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Speaker 1: Senapore in Indianapolis was intense and Republican argued that the

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Speaker 1: state must protect its laws and prioritize who's your safety.

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Speaker 1: So there was the bill, Senate Bill seventy six, and

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Speaker 1: it is the tough immigration Immigration Enforcement Bill, and with

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Speaker 1: a vote of thirty seven to eleven, it is now

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Speaker 1: on its way to Governor Mike Brawn to sign.

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Speaker 2: And yeah, the bill.

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Speaker 1: Gives Indiana the tools that it needs to back up

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Speaker 1: federal border enforcement. You've got, We're not going to win

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Speaker 1: this alone, right, The federal government needs the state's cooperation,

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Speaker 1: and now in Indiana looks like they're going to have it.

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Speaker 3: Yeah, well, we certainly know what happens when the states

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Speaker 3: don't cooperate with the federal government when it comes to immigration,

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Speaker 3: and we get situations like we had in Minneapolis or

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Speaker 3: so ago and leads to serious problems out there. And look,

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Speaker 3: we give Mike Brown a hard time, we give those

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Speaker 3: lawmakers a hard time here in Indiana, and deservedly so.

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Speaker 4: But this is a big win for them.

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Speaker 3: And what I love about this too is that there's

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Speaker 3: a mechanism for enforcement because a lot of times that

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Speaker 3: we see things where.

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Speaker 4: The pass the bill, you're going to do this or

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Speaker 4: else and or else.

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Speaker 3: Right, Well, the other the people that don't want to

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Speaker 3: follow the law go okay, fine, what are you going to.

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Speaker 4: Do about it? Come on, make me I dare you?

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Speaker 3: And so Todd Rakeda also came out and said that

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Speaker 3: they could the Attorney General's office could sue local governments, hospitals, schools,

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Speaker 3: and colleges that attempt to restrict immigration immigration enforcement under

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Speaker 3: this bill that just passed. So there is not only

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Speaker 3: the bill and the law associated with it, but then

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Speaker 3: there's this enforcement mechanism behind it that actually gives that

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Speaker 3: bill some teeth to it. And that is what I

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Speaker 3: really love about this bill more than anything.

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Speaker 1: Yeah, it's called the Fairness Act, and it's been in

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Speaker 1: the works for more than a year.

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Speaker 2: They've been working on this for a long time.

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Speaker 3: Well, I mean they've been trying to pass a lot

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Speaker 3: of immigration You remember, during the twenty twenty five legislative

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Speaker 3: session at the State House, Liz Brown held up an

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Speaker 3: immigration bill that was supported by Attorney General Todd Rokita

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Speaker 3: and a lot of other Republicans, and the bill ended

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Speaker 3: up dying because she was the head of that committee

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Speaker 3: and wouldn't bring it to a committee vote, so it

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Speaker 3: didn't go anywhere. So, Yeah, there's been a lot of

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Speaker 3: things as it relates to immigration in the state House

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Speaker 3: over the last couple of years, and we finally got

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Speaker 3: one across the finish line here, and this looks like

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Speaker 3: it's a pretty darn good one.

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Speaker 1: So you've got some people that are saying that this

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Speaker 1: is overreach and not leadership, and that it undermines the

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Speaker 1: trust in schools and colleges and hospitals.

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Speaker 3: Yeah, those are the people that don't believe in borders,

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Speaker 3: that believe borders are a social construct and that anybody

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Speaker 3: can go anywhere, and that Joe Biden allowing tens of

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Speaker 3: millions of illegals into this country was not only just fine,

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Speaker 3: but absolutely good news.

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Speaker 4: Yeah.

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Speaker 3: I look Indiana, and the polls are clear, The voting

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Speaker 3: track record is clear. The people of Indiana want border enforcement,

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Speaker 3: they want immigration enforcement, and most importantly, they want all

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Speaker 3: existing illegals out.

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Speaker 1: Speaking of enforcement, they're really cracking down in Carmel.

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Speaker 2: This over parking.

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Speaker 1: Different kind of enforcement, totally different kind of enforcement. I

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Speaker 1: guess you could say that this is good for small

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Speaker 1: businesses and keeps everybody in line. The city of Karmel

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Speaker 1: planning to boost parking enforcement in downtown and other busy areas.

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Speaker 1: This because business owners and residents and visitors have complained

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Speaker 1: about the parking situation, and now they're going to do

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Speaker 1: something about it.

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Speaker 3: Now, Casey, Yeah, if I were a cynical person.

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Speaker 4: Which you are, which I am, But if I were.

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Speaker 3: A really really cynical person, a really really cynical person might.

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Speaker 4: Say, hmm, wasn't the mayor of Karmel one of.

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Speaker 3: The most vocal opponents of the property tax bill that

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Speaker 3: was just pushed and talked about how you know, it

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Speaker 3: would be doom and gloom and we're going to have

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Speaker 3: to lay off firefighters and policemen and chaos in the streets.

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Speaker 1: Wait a minute, are you going to tell me that

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Speaker 1: they're adding officers.

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Speaker 3: They are adding officers, it is, yeah, No, they've already

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Speaker 3: made they've in fact, they've added an officer, and we'll

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Speaker 3: be adding more officers to enforce this. So, you know,

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Speaker 3: whenever I see city officials that complain about their funding

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Speaker 3: and talk about the doom and gloom if certain taxes

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Speaker 3: are given back to the citizens and then all of

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Speaker 3: a sudden, magically they start enforcing other things. Which cost

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Speaker 3: money and raise revenue for the city of which which

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Speaker 3: one is it. You know, there may be a serious

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Speaker 3: parking problem, and there may be small businesses that have

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Speaker 3: complained about it. And I'm sure that those two things

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Speaker 3: that I just mentioned are just just a coincidence in

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Speaker 3: this or I'm sure that there's no chance that Carmel

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Speaker 3: looking at that this is an opportunity to just put

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Speaker 3: a whole bunch of money in the city coffers.

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Speaker 1: Okay, well, they're also going to equip vehicles with new

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Speaker 1: technology to help spot and track violations more efficiently.

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Speaker 4: But here's the thing.

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Speaker 1: People in Carmel who have their property taxes, they know

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Speaker 1: it's going to be a pretty penny. They know they're

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Speaker 1: paying to live in that community. And some people who

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Speaker 1: live there choose that that's what they want.

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Speaker 2: They want to pay that price. They want more police

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Speaker 2: on their streets.

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Speaker 4: Yeah.

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Speaker 3: Look, we're free to go wherever you want to in

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Speaker 3: this country, and that's one of the wonderful things about this.

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Speaker 3: And yes, you know, if you go live in Carmel,

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Speaker 3: your cost of living is going to be dramatically higher,

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Speaker 3: not only just for housing, but for the taxes you

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Speaker 3: pay and for all the city services and those beautiful

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Speaker 3: art installations that they put in every roundabout in Carmel,

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Speaker 3: and city funded hotels and everything else that the City

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Speaker 3: of Karmel is spending their money on. When you live there,

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Speaker 3: you kind of knew that going into the deal.

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Speaker 2: You know that's where what you're going to pay for.

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Speaker 3: And now you know that, by the way, if you're

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Speaker 3: doing any illegal parking, you're gonna pay for that.

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Speaker 4: You're going to pay for that too.

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Speaker 1: Yeah a few times, yeah, maybe, both in New Yar

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Speaker 1: taxes and with the ticket.

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Speaker 3: And parking violations. But it's fascinating here because this article

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Speaker 3: goes into details. And they hired a full time you know,

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Speaker 3: parking enforcer for lack of a better term, and shockingly,

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Speaker 3: all of a sudden, parking violations went up fifty eight percent.

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Speaker 4: Well, well, when you hire.

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Speaker 3: Somebody somebody and that's Sir John Wepley to enforce parking regulations,

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Speaker 3: of course the parking finds are going to go up.

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Speaker 4: And they said, well, look that was so successful.

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Speaker 3: Let's hire a couple of more part time people to

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Speaker 3: do parking enforcement. And you know what, I'm going to

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Speaker 3: go out on a limb here and make a guess.

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Speaker 3: I guess that parking violations are going to even continue

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Speaker 3: to go up higher because they've got more people on

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Speaker 3: the streets.

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Speaker 1: Focusing on is the parking enforcement officer named Rita.

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Speaker 4: Lovely read a meter. Lovely read a meter, mate.

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Speaker 3: I love how you had to get a Beatles reference

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Speaker 3: in here, didn't She's curious?

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Speaker 2: Probably not so, you might recall in the State of

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Speaker 2: the Union.

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Speaker 1: Address that Donald try announced a new initiative. It is

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Speaker 1: called the rate Payer Protection Pledge.

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Speaker 5: Many Americans are also concerned that energy demand from AI

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Speaker 5: data centers could unfairly drive up their electric utility bills. Tonight,

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Speaker 5: I'm please to announce that I have negotiated the new

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Speaker 5: rate payer Protection Pledge.

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Speaker 4: You know what that is. We're telling the major tech.

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Speaker 5: Companies that they have the obligation to provide for their

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Speaker 5: own power needs.

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Speaker 4: They can build their own power.

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Speaker 5: Plants as part of their factory so that no one's

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Speaker 5: prices will go up, and in many cases, prices of

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Speaker 5: electricity will go down for the community, and very substantially down.

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Speaker 5: This is a unique strategy never used in this country before.

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Speaker 4: We have an old grid.

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Speaker 5: It could never handle the kind of numbers, the amount

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Speaker 5: of electricity that's needed. So I'm telling them they can

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Speaker 5: build their own plant. They're going to produce their own electricity.

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Speaker 5: It will ensure the company's ability to get electricity well

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Speaker 5: at the same time lowering price of electricity for you,

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Speaker 5: and could be very substantial for all of these cities

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Speaker 5: in towns. You're going to see some good things happen

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Speaker 5: over the next number of years.

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Speaker 2: Okay, so a couple of things.

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Speaker 1: Clearly, if these tech giants they're planning to benefit from

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Speaker 1: any sort of AI boom, yeah, they need to pay

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Speaker 1: for the power that they're using instead of passing it

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Speaker 1: on to everyday families who.

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Speaker 2: Are going to have to shoulder that cost if they don't.

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Speaker 1: However, did he say that he was He said they

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Speaker 1: have to build their own power plants, right.

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Speaker 4: He did. He used that word, those words exactly. I said,

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Speaker 4: the US.

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Speaker 2: Power grid is old.

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Speaker 1: Obviously those power plants have to connect into grids. Are

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Speaker 1: Does that mean we're going to be turning over the

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Speaker 1: power grid to tech bros.

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Speaker 4: Well, what I think Trump is said takes.

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Speaker 3: I think what Trump is saying there that if if

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Speaker 3: if you build an AI data center, bring your own

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Speaker 3: power b yop, bring your own power, So how are

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Speaker 3: they going to do that? Well, what we heard a

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Speaker 3: lot of about last year during the at the State House,

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Speaker 3: we heard a lot about small modular reactors, and those

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Speaker 3: are also very controversial. But I mean, you can build

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Speaker 3: a small power plant. You can put up wind generation

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Speaker 3: or solar. Now I don't know if wind and solar

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Speaker 3: are strong enough to power an entire data center. Probably not.

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Speaker 3: Those would be massive solar farms or massive wind farms

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Speaker 3: to do that. But what he's saying is, Hey, if

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Speaker 3: you're going to build a data center, you got to

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Speaker 3: figure out your power on your own. And this is

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Speaker 3: what I love about Donald Trump, because every other politician

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Speaker 3: would have seen this and they would have gone, well,

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Speaker 3: I'm either going to kick this cam down the road

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Speaker 3: and pretend that the problem doesn't exist, or I'm going

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Speaker 3: to look to pass some law that's going to cap

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Speaker 3: prices or force the power companies and the utility companies

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Speaker 3: to do something else. Donald Trump. Again, what I love

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Speaker 3: about Donald Trump. He takes a totally outside the box

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Speaker 3: approach because what he's done here is he's not involving Congress,

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Speaker 3: he's not talking about an executive order, not doing anything

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Speaker 3: other than getting all of these tech giants who are

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Speaker 3: building these data centers to the White House and to

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Speaker 3: an agreement with them that says, look, if you're gonna

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Speaker 3: build this, you got to bring your own power. We're

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Speaker 3: not gonna have to write a law. I'm not going

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Speaker 3: to do this by executive order. We're going to try

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Speaker 3: something that no other politician does.

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Speaker 4: We're going to try and come here.

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Speaker 3: Oh, I'm sure there's gonna be paperwork and a contract

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Speaker 3: or something signed associated with it. But again, it's just

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Speaker 3: I love Donald Trump and his approach to doing things

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Speaker 3: that haven't been done in the past to try and

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Speaker 3: solve a solution. Now, look, this idea might not work. Fine,

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Speaker 3: what we've been doing hasn't worked. Let's let Trump try

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Speaker 3: something different and see if that works. So I am

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Speaker 3: cautiously optimistic about this handshake agreement that Trump is doing

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Speaker 3: with these tech providers, and at the very least I

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Speaker 3: applaud Trump for thinking outside the box and doing something

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Speaker 3: different to trying.

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Speaker 2: So the White House.

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Speaker 1: They're planning a March fourth meeting with some of the

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Speaker 1: top tech firms, including Microsoft, Meta and Anthropic, to formalize

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Speaker 1: and sign the pledge. Now, specifics on the pledge that

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Speaker 1: and how it's going to be enforced or measured that

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Speaker 1: has not been released yet. So this is all just

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Speaker 1: a good faith in the moment, well for now.

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Speaker 3: But I think that's what they're going to have in

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Speaker 3: this conversation when those tech giants come to the White House.

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Speaker 3: That should be the time when they hammer out the

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Speaker 3: specific they're going to get into.

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Speaker 1: The tech giants decide what they will and won't do.

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Speaker 1: I mean, there's no binding agreements right now, and there's

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Speaker 1: no requirements. So please come to the White House and

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Speaker 1: you tell us what you're willing to do.

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Speaker 4: Casey, I don't know.

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Speaker 3: The way we've been doing it has not been working.

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Speaker 3: Let's let Trump try try something different. Throw some stuff

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Speaker 3: against the wall sea. If it sticks, if it works, wonderful, fantastic.

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Speaker 3: If it doesn't, okay, well then you got to go

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Speaker 3: back to the drawing board and figures out.

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Speaker 1: I am completely confident that when Microsoft and Meta show

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Speaker 1: up to the White House for their big March fourth

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Speaker 1: meeting with Donald Trump about their pledge, that they're going

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Speaker 1: to have me and my wallet in mind.

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Speaker 4: Well no, but you're right, look silly of me.

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Speaker 3: Trump has shown that he has ways of exerting leverage

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Speaker 3: against waples.

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Speaker 4: He does.

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Speaker 3: He's got ways of exerting leverage over different people to

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Speaker 3: get done what he wants done.

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Speaker 4: And Trump hates being made a fool of.

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Speaker 3: So I can guarantee you that if he comes to

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Speaker 3: a deal with these tech giants announces it to the

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Speaker 3: American people, Look how fantastic and awesome I am with

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Speaker 3: this deal I did with the tech giants. And then

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Speaker 3: Microsoft and Meta and everybody else go back on that deal.

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Speaker 4: Yeah, that's not going.

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Speaker 3: To be too good from them, because that'll make Donald

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Speaker 3: Trump look dumb, and Trump hates looking dumb.

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Speaker 2: Right right, you're right.

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Speaker 1: So we're looking forward to some self fund self funding infrastructure.

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Speaker 4: You want it, pay for it, pay for it, But

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Speaker 4: that's Trump's done that.

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Speaker 3: Hey, look, Trump wanted a ballroom attached to the White House.

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Speaker 3: Not going to ask the American taxpayer to do it. Fine,

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Speaker 3: we'll drum up.

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Speaker 1: Four hundred million dollars one of his sponsors, Microsoft and Google.

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Speaker 3: I would much rather have Microsoft and Google pay for

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Speaker 3: the remodel at the White House and building the ballroom

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Speaker 3: than our tax dollar for.

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Speaker 4: What I don't know. But again, what did they getting

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Speaker 4: out of it? Again?

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Speaker 3: Obama wanted to redo the White House, and he went

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Speaker 3: to Congress and asked for three hundred million dollars and

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Speaker 3: they told him to stick it.

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Speaker 4: And so what did we get? We got absolutely nothing done.

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Speaker 3: So back to my point, at least Trump is trying

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Speaker 3: things different because the way we've been doing it hasn't worked.

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Speaker 1: You just reminded me of something you said, Obama. We

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Speaker 1: have to talk about the library.

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Speaker 4: Oh yes, and the Bears. What's going on?

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Speaker 3: I discovered a very interesting link between the Chicago Bears

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Speaker 3: stadium and the Obama Library being built in Chicago.

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Speaker 1: We'll talk about that coming up. It is ninety three WYBC.

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Speaker 4: So the Adiana Senate what they are.

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Speaker 2: They're not in session until one thirty today, so they.

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Speaker 4: Have not voted on the Bears Phil.

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Speaker 3: Yes, So the Senate, as it usually does, doesn't go

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Speaker 3: into session until one thirty, so it'll be sometime this

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Speaker 3: afternoon that we expect them to vote on the Chicago

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Speaker 3: Bears funding bill.

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Speaker 1: Yeah, the Northwest Indiana Stadium Authority.

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Speaker 4: We'll just call it the Bear bill, Bear's bill.

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Speaker 1: I mean, you say that and everybody knows what it is. Okay,

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Speaker 1: So the Chicago Bears they want a brand new stadium

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Speaker 1: to replace the aging Soldier Field Stadium in Chicago. And

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Speaker 1: I saw this, actually you showed this to me, and

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Speaker 1: I thought it was fascinating because this happened on Fox

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Speaker 1: thirty two in Chicago yesterday. They were having a GOP

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Speaker 1: governor debate.

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Speaker 3: So, yeah, three guys that are that are running want

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Speaker 3: to run for governor on the Republican side, talking about.

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Speaker 1: Ted Debrowski, James Mendrick, and also Rick Heidner, and they

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Speaker 1: were all asked they were weighing in on the stadium debate,

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Speaker 1: and they were all asked, should Illinois do more to

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Speaker 1: keep the Chicago Bears?

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Speaker 6: And I think we start with the news that's been

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Speaker 6: dominating the airways the last few days, the Bears. Today,

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Speaker 6: the Indiana House or passes legislation to lure them across

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Speaker 6: state lines.

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Speaker 4: I'll start with you with Ted Debrowski. Do you support.

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Speaker 6: Illinois legislation that would give the Bears the ability to

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Speaker 6: go sootiate their property tax rates with the municipality.

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Speaker 4: I don't.

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Speaker 6: I think right now we have the highest property taxes

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Speaker 6: in the country. People are just getting destroyed, whether Southern Illinois,

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Speaker 6: Central Illinois, or even on the West side where.

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Speaker 2: They were burning their property tax bills.

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Speaker 4: We should go.

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Speaker 1: It's a really long but they go on for about

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Speaker 1: three minutes because they talked to all the different candidates

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Speaker 1: and they all give their hot takes, and I just.

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Speaker 4: Thought it was really interesting. This is part of the governor's.

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Speaker 2: Debate in Chicago, you know, in Chicago on Fox thirty two.

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Speaker 3: Yeah, so this all comes down to whether or not

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Speaker 3: the city or the state of Illinois wants to fund

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Speaker 3: infrastructure and give tax breaks to the Chicago Bears, which

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Speaker 3: I get it, that's fine.

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Speaker 4: But then I came across.

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Speaker 3: An article that talked about how the city of Chicago

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Speaker 3: and the State of Illinois gave the Obama Presidential Library

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Speaker 3: three hundred and fifty million dollars in infrastructure so that

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Speaker 3: Obama would build his presidential library in Chicago.

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Speaker 4: And then's so I was like, yeah, okay, how much

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Speaker 4: what else do they do?

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Speaker 3: Turns out the state of Illinois and the City of

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Speaker 3: Chicago have given four billion dollars in tax breaks to

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Speaker 3: data centers being built in the state. They've also given

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Speaker 3: tons of other giveaways and tax breaks for other projects

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Speaker 3: that are going on, So that gotta be starting to

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Speaker 3: thinking about Okay, obviously they're spending the taxpayer dollars and

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Speaker 3: giving it away to free corporations all over the place.

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Speaker 4: What is it about the Bears. So here's my theory.

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Speaker 3: I'm going to start all the way at the beginning,

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Speaker 3: going back about five years ago with the Bears, and

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Speaker 3: I think it'll lead to why we got here. And

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Speaker 3: here here's my guess as to how this all went down.

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Speaker 3: The Bears play in the city of Chicago at Soldier

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Speaker 3: Field right now. That stadium, Soldier Field, is owned by

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Speaker 3: the Park District of Chicago.

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Speaker 4: It's got a lot of problems.

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Speaker 3: Look, if you've ever been to Soldier Field, either Old

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Speaker 3: Soldier Field or New Soldier Field, lots of problems with

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Speaker 3: the stadium. It is the smallest stadium in the NFL.

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Speaker 3: There's just a lot of problems with it, both from

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Speaker 3: the ownership of the Bear's perspective and the fans perspective.

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Speaker 3: And so the Bears go to the city of Chicago

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Speaker 3: and say, hey, look, we want a new stadium. And

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Speaker 3: you know, like all these stadiums are done, We're gonna

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Speaker 3: put up a bunch of money and you'll put up

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Speaker 3: some money and we'll get this done. And Basically, the

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Speaker 3: city of Chicago said, stick it, kick Rocks, We're not

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Speaker 3: doing anything for you, and what are you going to

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Speaker 3: do about it, Bears, what are you going to leave

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Speaker 3: the city of Chicago?

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Speaker 4: I dare you?

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Speaker 3: And the Bears said, okay, okay, fine, We're going to

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Speaker 3: go buy this former abandoned racetrack in Arlington Heights and

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Speaker 3: we'll pay the money out there and then we'll build

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Speaker 3: our stadium in Arlington Heights, and the city the politicians

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Speaker 3: in the City of Chicago went, oh, I wouldn't expecting that.

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Speaker 4: I didn't think you'd call our bluff.

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Speaker 3: So you got to understand how politics in Chicago and

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Speaker 3: Illinois work. Chicago runs the entire state. That's where the

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Speaker 3: seat of power in politics is. It's in the city

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Speaker 3: of Chicago, because it's got the population and it's got

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Speaker 3: the history. And we know that about Chicago. So my

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Speaker 3: guess is is that when the Bears threatened to move

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Speaker 3: to Arlington Heights, the politicians in Chicago didn't like that

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Speaker 3: at all, and so they got together with their friends

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Speaker 3: in the State House and said, hey, let's make sure

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Speaker 3: it make this really, really difficult for the Bears so

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Speaker 3: that they don't build in Arlington Heights and end up

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Speaker 3: crawling back to us and take whatever they get them to,

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Speaker 3: take whatever we give them to redo Soldier Field. And

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Speaker 3: that's how the process came about. And then within the

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Speaker 3: last year the Bears were like, well, both of these

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Speaker 3: options stink. And then Indiana said, hey, let's look over

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Speaker 3: the border and see what we got there. And then

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Speaker 3: Indiana rolls out the red carpet. Here's a billion dollars.

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Speaker 3: We're gonna get this done in two months for you.

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Speaker 1: Which to media does It's like the mem and the

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Speaker 1: guy walking along with the one girl and then he's

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Speaker 1: got his head turned back, looking the other way, right exactly,

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Speaker 1: Indiana is the girl. He's looking back.

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Speaker 3: Exactly what's that got the girl on your arm? But

401
00:18:34,960 --> 00:18:37,080
Speaker 3: you're interested in the hot girl walking the other direction.

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Speaker 3: That's exactly a great analogy for this. So now that

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Speaker 3: Indiana has come into the mix, now Chicago and Illinois

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Speaker 3: are like, Okay.

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Speaker 4: Well they haven't given up.

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Speaker 1: They're still trying to negotiate tax incentives and legislation.

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Speaker 3: But that's how I think we got here. It was

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Speaker 3: really the politicians in Chicago flexing their muscle to force

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Speaker 3: the Bears into redoing Soldier Field under the City of

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Speaker 3: Chicago's terms, and.

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Speaker 2: They're crying, poor though we don't have the money, We're

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Speaker 2: not going to do this to our taxpayers. Yet, here's

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Speaker 2: three hundred and fifty million dollars for the Obama Library.

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Speaker 1: Right.

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Speaker 3: We just gave four billion dollars in tax breaks to

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Speaker 3: build data centers in this state. So certainly the politicians

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Speaker 3: in Illinois have no problem spending Illinois tax dollars on

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Speaker 3: all sorts of free giveaways for park brand. They never

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Speaker 3: this has really never been about spending taxpayer dollars. It

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Speaker 3: has always been about forcing the Bears into a deal

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Speaker 3: at Soldier Field. And I think, finally, what the politicians

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Speaker 3: in Chicago and the Illinois State House are realizing that

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Speaker 3: the Bears now have too many options. So they've got

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Speaker 3: too many options. They've got this great option in Indiana,

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Speaker 3: and they they're finally going to come to the realization

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Speaker 3: that the only option to keep them in the state

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Speaker 3: Chicago's off the table.

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Speaker 4: They're going to have to do this deal.

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Speaker 2: Well, they made the mayor of Chicago cry too. He

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Speaker 2: didn't he didn't like that.

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Speaker 3: He looks like a guy that would cry pretty much

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Speaker 3: every morning when he wakes up.

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Speaker 2: You're listening to ninety three WI.

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Speaker 1: Have you ever tried to deny something and somebody like

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Speaker 1: shows you evidence and you're like.

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Speaker 4: Huh what what? I never did that?

437
00:20:15,880 --> 00:20:18,560
Speaker 3: Oh I have photographs of you right here doing that

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Speaker 3: exact same thing.

439
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Speaker 4: Oh oh no, not me.

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Speaker 2: I don't recall. I do not recall.

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Speaker 1: So the question is, does elan Omar, despite some on

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Speaker 1: screen evidence, reflect what miscommunication, political spin or complete lack

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Speaker 1: of accountability when it comes to public statements.

444
00:20:38,840 --> 00:20:41,720
Speaker 2: I'm gonna go with total lack of accountability.

445
00:20:41,840 --> 00:20:43,720
Speaker 4: I'm gonna take you one step further. She's a big

446
00:20:43,760 --> 00:20:46,560
Speaker 4: fat liar, that's what she is. And she got called

447
00:20:46,560 --> 00:20:47,440
Speaker 4: out and found out.

448
00:20:47,480 --> 00:20:51,480
Speaker 3: Look, these politicians, I mean, the biggest bunch of phonies

449
00:20:51,480 --> 00:20:54,040
Speaker 3: you've ever seen in your entire life. And ilan Omar

450
00:20:54,320 --> 00:20:57,000
Speaker 3: got completely called out in a lie and it.

451
00:20:56,920 --> 00:20:59,320
Speaker 4: Was captured on film and it's beautiful and glorious.

452
00:20:59,320 --> 00:21:01,680
Speaker 1: Okay, So we talked earlier in the show about how

453
00:21:01,880 --> 00:21:03,639
Speaker 1: you know, a lot of times these reporters will go

454
00:21:03,760 --> 00:21:05,679
Speaker 1: up to the reps and they'll ask them questions, and

455
00:21:05,760 --> 00:21:08,040
Speaker 1: it's like the walk and Talk. They got the microphone

456
00:21:08,080 --> 00:21:11,200
Speaker 1: and they're asking questions and oftentimes the reppers just trying

457
00:21:11,200 --> 00:21:11,720
Speaker 1: to get away.

458
00:21:12,480 --> 00:21:14,000
Speaker 2: Ilan Omar is one of those people.

459
00:21:14,320 --> 00:21:18,760
Speaker 1: So here's a reporter and she asks a question, and

460
00:21:19,280 --> 00:21:23,080
Speaker 1: ilan Omar says, I never said that, and then it

461
00:21:23,240 --> 00:21:28,080
Speaker 1: cuts away to the video evidence of when elan Omar

462
00:21:28,240 --> 00:21:30,840
Speaker 1: said it, and then back.

463
00:21:30,600 --> 00:21:32,480
Speaker 2: To the walk and talk in the hallway.

464
00:21:32,840 --> 00:21:33,720
Speaker 4: So listen to.

465
00:21:33,720 --> 00:21:37,639
Speaker 7: Thissly stated that the American people should be afraid of

466
00:21:37,680 --> 00:21:38,119
Speaker 7: the white man.

467
00:21:38,119 --> 00:21:41,320
Speaker 4: They should be fearful of the white man. I never

468
00:21:41,400 --> 00:21:41,840
Speaker 4: said that.

469
00:21:42,000 --> 00:21:42,680
Speaker 2: Yeah, you're on.

470
00:21:42,760 --> 00:21:48,240
Speaker 8: Video saying our country should be more fearful of white

471
00:21:48,320 --> 00:21:53,639
Speaker 8: man across our country because they are actually crossing most

472
00:21:53,720 --> 00:21:59,280
Speaker 8: of the deaths within this country. I did not, Yes, Gloria, again,

473
00:21:59,560 --> 00:22:02,840
Speaker 8: this is like what I said, you need to prepare

474
00:22:02,920 --> 00:22:06,280
Speaker 8: yourself because you can't continue embarrassing.

475
00:22:05,760 --> 00:22:06,560
Speaker 9: Yourself like this.

476
00:22:06,920 --> 00:22:07,960
Speaker 4: So I'm just a liar.

477
00:22:08,400 --> 00:22:11,920
Speaker 8: But what I was quoting was an actual study done

478
00:22:11,920 --> 00:22:12,760
Speaker 8: by the FBI.

479
00:22:13,359 --> 00:22:17,359
Speaker 4: Okay, thank you here, thanks all right, thank you congress woman.

480
00:22:17,760 --> 00:22:21,720
Speaker 1: So she denied it while proof was literally playing.

481
00:22:22,320 --> 00:22:23,119
Speaker 4: It's incredible.

482
00:22:23,160 --> 00:22:26,000
Speaker 1: I never said that, you're embarrassing yourself.

483
00:22:26,119 --> 00:22:29,399
Speaker 3: Yeah, like I said earlier, I mean this rejection is

484
00:22:29,480 --> 00:22:33,600
Speaker 3: a glorious clip, and kudos to that reporter for having

485
00:22:33,600 --> 00:22:35,760
Speaker 3: the receipts to be able to back it up immediately,

486
00:22:35,880 --> 00:22:36,280
Speaker 3: just like that.

487
00:22:36,640 --> 00:22:39,040
Speaker 4: But this is typical of politicians.

488
00:22:39,240 --> 00:22:41,160
Speaker 3: They're going to say whatever they want to say in

489
00:22:41,200 --> 00:22:44,000
Speaker 3: the moment to get what they need out of that moment,

490
00:22:44,080 --> 00:22:46,920
Speaker 3: and then rarely are they held accountable to this degree.

491
00:22:47,000 --> 00:22:50,080
Speaker 3: So to see her held accountable in person like that

492
00:22:50,320 --> 00:22:52,919
Speaker 3: on the spot, this is my favorite clip of the

493
00:22:53,040 --> 00:22:53,480
Speaker 3: entire day.

494
00:22:53,560 --> 00:22:55,959
Speaker 4: Oh was that audio? Best audio of that? That's your

495
00:22:56,000 --> 00:22:56,720
Speaker 4: audio of the day.

496
00:22:56,760 --> 00:22:58,560
Speaker 3: That's your clip of the day right there, All right,

497
00:22:58,600 --> 00:23:01,600
Speaker 3: Jilan Omar embarrassed herself in public like that.

498
00:23:01,720 --> 00:23:04,200
Speaker 1: Well, I've got another contender for you, okay, Well, believe

499
00:23:04,200 --> 00:23:07,600
Speaker 1: it or not. This comes from James Carpville and he's

500
00:23:07,680 --> 00:23:10,040
Speaker 1: talking to Elano Omar saying.

501
00:23:10,040 --> 00:23:12,679
Speaker 7: Get out of my party, lady, Why don't you just

502
00:23:12,720 --> 00:23:16,640
Speaker 7: get out to Democratic Party honestly, start your own movement?

503
00:23:16,960 --> 00:23:19,719
Speaker 7: All right, let's do the simple math, and probably sixty

504
00:23:19,800 --> 00:23:23,000
Speaker 7: nine percent down there we called Jim Garcina, Jeff Garrett,

505
00:23:23,520 --> 00:23:26,400
Speaker 7: roughly sixty nine percent of people going to vote in November.

506
00:23:26,720 --> 00:23:30,000
Speaker 7: Maybe more, let's do seventy for just round mayth are

507
00:23:30,000 --> 00:23:34,040
Speaker 7: going to be white. Of that forty eight percent, maybe

508
00:23:34,080 --> 00:23:36,200
Speaker 7: a little more. We're going to be mayor, So that's

509
00:23:36,400 --> 00:23:39,000
Speaker 7: roughly let's just call it thirty three and a third

510
00:23:39,040 --> 00:23:42,200
Speaker 7: percent of the entire election. Well, let's just run against them,

511
00:23:42,200 --> 00:23:45,720
Speaker 7: because that's so smart. All right, So now we're going

512
00:23:45,800 --> 00:23:49,440
Speaker 7: to have a campaign, but a progressive left against white

513
00:23:49,480 --> 00:23:53,800
Speaker 7: men who vote about the third of everybody who.

514
00:23:53,720 --> 00:23:54,480
Speaker 4: Votes in an election.

515
00:23:55,160 --> 00:23:58,400
Speaker 7: Why don't you, lady, start your own party and then

516
00:23:58,440 --> 00:24:00,280
Speaker 7: when it's over you for you want to call sort

517
00:24:00,320 --> 00:24:04,080
Speaker 7: of democrats. Fine, we agree with a lot of things

518
00:24:04,119 --> 00:24:06,840
Speaker 7: that you do, but we don't believe we ought to

519
00:24:06,880 --> 00:24:09,119
Speaker 7: be running against white men. In fact, we don't think

520
00:24:09,160 --> 00:24:12,040
Speaker 7: we ought to be running against any gender, any ethnic group,

521
00:24:12,160 --> 00:24:15,800
Speaker 7: any race, any religion, or anything else. These people are

522
00:24:15,880 --> 00:24:19,200
Speaker 7: just helpless. They cannot be helped. There's nothing you can

523
00:24:19,240 --> 00:24:21,560
Speaker 7: do to help them. They don't want to be helped.

524
00:24:22,119 --> 00:24:24,399
Speaker 7: And if they had any guts that start their own

525
00:24:24,480 --> 00:24:26,640
Speaker 7: the political party and get out of ours.

526
00:24:26,880 --> 00:24:29,040
Speaker 1: The thing is, okay, this is a guy he hasn't

527
00:24:29,040 --> 00:24:32,040
Speaker 1: want to campaign since nineteen ninety two. A former Clinton advisor,

528
00:24:32,119 --> 00:24:37,159
Speaker 1: James Carvall, the thing he needs to realize though she

529
00:24:37,440 --> 00:24:38,600
Speaker 1: is the Democrat party.

530
00:24:38,720 --> 00:24:41,119
Speaker 3: Yeah, he talks about get out of a start. Your

531
00:24:41,160 --> 00:24:44,280
Speaker 3: own party is party. Yeah, news flash, here it is.

532
00:24:44,960 --> 00:24:47,080
Speaker 3: They are the party, and they've got more and more

533
00:24:47,160 --> 00:24:52,080
Speaker 3: and growing influence. A perfect example elan Omar aoc Zo

534
00:24:52,200 --> 00:24:53,000
Speaker 3: ron Mondami.

535
00:24:53,080 --> 00:24:55,440
Speaker 4: I mean, there are plenty of ultraly.

536
00:24:55,000 --> 00:24:59,440
Speaker 3: Left whack job progressives and liberals that are a huge

537
00:24:59,440 --> 00:25:02,320
Speaker 3: part and need more and more influence every day in

538
00:25:02,359 --> 00:25:04,920
Speaker 3: the Democrat Party. And good on James Carvil for calling

539
00:25:04,960 --> 00:25:07,720
Speaker 3: out people in his own party. Whenever I hear James

540
00:25:07,760 --> 00:25:10,800
Speaker 3: Carvel clip, I can only understand about two thirds of

541
00:25:10,840 --> 00:25:13,080
Speaker 3: the words that he says because he's got that sick,

542
00:25:13,520 --> 00:25:17,080
Speaker 3: that thick creole Cajun accent on him there. But he's

543
00:25:17,080 --> 00:25:19,520
Speaker 3: always entertaining to listen to, because he's always like your

544
00:25:19,560 --> 00:25:21,960
Speaker 3: crazy uncle. His arms are up in the air, his

545
00:25:22,040 --> 00:25:24,680
Speaker 3: hair's usually a little messed up. Whatever Harry has left

546
00:25:24,880 --> 00:25:26,359
Speaker 3: half his words you can't understand.

547
00:25:26,440 --> 00:25:28,639
Speaker 4: There's certainly a liquor bottle behind him. There's always a

548
00:25:28,640 --> 00:25:30,680
Speaker 4: liquor bottle behind even when you don't.

549
00:25:30,480 --> 00:25:32,000
Speaker 2: Agree with him, at least he's entertaining.

550
00:25:32,200 --> 00:25:35,320
Speaker 3: Yeah, that's exactly my point is, James Carvel is at

551
00:25:35,400 --> 00:25:36,240
Speaker 3: least entertaining.

552
00:25:36,320 --> 00:25:39,080
Speaker 1: You may be speaking nonsense, but at least entertain me.

553
00:25:39,440 --> 00:25:41,200
Speaker 1: So there was a new poll that came out and said,

554
00:25:41,240 --> 00:25:46,080
Speaker 1: many Americans report they're doing okay personally in areas of

555
00:25:46,119 --> 00:25:51,119
Speaker 1: their everyday life. However, where they're having an issue is

556
00:25:51,160 --> 00:25:55,000
Speaker 1: the country. So it's not them that is the problem.

557
00:25:55,240 --> 00:25:56,520
Speaker 1: HiT's everyone else.

558
00:25:56,720 --> 00:25:58,680
Speaker 4: Oh you mean me?

559
00:25:58,520 --> 00:26:01,399
Speaker 3: I mean, couldn't be me that's the issue, didn't all

560
00:26:01,440 --> 00:26:02,440
Speaker 3: It's got to be you.

561
00:26:02,520 --> 00:26:05,080
Speaker 1: That pre a lot of polls that say, you know,

562
00:26:05,200 --> 00:26:08,560
Speaker 1: current life satisfaction is at an all time low. And

563
00:26:08,920 --> 00:26:12,639
Speaker 1: how there's the younger generation who still leave the country.

564
00:26:13,000 --> 00:26:15,840
Speaker 1: But when people are asked to head on, they say, oh, no,

565
00:26:16,040 --> 00:26:18,960
Speaker 1: I'm not the problem. It's how the country is run

566
00:26:19,000 --> 00:26:19,720
Speaker 1: that is the problem.

567
00:26:19,840 --> 00:26:22,159
Speaker 3: Yeah, And I think this is the continued, you know,

568
00:26:22,280 --> 00:26:26,000
Speaker 3: move of our culture into a more narcissistic society, even

569
00:26:26,080 --> 00:26:28,919
Speaker 3: more so than it's ever been in our lives. We

570
00:26:29,119 --> 00:26:31,800
Speaker 3: think we're right, We're going to argue and yell at

571
00:26:31,800 --> 00:26:33,679
Speaker 3: you and scream till we're blue in the face to

572
00:26:33,760 --> 00:26:36,160
Speaker 3: tell you we're right, and never listen to somebody's other

573
00:26:36,200 --> 00:26:39,600
Speaker 3: opinion or even challenge our own opinions on certain situations.

574
00:26:39,800 --> 00:26:42,400
Speaker 1: Well, you could also say that it shows a big

575
00:26:42,440 --> 00:26:47,760
Speaker 1: gap between personal well being and national pessimism that voters

576
00:26:47,800 --> 00:26:49,840
Speaker 1: want better governance, and why wouldn't you.

577
00:26:49,840 --> 00:26:52,760
Speaker 3: Well, i'll guarantee you that part of the results of

578
00:26:52,800 --> 00:26:54,800
Speaker 3: that study. There's a huge chunk of people in there

579
00:26:54,800 --> 00:26:58,280
Speaker 3: that absolutely have Trump arrangements syndrome. And so while they're

580
00:26:58,280 --> 00:27:02,120
Speaker 3: doing okay and they're financially and their family's good, they

581
00:27:02,119 --> 00:27:04,920
Speaker 3: see Trump in office and just can't think of anything

582
00:27:04,920 --> 00:27:07,000
Speaker 3: else other than the country's going to hell in a

583
00:27:07,040 --> 00:27:09,600
Speaker 3: handbasket and everything is in a terrible condition right now.

584
00:27:09,760 --> 00:27:13,320
Speaker 1: Well, they want some results on economy and security.

585
00:27:13,440 --> 00:27:14,399
Speaker 4: That's gonna be part of it too.

586
00:27:14,560 --> 00:27:16,600
Speaker 3: Sure, Look, we got to hold Trump accountable, and Trump

587
00:27:16,600 --> 00:27:18,360
Speaker 3: needs to do better. He's done some good things, he's

588
00:27:18,359 --> 00:27:20,159
Speaker 3: done some bad things, and we need more of the

589
00:27:20,240 --> 00:27:23,720
Speaker 3: good than the bad. But a huge portion of this

590
00:27:23,840 --> 00:27:27,119
Speaker 3: country is suffering from Trump derangement syndrome. Look at the

591
00:27:27,119 --> 00:27:29,760
Speaker 3: State of the Union when he sat there and said,

592
00:27:30,200 --> 00:27:32,719
Speaker 3: if you agree with me, stand up, we should focus

593
00:27:32,760 --> 00:27:36,359
Speaker 3: on American citizens first and not illegal aliens, and not

594
00:27:36,520 --> 00:27:39,840
Speaker 3: one Democrat stood up that right there is a perfect

595
00:27:39,920 --> 00:27:42,080
Speaker 3: example of Trump derangement syndrome.

596
00:27:42,119 --> 00:27:43,440
Speaker 4: Trump could cure.

597
00:27:43,280 --> 00:27:47,400
Speaker 3: Cancer by himself in a lab tomorrow and the Democrats

598
00:27:47,400 --> 00:27:50,240
Speaker 3: would be like, you know what, cancer's really been unfairly

599
00:27:50,320 --> 00:27:52,480
Speaker 3: maligned all these years. I don't know one of the

600
00:27:52,480 --> 00:27:57,439
Speaker 3: pharmaceutical companies to cancer really that bad. Yeah, Trump just

601
00:27:57,440 --> 00:27:59,639
Speaker 3: put a whole Trump just put a whole bunch of

602
00:27:59,680 --> 00:28:02,560
Speaker 3: farmersceutical researchers out of business because of this.

603
00:28:02,680 --> 00:28:04,520
Speaker 4: That would be what they would focus lay off. That

604
00:28:04,600 --> 00:28:05,119
Speaker 4: will happen.

605
00:28:05,200 --> 00:28:08,280
Speaker 1: Now, you do have one survey that says two thirds

606
00:28:08,280 --> 00:28:12,000
Speaker 1: of people say the US is too divided to effectively

607
00:28:12,080 --> 00:28:13,560
Speaker 1: solve its own problems.

608
00:28:14,080 --> 00:28:15,520
Speaker 4: That seems kind of legit.

609
00:28:15,920 --> 00:28:19,080
Speaker 10: Yeah, I mean, you have so much tribalism now, agreed,

610
00:28:19,240 --> 00:28:21,600
Speaker 10: And that's why I love to see some of the

611
00:28:21,640 --> 00:28:24,639
Speaker 10: things that Trump is doing again rather than just sitting

612
00:28:24,680 --> 00:28:26,359
Speaker 10: back and saying, Okay, we're going to do things the

613
00:28:26,359 --> 00:28:27,600
Speaker 10: way we've always done them.

614
00:28:27,800 --> 00:28:29,760
Speaker 3: And yeah, I know we're divided and that means we

615
00:28:29,760 --> 00:28:31,520
Speaker 3: can't get anything done, but this is the way we

616
00:28:31,560 --> 00:28:33,399
Speaker 3: do things, So you guys got to keep doing it

617
00:28:33,440 --> 00:28:35,080
Speaker 3: this way. And he said, no, I'm going to do

618
00:28:35,119 --> 00:28:37,480
Speaker 3: things on executive order and if you've got a problem

619
00:28:37,480 --> 00:28:37,679
Speaker 3: with it.

620
00:28:37,720 --> 00:28:38,640
Speaker 4: Challenge it in the courts.

621
00:28:38,720 --> 00:28:40,960
Speaker 3: And the courts have ruled in favor of Trump sometimes

622
00:28:40,960 --> 00:28:43,760
Speaker 3: and they've ruled against Trump sometimes, but Trump just keeps

623
00:28:43,800 --> 00:28:46,480
Speaker 3: pushing forward, saying We're not going to get caught into

624
00:28:46,560 --> 00:28:48,880
Speaker 3: this trap of well, that's just the way we've always

625
00:28:48,920 --> 00:28:49,280
Speaker 3: done it.

626
00:28:49,640 --> 00:28:52,600
Speaker 1: You may not like this, but there are private sector

627
00:28:52,640 --> 00:28:57,120
Speaker 1: tools like Starlink that can change the outcome of wars.

628
00:28:57,640 --> 00:29:01,520
Speaker 1: This is a great example and also highlight that how

629
00:29:01,600 --> 00:29:06,440
Speaker 1: technology is involved in conflicts around the world. Elon Musk

630
00:29:06,960 --> 00:29:11,720
Speaker 1: cut off Russia's access to Starlink satellite Internet. This after

631
00:29:11,840 --> 00:29:15,160
Speaker 1: Ukraine asked him to block their terminals and he did,

632
00:29:15,800 --> 00:29:19,080
Speaker 1: and now they're having issues with the Internet.

633
00:29:20,280 --> 00:29:24,479
Speaker 3: Look, this is this. Everybody should be celebrating this on

634
00:29:24,560 --> 00:29:26,440
Speaker 3: every level. And I get that there are people out

635
00:29:26,480 --> 00:29:30,200
Speaker 3: there that are uncomfortable that somebody like Elon Musk has such.

636
00:29:29,960 --> 00:29:32,280
Speaker 1: That much control and power, well that much control over

637
00:29:32,360 --> 00:29:33,240
Speaker 1: global conflicts.

638
00:29:33,360 --> 00:29:38,160
Speaker 3: Well okay, but he did that himself through the capitalistic

639
00:29:38,200 --> 00:29:41,080
Speaker 3: marketplace that we live in and built such an amazing,

640
00:29:41,520 --> 00:29:46,040
Speaker 3: incredible product in Starlink that a massive state like Russia

641
00:29:46,120 --> 00:29:47,760
Speaker 3: can't even build something on their own.

642
00:29:47,800 --> 00:29:49,040
Speaker 4: Look, Elon Musk has done this.

643
00:29:49,040 --> 00:29:53,840
Speaker 3: With space travel NASA that hardly sends up any rockets

644
00:29:53,880 --> 00:29:58,920
Speaker 3: on their own anymore. SpaceX by far and away, for

645
00:29:59,040 --> 00:30:01,800
Speaker 3: anything that's show into space out of the United States

646
00:30:01,840 --> 00:30:04,600
Speaker 3: of America, SpaceX is by far and away the one

647
00:30:04,640 --> 00:30:07,400
Speaker 3: that's doing it. He is essentially Elon Musk, through the

648
00:30:07,400 --> 00:30:11,880
Speaker 3: private marketplace, has privatized space travel, and NASA now has

649
00:30:11,960 --> 00:30:14,680
Speaker 3: really just kind of become an administrator and they hire

650
00:30:14,720 --> 00:30:17,280
Speaker 3: SpaceX to shoot most of their stuff into space. Right now,

651
00:30:17,480 --> 00:30:20,440
Speaker 3: I think that this is a situation where, in a

652
00:30:20,520 --> 00:30:23,840
Speaker 3: lot of ways, I'm much more comfortable with somebody like

653
00:30:23,880 --> 00:30:26,360
Speaker 3: Elon Musk or somebody that has been successful in the

654
00:30:26,360 --> 00:30:29,320
Speaker 3: private marketplace having that sort of power as opposed to

655
00:30:29,360 --> 00:30:31,440
Speaker 3: relying on state governments to have all of that power.

656
00:30:31,640 --> 00:30:35,480
Speaker 1: So Russia's been using some starlink technology to help with

657
00:30:35,520 --> 00:30:39,200
Speaker 1: their drones and also coordinate their attacks, and the Ukrainian

658
00:30:39,240 --> 00:30:43,160
Speaker 1: operators are saying that this has cut the Russian offensive

659
00:30:43,200 --> 00:30:47,240
Speaker 1: capability by half. It's slowed down a lot of assaults,

660
00:30:47,360 --> 00:30:51,000
Speaker 1: and it even helped Ukrainian forces regain some territory. And

661
00:30:51,040 --> 00:30:54,200
Speaker 1: the Russian troops have reportedly been forced back to using

662
00:30:54,480 --> 00:30:57,760
Speaker 1: old fashioned radios. Ain't nothing wrong with the radio, but

663
00:30:58,000 --> 00:31:02,960
Speaker 1: also less effective technology. And it does show that somebody

664
00:31:03,040 --> 00:31:07,160
Speaker 1: like Elon Musk with his technology and Starlink will have

665
00:31:07,280 --> 00:31:12,000
Speaker 1: a dramatic effect on the battlefield simply by just switching

666
00:31:12,000 --> 00:31:12,680
Speaker 1: off a connection.

667
00:31:12,920 --> 00:31:15,320
Speaker 3: And good for Elon Musk because he did that on

668
00:31:15,440 --> 00:31:17,840
Speaker 3: his own. He built that company, did it with the

669
00:31:17,880 --> 00:31:19,880
Speaker 3: rest of his employees and the other people that work

670
00:31:19,920 --> 00:31:22,640
Speaker 3: there and his other investors. But isn't that what we want?

671
00:31:23,320 --> 00:31:26,920
Speaker 3: We want the private sector to solve more problems. Hey, look,

672
00:31:27,000 --> 00:31:30,080
Speaker 3: the public the government sector barely does it look NASA

673
00:31:30,200 --> 00:31:31,200
Speaker 3: was a disaster.

674
00:31:31,440 --> 00:31:34,240
Speaker 2: No, the government's the cause of its solution to your.

675
00:31:34,080 --> 00:31:36,200
Speaker 4: Problem, exactly. They'll tell you that.

676
00:31:36,720 --> 00:31:40,840
Speaker 3: We want the private sector to have the vast majority

677
00:31:40,880 --> 00:31:44,600
Speaker 3: of solutions to the problems that we face as Americans

678
00:31:44,840 --> 00:31:48,400
Speaker 3: and essentially around the world as well. That's what we want.

679
00:31:48,680 --> 00:31:52,240
Speaker 3: We want space to be done by private companies. We

680
00:31:52,360 --> 00:31:55,600
Speaker 3: want communication with satellites to be done by private companies.

681
00:31:55,600 --> 00:31:57,400
Speaker 3: We don't want the government to be involved in it,

682
00:31:57,440 --> 00:31:59,840
Speaker 3: because we see what happens when the government leads it

683
00:31:59,880 --> 00:32:00,280
Speaker 3: to art.

684
00:32:00,440 --> 00:32:03,280
Speaker 2: Do you think that the cyber truck is faster than

685
00:32:03,320 --> 00:32:03,960
Speaker 2: a Porsche?

686
00:32:05,600 --> 00:32:07,640
Speaker 3: Because I am a car guy and I know a

687
00:32:07,640 --> 00:32:09,719
Speaker 3: lot about cars, I'm gonna say yes, it is. Well,

688
00:32:09,720 --> 00:32:12,480
Speaker 3: it depends on which Porsche you're talking about specifically, because

689
00:32:12,480 --> 00:32:15,040
Speaker 3: they make a ton of different models, but all electric

690
00:32:15,160 --> 00:32:19,640
Speaker 3: vehicles in general. In general, every electric vehicle is faster

691
00:32:19,760 --> 00:32:21,720
Speaker 3: than any gasoline powered engine.

692
00:32:21,720 --> 00:32:24,800
Speaker 1: Elon Musk says that the cyber truck is faster than

693
00:32:24,840 --> 00:32:27,480
Speaker 1: a Portion nine to eleven. And here he is I

694
00:32:27,480 --> 00:32:30,560
Speaker 1: thought this was kind of interesting because people have very

695
00:32:30,600 --> 00:32:34,040
Speaker 1: polarized views of the cyber truck. Some people think it's awesome,

696
00:32:34,080 --> 00:32:37,560
Speaker 1: other people think it's the ugliest vehicle ever. But here

697
00:32:37,640 --> 00:32:41,320
Speaker 1: he is talking about what inspired the cyber truck design.

698
00:32:42,400 --> 00:32:44,880
Speaker 9: You know, I wanted to just do something that looked unique,

699
00:32:45,480 --> 00:32:49,040
Speaker 9: and the cyber truck looks unique and has unique functionality.

700
00:32:49,680 --> 00:32:53,280
Speaker 9: And they're like, if there are three things, is there

701
00:32:53,280 --> 00:32:57,360
Speaker 9: any pores? Like, let's make it bulletproof, Let's make it

702
00:32:57,400 --> 00:33:00,000
Speaker 9: faster than a Portion nine to eleven, and we actual

703
00:33:00,160 --> 00:33:03,960
Speaker 9: cleared the quarter mile that the cyber truck. The can

704
00:33:05,240 --> 00:33:09,000
Speaker 9: clear a quarter mile while towing a Porsche nine to

705
00:33:09,040 --> 00:33:14,040
Speaker 9: eleven faster than a Porsche nine to eleven. It can

706
00:33:14,120 --> 00:33:17,000
Speaker 9: out tow an F three fifty diesel.

707
00:33:19,000 --> 00:33:21,320
Speaker 4: Really, yes, what is the toe limitations?

708
00:33:22,040 --> 00:33:24,160
Speaker 9: I mean we could tow like a you know, a

709
00:33:24,200 --> 00:33:26,640
Speaker 9: seven forty seven in that with a cyber cyber truck

710
00:33:26,720 --> 00:33:31,680
Speaker 9: is an insanely like it is an It is alien technology, okay,

711
00:33:32,760 --> 00:33:37,520
Speaker 9: of course, because it shouldn't be possible to be that

712
00:33:37,640 --> 00:33:41,160
Speaker 9: big and that fast. That doesn't It's like an elephant

713
00:33:41,160 --> 00:33:42,800
Speaker 9: that runs like a cheetah.

714
00:33:43,160 --> 00:33:45,800
Speaker 1: Did he say that the cyber truck could tow a

715
00:33:45,880 --> 00:33:48,400
Speaker 1: seven forty seven He did sta airplane.

716
00:33:48,520 --> 00:33:50,600
Speaker 4: Yes, yes, and in fact said that it could.

717
00:33:50,480 --> 00:33:53,560
Speaker 3: Beat a Porsche in the quarter mile while towing a

718
00:33:53,560 --> 00:33:56,200
Speaker 3: Porsche on a trailer. I don't know if those claims

719
00:33:56,200 --> 00:33:58,440
Speaker 3: are true, but at the end of the day, whether

720
00:33:58,480 --> 00:34:00,960
Speaker 3: they're true or not is not point in all of this.

721
00:34:01,080 --> 00:34:02,760
Speaker 3: The point in all of this is is that he

722
00:34:02,840 --> 00:34:05,600
Speaker 3: built something super super fast that has a crazy amount

723
00:34:05,600 --> 00:34:08,839
Speaker 3: of toy capacity and looks totally ridiculous. I've always said

724
00:34:08,840 --> 00:34:10,759
Speaker 3: this that if you went back to nineteen eighty five

725
00:34:10,960 --> 00:34:13,680
Speaker 3: and asked a thirteen year old boy to draw what

726
00:34:13,800 --> 00:34:16,479
Speaker 3: a car of the future would look like, it would

727
00:34:16,480 --> 00:34:18,319
Speaker 3: look a lot like what the cyber truck looks like.

728
00:34:18,560 --> 00:34:22,160
Speaker 3: Not a vehicle for me, but again totally support Elon

729
00:34:22,280 --> 00:34:24,960
Speaker 3: Musk and his vision and putting this product out in

730
00:34:25,000 --> 00:34:27,680
Speaker 3: the marketplace and if the consumer wants it and buys

731
00:34:27,719 --> 00:34:29,920
Speaker 3: it wonderful, and if they don't, it'll be a disaster

732
00:34:30,000 --> 00:34:31,200
Speaker 3: and a failure and it'll go away.

733
00:34:31,320 --> 00:34:34,840
Speaker 1: I believe it was just today he announced a twenty

734
00:34:34,960 --> 00:34:37,040
Speaker 1: thousand dollars cut.

735
00:34:37,120 --> 00:34:39,760
Speaker 2: On the cyber truck. Oh price cut Tesla.

736
00:34:39,880 --> 00:34:43,160
Speaker 1: Yeah, Tesla temporary lowering the starting price of its cyber

737
00:34:43,200 --> 00:34:46,360
Speaker 1: truck by twenty thousand dollars, making it the lowest entry

738
00:34:46,400 --> 00:34:48,400
Speaker 1: point yet for the pickup.

739
00:34:48,719 --> 00:34:49,840
Speaker 4: You consider her a pickup?

740
00:34:49,960 --> 00:34:51,720
Speaker 2: I guess it's a cyber truck.

741
00:34:52,920 --> 00:34:54,719
Speaker 4: Yeah, it just looks like you're looking.

742
00:34:54,440 --> 00:34:57,359
Speaker 3: At nothing like a standard pickup. Okay, question for you.

743
00:34:58,040 --> 00:35:01,319
Speaker 3: If you were given a free side truck, Yeah, but

744
00:35:01,360 --> 00:35:03,520
Speaker 3: that could be the only car that you drive for

745
00:35:03,560 --> 00:35:06,440
Speaker 3: the next ten years. You're taking that deal?

746
00:35:07,040 --> 00:35:08,840
Speaker 4: Yes, okay, No, I didn't know.

747
00:35:08,880 --> 00:35:11,279
Speaker 3: Absolutely, I didn't know if you were like, there's no

748
00:35:11,400 --> 00:35:14,240
Speaker 3: way I'd be caught dead in that ugly thing, although

749
00:35:14,320 --> 00:35:14,680
Speaker 3: I'd have.

750
00:35:14,640 --> 00:35:16,880
Speaker 2: A really high hard time parking it. It seems like

751
00:35:16,920 --> 00:35:17,600
Speaker 2: it's really big.

752
00:35:17,760 --> 00:35:19,040
Speaker 4: It's big. It's wide too.

753
00:35:19,239 --> 00:35:21,640
Speaker 1: I drive a small vehicle right now, and I kind

754
00:35:21,640 --> 00:35:23,560
Speaker 1: of like that that it's a little tiny thing.

755
00:35:23,640 --> 00:35:26,680
Speaker 3: And yes, I yesterday you parked over the line in

756
00:35:26,680 --> 00:35:29,120
Speaker 3: one of the parking spots too, so even with your

757
00:35:29,120 --> 00:35:29,760
Speaker 3: small vehicles.

758
00:35:30,000 --> 00:35:32,040
Speaker 4: Yet I got in trouble for it too, if you would.

759
00:35:32,480 --> 00:35:35,160
Speaker 1: I wanted to note that it was the car next

760
00:35:35,200 --> 00:35:37,319
Speaker 1: to me that was over the line which forced me

761
00:35:37,440 --> 00:35:38,399
Speaker 1: to go over the line.

762
00:35:38,440 --> 00:35:39,920
Speaker 2: It's like a domino, you know.

763
00:35:40,520 --> 00:35:43,000
Speaker 1: Yeah, one car does it, it affects all of them

764
00:35:43,000 --> 00:35:45,600
Speaker 1: in line. So thank you for going out to the

765
00:35:45,600 --> 00:35:46,719
Speaker 1: parking lot and moving my car.

766
00:35:46,760 --> 00:35:48,520
Speaker 4: By the way, You're welcome. Yeah.

767
00:35:48,520 --> 00:35:50,879
Speaker 3: I don't think the cyber truck is the right truck

768
00:35:51,000 --> 00:35:51,879
Speaker 3: the right car for you.

769
00:35:51,680 --> 00:35:52,440
Speaker 4: You don't think so.

770
00:35:52,560 --> 00:35:54,640
Speaker 3: I don't think you worried about me. I would be

771
00:35:54,680 --> 00:35:55,920
Speaker 3: concerned about it for me.

772
00:35:56,000 --> 00:35:56,640
Speaker 4: Too big for you.

773
00:35:56,800 --> 00:35:57,000
Speaker 1: Yeh.

774
00:35:58,120 --> 00:36:01,320
Speaker 3: I'm gonna ask one question real quick. Well, have you

775
00:36:01,400 --> 00:36:02,200
Speaker 3: ever backed out.

776
00:36:02,120 --> 00:36:03,719
Speaker 4: Of our driveway and hit a garbage can?

777
00:36:05,000 --> 00:36:05,360
Speaker 2: Yes?

778
00:36:05,560 --> 00:36:09,200
Speaker 4: Arrest your case, arrest my case, your honor. No more

779
00:36:09,280 --> 00:36:10,280
Speaker 4: questions for the witness.

780
00:36:11,520 --> 00:36:19,560
Speaker 1: You're listening to ninety three WIBC. You so need to

781
00:36:19,640 --> 00:36:24,359
Speaker 1: chase trends. Many times, your family history is priceless and

782
00:36:24,560 --> 00:36:26,560
Speaker 1: many times it's worth a lot of.

783
00:36:26,520 --> 00:36:30,319
Speaker 4: Money, and you may not even know. That's one of the.

784
00:36:30,280 --> 00:36:33,080
Speaker 1: Things that the Antiques Road Show points out. You know,

785
00:36:33,239 --> 00:36:37,240
Speaker 1: that's that long running TV show, and it's coming to Indianapolis.

786
00:36:37,400 --> 00:36:39,480
Speaker 2: It's going to be at New Fields in.

787
00:36:39,280 --> 00:36:43,800
Speaker 1: Indianapolis part of their twenty six production tour for season

788
00:36:44,120 --> 00:36:44,920
Speaker 1: thirty one.

789
00:36:46,360 --> 00:36:50,160
Speaker 3: I love Antiques Roadshow. I've always loved Antiques Road Show.

790
00:36:50,640 --> 00:36:52,839
Speaker 3: It has been a bit of a contention in our

791
00:36:52,880 --> 00:36:54,920
Speaker 3: house sometimes because You've never been a big fan of

792
00:36:54,920 --> 00:36:59,600
Speaker 3: that show. But I think we should go Monday, June first,

793
00:36:59,640 --> 00:37:02,200
Speaker 3: at New Fields, open to the public. It's an all

794
00:37:02,280 --> 00:37:04,600
Speaker 3: day appraisal. The type of things that I have, like

795
00:37:04,600 --> 00:37:07,000
Speaker 3: my sports collectibles that I have, that's not something they

796
00:37:07,040 --> 00:37:09,399
Speaker 3: really feature on Antiques Roadshow till now.

797
00:37:09,560 --> 00:37:11,600
Speaker 4: Well, I'm trying to hear that you don't know.

798
00:37:11,680 --> 00:37:13,600
Speaker 3: I'm trying to think of like something that we would

799
00:37:13,840 --> 00:37:17,239
Speaker 3: We don't really have antique, Like I don't have like

800
00:37:17,400 --> 00:37:22,240
Speaker 3: old vases or you know, paintings that are one hundred

801
00:37:22,320 --> 00:37:26,040
Speaker 3: years old that were handed down within my family's old jewelry.

802
00:37:27,120 --> 00:37:30,120
Speaker 1: We do have some old radios, but we like those

803
00:37:30,120 --> 00:37:30,880
Speaker 1: for decoration.

804
00:37:31,160 --> 00:37:33,279
Speaker 3: Yeah, those are just for the esthetic and those but

805
00:37:33,320 --> 00:37:35,759
Speaker 3: those aren't worth very much. I don't think that we've

806
00:37:35,800 --> 00:37:38,359
Speaker 3: really got anything to bring there, but I still would

807
00:37:38,400 --> 00:37:39,000
Speaker 3: just like to go.

808
00:37:39,280 --> 00:37:41,680
Speaker 4: He's an Hatcher from Saturday Night on the Circle.

809
00:37:43,120 --> 00:37:45,200
Speaker 3: Hatcher And if you don't want to go with me,

810
00:37:45,239 --> 00:37:47,719
Speaker 3: I'm gonna call up Ethan because he's got a ton

811
00:37:47,760 --> 00:37:49,040
Speaker 3: of stuff that will be perfect for that.

812
00:37:49,160 --> 00:37:50,520
Speaker 4: Yeah, appraisers are going to be there.

813
00:37:50,560 --> 00:37:53,880
Speaker 1: They're going to spend the day evaluating items. You have

814
00:37:53,960 --> 00:37:56,000
Speaker 1: to buy a ticket to go to the thing.

815
00:37:56,120 --> 00:37:57,640
Speaker 2: So here's here's what I propose.

816
00:37:57,800 --> 00:37:58,359
Speaker 4: What do you got?

817
00:37:58,640 --> 00:38:01,280
Speaker 1: I show up with all all of your high value

818
00:38:01,360 --> 00:38:03,280
Speaker 1: sports illustrateds.

819
00:38:02,560 --> 00:38:06,359
Speaker 2: And I say how much I need to clear it out?

820
00:38:06,520 --> 00:38:09,240
Speaker 4: I need some space. This is why I'm going with Ethan.

821
00:38:10,600 --> 00:38:12,680
Speaker 3: This is why Ethan and I are gonna go to

822
00:38:12,680 --> 00:38:16,560
Speaker 3: this antiques road show on Monday, June first, have.

823
00:38:16,440 --> 00:38:19,880
Speaker 4: Fun, go make lots of money. You know it.

824
00:38:20,040 --> 00:38:23,880
Speaker 1: Something happened last night and I couldn't be more excited

825
00:38:23,920 --> 00:38:24,400
Speaker 1: about it.

826
00:38:25,440 --> 00:38:27,319
Speaker 4: You know what it was. I know exactly what it was.

827
00:38:27,400 --> 00:38:37,160
Speaker 10: Yes, Kevin, this is my iconic season and you're going against.

828
00:38:37,120 --> 00:38:40,200
Speaker 7: Icon twenty four people across forty nine season.

829
00:38:40,480 --> 00:38:43,600
Speaker 4: This is like to said, everyone is coming at guns blazing.

830
00:38:44,080 --> 00:38:46,120
Speaker 3: I love this game and I'm excited to come back

831
00:38:46,160 --> 00:38:47,879
Speaker 3: and play it, and I will play a win.

832
00:38:48,320 --> 00:38:51,560
Speaker 4: This is my change to become a legend of this game.

833
00:38:51,800 --> 00:38:52,960
Speaker 5: It's gonna be a blood that.

834
00:38:56,239 --> 00:39:02,000
Speaker 4: I'm so good day there Las people will have what

835
00:39:02,080 --> 00:39:05,680
Speaker 4: it takes to outlast all the rest. This is Survivor

836
00:39:05,719 --> 00:39:08,320
Speaker 4: fifty In the Hands of the Fans.

837
00:39:08,760 --> 00:39:11,160
Speaker 2: Survivor celebrating its fiftieth season.

838
00:39:11,320 --> 00:39:14,319
Speaker 1: It had the premiere last night and it's called in

839
00:39:14,360 --> 00:39:16,200
Speaker 1: the Hands of the Fans, where the fans get to

840
00:39:16,280 --> 00:39:18,520
Speaker 1: vote on you know, do the survivors start off with

841
00:39:18,640 --> 00:39:21,000
Speaker 1: rice or do they have to earn rice? Do they

842
00:39:21,000 --> 00:39:23,440
Speaker 1: start off with tools? Do they have to earn the tools?

843
00:39:23,600 --> 00:39:27,600
Speaker 1: Twenty four former contestants. It's like the greatest hits of

844
00:39:28,000 --> 00:39:29,160
Speaker 1: Survivor contestants.

845
00:39:29,200 --> 00:39:31,120
Speaker 4: It's an all star cast. And I will give you credit.

846
00:39:31,160 --> 00:39:33,319
Speaker 4: You have been a huge Survivor fan. Now it's stuck

847
00:39:33,360 --> 00:39:36,600
Speaker 4: in the waters, and you know, yeah, right, there were

848
00:39:36,600 --> 00:39:38,000
Speaker 4: some time by one show.

849
00:39:37,840 --> 00:39:41,040
Speaker 3: It is your show, and I've thought recently I was like, gosh,

850
00:39:41,080 --> 00:39:43,160
Speaker 3: are you the only one that's keeping Survivor?

851
00:39:43,239 --> 00:39:45,160
Speaker 4: Like are people still watching Survivor?

852
00:39:46,080 --> 00:39:48,919
Speaker 3: I was skeptical, and then you were all excited about

853
00:39:48,920 --> 00:39:50,279
Speaker 3: the season premiere last night.

854
00:39:50,480 --> 00:39:51,399
Speaker 4: And then I woke up.

855
00:39:51,280 --> 00:39:53,239
Speaker 3: This morning and I looked what was trending out, like

856
00:39:53,360 --> 00:39:56,680
Speaker 3: five of the top ten things trending on Twitter this morning. Yeah,

857
00:39:56,680 --> 00:39:59,120
Speaker 3: we're all Survivor related, so I will give you credit.

858
00:39:59,120 --> 00:40:02,040
Speaker 3: Survivors still is being viewed and still has a big

859
00:40:02,080 --> 00:40:03,719
Speaker 3: place in our culture, much more than what I.

860
00:40:03,719 --> 00:40:04,279
Speaker 4: Would have thought.

861
00:40:04,840 --> 00:40:07,719
Speaker 2: I didn't realize. I mean, I know exactly where I was.

862
00:40:07,960 --> 00:40:11,640
Speaker 1: A show premiered May thirty one, two thousand.

863
00:40:13,000 --> 00:40:14,040
Speaker 2: It's going for the record.

864
00:40:14,480 --> 00:40:16,200
Speaker 4: Hey, that's how you get to fifty seasons.

865
00:40:16,320 --> 00:40:19,640
Speaker 1: Yeah, thank you, Jim, thank you, Kevin, Thank you for listening.

866
00:40:19,960 --> 00:40:22,000
Speaker 1: This is ninety three WIBC.