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. Jack Armstrong and Joe Getty. Armstrong

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<v Speaker 1>and Getty.

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<v Speaker 2>And now, here's Armstrong and Getty.

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<v Speaker 3>I think that the California high-speed rail nightmare is the

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<v Speaker 3>quintessential example of.

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<v Speaker 2>Government waste and mismanagement.

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<v Speaker 1>You say this needs to stop.

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<v Speaker 2>It needs to stop.

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<v Speaker 3>Congressman Vince Fong, a Republican from Bakersfield, sits on the

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<v Speaker 3>House Transportation Committee. He says that when California voters first

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<v Speaker 3>approved high-speed rail, the promise and price tag were more

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<v Speaker 3>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. There'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 4>I call it the greatest government theft of taxpayer money

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<v Speaker 4>in American history. And, you know, it's, it's certainly in

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<v Speaker 4>your top few. I think it's worth reviewing the numbers

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<v Speaker 4>very briefly. It is almost hilarious. So about 18 years ago,

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<v Speaker 4>Californians narrowly passed. Well, it was about four and a

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<v Speaker 4>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 4>Um, to have a bullet train that would travel between

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<v Speaker 4>San Francisco and L.A.

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

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<v Speaker 4>Legislative bill said it should be completed by six years ago,

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<v Speaker 4>as we speak these words in 2020.

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<v Speaker 2>Completed by six years ago? Completed. A bullet train from

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

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<v Speaker 4>And the California High Speed Rail Authority's initial business plan

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<v Speaker 4>says estimated a cost of $ 33 billion. Oh, I forgot

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<v Speaker 4>the lead of this Wall Street Journal article. Some 18

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<v Speaker 4>years after California voted to launch a bullet train that

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<v Speaker 4>would travel between San Francisco and L.A. in under three hours,

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<v Speaker 4>the project now costs billions more than planned. Hundreds of

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<v Speaker 4>billions more than planned. Wall Street Journal, to it, the numbers.

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<v Speaker 2>By the way, we're throwing in for people if you

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<v Speaker 2>don't live in California, because a lot of you are

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<v Speaker 2>listening around the country. We all know this in California.

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<v Speaker 2>It's a 50-minute flight between San Francisco and Los Angeles,

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<v Speaker 2>and it ain't real expensive, and they have them every

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<v Speaker 2>hour all day long.

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<v Speaker 4>Cost you less than a nice dinner with a bottle

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<v Speaker 4>of wine, please. A decent dinner with a bad bottle

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<v Speaker 4>of wine, as a matter of fact. Anyway, yeah, how

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<v Speaker 4>many flights are there just between San Francisco and L.A.

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<v Speaker 4>every day on Southwest Airlines?

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<v Speaker 2>Like 50?

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<v Speaker 4>50?

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

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<v Speaker 4>If you include like Burbank and not to get overly

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<v Speaker 4>local about it, but San Jose, yeah, it's insane.

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<v Speaker 2>Anyway, let's see.

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<v Speaker 4>So done by 2020, done at a cost of $ 33 billion.

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<v Speaker 4>After years of legal battles, cost overruns, leadership changes, and

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<v Speaker 4>political fights, none of that has anything to do with this.

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<v Speaker 4>The price tag is up to $ 126 billion, bare minimum,

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<v Speaker 4>with a high estimate of $ 231 billion and isn't expected

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<v Speaker 4>to be fully operational until 2040 and isn't going to

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<v Speaker 4>get anywhere close to L.A.

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<v Speaker 2>Or San Francisco.

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<v Speaker 4>You're going to have to take like a three and

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<v Speaker 4>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 LA.

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<v Speaker 4>Said Democratic State Senator Catherine Blakespear at a transportation committee

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<v Speaker 4>meeting in April.

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

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<v Speaker 4>I'm such an enthusiast for rail and I really wanted

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<v Speaker 4>this to be a successful and just hearing these things

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<v Speaker 4>make it seem like we're proceeding on a wing and

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<v Speaker 4>a prayer.

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<v Speaker 2>I know when I was going around England, I thought

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

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<v Speaker 2>I was in England. I went everywhere by train and

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

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<v Speaker 2>they were cheap and easy and But for a variety

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<v Speaker 2>of reasons, we can't and haven't done that here in

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<v Speaker 2>the United States. But that wasn't high-speed rail. That was

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

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

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<v Speaker 2>the 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. Yeah, yeah. So,

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

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<v Speaker 4>Also, part of the original plan said that private money

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<v Speaker 4>would do most of the heavy lifting. But the initial

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<v Speaker 4>plan included, and I remember we were talking about this

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<v Speaker 4>at the time, and a lot of this most people

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<v Speaker 4>didn't hear about because most voters don't know what they're

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<v Speaker 4>voting about. But the estimates for the ridership and the

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<v Speaker 4>ticket prices and every single number in the formula, every

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<v Speaker 4>single one was updated.

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

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<v Speaker 2>Shouldn't you be charged with fraud or something?

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<v Speaker 4>It's not fraud if the government does it. And there

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<v Speaker 4>have been all sorts of trials and cases and petitions

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<v Speaker 4>to end the thing, just to end it. And I've

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<v Speaker 4>been calling it a vampire now for like 15 years.

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<v Speaker 2>It can't be killed. Here's a little more from the

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<v Speaker 2>60 Minutes piece on trying to complete this dang thing.

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<v Speaker 3>Back in California, the rail authority insists state funds can

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<v Speaker 3>cover the cost of the Central Valley leg.

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<v Speaker 2>As for the rest.

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<v Speaker 3>Just to be clear, as we speak right now, are

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<v Speaker 3>the funds there to complete L.A.

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<v Speaker 2>To San Francisco? The entire amount of money we need,

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<v Speaker 2>not there today. But do we believe we can get

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<v Speaker 2>those funds to get the project done? Absolutely. We believe

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<v Speaker 2>we can milk more taxpayers for millions of more dollars.

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<v Speaker 2>Basically stealing from them, basically the same as knocking them

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<v Speaker 2>down on the sidewalk and reaching into their pocket theft because,

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<v Speaker 2>you know, it's freaking theft.

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<v Speaker 4>I don't know.

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<v Speaker 2>Do I just have do you have abnormal moral compasses

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<v Speaker 2>or consciences? How does so many people rip people off

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<v Speaker 2>and sleep at night? How do you how are there?

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<v Speaker 2>So how many people must be involved in this? Thousands

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

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

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<v Speaker 2>and be OK with it?

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<v Speaker 4>You just see the scam all around them, and that's

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<v Speaker 4>the scam is how you work it. It's like being

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<v Speaker 4>in the Soviet Union or something like that. Scamming the

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<v Speaker 4>government's the only way to get ahead. And the politicians,

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<v Speaker 4>they understand that the people, the unions, the towns, whatever,

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<v Speaker 4>that are depending on this flow of money will always, always,

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<v Speaker 4>always vote Democrat. because the Democrats will keep the money flowing.

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<v Speaker 4>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 4>I think what's at the heart of the answer to

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<v Speaker 4>your question is that Most people, and I've learned this

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<v Speaker 4>slowly but surely, most people are way better at rationalizing

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<v Speaker 4>away reality than you think they are. These people think

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<v Speaker 4>it's a great project. It's going to be built. There's

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<v Speaker 4>just been a hiccup or two because the money's flowing

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<v Speaker 4>into their pockets. A lot of otherwise decent people convince

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<v Speaker 4>themselves that what they're doing is not wrong.

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<v Speaker 2>Because then they can sleep at night.

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<v Speaker 4>Certain ones of us, we bump up against our conscience

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<v Speaker 4>and our grasp of reality, and we can't do that.

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<v Speaker 4>But these people can do that, and they're good at it.

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<v Speaker 4>One more couple of numbers. The initial section now. between Bakersfield, California,

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<v Speaker 4>and Merced, California. And for what it's worth, if you're

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<v Speaker 4>not familiar with the topography, I mean, Bakersfield is a

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<v Speaker 4>mountain range and a long drive away from Los Angeles.

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<v Speaker 4>And Merced is so far away from San Francisco, it's

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<v Speaker 4>not even like an exurb. It's like a different region.

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<v Speaker 4>So the Merced to Bakersfield... will be done in 2023,

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<v Speaker 4>they say, and will cost 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 1>2033.

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<v Speaker 2>Oh, okay. 2033 and cost $ 36 billion. Okay. So here's

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<v Speaker 2>the answer. How much will it cost to finish the

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<v Speaker 2>part that gets it LA to San Francisco? This is

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<v Speaker 2>from 60 Minutes.

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<v Speaker 3>How much do you estimate it's going to cost to

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<v Speaker 3>connect high-speed rail San Francisco to LA?

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<v Speaker 5>Today, we estimate, with the right optimization, just over $ 125 billion.

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<v Speaker 5>I think $ 126 billion is the current estimate for that.

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<v Speaker 3>That's more funding than Amtrak has received in its history

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<v Speaker 3>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 5>It is a big gap to fill, but again, we

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<v Speaker 5>have an understanding of how to get there and to

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<v Speaker 5>fill that gap.

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<v Speaker 3>A gap the authority hopes to fill with a new

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<v Speaker 3>plan to cut costs, lure private investment, and connect to

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<v Speaker 3>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.

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<v Speaker 4>Wow, that's a stat. And don't let that last quote

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<v Speaker 4>go by you too quickly. It's a gap that the

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<v Speaker 4>real authority plans to, you know, bridge through lowering costs.

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<v Speaker 1>Oh, good.

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

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<v Speaker 4>I'm going to lower the costs of my mortgage. In

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<v Speaker 4>my car, I'm going to lower the cost of the

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<v Speaker 4>food I buy at the grocery store. How are you

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<v Speaker 4>going to do that exactly? Anyway, we'll put that aside.

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<v Speaker 4>Maybe they can buy in bulk and get a discount

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<v Speaker 4>and attract private investment.

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<v Speaker 1>To what?

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<v Speaker 2>An asshole?

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<v Speaker 6>A money pit that will never be filled? What sort

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<v Speaker 6>of moron would invest in your project? Nobody has and

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<v Speaker 6>nobody will. Unless they're on the take from Gavin Newsom.

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<v Speaker 6>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. Right. The people, the taxpayers.

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<v Speaker 4>Have to realize this stuff, internalize it, and 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.

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<v Speaker 1>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. Yes, look at them struggling with their

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<v Speaker 2>one leg. Two final quotes from me, then I'll shut up.

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<v Speaker 4>State Senator Tony Strickland, a Republican, said at the Transportation

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<v Speaker 4>Committee meeting, I don't think this will ever be built,

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<v Speaker 4>has proposed to the people in California. I know I

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<v Speaker 4>wouldn't put my money and invest in this, but I

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<v Speaker 4>wish you luck. Second quote, Joe Pearson, a Bakersfieldian, quote,

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<v Speaker 4>nobody here in Bakersfield says, hey, I want to go

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<v Speaker 4>to Merced.

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<v Speaker 2>Yeah, which is a good joke, but and true. But

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<v Speaker 2>I was watching the 60 Minutes piece in there. They

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<v Speaker 2>had the map up there and everything like that. And

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<v Speaker 2>I thought, when would I ever, even if they got

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<v Speaker 2>this thing built and it's running all the time and

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<v Speaker 2>it's efficient and reliable, when would I ever decide, you know,

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<v Speaker 2>I'm going to take the train this time instead of

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<v Speaker 2>fly southwest? When would I ever do that?

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<v Speaker 4>You had a day to kill and wanted to look

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<v Speaker 4>at the stunning scenery of the Central Valley of California.

0:12:29.530 --> 0:12:31.700
<v Speaker 2>Which is fine, but I'm joking. It's not that stunning.

0:12:35.179 --> 0:12:41.859
<v Speaker 4>No, no, it is an absolutely transparent, ginormous theft of

0:12:41.920 --> 0:12:42.660
<v Speaker 4>taxpayer money.

0:12:44.820 --> 0:12:45.340
<v Speaker 2>You laugh.

0:12:45.700 --> 0:12:46.180
<v Speaker 1>I laugh.

0:12:46.500 --> 0:12:51.689
<v Speaker 2>Yeah, I have a laugh. Some more interesting Dolly facts

0:12:51.790 --> 0:12:55.050
<v Speaker 2>for you as the world pours out their heart in

0:12:55.130 --> 0:12:59.180
<v Speaker 2>memory of Dolly Parton. And I mean everyone. The wide

0:12:59.220 --> 0:13:03.760
<v Speaker 2>variety is just absolutely incredible. The most famous Dolly of

0:13:03.820 --> 0:13:10.410
<v Speaker 2>all time, probably. Dolly the cloned sheep, a contender. Dolly Madison.

0:13:10.809 --> 0:13:16.630
<v Speaker 2>Dolly Madison, a hugely popular Dolly. Hailing in comparison. Historical significance?

0:13:16.710 --> 0:13:19.710
<v Speaker 2>I don't know. We'll see.

0:13:19.730 --> 0:13:22.489
<v Speaker 4>Probably Dolly Parton. We'll have to see. Check back in

0:13:22.490 --> 0:13:25.550
<v Speaker 4>100 years. And remembering, we got a text earlier. She

0:13:25.590 --> 0:13:27.510
<v Speaker 4>had big boobs. Thank you for that text.

0:13:27.970 --> 0:13:33.500
<v Speaker 2>Well observed. Well observed. Okay, more on the way. Stay here.

0:13:33.520 --> 0:13:43.640
<v Speaker 1>Armstrong and Getty. The Armstrong and Getty Show.

0:13:53.990 --> 0:13:57.850
<v Speaker 2>This is the band at Buckingham Palace. The guys in

0:13:57.870 --> 0:14:01.010
<v Speaker 2>the red coats and the big, tall fur hats. Standing

0:14:01.050 --> 0:14:03.680
<v Speaker 2>out on the lawn at Buckingham Palace playing 9 to 5,

0:14:03.670 --> 0:14:04.650
<v Speaker 2>the Dolly Parton song.

0:14:05.330 --> 0:14:05.510
<v Speaker 7>Huh.

0:14:06.070 --> 0:14:10.290
<v Speaker 2>That's lovely. Once again, showing the reach of Dolly Parton,

0:14:10.330 --> 0:14:15.859
<v Speaker 2>which should be studied and understood. She's one of the

0:14:15.920 --> 0:14:18.000
<v Speaker 2>most universally liked things.

0:14:19.750 --> 0:14:22.430
<v Speaker 2>Up there with hamburgers and sex in the history of

0:14:22.450 --> 0:14:26.490
<v Speaker 2>the world. It's really quite amazing. Yeah. And we were

0:14:26.530 --> 0:14:29.350
<v Speaker 2>talking earlier about why that is, so we'll probably talk

0:14:29.370 --> 0:14:32.980
<v Speaker 2>about that more later. I had one more point I

0:14:33.000 --> 0:14:35.540
<v Speaker 2>was going to make before I got to this breaking news.

0:14:36.620 --> 0:14:42.520
<v Speaker 2>Breaking news! Breaking news, Donkey Michael! Breaking news, Donkey! The

0:14:42.580 --> 0:14:45.479
<v Speaker 2>news breaks the donkey braids. It was happening right in

0:14:45.500 --> 0:14:49.500
<v Speaker 2>our backyard in federal court in Oakland. Meta has settled

0:14:49.580 --> 0:14:52.200
<v Speaker 2>out of court. I took one law class in college.

0:14:52.780 --> 0:14:52.900
<v Speaker 1>One.

0:14:54.480 --> 0:14:56.660
<v Speaker 2>And he hammered this every single day. So it stuck

0:14:56.680 --> 0:14:58.910
<v Speaker 2>in my head. I guess he wanted us to remember this.

0:14:59.470 --> 0:15:03.850
<v Speaker 2>You can settle at any time. At any time. Before

0:15:04.370 --> 0:15:06.530
<v Speaker 2>the very beginning. Right before the end. In the middle.

0:15:06.790 --> 0:15:07.170
<v Speaker 4>Any time.

0:15:07.390 --> 0:15:11.520
<v Speaker 2>You can settle. And that's what happened here. Meta to

0:15:11.580 --> 0:15:15.560
<v Speaker 2>pay up to 17.1 billion dollars in landmark settlement over

0:15:15.620 --> 0:15:21.210
<v Speaker 2>social media addiction claims. There are 47 states involved. The

0:15:21.230 --> 0:15:25.690
<v Speaker 2>District of Columbia and U.S. territories. Trying to claim that

0:15:25.770 --> 0:15:31.600
<v Speaker 2>Meta was purposefully ruining our children or something. Certainly recklessly.

0:15:33.710 --> 0:15:36.450
<v Speaker 2>And at some point, Meta decided that cutting a check

0:15:36.470 --> 0:15:39.570
<v Speaker 2>for $ 17 billion is better than letting this continue. That's

0:15:39.610 --> 0:15:43.850
<v Speaker 2>a big check. That is a big dang check. Jonathan Turley,

0:15:43.950 --> 0:15:47.090
<v Speaker 2>the lawyer from George Washington Law School, the professor who's

0:15:47.130 --> 0:15:49.650
<v Speaker 2>on Fox all the time, has some commentary on this.

0:15:49.730 --> 0:15:53.590
<v Speaker 2>Let's hear a little of that. Click 90, Michael. Well,

0:15:53.610 --> 0:15:54.570
<v Speaker 2>this is seismic.

0:15:55.030 --> 0:15:57.460
<v Speaker 8>It's going to be something of a dinner gong for

0:15:57.960 --> 0:16:00.920
<v Speaker 8>both states and plaintiff attorneys. And I think that Meta

0:16:00.960 --> 0:16:05.190
<v Speaker 8>knows that. But in many ways, for the company, this

0:16:05.270 --> 0:16:07.450
<v Speaker 8>is still chump change. I mean, this is a company

0:16:07.490 --> 0:16:11.440
<v Speaker 8>that makes a huge amount of money. And when you

0:16:11.500 --> 0:16:14.580
<v Speaker 8>reach a settlement like this, we've seen, for example, in

0:16:14.600 --> 0:16:18.420
<v Speaker 8>the tobacco settlement, that these companies actually don't end up

0:16:18.500 --> 0:16:22.100
<v Speaker 8>losing money because of the benefits in the market in

0:16:22.140 --> 0:16:26.240
<v Speaker 8>resolving litigation. Their stock tends to go up and they're

0:16:26.280 --> 0:16:27.820
<v Speaker 8>able to cover these losses.

0:16:30.310 --> 0:16:32.130
<v Speaker 2>That's kind of interesting. I guess I didn't know that

0:16:32.170 --> 0:16:35.430
<v Speaker 2>last part. Just roll into the next one. I'm kind

0:16:35.450 --> 0:16:38.050
<v Speaker 2>of interested in the details of the arguments.

0:16:38.470 --> 0:16:41.630
<v Speaker 8>I think in fairness to the 29 states that brought

0:16:41.650 --> 0:16:46.359
<v Speaker 8>this lawsuit, there is a commitment here to change the app,

0:16:46.400 --> 0:16:52.140
<v Speaker 8>to change this software to create greater protections. The issue

0:16:52.260 --> 0:16:55.600
<v Speaker 8>here for Meadow was that legally they had some very

0:16:55.640 --> 0:16:59.490
<v Speaker 8>good arguments to make here. The line between What's an

0:16:59.540 --> 0:17:04.290
<v Speaker 8>addictive and what's a popular product is often hard to define.

0:17:04.450 --> 0:17:06.430
<v Speaker 2>I'd say. It's interesting.

0:17:06.470 --> 0:17:10.060
<v Speaker 4>The settlement was actually with 47 states, the District of

0:17:10.140 --> 0:17:13.280
<v Speaker 4>Columbia and U.S. territories, some of which were not part

0:17:13.300 --> 0:17:15.980
<v Speaker 4>of this specific suit, I have a feeling. But, yeah,

0:17:16.020 --> 0:17:18.740
<v Speaker 4>that's a heck of a gesture, thinking, no, let's not

0:17:18.869 --> 0:17:20.030
<v Speaker 4>take this all the way to the jury.

0:17:20.070 --> 0:17:22.930
<v Speaker 2>Let's just end it. Well, and as Turley said there,

0:17:22.950 --> 0:17:25.410
<v Speaker 2>and if we've talked about, Meta has some really good arguments,

0:17:25.490 --> 0:17:27.530
<v Speaker 2>you know, so did Roundup, and they ended up paying

0:17:27.609 --> 0:17:30.359
<v Speaker 2>out ridiculous amounts of money, even though there's no scientific

0:17:30.430 --> 0:17:33.000
<v Speaker 2>proof they caused cancer. So that's a tough one.

0:17:33.200 --> 0:17:44.970
<v Speaker 1>Armstrong and Getty. Jolene, Jolene, Jolene, Jolene. The Armstrong and

0:17:45.010 --> 0:17:45.609
<v Speaker 1>Getty Show.

0:17:49.010 --> 0:17:50.590
<v Speaker 7>What we're not going to do is talk about Dolly

0:17:50.630 --> 0:17:54.040
<v Speaker 7>Parton like we lost an 80-year-old woman because Dolly Parton

0:17:54.080 --> 0:17:57.840
<v Speaker 7>was 25 years old for approximately 55 consecutive years. I

0:17:57.880 --> 0:18:01.619
<v Speaker 7>don't know how she did it. Dolly Parton looked at

0:18:01.780 --> 0:18:05.169
<v Speaker 7>aging and said, well, there's a precious little idea.

0:18:05.220 --> 0:18:05.870
<v Speaker 2>No, thank you.

0:18:05.970 --> 0:18:08.470
<v Speaker 7>That woman had the same blood, had the same smile,

0:18:08.510 --> 0:18:11.169
<v Speaker 7>the same energy, the same heels, the same amount of

0:18:11.310 --> 0:18:14.150
<v Speaker 7>woman from the time your grandma was young until five

0:18:14.190 --> 0:18:14.650
<v Speaker 7>minutes ago.

0:18:14.690 --> 0:18:16.280
<v Speaker 2>Dolly Parton didn't get older.

0:18:16.859 --> 0:18:19.800
<v Speaker 7>The rest of us just kept catching up to her.

0:18:19.980 --> 0:18:22.780
<v Speaker 2>How great is that, Katie? That's a comedian I don't know.

0:18:22.820 --> 0:18:25.220
<v Speaker 2>Who was that? A comedian named Josh Bray that I

0:18:25.260 --> 0:18:31.550
<v Speaker 2>don't know. She's been 25. Right. She looked at age

0:18:31.570 --> 0:18:34.630
<v Speaker 2>and said, I'm not going to do that. Oh, no,

0:18:34.650 --> 0:18:40.359
<v Speaker 2>thank you. Fantastic. Good stuff. Good stuff. So I wanted

0:18:40.380 --> 0:18:44.220
<v Speaker 2>to play this, this this whole appearance of Dolly Parton

0:18:44.260 --> 0:18:46.200
<v Speaker 2>on Johnny Carson way back in the day. The whole

0:18:46.220 --> 0:18:49.310
<v Speaker 2>thing is good, including her singing the song to Johnny

0:18:49.350 --> 0:18:51.970
<v Speaker 2>that she wrote for him. But this is a classic moment.

0:18:52.350 --> 0:18:53.910
<v Speaker 2>I've always been pretty well-blessed.

0:18:53.930 --> 0:18:56.330
<v Speaker 1>People are always asking if they're real.

0:18:56.630 --> 0:18:59.050
<v Speaker 2>Oh, I would never. I would never, you see. No,

0:18:59.070 --> 0:18:59.639
<v Speaker 2>you don't have to ask.

0:19:00.130 --> 0:19:00.570
<v Speaker 7>I would not.

0:19:00.670 --> 0:19:06.530
<v Speaker 1>I'll tell you what. I have certain guidelines.

0:19:06.570 --> 0:19:08.550
<v Speaker 2>But I would give about a year's pay to peek

0:19:08.590 --> 0:19:15.310
<v Speaker 2>under there. That is just lurid, I don't tell. I

0:19:15.450 --> 0:19:20.010
<v Speaker 2>can't believe it. We've got some more interesting Dolly Parton stuff.

0:19:20.090 --> 0:19:23.399
<v Speaker 2>I keep scrolling through and coming across. Some of the

0:19:23.460 --> 0:19:26.590
<v Speaker 2>musical performances. When she got together with Emmylou Harris and

0:19:26.630 --> 0:19:28.770
<v Speaker 2>Linda Ronstadt for a couple albums, there was some really

0:19:28.810 --> 0:19:31.270
<v Speaker 2>good music on there. But this performance of Neil Young's

0:19:31.510 --> 0:19:34.290
<v Speaker 2>After the Gold Rush from Letterman in the 90s, whoa,

0:19:34.330 --> 0:19:37.969
<v Speaker 2>that's good. Really, really good. Have to dig into that.

0:19:38.250 --> 0:19:42.650
<v Speaker 4>I loved, Jack was texting, tweeting, I guess texting Twitter

0:19:42.670 --> 0:19:45.449
<v Speaker 4>links to the internal group here of the show of

0:19:45.570 --> 0:19:47.810
<v Speaker 4>all the tributes that were pouring out.

0:19:48.070 --> 0:19:52.560
<v Speaker 2>And they were all really beautiful images. touching, including Eminem, a.k.a.

0:19:52.640 --> 0:19:56.030
<v Speaker 2>Marshall Mathers. who shared a note Dolly wrote to him

0:19:56.090 --> 0:19:58.320
<v Speaker 2>when he won, I can't remember. Yeah, I got that

0:19:58.340 --> 0:20:01.580
<v Speaker 2>in front of me. So Eminem tweeted out, I'm sorry

0:20:01.600 --> 0:20:03.240
<v Speaker 2>we never got a chance to meet, but getting this

0:20:03.280 --> 0:20:05.239
<v Speaker 2>note from Dolly really had an impact on me. She

0:20:05.260 --> 0:20:07.030
<v Speaker 2>definitely didn't have to take the time to do it.

0:20:07.100 --> 0:20:09.109
<v Speaker 2>Even for a kid who mostly listened to rap music,

0:20:09.140 --> 0:20:12.389
<v Speaker 2>she was an icon, a superstar in every sense. Rest easy, Dolly,

0:20:12.410 --> 0:20:14.290
<v Speaker 2>and thank you for the kind words. This is the

0:20:14.350 --> 0:20:18.969
<v Speaker 2>letter that Dolly Parton wrote to Eminem out of nowhere. Marshall, Eminem,

0:20:19.430 --> 0:20:21.830
<v Speaker 2>congratulations on your induction into the Rock and Roll Hall

0:20:21.869 --> 0:20:24.240
<v Speaker 2>of Fame. Your performance was amazing and everybody said so.

0:20:24.640 --> 0:20:26.379
<v Speaker 2>Even though I don't know a lot about rap music,

0:20:26.420 --> 0:20:27.880
<v Speaker 2>I've come to know that you were the very best

0:20:27.960 --> 0:20:29.859
<v Speaker 2>at it. Aside from that, I hope what I have

0:20:29.900 --> 0:20:32.000
<v Speaker 2>to say will not seem weird or strange to you,

0:20:32.400 --> 0:20:34.900
<v Speaker 2>but I've always felt some unexplained connection to you, like

0:20:34.960 --> 0:20:37.060
<v Speaker 2>I know you somehow. I'd hope to meet you at

0:20:37.100 --> 0:20:39.380
<v Speaker 2>the show, but you know how nuts those things are. Personally,

0:20:39.440 --> 0:20:41.400
<v Speaker 2>I hate them and I missed my chance. But maybe

0:20:41.440 --> 0:20:43.810
<v Speaker 2>someday we'll meet. In the meantime, keep doing what you're

0:20:43.830 --> 0:20:45.770
<v Speaker 2>doing because you do it so well. No matter how

0:20:45.830 --> 0:20:48.170
<v Speaker 2>complex your world may be, just know you're very special

0:20:48.410 --> 0:20:50.330
<v Speaker 2>and touch people in ways you don't even know. With

0:20:50.390 --> 0:20:51.649
<v Speaker 2>love and respect, Dolly Parton.

0:20:51.830 --> 0:20:52.510
<v Speaker 8>Wow.

0:20:53.930 --> 0:20:58.200
<v Speaker 2>Wow. That's a beautiful soul. And, you know, it's funny.

0:20:58.220 --> 0:20:59.100
<v Speaker 2>I was thinking about this.

0:21:00.520 --> 0:21:06.240
<v Speaker 4>As a girl from an Appalachian family, 12 people, 12 kids.

0:21:06.700 --> 0:21:10.100
<v Speaker 2>Mom and dad living in a one-room cabin.

0:21:11.760 --> 0:21:15.500
<v Speaker 4>Whereas Marshall Mathers grew up on the outskirts of crappy,

0:21:15.660 --> 0:21:17.300
<v Speaker 4>depressed Detroit.

0:21:17.460 --> 0:21:21.179
<v Speaker 2>She knew they had something in common. You're right. I

0:21:21.220 --> 0:21:23.100
<v Speaker 2>never thought about it from that angle, but that's clearly true.

0:21:23.560 --> 0:21:25.720
<v Speaker 2>Dolly Parton and Eminem had more in common than my

0:21:25.780 --> 0:21:27.880
<v Speaker 2>son and Eminem. And my son sees himself as like

0:21:27.920 --> 0:21:30.510
<v Speaker 2>a rapper or those kind of people. But, you know,

0:21:31.130 --> 0:21:34.250
<v Speaker 2>growing up in poor, difficult times. Yeah, that's interesting.

0:21:34.530 --> 0:21:38.010
<v Speaker 9>Eminem is part of the soundtrack for all millennials. Just

0:21:38.030 --> 0:21:40.290
<v Speaker 9>to let you know, he was like huge for us.

0:21:40.550 --> 0:21:44.750
<v Speaker 2>But that particular Eminem thing there, there are so many

0:21:44.790 --> 0:21:50.830
<v Speaker 2>of those crossing every spectrum of the world and generations.

0:21:51.130 --> 0:21:54.410
<v Speaker 2>And it's just, it's amazing. Yeah, yeah.

0:21:54.770 --> 0:21:58.650
<v Speaker 9>People are making a fortune on TikTok imitating him. They

0:21:58.690 --> 0:22:01.110
<v Speaker 9>sound exactly like him. Like if I close my eyes,

0:22:01.150 --> 0:22:04.510
<v Speaker 9>you couldn't tell the difference. They're just making a fortune

0:22:04.550 --> 0:22:05.230
<v Speaker 9>off of his voice.

0:22:06.170 --> 0:22:07.429
<v Speaker 2>That's interesting. I don't know what you're doing.

0:22:08.450 --> 0:22:12.980
<v Speaker 4>Yeah, so we were talking earlier and at fair length

0:22:13.020 --> 0:22:18.080
<v Speaker 4>about Dolly Parton and the universal affection for her and

0:22:18.320 --> 0:22:20.169
<v Speaker 4>where that came from and what it means and how

0:22:20.210 --> 0:22:23.310
<v Speaker 4>it ought to be studied at the university level or

0:22:23.330 --> 0:22:27.389
<v Speaker 4>certainly in churches and wherever humans gather and want to

0:22:27.450 --> 0:22:28.130
<v Speaker 4>be decent.

0:22:29.490 --> 0:22:32.360
<v Speaker 2>One aspect that we learned a little bit about was

0:22:32.380 --> 0:22:35.180
<v Speaker 2>that last year when her husband died, nobody had ever

0:22:35.220 --> 0:22:38.240
<v Speaker 2>thought about or talked about really her husband the whole time.

0:22:38.640 --> 0:22:43.540
<v Speaker 2>He stayed in the background. They met at a laundromat

0:22:43.720 --> 0:22:45.659
<v Speaker 2>when I think she was still a teenager, and they

0:22:45.700 --> 0:22:51.740
<v Speaker 2>were together for 59 years. And that on its own

0:22:51.790 --> 0:22:54.310
<v Speaker 2>is such an interesting aspect of her story. Sure.

0:22:54.609 --> 0:22:54.830
<v Speaker 4>Yeah.

0:22:55.210 --> 0:22:55.410
<v Speaker 1>Yeah.

0:22:56.560 --> 0:23:02.820
<v Speaker 4>To be rich, famous, but kind, unassuming, funny, smart, but

0:23:02.880 --> 0:23:04.260
<v Speaker 4>not lord it over anybody.

0:23:04.320 --> 0:23:05.920
<v Speaker 2>Happily married for 60 years.

0:23:05.940 --> 0:23:06.760
<v Speaker 8>Yeah.

0:23:06.960 --> 0:23:09.660
<v Speaker 2>Those are not easy things to pull off. Well, I just,

0:23:10.380 --> 0:23:13.200
<v Speaker 2>this from Donna Brazile, because I'm talking about all the

0:23:13.400 --> 0:23:16.380
<v Speaker 2>different sorts of people that weighed in on this. Donna Brazile,

0:23:16.770 --> 0:23:20.490
<v Speaker 2>she was Al Gore's campaign manager. She's a big Democratic.

0:23:21.190 --> 0:23:25.030
<v Speaker 2>pundit dolly parton spent decades quietly funding band uniforms and

0:23:25.109 --> 0:23:27.970
<v Speaker 2>instruments at black high schools across the south never once

0:23:28.050 --> 0:23:30.730
<v Speaker 2>putting her name on it no headlines no fanfare just

0:23:30.770 --> 0:23:34.050
<v Speaker 2>help given because it was needed that's the whole you

0:23:34.070 --> 0:23:36.810
<v Speaker 2>know it's only really altruistic if you don't if nobody

0:23:36.830 --> 0:23:39.830
<v Speaker 2>knows you did it sort of thing um a lot

0:23:39.869 --> 0:23:41.570
<v Speaker 2>of people not into that want to have their name

0:23:41.690 --> 0:23:44.840
<v Speaker 2>on the school or band uniform or there needs to

0:23:44.880 --> 0:23:48.060
<v Speaker 2>be a big uh gathering of local tv stations whenever

0:23:48.080 --> 0:23:49.240
<v Speaker 2>you give the check or whatever.

0:23:51.270 --> 0:23:55.070
<v Speaker 4>Yes, there are people who are really, really into that,

0:23:55.090 --> 0:23:58.640
<v Speaker 4>and that's the only reason they do anything charitable. I'll

0:23:58.680 --> 0:24:03.060
<v Speaker 4>just end my comments there. So good for Dolly, a

0:24:03.300 --> 0:24:06.520
<v Speaker 4>saint among us. I don't want to rush through this,

0:24:06.940 --> 0:24:08.520
<v Speaker 4>but this is kind of the other side of the coin,

0:24:08.560 --> 0:24:10.359
<v Speaker 4>and maybe we can continue on the other side of

0:24:10.480 --> 0:24:12.419
<v Speaker 4>a very brief break.

0:24:12.740 --> 0:24:14.550
<v Speaker 2>You saying she was a saint, one thing I was

0:24:14.570 --> 0:24:16.030
<v Speaker 2>going to look into last night, and I never got

0:24:16.070 --> 0:24:19.710
<v Speaker 2>around to grokking, was she a religious person?

0:24:21.109 --> 0:24:21.350
<v Speaker 1>Yes.

0:24:21.609 --> 0:24:24.910
<v Speaker 2>Oh, yeah. She was a validly Christian. Yeah. But like

0:24:24.950 --> 0:24:27.210
<v Speaker 2>goes to church every Sunday sort of Christian? No idea. No,

0:24:27.530 --> 0:24:30.210
<v Speaker 2>I was going to look into that. I'd just be interested. Yeah,

0:24:30.250 --> 0:24:31.889
<v Speaker 2>I'm not sure. How would it be if Dolly went

0:24:31.930 --> 0:24:33.520
<v Speaker 2>to church every Sunday? Well, if she went to the

0:24:33.560 --> 0:24:35.420
<v Speaker 2>same place. I don't know. Interesting. You wouldn't want to

0:24:35.460 --> 0:24:36.619
<v Speaker 2>sit behind her in the pew. You ain't going to

0:24:36.660 --> 0:24:40.500
<v Speaker 2>see a thing. No, no, because her wig, big old wig. Anyway,

0:24:41.060 --> 0:24:43.780
<v Speaker 2>where were we? I had something interesting to say. I'm

0:24:43.960 --> 0:24:48.119
<v Speaker 2>certain of it. It's gone now. A word instead from

0:24:48.160 --> 0:24:50.580
<v Speaker 2>our friends at Blue Collar Dollars. Sort of thing. I'm

0:24:50.619 --> 0:24:53.460
<v Speaker 2>tying Dolly Parton into everything. I was going to, but

0:24:53.500 --> 0:24:56.550
<v Speaker 2>go ahead. Okay. Go ahead. Well, you might have a

0:24:56.570 --> 0:24:59.330
<v Speaker 2>better idea. You had thought of it already. I doubt it. No, no,

0:24:59.390 --> 0:25:02.149
<v Speaker 2>I was right just off the cuff. I was going

0:25:02.190 --> 0:25:04.510
<v Speaker 2>to say, the Blue Collar Dollars, definitely the sort of

0:25:04.550 --> 0:25:08.020
<v Speaker 2>people that Dolly Parton came from. People that get up

0:25:08.119 --> 0:25:12.180
<v Speaker 2>early and work hard all day long. and oftentimes think

0:25:12.280 --> 0:25:15.040
<v Speaker 2>that the whole financial world, investment world, all that sort

0:25:15.060 --> 0:25:16.040
<v Speaker 2>of stuff is not for them.

0:25:16.100 --> 0:25:19.239
<v Speaker 4>Well, Blue Collar Dollar is for you. Kind of the

0:25:19.440 --> 0:25:23.940
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0:25:23.980 --> 0:25:25.810
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0:25:25.880 --> 0:25:28.510
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0:25:28.530 --> 0:25:30.770
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0:25:30.810 --> 0:25:32.450
<v Speaker 4>get you and your lifestyle and your priorities.

0:25:33.140 --> 0:25:36.450
<v Speaker 2>Building a place where hardworking people can share the values

0:25:36.490 --> 0:25:39.630
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0:25:39.670 --> 0:25:42.560
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0:25:42.580 --> 0:25:45.720
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0:25:45.740 --> 0:25:48.640
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0:25:48.680 --> 0:25:51.760
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0:25:51.820 --> 0:25:55.560
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0:25:55.600 --> 0:25:58.840
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0:25:58.900 --> 0:26:00.619
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0:26:00.640 --> 0:26:03.070
<v Speaker 2>more important disclosures, visit bluecollardollar.com.

0:26:04.369 --> 0:26:10.860
<v Speaker 4>So on the other side of the coin of the lovely... Wonderful, open-hearted, kind,

0:26:11.070 --> 0:26:16.409
<v Speaker 4>unassuming Dolly Parton. You have our cynical time where no

0:26:16.490 --> 0:26:21.250
<v Speaker 4>one trusts, for instance, data centers and flock cameras. Those

0:26:21.350 --> 0:26:25.520
<v Speaker 4>are two of the big kind of hot points in

0:26:25.950 --> 0:26:28.679
<v Speaker 4>local politics in America. And, of course, you know, if

0:26:28.780 --> 0:26:31.300
<v Speaker 4>it gets enough attention and happens in enough localities, it

0:26:31.320 --> 0:26:34.859
<v Speaker 4>becomes our national politics. But why no one trusts data

0:26:34.900 --> 0:26:39.830
<v Speaker 4>centers and flock cameras? Interesting thoughts on that. And it's

0:26:39.890 --> 0:26:41.350
<v Speaker 4>a bit of a problem.

0:26:44.900 --> 0:26:48.879
<v Speaker 2>If we decide to let China build all the data

0:26:48.900 --> 0:26:51.619
<v Speaker 2>centers and get the head start on AI because we're

0:26:51.920 --> 0:26:53.480
<v Speaker 2>scared of them for all these different reasons.

0:26:54.280 --> 0:26:54.580
<v Speaker 4>Right.

0:26:54.940 --> 0:26:57.950
<v Speaker 2>Right. Yeah. Do we know what Dolly Parton thought of

0:26:57.990 --> 0:27:01.350
<v Speaker 2>data centers? I don't believe she went on the record.

0:27:01.950 --> 0:27:06.030
<v Speaker 2>Too smart. Are we supposed to take a break or

0:27:06.070 --> 0:27:07.470
<v Speaker 2>transition to something else or what are we supposed to?

0:27:08.050 --> 0:27:09.090
<v Speaker 2>I wasn't paying attention.

0:27:09.670 --> 0:27:13.630
<v Speaker 4>Well, yeah, that's... Yeah, I was going to say, let's

0:27:13.670 --> 0:27:15.670
<v Speaker 4>talk about the lack of trust on the other side.

0:27:15.580 --> 0:27:17.090
<v Speaker 2>Of the break, because I don't want to rush through it.

0:27:17.100 --> 0:27:19.020
<v Speaker 4>Okay, cool.

0:27:19.260 --> 0:27:21.620
<v Speaker 2>We do need to get to a little bit more

0:27:21.720 --> 0:27:24.600
<v Speaker 2>of the trade war with Canada that is roiling hockey

0:27:24.640 --> 0:27:29.139
<v Speaker 2>stick manufacturers. Oh, good Lord. I know. Stay tuned for that.

0:27:30.890 --> 0:27:40.609
<v Speaker 1>Armstrong and Getty. The Armstrong and Getty Show.

0:27:42.890 --> 0:27:47.540
<v Speaker 2>Tweet it out and we'll post at armstrongandgetty.com the videos

0:27:47.560 --> 0:27:50.699
<v Speaker 2>that are coming out from the mudslide in Nepal today,

0:27:50.800 --> 0:27:54.840
<v Speaker 2>which is the most amazing thing I think I've ever seen.

0:27:54.920 --> 0:27:57.480
<v Speaker 2>It's the worst video I've ever seen. It's horrific.

0:27:58.600 --> 0:28:01.920
<v Speaker 4>It was like a bomb went off as an overused descriptor.

0:28:02.109 --> 0:28:05.270
<v Speaker 4>It was like an atomic bomb went off. The destruction

0:28:05.330 --> 0:28:06.850
<v Speaker 4>was complete and utter.

0:28:08.080 --> 0:28:11.139
<v Speaker 2>Well, complete. And all the people that are there at

0:28:11.180 --> 0:28:12.740
<v Speaker 2>the beginning of the video are not there at the

0:28:12.920 --> 0:28:13.560
<v Speaker 2>end of the video.

0:28:15.160 --> 0:28:17.510
<v Speaker 9>As eerie as this is, it reminded me of the

0:28:17.590 --> 0:28:18.490
<v Speaker 9>Twin Towers falling.

0:28:19.369 --> 0:28:20.609
<v Speaker 2>It is that sort of thing.

0:28:20.670 --> 0:28:23.649
<v Speaker 9>It just went up and everybody disappeared. Anyway, that's what

0:28:23.690 --> 0:28:25.880
<v Speaker 9>this is. We'll have them at Armstrong and Getty dot com.

0:28:26.790 --> 0:28:31.710
<v Speaker 4>So as discussed previously, in contrast to the whole Dolly

0:28:31.810 --> 0:28:35.400
<v Speaker 4>Parton aesthetic, you've got an incredible lack of trust in America,

0:28:35.460 --> 0:28:38.320
<v Speaker 4>whether it's the government in general, data centers, flock cameras,

0:28:39.320 --> 0:28:43.020
<v Speaker 4>people are very, very cynical. And Eric Erickson, who is

0:28:43.100 --> 0:28:45.870
<v Speaker 4>a colleague in the radio industry, wrote a piece that

0:28:46.290 --> 0:28:50.430
<v Speaker 4>the Free Press published that It's certainly ground that we

0:28:50.450 --> 0:28:52.610
<v Speaker 4>have plowed around here, but I think he sums it

0:28:52.650 --> 0:28:56.630
<v Speaker 4>up very well. The same government that used pandemic powers

0:28:56.690 --> 0:29:00.219
<v Speaker 4>to shutter churches and businesses now wants surveillance cameras on

0:29:00.260 --> 0:29:03.840
<v Speaker 4>street corners and data centers and backyards. You can't blame

0:29:03.920 --> 0:29:07.800
<v Speaker 4>people for saying no. And as he goes through it,

0:29:08.960 --> 0:29:11.520
<v Speaker 4>I think, you know, and this seems crazy to me

0:29:11.620 --> 0:29:13.940
<v Speaker 4>to even say this out loud, I think I had

0:29:14.100 --> 0:29:19.590
<v Speaker 4>let my sense of outrage at The abuses of government

0:29:19.630 --> 0:29:24.280
<v Speaker 4>during COVID kind of, the edges have gotten warmed off

0:29:24.320 --> 0:29:27.900
<v Speaker 4>and I kind of feel myself moving on. But psychologically,

0:29:27.960 --> 0:29:31.260
<v Speaker 4>and anybody who's ever dealt with psychological trauma knows, even

0:29:31.320 --> 0:29:33.980
<v Speaker 4>if you don't think about it every day, it's still

0:29:34.090 --> 0:29:37.110
<v Speaker 4>in there. And he makes the point that in April

0:29:37.150 --> 0:29:41.110
<v Speaker 4>of 2020, San Clemente, California dumped $ 37 of sand into

0:29:41.150 --> 0:29:43.420
<v Speaker 4>a skate park to keep teenagers out of it.

0:29:43.630 --> 0:29:47.360
<v Speaker 2>That's so insane that actually happened that actually other.

0:29:47.140 --> 0:29:52.540
<v Speaker 4>California's cities followed suit yeah god that's so freaking crazy

0:29:53.150 --> 0:29:55.969
<v Speaker 4>Up the coast, sheriff's deputies arrested a man for paddleboarding

0:29:56.010 --> 0:29:59.810
<v Speaker 4>by himself in the Pacific Ocean. Cities unbolted basketball rims.

0:29:59.890 --> 0:30:02.710
<v Speaker 4>The mayor of L.A. told people that snitches get rewards.

0:30:03.210 --> 0:30:05.710
<v Speaker 4>And God help us, people snitched, calling the tip lines

0:30:05.810 --> 0:30:08.970
<v Speaker 4>on the neighbors whose grandkids came over. Months later, Gavin

0:30:08.990 --> 0:30:12.450
<v Speaker 4>Newsom violated his own COVID-19 protocols and enjoyed a nice

0:30:12.490 --> 0:30:13.590
<v Speaker 4>dinner at the French Laundry.

0:30:13.730 --> 0:30:16.510
<v Speaker 2>Well, I lived with a park behind me, and they

0:30:16.550 --> 0:30:19.750
<v Speaker 2>had yellow crime tape around the playground equipment.

0:30:20.460 --> 0:30:24.420
<v Speaker 4>Yes, it was like it was the 1500s. There's disease around.

0:30:24.540 --> 0:30:26.520
<v Speaker 4>Be sure you stay inside.

0:30:27.420 --> 0:30:27.660
<v Speaker 8>Wow.

0:30:27.920 --> 0:30:31.200
<v Speaker 4>The sand, the arrest, the missing basketball rims, the rewarded snitches,

0:30:31.260 --> 0:30:35.120
<v Speaker 4>and the elite hypocrisy explain a lot about where we

0:30:35.180 --> 0:30:37.680
<v Speaker 4>are as a nation, including things that look like they

0:30:37.720 --> 0:30:40.460
<v Speaker 4>have nothing to do with COVID, like data centers and

0:30:40.600 --> 0:30:43.790
<v Speaker 4>flock cameras. In March of 2020, Americans did as they

0:30:43.830 --> 0:30:48.150
<v Speaker 4>were told. People closed businesses. Local governments closed schools. Family

0:30:48.210 --> 0:30:51.520
<v Speaker 4>canceled funerals. They waited for instructions from their elected leaders

0:30:51.560 --> 0:30:54.330
<v Speaker 4>and public health officials because those officials said we needed

0:30:54.370 --> 0:30:58.050
<v Speaker 4>two weeks to stop the spread. People generally trusted their institutions.

0:30:58.410 --> 0:31:01.890
<v Speaker 4>Civic trust is a limited resource in a free nation.

0:31:02.270 --> 0:31:05.890
<v Speaker 4>The press, politicians, bureaucrats, experts, and elite violated that trust

0:31:06.250 --> 0:31:09.270
<v Speaker 4>until it was gone. The virus came, the data came,

0:31:09.560 --> 0:31:12.220
<v Speaker 4>the virus mutated, the data changed, and the people in

0:31:12.280 --> 0:31:15.280
<v Speaker 4>charge did not. We won't go on at too much length,

0:31:15.380 --> 0:31:18.540
<v Speaker 4>but We knew early on that children were not meaningful

0:31:18.600 --> 0:31:22.229
<v Speaker 4>vectors for spread. The bureaucrats, the politicians, and above all,

0:31:22.270 --> 0:31:25.850
<v Speaker 4>the teachers' unions kept the schoolhouse doors closed anyway. Parents

0:31:25.910 --> 0:31:28.170
<v Speaker 4>forced to be home with their kids saw how atrocious

0:31:28.250 --> 0:31:31.430
<v Speaker 4>our public education has become, and students, after being shut

0:31:31.490 --> 0:31:35.910
<v Speaker 4>out of schools, actually regressed. Masks clearly were not stopping

0:31:35.930 --> 0:31:39.340
<v Speaker 4>the virus, but the army of mentally deranged progressive women...

0:31:39.420 --> 0:31:42.620
<v Speaker 4>Harassing people for not wearing masks not only did not stop,

0:31:42.980 --> 0:31:45.840
<v Speaker 4>but it's morphed today into a virtue signal and a

0:31:45.880 --> 0:31:48.740
<v Speaker 4>public sign of inward mental health issues. Get on a

0:31:48.820 --> 0:31:51.660
<v Speaker 4>plane to any progressive enclave and you'll notice a pattern

0:31:51.720 --> 0:31:53.480
<v Speaker 4>in who still wears masks.

0:31:54.260 --> 0:31:56.220
<v Speaker 2>That's absolutely true. I see that every time I'm in

0:31:56.260 --> 0:31:56.820
<v Speaker 2>the airport.

0:31:58.110 --> 0:32:01.360
<v Speaker 4>And then... We knew early on that COVID spread indoors,

0:32:01.420 --> 0:32:04.120
<v Speaker 4>not outdoors, but California went right on filling in the

0:32:04.380 --> 0:32:07.850
<v Speaker 4>skate parks. When Brian Kemp reopened Georgia, the governor there,

0:32:08.090 --> 0:32:11.710
<v Speaker 4>the Atlantic ran a story calling it, quote, an experiment

0:32:11.770 --> 0:32:12.930
<v Speaker 4>in human sacrifice.

0:32:13.610 --> 0:32:15.330
<v Speaker 2>The president attacked him. Dr.

0:32:15.410 --> 0:32:19.060
<v Speaker 4>Anthony Fauci attacked him. Stacey Abrams attacked him. And Georgia

0:32:19.100 --> 0:32:24.700
<v Speaker 4>recovered first among states. And he goes through the whole

0:32:24.760 --> 0:32:26.440
<v Speaker 4>thing again, which I think is worth going over.

0:32:26.480 --> 0:32:27.180
<v Speaker 2>We ought to have, like.

0:32:28.580 --> 0:32:31.040
<v Speaker 4>You know, in the Jewish religion, they have a number

0:32:31.080 --> 0:32:35.760
<v Speaker 4>of quote-unquote holidays, holy days, including, you know, and I'm

0:32:35.800 --> 0:32:38.220
<v Speaker 4>not an expert. I always forget the names of them, but,

0:32:38.380 --> 0:32:40.930
<v Speaker 4>you know, a day of atonement, a day to think

0:32:41.010 --> 0:32:45.550
<v Speaker 4>about your sins and atone for them because going la-la-la-la-la-la

0:32:45.590 --> 0:32:47.370
<v Speaker 4>past your own sins is not the way to get

0:32:47.530 --> 0:32:48.190
<v Speaker 4>right with God.

0:32:48.230 --> 0:32:49.190
<v Speaker 2>I think it's a great idea.

0:32:49.910 --> 0:32:53.270
<v Speaker 4>We ought to have an annual day of reckoning about COVID.

0:32:57.130 --> 0:33:01.010
<v Speaker 4>Not to mention the lies about the vaccine, which absolutely

0:33:01.490 --> 0:33:05.110
<v Speaker 4>reduced the incidence of fatality and severe illness.

0:33:05.110 --> 0:33:07.540
<v Speaker 2>100% it did. Well, not 100%.

0:33:07.540 --> 0:33:12.140
<v Speaker 4>We're literally talking about statistics, Joe. You can't say 100%.

0:33:12.140 --> 0:33:15.459
<v Speaker 4>But the idea that it would stop the spread and

0:33:15.540 --> 0:33:19.170
<v Speaker 4>people should be fired or barred from the military or

0:33:19.310 --> 0:33:24.250
<v Speaker 4>punished or demonized for not getting it. It was absurd,

0:33:24.410 --> 0:33:26.790
<v Speaker 4>and even when that became clear, they continued to insist

0:33:26.810 --> 0:33:31.830
<v Speaker 4>that it was true. The psychological trauma of the betrayed

0:33:31.850 --> 0:33:32.550
<v Speaker 4>trust remains.

0:33:33.750 --> 0:33:39.700
<v Speaker 2>And so you tie that into the data center rejection? Yeah, yeah.

0:33:39.780 --> 0:33:45.800
<v Speaker 4>Actually, that was the point that Eric was making, that

0:33:47.600 --> 0:33:52.459
<v Speaker 4>you've got a couple of things that are clearly– either

0:33:53.200 --> 0:33:55.860
<v Speaker 4>dangerous or threatening. They represent, in the case of the

0:33:55.900 --> 0:33:59.920
<v Speaker 4>data centers, the AI uncertainty, which could be devastating. It

0:34:00.010 --> 0:34:03.730
<v Speaker 4>could be like that damn mudslide in Nepal to the economy.

0:34:04.090 --> 0:34:06.490
<v Speaker 4>People are really concerned about it, both on a personal

0:34:06.530 --> 0:34:07.510
<v Speaker 4>and societal level.

0:34:08.090 --> 0:34:10.410
<v Speaker 2>And we're being told, no, no, we got this, trust us.

0:34:10.910 --> 0:34:14.830
<v Speaker 4>And the data centers, they're big, they're ugly, they're a

0:34:14.890 --> 0:34:16.130
<v Speaker 4>symbol of AI.

0:34:16.190 --> 0:34:17.009
<v Speaker 2>So people are freaked out.

0:34:17.330 --> 0:34:21.819
<v Speaker 4>The flock camera thing, there would be distrust of that

0:34:21.880 --> 0:34:26.060
<v Speaker 4>because it's establishing something close to a surveillance state. But

0:34:26.320 --> 0:34:29.260
<v Speaker 4>Eric's point, again, is that when the authorities, and look,

0:34:29.300 --> 0:34:35.589
<v Speaker 4>we're pro-law enforcement around here, and certainly anti-law enforcement. But

0:34:35.650 --> 0:34:38.690
<v Speaker 4>when I'm told, no, don't worry, we'll make sure this

0:34:38.750 --> 0:34:41.589
<v Speaker 4>isn't abused, nobody will look at the surveillance, it won't

0:34:41.610 --> 0:34:44.610
<v Speaker 4>turn into a surveillance state, this is merely for emergencies

0:34:44.670 --> 0:34:47.549
<v Speaker 4>and crimes and that sort of thing, I think, yeah, bull-ass.

0:34:48.880 --> 0:34:49.160
<v Speaker 8>Yeah.

0:34:49.739 --> 0:34:53.819
<v Speaker 2>I have a real problem with that one. I was

0:34:53.860 --> 0:34:58.890
<v Speaker 2>talking to Anastasia Bowden, the lawyer from Pacific Legal Foundation,

0:34:58.910 --> 0:35:01.850
<v Speaker 2>about that Friday after you left. Like her piece, their

0:35:01.930 --> 0:35:05.270
<v Speaker 2>piece was, you know, we're not completely against these. Then

0:35:05.310 --> 0:35:07.870
<v Speaker 2>they help stop crimes. I hate that argument. As I

0:35:07.910 --> 0:35:10.690
<v Speaker 2>told her, I hate that argument. We could end crime

0:35:10.750 --> 0:35:12.970
<v Speaker 2>today if we wanted to. We could put cameras everywhere

0:35:12.989 --> 0:35:15.149
<v Speaker 2>and end crime. So the fact that it solves some

0:35:15.190 --> 0:35:17.680
<v Speaker 2>crimes is not an argument to me. Right.

0:35:18.070 --> 0:35:18.320
<v Speaker 1>Right.

0:35:18.410 --> 0:35:18.589
<v Speaker 9>Yeah.

0:35:19.390 --> 0:35:23.430
<v Speaker 4>It's definitely one of the arguments in society, though. And

0:35:23.730 --> 0:35:26.030
<v Speaker 4>Eric actually makes the point that he's for the data centers.

0:35:26.070 --> 0:35:28.330
<v Speaker 4>We need the computing power. If we don't get it,

0:35:28.350 --> 0:35:30.410
<v Speaker 4>China will get it, and that would be terrible. And

0:35:30.450 --> 0:35:33.170
<v Speaker 4>he says, I'm for the flock cameras with reasonable restrictions.

0:35:33.610 --> 0:35:36.410
<v Speaker 4>Many municipalities are short of police officers. Our police are

0:35:36.450 --> 0:35:39.569
<v Speaker 4>stretched thin. Our population is in decline. Fewer people want

0:35:39.590 --> 0:35:42.900
<v Speaker 4>to become cops. We need supplementation. But support does not

0:35:42.940 --> 0:35:44.400
<v Speaker 4>mean without boundaries and limits.

0:35:44.460 --> 0:35:46.239
<v Speaker 2>We need both. But the cameras, I believe, do more

0:35:46.280 --> 0:35:50.120
<v Speaker 2>good than harm. I know you disagree with him. I do.

0:35:50.320 --> 0:35:52.040
<v Speaker 2>Over time, I think I will be right. I hope

0:35:52.060 --> 0:35:53.560
<v Speaker 2>I live long enough to be shown to be right.

0:35:53.739 --> 0:35:55.100
<v Speaker 2>I'd rather be wrong, but I think I'm right.

0:35:55.600 --> 0:35:58.009
<v Speaker 4>He goes into a little detail about why he supports

0:35:58.030 --> 0:36:00.650
<v Speaker 4>these two things with restrictions, but he says, I cannot

0:36:00.710 --> 0:36:02.930
<v Speaker 4>blame my neighbors for disagreeing with me. How on earth

0:36:03.050 --> 0:36:05.570
<v Speaker 4>could I? We're only five years removed from the police

0:36:05.610 --> 0:36:08.969
<v Speaker 4>arresting solo joggers and the government using police power to

0:36:09.010 --> 0:36:12.330
<v Speaker 4>shutter churches and small businesses. We witnessed the government use

0:36:12.350 --> 0:36:14.690
<v Speaker 4>a surveillance state to lock people in their homes. We

0:36:14.730 --> 0:36:17.290
<v Speaker 4>saw private businesses figure out that they could profit from

0:36:17.350 --> 0:36:21.520
<v Speaker 4>the police state. And the difference between fracking, oh, he

0:36:21.560 --> 0:36:24.520
<v Speaker 4>compares data centers to fracking, and that's a great comparison.

0:36:24.540 --> 0:36:25.420
<v Speaker 2>It absolutely is.

0:36:25.930 --> 0:36:30.230
<v Speaker 4>The scare campaign against fracking. The difference between fracking and

0:36:30.250 --> 0:36:32.069
<v Speaker 4>the data center was never the facts. It was the

0:36:32.150 --> 0:36:35.550
<v Speaker 4>messengers and their technology. The oilmen lived in the community.

0:36:35.610 --> 0:36:37.509
<v Speaker 4>They sat in the pews at the local church, sent

0:36:37.550 --> 0:36:38.790
<v Speaker 4>their kids to local schools, etc.

0:36:38.800 --> 0:36:38.880
<v Speaker 2>etc.

0:36:39.760 --> 0:36:43.239
<v Speaker 4>The AI executives are coastal creeps accountable to nobody, and

0:36:43.260 --> 0:36:46.680
<v Speaker 4>the local government courting them, sign nondisclosure agreements, do the

0:36:46.700 --> 0:36:49.399
<v Speaker 4>whole thing behind closed doors. When you negotiate in secret

0:36:49.420 --> 0:36:51.680
<v Speaker 4>with people who tell you they might enslave you or

0:36:51.719 --> 0:36:53.770
<v Speaker 4>at a minimum take your job and that of your child,

0:36:53.790 --> 0:36:55.990
<v Speaker 4>you have earned every bit of suspicion you get.

0:37:00.350 --> 0:37:04.620
<v Speaker 2>Will we build data centers or let China... get this

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<v Speaker 2>technology and be the leader in it? That's a big question. God,

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<v Speaker 2>we're in a rough spot.

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<v Speaker 1>Armstrong and Getty.