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Speaker 1: News Radio seven hundred WLW Mike Gallon and Saturday midday,

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Speaker 1: A cold Saturday morning.

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Speaker 2: I'm used to this.

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Speaker 3: Well.

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Speaker 1: I hope everyone had a great Thanksgiving. I know I

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Speaker 1: did eight too much. Maybe he had a few German waters,

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Speaker 1: but hey, I wasn't driving, so who cares. But on

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Speaker 1: a serious note, a sad, sad day on Wednesday of

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Speaker 1: this week, of course, that was the day that two

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Speaker 1: West Virginia National Guard members. One, interestingly enough, was an

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Speaker 1: Airman Air Force member, that's Air Force staff Sergeant Andrew Wolfe,

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Speaker 1: apparently attached to this National Guard unit West Virginia, and

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Speaker 1: the decedent, the young lady, passed away and Sergeant wolf

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Speaker 1: is fighting for his life and so far, so good,

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Speaker 1: but apparently it's very serious with him. The young lady,

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Speaker 1: twenty years old Army specialist, Sarah Beckstrom. She died from

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Speaker 1: her injuries on Thursday. Her father was on TV yesterday

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Speaker 1: and obviously it's just indescribable the grief that a father

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Speaker 1: would have about that. So we're keeping our hearts open

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Speaker 1: and our prayers going for Steph Sergeant wolf and hopefully

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Speaker 1: he pulls through. But you know, so many of these

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Speaker 1: things they're avoidable or should have been avoidable. This didn't

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Speaker 1: need to happen. It just didn't need to happen. And

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Speaker 1: I'm sorry, once again, thank you Biden administration. This young lady,

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Speaker 1: this twenty year old who, by the way, one of

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Speaker 1: the stories I saw said that she said, hey, look,

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Speaker 1: I'm twenty, I'm single. I will go in somebody's place

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Speaker 1: because the other person probably has a family.

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Speaker 2: That's kind of person this young lady was.

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Speaker 1: But again, Biden administration didn't need to happen. It happened

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Speaker 1: because of the gross negligence of said Biden administration.

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Speaker 2: We all remember it.

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Speaker 1: I watched it with just utter shock and horror that

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Speaker 1: pull out from Afghanistan that the whole world saw. And

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Speaker 1: you know what, it's kind of funny after that, that's

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Speaker 1: when other countries started challenging us. They let all these

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Speaker 1: people in. I don't know, you hear any number of

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Speaker 1: different numbers. Thousands. I heard one twenty thousand Afghan nationals

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Speaker 1: were let in, supposedly because they thought they would be

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Speaker 1: under some kind of fear or death sentence in the

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Speaker 1: new administration.

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Speaker 2: So we let them in.

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Speaker 1: We let them in, and I get it if they

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Speaker 1: truly helped Americans truly, then I think we do have

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Speaker 1: an obligation to let them in, provided we can properly

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Speaker 1: document them and screen them first.

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Speaker 2: Well that didn't happen. They were not vetted.

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Speaker 1: This guy and I'm gonna mispronounce his name, but I

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Speaker 1: couldn't care less.

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Speaker 2: They don't like these people.

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Speaker 1: Ramadulla Lochandhal twenty nine years of age, and you know,

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Speaker 1: looking for a motive, and I've been following the news

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Speaker 1: on that as far as a motive goes. One of

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Speaker 1: the soldiers, I don't know if it was a deceased

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Speaker 1: one or before he died or she died, I'm sorry,

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Speaker 1: or staff sergeant Wolf, but one of them reported that

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Speaker 1: upon shooting and in the process of this, this piece

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Speaker 1: of garbage, this piece of human filth uttered akbar. So

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Speaker 1: you know what, if you're looking for a motive, just

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Speaker 1: stop there. You don't have to go any further at all.

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Speaker 1: And once again, completely completely and totally avoidable.

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Speaker 2: If we see this over and over and over again.

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Speaker 1: And you know the thing about Biden, which is just

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Speaker 1: it's still mind boggling. There are people, notably tops on

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Speaker 1: the hit Parade doctor Jill, who thought that this man

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Speaker 1: could serve another four years in office. That's the true

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Speaker 1: scandal of the whole thing. You know, she got all

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Speaker 1: wrapped up in the trappings of being first lady is

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Speaker 1: Come on, Joe, you can do it for another four

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Speaker 1: years while the country continued to suffer. Thank god, thank god,

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Speaker 1: thank god, that did not happen.

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Speaker 2: That didn't happen.

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Speaker 1: Well, you know, I'm sure you've seen on Fox retired

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Speaker 1: special agent FBI special agent Nicole Parker. She has been

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Speaker 1: all over this stuff as far as the lack of

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Speaker 1: vetting and that type of thing. She told Fox News

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Speaker 1: Digital that the screening process during the Rush twenty twenty

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Speaker 1: one withdrawal was essentially, and I'm quoting her here, a

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Speaker 1: free for all, and that's probably being charitable.

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Speaker 2: Story goes on.

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Speaker 1: Tens of thousands of Afghans were evacuated to the US

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Speaker 1: in the wake of the withdrawal and subsequent Taliban takeover

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Speaker 1: of the country. The chaotic nature of the operation raised

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Speaker 1: concerns at the time for Republicans, again, Republicans being the

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Speaker 1: ones that were not asleep at the switch, and official

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Speaker 1: and in official reports that some evacuees were not properly

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Speaker 1: vetted and could could and that could have catastrophic consequences.

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Speaker 2: Do you think well, anyway?

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Speaker 1: Retired Special Agent Parker went on to say, they said

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Speaker 1: it's a ticking time bomb waiting to explode because we've

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Speaker 1: just allowed all these people into our country. You know again,

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Speaker 1: you think well? Josh Hawley, as usual, was all over it.

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Speaker 1: He revealed that a whistleblower said three hundred and twenty

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Speaker 1: four individuals had entered the country with what they're referring

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Speaker 1: to as derogatory information. Can't be good, obviously, While a

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Speaker 1: twenty twenty two report by the Department of Homeland Securities

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Speaker 1: Office of the IG Inspector General separately found the Department

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Speaker 1: failed to properly that evacuees entering the US creating a

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Speaker 1: potential national security risk. Do you think I mean, it

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Speaker 1: doesn't take Einstein to figure out that that would be

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Speaker 1: a problem.

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Speaker 2: I'll say it again.

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Speaker 1: If these people truly have the United States of America

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Speaker 1: to their detriment, putting them at risk of payback from

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Speaker 1: the Taliban, we should have helped them. But by God,

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Speaker 1: we should have vetted them too, And apparently literally no

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Speaker 1: or very little vetting took place. Well again, retired Specially

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Speaker 1: Agent Parker goes on to say there were individuals, there

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Speaker 1: were individuals that were not being recommended to come to

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Speaker 1: the United States, yet they were being overridden by the

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Speaker 1: Biden State Department. Initially it was a free for all

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Speaker 1: and no one was being vetted.

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Speaker 2: It's just to see this stuff.

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Speaker 1: It still makes me sick and it brings me back

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Speaker 1: watching that that bungled pull out. In addition to the

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Speaker 1: lives that were lost, and I think it was at

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Speaker 1: the time at least eighteen American service members were killed

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Speaker 1: during that thing. Million not millions, billions of dollars worth

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Speaker 1: of military equipment left behind, hum v's weapons, helicopters, even

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Speaker 1: and you know the thing of it is, people are well, Mike,

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Speaker 1: Donald Trump said he was going to pull out too,

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Speaker 1: and he did, and he did. But by god, I

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Speaker 1: know for a fact that there is no way that

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Speaker 1: that pullout would have came like it did under Biden

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Speaker 1: if it would have been Donald Trump.

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Speaker 2: Well, there's a.

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Speaker 1: Guy by the name of Jason Pack. He's the chief

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Speaker 1: executive officer at an outfit called Media Rep Global Strategies.

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Speaker 1: It's a PR and crisis communications firm. He told Fox

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Speaker 1: News that it was a massive humanitarian operation true attempted

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Speaker 1: I guess humanitarian operation, but it also carried unavoidable risks. Well,

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Speaker 1: you know what, I'm sorry, I respectfully disagree with mister Pack.

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Speaker 2: It was not unavoidable. It was not.

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Speaker 1: I mean, the guiding stars should have been Hey, if

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Speaker 1: you ain't vetted properly, you're not getting in.

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Speaker 2: You're just not going to get in and send him

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Speaker 2: to another country.

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Speaker 1: I'm sure there's some that would have taken them, you know,

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Speaker 1: the whole thing again, just completely and totally avoidable. President

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Speaker 1: Trump yesterday, i think it was yesterday, maybe the day

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Speaker 1: before yesterday, was talking to reporters about this and they're

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Speaker 1: grilling them about, you know, where they vetted this, that

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Speaker 1: and the other.

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Speaker 2: President Trump, God love him.

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Speaker 1: If a reporter asks him a question that he think

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Speaker 1: is either unfair or frankly stupid, he tells them and

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Speaker 1: that happened. I want to listen to this because it

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Speaker 1: makes me happy. Could you play it please?

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Speaker 4: Your dj IG just reported this year that there was thorough.

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Speaker 5: Vetting by DHS and by the FBI of these Afghans

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Speaker 5: who were brought into the US.

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Speaker 6: So why do you blame the Fighten Advisory because they

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Speaker 6: let them in? Are you stupid? Are you a stupid person?

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Speaker 6: Because they came in on a plane along with thousands

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Speaker 6: of other people that shouldn't be here, and you're just

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Speaker 6: asking questions because you're a stupid person. And there's a

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Speaker 6: law passed that it's almost impossible not to get them out.

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Speaker 2: You can't get them out once they come in.

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Speaker 6: And they came in and they were unvetted, they were unchecked.

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Speaker 6: There were many of them, and they came in on

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Speaker 6: big planes and it was disgraceful. And if you look,

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Speaker 6: you'll see there was a law pass it makes it

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Speaker 6: almost impossible not to let them in, not to certify them,

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Speaker 6: so to speak, once they come in, and they came

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Speaker 6: in and they shouldn't have come in, and frankly, the

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Speaker 6: whole thing was a mess. The whole Afghanistan situation was

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Speaker 6: a mess. We shouldn't it should have never taken place.

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Speaker 6: If we're going to go out, and we would have

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Speaker 6: gone out because I had everybody ready. We were going

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Speaker 6: to go out with strength and dignity and precision, and

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Speaker 6: we would have left from Bagram, and we would have

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Speaker 6: kept Bogram, by the way, because of its very close

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Speaker 6: relationship to China and where they make their missiles. But

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Speaker 6: when you let the people come in by the thousands

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Speaker 6: and thousands and thousands, they made a terrible.

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Speaker 2: Mistake, but they weren't competent.

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Speaker 1: There you go, I mean, crammed into what about a

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Speaker 1: minute and a half. It says it all. They were incompetent.

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Speaker 1: You let thousands and thousands and thousands of people in,

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Speaker 1: things like this are going to happen. And once again,

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Speaker 1: thank you very much. Joe Biden, his administration and he

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Speaker 1: were more concerned about making sure we don't violate what

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Speaker 1: they considered the rights of people who were not American citizens,

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Speaker 1: and American citizens be damned, we don't care about you.

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Speaker 1: We're more interested in protecting those people. And in the

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Speaker 1: overwhelming majority of cases, some say twenty million people that

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Speaker 1: just they trespassed into our country. This one's a little

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Speaker 1: bit different. But thank you Donald Trump for recognizing, by

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Speaker 1: the way, that was a CBS News reporter asking a

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Speaker 1: stupid question. And he is correct, and I love it,

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Speaker 1: and I know a lot of other people do when

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Speaker 1: he calls them stupid to their face. You know, gone

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Speaker 1: are the days when you know, Dan Rather stands up

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Speaker 1: and says something, and you know everybody towers in fear. Oh,

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Speaker 1: we can't challenge him, We can't challenge CBS News. Well,

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Speaker 1: guess what, those days thank you under President Trump are gone.

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Speaker 1: Just a little bit more on this thing. This gunman,

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Speaker 1: the guy that I talked about. I'm not going to

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Speaker 1: repeat his name. And now, by the way, they're seeking

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Speaker 1: the death penalty against him, and Afghan national officials say

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Speaker 1: he drove all the way across the country, apparently from

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Speaker 1: Washington State. I think it was to carry out his attack.

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Speaker 1: He was possibly motivated by Islamic extremism, you think. Give

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Speaker 1: it reports that one of the soldiers who helped take

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Speaker 1: him down, as I said, heard this piece of dung

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Speaker 1: yelling Allah achbar during the attack. You know, if anyone

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Speaker 1: says anything after that, gee, I wonder what his motives

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Speaker 1: were there? You go too, filthy, disgusting, degenerate words that

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Speaker 1: those people utter when they are doing something harmful and

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Speaker 1: hurtful and deadly to citizens and soldiers of the United

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Speaker 1: States of America. But of course, the whole thing not

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Speaker 1: Biden's fault. No, it's Donald Trump's fault.

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Speaker 2: Again.

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Speaker 1: I'm reading from a great article in City Journal that

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Speaker 1: came out yesterday.

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Speaker 2: Trump's fault.

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Speaker 1: Of course, while the attack itself could not have been

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Speaker 1: speci predicted, some of the commentary in its wake has

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Speaker 1: been politically predictable, you think. Jane Mayer, a vocal Trump critic,

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Speaker 1: took to x to blame the President for the tragedy.

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Speaker 1: She wrote that guard members, and I'm quoting here, I

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Speaker 1: may get sick, but I'm gonna quote it. Guard members

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Speaker 1: quote had virtually nothing to do but pick up trash.

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Speaker 1: That the Guard's presence in d C was quote for

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Speaker 1: political show. That Beckstrom and Wolf, those are the two

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Speaker 1: service members should never have been deployed. They weren't needed there.

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Speaker 1: I guess that's the gist of it, or at least

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Speaker 1: part of it. Well, you know what, you know what,

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Speaker 1: miss Mayor, why don't you talk to d C Mayor Bowser?

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Speaker 2: Why don't you talk to her?

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Speaker 1: Because she and I give her credit for this, I

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Speaker 1: didn't expect it. She praised Trump for doing that in DC,

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Speaker 1: for driving murder down in that city, Washington, d C.

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Speaker 1: So maybe ought to talk to her, a liberal Democrat

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Speaker 1: who had the courage to praise the president for his efforts.

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Speaker 1: One more on this thing going on in the City

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Speaker 1: Journal article again Trump's fault.

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Speaker 2: Echoing Jane Mayer. We just heard from her on PBS.

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Speaker 1: Former Obama administration official Juliet Cayam criticized the president's decision

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Speaker 1: to employ guardsmen in DC, which she said left them

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Speaker 1: with an unclear mission that the soldiers service members.

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Speaker 2: That quote made them vulnerable.

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Speaker 1: In its coverage of the shoote the shooting, the New

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Speaker 1: York Times ended a reported piece with a quote from

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Speaker 1: a West Virginia resident who blamed the president, stating that

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Speaker 1: the guardsmen quote should shouldn't have been there in the

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Speaker 1: first place. Well, I'll tell you what that person that

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Speaker 1: said that, you know, might make the same claim about

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Speaker 1: the discussing piece of dung that killed the soldiers. But yeah,

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Speaker 1: apparently the New York Times couldn't find anyone saying so

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Speaker 1: for its coverage, which I think the author of this,

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Speaker 1: Rafael mang mangu Wow said.

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Speaker 2: That tongue in cheek.

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Speaker 1: And there's just so much more on this, and we

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Speaker 1: will be talking about it throughout the morning. But again,

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Speaker 1: a sad day for the United States of America. And

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Speaker 1: one more time, thank you Joe Biden. Hey, we got

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Speaker 1: to take a break, but we get back. I want

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Speaker 1: to hear from you seven four nine, seven thousand, one

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Speaker 1: eight hundred. The big one are the numbers, Mike Allen

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Speaker 1: Saturday midday as their approven cleuding process uses no soaps, detergents,

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Speaker 1: or ours chemicals, so there's no residue Day midday. Got

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Speaker 1: some collars here want to be a part of it,

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Speaker 1: and we will get to them. And just a second

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Speaker 1: here a couple of things, just kind of clean up

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Speaker 1: from the from the rant talked about DC Mayor Muriel

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Speaker 1: Bowser praising President Trump for putting those National Guard troops there.

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Speaker 1: This is from Congress dot gov. It is dated August

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Speaker 1: twenty seventh, twenty twenty five. Headline reads DC Mayor Muriel

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Speaker 1: Bowser praises Donald Trump's police takeover. Sub headline the city's

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Speaker 1: democratic mayor has maintained an unusual working relationship with the

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Speaker 1: Republican president. Okay, here's what Mayor Bowser said, and I'm quoting.

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Speaker 1: We greatly appreciate the surge of officers that enhance what

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Speaker 1: MPD and that must mean Municipal Police Department anyways, the

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Speaker 1: DC Police, what MPD has been able to do in

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Speaker 1: this city.

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Speaker 2: She said that at a press conference.

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Speaker 1: She goes on to say the difference being this twenty

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Speaker 1: day period of the federal this federal sur and this

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Speaker 1: year and last year represents an eighty seven percent reduction

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Speaker 1: in carjackings. So for those of you that want to

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Speaker 1: blame Trump for this and say those guards men and

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Speaker 1: women had no business being there, I would just refer

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Speaker 1: you back to liberal But I think kind of gutsy

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Speaker 1: mayor bowser, if you want to say that. So, I mean,

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Speaker 1: but it is typical though that they would turn around

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Speaker 1: and blame it on Trump when.

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Speaker 2: All else fails. You know what, that's what you do.

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Speaker 1: One more thing before the calls, I was talking about

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Speaker 1: the article that I found in the City Journal by

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Speaker 1: raphael A. Manguel. I don't know anything about him, but buddy,

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Speaker 1: he's right on this one. Just let me read a

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Speaker 1: couple of sentences here. Okay, this is what mister Manguel

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Speaker 1: says is it's not clear how the presidents to say

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Speaker 1: decision and he's referring to the decision to put the

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Speaker 1: troops on National Guard in Washington, d C. It's not

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Speaker 1: clear how the president's decision created the conditions for a

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Speaker 1: deranged Afghan national to leave behind a wife and five

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Speaker 1: children drive approximately twenty five hundred miles with a handgun

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Speaker 1: and attack soldiers in DC. But the argument sounds an

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Speaker 1: awful lot like victim blaming if, in fact, a foreign

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Speaker 1: national carrying out an attack in the name of Islam

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Speaker 1: was a predictable consequence of the president's decision to deploy

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Speaker 1: the National Guard to fortify the streets of Washington, d C. Which, again,

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Speaker 1: I would point out the mayor was for against the

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Speaker 1: crime plague. And here's the dinger here. Then this country

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Speaker 1: has a much bigger problem. Well put, well, put, mister mangwell,

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Speaker 1: all right, let's hit the phones.

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Speaker 2: Let's talk to Fred.

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Speaker 1: He's down in Saint Petersburg, Florida, which would be a

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Speaker 1: nice place to be about.

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Speaker 4: Now. How you doing, Fred, I'm doing fine.

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Speaker 7: The weather is really good. You know, you said there's

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Speaker 7: no reason to talk about the motive of this guy.

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Speaker 7: He's just a maniac. But at some point our country

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Speaker 7: vetted that guy and he was on our side, and

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Speaker 7: you know I came.

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Speaker 1: Over Hang on, right, I just want to make sure

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Speaker 1: you're you're absolutely right. I did say that, but what

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Speaker 1: I meant was somewhat tongue in cheek, but not really.

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Speaker 1: When you hear a guy yell a la op bar

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Speaker 1: while he's killing Americans. I think you know what his

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Speaker 1: GD motive is. I'm sorry, go ahead.

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Speaker 7: Though, absolutely, but nobody does anything for just one reason.

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Speaker 7: His family may have been threatened. There was bad guys

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Speaker 7: coming on that plane with him, and those bad guys

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Speaker 7: know he was on our side at that time. So

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Speaker 7: they're not going to let that guy, uh, you know,

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Speaker 7: get away with that. They're they're sneaking around our country

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Speaker 7: right now, those bad guys looking for those guys that

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Speaker 7: were on our side. And if we don't look at

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Speaker 7: it that way, you know, we should protect those guy's families.

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Speaker 8: Are that man?

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Speaker 1: And I said that in the rent. I couldn't agree

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Speaker 1: with you more. But I mean, this is a guy.

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Speaker 1: Something happened to him, something turned him. Because I take

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Speaker 1: what you're saying, you say it, I believe it that

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Speaker 1: the dude really was helping.

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Speaker 2: But man, you just wonder what happened to him.

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Speaker 7: Yeah, well, he probably expected to die when he did this.

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Speaker 7: There is a lot worse things he could have done.

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Speaker 7: I mean, you know, for Bacca or whatever he said,

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Speaker 7: there's a lot worse things he could.

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Speaker 4: Have done well like that, I mean, except hell, he could.

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Speaker 7: Have bombed up a building or something.

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Speaker 2: Well, I get that what he did is enough.

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Speaker 7: Yeah, absolutely, there's no doubt about that. But I bet

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Speaker 7: you his family was threatened and he said, well, okay,

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Speaker 7: I'll do this if you leave my family alone. And

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Speaker 7: he let it at that, and I just in the

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Speaker 7: back of my mind, I think there's more to this,

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Speaker 7: and we probably won't hear about it because they can't

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Speaker 7: let it out. If they let it out, then you know,

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Speaker 7: the family will go kill the family. Yeah, if this

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Speaker 7: guy talks, If this guy talks and it gets out

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Speaker 7: of the bag that he's talked, then those bad guys

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Speaker 7: are going to go after the families of these guys

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Speaker 7: that were on our side.

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Speaker 2: I understand.

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Speaker 7: Can't believe our government's I can't believe our governments not

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Speaker 7: protecting their families more than they are. I just can't

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Speaker 7: believe this.

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Speaker 2: Well, you know what to do, and you make good points, Fred,

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Speaker 2: you do.

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Speaker 1: But the thing of it is, if Joe Biden and

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Speaker 1: the Biden administration were going to let that many people.

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Speaker 2: In and I get it, you know, it was like.

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Speaker 1: When we withdrew from Vietnam, which was an orderly withdrawal

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Speaker 1: compared to this thing. I think the United States of

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Speaker 1: America I know because I've read about it, made a

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Speaker 1: real effort, in a pretty successful effort, to protect those

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Speaker 1: people that helped us, those that were able to get out,

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Speaker 1: and we should do it.

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Speaker 2: Look, by god, what twenty twenty one? Where are we?

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Speaker 2: Almost twenty twenty six? That could have been done, They

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Speaker 2: could have been.

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Speaker 7: You know, the news is the saying Biden did this.

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Speaker 7: You know, you know, Biden didn't know what the hell

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Speaker 7: was going on.

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Speaker 9: He didn't The people.

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Speaker 7: Behind him were running the country. They did this, and

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Speaker 7: they knew what they were doing. Remember what Obama said,

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Speaker 7: We're gonna fundamentally change this country. Yeah, and they've been

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Speaker 7: two hundred ever since then.

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Speaker 1: All right, Fred, thanks for the cost. Okay, thank you. Hey,

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Speaker 1: enjoy that weather. Yeah, he's down there in Saint Petersburg. Man,

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Speaker 1: I'm jealous. Okay, let's see, let's see. Let's talk to

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Speaker 1: Dale in Waynesville. Hey, good morning, Dale, what you got

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Speaker 1: for us?

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Speaker 4: All right?

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Speaker 2: How you doing? I'm good, I'm good.

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Speaker 4: But good good? Great? Uh, well, you know a couple

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Speaker 4: of things.

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Speaker 10: Uh, you know, the guy was right about Biden. You know,

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Speaker 10: I've never never liked Joe even way back in his past.

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Speaker 10: Uh he was just super strange. But towards the end,

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Speaker 10: I kind of felt sorry for Joe because he didn't

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Speaker 10: even know what he had for breakfast this morning, you know,

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Speaker 10: And and you know things like that. Uh so, you know,

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Speaker 10: And and this guy, like we say, drill clear across

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Speaker 10: the country, why when he when he had National guardsmen

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Speaker 10: to shoot at practically next.

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Speaker 2: Door's good point.

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Speaker 10: I don't know if anybody anybody ever thought about that

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Speaker 10: or not.

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Speaker 1: That's a good point. I mean, he was motivated somehow.

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Speaker 1: In my previous call, I respect what he said, and

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Speaker 1: I agree with a lot of it, but you know,

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Speaker 1: my god, you just can't explain this away.

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Speaker 10: No, no, there's no explanation for this except for the

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Speaker 10: evilness of of this guy's motivation.

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Speaker 2: Of those people. I'm not of those people.

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Speaker 1: I do not like them, and I don't think I

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Speaker 1: ever will.

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Speaker 4: That's true.

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Speaker 10: That's true in my in my honest opinion, all right,

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Speaker 10: I think that there should be a point of view

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Speaker 10: where that what happened to these these kids who were

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Speaker 10: just doing their job.

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Speaker 4: Uh and and and this guy.

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Speaker 10: Shot there's there should be volunteers from his gardens, his

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Speaker 10: fellow guardsmen, to go in there, and and you know

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Speaker 10: you could, you could get as many as you wanted,

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Speaker 10: probably take about ten of them, and and you know,

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Speaker 10: it was just you know, that's my opinion.

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Speaker 4: It should be.

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Speaker 10: This should be stopped, and it should be uh should

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Speaker 10: be stopped something it could be.

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Speaker 2: Something needs to be done.

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Speaker 11: Dale.

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Speaker 1: Hey, I appreciate the call. I got a bunch to

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Speaker 1: get to though. Thank you. You know, I mean, I

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Speaker 1: understand what he's saying. I understand the frustration. I share

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Speaker 1: in the frustration these people. They're the two guardsmen, men

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Speaker 1: and women. You know, they were doing their job. They

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Speaker 1: were doing what they signed up to do. And to

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Speaker 1: say that, well, you know, they never should have been

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Speaker 1: there in the first place. Well, you know, number one,

439
00:26:31,720 --> 00:26:35,959
Speaker 1: contrary to what those six Democrats this week said about

440
00:26:36,160 --> 00:26:40,960
Speaker 1: ignoring orders, they were ordered to be there by the

441
00:26:41,000 --> 00:26:46,400
Speaker 1: President of the United States, and it is specifically cited,

442
00:26:46,840 --> 00:26:49,080
Speaker 1: it's either in a statute or in the oath that

443
00:26:50,320 --> 00:26:53,040
Speaker 1: they shall obey those orders. But you know, I guess

444
00:26:53,119 --> 00:26:55,880
Speaker 1: that's a different situation here. I don't know. Hey, let's

445
00:26:55,880 --> 00:26:59,040
Speaker 1: talk to our friend Bobby J. Hey, Bobby J. What's up?

446
00:27:00,640 --> 00:27:01,159
Speaker 4: My brother?

447
00:27:01,280 --> 00:27:05,520
Speaker 9: A simple thank you can't express our true feelings of appreciation.

448
00:27:05,960 --> 00:27:09,359
Speaker 9: You keep holding that torture freedom buy and bright my well,

449
00:27:09,400 --> 00:27:14,600
Speaker 9: thank you. I don't have a crystal ball out, but

450
00:27:15,960 --> 00:27:19,240
Speaker 9: we've all been in different things in our country.

451
00:27:19,840 --> 00:27:24,760
Speaker 4: But this individual, you have to look at it.

452
00:27:24,840 --> 00:27:28,600
Speaker 9: That person has the will, the desire, and the means

453
00:27:29,320 --> 00:27:32,480
Speaker 9: they're going to pretty much so complete their task. And

454
00:27:32,560 --> 00:27:35,080
Speaker 9: all you can do is try to critique their actions

455
00:27:35,600 --> 00:27:39,400
Speaker 9: after their operations. And you know that being in the military. Yep.

456
00:27:42,040 --> 00:27:45,520
Speaker 9: If you look at the Department of Justice and what

457
00:27:45,560 --> 00:27:53,000
Speaker 9: they looked into, this is called neoistic violence extremism. Right now,

458
00:27:53,080 --> 00:27:58,560
Speaker 9: we're having a cultural revolution where you are groups you know,

459
00:27:58,680 --> 00:28:01,359
Speaker 9: I mean they just went ahead and had the Islamic Brotherhood.

460
00:28:03,280 --> 00:28:05,359
Speaker 9: You know, they're a terrorist organization.

461
00:28:05,520 --> 00:28:10,440
Speaker 1: Now, well, Bobby, Bobby, but whatever you do, whatever you do,

462
00:28:10,440 --> 00:28:14,600
Speaker 1: don't criticize them. You know, you might be called an islamophobe.

463
00:28:14,880 --> 00:28:16,960
Speaker 1: Of course I say that tongue in cheek.

464
00:28:18,880 --> 00:28:21,080
Speaker 9: My friend. You could call me anything you want to,

465
00:28:21,760 --> 00:28:26,440
Speaker 9: because it's just not a patterned distraction. Now, people need

466
00:28:26,480 --> 00:28:30,040
Speaker 9: to be resilience. You know, resilience is being traded for comfort.

467
00:28:30,560 --> 00:28:34,760
Speaker 9: People need to understand that that this is just an

468
00:28:34,800 --> 00:28:38,160
Speaker 9: isolated incident, but expected to come a lot more.

469
00:28:38,480 --> 00:28:39,800
Speaker 2: There's no question about it.

470
00:28:40,160 --> 00:28:42,560
Speaker 1: No, And you know what, if Joe Biden were still

471
00:28:42,600 --> 00:28:46,080
Speaker 1: in office, God forbid, Bobby, I mean, we would be

472
00:28:46,160 --> 00:28:47,760
Speaker 1: seeing a lot more of this stuff.

473
00:28:48,000 --> 00:28:50,760
Speaker 2: I believe I do too, my friend.

474
00:28:50,880 --> 00:28:51,080
Speaker 4: Yep.

475
00:28:51,200 --> 00:28:53,240
Speaker 9: But I appreciate you taking my call, and I know

476
00:28:53,280 --> 00:28:55,000
Speaker 9: you've got a lot of little callers. I just want

477
00:28:55,040 --> 00:28:58,560
Speaker 9: everybody to be resilient, and I always think it could

478
00:28:58,560 --> 00:28:59,920
Speaker 9: be at your doorstep at any more.

479
00:29:00,360 --> 00:29:02,440
Speaker 2: Absolutely, absolutely, thank you.

480
00:29:02,680 --> 00:29:05,960
Speaker 1: I appreciate the all right, all right, you know what,

481
00:29:06,520 --> 00:29:09,560
Speaker 1: And he's right too, it could be any one of us.

482
00:29:10,000 --> 00:29:14,760
Speaker 1: I have a daughter in the service in the army,

483
00:29:15,000 --> 00:29:18,240
Speaker 1: so many other people do, and it could be them.

484
00:29:18,640 --> 00:29:21,080
Speaker 1: It could be them. And he's right about that. Hey,

485
00:29:21,200 --> 00:29:23,560
Speaker 1: we've got time for one more. Let's talk to Joe

486
00:29:23,720 --> 00:29:26,320
Speaker 1: in Lexington. I got a couple of minutes.

487
00:29:26,120 --> 00:29:27,360
Speaker 2: Here, Joe. What you got.

488
00:29:28,920 --> 00:29:30,720
Speaker 3: Hey, Mike, Uh, you know, I just want to say

489
00:29:30,720 --> 00:29:32,640
Speaker 3: I like to take the fingerprints off Biden.

490
00:29:32,760 --> 00:29:34,120
Speaker 4: That narrative of Biden.

491
00:29:34,880 --> 00:29:38,560
Speaker 3: I wish we'd just say Obama because it lays solely

492
00:29:38,600 --> 00:29:44,240
Speaker 3: on Obama and and uh, you know, uh, the only

493
00:29:44,280 --> 00:29:48,240
Speaker 3: thing I could say is, uh, he changed the whole culture.

494
00:29:48,600 --> 00:29:51,760
Speaker 3: And you don't see Christians going around killing people, no,

495
00:29:52,200 --> 00:29:55,920
Speaker 3: like like like Islam. And if you know, and if

496
00:29:56,080 --> 00:29:59,360
Speaker 3: Christians get together, Conservatives get together anything, and they raise

497
00:29:59,440 --> 00:30:02,560
Speaker 3: any kind of focus and awareness about what's going on.

498
00:30:02,480 --> 00:30:04,040
Speaker 4: We're labeled radical.

499
00:30:04,320 --> 00:30:07,680
Speaker 1: Yeah, radical, you are so right, you are so And

500
00:30:07,720 --> 00:30:10,200
Speaker 1: guess what if they do it to me, which they've done,

501
00:30:10,600 --> 00:30:12,160
Speaker 1: I'm gonna wear it as a badge of honor.

502
00:30:12,520 --> 00:30:14,320
Speaker 2: I don't care. I don't care.

503
00:30:15,320 --> 00:30:18,080
Speaker 3: Well well, yeah, And one thing that really ticks me

504
00:30:18,120 --> 00:30:20,280
Speaker 3: off about Islam as being woke up when I go

505
00:30:20,360 --> 00:30:23,080
Speaker 3: to Nairobi, but five o'clock born in prayer, I can't

506
00:30:23,080 --> 00:30:23,840
Speaker 3: even get sleep.

507
00:30:23,920 --> 00:30:26,920
Speaker 4: It's like an automatic, you know, alarm clock. You know,

508
00:30:26,960 --> 00:30:29,360
Speaker 4: they do it all loud speakers of the prayers.

509
00:30:31,080 --> 00:30:33,880
Speaker 3: But you know, just like Grisha. You know those children

510
00:30:33,960 --> 00:30:36,400
Speaker 3: have got killed in Kenya, you know about twelve fifteen

511
00:30:36,440 --> 00:30:37,920
Speaker 3: years ago, butchered.

512
00:30:37,440 --> 00:30:39,640
Speaker 4: And I mean the list goes on and on. We're

513
00:30:39,680 --> 00:30:40,240
Speaker 4: on time for that.

514
00:30:40,320 --> 00:30:43,120
Speaker 3: But all I'm saying is Obama's getting a free pass. Sure,

515
00:30:43,160 --> 00:30:46,040
Speaker 3: we talk about it, and we know the autopan, but

516
00:30:46,560 --> 00:30:50,320
Speaker 3: it's totally, totally, totally Obama has had twelve years in

517
00:30:51,040 --> 00:30:52,480
Speaker 3: the presidency twelve years.

518
00:30:52,640 --> 00:30:56,560
Speaker 1: It's a good point. I gotta let you go, Joe. Yeah,

519
00:30:56,920 --> 00:30:58,800
Speaker 1: thanks for the God, it's a very good point. And

520
00:30:58,840 --> 00:31:01,640
Speaker 1: a lot of people, a lot of people feel that way,

521
00:31:02,960 --> 00:31:06,960
Speaker 1: you know. And the relationship between those two, Obama and

522
00:31:07,040 --> 00:31:09,520
Speaker 1: Biden apparently has gone way way south.

523
00:31:10,120 --> 00:31:13,040
Speaker 2: And I get the distinct impression. And others have.

524
00:31:13,040 --> 00:31:18,080
Speaker 1: Said too that that Biden was envious of Obama, and

525
00:31:18,320 --> 00:31:20,360
Speaker 1: you know, I think that comes through loud and clear.

526
00:31:20,640 --> 00:31:22,440
Speaker 1: But the thing of it is, and I have to

527
00:31:22,440 --> 00:31:25,360
Speaker 1: get out of here in a second to think that

528
00:31:25,400 --> 00:31:30,080
Speaker 1: there were people that thought that that man could be

529
00:31:30,200 --> 00:31:33,280
Speaker 1: the president of the United States into the year twenty

530
00:31:33,360 --> 00:31:37,720
Speaker 1: twenty nine. They need to have their head examined. Can

531
00:31:37,760 --> 00:31:42,000
Speaker 1: you imagine as bad as Kamala would have been? I mean,

532
00:31:42,120 --> 00:31:45,320
Speaker 1: you know, well, and I'm pretty sure she probably would

533
00:31:45,360 --> 00:31:47,640
Speaker 1: have ended up being president. He wouldn't have made it

534
00:31:47,680 --> 00:31:51,080
Speaker 1: through his second term, God forbid he got one.

535
00:31:51,760 --> 00:31:52,400
Speaker 2: At any rate.

536
00:31:52,440 --> 00:31:54,000
Speaker 1: Hey, we do have to take a break for the news,

537
00:31:54,080 --> 00:31:56,400
Speaker 1: but when we come back, we're gonna switch gears a

538
00:31:56,400 --> 00:32:00,960
Speaker 1: little bit cheap. Tita saph Thigi of this sincey police Department.

539
00:32:01,280 --> 00:32:03,960
Speaker 1: In my humble opinion, a lot of other people was

540
00:32:04,040 --> 00:32:07,160
Speaker 1: made the scapegoat for the crime problem in this city

541
00:32:07,880 --> 00:32:11,560
Speaker 1: during the election season, and have a family member from

542
00:32:11,640 --> 00:32:16,400
Speaker 1: the Neville family, the premiere law enforcement family in this community,

543
00:32:16,720 --> 00:32:20,080
Speaker 1: wrote a great op ed this week in The Inquirer.

544
00:32:20,480 --> 00:32:22,600
Speaker 1: We're going to talk to that person. We get back

545
00:32:23,200 --> 00:32:32,120
Speaker 1: Mike Allen, Saturday Midday News Radio seven hundred WLW. Mike

546
00:32:32,160 --> 00:32:38,280
Speaker 1: Allen with our two of the Saturday midday program. Well,

547
00:32:38,320 --> 00:32:41,320
Speaker 1: you know what, you see a pattern a lot during

548
00:32:41,400 --> 00:32:45,960
Speaker 1: the silly season. Election time issues come up and they're

549
00:32:46,080 --> 00:32:50,000
Speaker 1: red hot during the election season, but then when the

550
00:32:50,040 --> 00:32:54,720
Speaker 1: election is held, sometimes they go away. Well, this is

551
00:32:54,840 --> 00:32:58,360
Speaker 1: one that is not going to go away, and I'll

552
00:32:58,360 --> 00:33:00,760
Speaker 1: do my level best to make sure that it doesn't.

553
00:33:00,840 --> 00:33:03,520
Speaker 1: And I know a lot of other people think that

554
00:33:03,640 --> 00:33:08,080
Speaker 1: as well. Talking of course about Cincinnati Police Chief Thiji

555
00:33:08,600 --> 00:33:13,080
Speaker 1: being the scapegoat for the crime problems downtown. She's now

556
00:33:13,120 --> 00:33:18,080
Speaker 1: on administrative leave. Why nobody seems to know She's got

557
00:33:18,120 --> 00:33:22,000
Speaker 1: a strong, strong family. As I said before, the Neville

558
00:33:22,000 --> 00:33:25,440
Speaker 1: family is in my opinion, at least, the premiere law

559
00:33:25,520 --> 00:33:30,400
Speaker 1: enforcement family in this area. But a member of that family,

560
00:33:30,680 --> 00:33:33,720
Speaker 1: Rob Neville, who is not a member of law enforcement,

561
00:33:34,200 --> 00:33:39,680
Speaker 1: wrote this week a great op ed piece basically headlined

562
00:33:40,040 --> 00:33:44,200
Speaker 1: police chief Fiji wasn't the problem, but city Hall made

563
00:33:44,240 --> 00:33:47,160
Speaker 1: her one. And boy, I'll tell you what, that nails

564
00:33:47,160 --> 00:33:49,960
Speaker 1: it right there talking about Rob Neville.

565
00:33:50,080 --> 00:33:55,160
Speaker 2: Rob, thanks so much for calling in this morning. Are

566
00:33:55,200 --> 00:33:55,600
Speaker 2: you there.

567
00:33:55,720 --> 00:33:56,880
Speaker 11: That's nice to be here with you.

568
00:33:57,120 --> 00:34:00,560
Speaker 1: Okay, Hey, you know what great op ed, Rob, And

569
00:34:00,680 --> 00:34:03,680
Speaker 1: I mean that kind of walk us through.

570
00:34:03,880 --> 00:34:05,400
Speaker 2: What you said in the op ed.

571
00:34:05,480 --> 00:34:08,680
Speaker 1: You got a great timeline and then follow it up

572
00:34:08,680 --> 00:34:13,000
Speaker 1: with some really good and relevant points about what's going

573
00:34:13,040 --> 00:34:16,040
Speaker 1: on in this city with respect to crime. So I'm

574
00:34:16,040 --> 00:34:18,040
Speaker 1: gonna turn it over for you to you for the

575
00:34:18,080 --> 00:34:20,680
Speaker 1: time being, just kind of lay it out for us.

576
00:34:21,520 --> 00:34:23,640
Speaker 11: Yeah, sort of thing. So I think, you know, I

577
00:34:24,160 --> 00:34:27,400
Speaker 11: do sort of have a unique perspective on this because

578
00:34:27,560 --> 00:34:29,279
Speaker 11: you know, like you said, I'm not somebody that's in

579
00:34:29,360 --> 00:34:32,960
Speaker 11: law enforcement. You know, my background is more finance.

580
00:34:33,480 --> 00:34:35,279
Speaker 4: You know, I'm a parent.

581
00:34:35,320 --> 00:34:39,560
Speaker 11: And you know, I'm a downtown professional. My fiance has

582
00:34:39,560 --> 00:34:42,759
Speaker 11: a business downtown. I have some friends that have businesses

583
00:34:42,880 --> 00:34:47,120
Speaker 11: and outr you know, so for me, crime is obviously

584
00:34:47,200 --> 00:34:49,640
Speaker 11: that is something that is important because you know, you

585
00:34:49,680 --> 00:34:52,840
Speaker 11: talk to business owners and you know obviously that impacts

586
00:34:52,840 --> 00:34:56,239
Speaker 11: the business and then I never really dove too deep

587
00:34:56,320 --> 00:34:58,719
Speaker 11: into it. I try, you know, I try not to

588
00:34:58,800 --> 00:35:01,960
Speaker 11: get too deep into politic just because you know, it's

589
00:35:01,960 --> 00:35:04,960
Speaker 11: just not my thing necessarily, So I tried to, you know,

590
00:35:05,280 --> 00:35:08,279
Speaker 11: I focus more on different different things in life, like

591
00:35:08,360 --> 00:35:11,719
Speaker 11: you know, sports and things like that. But then, you know,

592
00:35:11,800 --> 00:35:16,920
Speaker 11: once Terry was put on administrative lead by the city manager,

593
00:35:17,400 --> 00:35:19,760
Speaker 11: you know, I really started to dig into it. I'm like, okay,

594
00:35:19,960 --> 00:35:22,080
Speaker 11: I need to understand it's like what is going on here?

595
00:35:22,840 --> 00:35:26,160
Speaker 11: And then it really blew me away, like it really did.

596
00:35:26,239 --> 00:35:28,960
Speaker 11: It like struck me to the core when I started

597
00:35:28,960 --> 00:35:29,960
Speaker 11: digging into it.

598
00:35:30,239 --> 00:35:32,560
Speaker 4: And like you said, like the pattern.

599
00:35:32,320 --> 00:35:34,600
Speaker 11: The pattern to me just was so clear of like

600
00:35:35,280 --> 00:35:39,799
Speaker 11: the amount of people that had prior offenses that were

601
00:35:39,800 --> 00:35:43,239
Speaker 11: committing violent crimes. And you know, I went through it

602
00:35:43,280 --> 00:35:45,719
Speaker 11: in the op ed like Kyle Merrick, he was he

603
00:35:45,960 --> 00:35:48,839
Speaker 11: was he was fatally shot by fifteen year old with

604
00:35:49,120 --> 00:35:53,520
Speaker 11: sixteen charges. Laura Schuler was murdered by a man out

605
00:35:53,520 --> 00:35:56,760
Speaker 11: on bond for aggravated roberty cut off his ankle monitor

606
00:35:57,280 --> 00:35:59,239
Speaker 11: And then I think a lot of people in Cincinnati

607
00:35:59,239 --> 00:36:02,440
Speaker 11: are familiar with the Army veteran Patrick Herringer, who was

608
00:36:02,440 --> 00:36:04,319
Speaker 11: stabbed to death by a parole league who had cut

609
00:36:04,320 --> 00:36:07,279
Speaker 11: off the anchor monitor. And then really the one I

610
00:36:07,320 --> 00:36:10,319
Speaker 11: think that really shocked me to the core was when

611
00:36:10,320 --> 00:36:14,120
Speaker 11: I read about Shaquille Ferguson. And Shaquille Ferguson was the

612
00:36:14,640 --> 00:36:17,800
Speaker 11: person who allegedly, you know, shot at somebody getting downtown

613
00:36:17,840 --> 00:36:20,560
Speaker 11: on Fountain Square and then you read about it and

614
00:36:20,760 --> 00:36:23,160
Speaker 11: so you get into it and he was actually on

615
00:36:23,320 --> 00:36:28,680
Speaker 11: parole and he had pistol with somebody, knocked the guy's

616
00:36:28,719 --> 00:36:32,440
Speaker 11: teeth out and served zero jail time. And not just

617
00:36:32,480 --> 00:36:34,239
Speaker 11: that the guy that he knocked the teeth out of

618
00:36:34,680 --> 00:36:37,799
Speaker 11: was actually trying to stop him and his friends from

619
00:36:38,080 --> 00:36:40,719
Speaker 11: kicking an elderly woman on a metro bus. And it's

620
00:36:40,719 --> 00:36:43,520
Speaker 11: like you just like you read all of that and

621
00:36:43,560 --> 00:36:46,400
Speaker 11: you're just like wait, wait, what, like is that even possible?

622
00:36:46,480 --> 00:36:46,760
Speaker 4: Again?

623
00:36:46,840 --> 00:36:50,600
Speaker 11: You know, I'm not somebody that digs into like the crime,

624
00:36:50,800 --> 00:36:52,640
Speaker 11: and you read that and it just shocks you.

625
00:36:53,160 --> 00:36:54,960
Speaker 1: Well, you know what, rob let me, let me, let

626
00:36:54,960 --> 00:36:57,640
Speaker 1: me do this. We are pressed for time, but we

627
00:36:57,760 --> 00:37:00,680
Speaker 1: got plenty of time as now. But you end that

628
00:37:00,840 --> 00:37:04,279
Speaker 1: timeline with I mean, it's amazing. I'm just going to

629
00:37:04,360 --> 00:37:07,960
Speaker 1: read it as I write this seven individuals charged with

630
00:37:08,080 --> 00:37:12,120
Speaker 1: murder are free on bond in our city. Then you

631
00:37:12,200 --> 00:37:16,520
Speaker 1: go into an excellent summation, especially for someone who's not

632
00:37:16,680 --> 00:37:17,960
Speaker 1: law enforcement.

633
00:37:17,480 --> 00:37:19,920
Speaker 2: Of how the system fails.

634
00:37:20,239 --> 00:37:22,120
Speaker 1: Could you kind of pick it up at that point,

635
00:37:22,200 --> 00:37:25,759
Speaker 1: especially with respect to judicial unaccountability.

636
00:37:26,920 --> 00:37:28,800
Speaker 11: Yeah, And I think I think the thing that really

637
00:37:28,840 --> 00:37:30,840
Speaker 11: came through from me too is like what brought me

638
00:37:30,880 --> 00:37:33,399
Speaker 11: to all of this was my aunt being placed on leave,

639
00:37:33,560 --> 00:37:35,960
Speaker 11: right like a hold on. My aunt was trying to

640
00:37:35,960 --> 00:37:38,480
Speaker 11: bring these people together, like she identified this this year.

641
00:37:38,520 --> 00:37:40,440
Speaker 11: That's what blew me away, and that's what to me,

642
00:37:40,480 --> 00:37:42,960
Speaker 11: it almost felt like she was putting pressure on people

643
00:37:43,360 --> 00:37:46,040
Speaker 11: and trying to get the judges involved in, you know,

644
00:37:46,040 --> 00:37:48,840
Speaker 11: because ultimately they're the ones who are setting these bonds

645
00:37:49,239 --> 00:37:52,239
Speaker 11: and you know, determining whether or not somebody can walk

646
00:37:52,280 --> 00:37:55,200
Speaker 11: the streets again. And she was trying to she identified

647
00:37:55,200 --> 00:37:56,920
Speaker 11: this pattern, you know, like this is something that she

648
00:37:57,040 --> 00:37:59,879
Speaker 11: obviously is very close to. She saw this, she tried

649
00:37:59,880 --> 00:38:02,239
Speaker 11: to bring together all the all the leaders, you know,

650
00:38:02,400 --> 00:38:05,520
Speaker 11: like the Police Chiefs Association and some of the other

651
00:38:05,600 --> 00:38:08,200
Speaker 11: leaders that are you know, crime is. You got to

652
00:38:08,239 --> 00:38:10,080
Speaker 11: think of it as like a timeline, and there's a

653
00:38:10,080 --> 00:38:12,080
Speaker 11: lot of parts to it. So she's trying to bring

654
00:38:12,120 --> 00:38:14,520
Speaker 11: everybody together to say, hey, look, you know we're arresting

655
00:38:14,560 --> 00:38:17,919
Speaker 11: these people. You know what is going on here. Let's

656
00:38:17,960 --> 00:38:19,960
Speaker 11: try to fix the you know, the root cause.

657
00:38:19,800 --> 00:38:20,400
Speaker 4: Of this issue.

658
00:38:20,680 --> 00:38:22,719
Speaker 11: So to me, I think it does and this is

659
00:38:22,760 --> 00:38:24,839
Speaker 11: where the irony comes in. So she brought all those

660
00:38:24,840 --> 00:38:27,919
Speaker 11: people together, and then the judicial, you know, the Quarter

661
00:38:27,960 --> 00:38:30,520
Speaker 11: common Please, said oh, sorry, we can't join that meeting.

662
00:38:30,960 --> 00:38:34,759
Speaker 11: You know, that could violate our independence. But in that

663
00:38:34,800 --> 00:38:37,280
Speaker 11: same vein, then they will say, oh, by the way,

664
00:38:37,520 --> 00:38:41,880
Speaker 11: we we welcome public criticism. You know, we believe in transparency,

665
00:38:42,280 --> 00:38:45,640
Speaker 11: we believe in accountability. It's like, okay, then then who

666
00:38:45,680 --> 00:38:48,279
Speaker 11: are you accountable to? You know, if you won't join

667
00:38:48,320 --> 00:38:50,919
Speaker 11: these meetings, you won't have these discussions. I just feel

668
00:38:50,920 --> 00:38:53,759
Speaker 11: like the judges are hiding, and that's why that the

669
00:38:53,760 --> 00:38:56,600
Speaker 11: politicians had to escape Poetary because like, oh wait, wait,

670
00:38:56,600 --> 00:38:58,640
Speaker 11: we can't go to the judges kind to put the

671
00:38:58,680 --> 00:39:01,799
Speaker 11: spot right there, right because you're gonna find somebody else

672
00:39:01,800 --> 00:39:04,240
Speaker 11: to put the spotlight on. And it's just the irony

673
00:39:04,280 --> 00:39:06,040
Speaker 11: of it. I think that's what's so frustrating, is like

674
00:39:06,280 --> 00:39:09,040
Speaker 11: our city is led by people at the end of

675
00:39:09,120 --> 00:39:12,520
Speaker 11: the day are incompetent. You know, it's a little bit frustrating.

676
00:39:12,520 --> 00:39:14,719
Speaker 11: It's like, you expect these leaders of our city to

677
00:39:14,760 --> 00:39:17,160
Speaker 11: be able to care for our safety, and it's like

678
00:39:17,360 --> 00:39:20,359
Speaker 11: they're doing a complete opposite. They're taking out somebody who

679
00:39:20,440 --> 00:39:23,120
Speaker 11: has the most power, the most knowledge, the most experience

680
00:39:23,360 --> 00:39:25,719
Speaker 11: to be able to solve the problem, bring the people together, and.

681
00:39:26,160 --> 00:39:30,799
Speaker 1: Someone with an unvarnished record. You know, it makes no

682
00:39:30,840 --> 00:39:31,440
Speaker 1: sense to me.

683
00:39:32,920 --> 00:39:35,879
Speaker 11: Yeah, no, me either. And you know, and like you said,

684
00:39:35,880 --> 00:39:37,160
Speaker 11: we don't have a ton of time, so I do

685
00:39:37,800 --> 00:39:40,279
Speaker 11: want to get into you know, there is a potential,

686
00:39:41,640 --> 00:39:44,240
Speaker 11: you know, way that this could be improved, and people

687
00:39:44,280 --> 00:39:47,200
Speaker 11: have done it before. It's the if any of your

688
00:39:47,280 --> 00:39:50,800
Speaker 11: links listeners are interested there you can look at Harris County,

689
00:39:50,880 --> 00:39:55,920
Speaker 11: Texas put together. It's a dashboard where all of the sentences,

690
00:39:55,960 --> 00:39:58,600
Speaker 11: all the bonds. Like yeah, you're gonna have a dashboard

691
00:39:58,680 --> 00:40:01,520
Speaker 11: right now that says bo crimes committed while dependant on

692
00:40:01,640 --> 00:40:03,919
Speaker 11: bond for one plus fello in the episode by Court.

693
00:40:04,280 --> 00:40:06,320
Speaker 11: Do you can see visually?

694
00:40:06,440 --> 00:40:06,920
Speaker 4: Okay?

695
00:40:07,120 --> 00:40:10,080
Speaker 11: You know, like for example, that thought experiment here is

696
00:40:10,120 --> 00:40:12,480
Speaker 11: what if I told you that in Hamilton County eighty

697
00:40:12,520 --> 00:40:16,120
Speaker 11: percent of the violent criminals that are repeat offenders were

698
00:40:16,440 --> 00:40:19,280
Speaker 11: let out on low bond by ex judge.

699
00:40:19,520 --> 00:40:21,360
Speaker 2: What if I told you that, well, I'll tell you

700
00:40:21,400 --> 00:40:21,880
Speaker 2: what that'd be.

701
00:40:22,040 --> 00:40:22,239
Speaker 11: Wow.

702
00:40:22,760 --> 00:40:25,880
Speaker 1: In Ohio, obviously, you know, we elect our judges, and

703
00:40:26,400 --> 00:40:31,080
Speaker 1: that is exactly the information that citizens need to have

704
00:40:31,239 --> 00:40:33,440
Speaker 1: before they vote.

705
00:40:34,080 --> 00:40:36,080
Speaker 11: And then you get into it. Something else that is

706
00:40:36,160 --> 00:40:39,680
Speaker 11: really crazy about this situation is very timely is ThunderMan.

707
00:40:40,239 --> 00:40:45,360
Speaker 11: She lost by two hundred most roughly two hundred. That's crazy, crazy,

708
00:40:45,400 --> 00:40:48,240
Speaker 11: slim margin, right, But she was somebody who was actually

709
00:40:48,239 --> 00:40:52,160
Speaker 11: speaking out against this great judging a Facebook post by

710
00:40:52,200 --> 00:40:55,719
Speaker 11: Sarah Herringer and she said, in this entire process, you know,

711
00:40:56,200 --> 00:40:58,759
Speaker 11: the two names that I can tell you. She was

712
00:40:58,760 --> 00:41:00,960
Speaker 11: working with my aunt on some legislation to be able

713
00:41:01,000 --> 00:41:03,040
Speaker 11: to fix some of this, you know, the stuff with

714
00:41:03,120 --> 00:41:06,440
Speaker 11: cutting off the hun com owners. But she said, Smitherman

715
00:41:06,840 --> 00:41:09,120
Speaker 11: and Sunderman are two names that I can tell you

716
00:41:09,120 --> 00:41:12,040
Speaker 11: are look at this clear eye, ye, and then you,

717
00:41:12,120 --> 00:41:13,840
Speaker 11: I mean, you find out that she was one that

718
00:41:13,920 --> 00:41:16,280
Speaker 11: lost by two hundred votes. It's like, what if Sunderman

719
00:41:17,080 --> 00:41:18,880
Speaker 11: was the best out of all these judges and not

720
00:41:18,920 --> 00:41:22,399
Speaker 11: having repeat violent offenders on the streets. Nobody knows it's

721
00:41:22,400 --> 00:41:24,759
Speaker 11: like we have this system that is broken, you have

722
00:41:24,880 --> 00:41:27,279
Speaker 11: no information available. I'm a finance guy, I like you

723
00:41:27,400 --> 00:41:29,759
Speaker 11: Dasbard the information. If I'm a voter, I want to

724
00:41:29,760 --> 00:41:32,520
Speaker 11: know who's putting viral criminals back on the street, right,

725
00:41:32,600 --> 00:41:33,759
Speaker 11: like we deserve to know that.

726
00:41:33,960 --> 00:41:35,279
Speaker 9: You know, you could have this.

727
00:41:37,080 --> 00:41:39,800
Speaker 1: I couldn't agree with you more, Rob, I mean, what'd

728
00:41:39,800 --> 00:41:42,719
Speaker 1: you think? And I know you're not an FOP member,

729
00:41:42,760 --> 00:41:44,960
Speaker 1: but well, that'd be a good job for the FOP.

730
00:41:45,160 --> 00:41:47,960
Speaker 1: And don't get me wrong, they do wonderful work. But

731
00:41:48,400 --> 00:41:50,440
Speaker 1: I'm going to check out that Harris County thing you

732
00:41:50,480 --> 00:41:53,920
Speaker 1: were talking about because that's exactly what voters need to know,

733
00:41:56,280 --> 00:41:56,799
Speaker 1: and I think the.

734
00:41:56,800 --> 00:41:58,799
Speaker 11: FOP would fully support this. I think it's one of

735
00:41:58,800 --> 00:42:01,200
Speaker 11: those things where you know, it's maybe it's it's a

736
00:42:01,239 --> 00:42:05,319
Speaker 11: little bit like, you know, esoteric in a way, so

737
00:42:05,680 --> 00:42:09,080
Speaker 11: not everybody is necessarily see this. I think it's a

738
00:42:09,120 --> 00:42:11,359
Speaker 11: relatively recent problem. I was talking to Terry a little

739
00:42:11,400 --> 00:42:13,760
Speaker 11: bit and she said, you know, the chief of police

740
00:42:13,760 --> 00:42:16,239
Speaker 11: in Indianapolis they're having similar issues. So I don't know

741
00:42:16,280 --> 00:42:19,120
Speaker 11: if this is more of a nuanced news thing, But

742
00:42:19,320 --> 00:42:21,960
Speaker 11: I mean, who wouldn't love to have access to all

743
00:42:21,960 --> 00:42:24,040
Speaker 11: of this information. I think some of the you know,

744
00:42:24,239 --> 00:42:26,120
Speaker 11: if you think about it, if you're a business leader,

745
00:42:26,160 --> 00:42:28,400
Speaker 11: this is something that I could see you being very supportive.

746
00:42:28,480 --> 00:42:31,720
Speaker 11: If you have a business downtown, crime is incredibly important

747
00:42:31,719 --> 00:42:35,160
Speaker 11: to your abilities. Yeah, think about the you know, think

748
00:42:35,160 --> 00:42:37,560
Speaker 11: about the reds, the bangles that see Cincinnati. You don't

749
00:42:37,560 --> 00:42:40,160
Speaker 11: want your fans being worried about crime, right. So it's

750
00:42:40,239 --> 00:42:43,200
Speaker 11: like the business leaders could easily come together and you

751
00:42:43,200 --> 00:42:46,000
Speaker 11: could do a partnership with the University of Cincinnati to help,

752
00:42:46,120 --> 00:42:48,560
Speaker 11: you know, put some of this data together. All it takes,

753
00:42:48,600 --> 00:42:50,560
Speaker 11: I think at the end of the day, is the

754
00:42:50,640 --> 00:42:54,480
Speaker 11: leaders having the you know, the motivation, I guess the information,

755
00:42:54,680 --> 00:42:57,919
Speaker 11: and then people really taking this like okay, let's call

756
00:42:57,960 --> 00:43:00,600
Speaker 11: you at your word, Hamlichotonic quartercom of Police. If you

757
00:43:00,719 --> 00:43:05,799
Speaker 11: believe in public criticism, accountability and transparency, explain to us

758
00:43:05,840 --> 00:43:08,320
Speaker 11: why that we should not have access to all this information.

759
00:43:08,840 --> 00:43:12,120
Speaker 11: Right as citizens, we deserve this information. I can't see

760
00:43:12,160 --> 00:43:15,040
Speaker 11: a world where anybody would be against this unless they

761
00:43:15,080 --> 00:43:15,560
Speaker 11: were trying to.

762
00:43:15,600 --> 00:43:17,600
Speaker 2: Hot exactly exactly. And you know what.

763
00:43:17,640 --> 00:43:22,080
Speaker 1: The information is somewhat available through the Clerk of Courts website,

764
00:43:22,160 --> 00:43:26,280
Speaker 1: which is excellent with respect to you know, the situation

765
00:43:26,400 --> 00:43:28,960
Speaker 1: with who got convicted of what that kind of thing.

766
00:43:29,160 --> 00:43:34,080
Speaker 1: But it's just an impossible task because it's everywhere. Somebody

767
00:43:34,120 --> 00:43:37,000
Speaker 1: needs to condense it. And I think that's what you're

768
00:43:37,040 --> 00:43:38,760
Speaker 1: talking about, and I think that's what we need.

769
00:43:40,160 --> 00:43:42,160
Speaker 11: Yeah, a lot of it is pen and paper, like

770
00:43:42,200 --> 00:43:44,680
Speaker 11: you would have to go down there. I have the documents.

771
00:43:44,719 --> 00:43:47,360
Speaker 11: There's no data that's available at your fingertips. You know.

772
00:43:47,360 --> 00:43:49,799
Speaker 11: If you're investigative journalist, you know, you can look at

773
00:43:49,800 --> 00:43:52,040
Speaker 11: these trends and you can do a lot of you know,

774
00:43:52,200 --> 00:43:54,799
Speaker 11: different slices and dices of the data. And I think

775
00:43:54,840 --> 00:43:57,040
Speaker 11: one other thing I do want to mention is if

776
00:43:57,040 --> 00:44:00,719
Speaker 11: you think about this, think about the asymmetry in you know,

777
00:44:00,760 --> 00:44:04,640
Speaker 11: the expectations for the police officers to have body cameras

778
00:44:04,640 --> 00:44:08,360
Speaker 11: that follow their every single meeting, right and the transparency

779
00:44:08,360 --> 00:44:11,120
Speaker 11: we expect from the police officers. And then you think

780
00:44:11,160 --> 00:44:14,000
Speaker 11: about that in contrast with the judges. It's like nobody

781
00:44:14,000 --> 00:44:16,080
Speaker 11: really understands what's going on down there because we don't

782
00:44:16,120 --> 00:44:18,680
Speaker 11: have access to the information. It's it's like I think

783
00:44:18,680 --> 00:44:20,840
Speaker 11: that somebody, you know it needs to call out the

784
00:44:20,880 --> 00:44:23,640
Speaker 11: asymmetry there. And it is funny because I do remember

785
00:44:23,640 --> 00:44:26,880
Speaker 11: my aunt one time just seeing a video clip on

786
00:44:26,880 --> 00:44:29,239
Speaker 11: one of the news and they were at a like

787
00:44:29,320 --> 00:44:32,840
Speaker 11: a crash and an officer had been involved in a crash,

788
00:44:33,160 --> 00:44:35,440
Speaker 11: and the news is asking questions about the other person's

789
00:44:35,440 --> 00:44:37,640
Speaker 11: in crash, and then before the interview wrapped up, my

790
00:44:37,640 --> 00:44:41,360
Speaker 11: aunt goes and just so everybody knows, the police officer's okay,

791
00:44:41,480 --> 00:44:43,000
Speaker 11: I know you guys don't ever ask that, you know,

792
00:44:43,080 --> 00:44:45,400
Speaker 11: And that to me is just the type of person

793
00:44:45,440 --> 00:44:47,359
Speaker 11: that she is, as the type of leader that she is,

794
00:44:47,480 --> 00:44:50,520
Speaker 11: and I think, you know, we need other leaders to

795
00:44:50,640 --> 00:44:53,000
Speaker 11: voice this, to bring this up to you know, the

796
00:44:53,000 --> 00:44:56,560
Speaker 11: public kind of awareness. It's like, we should expect the

797
00:44:56,560 --> 00:45:00,239
Speaker 11: same transparency of our judges and the judicial system as

798
00:45:00,239 --> 00:45:01,760
Speaker 11: we expect from our police officers.

799
00:45:02,040 --> 00:45:03,080
Speaker 2: Well, yeah, that's right.

800
00:45:03,120 --> 00:45:04,880
Speaker 1: If you're going to elect them, you ought to be

801
00:45:04,920 --> 00:45:07,000
Speaker 1: able to without a hell of a lot of work

802
00:45:07,160 --> 00:45:10,279
Speaker 1: on your own, know what their record is on sentencing,

803
00:45:10,640 --> 00:45:13,440
Speaker 1: on bonds and things like that. And you know what,

804
00:45:13,520 --> 00:45:16,720
Speaker 1: I think that's just sitting there rob waiting for somebody

805
00:45:16,719 --> 00:45:19,640
Speaker 1: to take the bull by the horns on it.

806
00:45:20,719 --> 00:45:23,120
Speaker 11: I really think about the you know, think about the

807
00:45:23,120 --> 00:45:26,080
Speaker 11: news organizations that could take this right, Like, who doesn't

808
00:45:26,120 --> 00:45:29,399
Speaker 11: want more access to information? And again it goes back

809
00:45:29,440 --> 00:45:32,319
Speaker 11: to like we can improve. I think sometimes it can

810
00:45:32,400 --> 00:45:34,880
Speaker 11: get lost on people because there's just so much information

811
00:45:34,960 --> 00:45:38,719
Speaker 11: in today's society. Sure, you know, you do have the

812
00:45:38,760 --> 00:45:41,160
Speaker 11: ability if you're somebody out there that's listening and your

813
00:45:41,239 --> 00:45:43,960
Speaker 11: business member, you're part of some of these committees. You know,

814
00:45:44,600 --> 00:45:46,879
Speaker 11: if you're somebody who was in a community that has

815
00:45:46,920 --> 00:45:50,320
Speaker 11: had violent crime, repeat offenders, right like, you have a

816
00:45:50,400 --> 00:45:52,520
Speaker 11: voice in this. You know, our family went down to

817
00:45:53,520 --> 00:45:56,520
Speaker 11: the town hall meeting on Tuesday, open form. Anybody can

818
00:45:56,560 --> 00:45:59,200
Speaker 11: go down there demand this of your city council members.

819
00:45:59,320 --> 00:46:01,840
Speaker 11: They might not the ones to actually enacted, but then

820
00:46:02,160 --> 00:46:04,480
Speaker 11: they can put you, you know, with the right people,

821
00:46:04,520 --> 00:46:07,319
Speaker 11: they can actually begin to create some momentum behind this.

822
00:46:07,440 --> 00:46:10,120
Speaker 11: They can make this happen. You know. So I think

823
00:46:10,120 --> 00:46:14,200
Speaker 11: that the individual should feel more empowered than they might realize. Again,

824
00:46:14,440 --> 00:46:16,560
Speaker 11: two hundred votes that it came down to in front

825
00:46:16,560 --> 00:46:19,680
Speaker 11: of them. This is Cincinnati. We're not talking about global politics.

826
00:46:19,760 --> 00:46:23,560
Speaker 11: We're talking about Cincinnati, your community. You have a boys

827
00:46:23,760 --> 00:46:26,360
Speaker 11: you can make a difference, like anybody out there. You know,

828
00:46:26,440 --> 00:46:30,040
Speaker 11: if I'm a business leader downtown, you know, one think

829
00:46:30,040 --> 00:46:33,040
Speaker 11: about the public companies. Right, if I'm Kroger p and

830
00:46:33,120 --> 00:46:35,920
Speaker 11: G if I'm Great American, Hey, do I want my

831
00:46:35,960 --> 00:46:39,640
Speaker 11: employees walking around downtown in an area where there could

832
00:46:39,680 --> 00:46:43,040
Speaker 11: be a murderer walking next to them? No, I don't

833
00:46:43,080 --> 00:46:46,920
Speaker 11: write like you are responsible for the safety of your people.

834
00:46:47,040 --> 00:46:50,560
Speaker 11: You want to have, you know, a society where we

835
00:46:50,560 --> 00:46:52,040
Speaker 11: can feel safe walking around.

836
00:46:52,400 --> 00:46:55,400
Speaker 1: Well, you know what, And unfortunately we're almost out of time.

837
00:46:55,520 --> 00:46:59,000
Speaker 1: Got a couple minutes, but this is such a good

838
00:46:59,000 --> 00:47:01,960
Speaker 1: op ed. But another sentence that stood out to me.

839
00:47:02,040 --> 00:47:06,240
Speaker 1: And you talk about what we've just been talking about, accountability,

840
00:47:06,440 --> 00:47:11,279
Speaker 1: and you say, imagine firefighters repeatedly extinguishing fires in a

841
00:47:11,280 --> 00:47:15,719
Speaker 1: building while someone keeps setting new ones. Cincinnati police are

842
00:47:15,760 --> 00:47:19,920
Speaker 1: putting out the fires, but the arsonists keep being released.

843
00:47:20,560 --> 00:47:24,640
Speaker 1: I mean that says it so well. That's a perfect example.

844
00:47:25,920 --> 00:47:28,280
Speaker 11: Yeah, And I think you know what that analogy actually

845
00:47:28,360 --> 00:47:33,000
Speaker 11: highlights as well, is the severity of the problem that

846
00:47:33,000 --> 00:47:36,040
Speaker 11: we're dealing with, right yep, like a fire, this is

847
00:47:36,080 --> 00:47:39,919
Speaker 11: a fire, right Like people are out there committing murders,

848
00:47:40,320 --> 00:47:44,160
Speaker 11: they killing people. But this is not you know, just

849
00:47:44,480 --> 00:47:47,520
Speaker 11: like this is not some everyday mundane tasks like the

850
00:47:47,560 --> 00:47:52,480
Speaker 11: weight in the gravity of these decisions by the court

851
00:47:52,680 --> 00:47:56,560
Speaker 11: and the judges cannot be understated, right like this is,

852
00:47:56,800 --> 00:47:57,239
Speaker 11: this is.

853
00:47:59,080 --> 00:47:59,760
Speaker 2: And you can't.

854
00:48:00,800 --> 00:48:05,360
Speaker 1: I'm sorry, you can't overstate that, Rob, you really can't.

855
00:48:06,200 --> 00:48:08,239
Speaker 1: Got about a minute if you want to sum up,

856
00:48:08,440 --> 00:48:10,840
Speaker 1: And again, I would urge people to go to the

857
00:48:10,840 --> 00:48:13,520
Speaker 1: Inquirer's website and read this because it's a very good

858
00:48:13,560 --> 00:48:13,960
Speaker 1: op ed.

859
00:48:15,320 --> 00:48:15,560
Speaker 4: Yeah.

860
00:48:15,680 --> 00:48:17,600
Speaker 11: Yeah, And you know, one thing I do want to say,

861
00:48:17,719 --> 00:48:19,840
Speaker 11: just as we wrap up is, you know, I was

862
00:48:19,840 --> 00:48:22,520
Speaker 11: talking to Terry yesterday and it's you know, it's unfortunate

863
00:48:22,560 --> 00:48:26,160
Speaker 11: what happened to her. I think that it's incredibly disgraceful.

864
00:48:26,280 --> 00:48:30,560
Speaker 11: What city leaders did. You know, There's so many things

865
00:48:30,560 --> 00:48:32,480
Speaker 11: about that that were just wrong in the way they

866
00:48:32,480 --> 00:48:32,839
Speaker 11: did it.

867
00:48:33,280 --> 00:48:33,480
Speaker 4: You know.

868
00:48:33,560 --> 00:48:36,960
Speaker 11: I think that they deserve to apologize to her when

869
00:48:36,960 --> 00:48:38,600
Speaker 11: this is all said and done, and I hope that's

870
00:48:38,600 --> 00:48:41,759
Speaker 11: done publicly. But one one other thing that I do

871
00:48:41,960 --> 00:48:44,080
Speaker 11: just kind of want to want to say, you.

872
00:48:44,000 --> 00:48:44,840
Speaker 2: Got to do it quickly.

873
00:48:45,680 --> 00:48:47,759
Speaker 11: Yeah, So this could be Terry's legacy, Like, at the

874
00:48:47,800 --> 00:48:49,680
Speaker 11: end of the day, if you can get something like

875
00:48:49,719 --> 00:48:53,319
Speaker 11: this judicial accountability and this oversight and transparency, that could

876
00:48:53,320 --> 00:48:58,880
Speaker 11: be her lifelong legacy. That really that it's meaningful.

877
00:48:58,520 --> 00:49:00,239
Speaker 1: At the end of the day, I agree. Well, I

878
00:49:00,320 --> 00:49:02,919
Speaker 1: tell you what, I sure appreciate you calling in. This

879
00:49:03,080 --> 00:49:05,840
Speaker 1: is a great op ed piece, and I'm going to

880
00:49:05,880 --> 00:49:09,239
Speaker 1: continue to follow the story and again I really appreciates

881
00:49:09,280 --> 00:49:09,840
Speaker 1: your point.

882
00:49:09,680 --> 00:49:10,279
Speaker 2: Of view on it.

883
00:49:11,440 --> 00:49:12,279
Speaker 11: Yeah, I appreciate it.

884
00:49:12,320 --> 00:49:13,160
Speaker 4: Thank you very much much.

885
00:49:13,160 --> 00:49:14,000
Speaker 2: Okay, thanks Rob.

886
00:49:14,960 --> 00:49:17,279
Speaker 1: You know, for a guy that's not in law enforce man,

887
00:49:17,360 --> 00:49:20,959
Speaker 1: he absolutely nails it. It really is a great op

888
00:49:21,120 --> 00:49:23,680
Speaker 1: ed piece. And you know, it's like I said in

889
00:49:23,760 --> 00:49:27,200
Speaker 1: the intro to this thing. During election time, you hear

890
00:49:27,280 --> 00:49:31,000
Speaker 1: all about it. Then election goes by and you don't

891
00:49:31,000 --> 00:49:33,719
Speaker 1: hear much at all. And you know, in this in

892
00:49:33,760 --> 00:49:36,799
Speaker 1: this state, we elect our judges, So people ought to

893
00:49:36,840 --> 00:49:40,320
Speaker 1: be able to have that information because what he's saying

894
00:49:40,400 --> 00:49:42,719
Speaker 1: in this thing is absolutely right. Hey, we got to

895
00:49:42,760 --> 00:49:44,719
Speaker 1: take a break button. When we get back, we are

896
00:49:44,760 --> 00:49:47,799
Speaker 1: going to talk to our legal analyst, one of our

897
00:49:47,880 --> 00:49:51,600
Speaker 1: legal analysts, James Bogan, once again with a story of

898
00:49:52,239 --> 00:49:56,640
Speaker 1: biological men pretending to be women. You're going to love

899
00:49:56,680 --> 00:50:00,440
Speaker 1: to hear this one what this sport is. And then second,

900
00:50:01,280 --> 00:50:06,759
Speaker 1: the University of are you ready Minnesota now has a

901
00:50:06,880 --> 00:50:12,200
Speaker 1: course or they're talking about the whiteness pandemic, and we're

902
00:50:12,200 --> 00:50:14,399
Speaker 1: gonna talk to James about that when we get back.

903
00:50:14,760 --> 00:50:18,760
Speaker 1: Mike Allen, Saturday Midday, thirty seven News Radio seven hundred

904
00:50:18,800 --> 00:50:23,520
Speaker 1: WLW Mike Allen Saturday Midday. Well, I'll tell you what,

905
00:50:24,160 --> 00:50:29,759
Speaker 1: yet another example of a biological man pretending to be

906
00:50:30,120 --> 00:50:34,440
Speaker 1: a woman. This one is a little bit different just

907
00:50:34,480 --> 00:50:35,480
Speaker 1: because of the sport.

908
00:50:35,520 --> 00:50:36,880
Speaker 2: And I guess it's a sport.

909
00:50:36,960 --> 00:50:39,560
Speaker 1: But let's talk to the guy who keeps track of

910
00:50:39,600 --> 00:50:43,840
Speaker 1: these things for us, talking about Attorney James Bogan. James

911
00:50:43,920 --> 00:50:49,760
Speaker 1: has a wonderful, wonderful podcast and again I forget the name, James.

912
00:50:49,760 --> 00:50:50,520
Speaker 2: Could you help me.

913
00:50:50,480 --> 00:50:52,520
Speaker 10: Out past the clock?

914
00:50:52,880 --> 00:50:55,040
Speaker 1: Okay, you know what when you get to be my

915
00:50:55,160 --> 00:50:59,279
Speaker 1: age at stuff, But sorry about that anyway, tell us

916
00:50:59,320 --> 00:51:04,400
Speaker 1: about the official strong Man Games. But before you do that, James,

917
00:51:04,600 --> 00:51:07,959
Speaker 1: I have just a very brief clip of a guy

918
00:51:08,000 --> 00:51:12,359
Speaker 1: by the name of Jamie Booker. Who's who's the man

919
00:51:12,400 --> 00:51:15,040
Speaker 1: pretending to be a biological woman? Could you play that

920
00:51:15,440 --> 00:51:16,200
Speaker 1: just a little bit of it?

921
00:51:16,239 --> 00:51:16,560
Speaker 2: Please?

922
00:51:16,600 --> 00:51:23,239
Speaker 11: Liam my coach obviously and asked women and it was

923
00:51:24,120 --> 00:51:25,920
Speaker 11: an honor just to even share.

924
00:51:25,719 --> 00:51:29,640
Speaker 1: The scene review, you know, said, I just wanted to

925
00:51:29,640 --> 00:51:32,040
Speaker 1: give you a flavor for it, James, could you pick

926
00:51:32,080 --> 00:51:34,680
Speaker 1: it up and tell us what this is all about.

927
00:51:35,960 --> 00:51:40,839
Speaker 8: Yeah, this individual Janie Booker came out of nowhere and

928
00:51:41,160 --> 00:51:45,560
Speaker 8: dominated the women's open class at the official strong Well,

929
00:51:45,560 --> 00:51:46,319
Speaker 8: can I ask you.

930
00:51:46,360 --> 00:51:48,839
Speaker 1: What these strong Man Games are? Tell us about that,

931
00:51:48,960 --> 00:51:49,560
Speaker 1: because I have.

932
00:51:49,680 --> 00:51:55,520
Speaker 8: Heard it's a premier event for in strength athletics.

933
00:51:55,719 --> 00:51:58,120
Speaker 10: It's actually a very big organization.

934
00:51:59,080 --> 00:51:59,319
Speaker 4: Uh.

935
00:51:59,360 --> 00:52:03,680
Speaker 8: This isn't like power conventional power lifting or Olympic weightlifting.

936
00:52:03,719 --> 00:52:07,080
Speaker 4: This is where they'll do uh.

937
00:52:07,239 --> 00:52:13,719
Speaker 8: Lifts and tests like log presses, farmers walks, Well, the

938
00:52:13,719 --> 00:52:17,759
Speaker 8: farmers walks, they pick up a very large amount of

939
00:52:17,800 --> 00:52:23,600
Speaker 8: weight and carry it one hundred feet with a sixty

940
00:52:23,640 --> 00:52:24,840
Speaker 8: second time limit.

941
00:52:25,480 --> 00:52:26,120
Speaker 4: Women do it.

942
00:52:26,320 --> 00:52:28,600
Speaker 8: Women do this with around two hundred and twenty five

943
00:52:28,760 --> 00:52:34,080
Speaker 8: pounds and in the open division, and you know log presses,

944
00:52:34,719 --> 00:52:38,080
Speaker 8: they'll with the open division they do it with two

945
00:52:38,200 --> 00:52:42,080
Speaker 8: hundred and fifty pounds, where it's basically a big log.

946
00:52:43,400 --> 00:52:44,560
Speaker 4: You know it's it's not.

947
00:52:44,560 --> 00:52:47,560
Speaker 8: An actual cut log, it's you know, a shaped log

948
00:52:47,880 --> 00:52:51,560
Speaker 8: with big handles where you power clean it and press

949
00:52:51,560 --> 00:52:53,920
Speaker 8: it up for as many reps as you can. And

950
00:52:54,000 --> 00:52:57,319
Speaker 8: with the women's open keg or they do it with

951
00:52:58,280 --> 00:53:03,480
Speaker 8: up to two hundred and fifty pounds and basically this

952
00:53:04,160 --> 00:53:08,720
Speaker 8: was their world championships and you have over four hundred

953
00:53:08,840 --> 00:53:13,160
Speaker 8: male and female athletes from over forty countries. And the

954
00:53:13,200 --> 00:53:16,160
Speaker 8: reason why this is a big deal with women is

955
00:53:16,160 --> 00:53:19,240
Speaker 8: that there's definitely there's actually quite a bit of money

956
00:53:19,280 --> 00:53:22,319
Speaker 8: in it for prize money and then plus you get

957
00:53:22,400 --> 00:53:27,080
Speaker 8: sponsorships boosting credentials to attract clients as a trainer. So

958
00:53:27,440 --> 00:53:33,279
Speaker 8: this isn't just some amateur competition where if you lose, okay,

959
00:53:33,719 --> 00:53:38,919
Speaker 8: no big deal. There's actually potential livelihoods on the line here.

960
00:53:39,200 --> 00:53:41,919
Speaker 1: Okay, I got you, you know in what you sent

961
00:53:42,000 --> 00:53:45,680
Speaker 1: me talking about Jamie Booker. We just heard from him

962
00:53:45,719 --> 00:53:51,400
Speaker 1: her she is about four inches taller and eighty pounds

963
00:53:51,440 --> 00:53:55,560
Speaker 1: heavier than the closest competitor. I think you would have

964
00:53:55,680 --> 00:53:57,719
Speaker 1: to say that's not real fair, wouldn't you say?

965
00:53:58,280 --> 00:54:04,640
Speaker 8: Yeah? Jamie Booker listed six five four hundred pounds and

966
00:54:04,719 --> 00:54:07,200
Speaker 8: now the that was just the nearest person as far

967
00:54:07,200 --> 00:54:10,200
Speaker 8: as weight. The one runner of Andrea Thompson from who's

968
00:54:10,239 --> 00:54:14,279
Speaker 8: from England. She is five five to two hundred and

969
00:54:14,320 --> 00:54:19,879
Speaker 8: sixty five pounds. And just to illustrate size, there's that

970
00:54:20,000 --> 00:54:27,240
Speaker 8: famous former men's champion Eddie Hall. He's quite the Internet

971
00:54:27,280 --> 00:54:31,480
Speaker 8: personality now. He was sixty two, three hundred and fifty

972
00:54:31,560 --> 00:54:34,200
Speaker 8: nine pounds at the time of his peak. But again,

973
00:54:34,239 --> 00:54:36,360
Speaker 8: don't let the height and weight fool you. I've discussed

974
00:54:36,400 --> 00:54:39,840
Speaker 8: that in other shows with You, episodes with You where

975
00:54:40,600 --> 00:54:45,120
Speaker 8: he trust me. Eddie Hall can lift exponentially more than

976
00:54:45,160 --> 00:54:49,360
Speaker 8: these two. But anyway, what happened with Jamie Booker is

977
00:54:50,000 --> 00:54:53,279
Speaker 8: Booker just came out of nowhere, entered the strong woman

978
00:54:53,400 --> 00:55:01,040
Speaker 8: competition and dominated, and just came out of nowhere and.

979
00:55:00,320 --> 00:55:00,960
Speaker 4: As a woman.

980
00:55:01,320 --> 00:55:07,480
Speaker 8: And while the Official Strongman Games organizers have a rules

981
00:55:07,560 --> 00:55:10,600
Speaker 8: about that where you can only participate in your gender,

982
00:55:11,400 --> 00:55:15,399
Speaker 8: Booker basically tried to pull the rug over their eyes

983
00:55:15,440 --> 00:55:19,040
Speaker 8: on this one. And what happened is after the competition

984
00:55:19,239 --> 00:55:23,600
Speaker 8: a number of competit female competitors sent the organizers some

985
00:55:24,200 --> 00:55:30,879
Speaker 8: house I say, videos from Booker's prior online career, pornographic

986
00:55:31,000 --> 00:55:36,400
Speaker 8: stuff that verily clearly showed that Booker is a man.

987
00:55:37,920 --> 00:55:39,680
Speaker 2: Why how did it get that far? James?

988
00:55:39,719 --> 00:55:42,120
Speaker 1: I mean, wouldn't they have to submit to blood tests

989
00:55:42,160 --> 00:55:43,400
Speaker 1: and things like that.

990
00:55:43,640 --> 00:55:44,080
Speaker 4: They don't.

991
00:55:44,160 --> 00:55:47,320
Speaker 8: They don't seem to have that with official Strongman games.

992
00:55:47,360 --> 00:55:50,000
Speaker 8: But I'm sure they're putting they're looking at putting more

993
00:55:50,040 --> 00:55:52,439
Speaker 8: safeguards in place now, because right when they found out

994
00:55:52,480 --> 00:55:59,200
Speaker 8: about it, they disqualified Booker and resorted the placement places accordingly.

995
00:55:59,640 --> 00:56:03,240
Speaker 1: Okay, so it sounds like maybe, at least with respect

996
00:56:03,280 --> 00:56:07,840
Speaker 1: to this particular sport, if you will, it's case closed.

997
00:56:07,840 --> 00:56:08,680
Speaker 2: They cleaned it up.

998
00:56:10,120 --> 00:56:12,000
Speaker 12: Yeah, they looks like that.

999
00:56:12,080 --> 00:56:14,359
Speaker 8: I mean, they can't swooped in and cleaned it up

1000
00:56:14,440 --> 00:56:18,400
Speaker 8: right away. And to their credit, this is not an

1001
00:56:18,520 --> 00:56:23,200
Speaker 8: organization that's run by some Ivory Tower liberals who want

1002
00:56:23,239 --> 00:56:25,520
Speaker 8: to sit there and go, oh, hey, we're going to

1003
00:56:25,600 --> 00:56:29,040
Speaker 8: do our own social engineering. We don't care what you want, gotcha.

1004
00:56:29,600 --> 00:56:32,520
Speaker 8: I appreciate you filling us in on that. I got

1005
00:56:32,520 --> 00:56:34,880
Speaker 8: to ask you about this one you found that you

1006
00:56:34,920 --> 00:56:36,520
Speaker 8: were kind enough to alert me.

1007
00:56:37,120 --> 00:56:41,320
Speaker 1: The University of Surprise, Surprise, Minnesota.

1008
00:56:41,960 --> 00:56:45,040
Speaker 2: On their web page, they have a thing.

1009
00:56:45,840 --> 00:56:48,480
Speaker 1: You can explain what it is, James, but they're warning

1010
00:56:48,680 --> 00:56:53,760
Speaker 1: against a whiteness pandemic. Can you tell us all about

1011
00:56:53,800 --> 00:56:56,640
Speaker 1: this one, because this one, this one takes the cake,

1012
00:56:56,680 --> 00:56:57,280
Speaker 1: if you will.

1013
00:56:57,560 --> 00:57:00,840
Speaker 8: Oh, this is absolutely ridiculous. This is on their website.

1014
00:57:00,960 --> 00:57:03,080
Speaker 8: Fortunately it's not a course. But how much you know,

1015
00:57:03,160 --> 00:57:06,560
Speaker 8: on their professors are teaching the starbage in their courses,

1016
00:57:07,719 --> 00:57:12,160
Speaker 8: and basically they say it all stems from quote research

1017
00:57:12,440 --> 00:57:18,280
Speaker 8: evidence indicating that whiteness, that indicates that whiteness refers to culture,

1018
00:57:18,480 --> 00:57:23,920
Speaker 8: not biology, and features things like color blindness, passivity, and

1019
00:57:23,960 --> 00:57:26,840
Speaker 8: white fragility. I mean, I guess they're saying we need

1020
00:57:26,880 --> 00:57:31,560
Speaker 8: to trust the science here. And the page states, quote,

1021
00:57:31,640 --> 00:57:35,120
Speaker 8: if you were socialized into the culture of whiteness during childhood,

1022
00:57:35,480 --> 00:57:37,440
Speaker 8: it is not your fault, but as an adult, it

1023
00:57:37,520 --> 00:57:41,480
Speaker 8: is now your responsibility to self reflect, re educate yourself,

1024
00:57:41,520 --> 00:57:46,760
Speaker 8: and act. And the web page has so called resources

1025
00:57:47,160 --> 00:57:51,840
Speaker 8: for parents and educators to fight the quote whiteness pandemic,

1026
00:57:51,920 --> 00:57:55,560
Speaker 8: I mean, calling it culture not biology. They're obviously trying

1027
00:57:55,600 --> 00:57:58,280
Speaker 8: to cite step that little thing called the Civil Rights Act.

1028
00:57:58,880 --> 00:58:05,720
Speaker 8: Ye you know, schools can't discriminate based on race. And

1029
00:58:06,080 --> 00:58:10,480
Speaker 8: this is just absolutely blatantly ridiculous.

1030
00:58:10,640 --> 00:58:14,640
Speaker 1: It's exactly what you would expect on the college campus

1031
00:58:14,680 --> 00:58:18,600
Speaker 1: in the year twenty twenty five, except you know, Trump

1032
00:58:18,640 --> 00:58:21,600
Speaker 1: in the Department of Education dropped the hammer on it.

1033
00:58:22,280 --> 00:58:25,360
Speaker 1: Maybe you saw this, James. I found a letter from

1034
00:58:25,720 --> 00:58:30,640
Speaker 1: Brad Finstead, a member of Congress from Minnesota to the

1035
00:58:30,680 --> 00:58:36,760
Speaker 1: Honorable Russell Vaught, Director of omb for that state, basically saying, hey,

1036
00:58:36,840 --> 00:58:40,600
Speaker 1: you know, we put the kibosh on this stuff. And

1037
00:58:40,960 --> 00:58:43,320
Speaker 1: here's what he says. I'm just gonna summarize it here

1038
00:58:43,360 --> 00:58:45,920
Speaker 1: a little bit, James talking about the web page that

1039
00:58:45,960 --> 00:58:50,600
Speaker 1: you just described. The web page describes whiteness as culture,

1040
00:58:50,640 --> 00:58:57,160
Speaker 1: not biology. The centuries old culture of whiteness features color blindness, passivity,

1041
00:58:57,200 --> 00:58:58,240
Speaker 1: and white fragility.

1042
00:58:58,400 --> 00:58:59,400
Speaker 2: Can't forget about that.

1043
00:59:00,000 --> 00:59:04,600
Speaker 1: We're all covert expressions of racism so common in the

1044
00:59:04,720 --> 00:59:07,800
Speaker 1: United States. Well, anyway, the letter goes on to say

1045
00:59:08,120 --> 00:59:10,920
Speaker 1: fix it or we're taking your federal funds.

1046
00:59:12,920 --> 00:59:16,080
Speaker 8: Yeah, with William, the Trump administration has been cracking down

1047
00:59:16,080 --> 00:59:20,280
Speaker 8: on this garbage that I'm glad you see that. I mean,

1048
00:59:20,400 --> 00:59:23,400
Speaker 8: this is just like when Columbia University and other schools

1049
00:59:23,480 --> 00:59:27,560
Speaker 8: like that were turning a blind eye to violence, threats,

1050
00:59:27,600 --> 00:59:29,120
Speaker 8: and harassments.

1051
00:59:28,440 --> 00:59:29,920
Speaker 4: Towards Jewish students.

1052
00:59:30,040 --> 00:59:30,240
Speaker 2: Yep.

1053
00:59:30,880 --> 00:59:37,320
Speaker 8: And it's just it's so blatant, it's just ridiculous.

1054
00:59:37,600 --> 00:59:37,840
Speaker 5: It is.

1055
00:59:37,840 --> 00:59:40,000
Speaker 8: They're trying to find and they're trying to find ways

1056
00:59:40,040 --> 00:59:46,360
Speaker 8: to sythestep Trump's directives about this kind of stuff in DEI.

1057
00:59:46,080 --> 00:59:48,560
Speaker 1: Well, they're doing it all over the country too, And

1058
00:59:49,440 --> 00:59:52,840
Speaker 1: this one somebody nailed it. You obviously found it. And

1059
00:59:53,720 --> 00:59:55,880
Speaker 1: I'll tell you what, this isn't going to be the

1060
00:59:55,960 --> 01:00:00,240
Speaker 1: last one. It just it is just so absurd heard

1061
01:00:00,720 --> 01:00:05,080
Speaker 1: on its face that you do wonder, rational people, I think,

1062
01:00:05,120 --> 01:00:08,880
Speaker 1: do wonder how in the hell does something like this happen?

1063
01:00:09,720 --> 01:00:14,240
Speaker 1: If you have that question and you have that curiosity, legitimately,

1064
01:00:14,920 --> 01:00:19,720
Speaker 1: I'd just say, go to the any college website and

1065
01:00:19,880 --> 01:00:22,920
Speaker 1: shop around and look what they're offering, and you know

1066
01:00:23,040 --> 01:00:24,000
Speaker 1: it won't surprise you.

1067
01:00:24,080 --> 01:00:24,800
Speaker 2: Unfortunately.

1068
01:00:24,960 --> 01:00:27,280
Speaker 8: I mean, how do these academics come up.

1069
01:00:27,200 --> 01:00:27,920
Speaker 4: With this stuff?

1070
01:00:28,920 --> 01:00:31,560
Speaker 2: I don't you know what. I've wondered that for years, James.

1071
01:00:31,640 --> 01:00:34,560
Speaker 1: And you know when Trump dropped the boom, I thought,

1072
01:00:34,640 --> 01:00:37,280
Speaker 1: thank god, you know this stuff's going to go away.

1073
01:00:37,360 --> 01:00:39,360
Speaker 1: But you hit the nail on the head and I

1074
01:00:39,360 --> 01:00:43,720
Speaker 1: should have thought about it. These arrogant academics, they know

1075
01:00:43,880 --> 01:00:46,440
Speaker 1: so much more than you and I and everybody else.

1076
01:00:46,680 --> 01:00:48,760
Speaker 1: They're going to try and find ways around it. And

1077
01:00:49,440 --> 01:00:52,360
Speaker 1: looks like they got their hand in the cookie jar here.

1078
01:00:53,400 --> 01:00:56,680
Speaker 8: Well, you saw the reactions of all those schools when

1079
01:00:56,720 --> 01:01:00,560
Speaker 8: Trump won the election. Remember Georgetown had the else care

1080
01:01:00,640 --> 01:01:03,920
Speaker 8: suite for students where they have milk and cookies, playing

1081
01:01:03,960 --> 01:01:06,080
Speaker 8: with legos and dueling with krans.

1082
01:01:07,080 --> 01:01:09,600
Speaker 1: Yeah, well they didn't have that when I was there. James,

1083
01:01:09,680 --> 01:01:12,400
Speaker 1: as always, we really appreciate you looking out for this

1084
01:01:12,480 --> 01:01:16,240
Speaker 1: stuff and filling us in and keep an eye on

1085
01:01:16,280 --> 01:01:18,680
Speaker 1: this Minnesota thing for us, if you would please.

1086
01:01:19,400 --> 01:01:20,480
Speaker 4: Oh it's gonna be fun.

1087
01:01:20,720 --> 01:01:24,960
Speaker 1: Okay, all right, James, thank you so much. Appreciate Thank Michael.

1088
01:01:25,000 --> 01:01:25,760
Speaker 4: He's a privilege.

1089
01:01:25,840 --> 01:01:30,640
Speaker 1: Okay, thank you. You know, and at University of Minnesota.

1090
01:01:30,680 --> 01:01:33,480
Speaker 1: And I'll tell you what with our next guest, and

1091
01:01:33,520 --> 01:01:36,560
Speaker 1: I'm gonna describe it more fully when we come back

1092
01:01:36,560 --> 01:01:37,760
Speaker 1: from this short break.

1093
01:01:38,600 --> 01:01:42,960
Speaker 2: It has to do with Minnesota. I'll tell you what.

1094
01:01:43,240 --> 01:01:46,640
Speaker 1: They ought to start calling that place theeed People's Republic

1095
01:01:47,080 --> 01:01:50,560
Speaker 1: of Minnesota. But at any rate, before we hear from Janis,

1096
01:01:50,680 --> 01:01:53,439
Speaker 1: we're gonna take a very short break and then we'll

1097
01:01:53,440 --> 01:01:53,919
Speaker 1: come back.

1098
01:01:54,440 --> 01:01:56,000
Speaker 2: Mike Allen, Saturday.

1099
01:01:55,640 --> 01:01:58,680
Speaker 1: Seven hundred WLW Mike Allen an hour three, third and

1100
01:01:58,720 --> 01:02:03,320
Speaker 1: final hour of the Saturday Midday. Well, like I told

1101
01:02:03,320 --> 01:02:06,800
Speaker 1: you before, this is a big story. It's a breaking story.

1102
01:02:06,840 --> 01:02:09,880
Speaker 1: There have spen some news out on it so far,

1103
01:02:10,000 --> 01:02:14,160
Speaker 1: but not a lot until now. And it involves a

1104
01:02:14,560 --> 01:02:23,200
Speaker 1: massive and probably unprecedented fraud situation. Fraud cases in Tampon,

1105
01:02:23,240 --> 01:02:28,840
Speaker 1: Tim's state of Minnesota. Three separate cases, three separate cases,

1106
01:02:29,600 --> 01:02:34,640
Speaker 1: all involving Minnesota's Somali community. The first one is some

1107
01:02:34,680 --> 01:02:38,560
Speaker 1: program called Feeding Our Future, which was supposed to get

1108
01:02:38,680 --> 01:02:43,160
Speaker 1: meals two kids needy kids during the pandemic. I think

1109
01:02:43,200 --> 01:02:46,600
Speaker 1: the money went into somebody's pocket. That's number one. The

1110
01:02:46,640 --> 01:02:52,840
Speaker 1: second scandal is something millions of dollars in fraudulent medicaid

1111
01:02:52,920 --> 01:02:57,400
Speaker 1: claims to combat homelessness. They don't necessarily go together, I

1112
01:02:57,480 --> 01:02:59,920
Speaker 1: don't think. And the third one involves a twenty eight

1113
01:03:00,160 --> 01:03:04,440
Speaker 1: year old woman who reaped fourteen million dollars from an

1114
01:03:04,480 --> 01:03:09,160
Speaker 1: autism care program. And I'll tell you what the story

1115
01:03:09,160 --> 01:03:13,960
Speaker 1: that Janis has in the Epoch Times. She's too modest

1116
01:03:14,000 --> 01:03:16,280
Speaker 1: to tell you, so I'm going to do it for her.

1117
01:03:17,000 --> 01:03:21,680
Speaker 1: Was recognized yesterday looks like last night by none other

1118
01:03:21,880 --> 01:03:25,920
Speaker 1: than Nut Gingrich, former Speaker of the House. And Nut

1119
01:03:26,240 --> 01:03:29,520
Speaker 1: had a little bit of a tweet on this thing,

1120
01:03:29,560 --> 01:03:33,480
Speaker 1: I guess, and I'm just going to read it to you. Okay,

1121
01:03:33,520 --> 01:03:35,520
Speaker 1: this is from Nut Gingrich, And again it looks like

1122
01:03:35,600 --> 01:03:39,480
Speaker 1: last night, Janis Heisel's article in the Epoch Times on

1123
01:03:39,520 --> 01:03:44,800
Speaker 1: the gigantic scale of fraud in Minnesota is an extraordinarily

1124
01:03:44,960 --> 01:03:48,520
Speaker 1: clear and well done article about one of the biggest

1125
01:03:48,560 --> 01:03:55,320
Speaker 1: examples of big government socialism's inevitable tendency towards corruption and favoritism.

1126
01:03:56,200 --> 01:03:57,120
Speaker 2: It should be a must.

1127
01:03:57,200 --> 01:04:00,440
Speaker 1: It should be musk reading for every citizen who wants

1128
01:04:00,560 --> 01:04:05,640
Speaker 1: honest government and realizes how big a problem corruption has become.

1129
01:04:06,280 --> 01:04:10,560
Speaker 1: And Janis with that, I'll introduce you and first of

1130
01:04:10,560 --> 01:04:14,960
Speaker 1: all tell you congratulations that my friend is a big deal.

1131
01:04:17,480 --> 01:04:20,360
Speaker 5: Well know, a friend of mine sent that to me

1132
01:04:20,440 --> 01:04:22,920
Speaker 5: last night. I didn't discover it on my own, and

1133
01:04:23,640 --> 01:04:25,800
Speaker 5: I kind of went what At first, I thought it

1134
01:04:25,840 --> 01:04:30,760
Speaker 5: could have been stakes, but I verified that it was legit,

1135
01:04:30,840 --> 01:04:35,320
Speaker 5: and so I am quite you know, flattered to receive

1136
01:04:35,760 --> 01:04:39,000
Speaker 5: that type of a compliment from a man who has

1137
01:04:39,360 --> 01:04:43,640
Speaker 5: literally been considered one of the biggest experts on the

1138
01:04:43,680 --> 01:04:47,560
Speaker 5: history of American politics, especially in you know, modern decades.

1139
01:04:48,280 --> 01:04:50,880
Speaker 5: He just is a font of information about, you know,

1140
01:04:50,960 --> 01:04:54,080
Speaker 5: so many things that have happened in our political world.

1141
01:04:54,120 --> 01:04:56,720
Speaker 5: And so for him to come out and say that

1142
01:04:57,000 --> 01:05:01,680
Speaker 5: it was an extraordinarily clear report, that was just a

1143
01:05:01,760 --> 01:05:05,800
Speaker 5: huge compliment, and I have had the opportunity to interview him. Oh,

1144
01:05:05,920 --> 01:05:07,919
Speaker 5: I think it was only one time, about a year

1145
01:05:08,000 --> 01:05:10,840
Speaker 5: year and a half ago about some historic things going

1146
01:05:10,840 --> 01:05:15,360
Speaker 5: on with the DRUMK campaign. So very gracious and I

1147
01:05:15,480 --> 01:05:18,960
Speaker 5: was indeed flattered, But the bottom line, beyond any flattery

1148
01:05:19,040 --> 01:05:21,960
Speaker 5: for me, I really do feel people need to be

1149
01:05:22,000 --> 01:05:25,160
Speaker 5: aware of this and do whatever they can to take

1150
01:05:25,160 --> 01:05:29,520
Speaker 5: a stand in this regard because our tax dollars. It's

1151
01:05:29,560 --> 01:05:34,960
Speaker 5: not us personally, because it's Minnesota. But still I'm willing

1152
01:05:34,960 --> 01:05:37,480
Speaker 5: to bet that there's a lot of other fraud out

1153
01:05:37,520 --> 01:05:41,080
Speaker 5: there along these lines that hasn't even been discovered, possibly

1154
01:05:41,120 --> 01:05:44,160
Speaker 5: in other states. If it's happening in that state, it

1155
01:05:44,240 --> 01:05:46,960
Speaker 5: quite possibly is happening as mother ones. But this just

1156
01:05:47,120 --> 01:05:49,760
Speaker 5: appears to be, you know, it's not a one off.

1157
01:05:49,920 --> 01:05:54,120
Speaker 5: It appears to be systemic. Is the problem in Minnesota?

1158
01:05:54,200 --> 01:05:56,600
Speaker 1: Well, if you could break it down for us, you

1159
01:05:56,640 --> 01:06:01,160
Speaker 1: do in the story three separate cases of all involving

1160
01:06:01,200 --> 01:06:05,520
Speaker 1: Minnesota's Somalian community, just kind of break it down for us. Jannis,

1161
01:06:05,560 --> 01:06:08,960
Speaker 1: and we are talking about millions and millions of dollars?

1162
01:06:09,040 --> 01:06:09,560
Speaker 2: Are we not.

1163
01:06:11,040 --> 01:06:12,120
Speaker 4: Actually billions?

1164
01:06:12,160 --> 01:06:16,240
Speaker 5: With a bee? Because the problem is that the scandals

1165
01:06:16,280 --> 01:06:23,080
Speaker 5: are so widespread that the US attorney, the prosecutor, you know,

1166
01:06:23,120 --> 01:06:26,000
Speaker 5: Ceneral prosecutor, has come out and said, there's going to

1167
01:06:26,040 --> 01:06:28,800
Speaker 5: be people get away with this just because they don't

1168
01:06:28,800 --> 01:06:33,920
Speaker 5: have the manpower to literally charge everybody who should be charged.

1169
01:06:34,360 --> 01:06:37,600
Speaker 5: And so the three scandals, as you alluded to, the

1170
01:06:37,640 --> 01:06:41,040
Speaker 5: first one involved a nonprofit called Feeding Our Future. Now

1171
01:06:41,040 --> 01:06:45,920
Speaker 5: that organization actually started pre pandemic, and there were already

1172
01:06:46,000 --> 01:06:48,720
Speaker 5: red flags being raised by people in the community about

1173
01:06:48,720 --> 01:06:51,680
Speaker 5: some things going on with that group as back in

1174
01:06:52,080 --> 01:06:54,240
Speaker 5: I think it formed in twenty seventeen, and it wasn't

1175
01:06:54,400 --> 01:06:57,480
Speaker 5: the twenty sixteen. It wasn't long after that that people

1176
01:06:57,480 --> 01:07:00,000
Speaker 5: started going, wait a minute, what's going on. Bottom line

1177
01:07:00,080 --> 01:07:03,360
Speaker 5: with that one is, you know, in the same thing

1178
01:07:03,360 --> 01:07:05,960
Speaker 5: actually with all three of the major scandals that I

1179
01:07:06,000 --> 01:07:11,400
Speaker 5: wrote about, they're they're all alleged to have basically inflated

1180
01:07:11,920 --> 01:07:16,360
Speaker 5: or made completely fraudulent claims to get money from the

1181
01:07:16,400 --> 01:07:20,200
Speaker 5: federal government for welfare programs. In this case, it was

1182
01:07:20,320 --> 01:07:23,080
Speaker 5: they were claiming one place, claimed that they fed up

1183
01:07:23,120 --> 01:07:26,160
Speaker 5: to three hundred thousand children in a couple of years

1184
01:07:26,160 --> 01:07:30,000
Speaker 5: spanning as a small organizations. Really you've fed three hundred

1185
01:07:30,040 --> 01:07:35,120
Speaker 5: thousand meals to kids. You're a small, small group. And

1186
01:07:35,240 --> 01:07:39,840
Speaker 5: so then the second scandal does involve it was Minnesota

1187
01:07:39,960 --> 01:07:43,320
Speaker 5: was the first state in the country to come up

1188
01:07:43,360 --> 01:07:47,320
Speaker 5: with this novel use of medicaid money. The idea was

1189
01:07:47,360 --> 01:07:49,560
Speaker 5: that there were a lot of people who are homeless

1190
01:07:49,640 --> 01:07:53,240
Speaker 5: do have like mental illness or you know, other like

1191
01:07:53,720 --> 01:07:57,360
Speaker 5: kind of related conditions. So that is the next is

1192
01:07:57,560 --> 01:08:00,440
Speaker 5: there so to speak, to try to get back money.

1193
01:08:00,680 --> 01:08:04,920
Speaker 5: And what happened there, according to the federal prosecutors, is

1194
01:08:04,960 --> 01:08:09,840
Speaker 5: that people would obtain names of eligible people and then

1195
01:08:10,000 --> 01:08:14,240
Speaker 5: use those names to make up completely false claims saying, oh, yeah,

1196
01:08:14,280 --> 01:08:17,640
Speaker 5: I got this person housing or maintain their housing at

1197
01:08:17,640 --> 01:08:21,799
Speaker 5: a lower rate or whatever. So that's the second scandal

1198
01:08:21,840 --> 01:08:26,120
Speaker 5: and the third one right now, there was only one

1199
01:08:26,160 --> 01:08:29,439
Speaker 5: person initially charged in this case, but they're saying that

1200
01:08:29,520 --> 01:08:34,320
Speaker 5: there should be many other indictments. A woman was charged

1201
01:08:34,360 --> 01:08:37,880
Speaker 5: with fourteen million dollars as you mentioned in fraud, and

1202
01:08:37,920 --> 01:08:42,559
Speaker 5: that was they recruited people in the Somali community. And

1203
01:08:42,640 --> 01:08:46,839
Speaker 5: all three of these cases have many or mostly so Mali,

1204
01:08:48,439 --> 01:08:51,080
Speaker 5: you know, accusing people in that community have been accused.

1205
01:08:51,360 --> 01:08:53,880
Speaker 5: And so in that case with the autism. They would

1206
01:08:53,880 --> 01:08:56,400
Speaker 5: go to the Somali community, Hey, come get your kid

1207
01:08:56,439 --> 01:09:00,720
Speaker 5: evaluated for autism. Well guess what. Hundred percent of the

1208
01:09:00,800 --> 01:09:07,120
Speaker 5: kids were diagnosed with federal program. Yeah yeah, where you

1209
01:09:07,160 --> 01:09:09,400
Speaker 5: get reimbursed for treating the kids. So that's the bottom

1210
01:09:09,439 --> 01:09:10,040
Speaker 5: line on that one.

1211
01:09:10,360 --> 01:09:13,920
Speaker 1: You know, I tell you, the obvious question becomes, Jannis,

1212
01:09:14,360 --> 01:09:17,679
Speaker 1: where is the oversight? I mean, you know, I said

1213
01:09:17,720 --> 01:09:22,000
Speaker 1: millions and millions. You corrected me saying billions. Where is

1214
01:09:22,080 --> 01:09:25,519
Speaker 1: the oversight on this? You know, this is a lot

1215
01:09:25,520 --> 01:09:27,639
Speaker 1: of money, a lot of taxpayers money.

1216
01:09:29,320 --> 01:09:33,000
Speaker 5: Well, absolutely, that first case, the one that's been developing

1217
01:09:33,040 --> 01:09:36,479
Speaker 5: the longest, defeating our future. One. Charges have been filed

1218
01:09:36,479 --> 01:09:39,479
Speaker 5: in that case in twenty twenty two, and so far

1219
01:09:39,680 --> 01:09:43,880
Speaker 5: seventy eight people have been charged. And what I understand,

1220
01:09:44,000 --> 01:09:46,240
Speaker 5: the Feds aren't done with that one yet. The other

1221
01:09:46,320 --> 01:09:50,320
Speaker 5: two scandals are literally just surfacing. Those came out in September.

1222
01:09:50,720 --> 01:09:53,920
Speaker 5: So following that, there was an article written and I

1223
01:09:53,960 --> 01:09:56,800
Speaker 5: could give credit to where credit is due to the

1224
01:09:56,840 --> 01:10:00,000
Speaker 5: City Journal, which is a publication of the Manhattan Is.

1225
01:10:00,800 --> 01:10:04,599
Speaker 5: They were able to get intelligence sources that I don't

1226
01:10:04,600 --> 01:10:07,800
Speaker 5: have to come on, come on, you know, at least

1227
01:10:08,120 --> 01:10:11,000
Speaker 5: you know anonymously, but to say that the money that

1228
01:10:11,120 --> 01:10:15,560
Speaker 5: is going back to Somalia from these Somalian alleged fraudsters

1229
01:10:15,880 --> 01:10:18,760
Speaker 5: is a kind of that's going to al Shabab, the

1230
01:10:18,880 --> 01:10:22,760
Speaker 5: terrorism group. So that adds kind of insult to injury here.

1231
01:10:23,240 --> 01:10:26,960
Speaker 5: So that really up to the outrage causing President Trump

1232
01:10:27,040 --> 01:10:32,360
Speaker 5: to go ahead and discontinue what's called temporary protected status,

1233
01:10:32,400 --> 01:10:36,800
Speaker 5: which is basically a shield against deportation for the Somalis

1234
01:10:36,800 --> 01:10:40,679
Speaker 5: in Minnesota. There are people on the other side were

1235
01:10:40,720 --> 01:10:43,600
Speaker 5: decrying that as being you know, oh, he's the anti Somalian,

1236
01:10:44,120 --> 01:10:47,800
Speaker 5: and it's almost like they weren't connecting it to the

1237
01:10:48,600 --> 01:10:51,400
Speaker 5: allegations and in a lot of cases already proven. There

1238
01:10:51,439 --> 01:10:54,320
Speaker 5: have been many people already convicted. I think it's over

1239
01:10:54,439 --> 01:10:59,000
Speaker 5: fifty have been convicted at first scandal and so of

1240
01:11:00,080 --> 01:11:03,760
Speaker 5: literally taking advantage of this country to the point where

1241
01:11:03,479 --> 01:11:07,760
Speaker 5: they're gif flauding the government, not just reaping benefits to

1242
01:11:07,800 --> 01:11:09,000
Speaker 5: which they're entitled.

1243
01:11:09,160 --> 01:11:12,400
Speaker 1: Right, Yeah, this isn't some welfare cheat sitting at home

1244
01:11:13,280 --> 01:11:16,519
Speaker 1: eating potato chips and watching TV on the taxpayer's dime.

1245
01:11:16,600 --> 01:11:21,679
Speaker 1: I mean, unbelievable billions of dollars involved. I just wanted

1246
01:11:21,680 --> 01:11:23,960
Speaker 1: to read you one paragraph that caught my eye of

1247
01:11:23,960 --> 01:11:27,960
Speaker 1: your story talking about Somalia and being steeped in public

1248
01:11:28,040 --> 01:11:32,080
Speaker 1: sector corruption. These immigrants come from a nation steeped in

1249
01:11:32,200 --> 01:11:37,120
Speaker 1: public sector corruption. Somalia ranks as the world's second most

1250
01:11:37,120 --> 01:11:40,360
Speaker 1: corrupt nation according to something that I didn't even know

1251
01:11:40,439 --> 01:11:46,560
Speaker 1: this existed, the Corruption Perception Index. That ranking that Somalia

1252
01:11:46,600 --> 01:11:51,759
Speaker 1: got is that nine points on a scale of one hundred,

1253
01:11:52,280 --> 01:11:56,479
Speaker 1: one hundred means very clean. Only South Sudan was worse.

1254
01:11:56,880 --> 01:12:00,360
Speaker 1: They had all of eight points. The United States scored

1255
01:12:00,600 --> 01:12:06,280
Speaker 1: sixty five. The world's least corrupt country, Denmark got ninety points.

1256
01:12:06,640 --> 01:12:09,840
Speaker 1: I guess all that's a way of asking, I mean,

1257
01:12:09,840 --> 01:12:13,280
Speaker 1: this stuff's public knowledge, is it not. And wouldn't you

1258
01:12:13,400 --> 01:12:17,679
Speaker 1: think at the state level, in federal inspectors too, somebody

1259
01:12:17,720 --> 01:12:20,360
Speaker 1: would have figured this out before. And I know you

1260
01:12:20,400 --> 01:12:24,400
Speaker 1: said the one started one prosecution in twenty twenty four.

1261
01:12:24,880 --> 01:12:28,000
Speaker 1: You just wonder, you know, who's watching the piggy bank here?

1262
01:12:28,160 --> 01:12:29,960
Speaker 1: Apparently nobody, Well there.

1263
01:12:29,920 --> 01:12:33,360
Speaker 5: Was, Yeah, there was a report done in regard to

1264
01:12:33,400 --> 01:12:35,360
Speaker 5: that feeding our future scan of the one that's been

1265
01:12:35,400 --> 01:12:38,840
Speaker 5: brewing the longest, and you know they came right out

1266
01:12:38,880 --> 01:12:42,960
Speaker 5: and staid in this independent audit that there were many

1267
01:12:43,040 --> 01:12:47,080
Speaker 5: steps that were you know, red flags that were basically ignored.

1268
01:12:47,640 --> 01:12:51,120
Speaker 5: So that's the problem there. I mean again, you know,

1269
01:12:51,320 --> 01:12:55,920
Speaker 5: how can you have a very small organization claiming to

1270
01:12:55,960 --> 01:12:59,760
Speaker 5: serve three hundred thousand meals? It just doesn't even you know,

1271
01:13:00,080 --> 01:13:00,559
Speaker 5: makes sense.

1272
01:13:01,000 --> 01:13:04,080
Speaker 1: You know, do you know if anyone has tried to

1273
01:13:04,120 --> 01:13:10,000
Speaker 1: hold the governor of Minnesota not necessarily responsible, but at

1274
01:13:10,080 --> 01:13:13,679
Speaker 1: least accountable for this, because you know, Mike DeWine here

1275
01:13:13,880 --> 01:13:17,880
Speaker 1: in Ohio, if this was going on here, he would

1276
01:13:17,880 --> 01:13:20,200
Speaker 1: have known about it, he would have done something about it.

1277
01:13:20,640 --> 01:13:22,800
Speaker 1: I don't think Tim Waltz should get a pass on this,

1278
01:13:22,920 --> 01:13:25,720
Speaker 1: and I know that's not your Bailey Wick, but did

1279
01:13:25,760 --> 01:13:28,120
Speaker 1: you find anything where he had knowledge of this or

1280
01:13:28,200 --> 01:13:29,760
Speaker 1: is doing anything about it?

1281
01:13:32,200 --> 01:13:32,400
Speaker 4: Well?

1282
01:13:32,479 --> 01:13:36,040
Speaker 5: Yes, actually he did come out and you know condemn

1283
01:13:36,640 --> 01:13:39,720
Speaker 5: the Feeding our Future, which well, I was in Minnesota

1284
01:13:39,880 --> 01:13:43,200
Speaker 5: to cover the marriage race, which, as you remember, there

1285
01:13:43,280 --> 01:13:45,880
Speaker 5: was a Democrat socialist running and he ended up losing

1286
01:13:45,920 --> 01:13:49,840
Speaker 5: to the incumbent, more moderate Democrat mayor. I was there

1287
01:13:49,920 --> 01:13:52,400
Speaker 5: and I did pick up on a vibe of people

1288
01:13:52,479 --> 01:13:58,360
Speaker 5: being really upset regarding this Feeding our Future scandal that

1289
01:13:58,840 --> 01:14:03,040
Speaker 5: the other guy own Fate who was the Democratic Socialist

1290
01:14:03,200 --> 01:14:06,760
Speaker 5: guy from Somalia, or actually wasn't. He wasn't born there.

1291
01:14:06,800 --> 01:14:11,080
Speaker 5: He was born here to Somalian parents, correcting himself. So anyway,

1292
01:14:11,160 --> 01:14:16,760
Speaker 5: he had some connections to people in that whole scandal,

1293
01:14:17,240 --> 01:14:19,639
Speaker 5: and there were quite a number of people I spoke

1294
01:14:19,720 --> 01:14:25,160
Speaker 5: to who resent that scandal very, very highly, and they

1295
01:14:25,680 --> 01:14:29,479
Speaker 5: were critical also of Governor Waltz. But Governor Waltz did

1296
01:14:29,479 --> 01:14:34,040
Speaker 5: come out and condemn the scandal itself and has taken

1297
01:14:34,120 --> 01:14:38,400
Speaker 5: some action. For example, just recently, I think it was

1298
01:14:38,439 --> 01:14:41,519
Speaker 5: at the end of October, he issued an order that

1299
01:14:41,560 --> 01:14:48,000
Speaker 5: they were going to halt temporarily fourteen medicaid programs. And

1300
01:14:48,040 --> 01:14:51,280
Speaker 5: so the three scandals we just talked about, those are

1301
01:14:51,680 --> 01:14:57,080
Speaker 5: just the three biggest ones. There are fourteen medicaid programs

1302
01:14:57,120 --> 01:15:01,760
Speaker 5: that he is temporarily stopping. Evenson will they have an

1303
01:15:01,800 --> 01:15:04,519
Speaker 5: independent audit for guess what fraud?

1304
01:15:05,360 --> 01:15:05,800
Speaker 4: You know what?

1305
01:15:06,640 --> 01:15:10,240
Speaker 1: This defies belief really, I mean, but and there's one

1306
01:15:11,400 --> 01:15:13,960
Speaker 1: two sentenced paragraph, and I just wanted to get your

1307
01:15:14,520 --> 01:15:17,439
Speaker 1: reaction to this. I mean, you wrote it, Okay. The

1308
01:15:17,479 --> 01:15:23,280
Speaker 1: state's Education Commissioner, Willie L. Jet the third, defended his

1309
01:15:23,520 --> 01:15:28,200
Speaker 1: agencies oversight of the programs. He said, the agency reported

1310
01:15:28,280 --> 01:15:32,600
Speaker 1: suspicions and concerns to law enforcement. I mean, do you

1311
01:15:32,760 --> 01:15:34,519
Speaker 1: find that to be a credible statement?

1312
01:15:36,520 --> 01:15:39,760
Speaker 5: Huh, well, I don't want to necessarily, come on. I

1313
01:15:39,840 --> 01:15:43,760
Speaker 5: think it speaks for itself. You know. He that was

1314
01:15:43,800 --> 01:15:46,759
Speaker 5: his side of it. It was important to include that, understand,

1315
01:15:47,080 --> 01:15:51,880
Speaker 5: But certainly the report that I read does come right

1316
01:15:51,920 --> 01:15:54,479
Speaker 5: out and just you know, lay a lot of blame

1317
01:15:54,600 --> 01:15:58,160
Speaker 5: on the agency. He was defending the agency byline.

1318
01:15:58,280 --> 01:15:58,479
Speaker 3: Yeah.

1319
01:15:58,520 --> 01:16:01,760
Speaker 1: I mean, somebody a person like that doing that, not

1320
01:16:01,880 --> 01:16:05,120
Speaker 1: doing the job, I think probably ought to be terminated.

1321
01:16:05,160 --> 01:16:06,120
Speaker 2: But I don't know.

1322
01:16:06,160 --> 01:16:08,840
Speaker 1: It's Minnesota, so you know, I guess some people get

1323
01:16:08,880 --> 01:16:09,240
Speaker 1: a pass.

1324
01:16:09,520 --> 01:16:09,680
Speaker 10: Mike.

1325
01:16:09,760 --> 01:16:13,840
Speaker 5: I would like to tell you about another kind of

1326
01:16:13,920 --> 01:16:16,160
Speaker 5: slice of this. There are so many branches of this.

1327
01:16:16,520 --> 01:16:20,160
Speaker 5: I could probably stay busy for several years just covering

1328
01:16:20,320 --> 01:16:23,320
Speaker 5: even the basics. There's so much. But one of the

1329
01:16:23,360 --> 01:16:26,720
Speaker 5: things that a lot of people are outraged about is

1330
01:16:26,920 --> 01:16:31,080
Speaker 5: just recently a judge overturned a jury's verdict, and you,

1331
01:16:31,640 --> 01:16:35,200
Speaker 5: being in a former judge and a prosecutor yourself, know

1332
01:16:35,320 --> 01:16:38,160
Speaker 5: how unusual that is. This jury verdict where a fan

1333
01:16:38,439 --> 01:16:42,599
Speaker 5: was convicted of seven point two million dollars worth of

1334
01:16:43,080 --> 01:16:48,320
Speaker 5: Medicaid fraud, claiming to run a home healthcare agency that

1335
01:16:48,479 --> 01:16:52,639
Speaker 5: from a mail box. I am not making this up. Wow,

1336
01:16:52,680 --> 01:16:55,200
Speaker 5: and the jurors from what I read some other reports,

1337
01:16:55,200 --> 01:16:57,680
Speaker 5: again not my reporting, but I will be checking into this.

1338
01:16:58,720 --> 01:17:02,840
Speaker 5: People are really upset over this reversal of the jury verdict.

1339
01:17:02,960 --> 01:17:05,240
Speaker 5: I do not know the ins and outs, but again,

1340
01:17:05,920 --> 01:17:08,880
Speaker 5: that seven point two million dollars is a fair chunk

1341
01:17:08,880 --> 01:17:12,040
Speaker 5: of change for one person, and you know, it's my

1342
01:17:12,120 --> 01:17:14,360
Speaker 5: belief that he only has maybe one I don't know

1343
01:17:14,360 --> 01:17:16,719
Speaker 5: how many people, for sure are involved with that one.

1344
01:17:16,960 --> 01:17:19,000
Speaker 5: But for one person or a few people to split

1345
01:17:19,040 --> 01:17:21,160
Speaker 5: seven point two million, that's that's like you're one in

1346
01:17:21,200 --> 01:17:23,760
Speaker 5: the lottery there, right, And I believe that's what you're doing,

1347
01:17:23,840 --> 01:17:25,640
Speaker 5: is reaping it from taxpayers.

1348
01:17:25,920 --> 01:17:28,840
Speaker 1: And as you point out, you're absolutely right. I mean

1349
01:17:28,880 --> 01:17:30,680
Speaker 1: I can count on one hand. I don't need all

1350
01:17:30,720 --> 01:17:33,160
Speaker 1: my fingers to tell you the number of times that's

1351
01:17:33,160 --> 01:17:36,160
Speaker 1: happened here locally. The whole thing about a judge overruling

1352
01:17:36,240 --> 01:17:39,160
Speaker 1: a jury verdict, I mean, there's got to be there's

1353
01:17:39,200 --> 01:17:42,839
Speaker 1: got to be something to that. The whole thing stinks

1354
01:17:42,880 --> 01:17:46,360
Speaker 1: to high heavens. Janis I mean, I would assume, based

1355
01:17:46,400 --> 01:17:49,920
Speaker 1: on the gravity of this, and you're great reporting on it,

1356
01:17:49,960 --> 01:17:51,919
Speaker 1: you're going to stay on this story right.

1357
01:17:53,439 --> 01:17:57,280
Speaker 5: Absolutely. In fact, I have several spinoff stories that are

1358
01:17:57,280 --> 01:18:02,719
Speaker 5: in the worst, but we did have Thanksgiving and so boy,

1359
01:18:02,760 --> 01:18:05,799
Speaker 5: I tell you, there are a lot of questions about

1360
01:18:06,160 --> 01:18:10,000
Speaker 5: higher ups in government in Minnesota. You know, one person

1361
01:18:10,040 --> 01:18:11,960
Speaker 5: put it this way I think was actually a congresswoman,

1362
01:18:12,040 --> 01:18:15,840
Speaker 5: Nancy May said this about ilhan Omar be So Molly,

1363
01:18:15,880 --> 01:18:19,800
Speaker 5: congresswoman from that area. What did ilhan Omar know and

1364
01:18:19,840 --> 01:18:20,519
Speaker 5: when did she know?

1365
01:18:20,720 --> 01:18:24,960
Speaker 13: Yes, that that has been a big question out there,

1366
01:18:25,400 --> 01:18:29,639
Speaker 13: and also questions regarding Tim Waltz, other people who either

1367
01:18:29,720 --> 01:18:32,760
Speaker 13: knew or perhaps should have known about.

1368
01:18:32,560 --> 01:18:36,040
Speaker 5: The extent of this. This is I really do think

1369
01:18:36,080 --> 01:18:40,960
Speaker 5: this is probably the most massive welfare fraud case in I've.

1370
01:18:40,760 --> 01:18:42,320
Speaker 11: Ever heard of in United States history.

1371
01:18:42,360 --> 01:18:44,800
Speaker 5: I mean, I haven't verified that for sure, but I

1372
01:18:45,040 --> 01:18:48,400
Speaker 5: can't think yntey it comes close. I've heard estimates as

1373
01:18:48,479 --> 01:18:50,960
Speaker 5: high as sixteen billion.

1374
01:18:50,640 --> 01:18:52,400
Speaker 2: Dollars total across all the.

1375
01:18:52,400 --> 01:18:55,880
Speaker 5: Scandals, not to see three, so I don't I haven't

1376
01:18:55,920 --> 01:18:58,000
Speaker 5: again verified that, but that is a report I have

1377
01:18:58,120 --> 01:19:02,599
Speaker 5: seen an estimate. I've seen, uh so lots and lots

1378
01:19:02,640 --> 01:19:04,840
Speaker 5: of work for me and others to do to try

1379
01:19:04,880 --> 01:19:08,440
Speaker 5: to bring this to the public's attention. And the presidential

1380
01:19:08,479 --> 01:19:11,639
Speaker 5: action has already been taken, and from what I've seen,

1381
01:19:11,840 --> 01:19:16,560
Speaker 5: uh does look like there's been some crackdowns. This combined

1382
01:19:16,640 --> 01:19:21,799
Speaker 5: with the Afghany assassination of one of our National guardsmen

1383
01:19:22,200 --> 01:19:26,599
Speaker 5: and the grave, grave wounding of the second gardens iding

1384
01:19:26,640 --> 01:19:30,439
Speaker 5: for his life. Uh that you know, there's a lot

1385
01:19:30,439 --> 01:19:34,360
Speaker 5: of concern about, you know, raising to kind of a

1386
01:19:34,400 --> 01:19:39,320
Speaker 5: critical point of awareness. Look at how much immigrants are

1387
01:19:39,400 --> 01:19:42,400
Speaker 5: receiving benefits from the country and then you thank them,

1388
01:19:42,439 --> 01:19:45,639
Speaker 5: either by fraud or by violence. You know that that's

1389
01:19:45,720 --> 01:19:49,760
Speaker 5: what President Trump is doing now, taking action to to

1390
01:19:49,920 --> 01:19:55,240
Speaker 5: cut off benefits like that. And Americans, you know, from

1391
01:19:55,320 --> 01:19:58,080
Speaker 5: what I've seen, I've heard so many people say how

1392
01:19:58,120 --> 01:20:01,040
Speaker 5: set up they are, so many people are completely bet up.

1393
01:20:01,080 --> 01:20:03,320
Speaker 1: Well, it sounds to me, Janis Hail like you just

1394
01:20:03,400 --> 01:20:06,400
Speaker 1: hit the tip of the iceberg here. I'm glad, and

1395
01:20:06,479 --> 01:20:09,320
Speaker 1: I'm sure the taxpayers of this country are going to

1396
01:20:09,360 --> 01:20:12,080
Speaker 1: be glad that you're on top of this thing. It's

1397
01:20:12,240 --> 01:20:15,479
Speaker 1: just I've never seen or heard anything like it, and

1398
01:20:15,760 --> 01:20:17,920
Speaker 1: we really appreciate you sharing with.

1399
01:20:17,840 --> 01:20:21,559
Speaker 5: Us yeah, well at least it doesn't. Here there are

1400
01:20:21,760 --> 01:20:26,120
Speaker 5: some serious actions being taken, and it's just it speaks

1401
01:20:26,160 --> 01:20:29,759
Speaker 5: volumes that the Department Justice said, we can't charge everybody.

1402
01:20:30,160 --> 01:20:31,799
Speaker 4: True, it's traffic. True.

1403
01:20:32,040 --> 01:20:38,280
Speaker 1: All right, Janie, thanks again, thank you? Okay, all right, Wow,

1404
01:20:38,439 --> 01:20:43,040
Speaker 1: I mean, are you soaking all that in billions of dollars?

1405
01:20:43,600 --> 01:20:45,920
Speaker 2: And who was minding the store?

1406
01:20:46,040 --> 01:20:49,839
Speaker 1: I just I refuse to believe that, you know, people

1407
01:20:49,920 --> 01:20:53,840
Speaker 1: in positions of authority did not know the extent of it. Now,

1408
01:20:54,000 --> 01:20:58,040
Speaker 1: Janie did point out that one of these problems started

1409
01:20:58,080 --> 01:21:02,080
Speaker 1: being prosecuted in twenty twenty two, I think she said,

1410
01:21:02,080 --> 01:21:04,360
Speaker 1: but we're going to hang on to this. We're going

1411
01:21:04,439 --> 01:21:07,280
Speaker 1: to keep on to it too. And again just point

1412
01:21:07,360 --> 01:21:11,000
Speaker 1: out to you that none other than former Speaker of

1413
01:21:11,000 --> 01:21:15,360
Speaker 1: the House Nuke Gingrish recognized her yesterday in the story,

1414
01:21:15,360 --> 01:21:16,920
Speaker 1: and I know she'll stay on it.

1415
01:21:16,960 --> 01:21:18,080
Speaker 2: Hey, we got us take a break.

1416
01:21:18,080 --> 01:21:20,800
Speaker 1: But when we get back open lines seven four, nine,

1417
01:21:20,840 --> 01:21:24,320
Speaker 1: seven thousand, one, eight hundred, the big one are the numbers.

1418
01:21:24,560 --> 01:21:28,559
Speaker 1: After we get our mystery guest coming out of the news,

1419
01:21:28,880 --> 01:21:30,519
Speaker 1: Mike Allen, Saturday midday.

1420
01:21:30,800 --> 01:21:33,840
Speaker 4: This is what they call the hart Cell Sunday.

1421
01:21:33,520 --> 01:21:39,920
Speaker 1: Yard eleven thirty nine News Radio seven hundred WLW Mike

1422
01:21:39,960 --> 01:21:42,559
Speaker 1: Allen Saturday midday closing half hour.

1423
01:21:43,439 --> 01:21:45,840
Speaker 2: Well, I'll tell you what. In about a half.

1424
01:21:45,640 --> 01:21:49,960
Speaker 1: Hour, something big is going to be happening, and that

1425
01:21:50,160 --> 01:21:54,040
Speaker 1: is Ohio State Michigan on the hotline. Here, I have

1426
01:21:54,560 --> 01:21:59,640
Speaker 1: the biggest Ohio State Buckeye fanatic that I know. That

1427
01:21:59,680 --> 01:22:02,960
Speaker 1: happened to be my son. Heard here Sunday Nights on

1428
01:22:03,400 --> 01:22:05,160
Speaker 1: the Big One, Mike Allen Jr.

1429
01:22:05,479 --> 01:22:06,800
Speaker 2: Mike, thanks for joining us.

1430
01:22:07,640 --> 01:22:10,680
Speaker 12: Hey, no problem, man, trying to call my heart rate

1431
01:22:10,720 --> 01:22:11,160
Speaker 12: a little bit.

1432
01:22:11,439 --> 01:22:14,240
Speaker 4: In about twenty minutes, this house is going to be loud.

1433
01:22:14,400 --> 01:22:16,680
Speaker 1: Well, you know what, let me get it jumped up

1434
01:22:16,680 --> 01:22:18,800
Speaker 1: a little bit. I just wanted to ask you, did

1435
01:22:18,880 --> 01:22:21,640
Speaker 1: you see last night where Saint X they're going to

1436
01:22:21,680 --> 01:22:22,920
Speaker 1: the state championships?

1437
01:22:23,240 --> 01:22:23,759
Speaker 2: Your thoughts?

1438
01:22:23,800 --> 01:22:24,640
Speaker 4: Yeah?

1439
01:22:24,720 --> 01:22:26,800
Speaker 12: Yeah, I mean I'll say this, man, they had to

1440
01:22:26,800 --> 01:22:28,840
Speaker 12: play their best game to beat Elder the other night

1441
01:22:28,960 --> 01:22:30,960
Speaker 12: last week they played their best game. I actually was

1442
01:22:31,000 --> 01:22:34,240
Speaker 12: at the gym this morning and I saw some younger

1443
01:22:34,240 --> 01:22:36,679
Speaker 12: guys and St X stuff talking about it, and I said, hey,

1444
01:22:36,960 --> 01:22:39,400
Speaker 12: until you guys go get two in a row, you

1445
01:22:39,439 --> 01:22:41,679
Speaker 12: don't match to an elder guy. And they started laughing,

1446
01:22:41,720 --> 01:22:44,839
Speaker 12: and I said, hey, guys, GCL go win the thing exactly.

1447
01:22:44,920 --> 01:22:47,479
Speaker 12: Might be the only time someone with the last name

1448
01:22:47,600 --> 01:22:50,080
Speaker 12: Allen here for the Saint X Bombers.

1449
01:22:50,720 --> 01:22:52,439
Speaker 1: I just gave him a hell of a build up,

1450
01:22:52,479 --> 01:22:54,599
Speaker 1: you know. As a matter of fact, Liam tells me

1451
01:22:54,600 --> 01:22:58,240
Speaker 1: we've got some calls. I forgot to mention Anderson is

1452
01:22:58,280 --> 01:23:00,960
Speaker 1: going up state. They beat big one. I've never heard

1453
01:23:01,000 --> 01:23:03,760
Speaker 1: of that before, but two of them going up state.

1454
01:23:03,800 --> 01:23:07,640
Speaker 1: But anyway, enough of that, unless do you have just shows.

1455
01:23:07,360 --> 01:23:09,360
Speaker 4: How big football is in the state of Ohio.

1456
01:23:09,439 --> 01:23:13,000
Speaker 2: Yeah, in the gCO, absolutely, yes, sir.

1457
01:23:13,160 --> 01:23:16,719
Speaker 1: Okay, I introduced you, Mike as the biggest Ohio State

1458
01:23:16,760 --> 01:23:20,839
Speaker 1: Buckeye fanatic that I know of. Uh, you might remember

1459
01:23:20,960 --> 01:23:24,280
Speaker 1: when you have a memory like I couldn't believe when

1460
01:23:24,320 --> 01:23:27,000
Speaker 1: you were growing up, we kind of split it between

1461
01:23:27,040 --> 01:23:31,479
Speaker 1: OSU and Notre Dame. Yeah, and you made a turn

1462
01:23:31,560 --> 01:23:34,080
Speaker 1: to Ohio State. What brought that on?

1463
01:23:35,120 --> 01:23:37,680
Speaker 12: Your mom did? To be be honest with you, it

1464
01:23:37,800 --> 01:23:41,519
Speaker 12: was our grandmother. Yeah, And I remember I had stopped

1465
01:23:41,560 --> 01:23:42,360
Speaker 12: by her place.

1466
01:23:42,880 --> 01:23:44,200
Speaker 4: It was on the Saturday of the.

1467
01:23:44,120 --> 01:23:46,240
Speaker 12: Ohio State and Michigan game, and I'd stop by her

1468
01:23:46,280 --> 01:23:48,439
Speaker 12: place maybe an hour or so before it was when

1469
01:23:48,479 --> 01:23:50,080
Speaker 12: I was well, actually, you know what it was when.

1470
01:23:49,920 --> 01:23:51,719
Speaker 4: I was going up to Columbus for the game.

1471
01:23:52,479 --> 01:23:54,200
Speaker 12: And honestly, it was to just do one of those

1472
01:23:54,240 --> 01:23:56,000
Speaker 12: you show up at grandma's house and she may give

1473
01:23:56,000 --> 01:23:59,679
Speaker 12: you twenty bucks just for showing up. But we started

1474
01:23:59,680 --> 01:24:01,479
Speaker 12: talking about it, and we were talking about how expensive

1475
01:24:01,520 --> 01:24:04,200
Speaker 12: tickets were, and she said, you know, your grandfather and

1476
01:24:04,280 --> 01:24:07,800
Speaker 12: I would sell our Ohio State Michigan tickets to pay

1477
01:24:07,840 --> 01:24:10,200
Speaker 12: a month to rent when they were living up there. Yeah,

1478
01:24:10,680 --> 01:24:13,200
Speaker 12: and just the history of it, and and your dad

1479
01:24:13,280 --> 01:24:16,439
Speaker 12: and you and I watching Joe Jermain and and the

1480
01:24:16,479 --> 01:24:19,280
Speaker 12: buck Eyes in the nineties, always losing the Michigan. It

1481
01:24:19,400 --> 01:24:22,600
Speaker 12: just got this this hatred and reel lack of a

1482
01:24:22,640 --> 01:24:26,040
Speaker 12: better term, And it's it's that.

1483
01:24:26,240 --> 01:24:27,920
Speaker 4: I think that's what's so cool about.

1484
01:24:27,640 --> 01:24:30,760
Speaker 12: This game is the way it it goes through families,

1485
01:24:30,880 --> 01:24:32,639
Speaker 12: you know what I mean. There's people in our family.

1486
01:24:32,840 --> 01:24:37,120
Speaker 12: We have a Michigan alum, your nephew Keith, my cousin,

1487
01:24:37,160 --> 01:24:40,000
Speaker 12: your nephew Danny Allen is a huge Michigan fan, and

1488
01:24:40,040 --> 01:24:41,600
Speaker 12: then his brother Joey.

1489
01:24:41,880 --> 01:24:43,320
Speaker 4: Is a massive Ohio State fan.

1490
01:24:43,439 --> 01:24:45,960
Speaker 12: So I think that's what's so cool about it, and

1491
01:24:46,000 --> 01:24:49,120
Speaker 12: it's I really do think this. I do not think

1492
01:24:49,560 --> 01:24:53,160
Speaker 12: there are two teams in the existence of sport that

1493
01:24:53,240 --> 01:24:54,400
Speaker 12: hate each other more.

1494
01:24:55,760 --> 01:24:57,960
Speaker 4: And what I like about it is you have all of.

1495
01:24:57,880 --> 01:25:00,320
Speaker 12: These players, you know, the buck Eyes, you to just

1496
01:25:00,400 --> 01:25:03,080
Speaker 12: recruit mostly out of Ohio. They got guys from Florida,

1497
01:25:03,120 --> 01:25:04,639
Speaker 12: California and everywhere in between.

1498
01:25:04,760 --> 01:25:09,160
Speaker 4: Right when they get there. They could people go to Ohio.

1499
01:25:08,760 --> 01:25:11,479
Speaker 12: State Michigan to play in this game, to play in

1500
01:25:11,520 --> 01:25:13,240
Speaker 12: the biggest rivalry in all of sports.

1501
01:25:13,280 --> 01:25:16,639
Speaker 4: And you know, I there was a long while there.

1502
01:25:16,560 --> 01:25:19,880
Speaker 12: Where Ohio State sort of dominated. Now Michigan has been dominating.

1503
01:25:19,880 --> 01:25:21,479
Speaker 12: And it was one of those things where I meant

1504
01:25:21,479 --> 01:25:24,920
Speaker 12: this just as a fan of college football, we needed

1505
01:25:24,960 --> 01:25:27,080
Speaker 12: and when I say we, I mean college football as

1506
01:25:27,080 --> 01:25:29,720
Speaker 12: a whole, and especially Ohio State needed that to be

1507
01:25:29,760 --> 01:25:32,320
Speaker 12: a rivalry again. And I'm telling you what, man, the

1508
01:25:32,400 --> 01:25:35,120
Speaker 12: last four or five years, it is one thousand percent

1509
01:25:35,120 --> 01:25:36,160
Speaker 12: of rivalry.

1510
01:25:35,720 --> 01:25:39,320
Speaker 1: Again, no question about it. The guy I'm going to

1511
01:25:39,360 --> 01:25:41,280
Speaker 1: ask you, I know, you know it just for conversation

1512
01:25:41,400 --> 01:25:44,320
Speaker 1: saying the guy that coined the term that would not

1513
01:25:44,600 --> 01:25:49,320
Speaker 1: refer to Michigan as Michigan, but that team up north,

1514
01:25:50,120 --> 01:25:54,000
Speaker 1: none other in whatdy Hayes Am I right about that, absolutely?

1515
01:25:54,040 --> 01:25:54,679
Speaker 4: And what's funny?

1516
01:25:54,720 --> 01:25:54,880
Speaker 11: Man?

1517
01:25:54,880 --> 01:25:58,559
Speaker 12: And I know you know this Woodrow Hayes Allen, my

1518
01:25:58,640 --> 01:26:02,400
Speaker 12: German shepherds is actually sitting right next to me.

1519
01:26:02,400 --> 01:26:03,400
Speaker 4: Getting ready to watch again.

1520
01:26:03,439 --> 01:26:05,920
Speaker 12: Every dog I've had for the last fifteen years has

1521
01:26:05,920 --> 01:26:07,200
Speaker 12: been named after a Buckeye.

1522
01:26:07,840 --> 01:26:09,920
Speaker 2: I know that.

1523
01:26:10,120 --> 01:26:12,200
Speaker 1: But yeah, you couldn't have anything to do with your

1524
01:26:12,200 --> 01:26:14,200
Speaker 1: beautiful wife being a graduate from there.

1525
01:26:15,640 --> 01:26:18,920
Speaker 4: No, of course, not okay, but no, it's it's funny.

1526
01:26:18,920 --> 01:26:20,960
Speaker 12: I mean, you go up the further north, you go

1527
01:26:21,000 --> 01:26:24,240
Speaker 12: up in Ohio, you see every single word, whether it's

1528
01:26:24,240 --> 01:26:27,120
Speaker 12: on a sign or a name tag or something like that,

1529
01:26:27,120 --> 01:26:29,120
Speaker 12: that's got an eminent has a big X through it.

1530
01:26:29,240 --> 01:26:32,040
Speaker 4: So you know, it's one of these things.

1531
01:26:31,800 --> 01:26:35,640
Speaker 12: Where people ask themselves, you know how they hell, the

1532
01:26:35,640 --> 01:26:37,680
Speaker 12: two teams end up hating each other so much, and

1533
01:26:37,800 --> 01:26:41,080
Speaker 12: I mean it literally goes back to the two state

1534
01:26:41,160 --> 01:26:43,880
Speaker 12: militias almost going to war with each other.

1535
01:26:44,320 --> 01:26:45,280
Speaker 2: I didn't hear that one.

1536
01:26:46,040 --> 01:26:46,479
Speaker 4: Oh yeah.

1537
01:26:46,520 --> 01:26:51,040
Speaker 12: So in eighteen thirty something, Governor John Bell of the

1538
01:26:51,080 --> 01:26:54,840
Speaker 12: state of Ohio laid claim to the Toledo Strip right

1539
01:26:54,880 --> 01:26:58,719
Speaker 12: there near Allen County where or up north of Allen

1540
01:26:58,800 --> 01:27:02,240
Speaker 12: County where you know Ohio and Michigan right right, and

1541
01:27:02,320 --> 01:27:04,720
Speaker 12: there was a big fight. Ohio was a state at

1542
01:27:04,720 --> 01:27:07,760
Speaker 12: that time, I don't think Michigan was. Ohio said hey,

1543
01:27:07,760 --> 01:27:09,920
Speaker 12: this whole strip right here is ours, and we're willing

1544
01:27:09,960 --> 01:27:12,280
Speaker 12: to pick up guns over it. And it got to

1545
01:27:12,320 --> 01:27:15,160
Speaker 12: the point where literally the governor of Ohio called up

1546
01:27:15,720 --> 01:27:19,519
Speaker 12: the state militia, armed them, got them to the border,

1547
01:27:19,920 --> 01:27:22,960
Speaker 12: and they two state militias were about to start going

1548
01:27:23,040 --> 01:27:27,840
Speaker 12: literally shooting at each other. President Andrew Jackson actually get

1549
01:27:27,880 --> 01:27:30,920
Speaker 12: involved and basically say, if any of you shoot at

1550
01:27:30,920 --> 01:27:31,679
Speaker 12: each other, I'm.

1551
01:27:31,560 --> 01:27:32,240
Speaker 4: Hanging all of you.

1552
01:27:32,479 --> 01:27:36,320
Speaker 12: So what happened was Ohio was given the Toledo Strip

1553
01:27:36,360 --> 01:27:40,719
Speaker 12: in exchange for Michigan being granted statehood by the federal government.

1554
01:27:40,800 --> 01:27:44,560
Speaker 12: And they actually got the Mitten, like the northern peninsula

1555
01:27:44,560 --> 01:27:47,439
Speaker 12: of Michigan in exchange. So at the time it seemed

1556
01:27:47,439 --> 01:27:50,559
Speaker 12: like Ohio got the best of that deal. But I

1557
01:27:50,600 --> 01:27:54,240
Speaker 12: think that Michigan's lakefront property sort of beats Ohio, and

1558
01:27:54,760 --> 01:27:56,559
Speaker 12: in the Cleveland Rusfeld area, I.

1559
01:27:56,520 --> 01:27:59,600
Speaker 2: Guess you know what I tell you, that's a rivalry.

1560
01:28:00,080 --> 01:28:02,400
Speaker 1: You know, I know you've been up there a number

1561
01:28:02,439 --> 01:28:03,920
Speaker 1: of times to Ohio state.

1562
01:28:04,720 --> 01:28:07,639
Speaker 2: Did you ever? You've never been up for Ohio State Michigan?

1563
01:28:07,720 --> 01:28:08,000
Speaker 2: Have you?

1564
01:28:08,400 --> 01:28:10,519
Speaker 4: Oh? No, No, I like my life too much.

1565
01:28:11,280 --> 01:28:14,439
Speaker 12: I worry, I honestly, God, worry about myself. And that's

1566
01:28:14,439 --> 01:28:18,960
Speaker 12: the thing about this is you see generally reasonable.

1567
01:28:18,360 --> 01:28:22,760
Speaker 4: People lose their minds over this. And that's the wild thing.

1568
01:28:22,800 --> 01:28:25,879
Speaker 12: It's like, if there's something that makes your average American

1569
01:28:26,000 --> 01:28:27,840
Speaker 12: lose it over it's he I mean, if there's two

1570
01:28:27,880 --> 01:28:31,040
Speaker 12: things you bring up, either a Donald Trump or b

1571
01:28:31,320 --> 01:28:33,559
Speaker 12: Ohio State Michigan, and you're going to get a reaction

1572
01:28:33,640 --> 01:28:37,960
Speaker 12: out of people that tend not to give pretty animated reactions.

1573
01:28:38,000 --> 01:28:41,960
Speaker 12: But but the hatred is one thousand percent real. But no,

1574
01:28:42,640 --> 01:28:44,920
Speaker 12: I've never been to ann Arbor. I have no plans

1575
01:28:44,960 --> 01:28:47,960
Speaker 12: on going to ann Arbor. If there's one place on

1576
01:28:48,080 --> 01:28:50,960
Speaker 12: planet Earth I would love to avoid my entire natural life,

1577
01:28:51,000 --> 01:28:51,880
Speaker 12: it would be ann Arbor.

1578
01:28:52,320 --> 01:28:54,960
Speaker 2: Why doesn't that surprise me?

1579
01:28:55,160 --> 01:28:57,160
Speaker 4: You know, you know, I'm not sure.

1580
01:28:57,640 --> 01:29:00,880
Speaker 1: Let me ask you about about the game itself, Mike, Yeah,

1581
01:29:00,920 --> 01:29:06,760
Speaker 1: I mean Ohio State so dominant this year. Michigan. I

1582
01:29:06,800 --> 01:29:10,200
Speaker 1: think they're banging around about fourteenth or fifteenth or something

1583
01:29:10,280 --> 01:29:13,439
Speaker 1: like that. Yeah, obviously Buckeyes are the favorites. But what

1584
01:29:13,479 --> 01:29:15,000
Speaker 1: are you looking for in this game?

1585
01:29:15,720 --> 01:29:19,080
Speaker 12: I'm telling you right now, and I know it's just

1586
01:29:19,120 --> 01:29:22,320
Speaker 12: the cliches are cliches because they're true. But I mean this,

1587
01:29:22,479 --> 01:29:24,599
Speaker 12: throw the record book out and you can say that

1588
01:29:26,000 --> 01:29:29,880
Speaker 12: the years absolutely. So what I think the key is

1589
01:29:29,920 --> 01:29:33,799
Speaker 12: here is that Ohio State. You know their quarterback Julian's

1590
01:29:33,800 --> 01:29:36,880
Speaker 12: saying and I watched him a little bit when he

1591
01:29:36,920 --> 01:29:39,439
Speaker 12: was in high school, just film and stuff hearing about him,

1592
01:29:39,520 --> 01:29:42,080
Speaker 12: and he really flew under the radar. This could be

1593
01:29:42,240 --> 01:29:45,639
Speaker 12: his heisman game. He is completing something like eighty percent

1594
01:29:45,680 --> 01:29:50,920
Speaker 12: of his passes. Another guy who was absolutely lethal to

1595
01:29:51,040 --> 01:29:53,400
Speaker 12: Michigan in his career long you know, back in five

1596
01:29:53,680 --> 01:29:56,880
Speaker 12: six era, was Troy Smith. This guy reminds me of

1597
01:29:56,880 --> 01:29:59,720
Speaker 12: Troy Smith. He wears number ten, just like him. He's

1598
01:29:59,760 --> 01:30:03,400
Speaker 12: a li undersized, but mechanically I don't think I've seen

1599
01:30:03,400 --> 01:30:06,880
Speaker 12: a quarterback, especially at that age, as good as this

1600
01:30:07,000 --> 01:30:09,439
Speaker 12: kid is. The Other thing to look for is Ohio

1601
01:30:09,479 --> 01:30:14,320
Speaker 12: State's other heisman candidates, Jeremiah Smith and Carneal Tate, the

1602
01:30:14,360 --> 01:30:17,280
Speaker 12: two wide receivers. I don't think there's any question, you know,

1603
01:30:17,360 --> 01:30:20,400
Speaker 12: whether or not these two are the best wide receivers.

1604
01:30:19,920 --> 01:30:21,679
Speaker 4: In the country, and they're on the same team.

1605
01:30:22,120 --> 01:30:24,559
Speaker 12: They're a little banged up, they didn't play last week,

1606
01:30:24,640 --> 01:30:27,439
Speaker 12: they're going to play today. I mean, I think, you know,

1607
01:30:27,439 --> 01:30:31,120
Speaker 12: if Jeremiah Smith and Carnal Tate had broken two broken hands,

1608
01:30:31,120 --> 01:30:33,080
Speaker 12: they would still find a way to play in this game.

1609
01:30:33,200 --> 01:30:35,880
Speaker 4: Yeah. Really, so I think that you know.

1610
01:30:35,920 --> 01:30:40,960
Speaker 12: O High State weathering the storm, the noise, the insanity,

1611
01:30:41,040 --> 01:30:43,000
Speaker 12: they're not going to be able to hear themselves. Think

1612
01:30:43,600 --> 01:30:46,080
Speaker 12: even if that first drive ends in a punt, that's fine.

1613
01:30:46,160 --> 01:30:49,840
Speaker 12: It's limiting turnovers for Ohio State, letting the game come

1614
01:30:49,880 --> 01:30:52,280
Speaker 12: to them. Michigan is going to have to find a

1615
01:30:52,320 --> 01:30:54,200
Speaker 12: way to run the ball, and that's going to be

1616
01:30:54,320 --> 01:30:57,680
Speaker 12: very tough because there's no defensive.

1617
01:30:57,160 --> 01:30:59,400
Speaker 4: Line and in my view, no defense better in the

1618
01:30:59,400 --> 01:31:00,639
Speaker 4: country than High of States.

1619
01:31:00,680 --> 01:31:03,519
Speaker 12: So if Michigan can find a way to slow the

1620
01:31:03,560 --> 01:31:07,320
Speaker 12: game down, sort of play that old school Ohio State

1621
01:31:07,400 --> 01:31:10,760
Speaker 12: Michigan football, where they can grind the ball, pick up

1622
01:31:10,800 --> 01:31:14,679
Speaker 12: first downs, avoid third and long, they'll have a shot.

1623
01:31:14,720 --> 01:31:16,640
Speaker 12: Ohio State's gonna have to do the opposite. They're going

1624
01:31:16,720 --> 01:31:18,800
Speaker 12: to have to air it out, chuck it deep to

1625
01:31:18,840 --> 01:31:22,720
Speaker 12: the two best receivers in the United States and it's

1626
01:31:22,800 --> 01:31:25,200
Speaker 12: not going to be, you know, a high scoring game.

1627
01:31:25,280 --> 01:31:27,679
Speaker 4: I wish it was, but I don't think it's going

1628
01:31:27,720 --> 01:31:27,920
Speaker 4: to be.

1629
01:31:28,320 --> 01:31:28,519
Speaker 9: Well.

1630
01:31:28,600 --> 01:31:31,640
Speaker 12: I think Ohio State gets out, maybe by less than

1631
01:31:31,640 --> 01:31:32,280
Speaker 12: a touchdown.

1632
01:31:32,880 --> 01:31:36,280
Speaker 1: We shall see. It's certainly exciting. Appreciate you spend some

1633
01:31:36,400 --> 01:31:38,080
Speaker 1: time with us. Are you on Tomorrow night?

1634
01:31:39,040 --> 01:31:41,599
Speaker 4: No, sir, man, I'm not. I don't think I am.

1635
01:31:41,840 --> 01:31:44,120
Speaker 12: Okay, They'll be playing football and I'm okay with it.

1636
01:31:44,160 --> 01:31:47,040
Speaker 12: I'm busy getting getting ready for a little Buckeye to

1637
01:31:47,040 --> 01:31:48,200
Speaker 12: get here, so I know.

1638
01:31:48,240 --> 01:31:50,559
Speaker 2: I know, I can't wait. I can't wait.

1639
01:31:50,880 --> 01:31:52,559
Speaker 4: Yeah, and I want to be busy.

1640
01:31:52,600 --> 01:31:52,800
Speaker 3: Brother.

1641
01:31:53,000 --> 01:31:55,280
Speaker 1: That's right. Well, I wanted to let it know. We

1642
01:31:55,360 --> 01:31:58,400
Speaker 1: are on together this coming Friday for slowany Yeah, for

1643
01:31:58,439 --> 01:32:00,759
Speaker 1: Willie nine to New Well, No, you in for Sloan.

1644
01:32:00,840 --> 01:32:04,280
Speaker 1: I think I better double check then.

1645
01:32:04,479 --> 01:32:08,400
Speaker 12: Anyway, that'll be fun and we'll have it covered now.

1646
01:32:08,479 --> 01:32:09,840
Speaker 2: What the hell? All right?

1647
01:32:09,920 --> 01:32:10,160
Speaker 4: Mike?

1648
01:32:10,240 --> 01:32:11,560
Speaker 2: Thank you?

1649
01:32:11,600 --> 01:32:11,960
Speaker 4: All right?

1650
01:32:12,840 --> 01:32:16,400
Speaker 1: Okay, see, you know, I gotta tell you, how cool

1651
01:32:16,520 --> 01:32:21,920
Speaker 1: is that interviewing your son about Ohio State Michigan. I'm

1652
01:32:21,960 --> 01:32:25,080
Speaker 1: so proud of that young man. I could burst. Hey,

1653
01:32:25,160 --> 01:32:27,879
Speaker 1: let's do this. Uh, we have a couple of callers,

1654
01:32:27,880 --> 01:32:29,760
Speaker 1: but I want to take a break. Get that out

1655
01:32:29,760 --> 01:32:32,200
Speaker 1: of the way, come back and we'll get the callers.

1656
01:32:32,240 --> 01:32:35,759
Speaker 1: We'll do that when we get back. Mike Allen, Saturday midday,

1657
01:32:36,160 --> 01:32:39,439
Speaker 1: Mike Allen, Saturday midday, closing minutes of same as promise.

1658
01:32:39,560 --> 01:32:44,599
Speaker 1: Let's go to the phone first, Doctor Dennis. Are you there, sir,

1659
01:32:46,760 --> 01:32:49,320
Speaker 1: Doctor Dennis, you're there.

1660
01:32:49,840 --> 01:32:51,160
Speaker 2: I'm there. How you doing, doc?

1661
01:32:51,720 --> 01:32:53,360
Speaker 4: Okay? All right, pretty good, good.

1662
01:32:53,760 --> 01:32:56,519
Speaker 14: I had a nice, nice thanks. I just want to

1663
01:32:56,560 --> 01:33:01,000
Speaker 14: take two quick points. Two quick points. One you got, uh, Tim,

1664
01:33:01,040 --> 01:33:06,200
Speaker 14: no balls walls out there voicing concern about the results

1665
01:33:06,240 --> 01:33:10,240
Speaker 14: of Trump's MRI. I think I have that right, Uh,

1666
01:33:10,160 --> 01:33:13,080
Speaker 14: when you have some other yeah, some other talking heads

1667
01:33:13,120 --> 01:33:18,120
Speaker 14: concerned about Trump is showing early dimension is you know,

1668
01:33:18,360 --> 01:33:22,080
Speaker 14: et cetera, et cetera. But these same people never voiced

1669
01:33:22,120 --> 01:33:27,080
Speaker 14: any concern about you know, demesia Joe and and his

1670
01:33:27,320 --> 01:33:30,440
Speaker 14: uh and his uh severe cognitive deficits.

1671
01:33:30,560 --> 01:33:32,000
Speaker 4: You are so worried. You know.

1672
01:33:32,080 --> 01:33:35,000
Speaker 1: I heard that too this week too, and it's nobody

1673
01:33:35,000 --> 01:33:37,880
Speaker 1: ever calls him on it, and it's just so bright,

1674
01:33:38,479 --> 01:33:41,680
Speaker 1: so blatant. You know, Trump, I don't even think the

1675
01:33:41,720 --> 01:33:43,920
Speaker 1: guy gets tired. At least he doesn't look like that

1676
01:33:43,960 --> 01:33:44,200
Speaker 1: to me.

1677
01:33:46,000 --> 01:33:50,400
Speaker 14: He's running circles around what Biden did. There's no question

1678
01:33:50,479 --> 01:33:51,120
Speaker 14: about it.

1679
01:33:51,280 --> 01:33:51,840
Speaker 2: No question.

1680
01:33:53,160 --> 01:33:54,880
Speaker 14: And then and then I want to put it plug

1681
01:33:54,920 --> 01:33:58,360
Speaker 14: in for Xavier because I don't know if you know this,

1682
01:33:59,120 --> 01:34:03,280
Speaker 14: but he's Xavior grad came up with the Bengals name

1683
01:34:03,680 --> 01:34:06,040
Speaker 14: for the Cincinnati football.

1684
01:34:05,560 --> 01:34:07,599
Speaker 4: Team, really really yeah.

1685
01:34:07,680 --> 01:34:11,400
Speaker 14: A guy named yeah, a guy named Hal Pennington who

1686
01:34:11,439 --> 01:34:12,439
Speaker 14: was the Xavier grad.

1687
01:34:14,000 --> 01:34:17,360
Speaker 4: He he coached some.

1688
01:34:17,439 --> 01:34:20,559
Speaker 14: Early versions of the Bengals that they weren't called the Bengals,

1689
01:34:20,840 --> 01:34:22,040
Speaker 14: called other names.

1690
01:34:23,280 --> 01:34:24,960
Speaker 2: In theties, wasn't it, yes?

1691
01:34:25,080 --> 01:34:25,479
Speaker 4: Correct?

1692
01:34:25,720 --> 01:34:28,680
Speaker 14: Correct in the thirties, right, right? So his name is

1693
01:34:28,720 --> 01:34:32,479
Speaker 14: Hal Pennington. You can look it up. But I got

1694
01:34:32,520 --> 01:34:34,200
Speaker 14: this out of a book called The Hidden.

1695
01:34:33,960 --> 01:34:35,000
Speaker 4: History of Cincinnati.

1696
01:34:35,160 --> 01:34:38,639
Speaker 14: Okay, and yeah, it was a very fascinating story.

1697
01:34:38,840 --> 01:34:40,080
Speaker 2: I'm gonna check it out. Hey.

1698
01:34:40,120 --> 01:34:42,040
Speaker 1: One other thing, I don't know if you heard. I

1699
01:34:42,120 --> 01:34:44,760
Speaker 1: know how much you like local history. I had a

1700
01:34:44,800 --> 01:34:47,639
Speaker 1: guy on this week who wrote a book about Post

1701
01:34:47,600 --> 01:34:51,760
Speaker 1: Steele Laski, the Cincinnati Strangler, which was excellent.

1702
01:34:52,000 --> 01:34:54,479
Speaker 2: It was so good, was that, right? Yeah? Yeah, you

1703
01:34:54,479 --> 01:34:57,800
Speaker 2: can get it on Amazon. Well that was worth read.

1704
01:34:58,920 --> 01:35:02,639
Speaker 14: Now is that the same guy that was going around

1705
01:35:02,680 --> 01:35:05,920
Speaker 14: with a when that the murder of that family over

1706
01:35:06,000 --> 01:35:06,760
Speaker 14: in the West Side.

1707
01:35:06,880 --> 01:35:07,360
Speaker 2: That's j T.

1708
01:35:07,560 --> 01:35:12,120
Speaker 1: Towns No, well it was going on at the same time.

1709
01:35:12,200 --> 01:35:14,920
Speaker 1: But uh no, j T. Townsend wrote that book. But

1710
01:35:15,280 --> 01:35:18,200
Speaker 1: it's really good. Uh you know, I think it's like

1711
01:35:18,240 --> 01:35:19,479
Speaker 1: twenty bucks or something like that.

1712
01:35:19,640 --> 01:35:21,000
Speaker 2: So just wanted to let you.

1713
01:35:21,000 --> 01:35:24,120
Speaker 14: Know it's a newer book. It's a newer it's a different, different,

1714
01:35:24,200 --> 01:35:25,320
Speaker 14: criminal different.

1715
01:35:25,960 --> 01:35:29,599
Speaker 1: A bad one too. Okay, all right, thanks, thank you

1716
01:35:29,640 --> 01:35:34,000
Speaker 1: so much. But you know, I didn't know that about Xavier.

1717
01:35:34,080 --> 01:35:36,479
Speaker 1: You know, a lot of people don't know this. One

1718
01:35:36,520 --> 01:35:39,360
Speaker 1: of Xavier's last football players. I think he was on

1719
01:35:39,439 --> 01:35:43,640
Speaker 1: the last team, none other than the great, great Ken Blackwell,

1720
01:35:44,120 --> 01:35:46,600
Speaker 1: I'm sure everybody knows. Ken, one of the most conservative

1721
01:35:46,600 --> 01:35:49,040
Speaker 1: guys in the state, should have been the governor of

1722
01:35:49,080 --> 01:35:50,040
Speaker 1: the state of Ohio.

1723
01:35:50,320 --> 01:35:53,320
Speaker 2: He played football for Xavier.

1724
01:35:53,439 --> 01:35:57,000
Speaker 1: I think I think he got drafted, not maybe a

1725
01:35:57,080 --> 01:36:00,479
Speaker 1: high pick, but got drafted by the Cowboys, Dallas Cowboys.

1726
01:36:00,479 --> 01:36:02,200
Speaker 1: I don't think you ever played for him, though, but

1727
01:36:02,600 --> 01:36:06,280
Speaker 1: appreciate the trivia. I'm the most trivial person you'll find. Hey,

1728
01:36:06,320 --> 01:36:09,200
Speaker 1: let's talk to Ralph in beautiful Western Hills. Hey, Ralph,

1729
01:36:09,280 --> 01:36:12,720
Speaker 1: how are you doing good today, har are you?

1730
01:36:13,040 --> 01:36:14,840
Speaker 2: I'm good? We got one minute?

1731
01:36:15,640 --> 01:36:18,240
Speaker 4: Yeah, one minute. I don't think I have enough time.

1732
01:36:18,280 --> 01:36:18,439
Speaker 1: Then.

1733
01:36:20,080 --> 01:36:22,160
Speaker 15: Basically, I think a lot of the stuff that's going

1734
01:36:22,200 --> 01:36:26,680
Speaker 15: on is intentional, and I think it's intentional because to transfer.

1735
01:36:26,320 --> 01:36:29,880
Speaker 2: Wealth, really, tell me, tell me what you mean by that.

1736
01:36:29,920 --> 01:36:30,840
Speaker 2: We got time for that.

1737
01:36:32,680 --> 01:36:35,760
Speaker 15: Hey, if you look at what was going on with

1738
01:36:35,800 --> 01:36:39,320
Speaker 15: the immigration, he had the open borders, the cartels were

1739
01:36:39,320 --> 01:36:44,120
Speaker 15: making bands, ye, all right, Venezuela making byans off of that.

1740
01:36:45,240 --> 01:36:48,880
Speaker 15: A lot of the immigrants that were coming from Venezuela

1741
01:36:49,000 --> 01:36:52,800
Speaker 15: were men, and they were muslim men. And a lot

1742
01:36:52,800 --> 01:36:54,800
Speaker 15: of these musselmen were coming out of prisons.

1743
01:36:55,520 --> 01:36:57,840
Speaker 4: Well, if you look at some of.

1744
01:36:57,800 --> 01:37:00,439
Speaker 15: The Ukrainians, they were giving money to travel here, they

1745
01:37:00,439 --> 01:37:02,920
Speaker 15: were given context, they got jobs, they got paid to

1746
01:37:02,920 --> 01:37:08,040
Speaker 15: come here at a humanitarian.

1747
01:37:09,160 --> 01:37:12,720
Speaker 1: I'll tell you what, Ralph, and amount of time here.

1748
01:37:14,200 --> 01:37:17,599
Speaker 1: I wouldn't bet against anything. It's very possible. Hey, next

1749
01:37:17,600 --> 01:37:20,320
Speaker 1: time you call back, I promise I'll give you more time. Okay,

1750
01:37:21,800 --> 01:37:25,000
Speaker 1: he's gone already, and so am I. Mike Allen, Saturday

1751
01:37:25,040 --> 01:37:25,479
Speaker 1: midday