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Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George

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Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty arm.

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Speaker 2: Strong and Gatty and he Armstrong and Eddy.

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Speaker 3: So Lollipop Star is a lollipop where as you eat it,

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Speaker 3: you start hearing the music, and you enjoy music while

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Speaker 3: you're enjoying. A lollipop bank uses bone conduction technology, so

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Speaker 3: from the back of your mouth you'll start to feel

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Speaker 3: the different vibrations that go up into your ear.

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Speaker 1: The musical lollipop one of the worst in show winners

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Speaker 1: at the Consumer Electronics Show that just happened. We'll bring

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Speaker 1: you some of the other winners, stuff you wouldn't buy

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Speaker 1: in a one hundred years.

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Speaker 4: Coming up in a moment.

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Speaker 2: So, I've got those bone induction headphones. I really like them,

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Speaker 2: But this thing was supposed to the same technology with

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Speaker 2: a lollipop. So you hear like you. I love lollipops,

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Speaker 2: but if only I could hear musical I hate them.

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Speaker 1: I can find myself bored and entertained. Just a LABELSS

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Speaker 1: segment of the podcast. Jack enjoys a good bone induction.

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Speaker 4: Yes, Katie, apparently it causes up speak as well.

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Speaker 2: Yeah, a good pint like this. So here's a good

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Speaker 2: tease the Atlantic and this is probably a nine thousand

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Speaker 2: word piece. But too many people own dogs, which I

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Speaker 2: would agree with in general.

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Speaker 1: Stopped just short of the end of that sentence and

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Speaker 1: ask me for fifty guesses.

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Speaker 4: I don't think I would have gotten the dogs.

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Speaker 2: Too many people own dogs, the rise in anxiety among

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Speaker 2: American dog owners, and the idea is that anxious people

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Speaker 2: are causing dogs to be anxious, who then need meds

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Speaker 2: like their owners to deal with their anxiety. Oh lord,

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Speaker 2: more on that later.

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Speaker 4: Wow, Okay, I gotta shake that off, all right.

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Speaker 1: So your Worst in Show awards at the Consumer Electronics Show.

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Speaker 1: They're a variety of tech like review organizations and privacy

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Speaker 1: advocates that do these ratings. And why privacy advocates will

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Speaker 1: become clear in a minute. But the overall worst in

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Speaker 1: Show was the Samsung Bespoke AI Family Hub refrigerator. Samsung

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Speaker 1: invites users to speak to the refrigerator and command it

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Speaker 1: to open or close the door. It was too noisy

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Speaker 1: there and it wasn't working at the show, and you know,

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Speaker 1: I can forgive them for that, but that was just

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Speaker 1: part of the complication. Reliability concerns, so Samsung added to

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Speaker 1: an appliance that's supposed to have one job keeping food cold.

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Speaker 1: Everything is in order of magnitude more difficult using this fridge,

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Speaker 1: said one of the reviewers. It also uses computer vision

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Speaker 1: to track when food items are running low and can

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Speaker 1: show you advertisements for what you could buy to replace them.

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Speaker 1: Sour cream running low, why don't you try, you know,

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Speaker 1: at Lando Lake sour cream now with fifteen percent less

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Speaker 1: and whatever. I can you imagine your refrigerator showing you advertisements.

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Speaker 2: I give a little bit of leeway on this stuff

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Speaker 2: just because I've been really wrong in predicting what people

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Speaker 2: would want or what I would even want. There have

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Speaker 2: been a number of people things come along that I'd

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Speaker 2: have thought, who wants that? And then I love it?

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Speaker 2: So you know, they try lots of different stuff. I

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Speaker 2: don't need my refrigerator really to do anything other than

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Speaker 2: keep food cold.

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Speaker 4: I feel like I would agree.

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Speaker 1: Amazon's Doorbells once again ring privacy the alarms. An array

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Speaker 1: of new features for Amazon's ringing doorbell camera system won

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Speaker 1: the worst in Show for privacy, doubling down on privacy

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Speaker 1: invasion and supporting the misconception that more surveillance always makes

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Speaker 1: us safer. According to the executive director of the Electronic

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Speaker 1: Frontier Foundation, It's got all sorts of AI facial recognition,

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Speaker 1: includes mobile surveillance towers that can be deployed at parking

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Speaker 1: lots and other places. Includes an app store that's going

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Speaker 1: to let people develop you sketchy your apps for the

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Speaker 1: door than the ones Amazon already provides.

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Speaker 2: Here's two of my examples. One. I've mentioned this many times,

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Speaker 2: going way back to first time I ever saw our

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Speaker 2: old newsperson, Jamie Coffee texting. I thought, why would anybody

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Speaker 2: do that? Obviously I was wrong about that. For other

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Speaker 2: people and myself and self driving cars, I thought I'd

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Speaker 2: have no interest in that whatsoever. I was sinking today

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Speaker 2: as my car was driving me to work and I

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Speaker 2: was enjoying my coffee and doing other things, thinking this

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Speaker 2: is so awesome.

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Speaker 1: I never believed that I would have any interest in that.

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Speaker 1: Maybe that's not a take about these awards. It's a

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Speaker 1: take about you. I don't know, but well, you know

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Speaker 1: you're right though, that they trot these things out and

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Speaker 1: you don't know why you want them, and then they

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Speaker 1: improve great deal too down the road. Down the road,

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Speaker 1: how about the people's choice of worse products was an

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Speaker 1: AI companion called amy am I made by Chinese Companylepro,

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Speaker 1: which has a camera that's always on. It's your three

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Speaker 1: D soul mate for remote workers or lonely people.

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Speaker 4: It stares at you.

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Speaker 1: And tracks eye movements and other emotional signals like tone

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Speaker 1: of voice.

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Speaker 2: To do?

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Speaker 4: What is your companion to then do?

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Speaker 5: What?

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Speaker 2: Talk to you? It'll talk to you so like if

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Speaker 2: it picks up that you're you seem a little down? Yes, hey,

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Speaker 2: hey buddy, what's the problem?

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Speaker 4: Right? Do you want to talk? Do you need to talk?

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Speaker 2: It's a beautiful day. Life is good.

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Speaker 1: Keep in mind I'm Chinese Communist sponsored and my camera

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Speaker 1: is always always on, so let's talk. And then the

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Speaker 1: tech lollipop won the worst in show for the environment

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Speaker 1: because you're eating a lollipop.

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Speaker 2: Who was the venture capitalist you snoockered into this one?

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Speaker 2: Who's the guy who took a meeting and said, sure,

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Speaker 2: I'll cut you a check for two million dollars to

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Speaker 2: pursue this dream?

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Speaker 1: Well, because you bite the thing with your back teeth.

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Speaker 1: And then you hear various songs from what's the list?

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Speaker 1: From Ice, Spice and Acon, but the sticks can't be reach,

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Speaker 1: hurted or reused after the candy is gone, so you

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Speaker 1: just throw it in the battery in the trash after

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Speaker 1: the length of time it takes to eat a lollipop.

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Speaker 4: It's just not that great.

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Speaker 1: Oh and then AI power to chat bot fitness coach

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Speaker 1: that attach to your treadmill and like speeds it up

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Speaker 1: if you need to work harder in that sort of

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Speaker 1: thing anyway, And then they make the point that all

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Speaker 1: of this stuff makes everything harder to fix if it

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Speaker 1: goes south. Oh yeah, coffee maker, you're talking coffee maker,

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Speaker 1: your your e bike, whatever, It's just it's impossible.

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Speaker 2: That is legit. One of the reasons I don't want

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Speaker 2: complicated things is I think I don't need this, and

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Speaker 2: if it's on there, you know it's gonna end up

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Speaker 2: shutting down the lawnmower's ability to mow the lawn or

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Speaker 2: whatever it is. And that's all I want it for.

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Speaker 4: Yeah, I know.

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Speaker 1: I happen to have a very very smart car. It's

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Speaker 1: a nice car. I like it, but it's got this

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Speaker 1: like awesome computer brain that can do everything. No, just

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Speaker 1: just turn the wheels and then when I hit the brake,

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Speaker 1: stop it. So I don't get killed. I don't need

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Speaker 1: you to be the be all and end all. Anyway,

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Speaker 1: moving along, keeping things on the light side. I love

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Speaker 1: this story. Us offered Putin's closest ally sanctions relief and

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Speaker 1: a weight loss drug. The Trump administration reaching out to

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Speaker 1: the bella Russian dictator what's his face, Alexander Lukashenko.

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Speaker 4: And turned to him with a personal question. Have you

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Speaker 4: lost weight?

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Speaker 1: Yes, replied the veteran litigator who represented Donald Trump and

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Speaker 1: John Cole. The emissary guy said yeah, we've 've zepp bound.

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Speaker 1: It's unbelievably effective. Here's a brochure for the manufacturer. We

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Speaker 1: can get you zep bound if you want to help

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Speaker 1: you lose weight. Because this Lukashenko's a big old boy.

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Speaker 1: I mean, he's huge, and he really bonded with the

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Speaker 1: emissary guy who's who gave him the weight loss drug,

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Speaker 1: and now talks are open and evidently they have a

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Speaker 1: great relationship.

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Speaker 5: I don't know.

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Speaker 1: Lukashenko has referred to himself as the last and only

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Speaker 1: dictator in Europe.

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Speaker 2: That's something something to be proud of. Since you brought

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Speaker 2: up weight loss on CBS. Right now, Oprah shares weight

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Speaker 2: journey and personal new book. How many times has Oprah

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Speaker 2: played that card and successfully? It would seem in my

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Speaker 2: life a dozen times. She'll get fat, stay fat for

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Speaker 2: a couple of years, lose weight, then come up with

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Speaker 2: a new product or book or whatever, and make a

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Speaker 2: couple of million dollars off of how I lost weight

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Speaker 2: this time when I got fat, and then she then

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Speaker 2: she gets fat again, and then she writes another book

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Speaker 2: or promotes a different product. This is one of the

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Speaker 2: most clever that she's a genius. She She's been writing

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Speaker 2: this for like thirty years or more.

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Speaker 1: She's like an NFL offensive lineman who intentionally gains weight

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Speaker 1: for the football season and then profits from him.

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Speaker 2: Wow, and you continue to be interested in her weight

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Speaker 2: journey just doesn't matter how many times?

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Speaker 4: Okay, a couple more wacky doodle headline.

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Speaker 1: Donald Trump may have accidentally pardoned the January sixth pipe

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Speaker 1: bomber guy. You remember that probably autistic guy who lives

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Speaker 1: at home with his parents in suburban Virginia or Maryland

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Speaker 1: whatever it is, erle bomb both the DNC and RNC. Yeah,

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Speaker 1: the Erka looking guy. Well, Trump commuted the sentences of

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Speaker 1: fourteen individuals the January sixth stuff and also granted quote

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Speaker 1: a full, complete and unconditional pardon to all other individuals

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Speaker 1: convicted of offenses related to events that occurred at or

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Speaker 1: near the United States Capital on January sixth, twenty twenty one,

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Speaker 1: which would seem to include the pipe bomber.

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Speaker 4: And the intent of a pardon doesn't matter.

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Speaker 1: All that matters is the text, according to attorneys.

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Speaker 2: Are they are there do overs or takebacks on those.

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Speaker 4: Unpardons?

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Speaker 2: Yeah? Can you do that?

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Speaker 4: I don't know.

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Speaker 2: That's an interesting Sorry, didn't mean that.

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Speaker 1: I would guess not having pardoned somebody, can you carve

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Speaker 1: them out and uh unpardon them?

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Speaker 4: I doubt it. I doubt it.

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Speaker 2: I'm going to write a quickie book, my weight Journey.

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Speaker 2: I lost all discipline, ate a bunch of pie and

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Speaker 2: stuff and got fat, and then I realized it, and

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Speaker 2: then I stopped eating all that stuff and loss some weight.

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Speaker 1: That's not a very good book. You splash it out

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Speaker 1: a little bit of short for one thing.

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Speaker 2: Yet fill it in with something else, childhood trauma or

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Speaker 2: or the patriarchy or something.

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Speaker 1: Jack's two page book, and then there's one hundred and

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Speaker 1: ninety eight pages.

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Speaker 4: That says notes, Do you want to make some notes right.

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Speaker 1: Final headline thief snatched beloved walrus penis from Fame to

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Speaker 1: New Jersey restaurant Donkey's Place and owner needs help getting

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Speaker 1: it back.

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Speaker 2: Beloved.

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Speaker 1: A thief snatched a beloved antique walrus penis bone from

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Speaker 1: behind the bar at the frame Famed can the New

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Speaker 1: Jersey Cheese Steak joined Donkey's Place, and staffers are a

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Speaker 1: blubbering Matt, that's a I think that's a Walrus joke, blubbering.

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Speaker 2: Wow.

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Speaker 1: Some dude went behind the bar and just stole it.

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Speaker 1: They've got his picture and they put the word on

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Speaker 1: the street see if they can bring him down. On

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Speaker 1: January thirtieth, a group of three men who had been

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Speaker 1: quote drinking for hours asked to see the artifact, and

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Speaker 1: then one of them bolted with it. According to the

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Speaker 1: bartender involved, it must mean December thirtieth anyway.

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Speaker 2: So I'm looking at the live Supreme Court arguments as

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Speaker 2: they go, and Clarence Thomas is getting into, you know,

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Speaker 2: the specifics of boys competing in girls' sports, and why

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Speaker 2: don't they why don't these people compete in the with

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Speaker 2: the girls, and that sort of thing. So the rubbers

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Speaker 2: meeting the road in the Supreme Court Oral Arguments day.

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Speaker 4: I think they might have to go full Matt Walsh. Okay,

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Speaker 4: what's a woman?

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Speaker 2: Wow?

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Speaker 4: What's a girl?

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Speaker 2: You say?

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Speaker 1: Anybody he declares themselves as a girl, as a girl.

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Speaker 1: I don't think that's right. They You know, you don't

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Speaker 1: need to get all complicated with this topic. That's what

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Speaker 1: the activists want. They drag you into the weeds with

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Speaker 1: all their terms and their rhetoric and their theories, hoping

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Speaker 1: you'll become confused and exhausted.

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Speaker 4: It's not complicated.

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Speaker 2: And are the progressive justices going to be able to

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Speaker 2: look at this in a rational, scientific way or are

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Speaker 2: they going to feel beholden to a certain crowd to

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Speaker 2: pretend certain things, which is the way it's been for

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Speaker 2: the last half dozen years for a lot.

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Speaker 4: I guess I think you could guess what my guess is.

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Speaker 2: Okay, Well, if anything jazzy happens in that will have

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Speaker 2: the audio for you, and lots of other stuff on

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Speaker 2: the way stare.

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Speaker 5: Thank you, cousus Thomas.

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Speaker 4: That's is leedom under title mind, what does the term

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Speaker 4: sex mean?

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Speaker 5: We think it's probably interpreted pursuing to its ordinary traditional

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Speaker 5: definition of biological sex and I think probably, given the

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Speaker 5: time it was enacted, reproductive biology is probably the best

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Speaker 5: way of understanding that.

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Speaker 2: Thank you. Just one little clip from the oral arguments today,

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Speaker 2: getting into the whole trans thing. Whether or not people

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Speaker 2: are by boys deciding they are girls can compete in

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Speaker 2: girls sports in high school, that's the question.

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Speaker 4: And more specifically, can states say no you can't?

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Speaker 5: Right?

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Speaker 2: Yeah, yeah, yeah, More specifically that yeah, same question. So

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Speaker 2: more on that later. We've got some longer clips. I

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Speaker 2: think it's gonna be a danged interesting conversation, and unlike

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Speaker 2: a lot of Supreme Court arguments, I don't think it'll

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Speaker 2: be that difficult to follow. I don't think some.

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Speaker 4: Of it will be. Some of it won't be.

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Speaker 1: I've been reading some of the transcripts and they're getting

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Speaker 1: into various questions of intermediate scrutiny and strict scrutiny and

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Speaker 1: that sort of thing, right, not of the genitals, but of.

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Speaker 4: The law breakin lawyers, strict scrutiny of your genitals.

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Speaker 2: So I thought this was interesting. Donald Trump sat down

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Speaker 2: with the New York Times the other day did a

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Speaker 2: two hour interview, wide ranging lots topics. They're letting it

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Speaker 2: out drip by drip over a couple of weeks. This

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Speaker 2: got no attention yesterday because, of course it didn't. New

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Speaker 2: York Times. Do you think there's room within the Republican coalition,

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Speaker 2: the Make America Great movement for people with anti Semitic views? Trump? No,

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Speaker 2: I don't. I think we don't need them. I think

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Speaker 2: we don't like them. New York Times. Do you condemn

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Speaker 2: those views, Trump said, certainly? New York Times. Do you

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Speaker 2: think leaders of the Republican Party should condemn figures who

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Speaker 2: espouse anti Semitism? Trump? From my own personal standpoint, absolutely,

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Speaker 2: because I condemn I have a daughter who's married to

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Speaker 2: a Jewish person. My daughter happens to be Jewish, beautiful

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Speaker 2: three grandchildren are Jewish. I'm very proud of them, very

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Speaker 2: proud of that whole that whole family. I am the

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Speaker 2: least antisemitic person probably there is anywhere in the world,

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Speaker 2: which of course is a Trump thing to say. But

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Speaker 2: I got no news coverage, of course. I mean, you

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Speaker 2: can't more. I mean there's no hemming and haueing, there's

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Speaker 2: no dodging the issue, there's no trying to have it

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Speaker 2: two ways. There just don't want them in the party,

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Speaker 2: don't like them they shouldn't be in the party.

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Speaker 1: And then he had foaming at the mouth anti semi

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Speaker 1: Tucker Carlson to dinner at the White House the other day.

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Speaker 2: To advise on what. What were they? I think they

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Speaker 2: Iran the situation. I think that's what Tucker was there for.

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Speaker 1: What what Remember, it's to keep the Tucker part of

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Speaker 1: the coalition loyal.

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Speaker 4: That's it.

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Speaker 2: Remember when Tucker talked to Ted Cruz and said how

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Speaker 2: many people live in Iran? And Ted said, I don't know.

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Speaker 2: You tell me we're about to go to war with

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Speaker 2: the country and you don't know how many people live there.

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Speaker 4: Yeah, that whole very helpful. Yeah, yeah, very helpful. Wow.

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Speaker 2: Remember the reason Joe Biden got in the race was

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Speaker 2: those veins bulging. They're in Charlottesville, the Republican Party and

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Speaker 2: it's anti Semitism. The Democratic Party is full of anti Semitism.

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Speaker 2: They're out and proud about it. They say it out

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Speaker 2: loud every single day.

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Speaker 4: Yeah, there was a march. This got no coverage.

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Speaker 1: That the hippocrisy of the media is so flaming and

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Speaker 1: obvious and stupid. I hate to I'm tired of even

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Speaker 1: pointing it out. There was a big March. The other day,

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Speaker 1: a bunch of people marched on a school, a Jewish

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Speaker 1: school in New York City, channing we support Hamas, we

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Speaker 1: support Hamas.

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Speaker 4: Where's that headline?

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Speaker 1: Anti Israel protesters descend on New York City synagogue Jewish

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Speaker 1: school while shouting we support hamas is in the New

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Speaker 1: York Post. Can you imagine we support the Klan, we

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Speaker 1: support the clan outside of a traditionally black college university.

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Speaker 1: Every publication, every news site in the nation would be

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Speaker 1: leading with that all day long. But you can just

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Speaker 1: chant outside of a synagogue and a Jewish school, essentially

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Speaker 1: saying death to Jews, and the New York Times is

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Speaker 1: fine with it.

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Speaker 2: Apparently, we'll get law professor in here and break down

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Speaker 2: direction scrutiny versus strict scrutiny versus interbeat and scrutiny. No,

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Speaker 2: we won't. Actually we get into some of the news

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Speaker 2: of the day, and if anything exciting comes out about

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Speaker 2: the trans athlete case before the Supreme Courtney oral arguments

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Speaker 2: will bring you that. I hope you can stick around.

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Speaker 2: If you miss a segment, get the podcast Armstrong and

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Speaker 2: Getty on.

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Speaker 4: Demand Armstrong and Getty.

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Speaker 1: So if you actually get into the science of men

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Speaker 1: versus women athletically speaking, and boys versus girls, as it's

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Speaker 1: indisputable what the truth is, which is why they keep

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Speaker 1: coming the progressives with silly arguments like, well, what if

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Speaker 1: a transgender male was super weak and weedy and was

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Speaker 1: not as good as girls? Well, that doesn't you know,

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Speaker 1: that doesn't change the greater question. And even little kids

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Speaker 1: who've not gone through puberty, the change or the difference

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Speaker 1: rather is it's striking. I mean, I've got statistics in

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Speaker 1: front of me about speed and endurance and weight and

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Speaker 1: that sort of thing. But as a guy's coached girls

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Speaker 1: and boy sports at every level, these speed and violence

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Speaker 1: of boy sports is so much more than girls. It's

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Speaker 1: just it's it's a ridiculous question to even be asking,

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Speaker 1: and it's especially from the perspective of like human beings

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Speaker 1: fifteen years ago. It's bizarre that we're even asking the

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Speaker 1: question or acting like it's a difficult answer.

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Speaker 4: I'm mystified. Anyway, the soups, I hope, are.

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Speaker 1: Going to give some sort of substantive ruling that that

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Speaker 1: lets us know where we are, and not a quote

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Speaker 1: unquote narrow ruling, but we shall see.

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Speaker 2: I want a blow what a blow it would be

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Speaker 2: if they decided no, states can't ban this. WHOA would

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Speaker 2: that set us back?

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Speaker 4: Yeah? That would be horrifying.

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Speaker 2: I don't think that likely.

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Speaker 1: No, No, And I think the popular uprising against that

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Speaker 1: would be probably ugly and unfortunate, but but notable.

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Speaker 2: Two different polls I saw both on a Fox and

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Speaker 2: newse Nation, two different polls had it a seventy thirty

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Speaker 2: issue of where people are, and I got it. I really, really,

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Speaker 2: honestly believe it's more. It's more than that if people

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Speaker 2: felt like they had to cover to the cover politically

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Speaker 2: or emotionally morally to say out loud no, and boys

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Speaker 2: shouldn't be playing girls sports. So it's seventy thirty at

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Speaker 2: the least, right right.

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Speaker 1: And then you've got the people that view things through

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Speaker 1: the lens not of is this true, but whether I

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Speaker 1: will be rewarded for saying it's true.

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Speaker 4: They look at it through the conformity lenses, suppose the.

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Speaker 1: Truth lens, and they're always going to go with what

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Speaker 1: they perceive is what they're supposed to say.

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Speaker 4: But they can switch on a dime.

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Speaker 2: Though. For our lawyer friends, I suppose whose heads may

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Speaker 2: explode when we say things like this. The Supreme Court

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Speaker 2: is not supposed to go by polling. It's not majority

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Speaker 2: rule of what. You know, if a majority of people

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Speaker 2: thought slavery was good, the Supreme Court shouldn't make a

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Speaker 2: rule of space that way.

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Speaker 1: Yeah, I was just talking about the probable, you know,

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Speaker 1: result among the the people. If the Supreme Court were

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Speaker 1: to go the wrong way on this issue and you

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Speaker 1: had boys invading women's girls' sports all over America because

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Speaker 1: activist groups could get him in, there's no way to

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Speaker 1: stop it.

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Speaker 4: That the people will go nuts.

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Speaker 2: So this is kind of a topic for our crowd.

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Speaker 2: So let me read what it has in the Washington

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Speaker 2: Post right now, and what you think of this. Joe

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Speaker 2: Scott Adams, the creator of the comic strip Dilbert, which

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Speaker 2: poked fun at corporate jargon and managerial ineptitude, has died.

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Speaker 2: We mentioned that he died earlier. Adams drew criticism after

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Speaker 2: he veered into far right political terrain. You think he

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Speaker 2: was far right?

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Speaker 1: The term far right is so lazy because it really

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Speaker 1: just describes anything lefties don't like. They would never say

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Speaker 1: far left about somebody equally far from the center on

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Speaker 1: the left, Like every single person on the Golden Globes

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Speaker 1: the other night for its right or practically everybody writes

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Speaker 1: for the Washington Post. But right, yeah, that was one

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Speaker 1: of the things that interesting about scott On.

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Speaker 2: But it helps to be rich. He had to be

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Speaker 2: ungodly rich after the success of Dilbert, I would think

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Speaker 2: so God, I remember March alone. I remember for a

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Speaker 2: long time in our family, like Dilbert calendars and stuff

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Speaker 2: like that were a regular go to Christmas gift. Gilbert

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Speaker 2: one of the great comic strips of all time, no

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Speaker 2: doubt for him to stick his neck out into a

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Speaker 2: wade into politics and know that he was gonna, you know,

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Speaker 2: make a lot of people angry as opposed to.

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Speaker 4: Just stay out of it.

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Speaker 2: Yeah, yeah, helps to be wealthy though again.

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Speaker 4: Uh yeah, yeah, it does honestly.

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Speaker 2: Oh sure, you know. The worst that can happen to

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Speaker 2: you is some people don't like me anymore. But I

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Speaker 2: still live in a giant house or homes several homes,

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Speaker 2: and I'm gonna be fine for the rest of my life.

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Speaker 1: You don't have to worry about getting fired from your

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Speaker 1: job per se. If you have enough money then it

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Speaker 1: doesn't matter. But yeah, he was he was an interesting guy.

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Speaker 1: As I said earlier, I disagreed with them semi regularly.

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Speaker 1: I thought he was a little out there. Yeah I

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Speaker 1: did too, but I would often see that he disagreed

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Speaker 1: with me, and thank, okay, let me take a look

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Speaker 1: at his argument and see if there's anything to it.

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Speaker 2: That whole mocking corporate culture at a time that you know,

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Speaker 2: white collar work was really becoming more of the norm,

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Speaker 2: and when did it start the early nineties when Dilbert

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Speaker 2: took off. But just brilliant, genius stuff. I mean, the commentary,

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Speaker 2: the guy having a bent tie. I don't know why,

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Speaker 2: but that's just so good.

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Speaker 1: Well, and the way he would identify different types of

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Speaker 1: people around the office. Yes, yes, you know, the ass

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Speaker 1: kisser and the mean gal and the idiot boss.

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Speaker 2: And then yeah, mostly the managerial bureaucracy nonsense that you

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Speaker 2: have to deal with all the time in the corporate setting.

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00:22:46,400 --> 00:22:47,920
Speaker 2: So who is the little guy?

441
00:22:47,960 --> 00:22:51,840
Speaker 1: Who is the even more beat down and cynical guy. Anyway,

442
00:22:52,280 --> 00:22:55,720
Speaker 1: I got to reread some Dilbert, but yeah, yeah.

443
00:22:55,560 --> 00:22:56,120
Speaker 5: Just yeah.

444
00:22:56,160 --> 00:22:58,480
Speaker 1: I hate the term far right because number one, it's lazy,

445
00:22:58,520 --> 00:23:01,640
Speaker 1: and it describes things that are very conservative, very trumpy,

446
00:23:01,920 --> 00:23:05,639
Speaker 1: sometimes insane and with your horseshoe theory. A lot of

447
00:23:05,640 --> 00:23:08,119
Speaker 1: the times, the wacked doodles on the right agree with

448
00:23:08,119 --> 00:23:09,440
Speaker 1: the wacked doodles on the left.

449
00:23:09,480 --> 00:23:11,399
Speaker 4: So where does that leave us? And yeah, I don't know.

450
00:23:11,640 --> 00:23:15,800
Speaker 2: Wow, they got Marjorie Taylor Green live on CNN commenting

451
00:23:15,840 --> 00:23:18,960
Speaker 2: on the Supreme Court case or something. She is now

452
00:23:19,000 --> 00:23:21,800
Speaker 2: a hero of the left because she took on Trump

453
00:23:22,119 --> 00:23:25,959
Speaker 2: least line, bad built Bush. Body, you want to make money,

454
00:23:26,200 --> 00:23:28,240
Speaker 2: the easiest way to make money is if you can

455
00:23:28,280 --> 00:23:32,920
Speaker 2: get some sort of traction as a conservative and then

456
00:23:33,200 --> 00:23:35,879
Speaker 2: flip and go against them. That's the easiest money in

457
00:23:35,920 --> 00:23:38,280
Speaker 2: the world. And get a job on CNN or MSNBC

458
00:23:38,440 --> 00:23:40,800
Speaker 2: or Right Pieces or whatever. That is the thing. So

459
00:23:40,880 --> 00:23:44,480
Speaker 2: become known as a conservative and then go against George W.

460
00:23:44,640 --> 00:23:49,080
Speaker 2: Bush like Nicole Wallace did, or Trump or whatever. And man,

461
00:23:49,119 --> 00:23:51,080
Speaker 2: they will, just they will. It doesn't matter that they

462
00:23:51,080 --> 00:23:53,800
Speaker 2: hate everything you believe in and have believed in your

463
00:23:53,960 --> 00:23:56,360
Speaker 2: entire life. They will welcome you with open arms, give

464
00:23:56,400 --> 00:23:58,360
Speaker 2: you a show, put you in a limo to bring

465
00:23:58,359 --> 00:24:01,160
Speaker 2: you to the studio to bad mouth Republicans.

466
00:24:01,359 --> 00:24:03,879
Speaker 4: And everyone knows it, everyone does know that.

467
00:24:04,200 --> 00:24:06,800
Speaker 1: Slander you brutally for fifteen years and then the moment

468
00:24:06,840 --> 00:24:10,320
Speaker 1: you flip, you're a honored guest, and we're so glad

469
00:24:10,320 --> 00:24:11,280
Speaker 1: to have on the area.

470
00:24:11,640 --> 00:24:12,840
Speaker 4: It's just ridiculous.

471
00:24:13,440 --> 00:24:15,600
Speaker 1: So, speaking of things that are going to annoy people,

472
00:24:16,119 --> 00:24:20,159
Speaker 1: this was predicted and sure enough it's happening. America's AI

473
00:24:20,320 --> 00:24:23,560
Speaker 1: boom is pushing power grids to the brink of a

474
00:24:23,600 --> 00:24:30,480
Speaker 1: supply crisis and raising normal Americans electric rates. They're looking

475
00:24:30,520 --> 00:24:33,800
Speaker 1: at the biggest power grid in the country, that is

476
00:24:33,960 --> 00:24:39,600
Speaker 1: the Thirteen State Grid. PJM runs it. It's a nonprofit

477
00:24:40,160 --> 00:24:44,800
Speaker 1: stretches from New Jersey to Kentucky. Sixty seven million people

478
00:24:44,880 --> 00:24:50,159
Speaker 1: in the region get their power from PJM. So to

479
00:24:50,200 --> 00:24:53,560
Speaker 1: do many data centers AI data centers springing up in

480
00:24:53,640 --> 00:24:57,639
Speaker 1: Northern Virginia's Data Center Alley, and they have a bottomless

481
00:24:57,680 --> 00:25:01,120
Speaker 1: appetite for electricity and rates are going up for consumers.

482
00:25:03,119 --> 00:25:06,119
Speaker 1: PGM expects power demand to grow about five percent a

483
00:25:06,200 --> 00:25:09,480
Speaker 1: year on average for the next decade, an astonishing pace

484
00:25:09,520 --> 00:25:11,920
Speaker 1: for a system that has not had this substantial growth

485
00:25:11,960 --> 00:25:13,960
Speaker 1: demand in years.

486
00:25:15,080 --> 00:25:18,679
Speaker 2: Now. Elon and Zuckerberg, among others, I'm sure Altman knows this,

487
00:25:19,280 --> 00:25:21,920
Speaker 2: realize this is a problem, and that's why they're throwing

488
00:25:21,960 --> 00:25:26,240
Speaker 2: billions into creating their own power sources. Elon's spending billions

489
00:25:26,280 --> 00:25:28,640
Speaker 2: of dollars to build a big power plant, the sort

490
00:25:28,640 --> 00:25:31,440
Speaker 2: of thing that we used to only build a run

491
00:25:31,520 --> 00:25:33,600
Speaker 2: cities is going to build a run his AI. But

492
00:25:33,640 --> 00:25:35,520
Speaker 2: it's funny how this doesn't get more conversation.

493
00:25:36,720 --> 00:25:40,000
Speaker 1: Yeah, they think they experts in this sort of thing.

494
00:25:40,040 --> 00:25:43,440
Speaker 1: Thinks you think us power demand in the year twenty

495
00:25:43,480 --> 00:25:46,080
Speaker 1: thirty will be twenty five percent higher than.

496
00:25:45,920 --> 00:25:47,040
Speaker 4: It was a couple of years ago?

497
00:25:47,480 --> 00:25:49,840
Speaker 2: Only four percent?

498
00:25:50,240 --> 00:25:50,760
Speaker 4: Wow?

499
00:25:51,640 --> 00:25:55,640
Speaker 1: And how many times have we heard, friends, especially cal Unicornians,

500
00:25:55,960 --> 00:25:58,920
Speaker 1: the power grid is stretched to the limit, it's on

501
00:25:58,960 --> 00:26:02,280
Speaker 1: the brink. How's it gonna take another twenty five percent?

502
00:26:02,520 --> 00:26:03,760
Speaker 1: With windmills?

503
00:26:03,960 --> 00:26:07,159
Speaker 4: Sorry, darling, no TV tonight. The wind isn't blowing.

504
00:26:07,520 --> 00:26:09,639
Speaker 2: And that's with electric cars on the Wayne, if they

505
00:26:09,680 --> 00:26:11,760
Speaker 2: had taken off. That was one of the big questions

506
00:26:11,800 --> 00:26:14,240
Speaker 2: always where's the electricity gonna come from?

507
00:26:15,720 --> 00:26:21,399
Speaker 4: Yeah, yeah, gonna burn spotted owls? Uh yeah, okay.

508
00:26:21,640 --> 00:26:24,000
Speaker 1: Well, and you know, people, this is all abstract until

509
00:26:24,000 --> 00:26:26,560
Speaker 1: you see your energy bill go up more and more

510
00:26:26,600 --> 00:26:31,160
Speaker 1: and more. Right again, cal Nitonians are kind of used

511
00:26:31,200 --> 00:26:32,000
Speaker 1: to that already.

512
00:26:32,160 --> 00:26:34,399
Speaker 2: It's brutal, but it's coming whether you like it or not.

513
00:26:34,520 --> 00:26:36,640
Speaker 2: But I could see why a person might be angry

514
00:26:36,720 --> 00:26:40,679
Speaker 2: at so my electric bill's higher because we need to

515
00:26:40,720 --> 00:26:45,640
Speaker 2: have AI, which is also taking my job. Hmm, I'm

516
00:26:45,680 --> 00:26:46,959
Speaker 2: not sure I'm the winner in this.

517
00:26:48,440 --> 00:26:53,080
Speaker 1: Yeah, no kidding. So I'm huddled unemployed in the cold

518
00:26:53,240 --> 00:26:57,560
Speaker 1: with the lights out. Yay AI Yay. It's a real advancement.

519
00:26:59,200 --> 00:27:02,199
Speaker 1: Now I can like Google stuff even better. What a

520
00:27:02,280 --> 00:27:07,359
Speaker 1: time to be alive. Yeah, maybe you could hit it

521
00:27:07,680 --> 00:27:10,760
Speaker 1: up a rock with When I die of the cold,

522
00:27:10,840 --> 00:27:12,040
Speaker 1: who gets my stuff?

523
00:27:12,640 --> 00:27:14,280
Speaker 4: I don't know that sort of thing.

524
00:27:14,400 --> 00:27:18,760
Speaker 2: They need to sell AI better at some point, don't

525
00:27:18,800 --> 00:27:21,359
Speaker 2: they to people on how this is going to benefit you?

526
00:27:22,359 --> 00:27:27,200
Speaker 2: What are the supposed upsides? Are all fantasy and haven't

527
00:27:27,200 --> 00:27:28,840
Speaker 2: been worked out with the government at all.

528
00:27:29,520 --> 00:27:32,879
Speaker 1: Everybody can become a poet and not rook anymore. Webenucky,

529
00:27:33,000 --> 00:27:33,800
Speaker 1: sucky poet.

530
00:27:34,040 --> 00:27:38,040
Speaker 2: But that jump from AI is going to make us,

531
00:27:38,200 --> 00:27:40,680
Speaker 2: you know, ten times more productive as a country to

532
00:27:41,359 --> 00:27:45,679
Speaker 2: we're gonna get checks from somewhere that all everything in

533
00:27:45,720 --> 00:27:48,560
Speaker 2: between there hasn't been worked out at all. We'll all

534
00:27:48,600 --> 00:27:51,679
Speaker 2: share the wealth from So who's getting the money and

535
00:27:51,720 --> 00:27:54,479
Speaker 2: then doling it out? What age? Is it a government

536
00:27:54,560 --> 00:27:57,120
Speaker 2: or private sector. Who's sending me checks to live off

537
00:27:57,119 --> 00:27:59,080
Speaker 2: of when AI takes everybody's jobs.

538
00:27:59,040 --> 00:28:02,080
Speaker 1: The two to three companies that get all the revenue

539
00:28:02,119 --> 00:28:05,040
Speaker 1: of the economy and they only send you checks. So

540
00:28:05,520 --> 00:28:11,399
Speaker 1: there's not a revolution. It's not a very tenable system.

541
00:28:12,119 --> 00:28:14,560
Speaker 2: Uh Joe was hearkening back to this, By the way.

542
00:28:14,680 --> 00:28:20,760
Speaker 4: You'd be doing wind windmills, and if it doesn't if

543
00:28:20,800 --> 00:28:24,720
Speaker 4: it doesn't blow, you can forget about television.

544
00:28:24,200 --> 00:28:24,800
Speaker 2: For that night.

545
00:28:27,000 --> 00:28:30,000
Speaker 4: Darling, I want to watch television. I'm sorry, the wind

546
00:28:30,080 --> 00:28:33,280
Speaker 4: isn't blowing. I know a lot about wind.

547
00:28:35,000 --> 00:28:37,480
Speaker 2: He always has the throwing I'm the least anti Semitic

548
00:28:37,560 --> 00:28:40,080
Speaker 2: person on Earth. I know more about wind than most people.

549
00:28:40,240 --> 00:28:41,920
Speaker 2: As a funny tick, he's got.

550
00:28:42,160 --> 00:28:44,000
Speaker 4: You know what struck me about that clip is he

551
00:28:44,080 --> 00:28:44,920
Speaker 4: sounds older now?

552
00:28:45,320 --> 00:28:47,240
Speaker 2: Oh yeah, well he isn't.

553
00:28:47,480 --> 00:28:50,840
Speaker 1: Yeah, it's a good point, and there's probably a correlation there.

554
00:28:50,960 --> 00:28:53,120
Speaker 2: Age happens. And he's got three years to go as

555
00:28:53,200 --> 00:28:57,840
Speaker 2: oh yeah, we're seven days away, you'll have three years

556
00:28:57,880 --> 00:28:59,800
Speaker 2: from there. We've only had one year of this.

557
00:29:00,560 --> 00:29:01,480
Speaker 4: Not sure I got it in me.

558
00:29:01,640 --> 00:29:03,520
Speaker 2: I'm not sure. I'm not sure he's got it into him.

559
00:29:03,920 --> 00:29:06,960
Speaker 2: We'll see. We got other stuff on the way. We're

560
00:29:07,000 --> 00:29:08,760
Speaker 2: keeping an eye on the oral arguments of the Supreme

561
00:29:08,800 --> 00:29:10,040
Speaker 2: Court and other things coming up.

562
00:29:10,080 --> 00:29:10,440
Speaker 4: Stated.

563
00:29:12,120 --> 00:29:18,000
Speaker 2: Here's an interception for good measure. It's picked off, but

564
00:29:18,280 --> 00:29:22,160
Speaker 2: pull off and Rogers is in his way trying to

565
00:29:22,200 --> 00:29:27,600
Speaker 2: make the tackle, can't and it's a touchdown Texans. And

566
00:29:27,680 --> 00:29:30,080
Speaker 2: I don't think he tried too hard. Aaron Rodgers. Perhaps

567
00:29:30,160 --> 00:29:32,000
Speaker 2: his last pass was an interception. One of the great

568
00:29:32,080 --> 00:29:35,760
Speaker 2: quarterbacks of all time. Green Bay Packer Hall of Famer

569
00:29:36,120 --> 00:29:38,360
Speaker 2: playing for the Steelers last night, lost to the Texans.

570
00:29:38,400 --> 00:29:40,760
Speaker 2: Texans move on in the playoffs. Aaron Rodgers. A guy

571
00:29:40,920 --> 00:29:44,640
Speaker 2: is in his forty whatever looks miserable. He looks miserable

572
00:29:44,680 --> 00:29:46,920
Speaker 2: all the time. He seems angry and miserable always. What

573
00:29:46,920 --> 00:29:49,040
Speaker 2: are you enjoying about this? He got more money than God.

574
00:29:49,200 --> 00:29:50,240
Speaker 2: You should retire, dude.

575
00:29:51,440 --> 00:29:54,720
Speaker 1: He seems like a guy who's realized exactly that he

576
00:29:54,720 --> 00:29:58,280
Speaker 1: should have retired. You're right, because every shot of him,

577
00:29:58,280 --> 00:29:59,120
Speaker 1: he's pissed off.

578
00:30:00,120 --> 00:30:02,320
Speaker 2: Unhappy with the coaches and the players and the fans,

579
00:30:02,360 --> 00:30:04,600
Speaker 2: and vaccines in the state of.

580
00:30:04,520 --> 00:30:06,160
Speaker 4: The world and the vaccines.

581
00:30:06,240 --> 00:30:06,440
Speaker 1: Right.

582
00:30:07,840 --> 00:30:11,000
Speaker 2: This is kind of interesting. This is from the Portland Airport.

583
00:30:11,320 --> 00:30:14,320
Speaker 2: I'm sure, it's true at all airports, and even bigger

584
00:30:14,400 --> 00:30:18,440
Speaker 2: numbers at bigger airports. The headline sixteen hundred wallets, eight

585
00:30:18,520 --> 00:30:22,560
Speaker 2: hundred phones, and one special labuoboo inside Portland Airports lost

586
00:30:22,600 --> 00:30:25,360
Speaker 2: and found. There is a lost and found at the airports,

587
00:30:25,480 --> 00:30:28,959
Speaker 2: obviously there is, and if you lose something there, that's

588
00:30:28,960 --> 00:30:30,680
Speaker 2: where you go to find it. In twenty twenty five,

589
00:30:30,760 --> 00:30:34,840
Speaker 2: the Portland Airport Lost and Found logged a total of

590
00:30:34,920 --> 00:30:39,320
Speaker 2: twenty one thousand, five hundred items in one year that

591
00:30:39,360 --> 00:30:40,680
Speaker 2: were lost at the airport.

592
00:30:41,000 --> 00:30:44,160
Speaker 4: That seems like a lot. It's good airport. By the way,

593
00:30:44,960 --> 00:30:46,800
Speaker 4: I really like the Portland Airport.

594
00:30:46,480 --> 00:30:51,400
Speaker 2: That included I almost lost my cell phone recently. I'm

595
00:30:51,480 --> 00:30:53,760
Speaker 2: so lucky. This would have ruined our trip. We had

596
00:30:53,800 --> 00:30:56,320
Speaker 2: just gone through security somehow I left my cell phone

597
00:30:56,520 --> 00:31:01,160
Speaker 2: behind in the basket or something, and and we're headed

598
00:31:01,160 --> 00:31:05,040
Speaker 2: to our gate and Sam says, hey, this guy ran

599
00:31:05,120 --> 00:31:06,320
Speaker 2: up to me and said, I think this is your

600
00:31:06,360 --> 00:31:09,480
Speaker 2: dad's cell phone. Holy crap. That would have end. We

601
00:31:09,520 --> 00:31:11,640
Speaker 2: wouldn't have gone on a trip because my tickets are

602
00:31:11,640 --> 00:31:13,400
Speaker 2: in there, and you know everything's in there.

603
00:31:13,840 --> 00:31:15,520
Speaker 4: Oh yeah, all your arrangements.

604
00:31:15,640 --> 00:31:17,360
Speaker 2: I certainly wouldn't have figured out the ticket thing in

605
00:31:17,400 --> 00:31:20,960
Speaker 2: time for the flight. Anyway, I'm not the only person

606
00:31:21,000 --> 00:31:24,120
Speaker 2: who does that in one year at not You know

607
00:31:24,200 --> 00:31:27,800
Speaker 2: a giant airport in Portland three thousand, three hundred and

608
00:31:27,800 --> 00:31:32,760
Speaker 2: fifty three electronics, laptops, smartphones, oodles of AirPods that people

609
00:31:32,880 --> 00:31:36,200
Speaker 2: just sit down and forget. And we're not talking about

610
00:31:36,200 --> 00:31:38,400
Speaker 2: the stuff on the planes. That's a different thing. The

611
00:31:38,480 --> 00:31:40,560
Speaker 2: airlines hang onto those. This is stuff you just leave

612
00:31:40,560 --> 00:31:45,200
Speaker 2: in the airport. Twenty seven hundred pieces of clothing, twenty

613
00:31:45,240 --> 00:31:50,560
Speaker 2: one hundred IDs including passports, twenty one hundred over a year.

614
00:31:51,000 --> 00:31:56,440
Speaker 2: That's a lot, several a day, seventeen hundred bags, sixteen

615
00:31:56,480 --> 00:32:01,560
Speaker 2: hundred wallets. Roughly, this one's easier to AMAE. Eighteen thousand

616
00:32:01,680 --> 00:32:06,280
Speaker 2: water bottles, books, hats, and belts also turned up items

617
00:32:06,320 --> 00:32:08,840
Speaker 2: so common, so rarely retrieved, and of so little value

618
00:32:08,840 --> 00:32:11,240
Speaker 2: that the department doesn't even bother logging them all. They

619
00:32:11,240 --> 00:32:14,040
Speaker 2: have stacks and stacks and stacks and stacks of water bottles,

620
00:32:14,080 --> 00:32:15,640
Speaker 2: so why would you keep track of it? In case

621
00:32:15,640 --> 00:32:17,720
Speaker 2: of me, Hey, did you find a green water bottle

622
00:32:17,800 --> 00:32:21,560
Speaker 2: last week? Yeah? I got about eight hundred green water bottles.

623
00:32:21,640 --> 00:32:22,600
Speaker 4: Come in and pick one.

624
00:32:23,640 --> 00:32:25,600
Speaker 2: Not everything lost at the airport. Lands of the Lost

625
00:32:25,600 --> 00:32:27,320
Speaker 2: and Found. Anything left on a plane, as I mentioned,

626
00:32:27,360 --> 00:32:29,800
Speaker 2: stays with the airline. TSA also keeps the object it

627
00:32:29,880 --> 00:32:33,320
Speaker 2: seizes in the security checkpoint. Like my pocket knife that

628
00:32:33,400 --> 00:32:35,000
Speaker 2: I had to get over a week or so ago,

629
00:32:35,040 --> 00:32:37,840
Speaker 2: wouldn't go to Lost and Found, it would TSA. I

630
00:32:37,880 --> 00:32:40,040
Speaker 2: think they send them to an auction or something. I

631
00:32:40,080 --> 00:32:42,920
Speaker 2: heard something like that. Yeah, which is a good idea.

632
00:32:42,920 --> 00:32:49,120
Speaker 2: There's no point in throwing them in the trash. They're

633
00:32:49,200 --> 00:32:50,880
Speaker 2: trying to figure out how to cut down on this

634
00:32:50,920 --> 00:32:55,000
Speaker 2: all those If I'm not interested enough to hang onto

635
00:32:55,040 --> 00:32:56,240
Speaker 2: my winter coat, I don't know.

636
00:32:56,240 --> 00:33:00,800
Speaker 1: What you can do about that, right, Yeah, wow, laptop

637
00:33:00,880 --> 00:33:02,440
Speaker 1: that sucks.

638
00:33:03,600 --> 00:33:05,440
Speaker 2: You have to be quite miserable. You're probably on a

639
00:33:05,480 --> 00:33:08,120
Speaker 2: business trip and now everything is in that laptop that

640
00:33:08,160 --> 00:33:10,480
Speaker 2: I left sitting somewhere. It sat down for coffee and

641
00:33:10,520 --> 00:33:11,040
Speaker 2: walked away.

642
00:33:11,560 --> 00:33:14,680
Speaker 1: Then what's the process for getting it back? I mean

643
00:33:14,720 --> 00:33:16,960
Speaker 1: you call the airport, I guess, and finally figure out

644
00:33:16,960 --> 00:33:19,120
Speaker 1: what line to call, and you leave a message or

645
00:33:19,120 --> 00:33:21,240
Speaker 1: something and they say, yeah, we got seventy nine of

646
00:33:21,280 --> 00:33:24,160
Speaker 1: them from Friday. You got to come in and flip

647
00:33:24,200 --> 00:33:25,840
Speaker 1: through all of them. And if you can sign on

648
00:33:25,920 --> 00:33:28,880
Speaker 1: to one and you get it. I don't I wonder,

649
00:33:28,960 --> 00:33:30,800
Speaker 1: I mean, because you can't just say, oh, it's not

650
00:33:30,840 --> 00:33:33,360
Speaker 1: like a water bottle. Ah, damn it my MacBook? Well,

651
00:33:33,400 --> 00:33:35,320
Speaker 1: what are you gonna do? I'll buy another one. People

652
00:33:35,360 --> 00:33:38,440
Speaker 1: aren't generally gonna do that, right. How about your ID?

653
00:33:38,920 --> 00:33:43,680
Speaker 1: That changed your trip? Oh you're not getting into your

654
00:33:43,680 --> 00:33:46,280
Speaker 1: hotel or your rental car, or on the plane or

655
00:33:46,320 --> 00:33:50,120
Speaker 1: all kinds of different things. Yeah, yeah, I actually did

656
00:33:50,120 --> 00:33:52,320
Speaker 1: that once. I can't remember I left it or lost

657
00:33:52,360 --> 00:33:55,240
Speaker 1: it or something, but as I recall, it was pre

658
00:33:55,480 --> 00:33:57,959
Speaker 1: nine to eleven and it was still No. It couldn't

659
00:33:57,960 --> 00:34:00,000
Speaker 1: have been, because I think pre nine to eleven just

660
00:34:00,080 --> 00:34:01,800
Speaker 1: walked up with your kick and walk down to the ship.

661
00:34:02,080 --> 00:34:04,480
Speaker 4: Yeah. Yes, it was a pain in the butt.

662
00:34:04,640 --> 00:34:05,320
Speaker 2: Yeah.

663
00:34:05,440 --> 00:34:06,520
Speaker 4: I got a business card.

664
00:34:06,520 --> 00:34:08,839
Speaker 1: I got all these credit cards. I can't even want

665
00:34:08,840 --> 00:34:09,560
Speaker 1: to know about me.

666
00:34:09,880 --> 00:34:12,399
Speaker 2: I can't believe I left my phone by Oh it's

667
00:34:12,440 --> 00:34:17,359
Speaker 2: like I'm opening a checking account for my oldest son.

668
00:34:17,480 --> 00:34:20,439
Speaker 2: I did this with his brother weeks ago. They need

669
00:34:20,520 --> 00:34:23,399
Speaker 2: two forms of ID to prove it's him me being

670
00:34:23,520 --> 00:34:26,160
Speaker 2: dad and me having an account there, and my ID

671
00:34:26,600 --> 00:34:27,400
Speaker 2: is not enough.

672
00:34:27,520 --> 00:34:32,160
Speaker 4: Are you kidding me? What are we trying to prevent that.

673
00:34:32,239 --> 00:34:34,839
Speaker 2: I don't know. What's amazing to me about this, all

674
00:34:34,840 --> 00:34:38,080
Speaker 2: these sorts of things is it's a lot of lot

675
00:34:38,160 --> 00:34:42,320
Speaker 2: gun laws. All you do is inconvenience law, abiting people,

676
00:34:42,560 --> 00:34:45,239
Speaker 2: and a pair to make no dent in the illegals.

677
00:34:45,239 --> 00:34:49,919
Speaker 2: I mean, see Somali thieves in Minnesota. They still nine

678
00:34:50,040 --> 00:34:52,680
Speaker 2: billion dollars. But I'm trying to open a checking account

679
00:34:52,680 --> 00:34:54,360
Speaker 2: and I need to come up with two forms of

680
00:34:54,400 --> 00:34:56,759
Speaker 2: ID for my son. So I got his birth certificate,

681
00:34:56,800 --> 00:34:59,640
Speaker 2: thank god, I know where it is. And another form

682
00:34:59,680 --> 00:35:01,560
Speaker 2: of idea I said, I don't have another, like a

683
00:35:02,000 --> 00:35:03,800
Speaker 2: driver's He doesn't have a driver's license.

684
00:35:03,960 --> 00:35:04,640
Speaker 4: He's a child.

685
00:35:04,880 --> 00:35:08,399
Speaker 2: Look at him. Yeah, his social Security card. We don't

686
00:35:08,440 --> 00:35:10,400
Speaker 2: have a social Security card. Maybe I should have one,

687
00:35:10,400 --> 00:35:11,200
Speaker 2: but I don't have one.

688
00:35:11,400 --> 00:35:13,840
Speaker 1: But inmates in the Russian mob, can bilk say the

689
00:35:13,880 --> 00:35:16,200
Speaker 1: state of California out of billions and billions of dollars?

690
00:35:16,280 --> 00:35:19,040
Speaker 2: Yeah, we do lots of stuff, including in the fourth hour,

691
00:35:19,120 --> 00:35:21,799
Speaker 2: probably have some audio from the Supreme Court arguments. Anyw

692
00:35:21,800 --> 00:35:24,960
Speaker 2: who if you miss this segment, get the podcast Armstrong

693
00:35:25,000 --> 00:35:28,240
Speaker 2: and Getty on demand. That's what you should subscribe. Yeah,

694
00:35:28,640 --> 00:35:29,800
Speaker 2: Armstrong and Getty