these all appear to be students,

694
00:47:59,480 --> 00:48:01,000
Speaker 1: I'm going to take a wild guess that this is

695
00:48:01,000 --> 00:48:05,200
Speaker 1: a student. All you can see is a hand. It's

696
00:48:05,440 --> 00:48:10,319
Speaker 1: a white student with a black shirt or jacket or sweatshirt,

697
00:48:11,040 --> 00:48:13,640
Speaker 1: and it appears that this student is wearing some sort

698
00:48:13,680 --> 00:48:15,719
Speaker 1: of bracelet or watch. That's all you can You could

699
00:48:15,800 --> 00:48:19,640
Speaker 1: literally just see a hand. It is a small sign,

700
00:48:21,200 --> 00:48:28,000
Speaker 1: but it is a swastika, white paper, black swastika. I'm

701
00:48:28,000 --> 00:48:31,000
Speaker 1: not going to pretend I know what the meaning of this.

702
00:48:31,680 --> 00:48:35,600
Speaker 1: I mean I've obviously I know the meaning of a swastika, Okay,

703
00:48:36,000 --> 00:48:41,280
Speaker 1: I understand in the context of the last hundred years

704
00:48:41,320 --> 00:48:45,200
Speaker 1: of human events what a swastika means and the people

705
00:48:45,200 --> 00:48:48,719
Speaker 1: who use the swastika as their silviol I'm saying in

706
00:48:48,760 --> 00:48:53,719
Speaker 1: the context here, was it a kid who in one

707
00:48:53,719 --> 00:48:57,759
Speaker 1: of the most Jewish communities in Wisconsin? And this is

708
00:48:57,840 --> 00:49:02,120
Speaker 1: some pretty critical context here. Whitefish Bay is a very

709
00:49:02,160 --> 00:49:07,759
Speaker 1: heavily Jewish community. It is therefore a bit different to

710
00:49:07,960 --> 00:49:12,719
Speaker 1: hold up a swastika there than perhaps someone else somewhere else.

711
00:49:12,920 --> 00:49:16,440
Speaker 1: Is this a sign, a symbol that is aimed at

712
00:49:16,480 --> 00:49:23,840
Speaker 1: the Jewish community of Whitefish Bay? Possibly? Is it a

713
00:49:24,120 --> 00:49:28,399
Speaker 1: sign indicating that ice agents who are being protested are

714
00:49:28,640 --> 00:49:32,520
Speaker 1: just like the Nazis? Is it a kid who is

715
00:49:32,840 --> 00:49:39,439
Speaker 1: trolling the protests by either putting up the most ridiculous

716
00:49:39,520 --> 00:49:42,680
Speaker 1: sign that he or she can find, or trying to

717
00:49:42,760 --> 00:49:47,399
Speaker 1: intentionally sabotage this picture by putting up a swastika sign.

718
00:49:47,760 --> 00:49:51,520
Speaker 1: I have no idea. I have a screencap of this

719
00:49:52,480 --> 00:49:56,120
Speaker 1: at my social media because I am just taking a

720
00:49:56,160 --> 00:49:59,560
Speaker 1: wild guess, and yes, the Journal Sentinel had it up.

721
00:49:59,600 --> 00:50:04,200
Speaker 1: I gets and tee. Nobody at the Milwaukee Journal Sentinels

722
00:50:04,520 --> 00:50:08,239
Speaker 1: social media team saw this swastika. I'm just going to

723
00:50:08,320 --> 00:50:12,240
Speaker 1: take a guess that it was completely oversight. They slipped

724
00:50:12,239 --> 00:50:17,080
Speaker 1: one past the goalie here, and nobody intended at the

725
00:50:17,120 --> 00:50:20,600
Speaker 1: Milwaukee I'm very critical of the Milwaukee Journal Sentinel. I'm

726
00:50:20,600 --> 00:50:23,040
Speaker 1: going to take a wild guess they don't have actual

727
00:50:23,280 --> 00:50:28,640
Speaker 1: Nazis in their social media team looking to subliminally place

728
00:50:28,719 --> 00:50:33,400
Speaker 1: these images. Now, did you notice? Did you notice how

729
00:50:33,440 --> 00:50:35,520
Speaker 1: I'm giving the Journal Sentinel the benefit of the doubt.

730
00:50:36,000 --> 00:50:40,040
Speaker 1: Do you think every Milwaukee Journal Sentinel employee would say

731
00:50:40,040 --> 00:50:43,080
Speaker 1: the same thing about Dan o'donald, Yes, clearly he's not

732
00:50:43,360 --> 00:50:46,759
Speaker 1: actually a Nazi, Or would some of them be like, yeah,

733
00:50:46,800 --> 00:50:50,480
Speaker 1: that Dan o'donnald's clearly a Nazi. I think it's probably

734
00:50:50,520 --> 00:50:54,840
Speaker 1: the latter, in spite of the lack of grace that

735
00:50:54,840 --> 00:50:58,640
Speaker 1: that same publication would ever show me. I'm going to

736
00:50:58,680 --> 00:51:01,240
Speaker 1: show them a little great since say, look, they didn't

737
00:51:01,320 --> 00:51:04,439
Speaker 1: intend for this to be out there. I guess I'm

738
00:51:04,520 --> 00:51:11,680
Speaker 1: just a little perplexed and slightly amused, because one thing

739
00:51:11,760 --> 00:51:14,160
Speaker 1: that we have seen in a whole lot of these

740
00:51:14,200 --> 00:51:17,799
Speaker 1: protests is, of course the comparisons to the Nazis. The

741
00:51:17,840 --> 00:51:21,080
Speaker 1: comparisons to Hitler, the comparisons to the brown Shirts, the SS,

742
00:51:22,160 --> 00:51:25,839
Speaker 1: and pretty much everything Nazi Germany, proving once again that

743
00:51:25,920 --> 00:51:30,960
Speaker 1: liberals have absolutely no imagination none. The only comparisons that

744
00:51:31,000 --> 00:51:34,320
Speaker 1: they can ever make are two Nazis or Harry Potter.

745
00:51:35,000 --> 00:51:38,000
Speaker 1: Trump is either Hitler or he is Voldemort, and I

746
00:51:38,040 --> 00:51:41,920
Speaker 1: am telling you there is not another thing that a

747
00:51:42,160 --> 00:51:46,360
Speaker 1: twenty five to thirty five year old, white female liberal

748
00:51:46,600 --> 00:51:49,399
Speaker 1: can ever compare him to. Trust me, I have gone

749
00:51:49,480 --> 00:51:53,600
Speaker 1: through enough of their TikTok videos and enough of them

750
00:51:53,640 --> 00:51:57,560
Speaker 1: are now commenting on my Facebook page to know that

751
00:51:57,640 --> 00:52:04,120
Speaker 1: they lack imagination. So I would love it if Whitefish

752
00:52:04,200 --> 00:52:07,319
Speaker 1: Bay School District would get to the bottom of this

753
00:52:07,840 --> 00:52:10,520
Speaker 1: and get back to me. Let me know what are

754
00:52:10,560 --> 00:52:15,480
Speaker 1: we doing here about the Nazi imagery in your student

755
00:52:15,680 --> 00:52:20,760
Speaker 1: walkout protests that you are undoubtedly so proud of. Earlier

756
00:52:20,880 --> 00:52:23,200
Speaker 1: this week, you're listening to the Dan o'donald's show, a

757
00:52:23,280 --> 00:52:26,560
Speaker 1: Tour de Force of Truth. We'll be right back to it.

758
00:52:30,440 --> 00:52:35,960
Speaker 1: So we've got Whitman Middle School walking out and showing

759
00:52:36,160 --> 00:52:41,719
Speaker 1: the video of Alex pretty getting killed instead of you know,

760
00:52:41,800 --> 00:52:45,719
Speaker 1: actually learning. We've got parents saying, hey, you've got teachers

761
00:52:45,800 --> 00:52:48,759
Speaker 1: telling kids, why don't you write a letter to the

762
00:52:48,840 --> 00:52:53,440
Speaker 1: mayor Walwatosa Mayor Dennis McBride. Yes, I'm sure he would

763
00:52:53,520 --> 00:52:59,080
Speaker 1: love to get all of these emails from kids talking

764
00:52:59,120 --> 00:53:03,440
Speaker 1: about anti ice nonsense, or write a letter to Congress

765
00:53:04,239 --> 00:53:07,719
Speaker 1: expressing anti ice propaganda. A number of parents reached out

766
00:53:07,760 --> 00:53:11,359
Speaker 1: to me saying that they did not feel comfortable with

767
00:53:11,440 --> 00:53:14,000
Speaker 1: their kids being a part of all of this. And

768
00:53:14,040 --> 00:53:17,360
Speaker 1: then you've got Whitefish Bay High School kids holding up

769
00:53:17,440 --> 00:53:23,279
Speaker 1: a swastika during their ice out demonstration. Not only that,

770
00:53:24,120 --> 00:53:27,600
Speaker 1: you've got the school board president up in Green Bay

771
00:53:27,719 --> 00:53:32,560
Speaker 1: who happens to be married to doctor Christen Liarly, the

772
00:53:32,600 --> 00:53:35,920
Speaker 1: woman who started the false rumor that Ice was booking

773
00:53:36,040 --> 00:53:39,640
Speaker 1: hundreds of hotel rooms at the Hilton Hotel in Milwaukee.

774
00:53:40,160 --> 00:53:45,080
Speaker 1: James Liarley saying, Alex Pretty is precisely the type of

775
00:53:45,200 --> 00:53:48,000
Speaker 1: guy that we want our students to grow up and

776
00:53:48,120 --> 00:53:52,719
Speaker 1: be like. You know, I'm starting to see a problem

777
00:53:52,880 --> 00:53:59,040
Speaker 1: here with education in Wisconsin. What do you notice? These

778
00:53:59,080 --> 00:54:02,960
Speaker 1: are three of the most liberal school districts in the

779
00:54:03,200 --> 00:54:09,120
Speaker 1: entire state. Folks, When parents accept this sort of behavior

780
00:54:09,800 --> 00:54:13,880
Speaker 1: from school administrators and teachers, you get this sort of

781
00:54:13,920 --> 00:54:19,880
Speaker 1: behavior from school administrators and teachers. I'll bet you every

782
00:54:19,960 --> 00:54:23,840
Speaker 1: single one of those school districts was among the school

783
00:54:23,840 --> 00:54:27,400
Speaker 1: districts that wrote this big letter to the state legislature saying,

784
00:54:27,680 --> 00:54:31,480
Speaker 1: we just can't keep up. We need more funding because

785
00:54:31,840 --> 00:54:36,120
Speaker 1: student enrollment has declined. Are you ready for this? Student

786
00:54:36,239 --> 00:54:39,440
Speaker 1: enrollment has declined across the state, really across the country.

787
00:54:39,640 --> 00:54:42,640
Speaker 1: And this is a function, Nacha. They love to blame

788
00:54:42,680 --> 00:54:45,960
Speaker 1: the Catholic schools, the charter schools, they love to blame

789
00:54:46,000 --> 00:54:49,959
Speaker 1: school choice. It's actually not. This is a broader societal

790
00:54:50,200 --> 00:54:54,160
Speaker 1: trend that my generation and the generation below, mind, the

791
00:54:54,200 --> 00:54:59,640
Speaker 1: millennials and the Generation Z and Generation Alpha. Hopefully the

792
00:54:59,680 --> 00:55:03,080
Speaker 1: Alpha aren't quite old enough to start having kids yet,

793
00:55:03,440 --> 00:55:07,239
Speaker 1: but none of us are having kids in anywhere near

794
00:55:07,360 --> 00:55:11,080
Speaker 1: the numbers of the greatest generation. This really started with

795
00:55:11,239 --> 00:55:14,239
Speaker 1: the Baby boomers. Really, you can, and I know I

796
00:55:14,239 --> 00:55:16,960
Speaker 1: pick on the Boomer libs quite a bit, primarily because

797
00:55:17,120 --> 00:55:23,240
Speaker 1: it's fun, but you actually can point to the point

798
00:55:23,320 --> 00:55:30,600
Speaker 1: in civilization where we really stopped having four or five

799
00:55:30,880 --> 00:55:34,440
Speaker 1: six children being the norm, and going to two or

800
00:55:34,560 --> 00:55:38,520
Speaker 1: three kids and four children in a family now being

801
00:55:38,560 --> 00:55:43,799
Speaker 1: considered an exceptionally large family. I have three children. My

802
00:55:43,920 --> 00:55:50,160
Speaker 1: wife and I did our part each woman, and every

803
00:55:50,160 --> 00:55:53,880
Speaker 1: time I explain this, I get questions about it. In

804
00:55:54,040 --> 00:55:59,480
Speaker 1: order to maintain replacement level berths, you need to have

805
00:55:59,560 --> 00:56:04,040
Speaker 1: two point point one children per woman, And how is

806
00:56:04,080 --> 00:56:07,880
Speaker 1: that possible? It's an average genius. So my wife and

807
00:56:07,920 --> 00:56:10,680
Speaker 1: I did our part. Why two point one one father,

808
00:56:10,800 --> 00:56:13,640
Speaker 1: one mother lives. You are going to get a science

809
00:56:13,719 --> 00:56:16,040
Speaker 1: lesson too. See, when a man loves a woman very much,

810
00:56:17,360 --> 00:56:20,480
Speaker 1: they must both be cisgender. Only the woman can get pregnant.

811
00:56:20,520 --> 00:56:23,240
Speaker 1: Say it with me, Only the woman can get pregnant.

812
00:56:23,400 --> 00:56:29,200
Speaker 1: Only the man can do the impregnating. But in order

813
00:56:29,239 --> 00:56:33,680
Speaker 1: to replace the parents who at some point, hopefully not

814
00:56:33,800 --> 00:56:37,399
Speaker 1: for a long long time, but will die, you need

815
00:56:37,440 --> 00:56:42,600
Speaker 1: to have two point one children per woman. Why per woman?

816
00:56:42,920 --> 00:56:46,680
Speaker 1: Because men can obviously impregnant in any event. In any event,

817
00:56:48,080 --> 00:56:52,400
Speaker 1: we are well below the replacement level now for births,

818
00:56:52,440 --> 00:56:55,480
Speaker 1: and this is actually a big reason. This ties into

819
00:56:55,719 --> 00:57:00,320
Speaker 1: why Democrats at least pretend to want to have unfnd

820
00:57:00,400 --> 00:57:05,160
Speaker 1: immigration across borders. Weirdly enough, though it's only immigration from

821
00:57:05,200 --> 00:57:08,960
Speaker 1: the Third World, we don't seem to want any more

822
00:57:09,000 --> 00:57:13,279
Speaker 1: immigration from like Italy or Germany. Seems like we got

823
00:57:13,400 --> 00:57:16,840
Speaker 1: enough Germans here in the United States. No, no, no, no, no.

824
00:57:16,920 --> 00:57:20,439
Speaker 1: We need as many Hondurans as we can possibly get here.

825
00:57:20,720 --> 00:57:24,439
Speaker 1: Honduran doctors, Honduran engineers. Yeah, that'd be great. No no, no, no, nope.

826
00:57:24,920 --> 00:57:30,960
Speaker 1: Honduran criminals, Honduran day laborers, the lowest skilled, uneducated people

827
00:57:31,320 --> 00:57:34,160
Speaker 1: that you can possibly find. In fact, if you could

828
00:57:34,200 --> 00:57:37,080
Speaker 1: just give us a whole bunch of Honduran criminals, that

829
00:57:37,120 --> 00:57:42,280
Speaker 1: would actually be ideal. Democrats say that this is to

830
00:57:42,720 --> 00:57:48,320
Speaker 1: replace or augment the number of births that aren't happening. Really,

831
00:57:48,440 --> 00:57:52,360
Speaker 1: it is to provide them with a permanent, voting, dependent

832
00:57:52,600 --> 00:57:57,680
Speaker 1: class that they will be forever indebted to Democrats for

833
00:57:57,720 --> 00:58:00,760
Speaker 1: getting them to the United States. Discuss that in a

834
00:58:00,760 --> 00:58:04,880
Speaker 1: little bit greater depth. But all of these school districts

835
00:58:05,040 --> 00:58:08,680
Speaker 1: that are wasting valuable class time by having their kids

836
00:58:08,800 --> 00:58:11,960
Speaker 1: walk out and write letters to Congress about how much

837
00:58:12,000 --> 00:58:16,760
Speaker 1: they hate ice, they all signed on to this letter

838
00:58:16,800 --> 00:58:19,720
Speaker 1: saying we need to change the way that K twelve

839
00:58:19,880 --> 00:58:26,280
Speaker 1: education is funded because school enrollment is declining and we

840
00:58:26,440 --> 00:58:30,800
Speaker 1: need more and more money. Now, this seems awful counterintuitive

841
00:58:30,920 --> 00:58:34,720
Speaker 1: to me. If you have fewer children to educate, would

842
00:58:34,720 --> 00:58:39,200
Speaker 1: it not stand a reason that you would have fewer expenses,

843
00:58:39,440 --> 00:58:43,240
Speaker 1: that there would be fewer costs, that maybe you wouldn't

844
00:58:43,240 --> 00:58:46,520
Speaker 1: need quite as many teachers, maybe you wouldn't need quite

845
00:58:46,520 --> 00:58:55,920
Speaker 1: as many administrators, maybe you wouldn't need quite as many facilities. Naturally,

846
00:58:56,720 --> 00:59:01,640
Speaker 1: no one in education wants to confront this very harsh reality.

847
00:59:02,360 --> 00:59:08,120
Speaker 1: So now we get things like Governor evers four hundred

848
00:59:08,240 --> 00:59:14,200
Speaker 1: year veto, where school districts can simply increase the amount

849
00:59:14,200 --> 00:59:17,600
Speaker 1: of money per pupil that is spent without ever having

850
00:59:17,600 --> 00:59:20,600
Speaker 1: to go to referendum. That's what the four hundred year

851
00:59:20,680 --> 00:59:26,200
Speaker 1: veto did. Now Governor Evers has demanded now that legislative

852
00:59:26,200 --> 00:59:29,160
Speaker 1: Republicans go along with his one point three billion dollar

853
00:59:29,240 --> 00:59:34,480
Speaker 1: property tax relief proposal, just undo the four hundred year veto.

854
00:59:35,280 --> 00:59:40,760
Speaker 1: Just undo it. Force those school districts to go to referendum,

855
00:59:41,560 --> 00:59:46,680
Speaker 1: or as they're facing declining enrollment, as they're facing declining

856
00:59:46,840 --> 00:59:55,120
Speaker 1: state aid, force them to cut, force them to adapt.

857
00:59:55,440 --> 01:00:00,200
Speaker 1: Producer Eric, as you walk the halls of iHeartRadio, are

858
01:00:00,280 --> 01:00:03,960
Speaker 1: there nearly as many people in this building as there

859
01:00:03,960 --> 01:00:09,920
Speaker 1: were a decade ago? Sixty percent less minimum, maybe seventy

860
01:00:09,960 --> 01:00:15,040
Speaker 1: five percent less. A lot of very good, very talented

861
01:00:15,120 --> 01:00:18,840
Speaker 1: people are no longer in the radio business because the

862
01:00:18,920 --> 01:00:23,600
Speaker 1: radio business is changing. There's a whole lot of competition

863
01:00:24,680 --> 01:00:31,520
Speaker 1: from podcasts, from video streaming. From all of this, I

864
01:00:31,560 --> 01:00:34,040
Speaker 1: actually thought one of the most brilliant things our company did.

865
01:00:34,080 --> 01:00:37,800
Speaker 1: Did you see our partnership with Netflix. You can now

866
01:00:37,880 --> 01:00:41,800
Speaker 1: watch some of the big time podcasts like Charlemagne the

867
01:00:41,840 --> 01:00:44,840
Speaker 1: God what is his show? The Breakfast Club I think

868
01:00:44,880 --> 01:00:47,560
Speaker 1: we're doing Last Murder on the Left, and some of

869
01:00:47,600 --> 01:00:50,000
Speaker 1: the other big podcasts you can actually watch them on Netflix.

870
01:00:50,000 --> 01:00:55,480
Speaker 1: I think the genius idea genius idea get revenue from Netflix,

871
01:00:55,920 --> 01:00:59,240
Speaker 1: they get content. We get our shows out there to

872
01:00:59,280 --> 01:01:02,720
Speaker 1: a totally new audience. You get advertised. It was a

873
01:01:02,720 --> 01:01:07,240
Speaker 1: smart move. But iHeart Radio I'll never forget when we

874
01:01:07,360 --> 01:01:11,400
Speaker 1: changed our name from Clear Channel Audio to iHeartRadio. Do

875
01:01:11,400 --> 01:01:14,240
Speaker 1: you know I'll never forget that because I had five

876
01:01:14,400 --> 01:01:19,480
Speaker 1: hundred business cards delivered the day before that said Dan

877
01:01:19,520 --> 01:01:23,440
Speaker 1: O'Donnell talk show host Clear Channel Radio. And then we

878
01:01:23,480 --> 01:01:27,080
Speaker 1: had an all staff meeting. We get our CEO on

879
01:01:27,320 --> 01:01:31,280
Speaker 1: a video conference, Hey, we're changing the company's name to iHeartMedia.

880
01:01:31,320 --> 01:01:34,000
Speaker 1: I'm like, ah, that's great. What am I going to do?

881
01:01:34,040 --> 01:01:37,000
Speaker 1: With five hundred Clear Channel business cards. That was the

882
01:01:37,040 --> 01:01:40,840
Speaker 1: last time I ever got business cards. Yeah. What I

883
01:01:40,880 --> 01:01:43,320
Speaker 1: tell people now is I'm about the easiest person in

884
01:01:43,360 --> 01:01:49,000
Speaker 1: the world to find my point being. The radio business,

885
01:01:49,080 --> 01:01:52,120
Speaker 1: just like every other business, has had to adapt. And yes,

886
01:01:52,840 --> 01:01:57,760
Speaker 1: we have had competition, just as public education has had

887
01:01:57,800 --> 01:02:03,000
Speaker 1: competition from charter schools and on private schools and homeschooling.

888
01:02:03,440 --> 01:02:06,919
Speaker 1: That is an issue, But the biggest issue is that

889
01:02:06,960 --> 01:02:11,120
Speaker 1: there simply aren't as many people who are listening to

890
01:02:11,160 --> 01:02:15,400
Speaker 1: our product. For schools, it's there's not as many children

891
01:02:15,520 --> 01:02:18,880
Speaker 1: being born. And for people who listen to the radio,

892
01:02:19,360 --> 01:02:23,320
Speaker 1: it's as people grow up into that age where hey,

893
01:02:23,680 --> 01:02:26,040
Speaker 1: I care about the world now, or I'm going to

894
01:02:26,040 --> 01:02:29,320
Speaker 1: start listening to you know, Taylor Swift. Where it is

895
01:02:29,440 --> 01:02:33,760
Speaker 1: kids they're listening to Spotify to get their Taylor Swift,

896
01:02:34,160 --> 01:02:39,840
Speaker 1: adults are listening to you know, Tucker Carlson's podcast. They're

897
01:02:39,880 --> 01:02:42,960
Speaker 1: not listening. They're not saying, Hey, I better tune in

898
01:02:43,000 --> 01:02:46,360
Speaker 1: at exactly three oh six so I can hear Dan O'Donnell.

899
01:02:47,080 --> 01:02:50,200
Speaker 1: This is why we make such a concerted effort to

900
01:02:50,600 --> 01:02:54,480
Speaker 1: do video, to post clips from this show constantly, to

901
01:02:55,120 --> 01:02:58,480
Speaker 1: constantly talk about the podcast. You could listen to us

902
01:02:58,560 --> 01:03:02,160
Speaker 1: at any time. It's because we have to adapt. You

903
01:03:02,200 --> 01:03:05,880
Speaker 1: don't adapt, you die, except, of course, you're in government,

904
01:03:06,400 --> 01:03:09,560
Speaker 1: and then you can just demand that you get more money,

905
01:03:09,720 --> 01:03:14,000
Speaker 1: or you can have the governor just soak taxpayers to

906
01:03:14,080 --> 01:03:19,360
Speaker 1: the tune of eighty million dollars every single year. You

907
01:03:19,400 --> 01:03:22,400
Speaker 1: saw how much your property tax bill went up by

908
01:03:22,720 --> 01:03:25,440
Speaker 1: this year, you better believe it's going to keep going

909
01:03:25,600 --> 01:03:31,080
Speaker 1: up because of this mindset from the very people behind

910
01:03:31,080 --> 01:03:34,720
Speaker 1: the walkouts in Whitefish Bay, behind the walkouts and in

911
01:03:34,920 --> 01:03:39,720
Speaker 1: Wahwatosis Schools, and the indoctrination at Wahwatosas Schools and MPs

912
01:03:39,760 --> 01:03:43,720
Speaker 1: and Madison Metropolitan and all the big school districts that

913
01:03:43,760 --> 01:03:48,240
Speaker 1: are tomorrow I'm sure going to allow. There's this big nationwide.

914
01:03:48,720 --> 01:03:50,960
Speaker 1: It's like a boycott day. I forget what the lefties

915
01:03:51,000 --> 01:03:53,880
Speaker 1: are calling it, but you're not supposed to go to work,

916
01:03:53,880 --> 01:03:55,840
Speaker 1: you're not supposed to go to school. I love this.

917
01:03:56,000 --> 01:03:59,480
Speaker 1: I love this. Lefties are going to protest by not

918
01:03:59,640 --> 01:04:03,360
Speaker 1: going to work. How is that different than any other

919
01:04:03,480 --> 01:04:07,880
Speaker 1: day I've first proved to me that you're employed, I'm

920
01:04:07,920 --> 01:04:10,800
Speaker 1: not going to work today. Well, wow, what's the special occasion,

921
01:04:10,920 --> 01:04:17,200
Speaker 1: Is it Wednesday? They're gonna not go to work? Yes, yes,

922
01:04:17,360 --> 01:04:20,760
Speaker 1: all of the goons who are spending their days chasing

923
01:04:20,800 --> 01:04:26,920
Speaker 1: around ice agents in Minneapolis. Yes, please please boycott your job,

924
01:04:27,000 --> 01:04:31,400
Speaker 1: which you are very obviously going to every day. Dan

925
01:04:31,480 --> 01:04:35,760
Speaker 1: O'Donnell's show, coming back in just a second. I touched

926
01:04:35,760 --> 01:04:38,480
Speaker 1: a little bit in that last segment on one of

927
01:04:38,560 --> 01:04:41,480
Speaker 1: the major issues facing the world, and that is the

928
01:04:41,600 --> 01:04:48,160
Speaker 1: dramatically declining birth rate across the globe. In nineteen sixty

929
01:04:48,840 --> 01:04:53,800
Speaker 1: there were five berths per woman. That means each woman

930
01:04:54,120 --> 01:04:59,160
Speaker 1: in nineteen sixty had an average of five children. In

931
01:04:59,240 --> 01:05:04,560
Speaker 1: twenty twenty three there were two point three. That is

932
01:05:04,600 --> 01:05:10,040
Speaker 1: a significant decline in just sixty three years, and there

933
01:05:10,120 --> 01:05:13,680
Speaker 1: is no single reason for it. And by the way,

934
01:05:14,560 --> 01:05:18,680
Speaker 1: the only countries that are keeping the birth rate above

935
01:05:18,720 --> 01:05:22,360
Speaker 1: what's known as replacement level two point one children for

936
01:05:22,520 --> 01:05:27,840
Speaker 1: every woman, it's the developing world, particularly Nigeria. Nigeria is

937
01:05:27,960 --> 01:05:31,760
Speaker 1: going to probably within the next decade or so, be

938
01:05:31,880 --> 01:05:37,840
Speaker 1: the second most populous country on earth, behind India. Here

939
01:05:37,840 --> 01:05:43,160
Speaker 1: in the United States, the birth rate is now one

940
01:05:43,240 --> 01:05:47,480
Speaker 1: point six births per woman. That's twenty twenty four data

941
01:05:47,480 --> 01:05:50,480
Speaker 1: from the CDC one point six. We are well below

942
01:05:50,520 --> 01:05:56,000
Speaker 1: we are half a baby short of replacement level, and

943
01:05:56,040 --> 01:06:00,400
Speaker 1: we're not alone throughout the developed world. In France, last

944
01:06:01,160 --> 01:06:05,160
Speaker 1: France recorded more deaths than births for the first time

945
01:06:05,240 --> 01:06:09,600
Speaker 1: since World War iiO. Obviously, during the Nazi occupation and

946
01:06:09,640 --> 01:06:12,800
Speaker 1: the resistance and fighting the war, there were more deaths

947
01:06:12,840 --> 01:06:16,240
Speaker 1: than births first time ever. There's no war in Europe,

948
01:06:16,960 --> 01:06:21,080
Speaker 1: it is just the population is getting older. Japan in

949
01:06:21,200 --> 01:06:24,880
Speaker 1: twenty twenty four recorded the lowest number of births in

950
01:06:24,960 --> 01:06:29,120
Speaker 1: one hundred and twenty five years since nineteen hundred. That

951
01:06:29,240 --> 01:06:32,320
Speaker 1: was the last time the birth rate was this low.

952
01:06:32,440 --> 01:06:38,600
Speaker 1: In China, China now has a total fertility rate one

953
01:06:38,920 --> 01:06:44,640
Speaker 1: point zero birth per woman. This is reflective of China's

954
01:06:44,680 --> 01:06:49,120
Speaker 1: long standing one child policy, which was rescinded some years ago.

955
01:06:49,600 --> 01:06:53,480
Speaker 1: But China, pretty much the entire Asian world has a

956
01:06:53,720 --> 01:06:58,320
Speaker 1: very low birth rate, historically low South Korea zero point

957
01:06:58,360 --> 01:07:03,800
Speaker 1: seven to zero point eight. Now, the developing world has

958
01:07:04,080 --> 01:07:08,760
Speaker 1: always had a higher birth rate throughout the modern age.

959
01:07:08,800 --> 01:07:13,280
Speaker 1: Since the Industrial Revolution of the late eighteen hundreds, the

960
01:07:14,320 --> 01:07:18,760
Speaker 1: developed world would typically produce more babies because there wasn't

961
01:07:18,800 --> 01:07:23,080
Speaker 1: as much access to contraception. You would not have as

962
01:07:23,120 --> 01:07:27,680
Speaker 1: many women in the workforce. Frankly, there is not quite

963
01:07:27,760 --> 01:07:32,600
Speaker 1: as much to do other than you know in some

964
01:07:32,920 --> 01:07:37,600
Speaker 1: developing African nation. So, while the world birth rate in

965
01:07:37,680 --> 01:07:42,680
Speaker 1: nineteen sixty was five births per woman, in the developed world,

966
01:07:43,160 --> 01:07:47,920
Speaker 1: the advanced economies those are known as OECD nations, there

967
01:07:47,920 --> 01:07:51,880
Speaker 1: were three point three births per woman. That has dropped.

968
01:07:52,240 --> 01:07:55,000
Speaker 1: Most recent year for which we have data is twenty

969
01:07:55,040 --> 01:07:59,800
Speaker 1: twenty two one point five berths. This is a major

970
01:07:59,800 --> 01:08:05,520
Speaker 1: problem an aging population combined, so you have fewer births

971
01:08:05,960 --> 01:08:09,880
Speaker 1: and you also have a much longer life expectancy. I mean,

972
01:08:09,960 --> 01:08:14,840
Speaker 1: back in nineteen sixty the average life span was well

973
01:08:14,920 --> 01:08:18,160
Speaker 1: shorter than it is today now. For the average American female,

974
01:08:18,200 --> 01:08:21,519
Speaker 1: I believe it's seventy six seventy seven years old. Men

975
01:08:21,600 --> 01:08:24,200
Speaker 1: it's like seventy three seventy four, somewhere in that range.

976
01:08:24,800 --> 01:08:28,040
Speaker 1: And the reason for that is because we have so

977
01:08:28,120 --> 01:08:30,880
Speaker 1: many drug deaths, we have so many homicides, we have

978
01:08:30,920 --> 01:08:35,479
Speaker 1: so many suicides. If you can actually avoid those, the

979
01:08:35,520 --> 01:08:40,519
Speaker 1: life expectancy shoots up to the upper eighties. It's really

980
01:08:40,560 --> 01:08:44,160
Speaker 1: remarkable how in developed nations you can live a very

981
01:08:44,320 --> 01:08:47,640
Speaker 1: long time. Basically, if you don't kill yourself, if you

982
01:08:47,640 --> 01:08:50,960
Speaker 1: don't get addicted to drugs, if you don't get shot

983
01:08:51,000 --> 01:08:53,160
Speaker 1: and killed, you don't get in a car accident, some

984
01:08:53,240 --> 01:08:55,880
Speaker 1: of the things that will kill people. It drives down

985
01:08:55,880 --> 01:08:58,439
Speaker 1: the average significantly because you get enough thirty year olds

986
01:08:58,800 --> 01:09:02,240
Speaker 1: who are dying. Obviously, that offsets the number of eighty

987
01:09:02,240 --> 01:09:07,000
Speaker 1: five year olds. You understand how statistics work. When you

988
01:09:07,160 --> 01:09:12,599
Speaker 1: have an aging workforce, you have fewer workers per retired person.

989
01:09:13,000 --> 01:09:17,639
Speaker 1: Those retired persons, thanks to Medicare and social Security, are

990
01:09:17,760 --> 01:09:21,680
Speaker 1: drawing their incomes or at least a significant portion of

991
01:09:21,720 --> 01:09:24,479
Speaker 1: their income if they're not. If they didn't save and

992
01:09:24,520 --> 01:09:26,639
Speaker 1: they don't have a big nest egg to draw from

993
01:09:26,640 --> 01:09:32,200
Speaker 1: in their retirement years, you have fewer workers per retired person.

994
01:09:32,280 --> 01:09:37,760
Speaker 1: That puts a tremendous strain on social welfare states on

995
01:09:37,840 --> 01:09:43,800
Speaker 1: social I shouldn't say welfare states on social programs. This

996
01:09:44,120 --> 01:09:49,280
Speaker 1: also tends to slow economic growth because more of a

997
01:09:49,320 --> 01:09:55,280
Speaker 1: country's GDP is required to go into sustaining the older population.

998
01:09:56,479 --> 01:09:58,840
Speaker 1: You also have to put in way more in the

999
01:09:58,880 --> 01:10:03,120
Speaker 1: healthcare industry. You don't get growth industries. And when fewer

1000
01:10:03,160 --> 01:10:07,280
Speaker 1: people are being born, you have the potential for fewer entrepreneurs,

1001
01:10:07,439 --> 01:10:11,000
Speaker 1: fewer people who are going to create things that dramatically

1002
01:10:11,080 --> 01:10:16,040
Speaker 1: explode in nation's economy. And this is where the left

1003
01:10:16,120 --> 01:10:21,240
Speaker 1: comes in. They say, look, this is unsustainable. We need

1004
01:10:21,360 --> 01:10:25,519
Speaker 1: to import people from the nations that are having a

1005
01:10:25,520 --> 01:10:29,519
Speaker 1: lot of children. Look, we don't have a workforce that

1006
01:10:29,720 --> 01:10:32,960
Speaker 1: is able to keep up with the demands of the

1007
01:10:33,000 --> 01:10:37,280
Speaker 1: modern world. Now that may be partially true, but not entirely.

1008
01:10:38,240 --> 01:10:43,320
Speaker 1: AI is going to completely and smart robotics systems as

1009
01:10:43,320 --> 01:10:48,000
Speaker 1: well as supercomputing is in large measure, going to dramatically

1010
01:10:48,040 --> 01:10:52,360
Speaker 1: reduce the need, if not eliminate the need altogether for

1011
01:10:52,720 --> 01:10:58,719
Speaker 1: huge sectors of employment that we have. Now we are folks,

1012
01:10:58,760 --> 01:11:02,439
Speaker 1: everybody is talking about out AI and all of this.

1013
01:11:03,240 --> 01:11:06,720
Speaker 1: Do not forget what Elon Musk and a number of

1014
01:11:06,840 --> 01:11:13,160
Speaker 1: other electronic robotic companies are doing. Humanoid robotics are designed

1015
01:11:13,160 --> 01:11:16,799
Speaker 1: to take the place of many workers who are doing

1016
01:11:16,960 --> 01:11:19,880
Speaker 1: jobs that otherwise human beings are doing. And folks, the

1017
01:11:20,240 --> 01:11:22,439
Speaker 1: first ones that are going to go. I hate to

1018
01:11:22,479 --> 01:11:25,360
Speaker 1: say it because I love truckers. I've got a number

1019
01:11:25,360 --> 01:11:27,679
Speaker 1: of trucker friends. Good friend of mine is a trucker.

1020
01:11:27,680 --> 01:11:32,400
Speaker 1: He drives for Lyft as well. I always tell him.

1021
01:11:32,439 --> 01:11:34,920
Speaker 1: I'm like, dude, you got to get you got to

1022
01:11:34,960 --> 01:11:39,400
Speaker 1: get something else going because Weimo I was talking about Austin,

1023
01:11:39,520 --> 01:11:42,920
Speaker 1: Texas in the last segment or a couple of segments ago.

1024
01:11:43,880 --> 01:11:47,360
Speaker 1: Weaimos are Weaimo is the Google. It's outfitted with Google

1025
01:11:47,400 --> 01:11:50,599
Speaker 1: AI and it's self driving technology and it'll come pick

1026
01:11:50,640 --> 01:11:53,519
Speaker 1: you up through Uber or Lyft and there's no driver.

1027
01:11:53,760 --> 01:11:58,200
Speaker 1: It's just a self driving car. That's the future. Heck,

1028
01:11:58,320 --> 01:12:01,920
Speaker 1: that's the present, and more more cities are going to

1029
01:12:02,120 --> 01:12:05,400
Speaker 1: right now. It's basically a beta testing program to have

1030
01:12:05,520 --> 01:12:09,320
Speaker 1: weimos on the streets to see how artificial intelligence and

1031
01:12:09,400 --> 01:12:14,240
Speaker 1: self driving cars do with other human drivers on the road.

1032
01:12:14,800 --> 01:12:17,360
Speaker 1: The issue with the self driving cars is not how

1033
01:12:17,400 --> 01:12:20,679
Speaker 1: they do. They react just fine. They have trouble dealing

1034
01:12:20,720 --> 01:12:24,840
Speaker 1: with the unpredictability of human drivers. You know, some woman

1035
01:12:24,880 --> 01:12:28,280
Speaker 1: who's doing her nails behind the wheel, some guy who

1036
01:12:28,320 --> 01:12:30,360
Speaker 1: has a coffee in one hand and is on his

1037
01:12:30,439 --> 01:12:32,920
Speaker 1: phone in the other and driving with his knees. I mean,

1038
01:12:32,920 --> 01:12:34,920
Speaker 1: that's the sort and then all of a sudden you're

1039
01:12:35,600 --> 01:12:38,920
Speaker 1: swerving into the weimo. They have a difficult time, or

1040
01:12:38,920 --> 01:12:41,800
Speaker 1: at least not quite as easy a time as maybe

1041
01:12:41,800 --> 01:12:45,400
Speaker 1: a human being with better reaction time, reacting to something

1042
01:12:45,439 --> 01:12:51,840
Speaker 1: that's just totally unexpected. That said, this is going to

1043
01:12:51,880 --> 01:12:54,320
Speaker 1: be the norm. Self driving cars are going to be

1044
01:12:54,360 --> 01:12:58,320
Speaker 1: the norm. I'm going to say within five to seven years.

1045
01:13:00,439 --> 01:13:03,640
Speaker 1: I'm seeing that producer Eric is, we may have to

1046
01:13:03,680 --> 01:13:06,760
Speaker 1: backtime this last break, Eric, because this is this is

1047
01:13:06,800 --> 01:13:11,880
Speaker 1: an important point that what have we had a big

1048
01:13:11,920 --> 01:13:16,120
Speaker 1: issue with illegal immigrant truck drivers being unable to read

1049
01:13:16,240 --> 01:13:21,160
Speaker 1: traffic signs and causing all manner of horrible crashes. What

1050
01:13:21,560 --> 01:13:25,000
Speaker 1: happens if they're and we're told, well, well, Americans aren't

1051
01:13:25,000 --> 01:13:28,000
Speaker 1: signing up to be truck drivers. What happens if you

1052
01:13:28,000 --> 01:13:32,160
Speaker 1: don't need human beings at all. Long before we have

1053
01:13:32,280 --> 01:13:34,760
Speaker 1: human beings transported by cars, we are going to have

1054
01:13:34,880 --> 01:13:39,320
Speaker 1: merchandise transported by self driving vehicles because there's really no

1055
01:13:39,640 --> 01:13:43,080
Speaker 1: risk to anybody inside the vehicle. Sure, there's a risk

1056
01:13:43,520 --> 01:13:45,960
Speaker 1: that if the truck crashes into a you know, a

1057
01:13:46,000 --> 01:13:50,040
Speaker 1: family of four, that obviously would be devastating, but you

1058
01:13:50,080 --> 01:13:52,719
Speaker 1: don't have that same risk of somebody in a car

1059
01:13:52,800 --> 01:13:57,320
Speaker 1: with no driver. So you can literally see possibly within

1060
01:13:57,360 --> 01:14:01,200
Speaker 1: a year or two, you're going to see significant numbers

1061
01:14:01,200 --> 01:14:05,840
Speaker 1: of truck drivers losing their jobs to machines. When we're

1062
01:14:05,880 --> 01:14:09,719
Speaker 1: talking about Governor Evers, Well, you wouldn't have an economy

1063
01:14:09,720 --> 01:14:12,799
Speaker 1: in Wisconsin because if we don't have illegals, there's nobody

1064
01:14:12,800 --> 01:14:15,559
Speaker 1: there to milk the cows. How can you call yourself

1065
01:14:15,600 --> 01:14:17,920
Speaker 1: the dairy state. That's a notorious quote. We replay it

1066
01:14:17,920 --> 01:14:19,679
Speaker 1: all the time. How can you call yourself the dairy

1067
01:14:19,720 --> 01:14:21,960
Speaker 1: state if you don't have anybody there to milk the house?

1068
01:14:22,000 --> 01:14:23,759
Speaker 1: Who says you need somebody there to milk the cows.

1069
01:14:25,360 --> 01:14:29,680
Speaker 1: Who says, in three to four years, you don't have

1070
01:14:29,720 --> 01:14:33,200
Speaker 1: a machine milking the cows entirely. And yes, there are

1071
01:14:33,560 --> 01:14:36,679
Speaker 1: cow milking machines, but let's say there's not humanoid robots

1072
01:14:36,720 --> 01:14:42,080
Speaker 1: doing a great deal of the farming chores. This is

1073
01:14:42,200 --> 01:14:45,920
Speaker 1: sort of the issue here. But leftists say, well, we

1074
01:14:46,040 --> 01:14:49,200
Speaker 1: need to import these people because our birth rates are

1075
01:14:49,280 --> 01:14:51,760
Speaker 1: so low that we just aren't going to be able

1076
01:14:51,800 --> 01:14:54,400
Speaker 1: to replace the population. So we're going to replace the

1077
01:14:54,439 --> 01:14:56,679
Speaker 1: population that would otherwise be born with people are coming

1078
01:14:56,680 --> 01:14:58,840
Speaker 1: into the country. Oh no, no, no, no, you can't

1079
01:14:58,840 --> 01:15:03,200
Speaker 1: say that that is the suppose racist great replacement theory. Well,

1080
01:15:03,280 --> 01:15:07,960
Speaker 1: it's literally what democrats have been saying for years and

1081
01:15:08,280 --> 01:15:11,759
Speaker 1: This is why I suspect they are fighting tooth and nail,

1082
01:15:11,960 --> 01:15:17,040
Speaker 1: including very likely shutting down the government at midnight, because

1083
01:15:17,080 --> 01:15:20,000
Speaker 1: they don't want any sort of border enforcement at all.

1084
01:15:20,280 --> 01:15:22,639
Speaker 1: They don't want any sort of immigration enforcement, they don't

1085
01:15:22,640 --> 01:15:26,360
Speaker 1: want deportations, they don't want a closed border. How else

1086
01:15:26,400 --> 01:15:28,439
Speaker 1: do you explain the fact that we could have shut

1087
01:15:28,439 --> 01:15:32,200
Speaker 1: down the border any damn well time we pleased during

1088
01:15:32,200 --> 01:15:36,320
Speaker 1: the Biden administration, it just refused. Trump had the magic formula,

1089
01:15:36,439 --> 01:15:38,160
Speaker 1: is just able to do it in a week. Give

1090
01:15:38,200 --> 01:15:40,200
Speaker 1: me a break. We'll discuss that coming up after the

1091
01:15:40,200 --> 01:15:42,360
Speaker 1: top of the hour right here on the Dan o'donald Show.

1092
01:15:45,240 --> 01:15:48,280
Speaker 1: Welcome back to the Dan o'donalds Show. Five o'clock hours

1093
01:15:48,320 --> 01:15:50,960
Speaker 1: starts right now, and it starts with a chance for

1094
01:15:51,000 --> 01:15:54,040
Speaker 1: you to win one thousand dollars In just a second,

1095
01:15:54,080 --> 01:15:56,400
Speaker 1: we will give you this hour's word in the cold

1096
01:15:56,520 --> 01:15:59,960
Speaker 1: hard cash contest. First, some stories that we've been following

1097
01:16:00,080 --> 01:16:06,000
Speaker 1: this afternoon. President Trump holding a cabinet meeting today talking

1098
01:16:06,120 --> 01:16:11,280
Speaker 1: tough on Iran but also opening up Venezuela's airspace following

1099
01:16:11,320 --> 01:16:14,679
Speaker 1: the deposition and arrest of former dictator Nicholas Maduro.

1100
01:16:15,720 --> 01:16:17,719
Speaker 2: This has been I think, and a lot of people

1101
01:16:17,760 --> 01:16:21,920
Speaker 2: say it the most successful year of any administration in

1102
01:16:21,960 --> 01:16:25,040
Speaker 2: American history. First year has never been the first year

1103
01:16:25,120 --> 01:16:26,360
Speaker 2: like this included.

1104
01:16:26,320 --> 01:16:30,920
Speaker 1: The President touting his first year agenda and instructing Transportation

1105
01:16:31,080 --> 01:16:35,080
Speaker 1: Secretary Sean Duffy to open up the skies over Venezuela.

1106
01:16:35,080 --> 01:16:39,920
Speaker 2: I've instructed Sean Duffy and everybody else concern including the military,

1107
01:16:40,520 --> 01:16:42,400
Speaker 2: and that if you would by the end of today,

1108
01:16:42,400 --> 01:16:46,160
Speaker 2: I'd like you had of the airspace over Venezuela. Planes

1109
01:16:46,160 --> 01:16:49,120
Speaker 2: can go to Venezuela opened up. Okay, yes, thank you

1110
01:16:49,240 --> 01:16:49,639
Speaker 2: very much.

1111
01:16:50,000 --> 01:16:52,840
Speaker 1: Now there is some speculation, thanks to an article in

1112
01:16:52,880 --> 01:16:56,400
Speaker 1: Politico today, that Sean Duffy may be on his way

1113
01:16:56,520 --> 01:17:00,760
Speaker 1: out as Transportation Secretary. The articles sites, of course, a

1114
01:17:00,840 --> 01:17:04,280
Speaker 1: number of anonymous sources who believe that Trump feels that

1115
01:17:04,360 --> 01:17:07,880
Speaker 1: Duffy is in over his head and has been ineffectual

1116
01:17:08,000 --> 01:17:12,880
Speaker 1: as Transportation Secretary. That doesn't seem to jibe with the

1117
01:17:12,920 --> 01:17:16,240
Speaker 1: facts on the ground. Trump also just gave the endorsement

1118
01:17:16,360 --> 01:17:21,040
Speaker 1: for the sixth Congressional District Republican primary two Duffy's son

1119
01:17:21,080 --> 01:17:24,559
Speaker 1: in law, Michael al Fonso. Stories we've been covering here

1120
01:17:24,600 --> 01:17:28,960
Speaker 1: on the Dan O'Donnell show Whitman middle school parents are

1121
01:17:29,200 --> 01:17:34,800
Speaker 1: upset after teachers have been encouraging anti ICE letters being

1122
01:17:34,840 --> 01:17:38,920
Speaker 1: written by students. They also showed video of Alex Pretty

1123
01:17:39,040 --> 01:17:43,240
Speaker 1: being shot and killed. New information about Pretty, by the way,

1124
01:17:43,439 --> 01:17:47,160
Speaker 1: video from January sixteenth shows that he was engaged in

1125
01:17:47,320 --> 01:17:51,960
Speaker 1: violent encounters with ICE agents about eleven days before he

1126
01:17:52,120 --> 01:17:54,559
Speaker 1: was in fact shot to death and at an ICE

1127
01:17:54,640 --> 01:17:58,360
Speaker 1: out protest a student walkout at Whitefish Bay High School.

1128
01:17:58,640 --> 01:18:03,559
Speaker 1: We actually found a swastika sign in the background of

1129
01:18:03,960 --> 01:18:07,560
Speaker 1: a student shot that appeared on the Milwaukee Journal Sentinels

1130
01:18:07,680 --> 01:18:12,439
Speaker 1: Instagram page. We have no idea. Is it a statement

1131
01:18:12,520 --> 01:18:16,800
Speaker 1: that Ice are Nazis? Is a kid messing with the protesters?

1132
01:18:16,840 --> 01:18:19,680
Speaker 1: It is, after all, in the back. It is of

1133
01:18:19,720 --> 01:18:24,519
Speaker 1: course highly inappropriate. Cold hard cash contest word this hour

1134
01:18:24,760 --> 01:18:27,960
Speaker 1: Friend f R I E N D Friend. You have

1135
01:18:28,000 --> 01:18:30,680
Speaker 1: got until five fifty five to go to our website

1136
01:18:31,080 --> 01:18:34,280
Speaker 1: and enter the keyword friend to enter the contest for

1137
01:18:34,520 --> 01:18:37,599
Speaker 1: this hour. Your entry is pick that random. You will

1138
01:18:37,640 --> 01:18:40,000
Speaker 1: be our best friend. I guarantee it because we will

1139
01:18:40,000 --> 01:18:44,639
Speaker 1: give you one thousand dollars just for listening to us

1140
01:18:44,880 --> 01:18:47,800
Speaker 1: and going to our website and entering word four one

1141
01:18:47,880 --> 01:18:51,200
Speaker 1: four seven, nine, nine eleven thirty is our adittnos dot

1142
01:18:51,240 --> 01:18:53,160
Speaker 1: com talk and text line if you'd like to join

1143
01:18:53,200 --> 01:18:59,680
Speaker 1: the show. Number of people texting in for suggestions on

1144
01:18:59,720 --> 01:19:04,000
Speaker 1: where to send the ice verifier thugs that voss de

1145
01:19:04,200 --> 01:19:07,080
Speaker 1: front la Frontera has been organized. I actually got an

1146
01:19:07,120 --> 01:19:11,760
Speaker 1: email that I took rather seriously, and you know, this

1147
01:19:11,800 --> 01:19:15,719
Speaker 1: woman said, Hey, Dan, I love the idea of sending

1148
01:19:15,840 --> 01:19:19,760
Speaker 1: ice verifiers, like calling up and just saying, hey, I

1149
01:19:19,800 --> 01:19:22,200
Speaker 1: think I saw ice in the middle of the woods.

1150
01:19:23,240 --> 01:19:26,160
Speaker 1: But she said, Dan, you gotta be careful sending these

1151
01:19:26,280 --> 01:19:31,879
Speaker 1: nutsos to random like real businesses. That's probably not something

1152
01:19:32,120 --> 01:19:36,200
Speaker 1: you should be doing because there could be confrontations there. Look, folks,

1153
01:19:36,640 --> 01:19:40,720
Speaker 1: I don't actually think that ice verifiers are going to

1154
01:19:40,720 --> 01:19:43,720
Speaker 1: be going out. I believe this to be an illegal

1155
01:19:43,840 --> 01:19:49,960
Speaker 1: interference in federal law enforcement. I believe the very concept

1156
01:19:50,200 --> 01:19:53,800
Speaker 1: of going out to try to verify that ice is

1157
01:19:53,840 --> 01:19:56,760
Speaker 1: in a neighborhood and then warning the targets of a

1158
01:19:56,880 --> 01:20:00,000
Speaker 1: valid warrant that hey, the law is coming, you better

1159
01:20:00,120 --> 01:20:03,200
Speaker 1: get out of there. That's obstruction of federal process. That

1160
01:20:03,600 --> 01:20:08,400
Speaker 1: is attempting to conceal somebody from arrest. So it's my

1161
01:20:08,600 --> 01:20:11,760
Speaker 1: hope that enough people call this hotline that it's just

1162
01:20:11,880 --> 01:20:15,080
Speaker 1: clogged and that it's useless. I'll be completely and totally

1163
01:20:15,160 --> 01:20:18,200
Speaker 1: upfront about it. I believe that it's being used to

1164
01:20:18,240 --> 01:20:22,920
Speaker 1: facilitate a crime. I think it's shameful that you had

1165
01:20:23,120 --> 01:20:29,280
Speaker 1: was at Channel four Today's TMJ four had Christine Newman Ortiz,

1166
01:20:29,320 --> 01:20:33,120
Speaker 1: who's the executive director of Vosses de la Frontier out there,

1167
01:20:33,120 --> 01:20:36,920
Speaker 1: and she had the goal to say, well, where it's

1168
01:20:36,960 --> 01:20:40,519
Speaker 1: just it is so damaging, it is so dangerous when

1169
01:20:40,560 --> 01:20:45,480
Speaker 1: we have unverified rumors, and we don't want these unverified

1170
01:20:45,560 --> 01:20:49,720
Speaker 1: rumors because it causes harm to the community. That's why

1171
01:20:49,720 --> 01:20:52,160
Speaker 1: you should call up our ICE verify or hotline. Well

1172
01:20:52,439 --> 01:20:54,840
Speaker 1: what the hell do you think it does to law

1173
01:20:54,960 --> 01:20:57,920
Speaker 1: enforcement agents when you've got an army of left wing

1174
01:20:58,120 --> 01:21:02,880
Speaker 1: crazies on speed dial ready to go out wherever they are.

1175
01:21:04,360 --> 01:21:06,360
Speaker 1: Can we get the Can we get the audio of

1176
01:21:07,000 --> 01:21:12,240
Speaker 1: Alex Pretty and his violent confrontation on January thirteenth, producer, Eric,

1177
01:21:12,280 --> 01:21:14,519
Speaker 1: can we pop that up there? All right? Thank you

1178
01:21:14,600 --> 01:21:17,640
Speaker 1: very much. This is this is what happens when you

1179
01:21:17,680 --> 01:21:22,160
Speaker 1: get some ICE verifiers out in the field to just

1180
01:21:22,520 --> 01:21:25,720
Speaker 1: see what ICE is doing. Okay, Alex Pretty is an

1181
01:21:25,760 --> 01:21:48,320
Speaker 1: ice verifier. That's what happens. It's not just dangerous for

1182
01:21:48,960 --> 01:21:53,599
Speaker 1: ice agents. Alex Pretty died because he was whipped into

1183
01:21:53,680 --> 01:21:57,840
Speaker 1: a frenzy. I see him as as ultimately a very

1184
01:21:58,040 --> 01:22:03,519
Speaker 1: tragic figure. He's whipped into a frenzy by Tim Walls

1185
01:22:03,560 --> 01:22:07,839
Speaker 1: and Jacob Frye and most likely some of the people

1186
01:22:07,880 --> 01:22:12,080
Speaker 1: that he's seeing on TikTok. He's he's a left wing

1187
01:22:12,280 --> 01:22:16,479
Speaker 1: do gooder. He goes into nursing. He wants to help people.

1188
01:22:17,920 --> 01:22:23,679
Speaker 1: He's clearly got some mental instability problems, and he sees

1189
01:22:23,960 --> 01:22:27,720
Speaker 1: ICE as being well, they're Nazis. They're Nazis. They're they're

1190
01:22:27,760 --> 01:22:31,599
Speaker 1: they're in unmarked vans. They're grabbing people up off the streets.

1191
01:22:31,640 --> 01:22:36,400
Speaker 1: That is a direct quote from Tim Walls. They're they're

1192
01:22:36,439 --> 01:22:42,320
Speaker 1: taking Minnesotas. And Frank another quote from Tim Walls, he said,

1193
01:22:42,600 --> 01:22:46,880
Speaker 1: somewhere there is a little girl hiding in Minneapolis who,

1194
01:22:47,120 --> 01:22:49,400
Speaker 1: like an Frank, is going to write the book about

1195
01:22:49,400 --> 01:22:54,960
Speaker 1: what happened here. You and I can laugh about this

1196
01:22:55,080 --> 01:22:59,120
Speaker 1: because it's so stupid, someone like Alex Pretty, who has

1197
01:22:59,280 --> 01:23:04,840
Speaker 1: violent avenge fantasies and and and all I can think

1198
01:23:04,840 --> 01:23:09,040
Speaker 1: of is that the line of from Hamilton head full

1199
01:23:09,080 --> 01:23:13,400
Speaker 1: of fantasies of dying like a martyr. Uhhah, dying is easy,

1200
01:23:13,479 --> 01:23:18,479
Speaker 1: young man, Living is harder. That that was Alex pretty

1201
01:23:19,840 --> 01:23:23,160
Speaker 1: head full of fantasies of being a martyr for the

1202
01:23:23,240 --> 01:23:27,520
Speaker 1: cause of what, standing up for child rapists and murderers.

1203
01:23:28,400 --> 01:23:32,479
Speaker 1: That Ice is going to deport So they're not going

1204
01:23:32,520 --> 01:23:37,439
Speaker 1: after the Mexican and Frank, they're not going after Anita Franco.

1205
01:23:37,800 --> 01:23:41,080
Speaker 1: They're going after the worst of the worst. But you've

1206
01:23:41,080 --> 01:23:44,679
Speaker 1: got crazies who believe that that's not true. And what's

1207
01:23:44,800 --> 01:23:48,400
Speaker 1: rather amazing to me, and this again, I will go back.

1208
01:23:48,439 --> 01:23:52,439
Speaker 1: I'm gonna I'm gonna call it missus O'Donnell theory because

1209
01:23:52,479 --> 01:23:55,559
Speaker 1: my wife this is, this is like her overarching theory

1210
01:23:55,600 --> 01:24:00,200
Speaker 1: of everything. It is that we cannot we do not

1211
01:24:00,360 --> 01:24:03,040
Speaker 1: as left and right in this country. We do not

1212
01:24:03,320 --> 01:24:08,040
Speaker 1: anymore have any sort of common ground because the left

1213
01:24:08,320 --> 01:24:13,040
Speaker 1: sees a completely different algorithm on news that is curated

1214
01:24:13,200 --> 01:24:18,880
Speaker 1: often without any human involvement whatsoever, specifically for them, and

1215
01:24:19,000 --> 01:24:22,080
Speaker 1: because there is such a concerted effort on the left

1216
01:24:22,360 --> 01:24:24,799
Speaker 1: to hide you you can actually see in real time

1217
01:24:25,200 --> 01:24:27,519
Speaker 1: what it was that the Soviets were doing for so

1218
01:24:27,600 --> 01:24:33,120
Speaker 1: many decades to their people, just deliberately hiding true things

1219
01:24:33,800 --> 01:24:37,040
Speaker 1: that reflect poorly on the Soviets. That's exactly what's going

1220
01:24:37,080 --> 01:24:41,760
Speaker 1: on now. We have a modern day Pravda in our

1221
01:24:41,800 --> 01:24:47,320
Speaker 1: traditional and social media. In fact, I have been I

1222
01:24:47,360 --> 01:24:51,880
Speaker 1: have been inundated with people on my Facebook wall saying

1223
01:24:52,280 --> 01:24:56,639
Speaker 1: the video of Alex pretty you just heard it. There

1224
01:24:56,640 --> 01:25:01,920
Speaker 1: are multiple angles of him bitting on a car, of

1225
01:25:02,000 --> 01:25:05,559
Speaker 1: him kicking out a tail light. They're saying, well, that's Ai,

1226
01:25:05,840 --> 01:25:13,000
Speaker 1: that's AI. The BBC published it, the British Broadcasting Corporation.

1227
01:25:13,560 --> 01:25:16,840
Speaker 1: It's about one of the most left wing organizations in

1228
01:25:16,920 --> 01:25:22,160
Speaker 1: the world. It's not AI. I'm sorry, your hero is

1229
01:25:22,200 --> 01:25:27,240
Speaker 1: actually a sociopath. Democrats now are gonna shut down the

1230
01:25:27,240 --> 01:25:30,200
Speaker 1: government because they don't want ICE funded. You know what

1231
01:25:30,200 --> 01:25:32,559
Speaker 1: the problem with this is, you talk about these people

1232
01:25:32,680 --> 01:25:36,639
Speaker 1: just having no idea about what's going on. Even Tammy

1233
01:25:36,640 --> 01:25:39,599
Speaker 1: Baul do you know ICE is funded through twenty twenty nine,

1234
01:25:39,960 --> 01:25:45,320
Speaker 1: fully funded. This DHS appropriation bill it would go to

1235
01:25:45,439 --> 01:25:48,479
Speaker 1: other parts of the Department of Homeland Security, and Tammy

1236
01:25:48,520 --> 01:25:57,320
Speaker 1: Baldwin is repeatedly voting to filibuster the basically it's a

1237
01:25:57,360 --> 01:26:00,800
Speaker 1: procedural vote, so they can't move forward. And I don't

1238
01:26:00,800 --> 01:26:03,639
Speaker 1: want to get into my thoughts about the filibuster. Yes,

1239
01:26:03,800 --> 01:26:07,280
Speaker 1: absolutely does need to be abolished in its current form.

1240
01:26:07,800 --> 01:26:09,240
Speaker 1: I want to go back to how we used to

1241
01:26:09,280 --> 01:26:12,480
Speaker 1: do the filibuster, where you can't have a virtual filibuster.

1242
01:26:12,640 --> 01:26:15,240
Speaker 1: You actually need to have someone like mister Smith goes

1243
01:26:15,280 --> 01:26:18,880
Speaker 1: to Washington standing and talking, and as soon as they

1244
01:26:18,960 --> 01:26:24,680
Speaker 1: collapse from exhaustion, all right, filibuster is over. The filibuster

1245
01:26:24,880 --> 01:26:29,320
Speaker 1: was never designed to permanently stop legislation or to force

1246
01:26:29,360 --> 01:26:33,800
Speaker 1: an artificial sixty vote threshold. There's literally nothing in the

1247
01:26:33,800 --> 01:26:38,439
Speaker 1: Constitution or nothing in federal law. This is some Senate rule.

1248
01:26:38,560 --> 01:26:40,840
Speaker 1: So what happens is they went to what's known as

1249
01:26:40,880 --> 01:26:44,479
Speaker 1: a two track system, where I want you to think

1250
01:26:44,520 --> 01:26:47,599
Speaker 1: of bills that go before the Senate as like train

1251
01:26:47,800 --> 01:26:52,439
Speaker 1: cars on a track. Okay, and let's say the Ice

1252
01:26:52,520 --> 01:26:57,200
Speaker 1: Appropriations Bill or DHS Appropriations Bill is the lead car

1253
01:26:57,320 --> 01:27:01,120
Speaker 1: on the track. In the old days, if you would

1254
01:27:01,200 --> 01:27:06,240
Speaker 1: filibuster the ice bill, every other car on the track

1255
01:27:06,280 --> 01:27:11,320
Speaker 1: would be stopped. Now you just move the ice bill

1256
01:27:11,400 --> 01:27:14,920
Speaker 1: to a separate track, a two track legislation, and all

1257
01:27:14,960 --> 01:27:17,000
Speaker 1: the other cars, So you don't even need to fill

1258
01:27:17,040 --> 01:27:19,080
Speaker 1: a buster. You just say, ah, I'm good to filibuster,

1259
01:27:19,680 --> 01:27:21,840
Speaker 1: and we just move right on to the next bill.

1260
01:27:21,920 --> 01:27:25,280
Speaker 1: The other one dies. Well, it's a de facto way

1261
01:27:25,320 --> 01:27:28,639
Speaker 1: to kill a bill that was never actually contemplated by

1262
01:27:28,680 --> 01:27:31,719
Speaker 1: the Constitution of the United States, the framers, or any

1263
01:27:31,760 --> 01:27:38,320
Speaker 1: sort of federal law. Why is it, though, that Democrats

1264
01:27:38,600 --> 01:27:44,720
Speaker 1: are working so so hard in order to get as

1265
01:27:44,760 --> 01:27:48,800
Speaker 1: many illegals into this country and keep them there. There

1266
01:27:48,840 --> 01:27:51,920
Speaker 1: can really be no doubt. I mean, the first two

1267
01:27:51,960 --> 01:27:56,160
Speaker 1: weeks of the Trump administration pretty much proves that the

1268
01:27:56,240 --> 01:28:01,599
Speaker 1: last four years of the Biden administration was intentional. How

1269
01:28:01,640 --> 01:28:04,639
Speaker 1: else do you shut down the border in two weeks

1270
01:28:05,680 --> 01:28:07,840
Speaker 1: after four years of saying, well, there's nothing we can do.

1271
01:28:08,080 --> 01:28:09,880
Speaker 1: We just have to have a poorest border. We need

1272
01:28:09,880 --> 01:28:12,800
Speaker 1: as many people as humanly possible, just waltzing right in.

1273
01:28:14,800 --> 01:28:16,400
Speaker 1: We did not need a new bill, we did not

1274
01:28:16,520 --> 01:28:18,559
Speaker 1: need new laws, we did not need new anything. Just

1275
01:28:18,600 --> 01:28:22,519
Speaker 1: a new president. President Trump proved it. Why are they

1276
01:28:22,520 --> 01:28:29,040
Speaker 1: fighting so hard. It's because their political survival depends on it.

1277
01:28:30,200 --> 01:28:33,639
Speaker 1: And it all has to do with this census, folks.

1278
01:28:33,640 --> 01:28:37,519
Speaker 1: The Center for Immigration Studies found two years ago twenty

1279
01:28:37,560 --> 01:28:42,240
Speaker 1: twenty four, that both legal and illegal immigrants in the

1280
01:28:42,360 --> 01:28:48,000
Speaker 1: twenty twenty census shifted seventeen House seats and thus seventeen

1281
01:28:48,040 --> 01:28:53,000
Speaker 1: electoral College votes, leading to a net gain of fourteen

1282
01:28:53,360 --> 01:28:59,920
Speaker 1: seats for Democrat leaning states. Ten seats and ten electoral

1283
01:29:00,080 --> 01:29:04,679
Speaker 1: votes were lost by Republican states, four by battleground states,

1284
01:29:05,040 --> 01:29:08,840
Speaker 1: and because all of the battlegrounds went to Republicans, pretty

1285
01:29:08,920 --> 01:29:15,640
Speaker 1: much all fourteen went to Republican states. This is not insignificant.

1286
01:29:16,040 --> 01:29:22,280
Speaker 1: In fact, this is massive. Not only that in the

1287
01:29:22,360 --> 01:29:27,360
Speaker 1: twenty twenty two midterms, National Review used the exact same

1288
01:29:27,479 --> 01:29:31,960
Speaker 1: census data to find that districts with high non citizen

1289
01:29:32,120 --> 01:29:38,840
Speaker 1: populations one in five adults overwhelmingly voted for Democrats in

1290
01:29:38,920 --> 01:29:43,440
Speaker 1: twenty twenty two, twenty of twenty four such districts went Democrat.

1291
01:29:44,800 --> 01:29:51,400
Speaker 1: H That's interesting. Not only this, why is it that

1292
01:29:51,439 --> 01:29:55,040
Speaker 1: Democrats constantly are talking about a pathway to citizenship? I

1293
01:29:55,080 --> 01:29:58,080
Speaker 1: call it a pathway to voting. Public Policy Institute of

1294
01:29:58,160 --> 01:30:03,840
Speaker 1: California found fifty six percent of naturalized citizen voters in

1295
01:30:03,880 --> 01:30:09,160
Speaker 1: that state registered as Democrats, compared to fourteen percent as Republicans.

1296
01:30:09,280 --> 01:30:16,040
Speaker 1: It is widely believed that immigrants vote overwhelmingly Democratic. Now

1297
01:30:16,520 --> 01:30:19,000
Speaker 1: that might have shifted. A whole lot of things did

1298
01:30:19,120 --> 01:30:23,679
Speaker 1: shift in twenty twenty four, not necessarily because of Trump,

1299
01:30:23,680 --> 01:30:27,080
Speaker 1: but because, as I very strongly suspect, the Biden administration

1300
01:30:27,240 --> 01:30:31,559
Speaker 1: was historically awful. But even if there is no pathway

1301
01:30:31,600 --> 01:30:38,759
Speaker 1: to citizenship, even if no illegal immigrants ever cast a vote,

1302
01:30:39,000 --> 01:30:42,479
Speaker 1: or no non citizen immigrants who are legally barred from

1303
01:30:42,560 --> 01:30:46,280
Speaker 1: voting got to be a citizen ever cast to vote,

1304
01:30:46,320 --> 01:30:50,720
Speaker 1: their mere presence in this country, as evidenced by the

1305
01:30:50,800 --> 01:30:56,640
Speaker 1: fact that Democrats got fourteen House seats and fourteen electoral

1306
01:30:56,720 --> 01:30:59,960
Speaker 1: votes that they shouldn't have gotten because in the sete

1307
01:31:00,040 --> 01:31:05,840
Speaker 1: and SIS we count Democrats and Republicans and citizens and

1308
01:31:06,000 --> 01:31:10,000
Speaker 1: non citizens alike. Now, as I reported earlier this week,

1309
01:31:10,120 --> 01:31:13,719
Speaker 1: based on brand new census data just out a couple

1310
01:31:13,800 --> 01:31:18,040
Speaker 1: of days ago, the American Redistricting Project projects that the

1311
01:31:18,200 --> 01:31:24,800
Speaker 1: twenty thirty Census is going to be absolutely devastating for Democrats. Now,

1312
01:31:24,840 --> 01:31:29,160
Speaker 1: it was widely believed, and in fact the Census Bureau acknowledged,

1313
01:31:29,240 --> 01:31:32,960
Speaker 1: because the census was conducted during COVID nineteen. The reason

1314
01:31:33,880 --> 01:31:39,280
Speaker 1: that Democrats got so big of an advantage was because

1315
01:31:39,680 --> 01:31:43,559
Speaker 1: there was a dramatic over counter excuse me, yes, an

1316
01:31:43,600 --> 01:31:49,760
Speaker 1: overcount an overestimate of minority citizens, and it was it

1317
01:31:49,840 --> 01:31:53,920
Speaker 1: was just completely a mess. So Southern states were essentially

1318
01:31:54,000 --> 01:31:58,519
Speaker 1: screwed and northern states were the beneficiaries. Well, that's going

1319
01:31:58,560 --> 01:32:03,400
Speaker 1: to self correct in twenty Not only that, people are

1320
01:32:03,479 --> 01:32:07,080
Speaker 1: just fleeing blue states in record numbers. California is going

1321
01:32:07,080 --> 01:32:13,080
Speaker 1: to lose four electoral votes and four congressional representatives. Illinois, Minnesota,

1322
01:32:13,560 --> 01:32:16,720
Speaker 1: New York, Oregon, Pennsylvania, Rhode Island, and yes, us here

1323
01:32:16,720 --> 01:32:21,040
Speaker 1: in Wisconsin, we are all projected to lose one seat each.

1324
01:32:21,439 --> 01:32:26,759
Speaker 1: That is eleven House seats. All of those are going

1325
01:32:26,800 --> 01:32:29,800
Speaker 1: to go to states that went for President Trump in

1326
01:32:29,840 --> 01:32:33,559
Speaker 1: twenty twenty four. Four House seats go to Texas, two

1327
01:32:33,600 --> 01:32:38,000
Speaker 1: go to Florida, one each to Arizona, Georgia, Idaho, North Carolina,

1328
01:32:38,479 --> 01:32:43,280
Speaker 1: and Utah. This means in twenty thirty two, Republicans can

1329
01:32:43,360 --> 01:32:46,559
Speaker 1: win the White House without meeting any one of the

1330
01:32:46,560 --> 01:32:50,920
Speaker 1: Blue Wall states Wisconsin, Michigan, or Pennsylvania. All they need

1331
01:32:50,960 --> 01:32:53,439
Speaker 1: to do is to keep all of the states that

1332
01:32:53,520 --> 01:32:58,040
Speaker 1: they traditionally win and keep the increasingly read Georgia, North

1333
01:32:58,120 --> 01:33:02,160
Speaker 1: Carolina and Arizona. It is a much easier path for

1334
01:33:02,240 --> 01:33:07,920
Speaker 1: Republicans throughout the next decade. Democrats recognize this, and this

1335
01:33:08,000 --> 01:33:10,920
Speaker 1: is why throughout the Biden administration, not only were they

1336
01:33:11,040 --> 01:33:16,760
Speaker 1: importing new people by the millions, they were shuffling them

1337
01:33:17,040 --> 01:33:23,160
Speaker 1: around coincidentally enough to states that have sanctuary jurisdictions and

1338
01:33:23,280 --> 01:33:27,400
Speaker 1: states that might otherwise lose a whole ton of population

1339
01:33:27,640 --> 01:33:32,439
Speaker 1: and thus representation in the twenty thirty census. We now

1340
01:33:32,479 --> 01:33:35,560
Speaker 1: go to the phones and talk with Mike in Cedarberg.

1341
01:33:35,680 --> 01:33:37,840
Speaker 1: You're on the Dan O'Donnell show. It's going on, sir,

1342
01:33:39,840 --> 01:33:40,200
Speaker 1: I just.

1343
01:33:40,160 --> 01:33:43,840
Speaker 6: Want to offer you a little different perspective. Then, I

1344
01:33:43,880 --> 01:33:49,559
Speaker 6: have a child of chosen Minnesota, in Minneapolis, and she's

1345
01:33:49,720 --> 01:33:54,000
Speaker 6: a wonderful girl, super liberal. I can't stand it, but

1346
01:33:54,080 --> 01:33:56,400
Speaker 6: you know what, I love her and I have to

1347
01:33:56,479 --> 01:34:01,639
Speaker 6: listen to her. And she's concerned in and rightfully soul.

1348
01:34:01,840 --> 01:34:06,800
Speaker 6: She has friends that are immigrants, they're legal, but they

1349
01:34:06,880 --> 01:34:12,519
Speaker 6: are picking up people and detaining them. And this isn't

1350
01:34:12,600 --> 01:34:17,679
Speaker 6: a Democrats bad, Republicans good. She's not defending the murderers,

1351
01:34:18,360 --> 01:34:22,479
Speaker 6: she's not defending the thieves, the criminals. She's defending your friends.

1352
01:34:22,720 --> 01:34:26,799
Speaker 6: And I just see all this hate going both ways.

1353
01:34:27,280 --> 01:34:31,320
Speaker 6: You voted for Trump. You're a jerk, You're a horrible person.

1354
01:34:31,400 --> 01:34:35,440
Speaker 6: But it's not that way. I have friends that are Democrats.

1355
01:34:36,120 --> 01:34:39,679
Speaker 6: We can't talk about this stuff, I think, and that's

1356
01:34:39,720 --> 01:34:41,000
Speaker 6: one of the big issues.

1357
01:34:41,200 --> 01:34:43,360
Speaker 1: That's one of the big issues. And I'm far be

1358
01:34:43,439 --> 01:34:47,599
Speaker 1: it from me to discount your daughter's lived experience. But that, frankly,

1359
01:34:47,720 --> 01:34:51,880
Speaker 1: is a terrible argument that it's it's an argument based

1360
01:34:51,920 --> 01:34:55,040
Speaker 1: on a tiny representative sample. Well, she knows a couple

1361
01:34:55,120 --> 01:34:58,679
Speaker 1: of people who were detained who are citizens. Well, okay,

1362
01:34:58,760 --> 01:35:04,840
Speaker 1: where they actively resisting arrest, were they caught up in

1363
01:35:04,880 --> 01:35:09,840
Speaker 1: a sweep and then subsequently released. The reality is, unfortunately, Mike,

1364
01:35:09,880 --> 01:35:12,280
Speaker 1: and please don't I'm not trying to jump down your throat.

1365
01:35:12,280 --> 01:35:14,280
Speaker 1: Please do not do not misinterpret.

1366
01:35:15,000 --> 01:35:16,040
Speaker 6: No not, I get it.

1367
01:35:16,240 --> 01:35:18,920
Speaker 1: You know what I'm saying like it can't under agree.

1368
01:35:19,120 --> 01:35:22,000
Speaker 6: I agree with you. But but now this is where

1369
01:35:22,000 --> 01:35:24,759
Speaker 6: it gets weird. I agree with you one hundred percent,

1370
01:35:24,840 --> 01:35:27,200
Speaker 6: and I've tried to talk with her and it doesn't work.

1371
01:35:27,560 --> 01:35:30,400
Speaker 6: The reason it doesn't work is because of something you've said.

1372
01:35:30,880 --> 01:35:35,360
Speaker 6: The mayor the governor are telling them different. There's recruiting

1373
01:35:35,400 --> 01:35:39,480
Speaker 6: these people into these activities. Their mind has been twisted.

1374
01:35:40,040 --> 01:35:44,519
Speaker 6: I consider it brainwashing. But they're good people and they're

1375
01:35:44,560 --> 01:35:47,679
Speaker 6: believing everything that has been sure for them, So it's

1376
01:35:47,720 --> 01:35:49,320
Speaker 6: not it's unfortunate.

1377
01:35:49,600 --> 01:35:54,680
Speaker 1: So it's not that. Okay, Hey, this person who is

1378
01:35:54,800 --> 01:35:59,920
Speaker 1: a naturalized citizen was in the the the the Senate

1379
01:36:00,400 --> 01:36:04,000
Speaker 1: of where a known let's say, illegal drug trafficker who

1380
01:36:04,120 --> 01:36:06,679
Speaker 1: was the target of this thing. That actually does happen,

1381
01:36:07,240 --> 01:36:10,280
Speaker 1: and these people get detained, you got to sort them out. Oftentimes,

1382
01:36:10,320 --> 01:36:14,680
Speaker 1: when they're arrested, it's because they're violently resisting, they're obstructing,

1383
01:36:14,840 --> 01:36:19,559
Speaker 1: they're running, they're doing something right. Yes, if you have

1384
01:36:19,760 --> 01:36:24,080
Speaker 1: other illegals who are not criminals, who are with a

1385
01:36:24,960 --> 01:36:28,839
Speaker 1: target of a raid and they are taken into custody,

1386
01:36:28,880 --> 01:36:32,880
Speaker 1: this often happens when you raid workplaces and things like that,

1387
01:36:34,560 --> 01:36:38,200
Speaker 1: they will be deported because unlawful entry into the United

1388
01:36:38,240 --> 01:36:41,360
Speaker 1: States is a crime and it is a deportable offense.

1389
01:36:41,680 --> 01:36:44,000
Speaker 1: In terms of talking to your daughter, though, I'm so

1390
01:36:44,160 --> 01:36:47,719
Speaker 1: glad you raise this point though, Mike, so so glad.

1391
01:36:48,400 --> 01:36:52,760
Speaker 1: It is because again, you and your daughter are not

1392
01:36:53,680 --> 01:36:57,639
Speaker 1: You're not seeing the same reality right. What you are

1393
01:36:57,680 --> 01:37:02,559
Speaker 1: seeing is okay. Here is the objective reality. Ice is

1394
01:37:02,880 --> 01:37:08,720
Speaker 1: enforcing immigration laws. We have never before had massive widespread

1395
01:37:08,880 --> 01:37:14,519
Speaker 1: violence and rioting against the lawful enforcement of immigration law.

1396
01:37:15,120 --> 01:37:17,880
Speaker 1: There were And what I would actually do. I don't

1397
01:37:17,880 --> 01:37:19,800
Speaker 1: have the stats in front of me right now, Mike,

1398
01:37:20,160 --> 01:37:22,559
Speaker 1: but I would say, hey to your daughter. I would say, hey, look,

1399
01:37:22,640 --> 01:37:25,519
Speaker 1: I totally get it, and I understand it. But I

1400
01:37:25,560 --> 01:37:29,040
Speaker 1: want you to think about this. Why is it Why

1401
01:37:29,160 --> 01:37:34,599
Speaker 1: is it that Minnesota accounts for just a tiny number

1402
01:37:35,120 --> 01:37:39,920
Speaker 1: of the deportation actions in this country? Do you know

1403
01:37:39,960 --> 01:37:41,880
Speaker 1: there were ice Did you know there was an ice

1404
01:37:41,920 --> 01:37:46,639
Speaker 1: surgeon Maine? For goodness sakes, it stopped now, but there

1405
01:37:46,680 --> 01:37:49,840
Speaker 1: was an ice surgeon made. There's been one in Florida,

1406
01:37:49,920 --> 01:37:54,200
Speaker 1: There's been one in Texas for some time. Now. Why

1407
01:37:54,280 --> 01:37:58,320
Speaker 1: are there not these violent clashes? It's because people aren't

1408
01:37:58,360 --> 01:38:02,400
Speaker 1: being radicalized. I would also look up the statistics, Mike

1409
01:38:02,960 --> 01:38:08,240
Speaker 1: on how many people were deported by Bill Clinton, George W. Bush.

1410
01:38:08,360 --> 01:38:11,960
Speaker 6: Oh, oh, oh, I already have I've done that. Obama

1411
01:38:12,240 --> 01:38:15,439
Speaker 6: means more people died under Obama. Bush was more people

1412
01:38:15,520 --> 01:38:18,400
Speaker 6: died under ice. Bush was the number one. Obama was

1413
01:38:18,479 --> 01:38:23,800
Speaker 6: number two. Now, Dan still, this is really important here

1414
01:38:23,800 --> 01:38:29,599
Speaker 6: because I'm living this. You're touting facts. I agree with you.

1415
01:38:30,160 --> 01:38:34,599
Speaker 6: My daughter is a young liberal teacher in a liberal

1416
01:38:34,720 --> 01:38:38,400
Speaker 6: area with all her friends. These facts are not going

1417
01:38:38,479 --> 01:38:41,640
Speaker 6: to get through because it's just emotion, the TV, the

1418
01:38:41,760 --> 01:38:46,040
Speaker 6: social media, it's it's and there is. Again you pointed

1419
01:38:46,040 --> 01:38:48,599
Speaker 6: it out, there is a shred of truth. There are

1420
01:38:48,680 --> 01:38:51,200
Speaker 6: people and I know someone who someone went into someone's

1421
01:38:51,240 --> 01:38:54,519
Speaker 6: work to pick somebody up, to detain them. They were legal,

1422
01:38:54,560 --> 01:38:57,480
Speaker 6: but they were gone for days. So there are shreds

1423
01:38:57,520 --> 01:39:00,200
Speaker 6: of things that are there. If you look at that

1424
01:39:00,320 --> 01:39:03,479
Speaker 6: video closely, what happened that gun was pulled away?

1425
01:39:04,720 --> 01:39:07,559
Speaker 1: And yeah, but well, what I would do? What I

1426
01:39:07,560 --> 01:39:09,280
Speaker 1: would do on that score? What I would do on

1427
01:39:09,320 --> 01:39:13,479
Speaker 1: that score, Mike, uh is? I mean, if she wants

1428
01:39:13,560 --> 01:39:17,000
Speaker 1: to watch my entire ten minute debunking video, that would

1429
01:39:17,040 --> 01:39:19,960
Speaker 1: be what I It doesn't matter when they established gun

1430
01:39:20,000 --> 01:39:23,080
Speaker 1: gun gun, He had a gun. He is reaching into

1431
01:39:23,120 --> 01:39:26,080
Speaker 1: his waistband very quickly, whether or not the gun was

1432
01:39:26,160 --> 01:39:28,599
Speaker 1: still there. So long as there's a reasonable belief of

1433
01:39:28,640 --> 01:39:31,839
Speaker 1: death or great bodily harm, it is a justified shooting.

1434
01:39:31,840 --> 01:39:34,160
Speaker 1: But I totally see what you're saying. I think, Mike,

1435
01:39:34,240 --> 01:39:36,480
Speaker 1: if I may, if I may as a father myself,

1436
01:39:38,600 --> 01:39:40,920
Speaker 1: you have to cut all ties with her. I'm sorry, No,

1437
01:39:41,000 --> 01:39:43,200
Speaker 1: I'm just I'm kidding. I'm kidding. I'm a kidding, Yeah,

1438
01:39:43,240 --> 01:39:43,920
Speaker 1: totally kidding.

1439
01:39:43,960 --> 01:39:46,120
Speaker 6: That's the problem is she doesn't want to talk with me.

1440
01:39:46,360 --> 01:39:46,639
Speaker 7: You know.

1441
01:39:48,520 --> 01:39:51,760
Speaker 1: That sucks, man, It really does, like honestly, like from

1442
01:39:51,840 --> 01:39:55,000
Speaker 1: one dad to another. And you know, mine's eleven, and

1443
01:39:55,800 --> 01:39:57,840
Speaker 1: you know she she doesn't want to talk to me

1444
01:39:57,880 --> 01:40:01,360
Speaker 1: when I when I turn off you know, Charlie XCX

1445
01:40:01,439 --> 01:40:04,000
Speaker 1: or Taylor Swift or something like that off the radio

1446
01:40:04,120 --> 01:40:06,559
Speaker 1: because I want to listen to you know, Clay and Buck.

1447
01:40:06,960 --> 01:40:07,080
Speaker 6: Uh.

1448
01:40:07,760 --> 01:40:10,800
Speaker 1: But it is very difficult. And this is sort of

1449
01:40:10,840 --> 01:40:13,760
Speaker 1: what my wife has been talking about. I'm talking about

1450
01:40:13,760 --> 01:40:17,720
Speaker 1: the Missus O'Donnell theory, where it's like your daughter just

1451
01:40:17,880 --> 01:40:23,280
Speaker 1: consumes com she consumes a completely different reality than you do,

1452
01:40:23,840 --> 01:40:27,200
Speaker 1: and it's a reality that isn't actually based in fact,

1453
01:40:27,840 --> 01:40:31,040
Speaker 1: but rather based in liberal narratives. For example, did she

1454
01:40:31,680 --> 01:40:36,000
Speaker 1: would she have ever seen the video of Alex pretty

1455
01:40:36,800 --> 01:40:41,320
Speaker 1: violently resisting and spitting on the ice agent's cars a

1456
01:40:41,360 --> 01:40:43,840
Speaker 1: week and a half before he was killed and kicking

1457
01:40:43,920 --> 01:40:47,160
Speaker 1: out the tail right, No, she would have never seen that.

1458
01:40:48,040 --> 01:40:50,719
Speaker 1: She wouldn't believe it. She'd be one of the ones.

1459
01:40:50,840 --> 01:40:53,320
Speaker 1: She'd be one of the ones. Like in my Facebook page,

1460
01:40:53,920 --> 01:40:59,240
Speaker 1: in my Facebook comment section, it's Ai, it's Ais. I mean,

1461
01:40:59,280 --> 01:41:01,400
Speaker 1: I've never seen you know what and you know what

1462
01:41:01,479 --> 01:41:04,840
Speaker 1: this is, Mike. It's called cognitive dissonance. It's and I

1463
01:41:04,880 --> 01:41:07,479
Speaker 1: mean you and I both have it. It's we our

1464
01:41:07,560 --> 01:41:14,760
Speaker 1: brains actively reject information that contradicts our worldview. And it's very,

1465
01:41:14,840 --> 01:41:17,800
Speaker 1: very difficult. I mean, the best thing I can tell you,

1466
01:41:18,360 --> 01:41:23,320
Speaker 1: Mike is to keep talking, keep trying. Ultimately, though it's

1467
01:41:23,360 --> 01:41:26,519
Speaker 1: your daughter, you love her, there is way more to

1468
01:41:26,640 --> 01:41:31,000
Speaker 1: talk about than alex pretty and Minnesota. Talk about that.

1469
01:41:31,240 --> 01:41:33,760
Speaker 1: Remember how much you love her. I know she will

1470
01:41:33,800 --> 01:41:38,680
Speaker 1: always love her dad and and folks, honestly, you know,

1471
01:41:39,320 --> 01:41:42,759
Speaker 1: to to all people who have you know, in their family,

1472
01:41:42,800 --> 01:41:48,320
Speaker 1: and I know it's especially difficult with kids who go

1473
01:41:48,400 --> 01:41:51,080
Speaker 1: off to college and and come back lives. I'm taking

1474
01:41:51,120 --> 01:41:55,040
Speaker 1: a whild guess my high school senior is probably not

1475
01:41:56,600 --> 01:41:58,760
Speaker 1: you should You should hear him talk about some of

1476
01:41:58,760 --> 01:42:01,760
Speaker 1: this stuff as actually man, it's like, well, it's like

1477
01:42:01,800 --> 01:42:04,000
Speaker 1: talking to me as an eighteen year old, only I

1478
01:42:04,160 --> 01:42:08,559
Speaker 1: was nowhere near as well versed about the body politic.

1479
01:42:08,640 --> 01:42:10,960
Speaker 1: My fifteen year old son on the way to his

1480
01:42:11,040 --> 01:42:15,639
Speaker 1: soccer game, and he's just ripping on the left and

1481
01:42:15,680 --> 01:42:19,519
Speaker 1: on people on TikTok, because do you remember before the

1482
01:42:19,560 --> 01:42:21,920
Speaker 1: Alex Pretty shooting, we were talking about this last week

1483
01:42:22,240 --> 01:42:23,800
Speaker 1: when they made up the fact that they were like

1484
01:42:23,880 --> 01:42:26,800
Speaker 1: ice arrested a five year old. My fifteen year old

1485
01:42:26,880 --> 01:42:29,360
Speaker 1: was like this, this is insane, Like this is so

1486
01:42:29,560 --> 01:42:32,280
Speaker 1: easily debunked. So I don't think I have to worry

1487
01:42:32,280 --> 01:42:37,280
Speaker 1: about them. But with respect to kids who don't share

1488
01:42:37,360 --> 01:42:41,840
Speaker 1: your political beliefs, trust me, at some point most of

1489
01:42:41,880 --> 01:42:45,599
Speaker 1: them come around when they start seeing how much money

1490
01:42:45,720 --> 01:42:49,760
Speaker 1: vanishes out of their paycheck and what Democrats do with

1491
01:42:49,840 --> 01:42:53,240
Speaker 1: the money that they take. Great call, Mike, and thank

1492
01:42:53,280 --> 01:42:59,479
Speaker 1: you so much for it. Just taking a look at

1493
01:42:59,479 --> 01:43:04,719
Speaker 1: our advent dot com talk and text line and yeah,

1494
01:43:04,800 --> 01:43:09,439
Speaker 1: sounds like a lot of people are in Mike's boat, folks.

1495
01:43:09,640 --> 01:43:12,960
Speaker 1: I'm not there yet. I'm obviously a bit younger than

1496
01:43:13,200 --> 01:43:16,240
Speaker 1: a lot of our listeners, at least that are that

1497
01:43:16,320 --> 01:43:19,640
Speaker 1: are listening to us on the radio. You know, a

1498
01:43:19,640 --> 01:43:22,680
Speaker 1: lot of you have adult children. My oldest is eighteen,

1499
01:43:23,320 --> 01:43:26,120
Speaker 1: and we sort of got started a little younger, although

1500
01:43:27,000 --> 01:43:29,040
Speaker 1: you know, if you think about it, my wife was

1501
01:43:29,080 --> 01:43:31,680
Speaker 1: still she was still getting her master's. I was just

1502
01:43:31,720 --> 01:43:34,559
Speaker 1: out of law school when we had our oldest and

1503
01:43:34,840 --> 01:43:39,720
Speaker 1: I was twenty five, twenty five, twenty six, she was

1504
01:43:39,760 --> 01:43:43,200
Speaker 1: twenty four to twenty five somewhere in there, and we

1505
01:43:43,200 --> 01:43:46,160
Speaker 1: were thinking, oh my gosh, we're so young. We would

1506
01:43:46,200 --> 01:43:50,000
Speaker 1: have been throughout the whole of human history like old parents.

1507
01:43:50,760 --> 01:43:56,200
Speaker 1: You know, it is remarkable. But so we're not there

1508
01:43:56,320 --> 01:43:59,320
Speaker 1: where the kids are. I mean, they do have their

1509
01:43:59,400 --> 01:44:03,879
Speaker 1: own political philosophy. It's it's not like they're just parroting

1510
01:44:03,920 --> 01:44:06,479
Speaker 1: whatever it is. Dad says, Heaven knows, they don't really

1511
01:44:06,560 --> 01:44:10,120
Speaker 1: listen to me on the radio. Uh, but obviously, you know,

1512
01:44:10,160 --> 01:44:13,040
Speaker 1: we've we've been talking about this stuff in the family

1513
01:44:13,080 --> 01:44:16,439
Speaker 1: and in the home for many many years, and pretty

1514
01:44:16,479 --> 01:44:19,880
Speaker 1: much everybody in our extended families, my wife's parents, my

1515
01:44:20,000 --> 01:44:25,479
Speaker 1: parents are very, very conservative, and uh, I can imagine

1516
01:44:25,520 --> 01:44:28,280
Speaker 1: it's got to be difficult because you listen to a

1517
01:44:28,320 --> 01:44:32,600
Speaker 1: show like mine or Vicky or Jason or Ben or

1518
01:44:32,680 --> 01:44:37,759
Speaker 1: Clay and Buck, and you get objective truth, objective fact

1519
01:44:38,040 --> 01:44:41,680
Speaker 1: that that's that's what we do. I always say this way,

1520
01:44:41,720 --> 01:44:44,719
Speaker 1: I say conservative thought, not just talk. It's the truth

1521
01:44:44,760 --> 01:44:47,880
Speaker 1: and nothing. But it's a tour de force of truth.

1522
01:44:47,920 --> 01:44:52,160
Speaker 1: That's it. That's that's what we bill ourselves. As you know,

1523
01:44:52,479 --> 01:44:56,600
Speaker 1: people ask me, they're like, the most condescending question I

1524
01:44:56,600 --> 01:45:00,599
Speaker 1: think I get is do you really believe the things

1525
01:45:00,640 --> 01:45:04,880
Speaker 1: you say on the radio? What I tell people is,

1526
01:45:05,560 --> 01:45:07,840
Speaker 1: whenever someone asked me that question, to be a jerk.

1527
01:45:07,880 --> 01:45:09,920
Speaker 1: And let's just let's you know, I can see through

1528
01:45:09,960 --> 01:45:12,200
Speaker 1: you right away when you ask that question, it's to

1529
01:45:12,240 --> 01:45:14,559
Speaker 1: be a jerk. I say, I don't believe anything. The

1530
01:45:14,600 --> 01:45:16,600
Speaker 1: only thing I say are things I can prove you

1531
01:45:16,760 --> 01:45:20,519
Speaker 1: do you do? Likewise, I'm guessing you don't. You just

1532
01:45:20,680 --> 01:45:25,759
Speaker 1: sort of regurgitate whatever you sort of hear on MS

1533
01:45:25,800 --> 01:45:30,639
Speaker 1: now or on some TikTok by someone screeching about Ice

1534
01:45:30,680 --> 01:45:38,520
Speaker 1: being Nazis. But appeals to emotion and the logical fallacy

1535
01:45:38,640 --> 01:45:43,160
Speaker 1: that our listener, Mike's daughter was engaged in is the

1536
01:45:45,000 --> 01:45:48,879
Speaker 1: it's an appeal to it's an anecdote. It's anecdotal evidence,

1537
01:45:49,080 --> 01:45:53,000
Speaker 1: is the absolutely it's not actually evidence at all. So

1538
01:45:53,400 --> 01:45:56,960
Speaker 1: for example, I had a devil of a time getting

1539
01:45:56,960 --> 01:46:02,360
Speaker 1: a prescription filled at Walgreens. Okay, it was terrible, terrible time.

1540
01:46:02,640 --> 01:46:05,759
Speaker 1: It was not their fault. It was a manufacturer's coupon

1541
01:46:05,960 --> 01:46:08,160
Speaker 1: and it was just some snaffoo. We had to actually

1542
01:46:08,200 --> 01:46:11,320
Speaker 1: call the manufacturer, who said it happens all the time.

1543
01:46:11,360 --> 01:46:13,960
Speaker 1: It's just one of those things. I was at Walgreens

1544
01:46:14,000 --> 01:46:16,839
Speaker 1: for something like three straight days trying to get this fixed.

1545
01:46:18,600 --> 01:46:24,160
Speaker 1: If I said Walgreens is a terrible pharmacy because of this,

1546
01:46:24,920 --> 01:46:28,679
Speaker 1: well Walgreens has. I was watching the other people behind

1547
01:46:28,720 --> 01:46:31,519
Speaker 1: me in life. They had no issues whatsoever. It was

1548
01:46:31,560 --> 01:46:36,320
Speaker 1: just my prescription. That would be a terrible argument because

1549
01:46:36,360 --> 01:46:41,880
Speaker 1: it would be easily disproven. That's objective reality. But to me,

1550
01:46:43,160 --> 01:46:45,160
Speaker 1: I could say, well, to me, Walgreens is the way.

1551
01:46:45,360 --> 01:46:48,600
Speaker 1: Just so we're clear, I'm in Walgreens constant. I love Walgreens.

1552
01:46:48,600 --> 01:46:51,840
Speaker 1: I shop at Walgreens all the freaking time. It's just

1553
01:46:52,160 --> 01:46:57,760
Speaker 1: it's so convenient. I I love it. But you see

1554
01:46:57,800 --> 01:47:03,280
Speaker 1: how reality can shift based on perspective. So it's essentially

1555
01:47:03,280 --> 01:47:08,479
Speaker 1: a fallacy. It's it's arguing from personal experience that might

1556
01:47:08,640 --> 01:47:11,839
Speaker 1: or might not be relevant, and you are one person

1557
01:47:11,920 --> 01:47:13,920
Speaker 1: in a nation of three hundred and forty million, but

1558
01:47:13,960 --> 01:47:15,639
Speaker 1: it doesn't matter. This is this is why the left

1559
01:47:15,640 --> 01:47:21,559
Speaker 1: always thought, oh, well, my truth, I am living my truth. Great,

1560
01:47:22,160 --> 01:47:23,960
Speaker 1: I have my truth. You have your truth. There is

1561
01:47:24,000 --> 01:47:32,400
Speaker 1: also the truth, and the truth is that the opinion

1562
01:47:32,560 --> 01:47:37,800
Speaker 1: that the inflammatory rhetoric that is being spewed by people

1563
01:47:37,800 --> 01:47:43,040
Speaker 1: who would know better is especially effective on people who

1564
01:47:43,080 --> 01:47:48,880
Speaker 1: who don't have a grounding in actual fact. Like if

1565
01:47:48,960 --> 01:47:52,439
Speaker 1: I were to tell our listener's daughter or any of

1566
01:47:52,479 --> 01:47:55,639
Speaker 1: your sons or daughters who are who are left of center,

1567
01:47:57,240 --> 01:48:00,000
Speaker 1: if I were to tell them that fifty percent, five

1568
01:48:00,439 --> 01:48:07,040
Speaker 1: zero half of America's Border Patrol agents are Hispanic, would

1569
01:48:07,040 --> 01:48:12,080
Speaker 1: they accept that? So? So Border Patrol is this horrible

1570
01:48:12,200 --> 01:48:17,320
Speaker 1: racist entity against Hispanics, but they hire mostly Hispanics. Just

1571
01:48:17,640 --> 01:48:23,400
Speaker 1: so I'm clear, ICE hates Hispanic people. Yet a third

1572
01:48:23,720 --> 01:48:29,760
Speaker 1: of ICE is Hispanic. An additional something like fifteen seventeen

1573
01:48:29,840 --> 01:48:33,280
Speaker 1: percent I believe the number is is black. You on

1574
01:48:33,400 --> 01:48:39,400
Speaker 1: that half of ICE agents are black or Latino, but

1575
01:48:39,680 --> 01:48:44,479
Speaker 1: these are the racist Nazis. How many people would would

1576
01:48:44,760 --> 01:48:47,439
Speaker 1: how many people on the left would even accept that

1577
01:48:48,280 --> 01:48:50,439
Speaker 1: or just assume, well, that comes from Dan O'Donnell. He's

1578
01:48:50,520 --> 01:48:56,200
Speaker 1: lying once again, that's that's a fallacy, that's attacking the

1579
01:48:56,240 --> 01:48:59,840
Speaker 1: sources argument to Matt hominam don't deal with the subs

1580
01:49:00,360 --> 01:49:03,680
Speaker 1: of the argument, and it's got to be tough. I

1581
01:49:03,720 --> 01:49:09,799
Speaker 1: could only imagine how difficult it is arguing with someone

1582
01:49:09,840 --> 01:49:15,920
Speaker 1: who just does not listen to objective reality and just

1583
01:49:16,160 --> 01:49:20,760
Speaker 1: will not accept the facts. Oh wait, I know exactly

1584
01:49:20,760 --> 01:49:24,519
Speaker 1: what that's like. I have a wife. I'm just kidding, honey,

1585
01:49:25,280 --> 01:49:30,360
Speaker 1: I'm kidding. So if anybody's got like a spare bedroom

1586
01:49:30,400 --> 01:49:32,439
Speaker 1: tonight for me to sleep in, that that'd be awesome.

1587
01:49:32,479 --> 01:49:34,240
Speaker 1: We'll be right back. You're on the Dan O'Donnell show.

1588
01:49:35,720 --> 01:49:37,240
Speaker 1: All right, folks, I know a lot of you are

1589
01:49:37,280 --> 01:49:41,840
Speaker 1: concerned about me. Wife, said Violin lessens with the kids.

1590
01:49:42,080 --> 01:49:47,479
Speaker 1: I don't think she heard. I kid. I kid because

1591
01:49:47,520 --> 01:49:51,680
Speaker 1: I love well, especially after I always talk about her.

1592
01:49:51,760 --> 01:49:57,840
Speaker 1: She is remarkably insightful, especially when it comes to algorithmic programming,

1593
01:49:58,400 --> 01:50:03,120
Speaker 1: the psychology of news in the digital age, how we

1594
01:50:03,160 --> 01:50:08,439
Speaker 1: get information, information consumption, all of that. You would think

1595
01:50:08,479 --> 01:50:12,160
Speaker 1: she would have gone to school for sociology or sociology

1596
01:50:12,280 --> 01:50:15,920
Speaker 1: or something like that. But no. I got in a

1597
01:50:15,960 --> 01:50:19,719
Speaker 1: little dig about how I'm used to arguing with someone

1598
01:50:19,760 --> 01:50:23,759
Speaker 1: who doesn't go by facts her logic, but rather pure emotion.

1599
01:50:23,840 --> 01:50:26,679
Speaker 1: I have a wife, and I was saying, I'm sleeping

1600
01:50:26,760 --> 01:50:29,920
Speaker 1: on the couch tonight. I'm getting kicked out. She doesn't

1601
01:50:29,920 --> 01:50:33,120
Speaker 1: even need me. She's got the puppy who has graduated

1602
01:50:33,160 --> 01:50:38,439
Speaker 1: to our bed very very quickly. And yeah, I'm going

1603
01:50:38,520 --> 01:50:41,240
Speaker 1: to I'm going to assume I may be kicked out

1604
01:50:41,280 --> 01:50:44,760
Speaker 1: of the bed tomorrow night, regardless. Puppy's got to get

1605
01:50:44,880 --> 01:50:49,120
Speaker 1: rabies shots. So I'm assuming she's going to have a big,

1606
01:50:49,160 --> 01:50:54,840
Speaker 1: elaborate setup that takes up most of my side of

1607
01:50:54,880 --> 01:50:59,920
Speaker 1: the bed. It is difficult, though, I will admit talking

1608
01:51:00,120 --> 01:51:05,160
Speaker 1: with and I've actually got a little introduction into or

1609
01:51:05,160 --> 01:51:07,719
Speaker 1: at least a little taste. I mean, folks, you would

1610
01:51:07,720 --> 01:51:13,400
Speaker 1: not believe some of the just truly putrid messages that

1611
01:51:13,439 --> 01:51:17,080
Speaker 1: I get on a daily basis. I really should limit

1612
01:51:17,880 --> 01:51:23,120
Speaker 1: Facebook messages to just followers, but I can't resist because

1613
01:51:23,240 --> 01:51:25,719
Speaker 1: I have fun. You know. We do a silly little

1614
01:51:25,720 --> 01:51:30,120
Speaker 1: bit where I read angry emails in a British accent

1615
01:51:30,240 --> 01:51:35,400
Speaker 1: to make them sound classy. But everyone, there is very

1616
01:51:35,479 --> 01:51:40,240
Speaker 1: little substantive arguing of any point that I raise. It's

1617
01:51:40,280 --> 01:51:45,400
Speaker 1: invariably you are a Nazi, bleep you all manner of insults,

1618
01:51:46,120 --> 01:51:50,320
Speaker 1: and it really does speak to the fact that the

1619
01:51:50,520 --> 01:51:55,479
Speaker 1: typical persuasion mechanisms that you would think would work on

1620
01:51:55,920 --> 01:51:59,479
Speaker 1: most normal human beings do not work on a whole

1621
01:51:59,479 --> 01:52:03,320
Speaker 1: lot of lips. And I do believe a big part

1622
01:52:03,360 --> 01:52:07,760
Speaker 1: of that is because they have lost the ability to argue.

1623
01:52:07,840 --> 01:52:13,040
Speaker 1: They have lost the ability to logically process information and then,

1624
01:52:13,920 --> 01:52:16,960
Speaker 1: in a manner in which you might be subject to

1625
01:52:17,000 --> 01:52:21,800
Speaker 1: criticism or pushback on your beliefs, present your ideas. This

1626
01:52:22,000 --> 01:52:24,080
Speaker 1: is why, I mean, I guess I'll do it again.

1627
01:52:24,280 --> 01:52:29,760
Speaker 1: I've been challenging pretty openly. Madison Congressman Mark Pokak, Come

1628
01:52:29,800 --> 01:52:34,040
Speaker 1: on this show. We'll go for a full hour. I mean,

1629
01:52:34,320 --> 01:52:39,120
Speaker 1: I'm the biggest talk show in your city, like in

1630
01:52:39,160 --> 01:52:45,000
Speaker 1: your congressional district. Just come on in debate, present your ideas.

1631
01:52:45,760 --> 01:52:49,599
Speaker 1: He's not going to do it because he's not able

1632
01:52:49,680 --> 01:52:55,360
Speaker 1: to logically defend. All he can do is insult, obfiscate.

1633
01:52:56,200 --> 01:52:59,640
Speaker 1: And I do believe that a big reason for that

1634
01:53:00,520 --> 01:53:06,559
Speaker 1: is because people exist in an ideological bubble. You can

1635
01:53:06,600 --> 01:53:10,360
Speaker 1: go as a liberal, you can go for months without

1636
01:53:10,479 --> 01:53:15,320
Speaker 1: ever seeing your views challenged just by consuming the media

1637
01:53:15,400 --> 01:53:18,799
Speaker 1: that you consume. Conservatives, we do not have that luxury

1638
01:53:18,840 --> 01:53:21,600
Speaker 1: to turn on an Award show for goodness sakes, and

1639
01:53:21,600 --> 01:53:24,280
Speaker 1: you're called a Nazi. Dan o'donald Show coming right back

1640
01:53:24,439 --> 01:53:28,720
Speaker 1: after this, The Dan o'donald's Show. Just enough time to

1641
01:53:28,840 --> 01:53:33,919
Speaker 1: say good night, hope all of you have a wonderful evening.

1642
01:53:34,000 --> 01:53:37,000
Speaker 1: We are out of time on the program. Back tomorrow,

1643
01:53:37,160 --> 01:53:40,639
Speaker 1: Talk Radio Roulette, how bizarre, and a whole lot more fun.

1644
01:53:40,800 --> 01:53:42,760
Speaker 1: Talk to you then here on The Dan o'donald Show.