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Speaker 1: Don't want to be an American idio.

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Speaker 2: There's Radio seven hundred WLW Mike Allen in for Slowne today,

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Speaker 2: be in for Willie tomorrow. On today being Thanksgiving Eve,

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Speaker 2: I'm sure everybody's thinking about either getting out of town

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Speaker 2: for a little bit or just hanging around the house

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Speaker 2: with friends, stuffing yourself. That will be my choice this year.

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Speaker 2: It's a good holiday. I like it. It comes on

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Speaker 2: a Thursday, and almost everybody takes Friday off, but not me,

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Speaker 2: not this year at any rate. A lot going on

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Speaker 2: with respect to Thanksgiving. But the one thing that I

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Speaker 2: wanted to talk a little bit about this morning is

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Speaker 2: according to the President, Thanksgiving is going to be a

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Speaker 2: lot cheaper this year. This again is from the White House,

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Speaker 2: so you know, I mean, I think there's stuff accurate,

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Speaker 2: but maybe puffing it up a little bit. Retailers offering

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Speaker 2: their cheapest Thanksgiving meals in years. Walmart's Thanksgiving meal cost

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Speaker 2: twenty five percent less than it last year, with its

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Speaker 2: lowest turkey price since twenty nineteen.

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Speaker 1: The meal feeds ten people, which works out to just

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Speaker 1: under four bucks a person.

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Speaker 2: Now, I've never priced anything like that, but that surprises

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Speaker 2: me that I thought it would be much even of

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Speaker 2: inflation aside, much more than that. But this thing from

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Speaker 2: Walmart's the meal feeds ten people, which works out to

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Speaker 2: just under four bucks per person. Leady l I d

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Speaker 2: Ella little. I guess that's a grocery chain obviously. Not here,

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Speaker 2: their Thanksgiving meal costs ten dollars less than last year.

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Speaker 2: In all these their meal costs seven dollars less than

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Speaker 2: last year. Lowest priced since twenty nineteen, Target, or Tarja

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Speaker 2: as we call it on the West Side.

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Speaker 1: That's it.

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Speaker 2: It's lowest price ever. As well, it looks like it's

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Speaker 2: the lowest price for turkey in over fifteen years, at

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Speaker 2: least according to the White House. So I mean some

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Speaker 2: good news there. And I'll tell you don't need a

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Speaker 2: newspaper or a news story to know stuff is expensive, man.

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Speaker 2: I mean, things are getting cheaper, but it's really really expensive.

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Speaker 2: I mean there's some times when I go to buy stuff,

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Speaker 2: I can't believe how much it is. But under President Trump,

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Speaker 2: it's trending down somewhat. So I guess that's a good

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Speaker 2: news in that. Let's see, Yeah, the Thanksgiving me twenty

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Speaker 2: five percent less than last year. Again, I'd love to

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Speaker 2: know what's in that box. You know what I've done

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Speaker 2: a couple of times. I haven't done it in about

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Speaker 2: three or four years, is fry my turkey. Went out

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Speaker 2: and got one of those that looks like a small

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Speaker 2: garbage can thing. You fill it up with vegetable oil.

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Speaker 2: You've got to be really careful and you got to

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Speaker 2: watch it put it in there. My recollection is, I

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Speaker 2: don't know, it's about forty to fifty minutes or something

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Speaker 2: like that. If you do it right, which I was

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Speaker 2: fortunate enough to do when I used to do it,

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Speaker 2: it is unbelievable and I want to do it again someday. Anyway,

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Speaker 2: if you've had an experience with that, I'd like to

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Speaker 2: hear from you. Seven four nine, seven thousand, eight hundred

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Speaker 2: the big one are the numbers going to have open

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Speaker 2: lines from nine thirty to ten. So if you want

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Speaker 2: to weigh in on Thanksgiving or anything else for that matter,

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Speaker 2: you can do it. Then some interesting and I know

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Speaker 2: everybody does this, but I don't know. I think people

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Speaker 2: enjoy it. Some interesting facts about Thanksgiving and sing in

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Speaker 2: a little bit the Native American view of it. It's

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Speaker 2: a national holiday and this is from AI. I'll tell

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Speaker 2: you what.

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Speaker 1: I use AI a lot. I've found it to be accurate.

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Speaker 2: They always give both sides of the coin, which you

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Speaker 2: can't ask for more than that.

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Speaker 1: But anyway, according to.

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Speaker 2: AI, Thanksgiving is a national holiday that some Native Americans

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Speaker 2: view as a national day of mourning because of its

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Speaker 2: origins and the historical oppression of Indigenous peoples, while Indigenous

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Speaker 2: People's Day is a holiday that specifically celebrates Native American

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Speaker 2: and other indigenous cultures and histories. You know, I don't

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Speaker 2: have any problem with an Indigenous People Day. As a

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Speaker 2: matter of fact, I think we probably ought to have one,

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Speaker 2: but I think we ought to separate it from Thanksgiving.

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Speaker 2: Thanksgiving is what it is and what it's been for

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Speaker 2: I think goes back to eighteen sixty five.

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Speaker 1: I mean, but.

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Speaker 2: I got to be care for what I say here,

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Speaker 2: but I'm gonna say it. If ever there was a

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Speaker 2: group of people in this country that were screwed, it's

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Speaker 2: Native Americans. I mean, there's just no way around it.

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Speaker 2: And you know, through the years, I believe there's been

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Speaker 2: reparations to them and government support for a lot of things.

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Speaker 2: But what an incredibly proud people. And I don't know,

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Speaker 2: I mean, maybe I think they've done this before, likeness

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Speaker 2: on a coin or something like that. But again I

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Speaker 2: say keep just keep it separate. Anyway, Thanksgiving with free

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Speaker 2: from the perspective of the Native American some of them,

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Speaker 2: not all, not all. I did my homework on this

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Speaker 2: referred to it as a national day of mourning. For

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Speaker 2: many Indigenous people, Thanksgiving is a day to commemorate, let's

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Speaker 2: see the genocide, displacement, and cultural erasure of their ancestors.

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Speaker 2: This is why some refer to it as the national

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Speaker 2: Day of Morning or un Thanksgiving, and they hold protests

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Speaker 2: and ceremonies. Well, I tell you something, AI, I've never

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Speaker 2: seen that. I've never seen a protest, and I watched

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Speaker 2: stuff pretty carefully from Native American people or anybody else

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Speaker 2: with respect to Thanksgiving.

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Speaker 1: I mean, it's it's just not there. It's just not

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Speaker 1: there anyway.

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Speaker 2: Traditional narrative, I mean, the one that we have been

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Speaker 2: dealing with and believing for as long as I've been alive,

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Speaker 2: and well before that mainstream Thanksgiving story portrays a harmonious

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Speaker 2: harvest feast in sixteen twenty one shared by English pilgrims.

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Speaker 1: And the wamp I want to get this right.

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Speaker 2: Wamp A no ogg try tribe. Here's the story, because

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Speaker 2: I've read a lot about this just in the last

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Speaker 2: couple of days. Apparently the and I just hope I

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Speaker 2: get this right. The Wampanoa tribe heard they heard some

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Speaker 2: gunshots coming from a settlement where some of the settlers were.

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Speaker 2: And believe it or not, this Indian tribe or Native

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Speaker 2: American tribe whatever had an agreement, a mutual defense agreement

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Speaker 2: with the settlers, and so they rode in in defense

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Speaker 2: of the settlers. Well, anyway, whatever happened happened, and that's

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Speaker 2: when Thanksgiving feast happened. So I don't know, it's just again,

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Speaker 2: I don't think we should screw with Thanksgiving being when

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Speaker 2: it is. But I have no problem with recognizing Native

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Speaker 2: Americans in this country. Now, I've done a lot of

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Speaker 2: research on this, and I did try to find a poll,

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Speaker 2: and I found one, but it was really old, a

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Speaker 2: poll that talks about whether American Indians prefer being called

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Speaker 2: American Indians or Indigenous people. It was about fifty to fifty.

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Speaker 2: But you know, with respect to the you know, like

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Speaker 2: football teams and monuments and things like that, the numbers

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Speaker 2: are pretty overwhelming. Where Native American people could care less,

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Speaker 2: and some of them actually support it as a tribute,

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Speaker 2: and I don't know, I think that's maybe how people

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Speaker 2: should look at it. Well, let's do this. Let's take

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Speaker 2: a short break. If you want to call, seven four nine,

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Speaker 2: seven thousand, one, eight hundred the big one are the numbers.

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Speaker 2: We'll get you on Mike Allen in for Slowey seven

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Speaker 2: hundred WLW, NWNE twenty one News Radio, seven hundred WLW,

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Speaker 2: Mike Allen in for Sloaney today and I'll be in

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Speaker 2: for Willly noon to three tomorrow. Yeah, I just mentioned

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Speaker 2: the Bengals game Thursday, Thursday at It's a night game

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Speaker 2: eight on NBC. Bengals Ravens. Here's the thing, and I'm

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Speaker 2: going to get to the calls here in just a second.

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Speaker 2: Maybe some of you had helped me with this too.

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Speaker 2: Seven four nine, seven eight hundred, The big one are

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Speaker 2: the numbers. Okay, Joe Burrow apparently is going to start.

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Speaker 2: He wants to start. I guess he's chomping at the

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Speaker 2: bit from what I've heard and what I've read. But

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Speaker 2: I mean, I don't know. I guess my thinking is

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Speaker 2: this the season's gone. I mean, come on, there's no

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Speaker 2: way they're going to get into the playoffs. They're just

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Speaker 2: not going to do it. You know, a Joe Flacco

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Speaker 2: has done one hell of a job. I mean, there's

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Speaker 2: just no way around that. I guess, why risk it?

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Speaker 2: Why risk it? I mean, you know, the Bengals for

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Speaker 2: better or worse, and I don't think it was for

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Speaker 2: the better. Pretty much. The team is Joe Burrow and

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Speaker 2: some receivers and that's it. They need to focus on

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Speaker 2: the defense. But I don't know i'd be interested in

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Speaker 2: what you think about that. I love watching Joe Burrow play,

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Speaker 2: but I also like watching Flacco play as well. So

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Speaker 2: we'll see what happens. But on the way in this

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Speaker 2: morning the news reports, words sounded that pretty definite. Okay,

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Speaker 2: as promised, let's go to the calls. Randy, Hello, Randy,

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Speaker 2: Good morning, Mike.

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Speaker 3: How you doing.

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Speaker 1: I'm good?

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Speaker 3: Happy Thanksgiving me, Happy Thanksgiving to you. Also, I just

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Speaker 3: wanted to comments that you had the reason that Walmart

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Speaker 3: Thanksgiving dinners or lowers because it's a lost leader, right,

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Speaker 3: we believe all this scrap coming out of the White

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Speaker 3: House instead of believe the companies that measure statistics and

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Speaker 3: do this on a full time Pagen start out.

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Speaker 1: Hey, hey, Randy, are you out in the wind there? Oh?

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Speaker 1: There you are?

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Speaker 2: Yeh, I am Could you just repeat your last sentence.

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Speaker 2: I'm sorry, I don't think people got it.

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Speaker 3: Yeah. I was just saying that the reason that the

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Speaker 3: prices are cheap at Walmart because it's a lost leader right.

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Speaker 1: To get people into the store.

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Speaker 3: Right. Yeah, I think we should say that the White

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Speaker 3: House is coming up with something that is really meaningful

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Speaker 3: and it's correct. Well, let me ask like everything else

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Speaker 3: that's comes out of the lighthouse.

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Speaker 1: Right, well, well, let me ask you something.

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Speaker 2: If the situation were different, uh, and things were up,

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Speaker 2: of course, like they were under Joe Biden. I mean,

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Speaker 2: would you be saying, you know that, Hey, wait a minute,

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Speaker 2: you know it's not that bad and ain't Biden's fault.

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Speaker 2: I do understand what you're saying. And there's a lot

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Speaker 2: of puffery in this stuff, and I take that into consideration.

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Speaker 2: But what the hell? I mean, what's inflation at three

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Speaker 2: and a half percent? It got all the way up

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Speaker 2: to I think nine under Biden? And you know what

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Speaker 2: the thing of it is from. And I don't know

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Speaker 2: much about economics at all, but I think what I

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Speaker 2: do know is the president doesn't have a hell of

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Speaker 2: a lot to do with it. And if the economy

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Speaker 2: is good, the president reaps the benefits. If it's bad,

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Speaker 2: the president takes the hits. I don't know, what do

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Speaker 2: you think about that?

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Speaker 3: Yeah, I would agree with that wholeheartedly. I think the

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Speaker 3: reason that inflation was so high in the Biden was

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Speaker 3: because of COVID. People blamed Biden for inflation, but every

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Speaker 3: industrialized evopnation in the world was having record inflation, but

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Speaker 3: yet we blamed Biden for it. Well, but UK was

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Speaker 3: having inflation, China, everybody.

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Speaker 2: I don't know that they had it as bad as us.

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Speaker 2: But you're right, Well, if you want to point the

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Speaker 2: finger of Biden, you're right. I mean, he puts so

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Speaker 2: much money. He just pumped so much money into the economy. Uh,

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Speaker 2: you know, the COVID packages and things like that. And

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Speaker 2: you know, I support people. I mean, I'm a problem

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Speaker 2: at all with him helping out, but all that dough

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Speaker 2: into the system is one of the things that many

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Speaker 2: people say caused it. But at any rate, I sure

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Speaker 2: hope the damn things going down now. You do have

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Speaker 2: to admit gas prices are down substantially.

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Speaker 3: Well, That's another thing when you say that, you know,

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Speaker 3: we blame the president for the economic situation when they're

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Speaker 3: not responsible for it. It's the same thing with gas prices.

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Speaker 3: You know, we had the highest gas prices. People think

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Speaker 3: we had the highest gas prices under Biden. And if

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Speaker 3: you applied just a two percent inflation rate to what

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Speaker 3: we had in two thousand and eight under George Bush,

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Speaker 3: the average gas price would have been like five dollars

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Speaker 3: a gallon. And when people blamed George Bush in two

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Speaker 3: thousand and eight for the high gas prices, all he

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Speaker 3: did is he shrugged his shoulders and just I don't

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Speaker 3: control the gas prices. And that was the end of it.

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Speaker 3: You know, under Biden we got this whole thing about

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Speaker 3: gas prices. And another reason gas prices spiked so much

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Speaker 3: under Biden.

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Speaker 2: It's just because reality that the president takes the blame

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Speaker 2: or gets the credit.

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Speaker 1: Hey, listen, I appreciate the call.

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Speaker 4: Serious, seriously, Okay, than thank.

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Speaker 2: You very much. You know, I like it when people

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Speaker 2: call and disagree with me. I don't get a lot

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Speaker 2: of that on Saturdays, but I try. Let's talk to

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Speaker 2: Rob in Lebanon. Hey, good morning, Rob.

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Speaker 5: Good morning, Happy Thanksgiving.

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Speaker 4: Good to talk to you.

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Speaker 1: We doo.

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Speaker 5: In the early eighties, I attended Colorado State and on

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Speaker 5: a work study program. So part of the deal was

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Speaker 5: I had to do work study jobs during the summers,

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Speaker 5: and they were on Indian reservations in eastern Colorado, and

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Speaker 5: the land the reservations were on were rocky, difficult to

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Speaker 5: grow crops. They were the most respectful people I'd ever met.

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Speaker 5: They needed help to get groceries, they needed help to

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Speaker 5: clear fields, while there were thousands of acres around the

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Speaker 5: reservations that were are very easy to grow crops on.

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Speaker 5: So I respect them, and I feel like our country

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Speaker 5: could have treated them a lot better than we did.

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Speaker 2: I couldn't agree with you more, you know, And they do.

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Speaker 2: They have the casinos now, but that's not the be

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Speaker 2: all to end all. I do think they get a stipend.

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Speaker 2: Do you know what tribe you were just talking about?

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Speaker 2: If you don't, no problem. I was just curious.

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Speaker 4: There were three different ones.

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Speaker 5: One was Cherokee, and to be honest, I forget the

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Speaker 5: other two. But they living conditions they lived under were

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Speaker 5: not good, but they did the best they could and

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Speaker 5: they weren't negative about it.

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Speaker 1: But anyways, they are very, very proud people.

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Speaker 4: They are.

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Speaker 5: And anyways, I give them all the respect in the world.

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Speaker 5: They had a tough road.

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Speaker 2: Hey, man, I'm with you. I'm with you, Rob. The

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Speaker 2: only problem is I'm bumping up against the news. Thank

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Speaker 2: you for the call, though, appreciate it. Yeah, I mean,

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Speaker 2: I do think we should do everything within our power

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Speaker 2: to help the Native Americans, Indians whatever you want to

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Speaker 2: call them. But it's got to be within reason.

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Speaker 1: But I don't know.

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Speaker 2: I mean, seeing poverty and things like that, and I've

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Speaker 2: never been on an Indian reservation. We need to take

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Speaker 2: care of those people, but not make them wards of

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Speaker 2: the government. Hey, we got to take a break. Butt

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Speaker 2: when we get back your calls again. Seven four nine,

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Speaker 2: seven thousand, one, eight hundred. The big one are the numbers.

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Speaker 2: Mike Allen in for SLOWE seven hundred WL.

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Speaker 4: Wow.

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Speaker 1: Pretty funky there, Dave. Bet your back there in the

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Speaker 1: control room stepping out for that good stuff. Anyway, nine p.

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Speaker 2: Thirty seven we are back, got open lines seven four nine,

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Speaker 2: seven thousand, one eight hundred. The big one are the numbers.

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Speaker 2: The first caller I believe that we took didn't seem

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Speaker 2: to want to give Trump credit for falling gas prices.

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Speaker 2: And you know, if anything, I think he deserves credit

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Speaker 2: for that. I really do. I mean, you think about

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Speaker 2: what he did with respect to drill baby drill, fracking,

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Speaker 2: building new or facilitating the building of new facilities.

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Speaker 1: So he opened it up.

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Speaker 2: I mean, the idiotic controls regulations that Joe Biden had

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Speaker 2: on the fuel industry, that's what killed it. So we

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Speaker 2: got to give him credit for that. You know, it's

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Speaker 2: still a deal no matter what. And Bill Clinton was

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Speaker 2: elected because of this. If the economy sucks, President's going

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Speaker 2: to get some grief about it. If it's great, the

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Speaker 2: President is going to be touting it all over the place,

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Speaker 2: thinking about and talking about touting things. I'm want to

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Speaker 2: preface this with this is from the White House. Put

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Speaker 2: out a press release What's the data of this thing?

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Speaker 2: November twenty fourth. It is titled more relief on the

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Speaker 2: way as economic wins bring savings to gas pump Thanksgiving

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Speaker 2: tables and what Trump does sometimes on these things, it's

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Speaker 2: a minimum of him or the administration making the point

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Speaker 2: that he wants to make. He leaves it to local

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Speaker 2: media to do that for him because he doesn't believe

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Speaker 2: he gets a fair shake from the mainstream media. That

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Speaker 2: would be the understatement of the decade. They hate him,

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Speaker 2: They screw him at every turn. So you know, mister President,

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Speaker 2: do what you gotta do. Just a few of them

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Speaker 2: here kind of addresses the gas price then too, we

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Speaker 2: were talking about.

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Speaker 1: This is from.

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Speaker 2: KDVRTV and Denver headline cheapest gas prices in Denver hit

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Speaker 2: less than two dollars Sunday ahead of Thanksgiving weekend. Just

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Speaker 2: a couple sentences of the story. Gas prices in December

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Speaker 2: are trending down just in time for the busy Thanksgiving

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Speaker 2: travel weekend, with one station in the city even hitting

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Speaker 2: less than two bucks on Sunday. And I'd like to

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Speaker 2: see that here. That's according to gas Buddy. I don't

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Speaker 2: know what that is. Just in the last week, gas

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Speaker 2: prices in Denver I've fallen fourteen cents on the galling gallon,

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Speaker 2: hitting two point four to seven per gallon. That was

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Speaker 2: last week, anyway, gas Buddy reports that the number is

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Speaker 2: lower than the national average of three dollars and three

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Speaker 2: cents per gallon. Talking about that two bucks and two

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Speaker 2: forty seven in Denver, So I do think you have

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Speaker 2: to give him credit for that. It's again, Biden had

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Speaker 2: so many idiotic rules against fracking, and you know you

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Speaker 2: weren't allowed to drill here, you weren't allowed to drill there.

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Speaker 2: Of course he had to please and suck up to

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Speaker 2: his radical liberal base of the environmentalists. So Trump could

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Speaker 2: care less what they think, as could I. Okay, ksat

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Speaker 2: TV San Antonio, Texas headline, san Antonio gas price is

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Speaker 2: set to hit pandemic era lows for Thanksgiving. Just one

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Speaker 2: sentence on this one. San Antonio drivers may have noticed

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Speaker 2: some interesting movement at the pump this week. Thanksgiving travelers

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Speaker 2: are still expected to see cheaper gas at the pump

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Speaker 2: compared to last year. Now ask yourself this question. Would

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Speaker 2: there be besides five? Maybe would there be any mainstream

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Speaker 2: news outlet, you know, Washington Post, New York Times, ABC, CBS,

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Speaker 2: NBC that would say that No, there's just no way,

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Speaker 2: because I don't want to give Trump the credit for it.

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Speaker 2: Let's see if we can move on from gas prices here,

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Speaker 2: what else has he got?

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Speaker 1: Okay?

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Speaker 2: This is from Shreveport, Louisiana. Thanksgiving dinner with turkey is

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Speaker 2: bargain in Louisiana, where costs are below US average. Thanksgiving

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Speaker 2: family feast to feed ten people in Louisiana this year

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Speaker 2: is more affordable than any other state in the US

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Speaker 2: except for Arkansas. I think they have a bunch of

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Speaker 2: chickens in Arkansas. Is that where one of the big

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Speaker 2: producers is.

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Speaker 1: I don't know.

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Speaker 2: Anyway, it's the cheapest in any state except Arkansas.

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Speaker 1: That's according to the American.

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Speaker 2: Farm Bureau Cost Survey, the cost for eleven market turkey

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Speaker 2: basket eleven market turkey basket items including a whole frozen

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Speaker 2: turkey in Louisiana and twenty twenty five is forty four

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Speaker 2: seventy That's more than ten bucks cheaper than the national average.

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Speaker 2: So you gotta have your Thanksgiving dinner in Louisiana.

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Speaker 1: And I'm here to tell you I did. I did.

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Speaker 2: My daughter went undergrad to spring Hill College that's in Mobile,

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Speaker 2: about a two and a half hour drive to get

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Speaker 2: to New Orleans. From there, my daughter made it I

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Speaker 2: think about half of that time. Anyway, we had a

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Speaker 2: Thanksgiving feast. I forget the name of the restaurant, but man,

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Speaker 2: they do it up right down there, not exactly like

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Speaker 2: we have here, but it was really cool.

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Speaker 1: It was good to do that.

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Speaker 2: So anyway, that just gives you an idea, I guess

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Speaker 2: of what Trump. Thanks, as far as the price is

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Speaker 2: going down on gas and other things. Hey, we got

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Speaker 2: a call. Let's talk to Larry in Hamilton. Hey, Larry,

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Speaker 2: how you doing doing well?

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Speaker 6: Mike, You and I are old friends.

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Speaker 7: I'm sure you know who I.

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Speaker 6: Am back in my top days around Coryan.

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Speaker 1: Oh yeah, yeah, yeah, yeah. How you doing Larry?

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Speaker 7: I'm doing fantastic, glove listening to you even on a Wednesday,

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Speaker 7: yeah day. Now, that previous caller that was somewhat negative

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Speaker 7: about Trump, he's forgetting. What Trump is doing today is

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Speaker 7: planting seeds for the future. He is a businessman, and

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Speaker 7: you think for a minute he doesn't have influence on

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Speaker 7: the pricing. Yes, he does across the country, all the

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Speaker 7: stuff that he's doing. People aren't giving him enough credit

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Speaker 7: for all the stuff he's doing on a worldwide basis,

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Speaker 7: But even at home, he's planting the seeds for economic

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Speaker 7: growth in the near future. But it's not hop thing

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Speaker 7: fast enough for the certain groups of people. And I

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Speaker 7: think you're doing a fantastic job, are you too.

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Speaker 2: People people want the instant results though, Larry, I mean,

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Speaker 2: that's just what we're geared towards in this society. They

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Speaker 2: want it down and I don't want it down now.

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Speaker 2: And it is going down, but it's still too high.

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Speaker 7: Fast, fast food, fast everything, driving up window to the bank,

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Speaker 7: drive up window to everything.

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Speaker 3: Now think about this, let me switch gears.

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Speaker 4: For just a second.

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Speaker 7: Okay, So think about all the money that was going

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Speaker 7: to the Somaulians up in Minnesota and the I mean,

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Speaker 7: you talk about a crime that's that's ridiculous, and the

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Speaker 7: big media doesn't want to talk about that.

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Speaker 1: Oh of course not no, of course not.

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Speaker 2: Well I thought it reached at least a billion, possibly more,

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Speaker 2: just out and out damn theft. And I don't know

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Speaker 2: whoever released that money to them ought to have to

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Speaker 2: pay the price.

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Speaker 1: But you're absolutely right about that.

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Speaker 2: Well, remember when Trump came in, and there's a second

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Speaker 2: or third day he got rid of that USAID agency

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Speaker 2: that was, you know, throwing our taxpayer dollars around for

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Speaker 2: sesame street for people in Egypt, shit stuff like that,

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Speaker 2: you know.

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Speaker 7: And my last, but not least, that crap about telling

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Speaker 7: soldiers that they don't have to abide by an unlawful order.

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Speaker 7: Oh my gosh, what more can you do to undermine

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Speaker 7: the integrity of our military by planting the seed that

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Speaker 7: they can disobey an order. That's called treason. You get

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Speaker 7: court martialed. Now, at the end of the day. I

422
00:25:35,080 --> 00:25:37,840
Speaker 7: had a conversation with a coworker the other day about

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Speaker 7: the illegal the gentleman that.

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Speaker 4: Was at the.

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Speaker 7: Children's hospital that blah blah blah when he was put

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Speaker 7: into jail in Butler County.

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Speaker 3: Was he an illegal if of the United States.

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Speaker 7: The answer is yes, Okay, So the fact that he

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Speaker 7: was a minister or whatever doesn't make any difference. That's

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Speaker 7: that's such a kind of a wrong ideology. Well, because

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Speaker 7: he is a minister, he should be treated different.

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Speaker 3: Nope, you know that that whole thing.

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Speaker 4: We're all to be treated equal. At the end of

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Speaker 4: the day.

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Speaker 7: That was such the argument or discussion I was in

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Speaker 7: with a coworker about that person being incarcerated. The fact is,

437
00:26:20,960 --> 00:26:22,720
Speaker 7: on that day he was incarcerated.

438
00:26:22,840 --> 00:26:24,040
Speaker 4: Was he here illegally?

439
00:26:24,320 --> 00:26:26,760
Speaker 6: Yes, he was going to a process, but at the

440
00:26:26,840 --> 00:26:30,680
Speaker 6: time he was here illegally. Therefore he should have been.

441
00:26:30,600 --> 00:26:35,240
Speaker 7: Dealt with otherwise it's predatory, you know, application of the

442
00:26:35,400 --> 00:26:36,760
Speaker 7: of you know the law.

443
00:26:36,760 --> 00:26:40,280
Speaker 2: Right, Well, listen to this, maybe you heard it and

444
00:26:40,320 --> 00:26:43,160
Speaker 2: it came from the view, So you know they're idiots

445
00:26:44,040 --> 00:26:46,879
Speaker 2: that one of those persons on the view, I forget

446
00:26:46,880 --> 00:26:52,000
Speaker 2: which one said it was. It's racist to call them

447
00:26:52,440 --> 00:26:53,760
Speaker 2: illegal aliens.

448
00:26:54,280 --> 00:26:56,000
Speaker 1: I mean, what the hell.

449
00:26:56,200 --> 00:27:00,399
Speaker 2: They're they're here, they trespassed into our country trade of

450
00:27:00,480 --> 00:27:01,120
Speaker 2: federal law.

451
00:27:02,240 --> 00:27:03,240
Speaker 1: They're criminals.

452
00:27:03,480 --> 00:27:06,800
Speaker 2: I mean, you can, you can try to minimize that

453
00:27:06,880 --> 00:27:08,639
Speaker 2: as much as you want, but that's the case.

454
00:27:09,119 --> 00:27:10,679
Speaker 1: And we are in a point in this country.

455
00:27:10,720 --> 00:27:14,240
Speaker 2: God, I'll never figure this out where the left, the

456
00:27:14,320 --> 00:27:19,280
Speaker 2: Democrats care more about people that trespassed into our country

457
00:27:19,520 --> 00:27:23,520
Speaker 2: than they do ordinary Americans. I hope people are getting

458
00:27:23,520 --> 00:27:25,640
Speaker 2: fed up with that, but I don't know.

459
00:27:25,840 --> 00:27:26,560
Speaker 1: I guess we'll.

460
00:27:26,400 --> 00:27:31,240
Speaker 7: See Michael calling them racist is putting lipstick on a pig.

461
00:27:32,240 --> 00:27:36,159
Speaker 1: I gotcha, Hey, man, I gotta let you know. Okay,

462
00:27:36,200 --> 00:27:37,680
Speaker 1: thank you for the call so much.

463
00:27:39,080 --> 00:27:42,680
Speaker 2: Let's talk to lou in beautiful Harrison and I mean that, Hey,

464
00:27:42,680 --> 00:27:43,359
Speaker 2: lou how you.

465
00:27:43,280 --> 00:27:46,240
Speaker 4: Doing, talk to you? Pat? Sorry about yourself?

466
00:27:46,400 --> 00:27:48,159
Speaker 1: Good? I'm good. I'm good. What you got for me?

467
00:27:49,440 --> 00:27:52,000
Speaker 3: And so I was listening earlier when you're talking about with.

468
00:27:52,240 --> 00:27:54,600
Speaker 8: The Thanksgiving comment about how a lot of people are

469
00:27:54,680 --> 00:27:57,359
Speaker 8: just trying to hold protests about Thanksgiving.

470
00:27:57,520 --> 00:27:59,200
Speaker 4: What thing that kind of bothers.

471
00:27:58,840 --> 00:28:02,720
Speaker 8: Me is that, you know, yeah, it's very easy to

472
00:28:02,760 --> 00:28:06,600
Speaker 8: focus on the past of what happened, but it's the

473
00:28:06,640 --> 00:28:08,880
Speaker 8: whole purpose of the holiday itself is just to give

474
00:28:08,960 --> 00:28:10,240
Speaker 8: thanks for the things.

475
00:28:10,359 --> 00:28:13,840
Speaker 9: That you have in the future, in the future.

476
00:28:13,560 --> 00:28:17,600
Speaker 3: And in now. Right man, It's like life is just

477
00:28:17,680 --> 00:28:18,440
Speaker 3: too short.

478
00:28:18,720 --> 00:28:21,520
Speaker 10: And I'm not gonna lie, I'm not trying to boast,

479
00:28:21,560 --> 00:28:23,520
Speaker 10: but I work in an emergency department, and so you

480
00:28:23,520 --> 00:28:25,439
Speaker 10: can imagine, like how many times a day that we

481
00:28:25,560 --> 00:28:29,679
Speaker 10: see things that are horrible, and it's just, you know,

482
00:28:30,119 --> 00:28:32,280
Speaker 10: like I'll tell people all the time, like be thankful

483
00:28:32,320 --> 00:28:34,159
Speaker 10: for the things that you have, because it could have

484
00:28:34,160 --> 00:28:36,359
Speaker 10: been a lot worse than what it is right now.

485
00:28:36,920 --> 00:28:39,400
Speaker 10: And especially it's like I'll tell you this, I'm thankful

486
00:28:39,480 --> 00:28:44,280
Speaker 10: for my family. I'm thankful for being an American, and

487
00:28:45,320 --> 00:28:46,160
Speaker 10: I'm thankful for you.

488
00:28:46,240 --> 00:28:46,440
Speaker 4: Mike.

489
00:28:46,560 --> 00:28:47,200
Speaker 3: You're a good guy.

490
00:28:47,640 --> 00:28:51,280
Speaker 2: Thank you so much, Lou. I appreciate that. That's very kind.

491
00:28:51,440 --> 00:28:51,840
Speaker 2: Thank you.

492
00:28:53,000 --> 00:28:55,560
Speaker 6: All right, Warries, buddy, you take care of yourself, all right, you.

493
00:28:55,480 --> 00:28:59,000
Speaker 1: Too, have a great Thanksgiving? All right.

494
00:28:59,160 --> 00:29:01,920
Speaker 2: Hey, we got Bill for Montgomery. Let's talk to him. Hey, Bill,

495
00:29:02,160 --> 00:29:02,920
Speaker 2: you're on the air.

496
00:29:04,240 --> 00:29:05,520
Speaker 6: Bhi, Mike, can you hear me?

497
00:29:05,520 --> 00:29:07,240
Speaker 1: Okay, absolutely loud and clear.

498
00:29:08,320 --> 00:29:11,920
Speaker 11: Great, Mike, you actually helped me with an opinion piece

499
00:29:12,240 --> 00:29:18,880
Speaker 11: in the Inquirer for supporting Orlando Sonza. Oh actually, yeah,

500
00:29:19,000 --> 00:29:23,200
Speaker 11: So I'm actually calling about a couple of days ago.

501
00:29:23,240 --> 00:29:26,720
Speaker 11: You had been talking about elections and how we've lost

502
00:29:26,720 --> 00:29:31,480
Speaker 11: Hamilton County. And it's been one of my theories or

503
00:29:31,520 --> 00:29:35,600
Speaker 11: observation for decades now that we have lost Hamilton County

504
00:29:35,640 --> 00:29:39,680
Speaker 11: because we surrendered our public school institutions.

505
00:29:40,280 --> 00:29:41,560
Speaker 1: And what do you mean by that?

506
00:29:42,160 --> 00:29:44,840
Speaker 2: I think you're onto something, but what what, what exactly

507
00:29:44,920 --> 00:29:46,239
Speaker 2: do you mean by that?

508
00:29:46,280 --> 00:29:49,560
Speaker 1: Bill surrendered the institutions?

509
00:29:49,880 --> 00:29:53,960
Speaker 11: And you know, and Mike, this didn't even conjecture. Randy Weingardner,

510
00:29:54,040 --> 00:29:57,720
Speaker 11: she's still the second largest teacher union, awful, said that

511
00:29:57,800 --> 00:30:00,720
Speaker 11: she believes politics should be in needs to be in

512
00:30:00,760 --> 00:30:04,400
Speaker 11: the classroom. I know the teacher unions. Yeah so they

513
00:30:04,840 --> 00:30:07,360
Speaker 11: And by the way, something I don't think most people

514
00:30:07,400 --> 00:30:12,400
Speaker 11: were aware of until recently, Randy Winegardner and Becky Pringle,

515
00:30:13,440 --> 00:30:17,440
Speaker 11: the presidents of the two largest teacher unions, serve on

516
00:30:17,800 --> 00:30:19,360
Speaker 11: the Democratic National Committee.

517
00:30:19,520 --> 00:30:22,760
Speaker 2: I wouldn't doubt it. If you remember Bill during COVID.

518
00:30:23,280 --> 00:30:27,920
Speaker 2: They found out that whether it was the NEA or AFT,

519
00:30:28,520 --> 00:30:32,840
Speaker 2: both the two strong teachers unions, they were signing off

520
00:30:33,000 --> 00:30:38,080
Speaker 2: on some of the regulations that Biden was putting in

521
00:30:38,160 --> 00:30:41,480
Speaker 2: place for going back to work. They actually sent it

522
00:30:41,520 --> 00:30:43,440
Speaker 2: to them. And let me tell you another boy, you

523
00:30:43,520 --> 00:30:47,000
Speaker 2: hit a nerve here. I do my research for this show.

524
00:30:47,080 --> 00:30:50,920
Speaker 2: I've been doing it a long time. I like doing it. Never,

525
00:30:51,480 --> 00:30:56,600
Speaker 2: not once ever have I heard either Randy Winingartner or

526
00:30:56,640 --> 00:31:03,320
Speaker 2: the president of the other union say anything about educating

527
00:31:03,440 --> 00:31:04,200
Speaker 2: our children.

528
00:31:04,800 --> 00:31:05,160
Speaker 1: Nothing.

529
00:31:05,480 --> 00:31:09,720
Speaker 2: It's all politics. They shake down their members for contributions.

530
00:31:10,080 --> 00:31:12,040
Speaker 2: They're too damn powerful.

531
00:31:11,640 --> 00:31:17,320
Speaker 11: I think, right absolutely, and Mike as it pertains to that.

532
00:31:17,720 --> 00:31:20,760
Speaker 11: And I'm in the process of writing another opinion piece

533
00:31:21,120 --> 00:31:22,360
Speaker 11: into the Acquirer, which.

534
00:31:22,160 --> 00:31:23,120
Speaker 6: I don't know if they'll run.

535
00:31:23,400 --> 00:31:25,440
Speaker 1: Okay, I don't know.

536
00:31:25,480 --> 00:31:28,000
Speaker 11: Are you familiar with what's going on in the Sycamore

537
00:31:28,120 --> 00:31:29,840
Speaker 11: Communities school system?

538
00:31:30,080 --> 00:31:30,520
Speaker 1: No?

539
00:31:30,520 --> 00:31:33,480
Speaker 2: No, not really what's going on with them?

540
00:31:33,560 --> 00:31:38,240
Speaker 11: So back in September of twenty twenty four, the president

541
00:31:38,400 --> 00:31:42,240
Speaker 11: of the teacher union that it's the Sycamore Education Association.

542
00:31:42,400 --> 00:31:48,480
Speaker 11: They're a local affiliate for the NEA, the National Education Association,

543
00:31:48,520 --> 00:31:51,160
Speaker 11: which Becky Pringle was president of Okay and they're the

544
00:31:51,240 --> 00:31:56,280
Speaker 11: largest teacher union. The president of the teacher the local

545
00:31:56,320 --> 00:32:01,280
Speaker 11: teacher union went to a school board meeting. Several people

546
00:32:01,480 --> 00:32:04,320
Speaker 11: felt she was intoxicated, which she later on a menuted

547
00:32:04,360 --> 00:32:07,680
Speaker 11: that she was on sedatives and had an alcoholic drink.

548
00:32:07,920 --> 00:32:08,280
Speaker 4: Wow.

549
00:32:08,320 --> 00:32:11,960
Speaker 11: She exposed herself at least two to three times, which

550
00:32:12,040 --> 00:32:17,640
Speaker 11: was caught in surveillance camera. Then she bullied a female

551
00:32:17,680 --> 00:32:21,720
Speaker 11: co worker. Then she made a comment loud enough for

552
00:32:21,920 --> 00:32:25,280
Speaker 11: other people in the area to hear that she's there

553
00:32:25,360 --> 00:32:29,400
Speaker 11: was a black principal at the school honoring black students

554
00:32:29,720 --> 00:32:33,920
Speaker 11: with an award, and she said, and I quote, what

555
00:32:34,000 --> 00:32:37,640
Speaker 11: is an incompetent black man doing up there? Black and

556
00:32:37,760 --> 00:32:42,160
Speaker 11: man were synonymous. So long story short, Mike is the

557
00:32:42,200 --> 00:32:46,400
Speaker 11: school board which has been the majority of the school board,

558
00:32:47,080 --> 00:32:51,880
Speaker 11: has been supported, endorsed, and even funded by the teacher.

559
00:32:52,280 --> 00:32:56,000
Speaker 1: Yes, it really is. Bill. I'm running out of time,

560
00:32:56,040 --> 00:32:57,200
Speaker 1: but that's good stuff.

561
00:32:57,400 --> 00:33:01,200
Speaker 2: Please call back, Okay, thank you.

562
00:33:01,200 --> 00:33:03,360
Speaker 1: You know, just one other thing to add to what

563
00:33:03,480 --> 00:33:04,120
Speaker 1: Bill said.

564
00:33:04,960 --> 00:33:07,720
Speaker 2: What we have to do and I don't know how

565
00:33:07,760 --> 00:33:11,280
Speaker 2: it went in this last election, and we were doing

566
00:33:11,320 --> 00:33:14,040
Speaker 2: pretty good on it for a while. We have to

567
00:33:14,080 --> 00:33:17,920
Speaker 2: get mothers fathers, people with kids in school on these

568
00:33:17,960 --> 00:33:22,239
Speaker 2: local school boards. Again, Hamilton County's getting to be a

569
00:33:22,240 --> 00:33:26,080
Speaker 2: tougher nut to crack for Republicans. But the school board

570
00:33:26,160 --> 00:33:29,040
Speaker 2: races are down ballot races. That's where we would have

571
00:33:29,080 --> 00:33:32,160
Speaker 2: a good chance. I think that has to happen. The

572
00:33:32,240 --> 00:33:37,000
Speaker 2: other thing, parents have to look at the books that

573
00:33:37,280 --> 00:33:40,520
Speaker 2: their kids are bringing home. They have to do that

574
00:33:41,080 --> 00:33:44,000
Speaker 2: to see what's being taught to their kids. You know what,

575
00:33:44,120 --> 00:33:46,959
Speaker 2: My parents never had to do that, but because they

576
00:33:46,960 --> 00:33:50,520
Speaker 2: didn't have to, they didn't have to. But I think

577
00:33:51,040 --> 00:33:53,920
Speaker 2: I think parents now should do that. Hey, listen, we

578
00:33:54,000 --> 00:33:56,040
Speaker 2: got to take a break for the news, but I

579
00:33:56,040 --> 00:33:59,000
Speaker 2: think you're going to like this next segment. Dennis Whitehead.

580
00:33:59,360 --> 00:34:03,080
Speaker 2: He's an author of a book about the Cincinnati Strangler.

581
00:34:03,400 --> 00:34:06,160
Speaker 2: I'll tell you what, if you're anywhere near my age

582
00:34:06,320 --> 00:34:10,400
Speaker 2: ten years give or take, you're gonna really find this

583
00:34:10,560 --> 00:34:14,600
Speaker 2: interesting talking about post see Laski, the Cincinnati Strangler, and

584
00:34:15,120 --> 00:34:18,200
Speaker 2: he wrote a very very thorough book about it. And

585
00:34:18,320 --> 00:34:20,960
Speaker 2: we'll talk to Dennis when we get back. Mike Allen

586
00:34:21,120 --> 00:34:24,960
Speaker 2: in for Slowey seven hundred WLW. You want to be

587
00:34:25,040 --> 00:34:31,160
Speaker 2: an Americanity News Radio seven hundred WLW Mike Allen Saturday.

588
00:34:32,600 --> 00:34:36,040
Speaker 2: I do that at least once every time I sub

589
00:34:36,160 --> 00:34:41,000
Speaker 2: for somebody else. We'll talk to you Saturday midday on Saturday.

590
00:34:41,120 --> 00:34:45,080
Speaker 2: I'm in for Slowney today, I'm in for Willie tomorrow. Hey,

591
00:34:45,120 --> 00:34:49,040
Speaker 2: before we before Friday, thank you, Dave. Before we get

592
00:34:49,080 --> 00:34:50,640
Speaker 2: to our guests, I just want to let you know

593
00:34:50,719 --> 00:34:55,240
Speaker 2: what we've got cooking going forward. At ten thirty, Steve Gooden,

594
00:34:55,640 --> 00:34:58,680
Speaker 2: Legal analyst, Steve Gooden, Boy, we're going to talk about

595
00:34:58,680 --> 00:35:04,200
Speaker 2: the absolute debas buckle with the Komy and Leticia James indictments.

596
00:35:04,560 --> 00:35:07,680
Speaker 2: Doj is not looking good on that, and going to

597
00:35:07,760 --> 00:35:10,640
Speaker 2: ask Steve if the case can be refiled and what

598
00:35:10,680 --> 00:35:13,920
Speaker 2: the effect will be. At eleven o'clock, doctor John Lott,

599
00:35:14,000 --> 00:35:17,200
Speaker 2: always a good guest, did a really good piece about

600
00:35:17,239 --> 00:35:23,200
Speaker 2: how the left lies about children dying by guns, absolute lies,

601
00:35:23,680 --> 00:35:26,280
Speaker 2: and we'll talk to him at eleven. Finally, batting cleanup

602
00:35:26,480 --> 00:35:30,560
Speaker 2: is our friend Janie Heisel from the Epoch Times. She

603
00:35:30,800 --> 00:35:34,719
Speaker 2: just fould a great story on the election a few

604
00:35:34,719 --> 00:35:39,280
Speaker 2: weeks ago and how that relates to our journey into

605
00:35:39,320 --> 00:35:44,399
Speaker 2: socialism or maybe not so anyway, Hey, before we do that, though,

606
00:35:44,400 --> 00:35:48,719
Speaker 2: I've been looking forward to this if you are my

607
00:35:48,880 --> 00:35:54,680
Speaker 2: age or around there, you'll remember this. It just rocked

608
00:35:54,719 --> 00:35:59,080
Speaker 2: this town. I'm talking about Postelaski to Cincinnati Strangler.

609
00:35:59,480 --> 00:36:01,479
Speaker 1: It was a huge deal.

610
00:36:02,239 --> 00:36:05,759
Speaker 2: And Dennis is going to tell you this whole community

611
00:36:06,080 --> 00:36:11,920
Speaker 2: was just in such fear of this guy. Women were

612
00:36:11,920 --> 00:36:14,279
Speaker 2: going out and buying more locks for the doors, the

613
00:36:14,320 --> 00:36:18,680
Speaker 2: whole thing. Anyway, Dennis White had He's an ou gred

614
00:36:18,880 --> 00:36:22,200
Speaker 2: a graduate of Hiring a university. He's a writer, photographer,

615
00:36:22,239 --> 00:36:25,920
Speaker 2: and media producer. Again, like I said, from Cincinnati, but

616
00:36:26,040 --> 00:36:30,520
Speaker 2: now living in Arlington, Virginia. Dennis, thanks for calling in

617
00:36:30,600 --> 00:36:31,160
Speaker 2: this morning.

618
00:36:32,560 --> 00:36:33,319
Speaker 9: Good morning Mike.

619
00:36:33,400 --> 00:36:36,440
Speaker 2: Thanks for having me my pleasure. Yeah, you know, I'm

620
00:36:36,440 --> 00:36:39,520
Speaker 2: sure you heard the intro. Did I sum that up right?

621
00:36:39,640 --> 00:36:41,439
Speaker 2: And what I was going to ask you to do,

622
00:36:41,719 --> 00:36:44,719
Speaker 2: if you could, is just give us an overview on

623
00:36:44,840 --> 00:36:49,200
Speaker 2: what was going on in this city between December of

624
00:36:49,880 --> 00:36:53,320
Speaker 2: I think it was sixty five, in December of sixty six.

625
00:36:56,800 --> 00:37:01,959
Speaker 9: Well, in essence, it was a period when Cincinnati really

626
00:37:01,960 --> 00:37:10,640
Speaker 9: lost its innocens. Nationally, Vietnam was building the March for

627
00:37:10,719 --> 00:37:14,960
Speaker 9: Civil Rights, it was well underway. There was violence attached

628
00:37:14,960 --> 00:37:19,920
Speaker 9: to it. Tension was building and building in this period,

629
00:37:21,239 --> 00:37:25,239
Speaker 9: so people were already on edge when suddenly women were

630
00:37:26,800 --> 00:37:33,000
Speaker 9: being found strangled to death. Initially, pardon me, thought to

631
00:37:33,040 --> 00:37:35,600
Speaker 9: be just on the east side of town. Suddenly the

632
00:37:35,640 --> 00:37:37,120
Speaker 9: second murder was in Price Hill.

633
00:37:37,320 --> 00:37:37,600
Speaker 1: Yep.

634
00:37:37,880 --> 00:37:42,279
Speaker 9: Now police knew that they had a citywide problem. So

635
00:37:42,360 --> 00:37:48,360
Speaker 9: that grew the tension, the anxieties, yes, with fear that

636
00:37:48,440 --> 00:37:49,120
Speaker 9: people felt.

637
00:37:50,360 --> 00:37:53,400
Speaker 2: Well, I remember it and one of the things as kids,

638
00:37:53,560 --> 00:37:55,399
Speaker 2: we absolutely hated this.

639
00:37:56,320 --> 00:37:57,160
Speaker 1: It was at that.

640
00:37:57,160 --> 00:38:02,080
Speaker 2: Time when the decision was made, probably nineteen sixty six

641
00:38:02,600 --> 00:38:06,399
Speaker 2: October sixty sixth. Decision was made. You're not going out

642
00:38:06,440 --> 00:38:08,759
Speaker 2: at night trick or treating. If you want to go out,

643
00:38:09,160 --> 00:38:11,640
Speaker 2: you're doing it during the day. We were none too

644
00:38:11,680 --> 00:38:14,560
Speaker 2: happy about it, but in retrospect, I think it was

645
00:38:14,600 --> 00:38:15,800
Speaker 2: probably a good idea.

646
00:38:16,520 --> 00:38:19,120
Speaker 1: And again and it was moved.

647
00:38:19,360 --> 00:38:21,480
Speaker 9: It was moved to Sunday as well, so it wasn't

648
00:38:21,520 --> 00:38:22,560
Speaker 9: even on the thirty first.

649
00:38:22,719 --> 00:38:25,440
Speaker 2: Okay, I didn't remember that, but yeah, people were bending

650
00:38:25,520 --> 00:38:29,480
Speaker 2: over backwards. I think I mentioned to you before, I've

651
00:38:29,480 --> 00:38:33,720
Speaker 2: got an old Irish grandma. She's passed away. This woman

652
00:38:33,920 --> 00:38:40,440
Speaker 2: wasn't afraid of anything. However, when that Price Hill strangulation

653
00:38:40,600 --> 00:38:43,560
Speaker 2: took place, she must had five locks.

654
00:38:43,280 --> 00:38:43,799
Speaker 4: On her door.

655
00:38:44,040 --> 00:38:47,880
Speaker 2: I mean, this place was just rocked by that. I

656
00:38:47,920 --> 00:38:49,719
Speaker 2: think it's hard to convey and you can probably do

657
00:38:49,800 --> 00:38:52,920
Speaker 2: it better than me. The feeling in this town during

658
00:38:52,960 --> 00:38:57,440
Speaker 2: this time, just the feeling of fear and law enforcement's

659
00:38:57,480 --> 00:39:00,279
Speaker 2: response to it. They threw a lot of resource is

660
00:39:00,800 --> 00:39:02,000
Speaker 2: at this thing, don't you.

661
00:39:02,000 --> 00:39:04,279
Speaker 1: Think, Oh?

662
00:39:04,320 --> 00:39:08,960
Speaker 9: Absolutely absolutely? Well, you know, for for me personally, I

663
00:39:09,040 --> 00:39:13,160
Speaker 9: was just a kid like you and uh my widowed

664
00:39:13,160 --> 00:39:16,640
Speaker 9: mother who grew up in Price Hill went to school

665
00:39:16,640 --> 00:39:19,040
Speaker 9: at Cedar Grove Academy right across the street from one

666
00:39:19,080 --> 00:39:23,160
Speaker 9: of the murders. I was born blocks from, uh the

667
00:39:23,239 --> 00:39:26,600
Speaker 9: murder that posted ELASKI was convicted of. So so this

668
00:39:26,760 --> 00:39:31,239
Speaker 9: really was a it was it was neighborhood centric in

669
00:39:31,280 --> 00:39:33,680
Speaker 9: some ways, not just Price Hill. It was the same

670
00:39:33,680 --> 00:39:35,479
Speaker 9: in East Walnut Hills, right.

671
00:39:36,200 --> 00:39:36,480
Speaker 4: It was.

672
00:39:36,719 --> 00:39:39,759
Speaker 9: It was in Clifton as well. So it's spreading in

673
00:39:39,800 --> 00:39:41,160
Speaker 9: a band across the city.

674
00:39:42,200 --> 00:39:44,960
Speaker 1: Yep. And it's I'm trying to go ahead.

675
00:39:46,360 --> 00:39:51,240
Speaker 9: Well, the killer left no clues. There were no identifiable clues.

676
00:39:51,600 --> 00:39:53,799
Speaker 9: Now you have to remember that the that the the

677
00:39:53,840 --> 00:40:00,600
Speaker 9: forensics of the time weren't simply fingerprints, fluids, blood, simple

678
00:40:00,680 --> 00:40:02,120
Speaker 9: basic hair fibers.

679
00:40:02,719 --> 00:40:03,239
Speaker 4: There was no.

680
00:40:03,280 --> 00:40:06,560
Speaker 9: DNA that would not be until the nineteen eighties, So

681
00:40:06,640 --> 00:40:11,239
Speaker 9: they had no evidence except that hair evidence pointed to

682
00:40:11,600 --> 00:40:16,279
Speaker 9: a black man, but without specifics. They cast a net

683
00:40:16,320 --> 00:40:20,480
Speaker 9: across the city, initially starting with men who had been

684
00:40:20,719 --> 00:40:24,719
Speaker 9: who had previously had conditions for sex crimes, but then

685
00:40:24,760 --> 00:40:30,120
Speaker 9: it began to spread to random people based upon calls

686
00:40:30,120 --> 00:40:34,279
Speaker 9: in the station X. The police would follow up. Detectives,

687
00:40:34,320 --> 00:40:35,600
Speaker 9: patrolmen would follow.

688
00:40:35,400 --> 00:40:41,360
Speaker 2: Up thousands, I mean thousands of clues, thousands of calls.

689
00:40:41,960 --> 00:40:44,439
Speaker 1: Let me ask you this, how many victims in all

690
00:40:44,520 --> 00:40:44,880
Speaker 1: were they?

691
00:40:44,920 --> 00:40:47,839
Speaker 2: I know Barbara Bowman was the one that Lasky was

692
00:40:47,840 --> 00:40:53,200
Speaker 2: prosecuted successfully on. But how many victims in all Dennis

693
00:40:53,760 --> 00:40:55,160
Speaker 2: died at the hand of the strangler.

694
00:40:56,719 --> 00:41:03,279
Speaker 9: Well, the strangulation deaths, there were six. Barbara Bowman makes

695
00:41:03,320 --> 00:41:07,239
Speaker 9: the seventh. Now there were also numerous There were also

696
00:41:07,320 --> 00:41:12,840
Speaker 9: numerous assaults that that that occurred that did match the

697
00:41:12,840 --> 00:41:17,160
Speaker 9: the d m O of the killer in certain ways,

698
00:41:18,480 --> 00:41:20,200
Speaker 9: but it was but it was the it was the

699
00:41:20,239 --> 00:41:25,680
Speaker 9: strangulation murders that that were the key. U Now, Barbara Bowman,

700
00:41:25,719 --> 00:41:29,520
Speaker 9: while she died of stab wounds, did have a ligature

701
00:41:29,560 --> 00:41:33,000
Speaker 9: wound around her neck. So that's what drew police attention

702
00:41:33,160 --> 00:41:35,840
Speaker 9: to a connection to the strangler.

703
00:41:36,600 --> 00:41:39,480
Speaker 1: Gotcha. Let me let me ask you that question.

704
00:41:39,640 --> 00:41:40,920
Speaker 4: That was the one condition.

705
00:41:41,080 --> 00:41:44,399
Speaker 2: Okay, let me ask you this question too. You had

706
00:41:44,440 --> 00:41:47,680
Speaker 2: mentioned at tench time. I had to Obviously there were

707
00:41:47,800 --> 00:41:52,000
Speaker 2: racial issues and problems in the city of Cincinnati at

708
00:41:52,040 --> 00:41:55,800
Speaker 2: the time. That probably compounded some of it because again,

709
00:41:56,239 --> 00:41:59,120
Speaker 2: like you said, uh, they were looking for an African

710
00:41:59,160 --> 00:41:59,799
Speaker 2: American man.

711
00:41:59,880 --> 00:42:01,040
Speaker 1: Is that a fair statement.

712
00:42:03,400 --> 00:42:04,279
Speaker 4: Yeah. Absolutely.

713
00:42:04,440 --> 00:42:08,440
Speaker 9: It exacerbated the existing tensions that had grown out of

714
00:42:09,080 --> 00:42:14,320
Speaker 9: national frustrations with the civil rights movement. Finally succeeded in

715
00:42:14,400 --> 00:42:17,680
Speaker 9: nineteen sixty five with the passage of the Voting Rights Act.

716
00:42:18,520 --> 00:42:22,000
Speaker 9: So success was found that year, but tensions were still

717
00:42:22,000 --> 00:42:27,520
Speaker 9: There wasn't enough in Cincinnati. There was a general feeling

718
00:42:27,719 --> 00:42:34,200
Speaker 9: that while people of color could speak, the question was.

719
00:42:34,160 --> 00:42:35,280
Speaker 4: What were they being heard?

720
00:42:36,320 --> 00:42:39,480
Speaker 9: Was there more than just lip service being done in response?

721
00:42:40,000 --> 00:42:43,040
Speaker 9: And the answer was no, not really, and so there

722
00:42:43,080 --> 00:42:47,800
Speaker 9: was great deal of frustration over in action, local inaction.

723
00:42:49,120 --> 00:42:54,600
Speaker 9: Now then you bring in police attention to black males

724
00:42:54,640 --> 00:43:00,400
Speaker 9: across the city. At the same time, African American women

725
00:43:01,719 --> 00:43:03,640
Speaker 9: were just as concerned.

726
00:43:03,200 --> 00:43:04,840
Speaker 4: Sure as white women.

727
00:43:05,480 --> 00:43:10,520
Speaker 9: The problem was they experienced non responsiveness when they when

728
00:43:10,520 --> 00:43:11,160
Speaker 9: they would call.

729
00:43:12,360 --> 00:43:12,520
Speaker 4: Uh.

730
00:43:12,640 --> 00:43:15,960
Speaker 9: And during the during the panic really of the of

731
00:43:16,000 --> 00:43:20,000
Speaker 9: the strangler, there were calls from Kennedy Heights about a

732
00:43:20,040 --> 00:43:23,480
Speaker 9: car that matched the description of a car that had

733
00:43:23,480 --> 00:43:29,120
Speaker 9: been cruising around Kennedy Heights neighborhoods. There was no response

734
00:43:29,640 --> 00:43:32,640
Speaker 9: to it. There were there was no equal concern to that.

735
00:43:33,200 --> 00:43:36,720
Speaker 9: So that all built it built and built.

736
00:43:37,560 --> 00:43:37,799
Speaker 4: Now.

737
00:43:38,239 --> 00:43:42,839
Speaker 9: A breaking point in the lasty prosecution was then the

738
00:43:42,880 --> 00:43:46,839
Speaker 9: case of Oh goodness, I've forgotten his name, but there

739
00:43:46,880 --> 00:43:51,880
Speaker 9: was a Cincinnati end car copy editor who was arrested

740
00:43:51,880 --> 00:43:55,120
Speaker 9: on a strangulation murder. He had murdered his his girlfriend.

741
00:43:55,400 --> 00:43:56,280
Speaker 9: They were both white.

742
00:43:59,560 --> 00:44:03,360
Speaker 4: He was off. The probation well received.

743
00:44:03,920 --> 00:44:08,319
Speaker 2: There were different times back then. Uh, let me ask

744
00:44:08,360 --> 00:44:12,279
Speaker 2: you this. Uh they were. There was only one prosecution,

745
00:44:12,480 --> 00:44:15,800
Speaker 2: of course, that being for the murder of Barbara Bowman

746
00:44:15,920 --> 00:44:19,480
Speaker 2: up there on Ring Court in Price Hill. The first

747
00:44:19,560 --> 00:44:21,240
Speaker 2: cop on the scene was a legend.

748
00:44:21,520 --> 00:44:21,880
Speaker 4: Uh.

749
00:44:22,040 --> 00:44:23,640
Speaker 1: Let's see, it was accept him.

750
00:44:24,160 --> 00:44:24,359
Speaker 4: Uh.

751
00:44:24,560 --> 00:44:28,480
Speaker 2: He everybody knows him. Yes, he was a young cop

752
00:44:28,520 --> 00:44:32,279
Speaker 2: at the time. Though Mel Ruger was a prosecutor. I

753
00:44:32,360 --> 00:44:35,439
Speaker 2: knew Mel just a little bit, a little bit.

754
00:44:35,719 --> 00:44:36,160
Speaker 1: Uh.

755
00:44:36,520 --> 00:44:39,359
Speaker 2: He was a legend as well, a hell of a prosecutor,

756
00:44:39,760 --> 00:44:44,719
Speaker 2: absolutely a great prosecutor. The decision was made, although you

757
00:44:44,840 --> 00:44:49,280
Speaker 2: had all these homicides, uh, just to prosecute on Barbara

758
00:44:49,320 --> 00:44:52,880
Speaker 2: Bowman that murder and they got a conviction on that.

759
00:44:53,560 --> 00:44:57,840
Speaker 2: What was the feeling of the community at the time about, Hey, look,

760
00:44:57,920 --> 00:45:02,880
Speaker 2: you know, yeah, you got a successful prosecution of her murder,

761
00:45:02,880 --> 00:45:04,239
Speaker 2: but what about the rest of him.

762
00:45:04,640 --> 00:45:07,279
Speaker 1: Give us an idea of what the feeling about that was.

763
00:45:09,160 --> 00:45:14,560
Speaker 9: Well, Actually, when Laski was arrested on an attempted assault

764
00:45:14,719 --> 00:45:20,040
Speaker 9: charge that was bumped up to assault. When he was arrested,

765
00:45:21,760 --> 00:45:28,160
Speaker 9: the media coverage was the strangler suspects.

766
00:45:27,560 --> 00:45:30,160
Speaker 4: In hand, We've got him.

767
00:45:30,200 --> 00:45:33,640
Speaker 9: So from that moment forward there was a general feeling

768
00:45:33,680 --> 00:45:40,080
Speaker 9: of relief, made more so by the absence of further

769
00:45:40,200 --> 00:45:44,520
Speaker 9: murders once he was in custody. And that remains the

770
00:45:44,560 --> 00:45:51,080
Speaker 9: one pivotal point there. Those circumstantial The murders stopped when

771
00:45:51,120 --> 00:45:51,839
Speaker 9: he was taking them.

772
00:45:52,719 --> 00:45:54,640
Speaker 1: I mean, no question, unequivocally.

773
00:45:55,160 --> 00:45:58,680
Speaker 2: Also, you point out in a book the judge in

774
00:45:58,680 --> 00:46:05,840
Speaker 2: this case interesting Simon l Lease, Si Lisa, his dad.

775
00:46:06,520 --> 00:46:09,080
Speaker 2: He's kind of a crusty old guy, according to what

776
00:46:09,120 --> 00:46:13,480
Speaker 2: you have in the book, But a good judge, a

777
00:46:13,600 --> 00:46:16,880
Speaker 2: very experienced judge.

778
00:46:15,800 --> 00:46:22,840
Speaker 9: He had been a I had his biography in the book,

779
00:46:23,040 --> 00:46:28,920
Speaker 9: but hit a long career as a prosecutor, investigator, and

780
00:46:29,040 --> 00:46:32,320
Speaker 9: as a judge that also gave him experiences in the

781
00:46:32,400 --> 00:46:35,440
Speaker 9: Laski trial. He even went back to a case that

782
00:46:35,600 --> 00:46:38,600
Speaker 9: he I think he was an assistant prosecutor in the

783
00:46:38,640 --> 00:46:41,719
Speaker 9: nineteen thirties. He was seventy years old at the time

784
00:46:41,719 --> 00:46:47,200
Speaker 9: of Laski's trial. There was a murder trial of the poisoning.

785
00:46:47,600 --> 00:46:50,920
Speaker 9: It was Han and she was the first woman sentenced

786
00:46:50,960 --> 00:46:54,399
Speaker 9: to die in the electric chair in Ohio. She had

787
00:46:54,440 --> 00:47:00,400
Speaker 9: poisoned them. And he is techniques as a prosecutor. Allowed

788
00:47:00,840 --> 00:47:05,200
Speaker 9: Ruber to employee techniques in the trial that he had

789
00:47:05,280 --> 00:47:11,160
Speaker 9: used in the Han case. Remember, And and then there

790
00:47:11,239 --> 00:47:16,080
Speaker 9: was the the Abbott trial that preceded Laski's trial by

791
00:47:16,320 --> 00:47:21,320
Speaker 9: not much but some of the same legal maneuverings that

792
00:47:21,320 --> 00:47:28,520
Speaker 9: that that Ruber employed. Judge Lee was very familiar with,

793
00:47:29,080 --> 00:47:31,920
Speaker 9: and he allowed them to go into trial. And actually

794
00:47:31,960 --> 00:47:35,200
Speaker 9: one of the key things was testimony that was permitted

795
00:47:35,239 --> 00:47:38,600
Speaker 9: into the into the case in both the Abbot and

796
00:47:38,760 --> 00:47:42,240
Speaker 9: Lasky that really put the nail in their coffins.

797
00:47:42,560 --> 00:47:45,919
Speaker 1: Yeah, you know, go ahead, I'm sorry.

798
00:47:46,719 --> 00:47:48,680
Speaker 3: Oh, it was this.

799
00:47:48,680 --> 00:47:53,440
Speaker 9: This was testimony that was related to the to the defendant,

800
00:47:54,120 --> 00:47:57,279
Speaker 9: but not to the to the case. So in the

801
00:47:57,280 --> 00:48:00,879
Speaker 9: case of Abbot, it was a one and he was one.

802
00:48:01,600 --> 00:48:07,600
Speaker 9: A girl of sixteen years old. Abbot violently assaulted her

803
00:48:08,800 --> 00:48:11,640
Speaker 9: because of anger, and that was brought into the case

804
00:48:11,719 --> 00:48:14,360
Speaker 9: and it portrayed him in a very negative light. And

805
00:48:14,400 --> 00:48:17,600
Speaker 9: when when that verdict came in as guilty, he walked

806
00:48:17,640 --> 00:48:21,120
Speaker 9: away and said she did it. That testimony did it

807
00:48:21,160 --> 00:48:25,240
Speaker 9: to me. The same with Laski. The case was built

808
00:48:25,280 --> 00:48:30,319
Speaker 9: on rather circumstantial evidence, but Lise allowed the testimony of

809
00:48:30,560 --> 00:48:34,239
Speaker 9: an assault victim who accused Lasky of the assaulting, who

810
00:48:34,320 --> 00:48:37,800
Speaker 9: was never tried. That her testimony, very dramatic testimony, was

811
00:48:37,840 --> 00:48:41,080
Speaker 9: allowed into the trial, and that put jurors.

812
00:48:40,800 --> 00:48:41,319
Speaker 4: Over the top.

813
00:48:41,440 --> 00:48:45,600
Speaker 2: Gotcha, As we said, he was prosecuted successfully for the

814
00:48:45,680 --> 00:48:48,920
Speaker 2: murder of Barbara Bowman up there in Price Shell, and

815
00:48:49,000 --> 00:48:51,839
Speaker 2: he received the death penalty, but he was not put

816
00:48:51,880 --> 00:48:52,360
Speaker 2: to death.

817
00:48:52,840 --> 00:48:53,600
Speaker 1: Why was that?

818
00:48:55,440 --> 00:48:59,200
Speaker 9: Well, nineteen sixty eighth the Supreme Court ruled be a

819
00:48:59,239 --> 00:49:05,319
Speaker 9: death penalty constitutional. It took until nineteen seventy for that

820
00:49:05,440 --> 00:49:08,400
Speaker 9: then to come down to the Ohio Supreme Court for

821
00:49:09,080 --> 00:49:12,880
Speaker 9: Laski's case to be reheard under that decision, and his

822
00:49:13,719 --> 00:49:15,440
Speaker 9: sentence was commuted to life in prison.

823
00:49:15,560 --> 00:49:18,320
Speaker 4: Then in nineteen seventy for parole.

824
00:49:18,360 --> 00:49:21,680
Speaker 2: A number of times, one when I was prosecutor did

825
00:49:21,680 --> 00:49:25,840
Speaker 2: not get parole. I remember, kind of like a cop killer.

826
00:49:25,880 --> 00:49:29,320
Speaker 2: We got the community all ginned up to send letters

827
00:49:29,400 --> 00:49:31,279
Speaker 2: for the parole board, and he died in prison. I

828
00:49:31,320 --> 00:49:35,879
Speaker 2: believe in two thousand and seven, only have a minute

829
00:49:35,920 --> 00:49:39,000
Speaker 2: and a half or so left. I want to make sure, Dennis,

830
00:49:39,280 --> 00:49:42,040
Speaker 2: that you let people know how to get this book.

831
00:49:42,080 --> 00:49:44,680
Speaker 2: I'll tell you to make a great Christmas gift. It

832
00:49:44,800 --> 00:49:47,359
Speaker 2: was one I'm not just saying this. It was one

833
00:49:47,400 --> 00:49:50,759
Speaker 2: of the best books I ever read, right up there

834
00:49:50,800 --> 00:49:56,600
Speaker 2: with the Brick, a book by JT. Townsend. Just an easy,

835
00:49:56,760 --> 00:49:59,560
Speaker 2: good read. How can people get that book?

836
00:50:00,960 --> 00:50:01,759
Speaker 4: Well, thank you, Mike.

837
00:50:02,960 --> 00:50:06,640
Speaker 9: It's available and I'm working on getting it into Cincinnati

838
00:50:06,680 --> 00:50:11,880
Speaker 9: bookstores so it will be in in some in the

839
00:50:11,920 --> 00:50:15,840
Speaker 9: coming days. It's available on Amazon, but you can you

840
00:50:15,840 --> 00:50:17,880
Speaker 9: can order it online from any bookstore.

841
00:50:18,040 --> 00:50:18,360
Speaker 4: Okay.

842
00:50:19,120 --> 00:50:20,920
Speaker 9: You can go to your favorite bookstore and they can

843
00:50:21,000 --> 00:50:23,719
Speaker 9: order explore you, or you can go online.

844
00:50:24,640 --> 00:50:25,840
Speaker 4: It's available everywhere.

845
00:50:25,960 --> 00:50:29,200
Speaker 2: Great, Hey, listen, we're out of time. I really appreciate this.

846
00:50:29,440 --> 00:50:32,440
Speaker 2: There's never enough time. We could probably take a couple hours.

847
00:50:32,480 --> 00:50:37,560
Speaker 2: But congratulations on the book. It is fantastic, I hope

848
00:50:37,600 --> 00:50:39,239
Speaker 2: and I bet a lot of people go out and

849
00:50:39,280 --> 00:50:39,560
Speaker 2: get it.

850
00:50:39,600 --> 00:50:42,000
Speaker 1: And again, it really would make a good.

851
00:50:41,920 --> 00:50:45,000
Speaker 2: Christmas present for people that are familiar with it and

852
00:50:46,000 --> 00:50:49,240
Speaker 2: experienced it in one way or the other. But Dennis Whitehead,

853
00:50:49,280 --> 00:50:51,320
Speaker 2: thank you so much for joining us this morning.

854
00:50:52,800 --> 00:50:54,040
Speaker 9: Mike, thank you very much.

855
00:50:54,160 --> 00:50:58,000
Speaker 2: Okay, my pleasure, all right, And again, you just can't

856
00:50:58,040 --> 00:51:02,359
Speaker 2: convey what the effect on this town was of this guy.

857
00:51:02,719 --> 00:51:05,240
Speaker 2: And I think mel Ruger he caught a little grief,

858
00:51:05,280 --> 00:51:09,240
Speaker 2: but I think his decision to not prosecute the others

859
00:51:09,280 --> 00:51:12,600
Speaker 2: after the conviction on the Bowman murder was a good one.

860
00:51:12,960 --> 00:51:17,399
Speaker 2: So anyway, very good book. If you're interested, you ought

861
00:51:17,400 --> 00:51:20,840
Speaker 2: to get it. Hey, listen, when we get back, what

862
00:51:21,200 --> 00:51:27,000
Speaker 2: an absolute debacle with the comy and Letitia James now

863
00:51:27,680 --> 00:51:32,799
Speaker 2: non prosecutions. DJ is not looking good on this one,

864
00:51:32,880 --> 00:51:36,000
Speaker 2: and we're going to talk to our legal expert Steve

865
00:51:36,080 --> 00:51:39,640
Speaker 2: Gooden about that when we get back. Mike Allen in

866
00:51:39,680 --> 00:51:47,760
Speaker 2: for Sloaney seven hundred WLW. Hey, we're back Mike Allen

867
00:51:47,920 --> 00:51:51,759
Speaker 2: in for Sloaney. Well, I'll tell you what if you

868
00:51:51,800 --> 00:51:55,040
Speaker 2: follow the news at all, you know the situation with

869
00:51:55,440 --> 00:52:00,359
Speaker 2: one James Komy and Leticia James. Boy, they were on

870
00:52:00,400 --> 00:52:04,600
Speaker 2: Trump's list. The federal court. The federal judge, which I

871
00:52:04,600 --> 00:52:09,280
Speaker 2: believe was a Clinton appointee or it is a buying appointee.

872
00:52:09,000 --> 00:52:10,040
Speaker 1: Dismissed the cases.

873
00:52:10,960 --> 00:52:12,920
Speaker 2: I don't know whether they can be refold or not,

874
00:52:13,280 --> 00:52:16,120
Speaker 2: but I'm sure our next guest is talking about legal

875
00:52:16,200 --> 00:52:17,400
Speaker 2: analyst Steve Goodin.

876
00:52:17,800 --> 00:52:19,760
Speaker 1: Steve, thanks for joining us this morning.

877
00:52:21,040 --> 00:52:21,960
Speaker 4: Hey, good morning, Mike.

878
00:52:22,560 --> 00:52:26,960
Speaker 2: Not DOJ's finest hour, was it?

879
00:52:26,960 --> 00:52:29,719
Speaker 4: It sure wasn't you know. You know, there's an old

880
00:52:29,760 --> 00:52:32,479
Speaker 4: saying that you know that revenge is a dish best

881
00:52:32,520 --> 00:52:36,120
Speaker 4: served cold. And these guys came in very, very hot

882
00:52:36,760 --> 00:52:42,279
Speaker 4: and tried to indict Comy and Leticia James using sort

883
00:52:42,320 --> 00:52:46,960
Speaker 4: of an interim prosecutor who who the judges found really

884
00:52:47,160 --> 00:52:51,560
Speaker 4: wasn't properly appointed in the role. And the problem the

885
00:52:51,600 --> 00:52:54,640
Speaker 4: Trump folks have is I think the judge is probably right.

886
00:52:55,000 --> 00:52:56,839
Speaker 4: You know, she was an interum. You can have an

887
00:52:56,880 --> 00:53:00,160
Speaker 4: interim US attorney for one hundred and twenty days, is

888
00:53:00,200 --> 00:53:02,200
Speaker 4: the one hundred and twenty days had run. They tried

889
00:53:02,200 --> 00:53:05,160
Speaker 4: to make her kind of an acting US attorney. She

890
00:53:05,280 --> 00:53:08,200
Speaker 4: was the only attorney in the room. Her name is

891
00:53:08,760 --> 00:53:11,280
Speaker 4: hann Again Ashley hand Again, a former White House lawyer.

892
00:53:11,719 --> 00:53:14,839
Speaker 4: She had no criminal experience, and it looks for all

893
00:53:14,880 --> 00:53:17,600
Speaker 4: the world like she was sitting there specifically by the

894
00:53:17,680 --> 00:53:20,279
Speaker 4: Trump folks and by Pam Bondi to indict these two.

895
00:53:21,520 --> 00:53:24,799
Speaker 4: So in all likelihood, when she was actually in the

896
00:53:25,040 --> 00:53:28,319
Speaker 4: grand jury as the loan attorney presenting the cases for

897
00:53:28,440 --> 00:53:34,239
Speaker 4: indictment against James and Komy, she really her paperwork had expired, basically,

898
00:53:35,200 --> 00:53:39,000
Speaker 4: so they tossed the indictments. There is a pretty good

899
00:53:39,120 --> 00:53:44,799
Speaker 4: argument they can be refiled, But with Comy it's going

900
00:53:44,840 --> 00:53:46,200
Speaker 4: to be a little close. I mean, he has a

901
00:53:46,200 --> 00:53:49,799
Speaker 4: five year statute of limitations. The statements he made allegedly

902
00:53:49,840 --> 00:53:54,400
Speaker 4: were back in twenty eighteen. I think he did mislead Congress.

903
00:53:54,400 --> 00:53:57,239
Speaker 4: Whether it whether now that we know more about the

904
00:53:57,320 --> 00:54:00,759
Speaker 4: underlying case, whether it actually rises to a criminal intentional

905
00:54:01,200 --> 00:54:04,319
Speaker 4: misleading at Congress, we don't know. But he certainly made

906
00:54:04,320 --> 00:54:10,280
Speaker 4: statements about the Clinton FBI leaks that were misleading to Congress. Yeah,

907
00:54:10,440 --> 00:54:12,520
Speaker 4: but that's kind of where really really where that is.

908
00:54:12,520 --> 00:54:14,600
Speaker 4: It's going to be fought out for a while. The

909
00:54:14,920 --> 00:54:18,080
Speaker 4: Trump people are going to take an appeal. Oddly enough,

910
00:54:18,080 --> 00:54:20,080
Speaker 4: they probably, it seems to me, have a better chance

911
00:54:20,080 --> 00:54:23,680
Speaker 4: of getting Letitia James' case refiled than Comy's. But also

912
00:54:23,760 --> 00:54:27,120
Speaker 4: that was the least serious of the two. So we'll

913
00:54:27,120 --> 00:54:30,279
Speaker 4: see what happens. But there's more more fighting to go.

914
00:54:30,560 --> 00:54:34,040
Speaker 4: But I think Trump and his books lose this round

915
00:54:35,440 --> 00:54:38,520
Speaker 4: on a technicality, but a pretty significant yeah.

916
00:54:38,560 --> 00:54:40,560
Speaker 2: And I just think the way it was handled was

917
00:54:40,600 --> 00:54:46,600
Speaker 2: an abomination. Trump put out a truth Social post. It

918
00:54:46,640 --> 00:54:50,839
Speaker 2: was about two or three days I believe before Pam,

919
00:54:50,920 --> 00:54:53,719
Speaker 2: Bondi and d OJ took some action on this thing,

920
00:54:54,400 --> 00:54:56,279
Speaker 2: and I just just bear with me. I want to

921
00:54:56,320 --> 00:54:59,000
Speaker 2: read part of it at least. Okay, this is from

922
00:54:59,000 --> 00:55:03,359
Speaker 2: Trump on truth Social Pam. It's like it's addressed to her.

923
00:55:03,960 --> 00:55:07,240
Speaker 2: I have received over three hundred statements and posts saying

924
00:55:07,280 --> 00:55:10,960
Speaker 2: that essentially same old story as last time, all talked,

925
00:55:11,000 --> 00:55:14,880
Speaker 2: no action, nothing is being done. What about Kmy, Adam,

926
00:55:14,920 --> 00:55:19,400
Speaker 2: Shifty Shift, Letitia, They're all guilty as hell, but nothing

927
00:55:19,719 --> 00:55:22,799
Speaker 2: is going to be done. And then we almost put

928
00:55:22,800 --> 00:55:27,760
Speaker 2: a Democrat supported US attorney in Virginia with a really

929
00:55:27,800 --> 00:55:32,200
Speaker 2: bad Republican past. Anyway, he goes on to say, last sentence,

930
00:55:32,600 --> 00:55:35,920
Speaker 2: they impeached me twice and indicted me five times over nothing.

931
00:55:36,160 --> 00:55:39,240
Speaker 1: I couldn't agree. More justice must be served.

932
00:55:39,280 --> 00:55:42,839
Speaker 2: So I don't know, you know, I'm loath to criticize

933
00:55:42,880 --> 00:55:44,160
Speaker 2: the president, but I will.

934
00:55:44,360 --> 00:55:45,480
Speaker 1: I think it's appropriate.

935
00:55:46,239 --> 00:55:49,040
Speaker 2: And maybe it's a lawyer and me, Steve, but as

936
00:55:49,120 --> 00:55:56,040
Speaker 2: an attorney, did that offend you? Because it's just a blatant,

937
00:55:55,920 --> 00:55:56,960
Speaker 2: a blatant.

938
00:55:56,600 --> 00:55:59,360
Speaker 1: Ploy to get these two prosecuted.

939
00:55:59,640 --> 00:56:02,919
Speaker 2: The norm the regular prosecutor wouldn't do it, so he's

940
00:56:02,960 --> 00:56:04,840
Speaker 2: got to go out and get a different one.

941
00:56:05,200 --> 00:56:06,680
Speaker 1: Am I overstating the case?

942
00:56:08,280 --> 00:56:10,680
Speaker 4: No? I mean it's really reminiscent in a way of,

943
00:56:10,760 --> 00:56:12,920
Speaker 4: you know, kind of what happened, you know at the

944
00:56:13,080 --> 00:56:16,520
Speaker 4: end of Watergate, you know, when Nixon couldn't find that

945
00:56:16,600 --> 00:56:19,600
Speaker 4: he wanted to fire the special prosecutor and they kept Goody,

946
00:56:19,800 --> 00:56:22,160
Speaker 4: and there's that famous light on the Nixon James who says,

947
00:56:22,160 --> 00:56:25,080
Speaker 4: I don't you know, just keep firing people until someone

948
00:56:25,120 --> 00:56:28,239
Speaker 4: will go fire him, you know, And they said, I

949
00:56:28,239 --> 00:56:30,560
Speaker 4: don't care if we're down to the janitor at that point,

950
00:56:30,800 --> 00:56:33,480
Speaker 4: you know, I want some of the fire. So when

951
00:56:33,480 --> 00:56:37,080
Speaker 4: it's all about the result you want and you're the executive,

952
00:56:37,640 --> 00:56:40,279
Speaker 4: that is a really bad and dangerous place for us

953
00:56:40,280 --> 00:56:43,279
Speaker 4: to be in a republic. And everyone says we're a democracy,

954
00:56:43,320 --> 00:56:46,320
Speaker 4: We're really a republic and we have a very fine

955
00:56:46,400 --> 00:56:50,080
Speaker 4: balancing of the three branches. And it really is a

956
00:56:50,120 --> 00:56:52,560
Speaker 4: bad day those posts he puts out. You know, he

957
00:56:52,719 --> 00:56:56,200
Speaker 4: is his own worst enemy, the president is on this rhetoric.

958
00:56:57,080 --> 00:57:01,880
Speaker 4: Any chance of having anything that looked like an impartial

959
00:57:01,960 --> 00:57:06,279
Speaker 4: and real indictment here of either of these two, you know,

960
00:57:06,480 --> 00:57:08,520
Speaker 4: is you know, it was just out the window the

961
00:57:08,560 --> 00:57:11,080
Speaker 4: second he made that post. I mean, even if the

962
00:57:11,160 --> 00:57:13,920
Speaker 4: indictment had somehow, the indictments had somehow stood up and

963
00:57:14,000 --> 00:57:16,840
Speaker 4: gone to trial, I think you know that that would

964
00:57:16,840 --> 00:57:18,880
Speaker 4: have been something that would have been presented to the

965
00:57:18,960 --> 00:57:21,919
Speaker 4: jury and really cast out on whether or not this

966
00:57:22,080 --> 00:57:25,640
Speaker 4: was this was impartial. And I mean, look, I understand

967
00:57:25,880 --> 00:57:28,440
Speaker 4: that I've never been or will be president of the

968
00:57:28,560 --> 00:57:32,600
Speaker 4: United States, but I can only imagine the president's anger

969
00:57:32,760 --> 00:57:35,160
Speaker 4: at the way he was treated. There is no question,

970
00:57:35,440 --> 00:57:38,840
Speaker 4: you know, you lover hate Trump. I think most lawyers

971
00:57:38,880 --> 00:57:42,840
Speaker 4: would agree that the system was weaponized against him and

972
00:57:42,920 --> 00:57:47,320
Speaker 4: perverted against him in ways that just we're an abomination

973
00:57:47,480 --> 00:57:49,720
Speaker 4: as well. The while he was out of office, I

974
00:57:49,760 --> 00:57:53,200
Speaker 4: mean the particularly the Latitia James case, something that kind

975
00:57:53,240 --> 00:57:55,800
Speaker 4: of case that had never been brought New York State.

976
00:57:55,840 --> 00:57:58,720
Speaker 4: The statute had never been used that way. They were

977
00:57:58,760 --> 00:58:01,120
Speaker 4: really just making stuff up to get him. And I

978
00:58:01,240 --> 00:58:04,080
Speaker 4: get that he's angry, but my god, he won the

979
00:58:04,120 --> 00:58:06,600
Speaker 4: next election. You'd think that that would be enough to

980
00:58:07,640 --> 00:58:10,160
Speaker 4: you know, he's president again. I mean that that you

981
00:58:10,200 --> 00:58:12,640
Speaker 4: would think that would would suit some of those wounds.

982
00:58:12,640 --> 00:58:14,360
Speaker 4: But it looks like he does want to go back

983
00:58:14,400 --> 00:58:16,920
Speaker 4: after these folks. And look, Tony, and I get the

984
00:58:16,960 --> 00:58:19,400
Speaker 4: anger at Komy. I mean that when you when you

985
00:58:19,440 --> 00:58:23,360
Speaker 4: really scrape it all away. Comy was asked before Congress,

986
00:58:24,680 --> 00:58:28,440
Speaker 4: you know, did you leak to someone at the FBI

987
00:58:28,640 --> 00:58:30,520
Speaker 4: or tell them to leak at the FBI? And his

988
00:58:30,640 --> 00:58:33,480
Speaker 4: answer was no. But then we now learned that he

989
00:58:33,520 --> 00:58:36,520
Speaker 4: actually did give the leak to an FBI contractor who

990
00:58:36,560 --> 00:58:38,320
Speaker 4: was a friend of his. And he's kind of hanging

991
00:58:38,360 --> 00:58:41,200
Speaker 4: on this sort of Bill Clinton kind of word persing

992
00:58:41,240 --> 00:58:43,440
Speaker 4: thing of like, well, he wasn't a full time employee

993
00:58:43,440 --> 00:58:46,040
Speaker 4: even though he worked there, so and I understand how

994
00:58:46,120 --> 00:58:48,480
Speaker 4: frustrating and aggravating that would be when you see that

995
00:58:48,520 --> 00:58:51,200
Speaker 4: one of your enemies and someone who has been weaponizing

996
00:58:51,200 --> 00:58:54,400
Speaker 4: the justice departments doing this sort of thing. But that's

997
00:58:54,440 --> 00:58:56,560
Speaker 4: really not a not a great thing to hang a

998
00:58:56,560 --> 00:59:00,000
Speaker 4: criminal case on. And it really does, I mean, like really,

999
00:59:00,120 --> 00:59:02,840
Speaker 4: what it looks like here is he finally found someone

1000
00:59:02,880 --> 00:59:05,600
Speaker 4: who was willing to put their law license on the

1001
00:59:05,640 --> 00:59:09,080
Speaker 4: line and go in and jam this indictment through. And

1002
00:59:09,200 --> 00:59:14,080
Speaker 4: it's notable. Someone who's never i guess said zero criminal practice, experience,

1003
00:59:14,360 --> 00:59:17,920
Speaker 4: defense or prosecution actually went in, it spoke to the

1004
00:59:17,920 --> 00:59:20,360
Speaker 4: grand jury and I and this is rare. It wasn't

1005
00:59:20,400 --> 00:59:22,960
Speaker 4: even now we know it wasn't even unanimous at the

1006
00:59:22,960 --> 00:59:26,080
Speaker 4: grand jury. There were grand juries jurors, even under these

1007
00:59:26,120 --> 00:59:28,480
Speaker 4: weird circumstances, who were saying, we don't think we should

1008
00:59:28,520 --> 00:59:33,000
Speaker 4: indict these two. Yeah. So, I mean, it's really snaked

1009
00:59:33,000 --> 00:59:36,720
Speaker 4: that from the beginning from the truth social post all

1010
00:59:36,760 --> 00:59:39,600
Speaker 4: the way down to the selection of this particular attorney

1011
00:59:39,600 --> 00:59:42,560
Speaker 4: who didn't have any kind of experience, to the fact

1012
00:59:42,560 --> 00:59:45,000
Speaker 4: that she was the only attorney in the room, which

1013
00:59:45,040 --> 00:59:47,040
Speaker 4: is also, as you know from grand jury days, kind

1014
00:59:47,040 --> 00:59:50,240
Speaker 4: of unusual. Usually you have not always, but you have

1015
00:59:50,520 --> 00:59:54,320
Speaker 4: at least a paralegal or somebody else, you know, in

1016
00:59:54,400 --> 00:59:56,880
Speaker 4: the room with you privately with the grand jury to

1017
00:59:57,480 --> 01:00:00,800
Speaker 4: kind of fight things out. So everything about it just stinks,

1018
01:00:01,480 --> 01:00:03,480
Speaker 4: and in a weird way, they're kind of lucky. I

1019
01:00:03,520 --> 01:00:06,280
Speaker 4: think that the judge pulled the trigger, or you know,

1020
01:00:06,200 --> 01:00:09,800
Speaker 4: you pulled these indictments on the early side, rather than

1021
01:00:10,360 --> 01:00:14,120
Speaker 4: let all this get fleshed out in really gruesome detail,

1022
01:00:14,240 --> 01:00:16,800
Speaker 4: either through a motion practice or a trial. I don't

1023
01:00:16,800 --> 01:00:19,600
Speaker 4: think it would have reflected well on anybody well.

1024
01:00:19,400 --> 01:00:21,840
Speaker 2: You know. I mean, maybe it's a lawyer in me,

1025
01:00:21,880 --> 01:00:25,240
Speaker 2: as I said, But the minute I saw that truth

1026
01:00:25,400 --> 01:00:29,240
Speaker 2: social post, I thought, oh my god, this is going

1027
01:00:29,320 --> 01:00:34,160
Speaker 2: to come back and boomerang. I get his anger, and buddy,

1028
01:00:34,400 --> 01:00:37,360
Speaker 2: I mean, if anybody has a right to be pot

1029
01:00:37,440 --> 01:00:40,880
Speaker 2: about the way they treated him, he does. And you know,

1030
01:00:40,920 --> 01:00:45,200
Speaker 2: I'm also a realist about lawfare, you know, politics, Steve,

1031
01:00:45,480 --> 01:00:48,400
Speaker 2: somebody does something to you, by god, you're going to

1032
01:00:48,440 --> 01:00:50,880
Speaker 2: do it back to them. So I really don't have

1033
01:00:50,920 --> 01:00:54,400
Speaker 2: a problem with that, But why telegraph it. I mean,

1034
01:00:55,160 --> 01:00:57,240
Speaker 2: I guess there's probably.

1035
01:00:56,760 --> 01:00:59,480
Speaker 1: No one, not even millenia.

1036
01:00:59,040 --> 01:01:01,800
Speaker 2: Who could say whoa WHOA? Don't send that out. You know,

1037
01:01:02,440 --> 01:01:05,440
Speaker 2: it just it looks horrible. Let me ask you this.

1038
01:01:05,480 --> 01:01:07,440
Speaker 2: I guess it's a long way of asking you a question.

1039
01:01:08,000 --> 01:01:10,960
Speaker 2: Have we've seen the last of this thing? I know

1040
01:01:11,000 --> 01:01:14,440
Speaker 2: Trump won't let it go, but do you think that

1041
01:01:14,680 --> 01:01:17,520
Speaker 2: you know they're going to reindict and candem It was

1042
01:01:17,560 --> 01:01:19,800
Speaker 2: a dismissal without prejudice.

1043
01:01:19,960 --> 01:01:22,520
Speaker 1: I didn't get a chance to look at it the decision.

1044
01:01:23,120 --> 01:01:26,080
Speaker 4: Uh yeah, yeah, it doesn't. It doesn't speak to prejudice

1045
01:01:26,080 --> 01:01:27,960
Speaker 4: at all. He just tosses it. And then you know,

1046
01:01:28,000 --> 01:01:30,640
Speaker 4: there's a statute and I think it's eten USC three

1047
01:01:30,680 --> 01:01:34,360
Speaker 4: two two eight that basically says, you know you you know,

1048
01:01:34,760 --> 01:01:39,120
Speaker 4: the statute of limitations is sort of told under certain circumstances,

1049
01:01:39,400 --> 01:01:41,800
Speaker 4: you know, when there's when there's issues and questions about

1050
01:01:41,800 --> 01:01:44,280
Speaker 4: the indictment. But all that being said, I think they

1051
01:01:44,320 --> 01:01:46,680
Speaker 4: were they were right against the line of being out

1052
01:01:46,720 --> 01:01:51,120
Speaker 4: of time on Komy anyway. I mean, because the statement's

1053
01:01:51,160 --> 01:01:54,160
Speaker 4: tackling the way back to twenty eighteen. Uh and there's

1054
01:01:54,160 --> 01:01:57,880
Speaker 4: a five year statute of limitations there so, and there's

1055
01:01:58,080 --> 01:02:02,640
Speaker 4: also an argument because that even though it's told typically

1056
01:02:02,720 --> 01:02:05,200
Speaker 4: in a situation like this, because there's prosecutor on this

1057
01:02:05,400 --> 01:02:09,520
Speaker 4: conduct that's being alleged. You don't get that benefit of

1058
01:02:09,560 --> 01:02:11,920
Speaker 4: the doubt, and you know, the timeline doesn't stay. So

1059
01:02:12,320 --> 01:02:14,680
Speaker 4: I mean, they're going to appeal. Bondie's already said she's

1060
01:02:14,680 --> 01:02:16,480
Speaker 4: going to appeal. But I particularly lose it and this

1061
01:02:16,600 --> 01:02:19,520
Speaker 4: really is the end of this, and if they're smart,

1062
01:02:19,560 --> 01:02:22,000
Speaker 4: they let it go. And again, this is a situation.

1063
01:02:23,400 --> 01:02:26,720
Speaker 4: It's amazing to me because you've seen it in state courts,

1064
01:02:26,760 --> 01:02:29,160
Speaker 4: and I've seen it state courts where whether it be

1065
01:02:29,200 --> 01:02:32,120
Speaker 4: police officers, prosecutors, whatever, you let your emotions get the

1066
01:02:32,160 --> 01:02:35,680
Speaker 4: better of you and bad decisions get made. It's amazing

1067
01:02:35,720 --> 01:02:37,760
Speaker 4: to me that you still see that human element and

1068
01:02:37,800 --> 01:02:40,160
Speaker 4: all these emotions coming into play all the way up

1069
01:02:40,680 --> 01:02:42,680
Speaker 4: you know, to the presidency. I mean, this is just

1070
01:02:42,720 --> 01:02:45,680
Speaker 4: a classic case of a guy getting really mad and

1071
01:02:45,760 --> 01:02:48,160
Speaker 4: telling the prosecutors to do something they shouldn't have done.

1072
01:02:48,200 --> 01:02:51,040
Speaker 4: They probably should have should have held their ground. I

1073
01:02:51,080 --> 01:02:53,920
Speaker 4: can only imagine what the conversations were. I don't know

1074
01:02:53,920 --> 01:02:56,560
Speaker 4: about with Milania. But you know, Pan Bondy is a

1075
01:02:56,600 --> 01:02:59,960
Speaker 4: real prosecutor. You know, Pambody is not just some politic

1076
01:03:00,080 --> 01:03:02,280
Speaker 4: co actor. She's really done the job and she's the

1077
01:03:02,360 --> 01:03:06,400
Speaker 4: ag of Florida and a well regarded one. So and

1078
01:03:06,680 --> 01:03:08,720
Speaker 4: the amount of time this took, I can only imagine

1079
01:03:08,760 --> 01:03:11,919
Speaker 4: there were many many trips down to the West Wing

1080
01:03:12,040 --> 01:03:14,200
Speaker 4: to try to talk them out of this, uh and

1081
01:03:14,240 --> 01:03:16,520
Speaker 4: to try to get him to stand down. But they

1082
01:03:16,560 --> 01:03:19,320
Speaker 4: eventually he said, it's like it's like in Watergate. They

1083
01:03:19,360 --> 01:03:23,080
Speaker 4: finally found in Watergate, the tribute question. It was finally

1084
01:03:23,160 --> 01:03:25,640
Speaker 4: Robert Young, Robert Borke, who was the guy that was

1085
01:03:25,840 --> 01:03:27,240
Speaker 4: fired Archibald.

1086
01:03:28,840 --> 01:03:29,360
Speaker 1: At the time.

1087
01:03:29,640 --> 01:03:32,439
Speaker 4: That's right. Yeah, they kept firing people and ele leading

1088
01:03:32,520 --> 01:03:34,760
Speaker 4: them to acting Attorney General just to fire, you know

1089
01:03:34,800 --> 01:03:37,920
Speaker 4: it just like could fire the special prosecutor, you know,

1090
01:03:37,960 --> 01:03:40,040
Speaker 4: and here they finally you know, the the you know,

1091
01:03:40,120 --> 01:03:43,160
Speaker 4: the the Robert bork Here is this Hannigan lady who

1092
01:03:43,560 --> 01:03:45,640
Speaker 4: I guess had briefly worked in the White House as

1093
01:03:45,680 --> 01:03:48,680
Speaker 4: a civil attorney, and then he made her the you know,

1094
01:03:48,800 --> 01:03:51,960
Speaker 4: the acting or interim and then acting attorney up in

1095
01:03:51,960 --> 01:03:54,800
Speaker 4: in Virginia that has in Wooden Pert of Virginia, that

1096
01:03:54,880 --> 01:03:58,160
Speaker 4: has a jurisdiction over a lot of the DC stuff.

1097
01:03:58,320 --> 01:04:01,080
Speaker 4: So and she was willing to go do it. So,

1098
01:04:01,280 --> 01:04:03,880
Speaker 4: I mean I also predicted in some way or fashion,

1099
01:04:04,000 --> 01:04:06,440
Speaker 4: someone's going to go after her law license over this.

1100
01:04:07,320 --> 01:04:08,840
Speaker 4: I was going to that's probably going to be the

1101
01:04:08,880 --> 01:04:11,640
Speaker 4: biggest problem. Yeah, I think you can count on that.

1102
01:04:11,760 --> 01:04:15,520
Speaker 2: You know, somebody who was criticizing the whole thing. I

1103
01:04:15,600 --> 01:04:19,760
Speaker 2: kind of likened it to just a citizen coming off

1104
01:04:19,760 --> 01:04:24,520
Speaker 2: the street walking into a grand jury room and getting

1105
01:04:24,600 --> 01:04:28,680
Speaker 2: an indictment because of the technical stuff. But what do

1106
01:04:28,720 --> 01:04:31,760
Speaker 2: you think is to become of Lindsay Halligan? Apparently from

1107
01:04:31,880 --> 01:04:34,400
Speaker 2: what I read, she's a very good civil lawyer, but

1108
01:04:34,800 --> 01:04:36,880
Speaker 2: had no business in the grand jury room.

1109
01:04:38,080 --> 01:04:41,200
Speaker 4: Oh yeah, there's look, I know brilliant civil lawyers who

1110
01:04:41,240 --> 01:04:43,520
Speaker 4: really you know, you know who if you sent them

1111
01:04:43,520 --> 01:04:46,200
Speaker 4: into the grand jury today with no training would have

1112
01:04:47,400 --> 01:04:49,960
Speaker 4: you know, it would flail. I think, Mike, I worked

1113
01:04:50,000 --> 01:04:51,479
Speaker 4: for you. I don't think I was allowed to walk

1114
01:04:51,520 --> 01:04:54,760
Speaker 4: even near the grand jury room for two to three years.

1115
01:04:54,920 --> 01:04:58,160
Speaker 4: I think, you know, you really, you know, really got

1116
01:04:58,200 --> 01:04:59,880
Speaker 4: to know what you what you're doing. You really have

1117
01:05:00,080 --> 01:05:02,680
Speaker 4: to understand the criminal law. There's a lot of nuances

1118
01:05:02,720 --> 01:05:04,960
Speaker 4: to it, from being able to count the time on

1119
01:05:05,000 --> 01:05:08,000
Speaker 4: the statute to what evidence is admissible and so forth.

1120
01:05:08,480 --> 01:05:10,640
Speaker 4: So yeah, being brilliant's got nothing to do with it.

1121
01:05:10,640 --> 01:05:13,040
Speaker 4: It's about being trained. I mean I would think that,

1122
01:05:13,200 --> 01:05:15,400
Speaker 4: you know the hand again. I mean, I think there

1123
01:05:15,480 --> 01:05:18,520
Speaker 4: will be some action against her law license. Probably when

1124
01:05:18,600 --> 01:05:20,680
Speaker 4: the dust settles here, they're going to lose the appeal.

1125
01:05:21,360 --> 01:05:23,640
Speaker 4: But she's somebody that looks to me to be kind

1126
01:05:23,640 --> 01:05:26,080
Speaker 4: of ready made for TV. I would expect to see

1127
01:05:26,120 --> 01:05:29,520
Speaker 4: her out of politics pretty quickly. I mean she looks

1128
01:05:29,520 --> 01:05:32,280
Speaker 4: like a model. I mean, if there was ever like

1129
01:05:33,320 --> 01:05:36,560
Speaker 4: a perfect profile for a Fox News TV commentator, it

1130
01:05:36,600 --> 01:05:39,720
Speaker 4: would be miss Annagan. Okay, So she does have that

1131
01:05:39,800 --> 01:05:42,040
Speaker 4: look a lot of the women have in the Trump world.

1132
01:05:42,200 --> 01:05:44,560
Speaker 4: So she has that kind of Melania kind of vibe.

1133
01:05:44,640 --> 01:05:47,320
Speaker 4: So I always see her now that she has to

1134
01:05:47,320 --> 01:05:50,360
Speaker 4: obtain some notoriety, bouncing out of politics pretty quick into

1135
01:05:50,360 --> 01:05:52,080
Speaker 4: some media role will be my guy. I have no

1136
01:05:52,320 --> 01:05:54,160
Speaker 4: reason to believe that, just my guess.

1137
01:05:54,360 --> 01:05:56,480
Speaker 1: Yeah, the whole thing is a big old cluster. You

1138
01:05:56,520 --> 01:05:56,760
Speaker 1: know what.

1139
01:05:57,160 --> 01:06:01,400
Speaker 2: Hey, we got about three minutes or so new things

1140
01:06:01,440 --> 01:06:04,680
Speaker 2: happening on the PG sitting field front. Can you tell

1141
01:06:04,800 --> 01:06:08,760
Speaker 2: us about that because I missed it?

1142
01:06:08,880 --> 01:06:09,640
Speaker 1: Was it motions?

1143
01:06:09,760 --> 01:06:12,280
Speaker 4: Yeah? There were some Yeah, there were a flory of

1144
01:06:12,360 --> 01:06:16,480
Speaker 4: violins this week. It's really interesting, you know PG, I said, Ville,

1145
01:06:16,480 --> 01:06:21,240
Speaker 4: you know, was convicted of basic classic quid pro quo

1146
01:06:21,440 --> 01:06:24,920
Speaker 4: corruption by a federal jury here in Cincinnati and sentenced

1147
01:06:24,920 --> 01:06:28,200
Speaker 4: to I think fourteen months in prison, served about five

1148
01:06:28,280 --> 01:06:30,880
Speaker 4: or six of them. You know, it was fighting it

1149
01:06:30,920 --> 01:06:33,480
Speaker 4: on appeal and then just sort of out of left field.

1150
01:06:34,000 --> 01:06:36,680
Speaker 4: Although Washington it seemed out of left field, we now

1151
01:06:36,720 --> 01:06:39,640
Speaker 4: know there was a lot of lobbying going on the

1152
01:06:40,240 --> 01:06:44,000
Speaker 4: Trump Partington basically sort of you know, there's you know,

1153
01:06:44,240 --> 01:06:46,840
Speaker 4: and Trump has been pardoning a lot of folks around

1154
01:06:46,880 --> 01:06:49,960
Speaker 4: the county or country that he feels are were wrongfully

1155
01:06:50,000 --> 01:06:52,360
Speaker 4: convicted in some of these public corruption cases where he

1156
01:06:52,400 --> 01:06:56,200
Speaker 4: thought entrapment was used. And the FBI tactics are pretty tough,

1157
01:06:56,560 --> 01:07:00,360
Speaker 4: but a very very rare kind of circumstance to your

1158
01:07:00,400 --> 01:07:04,320
Speaker 4: PG is pursuing his appeal even though he has been pardoned.

1159
01:07:08,080 --> 01:07:10,919
Speaker 4: It is and it's kind of interesting, and we don't

1160
01:07:10,920 --> 01:07:12,880
Speaker 4: know whether or not the Supreme Court is going to

1161
01:07:12,920 --> 01:07:16,320
Speaker 4: truly entertain it. And what's interesting here is the Trump

1162
01:07:17,080 --> 01:07:19,960
Speaker 4: Justice Department has sort of now taken a different position.

1163
01:07:20,040 --> 01:07:22,080
Speaker 4: They want this to be over with. At this point

1164
01:07:22,080 --> 01:07:24,560
Speaker 4: of view is look, we don't want you to keep

1165
01:07:24,600 --> 01:07:28,360
Speaker 4: fighting here. It's going to impact other convictions, you know,

1166
01:07:28,400 --> 01:07:30,440
Speaker 4: and PG has made it very blue. He wants to,

1167
01:07:31,240 --> 01:07:33,240
Speaker 4: you know, he wants to change the law around this.

1168
01:07:33,480 --> 01:07:37,000
Speaker 4: He thinks that the whole quid pro quo corruption law,

1169
01:07:37,040 --> 01:07:40,800
Speaker 4: particularly the Supreme Court case called McCormick that basically says, look,

1170
01:07:41,480 --> 01:07:44,200
Speaker 4: you know, if you accept the campaign contribution in exchange

1171
01:07:44,240 --> 01:07:48,000
Speaker 4: for your position on a particular vote or a particular project,

1172
01:07:48,040 --> 01:07:50,680
Speaker 4: that that is illegal. And that's been the law since

1173
01:07:50,760 --> 01:07:53,880
Speaker 4: nineteen ninety one. And he wants to go after that

1174
01:07:53,960 --> 01:07:56,400
Speaker 4: and address that. And it's very interesting that it feels

1175
01:07:56,440 --> 01:07:59,960
Speaker 4: like when you read these briefs, basically, the Justice Department

1176
01:08:00,000 --> 01:08:03,400
Speaker 4: and it clearly feels kind of burned by Sittenfeld because

1177
01:08:03,400 --> 01:08:05,240
Speaker 4: they're like, you know, we got you, you got the

1178
01:08:05,280 --> 01:08:07,840
Speaker 4: pardon pal, you know, but now you're still fighting us,

1179
01:08:08,120 --> 01:08:11,120
Speaker 4: and not just that you want you want your conviction vacated.

1180
01:08:11,200 --> 01:08:13,760
Speaker 4: You want it to be like it never occurred. And

1181
01:08:14,080 --> 01:08:17,160
Speaker 4: they do seem to really be going after this McCormick decision,

1182
01:08:17,600 --> 01:08:19,439
Speaker 4: which has really been the law of the land. And

1183
01:08:19,640 --> 01:08:21,640
Speaker 4: I always felt, and I know there's a lot of

1184
01:08:21,680 --> 01:08:23,840
Speaker 4: conservative commentators who are on the other side of this,

1185
01:08:24,320 --> 01:08:26,640
Speaker 4: I always felt it was a common sense line to

1186
01:08:26,720 --> 01:08:30,200
Speaker 4: draw because otherwise, you know you're going to be sitting

1187
01:08:30,240 --> 01:08:33,240
Speaker 4: down with donors and talking about specific votes. And if

1188
01:08:33,280 --> 01:08:34,639
Speaker 4: you're in the state House.

1189
01:08:34,479 --> 01:08:38,479
Speaker 2: You're right, you're right, and unfortunately we are out of time.

1190
01:08:38,920 --> 01:08:41,320
Speaker 2: I watched a lot of the trial for Channel nineteen.

1191
01:08:41,479 --> 01:08:44,320
Speaker 2: I know you did as well as a legal analyst,

1192
01:08:44,360 --> 01:08:48,280
Speaker 2: and I don't know. I mean, I don't think he

1193
01:08:48,400 --> 01:08:50,880
Speaker 2: crossed the line. I don't think anybody knows what the

1194
01:08:50,880 --> 01:08:53,280
Speaker 2: heck the line is. But at any rate, Steve, I

1195
01:08:53,280 --> 01:08:55,600
Speaker 2: appreciate you calling in and not filling us in on

1196
01:08:55,640 --> 01:08:57,919
Speaker 2: this stuff anytime.

1197
01:08:58,000 --> 01:08:59,719
Speaker 4: Have a good Thanksgiving that you too, Steve.

1198
01:08:59,760 --> 01:09:03,120
Speaker 2: Thank you you you know I mean, And I get

1199
01:09:03,160 --> 01:09:07,880
Speaker 2: some guff from people. I am sympathetic to pg's situation.

1200
01:09:08,400 --> 01:09:11,880
Speaker 2: When you're in politics, you gotta raise money, you gotta

1201
01:09:11,920 --> 01:09:15,240
Speaker 2: be aggressive. And from what I heard, I don't know

1202
01:09:15,360 --> 01:09:19,360
Speaker 2: that he crossed that line into bribery. And you know what,

1203
01:09:19,479 --> 01:09:21,599
Speaker 2: I'd like to see the Supreme Court take a look

1204
01:09:21,600 --> 01:09:24,080
Speaker 2: at it see if maybe they can kind of clear

1205
01:09:24,120 --> 01:09:26,120
Speaker 2: it up a little bit. Anyway, we got to take

1206
01:09:26,160 --> 01:09:28,000
Speaker 2: a break for the news, but when we get back,

1207
01:09:28,240 --> 01:09:31,400
Speaker 2: we're going to talk to doctor John Lott. He's going

1208
01:09:31,479 --> 01:09:35,799
Speaker 2: to talk about how the left lies about child gun deaths,

1209
01:09:35,920 --> 01:09:38,559
Speaker 2: and I think you'll find it interesting. We'll do that

1210
01:09:38,600 --> 01:09:41,599
Speaker 2: when we get back Mike Allen and for Slowey seven

1211
01:09:41,680 --> 01:09:45,360
Speaker 2: hundred WLW. You want to be an American idiot?

1212
01:09:46,880 --> 01:09:52,120
Speaker 1: Hey, we're back Mike Allan in for Sloaney. Well, i'll

1213
01:09:52,120 --> 01:09:52,519
Speaker 1: tell you what.

1214
01:09:52,760 --> 01:09:58,320
Speaker 2: The left absolutely loves to skew the figures on gun deaths,

1215
01:09:59,040 --> 01:10:04,040
Speaker 2: and that's true adults, gundest and children as well. Well,

1216
01:10:04,160 --> 01:10:07,080
Speaker 2: somebody's doing a deep dive into it and showing that

1217
01:10:07,920 --> 01:10:10,960
Speaker 2: it's just a lie, it's not true. That person is

1218
01:10:11,000 --> 01:10:15,200
Speaker 2: our next guest, doctor John Lott. He is the president

1219
01:10:15,360 --> 01:10:19,120
Speaker 2: of the Crime Prevention Research Center. And I'll tell you what.

1220
01:10:19,280 --> 01:10:24,679
Speaker 2: I checked that out. Really great website, crimesearch dot org.

1221
01:10:25,080 --> 01:10:29,200
Speaker 2: A lot of good stats in there. So anyway, doctor

1222
01:10:29,280 --> 01:10:33,200
Speaker 2: lot welcome to WLW. I know it ain't your first time.

1223
01:10:35,160 --> 01:10:37,400
Speaker 6: Thanks for having me back on. I appreciate it.

1224
01:10:37,439 --> 01:10:40,759
Speaker 2: My pleasure, my pleasure. Hey, tell us about the piece

1225
01:10:40,800 --> 01:10:43,679
Speaker 2: that you wrote. I think for the federalists, I thought

1226
01:10:43,720 --> 01:10:47,400
Speaker 2: it was great and you make a very good case

1227
01:10:47,520 --> 01:10:52,120
Speaker 2: that they are exaggerating at a minimum, the figures about that.

1228
01:10:52,240 --> 01:10:56,240
Speaker 2: And it's titled Democrats Favorite Talking point about children and

1229
01:10:56,320 --> 01:10:59,519
Speaker 2: gundests is a lie tell us about that.

1230
01:11:01,320 --> 01:11:01,639
Speaker 6: Thanks.

1231
01:11:01,960 --> 01:11:04,200
Speaker 12: People can find a copy of it at our website

1232
01:11:04,240 --> 01:11:08,839
Speaker 12: at Crimeresearch dot org. But look, you know, about fifteen

1233
01:11:08,920 --> 01:11:14,719
Speaker 12: years ago or so, Michael Bloomberg's gun control groups basically

1234
01:11:14,720 --> 01:11:18,200
Speaker 12: did focus testing to try to see what types of

1235
01:11:18,840 --> 01:11:21,479
Speaker 12: claims that they could make that would move the needle

1236
01:11:21,600 --> 01:11:25,000
Speaker 12: the most on the gun control issue. And what they

1237
01:11:25,040 --> 01:11:29,280
Speaker 12: found was, particularly for women, if they made the claim

1238
01:11:29,560 --> 01:11:33,639
Speaker 12: that gun deaths were the number one cause of death

1239
01:11:33,680 --> 01:11:38,400
Speaker 12: for children, they could they could have a big impact

1240
01:11:38,520 --> 01:11:40,840
Speaker 12: on that. And so you've been seeing a lot of

1241
01:11:40,880 --> 01:11:46,840
Speaker 12: claims out there since then that try to make that claim.

1242
01:11:47,240 --> 01:11:48,240
Speaker 4: The thing is that.

1243
01:11:48,080 --> 01:11:51,120
Speaker 12: People can go to the Centers for Disease Control website.

1244
01:11:51,160 --> 01:11:55,479
Speaker 12: They have very detailed data on deaths from many different

1245
01:11:55,479 --> 01:12:00,559
Speaker 12: types of causes. And whether you define children as those

1246
01:12:00,680 --> 01:12:04,960
Speaker 12: under eighteen or those under fifteen or some other age

1247
01:12:05,000 --> 01:12:07,400
Speaker 12: group that's lower, what you find.

1248
01:12:07,439 --> 01:12:12,080
Speaker 6: Is that motor vehicle deaths I'll outnumber it.

1249
01:12:12,280 --> 01:12:16,840
Speaker 12: And if you have something like underage fifteen, not only

1250
01:12:16,840 --> 01:12:20,200
Speaker 12: the motor vehicle deaths out number, but things like suffocation

1251
01:12:20,400 --> 01:12:24,559
Speaker 12: deaths are like twice in the latest year that's available

1252
01:12:24,640 --> 01:12:29,240
Speaker 12: twenty twenty three, suffocation deaths are more than twice the

1253
01:12:29,360 --> 01:12:35,240
Speaker 12: number of deaths from firearms. The thing is also how

1254
01:12:35,240 --> 01:12:38,360
Speaker 12: they define firearm deaths. What they do is they add

1255
01:12:38,400 --> 01:12:47,679
Speaker 12: together homicides, suicides with firearms, and accidental deaths. The problem

1256
01:12:47,760 --> 01:12:52,799
Speaker 12: is most people I suspect think that homicides and murders

1257
01:12:52,840 --> 01:12:53,479
Speaker 12: are the same.

1258
01:12:54,080 --> 01:12:54,479
Speaker 6: They're not.

1259
01:12:54,840 --> 01:13:01,400
Speaker 12: Homicides are murders plus justifiable homicides by police civilians, And

1260
01:13:01,479 --> 01:13:05,080
Speaker 12: so even to get the numbers as close as they do,

1261
01:13:06,160 --> 01:13:09,639
Speaker 12: they're having to include things like a seventeen year old

1262
01:13:09,720 --> 01:13:16,040
Speaker 12: gang member who was let's say, pointing a gun at

1263
01:13:16,080 --> 01:13:19,920
Speaker 12: a police officer and shot by the police officer, as

1264
01:13:20,720 --> 01:13:22,320
Speaker 12: you know, as a firearm step.

1265
01:13:22,800 --> 01:13:24,479
Speaker 6: And in some sit that's true.

1266
01:13:24,520 --> 01:13:28,640
Speaker 12: But the notion behind I think pushing this is just

1267
01:13:28,680 --> 01:13:32,760
Speaker 12: to take guns away, abandoned guns. I assume they're not

1268
01:13:32,800 --> 01:13:35,280
Speaker 12: going to abolish guns from police officers.

1269
01:13:35,880 --> 01:13:37,320
Speaker 3: But you know.

1270
01:13:38,720 --> 01:13:43,599
Speaker 12: It to me, lumping together an innocent victim who's killed

1271
01:13:44,280 --> 01:13:48,000
Speaker 12: versus a situation where you have a criminal who's trying

1272
01:13:48,040 --> 01:13:52,120
Speaker 12: to kill somebody else who stopped those are just not

1273
01:13:52,520 --> 01:13:53,840
Speaker 12: the same things that.

1274
01:13:53,720 --> 01:13:57,080
Speaker 6: Are going on there. And what you find is.

1275
01:13:57,080 --> 01:14:04,959
Speaker 12: About seventy five or so of the homicides involve fifteen, sixteen,

1276
01:14:05,080 --> 01:14:08,080
Speaker 12: seventeen year old gang members. Even if you're looking at,

1277
01:14:08,920 --> 01:14:12,559
Speaker 12: you know, the deaths for those under eighteen, and I

1278
01:14:12,600 --> 01:14:15,439
Speaker 12: think that's you know, questionable whether or not you want

1279
01:14:15,479 --> 01:14:18,519
Speaker 12: to include those, because when you see these news stories

1280
01:14:18,600 --> 01:14:22,240
Speaker 12: or others, they'll start off with a story about, you know,

1281
01:14:22,280 --> 01:14:23,240
Speaker 12: a child.

1282
01:14:23,040 --> 01:14:25,040
Speaker 6: Dying from an acidal gun shot.

1283
01:14:24,800 --> 01:14:25,400
Speaker 4: In the home.

1284
01:14:26,040 --> 01:14:27,840
Speaker 12: And if you look at the data from let's say

1285
01:14:27,880 --> 01:14:31,080
Speaker 12: twenty ten to twenty twenty, you'll find about thirty two

1286
01:14:31,800 --> 01:14:35,760
Speaker 12: on average of those deaths a year. You know, be

1287
01:14:35,840 --> 01:14:37,760
Speaker 12: nice if it was zero rather than third two, But

1288
01:14:37,840 --> 01:14:42,759
Speaker 12: even two thirds of those of those thirty two deaths

1289
01:14:42,880 --> 01:14:47,879
Speaker 12: are gun shots accidentally fired by an adult male, usually

1290
01:14:47,960 --> 01:14:51,719
Speaker 12: in there mid to late twenties, who have a criminal

1291
01:14:51,760 --> 01:14:54,320
Speaker 12: record and it's illegal for them to own a gun

1292
01:14:54,400 --> 01:14:57,639
Speaker 12: to begin with, and who are very often either drug

1293
01:14:57,680 --> 01:14:59,040
Speaker 12: addicts or alcoholics.

1294
01:14:59,680 --> 01:15:01,040
Speaker 6: So you know, these.

1295
01:15:00,800 --> 01:15:04,680
Speaker 12: Are not normal, law abiding people who do most of

1296
01:15:04,720 --> 01:15:07,360
Speaker 12: these accidal gunshots.

1297
01:15:07,080 --> 01:15:11,320
Speaker 6: Even for even if you want to include those, what about.

1298
01:15:11,120 --> 01:15:15,000
Speaker 1: The situation with suicide? Can you address that?

1299
01:15:17,000 --> 01:15:17,360
Speaker 4: Sure?

1300
01:15:18,080 --> 01:15:21,080
Speaker 12: Well, I mean, they're not that many suicides that are

1301
01:15:21,120 --> 01:15:24,919
Speaker 12: involved for those underageteen eighteen or under fifteen.

1302
01:15:25,400 --> 01:15:27,960
Speaker 6: It's a small number, like with accidental gun does.

1303
01:15:28,479 --> 01:15:33,040
Speaker 12: But the thing is also you know, again the notion

1304
01:15:33,360 --> 01:15:36,000
Speaker 12: is simply if you just got rid of guns, you

1305
01:15:36,040 --> 01:15:41,160
Speaker 12: wouldn't have the suicides occurring. Well, we've tried banning guns

1306
01:15:41,200 --> 01:15:44,160
Speaker 12: in parts of the United States. Washington, d C. And

1307
01:15:44,479 --> 01:15:50,960
Speaker 12: Chicago banned handguns. The vast majority of suicides involve handguns,

1308
01:15:52,439 --> 01:15:55,920
Speaker 12: and other countries have either banned all.

1309
01:15:55,840 --> 01:15:57,080
Speaker 6: Guns or all handguns.

1310
01:15:57,120 --> 01:16:02,680
Speaker 12: So what you find is that while they're in firearm suicides,

1311
01:16:03,200 --> 01:16:09,280
Speaker 12: total suicides don't change. There's really no statistically significant change

1312
01:16:09,320 --> 01:16:13,559
Speaker 12: at all in terms of total suicides. And so basically

1313
01:16:13,560 --> 01:16:16,400
Speaker 12: what happens is that if you have somebody who's suicidal,

1314
01:16:16,920 --> 01:16:19,920
Speaker 12: there are lots of different ways for people to commit suicide,

1315
01:16:20,000 --> 01:16:23,320
Speaker 12: lots of different ways for them to commit suicide which

1316
01:16:23,400 --> 01:16:26,800
Speaker 12: have you know, quote unquote an equal success rate or

1317
01:16:26,840 --> 01:16:30,840
Speaker 12: even a slightly higher success rate to using a firearm.

1318
01:16:30,880 --> 01:16:33,040
Speaker 6: People who hang themselves.

1319
01:16:32,920 --> 01:16:36,840
Speaker 12: Or jump off a tall building or structure, or walk

1320
01:16:36,880 --> 01:16:40,000
Speaker 12: in front of a train or a bus. Those are

1321
01:16:40,120 --> 01:16:44,760
Speaker 12: all ways that people could commit suicide that have you know,

1322
01:16:44,880 --> 01:16:51,560
Speaker 12: success rates that are similar to using a firearm.

1323
01:16:52,160 --> 01:16:54,160
Speaker 2: Let me ask you this, and you've got a paragraph

1324
01:16:54,240 --> 01:16:58,080
Speaker 2: in your piece on this at the you got the

1325
01:16:58,240 --> 01:17:01,600
Speaker 2: Washington Post, no surprise there, you got a blaring headline

1326
01:17:01,920 --> 01:17:05,800
Speaker 2: why guns are America's number one killer of children. Then

1327
01:17:05,880 --> 01:17:10,719
Speaker 2: you got, of course NPR their headline firearms overtook auto

1328
01:17:10,840 --> 01:17:14,760
Speaker 2: accidents as the leading cause of death and children. You

1329
01:17:15,120 --> 01:17:20,479
Speaker 2: just demolished that argument, and of course the BBC's got

1330
01:17:20,520 --> 01:17:23,080
Speaker 2: to get involved. Gun desks were the leading killer of

1331
01:17:23,240 --> 01:17:28,160
Speaker 2: US children. In twenty twenty, something happened over in the UK.

1332
01:17:28,520 --> 01:17:31,240
Speaker 2: I think that you addressed. I think it was at

1333
01:17:31,240 --> 01:17:35,519
Speaker 2: the very end of the piece where what they're doing

1334
01:17:35,520 --> 01:17:38,160
Speaker 2: with gun control over there hasn't helped anything.

1335
01:17:39,800 --> 01:17:40,120
Speaker 4: All right.

1336
01:17:40,160 --> 01:17:45,720
Speaker 12: Well, you look, you have a whole island nations that

1337
01:17:45,760 --> 01:17:49,120
Speaker 12: have tried to ban guns. In the UK, they banned

1338
01:17:49,160 --> 01:17:54,559
Speaker 12: all handguns in January nineteen ninety seven, and what you found.

1339
01:17:56,640 --> 01:18:00,479
Speaker 12: What you found was that after they banned it, over

1340
01:18:00,520 --> 01:18:04,879
Speaker 12: the next eight years, homicides increased by fifty percent.

1341
01:18:05,560 --> 01:18:06,800
Speaker 4: It was only.

1342
01:18:08,520 --> 01:18:12,040
Speaker 12: After they had about an eighteen percent increase in the

1343
01:18:12,160 --> 01:18:16,759
Speaker 12: number of police officers in just a few year period

1344
01:18:16,800 --> 01:18:19,960
Speaker 12: of time that they were finally able to bring down

1345
01:18:20,960 --> 01:18:24,280
Speaker 12: the homicide rates back to about what they were prior

1346
01:18:24,320 --> 01:18:25,720
Speaker 12: to the band that was.

1347
01:18:25,680 --> 01:18:28,040
Speaker 6: There, and that's what you see in other countries.

1348
01:18:28,040 --> 01:18:31,240
Speaker 12: I mean, look, I know when we had the bands

1349
01:18:31,280 --> 01:18:35,360
Speaker 12: in Chicago and Washington, TC gun control advocates say, well,

1350
01:18:35,800 --> 01:18:38,719
Speaker 12: you know that wasn't a fair test. You can't expect

1351
01:18:38,720 --> 01:18:41,200
Speaker 12: it to work because people could stole get guns from

1352
01:18:41,240 --> 01:18:46,040
Speaker 12: the rest of Illinois, or from Indiana, or from Maryland

1353
01:18:46,080 --> 01:18:50,280
Speaker 12: to Virginia. The problem is that doesn't explain why homicide

1354
01:18:50,360 --> 01:18:52,640
Speaker 12: rates went up. It may explain why they didn't go

1355
01:18:52,800 --> 01:18:56,160
Speaker 12: down as they were predicting at the time. But you

1356
01:18:56,160 --> 01:18:58,799
Speaker 12: could look at island nations, whether it be the Republic

1357
01:18:58,840 --> 01:19:03,320
Speaker 12: of Ireland or Jamaica or the Solomon Islands or other

1358
01:19:03,360 --> 01:19:08,040
Speaker 12: places which have banned either all guns or all handguns,

1359
01:19:08,120 --> 01:19:13,840
Speaker 12: and every single time, murder rates go up and suicides

1360
01:19:13,960 --> 01:19:15,040
Speaker 12: remain unchanged.

1361
01:19:15,600 --> 01:19:16,760
Speaker 6: And there's a simple.

1362
01:19:16,479 --> 01:19:19,400
Speaker 12: Reason why murder rates go up, and that is you

1363
01:19:19,439 --> 01:19:21,800
Speaker 12: may take a few guns away from the criminals, but

1364
01:19:21,840 --> 01:19:26,599
Speaker 12: if you're primarily disarming the law bidy good citizens out there,

1365
01:19:27,120 --> 01:19:29,759
Speaker 12: you make it easier for criminals to go and commit crimes,

1366
01:19:29,800 --> 01:19:32,920
Speaker 12: and you actually see an increase in total death.

1367
01:19:34,200 --> 01:19:38,120
Speaker 2: Let me ask you this question. I have always wondered why,

1368
01:19:38,600 --> 01:19:42,360
Speaker 2: and I've got a theory why the left and their

1369
01:19:42,360 --> 01:19:46,760
Speaker 2: cohorts in the mainstream media keep pounding this thing. You know,

1370
01:19:46,800 --> 01:19:49,599
Speaker 2: it's all about the gun, all about the gun. They

1371
01:19:49,760 --> 01:19:53,800
Speaker 2: never talk about the person behind the gun, and that's

1372
01:19:53,920 --> 01:19:58,599
Speaker 2: juvenile and adults. I mean, my thought is they're just

1373
01:19:58,760 --> 01:20:03,080
Speaker 2: it's easier to do that rather than confront the real problem,

1374
01:20:03,520 --> 01:20:06,280
Speaker 2: which is the person. Do you have any thoughts on that.

1375
01:20:08,280 --> 01:20:12,640
Speaker 12: Yeah, Look, reducing crime isn't rocket science. You have to

1376
01:20:12,680 --> 01:20:15,040
Speaker 12: make it riskier for criminals to go and commit crime.

1377
01:20:15,280 --> 01:20:18,080
Speaker 12: To do that with higher rest rates, higher conviction rates,

1378
01:20:18,160 --> 01:20:22,000
Speaker 12: longer prison sentences, but also allowing victims to be able

1379
01:20:22,040 --> 01:20:24,559
Speaker 12: to go and defend themselves. All those things make it

1380
01:20:24,720 --> 01:20:28,240
Speaker 12: riskier for criminals to commit crime. And I guess what

1381
01:20:28,320 --> 01:20:30,200
Speaker 12: I would say is a couple of things. One is,

1382
01:20:30,439 --> 01:20:33,599
Speaker 12: at least they're consistent across the board. You know, you

1383
01:20:33,680 --> 01:20:35,639
Speaker 12: look at a lot of these democratic cities. They don't

1384
01:20:35,640 --> 01:20:37,960
Speaker 12: want to make it risky for criminals to commit crime

1385
01:20:38,000 --> 01:20:43,600
Speaker 12: in terms of law enforcement arresting them or punishment. You know,

1386
01:20:44,560 --> 01:20:47,000
Speaker 12: there are plenty of examples that we can give about

1387
01:20:47,080 --> 01:20:50,519
Speaker 12: how they immediately release the criminals that are there that

1388
01:20:50,640 --> 01:20:54,080
Speaker 12: they don't want to make them serve time in prison.

1389
01:20:54,600 --> 01:20:56,719
Speaker 12: But not only do they want to make it less

1390
01:20:56,800 --> 01:20:59,280
Speaker 12: risky for criminals to commit crime in terms of law

1391
01:20:59,280 --> 01:21:02,840
Speaker 12: and force in the criminal justice system, they also don't

1392
01:21:02,840 --> 01:21:04,960
Speaker 12: want to make it risky for criminals to commit crime

1393
01:21:05,040 --> 01:21:07,320
Speaker 12: in terms of letting victims be able to go and

1394
01:21:07,360 --> 01:21:11,120
Speaker 12: defend themselves. Look, you know, one of the big puzzles

1395
01:21:11,120 --> 01:21:17,160
Speaker 12: to me is Democrats will go and talk about racial

1396
01:21:17,479 --> 01:21:21,120
Speaker 12: justice in terms of prisons. So you will have people

1397
01:21:21,240 --> 01:21:25,600
Speaker 12: like you know, Alvin Bryde, the district attorney in Manhattan,

1398
01:21:25,640 --> 01:21:29,559
Speaker 12: New York City, or others Soros prosecutors who will say

1399
01:21:29,600 --> 01:21:33,400
Speaker 12: that you want to have people in jail equal to

1400
01:21:33,520 --> 01:21:37,360
Speaker 12: the racial percentage of their population. So if blacks make

1401
01:21:37,439 --> 01:21:41,000
Speaker 12: up thirteen percent of the population, they should make up

1402
01:21:41,040 --> 01:21:46,920
Speaker 12: thirteen percent of those in prison. Here's the problem, who

1403
01:21:46,960 --> 01:21:49,960
Speaker 12: do they think the victims of crime are? Victims of

1404
01:21:50,040 --> 01:21:53,400
Speaker 12: crime tend to be very similar to the perpetrators. Ninety

1405
01:21:53,479 --> 01:21:58,280
Speaker 12: percent of blacks are murdered by blacks. So if you're

1406
01:21:58,320 --> 01:22:02,000
Speaker 12: going to be you know, lenient on the criminals that

1407
01:22:02,080 --> 01:22:05,880
Speaker 12: are there, it means that people who are similar in

1408
01:22:05,960 --> 01:22:09,519
Speaker 12: terms of race and socioeconomic status are going to be

1409
01:22:09,560 --> 01:22:13,120
Speaker 12: the victims so why not care about the black victims

1410
01:22:13,200 --> 01:22:15,439
Speaker 12: that are there. You know, over half of the murders

1411
01:22:15,760 --> 01:22:18,960
Speaker 12: in the United States are committed by blacks, even though

1412
01:22:18,960 --> 01:22:21,320
Speaker 12: they make up about thirteen percent of the population.

1413
01:22:21,960 --> 01:22:23,920
Speaker 6: A lot of that is drug.

1414
01:22:23,640 --> 01:22:28,320
Speaker 12: Gang violence that's there, but they're killing other blacks overwhelmingly,

1415
01:22:29,040 --> 01:22:32,439
Speaker 12: And you know, it seems to me we should care

1416
01:22:32,479 --> 01:22:36,080
Speaker 12: about the victims there and try to keep them safe

1417
01:22:36,240 --> 01:22:39,479
Speaker 12: more than we should worry about the racial color of

1418
01:22:40,640 --> 01:22:44,840
Speaker 12: the people who are committing the crimes. But you know,

1419
01:22:46,920 --> 01:22:50,080
Speaker 12: there's a more basic issue also about why it is

1420
01:22:51,360 --> 01:22:57,200
Speaker 12: that liberals don't trust people to have guns for protection.

1421
01:22:58,000 --> 01:23:02,240
Speaker 12: And I think he sees again consistently across the board.

1422
01:23:02,280 --> 01:23:08,759
Speaker 12: You look at something like Obamacare. Obamacare basically takes away

1423
01:23:08,840 --> 01:23:12,880
Speaker 12: people's choices for what's going to be covered by their

1424
01:23:12,880 --> 01:23:16,840
Speaker 12: health insurance. The only choices you have under Obamacare is

1425
01:23:16,880 --> 01:23:19,640
Speaker 12: basically the size of the deductible that you're going to have.

1426
01:23:20,160 --> 01:23:22,760
Speaker 12: But what's covered, whether you're a seven year old woman,

1427
01:23:22,800 --> 01:23:27,240
Speaker 12: you're still covered for childbirth, that's there. You know, there

1428
01:23:27,240 --> 01:23:29,200
Speaker 12: are a lot of other weirder things that are in

1429
01:23:29,200 --> 01:23:33,280
Speaker 12: there too, and so you know the problem is if

1430
01:23:33,280 --> 01:23:36,479
Speaker 12: you don't trust somebody for being able to choose what

1431
01:23:36,520 --> 01:23:39,559
Speaker 12: their health insurance is going to cover. You're not going

1432
01:23:39,600 --> 01:23:43,320
Speaker 12: to trust them for something like whether they're going to

1433
01:23:43,320 --> 01:23:46,840
Speaker 12: have a weapon or not. And you know, it just

1434
01:23:47,080 --> 01:23:49,519
Speaker 12: it just comes down to whether or not you think

1435
01:23:51,280 --> 01:23:56,400
Speaker 12: people are able to make decisions for themselves in many

1436
01:23:56,479 --> 01:23:57,479
Speaker 12: situations or not.

1437
01:23:57,720 --> 01:23:59,920
Speaker 2: No, and I get that. You know, I've been in

1438
01:24:00,120 --> 01:24:03,599
Speaker 2: criminal justice system for fifty one years in one form

1439
01:24:03,760 --> 01:24:07,120
Speaker 2: or another, and I can tell you right now, let's

1440
01:24:07,160 --> 01:24:11,799
Speaker 2: just say Trump signed an executive order tomorrow banning all guns.

1441
01:24:12,680 --> 01:24:15,960
Speaker 2: These people are going to be able to find guns

1442
01:24:16,320 --> 01:24:18,559
Speaker 2: probably pretty darn easy.

1443
01:24:19,040 --> 01:24:21,720
Speaker 1: You're probably you're probably familiar with it.

1444
01:24:21,760 --> 01:24:26,160
Speaker 2: There's a phenomena called community guns where people in the

1445
01:24:26,160 --> 01:24:28,760
Speaker 2: neighborhood will go use the gun, do whatever they do

1446
01:24:28,840 --> 01:24:31,479
Speaker 2: with it, and put it back for someone else to use.

1447
01:24:31,800 --> 01:24:35,200
Speaker 2: It's just naive to think that you're going to ban

1448
01:24:35,320 --> 01:24:36,919
Speaker 2: your way out of this problem.

1449
01:24:37,000 --> 01:24:37,439
Speaker 1: Mate.

1450
01:24:37,920 --> 01:24:43,280
Speaker 2: It's just it's frustrating because a lot of people are dying, right.

1451
01:24:44,200 --> 01:24:45,479
Speaker 6: No, I mean, I agree with you.

1452
01:24:46,080 --> 01:24:50,160
Speaker 12: Look and the major source of the legal guns are

1453
01:24:50,360 --> 01:24:53,040
Speaker 12: it looks like our drug gangs, you know you have.

1454
01:24:54,200 --> 01:24:55,880
Speaker 12: It's not like a drug gang can go to the

1455
01:24:55,920 --> 01:24:58,639
Speaker 12: police and say, look, this other gang stole or drugs,

1456
01:24:58,640 --> 01:25:00,920
Speaker 12: can you help us get them back. They have to

1457
01:25:00,920 --> 01:25:03,439
Speaker 12: set up their own little militaries in order to protect

1458
01:25:03,479 --> 01:25:06,800
Speaker 12: that extremely valuable property that they have. And if they're

1459
01:25:06,800 --> 01:25:09,240
Speaker 12: going to have a lot of weapons, they're going and

1460
01:25:09,320 --> 01:25:11,639
Speaker 12: they can make money selling drugs and they can make

1461
01:25:11,680 --> 01:25:14,000
Speaker 12: money selling weapons, They're going to do both.

1462
01:25:14,040 --> 01:25:14,519
Speaker 6: That's there.

1463
01:25:14,800 --> 01:25:14,960
Speaker 9: You know.

1464
01:25:15,000 --> 01:25:17,480
Speaker 12: You can look at a country like Mexico, for example,

1465
01:25:18,040 --> 01:25:23,280
Speaker 12: Mexico used to be fairly unregulated in terms of gun ownerships.

1466
01:25:23,280 --> 01:25:29,799
Speaker 12: In nineteen seventy two, they essentially had very strict rules

1467
01:25:30,000 --> 01:25:33,639
Speaker 12: limiting guns. Only one gun store in the country, run

1468
01:25:33,680 --> 01:25:36,160
Speaker 12: by the military. The most powerful gun that you've been

1469
01:25:36,200 --> 01:25:39,479
Speaker 12: able to buy since nineteen seventy two is a bolt

1470
01:25:39,520 --> 01:25:45,080
Speaker 12: action twenty two caliber short round rifle. That's not the

1471
01:25:45,120 --> 01:25:48,640
Speaker 12: type of gun that that drug gigs are using, our

1472
01:25:48,680 --> 01:25:53,120
Speaker 12: cartels are using in Mexico. And yet the murder rate

1473
01:25:53,600 --> 01:25:57,160
Speaker 12: in Mexico has more than doubled since nineteen seventy two.

1474
01:25:58,760 --> 01:26:00,880
Speaker 6: You know, so if I could click my.

1475
01:26:00,920 --> 01:26:04,640
Speaker 12: Fingers and cause all guns in the United States to

1476
01:26:04,680 --> 01:26:08,160
Speaker 12: disappear and all illegal drugs, how long do you think

1477
01:26:08,160 --> 01:26:10,800
Speaker 12: it would be before illegal drugs start coming back into

1478
01:26:10,800 --> 01:26:13,519
Speaker 12: the United States supply in twenty minutes. If you're at

1479
01:26:13,520 --> 01:26:14,080
Speaker 12: I'll passo.

1480
01:26:14,280 --> 01:26:18,000
Speaker 2: Yeah, I agree with you, Doc. Unfortunately we're out of

1481
01:26:18,040 --> 01:26:22,200
Speaker 2: time here. I really appreciate this discussion, and you know,

1482
01:26:22,640 --> 01:26:27,040
Speaker 2: I also too want to pitch again the Research Center,

1483
01:26:27,160 --> 01:26:29,880
Speaker 2: I mean the Crime Prevention Research Center.

1484
01:26:30,240 --> 01:26:33,640
Speaker 1: They really do a great job. It's a great website.

1485
01:26:33,840 --> 01:26:36,760
Speaker 2: And anyway, doctor John Lott, thank you so much for

1486
01:26:36,960 --> 01:26:38,680
Speaker 2: educating us on this subject.

1487
01:26:39,080 --> 01:26:43,439
Speaker 12: Well, happy Thanksgiving and people can find more at crimeresearch

1488
01:26:43,560 --> 01:26:45,599
Speaker 12: dot org crimeresearch dot org.

1489
01:26:45,920 --> 01:26:46,400
Speaker 4: But thank you.

1490
01:26:46,600 --> 01:26:49,920
Speaker 2: Okay, thanks doc. All Right, doctor John Lott. You know,

1491
01:26:50,640 --> 01:26:52,800
Speaker 2: and the left is going to continue to do it too.

1492
01:26:53,000 --> 01:26:56,120
Speaker 2: I mean, god forbid they could tell the truth about

1493
01:26:56,160 --> 01:26:59,720
Speaker 2: something in the media, and obviously this is important. Hey,

1494
01:26:59,760 --> 01:27:01,439
Speaker 2: we to take a break for the news. But when

1495
01:27:01,479 --> 01:27:04,200
Speaker 2: we get back. Last segment, we're going to talk to

1496
01:27:04,320 --> 01:27:07,519
Speaker 2: Janis Heisel of the Epoch Times. She's got a great

1497
01:27:07,520 --> 01:27:10,479
Speaker 2: story she just filed a couple of days ago about

1498
01:27:10,479 --> 01:27:14,080
Speaker 2: the last selection and you know, the question being are

1499
01:27:14,240 --> 01:27:16,960
Speaker 2: we really headed to socialism or not?

1500
01:27:17,439 --> 01:27:19,240
Speaker 1: So we'll talk to Janis when we get back.

1501
01:27:19,680 --> 01:27:27,000
Speaker 2: Mike Allen in for Sloaney seven hundred WLW. Hey, we're

1502
01:27:27,000 --> 01:27:30,880
Speaker 2: back Mike Allen seven hundred WLW before we get to

1503
01:27:30,920 --> 01:27:36,200
Speaker 2: our next guest. There's a story breaking a big, big,

1504
01:27:36,320 --> 01:27:36,960
Speaker 2: big fire.

1505
01:27:37,040 --> 01:27:39,759
Speaker 1: I guess it's in downtown Hong Kong.

1506
01:27:40,640 --> 01:27:42,840
Speaker 2: I didn't get a chance to really read anything about it,

1507
01:27:42,840 --> 01:27:45,240
Speaker 2: but boy, I'm looking at the visual and it's bad.

1508
01:27:45,720 --> 01:27:50,320
Speaker 2: I think they're reporting, Oh my goodness, they're reporting thirteen

1509
01:27:50,439 --> 01:27:53,920
Speaker 2: deaths so far. So just wanted to let you know

1510
01:27:54,000 --> 01:27:59,439
Speaker 2: about that. Hey, despite the socialist surge in New York City,

1511
01:27:59,479 --> 01:28:02,400
Speaker 2: and I'll be they've got a big one with their

1512
01:28:02,479 --> 01:28:08,200
Speaker 2: new mayor, you know, moderates one in most other places,

1513
01:28:08,520 --> 01:28:11,120
Speaker 2: So maybe it's not as bad as we seem to

1514
01:28:11,200 --> 01:28:14,160
Speaker 2: think here to talk about it as a reporter who

1515
01:28:14,200 --> 01:28:17,679
Speaker 2: did a deep dive on it, not just a perfunctory article,

1516
01:28:18,160 --> 01:28:20,559
Speaker 2: but a deep dive on and I'm talking about Janie

1517
01:28:20,640 --> 01:28:24,880
Speaker 2: Heisel from the Epoch Times. Janis, thanks so much for calling.

1518
01:28:24,640 --> 01:28:28,000
Speaker 6: Us this morning, So thanks so much.

1519
01:28:28,360 --> 01:28:32,280
Speaker 13: I've got to tell you it's interesting for me as

1520
01:28:32,320 --> 01:28:35,960
Speaker 13: a reporter on the ground to see how things really

1521
01:28:36,000 --> 01:28:40,760
Speaker 13: are versus how they are often portrayed. Yes, and I

1522
01:28:40,880 --> 01:28:45,160
Speaker 13: did go to Minneapolis to cover the mayor's race there,

1523
01:28:45,240 --> 01:28:47,879
Speaker 13: and that's how I got this idea for this story

1524
01:28:48,400 --> 01:28:52,160
Speaker 13: to kind of compare and contrast what happened in Minneapolis

1525
01:28:52,280 --> 01:28:57,120
Speaker 13: versus what happens in New York and elsewhere. I actually

1526
01:28:57,160 --> 01:28:59,759
Speaker 13: also relied a lot on an article that I saw

1527
01:29:00,240 --> 01:29:04,200
Speaker 13: by the Manhattan Institute which kind of had sort of

1528
01:29:04,200 --> 01:29:07,120
Speaker 13: the same concept that I did. And the idea is

1529
01:29:07,160 --> 01:29:09,720
Speaker 13: that you know, in Minneapolis a lot you know, it's

1530
01:29:09,760 --> 01:29:11,680
Speaker 13: a lot smaller of a city. It's not in the

1531
01:29:11,720 --> 01:29:16,599
Speaker 13: spotlight the way New York it typically is, but you know,

1532
01:29:16,760 --> 01:29:19,680
Speaker 13: it was very interesting to see that them. There is

1533
01:29:19,680 --> 01:29:24,799
Speaker 13: an incumbent kind of more mainstream Democrat mayor named Jacob Fry,

1534
01:29:25,439 --> 01:29:28,880
Speaker 13: and he was challenged by what they call the mini Mandamy,

1535
01:29:29,600 --> 01:29:33,000
Speaker 13: a guy named Omart I'm not sure from saying his

1536
01:29:33,120 --> 01:29:37,599
Speaker 13: name correct correctly, but he is a He was involved

1537
01:29:37,600 --> 01:29:41,880
Speaker 13: in the state government there in Minnesota, and there was

1538
01:29:42,680 --> 01:29:45,320
Speaker 13: some you know, fair amount of like regional buzz and

1539
01:29:45,360 --> 01:29:48,760
Speaker 13: some national buzz over that because of the fact that

1540
01:29:48,840 --> 01:29:53,320
Speaker 13: he is also a Muslim and had some other democratic

1541
01:29:53,439 --> 01:29:58,360
Speaker 13: socialist policies that he shared similar to those of Mandanmi

1542
01:29:58,520 --> 01:30:03,160
Speaker 13: in New York. So in looking at these two situations

1543
01:30:03,280 --> 01:30:07,960
Speaker 13: in Minneapolis, the democratic socialist guy lost to the more

1544
01:30:08,000 --> 01:30:09,679
Speaker 13: moderate Democrat and.

1545
01:30:09,560 --> 01:30:13,400
Speaker 2: That how close was that race?

1546
01:30:13,560 --> 01:30:15,480
Speaker 1: I read, but I forget.

1547
01:30:15,840 --> 01:30:19,000
Speaker 13: You know, here's the problem which he's describing what happened

1548
01:30:19,040 --> 01:30:22,840
Speaker 13: in Minneapolis. They have this crazy ranked voice voting that

1549
01:30:22,920 --> 01:30:26,519
Speaker 13: we in Ohio don't understand. I had to like spend

1550
01:30:26,720 --> 01:30:29,599
Speaker 13: such an amount of time just to understand the bottom line.

1551
01:30:29,840 --> 01:30:32,880
Speaker 13: What happens is voters can pick. They can say I

1552
01:30:32,920 --> 01:30:35,519
Speaker 13: want Mike Allen is my first choice, he is my

1553
01:30:35,560 --> 01:30:38,240
Speaker 13: second choice, and Joe Schmoll is my third choice. So

1554
01:30:38,280 --> 01:30:41,040
Speaker 13: if Mike Allen doesn't get fifty percent of the vote

1555
01:30:41,040 --> 01:30:43,599
Speaker 13: in the first round of votes being counting, it goes

1556
01:30:43,680 --> 01:30:46,920
Speaker 13: back to say, okay, round two, how many people have

1557
01:30:47,040 --> 01:30:49,760
Speaker 13: Mike Allen as his second choice? And then if Mike

1558
01:30:49,800 --> 01:30:52,519
Speaker 13: Allen had you know, comes out ahead on that second round,

1559
01:30:52,560 --> 01:30:56,040
Speaker 13: then with at least fifty percent of the vote, then

1560
01:30:56,240 --> 01:30:57,160
Speaker 13: Mike Allen would win.

1561
01:30:57,800 --> 01:30:58,759
Speaker 9: So that's how it works.

1562
01:30:58,800 --> 01:31:01,479
Speaker 13: And it took me awhile to come up with that

1563
01:31:01,680 --> 01:31:08,160
Speaker 13: very rudimentary description of how it works. So initially the

1564
01:31:08,160 --> 01:31:10,840
Speaker 13: initial vote scout, I will say there was a ten

1565
01:31:10,960 --> 01:31:20,080
Speaker 13: percent divide between the incomment mayor and that Democratic Socialist challenger.

1566
01:31:20,400 --> 01:31:23,479
Speaker 13: So I think most people you know, again, right choice

1567
01:31:23,600 --> 01:31:27,200
Speaker 13: voting kind of show the monkey wrench into the calculation.

1568
01:31:27,320 --> 01:31:29,599
Speaker 13: But most people would say that was a pretty comfortable margin,

1569
01:31:29,960 --> 01:31:33,439
Speaker 13: and he, the incumbent, did pretty much say that. But

1570
01:31:33,520 --> 01:31:36,840
Speaker 13: he also didn't want to claim victory prematurely, so on

1571
01:31:37,000 --> 01:31:40,400
Speaker 13: election night he waited till the next day and then

1572
01:31:40,960 --> 01:31:43,120
Speaker 13: you know, it did get declared that he was the

1573
01:31:43,160 --> 01:31:44,920
Speaker 13: winner in the second round of the county.

1574
01:31:45,120 --> 01:31:47,960
Speaker 2: You know, you make the point in your story about

1575
01:31:48,280 --> 01:31:51,600
Speaker 2: gallup polling. I guess I think it's in September, the

1576
01:31:51,680 --> 01:31:55,080
Speaker 2: latest polls showed that the Democrats are the only partisan

1577
01:31:55,120 --> 01:31:59,880
Speaker 2: group of the three meaning Republican, Democrat, independent that views

1578
01:32:00,080 --> 01:32:05,599
Speaker 2: socialism more positively than capitalism. Released in September, the poll

1579
01:32:05,680 --> 01:32:11,200
Speaker 2: showed sixty six percent of Democrats viewed socialism in a

1580
01:32:11,280 --> 01:32:14,120
Speaker 2: positive light, and that's for the first time in that

1581
01:32:14,200 --> 01:32:17,200
Speaker 2: poll's history, fewer than half of the Democrats it was

1582
01:32:17,320 --> 01:32:22,920
Speaker 2: forty two percent favor capitalism. For Republicans, it was it

1583
01:32:23,000 --> 01:32:25,439
Speaker 2: was what you think, what you would expect from them.

1584
01:32:25,479 --> 01:32:28,400
Speaker 2: But I'm sure sounds to me janis like they're not

1585
01:32:28,640 --> 01:32:29,840
Speaker 2: backing away from it.

1586
01:32:30,360 --> 01:32:31,679
Speaker 1: What do you think about that.

1587
01:32:32,800 --> 01:32:37,920
Speaker 13: Well, there are indicators like that out there suggesting that

1588
01:32:38,439 --> 01:32:42,200
Speaker 13: you know, this socialism creep, especially when people put on

1589
01:32:42,240 --> 01:32:47,839
Speaker 13: the word democratic in spite of the word socialism. People,

1590
01:32:48,160 --> 01:32:50,439
Speaker 13: that sounds better, at least, this is the vibe I

1591
01:32:50,439 --> 01:32:53,120
Speaker 13: get from talking to people. That sounds better. It sounds

1592
01:32:53,160 --> 01:32:56,320
Speaker 13: okay to a lot of people. But then we roll

1593
01:32:56,360 --> 01:32:59,800
Speaker 13: down to what the policies really would do. A lot

1594
01:32:59,800 --> 01:33:02,120
Speaker 13: of people will probably buy a lot more concerned if

1595
01:33:02,160 --> 01:33:05,040
Speaker 13: they really really looked into some of that, because it

1596
01:33:05,080 --> 01:33:07,839
Speaker 13: does some of them more radical socialist policy.

1597
01:33:07,920 --> 01:33:08,919
Speaker 6: You do talk about.

1598
01:33:08,720 --> 01:33:14,280
Speaker 13: Things like, you know, community ownership of businesses rather than

1599
01:33:14,960 --> 01:33:17,960
Speaker 13: you know, independent ownership and property, and on and on,

1600
01:33:18,760 --> 01:33:23,280
Speaker 13: erosion of personal rights because it's all being done for

1601
01:33:23,439 --> 01:33:27,479
Speaker 13: the good of the people, so to speak. And so

1602
01:33:28,240 --> 01:33:32,120
Speaker 13: there's so it'll be interesting, as my article points out,

1603
01:33:33,360 --> 01:33:35,920
Speaker 13: what we're seeing across the country does appear to be

1604
01:33:36,000 --> 01:33:41,519
Speaker 13: this creep of socialism into especially through a lot of

1605
01:33:41,520 --> 01:33:47,080
Speaker 13: people who lean Democrat or are Democrat, but Republicans rejecting it.

1606
01:33:48,000 --> 01:33:52,520
Speaker 13: I mean, only fourteen percent of Republicans look favorably upon socialism.

1607
01:33:52,560 --> 01:33:55,479
Speaker 13: So it's kind of like the Republicans are holding the line,

1608
01:33:55,479 --> 01:33:58,599
Speaker 13: but independences are in there too holding that line. Thirty

1609
01:33:58,600 --> 01:34:05,000
Speaker 13: eight percent but viewed it favorably. Wow, only thirty compared

1610
01:34:05,040 --> 01:34:07,559
Speaker 13: to you know, much greater percentage of the sixty six

1611
01:34:07,600 --> 01:34:15,160
Speaker 13: percent of Democrats socially socialism positive manner. So very interesting

1612
01:34:15,240 --> 01:34:19,679
Speaker 13: trends going on in politics right now. And people are

1613
01:34:19,680 --> 01:34:26,360
Speaker 13: looking to New York to see if Mandami takes a

1614
01:34:26,400 --> 01:34:28,960
Speaker 13: really difficult situation there in New York and it becomes

1615
01:34:30,000 --> 01:34:32,880
Speaker 13: more of a big mess, people are going to go, whoa,

1616
01:34:33,439 --> 01:34:37,559
Speaker 13: do we want that for our community? So they're all

1617
01:34:37,600 --> 01:34:40,200
Speaker 13: eyes are on New York very much so. But I

1618
01:34:40,240 --> 01:34:44,439
Speaker 13: wanted to kind of also open people's eyes to maybe

1619
01:34:44,520 --> 01:34:47,479
Speaker 13: New York's not the norm. And it's hard to say

1620
01:34:47,560 --> 01:34:47,920
Speaker 13: right now.

1621
01:34:48,560 --> 01:34:50,680
Speaker 2: No, you're right, and that is a good part of

1622
01:34:50,720 --> 01:34:53,960
Speaker 2: the of the op ed piece. You know what, I

1623
01:34:54,240 --> 01:34:57,640
Speaker 2: think we're all kind of an uncharted territory here. But

1624
01:34:57,760 --> 01:35:00,120
Speaker 2: the thing, and you know, you can weigh in on

1625
01:35:00,160 --> 01:35:03,519
Speaker 2: this if you want. I had never been able to find,

1626
01:35:03,680 --> 01:35:07,639
Speaker 2: and I challenged people on the left an example where

1627
01:35:07,800 --> 01:35:12,880
Speaker 2: socialism has worked either in a city or a country.

1628
01:35:12,960 --> 01:35:16,640
Speaker 2: I mean, did you run into any of that, any

1629
01:35:16,680 --> 01:35:19,560
Speaker 2: anybody facing that reality?

1630
01:35:20,439 --> 01:35:22,960
Speaker 13: You know, That's something I'm still looking for to.

1631
01:35:24,400 --> 01:35:24,679
Speaker 9: Either.

1632
01:35:26,000 --> 01:35:28,920
Speaker 13: But and I don't know of anybody who has give me.

1633
01:35:28,840 --> 01:35:29,720
Speaker 6: A call if you do.

1634
01:35:30,800 --> 01:35:35,200
Speaker 13: But no, that's that's a great point. It's it's one

1635
01:35:35,200 --> 01:35:38,400
Speaker 13: of the biggest arguments I hear on the side that

1636
01:35:38,560 --> 01:35:44,280
Speaker 13: goes against socialism or democratic socialism, whatever brand name you

1637
01:35:44,320 --> 01:35:44,880
Speaker 13: want to give it.

1638
01:35:45,600 --> 01:35:46,040
Speaker 2: Uh.

1639
01:35:46,080 --> 01:35:48,400
Speaker 13: And so once again, it's just going to be a

1640
01:35:48,520 --> 01:35:52,559
Speaker 13: very interesting time for everybody to keep an eye on

1641
01:35:52,600 --> 01:35:55,200
Speaker 13: what is going on in New York. But also maybe

1642
01:35:55,200 --> 01:35:57,800
Speaker 13: it was you know, at least take a glance over

1643
01:35:57,960 --> 01:36:01,439
Speaker 13: what happens in Minneapolis over there. That mayor has been

1644
01:36:01,439 --> 01:36:05,280
Speaker 13: in charge for the past eight years and he had

1645
01:36:05,280 --> 01:36:09,280
Speaker 13: to weather the whole George Floyd thing. My article points

1646
01:36:09,280 --> 01:36:13,520
Speaker 13: out when George Floyd was was killed in police custody,

1647
01:36:13,920 --> 01:36:17,920
Speaker 13: as we all remember, places especially Minneapolis, were on fire.

1648
01:36:18,160 --> 01:36:22,760
Speaker 13: People were just really really outraged, and that video you know,

1649
01:36:22,880 --> 01:36:26,599
Speaker 13: did shock people's conscience for sure. But with that said,

1650
01:36:28,200 --> 01:36:33,439
Speaker 13: the mayor, while condemning some of those actions of the police, said,

1651
01:36:33,479 --> 01:36:37,320
Speaker 13: you know, we don't need to cut, you know, defund

1652
01:36:37,320 --> 01:36:40,960
Speaker 13: the police. That doesn't help us. And he faced a

1653
01:36:41,040 --> 01:36:43,360
Speaker 13: lot of heat for that. And I was in Minneapolis

1654
01:36:43,400 --> 01:36:48,360
Speaker 13: and saw that. To this day, there are signs against

1655
01:36:48,400 --> 01:36:52,160
Speaker 13: the mayor in people's yards. There are Black Lives Matter signs,

1656
01:36:52,200 --> 01:36:58,120
Speaker 13: you know. There, there's a lot of palatable and visual

1657
01:36:58,320 --> 01:37:02,439
Speaker 13: signs that the mayor faced a lot of pushback over

1658
01:37:02,520 --> 01:37:05,040
Speaker 13: his refusal to defund the police, which was a big

1659
01:37:05,080 --> 01:37:05,639
Speaker 13: push there.

1660
01:37:06,120 --> 01:37:08,360
Speaker 2: What the heck is wrong with those people? I mean,

1661
01:37:08,680 --> 01:37:10,960
Speaker 2: I don't get it, But hey, let me ask you.

1662
01:37:11,160 --> 01:37:15,200
Speaker 2: Did you happen to see any footage of the Mondommie

1663
01:37:15,240 --> 01:37:18,040
Speaker 2: visit to President Trump in the Oval office?

1664
01:37:18,120 --> 01:37:20,040
Speaker 1: And if you did, what are your thoughts?

1665
01:37:21,160 --> 01:37:21,479
Speaker 14: Well?

1666
01:37:21,920 --> 01:37:26,080
Speaker 13: I did take a look at that, and what was

1667
01:37:26,840 --> 01:37:30,720
Speaker 13: I heard? One person described the encounter as rather collegial,

1668
01:37:31,040 --> 01:37:36,160
Speaker 13: so they exchanged some pretty copsteak barbs back and forth.

1669
01:37:37,600 --> 01:37:40,800
Speaker 13: But I guess maybe there's just sort of a recognition

1670
01:37:41,400 --> 01:37:45,479
Speaker 13: at least. This is just my impression that you got

1671
01:37:45,479 --> 01:37:49,519
Speaker 13: to work with the guy somehow and Trump, people who

1672
01:37:49,560 --> 01:37:52,120
Speaker 13: know Trump have all told me, and I think he's

1673
01:37:52,160 --> 01:37:56,160
Speaker 13: even publicly admitted this in many ways. Yet he is

1674
01:37:57,400 --> 01:37:58,599
Speaker 13: a New Yorker at heart.

1675
01:37:58,960 --> 01:38:02,880
Speaker 14: He does love of New York and it's really where

1676
01:38:02,920 --> 01:38:05,960
Speaker 14: he made his name, literally on the skyline there.

1677
01:38:06,760 --> 01:38:12,360
Speaker 13: And you know, he does want New York to succeed

1678
01:38:12,479 --> 01:38:15,559
Speaker 13: and to soar, and he doesn't want the place to

1679
01:38:15,640 --> 01:38:19,280
Speaker 13: crash and burn. He loves the place. So if that means,

1680
01:38:20,800 --> 01:38:26,320
Speaker 13: you know, doing what he can to sort of work

1681
01:38:26,400 --> 01:38:28,840
Speaker 13: with what he's what he has to work, which is

1682
01:38:28,920 --> 01:38:33,240
Speaker 13: the elected mayor. Now you know, but I also got

1683
01:38:33,280 --> 01:38:37,320
Speaker 13: the feeling that you know, and this is again based

1684
01:38:37,400 --> 01:38:39,400
Speaker 13: on just my observations of Trump, and I think most

1685
01:38:39,400 --> 01:38:43,240
Speaker 13: people would agree that Trump has a history of you

1686
01:38:43,280 --> 01:38:46,639
Speaker 13: can make nice with Trump, but you really cross him.

1687
01:38:46,720 --> 01:38:51,200
Speaker 14: He doesn't suffer that gladly, No, no question about it,

1688
01:38:51,280 --> 01:38:52,400
Speaker 14: No question about it.

1689
01:38:52,720 --> 01:38:56,960
Speaker 2: Hey, I wanted to ask that too, with the situation

1690
01:38:57,120 --> 01:39:03,040
Speaker 2: with if you want to possible breaks on the socialism movement,

1691
01:39:03,360 --> 01:39:06,240
Speaker 2: you make the point very well in the article Jannels

1692
01:39:06,240 --> 01:39:09,479
Speaker 2: that the various city councils, especially the one in New

1693
01:39:09,560 --> 01:39:12,880
Speaker 2: York City Mondommie's not going to be able to do

1694
01:39:12,960 --> 01:39:14,280
Speaker 2: whatever the hell he wants.

1695
01:39:14,640 --> 01:39:16,360
Speaker 1: Is that accurate? That's how I'm reading it.

1696
01:39:17,400 --> 01:39:20,400
Speaker 13: Oh yeah, I interviewed a man who very succinctly put

1697
01:39:20,439 --> 01:39:25,120
Speaker 13: it that no single mayor or single person could turn

1698
01:39:25,160 --> 01:39:29,120
Speaker 13: an entire city communist or socialist or whatever you want

1699
01:39:29,120 --> 01:39:32,599
Speaker 13: to call it. And you know, that's what the American

1700
01:39:32,640 --> 01:39:36,280
Speaker 13: system of checks and balances, you know, you know, it's

1701
01:39:36,280 --> 01:39:38,200
Speaker 13: one of the saving graces of our system is that,

1702
01:39:38,600 --> 01:39:40,080
Speaker 13: you know, you can't just go in and make these

1703
01:39:40,120 --> 01:39:44,280
Speaker 13: sweeping changes, like the money is under under perhaps state

1704
01:39:44,360 --> 01:39:47,120
Speaker 13: control for some of these things that he wants to do,

1705
01:39:47,200 --> 01:39:50,519
Speaker 13: like the free bus rides for everybody and things like that.

1706
01:39:51,120 --> 01:39:55,360
Speaker 13: So if you can't get that funding, that proposal is

1707
01:39:55,400 --> 01:39:59,280
Speaker 13: going to go nowhere, right right. So one guy I interviewed,

1708
01:39:59,320 --> 01:40:01,200
Speaker 13: who was the former sheets of staff for the current

1709
01:40:01,240 --> 01:40:05,040
Speaker 13: mayor Eric Adams. He told me that some New New

1710
01:40:05,120 --> 01:40:10,320
Speaker 13: Yorkers really looked like a skance at these proposals and said,

1711
01:40:10,360 --> 01:40:13,160
Speaker 13: wait a minute, this seems misleading. He can't do that,

1712
01:40:15,120 --> 01:40:20,479
Speaker 13: And so he was talking about how to end the article.

1713
01:40:20,560 --> 01:40:24,040
Speaker 13: On a note he pretty much said, you know, although

1714
01:40:24,560 --> 01:40:26,800
Speaker 13: New Yorkers are a little wary about what's going to

1715
01:40:26,840 --> 01:40:30,720
Speaker 13: happen here, the New Yorkers are a tough lot. I

1716
01:40:30,720 --> 01:40:32,880
Speaker 13: think most people kind of know that you don't kind

1717
01:40:32,880 --> 01:40:35,040
Speaker 13: of most New Yorkers are kind of like Trump. They

1718
01:40:35,080 --> 01:40:37,479
Speaker 13: got kind of a rough edge and they they won't

1719
01:40:38,320 --> 01:40:40,240
Speaker 13: they don't put up with people messing around with him

1720
01:40:40,240 --> 01:40:46,040
Speaker 13: too much. And you know, they're resilient, and you know,

1721
01:40:46,040 --> 01:40:48,200
Speaker 13: look at what happened after you know, nine to eleven,

1722
01:40:48,520 --> 01:40:52,719
Speaker 13: you know, and the idea is that he really believes

1723
01:40:52,720 --> 01:40:56,360
Speaker 13: that the city, regardless of what this one mayor does,

1724
01:40:56,680 --> 01:41:00,639
Speaker 13: is going to be quote a robust city and at

1725
01:41:00,640 --> 01:41:05,400
Speaker 13: the center of commerce, culture and tourism despite his politics.

1726
01:41:04,880 --> 01:41:05,080
Speaker 9: You know.

1727
01:41:05,400 --> 01:41:10,200
Speaker 2: And I gotta admit he has an impressive presence. He's

1728
01:41:10,240 --> 01:41:14,000
Speaker 2: only thirty four years old. In the Oval Office, he

1729
01:41:14,120 --> 01:41:18,840
Speaker 2: was standing, Trump was sitting very respectful to the president.

1730
01:41:19,160 --> 01:41:21,120
Speaker 2: I mean, I don't agree with anything he does but

1731
01:41:22,080 --> 01:41:24,840
Speaker 2: or will do. I think the thing of it is, though,

1732
01:41:24,920 --> 01:41:28,200
Speaker 2: it was nice to see a little collegiality for once,

1733
01:41:28,560 --> 01:41:29,560
Speaker 2: and I didn't expect that.

1734
01:41:31,000 --> 01:41:33,719
Speaker 13: Some of Trump's base I don't think was too happy,

1735
01:41:33,920 --> 01:41:38,840
Speaker 13: I know, but you know, I think a lot of

1736
01:41:38,880 --> 01:41:43,120
Speaker 13: Americans would like to see people who are politically opposed

1737
01:41:43,360 --> 01:41:47,960
Speaker 13: able to set aside those differences to get things done.

1738
01:41:50,160 --> 01:41:51,720
Speaker 13: Just enough to do that, and they go back to

1739
01:41:52,160 --> 01:41:52,880
Speaker 13: scrapping if.

1740
01:41:52,760 --> 01:41:53,280
Speaker 6: They need to.

1741
01:41:53,360 --> 01:41:57,080
Speaker 1: You know, I don't get a chance. I really don't.

1742
01:41:57,120 --> 01:42:02,000
Speaker 2: And it busts apart families too, I know all too well.

1743
01:42:02,400 --> 01:42:05,320
Speaker 2: You know, you got family oh way up on the

1744
01:42:05,640 --> 01:42:10,400
Speaker 2: on the top and politics way down. And nobody's ever

1745
01:42:10,439 --> 01:42:13,800
Speaker 2: seen a phenomena like that before. And somebody was saying

1746
01:42:13,840 --> 01:42:16,439
Speaker 2: the other day, and whoever it was, I valued their

1747
01:42:16,439 --> 01:42:22,960
Speaker 2: opinion that the DSM Diagnostic Statistics Manual. I think it's called, uh,

1748
01:42:23,240 --> 01:42:26,559
Speaker 2: they're thinking about making that an actual.

1749
01:42:28,320 --> 01:42:30,679
Speaker 1: I don't know what you call it, mental illness or whatever.

1750
01:42:31,040 --> 01:42:37,320
Speaker 13: I know this yeah, diagnosis. Yeah, you know. All I

1751
01:42:37,320 --> 01:42:40,800
Speaker 13: can say is that it is really sad. I think

1752
01:42:40,800 --> 01:42:43,679
Speaker 13: we all can cite examples from our lives where people

1753
01:42:43,720 --> 01:42:46,759
Speaker 13: have become so polarized that family won't talk to family.

1754
01:42:47,240 --> 01:42:50,840
Speaker 13: Coming up on Thanksgiving tomorrow, you gotta watch what you

1755
01:42:50,960 --> 01:42:53,120
Speaker 13: talk about. But I've even heard that quite a few

1756
01:42:53,160 --> 01:42:58,639
Speaker 13: people have given their their relatives like the brush off.

1757
01:42:58,800 --> 01:43:01,240
Speaker 13: Even if there wasn't an art, if they just found

1758
01:43:01,280 --> 01:43:05,000
Speaker 13: out that, you know, you voted for Biden, I can't

1759
01:43:05,000 --> 01:43:06,360
Speaker 13: talk to you. You voted for Trump.

1760
01:43:06,400 --> 01:43:08,000
Speaker 6: I can't talk to you. You're cut off.

1761
01:43:08,000 --> 01:43:10,040
Speaker 13: I'm not you know, there's no wasn't even an argument.

1762
01:43:10,080 --> 01:43:11,559
Speaker 13: It was just sort of like after they found out

1763
01:43:11,760 --> 01:43:15,519
Speaker 13: the political leanings, the family's pretty much had an emotional divorce.

1764
01:43:15,560 --> 01:43:16,760
Speaker 11: I guess you could call it right.

1765
01:43:17,160 --> 01:43:20,120
Speaker 2: Well, I'll tell you what. And you see that on

1766
01:43:20,160 --> 01:43:22,680
Speaker 2: the left quite a bit. But I've never seen a

1767
01:43:22,720 --> 01:43:26,080
Speaker 2: case where and I'm sure there are some out there

1768
01:43:26,400 --> 01:43:29,960
Speaker 2: where a Republican said, hey, man, you know you voted

1769
01:43:30,320 --> 01:43:31,839
Speaker 2: against what I wanted.

1770
01:43:32,080 --> 01:43:35,439
Speaker 1: You voted for Kamala. I'm done with you. It's all

1771
01:43:35,680 --> 01:43:41,439
Speaker 1: on the other side. It seems like, well that's what

1772
01:43:41,560 --> 01:43:42,280
Speaker 1: I've heard.

1773
01:43:42,080 --> 01:43:44,640
Speaker 13: But I don't have any evidence to support that. But

1774
01:43:44,640 --> 01:43:48,320
Speaker 13: I like away from that. But if we have another minute,

1775
01:43:48,360 --> 01:43:49,880
Speaker 13: like there's something I wanted to raise.

1776
01:43:50,040 --> 01:43:53,439
Speaker 1: Yes, we do have just about a minute.

1777
01:43:53,520 --> 01:43:57,080
Speaker 13: Ye, what I'm working on right now. So I just

1778
01:43:57,160 --> 01:44:01,600
Speaker 13: turned in a story that is really really fascinating that

1779
01:44:01,760 --> 01:44:07,720
Speaker 13: talks about the massive welfare fraud that is happening in Minnesota.

1780
01:44:08,479 --> 01:44:09,880
Speaker 6: Oh yeah, two years.

1781
01:44:09,640 --> 01:44:12,320
Speaker 1: Of dollars the Somalians that were supposed.

1782
01:44:11,960 --> 01:44:15,439
Speaker 13: To go to hungry kids, right the homes, et cetera.

1783
01:44:16,040 --> 01:44:19,439
Speaker 13: And Somalis were getting a hold with money by filing

1784
01:44:19,600 --> 01:44:23,120
Speaker 13: fraudulent claims, sending a lot of it back to Somalia

1785
01:44:23,600 --> 01:44:27,360
Speaker 13: and allegedly this is being investigated ending up in the

1786
01:44:27,400 --> 01:44:31,000
Speaker 13: hands of terrorists there that mean harmony.

1787
01:44:30,640 --> 01:44:31,280
Speaker 6: The United States.

1788
01:44:31,439 --> 01:44:33,760
Speaker 2: Yeah, I mean, so I read a little bit. It's

1789
01:44:33,880 --> 01:44:38,439
Speaker 2: unbelievable they're doing all this stuff with our money. It's

1790
01:44:38,560 --> 01:44:41,600
Speaker 2: just how that could have happened is beyond me.

1791
01:44:42,320 --> 01:44:43,280
Speaker 1: So you wrote about it.

1792
01:44:43,600 --> 01:44:46,880
Speaker 13: Is that what you're saying and hasn't been published yet.

1793
01:44:47,520 --> 01:44:50,280
Speaker 13: It is now making its way through our system. But

1794
01:44:50,360 --> 01:44:53,599
Speaker 13: I'm actually going to be doing a really in death

1795
01:44:53,600 --> 01:44:56,080
Speaker 13: support on that as well. Some of these scannels have

1796
01:44:56,160 --> 01:44:59,880
Speaker 13: been actually brewing. Charges were initially filed in twenty twenty

1797
01:45:00,000 --> 01:45:03,320
Speaker 13: two in one case and there are now seventy eight

1798
01:45:03,439 --> 01:45:08,040
Speaker 13: defendants charge. Wow, with that one scandal one of the

1799
01:45:08,160 --> 01:45:12,280
Speaker 13: three major scandals, and several more minor scandals too.

1800
01:45:12,320 --> 01:45:12,639
Speaker 4: Wow.

1801
01:45:12,880 --> 01:45:14,360
Speaker 1: Boy, that's going to be one to watch.

1802
01:45:14,760 --> 01:45:17,640
Speaker 2: Janis really appreciates you coming in and filling us in

1803
01:45:17,800 --> 01:45:20,200
Speaker 2: on all this and hope we can call on you again.

1804
01:45:21,920 --> 01:45:24,840
Speaker 13: Well sure, and I hope everybody has a great Thanksgiving.

1805
01:45:25,280 --> 01:45:26,759
Speaker 13: Play nice at the dinner table.

1806
01:45:26,840 --> 01:45:30,479
Speaker 1: People, you have a great Thanksgiving, Janis, thank you so much.

1807
01:45:31,800 --> 01:45:32,479
Speaker 6: Uh Hi, thank you.

1808
01:45:32,880 --> 01:45:36,560
Speaker 2: Okay, all right, I'm overtime here. I did want to

1809
01:45:36,640 --> 01:45:39,479
Speaker 2: thank my great producer, Big Dave Keaton.

1810
01:45:39,840 --> 01:45:40,679
Speaker 1: I will be back.

1811
01:45:40,560 --> 01:45:44,760
Speaker 2: Tomorrow noon to three Willie shift, So have some good

1812
01:45:44,800 --> 01:45:48,679
Speaker 2: guests and hopefully some calls. Mike Allen seven hundred WLW