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Speaker 1: In case you didn't hear, let me be the first

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Speaker 1: to tell you. Don Lemon.

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Speaker 2: Don Lemon, former CNN anchor, has been arrested by federal

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Speaker 2: authorities in Los Angeles.

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Speaker 1: This happened last night.

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Speaker 2: It's in connection with that protest at that Minnesota church

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Speaker 2: service that took place on January eighteenth. Now there have

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Speaker 2: been some other arrests. Three other people were also taken

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Speaker 2: into custody. And that protest was targeting city's church in

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Speaker 2: Saint Paul, Minnesota, where a pastor allegedly works with Ice.

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Speaker 2: Lemon had been covering the event as a journalist.

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Speaker 3: Yeah, he was indicted by a grand jury in Minnesota.

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Speaker 3: He hasn't been a rain yet, but it's expected that

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Speaker 3: he'll be charged with conspiracy to deprive rights and a

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Speaker 3: violation of the Face Act, which prohibits interfering in someone

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Speaker 3: else's right to worship. He also an official said that

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Speaker 3: he could possibly be charged further. This was a statement

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Speaker 3: from one of the attorney generals that said that he

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Speaker 3: could be charged with the ku Klux Klan Act, which

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Speaker 3: prohibits people from violently opposing other people's civil rights. I

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Speaker 3: didn't even know there was a ku Klux Klan Act.

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Speaker 3: But apparently they're considering that charge against Don Lemon as well.

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Speaker 2: He has yet to be arraigned, so not officially charge,

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Speaker 2: just arrested.

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Speaker 3: But he has been indicted by a grand jury in

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Speaker 3: the state of Minnesota.

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Speaker 1: Okay.

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Speaker 2: Household incomes have risen nationwide over the past fifty years,

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Speaker 2: but growth has been uneven across the United States. We've

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Speaker 2: got a list of the top growth states and the

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Speaker 2: lowest growth states. So where has income risen the most

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Speaker 2: across the country?

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Speaker 1: Not here? Not here in Indiana.

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Speaker 2: Yeah, Utah with a seventy eight percent increase.

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Speaker 1: Lots of people going to Utah.

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Speaker 2: The median income for someone in Utah ninety three four

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Speaker 2: hundred and twenty one dollars.

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Speaker 4: None but rich people going to Utah? Good them moving there? Yeah? Maybe?

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Speaker 2: Yeah.

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Speaker 3: You think if you just show up there you become rich, right,

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Speaker 3: or you have to be rich before you moved there.

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Speaker 2: Colorado, New Hampshire, California, Arizona, and Virginia also top a

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Speaker 2: list of growth states lowest growth with the exception of Virginia,

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Speaker 2: all include Midwestern states.

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Speaker 1: Yeah, we're in there.

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Speaker 2: The average medium income for people in the Midwest fifty

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Speaker 2: five nine hundred forty eight dollars.

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Speaker 1: Mississippi. By the way, I.

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Speaker 3: Was going to guess, should have played the game the

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Speaker 3: contest with you. Let me guess what the answer is,

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Speaker 3: because I would have guessed Mississippi and the.

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Speaker 2: Average Mississippi fifty four two hundred three dollars. Interesting states

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Speaker 2: with colder climates and higher property taxes tended to see

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Speaker 2: more growth.

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Speaker 4: Well, that's because the richer people can't afford to live there.

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Speaker 4: They can afford the higher property Exactly, you can afford

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Speaker 4: the cost of living in that areas.

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Speaker 1: If you're rich.

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Speaker 2: Speaking of the cost of housing and high property taxes,

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Speaker 2: Donald Trump wants how housing prices to rise, not fall.

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Speaker 1: He says this is a move.

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Speaker 2: To protect current homeowners and their wealth.

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Speaker 1: It's number seven, Kevin, Can we play that clip? He said.

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Speaker 2: He aims to make buying easier by lowering interest rates

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Speaker 2: without reducing home values.

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Speaker 5: Existing housing people that own their homes, we're going to

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Speaker 5: keep them wealthy. We're going to keep those prices up.

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Speaker 5: We're not going to destroy the value of their homes

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Speaker 5: so that somebody that didn't work very hard can buy

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Speaker 5: a home. We're going to get We're going to make

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Speaker 5: it easier to buy. We're going to get interest rates down.

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Speaker 5: But I want to protect the people that, for the

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Speaker 5: first time in their lives feel good about themselves. They

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Speaker 5: feel like they've you know, that they're wealthy people, and

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Speaker 5: I want them to understand it. You know, there's so

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Speaker 5: much talk about, oh, we're going to drive housing prices down.

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Speaker 5: I don't want to drive housing prices down. I want

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Speaker 5: to drive housing prices up for people that own their

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Speaker 5: homes and they can be assured that's what's going to happen.

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Speaker 2: Trump recently opposed using four oh one case savings account

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Speaker 2: for home down payments. He cited protection of existing homeowner's wealth.

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Speaker 2: That's interesting. It's not going to make a lot of

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Speaker 2: people happy, but there's no making anybody happy. It's very

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Speaker 2: hard to please people, right because if prices are low,

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Speaker 2: they're going to be mad that the value goes down.

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Speaker 2: But if prices are high, they're mad that their property

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Speaker 2: taxes are high.

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Speaker 3: You know, in some aspects, this is this was one

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Speaker 3: of the reasons why people love Donald Trump because he's

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Speaker 3: totally unfiltered. He's like the first politician that's ever came

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Speaker 3: out and spoken the truth on this, and that is

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Speaker 3: if we create more affordable housing, that is going to

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Speaker 3: drag down the housing prices of existing homes. But nobody's

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Speaker 3: been willing to come out there and say that so,

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Speaker 3: and the idea that lowering interest rates will magically take

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Speaker 3: expensive homes and make them more affordable just isn't true

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Speaker 3: at all. But that is what's so wild about this

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Speaker 3: is that he came out and said the honest truth.

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Speaker 4: He's not even.

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Speaker 3: Pretending that goal, that the goal of all of this

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Speaker 3: is affordability. He's saying the quiet part out loud. I

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Speaker 3: want interest rates to I want a housing prices to

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Speaker 3: rise because that benefits everybody that owns a house. And

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Speaker 3: we've kind of known about this for a while because

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Speaker 3: most of what keeps housing prices high are the local regulations,

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Speaker 3: zoning regulations that happen in your individual communities. There's a

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Speaker 3: lot of zoning regulations to where if you're a developer

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Speaker 3: and you want to develop some area and create housing,

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Speaker 3: well they're going to require well it can't be more

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Speaker 3: than three stories tall, or if you build a duplex

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Speaker 3: or a quadplex, you can only have so many units,

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Speaker 3: when the fact of the matter is that the more

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Speaker 3: units you build, this you get greater scale and the

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Speaker 3: affordability and the cheaper price. The price comes down on

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Speaker 3: that housing. But Donald Trump is saying just the opposite.

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Speaker 3: So he's gonna make a lot of people mad because

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Speaker 3: Democrats are gonna come out and say, no, we want

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Speaker 3: cheap housing for everybody. And when you say, okay, great,

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Speaker 3: what are you gonna do about it, They're gonna say stuff.

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Speaker 4: You know I'm gonna do. We're gonna do things.

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Speaker 3: And stuff, and it's not gonna make any difference, so whatsoever.

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Speaker 3: It's really we're stuck in a really difficult situation here

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Speaker 3: because there is no way to create more affordable housing

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Speaker 3: without dragging down existing home prices.

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Speaker 2: The median US home price in November of twenty twenty five, yeah,

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Speaker 2: four hundred and thirty three thousand dollars.

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Speaker 4: That's nationwide, nationwide, four one hundred and thirty three thousand dollars.

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Speaker 2: Yeah, and this year it's supposed to have an increase

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Speaker 2: of one point nine percent. So there may be a

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Speaker 2: housing market slump currently, but sales of one particular group

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Speaker 2: is skyrocketing.

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Speaker 4: Yeah, what's that?

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Speaker 2: Houses over ten million dollars the ultra luxury segment.

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Speaker 1: Can you imagine that well, this is booming again.

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Speaker 3: Part of what we talked about, this is a K

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Speaker 3: shaped recovery or a K shaped economy that we're in.

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Speaker 3: If you think about it, one of the arms sticking

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Speaker 3: out of the K goes up and the other one

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Speaker 3: goes down, and we've got kind of two economies that

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Speaker 3: are running here to where if you own assets, if

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Speaker 3: you own a house and you've got some equity, if

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Speaker 3: you own stocks, if you own a small business, asset,

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Speaker 3: youse keep going up, so your wealth COEs up. But

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Speaker 3: if you're relying on your income from your job every

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Speaker 3: day to create wealth, that's where people are struggling because

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Speaker 3: the wages have not kept up with inflation, so higher

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Speaker 3: food prices and higher energy prices and cars are more expensive.

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Speaker 3: In my taxes, especially property taxes keep going up and

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Speaker 3: up and up. If you've got this asset base, stocks,

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Speaker 3: a house, a small business you own, you can manage

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Speaker 3: those increases a lot better than if you're just relying

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Speaker 3: on your income.

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Speaker 2: What's it like to have ten million dollars so to

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Speaker 2: buy a house? I mean that's you know, that's a huge,

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Speaker 2: enormous house, right, what's that feeling? I can't do you

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Speaker 2: even look at your bank account. If you've got that

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Speaker 2: kind of money, do you even consider where you're at?

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Speaker 1: You're like, I'm good.

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Speaker 3: Someone once told me that rich people make decisions for

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Speaker 3: reasons that we will never understand, and I thought that

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Speaker 3: was very wise. I can't can't even imagine what it's

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Speaker 3: like to have the kind of money where I can

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Speaker 3: spend ten million dollars on a single property.

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Speaker 2: So Fernando Mendoza, he was on a podcast recently and

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Speaker 2: he was talking about a nickname that he's been given.

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Speaker 2: It's number eight Kevin. Yeah, you've got it all right,

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Speaker 2: here is for Nando Mendoza talking about his nickname.

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Speaker 4: I have a lot of nicknames, all right. So people

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Speaker 4: call me Nando.

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Speaker 3: Some people call me Mendoza just because that's how the

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Speaker 3: last name, the Jersey kind of Nando.

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Speaker 4: You know.

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Speaker 3: One of the nicknames I liked a lot was Massar

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Speaker 3: Wars fans, so from some of my friends who call

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Speaker 3: me the Shout, the Ratinas, the Nando Lorian. Yes, I

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Speaker 3: mean I'm pushing that name out there.

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Speaker 1: I met Nando.

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Speaker 3: I love that because you if you've ever been around,

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Speaker 3: especially a bunch of guys that is He just explained

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Speaker 3: how nicknames involved evolved. So his name is, you know, Mendoza.

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Speaker 3: He got the name Nando, and that was the nickname

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Speaker 3: I'm sure for a while, and then all of a

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Speaker 3: sudden it expanded from Nando to Nandalorian, obviously a takeoff

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Speaker 3: on the Star Wars series the Mandalorian. Do groups of

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Speaker 3: women do nicknames like guys do, not.

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Speaker 2: So much the last name like guys do, But I

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Speaker 2: mean nicknames in general.

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Speaker 3: Is that a thing in like groups of women, because

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Speaker 3: it's a big thing in groups of guys, guy friend

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Speaker 3: groups and guy group chats.

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Speaker 4: It's usually nobody's calling each other by their real names.

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Speaker 4: What are we doing here?

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Speaker 2: More more prevalent with their children. For example, you know

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Speaker 2: our daughter Emily, Yeah, yeah, have a caller Emilita, Mama,

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Speaker 2: Sita Doodle another nickname that you know, I have for her,

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Speaker 2: which became Dudele.

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Speaker 3: I get that that's parents and a family dynamic doing it.

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Speaker 3: But this seems to be kind of bro culture and

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Speaker 3: things that guys do give each other nicknames and then

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Speaker 3: expand upon them and take them from Nando to the Nandalorian.

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Speaker 2: Many people are saying that once Fernando Mendoza's football.

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Speaker 1: Career is over. He'll be in the media for sure.

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Speaker 4: Are we already That's what we're doing.

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Speaker 1: We've already got him done playing.

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Speaker 3: For right exactly his NFL career. He's already over, and

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Speaker 3: we're trying to figure out what he's going to do next.

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Speaker 1: We're already moving on to that's.

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Speaker 3: Where do you think he's going to retire at when

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Speaker 3: he's when he's sixty five years old?

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Speaker 1: It's what we're working.

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Speaker 4: Can we let the guy just have the moment and

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Speaker 4: the fun.

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Speaker 3: He won the Heisman Trophies, the national champion, he's got

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Speaker 3: to be the number one pick.

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Speaker 4: Just enjoyed the moment that we're living in and quit.

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Speaker 3: Trying to force feed us what might happen in ten

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Speaker 3: or fifteen years.

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Speaker 1: What was the video? Who was the video? Who produced

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Speaker 1: that video? You showed me this morning?

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Speaker 3: Okay, So the College Football Playoff Committee runs their own

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Speaker 3: independent social media accounts, and they pushed out last night.

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Speaker 3: I saw this around eleven o'clock last night, when I

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Speaker 3: was aimlessly sprolling social media right before going to bed.

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Speaker 4: They produced.

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Speaker 3: Of course, we're all familiar with the famous run that

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Speaker 3: he had the National Championship game. We've seen it from

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Speaker 3: every angle, tons of low production and high production examples

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Speaker 3: out there. But the College Footballlayoff Committee, I know it's

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Speaker 3: on their Twitter and it's on their TikTok account, produced

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Speaker 3: what I think is the best version of that. It's

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Speaker 3: a really tight shot of just him. It's like four

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Speaker 3: K video. It's Chris Heitz beautiful. That uses the music

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Speaker 3: from the movie Moneyball behind it, so it's got this

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Speaker 3: very cinematic in appearance to it. It's fantastic. Go check

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Speaker 3: out the College Football Playoffs Twitter and TikTok account.

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Speaker 4: The video is posted there.

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Speaker 3: It's the best version of his famous national championship game

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Speaker 3: run that I've seen today, and believe me, I've seen

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Speaker 3: them all. I've spent the last week doing nothing but

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Speaker 3: watching highlights of the Hoosiers national championship win.

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Speaker 1: Be honest, how many times did you watch it?

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Speaker 4: Well?

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Speaker 3: I sat there, I kept going over it again and again.

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Speaker 3: I probably watched it forty or fifty times.

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Speaker 4: And that's not a joke. Now, it's short, it's probably.

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Speaker 3: Only fifteen or twenty seconds, but it was so fascinating

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Speaker 3: to me because there's different things that you see in

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Speaker 3: it every time you watch it. If you look at

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Speaker 3: different things, like, for example, that first little juke move

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Speaker 3: he makes, he steps over center Pat Coogan's legs and

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Speaker 3: you can see because it's in slow motion. For Nando Mendoza,

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Speaker 3: he's like looking at the ground making sure I'm not

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Speaker 3: tripping over this guy's legs. Okay, I'm past that. Now

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Speaker 3: I'm looking up again. I watched it a bunch of

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Speaker 3: other times where I just watched the crowd reactions in

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Speaker 3: the background, and that was fun because as soon as

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Speaker 3: he started to run, you saw one guy, there's thousands

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Speaker 3: of people in the crowd. One guy put his arms up,

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Speaker 3: and then he got to the first down marker and

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Speaker 3: a bunch of other people put their arms up, and

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Speaker 3: then by the time he was in the end zone,

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Speaker 3: the whole stadium had their arms up.

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Speaker 4: It's a great, great video clip.

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Speaker 2: You're listening to ninety three WYBC. Did you ever take

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Speaker 2: the Pepsi challenge when you were younger? Oh?

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Speaker 3: Yeah, absolutely, I did so. I was probably about seven

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Speaker 3: or eight years old, and I was at the mall

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Speaker 3: with my mom and probably my brothers and sisters, and

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Speaker 3: they had this little kiosk set up and they were

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Speaker 3: doing the Pepsi challenge. This would have been the early eighties,

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Speaker 3: and I lost my mind. As a seven or eight

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Speaker 3: year old, I was like, Mom, I gotta take the

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Speaker 3: Pepsi challenge. I can't believe we saw it. I can't

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Speaker 3: believe that. I can't believe the pepsi people are here.

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Speaker 4: They're here. I gotta take the pepsi And.

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Speaker 3: There was a really long line, and so I was

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Speaker 3: like begging my mom and trying to convince her, let

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Speaker 3: me stand in line and take the Pepsi challenge.

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Speaker 4: And she did.

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Speaker 3: And I got up there, took the Pepsi challenge. And

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Speaker 3: I recall specifically, I chose pepsi. You did, which is

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Speaker 3: what a stupid seven year old would do, is choose pepsi,

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Speaker 3: because of course, now that I'm an adult, I know

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Speaker 3: the right answer is coke. And it's not even close.

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Speaker 3: What are we talking about here? Why are we still

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Speaker 3: talking about this? And we're gonna do the story about

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Speaker 3: pepsi here in just a second. But I just find

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Speaker 3: it fascinating that pepsi is still battling coke all these

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Speaker 3: years later.

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Speaker 1: Yeah, they are.

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Speaker 2: And that's interesting that you picked pepsi. It tastes more

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Speaker 2: sugary to me.

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Speaker 4: It tastes sweeter.

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Speaker 3: So as a seven year old, yeah, I mean, I'm

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Speaker 3: all about what a jam as much sugar into my

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Speaker 3: body as I could when I was seven years old.

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Speaker 2: I think Pepsi is trying to bring back the rivalry

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Speaker 2: and they're doing it by hijacking Coke's Polar Bear mascot.

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Speaker 2: They have released their Super Bowl ad and it's definitely

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Speaker 2: restarting the Soda Wars. They have the iconic Coke Polar

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Speaker 2: Bear in their ad and the Polar Bear is doing

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Speaker 2: the Pepsi.

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Speaker 1: Challenge as he should, and he picks Pepsi.

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Speaker 4: There's shocker.

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Speaker 2: Yeah, let's take a listen to it. And you've got

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Speaker 2: the polar Bear starting out.

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Speaker 1: He's blindfolded. He's sitting there and you've.

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Speaker 2: Got a pepsi and a cold in front of you.

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Speaker 2: And then he goes to see a psychiatrist.

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Speaker 1: You're not the only one.

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Speaker 2: This can be heavy. And then you see him walking

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Speaker 2: down the street. He's looking lost, comes across a table

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Speaker 2: of young people all drinking Pepsi and he feels like.

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Speaker 1: Oh, I found my people, and then all.

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Speaker 2: Of a sudden, a female Polar Bear appears, Hey now,

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Speaker 2: and she hands him a Pepsi, they go to a

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Speaker 2: concert together, and then there's.

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Speaker 3: The viral play on the viral cold Play concert.

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Speaker 2: Issue, and that's how the commercial ends. Is it too

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Speaker 2: late for the Coldplay reference? Have we moved on from that? No?

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Speaker 3: I think it's still valid, especially for what's probably going

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Speaker 3: to be a short run Super Bowl commercial.

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Speaker 4: But and again, like we talked about earlier.

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Speaker 3: How we're you losing our grip on society here because

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Speaker 3: these companies are releasing their super Bowl commercials before the

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Speaker 3: super Bowl.

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Speaker 4: Totally ruining it for us. That's number one.

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Speaker 3: I guess it kind of makes sense from Pepsi standpoint

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Speaker 3: because the the I guess that the Coca Cola Polar

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Speaker 3: Bear isn't trademarked, and I guess that's how, or at

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Speaker 3: least if it is trademarked, Pepsi created a polar Bear

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Speaker 3: that was different, different, and not different enough to where

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Speaker 3: they wouldn't face a trademark warning on this. This is

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Speaker 3: all part of Pepsi kind of relaunching the Pepsi Challenge.

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Speaker 3: Interestingly enough, this time around, they're doing it with Pepsi

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Speaker 3: zero and Coke zero as opposed to the normal ones,

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Speaker 3: because that's the big growth area.

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Speaker 4: But I thought this was over.

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Speaker 3: I thought we decided as a society long ago, Coke

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Speaker 3: is better.

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Speaker 4: Coke has won the Cola Wars.

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Speaker 3: We decided it like thirty years ago, and Pepsi's always

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Speaker 3: going to be number two. But Pepsi keeps barking up

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Speaker 3: this tree and trying to conquer Coke.

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Speaker 2: I guess it's been fifty years since the original Pepsi Challenge.

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Speaker 3: That's why they're doing it this year. It's the fiftieth anniversary.

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Speaker 1: Fiftieth three right.

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Speaker 4: To celebrate the fiftieth anniversary and.

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Speaker 1: The Pepsi channel. Who have no idea what this is about, I'd.

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Speaker 4: Say most young people would have.

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Speaker 3: In fact, I'd say there's probably a lot of old

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Speaker 3: people that were, you know, too young at the time

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Speaker 3: to remember that the Pepsi Challenge existed. But that was

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Speaker 3: a big that was a huge piece of pop culture.

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Speaker 3: Everybody knew the Pepsi Challenge. Everybody was talking about the

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Speaker 3: Pepsi Challenge. So this is the fiftieth anniversary and Pepsi

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Speaker 3: is bringing it back and launching it at the Super

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Speaker 3: Bowl by stealing Coca Cola's polar Bear.

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Speaker 2: The interesting thing about this ad is they used live

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Speaker 2: action and CGI, and they did not use AI at all.

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Speaker 4: What's the difference between CGI and.

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Speaker 1: AI with the technology?

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Speaker 3: No, but I mean, is there really any difference between

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Speaker 3: CGI and AI.

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Speaker 4: They're both computer generated.

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Speaker 3: There's this idea in the culture that well, clearly that

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Speaker 3: polar Bear is not real, though well trained to do that.

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Speaker 3: But I think that's what's part of so silly, is

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Speaker 3: that this culture has decided AI bad, no good. AI

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Speaker 3: should never use it yet CGI, Oh, we'll make a

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Speaker 3: bunch of phony graphics with a computer. That's totally fine.

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Speaker 1: You've got PEPSI.

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Speaker 2: They're also repositioning saying that this is a cultural moment,

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Speaker 2: not just a Super Bowl moment, and that's one of

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Speaker 2: the reasons why they released the commercial so early.

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Speaker 3: PEPSI would love it if this would be a cultural moment.

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Speaker 3: I think that's what they're trying to get to. I

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Speaker 3: don't know what you think it is. I don't know

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Speaker 3: if it's there yet either, trying to tap onto that

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Speaker 3: nostalgia and the previous cultural moment, which was fifty years

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Speaker 3: ago when they first introduced the Pepsi challenge. It'll be

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Speaker 3: interesting to see how far they get with it in

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Speaker 3: this iteration this time around, let's.

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Speaker 2: Mention the US air traffic control system. It's getting an overhaul.

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Speaker 2: So yesterday was the one year anniversary of that Blackhawk

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Speaker 2: and American Airlines collision near Reagan National Airport. Oh yeah,

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00:17:48,200 --> 00:17:52,159
Speaker 2: sixty seven people were killed in that accident, and it

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Speaker 2: brought attention to the aging US air traffic control system.

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Speaker 2: There are some planned upgrades, and those include communication and radar.

390
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Speaker 2: Twenty seven thousand new radios for air to ground communication.

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Speaker 2: They're going to be replacing old copper lines with fiber,

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Speaker 2: satellite and wireless systems. Also six hundred and twelve state

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Speaker 2: of the art radars to replace the outdated units. They

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Speaker 2: want to do that by twenty twenty eight and forty

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Speaker 2: four different airports are going to receive new surface radar systems.

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Speaker 2: Two hundred airports are going to get surface awareness initiative surveillance.

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Speaker 1: There's a lot of big words there. Huh.

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Speaker 3: There was a period of time where I wanted to

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Speaker 3: be an air traffic controller.

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Speaker 1: Oh gosh, because I reach a high stress job.

401
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Speaker 3: I remember meeting no I remember meeting somebody and he

402
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Speaker 3: was an air traffic controller, and I was fascinated by it.

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Speaker 1: You have chain smoking cigarettes, guzzling caffeine.

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00:18:45,320 --> 00:18:48,520
Speaker 4: Yeah, okay, maybe what's wrong with that? That sounds greatressed

405
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Speaker 4: out all sounds amazing, but I was fascinated.

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Speaker 3: So I kept peppering in with questions about what it's

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Speaker 3: like to be an air traffic controller and what his

408
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Speaker 3: job is like on a day to day basis, and

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Speaker 3: I was fascinated by it because you've really got to

410
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Speaker 3: be dialed in, like those people have to be ultra

411
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Speaker 3: focused on what's going on, and so they work really

412
00:19:05,040 --> 00:19:08,600
Speaker 3: intensely for eight hours a day. And I looked into

413
00:19:08,640 --> 00:19:10,720
Speaker 3: it more and it turns out you have to be

414
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Speaker 3: thirty one years or younger to apply for your first

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Speaker 3: job as an air traffic controller.

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Speaker 4: And you were past that and I was past that age.

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Speaker 3: So my dreams, absolutely, my dreams of becoming an air

418
00:19:22,480 --> 00:19:25,920
Speaker 3: traffic controller crushed because I didn't meet this guy until

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Speaker 3: I was over thirty one years old.

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Speaker 2: Well, if you're interested, the FAA expects to hire about

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Speaker 2: eighty nine hundred new controllers by twenty twenty eight.

422
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Speaker 4: As long as your thirty one years are younger.

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Speaker 2: Right, seven thousand of them are expected to retire within

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Speaker 2: this same period.

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Speaker 3: And by the way, the maximum age they force air

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Speaker 3: traffic controllers into retirement when they hit age fifty six.

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Speaker 1: Yeah, that sounds all.

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Speaker 4: I'd love to retire in fifty six. This job's perfect

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Speaker 4: for me. Too late for me, Yeah, I got cooked.

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Speaker 1: It is ninety three WIBC.

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Speaker 2: They're trying to make sure that they match a bill

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Speaker 2: that would alter the state's definition of hemp to match

433
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Speaker 2: the federal definition of hemp.

434
00:20:09,640 --> 00:20:11,760
Speaker 1: It recently passed the Indiana Senate.

435
00:20:12,119 --> 00:20:16,240
Speaker 2: It's now going to move to the Indiana House of Representatives.

436
00:20:16,480 --> 00:20:19,280
Speaker 2: And what are they trying to do also with this

437
00:20:19,359 --> 00:20:22,800
Speaker 2: bill besides making the definition match on this from the

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Speaker 2: state level to the federal level. They've got some provisions

439
00:20:26,080 --> 00:20:29,800
Speaker 2: in this bill. It's Center Bill two fifty, and they

440
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Speaker 2: want some restrictions for.

441
00:20:31,320 --> 00:20:33,080
Speaker 1: Anybody who is under twenty one.

442
00:20:33,200 --> 00:20:37,199
Speaker 2: Anyone under twenty one can't enter stores that primarily sell

443
00:20:37,480 --> 00:20:42,040
Speaker 2: tobacco or THC products, and they also can't purchase hemp

444
00:20:42,080 --> 00:20:46,520
Speaker 2: based THHC products, and they have to show ID for purchases.

445
00:20:46,800 --> 00:20:52,360
Speaker 3: Indiana lawmakers love doing this. They love regulating cannabis adjacent

446
00:20:52,520 --> 00:20:57,520
Speaker 3: products but refusing to touch anything related to the cannabis

447
00:20:57,520 --> 00:21:01,040
Speaker 3: direct product marijuana. Yeah, exactly, Despite the fact that We've

448
00:21:01,080 --> 00:21:05,879
Speaker 3: got either recreational or medical or both legalized in every

449
00:21:05,920 --> 00:21:09,840
Speaker 3: state that touches us. Illinois, Kentucky, Ohio, and Michigan. All

450
00:21:09,840 --> 00:21:12,720
Speaker 3: of those states are generating millions in tax dollars from

451
00:21:12,760 --> 00:21:15,720
Speaker 3: the sale of real marijuana. Indiana, of course still not

452
00:21:15,840 --> 00:21:18,119
Speaker 3: touching that. But some context here this goes back to

453
00:21:18,800 --> 00:21:22,600
Speaker 3: what's called delta eight, and it is it is similar

454
00:21:22,640 --> 00:21:26,439
Speaker 3: to THHC in the way that normal marijuana reacts, but

455
00:21:26,520 --> 00:21:29,439
Speaker 3: it's not quite as powerful, and it's they've kind of

456
00:21:29,440 --> 00:21:31,879
Speaker 3: found a loophole in the law and to where you

457
00:21:31,880 --> 00:21:34,040
Speaker 3: can go into stores and buy this today. Think of

458
00:21:34,040 --> 00:21:38,160
Speaker 3: it as potlight. Remember I'm going to date age myself here,

459
00:21:38,160 --> 00:21:40,280
Speaker 3: But way back, way back when, I think in the

460
00:21:40,320 --> 00:21:44,040
Speaker 3: seventies in certain states had two three beer. I think

461
00:21:44,040 --> 00:21:45,679
Speaker 3: that's what it was called two three beer, and if

462
00:21:45,680 --> 00:21:47,919
Speaker 3: you were eighteen years old you could drink that. And

463
00:21:47,920 --> 00:21:50,040
Speaker 3: it was called two three I think because it had

464
00:21:50,200 --> 00:21:53,960
Speaker 3: two thirds of the alcohol of a normal beer. So

465
00:21:54,000 --> 00:21:56,480
Speaker 3: if you think of that, that's kind of what delta

466
00:21:56,520 --> 00:22:00,479
Speaker 3: eight is like. It's like it's marijuana light. Part of

467
00:22:00,520 --> 00:22:03,200
Speaker 3: this is creating regulations associated with.

468
00:22:03,200 --> 00:22:07,239
Speaker 2: That high THHC products are banned currently in Indiana, and

469
00:22:07,280 --> 00:22:11,720
Speaker 2: speaking of the federal alignment, if marijuana is reclassified federally,

470
00:22:12,200 --> 00:22:16,199
Speaker 2: the Indiana legislature, not automatic law, would decide whether to

471
00:22:16,240 --> 00:22:19,520
Speaker 2: follow suit. So they could reclassify it on a federal level,

472
00:22:19,800 --> 00:22:22,919
Speaker 2: but here in Indiana, it doesn't mean it automatically changes.

473
00:22:22,960 --> 00:22:24,359
Speaker 1: They would have to readdress that.

474
00:22:24,320 --> 00:22:26,320
Speaker 3: Right, so that would be another thing. So I mean,

475
00:22:26,320 --> 00:22:31,719
Speaker 3: I guess this is Indiana legislators following Washington's lead on

476
00:22:31,760 --> 00:22:34,600
Speaker 3: this when they don't have to. I didn't know that

477
00:22:34,640 --> 00:22:36,720
Speaker 3: there was a huge demand to shut this down. And

478
00:22:36,760 --> 00:22:39,280
Speaker 3: again they're sitting here messing around with all of these

479
00:22:39,280 --> 00:22:43,600
Speaker 3: cannabis adjacent industries and products and yet refusing to address

480
00:22:43,640 --> 00:22:46,920
Speaker 3: the one thing that is very popular by all polling

481
00:22:46,960 --> 00:22:49,080
Speaker 3: that's been done in the last several years.

482
00:22:49,200 --> 00:22:51,520
Speaker 4: At the very least, Hoosiers.

483
00:22:51,200 --> 00:22:54,720
Speaker 3: Want medical marijuana to be legalized in the state of Indiana.

484
00:22:54,840 --> 00:22:58,119
Speaker 2: Louisville is set to open their first medical marijuana dispensary

485
00:22:58,400 --> 00:23:02,639
Speaker 2: you had mentioned in Kentucky. It's only medicinal marijuana and

486
00:23:02,760 --> 00:23:06,160
Speaker 2: the store is going to open tomorrow and they say

487
00:23:06,160 --> 00:23:10,080
Speaker 2: they're providing state compliant, lab tested medical cannabis only for

488
00:23:10,200 --> 00:23:14,159
Speaker 2: registered patients using a patient guided model.

489
00:23:14,320 --> 00:23:17,879
Speaker 3: I'm going to guess that that bridge from Indiana to

490
00:23:18,000 --> 00:23:20,119
Speaker 3: Kentucky right there in Louisville is going to get a

491
00:23:20,160 --> 00:23:21,959
Speaker 3: lot of action with this store opening.

492
00:23:21,960 --> 00:23:23,040
Speaker 4: There are going to be a lot of people in

493
00:23:23,080 --> 00:23:23,760
Speaker 4: southern Indiana.

494
00:23:23,920 --> 00:23:24,160
Speaker 2: Weird.

495
00:23:24,160 --> 00:23:26,040
Speaker 1: Boston traffics started picking up.

496
00:23:26,560 --> 00:23:26,919
Speaker 4: Weird.

497
00:23:27,000 --> 00:23:29,080
Speaker 3: That's a toll bridge too, by the way, so the

498
00:23:29,119 --> 00:23:30,800
Speaker 3: state is going to make its money off of that.

499
00:23:30,960 --> 00:23:33,600
Speaker 2: We have to talk about Caitlin Clark. She's joining the NBA.

500
00:23:34,280 --> 00:23:39,640
Speaker 2: NBC's NBA coverage. She's going to be a special contributor.

501
00:23:40,200 --> 00:23:43,680
Speaker 2: So she makes her debut on February first. It's a

502
00:23:43,840 --> 00:23:46,959
Speaker 2: Nicks and Lakers game. It's at Madison Square Garden, and

503
00:23:47,000 --> 00:23:49,240
Speaker 2: this is all part of Sunday Night Basketball.

504
00:23:49,520 --> 00:23:51,400
Speaker 3: She's got to find something to do. Poor girl needs

505
00:23:51,400 --> 00:23:55,240
Speaker 3: a job because the NBA, the WNBA and their players

506
00:23:55,320 --> 00:23:58,560
Speaker 3: union are at odds. Look, there is not going to

507
00:23:58,600 --> 00:24:02,400
Speaker 3: be a full w NBA season this year. There's no way.

508
00:24:02,760 --> 00:24:06,400
Speaker 3: They are so far apart in their collective bargaining agreement negotiations.

509
00:24:06,680 --> 00:24:09,080
Speaker 3: At the very least, they'll be a reduced season for

510
00:24:09,119 --> 00:24:12,719
Speaker 3: the WNBA this year. Caiton Clark, she was injured, so

511
00:24:12,760 --> 00:24:14,879
Speaker 3: she wasn't playing most of the last year. She's just

512
00:24:14,960 --> 00:24:16,800
Speaker 3: kind of been sitting on her butt for a long time.

513
00:24:17,640 --> 00:24:19,200
Speaker 3: Good for her getting out there and getting the job

514
00:24:19,200 --> 00:24:21,680
Speaker 3: with NBC Sports in their NBA coverage.

515
00:24:21,680 --> 00:24:22,200
Speaker 4: Fascinating.

516
00:24:22,200 --> 00:24:27,439
Speaker 3: It's the first time NBC's NBA coverage has ever had

517
00:24:27,840 --> 00:24:30,600
Speaker 3: a WNBA player as one of their analysts.

518
00:24:30,680 --> 00:24:33,600
Speaker 2: So she's doing that on February first, and then she'll

519
00:24:33,600 --> 00:24:36,760
Speaker 2: make an additional appearance on March twenty ninth, that is

520
00:24:36,800 --> 00:24:40,080
Speaker 2: a Thunder versus Knicks game, and that's taking place in

521
00:24:40,160 --> 00:24:45,320
Speaker 2: Oklahoma City. Of course, Kaitlyn Clark entering her third season

522
00:24:45,720 --> 00:24:49,919
Speaker 2: with the Indiana Fever. But how about that tweet the

523
00:24:50,000 --> 00:24:52,680
Speaker 2: other day. Yes, that's kind of interesting what happened there.

524
00:24:52,920 --> 00:24:55,960
Speaker 3: So, you know, just because Kaitlyn Clark hasn't been playing

525
00:24:55,960 --> 00:24:58,040
Speaker 3: a lot in the last year doesn't mean that there's

526
00:24:58,040 --> 00:25:00,440
Speaker 3: still not a lot of controversy around her on so media.

527
00:25:00,520 --> 00:25:04,960
Speaker 3: So NBC Sports has, you know, obviously social media accounts,

528
00:25:05,040 --> 00:25:07,439
Speaker 3: and they created a post and put it on Twitter

529
00:25:07,440 --> 00:25:10,080
Speaker 3: and Instagram, and it basically was promoting the fact that

530
00:25:10,080 --> 00:25:12,360
Speaker 3: they've come to this agreement with Kaitlyn Clark for her

531
00:25:12,400 --> 00:25:17,880
Speaker 3: to be an NBA analyst during NBC's NBA coverage. The

532
00:25:18,040 --> 00:25:22,520
Speaker 3: comments on that social media post just delved into all

533
00:25:22,600 --> 00:25:25,760
Speaker 3: of the nastiness and infighting that has surrounded Kaitlin Clark

534
00:25:25,760 --> 00:25:27,960
Speaker 3: since she came into the league. So the NBC Sports

535
00:25:28,000 --> 00:25:29,399
Speaker 3: ended up deleting that social media.

536
00:25:29,640 --> 00:25:31,040
Speaker 1: They became delete tweet guys.

537
00:25:31,040 --> 00:25:34,880
Speaker 3: They became delete tweet and delete Instagram guy, just because

538
00:25:35,440 --> 00:25:38,040
Speaker 3: I don't know why that the comments.

539
00:25:37,680 --> 00:25:38,440
Speaker 4: Got out of control.

540
00:25:38,520 --> 00:25:41,560
Speaker 3: There was a lot of meanness and nastiness and viciousness

541
00:25:41,600 --> 00:25:43,639
Speaker 3: going on, and I guess NBC just figured, you know what,

542
00:25:43,720 --> 00:25:44,040
Speaker 3: forget it.

543
00:25:44,119 --> 00:25:46,960
Speaker 4: Let's just delete this tweet entirely, which, of course, whenever

544
00:25:47,000 --> 00:25:49,359
Speaker 4: you do that stirs up a whole new.

545
00:25:49,320 --> 00:25:52,480
Speaker 3: Round of controversy and people, you know, pearl clutching over

546
00:25:52,520 --> 00:25:56,360
Speaker 3: the concept of NBC Sports deleting a tweet about Kaitlin Clark, and.

547
00:25:56,320 --> 00:26:00,320
Speaker 2: We turn our attention from basketball to skiing. There's some

548
00:26:00,359 --> 00:26:01,280
Speaker 2: news this morning.

549
00:26:01,600 --> 00:26:03,280
Speaker 4: Yeah, this is breaking news.

550
00:26:03,359 --> 00:26:06,640
Speaker 3: Yeah. Lindsay Vaughn, who is an American skier and one

551
00:26:06,640 --> 00:26:10,480
Speaker 3: of the great female skiers in our country's history, was

552
00:26:11,400 --> 00:26:16,320
Speaker 3: skiing downhill in Europe. It was the World Championships, the

553
00:26:16,320 --> 00:26:19,640
Speaker 3: World Cup downhill race, and she had a horrific accident,

554
00:26:19,720 --> 00:26:23,879
Speaker 3: had to be airlifted away from the scene. And this

555
00:26:24,040 --> 00:26:27,240
Speaker 3: actually she was planning on skiing in the twenty twenty

556
00:26:27,240 --> 00:26:29,240
Speaker 3: six Olympics, coming up here in just a few weeks,

557
00:26:29,440 --> 00:26:31,639
Speaker 3: but she has not since qualified. She was using this

558
00:26:31,720 --> 00:26:34,919
Speaker 3: World Cup downhill race to try and qualify for the

559
00:26:34,960 --> 00:26:36,960
Speaker 3: Olympics in just a couple of weeks. So I think

560
00:26:37,000 --> 00:26:40,399
Speaker 3: her ability to ski at the Olympics is now in question.

561
00:26:40,640 --> 00:26:43,280
Speaker 2: Well, she was slated to compete in the women's downhill,

562
00:26:43,320 --> 00:26:47,040
Speaker 2: the Super g and also some team combined events, and

563
00:26:47,280 --> 00:26:52,600
Speaker 2: there were actually two two other competitors who were also

564
00:26:52,680 --> 00:26:55,160
Speaker 2: injured on the same course. They said that the course

565
00:26:55,280 --> 00:27:01,000
Speaker 2: was really difficult and Lindsay vonn apparently grabbed her left knee.

566
00:27:01,040 --> 00:27:03,320
Speaker 2: She grimaced in pain, and as you mentioned, she was

567
00:27:03,400 --> 00:27:06,040
Speaker 2: airlifted to the hospital for evaluation.

568
00:27:06,320 --> 00:27:10,720
Speaker 3: Yeah, this isn't the first skiing accident and injury she's had.

569
00:27:10,800 --> 00:27:13,800
Speaker 3: She's had several nasty ones over her career, and in fact,

570
00:27:13,880 --> 00:27:16,200
Speaker 3: I remember seeing some photographs that she posted on social

571
00:27:16,200 --> 00:27:18,760
Speaker 3: media after the last one, which was probably she's seven

572
00:27:18,840 --> 00:27:21,320
Speaker 3: or eight years ago now, and showing the scar on

573
00:27:21,359 --> 00:27:23,800
Speaker 3: her leg over her knee. She's the scar had to

574
00:27:23,800 --> 00:27:26,439
Speaker 3: be like a foot and a half long and just

575
00:27:26,560 --> 00:27:31,240
Speaker 3: gnarly and nasty. So unfortunately suffering another pretty serious injury.

576
00:27:31,240 --> 00:27:33,159
Speaker 3: It looks like here for Lindsay Vaughn. But beyond this,

577
00:27:33,480 --> 00:27:37,040
Speaker 3: she's just a badass. Her first Olympics she was seventeen

578
00:27:37,119 --> 00:27:40,760
Speaker 3: years old in the two thousand and two Winter Olympics

579
00:27:40,760 --> 00:27:41,720
Speaker 3: in Salt Lake City.

580
00:27:41,800 --> 00:27:44,320
Speaker 1: Wow, that's been doing this for a long that's how long.

581
00:27:44,200 --> 00:27:44,879
Speaker 4: She's been doing this.

582
00:27:44,960 --> 00:27:47,359
Speaker 3: She won a gold medal in twenty ten in Vancouver

583
00:27:47,520 --> 00:27:52,240
Speaker 3: and certainly has been the face of women's skiing for

584
00:27:52,280 --> 00:27:55,400
Speaker 3: the United States for a long time. Also, interestingly enough,

585
00:27:55,680 --> 00:27:58,000
Speaker 3: one of Tiger woods ex girlfriends.

586
00:27:58,160 --> 00:28:00,000
Speaker 4: Although Tiger Woods has had a lot.

587
00:27:59,880 --> 00:28:02,840
Speaker 3: Of ex girlfriends, so if you're female in this country,

588
00:28:02,920 --> 00:28:05,160
Speaker 3: there's probably like a ten percent chance that you dated

589
00:28:05,200 --> 00:28:06,280
Speaker 3: chic relationships.

590
00:28:06,920 --> 00:28:08,080
Speaker 4: She fell into that ten percent.

591
00:28:08,240 --> 00:28:10,639
Speaker 1: She kept the competitive spirit for a long time.

592
00:28:11,320 --> 00:28:14,679
Speaker 2: It's interesting to note how you managed to maintain that

593
00:28:14,800 --> 00:28:17,000
Speaker 2: after such a long career.

594
00:28:17,119 --> 00:28:19,800
Speaker 3: She's forty one, right, and she's still a top athlete

595
00:28:19,800 --> 00:28:21,359
Speaker 3: and try to compete. I mean, she's been on the

596
00:28:21,359 --> 00:28:24,160
Speaker 3: cover of Sports Illustrated. She's been one of our top

597
00:28:24,480 --> 00:28:25,879
Speaker 3: female skiers in this country.

598
00:28:25,960 --> 00:28:26,880
Speaker 4: For a long long time.

599
00:28:26,920 --> 00:28:29,240
Speaker 3: Now she's going all the way back to two thousand

600
00:28:29,280 --> 00:28:32,080
Speaker 3: and two. So hopefully the injuries aren't as serious as

601
00:28:32,240 --> 00:28:34,320
Speaker 3: as what they kind of looked like in some of

602
00:28:34,359 --> 00:28:36,920
Speaker 3: the images that we've seen so far. But Lindsay Vaughan

603
00:28:37,680 --> 00:28:40,680
Speaker 3: nasty accident this morning and had to be airlifted off

604
00:28:40,680 --> 00:28:41,000
Speaker 3: the hill.

605
00:28:41,200 --> 00:28:46,640
Speaker 2: Well. In more skiing news, we've got Nick Gober, freestyle

606
00:28:46,680 --> 00:28:50,360
Speaker 2: skiing standout from Lawrenceburg, Indiana. He's going to be competing

607
00:28:50,360 --> 00:28:53,880
Speaker 2: in his fourth consecutive Winter Olympics. He became the first

608
00:28:54,000 --> 00:28:57,320
Speaker 2: US skier to meddle in four different Winter Olympics.

609
00:28:57,320 --> 00:28:59,719
Speaker 3: Does it seemed like this year's Winter Olympics are kind

610
00:28:59,720 --> 00:29:03,160
Speaker 3: of sneak it up on everybody? Yeah, I totally forgot

611
00:29:03,200 --> 00:29:05,800
Speaker 3: that they were that they were having and I'm an

612
00:29:05,840 --> 00:29:06,480
Speaker 3: Olympic guy.

613
00:29:06,720 --> 00:29:09,920
Speaker 1: What does that say? Are the Olympics kind of falling

614
00:29:09,920 --> 00:29:10,480
Speaker 1: out of favor?

615
00:29:10,720 --> 00:29:12,360
Speaker 4: No? I think there's just a lot going on in

616
00:29:12,360 --> 00:29:13,200
Speaker 4: the world right now.

617
00:29:13,320 --> 00:29:17,720
Speaker 3: You know, we you know, bombed Uran, we capture the

618
00:29:17,760 --> 00:29:21,920
Speaker 3: e Venezuelan president. There's situations going when Donald Trump's president,

619
00:29:22,120 --> 00:29:25,440
Speaker 3: it's really protest, it's really just fraud. It's with Donald

620
00:29:25,480 --> 00:29:28,960
Speaker 3: Trump's president it's difficult for anything else to break into

621
00:29:29,000 --> 00:29:29,760
Speaker 3: the news cycle.

622
00:29:30,320 --> 00:29:32,320
Speaker 1: It's a lot. It's rapid fire news.

623
00:29:32,440 --> 00:29:34,760
Speaker 3: It is day, and that's by designed by Donald Trump.

624
00:29:34,840 --> 00:29:36,920
Speaker 3: So I think that's probably why the Olympics kind of

625
00:29:36,960 --> 00:29:39,040
Speaker 3: snuck up on me this year. And that's despite the

626
00:29:39,080 --> 00:29:42,360
Speaker 3: fact that I'm a huge Olympics guy. Summer Olympics, Winter Olympics.

627
00:29:42,400 --> 00:29:44,960
Speaker 3: Whenever they're on, I'm locked in for two weeks and

628
00:29:45,920 --> 00:29:47,720
Speaker 3: consuming as much of it as I possibly can.

629
00:29:48,120 --> 00:29:50,360
Speaker 1: You're listening to ninety three WYBC.

630
00:29:58,400 --> 00:30:00,600
Speaker 2: Have you ever talked your way past six security and

631
00:30:00,680 --> 00:30:02,000
Speaker 2: gotten into someplace that.

632
00:30:01,920 --> 00:30:04,000
Speaker 1: You really weren't supposed to meet.

633
00:30:05,280 --> 00:30:08,400
Speaker 4: You are the queen of doing this.

634
00:30:08,520 --> 00:30:11,720
Speaker 3: You are the queen and going up to whoever is

635
00:30:11,840 --> 00:30:14,760
Speaker 3: watching the door or guarding the gate and being able

636
00:30:14,800 --> 00:30:16,120
Speaker 3: to talk your way right through it.

637
00:30:16,280 --> 00:30:18,240
Speaker 1: I just smile nicely. Right.

638
00:30:18,440 --> 00:30:21,400
Speaker 3: It's more than that, It like this is a known

639
00:30:21,680 --> 00:30:24,360
Speaker 3: trait for you, and you've been doing this since the

640
00:30:24,400 --> 00:30:26,920
Speaker 3: thirty years plus years that I've known you, that you

641
00:30:27,000 --> 00:30:31,480
Speaker 3: have this uncanny ability to just put off this air

642
00:30:31,560 --> 00:30:34,000
Speaker 3: of presence like, oh I belong here, Well, of course

643
00:30:34,040 --> 00:30:34,800
Speaker 3: I belong here.

644
00:30:35,160 --> 00:30:36,160
Speaker 4: I'm just gonna go walk.

645
00:30:36,520 --> 00:30:39,200
Speaker 3: I'm just gonna go walk right past this security guard,

646
00:30:39,520 --> 00:30:41,560
Speaker 3: right past this person that's supposed to keep the riff

647
00:30:41,640 --> 00:30:44,360
Speaker 3: raff out like us, and all of a sudden, you've

648
00:30:44,400 --> 00:30:45,720
Speaker 3: got this incredible access.

649
00:30:45,840 --> 00:30:49,400
Speaker 2: Yeah, but it wasn't. The intent is never nefarious. It's

650
00:30:49,560 --> 00:30:51,600
Speaker 2: just to get a little closer to the action. What

651
00:30:51,680 --> 00:30:55,080
Speaker 2: we're not at seat, we're talking, we're talking concerts.

652
00:30:55,120 --> 00:30:56,640
Speaker 4: We're not doing it to commit a felony.

653
00:30:56,920 --> 00:30:59,200
Speaker 1: Football games, right, Yeah, a little bit of different.

654
00:30:59,520 --> 00:31:01,479
Speaker 3: We went to a Major League baseball game and it

655
00:31:01,520 --> 00:31:04,240
Speaker 3: was early in the game and you just walked right

656
00:31:04,280 --> 00:31:07,520
Speaker 3: past that usher that was guarding the lower box seats

657
00:31:07,520 --> 00:31:09,920
Speaker 3: and we sat in like the second row right behind

658
00:31:09,920 --> 00:31:11,760
Speaker 3: the dugout for the rest of the whole game.

659
00:31:11,880 --> 00:31:15,000
Speaker 2: Yeah, and nobody said anything. So clearly the ticket holders

660
00:31:15,000 --> 00:31:17,680
Speaker 2: weren't showing up. I was just trying to fill the seats.

661
00:31:17,800 --> 00:31:20,040
Speaker 3: I was being a you were doaking a public service,

662
00:31:20,080 --> 00:31:21,040
Speaker 3: that's what you were doing.

663
00:31:21,040 --> 00:31:22,160
Speaker 1: It's being a good fan.

664
00:31:22,640 --> 00:31:23,600
Speaker 4: No, But there's others.

665
00:31:23,600 --> 00:31:24,680
Speaker 1: It worked out for us.

666
00:31:24,600 --> 00:31:27,520
Speaker 3: There's but I mean, there are a laundry list of

667
00:31:27,520 --> 00:31:30,240
Speaker 3: examples of this. The very first Indy five hundred that

668
00:31:30,280 --> 00:31:34,120
Speaker 3: we ever went to, all of a sudden race race

669
00:31:34,240 --> 00:31:37,200
Speaker 3: day you and I end up in the pits somehow

670
00:31:37,240 --> 00:31:38,920
Speaker 3: we have no access there.

671
00:31:38,960 --> 00:31:40,520
Speaker 4: We didn't know anything about the Indy five.

672
00:31:40,840 --> 00:31:44,440
Speaker 2: We met somebody the night before who had access that's similar.

673
00:31:44,720 --> 00:31:47,640
Speaker 1: So we struck up a conversation and he was just.

674
00:31:47,600 --> 00:31:49,560
Speaker 4: Being friendly sharing his access, right.

675
00:31:49,600 --> 00:31:51,840
Speaker 2: He was like, hey, let's get you in the pit

676
00:31:52,000 --> 00:31:54,520
Speaker 2: so you can really have some fun on your first

677
00:31:54,520 --> 00:31:55,800
Speaker 2: Indy five hundred experience.

678
00:31:55,840 --> 00:31:57,200
Speaker 4: And then he found out you were married.

679
00:31:57,600 --> 00:32:02,920
Speaker 3: He's like, oh, sh man, this stings. Well, I already

680
00:32:02,920 --> 00:32:04,920
Speaker 3: gave her the access. I guess I'm hooked up to

681
00:32:04,960 --> 00:32:06,320
Speaker 3: it now, even though she's taken.

682
00:32:06,680 --> 00:32:10,840
Speaker 2: So this guy, he was allegedly posing as an FBI agent,

683
00:32:11,000 --> 00:32:15,160
Speaker 2: and this in an attempt to free Luigi man Gione

684
00:32:15,160 --> 00:32:19,400
Speaker 2: from Brooklyn's Metropolitan Detention Center in New York. See. None

685
00:32:19,400 --> 00:32:23,400
Speaker 2: of the things that I did again, nothing nefarious. I

686
00:32:23,440 --> 00:32:26,560
Speaker 2: wasn't trying to break someone out of jail, no, of course, not.

687
00:32:26,800 --> 00:32:28,000
Speaker 4: No, it was all you know.

688
00:32:28,280 --> 00:32:32,000
Speaker 3: I wouldn't even say it's necessarily immoral, certainly not illegal.

689
00:32:32,120 --> 00:32:33,960
Speaker 2: This guy, he told the jail staff that he had

690
00:32:34,000 --> 00:32:38,040
Speaker 2: paperwork signed by a judge authorizing the release. However, he

691
00:32:39,280 --> 00:32:42,840
Speaker 2: failed to show the proper credentials. And instead just showed

692
00:32:42,880 --> 00:32:47,360
Speaker 2: his Minnesota driver's license. He threw the documents at officers

693
00:32:47,640 --> 00:32:49,760
Speaker 2: he claimed to be carrying weapons. At the end of

694
00:32:49,800 --> 00:32:54,640
Speaker 2: the day, what officers found was a barbecue fork in

695
00:32:54,720 --> 00:32:57,640
Speaker 2: a circular steel blade which kind of looked like a

696
00:32:57,640 --> 00:32:58,600
Speaker 2: pizza cutter.

697
00:32:58,960 --> 00:33:01,560
Speaker 3: You mean, like a jail house knife to be able

698
00:33:01,600 --> 00:33:04,160
Speaker 3: to saw the bars off and get it and you know,

699
00:33:04,320 --> 00:33:05,240
Speaker 3: escape from prison.

700
00:33:05,920 --> 00:33:08,760
Speaker 2: No joking matter for this guy, because now he's being

701
00:33:08,880 --> 00:33:13,640
Speaker 2: charged with impersonating a federal agent, which is a felony offense.

702
00:33:14,000 --> 00:33:17,160
Speaker 3: This whole this is the most absurd story I've seen

703
00:33:17,160 --> 00:33:20,040
Speaker 3: in a long time. It feels like some rejected script

704
00:33:20,080 --> 00:33:24,200
Speaker 3: from a low budget crime drama. A Minnesota man allegedly

705
00:33:24,520 --> 00:33:27,040
Speaker 3: walking into a New York federal jail with nothing but

706
00:33:27,200 --> 00:33:32,120
Speaker 3: a driver's license and a boatload of confidence. Of course

707
00:33:32,160 --> 00:33:33,880
Speaker 3: I belong here, Yeah, no, I mean I'm here to

708
00:33:33,920 --> 00:33:37,200
Speaker 3: get Luigi Mangioni, just one of the most famous alleged

709
00:33:37,280 --> 00:33:38,680
Speaker 3: murderers of the modern time.

710
00:33:38,800 --> 00:33:39,840
Speaker 4: I'm just here to pick him up.

711
00:33:39,880 --> 00:33:42,239
Speaker 2: Nothing to see here, Okay, Now, there's no indication that

712
00:33:42,240 --> 00:33:45,240
Speaker 2: Mangioni was even involved in this, Like he didn't even

713
00:33:45,360 --> 00:33:49,120
Speaker 2: know the guy, just some rando coming in to break

714
00:33:49,200 --> 00:33:50,040
Speaker 2: him out of jail.

715
00:33:50,200 --> 00:33:54,880
Speaker 3: This guy walks into a federal prison, which are essentially fortresses,

716
00:33:55,160 --> 00:33:57,040
Speaker 3: like he was picking up his door dash order.

717
00:33:57,120 --> 00:34:01,120
Speaker 2: Now keep in mind it didn't result in any jail disruptions.

718
00:34:01,280 --> 00:34:04,520
Speaker 2: He didn't get anywhere close enough. There was no release

719
00:34:04,560 --> 00:34:08,200
Speaker 2: of any inmates. Luigi Mangione still a waiting trial in

720
00:34:08,320 --> 00:34:12,000
Speaker 2: state and federal court for that twenty four fatal shooting

721
00:34:12,080 --> 00:34:14,640
Speaker 2: of the United Healthcare CEO Brian Thomas.

722
00:34:14,760 --> 00:34:15,680
Speaker 1: This Thompson.

723
00:34:16,480 --> 00:34:19,000
Speaker 2: He didn't plead guilty to any of the charges. By

724
00:34:19,040 --> 00:34:20,480
Speaker 2: the way, this story is Luiji Mangi.

725
00:34:20,719 --> 00:34:22,200
Speaker 4: The story is from NBC News.

726
00:34:22,600 --> 00:34:25,600
Speaker 3: The guy didn't even bother to like mock up a

727
00:34:25,640 --> 00:34:30,320
Speaker 3: fake FBI badge. He literally flashed his Minnesota driver's license

728
00:34:30,520 --> 00:34:32,640
Speaker 3: and expected officers to be like, oh, yeah, that looks

729
00:34:32,680 --> 00:34:34,879
Speaker 3: like FBI credentials right this.

730
00:34:34,920 --> 00:34:37,640
Speaker 2: Way, sir, Right, let me show you right in No,

731
00:34:37,840 --> 00:34:39,840
Speaker 2: don't do that. That's not going to work. And in fact,

732
00:34:40,120 --> 00:34:41,520
Speaker 2: just like that guy, it's going to get you in

733
00:34:41,560 --> 00:34:45,040
Speaker 2: a whole lot of trouble. There's supposed to be a

734
00:34:45,239 --> 00:34:50,279
Speaker 2: huge storm on the East coast again. Yeah again, they're

735
00:34:50,320 --> 00:34:53,960
Speaker 2: calling it a bomb cyclone. It's gonna hit a lot

736
00:34:53,960 --> 00:34:57,640
Speaker 2: of New England, but also Florida, North Carolina, Virginia, the

737
00:34:57,680 --> 00:35:00,759
Speaker 2: Mid Atlantic and parts of Carland as well.

738
00:35:01,000 --> 00:35:04,400
Speaker 3: Yeah, with DC, we've been really fortunate here in Central Indiana,

739
00:35:04,440 --> 00:35:05,920
Speaker 3: and I know we had you know, nine inches of

740
00:35:05,920 --> 00:35:10,520
Speaker 3: snow or so, you know, last weekend. But the communities

741
00:35:10,520 --> 00:35:12,799
Speaker 3: that are farther south from US, lots of stories coming

742
00:35:12,840 --> 00:35:16,880
Speaker 3: out of Memphis and Nashville and Knoxville and North Carolina

743
00:35:16,920 --> 00:35:19,799
Speaker 3: and South Carolina where they had all that ice. And

744
00:35:19,840 --> 00:35:22,120
Speaker 3: what the ice does is obviously it makes it difficult

745
00:35:22,160 --> 00:35:25,920
Speaker 3: to drive, but it clings to those power lines and

746
00:35:25,960 --> 00:35:28,480
Speaker 3: tree branches and they collapse under their own weight. So

747
00:35:28,600 --> 00:35:30,399
Speaker 3: there's been a lot of reporting that's come out people

748
00:35:30,480 --> 00:35:32,480
Speaker 3: in the Nashville and the other parts of Tennessee and

749
00:35:32,520 --> 00:35:35,560
Speaker 3: the Carolinas that have been without power for days and

750
00:35:35,640 --> 00:35:39,120
Speaker 3: days now, and now they're going to get another nasty

751
00:35:39,160 --> 00:35:40,920
Speaker 3: winter storm on top of that this weekend.

752
00:35:41,080 --> 00:35:43,640
Speaker 2: So there's parts of the country they can expect gale

753
00:35:43,719 --> 00:35:48,040
Speaker 2: to near hurricane force winds along the coast. And keep

754
00:35:48,080 --> 00:35:51,959
Speaker 2: in mind they also have tides, high tides that they're

755
00:35:52,000 --> 00:35:54,719
Speaker 2: going to have to deal with. So if you're expecting

756
00:35:55,080 --> 00:35:58,960
Speaker 2: to travel in that direction. I would maybe think about

757
00:35:59,040 --> 00:36:02,400
Speaker 2: redirecting because there's gonna be some airports that will be

758
00:36:02,400 --> 00:36:02,839
Speaker 2: shut down.

759
00:36:02,920 --> 00:36:05,239
Speaker 3: Yeah, tons of airports were shut down last weekend. That's

760
00:36:05,239 --> 00:36:06,920
Speaker 3: going to be the case again. Can you imagine, if

761
00:36:07,200 --> 00:36:08,719
Speaker 3: you know, Because there are some people that have been

762
00:36:08,719 --> 00:36:10,839
Speaker 3: stranded this entire time. They haven't been able to get

763
00:36:10,840 --> 00:36:13,120
Speaker 3: a recurring flight. And just when you think, all right,

764
00:36:13,360 --> 00:36:15,520
Speaker 3: this week we're getting out of town this weekend, this

765
00:36:15,600 --> 00:36:18,480
Speaker 3: is gonna be it. And now another bomb cyclone coming

766
00:36:18,560 --> 00:36:21,160
Speaker 3: and it's going to be a disaster and awful. Fortunately

767
00:36:21,200 --> 00:36:23,439
Speaker 3: we are not expected to see any of that here

768
00:36:23,480 --> 00:36:24,600
Speaker 3: in Central Indiana.

769
00:36:24,680 --> 00:36:29,080
Speaker 2: So you've got Milania Trump's documentary being released today in theaters.

770
00:36:29,120 --> 00:36:31,640
Speaker 2: They had the big red carpet event last night, and

771
00:36:31,760 --> 00:36:35,960
Speaker 2: I came across this article the best first Ladies in

772
00:36:36,080 --> 00:36:40,879
Speaker 2: movie and television history. Now you've got Nancy Reagan, who

773
00:36:41,000 --> 00:36:45,520
Speaker 2: was an actual actress before Ronald Reagan went into office,

774
00:36:45,840 --> 00:36:51,080
Speaker 2: and you've got this documentary from Milania Trump. As far

775
00:36:51,120 --> 00:36:52,959
Speaker 2: as I can tell, those are the only two first

776
00:36:53,040 --> 00:36:55,160
Speaker 2: ladies who have ever been in a movie.

777
00:36:55,239 --> 00:36:59,239
Speaker 3: Real first ladies, oh, that have actually been in a

778
00:36:59,280 --> 00:37:00,240
Speaker 3: feature film.

779
00:37:00,600 --> 00:37:02,759
Speaker 4: I just playing themselves.

780
00:37:02,280 --> 00:37:05,759
Speaker 2: Playing themselves okay, but you have this list here of

781
00:37:06,480 --> 00:37:11,920
Speaker 2: first ladies played by actresses. They say Edie Falco played

782
00:37:11,960 --> 00:37:15,840
Speaker 2: Hillary Clinton in the Impeachment American Crime Story.

783
00:37:16,000 --> 00:37:17,480
Speaker 4: How was that? Did you enjoy that movie?

784
00:37:17,520 --> 00:37:18,279
Speaker 1: I did not see that.

785
00:37:18,360 --> 00:37:18,560
Speaker 4: Yeah.

786
00:37:18,640 --> 00:37:22,600
Speaker 2: Either, You've got somebody who played Michelle Obama in Southside

787
00:37:22,719 --> 00:37:23,200
Speaker 2: with You.

788
00:37:23,520 --> 00:37:24,200
Speaker 1: I see that.

789
00:37:24,239 --> 00:37:25,799
Speaker 4: How about that one? Yeah? I miss that one.

790
00:37:25,960 --> 00:37:29,720
Speaker 2: Lor Lenny as Abigail Adams in the John Adams movie.

791
00:37:30,000 --> 00:37:31,000
Speaker 1: That one I actually saw.

792
00:37:31,120 --> 00:37:33,640
Speaker 3: The only one out of this entire list that I

793
00:37:33,680 --> 00:37:37,440
Speaker 3: saw was that movie W that came out about George W.

794
00:37:37,520 --> 00:37:40,799
Speaker 3: Bush and Elizabeth Banks played Laura Bush in that one.

795
00:37:40,800 --> 00:37:43,239
Speaker 4: But I have this entire list. That's the only about.

796
00:37:43,360 --> 00:37:46,000
Speaker 1: Sally Field is marytel Lincoln in Lincoln.

797
00:37:46,040 --> 00:37:46,839
Speaker 4: I didn't see that movie.

798
00:37:47,000 --> 00:37:50,480
Speaker 1: You didn't see that, by the way, this list it

799
00:37:50,560 --> 00:37:53,000
Speaker 1: came from aa RP dot org.

800
00:37:53,400 --> 00:37:53,760
Speaker 4: Ouch.

801
00:37:54,239 --> 00:37:56,480
Speaker 3: Well, congratulations on your subscription to AARP.

802
00:37:56,640 --> 00:37:58,879
Speaker 4: I'm glad that that's working out and paying dimidends for you.

803
00:37:59,080 --> 00:38:00,319
Speaker 4: Fed into my e mail.

804
00:38:00,480 --> 00:38:03,480
Speaker 1: Thanks. It is ninety three WYBC