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Speaker 1: A major financial milestone. The Dow tops fifty thousand points,

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Speaker 1: closing at fifty thousand, one hundred and fifteen for the

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Speaker 1: very first time. So naturally, the American media is focused

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Speaker 1: on second and a half of a racist video. Welcome

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Speaker 1: to the Friday edition of The Dan o'donald Show. We

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Speaker 1: will of course cover monkey Gate. We will have our

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Speaker 1: fun Friday segments. How bizarre talk radio Roulette coming up

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Speaker 1: in the five o'clock hour. We named the unhinged Liberal

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Speaker 1: of the day. That could pretty much be any of them,

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Speaker 1: perpetrating and perpetuating what essentially amounts to a half true narrative.

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Speaker 1: And this is the perfect example to explain, ladies and gentlemen,

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Speaker 1: how it is that the media actually operates. You want

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Speaker 1: to join the Friday edition of The Dan o'donald Show.

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Speaker 1: Have that at four one, four seven, nine to nine

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Speaker 1: eleven thirty on ournos dot com, talk and text line, email,

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Speaker 1: tell medod at iHeartMedia dot com, at Dan o'donalds Show,

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Speaker 1: on x on Facebook, on Instagram, on our YouTube channel.

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Speaker 1: We are streaming everywhere, and a reminder to please subscribe

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

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Speaker 1: We are one of the top one hundred podcasts in

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Speaker 1: the world on iHeartRadio, and that is thanks to you.

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Speaker 1: It is the best way to say thank you to me,

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Speaker 1: and I can't tell you how much I appreciate it.

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Speaker 1: This is the way our boss is. More even than

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Speaker 1: radio ratings tell how we are doing as talk show hosts,

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Speaker 1: it's podcast subscribers. It's downloads of each individual podcast. So

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Speaker 1: subscribe like follow thumbs up heart the Dan O'donald's show

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Speaker 1: on iHeartRadio or wherever you get your podcasts, sign up

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Speaker 1: for those auto downloads. They're just delivered right to your

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Speaker 1: phone as soon as they go live at about six

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Speaker 1: fifteen each evening. Here are the top stories that we

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Speaker 1: are following this afternoon. As I said, the Dow Jones

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Speaker 1: Industrial average for the first time I ever, crossing fifty thousand.

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Speaker 1: It serves as proof President Trump is starting to turn

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Speaker 1: the economy around. So naturally the media is focused on

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Speaker 1: stupid stuff. We'll get into the stupid stuff, namely the

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Speaker 1: racist Obama video that really isn't coming up in just

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Speaker 1: a second. The Winter Olympic ceremony underway in Milan's San

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Speaker 1: Siro Stadium. The US as the largest delegation at two

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Speaker 1: hundred and thirty five athletes, and actually right now as

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Speaker 1: I speak, the United States delegation is walking out. Competition

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Speaker 1: is already underway. The US women's hockey team whopped up

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Speaker 1: on Chechia five to one, with Vice President JD. Vans

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Speaker 1: and Secretary of State Marco Rubio and attendance. The two

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Speaker 1: of them are also there at the opening ceremony. Meanwhile,

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Speaker 1: negotiations resuming today over Iran's nuclear program amid heightened tensions

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Speaker 1: and international monitoring concerns. Diplomats are describing the discussions as

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Speaker 1: critical to preventing further escalation in the Regionjurney General Pam

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Speaker 1: Bondi today announced the arrest of one of the masterminds

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Speaker 1: of the twenty twelve attack on the US embassy in Bengazi, Libya.

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Speaker 2: Bar Albakosh, landed at Andrews Air Force Base at three

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Speaker 2: a m.

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Speaker 1: This morning. He is in our custody.

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Speaker 2: He was greeted by Director Patel and US Attorney Janine Pierro.

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Speaker 1: Much more on that coming up in the Daily Trump

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Speaker 1: Day just after the four o'clock news. Right after the

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Speaker 1: Trump date, the Milwaukee Journal Sentinel finally notices that the

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Speaker 1: single biggest donor to the Democratic Party of Wisconsin is

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Speaker 1: all over the Epstein files, and I mean all over.

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Speaker 1: Reed Hoffman went to Epstein Island, He went to Epstein's

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Speaker 1: ranch in New Mexico, even emailed him about girls. Will

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Speaker 1: the Dems return their dirty Epstein money? Don't bet on it.

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Speaker 1: Major conflicts of interest in the Milwaukee City Attorney's office

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Speaker 1: could be the reason City Attorney Evan Goik is refusing

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Speaker 1: to defend police officers in lawsuits against It's the city.

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Speaker 1: Is it because he's funneling money to a campaign donor

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Speaker 1: in the family of a political ally and friend. It

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Speaker 1: sure seems like it. That story coming up at three

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Speaker 1: twenty five right now.

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Speaker 3: Though.

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Speaker 1: The cold hard cash contest word this hour is dollar,

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Speaker 1: dllaar dollar. You have got until five to the top

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Speaker 1: of the hour, that's three fifty five to go to

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Speaker 1: our website and enter the keyword dollar. If your entry

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Speaker 1: is picked at random, you will win a thousand of

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Speaker 1: those dollars instantly. Big rebound on the stock market, the

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Speaker 1: Dow closing at fifty thousand, one hundred and fifteen. This is,

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Speaker 1: of course, the first time the Dow has crossed fifty thousand,

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Speaker 1: the first time the Dow has ever closed above fifty thousand,

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Speaker 1: and after a huge selloff sparked primarily by a tech selloff,

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Speaker 1: and that was I think precipitated by a big drop

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Speaker 1: in Bitcoin amid concerns about just how the cryptocurrency can fall. Yes,

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Speaker 1: bitcoin has had significant pullbacks for some reason, this one

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Speaker 1: just feels different as for the first time, even crypto bros,

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Speaker 1: even people who have bet their entire financial future and

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Speaker 1: admittedly made a fortune, are concerned about the long term

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Speaker 1: future and stability not just a Bitcoin itself, but of

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Speaker 1: the entire cryptocurrency market. Crypto has absolutely wiped out today,

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Speaker 1: though a huge rebound on the stock market. So naturally,

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Speaker 1: if there is good news that tends to reflect on

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Speaker 1: actual policy coming out of the White House, you can

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Speaker 1: believe that the traditional mainstream media is going to focus

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Speaker 1: on something anything else that has the tendency of casting

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Speaker 1: aspersions on President Trump. Now, the narrative that the left

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Speaker 1: has always tried to go on, the sort of overarching

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Speaker 1: narrative with respect to President Trump, is that he's hitler,

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Speaker 1: that he is anti democratic, that he is fueling a

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Speaker 1: war on democracy, which is sort of rich coming from

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Speaker 1: the people who literally rigged their last three presidential nominating

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Speaker 1: conventions and presidential primaries twenty twenty four, twenty twenty, and

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Speaker 1: twenty sixteen. They're the ones who are very, very concerned

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Speaker 1: about the end of democracy. You see, they're also very

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Speaker 1: concerned about voter ID and any measure of election security.

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Speaker 1: And in a video posted to truth Social last night,

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Speaker 1: President Trump posted a video about security concerns in the

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Speaker 1: twenty twenty presidential election. At about the fifty five second

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Speaker 1: mark of the video, it suddenly switches to an AI

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Speaker 1: or what appears to be an AI animation of Michelle

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Speaker 1: and Barack Obama as monkeys. The song what is it

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Speaker 1: The Lion Sleeps Tonight? A weemway we may Yeah, the

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Speaker 1: Lion Sleeps Tonight by the Tokens plays in the background.

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Speaker 1: It is part of a different video, an entirely different video,

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Speaker 1: showing President Trump as the king of the jungle and

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Speaker 1: Democrats as other animals bowing before him. Now, I don't

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Speaker 1: think I need to explain to you that depicting a

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Speaker 1: black couple, especially probably the most famous black couple in

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Speaker 1: America this side of jay Z and Beyonce as Simeons,

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Speaker 1: is racist in the extreme. Here's the thing. Trump didn't

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Speaker 1: post it. In fact, it is very clear he didn't

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Speaker 1: intend to post it. What he posted was a video

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Speaker 1: on a completely different topic, i e. How voting machines

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Speaker 1: might have changed counts in twenty twenty, and God helped me.

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Speaker 1: He's still on this as the guy who actually did

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Speaker 1: find actual voter fraud in Wisconsin. It still blows my

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Speaker 1: mind that people think there was this wide ranging conspiracy

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Speaker 1: with dominion and smartmatic voting machines. But that was the

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Speaker 1: video that President Trump shared in the last couple of seconds.

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Speaker 1: What happened was whomever it was that took this video

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Speaker 1: didn't actually download it from its source, say where it

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Speaker 1: was posted on x or Facebook or TikTok or wherever.

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Speaker 1: They simply took a screen capture. You could actually hit

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Speaker 1: a series of commands on your computer and simply record

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Speaker 1: whatever video happens to be playing. I know this because

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Speaker 1: I do this quite a bit for auto roll videos

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Speaker 1: or embedded videos that you simply cannot download. Sometimes I

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Speaker 1: need to be able to download those in order to

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Speaker 1: use them as clips on this radio show. If you've

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Speaker 1: been on TikTok or Facebook reels or Instagram reels or

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Speaker 1: x what happens as soon as a video ends, the

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Speaker 1: next one plays, right, That's literally what happened here, the

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Speaker 1: next video. And are those videos that play after your

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Speaker 1: video is done? And they play instantly because the name

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Speaker 1: of the game on social media, especially when it comes

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Speaker 1: to social media video, is to get you consuming that

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Speaker 1: site's content for as long as possible. This is why

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Speaker 1: every single video service auto plays the next video, because

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Speaker 1: they want you on their site longer. That's what happened here.

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Speaker 1: Take a listen to the video. Now, what you are

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Speaker 1: being presented with is completely out of context. What the

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Speaker 1: media is making it seem is that Trump intentionally played

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Speaker 1: the entire video of Bara Taka Michelle Obama as monkeys.

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Speaker 1: And I think rather hilariously the shall we say rotund JB.

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Speaker 1: Pritzker is an elephant. I think Biden is a different

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Speaker 1: type of monkey. I mean, you've got all it's basically

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Speaker 1: every Democrat and it's sort of like the lion king, right,

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Speaker 1: It's like Trump is the like it. He didn't share

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Speaker 1: that video. He shared a twenty twenty election conspiracy video,

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Speaker 1: which is sort of bad enough. But then I want

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Speaker 1: you to listen. This is the full context of the

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Speaker 1: video that was shared that is not being presented anywhere

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Speaker 1: in the rest of the media. By design geane that

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Speaker 1: counts of votes.

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Speaker 4: A Talent four G wireless chip manufactured in Taiwan was

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Speaker 4: discovered embedded into the motherboard the voting machine. Takes clearly

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Speaker 4: indicate modem engagement and transmission of election data. Some of

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Speaker 4: the anomalies that we notice in the twenty twenty general elections.

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Speaker 1: That five key states all stop counting at a certain time.

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Speaker 1: In these key battleground.

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Speaker 4: States, these were all where the software Domini machines ESNs

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Speaker 4: machines were used, the smartmatic the gym's software. So when

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Speaker 4: the vote stopped counting, and this has been noted in

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Speaker 4: other countries as well, President Trump was significantly ahead. When

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Speaker 4: reporting and counting resumed, there was a massive spike occurred

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Speaker 4: that that favored Joe Biden.

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Speaker 1: Gee, now, why after fifty some seconds of this guy

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Speaker 1: with very dramatic music behind him talking about the twenty

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Speaker 1: twenty election, would the video suddenly change and you hear

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Speaker 1: the opening strands of the Lion sleep tonight. It's because

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Speaker 1: the next video was playing, and this was simply a

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Speaker 1: screen grap whoever posted the truth social post, and I

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Speaker 1: think Trump usually posts his own truth social so I'm

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Speaker 1: just going to take a while guess that it was.

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Speaker 1: Trump clearly did not realize that at the very end

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Speaker 1: of the video, there's the start of the next video.

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Speaker 1: But you wouldn't know that the way this is being

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Speaker 1: covered CNN dot com. President Donald Trump shared a racist

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Speaker 1: video on his social media platform Thursday night that depicted

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Speaker 1: former President Barack Obama and former First Lady Michelle Obama

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Speaker 1: as apes in a jungle, then removed it hours later

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Speaker 1: amid bipartisan outrage, including from a close ally. Just before noon,

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Speaker 1: the White House blamed a staffer for the video posted

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Speaker 1: to Trump's truth Social account and said the post had

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Speaker 1: been removed. The statement came after serious backlash, including from

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Speaker 1: Senate GOP Senator Tim Scott, the only black Republican in

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Speaker 1: the Senate, who called the post racist and said Trump

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Speaker 1: should remove it. The White House had earlier defended the

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Speaker 1: post and downplayed the response to the video, calling it

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Speaker 1: fake outrage, but just before noon, an official told CNN

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Speaker 1: a White House staffer erroneously made the post. It has

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Speaker 1: been taken down. By that time, the video had been

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Speaker 1: up for nearly twelve hours, a GOP Senate official said

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Speaker 1: Republican lawmakers had called Trump to discuss the post with him.

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Speaker 1: At any point, is it ever mentioned what actually happened.

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Speaker 1: There's an oblique reference to it in about paragraph thirteen

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Speaker 1: if you scroll down far enough. But that is sort

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Speaker 1: of the tone and tenor of the coverage. And this

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Speaker 1: is exactly how the media operates. In fact, this is

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Speaker 1: a perfect litmus test for how you are dependent upon

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Speaker 1: completely dishonest brokers for your consumption of quote unquote reality.

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Speaker 1: How you consume the world around you is completely dependent

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Speaker 1: upon people pulling the wool over your eyes and presenting

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Speaker 1: without any proper context. What it is that they want

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Speaker 1: you to see. Once again, here is the video.

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Speaker 4: It was a massive spike occurred that that favored Joe Biden.

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Speaker 1: Gee, you don't even need to see what happened. You

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Speaker 1: could simply hear, okay, the one video ends and then

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Speaker 1: the he starts up, indicating that the next video had started.

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Speaker 1: You do not get that context. In fact, you will

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Speaker 1: not see anywhere on social media this afternoon, anywhere all

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Speaker 1: day long. You were not allowed to see the full

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Speaker 1: video because the full video makes people tend to say, Oh, okay,

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Speaker 1: it was clearly an auto roll video. The next video

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Speaker 1: was the racist one and had nothing to do with

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Speaker 1: the first one. The President was clearly sharing he's on

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Speaker 1: a kick. I don't know if you know this. He

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Speaker 1: deputized Tulsi Gabbard, the Director of National Intelligence, to look

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Speaker 1: into the t twenty twenty presidential election. They seized a

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Speaker 1: bunch of material voting machines down in Fulton County in Georgia.

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Speaker 1: This is clearly the video he was showing. Does it

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Speaker 1: have anything to do with the rest of the video

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Speaker 1: forty five to fifty seconds of context? Does it have

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Speaker 1: anything to do with racism? Does it have anything to

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Speaker 1: do with Barack and Michelle Obama? No, it clearly has

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Speaker 1: everything to do with the twenty twenty presidential election. But

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Speaker 1: because our boomer president and I love you Boomers, but

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Speaker 1: let's face it, you're not totally the best at technology,

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Speaker 1: are you, I think you will concede that fact had

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Speaker 1: a screen captured video that accidentally included the auto role.

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Speaker 1: This has actually happened to me before. I usually try to,

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Speaker 1: especially when I am screen capturing video, because you know,

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Speaker 1: I want to post something, I want to draw attention

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Speaker 1: to something. I want to clip something for use on

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Speaker 1: this radio show. I always make sure because I know

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Speaker 1: usually the next ad or the next video that plays

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Speaker 1: is an AD. But I know that something is rather

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Speaker 1: obviously going to play afterwards. That's rather obviously what happened here.

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Speaker 1: Was there any intent to share something racist?

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Speaker 5: No?

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Speaker 1: But is the media and are Democrats going to make

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Speaker 1: you think there is? You better believe it. And that's

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Speaker 1: the strategy. We'll get into that coming up next. Advanced

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Speaker 1: nuclear talks in Iran about potentially bringing Tehran into the

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Speaker 1: fold with a detent as it pertains to Israel and

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Speaker 1: Middle East peace. The Olympics going on. The Dow hits

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Speaker 1: fifty thousand for the very first time major rally on

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Speaker 1: Wall Street. So of course the media now that Minneapolis

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Speaker 1: is dying out and they can no longer call ice

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Speaker 1: agents not saying they have got their preferred narrative again.

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Speaker 1: Donald Trump is a racist. He shared a video on

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Speaker 1: his truth social account depicting Barack and Michelle Obama as apes.

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Speaker 1: What if I told you that narrative is completely wrong?

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Speaker 1: You wouldn't be particularly surprised, would you? Yes? The first second,

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Speaker 1: probably half second of a video showing Barack and Michelle

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Speaker 1: Obama as apes did appear on the President's Truth social

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Speaker 1: it was because the President, or more likely someone who

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Speaker 1: originally posted the video actually screen captured it, and the

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Speaker 1: next video that played after a completely unrelated video, the

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Speaker 1: one that President Trump actually shared about irregularities in the

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Speaker 1: twenty twenty presidential election, especially in the swing states, including Wisconsin,

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Speaker 1: after counts were stopped almost at identical times. I still

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Speaker 1: have not gotten a good answer as to why we

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Speaker 1: needed to just randomly stop the count in the middle

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Speaker 1: of the night. We used to just sort of count

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Speaker 1: the votes until all the votes were counted. We didn't

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Speaker 1: just knock off at two am and then start up

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Speaker 1: again at like five am. But alas, that's apparently what

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Speaker 1: we do now. So the President shared that video, and

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Speaker 1: after about fifty to fifty five seconds of what appears

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Speaker 1: to be a one minute video because it was a

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Speaker 1: screen capture, the next video in the queue for whatever

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Speaker 1: social media site that this was shared from started playing,

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Speaker 1: and it happened to be a video in which it

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Speaker 1: was sort of a parody of The Lion King appears

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Speaker 1: to be made with AI and the song The Lion

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Speaker 1: Sleeps Tonight. All of the Democrats are depicted as jungle animals,

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Speaker 1: and they're all lining up with Trump as the lion king,

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Speaker 1: and the first two that they show ar Barack and

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Speaker 1: Michelle as apes. Now, am I going to dispute that

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Speaker 1: depicting black people as apes is racist? No, of course not.

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Speaker 1: It's incredibly racist. Was it intended to be shared by

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Speaker 1: the White House rather? Obviously not. I would love any

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Speaker 1: liberal to refute this ten second piece of audience.

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Speaker 4: It was a massive spike occurred that favored Joe Biden.

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Speaker 1: Gee, is there any indication you can hear when the

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Speaker 1: next video starts? It just sort of auto rolls, And

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Speaker 1: actually it sounds like because it goes back to the

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Speaker 1: original video for another millisecond, it actually sounds like it's

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Speaker 1: one of those sites where it'll cut off the last

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Speaker 1: second or two of the first video to then play

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Speaker 1: the next video in the queue or an advertisement. This

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Speaker 1: is like anybody who has ever watched online videos, which

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Speaker 1: is everybody in this country understands this. The media, though,

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Speaker 1: is leaving out that context and pretending that the video

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Speaker 1: that President Trump played is the racist Obama ape one.

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Speaker 1: This is why you are not seeing the video. The

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Speaker 1: actual video that President Trump's truth social account shared you

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Speaker 1: are only seeing the screen cap of Barack and Michelle

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Speaker 1: Obama as monkeys. There's a reason for that. It's because

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Speaker 1: this is a deliberate attempt to try to get the

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Speaker 1: favored narrative without any actual evidence that that narrative is true.

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Speaker 1: The media has been trying to paint Trump as a

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Speaker 1: racist for ever. Kind of difficult to do when the

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Speaker 1: guy got the highest percentage of black and Latino voters

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Speaker 1: in the modern presidential era in twenty twenty four. But Alasa,

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Speaker 1: and this is sort of the point, ladies and gentlemen.

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Speaker 1: Because of Democrat hysterics over Ice, especially in Minneapolis, the

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Speaker 1: president has been in pre twenty twenty six polling doing very,

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Speaker 1: very poorly with those crossover voters. In fact, it becomes

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Speaker 1: clearer and clearer. I think each passing day that the

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Speaker 1: president was the beneficiary of Joe Biden and Kamala Harris

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Speaker 1: just being remarkably terrible. It wasn't that all of a

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Speaker 1: sudden he got this new generation of Republican voters, as

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Speaker 1: I think a lot of conservatives were too quick to

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Speaker 1: glom onto. It was the fact that Joe Biden was

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Speaker 1: so historically awful, and Kamala Harris was so historically disliked,

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Speaker 1: and as the vice president for the previous four years,

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Speaker 1: under unprecedented inflation, stagflation, just a disaster, and the importation

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Speaker 1: of ten to fifteen million illegals in a very short

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Speaker 1: amount of time, it was rather obvious that there was

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Speaker 1: no one from the administration who was going to win.

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Speaker 1: Now you've got the narrative that the left wants, and

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Speaker 1: this is so perfect, This is so absolutely perfect because

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Speaker 1: it requires no thought. This issue requires just a gut reaction.

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Speaker 1: You don't actually and in fact, are encouraged not to

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Speaker 1: look too deeply into it. You need to have no

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Speaker 1: baseline knowledge about politics, the constitution, the laws of this country.

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Speaker 1: You can merely say, yeah, yeah. Posting a video showing

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Speaker 1: Barack and Michelle Obama as apes is racist, and I

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Speaker 1: don't like racists, I don't like Trump. That's the idea.

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Speaker 1: It distills this without any context, down to the lowest

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Speaker 1: common denominator, so it can be blasted out and Moss,

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Speaker 1: make no mistake, this was a mistake by whoever it

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Speaker 1: was that posted that video, Trump or whomever. My guess

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Speaker 1: is it was actually Trump. Because it allows for this narrative.

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Speaker 1: It wasn't an intentional effort to post the Baraccan Michelle

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Speaker 1: Obama as apes meme, but it did happen. The misstep

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Speaker 1: is giving Democrats something that will rile up the lowest

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Speaker 1: of their low IQ base to react to things on

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Speaker 1: social media and promote this idea knowing that it is

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Speaker 1: fully false. Hey, speaking of those Democrat voters, it is

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Speaker 1: our old friend Bill in ocuttom walk. Bill, you are

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Speaker 1: up first on the Dan o'donald's show. You just had

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Speaker 1: to jump in with the Trump is a racist post.

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Speaker 1: Take it away, Bill, I want to hear the left

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Speaker 1: wing point of view on this one.

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Speaker 6: Well, good afternoon, good Friday to Dan. I do want

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Speaker 6: to announce something is going to be happening. I am

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Speaker 6: now a Republican looking for true Republicans like the ones

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Speaker 6: that ran January sixth to get another Republican president in office.

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Speaker 6: But in reference to what you just talked about, how

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Speaker 6: many excuses are you going to make for the unexcusable?

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Speaker 6: I can expand if you like real quick. What was

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Speaker 6: the name Pocahontas? About?

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Speaker 7: What was the name.

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Speaker 6: Camp on Kim? About?

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Speaker 5: What was your name?

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Speaker 3: I could go on sure.

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Speaker 1: Pocahontas was about the fact that Elizabeth Warren rather obviously

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Speaker 1: lied about having Native American and ancestry in order to

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Speaker 1: advance her academic and then political career. She even appeared

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Speaker 1: in a cookbook called You'll, I think agree rather tasteless

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Speaker 1: powlow Chow, an old family Native American recipe. It turned

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Speaker 1: out that she was not actually Native American. She had

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Speaker 1: something like zero point zero zero zero seven percent Trump actually,

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Speaker 1: and I have not forgiven Trump for this nickname. You

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Speaker 1: want to know because it's not actually Pocahontas. The nickname

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Speaker 1: is faux cohuntas as in faux cohntas like fake Native American,

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Speaker 1: which she was tampon. Tim. I don't know where that

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Speaker 1: one came from because rather obviously that has nothing to

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Speaker 1: do with his race. But here's the thing I want

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Speaker 1: you to listen to. Bill. I want you to listen

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Speaker 1: to the actual video that was posted. And you tell

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Speaker 1: me I want in your own words, why do you

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Speaker 1: think the subject matter suddenly shifts from twenty twenty presidential

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Speaker 1: election talk to a weem Away, A weem away the

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Speaker 1: Lion sleeps tonight.

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Speaker 4: There's a massive spike. O heard that that favored Joe Biden.

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Speaker 1: Gee, why do you think that that? Randy? You heard

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Speaker 1: that cut in there? Right? Like you heard? Hey, the

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Speaker 1: video sort of stopped and then it picks up again

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Speaker 1: with Barack and Michelle Obama as cartoon apes. Why do

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Speaker 1: you think that happened?

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Speaker 6: I'll give you the answer. You're taking something so ridiculous.

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Speaker 1: No, no, no, no no, why do no? No, no, I

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Speaker 1: don't want to hear. I don't want to hear why

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Speaker 1: it's I don't want to hear. Why it's ridiculous? Why

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Speaker 1: do you think? Why do you think there was that

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Speaker 1: cut up?

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Speaker 6: Again? Dan? Now listen to me. It's an illusion, Dan, illusion.

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Speaker 6: Do you ever know what illusion means?

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Speaker 1: I mean, rather obviously I know what illusion means. I

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Speaker 1: want you to answer, what exactly do you think? What

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Speaker 1: is the illusion? What do you think the illusion is

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Speaker 1: that I'm falling for that? The video suddenly cuts out

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Speaker 1: and then opens up again with what appears to be

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Speaker 1: the start of a completely unrelated video.

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Speaker 6: When did your president Donald Trump?

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Speaker 1: No, no, no, that's not what I asked. That's that's not

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Speaker 1: that's not what I asked. I'm asking you, Bill, Dan, Bill,

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Speaker 1: we got to slow down a second you need to

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Speaker 1: answer why you think one video about the twenty twenty

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Speaker 1: the election stopped and another started.

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Speaker 6: Lawrence, Well, just keep playing the music. I'm gonna leave

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Speaker 6: you with a thought. Anybody who thinks this president well

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Speaker 6: wait wait.

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Speaker 1: Wait, hold on, hold on, hold on a second. We

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Speaker 1: went from cackling maniacally to Lawrence welk, where where where

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Speaker 1: are we right now? Bill?

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Speaker 6: Dad, wake up and smell the roses. Do you want

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Speaker 6: me to explain what I meant about Lawrence?

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Speaker 1: Well, no, I want you. I want you to explain

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Speaker 1: why it sounds like one video stopped and another one started.

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Speaker 6: Oh, because it sounds like yere I'm going to give

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Speaker 6: the Dan o'daunlanswer because it sounds like one video stopped

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Speaker 6: and another started.

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Speaker 1: That's it exactly, Bill, That was not very difficult. What

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Speaker 1: would be the other What would be the other explanation

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Speaker 1: for that video stopping and then a completely unrelated video starting.

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Speaker 1: Like you've seen those videos like the You know, it's

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Speaker 1: like a peaceful scene and you know you're driving along

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Speaker 1: and then all of a sudden, there's like a gary

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Speaker 1: face that jumps out. It's one of those jump screed

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Speaker 1: of it. It wasn't one of those. So it wasn't

434
00:28:05,520 --> 00:28:09,680
Speaker 1: like embedded in the first video. It's almost like that

435
00:28:09,800 --> 00:28:13,560
Speaker 1: first video ended and a second video start. You've watched

436
00:28:13,640 --> 00:28:17,800
Speaker 1: like Facebook reels, right, Bill, like you know on video,

437
00:28:18,000 --> 00:28:19,480
Speaker 1: you know, like YouTube or.

438
00:28:19,400 --> 00:28:23,439
Speaker 6: TikTok or heavily. I kind of I enjoy it, like

439
00:28:23,520 --> 00:28:27,600
Speaker 6: I enjoy your show. Your show is quite in here, so.

440
00:28:27,520 --> 00:28:32,440
Speaker 1: You watch them constantly. It's what I'm hearing, Bill.

441
00:28:33,800 --> 00:28:39,080
Speaker 7: It is the Free Stooges in action without Marry and Moss.

442
00:28:39,320 --> 00:28:42,560
Speaker 1: That's actually that's actually pretty good, Bill. Uh So you

443
00:28:42,640 --> 00:28:45,920
Speaker 1: know you have a passing awareness though, So if you're

444
00:28:45,920 --> 00:28:50,400
Speaker 1: like watching your old three Stooges videos, one will stop

445
00:28:50,680 --> 00:28:55,400
Speaker 1: and the other will automatically start. I suspect you don't

446
00:28:55,440 --> 00:29:01,120
Speaker 1: want to admit that that's what clearly happened here, because

447
00:29:01,120 --> 00:29:07,280
Speaker 1: that's what clearly happened here. Obviously, no intent to post this.

448
00:29:10,560 --> 00:29:14,560
Speaker 1: How many times? Be honest with yourself? Be honest with yourself?

449
00:29:15,640 --> 00:29:17,600
Speaker 1: How many times? And I know you folks have done it?

450
00:29:18,200 --> 00:29:21,520
Speaker 1: Have you posted something without watching the entire video? I

451
00:29:21,520 --> 00:29:23,560
Speaker 1: can actually prove that you do, because I post video

452
00:29:23,560 --> 00:29:27,920
Speaker 1: clips from this show and I will get retweets like

453
00:29:28,160 --> 00:29:30,240
Speaker 1: three or four seconds after I posted I love it,

454
00:29:30,280 --> 00:29:32,000
Speaker 1: don't get me wrong. I love that you folks do that.

455
00:29:32,040 --> 00:29:36,720
Speaker 1: But you clearly didn't watch the video. Maybe you knew

456
00:29:36,720 --> 00:29:38,280
Speaker 1: what I was talking about, you heard it on the

457
00:29:38,360 --> 00:29:41,800
Speaker 1: radio show, or the caption for the video is such

458
00:29:41,840 --> 00:29:43,600
Speaker 1: that you're like, yeah, yeah, yeah, I want to retweet

459
00:29:43,600 --> 00:29:49,400
Speaker 1: that you didn't watch the whole thing. Pretty obviously what

460
00:29:50,000 --> 00:29:53,400
Speaker 1: happened here, and you see I wanted to go to

461
00:29:53,440 --> 00:29:57,360
Speaker 1: Bill sometimes against my better judgment, but by god, he's

462
00:29:57,360 --> 00:30:00,000
Speaker 1: always entertaining. We do love Bill from o'conham walk here.

463
00:30:01,800 --> 00:30:07,640
Speaker 1: It's because this is exactly what Democrats are counting on. Bill.

464
00:30:07,760 --> 00:30:10,160
Speaker 1: I'm taking a while. I guess, deep down actually does

465
00:30:10,360 --> 00:30:15,479
Speaker 1: know exactly what happened, can't admit it, but want so

466
00:30:16,000 --> 00:30:19,840
Speaker 1: desperately for him to be proven right that Donald Trump

467
00:30:19,880 --> 00:30:22,560
Speaker 1: is a racist and this is finally it. Donald Trump,

468
00:30:22,680 --> 00:30:26,800
Speaker 1: on a random Thursday night just decided to let it

469
00:30:26,840 --> 00:30:32,680
Speaker 1: all out. After what fifty years in the public spotlight,

470
00:30:32,760 --> 00:30:39,240
Speaker 1: certainly forty ten as a major national political figure, what

471
00:30:39,680 --> 00:30:42,400
Speaker 1: five years now as President of the United States. Now

472
00:30:43,120 --> 00:30:46,440
Speaker 1: now he has decided to just drop all pretense and

473
00:30:46,640 --> 00:30:48,920
Speaker 1: share the racist Obama monkey video.

474
00:30:50,840 --> 00:30:52,040
Speaker 5: Or or.

475
00:30:53,880 --> 00:31:00,760
Speaker 1: If you can abandon your political priors. What you want

476
00:31:00,800 --> 00:31:05,640
Speaker 1: to be correct and admit that Ockham's razor almost certainly

477
00:31:05,680 --> 00:31:11,480
Speaker 1: applies here, Maybe we can have an honest discussion about

478
00:31:11,480 --> 00:31:14,560
Speaker 1: what it was that actually happened. We're going to get

479
00:31:14,560 --> 00:31:18,240
Speaker 1: onto things that actually matter. When the Dan O'donnald's show

480
00:31:18,240 --> 00:31:28,200
Speaker 1: returns in just a couple of minutes. Who in Milwaukee? Heck?

481
00:31:28,240 --> 00:31:32,480
Speaker 1: Who in Wisconsin is having the worst week ever? Sort

482
00:31:32,480 --> 00:31:35,480
Speaker 1: of like that old show on VH one, Best Week Ever?

483
00:31:36,640 --> 00:31:41,520
Speaker 1: I miss VH one even when the music channel. Yes,

484
00:31:41,560 --> 00:31:44,720
Speaker 1: I grew up in the MTV era, and yes, MTV

485
00:31:45,040 --> 00:31:49,120
Speaker 1: was much better when they played music videos. I get it.

486
00:31:49,800 --> 00:31:53,320
Speaker 1: MTV is basically, do you realize the only show they play.

487
00:31:54,000 --> 00:31:57,000
Speaker 1: I don't know how. I was so bored that I

488
00:31:57,040 --> 00:32:01,640
Speaker 1: was just going through the channel guide. I've got YouTube TV,

489
00:32:01,760 --> 00:32:04,800
Speaker 1: and you know it's sort of set up like well,

490
00:32:04,920 --> 00:32:07,800
Speaker 1: like DirecTV or cable or whatever you can actually you know,

491
00:32:07,840 --> 00:32:09,960
Speaker 1: it's got my favorite so it's got like Fox News,

492
00:32:10,000 --> 00:32:12,840
Speaker 1: and it's got you can actually call up like Packers

493
00:32:12,880 --> 00:32:15,760
Speaker 1: games and stuff like that. It's I cannot recommend YouTube

494
00:32:15,760 --> 00:32:20,120
Speaker 1: TV highly enough, I really can't. But it's also got

495
00:32:20,160 --> 00:32:24,000
Speaker 1: like all of the channels listed and I for whatever reason,

496
00:32:24,000 --> 00:32:26,800
Speaker 1: this is maybe three months ago, two three months ago,

497
00:32:27,120 --> 00:32:31,000
Speaker 1: it's going to MTV. The only thing that was playing

498
00:32:31,080 --> 00:32:40,320
Speaker 1: I counted for fifty eight consecutive hours was ridiculousness. It's

499
00:32:40,360 --> 00:32:44,400
Speaker 1: a clip show starring the skateboarder whose name is totally

500
00:32:44,520 --> 00:32:49,640
Speaker 1: escaping me now and Rob Rob dear Deck maybe whoever.

501
00:32:49,720 --> 00:32:54,160
Speaker 1: I don't even know. But best Week ever? Those are

502
00:32:54,160 --> 00:32:56,520
Speaker 1: some great shous you remember. I love the nineties, I

503
00:32:56,560 --> 00:32:59,480
Speaker 1: love the two thousands, I love the eighties. These are fun.

504
00:32:59,520 --> 00:33:03,480
Speaker 1: Those are fun the instead of VH one, how about

505
00:33:03,480 --> 00:33:07,720
Speaker 1: the DoD Worst week ever has got to be Milwaukee

506
00:33:07,760 --> 00:33:15,920
Speaker 1: County Executive David Crowley, who truly truly bombed his first

507
00:33:15,960 --> 00:33:20,000
Speaker 1: big test in his run for governor. Milwaukee County Board

508
00:33:20,080 --> 00:33:24,920
Speaker 1: has now approved a new health contract new health insurance

509
00:33:24,960 --> 00:33:29,760
Speaker 1: contract a month after the old one expired. Because Crowley's

510
00:33:29,800 --> 00:33:34,120
Speaker 1: office somehow let it lapse. He did not tell anybody

511
00:33:34,160 --> 00:33:37,280
Speaker 1: on the county board for nearly a month. It wasn't

512
00:33:37,400 --> 00:33:42,080
Speaker 1: until last Thursday that anybody in the county knew about this.

513
00:33:42,320 --> 00:33:46,400
Speaker 1: It wasn't until last Friday afternoon that the media was

514
00:33:46,440 --> 00:33:52,880
Speaker 1: made aware of this. And he still can't explain exactly

515
00:33:53,440 --> 00:33:59,400
Speaker 1: who was told and when. The Milwaukee County Board also

516
00:34:00,160 --> 00:34:04,400
Speaker 1: yesterday past one of the most insane ordinances I've seen,

517
00:34:04,440 --> 00:34:07,200
Speaker 1: and that's saying something from this board. They are going

518
00:34:07,280 --> 00:34:11,440
Speaker 1: to require all law enforcement agencies to get a permit

519
00:34:11,600 --> 00:34:14,480
Speaker 1: if they want to stage in a park, meaning get

520
00:34:14,520 --> 00:34:18,000
Speaker 1: ready for a large scale police operation. It's clearly aimed

521
00:34:18,000 --> 00:34:21,080
Speaker 1: at ICE, but it will have the practical effect of

522
00:34:21,600 --> 00:34:25,040
Speaker 1: not allowing any law enforcement agency, including the Milwaukee Police

523
00:34:25,040 --> 00:34:29,080
Speaker 1: Department or the Milwaukee County Sheriff's Department, to use the

524
00:34:29,160 --> 00:34:33,000
Speaker 1: park as a staging area if in fact, say a murderer,

525
00:34:33,200 --> 00:34:39,160
Speaker 1: legal or illegal, escapes into say the Woods. It's ridiculous

526
00:34:39,239 --> 00:34:43,839
Speaker 1: virtue signaling. Well, coming up this Sunday, Crowley is going

527
00:34:43,880 --> 00:34:47,279
Speaker 1: to be on upfront and the host, Matt Smith, put

528
00:34:47,320 --> 00:34:52,040
Speaker 1: out a preview of the interview and he asked Crowley

529
00:34:52,200 --> 00:34:57,800
Speaker 1: about ICE. I dare say, Crowley has absolutely no earthly

530
00:34:57,920 --> 00:35:03,680
Speaker 1: idea what cooperati with ICE means for local law enforcement.

531
00:35:03,840 --> 00:35:06,520
Speaker 1: Just listen to this ass Since twenty eighteen, Milwaukee County says, no,

532
00:35:06,800 --> 00:35:08,120
Speaker 1: we're not going to do that. We're not going to

533
00:35:08,120 --> 00:35:11,000
Speaker 1: assist ICE with detainers in the jail. Would you like

534
00:35:11,040 --> 00:35:11,960
Speaker 1: to see that change.

535
00:35:12,520 --> 00:35:15,560
Speaker 8: No, I think that the Sheriff's office have been operating

536
00:35:15,640 --> 00:35:18,919
Speaker 8: under their policy for many, many years, and not only

537
00:35:18,920 --> 00:35:21,479
Speaker 8: our shriff's office, But again, the expectation for our local

538
00:35:21,520 --> 00:35:25,680
Speaker 8: law enforcement should be to focus on protecting local communities

539
00:35:25,680 --> 00:35:28,640
Speaker 8: that they were employed to do. We didn't bring these

540
00:35:28,680 --> 00:35:32,400
Speaker 8: local law enforcement officers to become a federal agents, and

541
00:35:32,480 --> 00:35:34,880
Speaker 8: so it's just important that we focus on protecting our

542
00:35:34,920 --> 00:35:37,960
Speaker 8: communities because we've got things that that we're dealing with

543
00:35:38,000 --> 00:35:38,960
Speaker 8: on an everyday basic.

544
00:35:39,239 --> 00:35:45,520
Speaker 1: Okay, Wait, does he seriously think that merely allowing ICE

545
00:35:45,560 --> 00:35:49,400
Speaker 1: agents to pick up dangerous criminal illegal aliens from the

546
00:35:49,400 --> 00:35:54,600
Speaker 1: Milwaukee County jail would mean deputizing sheriff's deputies because those

547
00:35:54,640 --> 00:35:58,799
Speaker 1: are two completely separate things. There are consent agreements that

548
00:35:58,840 --> 00:36:02,400
Speaker 1: sheriff's departments can get into. Any law enforcement can actually

549
00:36:02,400 --> 00:36:07,080
Speaker 1: be deputized to enforce federal immigration law. The question was

550
00:36:07,360 --> 00:36:11,719
Speaker 1: very specifically, Hey, would you just allow ICE agents to

551
00:36:11,920 --> 00:36:16,440
Speaker 1: pick up dangerous rapists and murderers and free up space

552
00:36:16,480 --> 00:36:20,200
Speaker 1: in the jail so that ICE can deport the people

553
00:36:20,239 --> 00:36:23,600
Speaker 1: who you already have in your custody. Just in case

554
00:36:23,680 --> 00:36:28,080
Speaker 1: you think that maybe Crowley didn't hear the question properly.

555
00:36:28,520 --> 00:36:32,040
Speaker 1: Smith actually asked it a second Serni scenario, you would

556
00:36:32,120 --> 00:36:33,080
Speaker 1: partner with ICE.

557
00:36:33,680 --> 00:36:35,799
Speaker 8: I don't see any serrenaria where we want we would

558
00:36:35,840 --> 00:36:38,560
Speaker 8: want to partner with ICE because our local law enforcement

559
00:36:38,560 --> 00:36:42,080
Speaker 8: officials should be focused on protecting our local communities.

560
00:36:44,640 --> 00:36:47,520
Speaker 1: For a guy who skipped work for several years to

561
00:36:47,560 --> 00:36:51,440
Speaker 1: go back to college while also drawing a taxpayer funded

562
00:36:51,520 --> 00:36:55,600
Speaker 1: salary as Milwaukee County executive, I'm starting to think David

563
00:36:55,640 --> 00:36:59,880
Speaker 1: Crowley is actually just sort of dumb. Cooperation with ICE

564
00:37:00,560 --> 00:37:04,920
Speaker 1: means the Sheriff's department has to do absolutely nothing. They

565
00:37:05,120 --> 00:37:09,319
Speaker 1: literally answer an Ice. ICE puts a detainer on that

566
00:37:09,360 --> 00:37:14,600
Speaker 1: there is a multi jurisdiction national law enforcement database that

567
00:37:14,680 --> 00:37:18,880
Speaker 1: will hit if somebody is an illegal alien. It will

568
00:37:18,920 --> 00:37:24,279
Speaker 1: notify immigration authorities. ICE then puts a detainer request on

569
00:37:24,440 --> 00:37:27,600
Speaker 1: that specific illegal, saying, hey, just don't let him out

570
00:37:27,600 --> 00:37:29,919
Speaker 1: on bail, hold him here until we can come pick

571
00:37:30,000 --> 00:37:34,680
Speaker 1: him up. We're going to deport him. He's ours. Since

572
00:37:34,719 --> 00:37:38,320
Speaker 1: twenty eighteen, Milwaukee County has not honored those detainer requests,

573
00:37:38,960 --> 00:37:43,960
Speaker 1: and ICE merely wants those detainer requests honored. Crowley has

574
00:37:44,280 --> 00:37:48,480
Speaker 1: no idea he thinks cooperating with Ice means that Milwaukee

575
00:37:48,600 --> 00:37:51,359
Speaker 1: Sheriff's deputies are going to be going door to door

576
00:37:51,520 --> 00:37:56,720
Speaker 1: like in Minneapolis, looking for illegal aliens. Yes, this man

577
00:37:57,160 --> 00:38:02,560
Speaker 1: seriously wants to be your governor. Yikes, because he's evil

578
00:38:04,200 --> 00:38:09,480
Speaker 1: America in time to name the unhinged liberal of the

579
00:38:09,560 --> 00:38:13,120
Speaker 1: day here on the Dan O'Donnell show, and really pick

580
00:38:13,160 --> 00:38:17,000
Speaker 1: a liberal, any liberal who is freaking out about the

581
00:38:17,120 --> 00:38:21,960
Speaker 1: Trump Obama monkey video, and just listen to the truly

582
00:38:22,239 --> 00:38:26,359
Speaker 1: insane things that they are saying about. How racist not

583
00:38:26,440 --> 00:38:31,840
Speaker 1: just Trump, but every Republican is every single one of

584
00:38:31,880 --> 00:38:36,359
Speaker 1: them sharing that without a single bit of context. You're

585
00:38:36,880 --> 00:38:44,439
Speaker 1: unhinged liberals of the day. I can't help it, ladies

586
00:38:44,480 --> 00:38:48,080
Speaker 1: and gentlemen. I'm a sucker for the pomp and pageantry

587
00:38:48,120 --> 00:38:52,960
Speaker 1: of the Olympic opening ceremonies. And I'm watching on the

588
00:38:53,000 --> 00:38:57,680
Speaker 1: studio monitor here at our iHeartMedia studio, and you know,

589
00:38:57,760 --> 00:39:00,319
Speaker 1: the nations are filing in and very cool. They had

590
00:39:00,320 --> 00:39:05,000
Speaker 1: Andrea Bocelli sing as the Olympic torch went into the

591
00:39:05,120 --> 00:39:10,640
Speaker 1: stadium in Milan, and then they had Charlie's theren give

592
00:39:10,800 --> 00:39:15,160
Speaker 1: some globalist message about peace on Earth and how especially

593
00:39:15,320 --> 00:39:18,960
Speaker 1: in these times the Olympic Games are needed to remind

594
00:39:19,040 --> 00:39:22,760
Speaker 1: us of our common humanity. And she was talking about

595
00:39:22,840 --> 00:39:27,239
Speaker 1: all of my countrymen, and I thought I was going nuts.

596
00:39:27,960 --> 00:39:32,080
Speaker 1: Isn't she from South Africa? That they couldn't find an

597
00:39:32,080 --> 00:39:37,040
Speaker 1: Italian actress to do this? I mean, I know Sophia

598
00:39:37,080 --> 00:39:42,680
Speaker 1: Loren died, but we couldn't find any other. Wait with

599
00:39:42,760 --> 00:39:50,319
Speaker 1: Sophia arent French. Who's the Italian bombshell that I'm it

600
00:39:50,400 --> 00:39:53,880
Speaker 1: is Sophia Urn. And you know what, now that I

601
00:39:53,920 --> 00:39:56,160
Speaker 1: think about it, I think she might still be alive

602
00:39:57,400 --> 00:40:01,480
Speaker 1: now that. Why would you not get Sophia. Yes, Sophia

603
00:40:01,680 --> 00:40:08,920
Speaker 1: Urn born Sofia Costanza Brigita Vilani Cecilioni. She is an

604
00:40:08,920 --> 00:40:12,319
Speaker 1: Italian actress according to Wikipedia, with a career spanning over

605
00:40:12,360 --> 00:40:17,839
Speaker 1: seventy years. She is currently ninety one years old. They

606
00:40:17,880 --> 00:40:24,280
Speaker 1: couldn't have gotten Sofia Urn? Or how about Annabella Sciora?

607
00:40:24,360 --> 00:40:27,720
Speaker 1: Maybe not big enough? I just it it was very weird.

608
00:40:28,280 --> 00:40:31,080
Speaker 1: Or how about how about if they really wanted to

609
00:40:31,160 --> 00:40:34,600
Speaker 1: swing for the fences, you get snooky to do it.

610
00:40:34,640 --> 00:40:37,600
Speaker 1: Welcome back to the Dan O'Donnell show, four o'clock. Word

611
00:40:37,719 --> 00:40:40,960
Speaker 1: in the Cold Hard Cash Contest is Friend fri E

612
00:40:41,120 --> 00:40:44,279
Speaker 1: n D. Friend. You have got until four fifty five

613
00:40:44,320 --> 00:40:47,080
Speaker 1: to go to our website enter the keyword friend to

614
00:40:47,400 --> 00:40:51,200
Speaker 1: enter the contest. Thousand dollars on the line. They are

615
00:40:51,480 --> 00:40:55,799
Speaker 1: I think about to light the Olympic torch. Now, there

616
00:40:55,880 --> 00:40:59,240
Speaker 1: is a bit of a misconception that the Games start

617
00:40:59,360 --> 00:41:02,000
Speaker 1: with the light of the Olympic torch. They've actually been

618
00:41:02,040 --> 00:41:04,600
Speaker 1: going on for a couple of days. The first event

619
00:41:04,920 --> 00:41:08,800
Speaker 1: was curling that started a couple of days ago, women's hockey,

620
00:41:09,280 --> 00:41:13,080
Speaker 1: and there was a whole lot of concern about whether

621
00:41:13,160 --> 00:41:16,040
Speaker 1: or not they were actually going to fill finish building

622
00:41:16,120 --> 00:41:20,919
Speaker 1: the ice hockey Arena. Fortunately it seems as though they did.

623
00:41:20,960 --> 00:41:23,880
Speaker 1: The US women's hockey team, which is a favorite for gold,

624
00:41:24,080 --> 00:41:27,000
Speaker 1: just whooped Checchi a five to one. The Vice President

625
00:41:27,080 --> 00:41:30,120
Speaker 1: jd Vance Secretary of State Marco Rubio, both in attendance

626
00:41:30,120 --> 00:41:34,560
Speaker 1: as they are for this opening ceremony at sun Siro

627
00:41:34,920 --> 00:41:42,080
Speaker 1: Stadium in Milan. The Olympic flag is now out. The

628
00:41:42,200 --> 00:41:47,080
Speaker 1: biggest story to come out of the Olympics is one

629
00:41:47,120 --> 00:41:50,520
Speaker 1: that I think we have no choice but to cover.

630
00:41:50,600 --> 00:41:52,920
Speaker 1: In How Bizarre, our weekly look back at the strangest

631
00:41:52,960 --> 00:41:55,080
Speaker 1: stories of the past seven days. There is already The

632
00:41:55,120 --> 00:41:59,920
Speaker 1: Games haven't even really gotten underway yet, and there is

633
00:42:00,120 --> 00:42:06,400
Speaker 1: massive cheating scandal. Ski jumpers, ladies and gentlemen are using

634
00:42:06,560 --> 00:42:11,120
Speaker 1: a performance enhancing drug. It is apparently a widespread scandal,

635
00:42:11,880 --> 00:42:15,360
Speaker 1: and male ski jumpers are trying to get an unfair

636
00:42:15,440 --> 00:42:24,440
Speaker 1: advantage through the performance enhancing injection of hyluronic acid. Do

637
00:42:24,480 --> 00:42:29,799
Speaker 1: you know where? They are injecting it? Directly into the

638
00:42:30,040 --> 00:42:33,800
Speaker 1: last place in the world any man would want any

639
00:42:33,840 --> 00:42:38,320
Speaker 1: needle injected. How do they think that is helping them

640
00:42:38,480 --> 00:42:42,279
Speaker 1: fly longer on the ski jump? I don't know. We

641
00:42:42,360 --> 00:42:45,239
Speaker 1: will find out coming up in about an hour and

642
00:42:45,239 --> 00:42:48,160
Speaker 1: a half at about five point thirty in How bizarre.

643
00:42:48,239 --> 00:42:50,520
Speaker 1: Right now, it's about four to ten times four your

644
00:42:50,719 --> 00:42:51,600
Speaker 1: daily Trump day.

645
00:42:52,520 --> 00:42:55,320
Speaker 9: We're gonna win so much you may even get tired

646
00:42:55,360 --> 00:42:56,800
Speaker 9: of winning.

647
00:42:55,800 --> 00:43:00,160
Speaker 1: It is a win for the administration. It's also a

648
00:43:00,200 --> 00:43:03,400
Speaker 1: big win for the United States. We have to keep planning.

649
00:43:03,680 --> 00:43:07,560
Speaker 1: We have to win more. We're gonna win more. The

650
00:43:07,560 --> 00:43:11,120
Speaker 1: biggest win of the Trump administration may have come not

651
00:43:11,320 --> 00:43:15,080
Speaker 1: at sixteen hundred Pennsylvania Avenue, but on Wall Street today,

652
00:43:15,120 --> 00:43:18,080
Speaker 1: as for the first time ever, the Dow Jones Industrial

653
00:43:18,120 --> 00:43:23,960
Speaker 1: Average hit fifty thousand, a major league. Fox newsill lit because.

654
00:43:23,719 --> 00:43:26,680
Speaker 10: Here we go, the Dow is now above fifty thousand,

655
00:43:27,480 --> 00:43:29,839
Speaker 10: and it is happening now fifty thousand and four. John,

656
00:43:29,840 --> 00:43:32,400
Speaker 10: there it is. This is at all time high. I

657
00:43:32,440 --> 00:43:35,400
Speaker 10: believe it's the We're on track for the fifth record

658
00:43:35,440 --> 00:43:39,520
Speaker 10: close of twenty twenty six. The market is bouncing back

659
00:43:39,560 --> 00:43:43,920
Speaker 10: from what was a really uncertain market all week, the

660
00:43:43,960 --> 00:43:45,920
Speaker 10: S and P five hundred, the NAZA getting hit by

661
00:43:45,920 --> 00:43:48,799
Speaker 10: a tech selloff, and here we go. It is off

662
00:43:48,840 --> 00:43:51,000
Speaker 10: to the races, up almost eleven hundred points, two and

663
00:43:51,000 --> 00:43:52,040
Speaker 10: a quarter percent gain.

664
00:43:52,760 --> 00:43:55,360
Speaker 1: That's how it sounded on Fox News this afternoon. The

665
00:43:55,400 --> 00:43:58,800
Speaker 1: Dow did, in fact close above fifty thousand, fifty thousand,

666
00:43:59,080 --> 00:44:05,040
Speaker 1: one fifteen, huge economic news, unfortunately overshadowed by the media,

667
00:44:05,120 --> 00:44:09,160
Speaker 1: which is trying to portray Trump as, what else, a racist.

668
00:44:09,280 --> 00:44:11,640
Speaker 1: We spent a good portion of the three o'clock hour

669
00:44:11,840 --> 00:44:17,040
Speaker 1: debunking this latest hoax, a video depicting Barack and Michelle

670
00:44:17,040 --> 00:44:22,640
Speaker 1: Obama as monkeys, which was accidentally posted as part of

671
00:44:23,040 --> 00:44:26,000
Speaker 1: a video that Trump had posted on his truth social

672
00:44:26,040 --> 00:44:30,520
Speaker 1: account last night about the twenty twenty election irregularities in

673
00:44:30,600 --> 00:44:34,279
Speaker 1: critical swing states. All of a sudden, the video shifted

674
00:44:34,520 --> 00:44:38,440
Speaker 1: to what was the next video on auto roll in

675
00:44:38,760 --> 00:44:43,960
Speaker 1: whatever social media site that the video was screen captured from.

676
00:44:44,040 --> 00:44:46,200
Speaker 1: It was, in other words, a completely different video that

677
00:44:46,280 --> 00:44:50,480
Speaker 1: was never intended to be posted by the president. Hasn't mattered.

678
00:44:50,520 --> 00:44:53,280
Speaker 1: This is the only thing that Democrats in the media

679
00:44:53,320 --> 00:44:57,359
Speaker 1: have wanted to talk about today. They certainly didn't want

680
00:44:57,400 --> 00:45:01,680
Speaker 1: to talk about Attorney General Pam bonn The's announcement today

681
00:45:01,760 --> 00:45:05,400
Speaker 1: that one of the masterminds of the Benghazi terror attack

682
00:45:05,880 --> 00:45:09,279
Speaker 1: in Libya at the US embassy nearly twelve years ago

683
00:45:09,360 --> 00:45:10,560
Speaker 1: has been brought to justice.

684
00:45:10,600 --> 00:45:15,319
Speaker 2: Jerry Clinton famously once said about Benghazi, what difference at

685
00:45:15,320 --> 00:45:18,680
Speaker 2: this point does it make? Well, it makes a difference

686
00:45:18,760 --> 00:45:22,400
Speaker 2: to Donald Trump, It makes a difference to those families,

687
00:45:23,000 --> 00:45:27,080
Speaker 2: And fourteen years later, it makes a difference to law

688
00:45:27,160 --> 00:45:29,360
Speaker 2: enforcement who made the difference.

689
00:45:29,520 --> 00:45:34,800
Speaker 1: In this case, that suspect is back on American soil

690
00:45:34,880 --> 00:45:39,000
Speaker 1: and will finally faced justice for the attack that killed

691
00:45:39,000 --> 00:45:42,400
Speaker 1: the American ambassador to Libya. Just weeks before the twenty

692
00:45:42,440 --> 00:45:48,040
Speaker 1: twelve presidential election, the Trump administration is out pushing people

693
00:45:48,080 --> 00:45:53,040
Speaker 1: towards trumprx dot gov, the website that was unveiled in

694
00:45:53,239 --> 00:45:56,440
Speaker 1: an address from the White House last night, doctor Oz

695
00:45:56,600 --> 00:46:02,319
Speaker 1: Trump Health Aid explaining how exactly works. Essentially, Americans will

696
00:46:02,360 --> 00:46:06,359
Speaker 1: get low prices on prescription drugs through Most Favored Nation

697
00:46:06,760 --> 00:46:11,719
Speaker 1: negotiated prices. The Trump administration struck with prescription drug companies.

698
00:46:12,320 --> 00:46:15,720
Speaker 9: Well, these are US government negotiated most favorite nation prices.

699
00:46:15,800 --> 00:46:16,920
Speaker 1: Let me explain what that means.

700
00:46:17,880 --> 00:46:21,000
Speaker 9: Generally, in America until just now, we would pay on

701
00:46:21,160 --> 00:46:24,480
Speaker 9: average three times more for every medication we were taking,

702
00:46:24,680 --> 00:46:26,640
Speaker 9: even if it was made in a US facility. Then

703
00:46:26,680 --> 00:46:28,520
Speaker 9: they pay for that same drug over in Europe or

704
00:46:28,560 --> 00:46:30,440
Speaker 9: in Asia. Doesn't make any sense. You might wonder how

705
00:46:30,480 --> 00:46:33,080
Speaker 9: is that possible. Folks were getting away with it, so

706
00:46:33,120 --> 00:46:35,520
Speaker 9: they charged. The President came in and said, We're not

707
00:46:35,520 --> 00:46:38,799
Speaker 9: going to tolerate that anymore. Confront these pharmaceutical manufacturers face

708
00:46:38,880 --> 00:46:40,799
Speaker 9: to face, took them in the eyes and say it's

709
00:46:40,840 --> 00:46:45,680
Speaker 9: not fair. It's not right. There's global freeloading on American taxpayers.

710
00:46:45,800 --> 00:46:47,920
Speaker 9: We're going to make the prices fair, and that's called

711
00:46:48,000 --> 00:46:50,839
Speaker 9: most Favored Nation pricing. We negotiated it all about how

712
00:46:50,840 --> 00:46:54,200
Speaker 9: do the people of America get those prices? Trump RX

713
00:46:54,280 --> 00:46:54,719
Speaker 9: dot gov.

714
00:46:55,080 --> 00:46:59,640
Speaker 1: Is that solution that, ladies and gentlemen, your daily Trump dates.

715
00:47:00,239 --> 00:47:03,800
Speaker 1: It was pretty obvious that the media needed a new narrative.

716
00:47:03,880 --> 00:47:07,440
Speaker 1: Dow above fifty thousand Trump rx dot gov Trump accounts

717
00:47:07,560 --> 00:47:10,640
Speaker 1: going live. I mean, it seems like there's a good

718
00:47:10,640 --> 00:47:16,840
Speaker 1: amount of winning big win in Minneapolis. The riots are done. Sorry,

719
00:47:17,040 --> 00:47:20,919
Speaker 1: radical leftists, but the Trump administration did get a big

720
00:47:21,040 --> 00:47:24,719
Speaker 1: victory there, a victory that is spreading to other communities

721
00:47:24,760 --> 00:47:27,960
Speaker 1: here in Wisconsin. We had for you that exclusive report

722
00:47:28,000 --> 00:47:31,440
Speaker 1: from Matt Smith of Channel twelve, the ABC affiliate in Milwaukee,

723
00:47:31,680 --> 00:47:35,719
Speaker 1: that a number of different sheriff's departments in Wisconsin are

724
00:47:36,120 --> 00:47:40,759
Speaker 1: reaching agreements with ICE to simply turn over illegal immigrant

725
00:47:40,800 --> 00:47:44,640
Speaker 1: criminals who are already in their jails for deportation. That's

726
00:47:44,680 --> 00:47:48,080
Speaker 1: all the Trump administration wanted in Minnesota, and that's what

727
00:47:48,120 --> 00:47:53,040
Speaker 1: they're getting now. On its face, leftists were celebrating because

728
00:47:53,080 --> 00:47:55,719
Speaker 1: it looked like the Trump administration, well, they're pulling out

729
00:47:55,800 --> 00:47:59,000
Speaker 1: seven hundred agents out of Minneapolis because they don't need

730
00:47:59,000 --> 00:48:02,919
Speaker 1: them if they can simply go in the jails. If

731
00:48:03,040 --> 00:48:07,480
Speaker 1: counties across Minnesota no longer operate as sanctuaries for illegal

732
00:48:07,520 --> 00:48:11,080
Speaker 1: alien criminals, you only need one or two ICE agents

733
00:48:11,440 --> 00:48:13,920
Speaker 1: to pluck somebody out of the jail when they're already

734
00:48:14,000 --> 00:48:18,759
Speaker 1: in handcuffs and not armed obviously, whereas you might need six,

735
00:48:18,960 --> 00:48:23,080
Speaker 1: seven or eight ICE agents to deal with an illegal

736
00:48:23,120 --> 00:48:26,759
Speaker 1: alien who's holed up in some flophouse. And not only that,

737
00:48:26,800 --> 00:48:29,320
Speaker 1: you've got to deal with a mob of crazy liberals

738
00:48:29,640 --> 00:48:33,200
Speaker 1: who have been tracing your every move. And by the way,

739
00:48:33,360 --> 00:48:37,960
Speaker 1: can I point out something about those crazy liberals in Minneapolis?

740
00:48:38,960 --> 00:48:42,520
Speaker 1: Yesterday in the day before, there were two separate videos

741
00:48:42,520 --> 00:48:49,799
Speaker 1: of two separate left wing rioters screaming at ICE agents.

742
00:48:49,800 --> 00:48:53,640
Speaker 1: In both videos, the ICE agents were black, and in

743
00:48:53,719 --> 00:48:59,280
Speaker 1: both videos the white left wing agitators were calling them

744
00:48:59,360 --> 00:49:05,359
Speaker 1: and I vote house and words. But today these are

745
00:49:05,400 --> 00:49:09,480
Speaker 1: the same people who are very very upset about the

746
00:49:09,560 --> 00:49:15,000
Speaker 1: Trump Obama monkey video, even though it's not even close

747
00:49:15,280 --> 00:49:18,239
Speaker 1: to what it was being presented as. So this is

748
00:49:18,280 --> 00:49:23,840
Speaker 1: the new narrative, and the narrative that they wanted wasn't Minneapolis.

749
00:49:24,160 --> 00:49:27,680
Speaker 1: It was Jeffrey Epstein, right, but the latest batch of

750
00:49:27,760 --> 00:49:32,399
Speaker 1: Epstein files, as I think we pretty overwhelmingly proved on

751
00:49:32,440 --> 00:49:36,399
Speaker 1: this show a couple of days ago, when I think

752
00:49:36,560 --> 00:49:40,880
Speaker 1: very generously offered one thousand dollars of my own money,

753
00:49:40,719 --> 00:49:43,400
Speaker 1: we opened up the phone lines for a full hour,

754
00:49:44,640 --> 00:49:48,040
Speaker 1: and I said, anybody who can provide proof that I

755
00:49:48,080 --> 00:49:50,560
Speaker 1: am unable to refute, any bit of evidence that you

756
00:49:50,600 --> 00:49:54,000
Speaker 1: can find that I am not able to refute, you

757
00:49:54,080 --> 00:49:57,560
Speaker 1: win one thousand dollars of my money. Not one person

758
00:49:57,760 --> 00:50:01,120
Speaker 1: even came close to cashing in. The closest A guy

759
00:50:01,280 --> 00:50:05,840
Speaker 1: came was and I quote saying, well, I don't know

760
00:50:05,960 --> 00:50:10,080
Speaker 1: if he raped her, but he could have. It's the

761
00:50:10,080 --> 00:50:13,239
Speaker 1: best evidence they got. I don't know if he raped her,

762
00:50:13,719 --> 00:50:19,560
Speaker 1: but he could have. It's been a big bust for Democrats.

763
00:50:21,200 --> 00:50:26,160
Speaker 1: But do you know who is actually pretty tied to

764
00:50:26,360 --> 00:50:30,279
Speaker 1: Jeffrey Epstein and has been for some time the Democratic

765
00:50:30,280 --> 00:50:34,799
Speaker 1: Party of Wisconsin's single largest donor over the past five

766
00:50:34,880 --> 00:50:38,640
Speaker 1: or six election cycles. The founder of LinkedIn, Reid Hoffman.

767
00:50:39,200 --> 00:50:42,959
Speaker 1: Hoffman didn't just go to Epstein Island, and he did

768
00:50:43,040 --> 00:50:46,240
Speaker 1: so with a guy by the name of joy Ito,

769
00:50:46,600 --> 00:50:50,480
Speaker 1: under the auspices of trying to get Epstein to donate

770
00:50:50,520 --> 00:50:54,000
Speaker 1: to some technological fund, some charity that the two were

771
00:50:54,040 --> 00:50:58,520
Speaker 1: involved in. But now Epstein has been forced to admit

772
00:50:58,600 --> 00:51:01,080
Speaker 1: that there were way more excuse me. Hoffman has been

773
00:51:01,080 --> 00:51:04,000
Speaker 1: forced to admit that there were way more meetings with

774
00:51:04,120 --> 00:51:11,319
Speaker 1: Jeffrey Epstein than he originally copped to. Finally, the Milwaukee

775
00:51:11,400 --> 00:51:16,719
Speaker 1: Journal Sentinel has noticed, after pretty much every Republican in

776
00:51:16,800 --> 00:51:22,480
Speaker 1: the state demanded that Democrats give back their dirty Jeffrey

777
00:51:22,560 --> 00:51:27,000
Speaker 1: Epstein money from Reid Hoffman, that this was a big problem.

778
00:51:28,560 --> 00:51:33,960
Speaker 1: This is classic classic media deflection. The story is not

779
00:51:34,160 --> 00:51:37,480
Speaker 1: just about Reid Hoffman, who rather obviously has a big

780
00:51:37,520 --> 00:51:41,920
Speaker 1: Epstein problem. It is big name donors to Wisconsin political

781
00:51:41,960 --> 00:51:46,560
Speaker 1: campaigns appear in the Epstein files. It took two reporters,

782
00:51:46,640 --> 00:51:51,200
Speaker 1: Molly Beck, who might be the single biggest hack in

783
00:51:51,280 --> 00:51:55,200
Speaker 1: Wisconsin political reporting. And that is saying a lot. I'm

784
00:51:55,239 --> 00:51:59,880
Speaker 1: telling you, if there is a ridiculous left wing slam

785
00:52:00,160 --> 00:52:02,799
Speaker 1: to a story or a story that is just left

786
00:52:02,840 --> 00:52:06,520
Speaker 1: wing propaganda, I will bet I will go on Kelshi

787
00:52:07,000 --> 00:52:09,359
Speaker 1: and open up a position that it was written by

788
00:52:09,400 --> 00:52:15,640
Speaker 1: Molly Beck. Also Jesse o'payen, who is a little bit better.

789
00:52:16,280 --> 00:52:21,319
Speaker 1: Big donors to Wisconsin political campaigns appear in Epstein files.

790
00:52:22,040 --> 00:52:25,600
Speaker 1: Top donors to Wisconsin politicians are mentioned in the latest

791
00:52:25,640 --> 00:52:30,000
Speaker 1: release of files related to investigations into pedophile Jeffrey Epstein,

792
00:52:30,120 --> 00:52:33,440
Speaker 1: including top Democrat donor Reed Hoffman, who appears in the

793
00:52:33,480 --> 00:52:38,200
Speaker 1: documents more than twenty five hundred times. Hoffman, a venture

794
00:52:38,200 --> 00:52:41,440
Speaker 1: capitalist and co founder of LinkedIn, has donated fifteen million

795
00:52:41,480 --> 00:52:45,240
Speaker 1: dollars to the State Democratic Party since twenty nineteen, contributions

796
00:52:45,280 --> 00:52:48,400
Speaker 1: that include a recent pair of donations totaling two hundred

797
00:52:48,400 --> 00:52:53,160
Speaker 1: and seventy five thousand dollars. State campaign records show. So, okay,

798
00:52:53,160 --> 00:52:58,160
Speaker 1: this guy has given a ton of money. Who do

799
00:52:58,200 --> 00:53:03,600
Speaker 1: you suppose they are trying to equivocate on the Republican side.

800
00:53:03,960 --> 00:53:09,480
Speaker 1: Yep that's it exactly Elon Musk. Musk never went to

801
00:53:09,640 --> 00:53:14,640
Speaker 1: Epstein Island at all. In fact, the closest they can

802
00:53:14,680 --> 00:53:20,200
Speaker 1: get is him asking rather jokingly, rather obviously jokingly, because

803
00:53:20,200 --> 00:53:22,360
Speaker 1: he was with his wife and kids at the time.

804
00:53:22,760 --> 00:53:26,640
Speaker 1: As Epstein was trying desperately to get Elon Musk, who

805
00:53:26,680 --> 00:53:29,280
Speaker 1: was like the big name of the like twenty thirteen,

806
00:53:29,360 --> 00:53:33,000
Speaker 1: twenty fourteen. This was way before the left decided that

807
00:53:33,080 --> 00:53:36,280
Speaker 1: Elon Musk was a threat to democracy and a terrible

808
00:53:36,360 --> 00:53:39,040
Speaker 1: human being because he dared devote the wrong way and

809
00:53:39,080 --> 00:53:42,400
Speaker 1: support Donald Trump. Epstein was saying, hey, you got to

810
00:53:42,400 --> 00:53:45,600
Speaker 1: get out here, You got to get out here. Musk

811
00:53:45,920 --> 00:53:49,080
Speaker 1: was saying, look, I don't want to I'm running two companies.

812
00:53:49,560 --> 00:53:52,200
Speaker 1: Epstein was saying, hey, come to my place in New York,

813
00:53:52,800 --> 00:53:57,120
Speaker 1: and Musk was saying it was during the UN General Assembly,

814
00:53:57,160 --> 00:53:59,399
Speaker 1: and he's like, hey, you can meet with some diplomats.

815
00:53:59,440 --> 00:54:01,319
Speaker 1: And Musk, I don't know if it's because of his

816
00:54:01,440 --> 00:54:04,720
Speaker 1: low grade autism, didn't realize that what Epstein was actually

817
00:54:04,760 --> 00:54:07,600
Speaker 1: talking about was women. He said, no, I think it's

818
00:54:07,640 --> 00:54:09,640
Speaker 1: a waste of my time to meet with some UN

819
00:54:09,680 --> 00:54:13,120
Speaker 1: diplomats who are going to just talk at Epstein goes, no, uh,

820
00:54:13,280 --> 00:54:15,200
Speaker 1: I'm talking about women. There's going to be nobody here

821
00:54:15,239 --> 00:54:20,799
Speaker 1: that's over twenty five. Musk never went. The closest they

822
00:54:20,800 --> 00:54:24,120
Speaker 1: can come is Musk saying, hey, what night is going

823
00:54:24,160 --> 00:54:28,040
Speaker 1: to be the wildest party? It was like Christmas time,

824
00:54:28,400 --> 00:54:33,000
Speaker 1: and he was with his wife and young children. That

825
00:54:33,160 --> 00:54:36,040
Speaker 1: clearly he was being facetious. He knew the reputation of

826
00:54:36,080 --> 00:54:40,760
Speaker 1: Jeffrey Epstein. He never went. Then you have Reid Hoffman,

827
00:54:41,520 --> 00:54:43,960
Speaker 1: who has given more money than any other human being

828
00:54:44,040 --> 00:54:47,440
Speaker 1: to the Democratic Party of Wisconsin. And in Wisconsin we

829
00:54:47,560 --> 00:54:50,160
Speaker 1: have a loophole in which if you give to the

830
00:54:50,200 --> 00:54:53,279
Speaker 1: state party, either the Republican Party or the Democratic Party,

831
00:54:53,360 --> 00:54:55,280
Speaker 1: or you give to a county party, a local party,

832
00:54:55,320 --> 00:54:59,080
Speaker 1: whatever it is, they can turn around and give unlimited

833
00:54:59,120 --> 00:55:01,120
Speaker 1: amounts of just as you you can give unlimited amounts

834
00:55:01,160 --> 00:55:03,000
Speaker 1: of money to the party, the party can turn around

835
00:55:03,040 --> 00:55:06,440
Speaker 1: and give unlimited amounts of money to whatever candidate, whatever

836
00:55:06,480 --> 00:55:10,440
Speaker 1: committee they want to. It's known as the political party loophole,

837
00:55:10,560 --> 00:55:13,440
Speaker 1: or yes, the Scott Walker loophole, because it was under

838
00:55:13,520 --> 00:55:18,160
Speaker 1: Walker that the Republican Legislature did this. Democrats have really

839
00:55:18,200 --> 00:55:20,879
Speaker 1: been taking advantage of it because you've got left wing,

840
00:55:21,040 --> 00:55:24,680
Speaker 1: insane billionaires like Reid Hoffman and George Soros and the

841
00:55:24,680 --> 00:55:28,960
Speaker 1: Governor of Illinois JB. Pritzker, who have spent a fortune

842
00:55:29,080 --> 00:55:32,239
Speaker 1: even though they have no real ties to Wisconsin in

843
00:55:32,400 --> 00:55:35,640
Speaker 1: order to impact Wisconsin politics because we know they know

844
00:55:35,680 --> 00:55:39,120
Speaker 1: where the ultimate swing state, and as goes Wisconsin, so

845
00:55:39,320 --> 00:55:42,880
Speaker 1: goes the rest of the country. At least that is

846
00:55:42,920 --> 00:55:46,880
Speaker 1: the calculus that they have been making since twenty twenty,

847
00:55:46,960 --> 00:55:55,200
Speaker 1: and in Hoffman's case, even before Hoffman really has some

848
00:55:55,280 --> 00:55:58,919
Speaker 1: serious questions to answer about Jeffrey Epstein. There is no

849
00:55:59,320 --> 00:56:05,320
Speaker 1: proof and no evidence strongly suggesting that Hoffmann has ever

850
00:56:05,400 --> 00:56:11,800
Speaker 1: done anything illegal or was engaged in, you know, underage prostitution,

851
00:56:12,360 --> 00:56:16,200
Speaker 1: or even of age prostitution, which I will remind you

852
00:56:16,320 --> 00:56:21,839
Speaker 1: is still a crime, no indication of that. But under Democrats'

853
00:56:21,880 --> 00:56:30,240
Speaker 1: own standard, he's guilty, He's tainted, he's a pedophile because

854
00:56:30,280 --> 00:56:37,000
Speaker 1: without any evidence whatsoever, every single Democrat has been shrieking

855
00:56:37,560 --> 00:56:42,480
Speaker 1: since exactly July sixth. That was when there was a

856
00:56:42,520 --> 00:56:45,240
Speaker 1: whole lot of backlash to one of the previous dumps

857
00:56:45,280 --> 00:56:49,200
Speaker 1: of Epstein documents, and Democrats realized there was clearly a

858
00:56:49,239 --> 00:56:52,640
Speaker 1: memo that went out because no Democrat was talking about

859
00:56:52,760 --> 00:56:58,239
Speaker 1: Jeffrey Epstein before July sixth of twenty twenty five. Then

860
00:56:58,280 --> 00:57:02,040
Speaker 1: they realize, hey, what if we went with the narrative

861
00:57:02,080 --> 00:57:05,720
Speaker 1: that Trump is not releasing the Epstein files because Trump

862
00:57:05,760 --> 00:57:08,160
Speaker 1: is in the Epstein files. Yes, Elon Musk tweeting that

863
00:57:08,239 --> 00:57:15,359
Speaker 1: out did incalculable damage to left wing brains because it

864
00:57:15,440 --> 00:57:21,560
Speaker 1: was immediately assumed that Trump is a pedophile because reasons again,

865
00:57:21,640 --> 00:57:24,600
Speaker 1: I have been challenging leftists to provide any sort of

866
00:57:24,600 --> 00:57:26,240
Speaker 1: proof of that they have not been able to. But

867
00:57:26,360 --> 00:57:31,720
Speaker 1: using their own standard, Reid Hoffman is a pedophile and

868
00:57:31,920 --> 00:57:37,880
Speaker 1: anybody who accepted Reid Hoffman's money must also be a pedophile. Democrats,

869
00:57:38,080 --> 00:57:43,240
Speaker 1: you are pedophile boot liquors, pedophile defenders. Mark Pocan, you

870
00:57:43,360 --> 00:57:51,440
Speaker 1: are a pedophile defender. I actually asked him. I offered

871
00:57:51,840 --> 00:57:56,680
Speaker 1: five thousand dollars to Pocan's campaign of my own money.

872
00:57:58,000 --> 00:58:00,800
Speaker 1: A little nervous about that as the market is going down.

873
00:58:01,320 --> 00:58:03,640
Speaker 1: Had a great day today. I'm going to offer ten

874
00:58:03,720 --> 00:58:07,040
Speaker 1: thousand dollars right now of my own money. Yes, I

875
00:58:07,240 --> 00:58:10,400
Speaker 1: absolutely will pay to Mark Pokane if he can come

876
00:58:10,440 --> 00:58:13,960
Speaker 1: on this radio show and provide any proof that Donald

877
00:58:14,000 --> 00:58:20,000
Speaker 1: Trump is a pedophile, because he's been making those allegations

878
00:58:20,760 --> 00:58:24,480
Speaker 1: and Mark Pocann has refused to do so because there

879
00:58:24,560 --> 00:58:28,520
Speaker 1: is no proof. But that doesn't matter. So Mark Pocan

880
00:58:30,120 --> 00:58:34,680
Speaker 1: is a pedophile the fay he took pedophile money. Democrat

881
00:58:34,720 --> 00:58:39,000
Speaker 1: Party has got Mandela Barnes pedophile lover. He might as

882
00:58:39,040 --> 00:58:42,360
Speaker 1: well have a card to be in the National Man

883
00:58:42,400 --> 00:58:46,840
Speaker 1: Boy Love Association or whatever. Those perverts are just like

884
00:58:47,000 --> 00:58:53,120
Speaker 1: Sarah Rodriguez. I'm not saying that she has sexual relations

885
00:58:53,120 --> 00:58:55,840
Speaker 1: with young children, but I'm also not saying that because

886
00:58:55,880 --> 00:58:59,440
Speaker 1: she is taking money from Riedoff this is their standard.

887
00:59:00,000 --> 00:59:01,800
Speaker 1: I mean, if this is the standard, we want to

888
00:59:01,840 --> 00:59:06,200
Speaker 1: go on until they return that money. I mean how

889
00:59:06,240 --> 00:59:08,440
Speaker 1: many times I want you to go right now, go

890
00:59:08,520 --> 00:59:13,680
Speaker 1: to my Facebook page, scroll down to any posts that

891
00:59:13,720 --> 00:59:15,640
Speaker 1: I have made about Jeffrey Epstein, even posts that are

892
00:59:15,680 --> 00:59:19,520
Speaker 1: completely unrelated to Jeffrey Epstein, and see how many times

893
00:59:19,560 --> 00:59:26,360
Speaker 1: I am called a pedophile defender or I support child rapists,

894
00:59:28,560 --> 00:59:33,320
Speaker 1: no proof whatsoever, not a single person, even with one

895
00:59:33,400 --> 00:59:37,680
Speaker 1: thousand dollars on the line, even ten thousand dollars. Do

896
00:59:37,720 --> 00:59:41,520
Speaker 1: you have any idea how many all you can eat

897
00:59:41,560 --> 00:59:45,400
Speaker 1: buffets that Mark Pocan could buy with ten thousand dollars

898
00:59:45,440 --> 00:59:48,640
Speaker 1: of Dan O'Donnell's money. Why is he refusing to take

899
00:59:48,680 --> 00:59:52,160
Speaker 1: me up on this very generous offer because he knows

900
00:59:52,200 --> 00:59:56,560
Speaker 1: there's no proof, just as I know there is no

901
00:59:56,680 --> 01:00:01,200
Speaker 1: proof that Reid Hoffman had sex with children or anything

902
01:00:01,280 --> 01:00:05,080
Speaker 1: like that. But there is way more inference you can

903
01:00:05,120 --> 01:00:07,479
Speaker 1: make about Reid Hoffman than there is about Elon Musk

904
01:00:07,520 --> 01:00:09,720
Speaker 1: than there is about Donald Trump. Then there is about

905
01:00:09,760 --> 01:00:14,960
Speaker 1: practically every other billionaire who was on Epstein's party island

906
01:00:15,040 --> 01:00:20,720
Speaker 1: this side of Bill Gates. And by the way, Bill Gates,

907
01:00:21,800 --> 01:00:26,000
Speaker 1: he's got some serious explaining to do. I saw an

908
01:00:26,040 --> 01:00:29,320
Speaker 1: interview with his now ex wife, Melinda. She was asked

909
01:00:29,360 --> 01:00:33,160
Speaker 1: flat out and the interviewer was very delicate in asking

910
01:00:33,200 --> 01:00:38,600
Speaker 1: this question. She was asked, Hey, you know, there's this

911
01:00:38,680 --> 01:00:43,920
Speaker 1: story that Bill got a sexually transmitted infection and he

912
01:00:44,120 --> 01:00:48,720
Speaker 1: was emailing Epstein, or he was asking Epstein about secretly

913
01:00:48,840 --> 01:00:52,400
Speaker 1: slipping you an antibiotic because he accidentally gave it to you.

914
01:00:52,400 --> 01:00:54,560
Speaker 1: You know, how does that make you. She did not

915
01:00:54,640 --> 01:00:57,880
Speaker 1: deny it. She did not say, yeah, no, that's totally false.

916
01:00:57,920 --> 01:00:59,840
Speaker 1: That is one hundred percent false. I did not get

917
01:00:59,840 --> 01:01:05,360
Speaker 1: an STI because my philandering husband was stooping Russian prostitutes

918
01:01:05,400 --> 01:01:11,160
Speaker 1: on Jeffrey Epstein's pedophile island. So I think Bill Gates

919
01:01:11,200 --> 01:01:13,840
Speaker 1: absolutely if you are if you are looking for people

920
01:01:13,840 --> 01:01:18,200
Speaker 1: who are actually implicated in the Jeffrey Epstein files, who

921
01:01:18,320 --> 01:01:24,520
Speaker 1: actually very likely were engaged in prostitution with underage girls,

922
01:01:24,760 --> 01:01:29,680
Speaker 1: one the former Prince Andrew, there is absolutely evidence there two.

923
01:01:31,840 --> 01:01:36,720
Speaker 1: Bill Gates, you got to give me a better answer

924
01:01:37,480 --> 01:01:42,480
Speaker 1: for the STI. And when your wife essentially corroborates it

925
01:01:42,520 --> 01:01:46,640
Speaker 1: through a non denial, that's that's bad. There are there

926
01:01:46,640 --> 01:01:50,880
Speaker 1: are also minor There's a British politician. He's a member

927
01:01:50,920 --> 01:01:53,160
Speaker 1: of the Labor Party. His name his name Escapes me.

928
01:01:53,280 --> 01:01:57,080
Speaker 1: He also appears to have some very serious connection. There

929
01:01:57,160 --> 01:02:01,880
Speaker 1: is no documented evidence whatso however, that Donald Trump had

930
01:02:01,920 --> 01:02:04,640
Speaker 1: anything to do with Jeffrey Epstein after like two thousand

931
01:02:04,640 --> 01:02:08,240
Speaker 1: and four or two thousand and five, well before Epstein's

932
01:02:08,280 --> 01:02:15,320
Speaker 1: first conviction for sex trafficking. Reid Hoffman single biggest donor

933
01:02:15,360 --> 01:02:19,680
Speaker 1: to the Wisconsin Democratic Party. He's partying with Jeffrey Epstein.

934
01:02:19,760 --> 01:02:25,600
Speaker 1: Up and down. You've got major left wing media figures.

935
01:02:26,120 --> 01:02:29,480
Speaker 1: You've got a very prominent anti Trump writer for The

936
01:02:29,520 --> 01:02:32,600
Speaker 1: Atlantic by the name of Michael Wolfe literally emailing with

937
01:02:32,720 --> 01:02:38,120
Speaker 1: Epstein saying, Hey, if you go hardcore anti Trump, people

938
01:02:38,200 --> 01:02:41,320
Speaker 1: will love you. If you turn on Trump and try

939
01:02:41,320 --> 01:02:43,360
Speaker 1: to connect him to your crimes, people will love you.

940
01:02:43,440 --> 01:02:48,520
Speaker 1: That is criminal conspiracy to try to make up false

941
01:02:48,600 --> 01:02:52,360
Speaker 1: allegations against an innocent person. That's exactly what wolf is

942
01:02:52,400 --> 01:02:59,640
Speaker 1: talking about. Steve Bannon, the erstwhile conservative Svengali, he is

943
01:03:00,200 --> 01:03:04,400
Speaker 1: literally trying to rehab Epstein's image. He's interviewing him for

944
01:03:04,520 --> 01:03:08,160
Speaker 1: hours and hours and hours, essentially saying the same thing. Hey,

945
01:03:08,200 --> 01:03:12,920
Speaker 1: take Donald Trump down and you'll be golden brother. You've

946
01:03:12,960 --> 01:03:18,080
Speaker 1: got Stacey Plasquett. She is the non voting congressional delegate

947
01:03:18,160 --> 01:03:23,120
Speaker 1: from the US Virgin Islands who's literally texting with Jeffrey

948
01:03:23,160 --> 01:03:27,040
Speaker 1: Epstein live during a hearing about what to ask a

949
01:03:27,080 --> 01:03:31,960
Speaker 1: particular witness. All of these people are left wing. All

950
01:03:32,000 --> 01:03:35,680
Speaker 1: of these people have way deeper ties to Jeffrey Epstein.

951
01:03:36,200 --> 01:03:38,720
Speaker 1: But of course, what do we get from the newspaper

952
01:03:38,760 --> 01:03:43,120
Speaker 1: of record in Whisky's well, it's top donors to both parties? No, no, no,

953
01:03:43,120 --> 01:03:48,520
Speaker 1: no no no read Epstein is you know what appendage

954
01:03:48,640 --> 01:03:52,680
Speaker 1: deep in the Jeffrey Epstein files. And I don't want

955
01:03:52,720 --> 01:03:55,840
Speaker 1: to hear a single word from a single Democrat in

956
01:03:55,880 --> 01:03:59,960
Speaker 1: this state about Jeffrey Epstein and Donald Trump and Republicans

957
01:04:00,480 --> 01:04:06,360
Speaker 1: unless you give back your dirty Jeffrey Epstein reed Hoffman money.

958
01:04:06,440 --> 01:04:10,400
Speaker 1: Joining me next is the chairman of the Milwaukee Republican

959
01:04:10,520 --> 01:04:14,560
Speaker 1: Party with an exciting announcement coming up ahead of the

960
01:04:14,600 --> 01:04:19,000
Speaker 1: twenty twenty six elections. Stay tuned to the Dan o'donald Show.

961
01:04:19,040 --> 01:04:23,880
Speaker 1: It is conservative thought, not just talk. And if you've

962
01:04:23,880 --> 01:04:28,080
Speaker 1: been listening to this show at all over the last well,

963
01:04:28,560 --> 01:04:31,640
Speaker 1: I don't know decade, you've known that I am huge

964
01:04:31,800 --> 01:04:36,160
Speaker 1: into door to door campaign work, doing the legwork of

965
01:04:36,240 --> 01:04:41,040
Speaker 1: winning elections. Fundraising and all of it. Well, you also

966
01:04:41,200 --> 01:04:44,560
Speaker 1: know that one of the people within the Republican Party

967
01:04:44,600 --> 01:04:48,480
Speaker 1: who I am a big fan of for using next

968
01:04:48,560 --> 01:04:53,840
Speaker 1: gen connection with voters is Milwaukee County GOP Chairman Hilario

969
01:04:53,960 --> 01:04:58,440
Speaker 1: Dalioni joins us live in the studio to introduce Operation

970
01:04:58,760 --> 01:05:02,520
Speaker 1: Connecting Milwaukee. Hilario, great to see you, my friend. Hey,

971
01:05:02,560 --> 01:05:03,720
Speaker 1: it's great to be back on the show.

972
01:05:03,800 --> 01:05:04,000
Speaker 3: Dan.

973
01:05:04,480 --> 01:05:07,760
Speaker 1: So what is Operation Connecting Milwaukee? What is this new initiative?

974
01:05:07,880 --> 01:05:09,960
Speaker 11: So, this is a new initiative for our county party

975
01:05:10,040 --> 01:05:13,800
Speaker 11: organization where we're actually basically bringing people into the party

976
01:05:13,840 --> 01:05:16,720
Speaker 11: that are willing to step up and become ward captains

977
01:05:16,800 --> 01:05:20,160
Speaker 11: or preesting captains for their communities. This is a game

978
01:05:20,280 --> 01:05:24,000
Speaker 11: changer for our organization. Our party used to be very much,

979
01:05:24,040 --> 01:05:26,360
Speaker 11: you know, let's do big dinners, let's do garden party

980
01:05:26,520 --> 01:05:29,400
Speaker 11: kind of mentality, and that mentality doesn't win elections. And

981
01:05:29,480 --> 01:05:32,959
Speaker 11: so essentially, this is our initiative getting people out there

982
01:05:33,200 --> 01:05:36,080
Speaker 11: and it just connecting with neighbors in their community.

983
01:05:36,240 --> 01:05:36,800
Speaker 1: That is it.

984
01:05:36,920 --> 01:05:38,880
Speaker 11: We're not asking that much. You know, if someone wants

985
01:05:38,880 --> 01:05:41,120
Speaker 11: to give an hour of their time to help with

986
01:05:41,280 --> 01:05:44,240
Speaker 11: us to you know, the mission is lose by less

987
01:05:44,240 --> 01:05:47,200
Speaker 11: than Milwaukee County. Milwaukee is a Democrat county. We have

988
01:05:47,360 --> 01:05:49,560
Speaker 11: known that. I've people who know me very well. They

989
01:05:49,600 --> 01:05:51,000
Speaker 11: know that this is something that I've took as a

990
01:05:51,080 --> 01:05:53,040
Speaker 11: rally cry. This is actually something that Charlie Kirk has

991
01:05:53,080 --> 01:05:55,560
Speaker 11: talked about with me when I first met him. And

992
01:05:56,000 --> 01:05:58,000
Speaker 11: it makes sense. We're not going to win it outright.

993
01:05:58,040 --> 01:06:00,600
Speaker 11: If we increase our voter percentage even by few points

994
01:06:00,600 --> 01:06:03,920
Speaker 11: in Milwaukee, we win the state. Lose by less in Milwaukee,

995
01:06:03,960 --> 01:06:06,760
Speaker 11: win by more in areas like Waukesha County. That is

996
01:06:06,800 --> 01:06:07,680
Speaker 11: the mission at hand.

997
01:06:07,920 --> 01:06:10,800
Speaker 1: What do you see as the target percentage?

998
01:06:11,560 --> 01:06:14,400
Speaker 11: You know, in twenty twenty four, we increased our voter

999
01:06:14,480 --> 01:06:17,200
Speaker 11: percentage by two or three percent in Milwaukee County. If

1000
01:06:17,240 --> 01:06:19,520
Speaker 11: we can increase that even further, you know, let's say

1001
01:06:19,800 --> 01:06:23,400
Speaker 11: four or five, six, seven points in a mid term

1002
01:06:23,520 --> 01:06:27,360
Speaker 11: election cycle, I guarantee that we will prevent the Democrats

1003
01:06:27,360 --> 01:06:30,720
Speaker 11: from winning the governor's race again and hopefully maintain both

1004
01:06:30,760 --> 01:06:33,120
Speaker 11: the Assembly and the Senate. That is what we have

1005
01:06:33,160 --> 01:06:35,560
Speaker 11: to do. Those there's gonna be millions and millions and

1006
01:06:35,600 --> 01:06:38,960
Speaker 11: millions of dollars spent on these races, specifically targeting the

1007
01:06:39,120 --> 01:06:42,040
Speaker 11: rob Hutton seat, which we have a fantastic hit running

1008
01:06:42,160 --> 01:06:44,720
Speaker 11: to replace Rob Hutton. His name is Mike Roberts, so

1009
01:06:44,720 --> 01:06:47,520
Speaker 11: we're looking to support him. Had a great meeting with him.

1010
01:06:47,920 --> 01:06:50,440
Speaker 11: We're not sure what's going to happen with Senator Van Wainguard,

1011
01:06:50,560 --> 01:06:52,760
Speaker 11: if he's going to run, if he's not going to run,

1012
01:06:52,880 --> 01:06:55,280
Speaker 11: whatever the case may be. We're going to ensure that

1013
01:06:55,360 --> 01:06:57,480
Speaker 11: our members are ready to go. We have boots on

1014
01:06:57,480 --> 01:06:59,640
Speaker 11: the ground and we're going to go and identify those

1015
01:06:59,720 --> 01:07:03,120
Speaker 11: low propensity Conservatives and Republicans who just don't turn out

1016
01:07:03,160 --> 01:07:06,240
Speaker 11: for elections. Plus ensuring that the base turns out. We

1017
01:07:06,360 --> 01:07:08,200
Speaker 11: have to get everybody to turn out and vote this

1018
01:07:08,240 --> 01:07:08,960
Speaker 11: election cycle.

1019
01:07:09,080 --> 01:07:11,640
Speaker 1: Yeah, and that's what it comes down to. Here's the

1020
01:07:11,800 --> 01:07:15,240
Speaker 1: issue as I see it, especially in counties like Milwaukee,

1021
01:07:16,200 --> 01:07:20,280
Speaker 1: you get more Black and Latino voters who have become

1022
01:07:20,600 --> 01:07:24,560
Speaker 1: what I call Trump curious or GOP curious, and maybe

1023
01:07:24,600 --> 01:07:27,920
Speaker 1: they've voted call it like the Nicki Minaja fact, we

1024
01:07:28,040 --> 01:07:31,080
Speaker 1: got Lil Wayne as Well endorsed Trump in twenty twenty.

1025
01:07:32,160 --> 01:07:35,880
Speaker 1: But those aren't voters who are what you would call

1026
01:07:35,960 --> 01:07:39,720
Speaker 1: high propensity. So not only do we have a greater

1027
01:07:39,880 --> 01:07:44,800
Speaker 1: percentage of black and Latino working class voters in Milwaukee County.

1028
01:07:44,880 --> 01:07:48,920
Speaker 1: We also have the traditional blue dog, blue collar Democrats

1029
01:07:48,920 --> 01:07:51,400
Speaker 1: in western and northern Wisconsin. In some of those more

1030
01:07:51,480 --> 01:07:56,680
Speaker 1: rural areas, they have not in the elections twenty eighteen,

1031
01:07:56,800 --> 01:08:00,240
Speaker 1: twenty twenty two, and potentially now twenty twenty six. And

1032
01:08:00,280 --> 01:08:02,840
Speaker 1: we've seen it in two different state Supreme Court races.

1033
01:08:02,880 --> 01:08:06,120
Speaker 1: They aren't turning out without Trump on the ballot in

1034
01:08:06,160 --> 01:08:10,480
Speaker 1: Milwaukee County especially, What is your plan to get those

1035
01:08:10,800 --> 01:08:13,640
Speaker 1: voters who we know cast ballots for Trump, or at

1036
01:08:13,720 --> 01:08:16,120
Speaker 1: least we think they did. How do you get them

1037
01:08:16,320 --> 01:08:20,000
Speaker 1: engaged in local races coming up this April and then

1038
01:08:20,560 --> 01:08:23,160
Speaker 1: in state legislative and congressional races this fall.

1039
01:08:23,439 --> 01:08:25,600
Speaker 11: Well, I think April it's going to be very difficult

1040
01:08:26,280 --> 01:08:28,200
Speaker 11: with the Supreme Court race coming up. But you know,

1041
01:08:28,200 --> 01:08:29,599
Speaker 11: we're going to do what we can to get out

1042
01:08:29,640 --> 01:08:32,320
Speaker 11: there and knock on doors from Maria Lazar and our

1043
01:08:32,360 --> 01:08:33,240
Speaker 11: local candidates.

1044
01:08:33,479 --> 01:08:36,120
Speaker 1: But I think, all, what do you mean, it's going

1045
01:08:36,200 --> 01:08:37,120
Speaker 1: to be very difficult.

1046
01:08:37,200 --> 01:08:40,080
Speaker 11: I think in terms of the conversations that I'm having

1047
01:08:40,080 --> 01:08:42,479
Speaker 11: with people across the state, no one is really talking

1048
01:08:42,520 --> 01:08:45,040
Speaker 11: about the Supreme Court race. They're not talking about it.

1049
01:08:45,040 --> 01:08:45,320
Speaker 7: At all.

1050
01:08:45,560 --> 01:08:49,800
Speaker 11: The resources aren't there. Many people are holding onto resources

1051
01:08:49,840 --> 01:08:53,320
Speaker 11: for November's election, and I don't blame them. We put

1052
01:08:53,320 --> 01:08:56,840
Speaker 11: a lot of efforts and resources during the Brad Schimmel election.

1053
01:08:57,439 --> 01:08:59,880
Speaker 11: We put thousands and thousands of dollars out of our

1054
01:09:00,040 --> 01:09:02,640
Speaker 11: county party into that race and into that effort, and

1055
01:09:02,640 --> 01:09:04,320
Speaker 11: we actually put boots on the ground to get out

1056
01:09:04,320 --> 01:09:07,120
Speaker 11: there and increase the voter percentage. We actually had twelve

1057
01:09:07,200 --> 01:09:10,000
Speaker 11: thousand more votes than we had for Dan Kelly for

1058
01:09:10,040 --> 01:09:12,479
Speaker 11: Brad Schimmel. So we're going to do what we can

1059
01:09:12,520 --> 01:09:15,280
Speaker 11: for Marillas are. But I think the emphasis and the

1060
01:09:15,280 --> 01:09:18,840
Speaker 11: focus of this initiative through Operation Connecting Milwaukee, is specifically

1061
01:09:19,080 --> 01:09:21,760
Speaker 11: geared up for the November election, for the governor's race,

1062
01:09:22,040 --> 01:09:25,000
Speaker 11: up and down the ticket, and our local races, while

1063
01:09:25,040 --> 01:09:27,240
Speaker 11: also ensuring that we're going to gear up for twenty

1064
01:09:27,320 --> 01:09:29,719
Speaker 11: twenty eight, even though it seems like a long ways away,

1065
01:09:30,000 --> 01:09:31,640
Speaker 11: it really isn't, and we're going to do what we

1066
01:09:31,680 --> 01:09:34,960
Speaker 11: can to get everyone out there to vote. It's going

1067
01:09:35,000 --> 01:09:36,920
Speaker 11: to take a lot of time, it's going to take,

1068
01:09:36,960 --> 01:09:39,800
Speaker 11: most importantly a lot of money that's going to go

1069
01:09:39,880 --> 01:09:42,519
Speaker 11: into this effort. And so you talked about earlier on

1070
01:09:42,560 --> 01:09:45,240
Speaker 11: your show, the Walker loophole that is there. The Democrats

1071
01:09:45,280 --> 01:09:47,559
Speaker 11: take advantage of this all the time. They just raised

1072
01:09:47,560 --> 01:09:50,200
Speaker 11: millions and millions of dollars and they funnel it through

1073
01:09:50,200 --> 01:09:53,840
Speaker 11: their different organizations or into their county parties. My rally cry,

1074
01:09:53,880 --> 01:09:55,840
Speaker 11: and this is something that people are frustrated with the

1075
01:09:55,840 --> 01:10:00,000
Speaker 11: state party at that level and their fundraising. I encourage

1076
01:10:00,200 --> 01:10:02,599
Speaker 11: one people, Yes exactly, you're one of them. We've talked

1077
01:10:02,640 --> 01:10:04,719
Speaker 11: about it countless times. I know you and I have talked,

1078
01:10:04,840 --> 01:10:06,920
Speaker 11: you know, over the phone about everything that's going on

1079
01:10:06,960 --> 01:10:08,800
Speaker 11: at the state But people that are frustrated with the

1080
01:10:08,800 --> 01:10:10,960
Speaker 11: state party, or they are frustrated with the national party,

1081
01:10:10,960 --> 01:10:13,439
Speaker 11: but they still want to donate money, or if they

1082
01:10:13,479 --> 01:10:16,000
Speaker 11: want to donate more to a candidate, but they're capped,

1083
01:10:16,360 --> 01:10:19,479
Speaker 11: donate to our organization. Donate to the Republican Party of

1084
01:10:19,520 --> 01:10:23,400
Speaker 11: Milwaukee County. We can receive unlimited funds and donate unlimited

1085
01:10:23,439 --> 01:10:26,680
Speaker 11: funds to candidates. And we have some great candidates that

1086
01:10:26,720 --> 01:10:29,160
Speaker 11: are going to be running this election cycle that we

1087
01:10:29,240 --> 01:10:31,559
Speaker 11: need to ensure that we get over the finish line

1088
01:10:31,600 --> 01:10:35,160
Speaker 11: so that we can maintain the majority in both chambers

1089
01:10:35,360 --> 01:10:37,720
Speaker 11: of our state. Because the Dems are going to do

1090
01:10:37,760 --> 01:10:40,559
Speaker 11: everything in their power to try and take those seats.

1091
01:10:40,640 --> 01:10:43,200
Speaker 11: They want a majority so bad. I hear them talking

1092
01:10:43,200 --> 01:10:45,120
Speaker 11: about it all the time when I'm in Milwaukee County.

1093
01:10:45,240 --> 01:10:47,640
Speaker 11: It's actually, you know, kind of sad that that is

1094
01:10:47,720 --> 01:10:51,680
Speaker 11: all they're worried about, is their quest for power, and

1095
01:10:51,760 --> 01:10:54,559
Speaker 11: so that's what that's what we're up against. You know,

1096
01:10:54,760 --> 01:10:57,960
Speaker 11: it's again the lose by less mentality. We're going to

1097
01:10:58,000 --> 01:11:00,519
Speaker 11: increase that voter percentage. We're going to get people to

1098
01:11:00,600 --> 01:11:03,480
Speaker 11: continue to join the party. We're growing as an organization.

1099
01:11:03,760 --> 01:11:06,000
Speaker 11: We've had six new members just joined the party this week,

1100
01:11:06,400 --> 01:11:09,000
Speaker 11: so we're just gonna keep building. We're going down to

1101
01:11:09,040 --> 01:11:11,519
Speaker 11: Florida this month for the first time ever for a

1102
01:11:11,520 --> 01:11:14,599
Speaker 11: fundraiser because we have a lot of Wisconsinites that move

1103
01:11:14,720 --> 01:11:17,200
Speaker 11: to Florida or they live in Florida, you know, even

1104
01:11:17,240 --> 01:11:18,360
Speaker 11: sometimes part of.

1105
01:11:18,280 --> 01:11:19,320
Speaker 1: The city in Florida.

1106
01:11:19,360 --> 01:11:20,479
Speaker 11: We're going to be going to Naples.

1107
01:11:20,680 --> 01:11:22,840
Speaker 1: I was gonna say, you better damn well be going

1108
01:11:22,840 --> 01:11:26,160
Speaker 1: to Naples because it seems like half of Milwaukee is

1109
01:11:26,200 --> 01:11:27,519
Speaker 1: down there, all right, good.

1110
01:11:27,600 --> 01:11:30,040
Speaker 11: Yeah, And we're looking forward to having a state Senator

1111
01:11:30,120 --> 01:11:32,759
Speaker 11: Chris Kapinga be our guest speaker and he's.

1112
01:11:32,560 --> 01:11:34,800
Speaker 1: Going to what day is this?

1113
01:11:34,800 --> 01:11:36,080
Speaker 11: This is February twentieth.

1114
01:11:36,160 --> 01:11:39,720
Speaker 1: Okay, I gotta tell my mom. Okay, you're gonna get dead,

1115
01:11:39,800 --> 01:11:42,280
Speaker 1: dan O'donnald's mom is going to be there, and she'd

1116
01:11:42,280 --> 01:11:44,919
Speaker 1: better be opening up her checkbook. Give you the details,

1117
01:11:44,920 --> 01:11:47,040
Speaker 1: all right, please do, Hilario dally O and the chairman

1118
01:11:47,080 --> 01:11:49,840
Speaker 1: of the Milwaukee County Republican Party. I gotta say this.

1119
01:11:49,840 --> 01:11:53,000
Speaker 1: This all sounds great, Hilario, except for one thing. One thing.

1120
01:11:54,520 --> 01:11:58,479
Speaker 1: You are already giving up on the state Supreme Court race.

1121
01:11:59,200 --> 01:12:03,040
Speaker 1: We just had the Democratic Party of Wisconsin. Even though

1122
01:12:03,600 --> 01:12:07,240
Speaker 1: you know, there's sort of this idea that it's fatacompli

1123
01:12:07,320 --> 01:12:10,320
Speaker 1: that Chrissy Taylor's gonna win by a ton, the state

1124
01:12:10,400 --> 01:12:15,200
Speaker 1: party just transferred two hundred and fifty thousand dollars to her.

1125
01:12:16,040 --> 01:12:19,000
Speaker 1: She has ten times more in the bank than mariel

1126
01:12:19,000 --> 01:12:20,800
Speaker 1: as are. Although I don't know if you saw this,

1127
01:12:21,800 --> 01:12:24,519
Speaker 1: mariel Azar has raised something like one hundred and seventy

1128
01:12:24,560 --> 01:12:28,800
Speaker 1: three thousand dollars in three weeks. I mean, her fundraising

1129
01:12:28,840 --> 01:12:34,200
Speaker 1: has really kicked into high gear. My point is, Democrats

1130
01:12:34,520 --> 01:12:37,479
Speaker 1: do not take a single race for granted. Democrats do

1131
01:12:37,560 --> 01:12:41,920
Speaker 1: not give up on a single race, even in legislative

1132
01:12:41,920 --> 01:12:45,679
Speaker 1: districts where they're gonna lose by twenty they're fielding candidates,

1133
01:12:45,760 --> 01:12:50,120
Speaker 1: they're funding those candidates. I guess, how can you justify saying, well,

1134
01:12:50,240 --> 01:12:54,640
Speaker 1: you know what, we're gonna give it the old college try.

1135
01:12:55,439 --> 01:12:59,360
Speaker 1: Why aren't you like really putting this operation into full gear.

1136
01:12:59,400 --> 01:13:01,479
Speaker 1: I mean not only the state Supreme Court race, but

1137
01:13:01,479 --> 01:13:05,839
Speaker 1: you know how big I am on local races, school board,

1138
01:13:06,080 --> 01:13:10,360
Speaker 1: on county board races, city elections. I mean, this is

1139
01:13:10,400 --> 01:13:14,040
Speaker 1: something that you have got to really commit to as

1140
01:13:14,040 --> 01:13:14,880
Speaker 1: a county party.

1141
01:13:14,920 --> 01:13:18,240
Speaker 11: I think, well, I think ultimately it's about the you know,

1142
01:13:18,880 --> 01:13:22,599
Speaker 11: it's the long game where the resources best spent for

1143
01:13:22,680 --> 01:13:25,120
Speaker 11: the state. And ultimately we would love to win the

1144
01:13:25,120 --> 01:13:27,160
Speaker 11: Supreme Court race. And I think Marie Lazar is a

1145
01:13:27,200 --> 01:13:30,120
Speaker 11: fantastic candidate. She's a her and her husband are really

1146
01:13:30,200 --> 01:13:34,040
Speaker 11: wonderful people. I believe that it's the numbers game. It's

1147
01:13:34,080 --> 01:13:36,719
Speaker 11: the issue is that the base doesn't turn out. Even

1148
01:13:36,840 --> 01:13:39,479
Speaker 11: despite the efforts that we put in for Brad Shimmel.

1149
01:13:39,720 --> 01:13:42,400
Speaker 11: We hit the threshold that Brad has talked about that

1150
01:13:42,439 --> 01:13:44,240
Speaker 11: we needed and we still got.

1151
01:13:44,439 --> 01:13:47,840
Speaker 1: You know, and that was that was just for those

1152
01:13:47,920 --> 01:13:53,040
Speaker 1: who are wondering. It was sixty percent, six zero percent

1153
01:13:53,800 --> 01:13:57,080
Speaker 1: of voters that voted for Donald Trump in the presidential

1154
01:13:57,160 --> 01:14:01,160
Speaker 1: race voted for Brad Shimmel. Normally, that's enough to dominate

1155
01:14:01,720 --> 01:14:06,880
Speaker 1: any other Supreme court race. Susan Crawford got seventy six

1156
01:14:06,960 --> 01:14:10,960
Speaker 1: percent of Kamala Harris's voters. I mean, it's just it's

1157
01:14:11,040 --> 01:14:14,439
Speaker 1: it's unreal how they're able to turn out their people

1158
01:14:14,479 --> 01:14:16,880
Speaker 1: in all of these races. And it's really an inversion

1159
01:14:17,360 --> 01:14:21,200
Speaker 1: of what state legislative and off year elections and Supreme

1160
01:14:21,200 --> 01:14:24,200
Speaker 1: court elections looked like for decades here in Wisconsin, where

1161
01:14:24,200 --> 01:14:25,920
Speaker 1: we had all of the voters show up for that,

1162
01:14:25,960 --> 01:14:27,960
Speaker 1: we just for the life of us couldn't win presidential

1163
01:14:28,000 --> 01:14:31,200
Speaker 1: elections here. But I guess, and I understand what you're saying.

1164
01:14:31,200 --> 01:14:33,600
Speaker 1: Please don't get me wrong, And you can't you know,

1165
01:14:33,640 --> 01:14:36,000
Speaker 1: you can't force them to give to you. Yeah, but

1166
01:14:36,080 --> 01:14:41,040
Speaker 1: I guess I'm just very frustrated by this pervading, pervasive

1167
01:14:41,080 --> 01:14:44,439
Speaker 1: attitude that well it's already lost. It's it's sort of

1168
01:14:44,439 --> 01:14:47,800
Speaker 1: this ere syndrome, and that's going to trickle down to

1169
01:14:48,120 --> 01:14:53,080
Speaker 1: lower races, appeals court races, circuit court races, mayoral races

1170
01:14:53,120 --> 01:14:54,360
Speaker 1: that we cannot afford to lose.

1171
01:14:54,400 --> 01:14:57,080
Speaker 11: I will say we have our candidate recruitment coordinator in

1172
01:14:57,120 --> 01:14:59,400
Speaker 11: our county party and others that are working with local

1173
01:14:59,439 --> 01:15:02,040
Speaker 11: candidates across the county. We are working to get more

1174
01:15:02,080 --> 01:15:04,880
Speaker 11: people out there. It's hard to recruit local candidates to

1175
01:15:04,920 --> 01:15:08,160
Speaker 11: run for office, and so we're a volunteer organization. We're

1176
01:15:08,200 --> 01:15:10,960
Speaker 11: doing what we can. We need the national Party to

1177
01:15:11,040 --> 01:15:14,360
Speaker 11: understand that you cannot give up on Wisconsin. You cannot

1178
01:15:14,400 --> 01:15:17,240
Speaker 11: see territory to the left because, like you said, they

1179
01:15:17,600 --> 01:15:20,600
Speaker 11: understand what is at stake, and they understand that you

1180
01:15:20,680 --> 01:15:24,360
Speaker 11: must dominate every single election. They believe in absolute power

1181
01:15:24,439 --> 01:15:26,280
Speaker 11: and they have a hive mind. At the end of the day,

1182
01:15:26,520 --> 01:15:29,519
Speaker 11: we are individual thinkers. We have people that are you know,

1183
01:15:29,640 --> 01:15:32,799
Speaker 11: so focused. They think that, uh, just because the president

1184
01:15:32,880 --> 01:15:35,400
Speaker 11: is in office and the Republicans control, you know, have

1185
01:15:35,479 --> 01:15:38,080
Speaker 11: a very very very slim majority in the House and

1186
01:15:38,120 --> 01:15:40,559
Speaker 11: we control the Senate and that too is a slim majority,

1187
01:15:41,160 --> 01:15:43,960
Speaker 11: that everything's a okay. And that's not true. We need

1188
01:15:44,000 --> 01:15:46,840
Speaker 11: to ensure that we get everybody off the couch. You're

1189
01:15:46,880 --> 01:15:49,519
Speaker 11: you're not going to be successful when you're just streaming

1190
01:15:49,600 --> 01:15:51,920
Speaker 11: at the TV or yelling at the radio. I know

1191
01:15:51,960 --> 01:15:53,800
Speaker 11: people listen to your show, they're probably yelling at the

1192
01:15:53,880 --> 01:15:57,559
Speaker 11: radio too, especially Bill who was on the show earlier.

1193
01:15:57,600 --> 01:16:02,640
Speaker 1: We love him a lot, Yeah, the boomer libs. I

1194
01:16:02,680 --> 01:16:04,040
Speaker 1: do love him.

1195
01:16:04,080 --> 01:16:07,479
Speaker 11: But we're going to do what we can for Mariaazart

1196
01:16:07,600 --> 01:16:11,120
Speaker 11: with sweat equity. That sweat equity is sometimes the most

1197
01:16:11,160 --> 01:16:12,720
Speaker 11: important work. We're going to go out there for in

1198
01:16:12,840 --> 01:16:15,000
Speaker 11: and out doors. We're going to use targeted data to

1199
01:16:15,040 --> 01:16:17,880
Speaker 11: go and identify these low propensity voters to say, hey,

1200
01:16:18,280 --> 01:16:20,479
Speaker 11: we need you to turn out and vote because what

1201
01:16:21,200 --> 01:16:24,200
Speaker 11: I know will probably happen. Let's say this scenario, we

1202
01:16:24,280 --> 01:16:27,439
Speaker 11: lose the Supreme Court race. Let's say we even win

1203
01:16:27,479 --> 01:16:29,960
Speaker 11: the Supreme Court race. The Democrats still have a majority

1204
01:16:30,000 --> 01:16:32,920
Speaker 11: on the Supreme Court. We win the governor's race, we

1205
01:16:33,040 --> 01:16:35,320
Speaker 11: keep the majorities in both the Assembly and the Senate.

1206
01:16:35,360 --> 01:16:37,680
Speaker 11: What will probably happen is that the Democrats are going

1207
01:16:37,720 --> 01:16:41,840
Speaker 11: to start legislating from the bench. And sometimes bad things

1208
01:16:41,880 --> 01:16:44,160
Speaker 11: have to happen before good happens. Maybe that has to

1209
01:16:44,240 --> 01:16:46,040
Speaker 11: be a wake up call for the rest of the

1210
01:16:46,080 --> 01:16:47,920
Speaker 11: state to say, hey, we need to get out and

1211
01:16:47,960 --> 01:16:49,840
Speaker 11: we need to ensure that we put all the resources

1212
01:16:49,880 --> 01:16:52,679
Speaker 11: and vote in every single election year round.

1213
01:16:53,400 --> 01:16:56,920
Speaker 1: He is Hilario Daly, own chairman of Milwaukee County Republican Party.

1214
01:16:56,960 --> 01:16:59,920
Speaker 1: Great friend of the Dan O'Donnell showed is Operation Connecting

1215
01:17:00,000 --> 01:17:04,760
Speaker 1: Milwaukee is at mk eg op dot com, mk egp

1216
01:17:05,240 --> 01:17:09,320
Speaker 1: dot com. Hilario always appreciate you coming in. We are

1217
01:17:09,400 --> 01:17:13,040
Speaker 1: running way late for a commercial break. We got to

1218
01:17:13,080 --> 01:17:14,760
Speaker 1: take it right now back in just a second here

1219
01:17:14,800 --> 01:17:18,639
Speaker 1: on the Dan o'donald show. Oh, you say anything you want.

1220
01:17:18,640 --> 01:17:20,679
Speaker 1: I have no idea what you're gonna say. Let's line

1221
01:17:20,720 --> 01:17:23,320
Speaker 1: up those calls right now, four one, four, seven, nine

1222
01:17:23,320 --> 01:17:27,040
Speaker 1: to nine eleven thirty back before you know it. Welcome back.

1223
01:17:27,080 --> 01:17:31,519
Speaker 1: Final hour on a Friday afternoon. That means we have

1224
01:17:31,640 --> 01:17:34,320
Speaker 1: some fun. We are going to be talking super Bowl,

1225
01:17:34,360 --> 01:17:38,120
Speaker 1: which is this weekend. I know nobody's really pumped up

1226
01:17:38,160 --> 01:17:40,920
Speaker 1: about the game or the halftime show. We always have

1227
01:17:41,040 --> 01:17:44,799
Speaker 1: some fun with some prop bets. Also, how bizarre, strangest

1228
01:17:44,840 --> 01:17:50,360
Speaker 1: stories of the past seven days coming up? Uh in

1229
01:17:50,640 --> 01:17:55,240
Speaker 1: this hour? First could hard cash contest word this hour

1230
01:17:55,320 --> 01:17:58,400
Speaker 1: five o'clock hour is bank b A NK bank. You

1231
01:17:58,560 --> 01:18:02,479
Speaker 1: have got until five to go to our website enter

1232
01:18:02,520 --> 01:18:05,479
Speaker 1: the keyword bank to enter the contest for this hour.

1233
01:18:06,000 --> 01:18:08,920
Speaker 1: If your entry is picked at random, you will take

1234
01:18:09,000 --> 01:18:17,280
Speaker 1: one thousand dollars to the bank. All right, here's how

1235
01:18:17,320 --> 01:18:19,920
Speaker 1: this works. We always have a lot of fun. We

1236
01:18:20,040 --> 01:18:22,880
Speaker 1: debuted this at the beginning of the year, so this

1237
01:18:22,920 --> 01:18:26,719
Speaker 1: is probably our fourth time playing a brand new segment

1238
01:18:26,760 --> 01:18:42,880
Speaker 1: here on the Dan o'donnald show Talk radio route. It

1239
01:18:43,000 --> 01:18:47,280
Speaker 1: is quite a gamble. Maybe not with my life professional life.

1240
01:18:47,320 --> 01:18:51,920
Speaker 1: Perhaps not. Only are we turning over the program to

1241
01:18:52,120 --> 01:18:56,719
Speaker 1: you your phone calls. I have no idea what each

1242
01:18:56,840 --> 01:18:59,400
Speaker 1: caller is going to say. The only thing that is

1243
01:18:59,520 --> 01:19:02,479
Speaker 1: up on my screen. You can talk about anything and everything,

1244
01:19:02,880 --> 01:19:04,800
Speaker 1: and I have no idea. The only thing that is

1245
01:19:04,880 --> 01:19:07,439
Speaker 1: up on my screen is your name and where you

1246
01:19:07,640 --> 01:19:10,719
Speaker 1: are calling from. You can ask me any question within reason.

1247
01:19:11,000 --> 01:19:14,800
Speaker 1: Of course, you can make any point you want, and

1248
01:19:15,040 --> 01:19:20,000
Speaker 1: I am going to respond. Let's spin the wheel and

1249
01:19:20,120 --> 01:19:24,920
Speaker 1: it lands on Randy in Fitchburg. Up first, Welcome to

1250
01:19:24,960 --> 01:19:26,040
Speaker 1: talk radio Roulette.

1251
01:19:26,080 --> 01:19:32,000
Speaker 12: Randy, Hey, I got a follow up. I believe it

1252
01:19:32,160 --> 01:19:38,400
Speaker 12: was twenty three February twenty three. Heartland Arrowhead was videotaping.

1253
01:19:39,520 --> 01:19:42,639
Speaker 12: Players changed in the study hall for the game.

1254
01:19:42,840 --> 01:19:43,599
Speaker 1: Oh that's right.

1255
01:19:43,760 --> 01:19:45,080
Speaker 6: Wherever any follow up to that.

1256
01:19:46,320 --> 01:19:50,599
Speaker 1: Okay, so a couple of years ago, Heartland Arrowhead High School,

1257
01:19:51,040 --> 01:19:56,000
Speaker 1: which spent how many million dollars on a basketball locker room,

1258
01:19:56,840 --> 01:20:01,280
Speaker 1: apparently didn't have a visitor's locker room, so they were

1259
01:20:01,360 --> 01:20:05,719
Speaker 1: forcing visiting basketball teams to get changed in a study

1260
01:20:05,760 --> 01:20:10,360
Speaker 1: hall room. Well as most classrooms do in schools today.

1261
01:20:10,920 --> 01:20:15,479
Speaker 1: That study hall room had a camera. We were told

1262
01:20:15,920 --> 01:20:19,200
Speaker 1: that nobody was looking at students changing, but there were

1263
01:20:19,200 --> 01:20:22,760
Speaker 1: a number of teams that were understandably put off by this.

1264
01:20:23,520 --> 01:20:29,120
Speaker 1: As far as I know, they allowed after the story broke,

1265
01:20:29,160 --> 01:20:32,240
Speaker 1: After we broke that story almost exactly two years ago

1266
01:20:32,360 --> 01:20:37,599
Speaker 1: in fact, and I believe I believe this is correct.

1267
01:20:37,640 --> 01:20:39,880
Speaker 1: You'll have to forgive me because it's been so long.

1268
01:20:40,000 --> 01:20:45,679
Speaker 1: I believe they allowed visiting basketball teams to use a

1269
01:20:46,240 --> 01:20:49,120
Speaker 1: locker room that otherwise they weren't being allowed to use.

1270
01:20:49,160 --> 01:20:51,639
Speaker 1: That was the thing. There was a visiting locker room,

1271
01:20:52,160 --> 01:20:55,160
Speaker 1: but for some reason it was off limits to visiting

1272
01:20:55,200 --> 01:20:57,320
Speaker 1: basketball teams, so they were forced to change in the

1273
01:20:57,360 --> 01:21:01,000
Speaker 1: study hall, which just seemed odd to me. All Right,

1274
01:21:01,160 --> 01:21:03,840
Speaker 1: that's the follow up that I have. If someone else

1275
01:21:03,920 --> 01:21:07,120
Speaker 1: has one, please do email or text Jerry in Walka

1276
01:21:07,240 --> 01:21:09,320
Speaker 1: Shaw up next on Talk Radio Roulette.

1277
01:21:10,960 --> 01:21:14,839
Speaker 13: Hey, I was just wondering whatever happened to Mike Lindell,

1278
01:21:14,960 --> 01:21:15,800
Speaker 13: the My Pillow Guy.

1279
01:21:16,080 --> 01:21:20,439
Speaker 1: He he's running for governor of Minnesota. He is he is,

1280
01:21:20,880 --> 01:21:24,759
Speaker 1: Oh yeah, yeah, he is back and bigger than ever.

1281
01:21:25,240 --> 01:21:28,519
Speaker 1: He's been around sort of the fringes. He started what

1282
01:21:28,720 --> 01:21:32,320
Speaker 1: was it, Frank, He tried to start a social media site.

1283
01:21:32,360 --> 01:21:36,880
Speaker 1: He's been really hyper focused on election integrity and how

1284
01:21:36,880 --> 01:21:40,920
Speaker 1: the twenty twenty election was rigged. And hopefully as much

1285
01:21:40,960 --> 01:21:43,400
Speaker 1: as I do like Mike, I believe we had him

1286
01:21:43,439 --> 01:21:47,160
Speaker 1: on the program years and years ago before twenty twenty,

1287
01:21:47,439 --> 01:21:49,599
Speaker 1: and I met him at a couple of Trump events

1288
01:21:49,600 --> 01:21:54,559
Speaker 1: and the RNC as well. Nice enough guy, but he

1289
01:21:54,960 --> 01:21:59,960
Speaker 1: is not the strongest candidate that Republicans would put up again,

1290
01:22:00,520 --> 01:22:05,160
Speaker 1: probably almost certainly Amy Klobashar, the Senator who's running because

1291
01:22:05,160 --> 01:22:07,760
Speaker 1: of course tap On Tim Walls had to drop out

1292
01:22:07,800 --> 01:22:10,519
Speaker 1: because of the Somali fraud scandal. But yeah, that is

1293
01:22:10,600 --> 01:22:14,160
Speaker 1: what that is what My Pillow Guy is up to.

1294
01:22:14,400 --> 01:22:20,120
Speaker 1: Eric in Greenfield, as we roll the wheel again, you

1295
01:22:20,320 --> 01:22:22,559
Speaker 1: are on Talk Radio Roulette, Sir, welcome to it.

1296
01:22:23,520 --> 01:22:25,960
Speaker 6: Well, Hi, thank you, thank you for taking my call.

1297
01:22:27,640 --> 01:22:30,559
Speaker 6: I just want to let everybody know in case they

1298
01:22:30,680 --> 01:22:35,040
Speaker 6: don't know, today is Ronald Reagan's birthday.

1299
01:22:35,840 --> 01:22:40,000
Speaker 1: Oh my goodness, today is the sixth. That is, you

1300
01:22:40,040 --> 01:22:45,800
Speaker 1: know what. I actually operated on the assumption all day today. Eric,

1301
01:22:45,920 --> 01:22:48,280
Speaker 1: I'm glad you said that that today was the seventh.

1302
01:22:48,320 --> 01:22:50,679
Speaker 1: In fact, I actually have I do like an outline

1303
01:22:50,720 --> 01:22:54,879
Speaker 1: of the show. I have some show notes and February sixth,

1304
01:22:55,080 --> 01:22:58,519
Speaker 1: nineteen ten, oh, nineteen eleven?

1305
01:22:59,200 --> 01:22:59,720
Speaker 6: Was it ten?

1306
01:22:59,880 --> 01:23:04,400
Speaker 1: Or I think? Let me let's see doctor Google. I

1307
01:23:04,479 --> 01:23:08,200
Speaker 1: was very close. It was nineteen eleven. February sixth, nineteen eleven,

1308
01:23:08,240 --> 01:23:11,960
Speaker 1: passed away June fifth, two thousand and four, had himself

1309
01:23:12,200 --> 01:23:16,200
Speaker 1: a very nice run. Yeah, the Gipper would have been

1310
01:23:16,479 --> 01:23:20,800
Speaker 1: one hundred and fifteen years old today. Thank you so

1311
01:23:20,920 --> 01:23:24,320
Speaker 1: much for pointing that out four one four seven, nine

1312
01:23:24,280 --> 01:23:29,160
Speaker 1: to nine eleven thirty to play talk radio Roulette call up.

1313
01:23:29,479 --> 01:23:32,000
Speaker 1: Our producer is going to screen you, so you can't

1314
01:23:32,040 --> 01:23:35,479
Speaker 1: just say random crazy stuff or just start swearing into

1315
01:23:35,479 --> 01:23:38,880
Speaker 1: the telephone receiver. But I have no idea what it

1316
01:23:39,120 --> 01:23:41,040
Speaker 1: is that you are going to say. We always have

1317
01:23:41,120 --> 01:23:43,519
Speaker 1: a lot of fun with this, and let's go to

1318
01:23:46,360 --> 01:23:51,360
Speaker 1: Matt in Musqigo up next. How you doing Matt good,

1319
01:23:51,400 --> 01:23:53,479
Speaker 1: how you doing fantastic? My friend?

1320
01:23:54,920 --> 01:24:01,080
Speaker 6: Okay, I'm thinking see I'm thinking Seattle for New England

1321
01:24:01,160 --> 01:24:04,000
Speaker 6: twenty one. And then the second part to my question,

1322
01:24:04,120 --> 01:24:05,519
Speaker 6: are you having a Super Bowl party?

1323
01:24:05,880 --> 01:24:08,200
Speaker 1: I am not having a Super Bowl party at my house.

1324
01:24:08,280 --> 01:24:11,920
Speaker 1: I am going to a super Bowl party. We always

1325
01:24:12,560 --> 01:24:16,000
Speaker 1: the traditional Super Bowl party and our family is at

1326
01:24:16,040 --> 01:24:20,160
Speaker 1: my in laws, but they, for the second straight year,

1327
01:24:21,840 --> 01:24:23,840
Speaker 1: they've got a lot on their plate. Let's just put

1328
01:24:23,840 --> 01:24:25,880
Speaker 1: it that way. So we're going to my brother and

1329
01:24:26,000 --> 01:24:29,600
Speaker 1: sister in laws, a lot of friends, a couple of

1330
01:24:29,600 --> 01:24:32,960
Speaker 1: members of my family. Yes we are. We always have

1331
01:24:33,280 --> 01:24:34,880
Speaker 1: a whole lot of fun with the Super you know,

1332
01:24:34,920 --> 01:24:37,360
Speaker 1: we do the Super Bowl Squares. I actually do a

1333
01:24:37,439 --> 01:24:40,479
Speaker 1: game where the kids really like this one. It's all

1334
01:24:40,560 --> 01:24:44,360
Speaker 1: the prop bets. It's like heads or tails for the coin,

1335
01:24:44,439 --> 01:24:48,880
Speaker 1: flip over or under a specific time, for the length

1336
01:24:48,920 --> 01:24:51,960
Speaker 1: of the national anthem. That's always a fun one. Which

1337
01:24:52,000 --> 01:24:56,400
Speaker 1: team scores first. There's there's all sorts of like what

1338
01:24:56,479 --> 01:25:00,880
Speaker 1: color will the gatorade bath be that the UH winning

1339
01:25:00,960 --> 01:25:04,120
Speaker 1: coach gets. It's it's always a whole lot of fun.

1340
01:25:04,200 --> 01:25:08,160
Speaker 1: Let's go up next to Scott on talk radio Roulette.

1341
01:25:08,160 --> 01:25:09,760
Speaker 1: Scott you're on the Dan O'Donnell show.

1342
01:25:11,479 --> 01:25:13,519
Speaker 5: Hey, Dan, two questions for you.

1343
01:25:15,400 --> 01:25:19,799
Speaker 3: The tallest roller coaster in the world is in Saudi

1344
01:25:19,800 --> 01:25:22,080
Speaker 3: Arabia and fifty seats.

1345
01:25:22,280 --> 01:25:24,840
Speaker 5: Okay, would you ever ride it?

1346
01:25:26,479 --> 01:25:27,120
Speaker 3: Uh?

1347
01:25:27,800 --> 01:25:29,880
Speaker 1: Yeah, I think I went. Does it go upside down?

1348
01:25:31,240 --> 01:25:34,400
Speaker 6: Oh yeah, it's still a video of it. Was like

1349
01:25:34,720 --> 01:25:35,920
Speaker 6: one hundred miles an hour.

1350
01:25:36,080 --> 01:25:40,639
Speaker 1: Oh man, Yeah, you know, I'll try most things once

1351
01:25:40,880 --> 01:25:45,400
Speaker 1: within reason. I'm not one of those that's really really

1352
01:25:45,920 --> 01:25:53,400
Speaker 1: unnaturally afraid of roller coasters. I yeah, I think I would.

1353
01:25:53,640 --> 01:25:57,080
Speaker 1: There there are it's do you remember at six Flags

1354
01:25:57,080 --> 01:26:01,360
Speaker 1: Great America down in Gurney the roller coaster the shock Wave.

1355
01:26:02,280 --> 01:26:05,600
Speaker 1: They had to basically shut that thing down and decommission

1356
01:26:05,600 --> 01:26:08,559
Speaker 1: because so many people were losing consciousness because the g

1357
01:26:08,760 --> 01:26:12,400
Speaker 1: forces were just way too intense. It was things like

1358
01:26:12,520 --> 01:26:15,280
Speaker 1: that where it was and also the American Eagle that

1359
01:26:15,320 --> 01:26:19,280
Speaker 1: are just so rickety that I just I never liked it,

1360
01:26:19,360 --> 01:26:21,280
Speaker 1: not because oh, you know, you're so scared, but it's

1361
01:26:21,280 --> 01:26:24,800
Speaker 1: like you're banging around and it like physically hurts. The

1362
01:26:24,840 --> 01:26:28,719
Speaker 1: new roller coasters are so smooth, and they figured out

1363
01:26:28,760 --> 01:26:32,759
Speaker 1: how to have intense g forces without bashing the side

1364
01:26:32,760 --> 01:26:36,439
Speaker 1: of your head against the restraints. So yeah, I mean

1365
01:26:36,800 --> 01:26:41,519
Speaker 1: I'd be a little concerned about Saudi safety standards as

1366
01:26:41,560 --> 01:26:45,080
Speaker 1: opposed to American safety standards, but yeah, I think I

1367
01:26:45,120 --> 01:26:47,120
Speaker 1: would go on that one. Let's go to Allen Up

1368
01:26:47,160 --> 01:26:49,360
Speaker 1: next on Talk Radio Roulette. What's going on? Alan?

1369
01:26:50,520 --> 01:26:54,280
Speaker 5: Hey, good afternoon. I got a question for you. Sure,

1370
01:26:54,640 --> 01:26:56,439
Speaker 5: I love to listen to your program, but the last

1371
01:26:56,560 --> 01:26:58,200
Speaker 5: use the last R of your program. If I have

1372
01:26:58,360 --> 01:27:03,280
Speaker 5: to be working near like Spring Prairie Lions, Wisconsin, north

1373
01:27:03,320 --> 01:27:06,479
Speaker 5: of Lake Geneva, and sometimes your channel starts to kind

1374
01:27:06,479 --> 01:27:08,479
Speaker 5: of fizz out, we can't quite get you on Nason

1375
01:27:08,560 --> 01:27:11,120
Speaker 5: sharp and clear. But I get this Raindom channel from

1376
01:27:11,120 --> 01:27:14,160
Speaker 5: either Saint Louis or some place down Louisiana, and there

1377
01:27:14,200 --> 01:27:16,960
Speaker 5: as clear as day. Why is that possibly happening? If

1378
01:27:17,000 --> 01:27:19,880
Speaker 5: I'm still on your AM eleven thirty and You're thirty

1379
01:27:19,880 --> 01:27:21,880
Speaker 5: five minutes from where I'm at, and I'm getting you know,

1380
01:27:21,960 --> 01:27:25,760
Speaker 5: stations from halfway and more than halfway across the country.

1381
01:27:25,439 --> 01:27:27,599
Speaker 1: Well that's what's up and listening. Okay. That is what's

1382
01:27:27,680 --> 01:27:31,160
Speaker 1: known as signal bleed. I knew I was going to

1383
01:27:31,160 --> 01:27:34,040
Speaker 1: get a question about this, especially in the winter time,

1384
01:27:34,439 --> 01:27:37,160
Speaker 1: so as you know, we are not the only eleven

1385
01:27:37,320 --> 01:27:40,000
Speaker 1: thirty or thirteen ten. If you're listening to US in

1386
01:27:40,040 --> 01:27:45,000
Speaker 1: Madison in the country, and you'll notice also that long

1387
01:27:45,080 --> 01:27:49,439
Speaker 1: about sunrise and long about sunset. If you're listening to

1388
01:27:49,479 --> 01:27:53,680
Speaker 1: the over the air broadcast, you will hear something that

1389
01:27:53,880 --> 01:28:00,880
Speaker 1: sounds sort of like this. That is us powering up

1390
01:28:00,960 --> 01:28:05,640
Speaker 1: our signal at sunrise to its full fifty thousand watt broadcast,

1391
01:28:06,280 --> 01:28:12,640
Speaker 1: or at sunset powering down. That's an FCC requirement to

1392
01:28:12,760 --> 01:28:16,599
Speaker 1: prevent signal bleed if we did not power down at night.

1393
01:28:16,720 --> 01:28:21,839
Speaker 1: And I can't remember the exact scientific reason. AM radio

1394
01:28:22,000 --> 01:28:26,920
Speaker 1: waves travel in such a way at night that if

1395
01:28:26,960 --> 01:28:30,519
Speaker 1: you don't limit your signal, you just won't be able

1396
01:28:30,600 --> 01:28:35,280
Speaker 1: to listen to AM radio, because every single station that's

1397
01:28:35,360 --> 01:28:40,040
Speaker 1: broadcasting anywhere near eleven thirty on your AM band will

1398
01:28:40,040 --> 01:28:46,479
Speaker 1: be bleeding into even ostensibly more powerful signals. It also

1399
01:28:46,600 --> 01:28:49,920
Speaker 1: has to do with the direction that the transmitters are

1400
01:28:49,960 --> 01:28:53,920
Speaker 1: actually facing. So if you're getting stations from Louisiana and

1401
01:28:54,000 --> 01:28:59,080
Speaker 1: Saint Louis, that means that they are blasting straight northward

1402
01:28:59,160 --> 01:29:05,240
Speaker 1: towards us. Our transmitter is facing west, so we're broadcasting westward.

1403
01:29:05,240 --> 01:29:07,040
Speaker 1: It doesn't make much sense for us to go east

1404
01:29:07,120 --> 01:29:10,599
Speaker 1: because obviously there's a giant lake there, and it doesn't

1405
01:29:10,640 --> 01:29:12,400
Speaker 1: make a whole lot of sense for us to go

1406
01:29:12,600 --> 01:29:16,880
Speaker 1: south directionally with our broadcast because very quickly you'll get

1407
01:29:16,920 --> 01:29:19,840
Speaker 1: into Illinois. So we are west. We're kind of northwest

1408
01:29:20,320 --> 01:29:25,160
Speaker 1: in our signal the way it faces. As a result

1409
01:29:25,200 --> 01:29:29,880
Speaker 1: of that, you're going to see, uh, you're going to

1410
01:29:29,960 --> 01:29:33,840
Speaker 1: see stations that are that are blasting right towards you,

1411
01:29:34,640 --> 01:29:41,800
Speaker 1: most likely interfering with our signal. Let's go to Rich

1412
01:29:42,040 --> 01:29:45,919
Speaker 1: listening to us in Greendale. Rich, you're on talk radio Roulette.

1413
01:29:47,200 --> 01:29:48,280
Speaker 5: Hey, Dan, how's it going?

1414
01:29:48,439 --> 01:29:49,360
Speaker 1: Good Man? What's up?

1415
01:29:51,120 --> 01:29:54,439
Speaker 13: Can you? Can you do me a favor and just

1416
01:29:54,520 --> 01:29:56,479
Speaker 13: be standing up for Milwaukee and.

1417
01:29:56,520 --> 01:29:58,719
Speaker 3: Have it to Daniel Donald late at the Moon Show.

1418
01:30:00,080 --> 01:30:02,040
Speaker 1: I'll tell you what I can do a pretty good

1419
01:30:02,040 --> 01:30:09,120
Speaker 1: impression of Belling saying, and listen to this, standang up

1420
01:30:09,200 --> 01:30:12,559
Speaker 1: for Milwaukee. Huh that's not too bad.

1421
01:30:12,720 --> 01:30:12,880
Speaker 13: Huh.

1422
01:30:13,040 --> 01:30:13,120
Speaker 8: No.

1423
01:30:13,280 --> 01:30:16,400
Speaker 1: We honor the legacy of Mark Belling, who, by the way,

1424
01:30:16,479 --> 01:30:20,400
Speaker 1: will return in early May with the Mark Belling Podcast

1425
01:30:20,520 --> 01:30:24,599
Speaker 1: three days a week on iHeartRadio or wherever you listen

1426
01:30:24,680 --> 01:30:31,200
Speaker 1: to podcasts. But Mark did an incredible talk show I

1427
01:30:31,320 --> 01:30:36,400
Speaker 1: do a show that I think hopefully honors that legacy.

1428
01:30:36,439 --> 01:30:39,040
Speaker 1: I've got the legacy of Jay Weber as well the

1429
01:30:39,040 --> 01:30:43,760
Speaker 1: other wysn ogs. But here on the Dan o'donald Show,

1430
01:30:43,760 --> 01:30:46,400
Speaker 1: we always try to do our own thing. All right,

1431
01:30:46,479 --> 01:30:52,080
Speaker 1: let's spin that wheel again and it lands in green Field.

1432
01:30:52,160 --> 01:30:55,599
Speaker 1: From Greendale to green Field, we find Will Will. You're

1433
01:30:55,640 --> 01:30:56,840
Speaker 1: on the Dan o'donald Show.

1434
01:30:58,200 --> 01:31:00,800
Speaker 7: Yes, Dan, I have a I'm just a bone to

1435
01:31:00,840 --> 01:31:04,480
Speaker 7: pick with you when you talk about that Jeffrey Epstein.

1436
01:31:04,560 --> 01:31:07,360
Speaker 7: The men that were there, you keep calling them pedophiles,

1437
01:31:07,360 --> 01:31:10,960
Speaker 7: They're not pedophiles. A pedophile, which you should know. This

1438
01:31:11,920 --> 01:31:17,240
Speaker 7: is somebody who is with a preprevesent kid, and these

1439
01:31:17,280 --> 01:31:21,120
Speaker 7: men aren't. They're with a sixteen year olds, seventeen year olds,

1440
01:31:21,560 --> 01:31:30,559
Speaker 7: and so what would you call them? I would call

1441
01:31:30,600 --> 01:31:35,520
Speaker 7: them what they are rape under a drapist. I mean, basically,

1442
01:31:35,600 --> 01:31:38,840
Speaker 7: because I was molested as a young child, and there's

1443
01:31:38,920 --> 01:31:40,040
Speaker 7: a big difference.

1444
01:31:40,200 --> 01:31:44,439
Speaker 1: Oh okay, I was like that, Thank you for sort

1445
01:31:44,439 --> 01:31:49,720
Speaker 1: of clarifying that, because yes, okay, I understand what you're

1446
01:31:49,760 --> 01:31:53,480
Speaker 1: saying now. It sounds like a distinction without a difference.

1447
01:31:53,560 --> 01:31:57,559
Speaker 1: And to be clear, the only person that we know

1448
01:31:58,040 --> 01:32:03,760
Speaker 1: who was trafficking underage girls was Jeffrey Epstein. Now, functionally,

1449
01:32:04,080 --> 01:32:06,439
Speaker 1: in the eyes of the law, there there really isn't

1450
01:32:06,479 --> 01:32:09,360
Speaker 1: a whole lot of difference. If you are raping a

1451
01:32:09,439 --> 01:32:13,680
Speaker 1: sixteen year old or raping a nine year old, you

1452
01:32:13,760 --> 01:32:17,599
Speaker 1: are guilty of the same offense. I see what you're saying,

1453
01:32:17,640 --> 01:32:18,840
Speaker 1: there is a big.

1454
01:32:19,560 --> 01:32:23,760
Speaker 7: Young child, I had no defense against it, or a

1455
01:32:23,840 --> 01:32:26,360
Speaker 7: sixteen year old west has some kind of events kick

1456
01:32:26,439 --> 01:32:27,360
Speaker 7: them in, you know what.

1457
01:32:27,600 --> 01:32:31,920
Speaker 1: Yeah, but you sort of you sort of get in

1458
01:32:32,040 --> 01:32:36,360
Speaker 1: trouble will when you start talking about well, you know,

1459
01:32:36,560 --> 01:32:39,840
Speaker 1: she was sixteen and you know she shouldn't know. It's

1460
01:32:39,840 --> 01:32:44,880
Speaker 1: still a crime. And respectfully, you know, I don't know

1461
01:32:44,920 --> 01:32:50,360
Speaker 1: your situation obviously, but you're still it's still pedophilia, you know. Regardless,

1462
01:32:51,080 --> 01:32:55,000
Speaker 1: it's still disgusting. It's still one of the most serious

1463
01:32:55,040 --> 01:32:59,600
Speaker 1: crimes that we have in American society. And just to

1464
01:32:59,640 --> 01:33:01,240
Speaker 1: be clear, I think I've been one of the few

1465
01:33:01,360 --> 01:33:04,000
Speaker 1: who has said, look, there isn't a whole lot of

1466
01:33:04,040 --> 01:33:09,679
Speaker 1: evidence that anyone has engaged in underage sex crimes other

1467
01:33:09,720 --> 01:33:12,880
Speaker 1: than Jeffrey Epstein, and other than Julne Maxwell, who was

1468
01:33:13,080 --> 01:33:18,240
Speaker 1: trafficking victims for Epstein. Let's go to Paul and Racine

1469
01:33:18,320 --> 01:33:20,880
Speaker 1: up next on talk radio Roulette.

1470
01:33:21,200 --> 01:33:26,439
Speaker 3: Hey Dan, A couple things. Number One, I want to

1471
01:33:26,479 --> 01:33:31,720
Speaker 3: applaud you for having the RNC chair and then the

1472
01:33:31,760 --> 01:33:35,040
Speaker 3: Wisconsin RNC chair on over the last couple of days

1473
01:33:35,720 --> 01:33:40,000
Speaker 3: and trying to kind of shit the momentum of this

1474
01:33:40,200 --> 01:33:44,440
Speaker 3: fada complee of yeah, just getting demolished in the midterms.

1475
01:33:45,000 --> 01:33:49,600
Speaker 3: I think there is an opportunity to really surprise everybody

1476
01:33:49,640 --> 01:33:53,719
Speaker 3: on that. But one thing that I didn't hear from

1477
01:33:53,800 --> 01:33:59,519
Speaker 3: either of those gentlemen was the involvement or what's going

1478
01:33:59,560 --> 01:34:03,759
Speaker 3: on with Burning Point USA. Can you share any insight

1479
01:34:03,880 --> 01:34:08,439
Speaker 3: onto that? And then, secondly, on a more lighter note,

1480
01:34:08,479 --> 01:34:11,320
Speaker 3: did you have to see Alex Hanold climb that building

1481
01:34:11,360 --> 01:34:12,000
Speaker 3: in Taiwan?

1482
01:34:12,960 --> 01:34:18,960
Speaker 1: I watched, okay, all right, Alex Hanold climbing the building? Yes,

1483
01:34:19,080 --> 01:34:22,160
Speaker 1: that was impressive. Did you ever watch Free Solo?

1484
01:34:23,400 --> 01:34:23,639
Speaker 6: Yes?

1485
01:34:24,320 --> 01:34:28,800
Speaker 1: That was probably about fifty thousand times more impressive. He

1486
01:34:28,960 --> 01:34:33,360
Speaker 1: scales l CAPI ten, which is basically what three twice

1487
01:34:33,400 --> 01:34:37,240
Speaker 1: as tall as the tower that he scaled on Netflix,

1488
01:34:37,760 --> 01:34:41,920
Speaker 1: and it's a sheer rock face and my brother in

1489
01:34:42,000 --> 01:34:44,360
Speaker 1: law for years we say, you guys got to watch

1490
01:34:44,400 --> 01:34:46,360
Speaker 1: this you guys got to watch this. It won the

1491
01:34:46,720 --> 01:34:50,080
Speaker 1: OSCAR in twenty seventeen, twenty eighteen something like that for

1492
01:34:50,120 --> 01:34:53,160
Speaker 1: Best Documentary and it is. It is absolutely worth it.

1493
01:34:53,640 --> 01:34:59,479
Speaker 1: The camera work is remarkable to get the shots of

1494
01:34:59,600 --> 01:35:02,800
Speaker 1: him climbing up this rock face and the way that

1495
01:35:03,479 --> 01:35:08,000
Speaker 1: you humanize him. And he's clearly got some issue. You're talking.

1496
01:35:08,040 --> 01:35:09,559
Speaker 1: I had a caller who said, would you go on

1497
01:35:09,600 --> 01:35:13,519
Speaker 1: the world's tallest roller coaster? Uh? Yeah, but I'd probably

1498
01:35:13,520 --> 01:35:16,320
Speaker 1: be a little scared. This guy has absolutely no fear.

1499
01:35:17,320 --> 01:35:21,439
Speaker 1: He climbs. He free solos. Free soloing is you do

1500
01:35:21,520 --> 01:35:25,160
Speaker 1: mountain climbing with absolutely no safety equipment, no ropes, no

1501
01:35:25,160 --> 01:35:29,080
Speaker 1: no anything. You make one mistake and you die. And

1502
01:35:29,080 --> 01:35:33,040
Speaker 1: and that's what he did live on Netflix. And yeah,

1503
01:35:33,080 --> 01:35:36,479
Speaker 1: it was just a truly amazing feat. Time enough for

1504
01:35:36,600 --> 01:35:40,320
Speaker 1: maybe a call or two more? Lets all it and

1505
01:35:40,479 --> 01:35:43,320
Speaker 1: it lands on Chuck in Wawato. So what's going on? Chuck?

1506
01:35:45,720 --> 01:35:45,920
Speaker 7: Hey?

1507
01:35:46,000 --> 01:35:51,479
Speaker 1: Damn, hey, thank you, thank you? Are you happy so far?

1508
01:35:52,520 --> 01:35:53,679
Speaker 1: What's your early ratings?

1509
01:35:55,479 --> 01:35:55,599
Speaker 5: Uh?

1510
01:35:55,880 --> 01:35:56,920
Speaker 1: Yeah, why wouldn't I be?

1511
01:35:59,640 --> 01:36:02,719
Speaker 5: Are they approaching Mark Belling type numbers?

1512
01:36:03,080 --> 01:36:07,000
Speaker 1: I gotta be real careful here, Chuck. We're actually not

1513
01:36:07,280 --> 01:36:12,280
Speaker 1: allowed to talk about this stuff publicly. Yeah, we are.

1514
01:36:12,479 --> 01:36:17,600
Speaker 1: We aren't everywhere we should be in every key demographic.

1515
01:36:18,160 --> 01:36:21,960
Speaker 1: I've got to be just very very very careful about

1516
01:36:22,200 --> 01:36:22,680
Speaker 1: asking that.

1517
01:36:22,880 --> 01:36:27,760
Speaker 7: I get completely So congratulations and you deserve it.

1518
01:36:27,880 --> 01:36:34,280
Speaker 1: Well, thank you so much. I will say this, yes, well,

1519
01:36:35,160 --> 01:36:40,600
Speaker 1: so what happened over the last boy two years almost

1520
01:36:40,920 --> 01:36:43,680
Speaker 1: and we can actually pinpoint it, ladies and gentlemen. We

1521
01:36:44,200 --> 01:36:49,080
Speaker 1: had on WISN radio with when the lineup was Jay

1522
01:36:49,120 --> 01:36:51,719
Speaker 1: and then me and then Clay and Buck, Vicky and Mark.

1523
01:36:53,400 --> 01:36:56,320
Speaker 1: We were not only in a presidential election cycle, but

1524
01:36:56,400 --> 01:37:00,320
Speaker 1: it was Saturday, July thirteenth, and I was at actually

1525
01:37:00,320 --> 01:37:03,400
Speaker 1: on vacation with my family at the Dells. I was

1526
01:37:03,479 --> 01:37:09,360
Speaker 1: sitting in a lazy river at a resort and I

1527
01:37:09,439 --> 01:37:13,960
Speaker 1: get out and I go on Twitter X and I see,

1528
01:37:14,040 --> 01:37:18,000
Speaker 1: oh my god, President Trump has just been shot. And

1529
01:37:18,040 --> 01:37:20,800
Speaker 1: it's sort of a running joke in my family that

1530
01:37:21,680 --> 01:37:27,479
Speaker 1: you know, Trump has been you know, I'll say something

1531
01:37:28,160 --> 01:37:30,280
Speaker 1: and it'll be like, oh my god, and it'll be

1532
01:37:30,320 --> 01:37:32,800
Speaker 1: something you know that's a big deal to me in politics,

1533
01:37:32,800 --> 01:37:37,000
Speaker 1: but the kids just don't even care, you know. But

1534
01:37:37,040 --> 01:37:40,360
Speaker 1: I said, oh my god, Donald Trump has just been shot,

1535
01:37:41,479 --> 01:37:44,799
Speaker 1: and everybody, like everybody around on all the different tables

1536
01:37:44,920 --> 01:37:48,720
Speaker 1: was like, oh my, I went and Dave Michaels and

1537
01:37:48,760 --> 01:37:54,080
Speaker 1: I did two three hours of just spontaneous live coverage.

1538
01:37:54,720 --> 01:37:58,840
Speaker 1: I was on a cell phone, and from that moment

1539
01:37:59,000 --> 01:38:03,719
Speaker 1: we could actually pinpoint. From that moment on straight through

1540
01:38:04,400 --> 01:38:07,880
Speaker 1: to the end of the election cycle, we had the

1541
01:38:07,960 --> 01:38:15,519
Speaker 1: highest ratings in the history of the Nielsen Audio Before

1542
01:38:15,560 --> 01:38:19,840
Speaker 1: that arbitron portable people meter earon the way you measure

1543
01:38:19,880 --> 01:38:22,559
Speaker 1: radio reagans, you get a little deeper device called a

1544
01:38:22,600 --> 01:38:25,559
Speaker 1: portable people meter, and we have the highest ratings of

1545
01:38:25,560 --> 01:38:28,519
Speaker 1: all time that any station had ever gotten. It was

1546
01:38:28,520 --> 01:38:31,760
Speaker 1: that moment because people were so engaged. They were so

1547
01:38:32,120 --> 01:38:36,519
Speaker 1: incredibly engaged. Well over the span of twenty twenty five,

1548
01:38:37,000 --> 01:38:41,160
Speaker 1: you always have a little pullback in the audience because

1549
01:38:41,439 --> 01:38:43,880
Speaker 1: obviously it's not an election year and people are just

1550
01:38:43,920 --> 01:38:47,719
Speaker 1: sort of worn out. Right Christmas comes right after the election.

1551
01:38:47,800 --> 01:38:51,320
Speaker 1: People are just relieved Trump is in there, and obviously

1552
01:38:51,360 --> 01:38:54,439
Speaker 1: there was a lot of interest. We had massive ratings

1553
01:38:55,160 --> 01:38:58,400
Speaker 1: ahead of the State Supreme Court race in April of

1554
01:38:58,439 --> 01:39:02,200
Speaker 1: twenty twenty five, but after that people were just I

1555
01:39:02,240 --> 01:39:05,479
Speaker 1: think done with politics. So there's sort of a cyclical nature.

1556
01:39:05,520 --> 01:39:09,400
Speaker 1: But yes, we we we are doing incredibly well ratings wise,

1557
01:39:09,400 --> 01:39:12,639
Speaker 1: and thank you so much for asking. We'll go last

1558
01:39:12,760 --> 01:39:17,839
Speaker 1: call to Scott listening to us in New Berlin. Scott,

1559
01:39:18,240 --> 01:39:20,720
Speaker 1: you are last up on Talk Radio Roulette. What's going on?

1560
01:39:22,120 --> 01:39:22,200
Speaker 8: Hi?

1561
01:39:22,280 --> 01:39:25,799
Speaker 13: Dan? Hey, can you tell the audience why your signal

1562
01:39:25,880 --> 01:39:28,760
Speaker 13: drops out like ten seconds to a minute or so

1563
01:39:29,040 --> 01:39:30,000
Speaker 13: almost every day?

1564
01:39:30,920 --> 01:39:33,520
Speaker 1: Yeah, that's I thought I explained that you.

1565
01:39:33,600 --> 01:39:35,640
Speaker 13: Yeah, no, not not the end of the day. This

1566
01:39:35,680 --> 01:39:38,320
Speaker 13: will happen. It's six in the morning, just you know,

1567
01:39:38,439 --> 01:39:39,000
Speaker 13: listening along.

1568
01:39:40,040 --> 01:39:43,280
Speaker 1: Yep, that's that's us powering up. Yep, that's us. That's

1569
01:39:43,360 --> 01:39:46,680
Speaker 1: us really, Yep, that's us. So it's probably is at

1570
01:39:46,680 --> 01:39:50,559
Speaker 1: the same time every day, give or take.

1571
01:39:50,680 --> 01:39:51,480
Speaker 13: Not necessarily.

1572
01:39:51,520 --> 01:39:53,240
Speaker 1: Not necessarily, Okay, sometimes.

1573
01:39:52,960 --> 01:39:54,160
Speaker 13: It happens in the middle of the day.

1574
01:39:55,640 --> 01:39:59,400
Speaker 1: Well that I don't know that honestly. What what that

1575
01:39:59,560 --> 01:40:02,920
Speaker 1: sounds like is us powering up? I will admit it

1576
01:40:03,040 --> 01:40:07,240
Speaker 1: might be something else. It might be just random signal interference, Scott.

1577
01:40:07,560 --> 01:40:12,160
Speaker 1: But that's a good question. Hey. Always appreciate talking to

1578
01:40:12,200 --> 01:40:14,559
Speaker 1: you folks. I love this segment Talk Radio Rolette. We'll

1579
01:40:14,560 --> 01:40:17,439
Speaker 1: talk some super Bowl next. Welcome back to the Dan

1580
01:40:17,479 --> 01:40:23,840
Speaker 1: o'donald show conservative thought, not just talk. Looks like we

1581
01:40:23,920 --> 01:40:27,280
Speaker 1: had our Danocam bump out for a second there, So

1582
01:40:27,320 --> 01:40:30,519
Speaker 1: I do apologize for those of you watching us online

1583
01:40:30,600 --> 01:40:36,280
Speaker 1: not sure exactly what's going on. Super Bowl sixty is

1584
01:40:36,640 --> 01:40:40,559
Speaker 1: this weekend. Of course, it is the Seattle Seahawks and

1585
01:40:40,640 --> 01:40:45,559
Speaker 1: the New England Patriots. And producer Doug is a sports guy,

1586
01:40:45,600 --> 01:40:49,280
Speaker 1: so I know he is all over this. He's as

1587
01:40:49,320 --> 01:40:54,360
Speaker 1: excited as can be. I'm not sensing a whole lot

1588
01:40:54,360 --> 01:40:57,760
Speaker 1: of excitement, Doug. Are you actually excited for this Super

1589
01:40:57,760 --> 01:41:02,920
Speaker 1: Bowl matchup? Not really, but I think that you know,

1590
01:41:03,000 --> 01:41:05,760
Speaker 1: they earned their their spot there and made the best

1591
01:41:05,760 --> 01:41:10,080
Speaker 1: team win. Right, They earned their spot there, made the

1592
01:41:10,160 --> 01:41:14,000
Speaker 1: best team win. That is the ultimate. I'm gonna watch it,

1593
01:41:14,080 --> 01:41:18,000
Speaker 1: but it's not fantastic pretty much. Yeah, yeah, I'll watch it. Yeah,

1594
01:41:18,360 --> 01:41:21,080
Speaker 1: I mean it's it's gonna be fun. Seattle is favored

1595
01:41:21,080 --> 01:41:24,200
Speaker 1: by four and a half. Over under is forty five

1596
01:41:24,439 --> 01:41:29,160
Speaker 1: and a half. I think the popular pick is Seattle

1597
01:41:29,280 --> 01:41:33,280
Speaker 1: because the strength of scheduled disparity is just so great.

1598
01:41:33,360 --> 01:41:36,600
Speaker 1: And then you take a look at what Seattle was

1599
01:41:36,640 --> 01:41:39,000
Speaker 1: able to do to the San Francisco forty nine ers,

1600
01:41:39,000 --> 01:41:41,519
Speaker 1: who were red hot heading into the playoffs in the

1601
01:41:41,520 --> 01:41:45,760
Speaker 1: divisional round. They just smoked them. And New England they

1602
01:41:46,160 --> 01:41:49,519
Speaker 1: they had to beat up on Jarrett Stidham because of

1603
01:41:49,560 --> 01:41:53,559
Speaker 1: the truly unfortunate injury to Bo Nix of the Denver

1604
01:41:53,600 --> 01:41:57,680
Speaker 1: Broncos in the AFC Championship. It just seems like New

1605
01:41:57,720 --> 01:42:02,240
Speaker 1: England has been playing on borrowed time for quite some time.

1606
01:42:02,400 --> 01:42:09,640
Speaker 1: So some of these prop bets. Though I love coin toss, obviously,

1607
01:42:09,760 --> 01:42:13,799
Speaker 1: this is an easy one. Heads or tails tales never fails.

1608
01:42:13,840 --> 01:42:15,880
Speaker 1: You always go with tails for the prop bet. There

1609
01:42:16,560 --> 01:42:20,839
Speaker 1: will the national anthem be over or under one hundred

1610
01:42:20,920 --> 01:42:27,280
Speaker 1: and twenty point five seconds? Now, this is interesting. Do

1611
01:42:27,320 --> 01:42:29,600
Speaker 1: you know who the national anthem singer is? It is

1612
01:42:29,640 --> 01:42:33,639
Speaker 1: going to be Charlie Pooth, international pop star. I assume

1613
01:42:33,640 --> 01:42:36,880
Speaker 1: he's from the Bay Area. That's usually how they do it,

1614
01:42:37,560 --> 01:42:42,120
Speaker 1: and I am generally of the belief that the anthem

1615
01:42:42,160 --> 01:42:46,120
Speaker 1: will almost always go over. This one seems like a

1616
01:42:46,200 --> 01:42:52,000
Speaker 1: long over under. Generally, I like those minute fifty. It

1617
01:42:52,479 --> 01:42:55,280
Speaker 1: all has to do with how long they hold the

1618
01:42:55,360 --> 01:43:01,080
Speaker 1: last note. Here's one Jersey number of the first touchdown

1619
01:43:01,240 --> 01:43:04,479
Speaker 1: scorer over ten and a half or under ten and

1620
01:43:04,560 --> 01:43:07,160
Speaker 1: a half this one, I think you've got to go

1621
01:43:07,280 --> 01:43:10,800
Speaker 1: over ten and a half because there's just way more

1622
01:43:10,840 --> 01:43:17,200
Speaker 1: players who potentially could be there. And also, if you're

1623
01:43:17,280 --> 01:43:21,320
Speaker 1: throwing to anyone, wide receivers typically have numbers in the eighties.

1624
01:43:21,360 --> 01:43:26,800
Speaker 1: Same thing with tight ends. Will a non quarterback make

1625
01:43:26,840 --> 01:43:29,360
Speaker 1: a pass attempt? Yes? Or no? Will there be a

1626
01:43:29,439 --> 01:43:34,520
Speaker 1: flea flicker? Which coach will be shown first on television?

1627
01:43:34,840 --> 01:43:37,479
Speaker 1: Mike McDonald of the Seahawks or Mike Rabel. I think

1628
01:43:37,560 --> 01:43:39,160
Speaker 1: that one's a no brainer too. I think it's going

1629
01:43:39,200 --> 01:43:41,680
Speaker 1: to be Mike Vrabel, and I think you're gonna see

1630
01:43:41,720 --> 01:43:44,639
Speaker 1: him standing stoically with his hand over his heart during

1631
01:43:44,640 --> 01:43:51,000
Speaker 1: the national anthem. Who will Bad Bunny bring out at halftime?

1632
01:43:52,360 --> 01:43:55,679
Speaker 1: Now that's an interesting question. Here's one. Will Bad Bunny

1633
01:43:55,800 --> 01:44:00,160
Speaker 1: actually wear a dress? This has been a rumor for

1634
01:44:00,560 --> 01:44:03,559
Speaker 1: the past well pretty much since they announced Bad Bunny,

1635
01:44:03,560 --> 01:44:08,439
Speaker 1: and over the past couple of weeks, the fear is

1636
01:44:08,439 --> 01:44:10,679
Speaker 1: that he's going to come out and perform and address.

1637
01:44:10,840 --> 01:44:16,400
Speaker 1: I'm not sure I necessarily believe that he's going to.

1638
01:44:18,080 --> 01:44:21,000
Speaker 1: And yes, we are going to simultaneously have the Great

1639
01:44:21,000 --> 01:44:25,040
Speaker 1: American halftime show as well as the actual You gotta

1640
01:44:25,080 --> 01:44:28,240
Speaker 1: watch that halftime. Frankly, folks, I have to watch all

1641
01:44:28,280 --> 01:44:30,720
Speaker 1: of this stuff to be prepared to talk about it

1642
01:44:30,760 --> 01:44:35,280
Speaker 1: in case, you know, something big happens. As far as

1643
01:44:35,320 --> 01:44:39,200
Speaker 1: the actual game, I think the Seattle Seahawks are just

1644
01:44:39,280 --> 01:44:41,280
Speaker 1: the better team. They've looked like the best team in

1645
01:44:41,320 --> 01:44:44,240
Speaker 1: football all year long. And frankly, I'm rooting for Sam

1646
01:44:44,320 --> 01:44:49,120
Speaker 1: Darnold because I absolutely love a comeback story like his.

1647
01:44:49,479 --> 01:44:51,639
Speaker 1: They give up on him with the New York Jets,

1648
01:44:51,640 --> 01:44:53,920
Speaker 1: they give up on him with the Carolina Panthers. He

1649
01:44:54,000 --> 01:44:57,599
Speaker 1: goes fourteen and three throws for like forty six hundred yards,

1650
01:44:57,600 --> 01:45:01,120
Speaker 1: and they give up on him in Minnesota, and now

1651
01:45:01,360 --> 01:45:03,839
Speaker 1: he has the chance to be a Super Bowl champion.

1652
01:45:04,240 --> 01:45:07,800
Speaker 1: How bizarre? What in God's name are they doing to

1653
01:45:07,880 --> 01:45:10,639
Speaker 1: their you know what's in the Olympics ski jumping. We'll

1654
01:45:10,680 --> 01:45:15,800
Speaker 1: find out that segment next. Welcome back to it. Time

1655
01:45:15,880 --> 01:45:18,759
Speaker 1: now to take a break from the serious and instead

1656
01:45:18,800 --> 01:45:22,160
Speaker 1: focus on the silly, the strange, the stories that make

1657
01:45:22,320 --> 01:45:28,920
Speaker 1: us scratch our heads and say how bad? How Bazan

1658
01:45:29,560 --> 01:45:35,559
Speaker 1: doesn't get much stranger than this Olympic scandal ahead of

1659
01:45:35,800 --> 01:45:38,920
Speaker 1: this week, Today is opening ceremony at the Winter Olympics

1660
01:45:39,000 --> 01:45:45,040
Speaker 1: in Milan, the World Anti Doping Agency is addressing claims

1661
01:45:45,080 --> 01:45:50,639
Speaker 1: originating from a German tabloid that male skiers have been

1662
01:45:50,840 --> 01:45:59,200
Speaker 1: injecting themselves with hyluronic acid in their male parts to

1663
01:45:59,360 --> 01:46:05,960
Speaker 1: gain an f athletic advantage in competition. Crotch size manipulation

1664
01:46:06,800 --> 01:46:11,560
Speaker 1: is apparently something utilized as a benefit in the aerodynamic scope,

1665
01:46:11,960 --> 01:46:15,680
Speaker 1: so that three D scan measurements used to assess athletes

1666
01:46:15,840 --> 01:46:19,120
Speaker 1: suit sizes would be larger than normal. This, according to

1667
01:46:19,160 --> 01:46:22,880
Speaker 1: the German newspaper built. The paper claimed athletes were putting

1668
01:46:22,880 --> 01:46:29,240
Speaker 1: the asset into their male parts for enhancement in ski

1669
01:46:29,439 --> 01:46:34,840
Speaker 1: jumping events. Suit size in this case larger is continued

1670
01:46:35,200 --> 01:46:42,880
Speaker 1: considered an advantage well. WADA Director General Olivier Nighli said,

1671
01:46:42,960 --> 01:46:45,240
Speaker 1: I am not aware of the details of ski jumping

1672
01:46:45,280 --> 01:46:49,080
Speaker 1: and how that could improve performance. Press conference this week

1673
01:46:49,400 --> 01:46:52,000
Speaker 1: was held ahead of the Games. He said, if anything

1674
01:46:52,120 --> 01:46:54,200
Speaker 1: was to come to the surface, we would look at

1675
01:46:54,200 --> 01:46:56,400
Speaker 1: it and see if it is doping related. We don't

1676
01:46:56,400 --> 01:47:00,799
Speaker 1: address other non doping means of enhancing performance. Now suits

1677
01:47:00,920 --> 01:47:03,920
Speaker 1: must conform to an athlete's body and are fitted before

1678
01:47:03,920 --> 01:47:09,400
Speaker 1: the start of every jumping season. Sandro Pertile, race director

1679
01:47:09,439 --> 01:47:12,920
Speaker 1: for the International Ski and Snowboard Federation said in twenty

1680
01:47:13,000 --> 01:47:16,280
Speaker 1: twenty four every extra centimeter on a suit counts. If

1681
01:47:16,320 --> 01:47:20,880
Speaker 1: your suit has a five percent bigger surface area, you

1682
01:47:21,080 --> 01:47:27,040
Speaker 1: fly further now. Last August, two Olympic gold medalist ski

1683
01:47:27,160 --> 01:47:30,320
Speaker 1: jumpers and three staffers on the Norway wet men's team

1684
01:47:30,680 --> 01:47:35,839
Speaker 1: were charged with ethics violations after quote equipment manipulation, following

1685
01:47:35,880 --> 01:47:39,400
Speaker 1: an investigation stemming from an incident in March. The Norwegian

1686
01:47:39,439 --> 01:47:42,600
Speaker 1: team was reportedly caught on video adding stitching into the

1687
01:47:42,640 --> 01:47:46,240
Speaker 1: crotch area of their suits to make them bigger and

1688
01:47:46,320 --> 01:47:54,200
Speaker 1: thus more aerodynamic during competition. Okay, so that's one way

1689
01:47:54,439 --> 01:47:59,840
Speaker 1: of making your suit bigger, but injecting your man who

1690
01:48:00,000 --> 01:48:05,240
Speaker 1: good with acid? I don't know if I've ever wanted

1691
01:48:05,280 --> 01:48:13,280
Speaker 1: to win anything that badly in my life Palada. Then again,

1692
01:48:13,360 --> 01:48:16,760
Speaker 1: that's probably why I'm not an Olympic champion, because I'm

1693
01:48:16,760 --> 01:48:19,439
Speaker 1: not willing to go the extra mile, or in this case,

1694
01:48:19,800 --> 01:48:20,760
Speaker 1: the extra.

1695
01:48:22,000 --> 01:48:22,200
Speaker 13: Inch.

1696
01:48:23,600 --> 01:48:29,680
Speaker 1: Police in Dane County have captured a Cereal pooper in

1697
01:48:29,760 --> 01:48:33,599
Speaker 1: a city park in Stoughton. Police there said residents found

1698
01:48:33,680 --> 01:48:37,240
Speaker 1: human feces and used toilet paper in a city park.

1699
01:48:37,640 --> 01:48:41,800
Speaker 1: Police used trail cameras and a drone to identify and

1700
01:48:41,960 --> 01:48:47,280
Speaker 1: cite the person responsible. According to a Facebook post, police

1701
01:48:47,439 --> 01:48:51,120
Speaker 1: set a drone operator monitoring a city park captured the

1702
01:48:51,280 --> 01:48:55,439
Speaker 1: forty six year old woman defecating in a park Thursday morning.

1703
01:48:55,920 --> 01:49:01,400
Speaker 1: Police sighted the woman, who is from Stoughton, for indecent conduct. Now, police,

1704
01:49:01,479 --> 01:49:04,559
Speaker 1: and this is sort of the weirdest part, said, the

1705
01:49:04,600 --> 01:49:09,719
Speaker 1: woman is not homeless. I would have assumed that, Okay,

1706
01:49:09,880 --> 01:49:12,559
Speaker 1: you know, hey, everybody is making a big deal out

1707
01:49:12,600 --> 01:49:15,000
Speaker 1: of this, and oh it's funny, it's you know, it's well,

1708
01:49:15,040 --> 01:49:19,400
Speaker 1: it's probably a homeless lady. No, she's not homeless. She

1709
01:49:19,640 --> 01:49:23,639
Speaker 1: just enjoys, apparently that spot. What is she like marking

1710
01:49:23,680 --> 01:49:27,360
Speaker 1: her territory? Ladies and gentlemen, this has been your strangest

1711
01:49:27,360 --> 01:49:29,800
Speaker 1: stories of the past seven days. Here on the Dan

1712
01:49:29,840 --> 01:49:36,000
Speaker 1: O'Donnell Show. In a little segment we call how Howbazan

1713
01:49:39,000 --> 01:49:44,599
Speaker 1: Winter Olympics open up in Milan? It is Milan and

1714
01:49:44,840 --> 01:49:51,599
Speaker 1: Cortina opening ceremony was very very nice. Do we know, Doug,

1715
01:49:51,760 --> 01:49:54,800
Speaker 1: are they going to be replaying that in primetime? Do

1716
01:49:54,880 --> 01:49:57,280
Speaker 1: they still do that? I would I would have to assume, right,

1717
01:49:57,320 --> 01:50:01,280
Speaker 1: at least the highlights. Yeah, we we don't know for sure,

1718
01:50:03,760 --> 01:50:08,000
Speaker 1: easily Okay, this the Winter Olympics. I love the Winter

1719
01:50:08,040 --> 01:50:12,720
Speaker 1: Olympics because it is the number one time that I

1720
01:50:12,800 --> 01:50:17,400
Speaker 1: can disprove every claim that has ever been made by

1721
01:50:17,400 --> 01:50:22,200
Speaker 1: the WNBA or the women's soccer team that they should

1722
01:50:22,200 --> 01:50:26,960
Speaker 1: be paid every bit as much as the men. It

1723
01:50:26,960 --> 01:50:30,360
Speaker 1: has nothing to do with gender. It has everything to

1724
01:50:30,400 --> 01:50:32,519
Speaker 1: do with how much revenue is generating. Do you know

1725
01:50:32,560 --> 01:50:35,720
Speaker 1: how I can use the Winter Olympics to prove this?

1726
01:50:36,920 --> 01:50:41,720
Speaker 1: Because I want you to name, outside of Brian Boitano,

1727
01:50:42,040 --> 01:50:44,920
Speaker 1: who is probably made most famous by the song what

1728
01:50:44,960 --> 01:50:50,040
Speaker 1: would Brian Boitano do in South Park, name a male

1729
01:50:50,320 --> 01:50:55,960
Speaker 1: figure skater that anybody has ever wanted to watch. I

1730
01:50:56,040 --> 01:51:00,000
Speaker 1: can still name figure skaters from when I was growing up,

1731
01:51:00,080 --> 01:51:02,760
Speaker 1: but not just Tanya Harding and Nancy Kerrigan because of

1732
01:51:02,760 --> 01:51:06,720
Speaker 1: the big scandal thirty some years ago. But like Christi Yamagucci,

1733
01:51:07,040 --> 01:51:15,519
Speaker 1: who didn't love Christi Yamagucci? Right? Can anybody name the

1734
01:51:15,680 --> 01:51:17,200
Speaker 1: top male figure skater?

1735
01:51:17,479 --> 01:51:17,639
Speaker 8: No?

1736
01:51:19,200 --> 01:51:23,559
Speaker 1: These ladies? Like I remember a few years back there

1737
01:51:23,680 --> 01:51:26,639
Speaker 1: was a figure skater by the name of Gracie Gold,

1738
01:51:26,960 --> 01:51:30,439
Speaker 1: and I remember her because a she's got the name

1739
01:51:30,600 --> 01:51:37,200
Speaker 1: Gold and also Our daughter is named Gracie. Did she No,

1740
01:51:37,520 --> 01:51:39,880
Speaker 1: I don't think she had. She never won gold. Ironically enough,

1741
01:51:39,920 --> 01:51:43,960
Speaker 1: I think she won bronze. But everybody cares about the

1742
01:51:44,000 --> 01:51:47,200
Speaker 1: women's figure skating if there is, if there is, what

1743
01:51:47,400 --> 01:51:50,120
Speaker 1: the one sport my wife is going to watch in

1744
01:51:50,160 --> 01:51:55,200
Speaker 1: the Winter Olympics is figure skating. I love the Winter

1745
01:51:55,280 --> 01:51:59,920
Speaker 1: Olympics because you can tell half of these sports were

1746
01:52:00,240 --> 01:52:06,479
Speaker 1: just invented by some drunk Norwegian. It's like, dude, no, not.

1747
01:52:06,520 --> 01:52:09,920
Speaker 1: The biathle, like the biathlon is like how people would

1748
01:52:09,960 --> 01:52:13,439
Speaker 1: survive back then. Yeah, you would ski. You would go

1749
01:52:13,479 --> 01:52:15,719
Speaker 1: out and ski and you'd you know, shoot a bear

1750
01:52:15,920 --> 01:52:18,559
Speaker 1: or something like that, and you'd ski back with the meat.

1751
01:52:18,680 --> 01:52:21,440
Speaker 1: I can see biathletes. No, I'm talking about the skeleton.

1752
01:52:22,600 --> 01:52:26,960
Speaker 1: It's like just two dudes lying on top of each

1753
01:52:27,040 --> 01:52:31,000
Speaker 1: other on something the size of about a figure skate.

1754
01:52:32,400 --> 01:52:36,759
Speaker 1: That is that is it sounds like it was invented

1755
01:52:36,760 --> 01:52:41,360
Speaker 1: on Jeffrey Epstein's island quite frankly, but it's just it's

1756
01:52:41,439 --> 01:52:44,200
Speaker 1: so wild you can't believe it's a sport. Like bob sled.

1757
01:52:44,760 --> 01:52:48,800
Speaker 1: Bob sled, you know what that was. That was a

1758
01:52:48,840 --> 01:52:52,120
Speaker 1: bunch of dudes hopping on the tobi. They were all

1759
01:52:52,160 --> 01:52:56,920
Speaker 1: going sledding and a bunch of them jumped on the toboggan,

1760
01:52:58,040 --> 01:53:01,559
Speaker 1: half in the bag, and two groups of dudes raced

1761
01:53:01,560 --> 01:53:05,799
Speaker 1: each other down the hill, and thus the toboggan was born. Luge.

1762
01:53:05,960 --> 01:53:09,120
Speaker 1: I have absolutely no idea go one hundred and fifty

1763
01:53:09,160 --> 01:53:13,040
Speaker 1: miles an hour, completely and totally exposed, and if you

1764
01:53:13,120 --> 01:53:17,320
Speaker 1: go off the track you are pretty much dead. But no,

1765
01:53:17,360 --> 01:53:21,519
Speaker 1: I love speed skating. Jordan Spoltz is going to become

1766
01:53:21,960 --> 01:53:25,639
Speaker 1: as much of a household name as He's from Southeast

1767
01:53:25,680 --> 01:53:32,439
Speaker 1: wiscons He's from Pewaukee. He's from some I feel like

1768
01:53:32,479 --> 01:53:34,280
Speaker 1: I should know this. I knew I needed to do

1769
01:53:34,360 --> 01:53:37,040
Speaker 1: more of my Homer. He's twenty one years old and

1770
01:53:37,360 --> 01:53:41,160
Speaker 1: he is absolutely He's from West Bend. He's from West Bend.

1771
01:53:41,720 --> 01:53:48,000
Speaker 1: He is easily the best long track speed skater today.

1772
01:53:49,080 --> 01:53:53,639
Speaker 1: He is the reigning world champion at five hundred meters.

1773
01:53:53,640 --> 01:53:56,480
Speaker 1: He was the youngest guy ever to win a world championship.

1774
01:53:57,560 --> 01:54:00,120
Speaker 1: All eyes are going to be on him and and

1775
01:54:00,320 --> 01:54:02,800
Speaker 1: he is going to do us all proud. Lindsay Vaughn

1776
01:54:02,920 --> 01:54:05,880
Speaker 1: is a huge story. She just tore her acl. She's

1777
01:54:05,960 --> 01:54:09,080
Speaker 1: going to still compete I love the Winter Olympics. Man

1778
01:54:09,240 --> 01:54:12,040
Speaker 1: enjoy the weekend Wisconsin back Monday afternoon here on The

1779
01:54:12,080 --> 01:54:13,040
Speaker 1: Dan O'Donnell Show.