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Speaker 1: It is so close now you can almost taste it.

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Speaker 1: Christmas less than a week away. Many school children just

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Speaker 1: getting out for the long winter's break, parents already dreading

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Speaker 1: how they're going to keep those kids occupied while they

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Speaker 1: run out to do last minute shopping gift wrapping. Rest assured,

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Speaker 1: ladies and gentlemen, I am right there with you. The

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Speaker 1: holiday hustle and bustle now turns to stress and worry.

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Speaker 1: But I can tell you with absolute certainty, fear not,

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Speaker 1: everything will get done. It always does. Things have a

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Speaker 1: way of working out, especially around the holidays. And what

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Speaker 1: did I tell you? Things would very likely work out

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Speaker 1: in the Hannah Dugan case as well. Judge Dugan, of course,

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Speaker 1: as you all know, by now convicted on the more

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Speaker 1: serious federal felony charge of obstruction of process, she was

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Speaker 1: a quit by a federal jury late last night of

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Speaker 1: the less serious charge, a federal misdemeanor of concealing a

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Speaker 1: person from arrest. What does that mean? Will the jury's

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Speaker 1: verdict actually stand? We will discuss all of this and

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Speaker 1: what does this mean in a larger sense as the

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Speaker 1: protest crowd, which of course the Milwaukee Journal Sentinel dutifully

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Speaker 1: got comment from they say they're very scared. They say

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Speaker 1: they're very scared and worried about what will happen now

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Speaker 1: that the federal government is actually prosecuting people for obstructing

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Speaker 1: law enforcement, you know, an actual crime. We will cover

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Speaker 1: that from all angles. Plus a major announcement at the

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Speaker 1: White House today, nine more prescription drug companies signing on

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Speaker 1: to President Trump's most favored nation agreements and being part

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Speaker 1: of trumparx dot gov is a big step towards affordability.

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Speaker 1: We will discuss that in much more. The late on

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Speaker 1: the Brown University and MIT professor Murders. Law enforcement now

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Speaker 1: says that the same now deceased suspect was responsible for

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Speaker 1: both of those And now we have terrorism across the

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Speaker 1: world actually working, as cities around the world are now

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Speaker 1: canceling New Year's Eve celebrations as they are worried about

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Speaker 1: Islamist terror. It is Friday, and in fact the Friday

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Speaker 1: before Christmas, so we will have an extra special, probably

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Speaker 1: extra long, how bizarre. A whole lot of weird stories

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Speaker 1: in the news this week. We will run them down

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Speaker 1: in the five o'clock hour. Of course, The Unhinged Liberal

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Speaker 1: of the Day coming up later this hour, and much

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Speaker 1: much more here on the Friday edition of the Dan

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Speaker 1: o'donald's Show. If you would like to join us four

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Speaker 1: one four seven nine to nine eleven thirty. That's OURTNOS

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Speaker 1: dot com talk and text line. You can also reach

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

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Speaker 1: four seven six. And we're going to actually open up

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Speaker 1: the phone lines right away. I mean, we always keep

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Speaker 1: the phone lines open, but I am actively soliciting calls

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Speaker 1: because I know people have a lot of questions about

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Speaker 1: what comes next in the Hannah Dugan case. I know

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Speaker 1: a lot of people have comments about the Dugan case.

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Speaker 1: This actually is significant. It is not just one criminal case,

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Speaker 1: but this is a pervasive attitude on the political left

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Speaker 1: that has emboldened them to believe that because they don't

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Speaker 1: like a particular law enforcement agency. This year, it's Ice.

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Speaker 1: In years past it was the Minneapolis Police Department, or

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Speaker 1: throughout twenty twenty police departments generally. But this case is

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Speaker 1: a cold reminder that not only is it a serious

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Speaker 1: crime to interfere with law enforcement activity or to try

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Speaker 1: to actively hide somebody, you cannot simply take the law

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Speaker 1: into your own hands. And in fact, as the left

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Speaker 1: was very proud of saying very prone to saying no

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Speaker 1: one is above the law. Now, they said that throughout

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Speaker 1: twenty twenty two and twenty twenty three when it was

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Speaker 1: Donald Trump who was facing ridiculous criminal charges. Now that

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Speaker 1: people like Hannah Dugan aren't just being charged, but now

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Speaker 1: we're seeing convictions for their criminal activity, Suddenly some people

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Speaker 1: are actually above the law. You can email me DoD

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Speaker 1: at iHeartMedia dot com at Dan O'donnald' show on x

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Speaker 1: on Facebook, on Instagram. We are streaming live across social

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Speaker 1: media as well as on our YouTube channel, search as

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Speaker 1: there or iHeartRadio. Please do subscribe like follow, thumbs up,

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Speaker 1: heart poop emoji whatever the Dan o'donald show podcast on

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Speaker 1: iHeartRadio or wherever you listen to podcasts. We will work

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Speaker 1: in your calls and your texts on the Anna Dugan case.

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Speaker 1: US Attorney Brad Shimmel, he is the temporary US attorney

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Speaker 1: because of course Senator Tammy Baldwin will refuse to consent

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Speaker 1: to allowing Shimmel to be serving in a permanent capacity

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Speaker 1: even though he is eminently qualified. He is essentially the

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Speaker 1: temporary US attorney. We will discuss why coming up later

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Speaker 1: on in the show for those who missed. When he

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Speaker 1: was appointed on a tentative on a temporary basis, he

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Speaker 1: actually had a wonderful summation about what this case really was.

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Speaker 1: Hannah Dugan isn't an evil person, nor is she a

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Speaker 1: heroin nor is she a martyr for the great cause

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Speaker 1: of standing up to Trump and his ice brown shirts.

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Speaker 1: This was simply a case about someone who committed a

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Speaker 1: crime and the justice system worked as it was supposed to.

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Speaker 2: We all need to keep this case in proper perspective

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Speaker 2: hope that all viewers, readers, listeners will pay attention to this.

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Speaker 2: Some have sought to make this about a larger political battle.

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Speaker 2: While this case is serious for all involved, it is

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Speaker 2: ultimately about a single day, a single bad day in

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Speaker 2: a public courthouse. The defendant is certainly not evil, nor

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Speaker 2: is she a martyr for some greater cause. It was

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Speaker 2: a criminal case, like many that make their way through

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Speaker 2: this courthouse every day, and we all must accept the

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Speaker 2: verdict peacefully.

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Speaker 1: Now. Fortunately for us, Hannah Dugan was an old white lady,

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Speaker 1: so there were no racial justice mobs taking to the streets.

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Speaker 1: In fact, the big protest in support of Hanna Dugan

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Speaker 1: on the first day of her trial on Monday, it

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Speaker 1: had about maybe sixteen Boomers with their signs and gray

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Speaker 1: scraggly hare showing up on the federal courthouse steps. But

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Speaker 1: this was a case that did speak to a larger trend,

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Speaker 1: and that is the utter lawlessness on the political left

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Speaker 1: when they believe, as Hannah Dugan did, that her personal

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Speaker 1: convictions and her personal morality must necessarily trump the law

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Speaker 1: of the land when Trump is the chief enforcer of

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Speaker 1: the law, because Trump as the greatest evil the world

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Speaker 1: has ever known, in their minds, enforcing the law must

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Speaker 1: amount to some sort of totalitarianism. If you'll remember, in

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Speaker 1: the very outset of Trump's first term, what did the

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Speaker 1: people who oppose him call themselves the resistance? The implication

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Speaker 1: was they were like the French resistance under VC France.

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Speaker 1: They were fighting against the Nazis, they were fighting against

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Speaker 1: Nazi occupation. Well, when you view as people like Dugan

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Speaker 1: undoubtedly do, Trump is this great, unspeakable evil, you also

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Speaker 1: necessarily view him and view any action that he orders

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Speaker 1: under his illegitimate rule as thus illegitimate. Therefore, the deportation

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Speaker 1: raids which have always gone on, we have always been

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Speaker 1: deporting people, especially violent illegal aliens like Eduardo Flores Ruiz,

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Speaker 1: who break our laws, or we are authorized as a

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Speaker 1: country and ICE agents are deputized as a law enforcement

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Speaker 1: agency to deport people whose only crime was entering this

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Speaker 1: country illegally, people like Hannah Dugan. And trust me, folks,

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Speaker 1: there are millions of Hanna Dugans across the country. They're

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Speaker 1: now bemoaning the verdict and saying how unfair it was,

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Speaker 1: and that Hannah Dugan is is a hero, that Hanna

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Speaker 1: Dugan should somehow be exalted. They honestly believe that the

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Speaker 1: peace people who came into this country illegally did not

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Speaker 1: actually commit a crime. They did. When you hear stats

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Speaker 1: about how immigrants commit crimes at a much lower rate

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Speaker 1: than American born citizens, that's incredibly misleading. Legal immigrants sure

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Speaker 1: that crime rate is much lower for illegal immigrants. The

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Speaker 1: crime rate is one hundred percent. Every single person who

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Speaker 1: entered this country illegally is guilty of unlawful entry. That

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Speaker 1: is a federal crime. Every single person who has entered

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Speaker 1: this country after they were already removed is guilty of

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Speaker 1: a felony that is a serious federal crime. The idea

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Speaker 1: that somehow this country cannot police who is in it,

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Speaker 1: who is taking advantage of generous social services while not

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Speaker 1: being a citizen or not being legally authorized to be here.

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Speaker 1: That somehow the United States doesn't have the autonomy the

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Speaker 1: United States does, doesn't have the ability to be able

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Speaker 1: to police its own borders, or at least at the

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Speaker 1: very least know who's actually in this country. Quick, how

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Speaker 1: many illegal immigrants are currently in the United States. If

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Speaker 1: you have an answer in your head, you're wrong. Nobody knows.

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Speaker 1: It's an unknowable thing. We have no idea what this

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Speaker 1: country's actual population is, and we have no idea what

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Speaker 1: this country's actual population of illegals is. Hannah Dugan attempted

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Speaker 1: to stand up for what she thought was a just

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Speaker 1: and noble cost, standing up for all of those innocent,

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Speaker 1: hardworking people against Donald Trump and his wicked brown shirts

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Speaker 1: who were terrorizing them in the streets. In that sense,

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Speaker 1: Shimmel is right. Dugan's not an evil person. She's an idiot.

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Speaker 1: She honestly believes the of the left. She has been

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Speaker 1: a menace on the Milwaukee County bench for decades because

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Speaker 1: of her lenient sentencing. She has always had a soft

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Speaker 1: spot for the dregs of society that come before her,

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Speaker 1: appearing to care very little, if anything, about their victims.

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Speaker 1: Case in point, she actually helped shuttle this violent illegal

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Speaker 1: who was charged with viciously beating and strangling his roommate

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Speaker 1: and then attacking the roommate's girlfriend, so that he would

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Speaker 1: never have to face criminal charges for that. He was

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Speaker 1: never gonna come back, He was never gonna go back

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Speaker 1: to court, go to his next hearing. Is you get

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Speaker 1: to disappear into the shadows? Dugan knew that, but she

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Speaker 1: did it anyway because she was standing up doing what

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Speaker 1: she thought was right. And frankly, folks, there's no greater

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Speaker 1: villain than somebody who does objectively bad, wrong things because

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Speaker 1: they believe that they are morally and ethically justified, not

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Speaker 1: only that morally required to do that. Think about fiction,

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Speaker 1: Think about the very best pieces of fiction you've ever read,

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Speaker 1: or you've ever seen, movies, TV, books, whatever. Is the

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Speaker 1: bad guy just a bad guy to be a bad guy? Meaning?

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Speaker 1: Is he just evil because Hey, evil's pretty awesome and

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Speaker 1: I want to be evil? No, he's evil because he

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Speaker 1: believes he is justified in doing evil things because those

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Speaker 1: evil things are actually good. He may recognize, okay, this

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Speaker 1: is an objective wrong and the example I already I

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Speaker 1: always use is what I believe to be the best

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Speaker 1: piece of American fiction written over the past fifty years. Watchman.

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Speaker 1: It is a graphic novel by Alan Moore and Dave Gibbons.

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Speaker 1: I believe was the illustrator of DC Comics forty years.

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Speaker 1: It has just celebrated its fortieth anniversary, later made into

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Speaker 1: a movie TV show that was beyond woke. The movie's

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Speaker 1: fantastic TV show. The book is amazing. The villain was

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Speaker 1: once a hero, he was a superhero. He's the smartest

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Speaker 1: man in the world, and he basically fakes an alien invasion.

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Speaker 1: He unleashes these bioengineered squids. It's a robot in the movie,

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Speaker 1: but they're bioengineered squids that attack New York City and

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Speaker 1: kill millions of people. But then he works with the

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Speaker 1: hero Doctor Manhattan to get all of the nations to

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Speaker 1: band together against this common enemy. And even though there

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Speaker 1: are millions of people, he says, the greater good is

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Speaker 1: world peace. The Soviets and the Americans aren't going to

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Speaker 1: destroy each other with nuclear weapons because they're too worried

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Speaker 1: about fighting the giant squids that are invading New York City.

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Speaker 1: So he's perfectly willing to kill millions of people. That

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Speaker 1: is an objective wrong, but he felt as though he

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Speaker 1: was perfectly justified. This is why I watch it if

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Speaker 1: you haven't read it. It's a wonderful examination of human

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Speaker 1: nature and competing philosophy. He's basically every character represents a

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Speaker 1: different idea about human psychea a different basic philosophy. Nihilism, altruism,

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Speaker 1: all of that, objectivism, moral relativism. Hannah Dugan on a

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Speaker 1: much smaller scale, She's not unleashing squids and killing half

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Speaker 1: of Milwaukee, but she did something that was objectively bad,

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Speaker 1: freeing a criminal. In her heart, she probably knew it

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Speaker 1: was bad, but she justified it because she was defying

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Speaker 1: something worse. Donald Trump, all right, should we We got

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Speaker 1: a lot of people on hold. Let's go to Jason

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Speaker 1: in Mechwan. You're up first on the Dan O'donald's show.

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Speaker 1: Welcome to it, and Merry Christmas, sir.

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Speaker 3: Afternoon, Happy Friday, Mary, Christmas to you too.

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Speaker 4: Dan.

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Speaker 3: Now that Judge Jugan has been successfully convicted for her

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Speaker 3: judicial misconduct, could be an I'll go after Protocelist for

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Speaker 3: her judicial misconduct if she goes after at ten uh,

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Speaker 3: he prejudged the case.

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Speaker 1: Yes, well that's not criminal misconduct. Basically what that is

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Speaker 1: Judge Protocewitz. Jennet Protocewitz, the Wisconsin Supreme Court justice, as

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Speaker 1: I pointed out over and over and over in early

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Speaker 1: twenty twenty three, she was violating the Code of Judicial Conduct,

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Speaker 1: and she was just violating every ethical standard by saying

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Speaker 1: exactly how she was going to rule on pretty much

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Speaker 1: every case that came before her. That's how we can

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Speaker 1: up with the Janet proto Switz impression, because she kept

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Speaker 1: saying the maps are rigged, and I don't know, she

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Speaker 1: sounded like a screeching old battle axe when she did so.

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Speaker 1: So my impression of Janet Protocewitz was sort of like

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Speaker 1: glad As Kravitz from the old Bewitched show. It was

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Speaker 1: the maps I rigged. I don't even know how that

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Speaker 1: came about, but that's just every time she said it,

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Speaker 1: that's what was sort of in my head. No what,

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Speaker 1: And they actually ruled the State Supreme Court and the

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Speaker 1: it wasn't the Board of Bar Examiners, but it was

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Speaker 1: the Judicial Commission of the Wisconsin Judicial Commission ruled that no,

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Speaker 1: she didn't violate any ethical standard whatsoever. So I guess, Katie,

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Speaker 1: bar the door. If you're Maria Lazaar, just say yes,

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Speaker 1: I am going to rule on every case where we

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Speaker 1: just deport every single illegal alien in Wisconsin because you're

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Speaker 1: not going to be found to be in violation of

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Speaker 1: the Code of Judicial Conduct. But I see where you're

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Speaker 1: going with this, Jason, and that is, should we see

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Speaker 1: more judicial accountability? Should we see more accountability for judges

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Speaker 1: who take the law unto their own hands, For judges

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Speaker 1: who at the federal level, especially James Boseburg, have been

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Speaker 1: just ignoring federal law, ignoring the Constitution, and basically as

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Speaker 1: openly as they possibly can saying that they're just ruling

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Speaker 1: on these temporary injunctions to stop Trump, to stop Trump

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Speaker 1: from doing whatever it is he's going to do. They're

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Speaker 1: obviously wrong on the law. They're obviously going to get

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Speaker 1: overturned on appeal, or they're going to even get stopped

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Speaker 1: by their own court when the full court or at

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Speaker 1: least a three judge panel rules on the merits of

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Speaker 1: the case. They know this. They're just trying to run

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Speaker 1: out the clock on the Trump administration. That is fundamentally wrong.

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Speaker 1: And that's another example of what I'm talking about. Subverting

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Speaker 1: the constitution, subverting the rule of law, and using your

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Speaker 1: position as a judge to do so is an objective evil.

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Speaker 1: That is an objective wrong. That's being done by people

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Speaker 1: who will swear up and down that they are the best,

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Speaker 1: most morally righteous, most ethically upstanding people in this country.

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Speaker 1: They're not. They never were. They're just willing to do

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Speaker 1: things that frankly, conservatives aren't because we actually care about

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Speaker 1: the rule of law, because we actually care about ethics

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Speaker 1: and morality. We don't have situational ethics where we say, okay,

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Speaker 1: Joe Biden's president, Now let's get a whole bunch of

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Speaker 1: judges together and formulate a plot to thwart his agenda

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Speaker 1: before it even gets started. In case you missed it,

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Speaker 1: that is exactly what Chuck Schumer admitted that they did.

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Speaker 1: There were work groups with hundreds of attorneys general, and

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Speaker 1: I'm willing to bet a number of judges on these

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Speaker 1: conference calls too, for a year before Trump ever took office.

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Speaker 1: This apparently was their backup plan in case Kamala Harris

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Speaker 1: didn't win, which she didn't all right, So what is next?

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Speaker 1: Specifically in the Hannah Dugan case. Could Judge Lynn Aedelman

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Speaker 1: really set aside this verdict. It's possible, maybe not likely,

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Speaker 1: but possible. We'll discuss, plus take more of your phone calls.

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Speaker 1: Coming up next. You're on the Dan o'donald's show.

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Speaker 5: From the Dano donald Show Family Teenys Merry Christmas.

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Speaker 1: Anod show. As we go out to the phones and

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Speaker 1: talk with Peter in o'conomawalk. Peter, welcome to the program.

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Speaker 1: Mery Christmas. Happy holidays to you, sir.

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Speaker 6: Yes, d and I Merry Christmas. Considering how we've been

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Speaker 6: conditioned to consider maximum penalties for these egregious law violations

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Speaker 6: and prosecutions oftentime being people being let go our leftists

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Speaker 6: judges DA's ages they I don't really want to bring

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Speaker 6: it in these well, in Milwaukee County and in other

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Speaker 6: Blue states and blue cities. My question is, considering the

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Speaker 6: maximum is widely publicized that she could face five years

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Speaker 6: and two hundred and fifty thousand dollars penalties, why don't

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Speaker 6: we hear that she could face nothing at all, probation,

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Speaker 6: no jail time, no prison time, and no fines at all.

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Speaker 1: Well, because who is it that's usually feeding you that information?

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Speaker 1: I mean, I have been and frankly, folks, thank you

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Speaker 1: so much for the phone call. I really do appreciate it. Uh, Peter,

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Speaker 1: think about who's feeding you the information? Yeah. Generally speaking,

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Speaker 1: in cases where you hear the suspect was arrested and

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Speaker 1: criminally charged with dui causing death, he faces thirty years

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Speaker 1: in pri and if convicted, there's usually never any follow

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Speaker 1: up and judges have actually very wide discretion. That's why

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Speaker 1: we passed truth in Sentencing, the idea where okay, if

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Speaker 1: you get a sentence handed if you are convicted of

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Speaker 1: a crime. We had liberal judges leading in judges for

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Speaker 1: decades in Wisconsin and across the country. So we have

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Speaker 1: mandatory minimums. We have truth in sentencing, and for this offense,

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Speaker 1: it is true. There is no federal mandatory minimum for

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Speaker 1: obstruction of process, usually because the case isn't as egregious

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Speaker 1: as this one, Pete. Usually it's like somebody walks in

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Speaker 1: and stops a congressional hearing or something like that. They

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Speaker 1: claim to be protesting, or a climate activist throws paint

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Speaker 1: all over the dais or something like that. That's what

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Speaker 1: usually obstruction a process is it's not a violent crime.

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Speaker 1: It's not one where you're distributing harmful narcotics. It's not

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Speaker 1: one where we as a society believe that this is one. Yes,

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Speaker 1: we should throw the book at you, and to protect

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Speaker 1: the public, we need to lock you away. I've been

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Speaker 1: saying for a long time, I do not believe there's

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Speaker 1: any chance in the world that she spends a day

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Speaker 1: in jail, a day in prison. She's going to get probation,

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Speaker 1: and Judge Adelman, if he doesn't set aside this verdict,

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Speaker 1: which is a distinct possibility, an unlikely one, but a

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Speaker 1: distinct possibility, he's going to say, well, her real punishment,

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Speaker 1: the real crime, the real penalty that she's going to face,

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Speaker 1: is the loss of reputation. What is the likelihood that

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Speaker 1: she's actually going to have her verdict set aside? Generally speak,

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Speaker 1: it is relatively rare. It's not unheard of, but it's

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Speaker 1: very rare for a judge to just say, hey, the

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Speaker 1: jury got this so wrong that we need to set

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Speaker 1: aside this verdict. Already, you are seeing Steve Biscupik and

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Speaker 1: Jason Luzac, Hannah Dugan's dream team, whose star witness was

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Speaker 1: Tom Barrett. That still cracks me up. The best they

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Speaker 1: could come up with is trotting old trolley Tom out

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Speaker 1: there to say, nah, nah, Hannah's a great gal. Good work, guys,

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Speaker 1: good work. The media dutifully calling these buffoons a dream

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Speaker 1: team Tom Barrett. It's I still couldn't believe that Tom Barrett.

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Speaker 1: I didn't believe it until I saw a picture of

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Speaker 1: him walking out of the courtroom. He's a character witness. Okay,

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Speaker 1: great Jet, that's how you know your client is dead

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Speaker 1: to rights. But Biscuby and the dream team, they're already

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Speaker 1: setting up this idea that there were what are known

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Speaker 1: as inconsistent of verdicts. Because there was a not guilty

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Speaker 1: verdict on the less serious charge of concealing a person

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Speaker 1: from arrest, there must also have been a not guilty

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Speaker 1: verdict in the crime of the more serious crime of

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Speaker 1: obstruction of process. Here's Biscupic last night with a very

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Speaker 1: brief statement after the verdict.

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Speaker 5: The defense comment is obviously disappointed. The mixed verdict is

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Speaker 5: the big thing from the defense perspective. You know the

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Speaker 5: same elements of count one are in count two. In

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Speaker 5: count two, How can you find guilty there and not

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Speaker 5: guilty on the first. But that's why we asked for

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Speaker 5: the post trial briefing. Judge hasn't sought a sentencing date,

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Speaker 5: so obviously he's going to take this seriously as well

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Speaker 5: and just say the case is a long way from over.

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Speaker 1: I I have a lot of respect for Steven Biscupik

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Speaker 1: from his work as US attorney under the Bush administration.

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Speaker 1: I really do. I think I met him a couple

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Speaker 1: of times. I think he was on this show at

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Speaker 1: one point or another years and years and years ago.

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Speaker 1: But man, have I lost a lot of respect. That

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Speaker 1: is just fundamentally dishonest. It's a fundamentally dishonest framing of

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Speaker 1: the elements of the crime. If you obstruct a process,

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Speaker 1: does it mean that you necessarily have to do so

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Speaker 1: by concealing a person from arrest. All this means is

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Speaker 1: that the jury found that Hannah Dugan's actions sufficiently obstructed

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Speaker 1: the federal agents from being able to make an arrest.

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Speaker 1: They actually bought Biscubic and lose AC's bs argument that, oh,

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Speaker 1: the jury room door, it was only eleven feet away

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Speaker 1: from the regular exit, and it was totally normal that

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Speaker 1: she shuttled Flores Ruiz and his attorney out through that.

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Speaker 1: They found she didn't conceal him that he got away

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Speaker 1: on his own, but her actions of sending the members

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Speaker 1: of the ice arrest team over to ask Carl Ashley,

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Speaker 1: the chief judge, about whether or not they were allowed

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Speaker 1: to make an arrest there, which way they clearly were.

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Speaker 1: In other words, the diversion that she created was sufficient

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Speaker 1: enough with a corrupt intent to amount to obstruction a process.

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Speaker 1: In fact, Brad Schimmel, the acting US Attorney, was asked

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Speaker 1: about this in his press conference. It said the exact

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Speaker 1: same thing. Look, these are different elements. You have separate

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Speaker 1: elements of two separate crimes. Clearly these verdicts are inconsistent.

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Speaker 1: You could have not guilty on one and guilty on

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Speaker 1: the other.

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Speaker 2: This split verdict says to the communities, Well, it was

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Speaker 2: two different charges and the jury had to consider two

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Speaker 2: different sets of elements. They worked hard, they concluded as

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Speaker 2: to one the defendant was not guilty, that we didn't

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Speaker 2: meet our burdner proof.

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Speaker 1: As to the other, we did.

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Speaker 2: That. It happens with some regularity in the court system.

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Speaker 1: Yeah, usually it's the lesser offense that there's a not

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Speaker 1: guilty finding of or a guilty finding of and the

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Speaker 1: greater offense is acquittal. But it happens all the time.

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Speaker 1: These aren't the same charges if they were the same

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Speaker 1: elements what he's talking about elements. You have to satisfy

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Speaker 1: different elements of each crime. So within the statute, did

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Speaker 1: the person conceal a suspect from arrest? Did the person

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Speaker 1: know that there was a warrant from for their arrest?

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Speaker 1: Did they do so with intent to conceal the person

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Speaker 1: from arrest? Those are the three elements of the crime.

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Speaker 1: If they had the exact same elements, they'd be the

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Speaker 1: exact same crime. She would have been charged with two

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Speaker 1: counts of concealing a person from arrest. See, this is

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Speaker 1: what Dugan's defense has been doing the entire trial and

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Speaker 1: in the lead up to this trial, just completely mischaracterizing this.

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Speaker 1: Now granted, what they're trying to do is to get

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Speaker 1: Lynn Adelman to do a solid for his friend, Hannah,

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Speaker 1: another member of the legal community in Milwaukee, and just

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Speaker 1: set aside the verdict. Using this, Adelman would get slapped out.

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Speaker 1: The verdicts are not inconsistent, there is nothing inconsistent about them,

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Speaker 1: but it is possible even though it is extremely unlikely

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Speaker 1: that Judge Adelman will set aside the verdict and say, okay,

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Speaker 1: the jury clearly aired, but that opens him up for

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Speaker 1: an incredible Seventh Circuit SmackDown, the likes of which he

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Speaker 1: hasn't been throttled by since they absolutely humiliated him when

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Speaker 1: he over turned Wisconsin's voter id law. We will get

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Speaker 1: to more of your phone call, some texts as well

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Speaker 1: as we discuss the Hannah Dugan verdict and where we

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Speaker 1: go from here here on the Dano Donk Show. Wisconsin,

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Speaker 1: we messed up quite a bit by not electing Brad

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Speaker 1: Schimmel as a state Supreme Court justice, as evidenced further

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Speaker 1: by his press conference last night following the conviction on

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Speaker 1: one of two criminal counts, the more serious one the

428
00:29:34,680 --> 00:29:40,000
Speaker 1: federal felony of Hannah Dugan, talking about how bad it

429
00:29:40,120 --> 00:29:44,240
Speaker 1: is that someone, especially someone with the position of a judge,

430
00:29:44,320 --> 00:29:48,240
Speaker 1: especially a public servant, especially somebody who at least purported

431
00:29:48,280 --> 00:29:51,840
Speaker 1: to be acting under the color of law, interfering in

432
00:29:51,920 --> 00:29:56,000
Speaker 1: a valid law enforcement operation. We essentially can't have a

433
00:29:56,040 --> 00:30:00,360
Speaker 1: civil society. We can't have society at all if we

434
00:30:00,440 --> 00:30:04,440
Speaker 1: don't have the ability for our law enforcers to actually

435
00:30:04,600 --> 00:30:05,320
Speaker 1: enforce the law.

436
00:30:05,400 --> 00:30:07,760
Speaker 2: Law enforcement work is fraught with dangers, and our law

437
00:30:07,840 --> 00:30:11,120
Speaker 2: enforcement officers put their lives on the line every day.

438
00:30:11,920 --> 00:30:15,400
Speaker 2: Here they were carrying out their sworn responsibility to execute

439
00:30:15,480 --> 00:30:18,920
Speaker 2: an arrest warrant. When they perform their duties, they should

440
00:30:19,000 --> 00:30:23,160
Speaker 2: reasonably be entitled to do so in the safest possible conditions.

441
00:30:23,920 --> 00:30:28,360
Speaker 2: When someone, especially a sworn public official, puts them in

442
00:30:28,440 --> 00:30:31,760
Speaker 2: unnecessary danger by obstructing those efforts to make an arrest

443
00:30:31,760 --> 00:30:35,160
Speaker 2: as safely as possible, they must be held accountable.

444
00:30:35,520 --> 00:30:38,600
Speaker 1: And that's exactly what Dugan did. There's a reason that

445
00:30:38,640 --> 00:30:43,000
Speaker 1: there are courthouse arrests, and it's because they know that

446
00:30:43,040 --> 00:30:46,600
Speaker 1: the ice agents or law enforcement knows that nobody has

447
00:30:46,640 --> 00:30:48,760
Speaker 1: a weapon on them because they have to go through

448
00:30:49,200 --> 00:30:52,600
Speaker 1: a metal detector. Well, this guy ran, He could have

449
00:30:52,600 --> 00:30:54,440
Speaker 1: grabbed a gun from his car, he could have taken

450
00:30:54,960 --> 00:30:58,000
Speaker 1: There's a million things that could have happened because it

451
00:30:58,000 --> 00:31:00,800
Speaker 1: handa Dugan's actions. Mark in New Berlin, You're up next.

452
00:31:00,800 --> 00:31:03,640
Speaker 1: Merry Christmas, Mark, and welcome to the Dan O'Donnell Show.

453
00:31:04,640 --> 00:31:07,280
Speaker 4: Oh Merry Christmas. Yeah, I just want to say I

454
00:31:07,680 --> 00:31:10,400
Speaker 4: am I agree with mister Tiffany she should be locked up,

455
00:31:10,400 --> 00:31:11,960
Speaker 4: but we know that it's not gonna happen.

456
00:31:12,160 --> 00:31:15,440
Speaker 1: Tom Tiffany, Yes, he put out, let's let's not make

457
00:31:15,480 --> 00:31:19,680
Speaker 1: the same mistake twice. Wisconsin elect Tom Tiffany, so we

458
00:31:19,760 --> 00:31:22,440
Speaker 1: will have someone who is tough on crime and cares

459
00:31:22,440 --> 00:31:26,400
Speaker 1: more about protecting the innocent Wisconsinites who are victims of

460
00:31:26,400 --> 00:31:28,680
Speaker 1: criminals and not the criminals themselves.

461
00:31:30,040 --> 00:31:32,640
Speaker 4: Definitely, but I know, I'll tell you right now what's

462
00:31:32,640 --> 00:31:34,880
Speaker 4: going to happen, and you can mark my words. She's

463
00:31:34,920 --> 00:31:37,560
Speaker 4: going to retire. She's gonna do like all the other

464
00:31:37,600 --> 00:31:41,600
Speaker 4: crooks do in Milwaukee and Milwaukee County, just like the health commissioner,

465
00:31:42,000 --> 00:31:45,160
Speaker 4: just like that former alderman that ran the Halazen who

466
00:31:45,240 --> 00:31:48,160
Speaker 4: that that funneled all the money he retired. She's going

467
00:31:48,200 --> 00:31:50,880
Speaker 4: to retire with probably around with Social Security. I'm going

468
00:31:50,920 --> 00:31:53,760
Speaker 4: to say, probably a pension right around two hundred grandy year.

469
00:31:54,400 --> 00:31:58,200
Speaker 4: She's gonna go around thinking she's a Margaret's.

470
00:31:57,520 --> 00:31:59,880
Speaker 1: No, judges don't make that much, but good, go on,

471
00:32:00,040 --> 00:32:00,880
Speaker 1: go on, I see what you're saying.

472
00:32:00,960 --> 00:32:03,120
Speaker 4: Yeah, well they don't make that much, but her pension

473
00:32:03,320 --> 00:32:04,560
Speaker 4: it's going to be a hundred thousands.

474
00:32:04,560 --> 00:32:07,320
Speaker 1: Oh oh, most definitely plus social security.

475
00:32:08,040 --> 00:32:11,680
Speaker 4: You're social security. It's not a bad way to go out. No,

476
00:32:11,720 --> 00:32:13,080
Speaker 4: she's gonna go out, you know.

477
00:32:15,240 --> 00:32:18,040
Speaker 1: And how about this mark? How about this mark? She's

478
00:32:18,080 --> 00:32:21,960
Speaker 1: going to be lionized by her leftist friends as a

479
00:32:22,120 --> 00:32:26,640
Speaker 1: martyr who actually got a criminal conviction for standing up

480
00:32:26,720 --> 00:32:29,920
Speaker 1: for violent illegal aliens. How twisted is that?

481
00:32:30,280 --> 00:32:30,360
Speaker 2: Like?

482
00:32:30,480 --> 00:32:31,840
Speaker 1: Truly? How twist going to be that?

483
00:32:32,680 --> 00:32:35,640
Speaker 4: Oh, it's terrible. She's gonna be Mother Teresa almost people

484
00:32:35,680 --> 00:32:38,440
Speaker 4: waving the banners down on Wisconsin Avenue. I mean it's

485
00:32:38,440 --> 00:32:40,880
Speaker 4: gonna be And then so, you know, so right off

486
00:32:40,920 --> 00:32:43,480
Speaker 4: in the sunset, she's probably going to retire, probably this

487
00:32:43,680 --> 00:32:48,480
Speaker 4: coming week, I imagine, no, because she's.

488
00:32:47,680 --> 00:32:53,800
Speaker 1: Well, no, you know what, that's a mark that that

489
00:32:53,920 --> 00:32:56,600
Speaker 1: is a fantastic call because you gave the host something

490
00:32:56,640 --> 00:32:59,640
Speaker 1: to think about. Will she just call it a career?

491
00:33:00,480 --> 00:33:03,840
Speaker 1: In fact, Robin Voss and Tyler August, the leaders of

492
00:33:03,880 --> 00:33:07,000
Speaker 1: the Republicans in the State Assembly, have said if she

493
00:33:07,120 --> 00:33:12,400
Speaker 1: doesn't resign immediately, they will move to impeach her, which

494
00:33:12,840 --> 00:33:15,800
Speaker 1: I think is necessary. She needs to resign. People have

495
00:33:16,040 --> 00:33:19,040
Speaker 1: been asking, can you actually still serve as a judge

496
00:33:19,920 --> 00:33:24,000
Speaker 1: without with a criminal conviction? You can be a judge

497
00:33:24,400 --> 00:33:27,000
Speaker 1: in this state without having a law degree. Not a

498
00:33:27,000 --> 00:33:29,720
Speaker 1: lot of people know that, or actually that might have

499
00:33:29,840 --> 00:33:32,600
Speaker 1: changed in many states though you don't actually need a

500
00:33:32,640 --> 00:33:35,320
Speaker 1: law degree to be a judge, municipal judge where they

501
00:33:35,360 --> 00:33:39,520
Speaker 1: just handle like traffic tickets and non criminal offenses sometimes

502
00:33:39,600 --> 00:33:42,080
Speaker 1: though you don't even need to be And I actually

503
00:33:42,080 --> 00:33:45,280
Speaker 1: now that I said that, I'm not actually sure whether

504
00:33:45,320 --> 00:33:47,680
Speaker 1: you need to have a law degree. I don't believe

505
00:33:47,720 --> 00:33:50,960
Speaker 1: you do, although you might need to be a member

506
00:33:51,000 --> 00:33:52,800
Speaker 1: of the state bar. I'll take a look during the

507
00:33:52,840 --> 00:33:57,680
Speaker 1: next commercial break and research that. But she can still

508
00:33:58,440 --> 00:34:03,760
Speaker 1: serve even with a felony federal conviction. This just proves

509
00:34:03,760 --> 00:34:06,520
Speaker 1: how difficult it is to get rid of government employees,

510
00:34:06,560 --> 00:34:09,239
Speaker 1: doesn't it. Nancy and Mechwah, do you think if I

511
00:34:09,320 --> 00:34:12,600
Speaker 1: was convicted of a felony I'd still be hosting the

512
00:34:12,640 --> 00:34:17,640
Speaker 1: afternoon show in Wisconsin for iHeartMedia, of course, not Nancy

513
00:34:17,680 --> 00:34:20,120
Speaker 1: and mechwan on the Dan O'donnald Show. Merry Christmas.

514
00:34:21,800 --> 00:34:25,480
Speaker 7: Merry Christmas to you as well. Your other callers have

515
00:34:25,600 --> 00:34:28,440
Speaker 7: made me wonder is she still drawing a judge's salary?

516
00:34:29,080 --> 00:34:29,960
Speaker 1: Yes, she hasn't.

517
00:34:30,040 --> 00:34:35,200
Speaker 7: The reason yeah, yeah, that's criminal also. But the reason

518
00:34:35,239 --> 00:34:38,360
Speaker 7: I'm calling is that instead of her and her team

519
00:34:38,920 --> 00:34:43,359
Speaker 7: blaming Trump for her problems, why don't they blame the

520
00:34:43,440 --> 00:34:49,320
Speaker 7: liberals that prevented the ICE detention holds in the jails

521
00:34:49,719 --> 00:34:52,040
Speaker 7: so that this guy could have been picked up at

522
00:34:52,040 --> 00:34:55,600
Speaker 7: the jail as opposed to going to the courthouse.

523
00:34:55,800 --> 00:35:01,480
Speaker 1: Excellent point, Nancy, that is an absolutely excellent point. Milwaukee's

524
00:35:01,520 --> 00:35:05,680
Speaker 1: a sanctuary city. They don't cooperate, they don't honor ICE detainers.

525
00:35:06,520 --> 00:35:09,719
Speaker 1: Why not just hold this guy. Safest place to pick

526
00:35:09,760 --> 00:35:13,359
Speaker 1: somebody up for ICE agents beyond safest place is rather

527
00:35:13,400 --> 00:35:17,600
Speaker 1: obviously while they're in jail. This is why ICE uses detainers,

528
00:35:17,640 --> 00:35:20,919
Speaker 1: because it keeps law enforcement agents out of harm's way.

529
00:35:21,400 --> 00:35:25,879
Speaker 1: These are dangerous people. This was a violent man who

530
00:35:26,000 --> 00:35:29,359
Speaker 1: was charged with a violent crime, who ran away from

531
00:35:29,440 --> 00:35:34,239
Speaker 1: law enforcement officers, and thank heavens, he didn't get very far.

532
00:35:34,360 --> 00:35:36,920
Speaker 1: He wasn't able to arm himself and potentially try to

533
00:35:36,960 --> 00:35:40,760
Speaker 1: shoot his way to freedom, or he didn't physically assault

534
00:35:40,760 --> 00:35:42,959
Speaker 1: one of the officers. They took him down after about

535
00:35:42,960 --> 00:35:45,879
Speaker 1: a half a block footchase. But she Will actually said

536
00:35:45,920 --> 00:35:48,400
Speaker 1: in his press conference things could have been a whole

537
00:35:48,480 --> 00:35:52,760
Speaker 1: lot worse because of Hannah Dugan's actions and the fact

538
00:35:52,760 --> 00:35:57,279
Speaker 1: that she put those law enforcementations put everybody else who

539
00:35:57,400 --> 00:36:00,160
Speaker 1: might have stood in the way of Eduardo Ruez or

540
00:36:00,200 --> 00:36:04,319
Speaker 1: as Ruiz and his run to freedom in danger. And

541
00:36:04,400 --> 00:36:07,680
Speaker 1: she did so as a judge, as someone who we

542
00:36:07,719 --> 00:36:12,759
Speaker 1: as a society exalt. We give them a position of prominence,

543
00:36:12,800 --> 00:36:16,279
Speaker 1: we give them the reputation, just the title. We call

544
00:36:16,400 --> 00:36:22,680
Speaker 1: them your honor. For goodness sakes, Unfortunately for everybody, Hannah

545
00:36:22,760 --> 00:36:25,040
Speaker 1: Dugan has no honor.

546
00:36:31,760 --> 00:36:35,200
Speaker 5: From the Dano Donald Show Family to yours.

547
00:36:38,680 --> 00:36:43,319
Speaker 1: This is the violinist Josh Vahi with a hip hop

548
00:36:43,400 --> 00:36:48,040
Speaker 1: violin version of the Mariah Carey classic. All I want

549
00:36:48,120 --> 00:36:51,280
Speaker 1: for Christmas is you here on the Dan o'donald Show.

550
00:36:51,360 --> 00:36:54,920
Speaker 1: Merry Christmas to each and every one of you. Do

551
00:36:54,960 --> 00:36:59,080
Speaker 1: you think do most schools have off all next week?

552
00:37:00,400 --> 00:37:00,680
Speaker 4: What do you?

553
00:37:00,880 --> 00:37:03,280
Speaker 1: What do we think? But producer Armand says he would

554
00:37:03,280 --> 00:37:06,880
Speaker 1: think so. His daughter is way too young to go school.

555
00:37:07,280 --> 00:37:10,719
Speaker 1: My kids are are obviously school age, and they have

556
00:37:10,760 --> 00:37:13,759
Speaker 1: the full two weeks off, which I think is wild.

557
00:37:14,120 --> 00:37:16,200
Speaker 1: Shoot me a text, let me know if your kids

558
00:37:16,200 --> 00:37:18,279
Speaker 1: are grandkids are off for the full two weeks. I

559
00:37:18,320 --> 00:37:20,720
Speaker 1: don't I can't remember ever getting a full two weeks

560
00:37:20,719 --> 00:37:22,200
Speaker 1: off when I was a kid. Then I got to

561
00:37:22,280 --> 00:37:24,560
Speaker 1: college and you get a full month off. You're like,

562
00:37:24,640 --> 00:37:28,279
Speaker 1: this is heaven on Earth time. Now for the unhinged lived.

563
00:37:28,040 --> 00:37:30,960
Speaker 2: This is a serious matter, hey, for which, no, it's.

564
00:37:30,800 --> 00:37:45,600
Speaker 1: Clearly not Brad Shivel. Here's the unhinged liberal theme. Trump

565
00:37:45,719 --> 00:37:53,080
Speaker 1: is dangerous because he's evil America. Well, this one's about

566
00:37:53,080 --> 00:37:56,160
Speaker 1: his obvious says it gets. Today's unhinged liberal of the

567
00:37:56,320 --> 00:38:00,880
Speaker 1: day is Hannah Dugan, the Milwaukee County Circle Court judge

568
00:38:01,160 --> 00:38:04,520
Speaker 1: found guilty of the more serious federal crime of obstruction

569
00:38:04,560 --> 00:38:07,960
Speaker 1: a process for shuttling an illegal alien out of her

570
00:38:08,040 --> 00:38:12,640
Speaker 1: jury room exit to conceal him from arrest. Congratulations, Hannah,

571
00:38:12,719 --> 00:38:15,759
Speaker 1: you threw it all away for a violent illegal. You're

572
00:38:16,000 --> 00:38:25,479
Speaker 1: are unhinged Liberal of the day. Thanks to the four

573
00:38:25,560 --> 00:38:29,520
Speaker 1: hundred people who texted and reminded me that yes, not

574
00:38:29,560 --> 00:38:32,200
Speaker 1: only do you need to be a lawyer, you do

575
00:38:32,320 --> 00:38:35,080
Speaker 1: need to be a practicing attorney. To be a circuit

576
00:38:35,160 --> 00:38:37,560
Speaker 1: court judge, you need to be practicing for at least

577
00:38:37,760 --> 00:38:40,840
Speaker 1: five years. I had forgotten that I knew there was

578
00:38:40,880 --> 00:38:43,640
Speaker 1: one judge you don't have to be in Wisconsin. You

579
00:38:43,640 --> 00:38:45,439
Speaker 1: don't have to be a member of the state bar.

580
00:38:46,120 --> 00:38:50,560
Speaker 1: That's a municipal judge. Municipal judge. You can just be anybody.

581
00:38:50,880 --> 00:38:56,120
Speaker 1: You can get yourself elected and away you go. Hannah

582
00:38:56,239 --> 00:39:05,040
Speaker 1: Dugan is quite possibly the epitome of someone who abused

583
00:39:05,040 --> 00:39:07,600
Speaker 1: her power. And I was talking to a great caller,

584
00:39:07,680 --> 00:39:09,959
Speaker 1: Jeff and Greenfield. I had to take him off the air.

585
00:39:10,080 --> 00:39:12,600
Speaker 1: We had a number of callers who we just didn't

586
00:39:12,640 --> 00:39:15,560
Speaker 1: have time to get to. Sometimes I, you know, someone's

587
00:39:15,560 --> 00:39:18,759
Speaker 1: been holding for forty five minutes. I want to just

588
00:39:18,800 --> 00:39:20,400
Speaker 1: talk to him and say, hey, we couldn't get you on.

589
00:39:20,440 --> 00:39:22,560
Speaker 1: What's your point? He made a great one, he said, Look,

590
00:39:23,120 --> 00:39:27,960
Speaker 1: out of all people, Hannah Dugan, a judge knew what

591
00:39:28,040 --> 00:39:31,200
Speaker 1: she was doing is wrong. She deserves the maximum penalty.

592
00:39:31,239 --> 00:39:34,040
Speaker 1: She doesn't deserve a minimum. And remember there is no

593
00:39:34,160 --> 00:39:39,640
Speaker 1: mandatory minimum for her conviction. And it is entirely possible

594
00:39:39,760 --> 00:39:44,920
Speaker 1: Judge Lynn Adelman sets aside this verdict because of alleged inconsistency.

595
00:39:45,320 --> 00:39:49,399
Speaker 1: I just think what Dugan's attorney, Stephen Biscupik said last

596
00:39:49,480 --> 00:39:54,800
Speaker 1: night was the heart of disingenuousness. That well, the elements

597
00:39:54,800 --> 00:39:57,239
Speaker 1: of the crimes are the same, So how can she

598
00:39:57,320 --> 00:39:59,279
Speaker 1: be guilty of one and not guilty of the other.

599
00:39:59,600 --> 00:40:04,120
Speaker 1: The are not the same. The jury simply found she

600
00:40:04,320 --> 00:40:08,880
Speaker 1: did not conceal someone from arrest. That she did not

601
00:40:09,239 --> 00:40:12,080
Speaker 1: by shuttling him through the jury room doors. That was

602
00:40:12,200 --> 00:40:16,200
Speaker 1: not actively concealing him. The government did not meet its

603
00:40:16,280 --> 00:40:20,080
Speaker 1: burden of proof on that specific crime. But did she

604
00:40:20,239 --> 00:40:24,600
Speaker 1: do enough to interfere with the federal process i e.

605
00:40:24,800 --> 00:40:30,600
Speaker 1: The arrest of Eduardo Flores Ruiz. Yes she did. This

606
00:40:31,200 --> 00:40:35,440
Speaker 1: is simple. You don't need a law degree to figure

607
00:40:35,480 --> 00:40:39,520
Speaker 1: that one out. You can be a municipal judge and

608
00:40:39,600 --> 00:40:43,120
Speaker 1: figure that one out. You do not need any specialized

609
00:40:43,200 --> 00:40:46,960
Speaker 1: legal training. There's no inconsistency in the verdict. But this

610
00:40:47,120 --> 00:40:50,399
Speaker 1: now is what the defense is going to try to do.

611
00:40:50,680 --> 00:40:53,879
Speaker 1: And I guess it's up to Looney Lynn Adelman if

612
00:40:53,880 --> 00:40:57,680
Speaker 1: he wants the last major case of his career to

613
00:40:57,920 --> 00:41:01,840
Speaker 1: end with a slap down by an appellate court, because

614
00:41:01,880 --> 00:41:06,200
Speaker 1: the verdict should not be set aside. There is there

615
00:41:06,200 --> 00:41:09,040
Speaker 1: would be clear material error. This is why it just

616
00:41:11,239 --> 00:41:15,080
Speaker 1: it would look so thoroughly corrupt if he did it.

617
00:41:16,400 --> 00:41:18,239
Speaker 1: I'm not sure he wants to go there. What he's

618
00:41:18,239 --> 00:41:23,080
Speaker 1: going to do is say, look, your near retirement age. Anyway,

619
00:41:23,760 --> 00:41:27,120
Speaker 1: take an early retirement, live off the pension, write a

620
00:41:27,200 --> 00:41:32,120
Speaker 1: book for goodness sakes, bask in the glow of being

621
00:41:32,160 --> 00:41:36,560
Speaker 1: a liberal heroine. And you're not going to go to prison.

622
00:41:36,800 --> 00:41:39,480
Speaker 1: You're going to get a slap on the wrist, probation.

623
00:41:39,719 --> 00:41:42,120
Speaker 1: I'll bet you she doesn't even get any community service

624
00:41:43,120 --> 00:41:46,879
Speaker 1: after this conviction. It's just such a high bar. And

625
00:41:47,800 --> 00:41:50,600
Speaker 1: I'll be honest with you, I was kind of shocked

626
00:41:51,360 --> 00:41:54,120
Speaker 1: by how Looney Lynn behaved during this trial, at least

627
00:41:54,160 --> 00:41:58,200
Speaker 1: as it was relayed to me through the reporting by reporters,

628
00:41:58,200 --> 00:42:00,760
Speaker 1: mostly from the Journal Sentinel. I was following their blog

629
00:42:00,960 --> 00:42:03,640
Speaker 1: because they had so many reporters in the courtroom and

630
00:42:03,640 --> 00:42:06,560
Speaker 1: it was just the easiest one to follow. I was

631
00:42:06,640 --> 00:42:08,719
Speaker 1: not able to be down there in the courtroom as

632
00:42:08,800 --> 00:42:10,759
Speaker 1: much as I wanted to be, obviously, at being right

633
00:42:10,800 --> 00:42:13,919
Speaker 1: before Christmas, I've been putting together the Dan O'Donnells show

634
00:42:13,920 --> 00:42:16,719
Speaker 1: Family Christmas Special, which by the way, is going to

635
00:42:16,880 --> 00:42:21,239
Speaker 1: premiere on Tuesday. At this time four m or so.

636
00:42:22,040 --> 00:42:26,000
Speaker 1: We have got just an incredible assortment of the children

637
00:42:26,040 --> 00:42:30,280
Speaker 1: and grandchildren of our listener family. We've got incredibly talented musicians,

638
00:42:30,280 --> 00:42:34,360
Speaker 1: We've got adorable, real little kids. There's a little girl

639
00:42:34,920 --> 00:42:38,319
Speaker 1: who sings Santa Claus is coming to town, and she

640
00:42:38,560 --> 00:42:43,000
Speaker 1: just sort of invents her own lyrics. She goes, you

641
00:42:43,040 --> 00:42:46,520
Speaker 1: better not cry, you better not tattle. I tell you,

642
00:42:46,560 --> 00:42:49,360
Speaker 1: I mean, it's the cutest thing I think I have

643
00:42:49,560 --> 00:42:54,480
Speaker 1: ever heard. And if I've been annoying with how chipper

644
00:42:54,560 --> 00:42:57,560
Speaker 1: and upbeat and in the Christmas spirit I am, it's

645
00:42:57,600 --> 00:43:00,759
Speaker 1: because of that, because I've spent all week listening to

646
00:43:00,840 --> 00:43:04,640
Speaker 1: your kids sing Christmas carols, play Christmas carols on their

647
00:43:04,719 --> 00:43:08,600
Speaker 1: musical instruments, and it's a it's a good annual reminder

648
00:43:09,160 --> 00:43:11,640
Speaker 1: of what Christmas is all about. It's a lot of fun.

649
00:43:12,080 --> 00:43:14,200
Speaker 1: And we are going to be broadcasting the Dan O'donnald

650
00:43:14,239 --> 00:43:16,719
Speaker 1: Show Family Christmas specially. Yes, it is going to be

651
00:43:17,120 --> 00:43:19,600
Speaker 1: up as a podcast. We're going to put it up

652
00:43:20,080 --> 00:43:22,239
Speaker 1: right at four o'clock. You'll be able to download it,

653
00:43:22,320 --> 00:43:24,279
Speaker 1: You'll be able to listen to it whenever you want,

654
00:43:24,520 --> 00:43:29,560
Speaker 1: share it with family and friends on Christmas. It's it's

655
00:43:29,719 --> 00:43:31,520
Speaker 1: it's a heck of a lot of fun. I will

656
00:43:31,640 --> 00:43:36,320
Speaker 1: tell you that. All right, Big day at the Trump

657
00:43:36,600 --> 00:43:40,880
Speaker 1: White House for Trump r X and all of us

658
00:43:41,000 --> 00:43:42,279
Speaker 1: time now for the daily Trump Day.

659
00:43:43,120 --> 00:43:45,880
Speaker 8: We're gonna win so much you may even get tired

660
00:43:45,960 --> 00:43:46,360
Speaker 8: of winning.

661
00:43:46,760 --> 00:43:49,520
Speaker 1: Just keep winning. It is a win for the administration.

662
00:43:49,719 --> 00:43:52,800
Speaker 2: It's also a big win for the United States.

663
00:43:52,920 --> 00:43:54,000
Speaker 4: We have to keep winning.

664
00:43:54,280 --> 00:43:58,440
Speaker 1: We have to win more. We're gonna win more. President

665
00:43:58,480 --> 00:44:01,759
Speaker 1: Trump hild a press conference this afternoon along with the

666
00:44:02,120 --> 00:44:07,239
Speaker 1: CEOs of nine of the largest prescription drug manufacturers in

667
00:44:07,400 --> 00:44:10,680
Speaker 1: the United States, who have all signed on now to

668
00:44:10,880 --> 00:44:16,360
Speaker 1: the President's Most Favored Nation Status agreement, meaning that for

669
00:44:16,640 --> 00:44:21,920
Speaker 1: their drugs, Americans will pay the lowest prices in the country.

670
00:44:22,000 --> 00:44:25,279
Speaker 8: Companies assembled in this room have agreed to offer all

671
00:44:25,360 --> 00:44:29,160
Speaker 8: of their drugs to Medicaid and Most Favored Nations pricing.

672
00:44:29,239 --> 00:44:32,160
Speaker 8: You're going to get Most Favorite Nations pricing, meaning they're

673
00:44:32,160 --> 00:44:36,800
Speaker 8: going to pay our country the lowest price paid anywhere

674
00:44:36,840 --> 00:44:40,600
Speaker 8: in the world, and they will list their most popular

675
00:44:40,680 --> 00:44:43,160
Speaker 8: drugs on trumprx dot gov.

676
00:44:44,520 --> 00:44:47,360
Speaker 1: Trump rx dot gov has been in the works for

677
00:44:47,360 --> 00:44:51,040
Speaker 1: a while. The President first made mention of it in

678
00:44:51,600 --> 00:44:55,480
Speaker 1: a big way in his address on Tuesday night. What

679
00:44:55,640 --> 00:44:58,480
Speaker 1: this is going to be is essentially a marketplace where

680
00:44:58,560 --> 00:45:01,840
Speaker 1: you can find the very best prices for prescription drugs

681
00:45:02,160 --> 00:45:06,560
Speaker 1: that otherwise were largely unaffordable, and as the President said

682
00:45:06,600 --> 00:45:11,120
Speaker 1: as is at his press conference today, for many, many years,

683
00:45:11,400 --> 00:45:17,280
Speaker 1: the United States has essentially been subsidizing other countries because

684
00:45:17,320 --> 00:45:21,240
Speaker 1: we're so wealthy, we're so well off, that our people

685
00:45:21,480 --> 00:45:25,600
Speaker 1: are better able to afford the exact same drugs that

686
00:45:25,840 --> 00:45:29,400
Speaker 1: might be in Germany for half the price. Well, what

687
00:45:29,520 --> 00:45:32,920
Speaker 1: the Most Favored Nation agreement does is to ensure that

688
00:45:33,080 --> 00:45:36,200
Speaker 1: the United States, people in the United States will pay

689
00:45:36,360 --> 00:45:39,759
Speaker 1: the lowest price that the drug is offered anywhere in

690
00:45:39,920 --> 00:45:44,280
Speaker 1: the world. The idea here and why these drug companies

691
00:45:44,440 --> 00:45:48,400
Speaker 1: are signing onto it is a they are worried about

692
00:45:48,760 --> 00:45:55,120
Speaker 1: potential punitive action from the Trump administration. Not anything, but

693
00:45:55,520 --> 00:45:58,320
Speaker 1: you know what I'm saying, like the idea that, honestly,

694
00:45:58,440 --> 00:46:03,160
Speaker 1: you know what, President Trump has been threatened terriffs. His

695
00:46:03,440 --> 00:46:07,040
Speaker 1: threat of tariffs just does wonders to get not just

696
00:46:07,320 --> 00:46:11,560
Speaker 1: state actors but also corporate actors in line. This is

697
00:46:11,680 --> 00:46:15,600
Speaker 1: something folks the left has been railing about for decades.

698
00:46:15,640 --> 00:46:19,440
Speaker 1: For as long as I have been following politics, they

699
00:46:19,480 --> 00:46:23,279
Speaker 1: have been squealing about prescription drug prices and how big

700
00:46:23,520 --> 00:46:29,520
Speaker 1: Pharma was raping poor, hard working Americans by forcing them

701
00:46:29,560 --> 00:46:34,040
Speaker 1: to pay exorbitant prices for drugs that they could otherwise

702
00:46:34,160 --> 00:46:38,480
Speaker 1: get far cheaper. Of course, liberals never did anything about this.

703
00:46:39,080 --> 00:46:43,320
Speaker 1: President Trump is and you'll notice there's not a single liberal,

704
00:46:43,640 --> 00:46:47,319
Speaker 1: not a single Democratic Congress who appears willing to given

705
00:46:47,360 --> 00:46:50,440
Speaker 1: the plot it seed deserves. Now, just how much are

706
00:46:50,560 --> 00:46:53,719
Speaker 1: some of these drugs going to be discounted because of

707
00:46:53,800 --> 00:46:57,840
Speaker 1: this most Favored Nation status? President Trump actually outlined some

708
00:46:58,000 --> 00:46:58,720
Speaker 1: of the high as.

709
00:46:58,560 --> 00:47:01,600
Speaker 8: An example of the price reductions we have secured through

710
00:47:01,680 --> 00:47:05,719
Speaker 8: these new agreements. Sounda fe will cut the cost of

711
00:47:05,840 --> 00:47:11,000
Speaker 8: its blood dinner playvix from seven hundred and fifty dollars

712
00:47:11,080 --> 00:47:12,800
Speaker 8: to less than sixteen dollars.

713
00:47:14,760 --> 00:47:21,320
Speaker 1: Wow, way, Santafra B what that's incredible. Huh could have

714
00:47:21,320 --> 00:47:22,520
Speaker 1: gone to seventeen dollars.

715
00:47:22,640 --> 00:47:26,359
Speaker 8: Man, that's amazing, and you're going to do Tremendousnessess, it's

716
00:47:26,360 --> 00:47:29,799
Speaker 8: going to do much more business. So that's coming from

717
00:47:29,880 --> 00:47:32,719
Speaker 8: seven hundred and fifteen. Think of that, seven hundred and

718
00:47:32,760 --> 00:47:37,320
Speaker 8: fifty dollars, and that's the number one blood dinner. I

719
00:47:37,360 --> 00:47:39,240
Speaker 8: don't want to know about that. I take an aspen

720
00:47:41,400 --> 00:47:45,720
Speaker 8: to less than sixteen dollars. Think of that. Brussel Myers Square,

721
00:47:45,960 --> 00:47:49,360
Speaker 8: great company, both great companies will cut the price of

722
00:47:49,800 --> 00:47:58,560
Speaker 8: HIV medication rayth Taz from nearly fifteen hundred dollars one thousand,

723
00:47:58,680 --> 00:48:03,719
Speaker 8: five hundred dollars to two hundred and seventeen dollars. And

724
00:48:03,880 --> 00:48:08,440
Speaker 8: it will cut the cost of hepatitis B medication barrett

725
00:48:08,480 --> 00:48:12,560
Speaker 8: Lude from one thousand, four hundred dollars to four hundred

726
00:48:12,560 --> 00:48:18,640
Speaker 8: and thirteen dollars. Gilliad will cut the hepatitis C medication

727
00:48:19,680 --> 00:48:25,279
Speaker 8: ep LUSA from nearly twenty five thousand dollars to less

728
00:48:25,280 --> 00:48:27,560
Speaker 8: than two thousand, five hundred dollars.

729
00:48:28,480 --> 00:48:32,080
Speaker 1: I know that was a long sound, all like that

730
00:48:32,840 --> 00:48:34,160
Speaker 1: because we're bringing him down.

731
00:48:34,120 --> 00:48:37,000
Speaker 8: To the world's lowest price everything all right.

732
00:48:37,160 --> 00:48:39,400
Speaker 1: Now he's done, Now he's done. I know that was

733
00:48:39,440 --> 00:48:41,480
Speaker 1: a long sound. Bye, ladies and gentlemen. Frankly, I just

734
00:48:41,600 --> 00:48:44,719
Speaker 1: wanted to hear President Trump pronounce the names of some

735
00:48:44,880 --> 00:48:48,800
Speaker 1: of those words. His pronunciation is just the emphasis he

736
00:48:49,000 --> 00:48:53,160
Speaker 1: puts on those words. It's a thing of beauty that,

737
00:48:53,280 --> 00:48:57,520
Speaker 1: ladies and gentlemen. Is your daily Trump Date. Every day

738
00:48:57,600 --> 00:48:59,920
Speaker 1: at about four o'clock, we try to get you updated

739
00:49:00,200 --> 00:49:02,919
Speaker 1: on what was going on at the Trump White House

740
00:49:02,960 --> 00:49:07,200
Speaker 1: and in Washington on that day. Before the five o'clock news,

741
00:49:07,280 --> 00:49:09,799
Speaker 1: the six o'clock news, before you start to get the spin,

742
00:49:10,080 --> 00:49:13,560
Speaker 1: just hear from the President himself and get just a

743
00:49:13,719 --> 00:49:19,480
Speaker 1: rundown of what it was that happened today last night. Also,

744
00:49:19,680 --> 00:49:24,160
Speaker 1: while much of Wisconsin was focused on the Hannah Dugan verdict,

745
00:49:25,040 --> 00:49:30,840
Speaker 1: authorities in Rhode Island, who, my goodness, proved themselves to

746
00:49:30,960 --> 00:49:37,759
Speaker 1: be so thoroughly incompetent and woke politically correct that I

747
00:49:37,920 --> 00:49:43,759
Speaker 1: have shocked anyone ever found this guy at all. It's

748
00:49:43,880 --> 00:49:50,160
Speaker 1: like an entire department of transgender Barney Feiff's again, I'm

749
00:49:50,239 --> 00:49:56,160
Speaker 1: kidding the transgender Alderman video, which is absolutely hilarious. Producer Arman,

750
00:49:56,239 --> 00:50:01,279
Speaker 1: do yourself a favor. Look up transgender Alderman, Brown University.

751
00:50:01,520 --> 00:50:05,720
Speaker 1: I know it's a horrible tragedy, but this guy superimposed

752
00:50:05,800 --> 00:50:08,960
Speaker 1: himself into the press conference and he's wearing a cafea,

753
00:50:09,080 --> 00:50:12,959
Speaker 1: he's got long hair, and he says, please, we want

754
00:50:13,040 --> 00:50:16,200
Speaker 1: the media to stop referring to this man as the

755
00:50:16,320 --> 00:50:20,080
Speaker 1: brown shooter. That has negative connotations. He stops. He' like

756
00:50:20,120 --> 00:50:22,600
Speaker 1: what what oh, they're saying the brown shooter because a

757
00:50:22,600 --> 00:50:29,239
Speaker 1: brown university. Okay. He also, unfortunately, and this is a

758
00:50:29,360 --> 00:50:32,560
Speaker 1: big part of this story. He unfortunately puts up a

759
00:50:32,719 --> 00:50:37,239
Speaker 1: picture and the name of a Brown University student who

760
00:50:37,520 --> 00:50:41,520
Speaker 1: was not the gunman. Not only did we have a

761
00:50:41,640 --> 00:50:46,120
Speaker 1: young man from Wisconsin, the Mechwan area falsely linked to

762
00:50:46,239 --> 00:50:51,120
Speaker 1: this crime, we had on social media a guy with

763
00:50:51,280 --> 00:50:55,439
Speaker 1: pronouns in his bio, He had a Muslim sounding name,

764
00:50:56,160 --> 00:50:59,680
Speaker 1: and he just kind of had the same body, type

765
00:50:59,719 --> 00:51:04,800
Speaker 1: of bit pudgy as the grainy surveillance video from the gunman,

766
00:51:05,360 --> 00:51:08,920
Speaker 1: and people just sort of decided that it was this guy. Well,

767
00:51:09,000 --> 00:51:13,840
Speaker 1: Brown University did themselves no favors. They actually removed his bio.

768
00:51:14,000 --> 00:51:17,120
Speaker 1: They removed his page from the official Brown University website,

769
00:51:17,160 --> 00:51:20,320
Speaker 1: apparently in real time as people were starting to finger

770
00:51:20,400 --> 00:51:25,160
Speaker 1: him as the potential gunman. But folks, this is doing

771
00:51:25,400 --> 00:51:29,920
Speaker 1: real damage to real people. When we're hopping on this

772
00:51:30,719 --> 00:51:35,440
Speaker 1: train of just your favorite influencer says, oh, this guy's

773
00:51:35,600 --> 00:51:40,960
Speaker 1: probably the guy. He wasn't. In fact, I don't know

774
00:51:40,960 --> 00:51:44,000
Speaker 1: if anybody paid attention to America Fest that's going on

775
00:51:44,160 --> 00:51:49,080
Speaker 1: right now. Ben Shapiro had an outstanding speech, calling out

776
00:51:49,200 --> 00:51:54,520
Speaker 1: the Candice Owens, the Tucker Carlson's, the Megan Kelly's of

777
00:51:54,680 --> 00:52:00,399
Speaker 1: the podcasting right for Candice Owens just engaging in baseless

778
00:52:00,560 --> 00:52:06,879
Speaker 1: insanity over the assassination of Charlie Kirk, Tucker Carlson having

779
00:52:06,960 --> 00:52:11,880
Speaker 1: a sloppy, wet kiss with anti Semite, and just douche

780
00:52:12,719 --> 00:52:17,000
Speaker 1: am I allowed to say that, Well, whatever, he is

781
00:52:17,040 --> 00:52:19,719
Speaker 1: a douche. Nick Fuentes, He's just a little turd. He's

782
00:52:19,719 --> 00:52:23,759
Speaker 1: a weasley, little white supremacist turd. He does not he

783
00:52:23,920 --> 00:52:28,160
Speaker 1: is not on our side. He hates Trump. You know why,

784
00:52:28,760 --> 00:52:32,600
Speaker 1: because he thinks Trump loves the Jews. He's an anti semit.

785
00:52:32,680 --> 00:52:39,600
Speaker 1: He is a vile little turd. And Tucker Carlson is platforming.

786
00:52:41,080 --> 00:52:41,160
Speaker 2: Now.

787
00:52:41,200 --> 00:52:45,120
Speaker 1: I have no problem with someone going, but at least

788
00:52:45,280 --> 00:52:50,160
Speaker 1: grill him, at least ask him difficult questions. Megan Kelly meanwhile,

789
00:52:50,920 --> 00:52:53,399
Speaker 1: I have no idea what Candas is talking about. Who

790
00:52:53,480 --> 00:52:56,880
Speaker 1: doesn't have any idea what Candas is talking about? And folks,

791
00:52:56,960 --> 00:53:01,919
Speaker 1: I have met Tucker Carlson. He is a very nice guy.

792
00:53:03,480 --> 00:53:06,040
Speaker 1: I have the utmost respect for Megan Kelly. I think

793
00:53:06,040 --> 00:53:10,400
Speaker 1: she's fantastic. But when they are untethered from the editorial

794
00:53:10,560 --> 00:53:14,080
Speaker 1: standards of like a professional news department like they were

795
00:53:14,160 --> 00:53:17,400
Speaker 1: at Fox News, when there's no oversight I mean, think

796
00:53:17,440 --> 00:53:20,360
Speaker 1: about that. If I go on here and I have

797
00:53:20,520 --> 00:53:25,560
Speaker 1: some now former friends who years ago accused me of

798
00:53:25,640 --> 00:53:30,520
Speaker 1: being horribly racist on the air and awful guys, Guys,

799
00:53:30,719 --> 00:53:35,080
Speaker 1: I am governed by a federal agency. If I said

800
00:53:35,160 --> 00:53:38,840
Speaker 1: something racist on the air, the FCC would be on

801
00:53:39,080 --> 00:53:44,040
Speaker 1: me so fast. There would be protests outside this station

802
00:53:44,680 --> 00:53:48,080
Speaker 1: like there were after an infamous incident, what twenty years ago?

803
00:53:48,560 --> 00:53:52,000
Speaker 1: This year, I think I wouldn't be on the air.

804
00:53:53,080 --> 00:53:56,960
Speaker 1: But imagine if I just had my own podcast. Who

805
00:53:57,040 --> 00:53:59,640
Speaker 1: do I answer to? Nobody? I answer to me. I

806
00:53:59,680 --> 00:54:02,000
Speaker 1: can say whatever the hell I want now. I can say,

807
00:54:02,080 --> 00:54:06,960
Speaker 1: within reason, whatever I want now. But let's say I

808
00:54:07,200 --> 00:54:14,080
Speaker 1: just started accusing Armin armand Sarian. That's a funny, foreign

809
00:54:14,280 --> 00:54:17,760
Speaker 1: sounding name. He must have been the Brown University shooter.

810
00:54:18,760 --> 00:54:21,920
Speaker 1: I mean, could you imagine? Armand's a real person. He's

811
00:54:21,960 --> 00:54:26,520
Speaker 1: got a beautiful wife and an adorable baby girl. He's

812
00:54:26,600 --> 00:54:28,960
Speaker 1: my producer, he's a pillar of his community. He's a

813
00:54:29,000 --> 00:54:34,600
Speaker 1: great guy. But because I said that, whenever somebody googles Armandsarian,

814
00:54:35,000 --> 00:54:42,719
Speaker 1: there might be a result forever of Armansarian brown University shooter. Well,

815
00:54:42,880 --> 00:54:47,279
Speaker 1: the actual Brown University shooter is a forty eight year

816
00:54:47,320 --> 00:54:53,000
Speaker 1: old Portuguese man by the name of Claudio Manuel Neves Valente,

817
00:54:53,640 --> 00:54:59,160
Speaker 1: a forty eight year old former Brown grad student. According

818
00:54:59,239 --> 00:55:04,960
Speaker 1: to authorities, on December thirteenth, this past Sunday, or was

819
00:55:05,000 --> 00:55:09,920
Speaker 1: it Saturday Saturday, he opened fire in the Engineering and

820
00:55:10,000 --> 00:55:14,840
Speaker 1: Physics building at Brown, killing two people, wounding nine others.

821
00:55:14,880 --> 00:55:17,839
Speaker 1: Both of them were students, one a nineteen year old man,

822
00:55:17,880 --> 00:55:22,680
Speaker 1: the other a nineteen year old woman. Authorities later linked

823
00:55:22,760 --> 00:55:29,640
Speaker 1: him to the separate murder of MIT physics professor Nuno Lorrero,

824
00:55:30,160 --> 00:55:35,400
Speaker 1: a former classmate of his from Portugal, on either December

825
00:55:35,480 --> 00:55:41,239
Speaker 1: fifteenth or sixteenth, that would be Monday or Tuesday. Valente,

826
00:55:41,719 --> 00:55:45,000
Speaker 1: as far as we know, briefly attended Brown. He was

827
00:55:45,719 --> 00:55:49,839
Speaker 1: in physics. He studied physics as a PhD candidate from

828
00:55:49,920 --> 00:55:53,440
Speaker 1: two thousand to two thousand and one. He enrolled on

829
00:55:53,520 --> 00:55:57,680
Speaker 1: a student visa because of course, he did, attending for

830
00:55:57,840 --> 00:56:01,200
Speaker 1: less than a year, then withdrawing. He then re entered

831
00:56:01,239 --> 00:56:07,880
Speaker 1: the United States legally in twenty seventeen via the Diversity

832
00:56:08,320 --> 00:56:14,960
Speaker 1: Immigrant Visa Lottery program and became a permanent resident. It's

833
00:56:15,000 --> 00:56:18,560
Speaker 1: basically a green card lottery. It is literally called the

834
00:56:18,680 --> 00:56:25,000
Speaker 1: Diversity Immigrant visa program. So we basically just want people

835
00:56:25,719 --> 00:56:30,120
Speaker 1: to diversify America. No other quote. We have no idea.

836
00:56:30,480 --> 00:56:34,120
Speaker 1: If this guy has some unique skill, if this guy

837
00:56:34,200 --> 00:56:37,520
Speaker 1: has something that we can't get from the people who

838
00:56:37,560 --> 00:56:40,680
Speaker 1: are already here in the United States, whether or not

839
00:56:40,800 --> 00:56:43,440
Speaker 1: they were born here or they came here for that

840
00:56:43,719 --> 00:56:48,680
Speaker 1: specific skill something. By the way, I am absolutely in

841
00:56:48,840 --> 00:56:52,200
Speaker 1: favor of if that is a skill that is truly

842
00:56:52,360 --> 00:56:54,960
Speaker 1: so unique that we needed here in the United States

843
00:56:55,000 --> 00:56:57,920
Speaker 1: and we can't have We don't have enough Americans who

844
00:56:58,000 --> 00:57:02,800
Speaker 1: possess that specific skill. The idea that we're just bringing

845
00:57:02,920 --> 00:57:09,040
Speaker 1: people in because we need more diversity, that's shocking to me.

846
00:57:09,160 --> 00:57:12,520
Speaker 1: So we just need a random dude from Portugal. We

847
00:57:12,600 --> 00:57:14,920
Speaker 1: don't have enough Portuguese. What we couldn't we could have

848
00:57:15,000 --> 00:57:18,720
Speaker 1: gotten cris Giano Ronaldo. He's got a unique skill. He

849
00:57:18,800 --> 00:57:22,160
Speaker 1: could have really helped the United States men's soccer team

850
00:57:22,560 --> 00:57:26,680
Speaker 1: for the upcoming World Cup. But instead we get this

851
00:57:26,880 --> 00:57:34,640
Speaker 1: psychotic murderer. Investigators used a tip from a Reddit post

852
00:57:34,920 --> 00:57:39,480
Speaker 1: describing an encounter with a suspicious person and a rental car.

853
00:57:40,160 --> 00:57:44,000
Speaker 1: They matched that with surveillance video, license plate readers, and

854
00:57:44,400 --> 00:57:49,640
Speaker 1: car rental records to identify him. He was eventually found

855
00:57:49,880 --> 00:57:53,760
Speaker 1: last night dead in a rented storage unit in Salem,

856
00:57:53,840 --> 00:57:57,800
Speaker 1: New Hampshire, from an apparent self inflicted gunshot wound. The

857
00:57:59,160 --> 00:58:03,760
Speaker 1: autopsy estimated his death at actually about December sixteenth, so

858
00:58:04,080 --> 00:58:08,200
Speaker 1: very likely after he shot and killed the MIT professor,

859
00:58:08,640 --> 00:58:10,960
Speaker 1: he went to this storage unit that he had rented

860
00:58:11,000 --> 00:58:15,680
Speaker 1: out and killed himself. Likely. I don't know, People like, well,

861
00:58:15,680 --> 00:58:19,400
Speaker 1: why did he do this? Nobody knows. He is a psychotic,

862
00:58:19,600 --> 00:58:23,480
Speaker 1: evil human being. Who again, are you sensing a trend here?

863
00:58:24,520 --> 00:58:27,920
Speaker 1: Likely should have never been allowed into this country. Now.

864
00:58:28,440 --> 00:58:35,440
Speaker 1: Is it at all predictable that someone from Portugal, eight

865
00:58:35,600 --> 00:58:39,600
Speaker 1: years after they win the Diversity green card lottery program

866
00:58:40,320 --> 00:58:43,600
Speaker 1: is going to shoot and kill three people injured nine others.

867
00:58:43,680 --> 00:58:47,640
Speaker 1: No nobody can possibly predict that. But the point is

868
00:58:47,720 --> 00:58:52,640
Speaker 1: that we shouldn't have to predict that this guy got

869
00:58:52,720 --> 00:58:57,680
Speaker 1: in for no other reason than we needed more diversity.

870
00:59:00,120 --> 00:59:02,160
Speaker 1: If he was if he was if he got his

871
00:59:02,320 --> 00:59:06,920
Speaker 1: PhD from Brown and was some molecular scientist, a molecular

872
00:59:07,040 --> 00:59:12,200
Speaker 1: biologist who is just so insanely brilliant with theories about

873
00:59:12,280 --> 00:59:15,560
Speaker 1: stuff that I couldn't even possibly pretend to speak intelligently

874
00:59:15,600 --> 00:59:19,680
Speaker 1: about yes, obviously we want him into this country. Yes,

875
00:59:20,120 --> 00:59:23,680
Speaker 1: come in, do work for us the American government or

876
00:59:23,800 --> 00:59:29,560
Speaker 1: an American company, benefit American society. Assimilate into American society,

877
00:59:30,000 --> 00:59:34,880
Speaker 1: become an American. Don't lose your Portuguese identity, but understand

878
00:59:35,360 --> 00:59:40,439
Speaker 1: that you have a new relationship with a new home,

879
00:59:40,600 --> 00:59:44,080
Speaker 1: and that primarily or Portuguese American to be sure, but

880
00:59:44,240 --> 00:59:47,680
Speaker 1: you are an American first. Now, I have no idea

881
00:59:47,920 --> 00:59:51,160
Speaker 1: how assimilated this guy was, but the point is the

882
00:59:51,240 --> 00:59:53,680
Speaker 1: vast majority of people who are coming into this country,

883
00:59:53,720 --> 00:59:58,880
Speaker 1: both legally and illegally, aren't assimilating into the broader American culture.

884
00:59:58,920 --> 01:00:02,720
Speaker 1: That doesn't mean as leftists I'm sure will assume acting

885
01:00:02,880 --> 01:00:07,600
Speaker 1: white or anything like that, but it is respecting American culture,

886
01:00:07,680 --> 01:00:12,960
Speaker 1: respecting American customs, respecting the American rule of law, and

887
01:00:13,280 --> 01:00:17,200
Speaker 1: seeing yourself fully as American. Yes, this was a country

888
01:00:17,280 --> 01:00:21,160
Speaker 1: of immigrants, immigrants who became Americans, Immigrants who didn't just

889
01:00:21,240 --> 01:00:24,040
Speaker 1: set up their own little fiefdoms within the borders of

890
01:00:24,120 --> 01:00:24,720
Speaker 1: this country.

891
01:00:31,040 --> 01:00:31,440
Speaker 4: Do you know.

892
01:00:31,680 --> 01:00:37,080
Speaker 1: America basically stopped all immigration for a period of about

893
01:00:37,360 --> 01:00:41,240
Speaker 1: forty years or so. Legal illegal I mean, sure there

894
01:00:41,320 --> 01:00:45,320
Speaker 1: was illegal immigration into this country, but There was also

895
01:00:45,440 --> 01:00:49,240
Speaker 1: a pause from the last great wave of immigration in

896
01:00:49,280 --> 01:00:52,320
Speaker 1: the nineteen twenties Ellis Island and so forth. That was

897
01:00:52,880 --> 01:00:56,000
Speaker 1: what the Italians, A lot of Germans came over, a

898
01:00:56,040 --> 01:00:58,280
Speaker 1: lot of the Germans. For the first real wave was

899
01:00:58,440 --> 01:01:04,000
Speaker 1: Irish only came over, I believe in the eighteen nineties,

900
01:01:04,040 --> 01:01:06,920
Speaker 1: eighteen eighties, eighteen nineties. My dad, if he's listening, will

901
01:01:08,920 --> 01:01:11,880
Speaker 1: I'm sure correct me very quickly. But with the great

902
01:01:11,960 --> 01:01:16,320
Speaker 1: Potato Famine of the eighteen fifties through about the eighteen seventies,

903
01:01:16,400 --> 01:01:20,440
Speaker 1: the blight that brought a lot of people. That created

904
01:01:20,480 --> 01:01:24,560
Speaker 1: the Irish diaspora, where Irish people went across the world

905
01:01:25,360 --> 01:01:27,440
Speaker 1: just looking for a better life. And it wasn't that,

906
01:01:27,800 --> 01:01:31,840
Speaker 1: oh well, we couldn't grow enough potatoes, we were too

907
01:01:31,960 --> 01:01:33,240
Speaker 1: stupid to grow potatoes.

908
01:01:33,320 --> 01:01:33,360
Speaker 8: No.

909
01:01:33,600 --> 01:01:36,320
Speaker 1: It was the reason the Irish still hate the British

910
01:01:36,480 --> 01:01:41,160
Speaker 1: to this day is because the English, the British, who

911
01:01:41,360 --> 01:01:46,280
Speaker 1: were conscripting the Irish farmers. Remember, Ireland at that time

912
01:01:46,480 --> 01:01:48,960
Speaker 1: was part of the United Kingdom. It wasn't until the

913
01:01:49,360 --> 01:01:52,880
Speaker 1: nineteen twenties that the Irish actually gained their independence. In

914
01:01:53,000 --> 01:01:56,880
Speaker 1: nineteen twenty two, following the Irish War for Independence, but

915
01:01:57,200 --> 01:02:01,560
Speaker 1: the British, who were basically employ the Irish. It was

916
01:02:02,000 --> 01:02:05,280
Speaker 1: sort of like the old feudalism agreement, where the Irish

917
01:02:05,360 --> 01:02:08,000
Speaker 1: were tenant farmers on their own land. That was a

918
01:02:08,080 --> 01:02:12,080
Speaker 1: big reason they wanted to become an independent nation. The

919
01:02:12,400 --> 01:02:16,040
Speaker 1: British were saying, okay, Irish farmers, you have to send

920
01:02:16,120 --> 01:02:18,800
Speaker 1: a certain number of potatoes, you have to get a

921
01:02:18,920 --> 01:02:22,280
Speaker 1: certain percentage of your crop to us, and if you

922
01:02:22,360 --> 01:02:26,120
Speaker 1: don't do it, guess what you don't eat. So by force,

923
01:02:26,320 --> 01:02:30,080
Speaker 1: the British were forcing the Irish to send over all

924
01:02:30,200 --> 01:02:33,320
Speaker 1: of their crops, not just potatoes, but basically every edible

925
01:02:33,360 --> 01:02:35,520
Speaker 1: crop that they were saying, and the Irish were starving

926
01:02:35,600 --> 01:02:39,040
Speaker 1: because there just wasn't enough food left over for them

927
01:02:39,080 --> 01:02:40,560
Speaker 1: to be able to eat. So they came to the

928
01:02:40,680 --> 01:02:44,280
Speaker 1: United States. This is also a reason the Irish, and

929
01:02:44,400 --> 01:02:50,440
Speaker 1: it is so shameful to see the left wing pap

930
01:02:51,240 --> 01:02:56,480
Speaker 1: that passes for leadership over there. The Irish absolutely love

931
01:02:56,520 --> 01:02:59,840
Speaker 1: Americans and they long have. They've always called them so

932
01:03:00,240 --> 01:03:04,760
Speaker 1: America's fifty first state because there are by far more

933
01:03:04,960 --> 01:03:09,680
Speaker 1: people with Irish ancestry living in the United States than

934
01:03:09,760 --> 01:03:12,840
Speaker 1: living in Ireland, probably by a factor of two. Or

935
01:03:12,960 --> 01:03:16,120
Speaker 1: three because of how many people came over in that

936
01:03:16,200 --> 01:03:20,920
Speaker 1: first great wave of migration, they're treated horribly. A wonderful

937
01:03:21,160 --> 01:03:24,280
Speaker 1: look at that period in time is Gangs of New

938
01:03:24,360 --> 01:03:27,800
Speaker 1: York Martin Scorsese two thousand and two. Leo DiCaprio stars

939
01:03:28,280 --> 01:03:31,479
Speaker 1: one of Daniel day Lewis's absolute best roles as Bill

940
01:03:31,600 --> 01:03:34,360
Speaker 1: the Butcher. He was the leader of the nativist gang

941
01:03:34,960 --> 01:03:37,920
Speaker 1: going against Liam Neeson also had a small role in

942
01:03:38,000 --> 01:03:40,640
Speaker 1: that is the leader of the Irish immigrant gang. And

943
01:03:40,680 --> 01:03:45,000
Speaker 1: it was all about the experience of Irish immigrants in

944
01:03:45,240 --> 01:03:49,080
Speaker 1: eighteen sixties New York City and it was not great,

945
01:03:50,000 --> 01:03:52,960
Speaker 1: but eventually the Irish and one of the themes of

946
01:03:53,000 --> 01:03:54,680
Speaker 1: that movie, and one of the themes of the Irish

947
01:03:54,760 --> 01:03:58,800
Speaker 1: experience in America is an attempt to be seen as

948
01:03:59,000 --> 01:04:05,080
Speaker 1: fully America. So too with later waves of immigration from Germany.

949
01:04:05,160 --> 01:04:08,640
Speaker 1: Here in Wisconsin we have a lot of Polish immigration.

950
01:04:09,320 --> 01:04:14,200
Speaker 1: Italian immigration came a little bit later. On the West coast.

951
01:04:14,240 --> 01:04:16,760
Speaker 1: There was a great deal of migration to work on

952
01:04:16,800 --> 01:04:21,320
Speaker 1: the railroads from Asia China in particular. Later waves of

953
01:04:21,360 --> 01:04:26,560
Speaker 1: migration saw more Asian migrants. We did see, yes in

954
01:04:26,680 --> 01:04:30,440
Speaker 1: the South, because Texas was part of Mexico until the

955
01:04:30,520 --> 01:04:33,400
Speaker 1: Mexican American War, we did have a lot of Mexican

956
01:04:33,400 --> 01:04:36,960
Speaker 1: people who still consider Texas to be part of Mexico

957
01:04:37,080 --> 01:04:41,440
Speaker 1: for a big portion of American history. What united all

958
01:04:41,560 --> 01:04:46,640
Speaker 1: of those people, all of those migrants, though, was a

959
01:04:46,760 --> 01:04:50,880
Speaker 1: love of the homeland, but a knowledge that they were

960
01:04:51,000 --> 01:04:56,600
Speaker 1: likely never going back, that their home was America, and

961
01:04:56,760 --> 01:04:59,720
Speaker 1: that the highest and best thing that they could do

962
01:05:00,160 --> 01:05:03,200
Speaker 1: their time in America was to become an American, was

963
01:05:03,240 --> 01:05:07,080
Speaker 1: to contribute to American society. And if you've ever gone

964
01:05:07,120 --> 01:05:11,600
Speaker 1: to Ellis Island in New York, you'll see you'll go through,

965
01:05:11,640 --> 01:05:14,000
Speaker 1: you'll walk through the holes that the people who are

966
01:05:14,040 --> 01:05:16,880
Speaker 1: coming off the ships from Europe would have to walk through,

967
01:05:18,400 --> 01:05:20,240
Speaker 1: and they would be asked. First of all, they would

968
01:05:20,240 --> 01:05:24,120
Speaker 1: be tested for disease. And one of the most notorious

969
01:05:24,160 --> 01:05:27,080
Speaker 1: ones they would I forget what infection it was that

970
01:05:27,160 --> 01:05:29,560
Speaker 1: people had, but they would actually use a device to

971
01:05:29,800 --> 01:05:33,560
Speaker 1: lift up their eyelid to peek under the eyelid to

972
01:05:33,680 --> 01:05:35,560
Speaker 1: make sure they weren't infected, to make sure they weren't

973
01:05:35,600 --> 01:05:39,480
Speaker 1: bringing disease in to the United States. If someone was sick,

974
01:05:39,560 --> 01:05:43,280
Speaker 1: if someone was coughing in line, they would be immediately

975
01:05:43,360 --> 01:05:46,400
Speaker 1: pulled out and either sent on a ship right back

976
01:05:46,480 --> 01:05:48,920
Speaker 1: from whence they came, or they would stay on a

977
01:05:49,040 --> 01:05:53,200
Speaker 1: hospital ward on the island for days, weeks, months, or

978
01:05:53,520 --> 01:05:55,160
Speaker 1: as long as it took for them to get better.

979
01:05:55,240 --> 01:05:58,520
Speaker 1: If they didn't get better, there was also a graveyard

980
01:05:58,680 --> 01:06:01,400
Speaker 1: out there, and there were a lot of people who said, look,

981
01:06:01,640 --> 01:06:03,720
Speaker 1: we can't do anything for you. You gotta go back.

982
01:06:04,720 --> 01:06:08,920
Speaker 1: Not only that, you had to prove that there was

983
01:06:09,080 --> 01:06:12,360
Speaker 1: someone already in the country who would take care of

984
01:06:12,480 --> 01:06:16,160
Speaker 1: you if you ever became indigent, meaning if you ever

985
01:06:16,240 --> 01:06:19,040
Speaker 1: couldn't take care of yourself. You had to have a brother,

986
01:06:19,240 --> 01:06:20,880
Speaker 1: you had to have a cousin, you had to have

987
01:06:21,080 --> 01:06:23,240
Speaker 1: an uncle. You had to have someone who is already

988
01:06:23,400 --> 01:06:26,280
Speaker 1: in the country who would vouch for you and say, yes,

989
01:06:27,200 --> 01:06:30,000
Speaker 1: you are not going to be a burden on America's

990
01:06:30,040 --> 01:06:34,800
Speaker 1: social safety net that is reserved for Americans only. Yes,

991
01:06:35,000 --> 01:06:39,240
Speaker 1: we want the tire, the poor, the huddled masses yearning

992
01:06:39,320 --> 01:06:43,520
Speaker 1: to breathe free, but we also want them to breathe independently.

993
01:06:44,320 --> 01:06:46,760
Speaker 1: We want them to contribute to society, not to become

994
01:06:46,880 --> 01:06:52,280
Speaker 1: a drag on society, and certainly not to come here

995
01:06:53,760 --> 01:06:57,760
Speaker 1: to specifically get the benefits that we so generously provide.

996
01:06:58,800 --> 01:07:03,520
Speaker 1: US Attorney yesterday I briefly briefly mentioned this on yesterday's

997
01:07:03,520 --> 01:07:09,160
Speaker 1: show in Minnesota said the scale of the Somali welfare

998
01:07:09,280 --> 01:07:14,720
Speaker 1: fraud is much larger, likely than anyone has estimated. Upwards

999
01:07:14,760 --> 01:07:19,120
Speaker 1: of fifty percent of the total fifteen or eighteen billion

1000
01:07:19,240 --> 01:07:24,760
Speaker 1: dollar federal and States outlay to the Somali community in

1001
01:07:24,960 --> 01:07:31,880
Speaker 1: Minnesota was fraudulently doled out nine billion dollars worth of fraud.

1002
01:07:33,320 --> 01:07:35,840
Speaker 1: We went from, you are not allowed in this country

1003
01:07:36,360 --> 01:07:38,840
Speaker 1: if you can't prove that there is somebody who will

1004
01:07:38,920 --> 01:07:41,000
Speaker 1: take care of you if you get injured in a

1005
01:07:41,120 --> 01:07:45,400
Speaker 1: machine accident while at work and lose your right arm.

1006
01:07:47,280 --> 01:07:50,440
Speaker 1: Even if you do that, government ain't taken car of you.

1007
01:07:52,520 --> 01:07:56,160
Speaker 1: Uncle Fredo is going to have to take care of you. Sorry, Giuseppe,

1008
01:07:56,600 --> 01:08:00,960
Speaker 1: but these are the rules. How far have we come

1009
01:08:01,040 --> 01:08:04,800
Speaker 1: in one hundred years where we're actually attracting people to

1010
01:08:04,960 --> 01:08:09,520
Speaker 1: this country? And it's so painfully obvious why. It's because

1011
01:08:09,600 --> 01:08:14,520
Speaker 1: Democrats are reliant on an underclass. Why is it that

1012
01:08:14,680 --> 01:08:17,160
Speaker 1: they want people who are just going to come up?

1013
01:08:17,600 --> 01:08:22,560
Speaker 1: Do you think it's Mexican attorneys and doctors and physicists

1014
01:08:23,520 --> 01:08:26,560
Speaker 1: who are coming up across the southern border looking for

1015
01:08:26,840 --> 01:08:30,439
Speaker 1: menial jobs. Of course not. It was just in Mexico City.

1016
01:08:30,800 --> 01:08:33,880
Speaker 1: There are parts of that city that rival anywhere in

1017
01:08:33,960 --> 01:08:38,639
Speaker 1: the United States or Europe. There are very wealthy parts

1018
01:08:38,680 --> 01:08:43,960
Speaker 1: of Mexico. Those people aren't coming. Why why are we

1019
01:08:44,120 --> 01:08:49,560
Speaker 1: not actively encouraging the absolute best, the absolute brightest, the

1020
01:08:49,640 --> 01:08:53,840
Speaker 1: people who American society cannot live without. Well, Dan, your

1021
01:08:53,920 --> 01:08:56,920
Speaker 1: ancestors came here. They just had to get on a boat. Yes,

1022
01:08:57,120 --> 01:09:03,639
Speaker 1: they did, because America was a massive place and underpopulated.

1023
01:09:04,080 --> 01:09:08,200
Speaker 1: That was a time in American history when American society

1024
01:09:08,560 --> 01:09:15,280
Speaker 1: needed labor, needed workers. Now we have tons of people

1025
01:09:15,360 --> 01:09:19,000
Speaker 1: in this country, we're told we're told, well, the sluggish

1026
01:09:19,160 --> 01:09:24,200
Speaker 1: birth rates of American couples mean that we have to

1027
01:09:24,240 --> 01:09:27,559
Speaker 1: import people. All the while, liberals are telling us, well,

1028
01:09:27,720 --> 01:09:30,280
Speaker 1: you shouldn't have too many children, it's terrible for the

1029
01:09:30,439 --> 01:09:34,080
Speaker 1: environment women. You should have abortions. Isn't it weird how

1030
01:09:34,160 --> 01:09:37,479
Speaker 1: the second Roe v. Wade was first decided. The second

1031
01:09:37,960 --> 01:09:42,479
Speaker 1: we started to have abortive facians be easily obtainable, the

1032
01:09:42,560 --> 01:09:49,800
Speaker 1: birthrate plummeted. I don't want to sound conspiratorial here, but

1033
01:09:49,920 --> 01:09:52,760
Speaker 1: At the same time, they're telling native born Americans, who,

1034
01:09:53,200 --> 01:09:57,440
Speaker 1: by the way, are far more likely to vote Republican

1035
01:09:58,280 --> 01:10:02,439
Speaker 1: than Democrat. Immigrants are far more likely. Legal immigrants who

1036
01:10:02,479 --> 01:10:06,160
Speaker 1: are allowed to vote, are far more likely to vote Democrat.

1037
01:10:08,240 --> 01:10:10,719
Speaker 1: What do you think they see? Why do you think

1038
01:10:11,160 --> 01:10:14,800
Speaker 1: they're flying these people under the dark of night, under

1039
01:10:14,840 --> 01:10:19,280
Speaker 1: the Biden administration to just random swing states. Why do

1040
01:10:19,320 --> 01:10:21,600
Speaker 1: you think they're constantly talking about, Well, we need to

1041
01:10:21,640 --> 01:10:23,639
Speaker 1: have a blanket amnesty, we need to have a pathway

1042
01:10:23,680 --> 01:10:26,240
Speaker 1: to citizenship. It's a pathway to voting, it's a pathway

1043
01:10:26,240 --> 01:10:31,160
Speaker 1: to political control, and it's a pathway to the control

1044
01:10:31,360 --> 01:10:36,160
Speaker 1: over people who are, let's face it, in Central American,

1045
01:10:36,360 --> 01:10:42,880
Speaker 1: South American African countries far more accustomed to a more totalitarian,

1046
01:10:43,479 --> 01:10:46,720
Speaker 1: left wing style of government. We are way late for

1047
01:10:46,800 --> 01:10:49,360
Speaker 1: a commercial break, so we're going to take it right now,

1048
01:10:49,560 --> 01:10:53,240
Speaker 1: like little impromptu rant about immigration history in the United

1049
01:10:53,280 --> 01:10:55,519
Speaker 1: States and how we ended up here. We'll get right

1050
01:10:55,600 --> 01:11:04,840
Speaker 1: back on track with the Dan O'Donnell show returns. In

1051
01:11:04,920 --> 01:11:07,360
Speaker 1: the wake of the nine to eleven terror attacks, What

1052
01:11:07,600 --> 01:11:10,080
Speaker 1: did we as a nation and we as a world

1053
01:11:10,400 --> 01:11:15,000
Speaker 1: say we are going to track down those responsible and

1054
01:11:15,160 --> 01:11:19,680
Speaker 1: we are not going to what let the terrorists win.

1055
01:11:20,680 --> 01:11:24,200
Speaker 1: We are not going to cower in the face of

1056
01:11:24,680 --> 01:11:29,000
Speaker 1: real or imagined violence or the threat of violence. We

1057
01:11:29,080 --> 01:11:31,680
Speaker 1: are going to go on with daily American life. We

1058
01:11:31,760 --> 01:11:34,000
Speaker 1: are going to go on, and we are going to

1059
01:11:34,200 --> 01:11:41,160
Speaker 1: thumb our noses at the forces of violent oppression, not anymore.

1060
01:11:42,280 --> 01:11:47,600
Speaker 1: Twenty four years later, Paris and Tokyo have just canceled

1061
01:11:47,760 --> 01:11:52,839
Speaker 1: their New Year's Eve celebrations. Paris has a very famous

1062
01:11:53,200 --> 01:11:57,360
Speaker 1: live concert on the champ Selyse, which is the famous

1063
01:11:58,040 --> 01:12:01,160
Speaker 1: street where you've got pretty much every high end store

1064
01:12:01,240 --> 01:12:04,800
Speaker 1: in the entire world is on the chave Selyse. The

1065
01:12:04,920 --> 01:12:13,120
Speaker 1: mayor of the eighth Arrondissement of Paris, Jean di Hatte Siree,

1066
01:12:14,040 --> 01:12:18,200
Speaker 1: told Chense France, I think my French is absolutely horrific

1067
01:12:18,280 --> 01:12:20,919
Speaker 1: by the way that the cancelation is due to concerns

1068
01:12:20,920 --> 01:12:25,719
Speaker 1: about unpredictable crowds and that the areas are not sized

1069
01:12:25,840 --> 01:12:30,080
Speaker 1: to host this type of event where people are moving.

1070
01:12:30,160 --> 01:12:33,240
Speaker 1: There are still going to be fireworks over the Arc

1071
01:12:33,320 --> 01:12:37,160
Speaker 1: de Triant, but instead of a live concert, there's going

1072
01:12:37,240 --> 01:12:43,280
Speaker 1: to be a pre recorded one. In Tokyo, the Shibuya

1073
01:12:43,600 --> 01:12:47,519
Speaker 1: Countdown event has been canceled by the organizing committee. According

1074
01:12:47,560 --> 01:12:54,639
Speaker 1: to a governmental release, Shibuya ward mayor Ken Hasibe says,

1075
01:12:54,680 --> 01:12:56,720
Speaker 1: in order to create a safe and secure city, we

1076
01:12:56,840 --> 01:13:00,599
Speaker 1: continue to be vigilant against nuisance behavior arising from drinking

1077
01:13:00,680 --> 01:13:04,600
Speaker 1: on the street, as well as the risk of crowd accidents.

1078
01:13:05,320 --> 01:13:09,200
Speaker 1: The city of Belgrade in Serbia also announced it's canceled

1079
01:13:09,360 --> 01:13:15,960
Speaker 1: its celebrations. The cancelations come after the FBI busted a

1080
01:13:16,040 --> 01:13:19,840
Speaker 1: New Year's Eve bombing plot in Los Angeles, arresting four

1081
01:13:20,120 --> 01:13:24,200
Speaker 1: alleged gang members. The plot allegedly included a plan for

1082
01:13:24,280 --> 01:13:29,599
Speaker 1: coordinated bombing attacks using improvised explosive devices meant to target

1083
01:13:29,760 --> 01:13:35,120
Speaker 1: five separate locations across the city, as far as probably

1084
01:13:35,200 --> 01:13:38,720
Speaker 1: the most famous New Year's Eve celebration worldwide, New York

1085
01:13:38,760 --> 01:13:44,439
Speaker 1: City Times Square. That is still on. What is the

1086
01:13:44,640 --> 01:13:49,080
Speaker 1: real reason? It's not crowd control? And the plot in

1087
01:13:49,200 --> 01:13:54,920
Speaker 1: Los Angeles actually involved leftist radicals, not Islamist radicals. But

1088
01:13:55,080 --> 01:13:58,759
Speaker 1: what do you think Paris is actually worried about. Tokyo

1089
01:13:58,880 --> 01:14:03,720
Speaker 1: doesn't really have this problem because Japan understands how to

1090
01:14:03,880 --> 01:14:09,920
Speaker 1: do immigration. Wisely, what do you think Belgrade in Serbia

1091
01:14:10,200 --> 01:14:15,440
Speaker 1: is concerned about? They're concerned about Islamic terrorism. They're concerned

1092
01:14:15,479 --> 01:14:21,320
Speaker 1: about a Bondai Beach type attack down in Australia. But

1093
01:14:21,479 --> 01:14:26,519
Speaker 1: instead of dramatically beefing up security or heaven forfend, rounding

1094
01:14:26,800 --> 01:14:30,439
Speaker 1: up the people who are strongly suspected of being part

1095
01:14:30,520 --> 01:14:34,519
Speaker 1: of Islamic terrorist rings, because that would be too politically incorrect,

1096
01:14:34,760 --> 01:14:39,120
Speaker 1: they're simply canceling New Year's Eve parties. We can't have

1097
01:14:39,240 --> 01:14:43,200
Speaker 1: a live concert. Why because they're terrified there will be

1098
01:14:43,240 --> 01:14:47,000
Speaker 1: another attack like the one about a decade ago that

1099
01:14:47,280 --> 01:14:52,320
Speaker 1: targeted theater goers during a concert. Again, Islamic radicalism. And

1100
01:14:52,439 --> 01:14:55,960
Speaker 1: there's no doubt, there can be no denying that. Over

1101
01:14:56,040 --> 01:15:00,920
Speaker 1: the past couple of weeks, all focused on one horrible Saturday,

1102
01:15:01,080 --> 01:15:06,599
Speaker 1: this past Saturday, there has been a rise in Islamis attacks.

1103
01:15:07,320 --> 01:15:11,479
Speaker 1: There has been a massive rise in Islamist attacks, especially

1104
01:15:11,600 --> 01:15:15,439
Speaker 1: those targeting Jewish communities, since October seventh, twenty twenty three.

1105
01:15:16,760 --> 01:15:19,760
Speaker 1: Oh yes, a response to the Israeli genocide. Give me

1106
01:15:19,840 --> 01:15:23,000
Speaker 1: a break. No, it is an excuse to kill Jewish people.

1107
01:15:23,160 --> 01:15:27,720
Speaker 1: It is an excuse to quote globalize the Intifada. Well,

1108
01:15:27,800 --> 01:15:32,439
Speaker 1: guess what. The Intefada has been successfully globalized. We will

1109
01:15:32,560 --> 01:15:36,080
Speaker 1: name the Unsung Hero of the Day when The Dan

1110
01:15:36,160 --> 01:15:44,040
Speaker 1: O'Donnell Show returns in just a minute. Shoot, just looking

1111
01:15:44,040 --> 01:15:46,000
Speaker 1: at the clock, realizing we don't have enough time to

1112
01:15:46,120 --> 01:15:49,519
Speaker 1: do the Unsung Hero of the Day in just the

1113
01:15:49,760 --> 01:15:52,760
Speaker 1: thirty seconds or so that we have before. We've got

1114
01:15:52,800 --> 01:15:54,320
Speaker 1: to go to the top of the hour news. But

1115
01:15:55,040 --> 01:15:57,000
Speaker 1: after we get back, I am going to outline what

1116
01:15:57,080 --> 01:16:01,280
Speaker 1: I believe should be priority numero know in the new

1117
01:16:01,360 --> 01:16:04,240
Speaker 1: year for the Wisconsin State Legislator. It's something that can

1118
01:16:04,560 --> 01:16:08,760
Speaker 1: actually get done. Governor Eagers would actually sign it, and

1119
01:16:08,880 --> 01:16:12,599
Speaker 1: it needs to be the top priority, or at least

1120
01:16:12,640 --> 01:16:16,120
Speaker 1: one of the top priorities for the new legislative session.

1121
01:16:16,200 --> 01:16:26,760
Speaker 1: We'll get to it coming up next after Welcome back

1122
01:16:26,800 --> 01:16:29,679
Speaker 1: to the Dan o'donald Show. Final hour of this busy

1123
01:16:29,800 --> 01:16:33,479
Speaker 1: broadcast week. That means in about twenty minutes, possibly a

1124
01:16:33,520 --> 01:16:35,519
Speaker 1: half hour. Occasionally we have to push it back, and

1125
01:16:35,640 --> 01:16:37,720
Speaker 1: this might be one of those days because there are

1126
01:16:37,720 --> 01:16:41,240
Speaker 1: a number of stories I want to get to on

1127
01:16:41,400 --> 01:16:44,880
Speaker 1: this Friday afternoon, how bizarre coming up at some point

1128
01:16:45,200 --> 01:16:48,840
Speaker 1: this hour. We are going to have some fun with that.

1129
01:16:49,560 --> 01:16:52,479
Speaker 1: You are listening, of course, to The Dan o'donald Show.

1130
01:16:52,920 --> 01:16:55,439
Speaker 1: Conservative Thought not just talking. If you'd like to join

1131
01:16:55,560 --> 01:16:58,320
Speaker 1: us four one, four seven, nine, nine eleven thirty on

1132
01:16:58,400 --> 01:17:01,519
Speaker 1: our nows dot com talk and text line, you can

1133
01:17:01,600 --> 01:17:05,320
Speaker 1: email me Dode at iHeartMedia dot com, at Dan o'donald's

1134
01:17:05,320 --> 01:17:08,479
Speaker 1: show on x on Facebook, on Instagram, on YouTube. We

1135
01:17:08,560 --> 01:17:13,639
Speaker 1: are broadcasting streaming live on all of those and please

1136
01:17:13,680 --> 01:17:17,400
Speaker 1: do subscribe to the Dan o'donald Show podcast on iHeart

1137
01:17:18,320 --> 01:17:22,280
Speaker 1: Radio Weird. The Justice Department has released more of the

1138
01:17:22,479 --> 01:17:26,240
Speaker 1: Epstein files, and the media does not seem to be

1139
01:17:26,320 --> 01:17:30,160
Speaker 1: going as crazy. There just is not the same level

1140
01:17:30,200 --> 01:17:34,879
Speaker 1: of hyperventilation as when House Democrats on the Oversight Committee

1141
01:17:34,920 --> 01:17:38,760
Speaker 1: selectively released a handful of photos that had already been out.

1142
01:17:38,840 --> 01:17:42,439
Speaker 1: The worst of them had to be a picture of

1143
01:17:42,520 --> 01:17:47,679
Speaker 1: Donald Trump with about seven faces blacked out, redacted clearly

1144
01:17:47,760 --> 01:17:54,000
Speaker 1: because they were miners right ron, they were women, They

1145
01:17:54,040 --> 01:17:58,360
Speaker 1: were at some event, all of age, all very obviously

1146
01:17:58,479 --> 01:18:01,320
Speaker 1: over the age of eighteen. In fact, the New York

1147
01:18:01,439 --> 01:18:04,559
Speaker 1: Times came out and said it it tried to bury

1148
01:18:04,680 --> 01:18:06,960
Speaker 1: the lead. Let me see if I can find the

1149
01:18:07,200 --> 01:18:11,559
Speaker 1: specific quote from a New York Times report this week.

1150
01:18:14,560 --> 01:18:18,439
Speaker 1: Mister Epstein had a talent for acquiring powerful friends, some

1151
01:18:18,640 --> 01:18:21,920
Speaker 1: of whom have become ensnared in the continuing scrutiny of

1152
01:18:21,960 --> 01:18:26,400
Speaker 1: his crimes. For months, mister Trump has labored furiously to

1153
01:18:26,560 --> 01:18:30,160
Speaker 1: shift himself out of the frame, dismissing questions about his

1154
01:18:30,320 --> 01:18:34,320
Speaker 1: relationship with mister Epstein as a Democrat hoax and imploring

1155
01:18:34,479 --> 01:18:38,360
Speaker 1: his supporters to ignore the matter entirely. An examination of

1156
01:18:38,439 --> 01:18:40,479
Speaker 1: their history by The New York Times has found no

1157
01:18:40,600 --> 01:18:44,040
Speaker 1: evidence implicating mister Trump in mister Epstein's abuse and trafficking

1158
01:18:44,120 --> 01:18:49,200
Speaker 1: of minors. Now, don't you think that's a massive headline

1159
01:18:49,360 --> 01:18:53,919
Speaker 1: right there? The New York Times has found zero evidence

1160
01:18:54,560 --> 01:19:01,519
Speaker 1: that Donald Trump is tied to Jeffrey Epstein. They don't

1161
01:19:01,560 --> 01:19:05,240
Speaker 1: want to report that in a screaming headline on page one,

1162
01:19:05,880 --> 01:19:09,599
Speaker 1: so it will be in paragraph six. Say and listen

1163
01:19:09,640 --> 01:19:12,599
Speaker 1: to how this Listen to how this paragraph is framed.

1164
01:19:14,880 --> 01:19:18,960
Speaker 1: Mister Trump has labored furiously to shift himself out of

1165
01:19:19,000 --> 01:19:22,160
Speaker 1: the frame, dismissing questions about his relationship with mister Epstein

1166
01:19:22,200 --> 01:19:25,840
Speaker 1: as a Democrat hoax, after imploring his supporters to ignore

1167
01:19:25,880 --> 01:19:31,680
Speaker 1: the matter entirely. That sentence one, it sets up the

1168
01:19:31,800 --> 01:19:34,680
Speaker 1: idea that Trump has something to hide. He's looking to

1169
01:19:34,760 --> 01:19:41,640
Speaker 1: shift himself out of the scrutinizing glare of Jeffrey Epstein

1170
01:19:44,200 --> 01:19:48,000
Speaker 1: very next sentence. Oh yeah, An examination of their history

1171
01:19:48,040 --> 01:19:50,040
Speaker 1: by The New York Times is found no evidence implicating

1172
01:19:50,080 --> 01:19:52,920
Speaker 1: mister Trump and mister Epstein's abuse in trafficking of minors. Uh,

1173
01:19:53,360 --> 01:19:58,400
Speaker 1: that's sort of your headline, you know. Damn well, the

1174
01:19:58,560 --> 01:20:03,800
Speaker 1: New York Times, just as the Biden Justice Department would

1175
01:20:03,840 --> 01:20:07,880
Speaker 1: have had a screaming banner headline, Donald Trump implicated in

1176
01:20:08,000 --> 01:20:11,600
Speaker 1: Jeffrey Epstein's crimes. If there was even a sintilla of

1177
01:20:11,840 --> 01:20:15,599
Speaker 1: evidence suggesting that there was a connection, it should tell

1178
01:20:15,640 --> 01:20:19,120
Speaker 1: you something that they made up a connection with Vladimir

1179
01:20:19,200 --> 01:20:22,960
Speaker 1: Putin's Russia out of whole cloth in an effort to

1180
01:20:23,040 --> 01:20:29,719
Speaker 1: sink Trump's candidacy and then presidency. There's so little tying

1181
01:20:29,840 --> 01:20:34,479
Speaker 1: Donald Trump to Jeffrey Epstein that they didn't do a thing.

1182
01:20:34,800 --> 01:20:40,440
Speaker 1: Don't you think it is weird? In twenty twenty Democrats

1183
01:20:41,080 --> 01:20:42,720
Speaker 1: less than a year, a little more than a year

1184
01:20:42,720 --> 01:20:47,479
Speaker 1: actually after Jeffrey Epstein didn't kill himself. I'm kidding. I

1185
01:20:47,680 --> 01:20:51,000
Speaker 1: actually do believe that the evidence overwhelmingly points to the

1186
01:20:51,040 --> 01:20:55,080
Speaker 1: fact that Jeffrey Epstein did commit suicide in his cell

1187
01:20:58,080 --> 01:21:02,280
Speaker 1: don't you think it's weird? At nobody thought to you.

1188
01:21:02,640 --> 01:21:04,800
Speaker 1: There are pictures, and there were pictures all over the

1189
01:21:04,880 --> 01:21:08,799
Speaker 1: place of Trump and Epstein together at parties, smiling together

1190
01:21:09,360 --> 01:21:13,800
Speaker 1: with women together. They didn't think to tie Trump to

1191
01:21:13,880 --> 01:21:19,559
Speaker 1: Jeffrey Epstein when Biden took control, when Merrick Garland took

1192
01:21:19,680 --> 01:21:23,840
Speaker 1: control of the Justice Department, they didn't think to check

1193
01:21:23,920 --> 01:21:27,240
Speaker 1: to see if they could tie Trump. Instead, they tried

1194
01:21:27,320 --> 01:21:31,480
Speaker 1: to convict him on all manner of crimes that they invented.

1195
01:21:32,560 --> 01:21:38,679
Speaker 1: They invented crimes, They criminalized things that were not actually criminal.

1196
01:21:40,280 --> 01:21:41,960
Speaker 1: Don't you think it would have been a lot easier

1197
01:21:42,040 --> 01:21:46,800
Speaker 1: for the public to understand not thirty four counts of

1198
01:21:47,600 --> 01:21:51,320
Speaker 1: vaguely defrauding the State of New York, even though there

1199
01:21:51,479 --> 01:21:55,080
Speaker 1: was no actual victim of fraud. They would have rather

1200
01:21:55,200 --> 01:22:03,760
Speaker 1: had Donald Trump traffics miners for sex. They didn't. The

1201
01:22:04,040 --> 01:22:08,680
Speaker 1: Justice Department through everything it had at Donald Trump, but

1202
01:22:08,920 --> 01:22:13,800
Speaker 1: not Jeffrey Epstein. Yet, somehow, randomly, in the summer of

1203
01:22:13,880 --> 01:22:18,120
Speaker 1: twenty twenty five, we are expected to believe that, in

1204
01:22:18,200 --> 01:22:19,840
Speaker 1: spite of the fact that The New York Times has

1205
01:22:19,880 --> 01:22:23,080
Speaker 1: been searching probably for six years, ever since Epstein didn't

1206
01:22:23,120 --> 01:22:26,719
Speaker 1: kill himself for evidence tying Trump to Epstein's crimes, couldn't

1207
01:22:26,720 --> 01:22:29,920
Speaker 1: find any and had to admit it. The Justice Department,

1208
01:22:30,040 --> 01:22:33,240
Speaker 1: under the control of radical Democrats, who literally did try

1209
01:22:33,320 --> 01:22:38,280
Speaker 1: to end Trump's life, try to destroy his life with

1210
01:22:38,400 --> 01:22:43,120
Speaker 1: criminal prosecutions, didn't find enough evidence to even bring a

1211
01:22:43,400 --> 01:22:49,360
Speaker 1: criminal case or anything against Trump. But just randomly, randomly,

1212
01:22:50,000 --> 01:22:55,400
Speaker 1: Trump is best buddies with Jeffrey Epstein, and there's all

1213
01:22:55,520 --> 01:22:58,240
Speaker 1: manner of evidence to suggest that Trump's a pedophile. Okay,

1214
01:22:59,479 --> 01:23:02,760
Speaker 1: man amount of stuff that you have to believe if

1215
01:23:02,800 --> 01:23:07,000
Speaker 1: you're a liberal. This is a genuine question. I know

1216
01:23:07,120 --> 01:23:09,320
Speaker 1: there are a lot of you who used to be liberals.

1217
01:23:10,560 --> 01:23:13,639
Speaker 1: Did it just tick you off when you realized how

1218
01:23:13,760 --> 01:23:18,280
Speaker 1: often you were lied to, how consistently the people you

1219
01:23:18,479 --> 01:23:21,799
Speaker 1: look up to, the politicians you vote for, the media

1220
01:23:21,880 --> 01:23:26,839
Speaker 1: figures you trust, Just how like, what was I'm genuinely

1221
01:23:26,920 --> 01:23:28,920
Speaker 1: curious about this. If you have a if you have

1222
01:23:29,000 --> 01:23:33,360
Speaker 1: a story, or at least brief story, what was the event,

1223
01:23:33,479 --> 01:23:37,640
Speaker 1: what was the tipping point for you where it was like,

1224
01:23:38,720 --> 01:23:42,080
Speaker 1: these people are just dishonest about everything. They're just they're

1225
01:23:42,200 --> 01:23:47,280
Speaker 1: they're lying. It's sort of like when the Soviet Union

1226
01:23:47,520 --> 01:23:51,600
Speaker 1: started to fall they opened themselves up. Was that glassnost

1227
01:23:51,720 --> 01:23:55,320
Speaker 1: or Paristreika. It was the opening where they were finally

1228
01:23:55,400 --> 01:23:59,920
Speaker 1: going to tell their people the truth about history, about

1229
01:24:00,280 --> 01:24:05,080
Speaker 1: global affairs, about everything. For decades of repressive society, they

1230
01:24:05,439 --> 01:24:10,280
Speaker 1: cracked down on free thought. They had to cancel the

1231
01:24:10,400 --> 01:24:14,960
Speaker 1: final exams for school children because the teachers realized, Hey,

1232
01:24:15,360 --> 01:24:20,280
Speaker 1: all of the answers in our textbooks are wrong now

1233
01:24:20,360 --> 01:24:24,599
Speaker 1: that we know the truth. I feel like that's how

1234
01:24:24,640 --> 01:24:27,559
Speaker 1: it must feel for Democrats. So I guess if if

1235
01:24:27,640 --> 01:24:30,280
Speaker 1: there was a seminal event four one, four, seven, nine, nine,

1236
01:24:30,400 --> 01:24:36,800
Speaker 1: eleven thirty that made you say, because it I'm trying

1237
01:24:36,800 --> 01:24:39,160
Speaker 1: to think of a famous exam, I know there was somebody,

1238
01:24:40,000 --> 01:24:42,240
Speaker 1: maybe it was Musk. It was somebody who said there

1239
01:24:42,320 --> 01:24:46,840
Speaker 1: was like one specific thing that he realized they were

1240
01:24:46,960 --> 01:24:50,599
Speaker 1: lying to him about, and then he couldn't stop seeing

1241
01:24:50,680 --> 01:24:55,200
Speaker 1: their lies. Will, as Jensaki would say, circle back to

1242
01:24:55,320 --> 01:24:59,840
Speaker 1: that in just a second, folks, I am convinced the

1243
01:25:00,160 --> 01:25:06,400
Speaker 1: number one legislative priority needs to be counting the stupid

1244
01:25:06,640 --> 01:25:12,559
Speaker 1: absentee ballots in Wisconsin. The day before election day, there

1245
01:25:12,680 --> 01:25:16,839
Speaker 1: was an opinion piece by Scott McCallum, the former lieutenant

1246
01:25:16,840 --> 01:25:22,400
Speaker 1: governor and governor and Sam Libert, who said, now, of

1247
01:25:22,439 --> 01:25:26,280
Speaker 1: course their take is, don't allow election deniers to so

1248
01:25:26,600 --> 01:25:30,519
Speaker 1: doubt the fix is easy. Huh okay, thank you, Scott.

1249
01:25:31,240 --> 01:25:37,680
Speaker 1: The election deniers basically what the bill would do, and

1250
01:25:38,120 --> 01:25:43,360
Speaker 1: as McCallum and Libert point out, there is no actual bill.

1251
01:25:44,120 --> 01:25:46,680
Speaker 1: I think the last one that was even circulated was

1252
01:25:46,720 --> 01:25:50,439
Speaker 1: in twenty twenty three that would allow for the counting

1253
01:25:50,520 --> 01:25:54,400
Speaker 1: of absentee ballots before election day. Wisconsin is apparently one

1254
01:25:54,439 --> 01:25:58,560
Speaker 1: of just seven states that do not allow clerks to

1255
01:25:58,720 --> 01:26:03,080
Speaker 1: process absentee ballot it's before election day. I still have

1256
01:26:03,320 --> 01:26:07,160
Speaker 1: not gotten a very good explanation as to why this is.

1257
01:26:08,600 --> 01:26:13,000
Speaker 1: But for some reason, this just cannot get enough support.

1258
01:26:13,320 --> 01:26:16,320
Speaker 1: I believe it has the support in the State Assembly,

1259
01:26:16,400 --> 01:26:18,639
Speaker 1: but not the state Senate, though I could be wrong

1260
01:26:18,680 --> 01:26:21,200
Speaker 1: about that, because it's been a long time since I've

1261
01:26:21,320 --> 01:26:23,559
Speaker 1: talked about this, because it's been a long time since

1262
01:26:23,920 --> 01:26:27,320
Speaker 1: anybody thought that this is something that we need to pass.

1263
01:26:27,479 --> 01:26:31,040
Speaker 1: It is not for the reasons that Scott McCallum and

1264
01:26:31,439 --> 01:26:36,679
Speaker 1: Sam Lyvert in the Milwaukee Journal Sentinel opinion page believe

1265
01:26:36,720 --> 01:26:41,560
Speaker 1: it to be, but because it's just good policy and

1266
01:26:41,840 --> 01:26:45,679
Speaker 1: if you actually do believe that there are nefarious things

1267
01:26:45,760 --> 01:26:49,280
Speaker 1: that go on in the dead of night on election

1268
01:26:49,479 --> 01:26:53,920
Speaker 1: night with absentee ballots. Oh did you see? Fulton County,

1269
01:26:54,080 --> 01:26:57,560
Speaker 1: Georgia was just forced to admit five years later that

1270
01:26:57,680 --> 01:27:02,400
Speaker 1: they did absolutely allow three hundred thousand ballots to be

1271
01:27:02,520 --> 01:27:05,640
Speaker 1: counted even though there was no witness signature, There was

1272
01:27:05,720 --> 01:27:09,639
Speaker 1: no staff member, there was no election worker signature on them.

1273
01:27:10,720 --> 01:27:13,960
Speaker 1: That's unlawful. That is that is not a legally countable ballot.

1274
01:27:14,040 --> 01:27:17,960
Speaker 1: Doesn't mean it's fraudulent, It just means without that signature,

1275
01:27:18,160 --> 01:27:22,200
Speaker 1: without that essentially a witness saying hey, yes, this is

1276
01:27:22,280 --> 01:27:26,800
Speaker 1: a legally cast ballot. This was properly cast three hundred thousand.

1277
01:27:26,840 --> 01:27:29,320
Speaker 1: I believe the total is three hundred and fifteen thousand.

1278
01:27:30,520 --> 01:27:34,320
Speaker 1: For five years, you are called a conspiracy theorist if

1279
01:27:34,320 --> 01:27:36,719
Speaker 1: you believe that there was anything wrong with how Fulton

1280
01:27:36,800 --> 01:27:41,960
Speaker 1: County was counting it found Rudy Giuliani was sued into

1281
01:27:42,120 --> 01:27:46,000
Speaker 1: oblivion by those two ladies who I still have not

1282
01:27:46,080 --> 01:27:50,160
Speaker 1: gotten a good explanation why the box of ballots needed

1283
01:27:50,240 --> 01:27:54,479
Speaker 1: to be under their table until like two am when

1284
01:27:54,520 --> 01:27:57,720
Speaker 1: it was finally pulled out. What is that proper chain

1285
01:27:57,800 --> 01:28:03,120
Speaker 1: of custody. It's under Ruby Freeman and Shad Moss or

1286
01:28:03,160 --> 01:28:06,080
Speaker 1: whatever her name was, the mother daughter. It's under their

1287
01:28:06,160 --> 01:28:08,360
Speaker 1: table and they just kind of pull it out. I'm

1288
01:28:08,400 --> 01:28:11,559
Speaker 1: not saying that they did anything nefarious. It just seems

1289
01:28:11,640 --> 01:28:14,799
Speaker 1: like an odd place to stuff a box full of ballots.

1290
01:28:17,640 --> 01:28:23,000
Speaker 1: Trump was criminally charged, like a dozen people were criminally

1291
01:28:23,280 --> 01:28:27,240
Speaker 1: charged for saying, hey, it sure looks like Fulton County

1292
01:28:27,560 --> 01:28:31,080
Speaker 1: was not running its election in accordance with Georgia state law.

1293
01:28:31,600 --> 01:28:34,559
Speaker 1: Five years later, when it's safe to admit yes, when

1294
01:28:34,600 --> 01:28:38,040
Speaker 1: it doesn't matter, yes, we did allow three hundred thousand

1295
01:28:38,120 --> 01:28:42,640
Speaker 1: ballots to be counted that shouldn't have been counted. That is,

1296
01:28:43,000 --> 01:28:45,599
Speaker 1: Does that make me, to Scott McCallum an election denier

1297
01:28:45,920 --> 01:28:51,200
Speaker 1: or does that mean I can pay attention to what

1298
01:28:51,439 --> 01:28:55,840
Speaker 1: is going on right in front of me. The best

1299
01:28:56,000 --> 01:29:01,760
Speaker 1: reason that you would want ballots counted day before is

1300
01:29:01,840 --> 01:29:07,160
Speaker 1: because Republican attorneys don't need to be stretched so thin.

1301
01:29:07,320 --> 01:29:12,960
Speaker 1: Democrat attorneys too, They can be after twelve thirteen, fourteen

1302
01:29:13,240 --> 01:29:15,799
Speaker 1: hours and now all of a sudden, at eleven PM,

1303
01:29:15,920 --> 01:29:19,880
Speaker 1: we're gonna start counting the ballots. You can when you're

1304
01:29:19,920 --> 01:29:24,320
Speaker 1: fresh as a daisy. At eight am nine am, start

1305
01:29:24,400 --> 01:29:26,679
Speaker 1: counting the ballots of the day before and be focused

1306
01:29:26,760 --> 01:29:29,800
Speaker 1: on nothing but that. You don't have to worry about

1307
01:29:30,280 --> 01:29:33,680
Speaker 1: voting machines breaking down. You have to deploy the attorneys

1308
01:29:33,840 --> 01:29:36,280
Speaker 1: to talk to poll workers about how much later you're

1309
01:29:36,320 --> 01:29:38,920
Speaker 1: going to keep the polls open because there were this

1310
01:29:39,120 --> 01:29:41,599
Speaker 1: many hours of voting that were missed during the day.

1311
01:29:42,520 --> 01:29:45,240
Speaker 1: You have to deal with all manner of stuff. Because

1312
01:29:45,280 --> 01:29:48,400
Speaker 1: we still do have a lot of people who vote

1313
01:29:48,520 --> 01:29:51,240
Speaker 1: on election day, I have been making it my personal

1314
01:29:51,400 --> 01:29:56,040
Speaker 1: mission to get as many of my listeners voting early

1315
01:29:56,240 --> 01:30:01,519
Speaker 1: as possible, because again, you don't know what might happen

1316
01:30:02,160 --> 01:30:06,120
Speaker 1: between the day you actually bank your ballot and the

1317
01:30:06,240 --> 01:30:10,479
Speaker 1: day that you have to vote by You could be

1318
01:30:10,520 --> 01:30:14,479
Speaker 1: in a car accident, your mother could die, something could

1319
01:30:14,560 --> 01:30:17,200
Speaker 1: happen that would keep you from voting. And people who say, well, Dan,

1320
01:30:17,240 --> 01:30:21,200
Speaker 1: I'm going to vote regardless. Yes, you will, but chances

1321
01:30:21,280 --> 01:30:24,920
Speaker 1: are there is somebody who I am talking to who

1322
01:30:25,080 --> 01:30:28,960
Speaker 1: may or may not if they don't vote. It's not

1323
01:30:29,120 --> 01:30:31,160
Speaker 1: the end of the world to them. Yes, I know

1324
01:30:31,320 --> 01:30:35,519
Speaker 1: you might die. Hard listeners, obviously, your high propensity voters,

1325
01:30:35,560 --> 01:30:37,600
Speaker 1: you're going to vote in every single election you're going

1326
01:30:37,600 --> 01:30:42,160
Speaker 1: to vote in the upcoming Spring primary this February. There

1327
01:30:42,160 --> 01:30:43,519
Speaker 1: are a lot of people that won't. There are a

1328
01:30:43,560 --> 01:30:44,920
Speaker 1: lot of people who say, oh, I just kind of

1329
01:30:44,920 --> 01:30:46,840
Speaker 1: forgot about it. But if I'm giving you this message, hey,

1330
01:30:46,880 --> 01:30:49,479
Speaker 1: caster ballad early, Hey, cast ballad early, cast ballad early,

1331
01:30:50,560 --> 01:30:54,719
Speaker 1: those people will be able to have their votes banked.

1332
01:30:55,360 --> 01:30:57,519
Speaker 1: So what I try to explain is there is a

1333
01:30:57,680 --> 01:31:03,040
Speaker 1: cost associated with getting your vote you, specifically John Smith

1334
01:31:03,439 --> 01:31:05,600
Speaker 1: sitting in traffic listening to me right now, there is

1335
01:31:05,640 --> 01:31:09,799
Speaker 1: a cost associated with not just getting you to vote

1336
01:31:09,880 --> 01:31:12,760
Speaker 1: for say Maria Lazaar for State Supreme Court, but for

1337
01:31:12,880 --> 01:31:19,000
Speaker 1: getting you to vote at all. Once your vote is banked, No,

1338
01:31:19,320 --> 01:31:22,160
Speaker 1: it doesn't mean that the postcards are going to stop,

1339
01:31:22,240 --> 01:31:25,000
Speaker 1: the calls, the texts are necessarily going to stop. Because

1340
01:31:25,320 --> 01:31:28,479
Speaker 1: the data operation is not quite that good yet. We

1341
01:31:28,600 --> 01:31:31,360
Speaker 1: can't see in real time. Hey, your ballot was already

1342
01:31:31,479 --> 01:31:35,880
Speaker 1: dropped off. You have already voted, and a lot of

1343
01:31:35,920 --> 01:31:38,519
Speaker 1: this stuff is still done algorithmically. But trust me, with

1344
01:31:38,640 --> 01:31:42,320
Speaker 1: the advent of AI, we can probably within the next

1345
01:31:42,360 --> 01:31:44,720
Speaker 1: couple of election cycles do a much better job of Okay,

1346
01:31:44,800 --> 01:31:47,320
Speaker 1: John Smith has already turned in his ballot, No need

1347
01:31:47,439 --> 01:31:52,000
Speaker 1: to continue to expend resources on John Smith. But as

1348
01:31:52,040 --> 01:31:54,320
Speaker 1: a general rule, you want to get why do you

1349
01:31:54,400 --> 01:31:57,679
Speaker 1: think Democrats want more early voting, more mail in ballots

1350
01:31:58,040 --> 01:32:01,639
Speaker 1: because they think it's an advantage, because they think they're

1351
01:32:01,720 --> 01:32:04,120
Speaker 1: going to win every election if they can just get

1352
01:32:04,120 --> 01:32:07,120
Speaker 1: a mail in ballot in every single human being's hand,

1353
01:32:07,560 --> 01:32:10,400
Speaker 1: and then who knows who actually returns those ballots or

1354
01:32:10,439 --> 01:32:12,800
Speaker 1: even fills them out. But there are enough ballots in

1355
01:32:12,880 --> 01:32:15,880
Speaker 1: the wild that enough of them can be returned that

1356
01:32:16,080 --> 01:32:19,360
Speaker 1: there's just no way that anybody could possibly catch them

1357
01:32:19,400 --> 01:32:26,080
Speaker 1: on election day, catch them in the vote count. My

1358
01:32:26,280 --> 01:32:30,320
Speaker 1: point is and has always been, I hate mail in balloting.

1359
01:32:30,400 --> 01:32:34,800
Speaker 1: I hate early voting, hate hate My goal is to

1360
01:32:34,920 --> 01:32:37,920
Speaker 1: get Republicans to get Conservatives so good at it that

1361
01:32:38,080 --> 01:32:41,559
Speaker 1: Democrats are begging us to simply go back to voting

1362
01:32:41,640 --> 01:32:44,479
Speaker 1: on one day only. I doubt that's ever going to happen,

1363
01:32:44,960 --> 01:32:49,920
Speaker 1: but it's my dream. I have yet to hear a

1364
01:32:50,080 --> 01:32:54,560
Speaker 1: good argument for why having all of the legal and

1365
01:32:54,960 --> 01:33:00,400
Speaker 1: election observer resources focused on one central count facility or

1366
01:33:01,360 --> 01:33:04,719
Speaker 1: a handful of areas where there are mail in ballots,

1367
01:33:04,800 --> 01:33:11,559
Speaker 1: say in a municipality, instead of being spread so thin

1368
01:33:12,080 --> 01:33:14,360
Speaker 1: that you have to have all of your election day

1369
01:33:14,479 --> 01:33:20,280
Speaker 1: resources then redeployed to monitor the opening and the feeding

1370
01:33:20,600 --> 01:33:24,720
Speaker 1: of absentee ballots. What do you think is going to

1371
01:33:24,800 --> 01:33:27,720
Speaker 1: be easier for a Republican pool watcher to be able

1372
01:33:27,800 --> 01:33:30,240
Speaker 1: to challenge a ballot? Do you think one after they've

1373
01:33:30,280 --> 01:33:32,920
Speaker 1: been working all day and it's now three am in

1374
01:33:33,040 --> 01:33:37,360
Speaker 1: Milwaukee and they're on their eighteenth cup of coffee or

1375
01:33:38,160 --> 01:33:42,439
Speaker 1: nine to thirty am, when you can see in broad

1376
01:33:42,479 --> 01:33:44,160
Speaker 1: down Oh, yep, yep, yep, that one doesn't have a

1377
01:33:44,200 --> 01:33:47,439
Speaker 1: signature up, yep, that one is not there's no address there. Hey,

1378
01:33:47,520 --> 01:33:50,479
Speaker 1: I'm going to challenge that one. It just makes it easier.

1379
01:33:51,680 --> 01:33:55,240
Speaker 1: And here's the thing. Democrats are on board. Democrats want this.

1380
01:33:55,400 --> 01:33:59,360
Speaker 1: Governor Evers wants this. It's one of those rare things

1381
01:34:00,120 --> 01:34:02,880
Speaker 1: that just makes way too much sense. All Right, we

1382
01:34:03,000 --> 01:34:06,880
Speaker 1: are going to get into how the protester community has

1383
01:34:07,000 --> 01:34:11,760
Speaker 1: responded to Hannah Dugan's conviction. A truly hilarious story. Think

1384
01:34:11,800 --> 01:34:15,200
Speaker 1: of it as like a preview of how bizarre. I

1385
01:34:15,280 --> 01:34:17,599
Speaker 1: want to make sure I get to this. So we're

1386
01:34:17,640 --> 01:34:21,240
Speaker 1: going to delay how Bizarre by one segment coming up next,

1387
01:34:21,760 --> 01:34:25,599
Speaker 1: the protester community in Milwaukee weighs in on the Hannah

1388
01:34:25,720 --> 01:34:36,600
Speaker 1: Dugan conviction. You know, we got a lot of perspective

1389
01:34:37,080 --> 01:34:44,240
Speaker 1: from the political circles, from the legal circles in Wisconsin

1390
01:34:44,920 --> 01:34:49,080
Speaker 1: about Hannah Dugan's conviction. Of course, as everybody knows by now,

1391
01:34:49,680 --> 01:34:52,719
Speaker 1: last night, about nine o'clock PM, maybe eight to forty

1392
01:34:52,760 --> 01:34:56,160
Speaker 1: five nine o'clock PM, a jury convicted her on a

1393
01:34:56,320 --> 01:35:00,320
Speaker 1: federal felony of obstruction of process, finding that when she

1394
01:35:00,600 --> 01:35:05,320
Speaker 1: snuck an illegal alien Violet criminal through her jury room

1395
01:35:05,560 --> 01:35:08,759
Speaker 1: doors and away from Ice agents at the Milwaukee County

1396
01:35:08,800 --> 01:35:12,920
Speaker 1: Courthouse last April, she interfered with a federal process. They

1397
01:35:13,000 --> 01:35:16,439
Speaker 1: did a quit her on the less serious charge of

1398
01:35:17,560 --> 01:35:24,360
Speaker 1: helping Eduardo Flores Rui's escape arrest. We heard from the

1399
01:35:24,360 --> 01:35:29,320
Speaker 1: Wisconsin Supreme Court, which could only muster a vague Hey,

1400
01:35:29,520 --> 01:35:34,960
Speaker 1: we are monitoring the situation. Frankly, she should be disbarred immediately.

1401
01:35:35,560 --> 01:35:40,280
Speaker 1: She should step down immediately. She absolutely is not. Republicans

1402
01:35:40,320 --> 01:35:43,200
Speaker 1: in the state legislature say they are going to move

1403
01:35:43,280 --> 01:35:45,880
Speaker 1: to impeach her if she doesn't step down immediately. She's

1404
01:35:45,920 --> 01:35:48,240
Speaker 1: not going to step down. She is absolutely not going

1405
01:35:48,320 --> 01:35:52,000
Speaker 1: to step down until her appeals are exhausted. She is

1406
01:35:52,120 --> 01:35:55,200
Speaker 1: now holding out hope that Judge Lydd Adelman is going

1407
01:35:55,240 --> 01:35:58,519
Speaker 1: to set aside that verdict and she's going to walk free.

1408
01:35:59,439 --> 01:36:01,680
Speaker 1: So we got all all these different perspectives. We of

1409
01:36:01,760 --> 01:36:04,479
Speaker 1: course heard from the US Attorney's office. We heard from

1410
01:36:05,120 --> 01:36:09,439
Speaker 1: Dugan's public era, Dugan's dream team public defenders. Yea farthest

1411
01:36:09,479 --> 01:36:13,120
Speaker 1: thing from it. She had a former US attorney, Steve Biscupik.

1412
01:36:13,160 --> 01:36:16,240
Speaker 1: Best he could come up with was putting Tom Barrett

1413
01:36:16,280 --> 01:36:18,720
Speaker 1: on the stand as a character witness. We heard from

1414
01:36:18,720 --> 01:36:22,920
Speaker 1: the attorneys, We heard from the politicians, We heard from everybody,

1415
01:36:23,520 --> 01:36:27,200
Speaker 1: but the Milwaukee Journal Sentinel needed to hear from the

1416
01:36:28,240 --> 01:36:35,479
Speaker 1: immigration rights protesters. Yes, there is an actual story tonight

1417
01:36:35,640 --> 01:36:42,759
Speaker 1: at jsonline dot com for protesters fear after the Hannah

1418
01:36:42,840 --> 01:36:48,519
Speaker 1: Dugan verdict. For Maxwell Love, the state political and campaign

1419
01:36:48,600 --> 01:36:53,479
Speaker 1: director for the Working Families Party, Dugan's guilty verdict sends

1420
01:36:53,560 --> 01:36:58,320
Speaker 1: a scary message across the nation. Witnesses may now be

1421
01:36:58,439 --> 01:37:01,120
Speaker 1: afraid to show up in court and tell the truth,

1422
01:37:01,200 --> 01:37:03,760
Speaker 1: he said in a statement to the Journal Sentinel. If

1423
01:37:03,880 --> 01:37:07,839
Speaker 1: witnesses do not feel safe, justice cannot work. That matters

1424
01:37:07,920 --> 01:37:11,439
Speaker 1: for everyday cases too, like car crashes or domestic violence.

1425
01:37:11,520 --> 01:37:16,160
Speaker 1: Our courts should protect people who come forward, not punish them.

1426
01:37:19,840 --> 01:37:24,800
Speaker 1: What else needs to happen for justice to work. Judges

1427
01:37:25,040 --> 01:37:29,760
Speaker 1: not to help defendants escape because they don't like the

1428
01:37:29,880 --> 01:37:34,600
Speaker 1: fact that said defendant might be deported by ice. This

1429
01:37:34,800 --> 01:37:39,200
Speaker 1: guy is concerned that the justice system might not work.

1430
01:37:41,960 --> 01:37:47,320
Speaker 1: I'm not saying Maxwell's love is stupid. I'm also not

1431
01:37:48,160 --> 01:37:53,640
Speaker 1: saying that he's really concerned about the justice system. She

1432
01:37:54,000 --> 01:37:58,880
Speaker 1: was charged and convicted for helping a guy escape, for

1433
01:37:59,080 --> 01:38:03,600
Speaker 1: helping a guy literally run out of her courtroom in

1434
01:38:03,720 --> 01:38:09,559
Speaker 1: all likelihood never ever ever to return. But his big

1435
01:38:09,720 --> 01:38:14,920
Speaker 1: concern is well, future witnesses might not show up to testify.

1436
01:38:15,160 --> 01:38:20,240
Speaker 1: Oh give me a break. Nick Ramos, executive director of

1437
01:38:20,360 --> 01:38:25,240
Speaker 1: the political watchdog group the Wisconsin Democracy Campaign, said the

1438
01:38:25,320 --> 01:38:29,320
Speaker 1: split verdict raises questions as to whether the jury understood

1439
01:38:29,479 --> 01:38:34,000
Speaker 1: the true nature of the case. If this verdict ends

1440
01:38:34,080 --> 01:38:36,559
Speaker 1: up standing, it's going to set a dangerous precedent where

1441
01:38:36,640 --> 01:38:39,719
Speaker 1: judges are going to have to think twice before enforcing

1442
01:38:39,920 --> 01:38:45,600
Speaker 1: due process because political or in this case, federal retaliation

1443
01:38:45,840 --> 01:38:50,240
Speaker 1: can happen. Ramos said, judicial independence is not a luxury.

1444
01:38:50,680 --> 01:38:53,880
Speaker 1: It's really one of the cornerstones of democracy, and if

1445
01:38:53,920 --> 01:38:58,800
Speaker 1: people see that our judiciary is starting to erode, then

1446
01:38:59,040 --> 01:39:08,640
Speaker 1: everything is at risk. Judicial independence. Judicial independent is a

1447
01:39:08,880 --> 01:39:14,000
Speaker 1: judge free to because she doesn't like Let's say Hannah

1448
01:39:14,080 --> 01:39:18,800
Speaker 1: Dugan is in Milwaukee County Circuit Court and she is

1449
01:39:19,040 --> 01:39:22,560
Speaker 1: referred a case by I don't know, let's say the

1450
01:39:22,800 --> 01:39:28,800
Speaker 1: the Greenfield Police Department. Sorry, Greenfield, gonna gonna pick on you.

1451
01:39:29,680 --> 01:39:35,080
Speaker 1: I was very dear friends with your old police chief,

1452
01:39:35,640 --> 01:39:39,040
Speaker 1: the late legendary Frank spring Off, very very dear friend.

1453
01:39:40,120 --> 01:39:42,719
Speaker 1: I'm gonna pick on you. Let's let's say Hannah Dugan

1454
01:39:43,840 --> 01:39:49,519
Speaker 1: had beef with Frank spring Off decades ago. She hates

1455
01:39:49,520 --> 01:39:54,640
Speaker 1: the Greenfield Police Department. Greenfield police bringing a guy for

1456
01:39:55,160 --> 01:39:57,920
Speaker 1: I don't know, beating his wife. How about this, he's

1457
01:39:58,000 --> 01:40:04,040
Speaker 1: beating his roommate, strangling him, and then beating the roommate's girlfriend.

1458
01:40:05,640 --> 01:40:12,160
Speaker 1: So white guy born and raised in Greenfield. But because

1459
01:40:12,200 --> 01:40:17,360
Speaker 1: she hates the Greenfield Police Department so much, she believes

1460
01:40:17,680 --> 01:40:22,680
Speaker 1: that clearly this purpose rights must have been violated, and

1461
01:40:22,880 --> 01:40:27,600
Speaker 1: instead of dismissing the case against him, or instead of

1462
01:40:28,240 --> 01:40:32,080
Speaker 1: letting justice be served, she just smuggles him out the

1463
01:40:32,160 --> 01:40:36,760
Speaker 1: courtroom under her robes. That poor guy, I would have

1464
01:40:36,840 --> 01:40:38,920
Speaker 1: rather gone to jail than go under her head of

1465
01:40:38,960 --> 01:40:43,960
Speaker 1: Dugand's robes. But in this example, would there be any

1466
01:40:44,120 --> 01:40:47,120
Speaker 1: doubt would that be something she would be allowed to do?

1467
01:40:47,720 --> 01:40:52,400
Speaker 1: Is that judicial independence? According to Nick Ramos, the executive

1468
01:40:52,439 --> 01:40:59,680
Speaker 1: director of the political watchdog group Wisconsin Democracy Campaign, judicial

1469
01:40:59,800 --> 01:41:02,080
Speaker 1: in dependence is not a luxury. It's really one of

1470
01:41:02,080 --> 01:41:05,240
Speaker 1: the cornerstones of democracy. And if people see that our

1471
01:41:05,320 --> 01:41:08,160
Speaker 1: judiciary is starting to erode, then everything is at risk. Yes,

1472
01:41:08,479 --> 01:41:12,040
Speaker 1: if judges aren't free to literally take the law into

1473
01:41:12,080 --> 01:41:15,799
Speaker 1: their own hands and sneak defendants away from actual justice,

1474
01:41:16,320 --> 01:41:21,400
Speaker 1: our justice system herodes great logic, Nick Ramos. He added

1475
01:41:21,720 --> 01:41:24,800
Speaker 1: that he hoped an appellate court would consider the constitution

1476
01:41:25,280 --> 01:41:29,960
Speaker 1: and whether Dugan's rights are being met. I'm hopeful the

1477
01:41:30,080 --> 01:41:33,960
Speaker 1: legal system still has safeguards that we can trust. He said.

1478
01:41:35,640 --> 01:41:43,719
Speaker 1: What rights were violated? She had the right to force

1479
01:41:43,840 --> 01:41:47,240
Speaker 1: the state to meet the burden of proof against her

1480
01:41:47,360 --> 01:41:52,160
Speaker 1: to be convicted. The state did in what way? She

1481
01:41:52,320 --> 01:41:57,679
Speaker 1: was never taken into custody and held she's a white

1482
01:41:57,680 --> 01:42:00,840
Speaker 1: collar criminal. She's not a flight risk. Doesn't look like

1483
01:42:00,920 --> 01:42:07,160
Speaker 1: she can still run that fast, Hannah Dugan, what rights

1484
01:42:07,200 --> 01:42:13,800
Speaker 1: were violated? So if what why are we taking these

1485
01:42:13,840 --> 01:42:16,600
Speaker 1: people seriously as though they have an intelligent thought in

1486
01:42:16,640 --> 01:42:21,400
Speaker 1: their head. Oh, because they're protesters for the right cause,

1487
01:42:22,720 --> 01:42:25,400
Speaker 1: and yet we have to legitimize them. All right, Well,

1488
01:42:26,760 --> 01:42:30,160
Speaker 1: I told you that that would be a good precursor,

1489
01:42:30,240 --> 01:42:32,880
Speaker 1: that would be a good lead into our next segment,

1490
01:42:32,960 --> 01:42:35,400
Speaker 1: Strangest Stories of the past week. It's how bizarre coming

1491
01:42:35,479 --> 01:42:45,960
Speaker 1: up next here on the Dan o'donald Show. Oh, I

1492
01:42:46,120 --> 01:42:50,880
Speaker 1: was just using a random example about why Hannah Dugan

1493
01:42:51,160 --> 01:42:57,320
Speaker 1: is very obviously guilty. And I said, let's use an

1494
01:42:57,360 --> 01:43:01,160
Speaker 1: example if it wasn't Ice, because the Libs all hate Ice.

1495
01:43:01,200 --> 01:43:06,760
Speaker 1: But let's just take a random, just weird local municipality

1496
01:43:07,000 --> 01:43:10,920
Speaker 1: that Hannah Dugan could have theoretically had a referral from

1497
01:43:10,960 --> 01:43:14,840
Speaker 1: the police viers and the Greenfield Police Department. And I

1498
01:43:14,920 --> 01:43:19,320
Speaker 1: happen to mention the long retired and now unfortunately deceased

1499
01:43:20,560 --> 01:43:23,559
Speaker 1: police chief of Greenfield, a longtime police chief, Frank Springob,

1500
01:43:24,240 --> 01:43:27,240
Speaker 1: and his widow Helen just reached out to me. I

1501
01:43:27,320 --> 01:43:29,160
Speaker 1: have not seen Helen in a good amount of time.

1502
01:43:29,200 --> 01:43:31,880
Speaker 1: She texted and said, Hey, Dan, I'm just driving around,

1503
01:43:32,000 --> 01:43:34,760
Speaker 1: thank you, And it was so you know, what a

1504
01:43:34,880 --> 01:43:38,080
Speaker 1: thrill to hear Frank. We just passed two years since

1505
01:43:38,200 --> 01:43:41,160
Speaker 1: his passing. I remembered he died around Christmas time. I

1506
01:43:41,240 --> 01:43:43,080
Speaker 1: did not know. I did not remember it was two

1507
01:43:43,120 --> 01:43:45,559
Speaker 1: years ago. My goodness, But I said, this is another

1508
01:43:45,600 --> 01:43:48,960
Speaker 1: reason I just love broadcasting in my commune. I'm actually

1509
01:43:48,960 --> 01:43:52,439
Speaker 1: originally from Greenfield, Yeah, Greenfield Hills Corners area. I went

1510
01:43:52,479 --> 01:43:55,760
Speaker 1: to Saint Mary's Hales Corners Winnell High School. And you know,

1511
01:43:56,040 --> 01:44:00,519
Speaker 1: just Frank's grandson and my oldest son were very, very

1512
01:44:00,600 --> 01:44:04,080
Speaker 1: good friends until the family moved to Menominee Falls years ago.

1513
01:44:04,840 --> 01:44:07,840
Speaker 1: And I mean they're still good friends. They you know,

1514
01:44:08,240 --> 01:44:10,320
Speaker 1: are on social media and it's different when you don't

1515
01:44:10,360 --> 01:44:13,120
Speaker 1: go to school, but the childhood best friends. I got

1516
01:44:13,160 --> 01:44:15,439
Speaker 1: to know the family very well, and it's warmed my heart.

1517
01:44:15,479 --> 01:44:18,639
Speaker 1: It's very cool to hear from her. So she said,

1518
01:44:18,720 --> 01:44:20,799
Speaker 1: Merry Christmas to you and your family. So Merry Christmas,

1519
01:44:20,880 --> 01:44:23,800
Speaker 1: Hellen too, you and and Steve and Laura and the

1520
01:44:24,080 --> 01:44:27,280
Speaker 1: entire Spring ofb family. We miss you, guys. We want

1521
01:44:27,320 --> 01:44:28,880
Speaker 1: to see you soon. All right, time now for the

1522
01:44:28,920 --> 01:44:31,719
Speaker 1: Stranger Stories in the past seven days, our weekly segment

1523
01:44:34,560 --> 01:44:37,559
Speaker 1: Howbazama and we had to push it back. We got

1524
01:44:37,640 --> 01:44:39,400
Speaker 1: to make it a little shorter, so I am just

1525
01:44:39,520 --> 01:44:44,360
Speaker 1: going to do Christmas themed bizarre stories this week. Several

1526
01:44:44,400 --> 01:44:47,719
Speaker 1: people dressed as Santa and a group of masked elves

1527
01:44:48,040 --> 01:44:50,599
Speaker 1: filmed at a grocery store in Montreal Monday night, filling

1528
01:44:50,680 --> 01:44:54,120
Speaker 1: up carts with food. They were festive, it seemed, but

1529
01:44:54,320 --> 01:44:57,719
Speaker 1: the group left the grocery store without paying. This happened

1530
01:44:57,720 --> 01:45:02,840
Speaker 1: in Montreal, where police spokesmen care chevre Fie confirmed and

1531
01:45:02,960 --> 01:45:06,599
Speaker 1: investigation is underway in connection with a shoplifting incident at

1532
01:45:06,640 --> 01:45:13,200
Speaker 1: a large retail store on Laurier Avenue. The spokesperson said

1533
01:45:13,200 --> 01:45:16,759
Speaker 1: it happened around nine to fifteen Monday night and involved

1534
01:45:16,840 --> 01:45:22,920
Speaker 1: several masked and disguised individuals who have left without paying

1535
01:45:23,200 --> 01:45:26,920
Speaker 1: for the food that they got. On social media, and

1536
01:45:27,080 --> 01:45:32,280
Speaker 1: activist calling themselves Robins of the Alleys and nod to

1537
01:45:32,400 --> 01:45:36,080
Speaker 1: Robinhood claimed responsibility for the heist. The group says the

1538
01:45:36,160 --> 01:45:41,559
Speaker 1: stolen food worth around three thousand bucks, was redistributed under

1539
01:45:41,600 --> 01:45:48,200
Speaker 1: a Christmas tree at Place Valois in Montreal's Mercy. You

1540
01:45:48,240 --> 01:45:49,880
Speaker 1: know what, I'm not even going to try this one.

1541
01:45:50,520 --> 01:45:55,120
Speaker 1: That is a long long list of hyphenated French names.

1542
01:45:55,320 --> 01:45:57,320
Speaker 1: It was a Burrow in Montreal. You don't know which

1543
01:45:57,360 --> 01:46:00,919
Speaker 1: one it was anyway, with leftovers going to various commuity fridges.

1544
01:46:02,320 --> 01:46:06,400
Speaker 1: My guess is that's not actually what happened at all.

1545
01:46:06,840 --> 01:46:09,840
Speaker 1: But the group described Monday's raid as a great food

1546
01:46:10,000 --> 01:46:13,839
Speaker 1: drive and a political call to action. Ladies and gentlemen.

1547
01:46:13,920 --> 01:46:18,320
Speaker 1: This is your modern American left. They really do think

1548
01:46:18,520 --> 01:46:23,519
Speaker 1: stealing is perfectly justifiable so long as it's a giant

1549
01:46:23,680 --> 01:46:26,840
Speaker 1: food chain. They don't believe a supermarket chain. They don't

1550
01:46:26,880 --> 01:46:29,559
Speaker 1: believe that there are any actual victims. This is actually

1551
01:46:29,640 --> 01:46:31,519
Speaker 1: what I'm talking about, if I can make a very

1552
01:46:31,640 --> 01:46:35,480
Speaker 1: serious point here. They believe that their own personal mentality

1553
01:46:36,040 --> 01:46:39,360
Speaker 1: robin Hood, robbing from the rich, stealing giving to the poor,

1554
01:46:39,880 --> 01:46:44,479
Speaker 1: the whole Robinhood thing. It was ill gotten riches. He

1555
01:46:44,920 --> 01:46:49,000
Speaker 1: was robbing Prince John and the Sheriff of Nottingham. It

1556
01:46:49,280 --> 01:46:54,360
Speaker 1: wasn't the hard working farmers and grossers who are putting

1557
01:46:54,439 --> 01:46:56,479
Speaker 1: food on other people's plates. All right, all right, I'm

1558
01:46:56,479 --> 01:47:00,160
Speaker 1: gonna stop with the stuff with the anger, because we're

1559
01:47:00,160 --> 01:47:02,759
Speaker 1: not supposed to focus on the silly or the series.

1560
01:47:02,800 --> 01:47:04,960
Speaker 1: We're supposed to focus on the silly, the stories that

1561
01:47:05,040 --> 01:47:11,439
Speaker 1: make us, say Bazza howmasa talbazar caack on Christmas without

1562
01:47:11,439 --> 01:47:16,600
Speaker 1: one of these stories. A giant decoration is causing some

1563
01:47:16,800 --> 01:47:22,439
Speaker 1: problems in a neighborhood in Severance, Colorado. Dora Flores said

1564
01:47:22,479 --> 01:47:24,920
Speaker 1: her family put up a giant, inflatable Santa in their

1565
01:47:24,960 --> 01:47:28,240
Speaker 1: backyard as a way to celebrate this season. It could

1566
01:47:28,240 --> 01:47:31,439
Speaker 1: be seen by drivers on nearby Harmony Road. Flora said,

1567
01:47:31,479 --> 01:47:33,160
Speaker 1: we love him, We absolutely love him. He brings a

1568
01:47:33,200 --> 01:47:35,559
Speaker 1: lot of happiness to our house into the community as well.

1569
01:47:35,920 --> 01:47:39,080
Speaker 1: But her family was sent a letter from from and

1570
01:47:39,360 --> 01:47:42,080
Speaker 1: Company that said, in part, the Santa Claus located in

1571
01:47:42,160 --> 01:47:45,960
Speaker 1: your backyard is excessive in height and not permitted. Please

1572
01:47:46,160 --> 01:47:50,720
Speaker 1: remove immediately. Flores said, we received a letter saying that

1573
01:47:50,840 --> 01:47:52,600
Speaker 1: he had to be brought down because we were not

1574
01:47:52,760 --> 01:47:57,080
Speaker 1: compliant with the standards of the homeowners' association. How tall

1575
01:47:57,280 --> 01:48:03,519
Speaker 1: is this Santa? Twenty eight feet tall? Twenty eight feet

1576
01:48:03,600 --> 01:48:07,200
Speaker 1: It's an inflatable Santa that is twenty eight feet tall.

1577
01:48:07,280 --> 01:48:09,360
Speaker 1: I'm looking at a picture of this thing right now.

1578
01:48:09,520 --> 01:48:12,720
Speaker 1: It dwarfs the house. You can't just see it from

1579
01:48:12,840 --> 01:48:17,640
Speaker 1: Harmony Road. You can probably see it from Denver. The

1580
01:48:17,760 --> 01:48:19,760
Speaker 1: family took the Sata down for a while but then

1581
01:48:19,800 --> 01:48:22,839
Speaker 1: the community got involved. They created a social media campaign

1582
01:48:22,880 --> 01:48:28,240
Speaker 1: and reached out to community officials trying to save Santa. Tuesday,

1583
01:48:28,720 --> 01:48:31,519
Speaker 1: Flores said she received news this morning. I did receive

1584
01:48:31,560 --> 01:48:35,040
Speaker 1: a call from the upper management of our HOA apologizing

1585
01:48:35,439 --> 01:48:37,760
Speaker 1: letting us know we can keep Santa, and letting us

1586
01:48:37,800 --> 01:48:41,879
Speaker 1: know it was a mistake on their behalf. Neighbors gathered

1587
01:48:41,960 --> 01:48:49,839
Speaker 1: together with her to sell it. Palbazon Palazam Pabazon. Producer

1588
01:48:50,000 --> 01:48:55,960
Speaker 1: Arman tells me Wayfair sells a forty foot tall, inflatable Santa. Ah, brother,

1589
01:48:56,080 --> 01:48:58,160
Speaker 1: We're totally buying that and putting it out in front

1590
01:48:58,160 --> 01:49:05,519
Speaker 1: of the radio station next well. All around the country,

1591
01:49:06,479 --> 01:49:12,040
Speaker 1: people travel to see loved ones this Christmas season. The

1592
01:49:13,200 --> 01:49:17,679
Speaker 1: unexpected obsession. One unexpected obsession, I should say this, according

1593
01:49:17,720 --> 01:49:21,519
Speaker 1: to Fox News, is driving home the less is more adage.

1594
01:49:21,600 --> 01:49:27,880
Speaker 1: It's also dividing people, stripped of decoration and free of clutter.

1595
01:49:28,520 --> 01:49:33,000
Speaker 1: The minimalist Christmas tree has become a hot trend on

1596
01:49:33,200 --> 01:49:37,760
Speaker 1: social media feeds, where bare trees lit by nothing but

1597
01:49:38,080 --> 01:49:41,280
Speaker 1: soft white lights or in some cases nothing at all.

1598
01:49:41,840 --> 01:49:44,599
Speaker 1: It is just a tree in the middle of your

1599
01:49:44,640 --> 01:49:49,040
Speaker 1: living room. Celebrities including Julianne Moore, Michelle Pfeiffer, Victoria Beckham,

1600
01:49:49,040 --> 01:49:52,920
Speaker 1: and Chloe Kardashian have embraced the look, swapping ornaments and

1601
01:49:53,080 --> 01:49:57,599
Speaker 1: tinsel for clean lines and quiet glows. And as much

1602
01:49:57,640 --> 01:49:59,760
Speaker 1: as some people love it, not everyone is a fan.

1603
01:50:00,160 --> 01:50:03,760
Speaker 1: Online user declare you just don't have taste. Ornaments are

1604
01:50:03,800 --> 01:50:08,479
Speaker 1: a must, rejecting the bare tree mentality. Designers call it

1605
01:50:08,600 --> 01:50:14,080
Speaker 1: the no ornament or nearly naked tree, proof that minimalism

1606
01:50:14,640 --> 01:50:19,479
Speaker 1: has finally reached the holidays. One user said it's illigant,

1607
01:50:19,600 --> 01:50:22,560
Speaker 1: it's elegant, I should say, and no mess. Embrace the

1608
01:50:22,640 --> 01:50:28,559
Speaker 1: simplicity as a calmer, cleaner take on the holidays. Others

1609
01:50:28,640 --> 01:50:33,760
Speaker 1: think it looks unfinished, even joyless. Some families have chosen

1610
01:50:33,800 --> 01:50:36,040
Speaker 1: the middle ground, placing one minimalist tree in the living

1611
01:50:36,080 --> 01:50:39,479
Speaker 1: room for style and then a second upstairs for the

1612
01:50:39,640 --> 01:50:46,559
Speaker 1: kids to decorate. Okay, you have clearly got the most

1613
01:50:46,880 --> 01:50:51,080
Speaker 1: type a anal retentive mom in the world. If she's

1614
01:50:51,160 --> 01:50:54,520
Speaker 1: forcing you to put the tree that you decorate upstairs

1615
01:50:54,600 --> 01:50:57,960
Speaker 1: in the kid's room and forcing the family to stare

1616
01:50:58,000 --> 01:51:02,240
Speaker 1: at a minimalist Christmas, I'm gonna put my foot down

1617
01:51:02,320 --> 01:51:05,040
Speaker 1: on this one. If you've got a minimalist Christmas tree.

1618
01:51:06,800 --> 01:51:10,479
Speaker 1: You are not celebrating Christmas at all. This is very

1619
01:51:10,600 --> 01:51:13,599
Speaker 1: grinch like behavior, all right. That is the stranger stories

1620
01:51:13,600 --> 01:51:16,360
Speaker 1: in the past seven days. Here on the Dan O'donnald Show.

1621
01:51:16,360 --> 01:51:28,080
Speaker 1: It's a weekly segment we Callbazon Holmaza Talabizon Huge Packers

1622
01:51:28,160 --> 01:51:33,920
Speaker 1: game tomorrow night. This one is not definitely going to

1623
01:51:34,040 --> 01:51:37,000
Speaker 1: decide who wins the NFC North Division, but it is

1624
01:51:37,600 --> 01:51:41,479
Speaker 1: going to go a long way. Soldier Field Packers Bears.

1625
01:51:41,720 --> 01:51:44,960
Speaker 1: The rematch from two weeks ago, that game was pretty

1626
01:51:45,040 --> 01:51:48,640
Speaker 1: much dead even the Packers went on to lose to

1627
01:51:48,840 --> 01:51:52,599
Speaker 1: Denver and of course lose much more than that, Michael

1628
01:51:52,680 --> 01:51:55,960
Speaker 1: Parsons going down to a torn acl in that loss

1629
01:51:56,000 --> 01:51:59,479
Speaker 1: to the Broncos, while the Bears whooped up shut out

1630
01:52:00,200 --> 01:52:05,360
Speaker 1: the Cleveland Browns and now in the rare Saturday night matchup.

1631
01:52:06,040 --> 01:52:09,160
Speaker 1: They do this as soon as college football games are

1632
01:52:09,360 --> 01:52:12,280
Speaker 1: done on Saturday nights, at least until the college football

1633
01:52:12,360 --> 01:52:16,640
Speaker 1: playoff starts, and they will be Is there only are

1634
01:52:16,680 --> 01:52:20,320
Speaker 1: there two games tomorrow? Aret, Yeah, one will start at

1635
01:52:20,400 --> 01:52:23,200
Speaker 1: like three point thirty. The other, the Packers game, starts

1636
01:52:23,240 --> 01:52:27,120
Speaker 1: at seven twenty tomorrow. It's really interesting about this game

1637
01:52:27,920 --> 01:52:33,679
Speaker 1: is that the point spread shifted by about three points

1638
01:52:33,760 --> 01:52:36,200
Speaker 1: in the span of a day. The Packers were favored

1639
01:52:36,240 --> 01:52:39,560
Speaker 1: by a point and a half up until at some

1640
01:52:39,840 --> 01:52:44,200
Speaker 1: point yesterday when all of the lines moved to the Bears,

1641
01:52:44,920 --> 01:52:47,080
Speaker 1: who are now favored by a point and a half.

1642
01:52:47,439 --> 01:52:51,880
Speaker 1: I myself can't figure that one out. It certainly can't

1643
01:52:51,920 --> 01:52:55,400
Speaker 1: be reaction to Micah Parsons not being able to suit

1644
01:52:55,520 --> 01:52:59,760
Speaker 1: up because we knew that. I mean, I knew that

1645
01:53:00,160 --> 01:53:04,559
Speaker 1: someone who has had a bad knee for a long

1646
01:53:04,680 --> 01:53:08,320
Speaker 1: time and just managed to reinjure it again. Playing old

1647
01:53:08,439 --> 01:53:12,400
Speaker 1: man soccer last night, I could tell I'm like, boy,

1648
01:53:12,520 --> 01:53:15,599
Speaker 1: that looks like a torn acl that look that does

1649
01:53:15,840 --> 01:53:18,559
Speaker 1: not look good at all. I have no idea why

1650
01:53:18,600 --> 01:53:21,040
Speaker 1: the Bears are suddenly favored, unless a ton of money

1651
01:53:21,400 --> 01:53:26,320
Speaker 1: just came in on them. People are also betting a

1652
01:53:26,360 --> 01:53:31,000
Speaker 1: ton of money on Jake Paul to defeat Anthony Joshua

1653
01:53:31,240 --> 01:53:34,960
Speaker 1: in a boxing match tonight, which might be the dumbest

1654
01:53:35,000 --> 01:53:37,760
Speaker 1: bed of all time. If you don't know that Jake

1655
01:53:38,000 --> 01:53:43,040
Speaker 1: Paul's fights are usually rigged by now, I don't know

1656
01:53:43,120 --> 01:53:45,519
Speaker 1: what to tell you. In fact, in the Mike Tyson fight,

1657
01:53:46,000 --> 01:53:48,679
Speaker 1: he fought fifty eight to fifty nine year old Mike

1658
01:53:48,800 --> 01:53:52,960
Speaker 1: Tyson year ago. You can actually see there is video

1659
01:53:53,080 --> 01:53:55,880
Speaker 1: of Tyson pulling a punch that was going to land

1660
01:53:56,080 --> 01:54:01,840
Speaker 1: squarely in Jake Paul's unprotected head. But he pulled it

1661
01:54:02,320 --> 01:54:07,120
Speaker 1: because there's a clause in the contract that likely says

1662
01:54:07,400 --> 01:54:11,320
Speaker 1: do not embarrass Jake Paul. Let's all laugh all the

1663
01:54:11,360 --> 01:54:13,920
Speaker 1: way to the bank. That fight is on Netflix tonight. No,

1664
01:54:14,080 --> 01:54:16,360
Speaker 1: I likely will not be watching, but I will be,

1665
01:54:17,000 --> 01:54:20,080
Speaker 1: of course watching the Bears get demolished by the Green

1666
01:54:20,120 --> 01:54:23,920
Speaker 1: Bay Packers. Let's go pack. We will be back on

1667
01:54:24,200 --> 01:54:27,200
Speaker 1: Monday with our special Ask Me Anything show. Talk to

1668
01:54:27,240 --> 01:54:27,559
Speaker 1: you then,