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Speaker 1: All right, News Radio seven hundred WLW Mike Allen in

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Speaker 1: tonight for Dan Carroll. Heya, what we got a big show,

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Speaker 1: So let's get right to work here. The situation in Minnesota,

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Speaker 1: not with respect to ice in the shootings, but I'm

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Speaker 1: talking about the scandal.

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Speaker 2: It just continues to grow and grow and grow.

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Speaker 1: And the journalist who's right on top of this has

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Speaker 1: been from the beginning. She's been complimented by none other

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Speaker 1: than Nuke Gingrich for her coverage. I'm talking about Janis

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Speaker 1: Heisel of the Epoch Times. Janis, thanks so much for

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Speaker 1: joining us tonight.

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Speaker 3: Absolutely, Mike, thanks.

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Speaker 1: Hey, you got three stories for actually four stories. I

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Speaker 1: didn't get a chance to read the last one filed

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Speaker 1: this week. Tell us what's going on up there? The

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Speaker 1: article about fraud that concerns spread Maybe we can start

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Speaker 1: with that one.

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Speaker 3: Absolutely, so, as you and I discussed previously on your

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Speaker 3: Saturday show. For a while now, there have been quite

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Speaker 3: a few concerns raised about whether we here in Ohio

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Speaker 3: might have problems with Somali daycare fraud similar to the

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Speaker 3: problems in Minnesota. And there's been a number of you know,

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Speaker 3: just ordinary citizens or independent journalists or a blend of

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Speaker 3: those people going up to Columbus trying to figure this out.

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Speaker 3: And it's kind of hard in some cases to tell,

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Speaker 3: you know, the place is vacant, but you know, are

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Speaker 3: the records outdated?

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Speaker 4: Shit?

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Speaker 3: You know, is it officially out of business. There's just

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Speaker 3: a lot of things that you know of unknowns in

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Speaker 3: some ways. So I went up there and I tried

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Speaker 3: to I talked to, you know, the government's office. I

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Speaker 3: talked to uh one of our U local senators, George

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Speaker 3: Wang about you know, what I was finding up there,

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Speaker 3: things like that and what was interesting to me. I actually,

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Speaker 3: after being rebuffed, was able to find one daycare worker

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Speaker 3: who hesitantly spoke to me but was very fadamant that yes,

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Speaker 3: this fraught is happening within the Somali community. Other people

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Speaker 3: I spoke to were said, it is not that she

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Speaker 3: works in this one of these centers. The other people

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Speaker 3: I talked to were just community members, not necessarily possibly

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Speaker 3: not in the know or maybe who knows in denial

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Speaker 3: and just telling me, you know that they don't know.

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Speaker 2: About miss Jay right.

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Speaker 4: Well.

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Speaker 3: And this this woman, young lady, she spoke to me

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Speaker 3: even though people were walking in and out of the

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Speaker 3: center where she worked it out, I wasn't able to

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Speaker 3: hear the sounds of children playing behind a secure door.

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Speaker 3: I could hear kids laughing, running around, things like that.

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Speaker 3: So there were children in there, based on my own

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Speaker 3: observations of hearing that, and she told me, yes, they

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Speaker 3: were about maybe ten or fewer children in there at

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Speaker 3: that time. But she also said that at the center

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Speaker 3: used to have a lot more kids, right, but she

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Speaker 3: alleged the parents are being paid by the center to keep.

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Speaker 5: Their kids at home.

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Speaker 1: Really, do you know if anybody's following up on that

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Speaker 1: on the law enforcement or prosecution end?

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Speaker 4: You know?

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Speaker 3: That part? I don't know because I wasn't able to

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Speaker 3: have an extensive interviewer with her because there were people

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Speaker 3: going in and out and just scowling at her for

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Speaker 3: talking to me, and you know, she does need her job.

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Speaker 3: But she told me she was praying for somebody to

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Speaker 3: look into this, so I don't know whether she has

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Speaker 3: reported it or not. I was able to ask her

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Speaker 3: that before we have to part way, but she was

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Speaker 3: pretty adamant that yes, that it is happening there and

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Speaker 3: it upsets her. She said she's not used to lying

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Speaker 3: and it makes her feel bad.

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Speaker 6: To be part of this.

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Speaker 1: Yeah, I mean you wrote that. She said, it's actually

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Speaker 1: deeper than you guys think.

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Speaker 2: It bothers me.

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Speaker 1: Makes me feel guilty because, like you said, James, she

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Speaker 1: said she's not used to lying. Do the do the

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Speaker 1: powers that be if you will. And George Lang, I

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Speaker 1: know you spoke to him. Do they know about this

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Speaker 1: woman or and I know you would never reveal a source.

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Speaker 2: I get that, But are they on top of it?

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Speaker 4: I guess is the question this specific center.

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Speaker 3: I don't know for certain, just because again I'm bound

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Speaker 3: by my promise to sure to her. So I did

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Speaker 3: note in my story I looked up this particular center

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Speaker 3: and found that this particular center did have violations, So

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Speaker 3: I know they've been looked at in the past. So

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Speaker 3: we'll see what happens, and I can see I will

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Speaker 3: continue to follow up on this. But one thing, to

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Speaker 3: be fair that I wanted to share is that this

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Speaker 3: lady did point out that it's not just Somali's. She

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Speaker 3: told me the Mexicans are doing it, Arabs are doing it.

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Speaker 3: She said that it's quite a few other ethnicities and

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Speaker 3: not just Somalis. And you know, she was pretty adamant

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Speaker 3: about that. As well, and I do mention my story

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Speaker 3: about she said other ethnicities are are up to the Shenanigans.

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Speaker 3: Now it's unclear to me right now. I'm trying to play,

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Speaker 3: you know, make this a very conservative approach to the story,

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Speaker 3: not blow it out of proportion, but also not underplay it.

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Speaker 3: Trying to strike that balance.

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Speaker 6: But what I've been able.

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Speaker 3: To sets out so far is that it looks like

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Speaker 3: that Ohio is making a genuine effort to try to.

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Speaker 4: Look into some of this.

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Speaker 3: There are some citizens out there that disagree and feel

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Speaker 3: like that, you know, they're not looking at it aggressively enough.

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Speaker 3: I've seen those kind of comments out there, and there

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Speaker 3: are quite a few videos out there of some, like

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Speaker 3: I said, citizen journalists or independent journalists out there going

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Speaker 3: to these centers in locheelan order. But the governor, you know,

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Speaker 3: makes the point that if you have a kid in

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Speaker 3: this center, would you want anybody just to be able

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Speaker 3: to barge in there. In fact, there are laws that

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Speaker 3: say you can't come into these centers.

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Speaker 2: That's a good point.

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Speaker 5: But you don't have a kid.

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Speaker 1: Yeah, yeah, And I read that, and he makes a

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Speaker 1: good point there. You did talk to Ohio State Rep.

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Speaker 1: Josh Williams. He said, what's happening in Minnesota is almost

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Speaker 1: certainly occurring in Columbus, and Ohio needs to use every

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Speaker 1: power we have under the law to put a stop

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Speaker 1: to it. I mean, at least he seems to be

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Speaker 1: interested in and I'm not saying that the governor's not.

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Speaker 1: But are you finding I don't know how many politicians

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Speaker 1: as you talk to, but are they taking this stuff seriously?

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Speaker 2: It sounds to me like they are Janis.

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Speaker 3: It does seem so that that there are differences. A

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Speaker 3: lot of people stressed to me, ranging from the lawmakers

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Speaker 3: to the Somalis, that Ohio is not Minnesota's. But they

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Speaker 3: were all telling me they they were. One of the

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Speaker 3: biggest differences that I've detected so far is I haven't

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Speaker 3: heard of any reports here in Ohio of whistle blowers,

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Speaker 3: people coming forward and saying, hey, fraud is happening. I

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Speaker 3: work for, you know, the state welfare agency, and I

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Speaker 3: see these bills that look suspicious, and you know, I've

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Speaker 3: never heard of anybody being disciplined or you know, literally

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Speaker 3: almost have their job taken away from them or be reassigned,

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Speaker 3: which actually was the case in Minnesota. There were many,

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Speaker 3: many reports of whistle blowers claiming they were retaliated against

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Speaker 3: form making reports of their suspicions. They were told they

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Speaker 3: were racist, they were told they were slamophobic, because of course,

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Speaker 3: you know, people from Somalia are you know, black, and

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Speaker 3: they are they are Muslim. So I don't see that

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Speaker 3: happening in Ohio. If it is, I'd like to hear

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Speaker 3: from it. Anybody who has sex a report, But I was.

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Speaker 3: I did some web searches the guess I could, and

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Speaker 3: unable to find any documented cases of people in Ohio.

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Speaker 3: So it doesn't seem like that it's the same. At least,

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Speaker 3: the government set up in response doesn't appear to be

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Speaker 3: the same here in Ohio. And it does seem like

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Speaker 3: Ohio may have some additional safeguards to make sure the

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Speaker 3: parents are actually checking in real children, that they're not

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Speaker 3: just children on paper. But then again, somehow, if these

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Speaker 3: kids are being paid at the one center where I

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Speaker 3: spoke to the daycare worker, they're figuring out a way

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Speaker 3: to circumvent it, and that's not you know, again, I

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Speaker 3: don't know the ins and outs are exactly how that

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Speaker 3: might work, but it's not all the realm of post ability.

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Speaker 3: When people are, you know, intent upon committing fraud of

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Speaker 3: any kind, they find ways to work the system and

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Speaker 3: work around.

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Speaker 1: Safeguards, and that's why it's incumbent upon the system to

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Speaker 1: come down on them like a ton of bricks when

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Speaker 1: they are caught.

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Speaker 2: Hey, let's move on.

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Speaker 1: I wanted to ask a little bit about your story

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Speaker 1: about the boy mayor that being made Jacob Fry Donald

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Speaker 1: Trump said that, and I agree with him.

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Speaker 2: He's playing with fire.

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Speaker 1: The mayor is in rejecting and really obstructing immigration enforcement.

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Speaker 1: Your thoughts on that, Janis you got a story I

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Speaker 1: think you filed yesterday on that one.

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Speaker 6: Yeah.

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Speaker 3: Well, I think everybody's really much aware that the borders

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Speaker 3: are Tom Holman was deployed there to Minnesota, specifically in

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Speaker 3: the Minneapolis, and he's speaking to police there and he's

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Speaker 3: trying to do his best too, you know, a comp

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Speaker 3: the goal of the Trump administration, which is to get

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Speaker 3: rid of the illegal immigrants who have criminal records.

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Speaker 4: Uh.

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Speaker 3: But then you're running into this resistance from people like

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Speaker 3: Minneapolis Mayor Jacob Pride, who says, hey, we're a sanctuary city.

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Speaker 3: And you know, he's been known to use the F

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Speaker 3: word quite a few times in trying to get Ice

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Speaker 3: out of there, you know, the immigration's enforcement people. So

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Speaker 3: I Trump, you know, I mean, sometimes he sends things,

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Speaker 3: you know, to in an exaggerated way. I think it's

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Speaker 3: fair to say. But in this case, I mean, if

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Speaker 3: there's reason.

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Speaker 7: To believe that he he might have something to back

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Speaker 7: that upright, that he's playing with fire, And I don't

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Speaker 7: know what that might be, but he did.

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Speaker 3: Trump did say that in all capital letters means and

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Speaker 3: he says, but Frye said he had a productive conversation

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Speaker 3: with Homer, but he core made it clear that Minneapolis

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Speaker 3: does not and will not enforce centeral immigration laws. But

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Speaker 3: then Trump said, hey, I'm surprised that you said that.

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Speaker 3: How could you say that after having this good conversation

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Speaker 3: with Holman. So we're hearing very conflicting reports. In fact,

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Speaker 3: just a few minutes ago, I saw a new report

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Speaker 3: where the Attorney General of Minnesota, Keith Ellison, was disputing

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Speaker 3: Tom Holman's statement that they had reached a little bit

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Speaker 3: of an agreement on some aspects of how to work

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Speaker 3: together there. And he's saying, no, nope, no, that's not

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Speaker 3: you know what I said. That's not what I didn't

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Speaker 3: agree to anything like that. So it's hard to know

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Speaker 3: what happens in the hind closed doors in these meetings.

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Speaker 3: You know, I really think that you know, Tom Holman,

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Speaker 3: he has had a history of working for six different presidents,

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Speaker 3: and he I think he was going out loud. Why

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Speaker 3: is it that immigration enforced it throughout all these other administrations,

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Speaker 3: Democrat and Republican alike. You know, they're able to do

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Speaker 3: their job, and it's just in Minnesota that all of

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Speaker 3: a sudden we have this very organized resistance where these

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Speaker 3: people are actually coordinating efforts and being trained on how

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Speaker 3: to interfere with officers doing their job. And see Tom

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Speaker 3: home and said, look, if you don't like the laws

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Speaker 3: that we are enforcing, get the laws changed. This is

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Speaker 3: not the way to do it.

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Speaker 5: Absolutely.

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Speaker 1: I saw a report on Fox tonight where it looks

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Speaker 1: like they're closing in on that whole thing. They showed

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Speaker 1: some footage of protesters unloading signs, pre made signs, all

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Speaker 1: the same from a truck. It would appear pretty certain

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Speaker 1: that this all is organized, So we'll see where that goes.

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Speaker 1: But I wanted to ask you too about a statement

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Speaker 1: that his honor, the mayor made and you know, the

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Speaker 1: guy needs to understand his job, and he needs to

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Speaker 1: understand the job of ice. He says, this is the mayor,

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Speaker 1: Mayor Fry, the job of our police is to keep

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Speaker 1: people safe, not enforced fed immigration laws. I want them

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Speaker 1: preventing homicides, not hunting down a working dad who contributes

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Speaker 1: to Minneapolis and is from Ecuador. He wrote that on

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Speaker 1: an X post on January twenty eighth. Do you get

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Speaker 1: the feeling that this guy's I don't know, he got

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Speaker 1: some kind of a complex where he thinks he's calling

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Speaker 1: the shots with respect to immigration enforcement. That's probably a

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Speaker 1: tough question, but I guess it's just a long way

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Speaker 1: of asking what do you think of that statement?

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Speaker 3: Well, one thing that I think is quite interesting about

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Speaker 3: the mayor is that he's an attorney, and if you

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Speaker 3: put in it, you know, attorneys are no the law,

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Speaker 3: and you know, it's just kind of it's kind of

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Speaker 3: hard to square in my mind how somebody with an

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Speaker 3: attorney's background would come out and say that. But then again,

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Speaker 3: I actually did also attend a Minneapolis council meeting where

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Speaker 3: they passed unanimously. The city council did an updated version

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Speaker 3: of their sanctuary city ordinance, and literally this ordinance comes

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Speaker 3: right out and says that no city employee of any

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Speaker 3: department whatsoever is allowed to do anything that would be

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Speaker 3: assisting immigration enforcement, and that could be construed to not

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Speaker 3: help the officers with anything. It says you can even

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Speaker 3: use a computer system to look up something. That's literally

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Speaker 3: what the language says in the ordinance that I as

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Speaker 3: I read it, and they beefed up a lot of

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Speaker 3: the language ticket make it really really strong. And the

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Speaker 3: employees who were suspected of violating this policy could face

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Speaker 3: losing their jobs and things like that.

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Speaker 1: Gotcha, last story that I want to talk about. I

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Speaker 1: still have to read the fourth one here, Trump Want's

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Speaker 1: honorable and honest probe of second fatal Minnesota shooting. It

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Speaker 1: does seem like the President has toned down the rhetoric somewhat.

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Speaker 2: We'll see how long it lasts.

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Speaker 1: I mean, if Mayor Fry and Keith Ellison and the

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Speaker 1: governor are going to keep sticking it in his face,

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Speaker 1: you know he's going to fire back.

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Speaker 2: But is that kind of.

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Speaker 1: The impression that you're getting that he has not backed

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Speaker 1: off on enforcement, but maybe backed off on the rhetoric

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Speaker 1: a little bit.

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Speaker 3: Well, I guess that's the only way to really really

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Speaker 3: interpret it because of the fact that originally there were

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Speaker 3: people in the Trumpet administration and are the you know,

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Speaker 3: in within some of the agencies that we're saying things

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Speaker 3: like there was evidence of this guy without to do

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Speaker 3: maximum damage. I'm not sure it was. One of the

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Speaker 3: officials said that I may have been Bovino, the border

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Speaker 3: patrol head that was in charge there and was moved

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Speaker 3: out of there. So there were some statements that were

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Speaker 3: made maybe a little bit prematurely and maybe inflamed this

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Speaker 3: situation further. At least that's what it seems to be.

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Speaker 3: You know, a lot of commentary online focused on that

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Speaker 3: as well as you know, just the general tone, uh

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Speaker 3: seemed to change then after Trump came out and just said, look,

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Speaker 3: I'm going to put the homean in there. Homan does

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Speaker 3: have a reputation for being he knows people in Minnesota

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Speaker 3: and you know, has a good reputation for being tough

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Speaker 3: and doing his job, but yet also trying to be

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Speaker 3: as fair as possible and reason while doing that.

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Speaker 5: So there, it's just.

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Speaker 3: It's a really really tough situation because if they were

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Speaker 3: to just say, oh, guess what, yeah, we're going to

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Speaker 3: leave because these protesters and resistors and agitators and these

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Speaker 3: officials want us out. Then that sets the tone for

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Speaker 3: other communities to just do the same thing. And then

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Speaker 3: you know, the immigration enforcement which was promised to the voters,

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Speaker 3: Where does that go if you allow that to happen.

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Speaker 3: But then again, nobody wants to see and Tom Holman

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Speaker 3: stay this very clearly in his news conference this morning,

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Speaker 3: he said, I don't want to see any bloodshed. He

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Speaker 3: had predicted like almost a year ago that if this

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Speaker 3: resistance continued, that that bloodshed would be inevitable, and he said,

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Speaker 3: I don't want to see anybody lose their life, whether

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Speaker 3: it's a citizen or whether it's you know, one.

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Speaker 5: Of the officers.

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Speaker 3: It's a tough situation here. The American public seems to

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Speaker 3: really want immigration enforcement, yep.

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Speaker 2: And that's backed up even now.

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Speaker 1: Trump has kind of gone down in the polls a

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Speaker 1: little bit, but and his position on enforcement has just

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Speaker 1: a little bit, but it's still a majority of Americans. Janis,

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Speaker 1: we never have enough time. We are out of time,

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Speaker 1: and I look forward to talking to you on Saturday.

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Speaker 3: Absolutely, Thank you again.

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Speaker 2: Okay, thanks Jannis.

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Speaker 1: All Right, Janis Heisel from the Epoch Times on this

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Speaker 1: like the proverbial white on Rice, and I wanted to

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Speaker 1: tell everybody. She's going to be on for an hour

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Speaker 1: on my Saturday show. In addition to the Minnesota stuff,

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Speaker 1: she did a great story about the freed prisoners from

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Speaker 1: J six, the ones that Trump pardoned. It is really

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Speaker 1: good and you'll want to hear that. So she'll be

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Speaker 1: on my show's Saturday morning. Hey, we got to take

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Speaker 1: a break, but when we get back, we're going to

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Speaker 1: talk about the very serious topic of human trafficking, but

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Speaker 1: we're going to approach it in kind of an interesting way,

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Speaker 1: so you want to make sure you hang on for that.

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Speaker 1: We'll do that when we get back. Mike Allen in

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Speaker 1: for Dan Carroll, seven hundred WLW. It's Radio seven hundred WLW.

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Speaker 1: Mike Allen in for Dan Carroll.

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Speaker 4: Well on.

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Speaker 1: Fourteen year old girl is discovered by an off duty

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Speaker 1: police officer at a truck stop outside of Toledo, Ohio.

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Speaker 1: She won't reveal her name, what she's doing, or where

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Speaker 1: she's from. Concerned juvenile court judge appoints acclaimed law professor

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Speaker 1: Cameron Warren asked the girls. Guardian ed ltam and ask

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Speaker 1: the professor to try and find out about this girl

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Speaker 1: so the court can return the girl to her home.

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Speaker 1: What the professor learns along the way shakes him and

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Speaker 1: the legal system designed to protect our children. It shakes

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Speaker 1: them to the core. Now that might sound like it

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Speaker 1: actually happened, but it didn't. It is a novel, but

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Speaker 1: it highlights very well the problem of human trafficking. Here

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Speaker 1: to talk about it is doctor Scott Gerber. Doctor Gerber,

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Speaker 1: thanks so much for joining us today.

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Speaker 6: You're welcome, Mike. It's good to talk to you again.

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Speaker 1: Tell us about this and tell us what led you

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Speaker 1: to write the book.

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Speaker 2: Why And I know you've.

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Speaker 1: Been published a lot of times, you have other books.

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Speaker 1: Why you decided to do this one as a fiction story?

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Speaker 6: Great question. I've been on the Ohio Advisory Committee to

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Speaker 6: the US Commission on Civil Rights since two thousand and eight,

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Speaker 6: and in and around two thousand and fifteen, the committee

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Speaker 6: did an investigation on human trap king in Ohio, about

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Speaker 6: which at the time I knew nothing, and I was

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Speaker 6: shocked to learn that Ohio was one of the worst

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Speaker 6: states in the country for human trafficking and that Toledo

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Speaker 6: is a hub for human trafficking, and so one of

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Speaker 6: the witnesses that we heard from during the hearing was

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Speaker 6: a young woman who had been trafficked as a child,

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Speaker 6: and her story just stuck with me all these years later,

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Speaker 6: and so I decided to write about it. And in

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Speaker 6: terms of why I wrote a novel rather than an

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Speaker 6: academic treatise or something, well, I think that frequently that

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Speaker 6: you can learn something as well from reading a novel

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Speaker 6: as you can from nonfiction. And the example I gave

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Speaker 6: it an op ed I wrote about a week ago

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Speaker 6: describing why I wrote the story was To Kill a

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Speaker 6: Mockingbird by Harper Lai, And that's a novel, and as

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Speaker 6: you know, because you're a lawyer yourself, you learn a

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Speaker 6: lot about race relations and the courts through that novel,

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Speaker 6: and school kids to this very day read it in school.

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Speaker 6: And so I thought that if I made it a

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Speaker 6: page turner and it's a legal thriller, so I hope

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Speaker 6: the pages keep turning for people and they'll just stay

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Speaker 6: with the story and learn along the way. So that's

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Speaker 6: basically why I chose fiction as the vehicle for telling

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Speaker 6: the story.

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Speaker 2: I gotcha.

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Speaker 1: And by the way, the book is getting excellent reviews

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Speaker 1: on Amazon and elsewhere too. So I think it's going

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Speaker 1: to sell well, and as you point out, I think

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Speaker 1: it'll educate people that it's a big problem.

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Speaker 2: Now, I wanted to say, I've been.

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Speaker 1: In the criminal justice system in the state of Ohio

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Speaker 1: for more years than I care to even think about.

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Speaker 1: And Wow, you know, obviously I was aware of human trafficking.

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Speaker 1: I didn't really see that many cases, and I never,

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Speaker 1: in my wildest dreams would have thought Toledo would have

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Speaker 1: been a hub tell us about what's going on in

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Speaker 1: Ohio and maybe even more importantly, what's going on to

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Speaker 1: try to stop it or at least alleviate it somewhat.

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Speaker 6: Yeah, another great question. It's a multi part question. I'll

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Speaker 6: start at the end. Okay, every year since twenty ten

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Speaker 6: has been declared by the President of the United States

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Speaker 6: National Human Trafficking Prevention Month, And so I was really

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Speaker 6: pleased that the publisher decided to release my book in January.

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Speaker 6: So the federal government is really trying to do something

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Speaker 6: about it. And the entire purpose of our investigation years

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Speaker 6: ago was to make recommendations and that's all our committee

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Speaker 6: has the authority to do to the government for how

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Speaker 6: to help reduce and ideally stop this stuff. And so

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Speaker 6: we made a lot of recommendations, and I'll just give

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Speaker 6: you a couple of them. Obviously, more law enforcement resources

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Speaker 6: need to be devoted to it, and I think you'd

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Speaker 6: be surprised that there are actually a lot of law

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Speaker 6: enforcement resources devoted to it, local, state, federal, dealing with

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Speaker 6: this stuff and trying to stop it. And you know,

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Speaker 6: at the victim level, unfortunately a lot of these victims

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Speaker 6: never get rescued, but when they do, they need in

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Speaker 6: particular mental health services because it's traumatic. And I remember

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Speaker 6: during the hearing when I was asking a question or

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Speaker 6: two of the victim, I asked her, do you think

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Speaker 6: this would classify as a mental health problem? And she said, yes,

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Speaker 6: you know, it's traumatic, post traumatic stress disorder and things

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Speaker 6: like that. So one of our recommendations was to set up,

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Speaker 6: you know, more mental health services for victims of this

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Speaker 6: sort of thing. And of course, when you catch the traffickers,

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Speaker 6: you got to punish them real hard and send them

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Speaker 6: away to prison for decades and decades and decades.

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Speaker 1: Sure, well, let me ask you too. I would assume

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Speaker 1: that most of the charges, not just in the state

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Speaker 1: of Ohio, obviously, but throughout the country are federal charges

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Speaker 1: and not state charges.

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Speaker 2: Is that accurate?

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Speaker 6: I think it's a mix. I think it's a mix.

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Speaker 6: I mean a lot of this stuff. At least my

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Speaker 6: story is set primarily in Toledo, but the victim is

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Speaker 6: actually from Wapa Canetta, so there's a little bit of that, okay.

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Speaker 6: But the trafficker himself is based in Toronto, so they

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Speaker 6: crossed the border a couple of times. And so obviously

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Speaker 6: when people do that, you have international jurisdiction over these

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Speaker 6: kinds of things.

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Speaker 1: Gotcha, Let me ask you something. Can you explain for

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Speaker 1: my listeners the difference between a kidnapping of a young

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Speaker 1: child obviously sexual abuse and perhaps physical abuse, the difference

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Speaker 1: from that in human trafficking. The two are similar in

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Speaker 1: some ways, but I think probably very different in others.

440
00:26:40,840 --> 00:26:42,280
Speaker 2: Can you kind of walk us through that.

441
00:26:44,000 --> 00:26:49,440
Speaker 6: Yeah, what happens in trafficking is and it's usually young girls.

442
00:26:49,520 --> 00:26:53,960
Speaker 6: There are some young boys, but I think the numbers

443
00:26:53,960 --> 00:26:58,520
Speaker 6: like ninety five are young girls, and so they usually

444
00:26:58,600 --> 00:27:04,639
Speaker 6: come from unstable home environments. Uh, and so they're just

445
00:27:04,760 --> 00:27:08,280
Speaker 6: looking for someone, uh, to you know, kind of take

446
00:27:08,320 --> 00:27:11,200
Speaker 6: care of them. Sometimes they're runaways and things like that.

447
00:27:11,680 --> 00:27:14,840
Speaker 6: And so what the trafficker does is, uh, he grooms

448
00:27:14,880 --> 00:27:18,880
Speaker 6: the little girls into thinking that they can trust him.

449
00:27:19,480 --> 00:27:23,560
Speaker 6: And the trafficker is usually a male, and then he

450
00:27:24,800 --> 00:27:33,720
Speaker 6: persuades or often coerces the young girls into uh performing

451
00:27:33,800 --> 00:27:37,440
Speaker 6: sex acts. And he gets the money from the clients,

452
00:27:37,440 --> 00:27:41,040
Speaker 6: of course. And then another thing your listeners whighte might

453
00:27:41,119 --> 00:27:44,040
Speaker 6: want to know is who are these clients? And another

454
00:27:44,400 --> 00:27:47,399
Speaker 6: another thing that you know I learned in the hearing

455
00:27:47,440 --> 00:27:51,000
Speaker 6: and also and sent them some of my own research

456
00:27:51,119 --> 00:27:55,960
Speaker 6: on it, was it's not necessarily who you think, because

457
00:27:56,040 --> 00:28:02,239
Speaker 6: to the quote, premium product is thirteen and fourteen year

458
00:28:02,280 --> 00:28:05,280
Speaker 6: old girls. That's what these creeps that want to do

459
00:28:05,320 --> 00:28:09,240
Speaker 6: these things want, and so that's expensive. And so the

460
00:28:09,640 --> 00:28:13,239
Speaker 6: dirty old man, you know, drinking a beer outside of

461
00:28:13,240 --> 00:28:16,360
Speaker 6: a convenience store, he can't afford that. So it's these

462
00:28:16,440 --> 00:28:21,400
Speaker 6: rich people like Jef free Epstein, people like that, right,

463
00:28:21,400 --> 00:28:25,360
Speaker 6: And so the trafficking part comes in that the trafficker

464
00:28:27,200 --> 00:28:31,879
Speaker 6: makes these girls available to other people. Understand So instead

465
00:28:31,920 --> 00:28:38,920
Speaker 6: of instead of selling drugs or guns, they're selling girls.

466
00:28:39,360 --> 00:28:43,360
Speaker 1: Gotcha, have there been any cases recently, I guess federal

467
00:28:43,400 --> 00:28:46,600
Speaker 1: cases or state cases that you know of or that

468
00:28:46,680 --> 00:28:49,960
Speaker 1: you may have been involved in and that actually, you know,

469
00:28:50,800 --> 00:28:53,760
Speaker 1: went to sentencing. I guess I'm just kind of interested

470
00:28:53,920 --> 00:28:58,040
Speaker 1: in what kind of sentences are handed out for these creeps.

471
00:28:57,600 --> 00:28:58,240
Speaker 2: That do this.

472
00:28:59,600 --> 00:29:02,200
Speaker 6: Yeah, they get them, they get you know, twenty thirty

473
00:29:02,280 --> 00:29:07,320
Speaker 6: years you know, Jeffrey Epstein did plead, you know, not

474
00:29:08,400 --> 00:29:12,720
Speaker 6: plead to something lesser, but they got they got them,

475
00:29:12,760 --> 00:29:14,800
Speaker 6: and because that's all over the news, as you know,

476
00:29:15,520 --> 00:29:19,760
Speaker 6: and so they then sent them to prison. And there's

477
00:29:19,800 --> 00:29:22,880
Speaker 6: a debate about whether someone killed them, kill them in prison,

478
00:29:22,960 --> 00:29:28,479
Speaker 6: or whether he committed suicide in prison. And I was

479
00:29:28,520 --> 00:29:32,520
Speaker 6: talking to your your cohort, Bob France the other day,

480
00:29:32,560 --> 00:29:38,280
Speaker 6: and Bob's theory is that someone killed them because Epstein,

481
00:29:38,600 --> 00:29:42,600
Speaker 6: in order to get better prison situations for himself, he

482
00:29:42,640 --> 00:29:46,760
Speaker 6: would have started naming names and the people that these rich,

483
00:29:46,800 --> 00:29:49,960
Speaker 6: powerful people didn't want their names to come out.

484
00:29:50,440 --> 00:29:50,760
Speaker 5: Got you.

485
00:29:51,640 --> 00:29:53,800
Speaker 1: Let me ask you, are you comfortable kind of walking

486
00:29:53,880 --> 00:29:56,680
Speaker 1: us through how your story ends up?

487
00:29:57,040 --> 00:29:58,320
Speaker 2: I mean, I'm going to tell you right now.

488
00:29:58,360 --> 00:30:00,520
Speaker 1: I'm going to get the book because I think it

489
00:30:00,680 --> 00:30:04,640
Speaker 1: looks like it'd be incredibly interesting. But can you are

490
00:30:04,640 --> 00:30:06,520
Speaker 1: you comfortable doing that or you don't want to give

491
00:30:06,560 --> 00:30:07,680
Speaker 1: it away. What do you think.

492
00:30:08,640 --> 00:30:11,320
Speaker 6: Yeah, I don't want to give away the ending, but

493
00:30:11,560 --> 00:30:13,760
Speaker 6: I'll just I'll kind of set the table for you.

494
00:30:14,080 --> 00:30:14,280
Speaker 4: One.

495
00:30:14,360 --> 00:30:17,000
Speaker 6: It is the page turner. I know that what we're

496
00:30:17,000 --> 00:30:21,080
Speaker 6: talking about is kind of you know, heavy, but it's

497
00:30:21,120 --> 00:30:25,600
Speaker 6: a page turner, so people do want to keep turning

498
00:30:25,640 --> 00:30:30,240
Speaker 6: the pages. One of my cousins said that his girlfriend

499
00:30:30,280 --> 00:30:32,600
Speaker 6: couldn't stop turning the pages, so that was nice year.

500
00:30:33,000 --> 00:30:36,280
Speaker 6: But there. I tell it from three points of view.

501
00:30:36,680 --> 00:30:41,840
Speaker 6: The main character is a law professor that's dedicated his life,

502
00:30:42,560 --> 00:30:48,080
Speaker 6: both professionally and personally to trying to eradicate human trafficking. Professionally,

503
00:30:48,640 --> 00:30:52,320
Speaker 6: he gets a statute and acted in the federal law

504
00:30:52,440 --> 00:30:54,640
Speaker 6: to try to punish it better that kind of thing,

505
00:30:54,880 --> 00:30:58,920
Speaker 6: and then personally he volunteers. I mean again, you're a lawyer,

506
00:30:58,960 --> 00:31:02,600
Speaker 6: so you know lawyers are often volunteer to be guardians

507
00:31:02,600 --> 00:31:06,200
Speaker 6: at LEDAM. Means the court asked them to help people

508
00:31:06,240 --> 00:31:09,760
Speaker 6: that can't help themselves, and usually it's a minor, and

509
00:31:09,800 --> 00:31:12,720
Speaker 6: so that's what he does as well. So it's told

510
00:31:12,760 --> 00:31:15,240
Speaker 6: from his point of view. Then it's told from the

511
00:31:15,280 --> 00:31:19,400
Speaker 6: point of view of the traffic young girl, and she

512
00:31:19,560 --> 00:31:23,440
Speaker 6: never gives her name. I call her Jane Doe. And again,

513
00:31:23,560 --> 00:31:26,000
Speaker 6: being a lawyer, you know, Jane Doe was used to

514
00:31:26,000 --> 00:31:29,600
Speaker 6: protect miners, but in her case, she won't tell anybody

515
00:31:30,520 --> 00:31:34,160
Speaker 6: what her name was. And it was when the book

516
00:31:34,240 --> 00:31:37,240
Speaker 6: was being copy edited, the copy editor wanted me to

517
00:31:37,280 --> 00:31:39,560
Speaker 6: give her a name, you know, I guess to give

518
00:31:39,600 --> 00:31:41,840
Speaker 6: the young girl some dignity, but I didn't think that

519
00:31:42,000 --> 00:31:44,960
Speaker 6: was right for the story because another thing that I've

520
00:31:45,040 --> 00:31:48,960
Speaker 6: learned is these young girls are trained not to reveal

521
00:31:49,000 --> 00:31:54,960
Speaker 6: their identity so people can't rescue them and and and

522
00:31:55,400 --> 00:31:57,480
Speaker 6: do that sort of thing. So that's the second point

523
00:31:57,480 --> 00:31:59,760
Speaker 6: of view. And of course the third point of view

524
00:32:00,800 --> 00:32:06,360
Speaker 6: is the trafficker himself, the bad guy in the story.

525
00:32:06,360 --> 00:32:08,240
Speaker 6: And I don't give him a name either. I just

526
00:32:08,320 --> 00:32:13,400
Speaker 6: call him the middle aged man. And so what it

527
00:32:13,560 --> 00:32:20,640
Speaker 6: ends up being, it's basically a chase. You know, as

528
00:32:20,680 --> 00:32:25,640
Speaker 6: you said in your intro. A Toledo police officer finds

529
00:32:25,640 --> 00:32:28,880
Speaker 6: her at a truck stop outside of Toledo and then

530
00:32:28,960 --> 00:32:33,720
Speaker 6: brings her in to juvenile services, and then the law

531
00:32:33,760 --> 00:32:38,400
Speaker 6: professor gets appointed her guardian, ad lied him to try

532
00:32:38,440 --> 00:32:41,120
Speaker 6: to find out who she is, where she's from, so

533
00:32:41,240 --> 00:32:44,200
Speaker 6: the court can return her to her home she then

534
00:32:44,360 --> 00:32:49,000
Speaker 6: runs away from that from him, right, and she had

535
00:32:49,000 --> 00:32:53,480
Speaker 6: also run away from the traffickers. So the trafficker, of course,

536
00:32:53,920 --> 00:32:55,760
Speaker 6: is trying to find her so he can bring her

537
00:32:55,800 --> 00:33:00,400
Speaker 6: back and make money from her. And so he's looking

538
00:33:00,440 --> 00:33:05,400
Speaker 6: for the my professor's looking for and you know, she's

539
00:33:06,480 --> 00:33:09,760
Speaker 6: she's trying to stay away from all of them, and

540
00:33:09,800 --> 00:33:12,440
Speaker 6: so she's on her own, on the run a lot.

541
00:33:12,520 --> 00:33:17,200
Speaker 6: And I really like the cover to the book because

542
00:33:17,200 --> 00:33:22,520
Speaker 6: it shows that the cover this is radio because so

543
00:33:22,560 --> 00:33:25,239
Speaker 6: you're listeners don't can't share it, but if they go

544
00:33:25,280 --> 00:33:30,200
Speaker 6: to Amazon they can sit. But it's it's a young girl.

545
00:33:30,320 --> 00:33:35,840
Speaker 6: You see her running down a railroad track. Yeah, that's

546
00:33:35,880 --> 00:33:38,040
Speaker 6: the image. I think it's beautiful, you know, And that's

547
00:33:38,200 --> 00:33:40,960
Speaker 6: what the girl looks like. You can tell she's a girl.

548
00:33:41,200 --> 00:33:44,600
Speaker 6: You can tell she's running away, that kind of thing.

549
00:33:44,880 --> 00:33:47,160
Speaker 6: And so a lot of these kids that are trafficked,

550
00:33:47,600 --> 00:33:50,120
Speaker 6: they don't trust anyone. They don't know who to trust.

551
00:33:50,600 --> 00:33:53,600
Speaker 6: And so one of the witnesses we heard from and

552
00:33:53,600 --> 00:33:57,880
Speaker 6: the hearing all these years ago was someone that sets

553
00:33:57,960 --> 00:34:01,840
Speaker 6: up these group homes to try to, you know, re

554
00:34:03,080 --> 00:34:09,680
Speaker 6: introduce these young victims into a trusting environment. And he says,

555
00:34:09,719 --> 00:34:13,280
Speaker 6: they're not going to tell anyone anything until they.

556
00:34:13,160 --> 00:34:14,760
Speaker 2: Can trust you, understand.

557
00:34:14,840 --> 00:34:18,520
Speaker 6: So his job is to try to build the trust

558
00:34:18,560 --> 00:34:24,439
Speaker 6: with these people. So that's I don't want to say

559
00:34:24,480 --> 00:34:29,600
Speaker 6: how it ends, no I gat but there's there's a

560
00:34:29,600 --> 00:34:33,240
Speaker 6: lot of action in it. And this is my fifth novel,

561
00:34:33,840 --> 00:34:37,600
Speaker 6: and you get better at things the more the more

562
00:34:37,640 --> 00:34:40,319
Speaker 6: you do, and so in this one, I wanted to

563
00:34:40,560 --> 00:34:45,279
Speaker 6: kind of keep propelling the action, and so I think

564
00:34:45,360 --> 00:34:47,600
Speaker 6: I I think I did it well.

565
00:34:47,640 --> 00:34:49,359
Speaker 1: I'll tell you, like I said, I don't know if

566
00:34:49,360 --> 00:34:51,680
Speaker 1: you've read them, but you're getting great reviews on it.

567
00:34:52,080 --> 00:34:54,040
Speaker 1: We only have a couple of minutes left, and I

568
00:34:54,040 --> 00:34:56,799
Speaker 1: wanted to make sure that I gave you time to

569
00:34:56,880 --> 00:35:00,160
Speaker 1: tell people how they can get your book and tell

570
00:35:00,200 --> 00:35:02,080
Speaker 1: you what I'm gonna do what I gotta do through

571
00:35:02,160 --> 00:35:05,759
Speaker 1: Amazon tomorrow to get it because it sounds fascinating to me.

572
00:35:06,800 --> 00:35:07,040
Speaker 8: Yeah.

573
00:35:07,160 --> 00:35:10,360
Speaker 6: Thanks, Yeah, so just go to Amazon. That's always the

574
00:35:10,400 --> 00:35:14,239
Speaker 6: best place to buy books. The novel is called The Trafficker,

575
00:35:15,200 --> 00:35:18,120
Speaker 6: and then my full name is Scott Douglas Gerber. That's

576
00:35:18,160 --> 00:35:21,719
Speaker 6: what I published my books under. And that's all you do.

577
00:35:21,800 --> 00:35:24,200
Speaker 6: You just type in my name or you type in

578
00:35:24,280 --> 00:35:26,960
Speaker 6: the title in the novel and it'll come up and

579
00:35:27,360 --> 00:35:33,200
Speaker 6: it's in hardback, paperback and kindle. It's the audio book's

580
00:35:33,239 --> 00:35:37,080
Speaker 6: being recorded now. It's not quite ready, but it'll be

581
00:35:37,160 --> 00:35:39,560
Speaker 6: audio book at some point, maybe in a month or two.

582
00:35:40,320 --> 00:35:45,360
Speaker 6: But it's available right now and hardback, paperback and kindle

583
00:35:46,400 --> 00:35:47,160
Speaker 6: on Amazon.

584
00:35:47,360 --> 00:35:49,960
Speaker 2: Gotcha. Hey, I tell you what, doctor Gerber.

585
00:35:50,040 --> 00:35:52,839
Speaker 1: Really appreciate you taking some time out to talk to

586
00:35:52,920 --> 00:35:55,719
Speaker 1: us tonight, and good luck on a book. I'm sure

587
00:35:55,719 --> 00:35:57,799
Speaker 1: you're going to do well with it, and maybe we

588
00:35:57,840 --> 00:36:00,759
Speaker 1: can get together about six months or so and talk

589
00:36:00,800 --> 00:36:01,279
Speaker 1: about it.

590
00:36:02,239 --> 00:36:02,640
Speaker 3: All right.

591
00:36:02,680 --> 00:36:04,040
Speaker 6: Thanks, I appreciate it. Mike.

592
00:36:04,320 --> 00:36:05,120
Speaker 1: Kind of nice.

593
00:36:04,880 --> 00:36:05,759
Speaker 6: Evening you too.

594
00:36:05,800 --> 00:36:07,600
Speaker 2: Thank you. All right.

595
00:36:07,680 --> 00:36:11,840
Speaker 1: That was doctor Scott Gerber who wrote what one of

596
00:36:11,880 --> 00:36:16,840
Speaker 1: the reviews said, I think was a legal thriller somebody

597
00:36:16,880 --> 00:36:20,640
Speaker 1: in the system, not a lot thrilling. And you know what,

598
00:36:20,840 --> 00:36:25,560
Speaker 1: he really approaches the subject of human trafficking in an

599
00:36:25,560 --> 00:36:29,359
Speaker 1: interesting way, doing it by fiction. I think that'll get

600
00:36:29,400 --> 00:36:32,799
Speaker 1: more people to read it too. So really appreciate him

601
00:36:33,080 --> 00:36:34,920
Speaker 1: coming on with us tonight. Hey, we got to take

602
00:36:34,920 --> 00:36:36,800
Speaker 1: a break for the news, but when we get back,

603
00:36:37,480 --> 00:36:43,520
Speaker 1: you know, the mainstream media portrays Somalians people from Somalia

604
00:36:43,920 --> 00:36:48,520
Speaker 1: as wonderful people who never do anything wrong. And I'm

605
00:36:48,560 --> 00:36:53,200
Speaker 1: sure the majority are like that. But is the mainstream

606
00:36:53,280 --> 00:36:56,399
Speaker 1: media are they giving you the full picture? We'll talk

607
00:36:56,440 --> 00:36:59,239
Speaker 1: about that when we get back. Mike Allen in for

608
00:36:59,360 --> 00:37:05,799
Speaker 1: Dan Carroll, seven hundred WLW News Radio seven hundred WLW.

609
00:37:05,920 --> 00:37:10,080
Speaker 1: Mike Allen in poor Dan Carroll tonight. Before we get

610
00:37:10,120 --> 00:37:12,240
Speaker 1: to our next guest, I just wanted to let everybody

611
00:37:12,320 --> 00:37:16,440
Speaker 1: know from eleven thirty to when we go off at midnight,

612
00:37:16,600 --> 00:37:20,640
Speaker 1: open lines, no guests, so feel free to call and vent.

613
00:37:21,680 --> 00:37:23,520
Speaker 2: Now let me ask a question.

614
00:37:24,600 --> 00:37:28,319
Speaker 1: Did you know that the state flag of Minnesota was

615
00:37:28,480 --> 00:37:31,439
Speaker 1: recently changed? I think it was May of last year,

616
00:37:32,600 --> 00:37:37,080
Speaker 1: and it now looks a heck of a lot like

617
00:37:37,160 --> 00:37:42,359
Speaker 1: the flag of Somalia. Here to talk about that and

618
00:37:42,560 --> 00:37:46,600
Speaker 1: many many other things is mister Daniel Greenfield. He's an

619
00:37:46,680 --> 00:37:51,480
Speaker 1: Israeli born journalist and columnist with nearly twenty years experience

620
00:37:51,560 --> 00:37:55,120
Speaker 1: writing for conservative publications. He's a great guest. I've had

621
00:37:55,200 --> 00:37:58,120
Speaker 1: him on a number of times. Mister Greenfield, thanks so

622
00:37:58,239 --> 00:37:59,440
Speaker 1: much for joining us tonight.

623
00:38:01,280 --> 00:38:03,640
Speaker 8: So always that's my pleasure. Thank you.

624
00:38:03,680 --> 00:38:05,719
Speaker 1: Can you tell me about what I just said? The

625
00:38:06,280 --> 00:38:09,480
Speaker 1: changing of the flag because I didn't know that. As

626
00:38:09,520 --> 00:38:12,919
Speaker 1: I'm preparing for this segment, I looked it up and boy,

627
00:38:12,920 --> 00:38:17,440
Speaker 1: you're right, I mean it it is similar, not completely

628
00:38:17,760 --> 00:38:21,400
Speaker 1: the same, but similar to the flag of Minnesota. Do

629
00:38:21,440 --> 00:38:24,719
Speaker 1: you agree with that, and if so, do you know

630
00:38:24,800 --> 00:38:26,000
Speaker 1: the story behind it?

631
00:38:27,600 --> 00:38:29,680
Speaker 8: Yeah, it's very strange and I'm Minnesota used to have

632
00:38:29,719 --> 00:38:33,399
Speaker 8: a more traditional symbol. Now let's get a flag that, yes,

633
00:38:33,480 --> 00:38:37,560
Speaker 8: looks rather similar to the Somali flag. And it's really

634
00:38:37,560 --> 00:38:39,680
Speaker 8: bizarre because, you know, for all the attention of the

635
00:38:39,680 --> 00:38:42,040
Speaker 8: Samalis get, you would think that they're a huge part

636
00:38:42,040 --> 00:38:44,520
Speaker 8: of the population, and they are not. They have a

637
00:38:44,560 --> 00:38:49,640
Speaker 8: disproportionate amount of influence in the Twin Cities, but they're

638
00:38:49,760 --> 00:38:53,040
Speaker 8: really not anything close to, you know, even being in

639
00:38:53,040 --> 00:38:56,160
Speaker 8: the double digits. Yet it's incredible how much money they've

640
00:38:56,160 --> 00:38:58,480
Speaker 8: taken in and looking at billions and frauds and are

641
00:38:58,600 --> 00:39:00,000
Speaker 8: estimating it as high as nine bills.

642
00:39:00,480 --> 00:39:01,760
Speaker 6: We already have nailed down.

643
00:39:01,640 --> 00:39:02,640
Speaker 5: Over one billion.

644
00:39:03,080 --> 00:39:06,279
Speaker 8: And you have every politician there, including the mayor of

645
00:39:06,320 --> 00:39:10,759
Speaker 8: Frey in Minneapolis, trying to speak in Somali. So they

646
00:39:10,760 --> 00:39:13,600
Speaker 8: are punching well above their weight, unfortunately.

647
00:39:13,440 --> 00:39:14,560
Speaker 2: No question about it.

648
00:39:14,760 --> 00:39:17,040
Speaker 1: I mean, do you know anything about who pushed the

649
00:39:17,400 --> 00:39:20,239
Speaker 1: flag change, and I would guess the governor would have

650
00:39:20,360 --> 00:39:21,400
Speaker 1: to side off on it.

651
00:39:22,080 --> 00:39:24,400
Speaker 2: You know, anything about that, I guess is the question.

652
00:39:26,239 --> 00:39:29,720
Speaker 8: We generally state flags are been around for a while.

653
00:39:30,400 --> 00:39:32,400
Speaker 8: All of a sudden a few years ago, they decided,

654
00:39:32,440 --> 00:39:35,279
Speaker 8: you know, we need to shake up the flag and

655
00:39:35,400 --> 00:39:39,440
Speaker 8: create a whole other flag. And no, people in Minnesota

656
00:39:39,520 --> 00:39:42,840
Speaker 8: are not especially happy with it. It's kind of strange looking.

657
00:39:42,880 --> 00:39:44,680
Speaker 8: It looks like a flag of a country. Now we're

658
00:39:44,800 --> 00:39:47,560
Speaker 8: the flag of a state. And people have asked questions,

659
00:39:47,560 --> 00:39:49,360
Speaker 8: you know, where is this coming from? Really?

660
00:39:50,360 --> 00:39:55,040
Speaker 1: Hey, in your piece, you've got that politician. Some politicians

661
00:39:55,080 --> 00:39:58,600
Speaker 1: are saying that Somalia built America.

662
00:39:59,480 --> 00:40:02,799
Speaker 2: That's new to me. What do you what? What do

663
00:40:02,840 --> 00:40:04,960
Speaker 2: you want to say about that? I guess is the question.

664
00:40:06,920 --> 00:40:09,640
Speaker 8: Somali certainly didn't build America. But we've had a number

665
00:40:09,680 --> 00:40:12,759
Speaker 8: of politicians, not just in Minnesota, but actually the mayor

666
00:40:12,800 --> 00:40:16,080
Speaker 8: of Boston come out and claim that Samali's both Boston

667
00:40:16,120 --> 00:40:18,120
Speaker 8: because you know, when I think of Boston, I think

668
00:40:18,200 --> 00:40:21,000
Speaker 8: of Somali's. You know, how could you have the American Revolution,

669
00:40:22,280 --> 00:40:26,320
Speaker 8: the Tea Party without Somali's Apparently they built everything the

670
00:40:26,440 --> 00:40:30,520
Speaker 8: reality is, of course, they didn't built Boston, they didn't

671
00:40:30,520 --> 00:40:33,600
Speaker 8: need builth Minnesota. They did, however, build enormous amounts of

672
00:40:33,640 --> 00:40:38,000
Speaker 8: fraud billions and millions of hours. They built the Democratic

673
00:40:38,040 --> 00:40:41,120
Speaker 8: Farmer Lagual Party in Minnesota, which has enormous amounts of

674
00:40:41,239 --> 00:40:44,319
Speaker 8: Protoco influence over the state and has been responsible for

675
00:40:44,360 --> 00:40:48,480
Speaker 8: the massive fraud. So what happens is these various Somali

676
00:40:48,520 --> 00:40:50,920
Speaker 8: groups that have been set up, hundreds of them, again

677
00:40:51,239 --> 00:40:55,480
Speaker 8: huge numbers. Uh, These organizations solicit money, then they passed

678
00:40:55,480 --> 00:40:57,600
Speaker 8: the money on to the politicians. They turn out and

679
00:40:57,640 --> 00:41:01,200
Speaker 8: they vote for these politicians and result as you've got

680
00:41:01,200 --> 00:41:02,800
Speaker 8: this perfect vicious cycle.

681
00:41:04,000 --> 00:41:04,160
Speaker 6: Yeah.

682
00:41:04,200 --> 00:41:07,520
Speaker 1: And you make the point too that Somalians are only

683
00:41:07,600 --> 00:41:10,560
Speaker 1: eight percent of the Minnesota tax burden.

684
00:41:11,560 --> 00:41:12,759
Speaker 2: What's your thought on that.

685
00:41:14,600 --> 00:41:18,120
Speaker 8: Yeah, that's a tiny percentage. You you know, we've had

686
00:41:18,160 --> 00:41:22,439
Speaker 8: this all these claims that the Samalis are really paying

687
00:41:22,440 --> 00:41:26,000
Speaker 8: a lot of taxes. No, you know, the average state

688
00:41:26,040 --> 00:41:28,840
Speaker 8: tax burden is over eight thousand dollars. They're paying hundreds

689
00:41:28,840 --> 00:41:33,400
Speaker 8: of dollars, considering that they've got a huge underage population,

690
00:41:33,960 --> 00:41:38,160
Speaker 8: considering that they're on every form of welfare imaginable two

691
00:41:38,239 --> 00:41:40,680
Speaker 8: hundred dollars isn't paying for anything. It's paying freckle a

692
00:41:40,760 --> 00:41:42,480
Speaker 8: week or two of school for their kids.

693
00:41:43,920 --> 00:41:45,480
Speaker 2: Let me ask you this too. I mean, you make

694
00:41:45,480 --> 00:41:46,720
Speaker 2: the point in your piece.

695
00:41:46,760 --> 00:41:48,960
Speaker 1: And by the way, I don't think I read the

696
00:41:49,880 --> 00:41:51,920
Speaker 1: name of the piece where you can get it to

697
00:41:51,920 --> 00:41:54,399
Speaker 1: see it on front page. And you got to help

698
00:41:54,400 --> 00:41:58,719
Speaker 1: me with this some Alerica. I know it's a play

699
00:41:58,760 --> 00:42:00,560
Speaker 1: on words, but how do you say that.

700
00:42:02,160 --> 00:42:05,760
Speaker 8: Maybe it's a little bit too complicated with America parts

701
00:42:05,760 --> 00:42:08,120
Speaker 8: of America becomes America, okay?

702
00:42:08,520 --> 00:42:12,920
Speaker 1: And the subtitle, I guess the rise of Somali crime, fraud,

703
00:42:13,880 --> 00:42:17,000
Speaker 1: in terror in America. And you also make the point

704
00:42:17,160 --> 00:42:20,640
Speaker 1: in the piece too that this is nothing new, that

705
00:42:20,960 --> 00:42:24,320
Speaker 1: all the way back to twenty and fifteen, the people

706
00:42:25,160 --> 00:42:28,440
Speaker 1: in a position to do something about it knew about

707
00:42:28,440 --> 00:42:30,480
Speaker 1: this and didn't do anything about this.

708
00:42:30,640 --> 00:42:31,400
Speaker 2: Is that accurate?

709
00:42:33,000 --> 00:42:35,440
Speaker 8: Oh well, then you know something about it. We had

710
00:42:35,480 --> 00:42:38,359
Speaker 8: a case in twenty fifteen very similar to what's going

711
00:42:38,440 --> 00:42:42,040
Speaker 8: on now. They went ahead, they fought some charges and

712
00:42:42,120 --> 00:42:45,160
Speaker 8: they dropped the chargers. Two of the people who were

713
00:42:45,200 --> 00:42:50,239
Speaker 8: going on behalf of fraudulent daycares. They really had the

714
00:42:50,640 --> 00:42:54,720
Speaker 8: you know, they already had a major consequences there because

715
00:42:54,760 --> 00:42:56,959
Speaker 8: they were barred from going the government for two years.

716
00:42:57,080 --> 00:42:59,160
Speaker 8: That's right, two years, okay.

717
00:42:59,320 --> 00:43:02,960
Speaker 1: And do you think now that the I'm sure you

718
00:43:03,000 --> 00:43:07,239
Speaker 1: followed the investigation into what's going on, is doing what

719
00:43:07,280 --> 00:43:10,560
Speaker 1: they need to do or Because we've talked about it

720
00:43:10,600 --> 00:43:14,280
Speaker 1: a lot with various authors on this show, Janie Heisel

721
00:43:14,360 --> 00:43:18,520
Speaker 1: of the Epoch Times is all over this and she

722
00:43:18,600 --> 00:43:21,400
Speaker 1: said the same thing that you did, that they knew

723
00:43:21,400 --> 00:43:25,480
Speaker 1: about this, but you know it's only now recently when

724
00:43:25,520 --> 00:43:28,480
Speaker 1: they're finally starting to do something about it. Do you

725
00:43:28,719 --> 00:43:30,640
Speaker 1: I guess the question is do you think the response

726
00:43:30,680 --> 00:43:34,919
Speaker 1: from the powers that be has been adequate so far?

727
00:43:35,280 --> 00:43:40,200
Speaker 2: Are they taking it serious? Finally it got to the.

728
00:43:40,160 --> 00:43:42,520
Speaker 8: Point where it wasn't just the millions before the navilions,

729
00:43:42,520 --> 00:43:44,680
Speaker 8: where it went into the billions, and at that point

730
00:43:44,719 --> 00:43:47,480
Speaker 8: there are some consequences. Dozen of these guys have been

731
00:43:47,480 --> 00:43:50,040
Speaker 8: put on trials, some of them have been convicted, which

732
00:43:50,120 --> 00:43:52,759
Speaker 8: is where we start. But this kind of fraud on

733
00:43:52,880 --> 00:43:54,920
Speaker 8: such a large scale is not just going to come

734
00:43:55,000 --> 00:43:58,839
Speaker 8: down to forty fifty guys. It's definitely much bigger than that.

735
00:43:59,400 --> 00:44:01,440
Speaker 8: And we're just seeing the tip of the iceberg. I

736
00:44:01,440 --> 00:44:03,600
Speaker 8: mean even think about just how some of these frauds

737
00:44:03,640 --> 00:44:06,360
Speaker 8: were pulled off. They had to recruit large numbers of

738
00:44:06,400 --> 00:44:10,800
Speaker 8: people to register their kids or their senior citizens to

739
00:44:10,960 --> 00:44:12,799
Speaker 8: places and then not actually send them there, and then

740
00:44:12,800 --> 00:44:15,400
Speaker 8: they got invoked for money. We're not even bothering to

741
00:44:15,400 --> 00:44:17,799
Speaker 8: prosecute any of those people who made that happen. We're

742
00:44:17,840 --> 00:44:19,919
Speaker 8: just going after the big works on top.

743
00:44:20,560 --> 00:44:20,759
Speaker 2: You know.

744
00:44:20,920 --> 00:44:25,560
Speaker 1: In one of the stories that miss Heisel had for

745
00:44:25,920 --> 00:44:30,600
Speaker 1: the Epoch Times, a prosecutor was quoted as saying if

746
00:44:30,600 --> 00:44:36,120
Speaker 1: he had a thousand prosecutors, he couldn't cover all the

747
00:44:36,160 --> 00:44:39,720
Speaker 1: fraud that was going on. Probably somewhat tongue in cheek,

748
00:44:39,800 --> 00:44:42,640
Speaker 1: but I think it makes the point, you know, and

749
00:44:42,680 --> 00:44:46,440
Speaker 1: you make the point too that there are four Somalians

750
00:44:46,480 --> 00:44:49,359
Speaker 1: in Gitmo and I didn't know that. You also tell

751
00:44:49,360 --> 00:44:54,439
Speaker 1: the story about a Somali citizen being trained to fly

752
00:44:54,560 --> 00:44:59,000
Speaker 1: a plane into the Bank of America Plaza in Atlanta.

753
00:44:59,120 --> 00:45:02,160
Speaker 2: Now that's right. Can you tell us about that please?

754
00:45:04,000 --> 00:45:06,160
Speaker 8: Some one of those stories that the media has chosen

755
00:45:06,239 --> 00:45:08,880
Speaker 8: not the play up. But we recently had a conviction

756
00:45:09,160 --> 00:45:12,840
Speaker 8: of a Somali Muslim terrast who was actually going through

757
00:45:12,880 --> 00:45:15,520
Speaker 8: airline training, you know, not any of the small stuff

758
00:45:15,520 --> 00:45:17,840
Speaker 8: like nine on one. He was going to get training

759
00:45:17,880 --> 00:45:19,800
Speaker 8: as an airline pilot because we're in the age of

760
00:45:19,840 --> 00:45:21,719
Speaker 8: the I when it comes to airline pilots. And he

761
00:45:21,760 --> 00:45:25,160
Speaker 8: had a little side plan which was to fly the

762
00:45:25,160 --> 00:45:27,520
Speaker 8: plane into the tallest building he could find in a plant,

763
00:45:27,600 --> 00:45:30,480
Speaker 8: which was the Bank of America Plaza. Had he done this,

764
00:45:30,680 --> 00:45:33,279
Speaker 8: it could have killed thousands of people. And it's again

765
00:45:33,320 --> 00:45:36,720
Speaker 8: it's the latest Somali turist plot. It's not the only one.

766
00:45:36,880 --> 00:45:40,480
Speaker 8: We've had terrest pods targeting Christmas tree lighting in Portland.

767
00:45:40,880 --> 00:45:44,320
Speaker 8: We've had a car ramming and killing at Ohio State University.

768
00:45:44,400 --> 00:45:46,280
Speaker 8: So this is an ongoing problem.

769
00:45:46,520 --> 00:45:48,680
Speaker 2: Yeah, and you don't read about it either. Let me

770
00:45:48,719 --> 00:45:50,560
Speaker 2: ask you. I think I know the answer, but I

771
00:45:50,600 --> 00:45:51,480
Speaker 2: do want to ask you.

772
00:45:51,760 --> 00:45:55,239
Speaker 1: Why do you think the mainstream media is treating this

773
00:45:55,320 --> 00:45:59,560
Speaker 1: community with kid gloves and not telling the story about

774
00:46:00,040 --> 00:46:02,200
Speaker 1: somebody trying to fly a plane into the Bank of

775
00:46:02,239 --> 00:46:03,280
Speaker 1: America Plaza.

776
00:46:03,640 --> 00:46:04,879
Speaker 2: Why do you think that is.

777
00:46:06,320 --> 00:46:08,520
Speaker 8: They never want to cover a Slama terrorism. When they're

778
00:46:08,560 --> 00:46:10,839
Speaker 8: forced to cover it, they quickly sweep it under the rug.

779
00:46:11,120 --> 00:46:13,640
Speaker 8: If it never goes over the rug, then they never

780
00:46:13,680 --> 00:46:15,480
Speaker 8: have to even bother sweeping it, so they don't want

781
00:46:15,480 --> 00:46:18,239
Speaker 8: to talk about it. They consider the swamophobia. They'd rather

782
00:46:18,280 --> 00:46:20,720
Speaker 8: spend a lot of time talking about how President Trump

783
00:46:20,760 --> 00:46:23,839
Speaker 8: is an aswamophope for suggesting that we don't need mass

784
00:46:23,840 --> 00:46:26,360
Speaker 8: Samali immigration to America.

785
00:46:26,600 --> 00:46:29,040
Speaker 1: You know, and you also write in your piece that

786
00:46:29,160 --> 00:46:32,759
Speaker 1: Somali gangs have taken over parts of New England. I'll

787
00:46:32,760 --> 00:46:35,239
Speaker 1: tell you, I follow stuff and I'd never heard that

788
00:46:35,280 --> 00:46:37,560
Speaker 1: one either. Can you tell us a little bit about

789
00:46:37,560 --> 00:46:38,160
Speaker 1: that please?

790
00:46:39,600 --> 00:46:43,600
Speaker 8: Oh, we have significant gang activity by Somali's, especially actually

791
00:46:43,680 --> 00:46:46,640
Speaker 8: New England and Maine, which is not something people think of,

792
00:46:46,719 --> 00:46:50,080
Speaker 8: but it's become a major crisis. You've got groups like

793
00:46:50,200 --> 00:46:53,560
Speaker 8: the Hot Samali Boys others that are you know, they

794
00:46:53,600 --> 00:46:56,720
Speaker 8: came here, they were fairly young, they set up organized crime.

795
00:46:56,760 --> 00:46:59,480
Speaker 8: And you actually have stuff you would not happen seeing

796
00:46:59,480 --> 00:47:03,160
Speaker 8: before in New England. Do you have serious weapons fire?

797
00:47:03,239 --> 00:47:05,440
Speaker 8: You have gangs actually fighting and killing each other in

798
00:47:05,480 --> 00:47:06,120
Speaker 8: the streets.

799
00:47:06,600 --> 00:47:11,000
Speaker 1: Have you heard anything about the Somali population in Ohio?

800
00:47:11,480 --> 00:47:13,959
Speaker 1: There was a big brew haha not too long ago,

801
00:47:14,080 --> 00:47:17,880
Speaker 1: where I think the President even commented on it. Supposedly

802
00:47:18,480 --> 00:47:21,680
Speaker 1: up in that community they were killing animals and eating them.

803
00:47:22,040 --> 00:47:25,040
Speaker 1: I think that one was a bit overplayed. But anything

804
00:47:25,200 --> 00:47:31,160
Speaker 1: specific to Ohio, mister Greenfield, that you can tell us about, we.

805
00:47:31,400 --> 00:47:36,080
Speaker 8: Definitely have fraught right here in Ohio. It's concentrated more

806
00:47:36,080 --> 00:47:40,200
Speaker 8: in Columbus, which has a large Somali population. Actually, fun

807
00:47:40,280 --> 00:47:42,800
Speaker 8: fact is that a number of members of these Somali

808
00:47:42,880 --> 00:47:46,719
Speaker 8: government as in Somalia, actually used to run healthcare companies

809
00:47:46,719 --> 00:47:47,440
Speaker 8: in Ohio.

810
00:47:47,719 --> 00:47:50,239
Speaker 1: Believe it or not, gotcha, Yeah, I mean it's kind

811
00:47:50,239 --> 00:47:53,520
Speaker 1: of an undercurrent here. And you know, the journalists that

812
00:47:53,560 --> 00:47:57,440
Speaker 1: I keep referring to, Janus Heizell of the Epoch Times

813
00:47:57,960 --> 00:48:01,000
Speaker 1: just did a piece on what's going on in Columbus.

814
00:48:01,080 --> 00:48:04,000
Speaker 1: As you say, it is the kind of hub for

815
00:48:04,000 --> 00:48:08,560
Speaker 1: Somali people, and it looks like, on a small scale

816
00:48:08,680 --> 00:48:12,959
Speaker 1: so far, at least, some of the same stuff that's

817
00:48:13,000 --> 00:48:16,640
Speaker 1: going on in Minnesota is going on in Ohio. And

818
00:48:16,800 --> 00:48:19,359
Speaker 1: I'll tell you, I hope they keep the heat up

819
00:48:19,400 --> 00:48:22,200
Speaker 1: on that. You also, and I did know about this one.

820
00:48:22,239 --> 00:48:26,480
Speaker 1: You mentioned our friend Ilhan Omar. She's got a friend

821
00:48:26,480 --> 00:48:29,600
Speaker 1: who's a restaurant owner who I believe, and you can

822
00:48:29,600 --> 00:48:33,480
Speaker 1: correct me if I'm wrong, was indicted and convicted for

823
00:48:33,600 --> 00:48:38,040
Speaker 1: some of this fraud and also made some contributions to her.

824
00:48:38,840 --> 00:48:42,600
Speaker 1: I think she's rotten to the core quite frankly, anything

825
00:48:42,600 --> 00:48:43,719
Speaker 1: that you can say about that.

826
00:48:45,280 --> 00:48:48,840
Speaker 8: Yes, this was a Safari restaurant to traditional Somali food

827
00:48:49,000 --> 00:48:52,560
Speaker 8: like purnch rise still i'm oma hat or a victory

828
00:48:52,600 --> 00:48:55,759
Speaker 8: party there. She was filmed actually handing out meals as

829
00:48:55,800 --> 00:48:59,120
Speaker 8: part of this big meal fraud that eventually totaled two

830
00:48:59,160 --> 00:49:02,400
Speaker 8: hundred and fifty million hours in which all these my

831
00:49:02,560 --> 00:49:06,040
Speaker 8: organizations were feeding millions and millions of meals to kids

832
00:49:06,040 --> 00:49:10,880
Speaker 8: who didn't actually exist. Now, when actually brought the Safari

833
00:49:10,880 --> 00:49:13,760
Speaker 8: people to trial, at the head of the restaurant quaimed

834
00:49:14,000 --> 00:49:16,279
Speaker 8: when he was asked, how can you just be how

835
00:49:16,320 --> 00:49:18,720
Speaker 8: are you feeding so many millions of meals to people?

836
00:49:19,120 --> 00:49:21,520
Speaker 8: I said, everybody in town was coming to Safari, and

837
00:49:21,840 --> 00:49:24,919
Speaker 8: I agrieve he was accused also threatening to kill a witness.

838
00:49:25,280 --> 00:49:27,560
Speaker 1: Yeah, I mean, I'm hoping she gets caught up in

839
00:49:27,640 --> 00:49:29,600
Speaker 1: this thing, but I guess we'll have to see.

840
00:49:29,880 --> 00:49:30,600
Speaker 2: Last question.

841
00:49:30,800 --> 00:49:33,480
Speaker 1: If people want to read this piece, which is excellent,

842
00:49:33,880 --> 00:49:34,839
Speaker 1: how would they do that.

843
00:49:36,800 --> 00:49:39,839
Speaker 8: We've got a great pamphlet collecting some of our investigative

844
00:49:39,840 --> 00:49:43,000
Speaker 8: reporting on these abuses. It's called Samorrow America. You can

845
00:49:43,040 --> 00:49:46,359
Speaker 8: find a front pagemac dot com David Harward's Freedom Center

846
00:49:46,440 --> 00:49:48,239
Speaker 8: right in our store up there.

847
00:49:48,360 --> 00:49:51,520
Speaker 2: Thank you, or on the sidebar. Okay, thank you so much,

848
00:49:51,560 --> 00:49:52,400
Speaker 2: mister Greenfield.

849
00:49:52,600 --> 00:49:54,880
Speaker 1: This has been educational for me, and I'm sure my

850
00:49:55,000 --> 00:49:57,600
Speaker 1: listeners do really appreciate you calling in.

851
00:49:59,120 --> 00:49:59,480
Speaker 6: Thank you.

852
00:49:59,680 --> 00:50:02,920
Speaker 2: Okay, Well, I'll tell you what. That's kind of frightening

853
00:50:03,000 --> 00:50:04,160
Speaker 2: it and just for the heck of it.

854
00:50:04,800 --> 00:50:07,040
Speaker 1: I mean, I actually looked at it on my phone,

855
00:50:07,560 --> 00:50:11,680
Speaker 1: look at the Somali flag and look at the new

856
00:50:11,800 --> 00:50:17,480
Speaker 1: flag of Minnesota. Not identical, but pretty darn similar. And

857
00:50:17,520 --> 00:50:21,160
Speaker 1: you have to ask yourself why. And you know, there

858
00:50:21,200 --> 00:50:24,640
Speaker 1: are some media outlets that have reported on this, but

859
00:50:24,960 --> 00:50:29,279
Speaker 1: very very few. There's got to be a story there somehow. Hey,

860
00:50:29,640 --> 00:50:31,480
Speaker 1: we got to take a break. We'll be back just

861
00:50:31,520 --> 00:50:35,760
Speaker 1: for a few minutes before our next guest. Mike Allen

862
00:50:35,840 --> 00:50:40,040
Speaker 1: in for Dan Carroll, seven hundred WLW Mike Allen in

863
00:50:40,160 --> 00:50:41,600
Speaker 1: for Dan Carroll tonight.

864
00:50:43,400 --> 00:50:44,319
Speaker 2: You know, I'll tell you what.

865
00:50:44,440 --> 00:50:50,040
Speaker 1: Through the miracle of the Internet and AI, which I've

866
00:50:50,080 --> 00:50:52,800
Speaker 1: been starting to use quite a bit, I have found

867
00:50:52,840 --> 00:50:57,839
Speaker 1: it to be pretty fair, actually really fair. They try

868
00:50:57,880 --> 00:51:01,000
Speaker 1: to tell both sides of the story and pretty accurate too.

869
00:51:01,080 --> 00:51:04,799
Speaker 1: So anyway, I'm just kind of interested in this whole

870
00:51:04,840 --> 00:51:07,880
Speaker 1: deal with the Minnesota flag because it is a big

871
00:51:07,920 --> 00:51:11,560
Speaker 1: deal to change the state flag. We have that stupid

872
00:51:11,960 --> 00:51:14,560
Speaker 1: pennant looking thing. I don't know why we have that,

873
00:51:15,200 --> 00:51:19,640
Speaker 1: but anyway, this is from AI. Minnesota officially adopted a

874
00:51:19,680 --> 00:51:23,439
Speaker 1: new state flag on May eleventh, twenty twenty four, replacing

875
00:51:23,520 --> 00:51:26,279
Speaker 1: the one hundred and thirty one year old design that

876
00:51:26,440 --> 00:51:32,200
Speaker 1: was criticized for featuring problematic imagery of Native Americans. Now

877
00:51:32,760 --> 00:51:35,680
Speaker 1: I looked up the old flag. As a matter of fact,

878
00:51:35,680 --> 00:51:38,200
Speaker 1: I'm looking at it now. I mean I kind of

879
00:51:38,280 --> 00:51:41,359
Speaker 1: like it. I don't see any what did they say,

880
00:51:41,719 --> 00:51:46,960
Speaker 1: problematic imagery of Native Americans? It looks like there's it

881
00:51:47,000 --> 00:51:50,560
Speaker 1: looks like a kind of a picture of an Indian

882
00:51:51,000 --> 00:51:54,239
Speaker 1: riding a horse. I mean, nobody's shooting at him. He's

883
00:51:54,280 --> 00:51:57,200
Speaker 1: not shooting at anybody. And it goes on to say

884
00:51:57,360 --> 00:52:01,719
Speaker 1: that woman, where is it here? The origin this design.

885
00:52:01,920 --> 00:52:08,120
Speaker 1: The new design was chosen by the State Emblems Redesign Commission. Boy,

886
00:52:08,160 --> 00:52:11,800
Speaker 1: I'll tell you what, you know what that's all about,

887
00:52:12,480 --> 00:52:16,040
Speaker 1: based on a proposal by Andrew Precker of.

888
00:52:17,239 --> 00:52:18,839
Speaker 2: Laverne, Minnesota.

889
00:52:19,560 --> 00:52:25,240
Speaker 1: Okay, here's the sixty four thousand dollars deal. Reason for change.

890
00:52:25,680 --> 00:52:31,719
Speaker 1: The previous flag was considered outdated, too complex, and offensive

891
00:52:31,760 --> 00:52:36,560
Speaker 1: to indigenous communities, as it depicted a white settler plowing

892
00:52:36,600 --> 00:52:41,040
Speaker 1: a field while a Native American rode away in the background.

893
00:52:41,719 --> 00:52:42,759
Speaker 2: That's what it looks like.

894
00:52:43,239 --> 00:52:46,520
Speaker 1: It doesn't look like the end of the whatever Native

895
00:52:46,560 --> 00:52:49,319
Speaker 1: American is trying to escape or anything. It's kind of

896
00:52:49,320 --> 00:52:52,600
Speaker 1: a cool state flag. It's ten times better than what

897
00:52:52,760 --> 00:52:55,960
Speaker 1: we have. And you know what, I could have cut

898
00:52:56,000 --> 00:52:59,839
Speaker 1: to the chase and read the last sentence in this

899
00:53:00,080 --> 00:53:02,480
Speaker 1: thing on AI and I'll read it for you here.

900
00:53:03,160 --> 00:53:06,400
Speaker 1: The new flag is a part of a broader, sometimes

901
00:53:06,480 --> 00:53:12,400
Speaker 1: controversial effort to modernize the state's official symbols. Are you

902
00:53:12,520 --> 00:53:18,319
Speaker 1: ready to be more inclusive? That last word? That's all

903
00:53:18,360 --> 00:53:22,000
Speaker 1: you need to know. So let's change the state flag

904
00:53:22,120 --> 00:53:28,400
Speaker 1: now for a small percentage relatively speaking of the population.

905
00:53:28,600 --> 00:53:31,640
Speaker 1: And you know, I guess the politician's got to make

906
00:53:31,719 --> 00:53:34,880
Speaker 1: sure those contributions keep on coming. Hey, we got to

907
00:53:34,920 --> 00:53:37,040
Speaker 1: take a break, but when we get back, we are

908
00:53:37,080 --> 00:53:39,600
Speaker 1: going to talk to Alex Chrant to feel you who

909
00:53:39,640 --> 00:53:43,000
Speaker 1: happens to be the chair of the Ohio Republican Party

910
00:53:43,400 --> 00:53:48,279
Speaker 1: about something that a candidate for a Democrat candidate for

911
00:53:48,480 --> 00:53:49,800
Speaker 1: state office said.

912
00:53:50,600 --> 00:53:52,120
Speaker 2: You're not going to believe this one.

913
00:53:53,000 --> 00:53:57,200
Speaker 1: Mike Allen In for Dan Carroll's seven hundred WLW ten

914
00:53:57,280 --> 00:54:00,880
Speaker 1: thirty nine News Radio seven hundred WLW Allen in for

915
00:54:01,200 --> 00:54:05,800
Speaker 1: Dan Carroll tonight. Well, I'll tell you you talk about

916
00:54:05,840 --> 00:54:11,279
Speaker 1: your unhinged rhetoric coming from the left, specifically the Democrats.

917
00:54:11,320 --> 00:54:14,799
Speaker 1: They're one and the same. Here's one for you, and

918
00:54:14,840 --> 00:54:18,960
Speaker 1: you're gonna hear it too. Elliot for him, I don't

919
00:54:19,000 --> 00:54:21,680
Speaker 1: know anything about him other than he's an idiot. He's

920
00:54:21,760 --> 00:54:26,000
Speaker 1: a Democrat candidate for Ohio Attorney General, and I would

921
00:54:26,000 --> 00:54:29,880
Speaker 1: point out that the Ohio Attorney General is the top

922
00:54:30,200 --> 00:54:34,719
Speaker 1: law enforcement officer in the state of Ohio. He said

923
00:54:34,840 --> 00:54:38,799
Speaker 1: some things in a forty second video that you're not

924
00:54:38,880 --> 00:54:40,680
Speaker 1: gonna believe, and I want you to hear it. And

925
00:54:40,719 --> 00:54:43,640
Speaker 1: then after that we're gonna talk to Alex Trant to

926
00:54:43,680 --> 00:54:47,000
Speaker 1: feel you. He's the big dog at the Ohio Republican Party.

927
00:54:47,000 --> 00:54:49,680
Speaker 1: He's the head guy. Want to get his thoughts on it.

928
00:54:49,880 --> 00:54:51,239
Speaker 1: Can you play that clip for me?

929
00:54:51,280 --> 00:54:51,600
Speaker 2: Please?

930
00:54:52,400 --> 00:54:52,520
Speaker 3: Hi?

931
00:54:53,400 --> 00:54:57,360
Speaker 9: This is Elia Fourhand, candidate for Ohio Attorney General. I

932
00:54:57,400 --> 00:54:59,840
Speaker 9: want to tell you what I mean when I say

933
00:55:00,160 --> 00:55:04,920
Speaker 9: that I am going to kill Donald Trump. I mean

934
00:55:04,960 --> 00:55:08,800
Speaker 9: I'm going to obtain a conviction rendered by a jury

935
00:55:08,960 --> 00:55:12,400
Speaker 9: of his peers at a standard of proof beyond a

936
00:55:12,480 --> 00:55:17,360
Speaker 9: reasonable doubt, based on evidence presented at a trial conducted

937
00:55:17,360 --> 00:55:22,120
Speaker 9: in accordance with the requirements of due process, resulting in

938
00:55:22,160 --> 00:55:27,480
Speaker 9: a sentence duly executed of capital punishment. That is what

939
00:55:27,520 --> 00:55:30,520
Speaker 9: I mean when I say that I am going to

940
00:55:30,600 --> 00:55:31,759
Speaker 9: kill Donald Trump.

941
00:55:33,480 --> 00:55:38,799
Speaker 1: Unbelievable. Unbelievable. I had to and Alex tipped me off

942
00:55:38,800 --> 00:55:41,319
Speaker 1: to this. I had to listen to that thing a

943
00:55:41,360 --> 00:55:45,800
Speaker 1: couple of times. I mean, you talk about your unhinged rhetoric,

944
00:55:46,320 --> 00:55:48,000
Speaker 1: and Alex, you had to fear you. Chair of the

945
00:55:48,000 --> 00:55:53,000
Speaker 1: Ohio Republican Party is with us, Alex. Obviously there's got

946
00:55:53,040 --> 00:55:54,279
Speaker 1: to be some blowback to this.

947
00:55:54,400 --> 00:55:55,160
Speaker 2: What are you hearing?

948
00:55:57,320 --> 00:55:58,040
Speaker 5: Well, thanks, Mike.

949
00:55:58,200 --> 00:56:02,560
Speaker 4: You know it's look, this is what the Democrats actually believe,

950
00:56:02,840 --> 00:56:05,440
Speaker 4: and no one wants to really say that out loud,

951
00:56:05,440 --> 00:56:08,719
Speaker 4: but the fact of the matter is Democrats across America

952
00:56:09,000 --> 00:56:12,120
Speaker 4: really do want President Trump to be gone. They went

953
00:56:12,200 --> 00:56:15,279
Speaker 4: him dead. And this guy says it blatantly I look,

954
00:56:15,560 --> 00:56:18,200
Speaker 4: I mean, there was an assassination attempt on the president

955
00:56:18,520 --> 00:56:21,560
Speaker 4: in the summer of twenty twenty four. But for him

956
00:56:21,600 --> 00:56:25,040
Speaker 4: turning his head in a few millimeters of a difference,

957
00:56:25,280 --> 00:56:28,120
Speaker 4: Donald Trump would be dead. And look, the mainstream media

958
00:56:28,160 --> 00:56:30,759
Speaker 4: wants you to forget that. They can't name or tell

959
00:56:30,800 --> 00:56:33,960
Speaker 4: you anything about his potential assassin. But this is where

960
00:56:33,960 --> 00:56:34,920
Speaker 4: the left is.

961
00:56:35,120 --> 00:56:35,400
Speaker 5: Right.

962
00:56:35,640 --> 00:56:39,680
Speaker 4: They shot and killed and eliminated a leading.

963
00:56:39,360 --> 00:56:41,240
Speaker 5: Voice on the right in Charlie Kirk.

964
00:56:41,800 --> 00:56:45,359
Speaker 4: So this is what they actually believe, and it is

965
00:56:45,400 --> 00:56:49,279
Speaker 4: now here in Ohio. And look, Ohio is my area.

966
00:56:49,320 --> 00:56:52,440
Speaker 4: But this guy, this forehand guy who's kind of known

967
00:56:52,800 --> 00:56:56,040
Speaker 4: for this kind of fiery, ridiculous rhetoric, we're actually.

968
00:56:55,760 --> 00:56:57,919
Speaker 5: Giving him a little bit of what he wants, which

969
00:56:58,000 --> 00:56:58,600
Speaker 5: is attention.

970
00:56:59,120 --> 00:57:03,760
Speaker 4: But this is what he's I will, you know, prosecute

971
00:57:04,000 --> 00:57:08,200
Speaker 4: President Trump and lead him to the death chamber.

972
00:57:08,400 --> 00:57:09,680
Speaker 5: This is what the man said.

973
00:57:09,920 --> 00:57:13,200
Speaker 4: He's running for attorney General of Ohio, Mike a job

974
00:57:13,280 --> 00:57:15,640
Speaker 4: you and I both know. Well, yeah, that's the chief

975
00:57:16,000 --> 00:57:18,960
Speaker 4: lawyer and law enforcement officer in the state of Ohio.

976
00:57:19,240 --> 00:57:21,800
Speaker 4: So look, this is the kind of unhanged rhetoric. And

977
00:57:22,000 --> 00:57:23,920
Speaker 4: if you're hearing this for the first time. I'll tell

978
00:57:23,920 --> 00:57:27,760
Speaker 4: you why, because Cincinnati media hasn't covered this widely, but

979
00:57:28,120 --> 00:57:31,960
Speaker 4: the rest of Ohio has covered this question of this lunatic,

980
00:57:32,040 --> 00:57:37,360
Speaker 4: this forehand guy calling for publicly the execution of Donald Trump.

981
00:57:37,520 --> 00:57:40,720
Speaker 4: And he's running, Mike for one of the biggest offices

982
00:57:40,720 --> 00:57:44,560
Speaker 4: in Ohio for attorney general. So yeah, he's unhanged. It's crazy,

983
00:57:45,000 --> 00:57:48,080
Speaker 4: and you know, I expect will beat him and his

984
00:57:48,160 --> 00:57:50,240
Speaker 4: Republicans will beat him. That's what we're dealing with.

985
00:57:50,400 --> 00:57:50,600
Speaker 7: You know.

986
00:57:50,920 --> 00:57:53,200
Speaker 1: And I only found out about it when you let

987
00:57:53,240 --> 00:57:55,760
Speaker 1: me know about it this say, afternoon, and you're right,

988
00:57:56,160 --> 00:57:59,560
Speaker 1: it has not been covered down here at all.

989
00:58:00,200 --> 00:58:02,640
Speaker 2: Let me ask you when did he say this, Alex,

990
00:58:02,680 --> 00:58:03,240
Speaker 2: do you know.

991
00:58:04,640 --> 00:58:05,720
Speaker 5: I think it was yesterday.

992
00:58:06,000 --> 00:58:08,640
Speaker 4: I think it was yesterday at some point during the

993
00:58:08,720 --> 00:58:13,240
Speaker 4: day he published this thing on his social media speaking

994
00:58:13,280 --> 00:58:15,760
Speaker 4: at the camera. And again, if you're hearing this for

995
00:58:15,840 --> 00:58:18,880
Speaker 4: the first time tonight, you know, ask your local press

996
00:58:18,920 --> 00:58:22,000
Speaker 4: why that is? Why is it that a leading candidate

997
00:58:22,000 --> 00:58:25,880
Speaker 4: for Attorney general of Ohio, you know, you know, running

998
00:58:25,960 --> 00:58:27,080
Speaker 4: in twenty twenty six.

999
00:58:27,160 --> 00:58:30,200
Speaker 5: This isn't some some into the future.

1000
00:58:29,920 --> 00:58:33,040
Speaker 4: Kind of thing running right now is calling for the

1001
00:58:33,160 --> 00:58:37,720
Speaker 4: prosecution and then capital punishment for the sitting president.

1002
00:58:37,800 --> 00:58:39,640
Speaker 3: You know, Mike, I guess say.

1003
00:58:39,560 --> 00:58:42,040
Speaker 4: I was no fan of Joe Biden. I've been a

1004
00:58:42,080 --> 00:58:45,840
Speaker 4: Republican my whole life. I've endured the Biden presidency, i

1005
00:58:45,920 --> 00:58:49,720
Speaker 4: endured the Obama presidency. Not once did I suggest that

1006
00:58:49,760 --> 00:58:54,000
Speaker 4: they should be prosecuted and executed. Right, as much as

1007
00:58:54,040 --> 00:58:57,880
Speaker 4: I thought the Biden crime family was corrupt and that

1008
00:58:57,920 --> 00:58:59,920
Speaker 4: they had issues, that they certainly did. And when he

1009
00:59:00,080 --> 00:59:04,320
Speaker 4: looks objectively what the Bidens did and Hunter Biden specifically

1010
00:59:04,720 --> 00:59:07,480
Speaker 4: trading off of his family's name and.

1011
00:59:07,400 --> 00:59:08,880
Speaker 3: Connections, no one ever.

1012
00:59:08,760 --> 00:59:12,760
Speaker 4: Suggested they be led to the death chamber and executed.

1013
00:59:12,960 --> 00:59:16,280
Speaker 5: That's ridiculous. That is unhinged rhetoric.

1014
00:59:16,680 --> 00:59:20,600
Speaker 4: And you know, look the leading candidates in Ohio for governor,

1015
00:59:21,400 --> 00:59:24,680
Speaker 4: you know Amy Actin who's running for governor, David Pepper

1016
00:59:24,840 --> 00:59:28,760
Speaker 4: who's writing from Cincinnati, none of them have distanced themselves

1017
00:59:28,760 --> 00:59:31,320
Speaker 4: from him. They want to sweep another rug and forget

1018
00:59:31,320 --> 00:59:34,840
Speaker 4: about it. But again, this is the modern Democratic Party.

1019
00:59:35,240 --> 00:59:39,960
Speaker 4: They literally want to kill their opponents instead of beating

1020
00:59:40,000 --> 00:59:41,080
Speaker 4: them ideologically.

1021
00:59:41,520 --> 00:59:42,040
Speaker 5: You know, at the.

1022
00:59:42,000 --> 00:59:46,560
Speaker 1: Ballot box two assassination attempts on the President of the

1023
00:59:46,640 --> 00:59:50,000
Speaker 1: United States, And as you said, the first one, but

1024
00:59:50,280 --> 00:59:54,600
Speaker 1: for really a miracle, he would not be here now.

1025
00:59:54,920 --> 00:59:58,919
Speaker 1: And this idiot says something like this, have you heard

1026
00:59:59,080 --> 01:00:02,800
Speaker 1: any backland so far, Alex, I mean, this guy he

1027
01:00:02,880 --> 01:00:05,720
Speaker 1: ought to be pulled from the from the ballot and

1028
01:00:05,760 --> 01:00:09,760
Speaker 1: replaced with some other Democrat. It's to me, And you know,

1029
01:00:10,080 --> 01:00:13,280
Speaker 1: I've seen a lot of things, as have you, politically,

1030
01:00:14,400 --> 01:00:16,960
Speaker 1: this one is truly unbelievable to me.

1031
01:00:19,080 --> 01:00:22,240
Speaker 4: Yeah, there's been minimal backlash. I mean, the Democrats who've

1032
01:00:22,280 --> 01:00:26,040
Speaker 4: spoken out have suggested that he's one of several Democrats

1033
01:00:26,040 --> 01:00:28,480
Speaker 4: on the ballot. But let me tell you something, Elliott Foehand,

1034
01:00:28,760 --> 01:00:31,680
Speaker 4: the guy who did this, Mike was at one point

1035
01:00:31,720 --> 01:00:35,760
Speaker 4: elected to the State House of Representatives. So at one

1036
01:00:35,800 --> 01:00:39,280
Speaker 4: point he was he was an elected leader within the

1037
01:00:39,320 --> 01:00:43,720
Speaker 4: Democratic Party. And again, you know, look, I've been to

1038
01:00:43,760 --> 01:00:46,040
Speaker 4: the airwaves many of times with you and others to

1039
01:00:46,080 --> 01:00:48,040
Speaker 4: complain about the mainstream press.

1040
01:00:48,520 --> 01:00:50,720
Speaker 5: But here's one more example of.

1041
01:00:50,600 --> 01:00:55,800
Speaker 4: Them failing to point out the extremists on the Democratic side.

1042
01:00:55,840 --> 01:00:59,160
Speaker 4: This is extremism. This is the kind of dangerous kind

1043
01:00:59,200 --> 01:01:02,160
Speaker 4: of rhetoric that we just are used to in modern

1044
01:01:02,200 --> 01:01:05,160
Speaker 4: American politics. And look, yeah, Donald Trump has pushed the

1045
01:01:05,280 --> 01:01:07,720
Speaker 4: envelope on just kind of his outspokenness.

1046
01:01:07,960 --> 01:01:09,560
Speaker 5: But he's not talking.

1047
01:01:09,200 --> 01:01:13,360
Speaker 4: About executing his opponents, which is what this guy talked about.

1048
01:01:13,400 --> 01:01:16,520
Speaker 4: So look, it's outrageous, and you know, I'd like to

1049
01:01:16,560 --> 01:01:18,960
Speaker 4: see our press pick it up more and condemn it.

1050
01:01:19,160 --> 01:01:21,919
Speaker 4: So this kind of rhetoric can leave the public square mic.

1051
01:01:22,040 --> 01:01:25,400
Speaker 4: But you know, I'm not confident because the Democrats are

1052
01:01:25,720 --> 01:01:29,560
Speaker 4: are in bed frankly with the mainstream press, and you

1053
01:01:29,600 --> 01:01:32,360
Speaker 4: know it's hard to get the objective coverage of this

1054
01:01:32,480 --> 01:01:33,800
Speaker 4: kind of outrageous conduct.

1055
01:01:33,960 --> 01:01:36,640
Speaker 1: Yeah, and this is a travesty that somebody's got to

1056
01:01:36,680 --> 01:01:40,720
Speaker 1: do something about it. And uh, if Amy Acton doesn't

1057
01:01:40,760 --> 01:01:44,960
Speaker 1: condemn it, the veig Ramaswami ought to wrap that around

1058
01:01:45,000 --> 01:01:51,000
Speaker 1: her neck. Uh, not literally but figuratively, because I mean

1059
01:01:51,080 --> 01:01:53,800
Speaker 1: she's in a position to do that. But I'm not

1060
01:01:53,920 --> 01:01:56,240
Speaker 1: holding my breath. You know, you mentioned before that this

1061
01:01:56,280 --> 01:01:59,240
Speaker 1: guy was a state rep. I found in my research

1062
01:01:59,320 --> 01:02:05,280
Speaker 1: today in twenty twenty three, Democrats removed him from all

1063
01:02:05,320 --> 01:02:09,480
Speaker 1: of his committee assignments because of his abusive behavior towards

1064
01:02:09,480 --> 01:02:13,280
Speaker 1: staff and his colleagues. I mean that kind of says

1065
01:02:13,320 --> 01:02:14,240
Speaker 1: it right there too.

1066
01:02:16,680 --> 01:02:17,760
Speaker 5: Well, no question about it.

1067
01:02:17,800 --> 01:02:20,920
Speaker 4: I mean, look, this again, this is a pattern you

1068
01:02:20,960 --> 01:02:23,479
Speaker 4: see with Democrats. I don't know if you saw today

1069
01:02:23,480 --> 01:02:27,920
Speaker 4: and at Amy Klobashar, who announced for governor of Minnesota,

1070
01:02:28,160 --> 01:02:32,440
Speaker 4: also has this very lengthy history mic of abusing staff

1071
01:02:32,920 --> 01:02:37,000
Speaker 4: and being disrespectful and being a screamer around the office.

1072
01:02:37,080 --> 01:02:39,280
Speaker 4: And you know, Mike, you ran a large office. I've

1073
01:02:39,280 --> 01:02:41,960
Speaker 4: been a boss for twenty years in some capacity. But

1074
01:02:42,040 --> 01:02:45,800
Speaker 4: these Democrats, they abuse their staff. These are people that

1075
01:02:45,840 --> 01:02:48,880
Speaker 4: are just not comfortable with kennel where they are psychologically

1076
01:02:49,520 --> 01:02:50,480
Speaker 4: speaking candidly.

1077
01:02:50,720 --> 01:02:52,520
Speaker 3: So you know, you get this situation.

1078
01:02:52,080 --> 01:02:55,160
Speaker 4: Where these people are difficult. That's who this guy is.

1079
01:02:55,440 --> 01:02:59,000
Speaker 4: He's an unhinged Democrat. You know, not enough people have

1080
01:02:59,080 --> 01:03:02,360
Speaker 4: called him out as tonight, Frank, I've not seen Amy,

1081
01:03:02,440 --> 01:03:05,880
Speaker 4: actor David Pepper, or even Shared Brown say this guy

1082
01:03:05,960 --> 01:03:08,600
Speaker 4: is not part of the Democratic team. But the reason

1083
01:03:08,640 --> 01:03:11,160
Speaker 4: they don't like is because their base and more than

1084
01:03:11,160 --> 01:03:14,560
Speaker 4: the base and the Democratic Party fundamentally wants to see

1085
01:03:14,760 --> 01:03:15,760
Speaker 4: Donald Trump dead.

1086
01:03:15,880 --> 01:03:16,320
Speaker 5: They just do.

1087
01:03:16,480 --> 01:03:18,200
Speaker 4: We hear it time and again. They think that's the

1088
01:03:18,240 --> 01:03:21,480
Speaker 4: only way to kind of eliminate for them. Has been

1089
01:03:21,960 --> 01:03:25,160
Speaker 4: you know, a twelve year challenge, right, Donald Trump came

1090
01:03:25,200 --> 01:03:29,360
Speaker 4: down that escalator in twenty fifteen and ever since then,

1091
01:03:29,400 --> 01:03:33,080
Speaker 4: he has changed American politics and the Democrats simply can't

1092
01:03:33,120 --> 01:03:36,200
Speaker 4: deal with it. They can't deal with a populace, you know,

1093
01:03:36,320 --> 01:03:39,520
Speaker 4: out of the mainstream kind of president who is talking

1094
01:03:39,560 --> 01:03:43,800
Speaker 4: about issues that matter to just regular old Ohioans and Americans.

1095
01:03:43,800 --> 01:03:47,960
Speaker 4: So you know, they have been without a response. So

1096
01:03:48,080 --> 01:03:50,400
Speaker 4: one of the responses is to try to end his life,

1097
01:03:50,480 --> 01:03:54,760
Speaker 4: which is so totally ridiculous and so extreme that I

1098
01:03:54,800 --> 01:03:57,760
Speaker 4: hope Ohioans, I know Ohioans will reject the questions. Well

1099
01:03:57,800 --> 01:04:00,120
Speaker 4: the rest of Americans rejected, I sure hope so well.

1100
01:04:00,640 --> 01:04:01,440
Speaker 2: You know, I kind of.

1101
01:04:01,360 --> 01:04:05,360
Speaker 1: Thought the deal was coming out of the last shooting

1102
01:04:05,560 --> 01:04:09,800
Speaker 1: in Minnesota, which you know appears to me, and they

1103
01:04:09,880 --> 01:04:12,800
Speaker 1: have to let the investigation happen, and I wish the

1104
01:04:12,840 --> 01:04:16,040
Speaker 1: President and Christy Noman, both of whom I liked very much,

1105
01:04:16,640 --> 01:04:19,720
Speaker 1: didn't pass judgment on that, you know, a half hour

1106
01:04:19,800 --> 01:04:23,920
Speaker 1: after it happened. However, having said that, in my capacity

1107
01:04:23,920 --> 01:04:27,000
Speaker 1: as prosecuting attorney, I had to look at those things

1108
01:04:27,400 --> 01:04:30,680
Speaker 1: and they're investigated up one side and down the other.

1109
01:04:31,160 --> 01:04:36,080
Speaker 1: But anyway, that aside, I kind of thought the message was, hey, guys,

1110
01:04:36,440 --> 01:04:39,880
Speaker 1: both sides, let's cool it. I don't the Republicans. I

1111
01:04:40,200 --> 01:04:43,959
Speaker 1: hadn't heard a Republican call anyone a Democrat. I guess

1112
01:04:44,040 --> 01:04:48,440
Speaker 1: the Democrats didn't get that memorandum.

1113
01:04:48,680 --> 01:04:49,840
Speaker 5: Well they really have not.

1114
01:04:50,080 --> 01:04:54,040
Speaker 4: And you know the look the Democrats have been extreme really,

1115
01:04:54,320 --> 01:04:57,320
Speaker 4: not even before Donald Trump. I mean remember what they

1116
01:04:57,320 --> 01:05:01,680
Speaker 4: did the President Bush. Some people seem to be forget Mike, right, Remember,

1117
01:05:01,720 --> 01:05:05,840
Speaker 4: I mean this was a guy they belittled and and trashed,

1118
01:05:05,920 --> 01:05:08,600
Speaker 4: and he was you know, he went war for oil

1119
01:05:08,720 --> 01:05:11,040
Speaker 4: and to offend his father. And look, I don't want

1120
01:05:11,040 --> 01:05:14,800
Speaker 4: to rehash all of that. President Bush, George W. Bush

1121
01:05:14,880 --> 01:05:17,800
Speaker 4: was a gentleman who had class in dignity and tried

1122
01:05:17,840 --> 01:05:18,360
Speaker 4: to operate.

1123
01:05:18,640 --> 01:05:20,320
Speaker 5: You know, it was good to bounds of what was doing. Well.

1124
01:05:20,320 --> 01:05:23,400
Speaker 4: The Democrats never lived by that and they trashed him. Well,

1125
01:05:23,400 --> 01:05:25,520
Speaker 4: now we've got Donald trumph actually fights back.

1126
01:05:25,720 --> 01:05:28,640
Speaker 5: Yeah, so you know, I mean, it really is. It's

1127
01:05:28,680 --> 01:05:30,320
Speaker 5: a crazy moment in politics.

1128
01:05:30,360 --> 01:05:33,000
Speaker 4: But I can tell you this is a huge Trump supporter,

1129
01:05:33,480 --> 01:05:37,480
Speaker 4: delegate for him for two conventions, totally on board with

1130
01:05:37,480 --> 01:05:41,240
Speaker 4: the President Trump message. This is a guy who is

1131
01:05:41,320 --> 01:05:45,600
Speaker 4: finally sad enough and is fighting back. And that's that's

1132
01:05:45,600 --> 01:05:48,800
Speaker 4: that's good to see because what the left that wants

1133
01:05:48,880 --> 01:05:51,680
Speaker 4: to do in America really will fundamentally destroy some of

1134
01:05:51,720 --> 01:05:54,120
Speaker 4: our most basic institutions.

1135
01:05:54,160 --> 01:05:55,480
Speaker 3: So that's that's kind.

1136
01:05:55,320 --> 01:05:57,360
Speaker 5: Of where I am. And I think President.

1137
01:05:56,920 --> 01:06:00,000
Speaker 4: Trump, uh, you know, he will serve out his term hope,

1138
01:06:00,000 --> 01:06:02,000
Speaker 4: continue to fight for things we all care about, and

1139
01:06:02,080 --> 01:06:04,640
Speaker 4: people can cut away from the noise and some of

1140
01:06:04,680 --> 01:06:08,360
Speaker 4: the unconventional you know, antics of the president who I love,

1141
01:06:08,440 --> 01:06:11,520
Speaker 4: but some of those antics are different. But he's about

1142
01:06:12,040 --> 01:06:16,000
Speaker 4: growing American jobs, bringing manufacturing back here. It's a very

1143
01:06:16,160 --> 01:06:19,600
Speaker 4: pro American message that really resonates with a lot of people,

1144
01:06:19,600 --> 01:06:22,480
Speaker 4: which is why you know he did win two presidential elections.

1145
01:06:22,560 --> 01:06:26,560
Speaker 1: Much Yep, one more example and then I'll change the

1146
01:06:26,600 --> 01:06:27,320
Speaker 1: subject here.

1147
01:06:27,800 --> 01:06:28,360
Speaker 2: JB.

1148
01:06:28,440 --> 01:06:32,280
Speaker 1: Pritzker. I mean, this guy is the governor of Illinois.

1149
01:06:33,080 --> 01:06:38,520
Speaker 1: He compared the Trump administration's approach to some issues with

1150
01:06:38,600 --> 01:06:42,240
Speaker 1: events in Nazi Germany. He did that during a twenty

1151
01:06:42,320 --> 01:06:47,040
Speaker 1: twenty five budget address. Perhaps what ought to happen these

1152
01:06:47,080 --> 01:06:49,520
Speaker 1: people ought to take some time out the Democrats were

1153
01:06:49,520 --> 01:06:53,120
Speaker 1: in a big hall somewhere and show some footage of

1154
01:06:53,120 --> 01:06:58,640
Speaker 1: what was discovered by the American troops throughout Europe after

1155
01:06:58,760 --> 01:07:02,600
Speaker 1: World War Two ended. I'm talking about the Holocaust. I

1156
01:07:02,800 --> 01:07:05,680
Speaker 1: just I can't believe that they would say that. But

1157
01:07:06,240 --> 01:07:08,880
Speaker 1: you know, there again, you made the point. That's all

1158
01:07:08,920 --> 01:07:11,480
Speaker 1: they got. Really, you know, it just seems like it.

1159
01:07:12,160 --> 01:07:12,640
Speaker 2: I don't know.

1160
01:07:13,880 --> 01:07:18,640
Speaker 4: Yeah, you know, Mike, the Nazi comparisons are so completely

1161
01:07:18,840 --> 01:07:21,400
Speaker 4: over the top, and I think the American people have

1162
01:07:21,480 --> 01:07:24,160
Speaker 4: seen through it. They've they've seen through it. I hope

1163
01:07:24,200 --> 01:07:26,160
Speaker 4: all of them have. I mean, look, you can have

1164
01:07:26,200 --> 01:07:29,360
Speaker 4: differences of opinion. You want to disagree with President Trump

1165
01:07:29,400 --> 01:07:33,240
Speaker 4: on tariffs, Let's have a debate about tariffs. I'm for that, right.

1166
01:07:33,400 --> 01:07:37,880
Speaker 4: Let's have a debate about about, you know, transgender issues.

1167
01:07:37,960 --> 01:07:41,920
Speaker 4: That's a fair American debate. Let's have a debate about

1168
01:07:42,160 --> 01:07:45,040
Speaker 4: other things that the president cares about, a strong border,

1169
01:07:45,200 --> 01:07:47,360
Speaker 4: let's talk about the future of immigration.

1170
01:07:47,640 --> 01:07:48,400
Speaker 10: These are all.

1171
01:07:48,320 --> 01:07:52,080
Speaker 4: Issues that we can actually debate. They disagree with Democrats,

1172
01:07:52,120 --> 01:07:56,840
Speaker 4: Mike on their view of immigration, but if they'refore amnesty

1173
01:07:57,000 --> 01:07:59,800
Speaker 4: for immigrants who are in the country and they want

1174
01:07:59,840 --> 01:08:02,040
Speaker 4: to preserved, Mike.

1175
01:08:01,960 --> 01:08:04,320
Speaker 5: Let's just have that good faith debate.

1176
01:08:04,720 --> 01:08:07,040
Speaker 4: I mean, I may not agree with it, I wildly

1177
01:08:07,120 --> 01:08:10,120
Speaker 4: disagree with them, But when you start calling its Nazis

1178
01:08:10,360 --> 01:08:13,640
Speaker 4: on questions like should we or should we not allow,

1179
01:08:14,120 --> 01:08:17,839
Speaker 4: you know, millions of people to enter our country without

1180
01:08:18,160 --> 01:08:21,720
Speaker 4: facing any kind of repercussions or expulsion. Ultimately, then we're

1181
01:08:21,720 --> 01:08:24,000
Speaker 4: just having a difference of opinion. But when they go

1182
01:08:24,040 --> 01:08:26,559
Speaker 4: to the Nazi route, it just shuts down debate and

1183
01:08:26,640 --> 01:08:29,960
Speaker 4: it shows them as having lost the debate because they

1184
01:08:30,000 --> 01:08:31,759
Speaker 4: can't debate legitimately on the issues.

1185
01:08:31,960 --> 01:08:32,799
Speaker 2: No, they can't.

1186
01:08:32,880 --> 01:08:38,280
Speaker 1: And I hope the Independence in particular are paying attention

1187
01:08:38,400 --> 01:08:41,960
Speaker 1: to this. And if this doesn't move them away from

1188
01:08:41,960 --> 01:08:45,800
Speaker 1: the Democrat column and into our column, I don't think

1189
01:08:45,840 --> 01:08:49,280
Speaker 1: anything will. Alex, we're out of time. As always, I

1190
01:08:49,360 --> 01:08:52,760
Speaker 1: so appreciate you calling it and giving your point of view.

1191
01:08:54,040 --> 01:08:56,080
Speaker 5: Happen to do it, Mike, have a great night and

1192
01:08:56,080 --> 01:08:57,120
Speaker 5: a great weekends, so too.

1193
01:08:57,200 --> 01:08:59,000
Speaker 2: Thank you. All right.

1194
01:08:59,040 --> 01:09:01,920
Speaker 1: Alex Rantaphil, who used to work for me in the

1195
01:09:01,920 --> 01:09:05,960
Speaker 1: Prosecutor's office. I'll tell you what, that young man has

1196
01:09:06,040 --> 01:09:08,479
Speaker 1: done a lot of things, and he's at the helm

1197
01:09:08,680 --> 01:09:12,799
Speaker 1: of the Ohio GOP and in my humble opinion, really

1198
01:09:12,840 --> 01:09:18,679
Speaker 1: doing a good job. You know, one more before we break, Okay, Yeah,

1199
01:09:18,800 --> 01:09:22,000
Speaker 1: Tim Waltz, And this is one of the milder things

1200
01:09:22,040 --> 01:09:26,960
Speaker 1: that he said. He described ice officers as quote a

1201
01:09:27,080 --> 01:09:30,840
Speaker 1: modern day Gestapo and a threat to the public. You

1202
01:09:30,880 --> 01:09:35,120
Speaker 1: know what, enough is enough with this crap. You know,

1203
01:09:36,240 --> 01:09:39,080
Speaker 1: like I said, go watch some of the footage of

1204
01:09:39,600 --> 01:09:42,840
Speaker 1: the concentration camps at the end of World War Two,

1205
01:09:43,240 --> 01:09:48,800
Speaker 1: then think twice please about calling someone a Nazi. You know,

1206
01:09:49,000 --> 01:09:51,720
Speaker 1: if it sounds like I'm poed about it, I am.

1207
01:09:51,960 --> 01:09:56,720
Speaker 1: It just ain't right And hopefully they won't pay at

1208
01:09:56,760 --> 01:09:58,760
Speaker 1: the ballot box. Hey, we got to take a break

1209
01:09:58,760 --> 01:10:01,880
Speaker 1: for the news. But when we get back. The twenty

1210
01:10:02,040 --> 01:10:06,920
Speaker 1: twenty five airline rankings came out from the Wall Street Journal.

1211
01:10:06,960 --> 01:10:09,880
Speaker 1: They do that every year, and when we get back,

1212
01:10:09,960 --> 01:10:14,440
Speaker 1: we're going to talk to iHeart Aviation expert Jay Ratliffe

1213
01:10:14,439 --> 01:10:19,240
Speaker 1: about it. It's pretty interesting. Mike Allen's seven hundred WLW.

1214
01:10:22,320 --> 01:10:23,639
Speaker 2: Lows Radio seven.

1215
01:10:23,520 --> 01:10:30,040
Speaker 1: Hundred WLW Mike Allen in for Dan Carroll tonight. Well,

1216
01:10:30,120 --> 01:10:32,960
Speaker 1: the Wall Street Journal, which I get, I think is

1217
01:10:33,000 --> 01:10:36,360
Speaker 1: a great newspaper, a little pricey, but pretty good.

1218
01:10:37,400 --> 01:10:38,160
Speaker 2: They are out.

1219
01:10:38,240 --> 01:10:40,599
Speaker 1: I think it came out Monday, the best and the

1220
01:10:40,640 --> 01:10:44,720
Speaker 1: worst airlines of twenty twenty five. You might be surprised

1221
01:10:44,720 --> 01:10:48,320
Speaker 1: by some of these. And who better to talk to

1222
01:10:48,439 --> 01:10:53,559
Speaker 1: about this than iHeart Aviation expert Jay Ratliffe. Jay, thanks

1223
01:10:53,560 --> 01:10:56,000
Speaker 1: so much for calling in today tonight.

1224
01:10:57,200 --> 01:11:00,679
Speaker 10: Well, you know, the deal has always been brother. You work,

1225
01:11:00,720 --> 01:11:04,040
Speaker 10: I work, so that's kind of how it goes. And

1226
01:11:04,320 --> 01:11:07,799
Speaker 10: if it's early in the morning or whatever, that's I'm right.

1227
01:11:07,640 --> 01:11:09,160
Speaker 2: Here with you. I appreciate it.

1228
01:11:09,240 --> 01:11:09,479
Speaker 5: Jay.

1229
01:11:09,680 --> 01:11:13,160
Speaker 1: Hey, before we get into the airlines, the market's looking

1230
01:11:13,200 --> 01:11:16,040
Speaker 1: pretty good. I'm not a real good market guy, but

1231
01:11:16,800 --> 01:11:19,040
Speaker 1: I think it's looking pretty good. I wanted to ask

1232
01:11:19,080 --> 01:11:22,599
Speaker 1: you how the day trading fun is going well.

1233
01:11:22,640 --> 01:11:25,320
Speaker 10: My students are doing well. In fact, this afternoon some

1234
01:11:25,320 --> 01:11:27,080
Speaker 10: of them could just trade in the evening because the

1235
01:11:28,200 --> 01:11:31,479
Speaker 10: jobs they had. But yeah, we had a stock in

1236
01:11:31,520 --> 01:11:34,680
Speaker 10: the five o'clock hour tonight that doubled in price. So

1237
01:11:35,120 --> 01:11:37,400
Speaker 10: I got a lot of happy students tonight that used

1238
01:11:37,400 --> 01:11:38,920
Speaker 10: a little bit of money and was able to double

1239
01:11:38,960 --> 01:11:39,720
Speaker 10: it in short order.

1240
01:11:39,760 --> 01:11:41,360
Speaker 5: And I agree with you.

1241
01:11:41,400 --> 01:11:45,639
Speaker 10: The markets are doing well. And you know you're always

1242
01:11:46,000 --> 01:11:48,599
Speaker 10: I'm always asked if I think the markets are going

1243
01:11:48,680 --> 01:11:50,840
Speaker 10: to be the next twenty years like they've been the

1244
01:11:50,920 --> 01:11:54,040
Speaker 10: last twenty years. Are we looking at as much prosperity

1245
01:11:54,080 --> 01:11:56,800
Speaker 10: as much market movement? And the thing I always come

1246
01:11:56,840 --> 01:11:59,559
Speaker 10: back to is something you and I have alluded to before,

1247
01:11:59,800 --> 01:12:03,360
Speaker 10: and that is the challenges fiscally that await us the

1248
01:12:03,400 --> 01:12:05,880
Speaker 10: next ten to twenty years are a lot, a lot

1249
01:12:05,960 --> 01:12:08,519
Speaker 10: bigger than what we've been looking at in the past.

1250
01:12:08,720 --> 01:12:12,080
Speaker 10: And that's why my concern has always been as far

1251
01:12:12,160 --> 01:12:15,040
Speaker 10: as the as far as the market. It always has

1252
01:12:15,120 --> 01:12:18,160
Speaker 10: been because you know, when you're talking about the national debt,

1253
01:12:18,200 --> 01:12:20,840
Speaker 10: you're talking about the social security time bomb. You and

1254
01:12:20,920 --> 01:12:24,280
Speaker 10: I've talked about all those undersplendid state pengeons, which, forgive me,

1255
01:12:24,280 --> 01:12:25,800
Speaker 10: I hate to bring that up when you and I talk.

1256
01:12:26,680 --> 01:12:29,439
Speaker 10: All of those things are out there and and I

1257
01:12:29,520 --> 01:12:32,679
Speaker 10: just don't I have zero confidence in anybody in Washington,

1258
01:12:32,760 --> 01:12:35,559
Speaker 10: d C. On either side of the aisle that is

1259
01:12:35,880 --> 01:12:38,360
Speaker 10: even beginning to address any of it. They may talk

1260
01:12:38,400 --> 01:12:40,800
Speaker 10: about it, they may assign a committee. And that's why

1261
01:12:40,800 --> 01:12:43,040
Speaker 10: I appreciate your work on Saturday so much, Mike, because

1262
01:12:43,080 --> 01:12:46,000
Speaker 10: you bring in a lot of interesting people that are

1263
01:12:46,120 --> 01:12:48,640
Speaker 10: knowledgeable about a lot of things that go on in

1264
01:12:48,760 --> 01:12:51,639
Speaker 10: DC and in politics, and if it's some of our

1265
01:12:51,680 --> 01:12:55,360
Speaker 10: local you know, individuals that are on top of things.

1266
01:12:56,240 --> 01:12:58,519
Speaker 10: But it just it helps to keep us reminded that

1267
01:12:58,560 --> 01:13:02,360
Speaker 10: we've got these real issues that absolutely have to be addressed,

1268
01:13:02,360 --> 01:13:05,000
Speaker 10: and I'm tired of them just ignoring all these problems.

1269
01:13:05,080 --> 01:13:07,439
Speaker 1: Well yeah, I mean it probably won't be you or I,

1270
01:13:07,720 --> 01:13:12,280
Speaker 1: but our kids are our grandkids. Someday it's all going

1271
01:13:12,360 --> 01:13:15,160
Speaker 1: to come home to roost when you got a deficit

1272
01:13:15,280 --> 01:13:18,760
Speaker 1: like we got. But let me get to the airline thing, Jay.

1273
01:13:18,880 --> 01:13:23,599
Speaker 1: According to the Wall Street Journal, the best airline of

1274
01:13:23,680 --> 01:13:28,519
Speaker 1: twenty twenty five was Southwest. They were still second best

1275
01:13:28,960 --> 01:13:30,200
Speaker 1: in twenty twenty four.

1276
01:13:30,280 --> 01:13:31,040
Speaker 2: What do you think?

1277
01:13:31,920 --> 01:13:33,960
Speaker 10: I like it in fact, and I think when you

1278
01:13:34,000 --> 01:13:36,240
Speaker 10: look at the metrics that's used by the Wall Street Journal,

1279
01:13:36,280 --> 01:13:40,840
Speaker 10: and I share your sentiments about that paper it lands

1280
01:13:40,840 --> 01:13:45,880
Speaker 10: in my driveway every morning, is a It's indicative of

1281
01:13:45,920 --> 01:13:49,000
Speaker 10: what Southwest is doing. Of course, this week Southwest started

1282
01:13:49,040 --> 01:13:52,880
Speaker 10: for the first time in fifty four years. Assigned seats

1283
01:13:52,880 --> 01:13:57,080
Speaker 10: started on Tuesday. There's mixed reactions from some people that

1284
01:13:57,280 --> 01:14:00,320
Speaker 10: like it and some that do not, But Southwest Lunge

1285
01:14:00,360 --> 01:14:04,479
Speaker 10: has made it clear that look for us to pivot

1286
01:14:04,760 --> 01:14:06,720
Speaker 10: in a way to make more money, we've got to

1287
01:14:06,720 --> 01:14:10,479
Speaker 10: do specific things. One is assigned seats because that's the

1288
01:14:10,520 --> 01:14:13,639
Speaker 10: money generating type of thing where you have people when

1289
01:14:13,680 --> 01:14:17,880
Speaker 10: you make a reservation. Now you choose three different categories.

1290
01:14:18,240 --> 01:14:20,200
Speaker 10: You can have the standard seats, which are towards the

1291
01:14:20,200 --> 01:14:22,920
Speaker 10: rear of the airplane, you can have preferred seats, which

1292
01:14:22,920 --> 01:14:25,160
Speaker 10: are a little bit closer to the front, or you

1293
01:14:25,200 --> 01:14:27,120
Speaker 10: can have some of those with the extra leg room

1294
01:14:27,240 --> 01:14:30,280
Speaker 10: at an additional cost. So Southwest the scene that you

1295
01:14:30,280 --> 01:14:33,520
Speaker 10: can generate a lot more money by using those seat assignments,

1296
01:14:33,520 --> 01:14:35,760
Speaker 10: and of course for some families and things that might

1297
01:14:35,800 --> 01:14:38,000
Speaker 10: have a lot of people traveling, it's certainly going to

1298
01:14:38,040 --> 01:14:40,800
Speaker 10: work against them to an extent. But look, they also

1299
01:14:40,880 --> 01:14:44,240
Speaker 10: had to, you know, last year begin the process of

1300
01:14:44,320 --> 01:14:46,760
Speaker 10: charging for check bags. It used to be the first

1301
01:14:46,800 --> 01:14:48,960
Speaker 10: two bags flu free. Now if you had bag three,

1302
01:14:49,000 --> 01:14:52,759
Speaker 10: four or five. Look, they collected fifty sixty eighty million

1303
01:14:52,800 --> 01:14:55,880
Speaker 10: dollars a year on those. But they recognized they were

1304
01:14:55,960 --> 01:14:58,759
Speaker 10: really losing out on that and they had to start

1305
01:14:58,840 --> 01:15:01,120
Speaker 10: charging for check bags. And I was totally okay with

1306
01:15:01,160 --> 01:15:05,479
Speaker 10: that because I recognize that for them to succeed and

1307
01:15:05,520 --> 01:15:08,799
Speaker 10: thrive in this environment where you see Delta and United

1308
01:15:09,160 --> 01:15:13,759
Speaker 10: in a single quarter making a billion dollars in profit

1309
01:15:13,840 --> 01:15:16,640
Speaker 10: in a single quarter, and you know, Southwest is kind

1310
01:15:16,640 --> 01:15:20,080
Speaker 10: of like, you know, we're nowhere near that. Yeah, In fact, though,

1311
01:15:20,240 --> 01:15:22,600
Speaker 10: it was good back to the Southwest stock, which is

1312
01:15:22,760 --> 01:15:27,519
Speaker 10: luv because they're the love of airline. They I think

1313
01:15:27,520 --> 01:15:29,439
Speaker 10: their stock was up eighteen percent to day because they

1314
01:15:29,479 --> 01:15:31,760
Speaker 10: came out saying, you know what, our profits with the

1315
01:15:31,760 --> 01:15:35,559
Speaker 10: things that we're putting into place, could be quadrupled from

1316
01:15:35,560 --> 01:15:38,640
Speaker 10: what we're expecting. And obviously that got a lot of

1317
01:15:38,640 --> 01:15:42,320
Speaker 10: people on Wall Street off guard. But Mike, it's a

1318
01:15:42,680 --> 01:15:46,559
Speaker 10: reflection of the changes that they're making and trying to

1319
01:15:46,600 --> 01:15:50,439
Speaker 10: make things better for their customer and obviously we want

1320
01:15:50,479 --> 01:15:53,880
Speaker 10: Southwest to be incredibly healthy from a financial standpoint, like

1321
01:15:53,920 --> 01:15:57,000
Speaker 10: we do. A Spirit Frontier Allegiant blew all of them,

1322
01:15:57,479 --> 01:15:59,960
Speaker 10: and the fact that Southwest is moving in the direction

1323
01:16:00,080 --> 01:16:06,040
Speaker 10: of making themselves more you know, more profitable, and to

1324
01:16:06,120 --> 01:16:09,320
Speaker 10: a degree, a little bit more from a customer service standpoint,

1325
01:16:09,360 --> 01:16:12,679
Speaker 10: because look, if you've ever flown Southwest, the boarding process

1326
01:16:12,760 --> 01:16:15,919
Speaker 10: I always allude to is like back Black Friday at Walmart.

1327
01:16:16,280 --> 01:16:18,719
Speaker 10: You're flying through the door. There's a ton of people,

1328
01:16:18,720 --> 01:16:21,840
Speaker 10: it's a contact sport, and then you've got the forty

1329
01:16:21,880 --> 01:16:25,160
Speaker 10: five people in a wheelchair along with all their families,

1330
01:16:25,200 --> 01:16:28,120
Speaker 10: boarding before all the other people because they board first,

1331
01:16:28,479 --> 01:16:30,920
Speaker 10: and you have seventy five people on an airplane that's

1332
01:16:31,000 --> 01:16:34,120
Speaker 10: seats one hundred and fifty before the general boarding process begins.

1333
01:16:34,600 --> 01:16:38,200
Speaker 10: Now that there's assigned seats, that stuff is no longer

1334
01:16:38,520 --> 01:16:41,360
Speaker 10: as popular. And the Jesus lights, that's what we call them.

1335
01:16:41,400 --> 01:16:44,360
Speaker 10: Because forty five people need wheelchairs getting on and only

1336
01:16:44,439 --> 01:16:47,600
Speaker 10: three need them getting off, those days are going to

1337
01:16:47,640 --> 01:16:50,800
Speaker 10: be over. So I'm glad for the gate agents at Southwest.

1338
01:16:50,880 --> 01:16:53,280
Speaker 10: But yeah, congratulations to them for the award that they

1339
01:16:53,320 --> 01:16:55,559
Speaker 10: had with the Wall Street Journal. I think it's very

1340
01:16:55,560 --> 01:16:56,240
Speaker 10: well deserved.

1341
01:16:56,680 --> 01:17:01,800
Speaker 1: Coming in second out of nine is Allegiant Delta at third.

1342
01:17:02,479 --> 01:17:04,680
Speaker 1: Uh bringing up the rear jay looks like it's a

1343
01:17:04,840 --> 01:17:10,280
Speaker 1: tie with American and Frontier. Now I've flown both Frontier

1344
01:17:10,520 --> 01:17:14,519
Speaker 1: and Allegiant, never had a problem at all, but.

1345
01:17:14,640 --> 01:17:18,559
Speaker 10: Boy, Allegiant being well, Allegiant being in second place. They've

1346
01:17:18,560 --> 01:17:21,760
Speaker 10: earned it and they've done it. And you know, I'll

1347
01:17:21,760 --> 01:17:24,800
Speaker 10: never forget when they were looking at flying into Cincinnati,

1348
01:17:25,920 --> 01:17:28,360
Speaker 10: you know, Allegian thought, you know, we could end up

1349
01:17:28,400 --> 01:17:32,519
Speaker 10: going to Lunken, a smaller airport, because that's.

1350
01:17:32,360 --> 01:17:35,400
Speaker 5: What we tend to do. And the people at CVG.

1351
01:17:35,160 --> 01:17:38,679
Speaker 10: Said, you know, you can fly here and they said, look,

1352
01:17:38,720 --> 01:17:41,040
Speaker 10: we've got a very successful airline that's been making a

1353
01:17:41,040 --> 01:17:42,559
Speaker 10: lot of money for a lot of years. We do

1354
01:17:42,640 --> 01:17:46,160
Speaker 10: not fly into what they called NFL cities. We don't

1355
01:17:46,160 --> 01:17:48,920
Speaker 10: do big cities. We do small general airports because the

1356
01:17:48,960 --> 01:17:53,640
Speaker 10: operation costs are cheaper and we can pass with savings

1357
01:17:53,720 --> 01:17:56,960
Speaker 10: onto the customer. Well, there was a lot of very

1358
01:17:57,160 --> 01:18:01,559
Speaker 10: very persuasive and intelligent people at Cincinnati Airport that I've

1359
01:18:01,560 --> 01:18:03,760
Speaker 10: been sworn to secretcy that I can't drop their names.

1360
01:18:03,760 --> 01:18:05,400
Speaker 5: I'd love you because of the job they did.

1361
01:18:05,880 --> 01:18:06,559
Speaker 2: But Mike, they.

1362
01:18:06,479 --> 01:18:10,320
Speaker 10: Convinced Allegiance that it would be to their worthwhile and

1363
01:18:10,360 --> 01:18:13,240
Speaker 10: to their advantage to fly out of Cincinnati, one of

1364
01:18:13,280 --> 01:18:16,120
Speaker 10: the larger airports that they'd ever flown into. They came

1365
01:18:16,160 --> 01:18:20,479
Speaker 10: into here tentatively, and this was after Frontier brought their

1366
01:18:20,479 --> 01:18:23,639
Speaker 10: flight down from a Dayton one flight to day to Denver,

1367
01:18:23,920 --> 01:18:25,920
Speaker 10: and Allegiance comes in and says, you know what, our

1368
01:18:25,960 --> 01:18:29,720
Speaker 10: advanced bookings look good. And they started adding city after

1369
01:18:29,760 --> 01:18:32,080
Speaker 10: city after city. Then they have maintenance base, They've got

1370
01:18:32,120 --> 01:18:34,560
Speaker 10: all this other stuff that's ongoing as they continue to

1371
01:18:34,560 --> 01:18:38,160
Speaker 10: get bigger, and Cincinnati actually changed their business model because

1372
01:18:38,200 --> 01:18:39,800
Speaker 10: then they started saying, you know, if we could fly

1373
01:18:39,840 --> 01:18:42,639
Speaker 10: out of a bigger city like Cincinnati and still make

1374
01:18:42,800 --> 01:18:45,400
Speaker 10: the money we're making, maybe we could do that at

1375
01:18:45,439 --> 01:18:49,439
Speaker 10: other airports as well. So Cincinnati actually changed the way

1376
01:18:49,479 --> 01:18:53,760
Speaker 10: that Allegiant does business as a very successful company. And

1377
01:18:53,800 --> 01:18:56,559
Speaker 10: I tell you the times that I've flown them, because

1378
01:18:56,560 --> 01:19:00,760
Speaker 10: they've got a NonStop flight from here here to send

1379
01:19:00,880 --> 01:19:03,160
Speaker 10: to a Savannah, which you know that's where Sherry's from, right,

1380
01:19:03,200 --> 01:19:06,560
Speaker 10: So ninety minutes and you're there. So yeah, I was

1381
01:19:06,600 --> 01:19:10,280
Speaker 10: thrilled to see Allegiant taking second with our friends at

1382
01:19:10,280 --> 01:19:12,719
Speaker 10: Delta in third place, because that really goes to show

1383
01:19:12,800 --> 01:19:14,320
Speaker 10: just how good that airline is.

1384
01:19:14,840 --> 01:19:18,080
Speaker 2: What do you think about Allegiant being tied for last?

1385
01:19:19,280 --> 01:19:21,519
Speaker 10: You mean you mean Frontier and Frontier an American?

1386
01:19:21,720 --> 01:19:24,160
Speaker 1: Yeah, I mean I was a little surprised because I've

1387
01:19:24,160 --> 01:19:26,840
Speaker 1: always had a really good experience with them.

1388
01:19:27,400 --> 01:19:29,320
Speaker 10: I do too with Frontier, And I'll tell you the

1389
01:19:29,320 --> 01:19:32,120
Speaker 10: one that this surprises me as an American, And I'll be

1390
01:19:32,200 --> 01:19:35,000
Speaker 10: anxious to see next year, in the year after where

1391
01:19:35,040 --> 01:19:38,799
Speaker 10: this goes, because American airlines used to be all about

1392
01:19:39,120 --> 01:19:41,559
Speaker 10: the flights on time. I don't care what happens, come

1393
01:19:41,600 --> 01:19:44,480
Speaker 10: hell or high water. That that aircraft is being dispatched

1394
01:19:44,560 --> 01:19:48,040
Speaker 10: on time. And it was late last year that they said,

1395
01:19:48,080 --> 01:19:51,479
Speaker 10: you know what, from a customer service standpoint, we're going

1396
01:19:51,520 --> 01:19:53,639
Speaker 10: to leave it up to the gate agent. If they

1397
01:19:53,960 --> 01:19:55,840
Speaker 10: need to delay the flight by three or four minutes

1398
01:19:55,880 --> 01:19:57,960
Speaker 10: to get an extra twenty eight people on the airplane,

1399
01:19:58,400 --> 01:19:59,800
Speaker 10: we're going to leave that up to them, and we're

1400
01:19:59,800 --> 01:20:01,840
Speaker 10: going to even to their discretion. They started giving their

1401
01:20:01,840 --> 01:20:05,640
Speaker 10: employees more power, and then as the end of the

1402
01:20:05,720 --> 01:20:07,920
Speaker 10: year end of this year, they started using a lot

1403
01:20:07,960 --> 01:20:12,879
Speaker 10: of their artificial intelligence computer systems that actually would say, okay,

1404
01:20:13,479 --> 01:20:15,639
Speaker 10: on our flights going out of Dallas to the northeast,

1405
01:20:15,640 --> 01:20:18,200
Speaker 10: we've got good weather, so there's going to be less

1406
01:20:18,240 --> 01:20:21,400
Speaker 10: deviation in flight. The aircraft maybe have an eight or

1407
01:20:21,439 --> 01:20:26,760
Speaker 10: ten minute, maybe twelve minute kind of a cushion or

1408
01:20:26,800 --> 01:20:29,599
Speaker 10: buffer there, so if people are coming in late, they

1409
01:20:29,640 --> 01:20:31,559
Speaker 10: know we can hold that flight for twelve minutes before

1410
01:20:31,600 --> 01:20:34,519
Speaker 10: we dispatch it. So now they're trying to apply the

1411
01:20:34,680 --> 01:20:39,080
Speaker 10: the artificial intelligence factor to this, and all they're doing

1412
01:20:39,120 --> 01:20:41,320
Speaker 10: is trying to make things better and better for the consumer.

1413
01:20:41,360 --> 01:20:43,320
Speaker 10: They recently rolled out a mobile app that if your

1414
01:20:43,320 --> 01:20:48,200
Speaker 10: flight gets canceled through their aa dot Com mobile app

1415
01:20:48,360 --> 01:20:50,920
Speaker 10: all of a sudden, you get a notification apologies, your

1416
01:20:50,920 --> 01:20:52,880
Speaker 10: flight's been canceled. Here's your options. What do you want

1417
01:20:52,920 --> 01:20:55,880
Speaker 10: to do? You can immediately decide as far as you

1418
01:20:55,880 --> 01:20:59,080
Speaker 10: know what options you want, Mike, if there's a meal, voucher,

1419
01:20:59,280 --> 01:21:02,120
Speaker 10: transfer to vouch or a hotel that it's right there,

1420
01:21:02,240 --> 01:21:04,519
Speaker 10: click boom, it's there and you can present it for

1421
01:21:04,760 --> 01:21:07,040
Speaker 10: you don't have to get in line, don't have to

1422
01:21:07,080 --> 01:21:09,600
Speaker 10: beg for it. And that's why when I see this.

1423
01:21:09,760 --> 01:21:12,960
Speaker 10: Americans just reported their profits. I think the last quarter

1424
01:21:13,080 --> 01:21:16,160
Speaker 10: was roughly two hundred and fifty million dollars, but they

1425
01:21:16,160 --> 01:21:18,360
Speaker 10: said they lost a couple hundred million because of the

1426
01:21:19,439 --> 01:21:23,640
Speaker 10: government shut down. And of course the storm that we

1427
01:21:23,760 --> 01:21:26,120
Speaker 10: just had last week is probably going to cost them

1428
01:21:26,120 --> 01:21:28,280
Speaker 10: at least another one hundred and two million dollars in

1429
01:21:28,400 --> 01:21:33,840
Speaker 10: lost revenue. But Americans really, I think positioning themselves in

1430
01:21:33,920 --> 01:21:36,040
Speaker 10: such a way that I think you're going to start

1431
01:21:36,040 --> 01:21:39,639
Speaker 10: to see them serge and I especially see United trying

1432
01:21:39,680 --> 01:21:42,639
Speaker 10: to play hardball with them in Chicago on a lot

1433
01:21:42,640 --> 01:21:45,759
Speaker 10: of their routes, which tells me United sees that Americans

1434
01:21:45,800 --> 01:21:49,920
Speaker 10: starting to come back to Yeah, and that yeah, because

1435
01:21:49,960 --> 01:21:52,680
Speaker 10: they're trying to keep them down. But I'm telling you

1436
01:21:52,720 --> 01:21:55,200
Speaker 10: don't bet against the folks at American Airlines. I think

1437
01:21:55,200 --> 01:21:57,600
Speaker 10: that there's a very good possibility that they're going to

1438
01:21:57,680 --> 01:21:59,920
Speaker 10: turn things around in a very impressive way.

1439
01:22:00,240 --> 01:22:03,960
Speaker 1: We shall see. You know, this survey also breaks down

1440
01:22:04,479 --> 01:22:11,439
Speaker 1: some of the subtopics. I guess, on time arrivals, Delta clearly.

1441
01:22:11,560 --> 01:22:15,160
Speaker 5: In all of that, and nobody's even close. Mic, Well,

1442
01:22:15,240 --> 01:22:16,439
Speaker 5: somebody has even closed.

1443
01:22:16,479 --> 01:22:17,840
Speaker 2: Yeah, you're right.

1444
01:22:17,920 --> 01:22:23,320
Speaker 1: Southwest is next, and interestingly enough, Frontier bringing up the rear.

1445
01:22:24,640 --> 01:22:25,000
Speaker 5: Yeah.

1446
01:22:25,040 --> 01:22:27,040
Speaker 10: But you know, the one thing I wish they had done,

1447
01:22:27,080 --> 01:22:29,760
Speaker 10: and I didn't see it in the report, was on

1448
01:22:29,840 --> 01:22:33,719
Speaker 10: time arrivals is one thing, but completion factor is another.

1449
01:22:34,280 --> 01:22:38,200
Speaker 10: In other words, you know, it's one thing for your

1450
01:22:38,200 --> 01:22:41,360
Speaker 10: flights to be on time, but how many flights were

1451
01:22:41,920 --> 01:22:46,160
Speaker 10: not canceled? In other words, your completion factor that shows me,

1452
01:22:46,680 --> 01:22:50,639
Speaker 10: like today, Delta Airlines had fourteen percent of their flights delayed,

1453
01:22:50,640 --> 01:22:53,639
Speaker 10: which was four hundred and seventy flights were delayed, zero

1454
01:22:53,840 --> 01:22:59,840
Speaker 10: flight cancelations. Now that's not to say zero every flight

1455
01:22:59,920 --> 01:23:02,240
Speaker 10: was on time, because obviously it wasn't. You had several

1456
01:23:02,240 --> 01:23:05,639
Speaker 10: that were delayed. But their completion factor means we canceled

1457
01:23:05,680 --> 01:23:09,680
Speaker 10: very few flights we get there, and that's what a

1458
01:23:09,720 --> 01:23:12,720
Speaker 10: lot of consumers, especially business travelers, want to count on. Look,

1459
01:23:12,760 --> 01:23:15,439
Speaker 10: I understand that might be delayed, but at least if

1460
01:23:15,640 --> 01:23:19,000
Speaker 10: the flight completes itself, I'm going to get somewhere where

1461
01:23:19,000 --> 01:23:21,439
Speaker 10: I need to be, which is exactly it. There was

1462
01:23:21,479 --> 01:23:23,840
Speaker 10: a time a couple of summers ago, Delta put together

1463
01:23:23,960 --> 01:23:28,880
Speaker 10: one hundred days in a row without a single flight cancellation. Wow, Mike,

1464
01:23:28,920 --> 01:23:31,639
Speaker 10: I tell you, doing it in a week is something,

1465
01:23:31,640 --> 01:23:35,559
Speaker 10: but it was one hundred days and that and remember

1466
01:23:35,800 --> 01:23:39,479
Speaker 10: they're global, so that was no flight cancellations on the

1467
01:23:39,640 --> 01:23:43,120
Speaker 10: planet for one hundred straight days. And to me, that

1468
01:23:43,240 --> 01:23:47,040
Speaker 10: is far more impressive from a metrics standpoint than some

1469
01:23:47,120 --> 01:23:49,760
Speaker 10: of these other things, because yes, you want on time arrivals,

1470
01:23:49,800 --> 01:23:51,720
Speaker 10: and you know, sometimes you have a lot of these

1471
01:23:51,760 --> 01:23:55,120
Speaker 10: extreme delays and certain things that Wall Street Journal which

1472
01:23:55,160 --> 01:23:56,880
Speaker 10: is a great read for people to jump in and

1473
01:23:56,920 --> 01:23:59,720
Speaker 10: look at. But yeah, completion factor is always a big

1474
01:23:59,760 --> 01:24:03,599
Speaker 10: thing there, because Delta from the completion standpoint, again far

1475
01:24:03,680 --> 01:24:06,360
Speaker 10: and away comes in first place because they're one of

1476
01:24:06,360 --> 01:24:09,760
Speaker 10: the more dependable airlines from a completion standpoint than other

1477
01:24:09,800 --> 01:24:10,799
Speaker 10: carriers that we have.

1478
01:24:11,439 --> 01:24:14,200
Speaker 1: Yeah, canceled flights too, And I guess being at the

1479
01:24:14,240 --> 01:24:16,840
Speaker 1: top of this list is not good if I'm reading

1480
01:24:16,880 --> 01:24:17,280
Speaker 1: it right.

1481
01:24:17,479 --> 01:24:18,320
Speaker 2: I'll tell you one thing.

1482
01:24:18,360 --> 01:24:20,920
Speaker 1: I love the Wall Street Journal, like I said, but man,

1483
01:24:21,040 --> 01:24:24,719
Speaker 1: sometimes their charts are a little bit difficult, but looks

1484
01:24:24,760 --> 01:24:24,960
Speaker 1: like and.

1485
01:24:25,040 --> 01:24:29,200
Speaker 10: You just put a percentage next to it. Sometimes it's

1486
01:24:29,280 --> 01:24:32,000
Speaker 10: flights operated per hundred or per thousand.

1487
01:24:32,200 --> 01:24:34,720
Speaker 5: Yeah, that I can get. But you know, some of

1488
01:24:34,760 --> 01:24:36,000
Speaker 5: this stuff, especially when it's.

1489
01:24:35,880 --> 01:24:37,160
Speaker 10: Late at night, you're looking at it like that.

1490
01:24:37,320 --> 01:24:38,120
Speaker 5: My eyes hurt.

1491
01:24:38,600 --> 01:24:40,400
Speaker 10: You're right, but it looks like I don't know if

1492
01:24:40,400 --> 01:24:42,559
Speaker 10: that speaks to our age or what, brother, but I'm

1493
01:24:42,600 --> 01:24:44,000
Speaker 10: telling you, I just wish it wouldn't make it a

1494
01:24:44,040 --> 01:24:45,040
Speaker 10: little bit easier to read.

1495
01:24:45,200 --> 01:24:47,920
Speaker 1: It is definitely, in my case part of age. I'm

1496
01:24:47,920 --> 01:24:51,120
Speaker 1: sitting near squinting. But on the canceled flights, it looks

1497
01:24:51,160 --> 01:24:54,280
Speaker 1: like the dubious honor goes to a legiond If I'm

1498
01:24:54,320 --> 01:24:59,000
Speaker 1: reading this correctly, and American comes in at number.

1499
01:24:58,800 --> 01:25:04,000
Speaker 10: One, yes, so and again yeah, and well, I think

1500
01:25:04,040 --> 01:25:05,759
Speaker 10: American Today had no canceled flights.

1501
01:25:05,880 --> 01:25:06,759
Speaker 5: They had twenty nine.

1502
01:25:06,600 --> 01:25:09,920
Speaker 10: Percent of their flights delayed. But but Delta American United

1503
01:25:09,960 --> 01:25:14,160
Speaker 10: Today all three of them, not a single flight canceled.

1504
01:25:14,280 --> 01:25:16,360
Speaker 10: And that's impressive. It really is when you're talking about

1505
01:25:16,400 --> 01:25:19,320
Speaker 10: those three big airlines. And I didn't look at Southwest

1506
01:25:19,360 --> 01:25:22,040
Speaker 10: to round out the top four, but I mean, anytime

1507
01:25:22,040 --> 01:25:23,719
Speaker 10: you go through a full day without a single flight

1508
01:25:23,760 --> 01:25:27,680
Speaker 10: cancelation you've got thousands of flights, that's quite the accomplishment.

1509
01:25:27,720 --> 01:25:29,960
Speaker 10: And we really needed it because things have been so

1510
01:25:30,160 --> 01:25:32,559
Speaker 10: rough this week. This has been the best day of

1511
01:25:32,560 --> 01:25:35,360
Speaker 10: travel that we've had so far, from everything, you know,

1512
01:25:35,439 --> 01:25:37,240
Speaker 10: back to you know, all hands on deck kind of

1513
01:25:37,280 --> 01:25:39,800
Speaker 10: thing after the absolute mess. And I'll tell you, Mike,

1514
01:25:39,840 --> 01:25:42,280
Speaker 10: I've been doing this for thirty five years. I've never

1515
01:25:42,320 --> 01:25:44,760
Speaker 10: seen a day where you had Dallas canceled seventy one

1516
01:25:44,800 --> 01:25:47,479
Speaker 10: percent of their flights, Charlotte eighty eight percent of their

1517
01:25:47,520 --> 01:25:50,479
Speaker 10: flights go up North, Philadelphia ninety four percent of their

1518
01:25:50,479 --> 01:25:53,559
Speaker 10: flights canceled in a day. You know, I've seen regions

1519
01:25:53,600 --> 01:25:56,599
Speaker 10: impacted like a nor'easter or a hurricane in the South,

1520
01:25:57,080 --> 01:25:59,920
Speaker 10: but never from you know, the middle of the country

1521
01:26:00,120 --> 01:26:02,280
Speaker 10: all the way up and across where you had all

1522
01:26:02,280 --> 01:26:06,240
Speaker 10: these delays and cancelations. It was nuts. So I'm glad

1523
01:26:06,240 --> 01:26:08,439
Speaker 10: to see the Airlines today have kind of righted the

1524
01:26:08,479 --> 01:26:11,400
Speaker 10: ship and everything seems to be operating pretty close to

1525
01:26:11,520 --> 01:26:12,200
Speaker 10: full schedule.

1526
01:26:12,360 --> 01:26:12,960
Speaker 2: Looking good.

1527
01:26:13,000 --> 01:26:15,639
Speaker 1: Hey, we are out of time, Jay, Ratliffe, I really

1528
01:26:15,680 --> 01:26:18,519
Speaker 1: appreciate you staying up late to talk to us.

1529
01:26:18,640 --> 01:26:22,400
Speaker 2: Hey, blink's an interruption my day. You know that it's five.

1530
01:26:23,040 --> 01:26:25,040
Speaker 10: But no, Mike, it's always a pleasure, my friend.

1531
01:26:25,120 --> 01:26:26,000
Speaker 5: Keep up the good work.

1532
01:26:26,040 --> 01:26:29,439
Speaker 10: And again, the job you do on Saturday is greatly

1533
01:26:29,479 --> 01:26:30,440
Speaker 10: greatly appreciated.

1534
01:26:30,600 --> 01:26:34,759
Speaker 1: Thanks, Jay, I appreciate you, really appreciate it. Okay, thanks,

1535
01:26:35,080 --> 01:26:38,200
Speaker 1: all right. You know this is interesting, the whole the survey.

1536
01:26:38,360 --> 01:26:41,799
Speaker 1: I don't fly that much, but when I do, obviously,

1537
01:26:42,000 --> 01:26:45,600
Speaker 1: like everyone else, I look for the cheapest and allegiant

1538
01:26:45,600 --> 01:26:46,320
Speaker 1: in frontier.

1539
01:26:46,560 --> 01:26:48,160
Speaker 2: You know you had one at number one.

1540
01:26:48,439 --> 01:26:51,000
Speaker 1: No, I'm tied for I think it was second in

1541
01:26:51,040 --> 01:26:52,120
Speaker 1: the other at the bottom.

1542
01:26:52,400 --> 01:26:55,280
Speaker 2: I don't know. I guess everybody's experience is different.

1543
01:26:55,760 --> 01:26:59,559
Speaker 1: And also to the TSA people going through that whole

1544
01:26:59,600 --> 01:27:02,360
Speaker 1: deal and check it in, that's been great too. I

1545
01:27:02,400 --> 01:27:07,000
Speaker 1: mean they've actually been helpful and friendly. So hopefully that stage. Hey,

1546
01:27:07,000 --> 01:27:08,719
Speaker 1: we got to take a break, but when we get back,

1547
01:27:09,080 --> 01:27:11,360
Speaker 1: open lines if you want to call seven four nine

1548
01:27:11,400 --> 01:27:15,040
Speaker 1: seven thousand, one, eight hundred. The big one are the numbers.

1549
01:27:15,160 --> 01:27:17,320
Speaker 1: If you want to be a part of the fun.

1550
01:27:18,040 --> 01:27:28,680
Speaker 1: Mike Allen in for Dan Carroll seven hundred WLW. I

1551
01:27:28,720 --> 01:27:34,439
Speaker 1: think that's called techno or something like that. Kind of

1552
01:27:34,520 --> 01:27:39,080
Speaker 1: nice though, nice change of pace. Anyway, we are back

1553
01:27:39,240 --> 01:27:43,000
Speaker 1: Mike Allen in for Dan Carroll on a Thursday night.

1554
01:27:43,760 --> 01:27:47,519
Speaker 1: I'll tell you what, whenever I do radio here, whether

1555
01:27:47,560 --> 01:27:51,240
Speaker 1: it's my Saturday show or like tonight, I turn on

1556
01:27:51,400 --> 01:27:55,760
Speaker 1: Fox News in the studio here, obviously turn the sound down.

1557
01:27:56,640 --> 01:27:59,400
Speaker 1: I just saw a thing come over there. Crawler they

1558
01:27:59,400 --> 01:28:03,920
Speaker 1: call it. I guess y Katie Wilson, she is the

1559
01:28:03,960 --> 01:28:06,519
Speaker 1: Seattle mayor. I don't know if you've ever seen her

1560
01:28:07,360 --> 01:28:11,160
Speaker 1: she is. I mean, she's just a communist. I mean

1561
01:28:11,479 --> 01:28:15,240
Speaker 1: I mean that in a literal sense. How this woman

1562
01:28:15,280 --> 01:28:19,160
Speaker 1: got elected well Seattle, I guess And buddy, she looks

1563
01:28:19,240 --> 01:28:21,920
Speaker 1: the part two if you know what I mean.

1564
01:28:22,560 --> 01:28:24,120
Speaker 2: Check this out.

1565
01:28:24,560 --> 01:28:29,120
Speaker 1: On January twenty ninth, Today twenty twenty six, Seattle Mayor

1566
01:28:29,240 --> 01:28:35,200
Speaker 1: Katie Wilson announced the new directive requiring the Seattle Police

1567
01:28:35,200 --> 01:28:42,040
Speaker 1: Department officers to investigate, verify, and document all reported federal

1568
01:28:42,040 --> 01:28:46,519
Speaker 1: immigration enforcement activity. Okay, and then they come out with

1569
01:28:46,560 --> 01:28:51,759
Speaker 1: some protocols. Listen to this. I have never seen this before.

1570
01:28:51,960 --> 01:28:57,280
Speaker 1: I've never heard it suggested before. They are required under

1571
01:28:57,400 --> 01:29:01,960
Speaker 1: her rules to film the activity.

1572
01:29:03,320 --> 01:29:04,320
Speaker 2: And I'm reading.

1573
01:29:04,000 --> 01:29:09,880
Speaker 1: From her from the directive, film the activity, use in

1574
01:29:10,080 --> 01:29:16,200
Speaker 1: car and body worn cameras to record federal operations. So

1575
01:29:16,560 --> 01:29:19,880
Speaker 1: what you got here, this is what it's come down to.

1576
01:29:21,080 --> 01:29:26,160
Speaker 1: You got cop filming cop, because whether they like it

1577
01:29:26,280 --> 01:29:32,360
Speaker 1: or not, these ICE agents are law enforcement officers, federal

1578
01:29:32,600 --> 01:29:39,599
Speaker 1: law enforcement officers. Their crime, their crime. According to people

1579
01:29:39,760 --> 01:29:43,280
Speaker 1: like this, I don't I'm not going to say what

1580
01:29:43,320 --> 01:29:47,559
Speaker 1: I want to say. People like this don't, Well, they understand,

1581
01:29:47,560 --> 01:29:51,799
Speaker 1: they just don't care. The ICE officers are doing their job.

1582
01:29:52,400 --> 01:29:57,280
Speaker 1: They are sworn to enforce the immigration laws. You know,

1583
01:29:58,280 --> 01:30:03,000
Speaker 1: unlike the agitators. They can't pick and choose what laws

1584
01:30:03,120 --> 01:30:06,519
Speaker 1: they like and don't like. They're sworn to enforce the

1585
01:30:06,560 --> 01:30:12,839
Speaker 1: federal immigration laws. That's all they are doing. This idiot

1586
01:30:13,640 --> 01:30:21,439
Speaker 1: wants her police officers to film ice officers. It's reprehensible,

1587
01:30:22,280 --> 01:30:27,360
Speaker 1: it's ridiculous. This woman is worse than the dude in

1588
01:30:27,439 --> 01:30:33,439
Speaker 1: New York City. Mandami film the activity, great going on,

1589
01:30:34,439 --> 01:30:39,599
Speaker 1: verify identity, validate the status of a parent federal agents

1590
01:30:39,920 --> 01:30:45,120
Speaker 1: by requesting official identification. So again, you know, I was

1591
01:30:45,160 --> 01:30:48,160
Speaker 1: a cop a million years ago, but been involved in

1592
01:30:48,240 --> 01:30:52,280
Speaker 1: law enforcement, prosecutor, and other jobs for a long time.

1593
01:30:54,720 --> 01:30:59,559
Speaker 1: Verify identity, validate the status of a parent federal agents

1594
01:31:00,000 --> 01:31:07,479
Speaker 1: if I requesting official identification. Unbelievable. Unbelievable, it goes on

1595
01:31:09,320 --> 01:31:14,439
Speaker 1: verify identity. Oh wamen, I'm sorry. Gather evidence, secure any

1596
01:31:14,560 --> 01:31:22,240
Speaker 1: scenes where potentially unlawful acts, where potentially unlawful acts occur,

1597
01:31:22,680 --> 01:31:26,960
Speaker 1: to collect evidence for future prosecutions. The more I read

1598
01:31:27,000 --> 01:31:31,280
Speaker 1: this thing, the more pod I'm getting this is.

1599
01:31:32,400 --> 01:31:36,040
Speaker 2: You can't have that. You just can't have it.

1600
01:31:37,120 --> 01:31:39,680
Speaker 1: You know, well when the Left, when they get a

1601
01:31:39,720 --> 01:31:43,200
Speaker 1: message to kind of ramp it down a little bit,

1602
01:31:43,920 --> 01:31:46,880
Speaker 1: they ramp it up. I know this is Seattle and

1603
01:31:47,000 --> 01:31:51,479
Speaker 1: not Minneapolis, but this is just it's incredible. All right,

1604
01:31:51,600 --> 01:31:54,320
Speaker 1: limit resources. I'm reading this stuff for the first time,

1605
01:31:54,439 --> 01:31:56,280
Speaker 1: So limit resources.

1606
01:31:56,520 --> 01:31:58,679
Speaker 2: The mayor also issued an.

1607
01:31:58,520 --> 01:32:04,280
Speaker 1: Executive order prohibiting federal agents from using city owned properties

1608
01:32:04,320 --> 01:32:08,920
Speaker 1: such as parking lots, parks and parking lots for staging operations.

1609
01:32:09,439 --> 01:32:13,880
Speaker 2: Great, so, I mean you take that to its literal end.

1610
01:32:14,680 --> 01:32:18,240
Speaker 1: If somebody's chasing a cop or shooting out a cop

1611
01:32:18,600 --> 01:32:22,599
Speaker 1: according to this idiot mayor or not an ice officer,

1612
01:32:22,920 --> 01:32:26,240
Speaker 1: that ice officer, if that ice officer is in trouble,

1613
01:32:26,960 --> 01:32:27,800
Speaker 1: not allowed to.

1614
01:32:27,720 --> 01:32:30,800
Speaker 2: Go on to City of Seattle property.

1615
01:32:32,320 --> 01:32:36,759
Speaker 1: You know, it's so much lately, and especially in this job,

1616
01:32:37,320 --> 01:32:43,920
Speaker 1: which I love, I find myself asking myself what's next.

1617
01:32:45,880 --> 01:32:57,280
Speaker 1: It's cops filming cops, cops documenting other cops. It's bizarre,

1618
01:32:57,680 --> 01:33:02,320
Speaker 1: it's orwellian. But that's what you get with the left today. Hey,

1619
01:33:02,320 --> 01:33:04,080
Speaker 1: you know what, I got to take a short break

1620
01:33:04,200 --> 01:33:05,479
Speaker 1: or I'm going to have a heart attack.

1621
01:33:05,520 --> 01:33:07,920
Speaker 2: Here. We'll take a short break and come back.

1622
01:33:08,040 --> 01:33:11,920
Speaker 1: Mike Allen in for Dan Carroll, seven hundred WLW The

1623
01:33:11,960 --> 01:33:14,960
Speaker 1: Mike Allen In for Dan Carroll on a Thursday night.

1624
01:33:15,960 --> 01:33:16,960
Speaker 2: I'll be back.

1625
01:33:16,920 --> 01:33:21,519
Speaker 1: Saturday from nine to noon for Saturday midday. I can

1626
01:33:21,720 --> 01:33:25,679
Speaker 1: guarantee you we are going to be talking about this topic.

1627
01:33:26,920 --> 01:33:32,600
Speaker 1: Just a little bit more on Seattle Mayor Katie Wilson

1628
01:33:33,240 --> 01:33:34,680
Speaker 1: and her new directives.

1629
01:33:34,720 --> 01:33:36,360
Speaker 2: I think they just came out tonight.

1630
01:33:36,880 --> 01:33:46,519
Speaker 1: We requiring Seattle cops to investigate, verify, and document all

1631
01:33:46,640 --> 01:33:52,200
Speaker 1: reported federal immigration enforcement activity. I already told you they

1632
01:33:52,200 --> 01:33:56,919
Speaker 1: are now hereby ordered by the communist mayor to film

1633
01:33:57,080 --> 01:34:01,080
Speaker 1: the activity using their in car and body warn cameras.

1634
01:34:01,680 --> 01:34:05,519
Speaker 1: They need to verify the identity of these federal agents.

1635
01:34:06,160 --> 01:34:10,280
Speaker 1: And here's one that I didn't get last time. Gather evidence,

1636
01:34:11,160 --> 01:34:16,679
Speaker 1: secure any scenes where potentially unlawful acts occur, to collect

1637
01:34:16,800 --> 01:34:24,559
Speaker 1: evidence for future prosecutions. God, unbelievable, she says. Context and

1638
01:34:24,640 --> 01:34:29,280
Speaker 1: motivation here safety concerns. Mayor Wilson stated these measures are

1639
01:34:29,320 --> 01:34:34,120
Speaker 1: meant to protect residents and address quote concern and anxiety

1640
01:34:34,520 --> 01:34:40,120
Speaker 1: close quote following a surge in federal enforcement actions. You know,

1641
01:34:41,360 --> 01:34:46,240
Speaker 1: I wonder if she is concerned at all about the

1642
01:34:46,280 --> 01:34:52,360
Speaker 1: safety of the residents of her city, not yet residents

1643
01:34:52,400 --> 01:34:52,880
Speaker 1: of her city.

1644
01:34:53,200 --> 01:34:55,360
Speaker 2: How about citizens?

1645
01:34:56,880 --> 01:34:59,960
Speaker 1: Illegal aliens, As much as they don't like it the left,

1646
01:35:00,360 --> 01:35:04,760
Speaker 1: they're not citizens. I wonder if she's concerned for a

1647
01:35:04,800 --> 01:35:09,280
Speaker 1: citizen who's killed or maimed by an illegal alien who

1648
01:35:09,400 --> 01:35:14,280
Speaker 1: has a record of violence. What about that person? What

1649
01:35:14,479 --> 01:35:19,839
Speaker 1: about that person? Do you care at all about that person? Again,

1650
01:35:20,439 --> 01:35:24,120
Speaker 1: these ice agents are doing the job they were hired

1651
01:35:24,160 --> 01:35:28,680
Speaker 1: to do. They're doing the job, or they're more accurately,

1652
01:35:29,040 --> 01:35:33,639
Speaker 1: they are enforcing the laws, the federal laws that they are.

1653
01:35:34,080 --> 01:35:35,759
Speaker 2: Sworn to enforce.

1654
01:35:36,760 --> 01:35:39,080
Speaker 1: You know, there's a little thing in this country that

1655
01:35:39,280 --> 01:35:42,400
Speaker 1: these on the left seem to forget about. And it's

1656
01:35:42,439 --> 01:35:45,160
Speaker 1: not complicated and you don't have to be a lawyer

1657
01:35:45,200 --> 01:35:49,200
Speaker 1: to figure it out. It's called the Supremacy Clause of

1658
01:35:49,240 --> 01:35:56,360
Speaker 1: the Constitution, which basically states that federal law trump's state law,

1659
01:35:57,360 --> 01:36:01,680
Speaker 1: and federal actions trump state acts. Since in a situation

1660
01:36:01,920 --> 01:36:05,200
Speaker 1: like this, you know, I don't know why that has

1661
01:36:05,320 --> 01:36:10,759
Speaker 1: not been used more well going on with her honor

1662
01:36:10,800 --> 01:36:14,200
Speaker 1: who I'm sure when she goes to her local Starbucks

1663
01:36:14,200 --> 01:36:19,120
Speaker 1: tomorrow morning and gets her mocha frapacucci, she'll be the

1664
01:36:19,200 --> 01:36:23,120
Speaker 1: pride of everyone in that Starbucks for what she's doing.

1665
01:36:23,520 --> 01:36:25,759
Speaker 2: You know, they showed her before and again.

1666
01:36:25,800 --> 01:36:28,720
Speaker 1: I've got the sound turned down, but I found this

1667
01:36:28,800 --> 01:36:30,960
Speaker 1: on the internet.

1668
01:36:31,439 --> 01:36:32,320
Speaker 2: She hits hand, this.

1669
01:36:32,640 --> 01:36:36,160
Speaker 1: Big grin on her face like she's so happy about

1670
01:36:36,320 --> 01:36:39,840
Speaker 1: sticking it to the cops, and she goes on to

1671
01:36:39,920 --> 01:36:42,000
Speaker 1: say that the city is also.

1672
01:36:42,280 --> 01:36:45,160
Speaker 2: Launching a hotline to connect.

1673
01:36:44,800 --> 01:36:52,240
Speaker 1: Residents with resources and provide real time information on enforcement activities. So,

1674
01:36:52,520 --> 01:36:57,000
Speaker 1: you know, here you have it, cop ratting on cop.

1675
01:36:58,000 --> 01:37:03,240
Speaker 1: What the hell? What is this country coming to? These

1676
01:37:03,439 --> 01:37:05,560
Speaker 1: people have to be stopped.

1677
01:37:06,360 --> 01:37:08,960
Speaker 2: And I don't know. I'm not gonna call him Nazis.

1678
01:37:09,240 --> 01:37:13,599
Speaker 1: I'm not going to call her hit lorette because that's

1679
01:37:13,640 --> 01:37:18,880
Speaker 1: not right. But these people are out of control. Enough

1680
01:37:19,120 --> 01:37:23,920
Speaker 1: is enough with these people, you know. And the police chief,

1681
01:37:24,120 --> 01:37:27,120
Speaker 1: that police chief, I forget what his name is. He

1682
01:37:27,439 --> 01:37:31,960
Speaker 1: is a I'm talking about the not Seattle police chief,

1683
01:37:32,240 --> 01:37:34,360
Speaker 1: but the Minneapolis police chief.

1684
01:37:35,080 --> 01:37:37,639
Speaker 2: He is a whimp.

1685
01:37:38,560 --> 01:37:40,600
Speaker 1: There's a word that begins with a P that I

1686
01:37:40,640 --> 01:37:45,559
Speaker 1: wanted to use. I'm not going to. I mean, that's why,

1687
01:37:45,760 --> 01:37:50,960
Speaker 1: that's why these the higher ranking officers should have civil

1688
01:37:51,000 --> 01:37:51,919
Speaker 1: service protection.

1689
01:37:52,479 --> 01:37:53,559
Speaker 2: I mean the cops do.

1690
01:37:53,720 --> 01:37:58,639
Speaker 1: And again, Minneapolis, Minnesota is not Cincinnati, Ohio.

1691
01:37:59,160 --> 01:37:59,760
Speaker 2: I get that.

1692
01:38:00,439 --> 01:38:02,880
Speaker 1: And I have been told by cops that would be

1693
01:38:02,880 --> 01:38:07,120
Speaker 1: in a position to know local cops that in Minneapolis,

1694
01:38:07,160 --> 01:38:12,120
Speaker 1: at least, these line officers are not happy at all

1695
01:38:12,600 --> 01:38:18,479
Speaker 1: about this nonsense, you know, ratting on ice agents, watching

1696
01:38:18,600 --> 01:38:22,919
Speaker 1: ice agents, now filming ice agents.

1697
01:38:23,240 --> 01:38:26,800
Speaker 2: The line men and women, they don't like this at all.

1698
01:38:26,880 --> 01:38:29,840
Speaker 1: But again, you know, you got a family to feed,

1699
01:38:30,200 --> 01:38:31,479
Speaker 1: you got bills to pay.

1700
01:38:31,960 --> 01:38:33,040
Speaker 2: You'll do what you can do.

1701
01:38:33,120 --> 01:38:37,800
Speaker 1: And in Minneapolis at least, they're way down on police officers.

1702
01:38:37,840 --> 01:38:38,720
Speaker 2: But guess what.

1703
01:38:40,000 --> 01:38:43,400
Speaker 1: They can't find people that want to be a Minneapolis

1704
01:38:43,400 --> 01:38:48,680
Speaker 1: police officer. You know, that's a problem all across the

1705
01:38:48,720 --> 01:38:52,320
Speaker 1: board in the city of Cincinnati too. I talked to

1706
01:38:52,360 --> 01:38:56,280
Speaker 1: the FOP president Ken Kober about a month or so ago,

1707
01:38:56,479 --> 01:39:00,519
Speaker 1: and he said, they have openings, they have money. I

1708
01:39:00,520 --> 01:39:02,680
Speaker 1: think he said they wanted to put a class of

1709
01:39:02,800 --> 01:39:06,600
Speaker 1: thirty on, but at least at that time.

1710
01:39:06,840 --> 01:39:10,080
Speaker 2: They couldn't fill it. And I'll tell you something.

1711
01:39:10,880 --> 01:39:13,600
Speaker 1: Back in the seventies, when I was testing to be

1712
01:39:13,640 --> 01:39:16,439
Speaker 1: a Cincinnati police officer, we had to do it twice

1713
01:39:16,520 --> 01:39:18,599
Speaker 1: because we got laid off, and when we came back

1714
01:39:18,840 --> 01:39:22,439
Speaker 1: we had to go through the process again. There were

1715
01:39:22,800 --> 01:39:27,759
Speaker 1: thousands of people down at convention Center in that big

1716
01:39:27,840 --> 01:39:33,160
Speaker 1: hall taking the test, thousands of people. Everybody wanted to

1717
01:39:33,280 --> 01:39:35,519
Speaker 1: not everybody, but there were a hell of a lot

1718
01:39:35,600 --> 01:39:37,840
Speaker 1: of people that wanted to be a cop.

1719
01:39:38,439 --> 01:39:40,320
Speaker 2: No more, no more.

1720
01:39:40,600 --> 01:39:44,680
Speaker 1: If I were transported back in time to when I

1721
01:39:44,760 --> 01:39:47,360
Speaker 1: went through all the testing and stuff to be a cop.

1722
01:39:47,840 --> 01:39:50,719
Speaker 2: I wouldn't do it. I wouldn't want the job now,

1723
01:39:51,360 --> 01:39:51,559
Speaker 2: you know.

1724
01:39:52,320 --> 01:39:54,760
Speaker 1: And I know this Seattle thing is I guess you

1725
01:39:54,760 --> 01:39:59,720
Speaker 1: could say it's somewhat of an extreme measure. But this

1726
01:39:59,800 --> 01:40:03,080
Speaker 1: is what it's coming to. You know, you watch by

1727
01:40:03,120 --> 01:40:07,160
Speaker 1: the end of next week. I'll bet anybody that other cities,

1728
01:40:07,280 --> 01:40:12,000
Speaker 1: or at least one other city follows this communist mayor

1729
01:40:12,640 --> 01:40:17,719
Speaker 1: in sticking it to the cops like this. Apparently the

1730
01:40:17,760 --> 01:40:21,679
Speaker 1: police chief is in Seattle's a guy named Sean Barnes.

1731
01:40:24,479 --> 01:40:28,479
Speaker 1: Somebody writes, while Seattle is a welcoming this is from

1732
01:40:28,520 --> 01:40:33,080
Speaker 1: AI welcoming city quote unquote that prohibits local police from

1733
01:40:33,120 --> 01:40:35,480
Speaker 1: participating in immigration enforcement.

1734
01:40:36,200 --> 01:40:38,439
Speaker 2: Chief Sean Barnes.

1735
01:40:38,520 --> 01:40:44,280
Speaker 1: Noted that SPD Seattle Police Department has no direct authority

1736
01:40:44,720 --> 01:40:51,200
Speaker 1: over federal agents, but will document their actions when notified.

1737
01:40:52,080 --> 01:40:53,680
Speaker 2: Again, cop.

1738
01:40:55,000 --> 01:40:59,360
Speaker 1: Basically riting out cop for doing for the cop doing

1739
01:40:59,400 --> 01:41:02,320
Speaker 1: their job. This is a police chief, you know, a

1740
01:41:02,400 --> 01:41:05,840
Speaker 1: police chief with any stones would say, no.

1741
01:41:05,920 --> 01:41:09,320
Speaker 2: Way, Mayor, I'm not gonna do that. You can fire me.

1742
01:41:10,240 --> 01:41:14,400
Speaker 2: You can fire me for that. I mean, I don't know.

1743
01:41:14,720 --> 01:41:15,320
Speaker 2: It's just.

1744
01:41:17,880 --> 01:41:21,759
Speaker 1: Again, I'm waiting for the next shoe to drop. These people.

1745
01:41:22,120 --> 01:41:26,720
Speaker 1: You know, we can't be we can't be molly coddling them. Hey,

1746
01:41:26,720 --> 01:41:28,519
Speaker 1: I got a call. I got a couple of minutes left.

1747
01:41:28,840 --> 01:41:30,160
Speaker 1: Let's talk to Ken.

1748
01:41:31,520 --> 01:41:31,760
Speaker 2: Hello.

1749
01:41:32,040 --> 01:41:37,920
Speaker 11: Ken, Yeah, Mike, Oh yeah, definitely. And now listening to

1750
01:41:37,960 --> 01:41:40,559
Speaker 11: what you were saying, you're right on point. Also, I'd

1751
01:41:40,600 --> 01:41:42,920
Speaker 11: like to listen to Day and what Alex brought up to.

1752
01:41:43,120 --> 01:41:46,200
Speaker 11: All of this is based on hate, and so I'm

1753
01:41:46,200 --> 01:41:49,200
Speaker 11: just saying that it is. And so I'm just saying

1754
01:41:49,280 --> 01:41:51,160
Speaker 11: all the good people would just do what we're supposed

1755
01:41:51,200 --> 01:41:54,800
Speaker 11: to do, pray, put God first, work together, and we

1756
01:41:54,840 --> 01:41:57,840
Speaker 11: will defeat this. But that's what it is. It's all

1757
01:41:57,920 --> 01:42:00,559
Speaker 11: based that's the common threat. It's based on hate. But

1758
01:42:00,640 --> 01:42:03,519
Speaker 11: in the end, gods of love, Conkers hate Ken. I

1759
01:42:03,560 --> 01:42:04,559
Speaker 11: just want to put that up there.

1760
01:42:04,680 --> 01:42:07,000
Speaker 1: I appreciate that, and I gotta let you go. I'll

1761
01:42:07,000 --> 01:42:10,559
Speaker 1: tell you what I haven't got. This is my only

1762
01:42:10,600 --> 01:42:12,840
Speaker 1: call tonight, but it was the best call of the

1763
01:42:12,920 --> 01:42:17,280
Speaker 1: night and it's just something. It's so appropriate, and I

1764
01:42:17,320 --> 01:42:21,800
Speaker 1: appreciate him saying that and basically closing out the show

1765
01:42:21,880 --> 01:42:25,599
Speaker 1: with that. If there were more people, I Ken, maybe

1766
01:42:25,640 --> 01:42:28,439
Speaker 1: this place would be a better place.

1767
01:42:28,960 --> 01:42:29,639
Speaker 2: I suppose.

1768
01:42:30,840 --> 01:42:34,080
Speaker 1: I don't know, you know, I'll wake up tomorrow and

1769
01:42:34,120 --> 01:42:38,679
Speaker 1: then probably see something else. But a situation where cops

1770
01:42:38,760 --> 01:42:41,960
Speaker 1: are policing other cops.

1771
01:42:42,360 --> 01:42:46,679
Speaker 2: It's untenable. It just won't work. It won't last.

1772
01:42:47,320 --> 01:42:52,519
Speaker 1: It's just despicable and somebody needs to find a way

1773
01:42:52,560 --> 01:42:55,439
Speaker 1: to get that mayor out of office. But I ain't

1774
01:42:55,479 --> 01:42:58,080
Speaker 1: holding my breath. You notice I didn't call her a

1775
01:42:58,160 --> 01:43:01,120
Speaker 1: Nazi because I don't know. I don't think she is

1776
01:43:01,600 --> 01:43:04,240
Speaker 1: from what she's a comedy, but she's not a Nazi. Hey,

1777
01:43:04,280 --> 01:43:07,200
Speaker 1: I'm out of here. Mike Allen in for Dan Carroll,

1778
01:43:07,280 --> 01:43:11,599
Speaker 1: seven hundred WLW. Be back nine o'clock Saturday for Saturday

1779
01:43:11,640 --> 01:43:12,040
Speaker 1: Midday