WEBVTT - This Is A S-Hole

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<v Speaker 1>Broadcasting live from the Abraham Lincoln Radio Studio at the

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<v Speaker 1>George Washington Broadcast Center.

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<v Speaker 2>Jack Armstrong and Joe Getty. Armstrong and Getty.

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<v Speaker 3>And now, here's Armstrong and Getty.

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<v Speaker 4>I think that the California high-speed rail nightmare is probably

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<v Speaker 4>the quintessential example of government waste and mismanagement.

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<v Speaker 2>You say this needs to stop. It needs to stop.

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<v Speaker 4>Congressman Vince Fong, a Republican from Bakersfield, sits on the

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<v Speaker 4>House Transportation Committee. He says that when California voters first

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<v Speaker 4>approved high-speed rail, the promise and price tag were more

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<v Speaker 4>marketing campaign than realistic projection. We're now in 2026.

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<v Speaker 2>There are no trains. There's no track laid. It's a

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<v Speaker 2>complete bait and switch. I don't even know what you

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<v Speaker 2>say about this at this point.

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<v Speaker 5>I call it the greatest government theft of taxpayer money

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<v Speaker 5>in American history. And you know, that's, it's certainly in

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<v Speaker 5>your top few. I think it's worth reviewing the numbers

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<v Speaker 5>very briefly. It is almost hilarious. So about 18 years ago,

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<v Speaker 5>Californians narrowly passed. Well, it was about four and a

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<v Speaker 5>half point when.

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<v Speaker 2>Being misled by a creatively written ballot. Oh yeah. 2008

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<v Speaker 2>ballot measure.

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<v Speaker 5>Um, to have a bullet train that would travel between

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<v Speaker 5>San Francisco and L.A.

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<v Speaker 2>In under three hours, okay? We'll just file that away.

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<v Speaker 5>A legislative bill said it should be completed by six

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<v Speaker 5>years ago, as we.

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<v Speaker 2>Speak these words in 2020. Completed by six years ago? Completed.

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<v Speaker 2>A bullet train from San Francisco to L.A. Completed, yes.

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<v Speaker 5>And the California High Speed Rail Authority's initial business plan

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<v Speaker 5>estimated a cost of $ 33 billion. Oh, I forgot the

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<v Speaker 5>lead of this Wall Street Journal article. Some 18 years

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<v Speaker 5>after California voted to launch a bullet train that would

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<v Speaker 5>travel between San Francisco and L.A.

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<v Speaker 2>In under three hours.

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<v Speaker 5>The project now costs billions more than planned. Hundreds of

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<v Speaker 5>billions more than planned. Wall Street Journal, to it, the numbers.

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<v Speaker 5>By the way, we're.

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<v Speaker 2>Throwing in for people if you don't live in California,

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<v Speaker 2>because a lot of you are listening around the country.

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<v Speaker 2>We all know this in California. It's a 50-minute flight

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<v Speaker 2>between San Francisco and Los Angeles, and it ain't real expensive,

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<v Speaker 2>and they have them every hour, all day long.

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<v Speaker 5>Cost you less than a nice dinner with a bottle

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<v Speaker 5>of wine, please. A decent dinner with a bad bottle

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<v Speaker 5>of wine, as a matter of fact. Anyway, yeah, how

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<v Speaker 5>many flights are there just between San Francisco and L.A.

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<v Speaker 2>Every day on Southwest Airlines? Like 50? I think, yeah,

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<v Speaker 2>I think it's hourly, certainly.

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<v Speaker 5>If you include, like, Burbank, and not to get overly,

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<v Speaker 5>you know, local about it, but San Jose, yeah, it's insane.

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<v Speaker 2>Anyway, let's see. So, done by 2020, done.

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<v Speaker 5>At a cost of $ 33 billion. After years of legal battles,

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<v Speaker 5>cost overruns, leadership changes, and political fights, none of that

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<v Speaker 5>has anything to do with this. The price tag is

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<v Speaker 5>up to $ 126 billion, bare minimum, with a high estimate

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<v Speaker 5>of $ 231 billion. And isn't expected to be fully operational

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<v Speaker 5>until 2040.

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<v Speaker 2>And isn't going to get anywhere close to L.A. or

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<v Speaker 2>San Francisco.

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<v Speaker 5>You're going to have to take like a three and

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<v Speaker 5>a half hour cab ride.

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<v Speaker 2>Depending on traffic, the train station to the heart of

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<v Speaker 2>the city. It's amazing how few journalists read the... Train

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<v Speaker 2>Authority's own website. They put on there what their current

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<v Speaker 2>plans are, and their plans are not currently to have

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<v Speaker 2>a train from San Francisco to L.A. It's from, what

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<v Speaker 2>is it, Gilroy to Palmdale or something? Yeah, something like that.

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<v Speaker 2>Which are towns not very close to downtown San Francisco

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<v Speaker 2>or downtown L.A.

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<v Speaker 5>Said Democratic State Senator Catherine Blakespear at a Transportation Committee

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<v Speaker 5>meeting in April.

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<v Speaker 2>Quote, this is a disaster.

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<v Speaker 5>I'm such an enthusiast for rail, and I really wanted

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<v Speaker 5>this to be successful. And just hearing these things make

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<v Speaker 5>it seem like we're proceeding on a wing and a prayer.

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<v Speaker 4>I know.

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<v Speaker 2>When I was going around England, I thought, this is

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<v Speaker 2>really cool. I never rented a car when I was

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<v Speaker 2>in England. I went everywhere by train, and they were

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<v Speaker 2>running all the time from town to town, and they

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<v Speaker 2>were cheap and easy. But for a variety of reasons,

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<v Speaker 2>we can't and haven't done that. Here in the United States.

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<v Speaker 2>But that wasn't high-speed rail. That was just regular rail.

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<v Speaker 2>It was a good way to get around. Oh, and

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<v Speaker 2>then the high-speed rail turned into regular rail. That's the

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<v Speaker 2>other thing that's on the website, if you read it.

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<v Speaker 2>It's not bullet train like you see on some video

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<v Speaker 2>about what they got in Japan anyway.

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<v Speaker 6>Yeah, yeah.

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<v Speaker 2>So, I don't know. There's plenty you could say about it.

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<v Speaker 5>Also, part of the original plan said that private money

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<v Speaker 5>would do most of the heavy lifting. But the initial

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<v Speaker 5>plan included, and I remember we were talking about this

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<v Speaker 5>at the time, and a lot of this most people

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<v Speaker 5>didn't hear about because most voters don't know what they're

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<v Speaker 5>voting about. But the estimates for the ridership and the

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<v Speaker 5>ticket prices and every single number in the formula, every

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<v Speaker 5>single one was utterly ridiculous.

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<v Speaker 2>Shouldn't that be a crime of some sort? Shouldn't you

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<v Speaker 2>be charged with fraud or something? It's not fraud if

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<v Speaker 2>the government does it. And there have been all sorts

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<v Speaker 2>of trials and cases and petitions to end the thing,

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<v Speaker 2>just to end it. And I've been calling it a

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<v Speaker 2>vampire now for like 15 years. It can't be killed.

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<v Speaker 2>Here's a little more from the 60 Minutes piece on

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<v Speaker 2>trying to complete this dang thing.

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<v Speaker 4>Back in California, the rail authority insists state funds can

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<v Speaker 4>cover the cost of the Central Valley leg. As for

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<v Speaker 4>the rest, just to be clear, as we speak right now,

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<v Speaker 4>are the funds there to complete LA to San Francisco?

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<v Speaker 2>The entire amount of money we need, not there today.

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<v Speaker 2>But do we believe we can get those funds to

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<v Speaker 2>get the project done? Absolutely. We believe we can milk

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<v Speaker 2>more taxpayers. for millions of more dollars, basically stealing from them,

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<v Speaker 2>basically the same as knocking them down on the sidewalk

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<v Speaker 2>and reaching into their pocket. Theft, because you know it's

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<v Speaker 2>freaking theft. I don't know. Do I just have... Do

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<v Speaker 2>you have abnormal moral compasses or.

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<v Speaker 2>How do so many people rip people off and sleep

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<v Speaker 2>at night? How many people must be involved in this?

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<v Speaker 2>Thousands of people over the decades that know they're just

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<v Speaker 2>flat-out stealing. How do you do that with your life

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<v Speaker 2>and be okay with it?

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<v Speaker 5>You just see the scam all around them, and the

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<v Speaker 5>scam is how you work it. It's like being in

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<v Speaker 5>the Soviet Union or something like that. Scamming the government

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<v Speaker 5>is the only way to get ahead. And the politicians,

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<v Speaker 5>they understand that the people, the unions, the towns, whatever,

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<v Speaker 5>that are depending on this flow of money will always, always,

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<v Speaker 5>always vote Democrat. because the Democrats will keep the money flowing.

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<v Speaker 5>It's graft of the most obvious sort.

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<v Speaker 2>So they convince themselves somehow that either this is actually

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<v Speaker 2>going to happen and it's good for the environment because

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<v Speaker 2>climate change is so important, or this will help us

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<v Speaker 2>get votes and our party is the only thing standing

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<v Speaker 2>between us and fascism. There must be some stretch that

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<v Speaker 2>they use to convince themselves that they're doing the right thing.

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<v Speaker 5>I think what's at the heart of the answer to

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<v Speaker 5>your question is that Most people, and I've learned this

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<v Speaker 5>slowly but surely, most people are way better at rationalizing

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<v Speaker 5>away reality than you think they are. These people think

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<v Speaker 5>it's a great project. It's going to be built. There's

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<v Speaker 5>just been a hiccup or two because the money's flowing

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<v Speaker 5>into their pockets. A lot of otherwise decent people convince

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<v Speaker 5>themselves that what they're doing is not wrong because then

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<v Speaker 5>they can sleep at night. Certain ones of us, we

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<v Speaker 5>bump up against our conscience and our grasp of reality

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<v Speaker 5>and we can't do that. But these people can do

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<v Speaker 5>that and they're good at it. One more couple of numbers.

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<v Speaker 5>The initial section now between Bakersfield, California and Merced, California.

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<v Speaker 5>And for what it's worth, if you're not familiar with

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<v Speaker 5>the topography, I mean, Bakersfield is a mountain range and

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<v Speaker 5>a long drive away from Los Angeles. And Merced is

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<v Speaker 5>so far away from San Francisco, it's not even like

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<v Speaker 5>an excerpt.

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<v Speaker 2>It's like a different region. So the Merced to Bakersfield... route.

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<v Speaker 5>Will be done in 2023, they say, and will cost

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<v Speaker 5>something like $ 36 billion.

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<v Speaker 2>Did you mean 33 or did you have a time machine?

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<v Speaker 2>2023 is three years ago. I'm sorry.

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<v Speaker 6>2033.

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<v Speaker 2>Oh, okay.

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<v Speaker 5>2033 and cost $ 36 billion. Okay.

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<v Speaker 2>So here's the answer. How much will it cost to

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<v Speaker 2>finish the part that gets it LA to San Francisco?

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<v Speaker 2>This is from 60 Minutes.

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<v Speaker 4>How much do you estimate it's gonna cost to connect

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<v Speaker 4>high speed rail San Francisco to LA?

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<v Speaker 3>Today, we estimate with the right optimization, just over $ 125 billion.

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<v Speaker 3>I think $ 126 billion is the current estimate for that.

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<v Speaker 4>That's more funding than Amtrak has received in its history

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<v Speaker 4>and still leaves a shortfall of roughly $ 90 billion.

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<v Speaker 2>That's a big gap to fill.

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<v Speaker 3>It is a big gap to fill, but again, we

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<v Speaker 3>have an understanding of how to get there and to

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<v Speaker 3>fill that gap.

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<v Speaker 4>A gap the authority hopes to fill with a new

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<v Speaker 4>plan to cut costs, lure private investment, and connect to

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<v Speaker 4>bigger cities much sooner.

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<v Speaker 2>That's more than nationwide Amtrak that's been around my whole

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<v Speaker 2>life has received in its history? Wow, that's a stat.

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<v Speaker 5>And don't let that last quote go by you too quickly.

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<v Speaker 5>It's a gap that the rail authority plans to, you know,

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<v Speaker 5>bridge through lowering costs.

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<v Speaker 2>Oh, good. I'll do the same.

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<v Speaker 5>I'm going to lower the costs of my mortgage and

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<v Speaker 5>my car. I'm going to lower the cost of the

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<v Speaker 5>food I buy at the grocery store.

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<v Speaker 2>How are you going to do that exactly? Anyway, we'll

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<v Speaker 2>put that aside.

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<v Speaker 5>Maybe they can buy in bulk and get a discount

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<v Speaker 5>and attract private investment.

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<v Speaker 2>To what? An asshole?

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<v Speaker 5>A money pit that will never be filled? What sort

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<v Speaker 5>of moron would invest in your project? Nobody has and

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<v Speaker 5>nobody will. Unless they're on the take from Gavin Newsom.

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<v Speaker 5>What a good plan you have for bridging the gap.

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<v Speaker 2>Good Lord. Well, we're arguing like these are good faith

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<v Speaker 2>arguments and they aren't.

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<v Speaker 7>Right.

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<v Speaker 2>Although, the people.

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<v Speaker 5>The taxpayers have to realize this stuff, internalize it, and

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<v Speaker 5>act on it.

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<v Speaker 2>Liberals, this is what I always say about this stuff. Liberals, again,

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<v Speaker 2>I don't care about the downtrodden. I really don't. You do.

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<v Speaker 2>You're the one who cares. You're the one who should

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<v Speaker 2>be upset about this. This is taxpayer money, which there's

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<v Speaker 2>a limited amount of. You should want this money going

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<v Speaker 2>to all the, you know, one-legged trans BIPOC kids who

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<v Speaker 2>need your help.

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<v Speaker 5>Yes, look at them struggling with their one leg. Two

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<v Speaker 5>final quotes from me, then I'll shut up. State Senator

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<v Speaker 5>Tony Strickland, a Republican, said at the Transportation Committee meeting,

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<v Speaker 5>I don't think this will ever be built, has proposed

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<v Speaker 5>to the people in California. I know I wouldn't put

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<v Speaker 5>my money and invest in this, but I wish you luck.

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<v Speaker 5>Second quote, Joe Pearson, a Bakersfieldian, quote, Nobody here in

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<v Speaker 5>Bakersfield says.

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<v Speaker 2>Hey, I want to go to Merced. Which is a

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<v Speaker 2>good joke and true. But I was watching the 60

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<v Speaker 2>Minutes piece and they had the map up there and

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<v Speaker 2>everything like that. And I thought, when would I ever,

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<v Speaker 2>even if they got this thing built and it's running

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<v Speaker 2>all the time and it's efficient and reliable, when would

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<v Speaker 2>I ever decide, you know, I'm going to take the

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<v Speaker 2>train this time instead of fly southwest? When would I

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<v Speaker 2>ever do that?

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<v Speaker 5>You had a day to kill and wanted to look

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<v Speaker 5>at the stunning scenery of the Central Valley of California.

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<v Speaker 2>Which is fine, but I'm joking. It's not that stunning.

0:12:30.390 --> 0:12:37.080
<v Speaker 5>No, no, it is an absolutely transparent, ginormous theft of

0:12:37.140 --> 0:12:37.880
<v Speaker 5>taxpayer money.

0:12:40.020 --> 0:12:45.240
<v Speaker 2>You laugh. I laugh. Yeah, I have a laugh. Some

0:12:45.280 --> 0:12:49.079
<v Speaker 2>more interesting Dolly facts for you as the world pours

0:12:49.140 --> 0:12:51.380
<v Speaker 2>out their heart in memory of Dolly Parton.

0:12:51.520 --> 0:12:56.580
<v Speaker 5>And I mean everyone. The wide variety is just absolutely incredible.

0:12:57.760 --> 0:13:02.570
<v Speaker 5>The most famous Dolly of all time, probably. Dolly the

0:13:02.610 --> 0:13:04.410
<v Speaker 5>cloned sheep, a contender.

0:13:04.970 --> 0:13:09.170
<v Speaker 2>Dolly Madison. Dolly Madison, a hugely popular Dolly. Hailing in comparison.

0:13:10.530 --> 0:13:12.160
<v Speaker 2>Historical significance, uh.

0:13:14.480 --> 0:13:17.420
<v Speaker 2>We'll see. Probably Dolly Parton. We'll have to see. Check

0:13:17.440 --> 0:13:20.520
<v Speaker 2>back in 100 years. And remembering, we got a text earlier.

0:13:20.600 --> 0:13:27.840
<v Speaker 2>She had big boobs. Thank you for that text. Well observed. Okay,

0:13:27.860 --> 0:13:35.179
<v Speaker 2>more on the way. Stay here. Armstrong and Getty. This

0:13:35.300 --> 0:13:38.939
<v Speaker 2>is the band at Buckingham Palace. The guys in the

0:13:39.000 --> 0:13:42.140
<v Speaker 2>red coats and the big tall fur hats standing out

0:13:42.160 --> 0:13:44.679
<v Speaker 2>on the lawn at Buckingham Palace playing 9 to 5

0:13:44.679 --> 0:13:48.780
<v Speaker 2>the Dolly Parton song. Huh, that's lovely. Once again showing

0:13:48.880 --> 0:13:54.830
<v Speaker 2>the reach of Dolly Parton, which should be studied and understood.

0:13:56.330 --> 0:14:01.030
<v Speaker 2>She's one of the most universally liked things up there

0:14:01.050 --> 0:14:03.830
<v Speaker 2>with hamburgers and sex in the history of the world.

0:14:04.510 --> 0:14:05.270
<v Speaker 2>It's really quite amazing.

0:14:06.210 --> 0:14:06.510
<v Speaker 5>Yeah.

0:14:06.690 --> 0:14:09.210
<v Speaker 2>And, you know, we were talking earlier about why that is,

0:14:09.250 --> 0:14:13.250
<v Speaker 2>so we'll probably talk about that more later. I had

0:14:13.350 --> 0:14:15.070
<v Speaker 2>one more point I was going to make before I

0:14:15.130 --> 0:14:19.670
<v Speaker 2>got to this breaking news. Breaking news! Breaking news, Donkey Michael!

0:14:19.750 --> 0:14:22.830
<v Speaker 2>Breaking news, Donkey!

0:14:23.410 --> 0:14:25.150
<v Speaker 5>The news breaks a donkey braze.

0:14:25.170 --> 0:14:27.730
<v Speaker 2>It was happening right in our backyard in federal court

0:14:27.770 --> 0:14:31.830
<v Speaker 2>in Oakland. Metta has settled out of court. I took

0:14:32.050 --> 0:14:36.310
<v Speaker 2>one law class in college. One. and he hammered this

0:14:36.370 --> 0:14:38.670
<v Speaker 2>every single day, so it stuck in my head. I

0:14:38.710 --> 0:14:41.190
<v Speaker 2>guess he wanted us to remember this. You can settle

0:14:41.310 --> 0:14:44.860
<v Speaker 2>at any time. At any time. That's a good point. Before,

0:14:45.360 --> 0:14:47.540
<v Speaker 2>the very beginning, right before the end, in the middle,

0:14:47.800 --> 0:14:51.320
<v Speaker 2>any time, you can settle. And that's what happened here.

0:14:51.880 --> 0:14:56.370
<v Speaker 2>Meta to pay up to $ 17. 1 billion in landmark settlement

0:14:56.430 --> 0:14:59.750
<v Speaker 2>over social media addiction claims. There are 47 states involved.

0:15:02.110 --> 0:15:06.520
<v Speaker 2>the District of Columbia and U.S. territories, trying to claim

0:15:06.560 --> 0:15:12.640
<v Speaker 2>that Meta was purposefully ruining our children or something. Certainly recklessly.

0:15:14.720 --> 0:15:17.470
<v Speaker 2>And at some point, Meta decided that cutting a check

0:15:17.490 --> 0:15:20.610
<v Speaker 2>for $ 17 billion is better than letting this continue. That's

0:15:20.630 --> 0:15:24.840
<v Speaker 2>a big check. That is a big dang check. Jonathan Turley,

0:15:24.960 --> 0:15:28.080
<v Speaker 2>the lawyer from George Washington Law School, the professor who's

0:15:28.140 --> 0:15:30.660
<v Speaker 2>on Fox all the time, has some commentary on this.

0:15:30.750 --> 0:15:34.590
<v Speaker 2>Let's hear a little of that. Click 90, Michael. Well,

0:15:34.630 --> 0:15:35.590
<v Speaker 2>this is seismic.

0:15:36.050 --> 0:15:38.430
<v Speaker 6>It's going to be something of a dinner gong for

0:15:38.950 --> 0:15:41.910
<v Speaker 6>both states and plaintiff attorneys, and I think that Meta

0:15:41.950 --> 0:15:46.220
<v Speaker 6>knows that. But in many ways, for the company, this

0:15:46.290 --> 0:15:48.500
<v Speaker 6>is still chump change. I mean, this is a company

0:15:48.520 --> 0:15:52.460
<v Speaker 6>that makes a huge amount of money, and When you

0:15:52.500 --> 0:15:55.580
<v Speaker 6>reach a settlement like this, we've seen, for example, in

0:15:55.600 --> 0:15:59.420
<v Speaker 6>the tobacco settlement, that these companies actually don't end up

0:15:59.500 --> 0:16:03.110
<v Speaker 6>losing money because of the benefits in the market in

0:16:03.150 --> 0:16:07.250
<v Speaker 6>resolving litigation. Their stock tends to go up and they're

0:16:07.290 --> 0:16:08.850
<v Speaker 6>able to cover these losses.

0:16:11.310 --> 0:16:13.110
<v Speaker 2>That's kind of interesting. I guess I didn't know that

0:16:13.170 --> 0:16:16.110
<v Speaker 2>last part. Could you just roll into the next one?

0:16:16.120 --> 0:16:19.020
<v Speaker 2>I'm kind of interested in the details of the arguments.

0:16:19.440 --> 0:16:22.620
<v Speaker 6>I think in fairness to the 29 states that brought

0:16:22.680 --> 0:16:27.350
<v Speaker 6>this lawsuit, there is a commitment here to change the app,

0:16:27.390 --> 0:16:33.110
<v Speaker 6>to change this software, to create greater protections. The issue

0:16:33.250 --> 0:16:36.590
<v Speaker 6>here for Meta was that legally they had some very

0:16:36.630 --> 0:16:40.470
<v Speaker 6>good arguments to make here. The line between what's an

0:16:40.550 --> 0:16:45.240
<v Speaker 6>addictive and what's a popular product is often hard to Yeah,

0:16:45.440 --> 0:16:45.940
<v Speaker 6>I'd say.

0:16:46.800 --> 0:16:47.420
<v Speaker 2>It's interesting.

0:16:47.460 --> 0:16:51.040
<v Speaker 5>The settlement was actually with 47 states, the District of

0:16:51.120 --> 0:16:54.250
<v Speaker 5>Columbia and U.S. territories, some of which were not part

0:16:54.270 --> 0:16:56.979
<v Speaker 5>of this specific suit, I have a feeling. But, yeah,

0:16:57.000 --> 0:16:59.750
<v Speaker 5>that's a heck of a gesture, thinking, no, let's not

0:16:59.870 --> 0:17:01.030
<v Speaker 5>take this all the way to the jury.

0:17:01.070 --> 0:17:03.910
<v Speaker 2>Let's just end it. Well, and as Turley said there,

0:17:03.930 --> 0:17:06.390
<v Speaker 2>and if we've talked about, Meta has some really good arguments.

0:17:06.510 --> 0:17:08.530
<v Speaker 2>You know, so did Roundup, and they ended up paying

0:17:08.609 --> 0:17:11.359
<v Speaker 2>out ridiculous amounts of money, even though there's no scientific

0:17:11.410 --> 0:17:13.960
<v Speaker 2>proof they caused cancer. So that's a tough one.

0:17:14.200 --> 0:17:15.280
<v Speaker 5>Armstrong and Getty.

0:17:16.670 --> 0:17:18.510
<v Speaker 1>What we're not gonna do is talk about Dolly Parton

0:17:18.550 --> 0:17:21.950
<v Speaker 1>like we lost an 80-year-old woman because Dolly Parton was

0:17:21.950 --> 0:17:25.270
<v Speaker 1>25 years old for approximately 55 consecutive years.

0:17:25.369 --> 0:17:27.399
<v Speaker 2>I don't know how she did it.

0:17:27.470 --> 0:17:31.790
<v Speaker 1>Dolly Parton looked at aging and said, well, there's a

0:17:31.810 --> 0:17:32.750
<v Speaker 1>precious little idea.

0:17:32.810 --> 0:17:33.450
<v Speaker 2>No, thank you.

0:17:33.530 --> 0:17:36.050
<v Speaker 1>That woman had the same blood, had the same smile,

0:17:36.090 --> 0:17:38.750
<v Speaker 1>the same energy, the same heels, the same amount of

0:17:38.869 --> 0:17:41.710
<v Speaker 1>woman from the time your grandma was young until five

0:17:41.750 --> 0:17:45.109
<v Speaker 1>minutes ago. Dolly Parton didn't get older. The rest of

0:17:45.230 --> 0:17:47.360
<v Speaker 1>us just kept catching up to her.

0:17:47.540 --> 0:17:50.359
<v Speaker 2>How great is that, Katie? That's a comedian I don't know.

0:17:50.400 --> 0:17:53.680
<v Speaker 2>Who does that? A comedian named Josh Frey that I

0:17:53.720 --> 0:17:53.980
<v Speaker 2>don't know.

0:17:54.460 --> 0:17:57.960
<v Speaker 7>She's been 25 for 50 consecutive years.

0:17:58.080 --> 0:18:00.120
<v Speaker 2>Right. She looked at age and said, I'm not going

0:18:00.140 --> 0:18:05.180
<v Speaker 2>to do that. Oh, no, thank you. Fantastic. Good stuff.

0:18:05.500 --> 0:18:10.869
<v Speaker 2>Good stuff. So I wanted to play this whole appearance

0:18:11.050 --> 0:18:13.490
<v Speaker 2>of Dolly Parton on Johnny Carson way back in the day.

0:18:13.550 --> 0:18:16.430
<v Speaker 2>The whole thing is good, including her singing the song

0:18:16.470 --> 0:18:18.449
<v Speaker 2>to Johnny that she wrote for him. But this is

0:18:18.550 --> 0:18:22.200
<v Speaker 2>a classic moment. It's been pretty well-blessed. People are always

0:18:22.619 --> 0:18:23.740
<v Speaker 2>asking if they're real.

0:18:23.800 --> 0:18:24.359
<v Speaker 7>Oh, I would never.

0:18:24.480 --> 0:18:27.179
<v Speaker 2>I would never, you see. No, you don't have to ask.

0:18:27.720 --> 0:18:33.910
<v Speaker 2>I would not. I'll tell you what. I have certain guidelines.

0:18:34.170 --> 0:18:36.130
<v Speaker 2>But I would give about a year's pay to peek

0:18:36.190 --> 0:18:42.909
<v Speaker 2>under there. That is just lurid, I don't tell. I

0:18:43.109 --> 0:18:47.170
<v Speaker 2>can't believe it. We've got some more interesting Dolly Parton stuff.

0:18:47.210 --> 0:18:50.990
<v Speaker 2>I keep scrolling through and coming across... Some of the

0:18:51.050 --> 0:18:54.149
<v Speaker 2>musical performances. When she got together with Emmylou Harris and

0:18:54.210 --> 0:18:56.370
<v Speaker 2>Linda Ronstadt for a couple albums, there was some really

0:18:56.390 --> 0:18:58.869
<v Speaker 2>good music on there. But this performance of Neil Young's

0:18:59.070 --> 0:19:01.870
<v Speaker 2>After the Gold Rush from Letterman in the 90s, whoa,

0:19:01.910 --> 0:19:05.550
<v Speaker 2>that's good. Really, really good. Have to dig into that.

0:19:05.830 --> 0:19:10.230
<v Speaker 5>I loved, Jack was texting, tweeting, I guess texting Twitter

0:19:10.270 --> 0:19:13.030
<v Speaker 5>links to the internal group here of the show. Of

0:19:13.130 --> 0:19:16.160
<v Speaker 5>all the tributes that were pouring out, and they were

0:19:16.220 --> 0:19:20.850
<v Speaker 5>all really beautiful and touching, including Eminem, a.k.a. Marshall Mathers.

0:19:21.670 --> 0:19:24.500
<v Speaker 5>who shared a note Dolly wrote to him when he won,

0:19:24.760 --> 0:19:25.340
<v Speaker 5>I can't remember.

0:19:25.359 --> 0:19:27.959
<v Speaker 2>Yeah, I got that in front of me. So Eminem

0:19:28.180 --> 0:19:30.220
<v Speaker 2>tweeted out, I'm sorry we never got a chance to meet,

0:19:30.260 --> 0:19:32.419
<v Speaker 2>but getting this note from Dolly really had an impact

0:19:32.480 --> 0:19:34.200
<v Speaker 2>on me. She definitely didn't have to take the time

0:19:34.240 --> 0:19:36.000
<v Speaker 2>to do it. Even for a kid who mostly listened

0:19:36.020 --> 0:19:38.480
<v Speaker 2>to rap music, she was an icon, a superstar in

0:19:38.530 --> 0:19:40.550
<v Speaker 2>every sense. Rest easy, Dolly, and thank you for the

0:19:40.570 --> 0:19:43.110
<v Speaker 2>kind words. This is the letter that Dolly Parton wrote

0:19:43.150 --> 0:19:48.090
<v Speaker 2>to Eminem out of nowhere. Marshall, Eminem, congratulations on your

0:19:48.130 --> 0:19:49.730
<v Speaker 2>induction into the Rock and Roll Hall of Fame. Your

0:19:49.750 --> 0:19:52.639
<v Speaker 2>performance was amazing and everybody said so. Even though I

0:19:52.680 --> 0:19:54.359
<v Speaker 2>don't know a lot about rap music, I've come to

0:19:54.400 --> 0:19:56.399
<v Speaker 2>know that you were the very best at it. Aside

0:19:56.440 --> 0:19:57.900
<v Speaker 2>from that, I hope what I have to say will

0:19:57.920 --> 0:20:00.510
<v Speaker 2>not seem weird or strange to you, but I've always

0:20:00.590 --> 0:20:03.390
<v Speaker 2>felt some unexplained connection to you, like I know you somehow.

0:20:03.869 --> 0:20:05.210
<v Speaker 2>I'd hope to meet you at the show, but you

0:20:05.250 --> 0:20:07.369
<v Speaker 2>know how nuts those things are. Personally, I hate them

0:20:07.430 --> 0:20:09.670
<v Speaker 2>and I missed my chance, but maybe someday we'll meet.

0:20:10.070 --> 0:20:12.070
<v Speaker 2>In the meantime, keep doing what you're doing because you

0:20:12.090 --> 0:20:14.170
<v Speaker 2>do it so well. No matter how complex your world

0:20:14.210 --> 0:20:16.630
<v Speaker 2>may be, just know you're very special and touch people

0:20:16.650 --> 0:20:18.570
<v Speaker 2>in ways you don't even know. With love and respect,

0:20:18.609 --> 0:20:19.150
<v Speaker 2>Dolly Parton.

0:20:19.380 --> 0:20:20.120
<v Speaker 6>Wow.

0:20:21.520 --> 0:20:22.119
<v Speaker 2>Wow.

0:20:22.500 --> 0:20:25.840
<v Speaker 5>That's a beautiful soul. And, you know, it's funny. I

0:20:25.840 --> 0:20:31.900
<v Speaker 5>was thinking about this. As a girl from an Appalachian family,

0:20:31.900 --> 0:20:35.240
<v Speaker 5>12 people, 12 kids, mom and dad living in a

0:20:35.420 --> 0:20:37.680
<v Speaker 5>one-room cabin.

0:20:39.340 --> 0:20:42.300
<v Speaker 2>Whereas Marshall Mathers grew up on the outskirts of.

0:20:42.420 --> 0:20:44.880
<v Speaker 5>Crappy, depressed Detroit.

0:20:45.070 --> 0:20:48.770
<v Speaker 2>She knew they had something in common. You're right. I

0:20:48.810 --> 0:20:50.710
<v Speaker 2>never thought about it from that angle, but that's clearly true.

0:20:51.150 --> 0:20:53.310
<v Speaker 2>Dolly Parton and Eminem had more in common than my

0:20:53.369 --> 0:20:55.490
<v Speaker 2>son and Eminem. And my son sees himself as like

0:20:55.520 --> 0:20:58.100
<v Speaker 2>a rapper or those kind of people. But, you know,

0:20:58.720 --> 0:21:02.419
<v Speaker 2>growing up in poor, difficult times. Yeah, that's interesting. Eminem

0:21:02.480 --> 0:21:05.730
<v Speaker 2>is part of the soundtrack for all millennials. Just to

0:21:05.750 --> 0:21:08.250
<v Speaker 2>let you know. He was, like, huge for us. But

0:21:09.170 --> 0:21:12.429
<v Speaker 2>that particular Eminem thing there, there are so many of

0:21:12.490 --> 0:21:18.830
<v Speaker 2>those crossing every spectrum of the world and generations. And

0:21:19.010 --> 0:21:21.990
<v Speaker 2>it's just, it's amazing. Yeah, yeah.

0:21:22.369 --> 0:21:26.230
<v Speaker 7>People are making a fortune on TikTok imitating him. They

0:21:26.270 --> 0:21:28.710
<v Speaker 7>sound exactly like him. Like, if I close my eyes,

0:21:29.190 --> 0:21:32.100
<v Speaker 7>you couldn't tell the difference. They're just making a fortune

0:21:32.140 --> 0:21:32.820
<v Speaker 7>off of his voice.

0:21:33.760 --> 0:21:37.880
<v Speaker 2>That's interesting. I don't know what they're doing. Yeah, so, yeah.

0:21:38.200 --> 0:21:40.820
<v Speaker 5>Yeah, we were talking earlier and at fair length about

0:21:40.880 --> 0:21:46.060
<v Speaker 5>Dolly Parton and the universal affection for her and where

0:21:46.080 --> 0:21:47.840
<v Speaker 5>that came from and what it means and how it

0:21:47.859 --> 0:21:51.200
<v Speaker 5>ought to be studied at the university level or certainly

0:21:51.260 --> 0:21:55.720
<v Speaker 5>in churches and wherever humans gather and want to be decent.

0:21:57.080 --> 0:21:59.940
<v Speaker 2>One aspect that we learned a little bit about was

0:21:59.960 --> 0:22:02.740
<v Speaker 2>that last year when her husband died, nobody had ever

0:22:02.810 --> 0:22:05.850
<v Speaker 2>thought about or talked about really her husband the whole time.

0:22:06.230 --> 0:22:11.109
<v Speaker 2>He stayed in the background. They met at a laundromat

0:22:11.310 --> 0:22:13.250
<v Speaker 2>when I think she was still a teenager, and they

0:22:13.270 --> 0:22:19.310
<v Speaker 2>were together for 59 years. And that on its own

0:22:19.369 --> 0:22:22.970
<v Speaker 2>is such an interesting aspect of her story. Sure. Yeah. Yeah.

0:22:24.140 --> 0:22:30.400
<v Speaker 5>To be rich, famous, but kind, unassuming, funny, smart, but

0:22:30.460 --> 0:22:31.860
<v Speaker 5>not lord it over anybody.

0:22:31.900 --> 0:22:33.530
<v Speaker 2>Happily married for 60 years.

0:22:34.050 --> 0:22:34.350
<v Speaker 5>Yeah.

0:22:34.609 --> 0:22:37.250
<v Speaker 2>Those are not easy things to pull off. Well, I just,

0:22:37.970 --> 0:22:40.790
<v Speaker 2>this from Donna Brazile, because I'm talking about all the

0:22:40.990 --> 0:22:43.970
<v Speaker 2>different sorts of people that weighed in on this. Donna Brazile,

0:22:44.350 --> 0:22:48.070
<v Speaker 2>she was Al Gore's campaign manager. She's a big Democratic.

0:22:48.770 --> 0:22:52.629
<v Speaker 2>Pundit Dolly Parton spent decades quietly funding band uniforms and

0:22:52.690 --> 0:22:55.550
<v Speaker 2>instruments at black high schools across the South. Never once

0:22:55.630 --> 0:22:58.310
<v Speaker 2>putting her name on it. No headlines, no fanfare, just

0:22:58.350 --> 0:23:01.770
<v Speaker 2>help given because it was needed. That's the whole, you know,

0:23:01.810 --> 0:23:04.600
<v Speaker 2>it's only really altruistic. If you don't, if nobody knows

0:23:04.619 --> 0:23:07.500
<v Speaker 2>you did it sort of thing. Um, a lot of

0:23:07.540 --> 0:23:09.379
<v Speaker 2>people not into that want to have their name on

0:23:10.160 --> 0:23:12.580
<v Speaker 2>the school or band uniform, or there needs to be

0:23:12.619 --> 0:23:15.760
<v Speaker 2>a big, uh, gathering of local TV stations. Whenever you

0:23:15.780 --> 0:23:16.580
<v Speaker 2>give the check or whatever.

0:23:18.840 --> 0:23:22.660
<v Speaker 5>Yes, there are people who are really, really into that,

0:23:22.680 --> 0:23:26.230
<v Speaker 5>and that's the only reason they do anything charitable. I'll

0:23:26.250 --> 0:23:30.630
<v Speaker 5>just end my comments there. So, good for Dolly, a

0:23:30.869 --> 0:23:34.109
<v Speaker 5>saint among us. I don't want to rush through this,

0:23:34.530 --> 0:23:36.110
<v Speaker 5>but this is kind of the other side of the coin,

0:23:36.150 --> 0:23:37.950
<v Speaker 5>and maybe we can continue on the other side of

0:23:38.070 --> 0:23:40.010
<v Speaker 5>a very brief break.

0:23:40.310 --> 0:23:42.129
<v Speaker 2>You saying she was a saint, one thing I was

0:23:42.150 --> 0:23:43.639
<v Speaker 2>going to look into last night, and I never got

0:23:43.660 --> 0:23:47.340
<v Speaker 2>around to grokking, was she a religious person?

0:23:48.710 --> 0:23:48.950
<v Speaker 7>Yes.

0:23:49.230 --> 0:23:52.510
<v Speaker 2>Oh, yeah. She was a validly Christian. Yeah. But, like,

0:23:52.550 --> 0:23:55.229
<v Speaker 2>goes to church every Sunday sort of Christian? No idea. No,

0:23:55.270 --> 0:23:57.080
<v Speaker 2>I was going to look into that. I'd just be interested.

0:23:57.650 --> 0:23:59.359
<v Speaker 5>Yeah, I'm not sure. How would it be if Dolly

0:23:59.380 --> 0:24:01.000
<v Speaker 5>went to church every Sunday? Well, if she went to

0:24:01.040 --> 0:24:02.260
<v Speaker 5>the same place, I don't know.

0:24:02.280 --> 0:24:03.820
<v Speaker 2>Interesting. You wouldn't want to sit behind her in the pew.

0:24:03.840 --> 0:24:05.940
<v Speaker 2>You ain't going to see a thing. No, no, because

0:24:05.960 --> 0:24:10.060
<v Speaker 2>her wig, big old wig. Anyway, where were we? I

0:24:10.100 --> 0:24:12.930
<v Speaker 2>had something interesting to say. I'm certain of it. It's

0:24:12.970 --> 0:24:13.350
<v Speaker 2>gone now.

0:24:14.859 --> 0:24:17.600
<v Speaker 5>Word instead from our friends at Blue Collar Dollars, they understand.

0:24:17.640 --> 0:24:20.010
<v Speaker 5>Sort of thing, I'm tying Dolly Parton into everything. I

0:24:20.030 --> 0:24:21.649
<v Speaker 5>was going to, but go ahead.

0:24:21.770 --> 0:24:24.429
<v Speaker 2>Okay. Go ahead. Well, you might have a better idea.

0:24:24.510 --> 0:24:26.930
<v Speaker 2>You had thought of it already. I doubt it. No, no,

0:24:26.990 --> 0:24:29.790
<v Speaker 2>I was right just off the cuff. I was going

0:24:29.810 --> 0:24:32.490
<v Speaker 2>to say, Blue Collar Dollars, definitely the sort of people

0:24:32.590 --> 0:24:35.960
<v Speaker 2>that Dolly Parton came from. People that get up early

0:24:36.000 --> 0:24:40.020
<v Speaker 2>and work hard all day long. and oftentimes think that

0:24:40.060 --> 0:24:42.720
<v Speaker 2>the whole financial world, investment world, all that sort of

0:24:42.740 --> 0:24:43.680
<v Speaker 2>stuff is not for them.

0:24:43.700 --> 0:24:46.869
<v Speaker 5>Well, Blue Collar Dollar is for you. Kind of the

0:24:47.050 --> 0:24:51.550
<v Speaker 5>opposite of snooty academics. If you've saved $ 500, 000 or more,

0:24:51.590 --> 0:24:53.409
<v Speaker 5>we invite you to call Blue Collar Dollar for a

0:24:53.490 --> 0:24:56.139
<v Speaker 5>no-cost consultation. There's no obligation. If you don't like what

0:24:56.160 --> 0:24:58.400
<v Speaker 5>you hear, no harm done. But these are folks who

0:24:58.420 --> 0:25:00.060
<v Speaker 5>get you and your lifestyle and your priorities.

0:25:00.750 --> 0:25:04.050
<v Speaker 2>Building a place where hardworking people can share the values

0:25:04.090 --> 0:25:07.230
<v Speaker 2>you have, financial sort of dreams you have, with advisors

0:25:07.270 --> 0:25:08.830
<v Speaker 2>who talk with you, never at you.

0:25:09.420 --> 0:25:11.639
<v Speaker 5>From your mobile phone, dial pound 250. And when prompted,

0:25:11.660 --> 0:25:13.320
<v Speaker 5>say the keywords blue-collar dollar.

0:25:13.340 --> 0:25:16.240
<v Speaker 2>Simple as that. Dial pound 250. Say blue-collar dollar. Here's

0:25:16.290 --> 0:25:19.490
<v Speaker 2>the fun part. Advisory services offered through Talon LLC, a

0:25:19.730 --> 0:25:23.170
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0:25:23.210 --> 0:25:26.470
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0:25:26.510 --> 0:25:28.230
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0:25:28.250 --> 0:25:30.619
<v Speaker 2>more important disclosures, visit bluecollardollar.com.

0:25:31.950 --> 0:25:38.480
<v Speaker 5>So on the other side of the coin of the lovely, wonderful, open-hearted, kind,

0:25:38.680 --> 0:25:44.010
<v Speaker 5>unassuming Dolly Parton, you have our cynical time where no

0:25:44.090 --> 0:25:48.130
<v Speaker 5>one trusts, for instance, data centers and flock cameras.

0:25:48.630 --> 0:25:50.449
<v Speaker 2>Those are two of the big.

0:25:50.170 --> 0:25:55.570
<v Speaker 5>Kind of hot points. in local politics in America. And

0:25:55.590 --> 0:25:57.409
<v Speaker 5>of course, you know, if it gets enough attention and

0:25:57.470 --> 0:26:01.330
<v Speaker 5>happen enough localities, it becomes our national politics. But why

0:26:01.410 --> 0:26:04.970
<v Speaker 5>no one trusts data centers and flock cameras? Interesting thoughts

0:26:05.250 --> 0:26:05.650
<v Speaker 5>on that.

0:26:06.950 --> 0:26:13.220
<v Speaker 2>And it's a bit of a problem. If we decide

0:26:13.280 --> 0:26:17.459
<v Speaker 2>to let China build all the data centers and get

0:26:17.520 --> 0:26:20.010
<v Speaker 2>the head start on AI because we're scared of them

0:26:20.070 --> 0:26:24.470
<v Speaker 2>for all these different reasons. Right, right, yeah. Do we

0:26:24.490 --> 0:26:26.169
<v Speaker 2>know what Dolly Parton thought at data centers?

0:26:27.470 --> 0:26:28.930
<v Speaker 5>I don't believe she went on the record.

0:26:29.530 --> 0:26:33.609
<v Speaker 2>Too smart. Are we supposed to take a break or

0:26:33.650 --> 0:26:36.010
<v Speaker 2>transition to something else, or what are we supposed to do?

0:26:36.119 --> 0:26:38.800
<v Speaker 2>I wasn't paying attention.

0:26:38.920 --> 0:26:41.660
<v Speaker 5>Well, yeah, I was going to say let's talk about

0:26:41.700 --> 0:26:43.340
<v Speaker 5>the lack of trust on the other side of the

0:26:43.359 --> 0:26:44.689
<v Speaker 5>break because I don't want to rush through it.

0:26:44.700 --> 0:26:48.530
<v Speaker 2>Okay, cool. We do need to get to a little

0:26:48.570 --> 0:26:50.990
<v Speaker 2>bit more of the trade war with Canada that is

0:26:51.450 --> 0:26:54.790
<v Speaker 2>roiling hockey stick manufacturers. Oh, good Lord.

0:26:54.810 --> 0:26:55.230
<v Speaker 7>I know.

0:26:56.150 --> 0:27:04.350
<v Speaker 2>Stay tuned for that. Armstrong and Getty. Tweet it out,

0:27:04.630 --> 0:27:08.820
<v Speaker 2>and we'll post at armstrongandgettyknot.com the videos that are coming

0:27:08.910 --> 0:27:12.660
<v Speaker 2>out from the mudslide in Nepal today, which is the

0:27:13.140 --> 0:27:16.040
<v Speaker 2>most amazing thing I think I've ever seen. It's the

0:27:16.100 --> 0:27:18.240
<v Speaker 2>worst video I've ever seen. It's horrific.

0:27:19.359 --> 0:27:22.700
<v Speaker 5>It was like a bomb went off as an overused descriptor.

0:27:22.859 --> 0:27:26.050
<v Speaker 5>It was like an atomic bomb went off. The destruction

0:27:26.090 --> 0:27:29.630
<v Speaker 5>was complete and, well, complete.

0:27:30.410 --> 0:27:32.409
<v Speaker 2>And all the people that are there at the beginning

0:27:32.430 --> 0:27:33.889
<v Speaker 2>of the video are not there at the end of

0:27:33.930 --> 0:27:37.880
<v Speaker 2>the video. As eerie as this is, it reminded me

0:27:37.930 --> 0:27:41.239
<v Speaker 2>of the Twin Towers falling. That sort of thing, yeah.

0:27:41.260 --> 0:27:44.280
<v Speaker 2>That boom just went up and everybody disappeared. Anyway. That's

0:27:44.320 --> 0:27:46.720
<v Speaker 2>what this is. We'll have them at armstrongandgetty.com.

0:27:47.560 --> 0:27:52.510
<v Speaker 5>So as discussed previously, in contrast to the whole Dolly

0:27:52.590 --> 0:27:56.170
<v Speaker 5>Parton aesthetic, you've got an incredible lack of trust in America,

0:27:56.250 --> 0:27:59.070
<v Speaker 5>whether it's the government in general, data centers, flock cameras.

0:28:00.070 --> 0:28:03.770
<v Speaker 5>People are very, very cynical. And Eric Erickson, who is

0:28:03.869 --> 0:28:06.629
<v Speaker 5>a colleague in the radio industry, wrote a piece that

0:28:07.060 --> 0:28:11.200
<v Speaker 5>the Free Press published that is certainly ground that we

0:28:11.240 --> 0:28:13.379
<v Speaker 5>have plowed around here, but I think he sums it

0:28:13.420 --> 0:28:17.399
<v Speaker 5>up very well. The same government that used pandemic powers

0:28:17.460 --> 0:28:20.980
<v Speaker 5>to shutter churches and businesses now wants surveillance cameras on

0:28:21.040 --> 0:28:24.600
<v Speaker 5>street corners and data centers and backyards. You can't blame

0:28:24.680 --> 0:28:28.500
<v Speaker 5>people for saying no. And as he goes through it,

0:28:29.730 --> 0:28:32.270
<v Speaker 5>I think, you know, and this seems crazy to me

0:28:32.390 --> 0:28:34.690
<v Speaker 5>to even say this out loud, I think I had

0:28:34.850 --> 0:28:40.360
<v Speaker 5>let my sense of outrage at the abuses of government

0:28:40.390 --> 0:28:45.040
<v Speaker 5>during COVID kind of, the edges have gotten worn off,

0:28:45.100 --> 0:28:48.660
<v Speaker 5>and I kind of feel myself moving on. But psychologically,

0:28:48.720 --> 0:28:52.040
<v Speaker 5>and anybody who's ever dealt with psychological trauma knows, even

0:28:52.080 --> 0:28:54.740
<v Speaker 5>if you don't think about it every day, it's still

0:28:54.840 --> 0:28:57.860
<v Speaker 5>in there. And he makes the point that in April

0:28:57.890 --> 0:29:01.660
<v Speaker 5>of 2020, San Clemente, California dumped 37 tons of sand

0:29:01.700 --> 0:29:04.170
<v Speaker 5>into a skate park to keep teenagers out of it.

0:29:04.400 --> 0:29:07.770
<v Speaker 2>That's so insane. That actually happened? That actually happened. And

0:29:07.790 --> 0:29:13.340
<v Speaker 2>other California cities followed suit. Yeah. God, that's so freaking crazy.

0:29:13.920 --> 0:29:16.740
<v Speaker 5>Up the coast, sheriff's deputies arrested a man for paddleboarding

0:29:16.780 --> 0:29:20.580
<v Speaker 5>by himself in the Pacific Ocean. Cities unbolted basketball rims.

0:29:20.660 --> 0:29:23.480
<v Speaker 5>The mayor of L.A. told people that snitches get rewards.

0:29:23.960 --> 0:29:26.480
<v Speaker 5>And God help us, people snitched, calling the tip lines

0:29:26.580 --> 0:29:29.750
<v Speaker 5>on the neighbors whose grandkids came over. Months later, Gavin

0:29:29.770 --> 0:29:33.230
<v Speaker 5>Newsom violated his own COVID-19 protocols and enjoyed a nice

0:29:33.270 --> 0:29:34.370
<v Speaker 5>dinner at the French Laundry.

0:29:34.510 --> 0:29:37.290
<v Speaker 2>Well, I lived with a park behind me, and they

0:29:37.330 --> 0:29:41.700
<v Speaker 2>had yellow crime tape around the playground. equipment. Yes, it

0:29:41.740 --> 0:29:45.470
<v Speaker 2>was like it was the 1500s. There's disease around. Be

0:29:45.570 --> 0:29:48.450
<v Speaker 2>sure you stay inside. Wow.

0:29:48.690 --> 0:29:51.950
<v Speaker 5>The sand, the arrest, the missing basketball rims, the rewarded snitches,

0:29:52.030 --> 0:29:55.890
<v Speaker 5>and the elite hypocrisy explain a lot about where we

0:29:55.950 --> 0:29:58.450
<v Speaker 5>are as a nation, including things that look like they

0:29:58.490 --> 0:30:01.219
<v Speaker 5>have nothing to do with COVID, like data centers and

0:30:01.380 --> 0:30:04.560
<v Speaker 5>flock cameras. In March of 2020, Americans did as they

0:30:04.580 --> 0:30:08.920
<v Speaker 5>were told. People closed businesses, local governments closed schools, families

0:30:08.980 --> 0:30:12.300
<v Speaker 5>canceled funerals. They waited for instructions from their elected leaders

0:30:12.340 --> 0:30:15.100
<v Speaker 5>and public health officials because those officials said we needed

0:30:15.140 --> 0:30:18.830
<v Speaker 5>two weeks to stop the spread. People generally trusted their institutions.

0:30:19.170 --> 0:30:22.650
<v Speaker 5>Civic trust is a limited resource in a free nation.

0:30:23.030 --> 0:30:26.650
<v Speaker 5>The press, politicians, bureaucrats, experts, and elite violated that trust

0:30:27.010 --> 0:30:30.050
<v Speaker 5>until it was gone. The virus came, the data came,

0:30:30.310 --> 0:30:32.970
<v Speaker 5>the virus mutated, the data changed, and the people in

0:30:33.030 --> 0:30:36.060
<v Speaker 5>charge did not. We won't go on at too much length,

0:30:36.130 --> 0:30:39.340
<v Speaker 5>but we knew early on that children were not meaningful

0:30:39.380 --> 0:30:43.000
<v Speaker 5>vectors for spread. The bureaucrats, the politicians, and above all

0:30:43.040 --> 0:30:46.600
<v Speaker 5>the teachers' unions kept the schoolhouse doors closed anyway. Parents

0:30:46.670 --> 0:30:48.940
<v Speaker 5>forced to be home with their kids saw how atrocious

0:30:49.000 --> 0:30:52.200
<v Speaker 5>our public education has become, and students, after being shut

0:30:52.240 --> 0:30:56.680
<v Speaker 5>out of schools, actually regressed. Masks clearly were not stopping

0:30:56.700 --> 0:30:59.860
<v Speaker 5>the virus, but the army of mentally deranged progressive women

0:31:00.200 --> 0:31:03.400
<v Speaker 5>harassing people for not wearing masks not only did not stop,

0:31:03.760 --> 0:31:06.600
<v Speaker 5>but has morphed today into a virtue signal and a

0:31:06.640 --> 0:31:09.530
<v Speaker 5>public sign of inward mental health issues. Get on a

0:31:09.590 --> 0:31:12.430
<v Speaker 5>plane to any progressive enclave, and you'll notice a pattern

0:31:12.510 --> 0:31:14.230
<v Speaker 5>in who still wears masks.

0:31:14.250 --> 0:31:14.320
<v Speaker 7>Hmm.

0:31:15.030 --> 0:31:16.990
<v Speaker 2>That's absolutely true. I see that every time I'm in

0:31:17.030 --> 0:31:17.570
<v Speaker 2>the airport.

0:31:18.870 --> 0:31:22.130
<v Speaker 5>And then we knew early on that COVID spread indoors,

0:31:22.190 --> 0:31:24.890
<v Speaker 5>not outdoors, but California went right on filling in the

0:31:25.150 --> 0:31:28.620
<v Speaker 5>skate parks. When Brian Kemp reopened Georgia, the governor there,

0:31:28.860 --> 0:31:32.480
<v Speaker 5>the Atlantic ran a story calling it, quote, an experiment

0:31:32.540 --> 0:31:35.560
<v Speaker 5>in human sacrifice. The president attacked him.

0:31:35.840 --> 0:31:36.100
<v Speaker 2>Dr.

0:31:36.180 --> 0:31:39.830
<v Speaker 5>Anthony Fauci attacked him. Stacey Abrams attacked him. And Georgia

0:31:39.870 --> 0:31:45.450
<v Speaker 5>recovered first among states. And he goes through the whole

0:31:45.510 --> 0:31:47.310
<v Speaker 5>thing again, which I think is worth going over. We

0:31:47.330 --> 0:31:50.780
<v Speaker 5>ought to have like, you know, in the Jewish religion,

0:31:50.840 --> 0:31:55.600
<v Speaker 5>they have a number of quote-unquote holidays, holy days, including,

0:31:55.800 --> 0:31:57.260
<v Speaker 5>you know, and I'm not an expert.

0:31:57.360 --> 0:31:58.740
<v Speaker 2>I always forget the names of them.

0:31:58.840 --> 0:32:01.380
<v Speaker 5>But, you know, a day of atonement, a day to

0:32:01.460 --> 0:32:04.940
<v Speaker 5>think about your sins and atone for them. Because going

0:32:04.960 --> 0:32:07.980
<v Speaker 5>la-la-la-la-la-la past your own sins is not the way to

0:32:08.000 --> 0:32:09.920
<v Speaker 5>get right with God. I think it's a great idea.

0:32:10.670 --> 0:32:14.090
<v Speaker 5>We ought to have an annual day of reckoning about COVID.

0:32:17.900 --> 0:32:21.780
<v Speaker 5>Not to mention the lies about the vaccine, which absolutely

0:32:22.260 --> 0:32:25.910
<v Speaker 5>reduced the incidence of fatality and severe illness.

0:32:25.910 --> 0:32:30.870
<v Speaker 2>100% it did. Well, not 100%. We're literally talking about statistics, Joe.

0:32:30.910 --> 0:32:31.390
<v Speaker 2>You can't say 100%.

0:32:31.390 --> 0:32:31.460
<v Speaker 1>But.

0:32:33.770 --> 0:32:36.610
<v Speaker 5>The idea that it would stop the spread and people

0:32:36.650 --> 0:32:40.610
<v Speaker 5>should be fired or barred from the military or punished

0:32:40.690 --> 0:32:45.470
<v Speaker 5>or demonized for not getting it was absurd. And even

0:32:45.520 --> 0:32:47.760
<v Speaker 5>when that became clear, they continued to insist that it

0:32:47.800 --> 0:32:53.340
<v Speaker 5>was true. The psychological trauma of the betrayed trust remains.

0:32:54.520 --> 0:32:58.320
<v Speaker 5>And so you tie that into the data center rejection?

0:32:58.340 --> 0:33:00.459
<v Speaker 2>Yeah, yeah.

0:33:00.540 --> 0:33:05.350
<v Speaker 5>Actually, that's... That was the point that Eric was making,

0:33:06.230 --> 0:33:11.130
<v Speaker 5>that you've got a couple of things that are clearly

0:33:12.870 --> 0:33:16.540
<v Speaker 5>either dangerous or threatening. They represent, in the case of

0:33:16.560 --> 0:33:20.640
<v Speaker 5>the data centers, the AI uncertainty, which could be devastating.

0:33:20.660 --> 0:33:23.740
<v Speaker 5>It could be like that damn mudslide in Nepal to

0:33:23.780 --> 0:33:26.720
<v Speaker 5>the economy. People are really concerned about it, both on

0:33:26.770 --> 0:33:30.090
<v Speaker 5>a personal and societal level. And we're being told, no, no,

0:33:30.130 --> 0:33:33.430
<v Speaker 5>we got this, trust us. And the data centers, they're big,

0:33:33.490 --> 0:33:35.630
<v Speaker 5>they're ugly, they're.

0:33:35.520 --> 0:33:37.760
<v Speaker 2>A symbol of AI. So people are freaked out.

0:33:38.080 --> 0:33:42.580
<v Speaker 5>The flock camera thing, there would be distrust of that

0:33:42.640 --> 0:33:46.820
<v Speaker 5>because it's establishing something close to a surveillance state. But

0:33:47.060 --> 0:33:50.020
<v Speaker 5>Eric's point again is that when the authorities, and look,

0:33:50.060 --> 0:33:56.320
<v Speaker 5>we're pro-law enforcement around here, and certainly anti-law enforcement. But

0:33:56.400 --> 0:33:59.420
<v Speaker 5>when I'm told, no, don't worry, we'll make sure this

0:33:59.500 --> 0:34:02.320
<v Speaker 5>isn't abused. Nobody will look at the surveillance. It won't

0:34:02.360 --> 0:34:05.360
<v Speaker 5>turn into a surveillance state. This is merely for emergencies

0:34:05.420 --> 0:34:08.300
<v Speaker 5>and crimes and that sort of thing. I think, yeah, bull-ass.

0:34:09.620 --> 0:34:13.940
<v Speaker 2>Yeah, I have a real problem with that one. I

0:34:14.400 --> 0:34:19.620
<v Speaker 2>was talking to Anastasia Bowden, the lawyer from Pacific Legal Foundation,

0:34:19.660 --> 0:34:23.480
<v Speaker 2>about that Friday after you left. Her piece, their piece was...

0:34:24.060 --> 0:34:26.490
<v Speaker 2>You know, we're not completely against these. Then they help

0:34:26.510 --> 0:34:28.950
<v Speaker 2>stop crimes. I hate that argument, as I told her.

0:34:29.090 --> 0:34:31.930
<v Speaker 2>I hate that argument. We could end crime today if

0:34:31.969 --> 0:34:34.510
<v Speaker 2>we wanted to. We could put cameras everywhere and end crime.

0:34:34.550 --> 0:34:36.730
<v Speaker 2>So the fact that it solves crimes is not an

0:34:36.790 --> 0:34:39.370
<v Speaker 2>argument to me. Right, right, yeah.

0:34:40.130 --> 0:34:44.190
<v Speaker 5>It's definitely one of the arguments in society, though. And

0:34:44.489 --> 0:34:46.770
<v Speaker 5>Eric actually makes the point that he's for the data centers.

0:34:46.810 --> 0:34:49.090
<v Speaker 5>We need the computing power. If we don't get it,

0:34:49.110 --> 0:34:51.170
<v Speaker 5>China will get it, and that would be terrible. And

0:34:51.190 --> 0:34:53.910
<v Speaker 5>he says, I'm for the flock cameras with reasonable restrictions.

0:34:54.370 --> 0:34:57.150
<v Speaker 5>Many municipalities are short of police officers. Our police are

0:34:57.190 --> 0:35:00.339
<v Speaker 5>stretched thin. Our population is in decline. Fewer people want

0:35:00.360 --> 0:35:03.660
<v Speaker 5>to become cops. We need supplementation. But support does not

0:35:03.680 --> 0:35:05.140
<v Speaker 5>mean without boundaries and limits.

0:35:05.200 --> 0:35:05.719
<v Speaker 2>We need both.

0:35:05.760 --> 0:35:08.780
<v Speaker 5>But the cameras, I believe, do more good than harm.

0:35:09.100 --> 0:35:10.239
<v Speaker 5>I know you disagree with him.

0:35:10.540 --> 0:35:12.399
<v Speaker 2>I do. Over time, I think I will be right.

0:35:12.620 --> 0:35:14.080
<v Speaker 2>I hope I live long enough to be shown to

0:35:14.120 --> 0:35:15.839
<v Speaker 2>be right. I'd rather be wrong, but I think I'm right.

0:35:16.350 --> 0:35:18.750
<v Speaker 5>He goes into a little detail about why he supports

0:35:18.770 --> 0:35:21.390
<v Speaker 5>these two things with restrictions, but he says, I cannot

0:35:21.450 --> 0:35:22.970
<v Speaker 5>blame my neighbors for disagreeing with me.

0:35:23.260 --> 0:35:24.200
<v Speaker 2>How on earth could I?

0:35:24.200 --> 0:35:27.280
<v Speaker 5>We're only five years removed from the police arresting solo

0:35:27.360 --> 0:35:30.440
<v Speaker 5>joggers and the government using police power to shutter churches

0:35:30.500 --> 0:35:33.640
<v Speaker 5>and small businesses. We witnessed the government use a surveillance

0:35:33.660 --> 0:35:36.030
<v Speaker 5>state to lock people in their homes. We saw private

0:35:36.070 --> 0:35:38.870
<v Speaker 5>businesses figure out that they could profit from the police state.

0:35:40.630 --> 0:35:43.310
<v Speaker 5>And the difference between fracking, oh, he compares data centers

0:35:43.330 --> 0:35:45.280
<v Speaker 5>to fracking, and that's a great comparison.

0:35:45.300 --> 0:35:46.200
<v Speaker 2>It absolutely is.

0:35:46.680 --> 0:35:50.980
<v Speaker 5>The scare campaign against fracking. The difference between fracking and

0:35:51.000 --> 0:35:52.819
<v Speaker 5>the data center was never the facts. It was the

0:35:52.900 --> 0:35:56.280
<v Speaker 5>messengers and their technology. The oilmen lived in the community.

0:35:56.340 --> 0:35:58.250
<v Speaker 5>They sat in the pews at the local church, sent

0:35:58.290 --> 0:35:58.870
<v Speaker 5>their kids to the.

0:35:58.830 --> 0:36:00.129
<v Speaker 2>Local schools, etc., etc.

0:36:00.510 --> 0:36:03.989
<v Speaker 5>The AI executives are coastal creeps accountable to nobody, and

0:36:04.010 --> 0:36:07.430
<v Speaker 5>the local government courting them, sign nondisclosure agreements, do the

0:36:07.469 --> 0:36:10.160
<v Speaker 5>whole thing behind closed doors. When you negotiate in secret

0:36:10.180 --> 0:36:12.440
<v Speaker 5>with people who tell you they might enslave you or

0:36:12.480 --> 0:36:14.520
<v Speaker 5>at a minimum take your job and that of your child,

0:36:14.540 --> 0:36:16.680
<v Speaker 5>you have earned every bit of suspicion you get.

0:36:21.100 --> 0:36:25.370
<v Speaker 2>Will we build data centers or let China get this

0:36:25.430 --> 0:36:28.739
<v Speaker 2>technology and be the leader in it? That's a big question. God,

0:36:28.780 --> 0:36:29.540
<v Speaker 2>we're in a rough spot.