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Speaker 1: Just answered this nationwide keyword on our website bank. That's

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Speaker 1: bank answer it now. My Scott's Loan Show on seven

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Speaker 1: hundred WLW is Instagram engineered like a like a casino

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Speaker 1: in order to hook your kids. The jury's going to

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Speaker 1: answer that question as tech CEOs get called to the

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Speaker 1: witness stand in a very fascinating case where social media, TikTok, insta, Facebook,

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Speaker 1: all of that is on trial. Jason Philibaum is a

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Speaker 1: defense attorney here in Cincinnati and joins the show to

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Speaker 1: discuss Jason, welcome, how you have.

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Speaker 2: Good morning, doing well? Thank you.

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Speaker 1: So I've read this and it's fascinating because we're all

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Speaker 1: engaged in social in some way, shape or form, but

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Speaker 1: especially on more impressionable younger people. And that's the crux

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Speaker 1: of the argument. To me, it strikes me as a

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Speaker 1: this is essentially a product liability case in that the

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Speaker 1: defense is going to have to walk this type rope

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Speaker 1: of going, well, yeah, the platforms are engaging by this,

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Speaker 1: but they're not harmful. And that's the intent of this thing,

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Speaker 1: is that the folk from here.

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Speaker 2: Yeah.

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Speaker 3: In fact, I think this is going to probably near

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Speaker 3: the either the gun cases or the cigarette cases where

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Speaker 3: you have, for example, the gun lobby shut that down.

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Speaker 3: But the cigarette cases, they started out in the sixties

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Speaker 3: and the seventies, and you have a couple of big verds.

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Speaker 3: The next thing you know, you have a multi state settlement.

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Speaker 3: So I think what you're seeing here is the beginning

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Speaker 3: of either the end or the expansion of social media, having.

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Speaker 1: Tech companies or other companies that past successfully defended that

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Speaker 1: accusation of their products.

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Speaker 2: Somehow it was addictive, yes, And that's what's interesting.

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Speaker 3: And again I see such parallels between the social media

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Speaker 3: trial that's starting now in the cigarette cases, because when

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Speaker 3: the cigarette cases first started, they defended it and they

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Speaker 3: shot it down and they won I think the first

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Speaker 3: lawsuit within the fifties, and they lost big time, and

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Speaker 3: I think they even got attorning keys. And then you know,

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Speaker 3: they started in the sixties and the seventies, and then

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Speaker 3: finally it was in I think nineteen eighty eight or

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Speaker 3: something like.

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Speaker 2: That you finally had a big verdict.

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Speaker 3: And then a few years later the state stepped in

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Speaker 3: because now you have a flood of lawsuits. So I

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Speaker 3: think what you're going to see here is you've got

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Speaker 3: this lawsuit against a social media or all of them

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Speaker 3: essentially claiming they're addictive, claiming they're subjecting the children to

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Speaker 3: sexual abuse or other type of anxiety from the images

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Speaker 3: they see. And what you're going to have is if

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Speaker 3: they get a verdict here, you can see now a

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Speaker 3: flood of lawsuits that follow, sort of mirroring the same evidence,

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Speaker 3: making the same argument. Yea.

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Speaker 1: Although here's the problem I have, and this is the

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Speaker 1: argument I would tend to make here, Jason, if I

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Speaker 1: were the big media companies, tech companies, is that, Okay,

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Speaker 1: we're going to do this like we did the like

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Speaker 1: the cigarette lawsuit.

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Speaker 2: What's the deal.

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Speaker 1: Well, we know cigarettes called cancer and the cigarette mantuffacts No, no,

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Speaker 1: no no, And now we found memos that said, yeah,

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Speaker 1: we recognize there's a direct correlation between smoking and lung cancer.

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Speaker 1: That's irrefutable. And there's probably not much else you're doing

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Speaker 1: in your life that would cause lung cancer save not

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Speaker 1: smoking cigarettes. Okay, so there's that direct scientific connection. Whereas

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Speaker 1: in this case you're making the same argument going, Okay,

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Speaker 1: if it weren't for social media, kids would be happy,

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Speaker 1: they'd be engaged, they wouldn't be depressed. That might be

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Speaker 1: an ally, that may be a factor but there's also

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Speaker 1: other causes for this. The causation nightmare is what about

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Speaker 1: family trauma? What about academic pressure, what about bullying, what

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Speaker 1: about genetics? What about COVID? It just keeps going and

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Speaker 1: going and going, And so there's other factors I could

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Speaker 1: I could point to in a child's life as to

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Speaker 1: why they might be addicted to social media and why

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Speaker 1: their temperament is bad. And you know, there are some

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Speaker 1: kids killing themselves, there's no question about it, and maybe

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Speaker 1: social pushes them over the edge. But there's a whole

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Speaker 1: host of other factors you have with social media that

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Speaker 1: you don't have with cigarette smoking.

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Speaker 3: And I think that's exactly what the social media companies

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Speaker 3: are going to be seeing. So we talked, you know,

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Speaker 3: just now it's almost like cigarettes. But one would argue,

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Speaker 3: and I think your argument was, this is more like

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Speaker 3: the gun cases, the firearm cases, where you know, yes

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Speaker 3: guns can cause damage and yes guns can cause death,

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Speaker 3: but there's an intervening cause and that's a bad guy

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Speaker 3: doing it. You know, guns just don't pop up and

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Speaker 3: start killing people. It's some bad guy picks up a

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Speaker 3: gun and does something bad.

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Speaker 4: And so that's what they're going to argue.

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Speaker 3: Here in social media, which is, look, you know, we

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Speaker 3: we have a platform, and if a bunch of you know,

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Speaker 3: perverts get on and start, you know, sending messages your kids,

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Speaker 3: that's a bad actor using otherwise okay platform. And so

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Speaker 3: I think that's that's the biggest hurdle that the plaintiffs

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Speaker 3: are going to have to get over, which is, you

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Speaker 3: know this this is designed to be you know, addictive. Maybe,

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Speaker 3: but at the end of the day, it's only causing

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Speaker 3: trouble because the bad guys on the other side doing things,

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Speaker 3: and that's you know, one could argue with mirrors the

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Speaker 3: gun lobby cases which end up going away.

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Speaker 1: Well, the gun lobby cases were interesting in that the

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Speaker 1: argument we all to say product defect issue. This is

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Speaker 1: a product liability issue and a gun company so well

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Speaker 1: not really. You put around in the chamber, you load it,

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Speaker 1: you rack it, and you pull the trigger and a

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Speaker 1: bullet flies out. No, that works like it should. It

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Speaker 1: depends on who's using it and what the intent is.

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Speaker 3: Right, That's what they basically said, like, look, these social

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Speaker 3: media platforms, there's other reasons for mental health. You know,

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Speaker 3: we have a society that's built.

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Speaker 2: On bad news or you know, We've got people on

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Speaker 2: the other side that are them.

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Speaker 3: And all this does is is create more of a

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Speaker 3: public form that you're going on yourself.

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Speaker 2: The parents are allowing it to happen.

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Speaker 3: And so the argument from the social media company is, look,

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Speaker 3: we provide a platform where people can share pictures and

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Speaker 3: talk about their life, and just because someone comes in

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Speaker 3: and does something bad or because another friend starts to

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Speaker 3: bully you, that's not on us. I mean, we can't

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Speaker 3: have a free, open platform but then regulate everybody. That's

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Speaker 3: a whole different issue that Connors is looking at. And

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Speaker 3: so I think that's what they're going to claim, is

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Speaker 3: that bad actors are what causing your child's mental health,

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Speaker 3: not the actual Instagram or Facebook or TikTok.

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Speaker 1: Well, the idea is you're getting fed a steady diet

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Speaker 1: of everything that you want to hear. But okay, that's

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Speaker 1: social media and there's an algorithm for that. How is

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Speaker 1: that different in any way, shape or form than something

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Speaker 1: I may watch on streaming, for example, or TV, whether

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Speaker 1: it's I don't know, it could be food TV. Maybe

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Speaker 1: I have a food today. I can watch food NonStop

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Speaker 1: all the time to make a look good. They don't

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Speaker 1: see the after effects of it, or something that we

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Speaker 1: could recognize as cable news. You know, if you are

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Speaker 1: you know, if you write leaning, you watch Fox News.

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Speaker 1: But there's even more extreme networks out there one America.

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Speaker 1: There's Newsmax, right, and that's a steady the same algorithms

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Speaker 1: and play here. Why would they be exempted social media?

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Speaker 3: Not?

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Speaker 2: Yeah, exactly.

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Speaker 3: I mean, I mean that's anything right now, that's just

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Speaker 3: targeting on advertising. I mean you'll look up something for

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Speaker 3: a puppy and next thing you know, you're flooded with

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Speaker 3: everything that goes along with the puppy, from leashes, the food,

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Speaker 3: the puppy pads, you name it. And I think in

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Speaker 3: this case that's what they're going to argue is, look, yes,

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Speaker 3: we set it up so if you show interest in baseball,

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Speaker 3: we're going to show you a bunch of baseball stuff.

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Speaker 3: If you show interest in workout, we're going to show

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Speaker 3: you workout stuff. And then likewise, you know, people can

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Speaker 3: come on and talk to you, and if they're bad

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Speaker 3: about it, that's on them. Now, what I'd be most

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Speaker 3: interested is snap Chat and TikTok settled before this started,

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Speaker 3: and I'd be curious. We'll never know what that amount

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Speaker 3: is for but you know, something about snap Chat and

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Speaker 3: TikTok had them worried enough to leases to a settlement,

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Speaker 3: and I'm guessing that settlement is what then is fueling

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Speaker 3: the litigation on the other because there's experts involved, there

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Speaker 3: was an undercover study done.

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Speaker 2: I mean, this is going to be very interesting to

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Speaker 2: watch over the next month.

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Speaker 1: Yeah, there's another factor you don't have and all these

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Speaker 1: other suits. Jason Philibaum, attorney at law, we're talking about

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Speaker 1: the interesting case. I think it's going to kind of

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Speaker 1: grip us here too, because we're all involved in social

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Speaker 1: media in some way, shape or form. The young you

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Speaker 1: are probably more likely. But products like Instagram and TikTok

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Speaker 1: and Facebook and x are they engineered to hook your kids?

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Speaker 1: And the juries can answer that question as CEOs like

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Speaker 1: Zuckerberg get called to the witness stand shortly to say, yeah,

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Speaker 1: well we wanted the product to be engaging, but no,

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Speaker 1: it's not addictive. It's not causing all these societal problems

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Speaker 1: facing young people specifically. There's also something in there that's

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Speaker 1: not applied to any other the types of suits we've

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Speaker 1: talked about. When comes a pride to product liability, Jason.

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Speaker 1: That's something called Section two thirty, which basically protects platforms

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Speaker 1: from liability for user generated content. So I may get

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Speaker 1: on social and create something that's not on meta or YouTube,

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Speaker 1: that's on the user, and so it does exactly so

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Speaker 1: do section two thirty provide a shield here from these

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Speaker 1: suits even more?

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Speaker 2: That's what they're going to argue.

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Speaker 3: And I think what you have is, you know, we

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Speaker 3: had the whole argument what five years ago, when before

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Speaker 3: X was taken over by month, you know, we're we're

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Speaker 3: certain people being blocked out or being excluded, and is

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Speaker 3: this a public form? And of course Congress acts and

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Speaker 3: basically says, look, you can you can say and do

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Speaker 3: what you want on these platforms because who it is

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Speaker 3: for me to say that's misinformation? And then so now

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Speaker 3: I think you're going to see the social media companies

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Speaker 3: argue the same thing, which is, look, we do make

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Speaker 3: this engaging, we do make this interesting. If you like something,

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Speaker 3: we're going to send you more things that way. But

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Speaker 3: at the end of the day, we can't control what

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Speaker 3: people do, whether they harass you, whether they put false

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Speaker 3: information out there or anything else. We can't control that.

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Speaker 3: And there's actually a statue that says we shouldn't and

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Speaker 3: we're not liable for that.

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Speaker 2: At the end of the day, this will.

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Speaker 3: Then come down to are they knowingly putting children at risk?

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Speaker 3: And I think that's a hard burden to overcome for

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Speaker 3: the plaintiffs. How does the First Amendment factor into that, Well,

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Speaker 3: I think that protects the speech that comes across. But again,

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Speaker 3: if you're it's like it's like a cigarette. You know,

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Speaker 3: it's you, it's your right to to smoke, and you

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Speaker 3: choose to do that. But we put a product out

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Speaker 3: that we knew was going to be damaging, that we

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Speaker 3: knew was going to cause cancer, and the only difference

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Speaker 3: and then we advertise towards you. Now that I think

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Speaker 3: the same thing could be said about social media. We

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Speaker 3: created this product that we knew would take up eight

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Speaker 3: hours of your day of scrolling.

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Speaker 2: We knew that it would, you.

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Speaker 3: Know, cause vision trouble or or mental health trouble because

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Speaker 3: you're not sleeping. And then we also made it more

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Speaker 3: addictive so we can send more stuff at you. And

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Speaker 3: we knew a lot of that stuff was that if

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Speaker 3: that's what they can prove, then yeah, there could be

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Speaker 3: a verdict in this case. But that social media comes

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Speaker 3: back and says, wait a second. All we did was

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Speaker 3: again create a platform that's fun, and the more fun

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Speaker 3: it is, the more you're gonna want to do it.

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Speaker 3: But that's life. That's not creating a bad sort of product.

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Speaker 3: That's the people that engage that you're with. It's like

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Speaker 3: going to a park. We created a beautiful park, but

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Speaker 3: if there's bad people and they're yelling at you and

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Speaker 3: doing stupid stuff, that's that's not on us, that's on

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Speaker 3: the bad people.

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Speaker 1: Jason. A couple of studies have come out in the

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Speaker 1: last couple of years from different institutions, and I was

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Speaker 1: talking about it earlier in the show, and that factors

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Speaker 1: in here, and that is, you know, certainly young people

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Speaker 1: in particular who spend a lot of time and girls

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Speaker 1: especially spend a lot of time on social media, they

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Speaker 1: tend to be more depressed, to have higher levels of anxiety,

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Speaker 1: less performance, things along those lines. However, versus kids who

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Speaker 1: are completely banned from social media, the kids who have

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Speaker 1: a little bit of social media in their lives tend

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Speaker 1: to fare better. And so it sounds to me like

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Speaker 1: the research says there's a happy medium. You know, if

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Speaker 1: you spend all your time looking at your phone. That's

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Speaker 1: really really bad. If you don't have a phone, or

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Speaker 1: don't use or don't engage, it's it's not as bad

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Speaker 1: as that, but it's also not good. There's a sweet spot,

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Speaker 1: and it's always in the middle in that regard. Then

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Speaker 1: we have things like teen accounts and parental controls and

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Speaker 1: screen time warnings and all that stuff. If those tools

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Speaker 1: are out there, and the same people who bring the

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Speaker 1: suit fail to engage in that and fail to monitor

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Speaker 1: their kids because you know, they're kids, they don't have agency,

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Speaker 1: isn't that an affirmative defense for the tech companies and saying, hey, listen,

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Speaker 1: you're a parent. You have a responsibility to parent. You know,

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Speaker 1: you know, you got to know what your kid's doing

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Speaker 1: and monitor. You gave them a phone. They didn't buy

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Speaker 1: the phone themselves under the money, especially the young ones.

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Speaker 2: Is that on the parent?

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Speaker 3: Yeah, yeah, And that's what the meta attorney actually said

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Speaker 3: in open which basically they have repeatedly warn parents and teams,

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Speaker 3: but more importantly the parents that harmful conduct does or

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Speaker 3: content does get past our firewalls. They do get past

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Speaker 3: the safeguards, and this can be an issue, and you

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Speaker 3: need the monitor child. It's like taking the child to

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Speaker 3: a play area and just letting them go and they

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Speaker 3: fall off the top. At some point, you've got to

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Speaker 3: monitor your children as well. And I think that's what

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Speaker 3: you know, Meta at least was arguing, which is the

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Speaker 3: parents have responsibility too, And you know, just because you

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Speaker 3: open up an area and let your kid go unexplored,

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Speaker 3: that's not on us. We've warned you. And this goes

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Speaker 3: back to the whole product liability issue. You and I

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Speaker 3: have joked about this. Before you want a drinking party

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Speaker 3: at home, go read your warning labels on all your products,

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Speaker 3: because that means someone did that to get that warning

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Speaker 3: label there. And I think that's what they're saying, is

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Speaker 3: we put the warning here that said it could be

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Speaker 3: a problem, and you ignored it and let your kid

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Speaker 3: just have a free phone for eight ten hours a day.

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Speaker 1: I believe I saw Mark Zuckerberg is going to testify,

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Speaker 1: and that is going to be a moment for sure.

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Speaker 1: What are the legal risks for Meta putting him on

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Speaker 1: the stand.

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Speaker 3: Well, he probably doesn't know a lot about the You know,

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Speaker 3: at the end of the day, you become so big

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Speaker 3: in your company that you don't necessarily know the little

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Speaker 3: but I think that'll be very interesting. I mean, he's

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Speaker 3: testified in Congress, so you know, he's testified before hearings.

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Speaker 3: I would think that he's going to do pretty well.

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Speaker 3: Set up to testify. I think the things that going

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Speaker 3: to be interesting is that they hit him with something

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Speaker 3: that maybe he didn't know about, you know, something someone

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Speaker 3: lower or whatever they said. But in this case, this

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Speaker 3: has been going on for a while. They've got Discovery.

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Speaker 3: I would hope he's prep and I think Instagram CEO

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Speaker 3: is also going to testify, and that'll again be interesting

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Speaker 3: because they've all testified in Congress, again, pretty hostile crowds

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Speaker 3: where the rules of evidence don't apply. I would think

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Speaker 3: they're probably going to end up doing fine, and it's

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Speaker 3: the people underneath them that's that's going to be the

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Speaker 3: real interesting is how this operates, how this works, how

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Speaker 3: they actually target the kids.

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Speaker 2: That's that's I think going to be end up cruct

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Speaker 2: of the case.

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Speaker 1: Yeah, because the I mean, it's really this, this whole

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Speaker 1: thing we're talking about, this culture. It's all his fault

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Speaker 1: because he was a nerd at Harvard and wanted to

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Speaker 1: be chicks. That's that's basically what this whole thing came about.

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Speaker 1: It was like, it's like a senior prank called wildly,

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Speaker 1: wildly out of control.

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Speaker 3: And ruck, I mean downfall society, social media and next

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Speaker 3: thing is terminator.

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Speaker 2: With all the ais.

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Speaker 3: But hey, at the end of the day, we're welking

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Speaker 3: him it with open arms. And that's the defense of

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Speaker 3: the social media is, look, you guys use it, so

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Speaker 3: all we'd do is putting the products out there. And

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Speaker 3: just because other people use it poorly, that's not on.

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Speaker 2: Us, right.

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Speaker 1: Okay, So we saw Snapchat and TikTok settle. Do they

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Speaker 1: wind up just settling in this case? Is that and

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Speaker 1: the foregone conclusion here? Jason philbum No, I.

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Speaker 2: Think they're going to go through with it.

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Speaker 3: I think they have decided that they're going to be

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Speaker 3: a target if they settle, I mean if and I

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Speaker 3: think I don't know why TikTok and Snapchat did. I

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Speaker 3: don't know if there's maybe some internal memos that could

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Speaker 3: have got them in trouble, but at the end of

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Speaker 3: the day they settled. But I think think you've got

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Speaker 3: Instagram and Facebook and meta and all that they're going

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Speaker 3: to fight this to the end because otherwise you're going

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Speaker 3: to open up a flood of litigation like they do,

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Speaker 3: like they did in the cigarette cases, and so I

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Speaker 3: think we're going to end up seeing this at a verdict.

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Speaker 1: Interesting all right, he's Jason Philibum defense attorney. Maybe a

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Speaker 1: little outside his scope here, but the guy knows more

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Speaker 1: about law than most people do for sure, especially Lawa's

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Speaker 1: Jason all the best, buddy, appreciate you.

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Speaker 2: I appreciate it. Thank you, and their.

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Speaker 1: Official attorney of the Scott Sloan Show here on seven

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Speaker 1: hundred WLW, we'll get a time out of news. I

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Speaker 1: want to talk about this more after the news here

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Speaker 1: at nine point thirty. And this is a huge, huge

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Speaker 1: issue and if you think about it, there are all

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Speaker 1: sorts of core questions here because as I mentioned, there's

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Speaker 1: a precedent if they wind up winning, the plaintiffs win

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Speaker 1: this case, meaning that social media is addictive by design

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Speaker 1: and they're at fault. Does that open up I mean Netflix,

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Speaker 1: for example, go after Netflix because of AutoPlay or you know,

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Speaker 1: news sites, infinite scroll, or mobile games, online shopping. I'll

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Speaker 1: go the thems pretty much everything, and I mentioned no

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Speaker 1: cable news would be a great example of that. Are

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Speaker 1: we just opening Pandora's box where if you just get

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Speaker 1: on the information super high Highway, getting the digital fast lane. Now,

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Speaker 1: all of a sudden, there's legal risk involved for the

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Speaker 1: company put the content out there. What uh yeah, that's

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Speaker 1: pretty scary, right. I'll also make this case. I don't

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Speaker 1: think social media should be on trial at all. I

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Speaker 1: don't think that's what should be on trial. There's something else,

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Speaker 1: and we'll get into that right after news in your

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Speaker 1: calls just ahead, Scott's Loan show. This is seven hundred WW.

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Speaker 1: Scott Floatan continues here seven hundred WLW. Welcome to the

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Speaker 1: show on this Tuesday morning, the sunshine's in.

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Speaker 2: We're at h What I got here?

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Speaker 1: I don't have my ammometer here. Let me look at

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Speaker 1: the old watch. I got thirty eight degrees. Watch this

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Speaker 1: thirty eight. Let's go at thirty eight.

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Speaker 2: I don't know.

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Speaker 1: I have to hopefully north of fifty today. Hopefully your

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Speaker 1: some pump is working, gonna be a lot by Buddy

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Speaker 1: Bobby Miles and Basement Doctor's gonna get a lot of

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Speaker 1: calls in three to one. That's just how it is.

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Speaker 1: I kind of got a little theme running for the

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Speaker 1: first half of the show. Tod I just had Jason

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Speaker 1: Phillbaum and talk about the social media addiction trial. I

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Speaker 1: think that's fascinating. Christine Miles as a psychologist. She's on

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Speaker 1: later to talk about then update on you know, the

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Speaker 1: schools have banned cell phones largely because the dangers of that.

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Speaker 1: I mentioned the real problem here and I you know,

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Speaker 1: thinking about it, was like, Okay, social media, it's so

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Speaker 1: bad for kids, so bad, so bad, And then you

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Speaker 1: have studies come out and going, yeah, but kids who

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Speaker 1: aren't engaged in social media tend to also have problems

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Speaker 1: socializing and mental stress and things like that, largely because

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Speaker 1: that's her kids meet. You know, if you simply deny

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Speaker 1: the kid going hey, you cal it's really bad you

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Speaker 1: can't have a cell phone, that's our whole social sphere.

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Speaker 1: That's like saying, well, you're not allowed to go to

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Speaker 1: the mall. You're not allowed to go to the movies.

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Speaker 1: You're not allowed to go you know, when we were younger,

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Speaker 1: that's how kids socialize in person. They do it digitally.

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Speaker 1: Now it's just the way things are, and so's that's

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Speaker 1: not good for the kid either. So there's a happy

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Speaker 1: medium where you actually, I hate to say it, you know,

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Speaker 1: we got a parent. That's the hardest thing in the

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Speaker 1: world is parenting. You know, you just can't simply let

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Speaker 1: your kid go feral. And then when they spend twenty

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Speaker 1: hours a day on the phone and there you know

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Speaker 1: they they don't develop properly or they have mental health issues.

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Speaker 1: You turn around and you sue the company. It's like,

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Speaker 1: well you got on the phone. Is you do have

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Speaker 1: a some liability in this yourself actually the bulk of it.

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Speaker 1: And a kid has to be an educated consumer, sadly

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Speaker 1: at a younger age than we were. But that's them's

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Speaker 1: the rules, right. And I point this out because you know,

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Speaker 1: if you think about it, the problem here going after

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Speaker 1: social media, that social in my opinion, should not be

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Speaker 1: the thing on trial here. It should be smartphones. I

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Speaker 1: mean a smartphone, it's a handheld slot machine. If you

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Speaker 1: go into the casino, downtown anywhere for that matter, everything

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Speaker 1: in there is set up for them to take your money.

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Speaker 1: And we know this going in. We know the how

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Speaker 1: hose always wins. You go to Vegas, Why do they

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Speaker 1: comp your drinks, why do they comp your rooms? Why

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Speaker 1: do you get the comp this that? Because you spend

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Speaker 1: a lot of money playing the games and at the

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Speaker 1: end of the day when you get a free family

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Speaker 1: members that go and they gamble it, and they gamble

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Speaker 1: uf with like they never pay for a cruise. I

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Speaker 1: think it's awesome. It's like you go now, it's one

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Speaker 1: hundred dollars, basically, go on this cruise. Why is it

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Speaker 1: because we gamble a lot and you can write those

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Speaker 1: now for your taxes. The whole thing. I don't know

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Speaker 1: if it's a wash or not, but again, it's your money.

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Speaker 1: You worked a lifetime, you earned it. Do what you

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Speaker 1: want with your money. I don't need the government or

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Speaker 1: anyone else tell me what to do what I want

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Speaker 1: to do with my money. If I want to give

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Speaker 1: it to charity, give it to the church, or gamble

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Speaker 1: it away. It's my damn money. Leave me alone. Leave

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Speaker 1: me alone. And so you go to a casino and

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Speaker 1: it's all set to take that money from you, right.

433
00:20:48,680 --> 00:20:52,680
Speaker 1: All of the bells on a slot machine, the chimes

434
00:20:52,720 --> 00:20:57,080
Speaker 1: are done in a certain way, in a certain fashion

435
00:20:57,240 --> 00:20:59,359
Speaker 1: to make that the most appealing sound in the world

436
00:20:59,440 --> 00:21:03,240
Speaker 1: to you. Done researching the whole thing about pumping oxygen,

437
00:21:03,320 --> 00:21:05,840
Speaker 1: and they really don't. But it's a good wives tele

438
00:21:05,920 --> 00:21:08,000
Speaker 1: all and get you to spend more money to game

439
00:21:08,080 --> 00:21:11,080
Speaker 1: up more. Okay, so if that's true with the casino,

440
00:21:11,160 --> 00:21:14,639
Speaker 1: we don't band casinos, we regulate them. I look at

441
00:21:14,680 --> 00:21:16,119
Speaker 1: social media, go. I don't look at social media. I

442
00:21:16,119 --> 00:21:19,119
Speaker 1: think it's the phone, because it is that handheld slot machine.

443
00:21:19,160 --> 00:21:22,159
Speaker 1: It is literally an amusement park in the palm of

444
00:21:22,160 --> 00:21:26,040
Speaker 1: your hand. You can certainly look at social media. You

445
00:21:26,080 --> 00:21:30,000
Speaker 1: can engage in that. You can scroll videos, you can

446
00:21:30,080 --> 00:21:32,639
Speaker 1: listen to audio and podcast, you can play games, you

447
00:21:32,680 --> 00:21:35,359
Speaker 1: can watch porn, you can bet, you can gamble. You

448
00:21:35,359 --> 00:21:37,360
Speaker 1: can do all of these things you want to do

449
00:21:37,920 --> 00:21:40,960
Speaker 1: within the palm of your hand. And so I don't

450
00:21:41,000 --> 00:21:42,440
Speaker 1: know if it's social that should be on trial. It

451
00:21:42,440 --> 00:21:46,160
Speaker 1: should be the phone. But that's a whole separate set,

452
00:21:46,160 --> 00:21:48,480
Speaker 1: that's a whole different indictment. It's easier to blame social

453
00:21:48,480 --> 00:21:52,120
Speaker 1: media is the evil thing because yeah, in a way,

454
00:21:52,160 --> 00:21:54,160
Speaker 1: we're on but no, I'm just on Facebook. I don't

455
00:21:54,200 --> 00:21:56,560
Speaker 1: look at it that much. Okay, good, but you know

456
00:21:56,680 --> 00:21:59,560
Speaker 1: that's not the platform young people are on. But you

457
00:21:59,600 --> 00:22:01,440
Speaker 1: can be. I'm addicted to that phone as well. I

458
00:22:01,480 --> 00:22:04,600
Speaker 1: also point out this that if the whole crux of

459
00:22:04,600 --> 00:22:08,600
Speaker 1: the argument, like smoking or guns or whatever it might be,

460
00:22:08,640 --> 00:22:11,760
Speaker 1: as the fact that this is a product liability issue

461
00:22:12,600 --> 00:22:15,639
Speaker 1: and nothing else and they win this thing. Here's what

462
00:22:15,680 --> 00:22:20,200
Speaker 1: should scare you about this is that, all right, snapchack,

463
00:22:20,359 --> 00:22:23,520
Speaker 1: the snapchat TikTok. They settled and now it's meta and

464
00:22:23,640 --> 00:22:27,560
Speaker 1: YouTube right now. But okay, this social media's addictive. Well,

465
00:22:27,960 --> 00:22:30,399
Speaker 1: all right, then they will come after your phones next.

466
00:22:30,440 --> 00:22:34,680
Speaker 1: This certainly makes a mobile phone even more so, I think,

467
00:22:34,720 --> 00:22:39,600
Speaker 1: than social media, something that could be banned or litigated against,

468
00:22:39,600 --> 00:22:42,640
Speaker 1: in the sense that the nature of the phone itself

469
00:22:42,720 --> 00:22:46,440
Speaker 1: is addictive. I mean when the first iPod came out.

470
00:22:46,640 --> 00:22:48,439
Speaker 1: You may not have been around then when the iPod

471
00:22:48,480 --> 00:22:50,400
Speaker 1: came Remember the first iPod came out, and these things

472
00:22:50,400 --> 00:22:52,080
Speaker 1: were you know, they weren't part of your phone, and

473
00:22:52,119 --> 00:22:54,439
Speaker 1: it was you know, we weren't streaming music over the

474
00:22:54,840 --> 00:22:57,600
Speaker 1: over your over data. It was a cost prohibit. You

475
00:22:57,600 --> 00:23:00,119
Speaker 1: had download the song onto the physical iPad. You have

476
00:23:00,160 --> 00:23:02,480
Speaker 1: a phone and you have an iPod with you, and

477
00:23:02,520 --> 00:23:04,760
Speaker 1: the iPod is about the size of while the cell

478
00:23:04,800 --> 00:23:08,800
Speaker 1: phone now about the palm of your hand. And when

479
00:23:08,800 --> 00:23:12,120
Speaker 1: they designed that, they designed it for something that had

480
00:23:12,119 --> 00:23:15,119
Speaker 1: a tactile feel to it, like the back of the

481
00:23:15,119 --> 00:23:21,640
Speaker 1: the the original and the iPods. They were chrome, they're heavy,

482
00:23:21,800 --> 00:23:23,919
Speaker 1: and the edges were round it. It was shining and you

483
00:23:23,960 --> 00:23:26,639
Speaker 1: wanted to touch it. And the buttons were intuitive and

484
00:23:26,680 --> 00:23:29,240
Speaker 1: you felt it and weren't you know, just touch screens,

485
00:23:29,280 --> 00:23:32,280
Speaker 1: the actual physical buds and the whole product. The field

486
00:23:32,320 --> 00:23:35,120
Speaker 1: was designed for you not to want to put it down.

487
00:23:35,200 --> 00:23:38,399
Speaker 1: It felt good in your hand, and that was the

488
00:23:38,480 --> 00:23:41,520
Speaker 1: first step towards developing a product, as all products are.

489
00:23:41,680 --> 00:23:45,240
Speaker 1: That's not only visually and audio opena, but sensory from

490
00:23:45,240 --> 00:23:47,919
Speaker 1: a sensory perspective of the peeling. It drew you in.

491
00:23:48,280 --> 00:23:50,040
Speaker 1: It made you want to use it more. It made

492
00:23:50,040 --> 00:23:54,040
Speaker 1: it so you never wanted to set it down. That's

493
00:23:54,080 --> 00:23:57,000
Speaker 1: that's a hell of a design. But okay, does that

494
00:23:57,080 --> 00:24:02,719
Speaker 1: now mean that the whole idea of music YouTube, for example,

495
00:24:02,720 --> 00:24:05,240
Speaker 1: against social media more than anything. I think it's just videos,

496
00:24:05,240 --> 00:24:08,720
Speaker 1: it's not. It's a social media channel that those algorithms

497
00:24:08,760 --> 00:24:10,080
Speaker 1: are set up for you to get more of the

498
00:24:10,160 --> 00:24:13,800
Speaker 1: videos you want to see. So, by nature, the way

499
00:24:13,840 --> 00:24:16,280
Speaker 1: we design things are that you use it more. You

500
00:24:16,320 --> 00:24:18,919
Speaker 1: can say the same thing about food, about potato chips.

501
00:24:19,520 --> 00:24:21,879
Speaker 1: You know, I get you go get a bag of

502
00:24:21,960 --> 00:24:25,840
Speaker 1: grippos the barbecue, especially, why do you want to eat

503
00:24:25,840 --> 00:24:28,600
Speaker 1: the whole bag? Because they've got a great balance between salt,

504
00:24:28,960 --> 00:24:33,080
Speaker 1: between fat, and between sugar. And we talk about that

505
00:24:33,119 --> 00:24:35,439
Speaker 1: when it comes to obesity. Look at all the hidden

506
00:24:35,480 --> 00:24:37,680
Speaker 1: sugar and product wires. There sugar in there. Shouldn't be

507
00:24:37,720 --> 00:24:39,720
Speaker 1: sugar in this. Yeah, it's there's sugar in it to

508
00:24:39,720 --> 00:24:43,119
Speaker 1: make it more appealing. So it rewires your taste buds,

509
00:24:43,160 --> 00:24:46,080
Speaker 1: not in a conspiratorial sense, but rather they want you

510
00:24:46,119 --> 00:24:49,040
Speaker 1: to eat more because you'll buy more chips. You also

511
00:24:49,119 --> 00:24:51,800
Speaker 1: have to have the ability to go I'm good, I'm satiated,

512
00:24:51,880 --> 00:24:56,840
Speaker 1: I'm fine. So what else are we going to go

513
00:24:56,880 --> 00:24:59,639
Speaker 1: after if they win this lawsuit? Is it going to

514
00:24:59,680 --> 00:25:02,320
Speaker 1: be food? It's gonna be phones, It's gonna be music.

515
00:25:03,240 --> 00:25:06,280
Speaker 1: Netflix comes to mind. They've got auto play. The algorithm

516
00:25:06,280 --> 00:25:08,359
Speaker 1: sees what you're watching, goes hey, we think you'll like this.

517
00:25:08,800 --> 00:25:11,720
Speaker 1: But that's not just Netflix. That's every streaming platform from

518
00:25:11,720 --> 00:25:17,159
Speaker 1: Netflix to YouTube, TV to Amazon Prime, ESPN, whatever it

519
00:25:17,240 --> 00:25:21,119
Speaker 1: might be. News sites have something called infinite scroll. You

520
00:25:21,119 --> 00:25:22,840
Speaker 1: read a story and it sends you more of what

521
00:25:22,880 --> 00:25:27,639
Speaker 1: you want. I would argue also that if you're sitting

522
00:25:27,680 --> 00:25:30,119
Speaker 1: there going, well, you know this is we got the

523
00:25:30,200 --> 00:25:33,239
Speaker 1: social it's the problem the fu I don't know. If

524
00:25:33,280 --> 00:25:36,080
Speaker 1: you're still hooked up to cable you're watching cable news,

525
00:25:38,119 --> 00:25:41,400
Speaker 1: all right. If you like Fox, and you've watched Fox

526
00:25:41,400 --> 00:25:44,679
Speaker 1: because you're conservative, you might really like like One America,

527
00:25:44,760 --> 00:25:47,360
Speaker 1: or you might like Newsmax. We are the commercials for Newsmax.

528
00:25:47,400 --> 00:25:49,479
Speaker 1: And the whole thing with Newsmax is basically is like

529
00:25:49,800 --> 00:25:52,160
Speaker 1: Trump likes Newsmax, so you should watch it too. Tell

530
00:25:52,200 --> 00:25:53,440
Speaker 1: the president you watch TV.

531
00:25:53,600 --> 00:25:53,919
Speaker 2: Wait what?

532
00:25:55,440 --> 00:25:57,920
Speaker 1: And if that's part of your identity and who you are,

533
00:25:58,000 --> 00:26:00,399
Speaker 1: then isn't that a steady diet of more of the

534
00:26:00,480 --> 00:26:03,240
Speaker 1: things that you're addicted to? Now it doesn't give you

535
00:26:03,320 --> 00:26:04,760
Speaker 1: a great sense of what's going on the rest of

536
00:26:04,760 --> 00:26:07,320
Speaker 1: the world or opposing viewpoints, or you know, the ability

537
00:26:07,359 --> 00:26:09,560
Speaker 1: to think for yourself, which I try to do. I

538
00:26:09,640 --> 00:26:11,240
Speaker 1: just don't want people lying to me. I don't care

539
00:26:11,320 --> 00:26:13,960
Speaker 1: if you're a Democrat or Republican. I want to know

540
00:26:13,960 --> 00:26:15,520
Speaker 1: what the agenda is and let me figure out the

541
00:26:15,520 --> 00:26:18,360
Speaker 1: game myself. That's just how I'm more and I get

542
00:26:18,359 --> 00:26:20,720
Speaker 1: I'm a unicord in that regard. Although I suspect the

543
00:26:20,720 --> 00:26:23,760
Speaker 1: way things are going maybe more people are going to go, yeah,

544
00:26:23,800 --> 00:26:25,359
Speaker 1: you know what, maybe we got a back off, like

545
00:26:25,359 --> 00:26:26,960
Speaker 1: social media, we need a back off a little bit.

546
00:26:27,680 --> 00:26:30,000
Speaker 1: But you know, could you go after one of these

547
00:26:30,400 --> 00:26:33,280
Speaker 1: conservative or you know, if you I don't know, maybe

548
00:26:33,280 --> 00:26:36,360
Speaker 1: watch CNN. But now you're going, hey, you know, msnbs

549
00:26:36,359 --> 00:26:38,800
Speaker 1: are the view for God's sakes. With that First Amendment lawsuit,

550
00:26:38,840 --> 00:26:42,040
Speaker 1: same thing. It's like, if you want a steady diet

551
00:26:42,200 --> 00:26:45,600
Speaker 1: of progressive left or conservative right, you can find something

552
00:26:45,600 --> 00:26:48,280
Speaker 1: to do that for you. Because it's not an algorithm,

553
00:26:48,320 --> 00:26:50,560
Speaker 1: but it's alread it is. And so at the end

554
00:26:50,600 --> 00:26:52,560
Speaker 1: of the day, are we opening up Pandora's box. We're

555
00:26:52,600 --> 00:26:56,040
Speaker 1: engaging in anything becomes legally risky, whether I meaning it

556
00:26:56,080 --> 00:26:59,280
Speaker 1: a potato chip or watching I don't know, cable news.

557
00:27:01,000 --> 00:27:03,640
Speaker 1: That's a pretty slippery slope, I think. And now everything

558
00:27:03,680 --> 00:27:05,919
Speaker 1: that is because the idea of making a product is

559
00:27:05,960 --> 00:27:08,240
Speaker 1: to get more people to buy it, regardless of what

560
00:27:08,280 --> 00:27:11,199
Speaker 1: it is to consume it. And no one goes, hey,

561
00:27:11,200 --> 00:27:12,880
Speaker 1: I'm going to design a product, but I don't really

562
00:27:12,920 --> 00:27:16,760
Speaker 1: want that many people using I don't. I just there's

563
00:27:16,800 --> 00:27:19,680
Speaker 1: lit the old theory about it's really not that true.

564
00:27:19,680 --> 00:27:21,480
Speaker 1: But the idea you know, back in the old days,

565
00:27:21,520 --> 00:27:24,600
Speaker 1: I get a refrigerator, and the refrigerator the last seventy year,

566
00:27:24,640 --> 00:27:27,560
Speaker 1: I still got an old, you know, calvinator. In the garage,

567
00:27:28,080 --> 00:27:30,959
Speaker 1: I got a nord Er a Crossley that's still running.

568
00:27:31,000 --> 00:27:33,399
Speaker 1: And yeah, if you look in that thing, it's you know,

569
00:27:33,440 --> 00:27:35,240
Speaker 1: it's got a limited amount of parts. It was designed

570
00:27:35,280 --> 00:27:37,679
Speaker 1: to be replaced as or repair as supposed to replace.

571
00:27:37,720 --> 00:27:40,200
Speaker 1: But we live in a disposal age right now. It's

572
00:27:40,320 --> 00:27:43,280
Speaker 1: lowered the cost of those goods substantially compared to what

573
00:27:43,320 --> 00:27:45,840
Speaker 1: it was a long time ago. TV's are a great

574
00:27:45,840 --> 00:27:48,119
Speaker 1: example of that. You go back and look at I

575
00:27:48,119 --> 00:27:50,359
Speaker 1: don't know, the cost of a TV for a twenty

576
00:27:50,400 --> 00:27:52,680
Speaker 1: one inch you know, black and white TV let alone

577
00:27:52,760 --> 00:27:55,720
Speaker 1: color was like four hundred dollars back in the seventies

578
00:27:56,400 --> 00:27:59,919
Speaker 1: and sixties, and today, you know, you can get a

579
00:28:00,160 --> 00:28:02,560
Speaker 1: you know, an eighty inch TV for less than a

580
00:28:02,600 --> 00:28:06,400
Speaker 1: thousand dollars. For several hundred dollars. It's because well, it's

581
00:28:06,400 --> 00:28:08,680
Speaker 1: not meant to be repaired, it's meant to be disposed.

582
00:28:08,720 --> 00:28:10,800
Speaker 1: And they last a fairly long time for that matter.

583
00:28:12,200 --> 00:28:13,959
Speaker 1: But that's the idea here, is that, like, you know,

584
00:28:14,040 --> 00:28:16,160
Speaker 1: we keep changing things and it gets gets a little

585
00:28:16,200 --> 00:28:19,520
Speaker 1: better in a disposable society, for sure, But when it

586
00:28:19,560 --> 00:28:22,160
Speaker 1: comes to the issue of, you know, the consumer culture.

587
00:28:24,080 --> 00:28:26,119
Speaker 1: We try to make things as appealing as possible from

588
00:28:26,160 --> 00:28:29,320
Speaker 1: a cost standpoint, for sure with the TV analogy, but

589
00:28:29,480 --> 00:28:32,040
Speaker 1: also from something that we want to use over and

590
00:28:32,080 --> 00:28:34,960
Speaker 1: over and over again. Yeah, we want product and brand loyalty.

591
00:28:36,560 --> 00:28:41,160
Speaker 1: Isn't this essentially tied in a digital fashion? I mean,

592
00:28:41,200 --> 00:28:44,000
Speaker 1: can you go after Tide really cleans closed very very well?

593
00:28:44,040 --> 00:28:45,720
Speaker 1: It's all I want to use is Tide. Well, they

594
00:28:45,720 --> 00:28:47,560
Speaker 1: do a great job. Okay, P and G. So now

595
00:28:47,600 --> 00:28:48,760
Speaker 1: is there going to be a LOSSU against P and

596
00:28:48,800 --> 00:28:51,920
Speaker 1: gcs tied? So damn good? But you're not addicted to

597
00:28:51,920 --> 00:28:54,400
Speaker 1: it's got that yeah, but I'm addicted to that smell

598
00:28:54,400 --> 00:28:55,160
Speaker 1: and the clean.

599
00:28:57,240 --> 00:28:57,400
Speaker 3: You know.

600
00:28:57,520 --> 00:28:59,880
Speaker 1: And again, this is the way the legal system works.

601
00:28:59,880 --> 00:29:02,840
Speaker 1: It pushes boundaries for sure, and pushes a lot of buttons.

602
00:29:03,280 --> 00:29:05,920
Speaker 1: But I don't know, it's like we're battling over social

603
00:29:05,960 --> 00:29:08,600
Speaker 1: media as the bad guy here, and maybe it is

604
00:29:08,640 --> 00:29:12,520
Speaker 1: the smartphone. It's also probably a lot about us. It's

605
00:29:12,520 --> 00:29:17,120
Speaker 1: the damnedest thing that started with the tobacco settlements, and

606
00:29:17,160 --> 00:29:18,800
Speaker 1: that's a little bit different too in a sense. I

607
00:29:18,840 --> 00:29:22,280
Speaker 1: know that in this case, you know, there are documents

608
00:29:22,320 --> 00:29:26,000
Speaker 1: coming out from Facebook and those companies that said, yeah,

609
00:29:26,040 --> 00:29:29,719
Speaker 1: we've got an addictive product here, and we're keeping kids engaged,

610
00:29:29,760 --> 00:29:33,200
Speaker 1: but it also it's causing mental problems. It's a smoking

611
00:29:33,240 --> 00:29:36,400
Speaker 1: gun that executives knew their platforms harmed kids, but we

612
00:29:36,440 --> 00:29:39,520
Speaker 1: prioritize engagement in revenue. Anyway, I'm not sure if that's

613
00:29:39,560 --> 00:29:42,680
Speaker 1: legally damaging simply because like, Okay, we got a product

614
00:29:42,720 --> 00:29:45,600
Speaker 1: that's really really good and people, in this case kids

615
00:29:45,640 --> 00:29:48,800
Speaker 1: want to use it. Should that really be legally damaging?

616
00:29:50,680 --> 00:29:52,880
Speaker 1: I mean you can become addicted better to I guess

617
00:29:52,920 --> 00:29:56,920
Speaker 1: food or potato chips, and certainly smoking, then you could

618
00:29:57,040 --> 00:30:00,480
Speaker 1: social media or gun. I mean the argument fall apart

619
00:30:00,520 --> 00:30:03,280
Speaker 1: with weapons in that. Yeah, well, it's not a product

620
00:30:03,360 --> 00:30:06,240
Speaker 1: liability if it works as we sold it. Well, what

621
00:30:06,280 --> 00:30:09,160
Speaker 1: do you mean, Well, you're saying it's the product's dangerous.

622
00:30:09,160 --> 00:30:13,040
Speaker 1: It's the liability. It's not dangerous in a sense of

623
00:30:13,280 --> 00:30:17,760
Speaker 1: a defect. It's not defective at all. But you know,

624
00:30:17,760 --> 00:30:19,800
Speaker 1: it's saying, like a lighter, I burned my house down

625
00:30:19,840 --> 00:30:22,840
Speaker 1: because the lighter worked. Yeah, well, you know you took

626
00:30:22,880 --> 00:30:25,200
Speaker 1: the little bit lighter out and you pulled that little

627
00:30:25,200 --> 00:30:27,480
Speaker 1: wheel and it made a spark, and then your thumb

628
00:30:27,560 --> 00:30:29,360
Speaker 1: hit the button and made the buttane come out, and

629
00:30:29,360 --> 00:30:31,200
Speaker 1: now you've got a flame the cause your fired that

630
00:30:31,280 --> 00:30:33,440
Speaker 1: caused the house to burn down. No, no, it's not

631
00:30:33,520 --> 00:30:37,560
Speaker 1: the lighter's fault. At some point, you know, we do

632
00:30:37,640 --> 00:30:39,680
Speaker 1: have to take accountability here, and I know it's easier

633
00:30:39,680 --> 00:30:43,680
Speaker 1: said than done, because you know, raising my kids was hard,

634
00:30:43,960 --> 00:30:45,640
Speaker 1: and I don't know if I did, how good a

635
00:30:45,720 --> 00:30:48,000
Speaker 1: job I did, We don't know. I guess the standard

636
00:30:48,080 --> 00:30:52,440
Speaker 1: right now is you know, nobody is in prison. I mean,

637
00:30:52,600 --> 00:30:54,520
Speaker 1: if you st the par really low, neither my kids

638
00:30:54,560 --> 00:30:57,760
Speaker 1: are in prison. I think it's good enough, but tend

639
00:30:57,800 --> 00:31:02,000
Speaker 1: to be good, good people. Now, you may measure it differently,

640
00:31:02,040 --> 00:31:03,720
Speaker 1: and everyone does. As a parable, we don't know what

641
00:31:03,800 --> 00:31:05,719
Speaker 1: the yardstick is. What is it supposed to be, how

642
00:31:05,760 --> 00:31:08,479
Speaker 1: much money you make, how much education you have, what

643
00:31:08,560 --> 00:31:11,960
Speaker 1: you look like. I'm not quite sure, but everyone's different

644
00:31:11,960 --> 00:31:14,720
Speaker 1: in that regard. The one constant is it's damn near

645
00:31:14,760 --> 00:31:17,640
Speaker 1: in posset. It's really really hard to do. And to

646
00:31:17,680 --> 00:31:20,240
Speaker 1: simply let your kids be ferial and go, okay, well

647
00:31:20,320 --> 00:31:22,280
Speaker 1: you go here here's a phone, go have fun. Just

648
00:31:22,280 --> 00:31:26,000
Speaker 1: don't bother me. I know it's today's version of you know,

649
00:31:26,040 --> 00:31:27,920
Speaker 1: my mom and dad would go, hey, here's a TV.

650
00:31:28,000 --> 00:31:29,720
Speaker 1: Here's some ma Ree runs, or watch TV. Leave me

651
00:31:29,760 --> 00:31:33,040
Speaker 1: alone for a minute. You know, TV was the babysitter.

652
00:31:33,080 --> 00:31:34,880
Speaker 1: Now it's something digital. How you going to a restaurant,

653
00:31:34,920 --> 00:31:38,240
Speaker 1: how many kids or adults for that matter, are engaged

654
00:31:38,240 --> 00:31:41,320
Speaker 1: on the screen. You know, you've got the you've got

655
00:31:41,320 --> 00:31:44,720
Speaker 1: the tablet that you bring in with the cartoon on

656
00:31:44,840 --> 00:31:46,200
Speaker 1: it or game or whatever it is. And you know,

657
00:31:46,280 --> 00:31:48,160
Speaker 1: kids as young as three four five are sitting there

658
00:31:48,600 --> 00:31:51,080
Speaker 1: waiting for the meal to come out, and they're they're

659
00:31:51,120 --> 00:31:53,360
Speaker 1: engaged with a digital thing. You know, in spite of

660
00:31:53,360 --> 00:31:57,040
Speaker 1: engaging with the family, you give them a tablet and

661
00:31:57,080 --> 00:32:00,920
Speaker 1: they shut the hell up. It's a digital pacify. Yeah,

662
00:32:00,960 --> 00:32:02,959
Speaker 1: we've all done that in some regard help. You know,

663
00:32:03,040 --> 00:32:04,760
Speaker 1: back in the day when the mini and are still there,

664
00:32:04,760 --> 00:32:06,760
Speaker 1: but the you know minivans, Hey I got a TV.

665
00:32:06,760 --> 00:32:08,200
Speaker 1: I can put a video on for my kid in

666
00:32:08,240 --> 00:32:10,360
Speaker 1: the back seat, so they quit bugging the hell out

667
00:32:10,360 --> 00:32:12,520
Speaker 1: of me. We've all done that in some way, shape

668
00:32:12,600 --> 00:32:15,520
Speaker 1: or form. Some people more extreme than the others but

669
00:32:15,800 --> 00:32:17,440
Speaker 1: is it the fault of the You know, kids want

670
00:32:17,480 --> 00:32:19,640
Speaker 1: to watch NonStop. My kid love Toy Story when he

671
00:32:19,720 --> 00:32:21,400
Speaker 1: was growing up. Mean, we watch it once a day

672
00:32:21,440 --> 00:32:24,400
Speaker 1: for real. I have the movie on and then you

673
00:32:24,440 --> 00:32:26,040
Speaker 1: got to say, hey, listen, we need to turn it off.

674
00:32:26,080 --> 00:32:28,560
Speaker 1: Despite the tantrum they held, you're still at the day.

675
00:32:28,600 --> 00:32:31,280
Speaker 1: You have to be the gatekeeper here, not expecting a

676
00:32:31,280 --> 00:32:35,320
Speaker 1: big company like Meta or YouTube or Facebook or TikTok

677
00:32:35,400 --> 00:32:38,680
Speaker 1: to do that for us, because watch out for the consequence.

678
00:32:38,680 --> 00:32:40,840
Speaker 1: If we want that to happen as a society, then

679
00:32:41,360 --> 00:32:43,120
Speaker 1: watch out for the negative side, which is going to

680
00:32:43,120 --> 00:32:44,880
Speaker 1: be them going after Oh hey, wait a minute, Now

681
00:32:44,920 --> 00:32:48,560
Speaker 1: that's different. I was watching that. Yeah, well good, now

682
00:32:48,560 --> 00:32:51,480
Speaker 1: we're gonna shut down cable news or whatever it might

683
00:32:51,520 --> 00:32:54,920
Speaker 1: be that you're consuming, because essentially it's an algorithm. Let

684
00:32:54,920 --> 00:32:56,720
Speaker 1: me get a news update and we'll continue this thread

685
00:32:56,800 --> 00:32:59,040
Speaker 1: in a minute. A little bit different here, you know,

686
00:32:59,080 --> 00:33:01,200
Speaker 1: a high windy can. We have banned cell phones in

687
00:33:01,240 --> 00:33:05,240
Speaker 1: schools largely, which I think and for an educational perspective

688
00:33:05,280 --> 00:33:07,760
Speaker 1: and during instructional time. I think it's obviously that's a

689
00:33:07,760 --> 00:33:11,480
Speaker 1: no brainer. However, the idea, what are social media or

690
00:33:11,480 --> 00:33:11,920
Speaker 1: phones for?

691
00:33:11,960 --> 00:33:12,440
Speaker 2: That matter.

692
00:33:13,200 --> 00:33:15,520
Speaker 1: Schools have banned cell phones, as you know, and I

693
00:33:15,560 --> 00:33:17,280
Speaker 1: wonder now, as we're starting to get more data out

694
00:33:17,320 --> 00:33:20,480
Speaker 1: about this, that maybe the phone wasn't the problem, because

695
00:33:20,880 --> 00:33:23,480
Speaker 1: twenty five percent still of teachers say I have a

696
00:33:23,480 --> 00:33:27,160
Speaker 1: difficult time trying to kid keep the young people engaged. Well,

697
00:33:27,400 --> 00:33:29,000
Speaker 1: we thought it was cell phones, but it turns out

698
00:33:29,040 --> 00:33:31,000
Speaker 1: it's not. What else does it play here? I got

699
00:33:31,000 --> 00:33:32,840
Speaker 1: an idea. We'll share that just ahead here with my

700
00:33:32,840 --> 00:33:35,480
Speaker 1: guest Christine Miles after news on the Home of the

701
00:33:35,560 --> 00:33:38,680
Speaker 1: Red seven hundred ww Cincinnati. By the way, iHeartMedia and

702
00:33:38,880 --> 00:33:41,080
Speaker 1: the Big One. Salute Cincinnati's own Procter and Gamble. If

703
00:33:41,120 --> 00:33:43,040
Speaker 1: you've got someone there you'd like for us to recognize

704
00:33:43,080 --> 00:33:45,680
Speaker 1: on the air, text their name to five one eight

705
00:33:45,800 --> 00:33:51,320
Speaker 1: eight one and be listening. Flown me here on seven

706
00:33:51,400 --> 00:33:55,680
Speaker 1: hundred WWS. Schools across America locking up, snatching up kids

707
00:33:55,720 --> 00:33:59,000
Speaker 1: cell phones like their hot conquer band. So you got

708
00:33:59,040 --> 00:34:00,719
Speaker 1: bell to bell bands, you got the big mad night

709
00:34:00,760 --> 00:34:04,720
Speaker 1: of pousage, you got confiscation. Policies. Ohio, Kentucky, Indiana all

710
00:34:04,760 --> 00:34:08,799
Speaker 1: require school districts to implement policies banning those phones during

711
00:34:08,800 --> 00:34:11,640
Speaker 1: instructional class time. And each state's so a little bit

712
00:34:11,640 --> 00:34:13,600
Speaker 1: different than that. Every but largely most states have this

713
00:34:13,680 --> 00:34:14,240
Speaker 1: conon policy.

714
00:34:14,280 --> 00:34:14,959
Speaker 2: But here's the question.

715
00:34:15,000 --> 00:34:17,200
Speaker 1: You're ready for the question, here's the question no one's

716
00:34:17,239 --> 00:34:20,480
Speaker 1: asking us. So new studies come out, and not just new,

717
00:34:20,520 --> 00:34:23,440
Speaker 1: but preceding studies have come out. The shows teachers spend

718
00:34:23,640 --> 00:34:27,359
Speaker 1: somewhere between twenty five and thirty something percent of their day,

719
00:34:27,440 --> 00:34:29,600
Speaker 1: so between a quarter and a third of their instructional

720
00:34:29,640 --> 00:34:35,040
Speaker 1: day trying to get kids to listen despite strict cell

721
00:34:35,040 --> 00:34:40,400
Speaker 1: phone bans. That hasn't changed. So our phones the core problem?

722
00:34:40,560 --> 00:34:41,880
Speaker 1: Or is it just a scapegoat?

723
00:34:41,880 --> 00:34:42,080
Speaker 4: On that?

724
00:34:42,280 --> 00:34:45,800
Speaker 1: Christine Miles, she's a psychologist and works with school systems

725
00:34:45,800 --> 00:34:48,759
Speaker 1: across the country. Founder of the Listening Past. Christine, Welcome

726
00:34:48,840 --> 00:34:50,720
Speaker 1: are you? I'm great.

727
00:34:50,920 --> 00:34:53,520
Speaker 5: I'm so glad we're talking about this, so thanks for

728
00:34:53,560 --> 00:34:54,040
Speaker 5: having me on.

729
00:34:54,200 --> 00:34:57,160
Speaker 1: Yeah, you know, I was thinking about this before a conversation,

730
00:34:57,640 --> 00:35:00,000
Speaker 1: and you know I was not. I don't know about you,

731
00:35:00,160 --> 00:35:02,000
Speaker 1: but I was not part of the cell phone generation.

732
00:35:02,080 --> 00:35:04,680
Speaker 1: Obviously I had my mobile down and had it for

733
00:35:05,000 --> 00:35:08,399
Speaker 1: twenty thirty years. But I look back and go, wow,

734
00:35:08,440 --> 00:35:10,000
Speaker 1: we didn't have this problem when I was a kid.

735
00:35:10,160 --> 00:35:13,200
Speaker 1: As most parents and grandparents certainly say things are different.

736
00:35:13,200 --> 00:35:14,719
Speaker 1: Of course they're supposed to be different. That's how the

737
00:35:14,760 --> 00:35:17,520
Speaker 1: world this is, That's how America's designed. I guess this

738
00:35:17,560 --> 00:35:20,200
Speaker 1: would be like what if I in school, if I

739
00:35:20,239 --> 00:35:22,719
Speaker 1: were allowed to bring my TV with a cable on

740
00:35:22,800 --> 00:35:26,319
Speaker 1: it and I could watch MTV, What that would do

741
00:35:26,520 --> 00:35:27,600
Speaker 1: for my ability to learn?

742
00:35:27,680 --> 00:35:30,840
Speaker 2: It's the same thing, right it really.

743
00:35:30,640 --> 00:35:34,239
Speaker 5: That's beautifully said, That's exactly what it is. We don't

744
00:35:34,239 --> 00:35:39,120
Speaker 5: need We just don't need the cord. Yeah, so so,

745
00:35:39,640 --> 00:35:43,239
Speaker 5: But I so appreciate the question because it is a

746
00:35:43,280 --> 00:35:46,080
Speaker 5: big It is a big, big problem, and I'm so

747
00:35:46,200 --> 00:35:47,680
Speaker 5: glad the schools are finally.

748
00:35:47,400 --> 00:35:48,080
Speaker 2: Taking this step.

749
00:35:48,120 --> 00:35:50,359
Speaker 5: I mean, we know better, we do better. I mean

750
00:35:50,680 --> 00:35:53,759
Speaker 5: I remember I grew up when smoking was allowed in

751
00:35:53,800 --> 00:35:55,880
Speaker 5: most places, but then we realized it was harmful for

752
00:35:55,920 --> 00:35:58,520
Speaker 5: your health, so we took it outside and we made

753
00:35:58,520 --> 00:36:01,960
Speaker 5: smoking areas and things like that. So setting some limits

754
00:36:02,040 --> 00:36:05,080
Speaker 5: is similar to that, Because I think this is like

755
00:36:05,239 --> 00:36:08,000
Speaker 5: that the ships sailed before we knew what the repercussions were.

756
00:36:08,680 --> 00:36:12,239
Speaker 5: And I don't think it's the root cause it's just

757
00:36:12,320 --> 00:36:15,840
Speaker 5: that in gasoline to the already raging fire. In terms

758
00:36:15,840 --> 00:36:20,600
Speaker 5: of the problem of kids, struggling to listen. There's also

759
00:36:20,719 --> 00:36:22,799
Speaker 5: some rebound effects here. So you take the phones out

760
00:36:22,840 --> 00:36:26,880
Speaker 5: of the schools, and attention spans are still harder to

761
00:36:26,960 --> 00:36:29,759
Speaker 5: come by because when if they're on their phones and

762
00:36:29,800 --> 00:36:33,040
Speaker 5: on devices, which the numbers are kind of staggering. You know,

763
00:36:33,280 --> 00:36:36,000
Speaker 5: these are spending nine hours plus a day outside of

764
00:36:36,040 --> 00:36:38,400
Speaker 5: school work. That's a lot of time. So it's not

765
00:36:38,440 --> 00:36:41,960
Speaker 5: like your brain's going to recover just because you don't

766
00:36:42,000 --> 00:36:44,960
Speaker 5: have it in school. But again we're still it's still

767
00:36:45,000 --> 00:36:47,440
Speaker 5: not the root cause. In my opinion, the root cause

768
00:36:47,560 --> 00:36:49,680
Speaker 5: is that we're told, not taught, and this is a

769
00:36:49,680 --> 00:36:52,680
Speaker 5: problem since been documented since the nineteen fifties.

770
00:36:53,120 --> 00:36:55,320
Speaker 1: Yeah, I was making that case, and this kind of

771
00:36:55,360 --> 00:36:57,839
Speaker 1: a theme show today on this I had earlier. We're

772
00:36:57,880 --> 00:37:01,080
Speaker 1: talking about the social media live trial. It's about to

773
00:37:01,120 --> 00:37:04,000
Speaker 1: happen that social media and TikTok and snapchat and instant,

774
00:37:04,080 --> 00:37:07,239
Speaker 1: all those platforms are addictive by design and will ruin

775
00:37:07,239 --> 00:37:09,279
Speaker 1: your kid's life. Yeah, if they go uncheck, if they're

776
00:37:09,280 --> 00:37:12,319
Speaker 1: completely fear aal online with no roadblocks up, But that's

777
00:37:12,320 --> 00:37:14,080
Speaker 1: on the parent. I don't think that's on the company

778
00:37:14,280 --> 00:37:16,920
Speaker 1: also made the case that the social is not the problem.

779
00:37:16,960 --> 00:37:19,680
Speaker 1: The phone itself is the problem. It is like literal,

780
00:37:19,760 --> 00:37:22,239
Speaker 1: I mean, it's it's like bringing it's a handheld damn

781
00:37:22,320 --> 00:37:24,520
Speaker 1: casino is what it is. Right, It's like I've got

782
00:37:24,560 --> 00:37:27,560
Speaker 1: everything out that it's not social. It's I can message,

783
00:37:27,600 --> 00:37:29,560
Speaker 1: I can look at videos, i can watch porn, I

784
00:37:29,600 --> 00:37:32,040
Speaker 1: can check sports, I can bet online, I can I

785
00:37:32,080 --> 00:37:33,880
Speaker 1: can do all of these things in the problem in

786
00:37:33,880 --> 00:37:36,520
Speaker 1: my hand. That's really it's not social. It's the phone.

787
00:37:38,080 --> 00:37:40,919
Speaker 5: Well, it's it's all the things that are coming. It's

788
00:37:40,960 --> 00:37:43,880
Speaker 5: the world coming at kids, not the world, you know,

789
00:37:44,080 --> 00:37:47,040
Speaker 5: not kids exploring the world and what's finding them.

790
00:37:47,800 --> 00:37:48,040
Speaker 4: You know.

791
00:37:48,480 --> 00:37:50,919
Speaker 5: Again, there's could be a lot of debate about algorithms

792
00:37:50,960 --> 00:37:53,160
Speaker 5: and how we're targeting just espe. We could have debates

793
00:37:53,160 --> 00:37:56,640
Speaker 5: about cigarette companies targeting the brain and making things addictive.

794
00:37:56,800 --> 00:38:01,839
Speaker 5: So there's there's it's a very complex issue, and I think, yes,

795
00:38:02,080 --> 00:38:05,800
Speaker 5: parental control is important schools. Taking these steps is important

796
00:38:05,800 --> 00:38:08,600
Speaker 5: when again, when we know better, we do better, and

797
00:38:08,880 --> 00:38:12,200
Speaker 5: we still be One of the things taking this time

798
00:38:12,280 --> 00:38:15,719
Speaker 5: away in schools is that it forces us to do

799
00:38:16,080 --> 00:38:20,560
Speaker 5: something else. So, you know, I've talked with parents, as

800
00:38:20,600 --> 00:38:23,279
Speaker 5: you know, a family therapist and one time a parent

801
00:38:23,360 --> 00:38:25,680
Speaker 5: said to me, what if my child won't eat anything,

802
00:38:25,840 --> 00:38:28,440
Speaker 5: drink anything but soda? And I said, well, if you

803
00:38:28,480 --> 00:38:31,520
Speaker 5: take soda away in the house, they'll get thirsty eventually.

804
00:38:32,120 --> 00:38:35,239
Speaker 5: So you know they'll eventually drink water if water is

805
00:38:35,239 --> 00:38:37,759
Speaker 5: all there is. So what will happen is kids will

806
00:38:37,800 --> 00:38:42,000
Speaker 5: start to reacclimate towards socializing with each other more than

807
00:38:42,040 --> 00:38:44,360
Speaker 5: they will to the phones when the phones aren't in

808
00:38:44,400 --> 00:38:46,839
Speaker 5: front of them. But it's two at tempting, So we

809
00:38:46,880 --> 00:38:49,879
Speaker 5: need to remove those barriers. But then we also got

810
00:38:49,880 --> 00:38:51,840
Speaker 5: to give them the skills. I mean, we've been telling

811
00:38:52,280 --> 00:38:55,400
Speaker 5: we've been telling people to listen kids, starting with kids

812
00:38:55,440 --> 00:38:58,839
Speaker 5: from like I said, this is a problem documented back

813
00:38:58,880 --> 00:39:01,960
Speaker 5: to the nineteen fifties where we don't have formal listening

814
00:39:02,120 --> 00:39:06,000
Speaker 5: education and classrooms. So we tell them expecting the ears

815
00:39:06,080 --> 00:39:09,560
Speaker 5: to do the work instead of building this as a skill,

816
00:39:09,600 --> 00:39:10,840
Speaker 5: which is what it is.

817
00:39:10,920 --> 00:39:12,560
Speaker 1: Yeah, yeah, I mean I saw we should be addressing

818
00:39:12,600 --> 00:39:16,399
Speaker 1: in school. She's a schools that's Christine Mouse, psychologist. Let's

819
00:39:16,440 --> 00:39:18,160
Speaker 1: back up a little bit what goes on in the

820
00:39:18,239 --> 00:39:22,400
Speaker 1: adolescent brain from a developmental psychology perspective, what's actually happening

821
00:39:22,440 --> 00:39:24,320
Speaker 1: when their kids are always on their phone? And you

822
00:39:24,360 --> 00:39:26,719
Speaker 1: metch you know, nine, ten, twelve or more hours a day.

823
00:39:28,200 --> 00:39:31,880
Speaker 5: Well, so I will say that I can talk about

824
00:39:31,880 --> 00:39:35,400
Speaker 5: this from the This is not my core expertise. I'm

825
00:39:35,440 --> 00:39:39,400
Speaker 5: a systems family therapist. But what I do know and

826
00:39:39,440 --> 00:39:42,279
Speaker 5: what the research is, it's just a it's a dopamine hit.

827
00:39:42,520 --> 00:39:45,920
Speaker 5: It's a constant dopamine hit. It is it is asking

828
00:39:46,000 --> 00:39:48,319
Speaker 5: like a drug. Now we can talk about that from

829
00:39:48,360 --> 00:39:52,040
Speaker 5: an adult perspective, and we know how difficult that is.

830
00:39:52,080 --> 00:39:54,160
Speaker 5: You talked about family, you talked about porn. These are

831
00:39:54,160 --> 00:39:57,360
Speaker 5: things for adults that they struggle with in terms of

832
00:39:57,400 --> 00:39:59,920
Speaker 5: the time on the phone. When you're bringing to the

833
00:40:00,000 --> 00:40:04,040
Speaker 5: developing we're in a whole different realm here. So we

834
00:40:04,040 --> 00:40:07,520
Speaker 5: were not forming the pathways that need to be formed

835
00:40:07,960 --> 00:40:13,040
Speaker 5: in early childhood and in adolescence, which is really why

836
00:40:13,120 --> 00:40:17,440
Speaker 5: it's so dangerous, because we're changing those neuropathways we're getting

837
00:40:17,600 --> 00:40:20,279
Speaker 5: they're having a hard time self soothing, They're having a

838
00:40:20,280 --> 00:40:22,239
Speaker 5: hard time you know. This is why we know the

839
00:40:22,280 --> 00:40:25,200
Speaker 5: mental health issues are spiking, not just the attention issues.

840
00:40:25,280 --> 00:40:28,400
Speaker 5: This is very well documented now in the in the literature.

841
00:40:28,920 --> 00:40:33,160
Speaker 1: Okay, but there's also a separation factor here. I guess

842
00:40:33,280 --> 00:40:36,520
Speaker 1: for lack of a better word, we're seeing some students

843
00:40:36,520 --> 00:40:40,280
Speaker 1: are you know, they're experiencing genuine anxiety and panic attacks

844
00:40:40,280 --> 00:40:43,960
Speaker 1: when they're separated from their phones during these bands. Is

845
00:40:43,960 --> 00:40:46,960
Speaker 1: that a clinical concern we should take seriously or is

846
00:40:47,000 --> 00:40:48,799
Speaker 1: that a warning for everyone else?

847
00:40:50,160 --> 00:40:52,920
Speaker 5: Well, I think it's a withdrawal issue. I think this

848
00:40:53,080 --> 00:40:56,480
Speaker 5: is exactly you know what, let's go back to something simple.

849
00:40:56,719 --> 00:40:58,960
Speaker 5: You know, we get to the pacifier because it helps

850
00:40:59,000 --> 00:41:02,160
Speaker 5: them sue themselves and when it's time, when the parents go, okay,

851
00:41:02,160 --> 00:41:04,719
Speaker 5: it's time to now wean off of that. There's some

852
00:41:04,880 --> 00:41:07,600
Speaker 5: peers that when we have to say goodbye to something

853
00:41:07,600 --> 00:41:10,600
Speaker 5: that was helping us south just because it helps us

854
00:41:10,600 --> 00:41:12,680
Speaker 5: suit doesn't mean it's good for us. This is not

855
00:41:12,719 --> 00:41:15,360
Speaker 5: how we want we want kids to regulate is through

856
00:41:15,680 --> 00:41:18,400
Speaker 5: a device and through having to have constant you know,

857
00:41:18,520 --> 00:41:22,840
Speaker 5: attention coming at us, so that our constant stimulus. So

858
00:41:22,960 --> 00:41:26,520
Speaker 5: we're we're not thinking, feeling, or even operating in the

859
00:41:26,600 --> 00:41:30,120
Speaker 5: present and that's the danger zone. So this is where

860
00:41:30,440 --> 00:41:33,080
Speaker 5: but we've got to fill that gap so that they're

861
00:41:33,120 --> 00:41:36,719
Speaker 5: not as anxious again, this is where the socialization is

862
00:41:36,760 --> 00:41:40,320
Speaker 5: the answer. It's not just take it away, it's the

863
00:41:40,400 --> 00:41:42,439
Speaker 5: only way to stop the behavior to start a new one.

864
00:41:42,680 --> 00:41:45,000
Speaker 5: So you take the phones away, now you have to

865
00:41:45,040 --> 00:41:49,320
Speaker 5: replace it with more socialization, more skill building around listening.

866
00:41:49,320 --> 00:41:51,960
Speaker 5: Which is why again teachers have been telling kids to

867
00:41:52,000 --> 00:41:55,759
Speaker 5: listen in the classrooms for you know, decades, and this

868
00:41:55,960 --> 00:41:58,600
Speaker 5: is a constant battle because it's hard to pay attention

869
00:41:58,719 --> 00:42:01,200
Speaker 5: for eight hours a day, especially if you don't have

870
00:42:01,280 --> 00:42:03,800
Speaker 5: the skill. If I said, you go run a marathon

871
00:42:03,960 --> 00:42:06,279
Speaker 5: that you know how to run, but get into the

872
00:42:07,000 --> 00:42:09,799
Speaker 5: get to the end of the race. Got you gotta train,

873
00:42:09,840 --> 00:42:11,920
Speaker 5: you gotta build the muscle. And so this is our

874
00:42:12,000 --> 00:42:16,359
Speaker 5: opportunity is to finally solve this problemhich is what I'm

875
00:42:16,480 --> 00:42:19,879
Speaker 5: committed to doing, is to is to provide education from

876
00:42:20,080 --> 00:42:24,240
Speaker 5: elementary classrooms to corporations. Because it doesn't matter what age

877
00:42:24,239 --> 00:42:26,960
Speaker 5: you are, you only you know, a very small percentage,

878
00:42:27,000 --> 00:42:29,560
Speaker 5: less than two percent have any formal listening training.

879
00:42:29,640 --> 00:42:33,000
Speaker 1: Yeah, she is Christine Miles. She's a psychologist of what

880
00:42:33,040 --> 00:42:34,720
Speaker 1: it's cost to you not to listen to the founder

881
00:42:34,760 --> 00:42:37,600
Speaker 1: of the listening path or talking about school cell phone

882
00:42:37,640 --> 00:42:39,560
Speaker 1: And then we have that in Ohio, Kentucky, Indiana to

883
00:42:39,600 --> 00:42:42,879
Speaker 1: a large degree. But the question nobody's asking that I'm

884
00:42:42,880 --> 00:42:44,680
Speaker 1: bringing in this morning is their studies are coming out

885
00:42:44,680 --> 00:42:47,440
Speaker 1: and they're showing that teachers still spend a quarter or

886
00:42:47,440 --> 00:42:49,839
Speaker 1: more of their workday, of their instruction day, just trying

887
00:42:49,840 --> 00:42:51,960
Speaker 1: to get kids to listen. Then that was before and

888
00:42:51,960 --> 00:42:54,200
Speaker 1: now after cell phone band, so our cell phone is

889
00:42:54,239 --> 00:42:57,080
Speaker 1: really the problem. They really wreck kids lives. I've also

890
00:42:57,160 --> 00:42:59,279
Speaker 1: seen studies that pointed out early it said that that,

891
00:42:59,600 --> 00:43:01,600
Speaker 1: you know, the extreme is if you spend all your

892
00:43:01,600 --> 00:43:03,560
Speaker 1: time on the phone, it's really really bad for you.

893
00:43:03,560 --> 00:43:05,359
Speaker 1: I mean, it's horrible for your development, all these things

894
00:43:05,360 --> 00:43:09,120
Speaker 1: we're talking about. That's absolutely true. But kids who do

895
00:43:09,200 --> 00:43:11,080
Speaker 1: aren't on social or don't have phones, who don't use

896
00:43:11,120 --> 00:43:14,440
Speaker 1: them aren't allowed to tend to also suffer some of

897
00:43:14,440 --> 00:43:16,680
Speaker 1: those same symptoms. May not the extreme we're talking about

898
00:43:16,760 --> 00:43:19,960
Speaker 1: with overusage, but under usage. There's a sweet spot right

899
00:43:20,000 --> 00:43:22,279
Speaker 1: in the middle. And when I hear that, I go, Okay.

900
00:43:22,400 --> 00:43:25,680
Speaker 1: Kids if they're exposed a little social media and able

901
00:43:25,719 --> 00:43:29,000
Speaker 1: to congregate online with friends, because that's how kids socialize today.

902
00:43:29,360 --> 00:43:31,399
Speaker 1: I was a kid where we'd socialized at the mall

903
00:43:31,560 --> 00:43:34,239
Speaker 1: or the arcade, and kids today do it digitally. So

904
00:43:34,239 --> 00:43:36,200
Speaker 1: we have to lean into that. Is this just a

905
00:43:36,320 --> 00:43:39,160
Speaker 1: lesson that we are woefully behind how we educate kids

906
00:43:39,200 --> 00:43:41,719
Speaker 1: in America still today, because we're teaching them like we

907
00:43:41,760 --> 00:43:44,120
Speaker 1: did a couple hundred years ago. There's a you know,

908
00:43:44,160 --> 00:43:46,279
Speaker 1: maybe it's instead of a blackboard, it's a whiteboard or

909
00:43:46,280 --> 00:43:49,719
Speaker 1: a smartboard, but you're still it's rote memorization. It's all

910
00:43:49,719 --> 00:43:52,279
Speaker 1: these things we've taught kids largely the same way. If

911
00:43:52,600 --> 00:43:56,760
Speaker 1: phones and social media, Christine, are changing kids' brains, shouldn't

912
00:43:56,800 --> 00:43:59,959
Speaker 1: we be adopting the school curricula to meet the way

913
00:44:00,120 --> 00:44:02,640
Speaker 1: kids learn now as opposed to how they did a

914
00:44:02,680 --> 00:44:03,680
Speaker 1: couple hundred years ago.

915
00:44:05,200 --> 00:44:07,480
Speaker 5: Well, you're this is such a good point. I mean,

916
00:44:07,520 --> 00:44:09,640
Speaker 5: we we know that just what we know about the

917
00:44:10,239 --> 00:44:14,680
Speaker 5: neurodivergency and the way kids learn that. Look, we're you know,

918
00:44:14,840 --> 00:44:16,719
Speaker 5: you and I could go back and say, well, you know,

919
00:44:17,120 --> 00:44:20,239
Speaker 5: if somebody was dyslexic or had genuinely had a d

920
00:44:20,440 --> 00:44:23,239
Speaker 5: D or things like that, this wasn't necessarily talked about

921
00:44:23,480 --> 00:44:27,080
Speaker 5: or diagnosed to the same degree. We once could argue that,

922
00:44:27,480 --> 00:44:29,600
Speaker 5: you know, not everybody has a d D that, but

923
00:44:29,680 --> 00:44:31,640
Speaker 5: it is real. It is a real thing. So we

924
00:44:31,760 --> 00:44:35,600
Speaker 5: just know that teachers have a lot of divergent learning

925
00:44:35,640 --> 00:44:38,600
Speaker 5: needs and so it's really about meeting kids where they are,

926
00:44:38,640 --> 00:44:40,680
Speaker 5: which is part of why the listening is hard too,

927
00:44:40,760 --> 00:44:43,960
Speaker 5: because kids needs are different, which is why this is

928
00:44:44,000 --> 00:44:47,479
Speaker 5: a this you're The point you're making is I think

929
00:44:47,560 --> 00:44:50,000
Speaker 5: and I which is where my heart and soul is

930
00:44:50,000 --> 00:44:52,640
Speaker 5: is this is a systemic problem. We're not going to

931
00:44:52,719 --> 00:44:55,719
Speaker 5: fix this with one thing. Again, we know that that

932
00:44:55,880 --> 00:45:00,560
Speaker 5: phone that what we're trying to prevent is is keeping

933
00:45:00,600 --> 00:45:04,480
Speaker 5: them off of engaging with each other, engaging with the future,

934
00:45:04,520 --> 00:45:07,879
Speaker 5: and engaging with the with the core curriculum. Like you said,

935
00:45:07,920 --> 00:45:10,760
Speaker 5: take the TV out of the classroom, that's just common sense.

936
00:45:10,840 --> 00:45:13,279
Speaker 5: Right then we have the issue of what we do

937
00:45:13,360 --> 00:45:15,600
Speaker 5: at home and how we limit time. We know that

938
00:45:15,680 --> 00:45:19,160
Speaker 5: past the screen time, the scrolling, the doom scrolling, that's

939
00:45:19,239 --> 00:45:23,160
Speaker 5: not super productive and that can get that's very addictive. Well,

940
00:45:23,239 --> 00:45:26,080
Speaker 5: you know, then there's some socialization. How can you mitigate

941
00:45:26,080 --> 00:45:28,360
Speaker 5: that with socialization? And then you get to the but

942
00:45:28,520 --> 00:45:30,640
Speaker 5: you take all that and you cure all that, you

943
00:45:30,719 --> 00:45:33,279
Speaker 5: still have this learning problem and you still have this

944
00:45:33,320 --> 00:45:39,800
Speaker 5: listening problem. To systemic communication problem. We focus on speaking, telling, knowing,

945
00:45:40,239 --> 00:45:44,120
Speaker 5: and test scores versus how we're learning, and that's what AI,

946
00:45:45,080 --> 00:45:46,960
Speaker 5: in my opinion, is going to come in and change

947
00:45:47,040 --> 00:45:49,279
Speaker 5: is that. You know, we had the calculator. Now we

948
00:45:49,360 --> 00:45:52,240
Speaker 5: have something that can do the formulators but have formulas.

949
00:45:52,280 --> 00:45:55,120
Speaker 5: But how can you explain it, How can you make

950
00:45:55,239 --> 00:45:57,440
Speaker 5: sense out of it? How can you show up as

951
00:45:57,440 --> 00:45:59,680
Speaker 5: a person that knows how to collaborate? And these are

952
00:45:59,719 --> 00:46:02,120
Speaker 5: all the skills that are at the core of what's

953
00:46:02,160 --> 00:46:06,200
Speaker 5: going to make somebody successful in the future. Starting we

954
00:46:06,320 --> 00:46:09,200
Speaker 5: got to start teaching that at a very early age,

955
00:46:09,239 --> 00:46:11,719
Speaker 5: as early as first grade, so that they're ready. And

956
00:46:11,760 --> 00:46:14,440
Speaker 5: this is where we have to fit this systemically, so

957
00:46:14,440 --> 00:46:17,200
Speaker 5: that we're teaching the skills so everybody is a common

958
00:46:17,280 --> 00:46:20,279
Speaker 5: language is how so they can understand.

959
00:46:20,320 --> 00:46:22,360
Speaker 1: So there's another factor here in my mind that this

960
00:46:22,440 --> 00:46:25,040
Speaker 1: whole thing and I get it. There's a lot of

961
00:46:25,040 --> 00:46:28,480
Speaker 1: talk about phones descrying attention spans, and the argument is

962
00:46:28,520 --> 00:46:30,239
Speaker 1: whether the phone is the cause or just the most

963
00:46:30,239 --> 00:46:33,279
Speaker 1: convenient delivery system for a culture that's already dopamine driven

964
00:46:33,320 --> 00:46:36,280
Speaker 1: and overstimulate. I mean, you know, parents are were upset

965
00:46:36,280 --> 00:46:37,840
Speaker 1: with the cell phone bands because they want to be

966
00:46:37,840 --> 00:46:39,880
Speaker 1: able to get a hold of their kid instantly at

967
00:46:39,920 --> 00:46:43,000
Speaker 1: any time during an emergency. But as an excuse to go.

968
00:46:43,160 --> 00:46:45,480
Speaker 1: I can text you during class because parents are also

969
00:46:45,600 --> 00:46:48,120
Speaker 1: anxious all the time as well, and it trickles down

970
00:46:48,160 --> 00:46:50,440
Speaker 1: that we're all anxious and all the time. But I

971
00:46:50,440 --> 00:46:54,479
Speaker 1: think it's interesting, is that. So the way to beat

972
00:46:54,520 --> 00:46:57,000
Speaker 1: this whole thing is to simply use AI and use

973
00:46:57,040 --> 00:46:59,880
Speaker 1: the algorithms for good as opposed to evil, if you

974
00:47:00,000 --> 00:47:02,960
Speaker 1: want to call social media evil, and that is educators

975
00:47:03,080 --> 00:47:07,200
Speaker 1: and the system should be creating platforms much like TikTok

976
00:47:07,360 --> 00:47:10,840
Speaker 1: and snapchat in insta that feed that feeds a student

977
00:47:10,880 --> 00:47:13,320
Speaker 1: a steady diet of what they're interested in to learn,

978
00:47:13,800 --> 00:47:16,200
Speaker 1: that continues to push stuff towards them and challenge them

979
00:47:16,239 --> 00:47:18,640
Speaker 1: and learn what their likes and dislikes are and try

980
00:47:18,680 --> 00:47:22,839
Speaker 1: and strengthen those dislikes and make everything better. Use use

981
00:47:22,880 --> 00:47:25,880
Speaker 1: the technology for good instead of social media. But the

982
00:47:26,000 --> 00:47:28,239
Speaker 1: problem with that is now you're going to replace all

983
00:47:28,280 --> 00:47:31,880
Speaker 1: of these teachers and all these administrators in schools with

984
00:47:32,040 --> 00:47:35,760
Speaker 1: something that's digital. That means now that threatens the teachers' unions,

985
00:47:35,880 --> 00:47:40,000
Speaker 1: That threatens the administrators and the whole construct of schools

986
00:47:40,000 --> 00:47:42,400
Speaker 1: in general. Because guess what if I can do this

987
00:47:42,480 --> 00:47:45,360
Speaker 1: with my phone much like we've seen, you know, broadcast, TV,

988
00:47:45,440 --> 00:47:48,400
Speaker 1: go away radio, everything else, newspapers for example, because of

989
00:47:48,600 --> 00:47:52,239
Speaker 1: the digital age that now threatens the livelihood of the

990
00:47:52,440 --> 00:47:55,680
Speaker 1: education class and we can't have that in America. And

991
00:47:55,719 --> 00:47:57,960
Speaker 1: so what winds up happening is it's disconnect between the

992
00:47:58,040 --> 00:47:58,840
Speaker 1: kids in the classroom.

993
00:47:58,880 --> 00:47:59,399
Speaker 2: Am I wrong?

994
00:48:00,880 --> 00:48:04,319
Speaker 5: Well, here's what I think. I so, you know, I

995
00:48:04,400 --> 00:48:06,960
Speaker 5: yes again the world. It's just like we could be

996
00:48:07,000 --> 00:48:08,720
Speaker 5: saying the same thing about corporate America.

997
00:48:08,760 --> 00:48:09,160
Speaker 2: The road.

998
00:48:09,480 --> 00:48:12,640
Speaker 5: The road things can be replaced, well, can't be replaced

999
00:48:12,680 --> 00:48:16,280
Speaker 5: by the human skills. And that's one of the things

1000
00:48:16,280 --> 00:48:19,480
Speaker 5: that I think teachers are getting away from, and not

1001
00:48:19,600 --> 00:48:24,680
Speaker 5: by the doing because there's so much pressure to teach

1002
00:48:24,719 --> 00:48:29,000
Speaker 5: to these core ideas and curriculum and the standards, is

1003
00:48:29,040 --> 00:48:32,359
Speaker 5: that they're getting away from the human part of the job,

1004
00:48:32,400 --> 00:48:35,480
Speaker 5: which is really how we develop kids, how we nurture kids.

1005
00:48:35,640 --> 00:48:37,480
Speaker 5: And so this is going to be the heart of

1006
00:48:38,000 --> 00:48:41,160
Speaker 5: what happens in the school and what teachers love to

1007
00:48:41,160 --> 00:48:43,680
Speaker 5: do and why most teachers get into the work. So

1008
00:48:43,840 --> 00:48:46,319
Speaker 5: I think it's not that they'll be replaced as to

1009
00:48:46,360 --> 00:48:48,000
Speaker 5: what the emphasis.

1010
00:48:47,400 --> 00:48:49,000
Speaker 2: Is that needs to change.

1011
00:48:49,200 --> 00:48:50,960
Speaker 5: And that's the same thing that I see on the

1012
00:48:51,000 --> 00:48:53,640
Speaker 5: corporate side, that if you want to. You have to

1013
00:48:53,719 --> 00:48:57,320
Speaker 5: drive that value as a what in your job because

1014
00:48:57,520 --> 00:49:01,760
Speaker 5: some of the redundancies can be and so the answer

1015
00:49:01,800 --> 00:49:04,880
Speaker 5: isn't more time on screens. The answer is more connection

1016
00:49:05,880 --> 00:49:07,879
Speaker 5: in terms of how we raise the kids and how

1017
00:49:07,920 --> 00:49:11,400
Speaker 5: we teach them, and how we help them connect through

1018
00:49:11,719 --> 00:49:16,319
Speaker 5: language and through interaction, so that everything they learn in

1019
00:49:16,400 --> 00:49:19,839
Speaker 5: this kind of this fast paced digital world and what's

1020
00:49:19,840 --> 00:49:22,920
Speaker 5: coming at them, then they can manage their emotions. They

1021
00:49:22,920 --> 00:49:25,480
Speaker 5: can manage the emotions of others, they can develop empathy.

1022
00:49:25,840 --> 00:49:28,520
Speaker 5: They have the things that the AI and the machines

1023
00:49:28,560 --> 00:49:31,120
Speaker 5: don't have. And that's the risk is that we're tipping

1024
00:49:31,160 --> 00:49:33,839
Speaker 5: over into too much of the screen time.

1025
00:49:34,200 --> 00:49:34,399
Speaker 2: Right.

1026
00:49:34,760 --> 00:49:37,759
Speaker 1: She is Christine Miles, psychologist. Her book is What Is

1027
00:49:37,840 --> 00:49:40,439
Speaker 1: Costing You Not to Listen? Founder of the Listening Path.

1028
00:49:40,560 --> 00:49:41,680
Speaker 1: Christine Miles thanks at the time.

1029
00:49:41,719 --> 00:49:44,600
Speaker 2: I appreciate it, appreciate the conversation.

1030
00:49:44,680 --> 00:49:46,040
Speaker 5: It's really really helpful.

1031
00:49:46,440 --> 00:49:49,680
Speaker 1: I think I just made a case here teachers can

1032
00:49:49,719 --> 00:49:54,239
Speaker 1: be replaced. This is believe me, this is like, this

1033
00:49:54,320 --> 00:50:00,000
Speaker 1: is dangerous territory. If you could come up with an algorithm,

1034
00:50:00,120 --> 00:50:02,560
Speaker 1: and it's easy to do because we've seen this replicated

1035
00:50:02,600 --> 00:50:05,720
Speaker 1: time and time again, that would teach kids on their level,

1036
00:50:05,760 --> 00:50:08,360
Speaker 1: meaning it feeds them a steady diet. The algorithm feeds

1037
00:50:08,400 --> 00:50:10,360
Speaker 1: them a steady die of things they're interested in and

1038
00:50:10,560 --> 00:50:13,600
Speaker 1: expands their knowledge base in learning and kind of sort

1039
00:50:13,640 --> 00:50:15,520
Speaker 1: of tricks them into learning where it becomes fun and

1040
00:50:15,600 --> 00:50:18,600
Speaker 1: engaging on a personal level, just like social media is.

1041
00:50:19,040 --> 00:50:20,759
Speaker 1: And now they're hooked on this, and you put that

1042
00:50:20,840 --> 00:50:23,440
Speaker 1: in the classroom and ban the phone and give them

1043
00:50:23,480 --> 00:50:26,600
Speaker 1: a device that is the alternate to social media and

1044
00:50:26,640 --> 00:50:29,239
Speaker 1: all the stuff coming at you. And that's how kids

1045
00:50:29,320 --> 00:50:32,000
Speaker 1: learn today. They learn on social media, they learn through

1046
00:50:32,040 --> 00:50:35,560
Speaker 1: digital interaction. If you do that in the classroom, kids

1047
00:50:35,600 --> 00:50:40,520
Speaker 1: now become smarter, more engaged, more learned. But what happens

1048
00:50:40,560 --> 00:50:47,120
Speaker 1: to the educational system the computer replaces the teacher. We

1049
00:50:47,160 --> 00:50:49,759
Speaker 1: can't have that in America, can we? Because of what's

1050
00:50:49,800 --> 00:50:53,200
Speaker 1: at stake? There's also the is she mentioned important too?

1051
00:50:53,280 --> 00:50:57,839
Speaker 1: The social interaction thing? But is this like the it's

1052
00:50:57,880 --> 00:51:02,520
Speaker 1: like clickbait right? This is what the educational system doesn't

1053
00:51:02,520 --> 00:51:05,520
Speaker 1: want you to know. This one weird old trick for

1054
00:51:05,640 --> 00:51:08,600
Speaker 1: saving us a lot of money and getting a better student.

1055
00:51:09,960 --> 00:51:17,520
Speaker 1: Thoughts after news here Scotsland continues on seven hundred WLW

1056
00:51:18,840 --> 00:51:21,480
Speaker 1: Good cute. Get the party start, let's go, let's go

1057
00:51:22,040 --> 00:51:25,200
Speaker 1: sloany here seven hundred WLW on this Tuesday morning, and

1058
00:51:25,239 --> 00:51:27,480
Speaker 1: a beautiful one at that with the sunshining right now,

1059
00:51:27,680 --> 00:51:31,000
Speaker 1: temperature's going up there. We've cost the forty degree threshold.

1060
00:51:31,040 --> 00:51:34,480
Speaker 1: Come home, baby, Let's get some melton, Go on? What

1061
00:51:34,520 --> 00:51:37,840
Speaker 1: do you say? What do you say? Just spent like

1062
00:51:37,880 --> 00:51:40,000
Speaker 1: a first half of the show. We talked about social

1063
00:51:40,080 --> 00:51:43,440
Speaker 1: media addiction, Christine Miles, school psychologists and cell phone bands

1064
00:51:43,480 --> 00:51:47,480
Speaker 1: and the like, and yeah, I'll tell you what you know.

1065
00:51:47,520 --> 00:51:48,440
Speaker 1: It's kind of sobering.

1066
00:51:49,000 --> 00:51:49,160
Speaker 2: Now.

1067
00:51:49,160 --> 00:51:51,360
Speaker 1: We could make great progress when it comes to educating

1068
00:51:51,480 --> 00:51:53,520
Speaker 1: kids if we just did it on their level. And

1069
00:51:53,560 --> 00:51:56,720
Speaker 1: in the digital age, they learn digitally now as opposed

1070
00:51:56,760 --> 00:51:59,319
Speaker 1: to face to face, and so if that's the if

1071
00:51:59,360 --> 00:52:01,640
Speaker 1: that's how you get kids and that's where they are,

1072
00:52:01,760 --> 00:52:03,719
Speaker 1: then you have to meet them on their level, and

1073
00:52:03,760 --> 00:52:07,680
Speaker 1: that would involve more AI, more digital algorithms to teach

1074
00:52:07,719 --> 00:52:09,799
Speaker 1: them what they don't know and kind of make it

1075
00:52:09,840 --> 00:52:11,919
Speaker 1: appealing to them in a way, because the old ways

1076
00:52:11,920 --> 00:52:14,319
Speaker 1: of teaching just don't simply how it makes the work.

1077
00:52:14,320 --> 00:52:15,920
Speaker 1: But let's face it, there's better ways to do it.

1078
00:52:15,960 --> 00:52:19,759
Speaker 1: But as a threat to that precious ecosystem and all

1079
00:52:19,880 --> 00:52:23,399
Speaker 1: that fat cache that goes to our school systems from

1080
00:52:23,400 --> 00:52:27,480
Speaker 1: our property taxes, And that's what's in danger here. You know,

1081
00:52:27,600 --> 00:52:29,960
Speaker 1: you want to be a disruptor, but how disruptive do

1082
00:52:30,000 --> 00:52:32,120
Speaker 1: you want to get? You know, the fear is a

1083
00:52:32,160 --> 00:52:35,120
Speaker 1: lot of jobs are being replaced by AI. As I speak.

1084
00:52:35,320 --> 00:52:38,400
Speaker 1: The City of Cincinnati is coming up with a policy

1085
00:52:38,480 --> 00:52:43,080
Speaker 1: that would regulate data centers in Hamlin County, specifically in Cincinnati. Obviously,

1086
00:52:43,280 --> 00:52:47,200
Speaker 1: also that's an issue for the commissioners too. Do we

1087
00:52:47,239 --> 00:52:50,440
Speaker 1: want data centers in Cincinnati? Look what's happening in Kentucky

1088
00:52:50,920 --> 00:52:54,960
Speaker 1: Butler County up near Columbus and around the area, And

1089
00:52:55,040 --> 00:52:58,759
Speaker 1: that's a concern. Big, huge, multi acre plants that suck

1090
00:52:58,840 --> 00:53:02,400
Speaker 1: up a lot of resources, natural resources, water and of

1091
00:53:02,440 --> 00:53:06,680
Speaker 1: course electricity and the grid can't handle anymore. Do we

1092
00:53:06,760 --> 00:53:10,280
Speaker 1: want that in the city of Cincinnati itself? They're debating

1093
00:53:10,320 --> 00:53:11,960
Speaker 1: it as we speak, what that policy would look like.

1094
00:53:12,000 --> 00:53:14,200
Speaker 1: And so we are all guilty in some way, shape

1095
00:53:14,239 --> 00:53:16,880
Speaker 1: or formed this whole thing. If your job and my

1096
00:53:17,040 --> 00:53:22,880
Speaker 1: job is endangering to be replaced by AI. Would teachers?

1097
00:53:22,920 --> 00:53:27,240
Speaker 1: Would education? Which educators be any less in danger? Should

1098
00:53:27,280 --> 00:53:31,239
Speaker 1: they be protected like I don't know, you know here

1099
00:53:31,280 --> 00:53:33,799
Speaker 1: at seven hundred w W and iHeart we have the

1100
00:53:34,160 --> 00:53:36,880
Speaker 1: guaranteed human. I'm sure you've heard the we're guaranteed human,

1101
00:53:37,840 --> 00:53:42,239
Speaker 1: yeah for now. When you hear they're like, okay, well

1102
00:53:42,360 --> 00:53:47,319
Speaker 1: we're guaranteed human today tomorrow they're it's gonna be hard

1103
00:53:47,320 --> 00:53:50,319
Speaker 1: to compete with AI. Let's face it, for spoken order,

1104
00:53:50,360 --> 00:53:54,600
Speaker 1: music or video. Hollywood's in danger being upended by AI.

1105
00:53:54,680 --> 00:53:56,960
Speaker 1: Everyone's job is in question right now. Nless, of course

1106
00:53:57,320 --> 00:54:00,920
Speaker 1: you're in the trades, and you know, as long as

1107
00:54:00,920 --> 00:54:03,320
Speaker 1: I can do plumbing and electrical and carpentry and stuff

1108
00:54:03,400 --> 00:54:07,040
Speaker 1: like that, I got a gig for now for now.

1109
00:54:08,160 --> 00:54:11,960
Speaker 1: So should we protect the status quo in schools? And

1110
00:54:12,000 --> 00:54:15,759
Speaker 1: I think, you know, we talk about homeschooling, which is

1111
00:54:15,920 --> 00:54:16,840
Speaker 1: I think somewhat.

1112
00:54:16,600 --> 00:54:17,000
Speaker 2: Of a threat.

1113
00:54:17,000 --> 00:54:19,200
Speaker 1: I think the education, but of course privateized schools, private

1114
00:54:19,239 --> 00:54:21,840
Speaker 1: schools is a threat. I think the next big threat's

1115
00:54:21,840 --> 00:54:24,120
Speaker 1: gonna be AI, because we're going to teach kids on

1116
00:54:24,160 --> 00:54:27,120
Speaker 1: their level, and I think you're gonna have smarter kids. Granted,

1117
00:54:27,600 --> 00:54:29,799
Speaker 1: there's going to be a lot to be desired when

1118
00:54:29,800 --> 00:54:32,600
Speaker 1: it comes to interpersonal communication and talking with a living,

1119
00:54:32,640 --> 00:54:35,280
Speaker 1: breathing human being. You're still going to need that skill,

1120
00:54:35,320 --> 00:54:37,799
Speaker 1: and I think that's going to be maybe the big

1121
00:54:37,880 --> 00:54:38,719
Speaker 1: challenges whole thing.

1122
00:54:38,800 --> 00:54:39,800
Speaker 2: But man, I don't know.

1123
00:54:39,840 --> 00:54:41,960
Speaker 1: I'm looking over my shoulder going, why don't we just

1124
00:54:42,080 --> 00:54:45,319
Speaker 1: have a platform like you would with social media, be

1125
00:54:45,360 --> 00:54:49,359
Speaker 1: a TikTok or Instagram and using the same type of

1126
00:54:49,840 --> 00:54:53,239
Speaker 1: algorithms teach kids on their level. And he said, hey,

1127
00:54:53,840 --> 00:54:55,200
Speaker 1: and look at that. You don't even have to go

1128
00:54:55,239 --> 00:54:57,080
Speaker 1: into class, right, you could be at home doing this stuff.

1129
00:54:57,840 --> 00:55:00,920
Speaker 2: Frightening. We want change, but that much change.

1130
00:55:00,960 --> 00:55:03,840
Speaker 1: Anyway, We've got that going on today, on this on

1131
00:55:03,880 --> 00:55:07,719
Speaker 1: this beautiful Tuesday morning, Big Dave points out to me,

1132
00:55:08,040 --> 00:55:11,160
Speaker 1: my producer, that Ohio is ranked twenty first in the

1133
00:55:11,239 --> 00:55:17,480
Speaker 1: nation for alien abductions. You know, whether it's like business

1134
00:55:17,760 --> 00:55:22,319
Speaker 1: or education, cost of living, we always middle of the pack.

1135
00:55:23,160 --> 00:55:25,640
Speaker 1: We are mid ass Ohio, that's what we are, always

1136
00:55:25,680 --> 00:55:27,840
Speaker 1: right right near twenty five, well right in the mid

1137
00:55:28,480 --> 00:55:31,520
Speaker 1: sometimes as high as twenty, sometimes as low as forty.

1138
00:55:31,520 --> 00:55:36,160
Speaker 1: But generally speaking with some outliers, we're right. How are you?

1139
00:55:36,360 --> 00:55:40,280
Speaker 1: We're very mid mid Ohio was legit, we're mid twenty

1140
00:55:40,280 --> 00:55:44,279
Speaker 1: first of the nation for alien abductions. What you have

1141
00:55:44,400 --> 00:55:47,799
Speaker 1: a ready for the percentages. Now, according to this is

1142
00:55:47,800 --> 00:55:51,360
Speaker 1: a British website, so I'm sorry, British gaming site, So

1143
00:55:51,400 --> 00:55:53,680
Speaker 1: I don't know what the credibility is here, but if

1144
00:55:53,719 --> 00:55:56,560
Speaker 1: believe in the markets, Ohios have a one point one

1145
00:55:56,719 --> 00:56:00,719
Speaker 1: three percent chance of being abducted by aliens. So you're

1146
00:56:00,760 --> 00:56:06,120
Speaker 1: saying there's a chance we have and this has surprising me.

1147
00:56:06,200 --> 00:56:10,120
Speaker 1: Over four thousand abductions since twenty nineteen. Reports of abduction

1148
00:56:10,239 --> 00:56:13,680
Speaker 1: since twenty nineteen. Don't know how many of those reports

1149
00:56:13,719 --> 00:56:16,920
Speaker 1: dealt with hallucinogens or alcohol, drugs, whatever it might be,

1150
00:56:17,000 --> 00:56:20,400
Speaker 1: but four thousand and if you're wondering if you want

1151
00:56:20,440 --> 00:56:24,240
Speaker 1: to increase your chances of being abducted by an alien,

1152
00:56:24,480 --> 00:56:29,640
Speaker 1: if you're looking for something to do, Maine in Idaho

1153
00:56:29,800 --> 00:56:33,080
Speaker 1: are your top two states for abductions, which is surprising

1154
00:56:33,080 --> 00:56:36,719
Speaker 1: because you think it would be Nevada, you know, Area

1155
00:56:36,760 --> 00:56:39,400
Speaker 1: fifty one and all this stuff, maybe Arizona, but nope,

1156
00:56:39,800 --> 00:56:44,880
Speaker 1: it's Maine in Idaho and Maine and Ahiho. There's nothing

1157
00:56:45,120 --> 00:56:48,040
Speaker 1: better to do than to get abducted by aliens. Maybe

1158
00:56:48,040 --> 00:56:50,680
Speaker 1: you're so busy in Ohio, Kentucky, Anyon elsewhere, we just

1159
00:56:50,719 --> 00:56:52,400
Speaker 1: you know, abducted we don't pay attention to it, but

1160
00:56:52,680 --> 00:56:54,640
Speaker 1: there's still a little going on in Idaho and Maine

1161
00:56:54,680 --> 00:56:57,520
Speaker 1: that I mean, some people probably look forward to. It's

1162
00:56:57,520 --> 00:56:59,400
Speaker 1: like hitting the lottery. It's like getting a number in Kino.

1163
00:57:00,200 --> 00:57:02,400
Speaker 1: And by the way, the percentage is only two percent,

1164
00:57:02,520 --> 00:57:05,359
Speaker 1: so you know, we are kind of splitting hairs here.

1165
00:57:05,800 --> 00:57:08,680
Speaker 1: So good to no, there you go middle of the pack.

1166
00:57:08,760 --> 00:57:13,440
Speaker 1: Even aliens are like, Ohio, that's all right, Midway, Yeah, yeah, okay,

1167
00:57:13,480 --> 00:57:16,240
Speaker 1: we're fine. We need a body book there. But largely

1168
00:57:16,320 --> 00:57:20,560
Speaker 1: Maine in Idaho look looking for trouble out there. This

1169
00:57:20,720 --> 00:57:23,600
Speaker 1: is the United States of drama. I was looking forward

1170
00:57:23,640 --> 00:57:25,600
Speaker 1: to talking about that. I didn't think, honestly, if you

1171
00:57:25,640 --> 00:57:27,040
Speaker 1: asked me, hey, what are you gonna be talking about

1172
00:57:27,080 --> 00:57:29,160
Speaker 1: on Tuesday, I didn't think we would still be talking

1173
00:57:29,160 --> 00:57:32,520
Speaker 1: about this about America, the Snowflake. It is incredible to

1174
00:57:32,640 --> 00:57:37,360
Speaker 1: watch how we could be this upset over a ten

1175
00:57:37,480 --> 00:57:43,000
Speaker 1: minute free concert. Literally tens of millions of people fighting

1176
00:57:43,080 --> 00:57:47,640
Speaker 1: over a halftime show, and the biggest winners NBC and

1177
00:57:47,720 --> 00:57:51,000
Speaker 1: the NFL, because you know, the super Bowl itself kind

1178
00:57:51,040 --> 00:57:54,080
Speaker 1: of boring. I mean, there was some action, but it

1179
00:57:54,120 --> 00:57:57,280
Speaker 1: was a defensive battle. No touchdowns, to the second half.

1180
00:57:58,320 --> 00:58:00,640
Speaker 1: The ads were a couple ads. I like the Dunkin

1181
00:58:00,720 --> 00:58:02,880
Speaker 1: Donuts one because it's nostalgic and I'm old and that's

1182
00:58:02,880 --> 00:58:05,920
Speaker 1: what we like. Anytime you can get George Costanza and

1183
00:58:05,920 --> 00:58:06,960
Speaker 1: Ted Danson in there.

1184
00:58:07,040 --> 00:58:07,520
Speaker 2: Good.

1185
00:58:09,120 --> 00:58:12,880
Speaker 1: I thought the William Shatner won will shat Fantastic made

1186
00:58:12,920 --> 00:58:15,000
Speaker 1: me laugh out loud, a little snort going on there.

1187
00:58:15,080 --> 00:58:19,600
Speaker 1: Like Sarah Le's the heart is certainly Budweiser. They always

1188
00:58:19,640 --> 00:58:21,080
Speaker 1: hit out of the part with a bird that became

1189
00:58:21,120 --> 00:58:23,120
Speaker 1: an eagle, and a couple other ones as well, but

1190
00:58:23,120 --> 00:58:25,680
Speaker 1: buying Large's like, yeah, it's kind of kind of the

1191
00:58:26,280 --> 00:58:31,920
Speaker 1: Ohio super Bowl NBC NFL they win because I think

1192
00:58:32,080 --> 00:58:35,320
Speaker 1: of all the controversies surrounding the halftime show. So here

1193
00:58:35,360 --> 00:58:38,240
Speaker 1: we are in day two and one of the stories

1194
00:58:38,280 --> 00:58:41,920
Speaker 1: still trending is bad Bunny. We got about twenty percent

1195
00:58:41,920 --> 00:58:44,840
Speaker 1: of the country outraged about an all Spanish show by

1196
00:58:44,840 --> 00:58:47,440
Speaker 1: a Puerto Rican man against ice raids, and then another

1197
00:58:47,480 --> 00:58:51,280
Speaker 1: twenty percent thinks this show was somehow transformative and historic

1198
00:58:51,400 --> 00:58:55,400
Speaker 1: and progressive awakening, and it's bringing tears in my eyes

1199
00:58:55,440 --> 00:58:57,760
Speaker 1: and just thinking how far he's come, And like, I

1200
00:58:57,760 --> 00:59:03,040
Speaker 1: think both sides. I think it's a gross exaggeration. And

1201
00:59:03,280 --> 00:59:05,240
Speaker 1: this is back to phones and social media. But we

1202
00:59:05,280 --> 00:59:06,520
Speaker 1: all have to have a hot take, and we got

1203
00:59:06,560 --> 00:59:08,360
Speaker 1: to be pissed off about everything at all times, and

1204
00:59:08,400 --> 00:59:11,800
Speaker 1: everything is a microaggression, and we take our accues from leadership.

1205
00:59:11,840 --> 00:59:15,280
Speaker 1: Trump is great at being aggravated by seemingly the pettiest things,

1206
00:59:15,680 --> 00:59:18,440
Speaker 1: and we have to look for validation of our beliefs

1207
00:59:18,440 --> 00:59:21,800
Speaker 1: and everything. So you're supposed to act now today that

1208
00:59:21,880 --> 00:59:27,600
Speaker 1: everything is upsetting and polarizing, and it just it's perfectly

1209
00:59:27,640 --> 00:59:29,920
Speaker 1: normal to go, eh, not for me.

1210
00:59:31,560 --> 00:59:32,160
Speaker 4: It's not for me.

1211
00:59:33,200 --> 00:59:37,120
Speaker 1: It's not a validation, nor is it an indictment. It's

1212
00:59:37,200 --> 00:59:40,720
Speaker 1: just targeting a different audience. You can say what you

1213
00:59:40,720 --> 00:59:43,120
Speaker 1: want to be. The NFL and the spectacular crack to

1214
00:59:43,160 --> 00:59:45,120
Speaker 1: the NFL is going to regret this whole thing as

1215
00:59:45,200 --> 00:59:48,040
Speaker 1: we all have sleepless executives and finger pointing and speed

1216
00:59:48,080 --> 00:59:50,160
Speaker 1: like the it's like when they you know, when they

1217
00:59:50,160 --> 00:59:52,360
Speaker 1: went woke with bud light. No, it's not like anything

1218
00:59:52,400 --> 00:59:55,640
Speaker 1: at all. Simply in this case is because the NFL

1219
00:59:55,720 --> 00:59:58,280
Speaker 1: is almost too big to lose at this point. And

1220
00:59:58,320 --> 01:00:00,360
Speaker 1: if you look at the numbers from the halftimes, they

1221
01:00:00,480 --> 01:00:03,800
Speaker 1: got what they wanted free publicity, well maybe not free,

1222
01:00:03,800 --> 01:00:06,919
Speaker 1: but publicity and eyeballs to the tune of a hunder

1223
01:00:07,000 --> 01:00:12,080
Speaker 1: thirty five million people. And so yeah, mission accomplished. And

1224
01:00:12,080 --> 01:00:15,080
Speaker 1: if they're looking to expand the market to Latin America

1225
01:00:15,200 --> 01:00:17,920
Speaker 1: as they did Europe, then this is how you do that.

1226
01:00:18,160 --> 01:00:20,560
Speaker 1: It's a math game to them and nothing else. It's

1227
01:00:20,600 --> 01:00:23,240
Speaker 1: not about patriotism and taking signs. They love that stuff

1228
01:00:23,280 --> 01:00:25,720
Speaker 1: because it means more people are going to watch over

1229
01:00:25,760 --> 01:00:28,280
Speaker 1: the controversy or the support, as the case may be

1230
01:00:28,840 --> 01:00:31,040
Speaker 1: for those on the left. But you know, and here's

1231
01:00:31,040 --> 01:00:34,720
Speaker 1: the thing, I try to be consistent. So I'm trying

1232
01:00:34,720 --> 01:00:37,000
Speaker 1: to figure out the inconsistencies here and it's pretty easy.

1233
01:00:37,040 --> 01:00:39,440
Speaker 1: So initially the backlash of bad Bunny was and I

1234
01:00:39,480 --> 01:00:41,960
Speaker 1: get it. You know, he's anti Ice, and you know,

1235
01:00:42,040 --> 01:00:44,880
Speaker 1: to those people that think that I should be completely

1236
01:00:44,880 --> 01:00:47,320
Speaker 1: shut down, it's like, well, yeah, that's great until the

1237
01:00:47,320 --> 01:00:50,240
Speaker 1: person that they take into costody as someone who's accused of,

1238
01:00:50,640 --> 01:00:53,880
Speaker 1: I don't know, abducting Savannah Guthrie, not saying that that's

1239
01:00:54,040 --> 01:00:54,640
Speaker 1: someone who.

1240
01:00:54,440 --> 01:00:55,040
Speaker 2: Shouldn't be here.

1241
01:00:55,080 --> 01:00:56,640
Speaker 1: We don't know, but you know what I'm saying, it's like,

1242
01:00:57,240 --> 01:00:59,800
Speaker 1: you're just assuming that those people are innocent and they're not.

1243
01:01:00,160 --> 01:01:03,360
Speaker 1: They may be here legally, which in itself technically is

1244
01:01:03,360 --> 01:01:05,080
Speaker 1: a crime, but not to the level of what we're

1245
01:01:05,120 --> 01:01:07,040
Speaker 1: witnessing in streets. But if you're trying to get people

1246
01:01:07,040 --> 01:01:10,240
Speaker 1: out there who are here illegally and also committing serious crimes,

1247
01:01:10,760 --> 01:01:13,160
Speaker 1: you want that you're standing up and fighting for a criminal.

1248
01:01:13,840 --> 01:01:15,280
Speaker 1: That doesn't make a lot of sense. In my book,

1249
01:01:15,280 --> 01:01:17,160
Speaker 1: it'd be nice to know which one you know. Is

1250
01:01:17,200 --> 01:01:19,040
Speaker 1: this a guy we're just picking up because he's out

1251
01:01:19,040 --> 01:01:22,600
Speaker 1: there and is here illegally, or is he here illegally and

1252
01:01:22,640 --> 01:01:25,800
Speaker 1: also committing some serious felonies, because that to me and

1253
01:01:25,840 --> 01:01:31,360
Speaker 1: that there's a distinction there. But the consistency here is

1254
01:01:31,480 --> 01:01:36,440
Speaker 1: I think what makes me laugh. We're angered that No,

1255
01:01:36,520 --> 01:01:39,360
Speaker 1: I'm not angered. I got it. It was in Spanish. I

1256
01:01:39,480 --> 01:01:41,240
Speaker 1: used to know a little more Spanish than you today.

1257
01:01:41,280 --> 01:01:43,320
Speaker 1: I don't use it that often. I'm really good when

1258
01:01:43,320 --> 01:01:45,000
Speaker 1: I'm drunk by it. Give me some tequila and I'm

1259
01:01:45,000 --> 01:01:47,280
Speaker 1: spitting Spanish like I'm Pablo Escobar.

1260
01:01:47,320 --> 01:01:48,800
Speaker 2: It's unbelievable.

1261
01:01:51,040 --> 01:01:54,520
Speaker 1: That the lyrics are in Spanish, and therefore some I like,

1262
01:01:54,640 --> 01:01:57,800
Speaker 1: I don't know about you, but I'm not just this

1263
01:01:57,880 --> 01:01:59,920
Speaker 1: is one of my not super powers. For share can

1264
01:02:00,200 --> 01:02:02,840
Speaker 1: understand lyrics of a lot of songs, especially newer songs,

1265
01:02:02,960 --> 01:02:06,400
Speaker 1: and that and that's an English because there's a lot

1266
01:02:06,400 --> 01:02:08,000
Speaker 1: of slang. And as you get older, it's like, I'm

1267
01:02:08,000 --> 01:02:10,280
Speaker 1: not sure what the vernacular is and what this is

1268
01:02:10,320 --> 01:02:12,720
Speaker 1: supposed to mean. And I don't you know thet the

1269
01:02:12,800 --> 01:02:15,160
Speaker 1: battles between Kendrick and Drake. I'm like, I'm not quite

1270
01:02:15,160 --> 01:02:18,040
Speaker 1: sure this whole thing. And you know, we've been also

1271
01:02:18,120 --> 01:02:20,720
Speaker 1: been whether it's an English or not, we've been getting wrong.

1272
01:02:20,760 --> 01:02:23,720
Speaker 1: We've been screwing up lyrics or generations. I think about it,

1273
01:02:23,720 --> 01:02:26,080
Speaker 1: how many songs we sang out loud in our car

1274
01:02:27,120 --> 01:02:28,840
Speaker 1: or in the shower or whatever, Like you hear what

1275
01:02:28,880 --> 01:02:31,320
Speaker 1: the lyrics are, They're like, wait, that's what he's saying.

1276
01:02:32,960 --> 01:02:35,240
Speaker 1: You mean it's revved up like a deuce, not revved

1277
01:02:35,280 --> 01:02:39,600
Speaker 1: up like a douche. When my wife is young, and

1278
01:02:39,600 --> 01:02:43,560
Speaker 1: that song was fairly popular verse Springsteen, Manford, man et cetera.

1279
01:02:43,720 --> 01:02:46,160
Speaker 1: Back in the day. That song time, and she sung

1280
01:02:46,160 --> 01:02:49,200
Speaker 1: along with it. Her mom forbid her from listening to

1281
01:02:49,320 --> 01:02:52,600
Speaker 1: that song because mom was convinced it was rebbed up

1282
01:02:52,600 --> 01:02:54,480
Speaker 1: like a douche, which makes no sense. It's a deuce,

1283
01:02:54,560 --> 01:02:57,520
Speaker 1: it's about a car. It's nonetheless, that's where things do.

1284
01:02:57,680 --> 01:02:59,440
Speaker 1: We always screw up lyrics, so I don't know way

1285
01:02:59,440 --> 01:03:02,080
Speaker 1: to speak, and I don't also point out too, like

1286
01:03:02,160 --> 01:03:04,200
Speaker 1: one of the most successful genres of music right now

1287
01:03:04,200 --> 01:03:08,160
Speaker 1: in America is K pop. Korean pop very popular Spanish.

1288
01:03:08,160 --> 01:03:10,480
Speaker 1: If you look at, for example, in my business and radio,

1289
01:03:10,840 --> 01:03:15,000
Speaker 1: one of the top formats across the country is Spanish.

1290
01:03:15,880 --> 01:03:17,880
Speaker 1: I'm really not outraged about that. It's you know, you're

1291
01:03:17,880 --> 01:03:20,480
Speaker 1: trying to sell materials and good services and a like

1292
01:03:20,560 --> 01:03:25,040
Speaker 1: too to those folks. Yeah, because guess what. Edy doesn't

1293
01:03:25,080 --> 01:03:27,320
Speaker 1: just affect old white people like me and you listening

1294
01:03:27,320 --> 01:03:29,520
Speaker 1: to this radio station. I'm sure there's plenty of Spanish

1295
01:03:29,520 --> 01:03:33,920
Speaker 1: speakers out there who need those ed supplements. Nonetheless, I

1296
01:03:33,920 --> 01:03:36,320
Speaker 1: will also say the outrage machine then turned to the

1297
01:03:36,360 --> 01:03:39,480
Speaker 1: offensive lyrics somehow and pearl clutching over impressionable kids who

1298
01:03:39,480 --> 01:03:40,280
Speaker 1: don't speak Spanish.

1299
01:03:40,360 --> 01:03:41,720
Speaker 2: So no one understands this.

1300
01:03:41,840 --> 01:03:43,360
Speaker 1: But then at the same time, once you get the

1301
01:03:43,440 --> 01:03:47,960
Speaker 1: lyrics decoded, once you get the lyrics decoded, then we

1302
01:03:48,000 --> 01:03:50,400
Speaker 1: have to be offended. Well, if you don't speak Spanish,

1303
01:03:50,480 --> 01:03:52,040
Speaker 1: you don't have to really worry about that, do you,

1304
01:03:53,640 --> 01:03:57,440
Speaker 1: And now you look predictable. Ah, my side says, okay,

1305
01:03:57,920 --> 01:03:59,520
Speaker 1: we'll play that game for a second. I think this

1306
01:03:59,640 --> 01:04:04,080
Speaker 1: is just the offensive lyrics over bad Bunny. All right,

1307
01:04:04,280 --> 01:04:07,920
Speaker 1: there's some offensive lyrics and they're sure. Meanwhile, the alternative,

1308
01:04:07,920 --> 01:04:11,440
Speaker 1: the wholesome American alternative. This was kid Rock. Now I

1309
01:04:11,440 --> 01:04:13,600
Speaker 1: always heard to see kid before he really blew up,

1310
01:04:13,600 --> 01:04:15,280
Speaker 1: and I thought he was, man, this guy's gonna go play.

1311
01:04:15,360 --> 01:04:17,600
Speaker 1: He's awesome. And I've seen him I don't know four

1312
01:04:17,640 --> 01:04:21,600
Speaker 1: or five six times, and you're going, oh, it's it's

1313
01:04:21,600 --> 01:04:23,720
Speaker 1: really the lyrics are you know, kids are impressiable and

1314
01:04:23,760 --> 01:04:25,880
Speaker 1: they're young, and they're seeing and they're seeing these women

1315
01:04:25,920 --> 01:04:28,439
Speaker 1: shake their asses like, hey, guess what you can see

1316
01:04:28,440 --> 01:04:32,160
Speaker 1: far worse in a store on your phone or in

1317
01:04:32,200 --> 01:04:37,120
Speaker 1: person then you know some Latina, big bone latina women

1318
01:04:37,200 --> 01:04:39,760
Speaker 1: shaking i ass on TV is like it really wasn't that.

1319
01:04:42,080 --> 01:04:44,360
Speaker 1: But the funny part about the whole alternative thing on

1320
01:04:44,400 --> 01:04:47,760
Speaker 1: attorning point was kid Rock is performing who boy like

1321
01:04:47,880 --> 01:04:50,800
Speaker 1: Kid Rock has a giant middle finger on the tall

1322
01:04:50,840 --> 01:04:54,960
Speaker 1: of its private jet and when kid Rock broke and

1323
01:04:55,040 --> 01:04:58,040
Speaker 1: this would have been late nineties. I remember the outrage

1324
01:04:58,080 --> 01:05:00,360
Speaker 1: from the same conservatives about the you know, the great

1325
01:05:00,480 --> 01:05:03,040
Speaker 1: society's falling apart because of hip hop music and the like.

1326
01:05:03,080 --> 01:05:05,320
Speaker 1: And here's this guy out there, and he's in and

1327
01:05:07,360 --> 01:05:11,760
Speaker 1: he opens, He opens with a song and and bob

1328
01:05:11,800 --> 01:05:14,040
Speaker 1: with the ba is. I want to read the lyrics

1329
01:05:14,040 --> 01:05:16,880
Speaker 1: for you that he sang. And the same people are

1330
01:05:16,920 --> 01:05:19,720
Speaker 1: offended by bad Bunny. We're not offended by the midnight

1331
01:05:19,760 --> 01:05:23,360
Speaker 1: glances and the topless dancers, the gender freaks, the g's

1332
01:05:23,400 --> 01:05:25,040
Speaker 1: and the forties and the chicks with beepers, and there

1333
01:05:25,040 --> 01:05:27,240
Speaker 1: are the lights of Southern comfort. It don't it don't

1334
01:05:27,280 --> 01:05:30,200
Speaker 1: even matter that their veins are punctured. And he talks

1335
01:05:30,240 --> 01:05:34,760
Speaker 1: about topless dancers and say it, talks about his heroes

1336
01:05:34,760 --> 01:05:37,120
Speaker 1: and the methadone clinic and the crackheads and the critics

1337
01:05:37,120 --> 01:05:39,880
Speaker 1: and the cynics and the crooked cops and the cluttered desks,

1338
01:05:40,360 --> 01:05:42,040
Speaker 1: all you bastards at the I R s and the

1339
01:05:42,040 --> 01:05:44,240
Speaker 1: half pints of love and the fifthest dress for the hooker.

1340
01:05:44,440 --> 01:05:46,960
Speaker 1: I'm not going to sing the song, but you know

1341
01:05:47,040 --> 01:05:50,040
Speaker 1: he's celebrating his homies in the county at cell Block six,

1342
01:05:53,320 --> 01:05:54,680
Speaker 1: and so I don't know. I will look at that,

1343
01:05:54,760 --> 01:05:56,200
Speaker 1: go okay, if a kid here's that and has to

1344
01:05:56,200 --> 01:05:59,720
Speaker 1: ask you, you know what meth is or what a

1345
01:05:59,840 --> 01:06:02,120
Speaker 1: chick with beepers to show you how old a song is,

1346
01:06:02,400 --> 01:06:04,960
Speaker 1: Like I don't know. It's like I can't equate, Like

1347
01:06:05,240 --> 01:06:07,520
Speaker 1: why bad Bunnies more offensive than that? I don't think

1348
01:06:07,520 --> 01:06:09,880
Speaker 1: either one is offensive. It just it's music. It's always

1349
01:06:09,880 --> 01:06:14,880
Speaker 1: been that way, and it's the snowflaking of America and

1350
01:06:14,920 --> 01:06:17,840
Speaker 1: this time conservative of snowflakes that are worked up about this. Meanwhile,

1351
01:06:17,880 --> 01:06:20,360
Speaker 1: it wasn't a long ago for progressives that are having

1352
01:06:20,400 --> 01:06:23,080
Speaker 1: that smug look on their face. I'd say, weren't y'all upset?

1353
01:06:23,120 --> 01:06:25,160
Speaker 1: Like a couple of years ago when when Baby It's

1354
01:06:25,200 --> 01:06:29,280
Speaker 1: Cold Outside was outrageous, you know, the old classic standard,

1355
01:06:29,360 --> 01:06:32,400
Speaker 1: baby It's cold Outside, where the guys try to talk

1356
01:06:32,440 --> 01:06:34,640
Speaker 1: her into staying because it's cold outside, and basically he

1357
01:06:34,680 --> 01:06:39,440
Speaker 1: went wants sex and she's like, oh, I don't know.

1358
01:06:39,560 --> 01:06:41,520
Speaker 1: It's like what did you put in this drink? And

1359
01:06:41,560 --> 01:06:43,840
Speaker 1: now it's the me too movement came involved and it

1360
01:06:43,880 --> 01:06:45,520
Speaker 1: was like we are all rolling our eyes, going are

1361
01:06:45,560 --> 01:06:46,120
Speaker 1: you kidding me?

1362
01:06:46,200 --> 01:06:46,680
Speaker 2: Right now?

1363
01:06:47,520 --> 01:06:50,360
Speaker 1: Because at the same time, that everyone and any way

1364
01:06:50,360 --> 01:06:52,720
Speaker 1: on the left was upset about baby It's Cold Outside,

1365
01:06:53,240 --> 01:06:56,160
Speaker 1: which is stupid the number one and the number one

1366
01:06:56,160 --> 01:06:58,000
Speaker 1: song in the United States when that song was always

1367
01:06:58,040 --> 01:07:08,960
Speaker 1: it was Cardi B's wap what letter a P word?

1368
01:07:09,760 --> 01:07:10,600
Speaker 2: Female body?

1369
01:07:10,600 --> 01:07:14,120
Speaker 1: Well go look at that, Like, why are we upset

1370
01:07:14,120 --> 01:07:15,880
Speaker 1: about the number one song in the country is far

1371
01:07:15,880 --> 01:07:19,720
Speaker 1: more offensive than baby It's Cold Out? Saying that's different. Okay, Now,

1372
01:07:19,760 --> 01:07:22,280
Speaker 1: the selective outrage, it's just exhausting, right, Like now we're

1373
01:07:22,320 --> 01:07:24,800
Speaker 1: down to the super Bowl where the super Bowl halftime

1374
01:07:24,840 --> 01:07:29,880
Speaker 1: show is what everybody's pissed off about. It's it's part

1375
01:07:29,920 --> 01:07:32,320
Speaker 1: of the outrage culture and certainly has to do with

1376
01:07:32,360 --> 01:07:35,040
Speaker 1: what we've been talking about in the morning. That social media.

1377
01:07:36,520 --> 01:07:36,920
Speaker 2: I don't know.

1378
01:07:37,680 --> 01:07:39,360
Speaker 1: I've got to go, hey, you know what it used

1379
01:07:39,360 --> 01:07:42,120
Speaker 1: to be like that's not for me. Look when people

1380
01:07:42,160 --> 01:07:44,520
Speaker 1: would complain about my show, I hate your far How

1381
01:07:44,520 --> 01:07:47,479
Speaker 1: are you Why are you still? Like, well enough people listen.

1382
01:07:47,480 --> 01:07:49,320
Speaker 1: If enough people don't listen, I get fired. That's how

1383
01:07:49,320 --> 01:07:53,400
Speaker 1: our same w any show that's streaming, I hate that show?

1384
01:07:53,440 --> 01:07:55,720
Speaker 1: Why is that show a thing? Why are you exist?

1385
01:07:56,120 --> 01:07:58,560
Speaker 1: Why are you telling people what they should and shouldn't like,

1386
01:07:58,600 --> 01:08:01,920
Speaker 1: why are you so insecure that you're looking at that

1387
01:08:02,040 --> 01:08:05,320
Speaker 1: going well, somebody must like it. Fine, great, good for you.

1388
01:08:05,560 --> 01:08:06,320
Speaker 1: It's not my thing.

1389
01:08:06,440 --> 01:08:06,880
Speaker 2: I'm good.

1390
01:08:07,560 --> 01:08:10,840
Speaker 1: But instead of just being passive about being so aggressive

1391
01:08:10,880 --> 01:08:13,000
Speaker 1: and going, it needs to be canceled because I don't

1392
01:08:13,000 --> 01:08:16,320
Speaker 1: agree with it. I just I don't understand that it's

1393
01:08:16,360 --> 01:08:17,720
Speaker 1: all about the money. At the end of the day,

1394
01:08:17,800 --> 01:08:20,599
Speaker 1: if you understand it's about green and nothing else, that's

1395
01:08:20,640 --> 01:08:22,479
Speaker 1: what it is. Anyway, I got a news update in here.

1396
01:08:22,560 --> 01:08:25,400
Speaker 1: Enough of this more to follow. It's we'll talk to

1397
01:08:25,439 --> 01:08:27,800
Speaker 1: Andy Shaffer eleven thirty five. Keep it money related for

1398
01:08:27,840 --> 01:08:29,400
Speaker 1: the next hour. Has that because it's a good day

1399
01:08:29,560 --> 01:08:31,519
Speaker 1: to think about money. Because if you got a little

1400
01:08:31,520 --> 01:08:33,080
Speaker 1: bit on the market, it's just a little bit. You're

1401
01:08:33,080 --> 01:08:38,600
Speaker 1: making more. It's a good day. Seven hundred W you

1402
01:08:38,680 --> 01:08:41,479
Speaker 1: got futted back on seven hundred WLW welcome to it.

1403
01:08:43,240 --> 01:08:45,559
Speaker 1: We'll jump right in with stuff because there's stuff, you know,

1404
01:08:45,600 --> 01:08:50,120
Speaker 1: we got stuff. Trumpet administration has decided to ease the

1405
01:08:50,200 --> 01:08:53,000
Speaker 1: fuel economy standards know it as a cafe standards for vehicles,

1406
01:08:53,000 --> 01:08:56,160
Speaker 1: so roll back. Under Biden, they required a two percent

1407
01:08:56,240 --> 01:09:00,280
Speaker 1: annual efficiency and improvement, so two percent annually. They have

1408
01:09:00,320 --> 01:09:03,880
Speaker 1: to make better better fiel accountanies, I guess the new

1409
01:09:03,920 --> 01:09:06,320
Speaker 1: proposal cuts us back to a half a percent, and

1410
01:09:06,400 --> 01:09:09,240
Speaker 1: they're also rolling back the taelpipe emission standards. So the

1411
01:09:09,320 --> 01:09:11,920
Speaker 1: question is what does this mean overall for the car

1412
01:09:12,040 --> 01:09:16,080
Speaker 1: industry Because cars we've hit American consumers said we're not

1413
01:09:16,160 --> 01:09:18,639
Speaker 1: paying more for cars. We have had a breaking point

1414
01:09:18,760 --> 01:09:20,080
Speaker 1: in the costing new automobiles.

1415
01:09:20,120 --> 01:09:20,880
Speaker 2: What does that do for us?

1416
01:09:20,920 --> 01:09:25,599
Speaker 1: Brian Moody is the executive Adam Kelly Bluebook and Auto Trader.

1417
01:09:25,600 --> 01:09:26,519
Speaker 2: Welcome Brian hy Ben.

1418
01:09:27,400 --> 01:09:30,800
Speaker 4: Yeah, thanks. You're right, that does change things a little bit,

1419
01:09:30,840 --> 01:09:33,360
Speaker 4: but I think it could be for the good, even

1420
01:09:33,439 --> 01:09:35,840
Speaker 4: though temporarily the headlines are going to be bad.

1421
01:09:36,680 --> 01:09:38,760
Speaker 1: Yeah, I think in the long term it seems good.

1422
01:09:39,439 --> 01:09:42,280
Speaker 1: You know, we have this quest to try and lower

1423
01:09:42,280 --> 01:09:45,880
Speaker 1: efficiency start, you know, increase efficiency and how many more

1424
01:09:45,920 --> 01:09:49,000
Speaker 1: miles you would drive per gallon tank, and we know

1425
01:09:49,040 --> 01:09:51,599
Speaker 1: there's environmental impact there, and that's all well and good,

1426
01:09:51,600 --> 01:09:54,679
Speaker 1: but it feels like the screws have really been put

1427
01:09:54,760 --> 01:09:57,200
Speaker 1: to the auto industry itself and saying, okay, there's a

1428
01:09:57,240 --> 01:10:00,360
Speaker 1: reasonable bound here, but we'ren't in the point of absurdity.

1429
01:10:01,280 --> 01:10:03,880
Speaker 4: Right I agree. It turns out the government is a

1430
01:10:03,960 --> 01:10:09,000
Speaker 4: terrible automaker, and not just ours, but across the world.

1431
01:10:09,320 --> 01:10:12,080
Speaker 4: If you look in Europe, for example, it was government

1432
01:10:12,080 --> 01:10:15,640
Speaker 4: that incentivized diesel to the point where that became the

1433
01:10:15,680 --> 01:10:18,439
Speaker 4: dominant fuel type across Europle. It turns out that's not

1434
01:10:18,479 --> 01:10:21,559
Speaker 4: good for you. So when government is in the position

1435
01:10:21,640 --> 01:10:24,519
Speaker 4: of building consumer products, that's not great. And when it

1436
01:10:24,560 --> 01:10:28,400
Speaker 4: comes to regulation, I don't think people understand that. They

1437
01:10:28,479 --> 01:10:32,000
Speaker 4: understand that good Bettershoel economy is good on one sense,

1438
01:10:32,040 --> 01:10:34,880
Speaker 4: so I think we all understand that. But what people

1439
01:10:34,960 --> 01:10:40,680
Speaker 4: don't understand is that regulation which leads to needs compliance,

1440
01:10:40,880 --> 01:10:45,280
Speaker 4: which costs money, which adds complexity, which adds weight, takes

1441
01:10:45,320 --> 01:10:49,880
Speaker 4: away certain things from consumers such as reliability, low cost,

1442
01:10:50,640 --> 01:10:55,160
Speaker 4: and you know, the lightweight of the car, which could

1443
01:10:55,200 --> 01:10:58,680
Speaker 4: be a safety feature. I guess, for lack of.

1444
01:10:58,680 --> 01:11:01,800
Speaker 1: A better word, yeah, understand those masks. But the fact

1445
01:11:01,840 --> 01:11:04,720
Speaker 1: of the matter is we, as American consumers, have an

1446
01:11:04,760 --> 01:11:09,000
Speaker 1: insatiable demand for trucks and SUVs that's at odds with

1447
01:11:09,080 --> 01:11:12,760
Speaker 1: these outdated standards or two aggressive standards I guess under

1448
01:11:12,760 --> 01:11:13,560
Speaker 1: the by administration.

1449
01:11:14,920 --> 01:11:18,920
Speaker 4: Yes, And here's the thing about trucks, and SUVs. You

1450
01:11:18,960 --> 01:11:21,920
Speaker 4: could argue, well, are people buying those because they need

1451
01:11:21,960 --> 01:11:24,000
Speaker 4: it or because it's what they want? I don't really know.

1452
01:11:24,760 --> 01:11:28,960
Speaker 4: Consumer choice always benefits the consumer. But here's a great

1453
01:11:29,000 --> 01:11:33,679
Speaker 4: example of how trucks can become more efficient while also

1454
01:11:33,840 --> 01:11:37,719
Speaker 4: serving the consumer's need. For example, there's a Ford pickup

1455
01:11:37,800 --> 01:11:40,519
Speaker 4: right now called the Ford Maverick. It's a small pickup truck.

1456
01:11:41,040 --> 01:11:43,000
Speaker 4: Well that hasn't been around for very long, of course,

1457
01:11:43,040 --> 01:11:45,560
Speaker 4: the name goes way back down to the seventies, but

1458
01:11:46,000 --> 01:11:49,080
Speaker 4: the actual vehicle that we have now, the Ford Maverick

1459
01:11:49,200 --> 01:11:52,080
Speaker 4: small pickup, has only been around for a few years.

1460
01:11:52,240 --> 01:11:55,320
Speaker 4: When they first introduced that, they couldn't make enough of

1461
01:11:55,360 --> 01:11:58,160
Speaker 4: those to keep up with demand. So that shows that

1462
01:11:58,280 --> 01:12:02,240
Speaker 4: consumers want something that makes sense. It's up to automakers

1463
01:12:02,280 --> 01:12:05,200
Speaker 4: to meet them where they are and give them the range,

1464
01:12:05,280 --> 01:12:08,080
Speaker 4: the price, the value and reliability they expect.

1465
01:12:08,240 --> 01:12:10,320
Speaker 1: I thought I had rare or heard that the Maverick,

1466
01:12:10,320 --> 01:12:13,640
Speaker 1: the Ford Maverick is just basically what it's replacing, the

1467
01:12:13,640 --> 01:12:14,360
Speaker 1: Ford Escape.

1468
01:12:16,320 --> 01:12:18,880
Speaker 4: Yeah, I mean, the Ford Escape is a small suv

1469
01:12:19,000 --> 01:12:21,320
Speaker 4: and we may end up seeing hybrid or plug in

1470
01:12:21,400 --> 01:12:24,400
Speaker 4: hybrid versions of that in the near future. The thing

1471
01:12:24,439 --> 01:12:28,040
Speaker 4: with the Maverick that was so I guess telling is

1472
01:12:28,120 --> 01:12:31,360
Speaker 4: that it doesn't have a big VA, it isn't oversized,

1473
01:12:31,439 --> 01:12:34,120
Speaker 4: it doesn't cost sixty thousand dollars, it doesn't even cost

1474
01:12:34,120 --> 01:12:38,920
Speaker 4: fifty thousand dollars. It's low price. It has some nice features,

1475
01:12:39,200 --> 01:12:43,720
Speaker 4: but it arguably has much less capability than say a

1476
01:12:43,960 --> 01:12:47,679
Speaker 4: Ford F two fifty, which is probably a special thing

1477
01:12:48,160 --> 01:12:50,920
Speaker 4: that some people do need. But the Maverick is a

1478
01:12:50,920 --> 01:12:53,080
Speaker 4: great example, and I bet you you'll see others when

1479
01:12:53,120 --> 01:12:56,479
Speaker 4: it comes to hybrids and electric counts more right, size

1480
01:12:56,520 --> 01:12:58,880
Speaker 4: solutions for what Americans want today.

1481
01:12:59,000 --> 01:13:01,240
Speaker 1: Yeah, I mean, you've seen the small pig and I

1482
01:13:01,240 --> 01:13:03,000
Speaker 1: guess I don't know what you categorize, but the small

1483
01:13:03,040 --> 01:13:06,120
Speaker 1: pickup truck Jeep has a model. It's like every manufacturer's

1484
01:13:06,200 --> 01:13:10,000
Speaker 1: rolling out a small pickup truck because they pickup truck.

1485
01:13:09,760 --> 01:13:14,479
Speaker 4: Aesthetic, right, Like there's a Hyundai Santa Cruz. You know

1486
01:13:14,520 --> 01:13:17,600
Speaker 4: what these cars all remind me of. It's almost like

1487
01:13:17,720 --> 01:13:20,760
Speaker 4: everything that's everything that's new, or everything that's old is

1488
01:13:20,800 --> 01:13:24,360
Speaker 4: new again. These small pickups like the Hyundai Santa Cruz

1489
01:13:24,400 --> 01:13:25,960
Speaker 4: and the Fort Maverick and some of the ones that

1490
01:13:26,040 --> 01:13:28,120
Speaker 4: you mentioned, what they kind of remind me of as

1491
01:13:28,160 --> 01:13:32,840
Speaker 4: a Chevy El Camino. It's small car base, right, not

1492
01:13:32,960 --> 01:13:35,320
Speaker 4: the Jeep, but the other ones are car based, better

1493
01:13:35,360 --> 01:13:39,160
Speaker 4: fuel economy, and it occasionally helps you do some utility

1494
01:13:39,240 --> 01:13:42,160
Speaker 4: tasks that you might need or might not need. But

1495
01:13:42,240 --> 01:13:44,400
Speaker 4: meanwhile you can drive it around every day comfortably.

1496
01:13:45,080 --> 01:13:50,280
Speaker 1: It can't belong before bring the station wagon back. You

1497
01:13:50,320 --> 01:13:51,160
Speaker 1: think that's gonna happen.

1498
01:13:52,200 --> 01:13:54,680
Speaker 4: I'm hoping because here's what I've noticed, and I'm this

1499
01:13:54,800 --> 01:13:59,479
Speaker 4: is only anecdotal. My own kids, who recently became driving age,

1500
01:13:59,479 --> 01:14:03,240
Speaker 4: have said nobody wants those big SUVs because it's too

1501
01:14:03,280 --> 01:14:05,759
Speaker 4: hard to judge where you are and when you're learning

1502
01:14:05,760 --> 01:14:09,240
Speaker 4: how to drive. They both kids said they prefer a

1503
01:14:09,360 --> 01:14:15,639
Speaker 4: small sedan or a hatchback. Well, SUVs replaced all those cars.

1504
01:14:15,640 --> 01:14:18,519
Speaker 4: So what's going to happen when these younger people move

1505
01:14:18,600 --> 01:14:21,360
Speaker 4: into the place where they're like, I don't want SUVs.

1506
01:14:21,400 --> 01:14:24,479
Speaker 4: They don't want SUV's because why we didn't want station wagons.

1507
01:14:24,600 --> 01:14:25,559
Speaker 4: That's my mom drives.

1508
01:14:25,720 --> 01:14:29,599
Speaker 1: Yeah, yeah, yeah, And eventually we'll come back like trucker

1509
01:14:29,640 --> 01:14:33,720
Speaker 1: hats and fanny packs. He's Brian Moody. He's the executive

1510
01:14:33,840 --> 01:14:38,240
Speaker 1: editor of Auto Trader and Kelly Bluebook talking about Trump's

1511
01:14:38,320 --> 01:14:41,640
Speaker 1: and the Trump administrations cut on cafe standards, which environmentals

1512
01:14:41,680 --> 01:14:43,800
Speaker 1: are gnashing their teeth over. But I think it's a

1513
01:14:43,800 --> 01:14:46,200
Speaker 1: good business simply because it's so hard for Detroit or

1514
01:14:46,240 --> 01:14:49,040
Speaker 1: all automatic American automakers, for manner doesn't have to be

1515
01:14:49,040 --> 01:14:51,799
Speaker 1: Detroit to try and keep up with that kind of stuff,

1516
01:14:51,960 --> 01:14:55,040
Speaker 1: And it totally does not mesh with what consumers demand,

1517
01:14:55,040 --> 01:14:58,360
Speaker 1: which are more trucks and SUVs and even smaller pickup

1518
01:14:58,360 --> 01:15:00,720
Speaker 1: trucks and SUVs for that matter. Do we also have

1519
01:15:00,760 --> 01:15:03,600
Speaker 1: to talk about evs. I was blown away when I

1520
01:15:03,640 --> 01:15:07,919
Speaker 1: traveled this summer to Australia the number of Chinese evs

1521
01:15:07,920 --> 01:15:10,720
Speaker 1: that are on the market as ubers there, and I

1522
01:15:10,760 --> 01:15:13,880
Speaker 1: thought the fit and finish looked pretty good in most cases,

1523
01:15:13,920 --> 01:15:16,920
Speaker 1: sometimes maybe not so much. But how much a threat

1524
01:15:17,000 --> 01:15:18,120
Speaker 1: is that to our market here?

1525
01:15:19,280 --> 01:15:23,000
Speaker 4: It's a big threat. That's how economic weapons work. I mean,

1526
01:15:24,040 --> 01:15:27,360
Speaker 4: they use their advantage to drive the price down, and

1527
01:15:27,600 --> 01:15:30,600
Speaker 4: they have working conditions and things in other parts of

1528
01:15:30,600 --> 01:15:34,000
Speaker 4: the world we wouldn't have here. But in other parts

1529
01:15:34,000 --> 01:15:36,479
Speaker 4: of the world they don't go by those same rules.

1530
01:15:37,160 --> 01:15:39,600
Speaker 4: Undercut the price of what's there and introduce it to

1531
01:15:39,680 --> 01:15:42,200
Speaker 4: a market and then you can drive the other people

1532
01:15:42,240 --> 01:15:46,479
Speaker 4: out of business. That's called an economic weapon. The idea

1533
01:15:46,720 --> 01:15:50,320
Speaker 4: that people would want these cars is not surprising because

1534
01:15:50,360 --> 01:15:52,840
Speaker 4: they're good, but there has to be some kind of

1535
01:15:52,920 --> 01:15:56,160
Speaker 4: protection all over the world, not just in the US,

1536
01:15:56,200 --> 01:15:58,720
Speaker 4: to make sure that it's living up to the standards

1537
01:15:58,720 --> 01:16:02,280
Speaker 4: that we all hold amongst ourselves in terms of where

1538
01:16:02,280 --> 01:16:04,599
Speaker 4: are the materials come from, how is it built, and

1539
01:16:05,040 --> 01:16:06,120
Speaker 4: who's building.

1540
01:16:05,800 --> 01:16:10,599
Speaker 1: It well as we relax cafe standards for internal combusting engines.

1541
01:16:10,880 --> 01:16:12,759
Speaker 1: It looks like to me, and again it's a brief sample.

1542
01:16:12,760 --> 01:16:16,520
Speaker 1: You tell me, Brian, the global market continues to prioritize electrification.

1543
01:16:16,680 --> 01:16:18,360
Speaker 1: Is that kind of put us at a disadvantage in

1544
01:16:18,400 --> 01:16:22,280
Speaker 1: the next I don't know, within the next ten years maybe.

1545
01:16:22,320 --> 01:16:26,439
Speaker 4: But here's the thing, more realistic goals would be helpful.

1546
01:16:27,080 --> 01:16:29,840
Speaker 4: No one's going No one's arguing that, you know, oh,

1547
01:16:29,880 --> 01:16:32,120
Speaker 4: electric cars are going to go away. That's not true.

1548
01:16:32,560 --> 01:16:36,080
Speaker 4: I think if most people, the average American, if they

1549
01:16:36,080 --> 01:16:38,680
Speaker 4: were to drive an electric car, they would like it. Yep.

1550
01:16:39,120 --> 01:16:41,920
Speaker 4: Now that means there's other things that have to be

1551
01:16:42,000 --> 01:16:44,360
Speaker 4: solved though. What about the price, what about the durability,

1552
01:16:44,400 --> 01:16:47,360
Speaker 4: what about the resale value. What about where I charge

1553
01:16:47,360 --> 01:16:49,880
Speaker 4: it up? It's perfect for people to have their own home,

1554
01:16:49,960 --> 01:16:52,479
Speaker 4: because that's about eighty percent of people that have electric

1555
01:16:52,520 --> 01:16:55,519
Speaker 4: cars charge them up at home. What about everybody else? Right,

1556
01:16:55,720 --> 01:16:58,640
Speaker 4: it's not the car that's necessarily the issue. It's a

1557
01:16:58,640 --> 01:17:00,439
Speaker 4: lot of other things that go into it.

1558
01:17:00,560 --> 01:17:03,320
Speaker 1: Yeah, if I live in a metro city like Cincinnati

1559
01:17:03,479 --> 01:17:06,200
Speaker 1: and I don't have a garage, I don't have access

1560
01:17:06,240 --> 01:17:08,640
Speaker 1: to that. How do I charge my electric vehicle? I

1561
01:17:08,720 --> 01:17:11,640
Speaker 1: need a traditional internal combustion engine at least, so we

1562
01:17:11,680 --> 01:17:13,920
Speaker 1: solve that. But again, the market will decide that.

1563
01:17:15,000 --> 01:17:18,400
Speaker 4: Right, the market should always decide these things. One thing

1564
01:17:18,439 --> 01:17:21,559
Speaker 4: that's a misnomer that I've heard often with electric cars

1565
01:17:21,680 --> 01:17:26,719
Speaker 4: is there's an argument that presumes that people who live

1566
01:17:26,800 --> 01:17:32,200
Speaker 4: in apartments or in mixed use housing. Let's say they

1567
01:17:32,200 --> 01:17:34,720
Speaker 4: don't want electric cars because they're too expensive, and the

1568
01:17:34,760 --> 01:17:36,880
Speaker 4: reason they're living in an apartment is because that's what

1569
01:17:36,920 --> 01:17:41,080
Speaker 4: they can afford. That's not true. There's many, many people

1570
01:17:41,280 --> 01:17:44,800
Speaker 4: in many cities across the country that choose to live

1571
01:17:44,960 --> 01:17:49,200
Speaker 4: in apartments, townhouses, or condos because that's what suits their

1572
01:17:49,240 --> 01:17:52,719
Speaker 4: lifestyle best. Not everyone wants to mow yard on a Saturday.

1573
01:17:53,080 --> 01:17:56,040
Speaker 4: Not everybody wants that. They just want come home. I

1574
01:17:56,200 --> 01:17:58,120
Speaker 4: have a place to go. It's all taken care of.

1575
01:17:58,600 --> 01:18:00,719
Speaker 4: And that's the thing that we need to solve next

1576
01:18:00,760 --> 01:18:03,320
Speaker 4: for how do you charge those things up? Also, there's

1577
01:18:03,439 --> 01:18:06,360
Speaker 4: just a mechanism of how long it takes to charge.

1578
01:18:06,520 --> 01:18:09,479
Speaker 4: If you need ten gas pumps, you probably need thirty

1579
01:18:09,560 --> 01:18:13,599
Speaker 4: charging stations based on the duration of time it takes

1580
01:18:13,960 --> 01:18:16,519
Speaker 4: to quote fill up your tank with an electric car.

1581
01:18:16,479 --> 01:18:17,080
Speaker 2: Yeah, it makes sense.

1582
01:18:17,120 --> 01:18:19,839
Speaker 1: I mean, if you drive several hundred miles, for example,

1583
01:18:19,880 --> 01:18:21,439
Speaker 1: you road trip it, you're going to have to plan

1584
01:18:21,520 --> 01:18:23,400
Speaker 1: out how long and where you stop. It's going to

1585
01:18:23,400 --> 01:18:25,519
Speaker 1: take more time to get from point A to point

1586
01:18:25,520 --> 01:18:28,920
Speaker 1: B driving a electric you can do much more on

1587
01:18:28,920 --> 01:18:31,599
Speaker 1: a hybrid, which seems to also have fallen out of favors.

1588
01:18:31,640 --> 01:18:33,880
Speaker 1: And I mean my son has a hybrid, he's had

1589
01:18:33,880 --> 01:18:35,599
Speaker 1: one for years. He loves it. He's getting like ninety

1590
01:18:35,640 --> 01:18:37,639
Speaker 1: nine miles of the gallon and when it's not charged,

1591
01:18:37,880 --> 01:18:40,880
Speaker 1: the internal combustion engine kicks in. It seems like a

1592
01:18:40,880 --> 01:18:42,880
Speaker 1: fair trade. Why did that fallow the favor.

1593
01:18:43,760 --> 01:18:46,719
Speaker 4: Well, because I think a lot of it is marketing.

1594
01:18:47,360 --> 01:18:49,400
Speaker 4: I think a lot of it is headline grabbing. But

1595
01:18:49,479 --> 01:18:51,439
Speaker 4: I think twenty twenty six will be the year of

1596
01:18:51,479 --> 01:18:54,280
Speaker 4: the hybrid. I really do think that people have kind

1597
01:18:54,280 --> 01:18:58,280
Speaker 4: of come to terms with the taxpayer funded incentive for

1598
01:18:58,439 --> 01:19:04,080
Speaker 4: EV's is gone. The cars at current state are relatively expensive,

1599
01:19:04,080 --> 01:19:07,559
Speaker 4: about fifty eight thousand dollars on average. Hybrids are much

1600
01:19:07,600 --> 01:19:10,400
Speaker 4: more affordable, and you have brands like Towyta that are

1601
01:19:10,400 --> 01:19:14,400
Speaker 4: moving to almost all hybrids. All of their cars either

1602
01:19:14,720 --> 01:19:17,880
Speaker 4: can be had as hybrids or in some cases like

1603
01:19:17,920 --> 01:19:22,400
Speaker 4: the Sienna and the Camera and the Crown, that's the

1604
01:19:22,400 --> 01:19:25,040
Speaker 4: only way it comes. So we're moving to a point

1605
01:19:25,080 --> 01:19:27,080
Speaker 4: when you look at Twitter like as a leader in

1606
01:19:27,160 --> 01:19:29,760
Speaker 4: this area, right, they're moving to a point where it's

1607
01:19:29,800 --> 01:19:32,040
Speaker 4: not a choice about getting a hybrid, it's just going

1608
01:19:32,120 --> 01:19:36,439
Speaker 4: to come that way, and the way they operate is normal.

1609
01:19:36,479 --> 01:19:39,000
Speaker 4: For the most part. They've changed. Listen, anybody out there

1610
01:19:39,000 --> 01:19:40,559
Speaker 4: who's thought, oh, I was going to get a hybrid

1611
01:19:40,600 --> 01:19:43,160
Speaker 4: fifteen years ago, but they're terrible to drive. You've got

1612
01:19:43,160 --> 01:19:45,000
Speaker 4: to drive one today, they're much much better.

1613
01:19:45,400 --> 01:19:48,280
Speaker 1: Yeah, technology improves, I mean in EVS. I drove a

1614
01:19:48,479 --> 01:19:52,040
Speaker 1: Tesla a few years ago and it was an incredible experience.

1615
01:19:52,040 --> 01:19:54,400
Speaker 1: You know, you're driving a computer, self driving computer for

1616
01:19:54,439 --> 01:19:56,519
Speaker 1: that matter. That technology is only going to get better.

1617
01:19:56,520 --> 01:19:59,160
Speaker 1: But I still think we I think hybrid bridge is

1618
01:19:59,200 --> 01:20:01,000
Speaker 1: a gap for a long time. I'm to Thomas Brian

1619
01:20:01,040 --> 01:20:05,080
Speaker 1: Moody over Kelly Bluebook and Auto Trader talking about Trump

1620
01:20:05,120 --> 01:20:09,040
Speaker 1: relaxing the cafe standards, which is great for manufacturers. It's

1621
01:20:09,040 --> 01:20:11,559
Speaker 1: also great for consumers as well. We going to see

1622
01:20:11,560 --> 01:20:13,760
Speaker 1: prices level off, if not drop because of this.

1623
01:20:15,240 --> 01:20:15,679
Speaker 6: We may.

1624
01:20:15,960 --> 01:20:19,120
Speaker 4: But here's the thing about any kind of those predictions.

1625
01:20:19,479 --> 01:20:24,160
Speaker 4: The cycle where automakers planned and developed and research vehicles

1626
01:20:24,760 --> 01:20:27,120
Speaker 4: is much longer than a year or two. It's more

1627
01:20:27,320 --> 01:20:32,000
Speaker 4: like six to eight years. So the few economy standards

1628
01:20:32,000 --> 01:20:34,439
Speaker 4: that we have now, yeah, there's a few things they

1629
01:20:34,479 --> 01:20:37,719
Speaker 4: can do in the short term, but planning, long term planning,

1630
01:20:38,040 --> 01:20:41,880
Speaker 4: And this is probably a point where what President Trump

1631
01:20:41,880 --> 01:20:45,080
Speaker 4: has done might be a disadvantage because the back and

1632
01:20:45,160 --> 01:20:48,320
Speaker 4: forth can be hard on the automaker being able to

1633
01:20:48,360 --> 01:20:52,200
Speaker 4: plan out their product portfolio long term. So it would

1634
01:20:52,200 --> 01:20:54,800
Speaker 4: be better to have a middle ground and just say, hey,

1635
01:20:55,080 --> 01:20:57,439
Speaker 4: we all agree, let's just keep it this way for

1636
01:20:57,479 --> 01:20:59,680
Speaker 4: the next twelve years. That would be better than up

1637
01:20:59,760 --> 01:21:01,360
Speaker 4: and down out in the short term.

1638
01:21:01,400 --> 01:21:04,000
Speaker 1: I guess get more granular here, Brian, what's the actual

1639
01:21:04,040 --> 01:21:07,120
Speaker 1: production cost difference between meeting the old two percent standard

1640
01:21:07,240 --> 01:21:09,920
Speaker 1: versus the half a percent standard per vehicle? How much

1641
01:21:09,960 --> 01:21:11,360
Speaker 1: does that shave off a car any idea.

1642
01:21:12,880 --> 01:21:14,680
Speaker 4: I don't know how much it shaves off a car

1643
01:21:14,760 --> 01:21:17,120
Speaker 4: in terms of production, but I know that it does

1644
01:21:17,240 --> 01:21:20,360
Speaker 4: reduce the cost of building cars in terms of compliance.

1645
01:21:20,800 --> 01:21:23,599
Speaker 4: For example, I spoke to this. This is some time ago.

1646
01:21:23,680 --> 01:21:27,320
Speaker 4: I spoke to an executive at the company Renault, which

1647
01:21:27,360 --> 01:21:30,760
Speaker 4: is a French company, and one of the reasons they

1648
01:21:30,840 --> 01:21:34,080
Speaker 4: stopped making one of their cars with a certain power

1649
01:21:34,120 --> 01:21:38,240
Speaker 4: train I think it was a diesel powered subcompact. They said,

1650
01:21:38,240 --> 01:21:41,240
Speaker 4: we can't make money on this car because thirty percent

1651
01:21:41,400 --> 01:21:45,000
Speaker 4: of the cost is compliant. So any kind you hear

1652
01:21:45,400 --> 01:21:50,040
Speaker 4: an additional piece of equipment being added or standards being changed,

1653
01:21:50,280 --> 01:21:53,479
Speaker 4: there's a cost for compliance. There's a cost for testing

1654
01:21:53,720 --> 01:21:57,880
Speaker 4: in addition to the actual production of the car. Let alone,

1655
01:21:58,000 --> 01:22:01,760
Speaker 4: whether or not you decreased drivability or reliability.

1656
01:22:02,200 --> 01:22:04,479
Speaker 1: Okay, that's what we'll set that aside. That's an interesting

1657
01:22:04,840 --> 01:22:08,080
Speaker 1: perspective from them too. But the other element here too is, Okay,

1658
01:22:08,120 --> 01:22:10,840
Speaker 1: we don't have the ev incentives anymore, so, you know,

1659
01:22:10,960 --> 01:22:14,120
Speaker 1: no more bellouts for EV and relaxed standards. What happens

1660
01:22:14,120 --> 01:22:16,599
Speaker 1: with market share relative to EV's and it's not hybrids

1661
01:22:16,680 --> 01:22:18,840
Speaker 1: but just electric vehicles over the next let's say, five

1662
01:22:18,880 --> 01:22:20,800
Speaker 1: to eight years, I.

1663
01:22:20,760 --> 01:22:22,920
Speaker 4: Think they're going to level off at a certain there's

1664
01:22:22,920 --> 01:22:24,519
Speaker 4: there's going to be a point where it's going to

1665
01:22:24,600 --> 01:22:27,799
Speaker 4: feel comfortable as part of the market, maybe ten percent,

1666
01:22:27,880 --> 01:22:32,320
Speaker 4: let's say. However, I think that the elimination of the rebates,

1667
01:22:32,400 --> 01:22:36,240
Speaker 4: the taxpayer funded incentives for electric cars, I think that's

1668
01:22:36,280 --> 01:22:38,840
Speaker 4: going to be good for electric cars in the long run.

1669
01:22:39,760 --> 01:22:42,719
Speaker 1: What about the sun costs that all automakers have gotten

1670
01:22:42,720 --> 01:22:44,720
Speaker 1: into with evs, and now that we're backing off of that,

1671
01:22:44,760 --> 01:22:47,080
Speaker 1: what happens with that?

1672
01:22:47,080 --> 01:22:49,560
Speaker 4: That's hard. They're going to have to make some adjustments,

1673
01:22:49,640 --> 01:22:54,280
Speaker 4: and we already see companies like Volvo, for example, maybe

1674
01:22:54,320 --> 01:22:56,800
Speaker 4: walking it back a little bit. And rather than saying, hey,

1675
01:22:56,800 --> 01:23:00,200
Speaker 4: we're going to force an ideological solution onto the consumer,

1676
01:23:00,720 --> 01:23:04,200
Speaker 4: they have recently said we're going to let consumer demand

1677
01:23:04,400 --> 01:23:07,840
Speaker 4: dictate what we do. So full electric by a certain

1678
01:23:07,880 --> 01:23:11,360
Speaker 4: time okay, maybe, but they're not going to artificially set

1679
01:23:11,400 --> 01:23:13,880
Speaker 4: those times. They're going to let like you had said before,

1680
01:23:14,360 --> 01:23:17,240
Speaker 4: let the market decide. That's always going to work out

1681
01:23:17,280 --> 01:23:20,479
Speaker 4: best for the company and for the consumer, because what

1682
01:23:20,600 --> 01:23:22,439
Speaker 4: do we pick. We all picked the thing that we

1683
01:23:22,600 --> 01:23:24,439
Speaker 4: like best that we can afford.

1684
01:23:24,760 --> 01:23:28,400
Speaker 1: Okay, But then, logically speaking, three years from now, let's

1685
01:23:28,400 --> 01:23:30,840
Speaker 1: say a Democrat gets elected. Does this all get wiped

1686
01:23:30,840 --> 01:23:32,360
Speaker 1: out and we start over again? And how do you

1687
01:23:32,400 --> 01:23:35,000
Speaker 1: plan that far ahead, if at all, If you're an

1688
01:23:35,000 --> 01:23:37,200
Speaker 1: auto manufacturer or tell a car.

1689
01:23:37,120 --> 01:23:41,240
Speaker 4: Dealer, that's a risk. I mean, that's definitely a risk.

1690
01:23:41,760 --> 01:23:44,240
Speaker 4: And some could argue that's a weak point in the system,

1691
01:23:44,280 --> 01:23:49,720
Speaker 4: that it's too prone to partisan back and forth. It

1692
01:23:49,760 --> 01:23:53,679
Speaker 4: would be better to have a middle ground that just said, hey,

1693
01:23:53,840 --> 01:23:56,880
Speaker 4: here's a good number for a fuel economy. Let's all agree.

1694
01:23:57,000 --> 01:24:01,000
Speaker 4: Let's have like a cross party committee that can just

1695
01:24:01,080 --> 01:24:03,519
Speaker 4: agree that this is a number and not politicize it.

1696
01:24:03,600 --> 01:24:07,559
Speaker 4: Because most cars today, like the average car, you can

1697
01:24:07,600 --> 01:24:10,559
Speaker 4: get a car that's gackling only not a hybrid that

1698
01:24:10,640 --> 01:24:13,080
Speaker 4: can get forty miles per gallon on the highway. That

1699
01:24:13,200 --> 01:24:16,559
Speaker 4: was unheard of twenty years ago, right.

1700
01:24:16,560 --> 01:24:19,519
Speaker 1: Because of well, how much of that is innovation and

1701
01:24:20,240 --> 01:24:22,439
Speaker 1: how much of that is government? In that Hey, as

1702
01:24:22,439 --> 01:24:24,840
Speaker 1: soon as gas prices go up, people start selling their

1703
01:24:24,840 --> 01:24:27,200
Speaker 1: evs and cars and get more fuel efficient things. We

1704
01:24:27,240 --> 01:24:30,160
Speaker 1: have another oil prices. Everyone wants an EV or something

1705
01:24:30,200 --> 01:24:31,560
Speaker 1: that's going to get more miles to the gown. The

1706
01:24:31,600 --> 01:24:33,880
Speaker 1: minute it starts to go back down, we go back,

1707
01:24:34,120 --> 01:24:37,320
Speaker 1: whipsaw back to the other things. And that's well, again,

1708
01:24:37,400 --> 01:24:39,840
Speaker 1: that's a consumer demand in the thickleness that we have there.

1709
01:24:39,880 --> 01:24:40,920
Speaker 2: But I think it's.

1710
01:24:40,840 --> 01:24:44,840
Speaker 4: Valid, right, But consumers don't want a twelve mile per

1711
01:24:44,880 --> 01:24:48,639
Speaker 4: gallon car and the generation to go or less. That

1712
01:24:48,920 --> 01:24:53,599
Speaker 4: was not an unusual thing. Today, people expect their car

1713
01:24:53,720 --> 01:24:57,000
Speaker 4: to get reasonable fuel economy, add hybrid to it, and

1714
01:24:57,080 --> 01:25:00,400
Speaker 4: like you said, I personally drove a plug in ibridge

1715
01:25:00,439 --> 01:25:02,639
Speaker 4: for three months. This won't happen to be a Volvo.

1716
01:25:02,760 --> 01:25:05,839
Speaker 4: I've got seventy five to eighty miles per gallon plugging

1717
01:25:05,840 --> 01:25:09,240
Speaker 4: it in every day, so I know that's possible. And

1718
01:25:09,400 --> 01:25:14,200
Speaker 4: I think what happens is the fuel economy ads convenience.

1719
01:25:14,479 --> 01:25:18,000
Speaker 4: You now have cars, especially hybrids, with a driving range

1720
01:25:18,000 --> 01:25:21,839
Speaker 4: of five or six hundred miles. That is a lifestyle changer.

1721
01:25:22,280 --> 01:25:24,920
Speaker 4: When I hear people with electric cars or who are

1722
01:25:25,000 --> 01:25:27,400
Speaker 4: electric car proponents say well, on a long trip, it

1723
01:25:27,400 --> 01:25:29,760
Speaker 4: only takes an extra forty five minutes to charge up.

1724
01:25:30,240 --> 01:25:32,360
Speaker 4: That's true, it does only take an extra forty five

1725
01:25:32,360 --> 01:25:34,800
Speaker 4: minutes to charge up. But that sounds like someone who

1726
01:25:34,840 --> 01:25:37,080
Speaker 4: doesn't have toddlers.

1727
01:25:37,760 --> 01:25:41,200
Speaker 1: Yeah, right, exactly, and we'll leave it at that again.

1728
01:25:41,240 --> 01:25:43,600
Speaker 1: Brian Moody Kelly Bluebook in the Auto Trader, he's the

1729
01:25:43,640 --> 01:25:47,920
Speaker 1: executive editor there. So I think this is a great thing.

1730
01:25:48,000 --> 01:25:50,240
Speaker 1: Quite honestly, is getting a little bit more common sense

1731
01:25:50,280 --> 01:25:53,320
Speaker 1: back in manufacturers will thus they'll be incentive for them

1732
01:25:53,360 --> 01:25:57,120
Speaker 1: to reduce an increased fuel efficiency in the future. It's

1733
01:25:57,120 --> 01:25:58,920
Speaker 1: not like simply it's going to go well twelve miles

1734
01:25:58,960 --> 01:26:01,000
Speaker 1: a gall and we won't stand for that anymore. It's

1735
01:26:01,040 --> 01:26:03,360
Speaker 1: all about consumer demand, not what the government wants. And

1736
01:26:03,400 --> 01:26:04,960
Speaker 1: this one makes sense to me. Brian, all the best,

1737
01:26:04,960 --> 01:26:06,120
Speaker 1: thanks for jumping on this morning.

1738
01:26:07,040 --> 01:26:08,120
Speaker 4: Thank you beautiful day.

1739
01:26:08,240 --> 01:26:08,320
Speaker 2: Edd.

1740
01:26:08,320 --> 01:26:11,599
Speaker 1: Speak of weatherwise, we're gonna push maybe mid fifties today.

1741
01:26:11,640 --> 01:26:13,640
Speaker 1: By this time next week we could see sixty the

1742
01:26:13,640 --> 01:26:16,200
Speaker 1: big six to oz incredible full forecast in the Way

1743
01:26:16,240 --> 01:26:18,599
Speaker 1: Traffic News and when a return, we'll keep it money

1744
01:26:19,160 --> 01:26:22,000
Speaker 1: with Andy Schaeffer from all Worth Financial on that and more.

1745
01:26:22,040 --> 01:26:26,040
Speaker 1: Just ahead seven hundred WLW time to talk.

1746
01:26:25,800 --> 01:26:28,639
Speaker 4: About money, how to make it, how to keep it,

1747
01:26:28,880 --> 01:26:34,880
Speaker 4: and how to keep others off your stash.

1748
01:26:35,160 --> 01:26:38,800
Speaker 1: This is all Worth Advice with Andy Shaeffer. Yeah's time

1749
01:26:38,840 --> 01:26:40,880
Speaker 1: we'll talk a well cash money. He is the cash

1750
01:26:40,920 --> 01:26:43,880
Speaker 1: money player. The Minister of Money is Andy Shaeffer. Joining

1751
01:26:43,920 --> 01:26:46,040
Speaker 1: us from all Worth Financial this morning on seven hundred

1752
01:26:46,040 --> 01:26:49,439
Speaker 1: WW Scott's Loan Show, Little Tuesday Morning check at a

1753
01:26:49,520 --> 01:26:51,600
Speaker 1: case and last week ended pretty damn well with the

1754
01:26:51,640 --> 01:26:54,960
Speaker 1: Dow Jones closing about fifty thousand dollars for the first

1755
01:26:54,960 --> 01:26:58,799
Speaker 1: time ever. Although I'm told that is the old person's index,

1756
01:26:58,880 --> 01:27:02,000
Speaker 1: a younger people, younger investors don't give a damn about

1757
01:27:02,000 --> 01:27:02,400
Speaker 1: the Dow.

1758
01:27:02,760 --> 01:27:06,160
Speaker 6: Andy Schaeffer, Well, I'm not exactly a young person, so

1759
01:27:06,280 --> 01:27:09,760
Speaker 6: I kind of care about it. And I mean it

1760
01:27:09,800 --> 01:27:12,840
Speaker 6: did it hit fifty thousand on Friday, which was great.

1761
01:27:12,920 --> 01:27:15,840
Speaker 6: You know, I celebrated Friday night because I remember when

1762
01:27:15,880 --> 01:27:18,880
Speaker 6: I started in this business out in Denver, Colorado, back

1763
01:27:18,880 --> 01:27:21,960
Speaker 6: in nineteen ninety nine, it was around nine or ten thousand.

1764
01:27:22,160 --> 01:27:25,360
Speaker 6: So you know, that tells you immediately that if you

1765
01:27:25,479 --> 01:27:28,880
Speaker 6: just stay the course and have some strategies in place

1766
01:27:28,920 --> 01:27:32,280
Speaker 6: to navigate volatility, you know you're gonna come out on

1767
01:27:32,320 --> 01:27:34,719
Speaker 6: the other side looking pretty good. And so yeah, fifty

1768
01:27:34,760 --> 01:27:37,120
Speaker 6: thousand was a big deal to me. You know, usually

1769
01:27:37,120 --> 01:27:39,840
Speaker 6: when you talk about the markets and how the markets

1770
01:27:39,840 --> 01:27:41,759
Speaker 6: are performing, I think the S and P five hundreds

1771
01:27:41,920 --> 01:27:43,799
Speaker 6: is a little bit better gauge. You have five hundred

1772
01:27:43,800 --> 01:27:46,719
Speaker 6: of the largest US companies compared to the Dallas thirty.

1773
01:27:46,760 --> 01:27:50,080
Speaker 6: But it was still an exciting day and I certainly

1774
01:27:50,080 --> 01:27:52,719
Speaker 6: celebrated Friday night because I think that's a big deal.

1775
01:27:52,600 --> 01:27:55,400
Speaker 1: With well, like a ten thousand dollars bottle of wine.

1776
01:27:55,520 --> 01:27:58,880
Speaker 6: Yeah, well, you know, we had a good time.

1777
01:27:58,920 --> 01:28:01,479
Speaker 1: I mean, I saw Street. I know what happens in

1778
01:28:01,520 --> 01:28:02,200
Speaker 1: those limos.

1779
01:28:03,320 --> 01:28:04,080
Speaker 2: Amount of money.

1780
01:28:04,479 --> 01:28:06,080
Speaker 6: Well, and I think you know, a lot of people

1781
01:28:06,120 --> 01:28:08,040
Speaker 6: have made a lot of money over the last three years.

1782
01:28:08,080 --> 01:28:12,040
Speaker 6: If you've been invested and didn't panic during the terrorists

1783
01:28:12,120 --> 01:28:15,439
Speaker 6: last April, made some adjustments to your portfolio, there's a

1784
01:28:15,479 --> 01:28:16,960
Speaker 6: lot of people that have made a lot of money

1785
01:28:17,080 --> 01:28:19,600
Speaker 6: over the last three years. And you know, hopefully everybody's

1786
01:28:19,640 --> 01:28:22,640
Speaker 6: continuing to participate. You know, our data right now is

1787
01:28:22,680 --> 01:28:25,519
Speaker 6: fairly stable, So hang in there. I think there are

1788
01:28:25,560 --> 01:28:26,599
Speaker 6: still brighter days to come.

1789
01:28:26,720 --> 01:28:28,920
Speaker 1: Yeah, as Cube said, it was a good day. That's

1790
01:28:28,960 --> 01:28:31,760
Speaker 1: right at the same time we got fifty thousand the Dow.

1791
01:28:32,160 --> 01:28:35,520
Speaker 1: We also saw a little bit how AI can disrupt markets.

1792
01:28:35,920 --> 01:28:39,160
Speaker 6: Oh yeah, so AI was interesting last week. You know

1793
01:28:39,200 --> 01:28:41,519
Speaker 6: that at one point there was a venture capitalist that

1794
01:28:41,800 --> 01:28:44,559
Speaker 6: said that software is eating the work, eating the world.

1795
01:28:44,560 --> 01:28:47,240
Speaker 6: And he said that back in twenty and eleven, and

1796
01:28:47,240 --> 01:28:49,600
Speaker 6: and what he meant by that was that, you know,

1797
01:28:49,600 --> 01:28:52,040
Speaker 6: when we have this new technology, it can make other

1798
01:28:52,120 --> 01:28:55,160
Speaker 6: technology a little bit obsolete. And one of the things

1799
01:28:55,200 --> 01:28:58,080
Speaker 6: that he said was, you know, the emerging cloud computing

1800
01:28:58,120 --> 01:29:02,439
Speaker 6: capabilities and the ability to scale infrastructure with low upfront costs,

1801
01:29:02,840 --> 01:29:06,120
Speaker 6: you know, can have a big impact on our general

1802
01:29:06,160 --> 01:29:08,200
Speaker 6: production and the way that we do business. And so

1803
01:29:08,880 --> 01:29:10,680
Speaker 6: you know, if you fast forward to today, there's some

1804
01:29:10,800 --> 01:29:13,599
Speaker 6: fear that AI is kind of doing the same to software.

1805
01:29:14,320 --> 01:29:16,160
Speaker 6: And some of that was evident last week when you

1806
01:29:16,200 --> 01:29:20,040
Speaker 6: saw Anthropodict showcase some of the new features in It's

1807
01:29:20,120 --> 01:29:23,000
Speaker 6: in its cloud agent that basically can handle a lot

1808
01:29:23,080 --> 01:29:25,720
Speaker 6: of the complex workflows that you would have with your

1809
01:29:25,760 --> 01:29:29,400
Speaker 6: basic CRMs. You know, we use Salesforce here at all

1810
01:29:29,400 --> 01:29:32,160
Speaker 6: Worth Financial, and I do love that CRM. But what

1811
01:29:32,200 --> 01:29:33,920
Speaker 6: you're starting to see is is that some of these

1812
01:29:34,000 --> 01:29:37,479
Speaker 6: AI capabilities you know, can solve a lot of these

1813
01:29:37,479 --> 01:29:40,360
Speaker 6: workflows a lot more efficiently than what we see with

1814
01:29:40,479 --> 01:29:42,920
Speaker 6: General CRM. So there's some concern there.

1815
01:29:42,960 --> 01:29:43,120
Speaker 2: Now.

1816
01:29:43,120 --> 01:29:45,439
Speaker 6: I don't think that this is going to you know,

1817
01:29:45,560 --> 01:29:48,040
Speaker 6: change the way that we do business overnight or make

1818
01:29:48,200 --> 01:29:51,040
Speaker 6: the software obsolete, but there has to be a transition

1819
01:29:51,280 --> 01:29:53,439
Speaker 6: on the end user companies to attempt to kind of

1820
01:29:53,479 --> 01:29:56,960
Speaker 6: recreate some of those types of AI approaches, and so

1821
01:29:57,120 --> 01:30:00,960
Speaker 6: that's something that has a lot of investors concern generally speaking,

1822
01:30:00,960 --> 01:30:03,679
Speaker 6: and I think there could be over time some pressure

1823
01:30:03,720 --> 01:30:05,519
Speaker 6: on that industry. But you know, it's you have to be.

1824
01:30:05,479 --> 01:30:09,080
Speaker 1: Seen, okay, Yeah, and it's it's all changing, its intermingling

1825
01:30:09,120 --> 01:30:11,240
Speaker 1: and those things across I guess it. So at some point,

1826
01:30:11,240 --> 01:30:13,559
Speaker 1: maybe AI companies become traded on the Dow and then

1827
01:30:13,600 --> 01:30:16,000
Speaker 1: the young people who hate the Dow will and lean

1828
01:30:16,040 --> 01:30:17,679
Speaker 1: into it because they're older and that's where the money

1829
01:30:17,720 --> 01:30:20,439
Speaker 1: is it's more stable. So that's right. It just trickles up.

1830
01:30:20,479 --> 01:30:23,280
Speaker 2: It's just I mean, you look at it throughout history.

1831
01:30:23,320 --> 01:30:24,800
Speaker 6: You know, when we were in the nineteen twenties and

1832
01:30:24,840 --> 01:30:27,599
Speaker 6: nineteen thirties, you know, we had mostly an industrial type

1833
01:30:27,640 --> 01:30:30,120
Speaker 6: of economy, you know, general Electric used to be on

1834
01:30:30,160 --> 01:30:31,680
Speaker 6: the Dow. They're not on the Dow anymore. And so

1835
01:30:31,880 --> 01:30:33,519
Speaker 6: you know, when you when you look at the way

1836
01:30:33,520 --> 01:30:36,400
Speaker 6: that we transition from a society where it used to

1837
01:30:36,479 --> 01:30:40,400
Speaker 6: be manufacturing was the driver to how you know, our

1838
01:30:40,560 --> 01:30:43,240
Speaker 6: total output as far as GDP was more important than

1839
01:30:43,280 --> 01:30:45,479
Speaker 6: the services industry. Well, that is flipped on its head.

1840
01:30:45,520 --> 01:30:48,240
Speaker 6: You know, now the services industry is way more important

1841
01:30:48,280 --> 01:30:50,519
Speaker 6: than our manufacturing industry, and you just have to be

1842
01:30:50,880 --> 01:30:51,719
Speaker 6: willing to adapt.

1843
01:30:51,960 --> 01:30:54,840
Speaker 1: Okay, very good, that's the volatility. Where at the Dow,

1844
01:30:54,960 --> 01:30:57,599
Speaker 1: things are looking good. Everything's holding steady. Right now, Let's

1845
01:30:57,640 --> 01:31:00,320
Speaker 1: talk about that job market. The January jobs report laid

1846
01:31:00,360 --> 01:31:03,519
Speaker 1: because of the mini meltdown that Congress had last week,

1847
01:31:04,360 --> 01:31:06,959
Speaker 1: but there's plenty of labor market data to decipher.

1848
01:31:07,000 --> 01:31:07,120
Speaker 2: Here.

1849
01:31:07,160 --> 01:31:07,559
Speaker 1: What do we have?

1850
01:31:08,080 --> 01:31:10,679
Speaker 6: Yeah, so the January jobs report was delayed last week.

1851
01:31:10,720 --> 01:31:13,040
Speaker 6: We're actually going to get those numbers tomorrow, so that

1852
01:31:13,080 --> 01:31:16,839
Speaker 6: will be interesting. Yeah, we're looking at kind of lukewarm report,

1853
01:31:16,960 --> 01:31:20,679
Speaker 6: maybe seventy thousand new jobs added. I think unemployment might

1854
01:31:20,920 --> 01:31:23,840
Speaker 6: hold study at about four point four percent. But we

1855
01:31:23,840 --> 01:31:26,679
Speaker 6: did get some some data last week, the Jolts Report,

1856
01:31:26,720 --> 01:31:28,640
Speaker 6: which we like to call to take this job and

1857
01:31:28,680 --> 01:31:32,320
Speaker 6: Shove it report where if you have a job and

1858
01:31:32,360 --> 01:31:35,160
Speaker 6: you're actively seeking another job, and so you know, that

1859
01:31:35,200 --> 01:31:38,880
Speaker 6: gives us an indication of how much availability in jobs

1860
01:31:38,880 --> 01:31:40,760
Speaker 6: that are out there. And we saw that they fell

1861
01:31:40,840 --> 01:31:43,160
Speaker 6: sharply and December at about six point five million, and

1862
01:31:43,200 --> 01:31:46,439
Speaker 6: that was its lowest level. So it's twenty twenty. The

1863
01:31:46,560 --> 01:31:50,120
Speaker 6: ratio of job openings to unemployed workers further fell below one,

1864
01:31:50,240 --> 01:31:53,160
Speaker 6: So that kind of signaled a hiring demand and wage

1865
01:31:53,160 --> 01:31:55,880
Speaker 6: pressure are easing a little bit. And so you know,

1866
01:31:55,920 --> 01:31:57,840
Speaker 6: when we flip that towards the FED, you know, the

1867
01:31:57,880 --> 01:31:59,719
Speaker 6: FED is thinking at this point, well, if we continue

1868
01:31:59,760 --> 01:32:02,639
Speaker 6: to see you know, more stress in the labor market

1869
01:32:02,720 --> 01:32:05,120
Speaker 6: than things starting to cool down, that might allow them

1870
01:32:05,160 --> 01:32:07,360
Speaker 6: to cut rates even further. So we'll see how that goes.

1871
01:32:07,400 --> 01:32:09,360
Speaker 1: Now, we saw jobless numbers go up, though.

1872
01:32:09,920 --> 01:32:12,719
Speaker 6: Yeah, jobs claims rose from two hundred and nine thousand

1873
01:32:12,760 --> 01:32:14,920
Speaker 6: to two hundred and thirty one. Some of that might

1874
01:32:15,000 --> 01:32:19,320
Speaker 6: be seasonal around the MLK holiday than a sudden deterioration,

1875
01:32:19,479 --> 01:32:21,240
Speaker 6: but I do think, you know, we did have this

1876
01:32:21,360 --> 01:32:23,799
Speaker 6: data that came out which is the Challenger Jobs cuts,

1877
01:32:23,920 --> 01:32:26,599
Speaker 6: and what that means is that a lot of these

1878
01:32:26,680 --> 01:32:30,439
Speaker 6: large companies have to announce cuts before they make them.

1879
01:32:30,439 --> 01:32:32,880
Speaker 6: If you have certain meat, certain criteria as far as

1880
01:32:32,920 --> 01:32:35,800
Speaker 6: the size of your company and the revenue that you have,

1881
01:32:35,920 --> 01:32:38,920
Speaker 6: you actually have to give a heads up, you know,

1882
01:32:39,000 --> 01:32:42,360
Speaker 6: from a public standpoint, about what you're planning to do.

1883
01:32:42,640 --> 01:32:46,200
Speaker 6: And so we saw those ers to over one hundred

1884
01:32:46,200 --> 01:32:48,280
Speaker 6: and eight thousand in January, so that was about a

1885
01:32:48,400 --> 01:32:51,920
Speaker 6: over one hundred percent increase year over year. Now a

1886
01:32:51,960 --> 01:32:54,360
Speaker 6: lot of that has to do with three of the

1887
01:32:54,400 --> 01:32:57,439
Speaker 6: major companies on the S and P five hundred, Ups

1888
01:32:57,479 --> 01:33:00,559
Speaker 6: which is about thirty thousand, Amazon about six, and now

1889
01:33:00,640 --> 01:33:03,360
Speaker 6: Chemical which is about four point five. So I think

1890
01:33:03,400 --> 01:33:06,000
Speaker 6: this is a little bit more concentrated as opposed to

1891
01:33:06,479 --> 01:33:08,920
Speaker 6: a more wide ranging issue when we move forward.

1892
01:33:09,120 --> 01:33:12,000
Speaker 1: Really interesting too, Okay, So yeah, job as a go to,

1893
01:33:13,040 --> 01:33:14,479
Speaker 1: I guess the thing is, I'm looking at the Dow

1894
01:33:14,520 --> 01:33:17,320
Speaker 1: when people always connected wrongly. So, but what's going on

1895
01:33:17,360 --> 01:33:19,120
Speaker 1: Wall Street and mainstream at the jobs? Okay, so it's

1896
01:33:19,120 --> 01:33:20,720
Speaker 1: hard to find Why is it so hard to find

1897
01:33:20,720 --> 01:33:21,080
Speaker 1: a job?

1898
01:33:21,960 --> 01:33:22,240
Speaker 2: Do you know?

1899
01:33:22,439 --> 01:33:23,760
Speaker 4: What I do know?

1900
01:33:23,960 --> 01:33:26,599
Speaker 6: And so what we're looking at now is there's still

1901
01:33:26,680 --> 01:33:30,280
Speaker 6: uncertainty out there manufacturing, even though we got a positive

1902
01:33:30,320 --> 01:33:33,640
Speaker 6: report from the Ism Services for the first time in

1903
01:33:33,680 --> 01:33:36,200
Speaker 6: a year. It's still wavering a little bit. And so

1904
01:33:37,200 --> 01:33:38,880
Speaker 6: a lot of times what you're looking at is from

1905
01:33:38,880 --> 01:33:40,719
Speaker 6: a corporate standpoint, when you go to the c suite

1906
01:33:40,760 --> 01:33:42,639
Speaker 6: and they're trying to make decisions as far as payroll

1907
01:33:42,760 --> 01:33:45,920
Speaker 6: is concerned, is that they're happy with the employers that

1908
01:33:45,960 --> 01:33:49,120
Speaker 6: they have. They're basically holding steady. We still don't have

1909
01:33:49,200 --> 01:33:51,920
Speaker 6: full clarity on the impact of tariffs. We still don't

1910
01:33:51,960 --> 01:33:55,920
Speaker 6: have deals done with China, Canada and Mexico, and so

1911
01:33:56,479 --> 01:33:59,680
Speaker 6: instead of hiring more to begin to ramp up for

1912
01:33:59,720 --> 01:34:02,599
Speaker 6: more production, a lot of companies are holding steady. Now

1913
01:34:02,800 --> 01:34:06,520
Speaker 6: that doesn't necessarily mean that they're making cuts. But if

1914
01:34:06,560 --> 01:34:08,400
Speaker 6: you have a job right now, it's like that you'll

1915
01:34:08,920 --> 01:34:10,680
Speaker 6: keep a job. But if you don't, it's going to

1916
01:34:10,720 --> 01:34:13,160
Speaker 6: be harder. And I did see a report from economists

1917
01:34:13,200 --> 01:34:16,519
Speaker 6: not too long ago, particularly college graduates are having a

1918
01:34:16,520 --> 01:34:19,000
Speaker 6: difficult time to find a job. And so you know,

1919
01:34:19,000 --> 01:34:21,920
Speaker 6: when I'm explaining what's going on from a corporate standpoint,

1920
01:34:21,960 --> 01:34:24,360
Speaker 6: this is more about white collar jobs and it is

1921
01:34:24,360 --> 01:34:27,240
Speaker 6: about blue collar jobs. They're hard to find. What companies

1922
01:34:27,280 --> 01:34:29,679
Speaker 6: are looking for, if they do hire, is usually somebody

1923
01:34:29,680 --> 01:34:34,200
Speaker 6: with experience that has specific, specific talents that are able

1924
01:34:34,240 --> 01:34:36,800
Speaker 6: to help them get you know, pass of certain goals

1925
01:34:36,840 --> 01:34:39,519
Speaker 6: that they have as opposed to training new people out

1926
01:34:39,520 --> 01:34:42,000
Speaker 6: of school. So it's really hard right now for college

1927
01:34:42,000 --> 01:34:44,840
Speaker 6: graduates that are coming out now. Blue collar jobs are available,

1928
01:34:45,280 --> 01:34:47,360
Speaker 6: so they're to be had, and I'm a big support

1929
01:34:47,400 --> 01:34:50,280
Speaker 6: of the trades. You know, it's particularly for young people.

1930
01:34:50,400 --> 01:34:54,080
Speaker 6: It's an easy and fast way to begin a career

1931
01:34:54,080 --> 01:34:56,400
Speaker 6: that can be very successful in rewarding, and you can

1932
01:34:56,400 --> 01:34:58,479
Speaker 6: make good money doing it. So it really just kind

1933
01:34:58,479 --> 01:35:00,599
Speaker 6: of depends on the industry that you're looking at. When

1934
01:35:00,640 --> 01:35:02,400
Speaker 6: people say it's hard to find a job, it just

1935
01:35:02,439 --> 01:35:03,760
Speaker 6: kind of depends on the demographic.

1936
01:35:03,880 --> 01:35:06,040
Speaker 1: I think schools are leading into it. Earlier the week

1937
01:35:06,080 --> 01:35:09,080
Speaker 1: I had on the present, Miami University talking about that

1938
01:35:09,120 --> 01:35:11,800
Speaker 1: new thirty one million dollar tech center that they have

1939
01:35:11,960 --> 01:35:15,600
Speaker 1: up there right advanced Manufacturing. They partner you know, they

1940
01:35:15,640 --> 01:35:19,360
Speaker 1: partner with Butler Tech. They partner with companies to basically

1941
01:35:19,400 --> 01:35:21,920
Speaker 1: create a workforce. And I think University of looking at

1942
01:35:21,920 --> 01:35:23,519
Speaker 1: this and going, hey, you know what, the old model,

1943
01:35:23,520 --> 01:35:26,280
Speaker 1: the way we taught for your degree, that's not working

1944
01:35:26,320 --> 01:35:28,080
Speaker 1: a lot of areas. We got to lean into this

1945
01:35:28,640 --> 01:35:31,000
Speaker 1: the workforce development thing, and we got to get people

1946
01:35:31,120 --> 01:35:32,480
Speaker 1: interested in manufacturing.

1947
01:35:32,520 --> 01:35:32,760
Speaker 6: Again.

1948
01:35:32,800 --> 01:35:35,000
Speaker 1: It's all high tech. It's not like the factories of old.

1949
01:35:35,040 --> 01:35:37,360
Speaker 1: For sure, the money are really good, but it's good

1950
01:35:37,400 --> 01:35:41,000
Speaker 1: to see the educational system, in particular Miami lean into

1951
01:35:41,040 --> 01:35:41,360
Speaker 1: this thing.

1952
01:35:41,720 --> 01:35:41,920
Speaker 2: Yeah.

1953
01:35:41,960 --> 01:35:45,120
Speaker 6: I actually heard that that was a great interview too.

1954
01:35:45,160 --> 01:35:46,600
Speaker 1: Well, thank you, I appreciate it.

1955
01:35:46,680 --> 01:35:49,680
Speaker 6: You're pretty good at your job. But yeah, that was

1956
01:35:49,760 --> 01:35:51,360
Speaker 6: that was awesome. And one of the things that I

1957
01:35:51,400 --> 01:35:54,679
Speaker 6: took away from that was he was talking about, you know,

1958
01:35:55,040 --> 01:35:57,280
Speaker 6: you can start a career there, and you can get

1959
01:35:57,320 --> 01:36:00,439
Speaker 6: high school students to get involved there as well and

1960
01:36:00,560 --> 01:36:02,200
Speaker 6: merge with a lot of the college students. They can

1961
01:36:02,240 --> 01:36:05,680
Speaker 6: earn credits, and furthermore, it's not you know, you're there

1962
01:36:05,720 --> 01:36:07,400
Speaker 6: for two years or you're there for four years, and

1963
01:36:07,400 --> 01:36:08,880
Speaker 6: then you move on to your career and they never

1964
01:36:08,880 --> 01:36:10,880
Speaker 6: see again. One of the things I found fascinating about

1965
01:36:10,880 --> 01:36:13,000
Speaker 6: your interview was that he's like, he said that, hey,

1966
01:36:13,000 --> 01:36:15,840
Speaker 6: you can keep coming back and continue to add credentials

1967
01:36:15,840 --> 01:36:18,479
Speaker 6: and continue to add skills and those type of things,

1968
01:36:18,479 --> 01:36:21,040
Speaker 6: and I thought that was neat. The other thing that

1969
01:36:21,040 --> 01:36:24,120
Speaker 6: stood out to me was when he was explaining about

1970
01:36:24,160 --> 01:36:27,320
Speaker 6: what work looks like in factories these days. And I

1971
01:36:27,360 --> 01:36:30,400
Speaker 6: have a client that was an executive at Schneider Electric

1972
01:36:30,520 --> 01:36:32,840
Speaker 6: down at Lexington, and I went down to visit his

1973
01:36:32,960 --> 01:36:35,080
Speaker 6: factory and had a meeting with them. When you go

1974
01:36:35,120 --> 01:36:38,120
Speaker 6: in some of these factories these days, they are spotless.

1975
01:36:38,320 --> 01:36:42,240
Speaker 6: I mean they're run very well. They take the very

1976
01:36:42,280 --> 01:36:46,680
Speaker 6: specific precautions about cleanliness and efficiency. I mean you have

1977
01:36:46,760 --> 01:36:49,600
Speaker 6: to you know, mask up and put boots on, you know,

1978
01:36:49,640 --> 01:36:53,000
Speaker 6: like slippers and clean Oh my gosh, it's amazing. And

1979
01:36:53,040 --> 01:36:56,120
Speaker 6: the efficiency and the technology that's involved with it. It's

1980
01:36:56,120 --> 01:36:58,080
Speaker 6: not like it was back in the thirties or forties,

1981
01:36:58,080 --> 01:37:01,240
Speaker 6: where you have Greece and the place and you know,

1982
01:37:01,280 --> 01:37:02,920
Speaker 6: and you're hammering and all that kind of we still

1983
01:37:02,920 --> 01:37:06,240
Speaker 6: battle that. Yeah, it's it's completely different. So, yeah, that

1984
01:37:06,280 --> 01:37:07,920
Speaker 6: interview was great. And then you know, it just goes

1985
01:37:07,960 --> 01:37:10,679
Speaker 6: to show you that people are not forgetting about the trades,

1986
01:37:10,720 --> 01:37:13,439
Speaker 6: particularly Miami University, and they put money into it, and

1987
01:37:13,439 --> 01:37:16,840
Speaker 6: that facility up there in Butler County is amazing. So

1988
01:37:16,960 --> 01:37:18,880
Speaker 6: I'm really looking forward to seeing how that all plays

1989
01:37:18,880 --> 01:37:20,439
Speaker 6: out up there, because I think that's pretty exciting.

1990
01:37:20,600 --> 01:37:21,920
Speaker 1: I mean, taking a little paper million you made a

1991
01:37:22,000 --> 01:37:24,000
Speaker 1: huge investment there, and I think it's gonna it's gonna

1992
01:37:24,040 --> 01:37:26,439
Speaker 1: pay dividends for the future of the workforce. So you know,

1993
01:37:26,479 --> 01:37:28,000
Speaker 1: there are jobs out there we just got to get.

1994
01:37:28,160 --> 01:37:30,200
Speaker 1: It's also the mind changes that we talked about too,

1995
01:37:30,320 --> 01:37:32,599
Speaker 1: is you know that the people, and largely it's influenced

1996
01:37:32,600 --> 01:37:34,639
Speaker 1: by mom and Dad and Graham and Grandpa, that it's

1997
01:37:34,439 --> 01:37:37,280
Speaker 1: a greasy, grimy job and you know you're gonna get

1998
01:37:37,360 --> 01:37:39,640
Speaker 1: hurt and your disability and it's like yeah, and then

1999
01:37:39,640 --> 01:37:42,040
Speaker 1: you walk into a place to go, wow, this is manufacturing. Yeah,

2000
01:37:42,320 --> 01:37:44,880
Speaker 1: it looks like a lab where they would make microchips.

2001
01:37:45,040 --> 01:37:47,880
Speaker 1: That's right, you know, and it's it's as safe as

2002
01:37:47,920 --> 01:37:50,600
Speaker 1: as possibly can be. You know, the robots and the

2003
01:37:50,720 --> 01:37:52,800
Speaker 1: like are doing the that that kind of dangerous work,

2004
01:37:52,800 --> 01:37:54,960
Speaker 1: and you kind of supervise. But I'm not saying it's

2005
01:37:55,000 --> 01:37:56,960
Speaker 1: it's you know, just watching machines run all day, not

2006
01:37:57,040 --> 01:38:00,719
Speaker 1: at all. It certainly involves a skill level, for sure,

2007
01:38:00,760 --> 01:38:03,320
Speaker 1: but you know to think that somehow it's it's degrading

2008
01:38:03,360 --> 01:38:05,240
Speaker 1: work and you walk into go wow, so are you

2009
01:38:05,320 --> 01:38:08,880
Speaker 1: like an engineer? It feels like it right, it's advanced podcast.

2010
01:38:09,120 --> 01:38:11,400
Speaker 6: Well that's really the titles of a lot of those workers.

2011
01:38:11,439 --> 01:38:13,760
Speaker 6: You know, I was I was walking around freely, and

2012
01:38:13,880 --> 01:38:16,840
Speaker 6: they have some very specific skills to be able to

2013
01:38:16,920 --> 01:38:20,519
Speaker 6: run these machines. And these machines are you know, hundreds

2014
01:38:20,520 --> 01:38:23,639
Speaker 6: of tons, and it's just amazing to watch these workers

2015
01:38:23,760 --> 01:38:27,040
Speaker 6: and the delicate balance that they play of operating these

2016
01:38:27,080 --> 01:38:29,599
Speaker 6: machines and the efficiency and it's kind of a it's

2017
01:38:29,600 --> 01:38:31,479
Speaker 6: a calmer environment. You know, a lot of these workers

2018
01:38:31,520 --> 01:38:33,800
Speaker 6: that have their headphones on, they're interacting with each other.

2019
01:38:34,560 --> 01:38:37,080
Speaker 6: You can make a good wage at these places. So

2020
01:38:37,720 --> 01:38:40,680
Speaker 6: you know, I would encourage young people to consider, you know,

2021
01:38:41,240 --> 01:38:43,639
Speaker 6: you work in the trades and you know, in blue

2022
01:38:43,640 --> 01:38:47,080
Speaker 6: collar industries because it's not like it was fifty years ago.

2023
01:38:47,160 --> 01:38:47,839
Speaker 2: Yeah, exactly.

2024
01:38:47,920 --> 01:38:50,080
Speaker 1: So anyway that's going to make and Hamilton, I'm sure

2025
01:38:50,080 --> 01:38:52,240
Speaker 1: that's going to be replicated anywhere. Yeah, it's going to

2026
01:38:52,320 --> 01:38:55,000
Speaker 1: be really really good. So there are jobs there, it's

2027
01:38:55,040 --> 01:38:59,000
Speaker 1: just again look finding the ones that that most people

2028
01:38:59,040 --> 01:39:00,760
Speaker 1: turn their nose up at it. Why he would because

2029
01:39:00,760 --> 01:39:02,720
Speaker 1: that's a really really good, playing to paying job. So

2030
01:39:02,920 --> 01:39:05,000
Speaker 1: I'll say today snapshot, we talked about the market and

2031
01:39:05,080 --> 01:39:08,240
Speaker 1: the now hitting fifty thousand AI being a disruptor. Jobs

2032
01:39:08,280 --> 01:39:10,240
Speaker 1: where to find him and what's going on in the

2033
01:39:10,360 --> 01:39:12,639
Speaker 1: week between now when we next talk on Tuesday.

2034
01:39:13,120 --> 01:39:15,639
Speaker 6: Yeah, we have some data that I have my on obviously,

2035
01:39:15,680 --> 01:39:18,599
Speaker 6: the jobs report tomorrow, you know, that's that's a big one.

2036
01:39:18,640 --> 01:39:18,800
Speaker 4: You know.

2037
01:39:18,840 --> 01:39:21,559
Speaker 6: We're also going to get the CPI index, which is

2038
01:39:21,880 --> 01:39:24,519
Speaker 6: the Consumer Price index that is a measure of inflation.

2039
01:39:24,600 --> 01:39:27,120
Speaker 6: That's going to be on Friday. Thursday. We're going to

2040
01:39:27,160 --> 01:39:29,760
Speaker 6: get existing home sales. I think that, you know, I

2041
01:39:29,760 --> 01:39:34,280
Speaker 6: can continue to watch home sales, building permits, things like that,

2042
01:39:34,360 --> 01:39:36,040
Speaker 6: and I know you're interested in that too, Scott. And

2043
01:39:36,439 --> 01:39:39,160
Speaker 6: I think that as rates continue to come down, you know,

2044
01:39:39,240 --> 01:39:41,519
Speaker 6: this might loosen up the housing market quite a bit.

2045
01:39:42,240 --> 01:39:44,439
Speaker 6: You know, it's likely that we're going to see at

2046
01:39:44,520 --> 01:39:47,400
Speaker 6: least one cut this year, probably in June maybe two.

2047
01:39:47,479 --> 01:39:51,240
Speaker 6: But I think if we start to get mortgage rates

2048
01:39:51,280 --> 01:39:54,639
Speaker 6: into the fives, I think that will really shake things loose,

2049
01:39:54,720 --> 01:39:57,200
Speaker 6: to encourage people to start moving around a little bit.

2050
01:39:57,320 --> 01:40:00,040
Speaker 6: So as the year progresses, you know, I think that

2051
01:40:00,080 --> 01:40:02,280
Speaker 6: will happen. And we're going to get those numbers on Thursday,

2052
01:40:02,320 --> 01:40:05,320
Speaker 6: So I'm interested in that as well. Quick question, Yeah,

2053
01:40:05,360 --> 01:40:11,240
Speaker 6: where's gold today? Gold this morning is somewhere around six thousand.

2054
01:40:11,439 --> 01:40:14,960
Speaker 6: Let's see, it's at five seventy seven, so it's down

2055
01:40:15,080 --> 01:40:17,000
Speaker 6: quite a bit from its ties. You know when we

2056
01:40:17,080 --> 01:40:19,680
Speaker 6: talked about three weeks ago and you gave me the

2057
01:40:19,720 --> 01:40:21,720
Speaker 6: business because I wasn't a big fan of it, and

2058
01:40:21,720 --> 01:40:23,680
Speaker 6: then all of a sudden it went down about a

2059
01:40:23,720 --> 01:40:26,559
Speaker 6: thousand points. And I think gold is still high. I mean,

2060
01:40:26,560 --> 01:40:28,680
Speaker 6: there's a lot of value there. And the reason that

2061
01:40:28,720 --> 01:40:31,560
Speaker 6: it started to come back to reality was is, you know,

2062
01:40:31,600 --> 01:40:34,320
Speaker 6: there's some you know, more technical issues that are involved

2063
01:40:34,360 --> 01:40:36,920
Speaker 6: with it, with futures contracts and margin calls and things

2064
01:40:36,960 --> 01:40:40,439
Speaker 6: like that. But it's a steady hedge against inflation, and

2065
01:40:40,880 --> 01:40:44,120
Speaker 6: when you continue to see inflation come down, it becomes

2066
01:40:43,720 --> 01:40:47,280
Speaker 6: a less attractive area to put your money. You know,

2067
01:40:47,320 --> 01:40:49,680
Speaker 6: gold is fine. I don't have anything against it, but

2068
01:40:49,720 --> 01:40:51,680
Speaker 6: as a long term investment, I don't think that's your

2069
01:40:51,680 --> 01:40:52,200
Speaker 6: best option.

2070
01:40:52,520 --> 01:40:55,960
Speaker 1: Okay, so what about these gold medals. I'm an Olympian.

2071
01:40:55,960 --> 01:40:57,479
Speaker 1: I want to unload one of these gold medals? How

2072
01:40:57,520 --> 01:40:58,320
Speaker 1: much checking get?

2073
01:40:58,840 --> 01:41:00,880
Speaker 6: Well? I think, you know, and what I can tell

2074
01:41:01,040 --> 01:41:04,280
Speaker 6: I think the golden medals are about you know, six

2075
01:41:04,400 --> 01:41:07,400
Speaker 6: grams or something like that, and so you know, if

2076
01:41:07,439 --> 01:41:07,960
Speaker 6: you get.

2077
01:41:07,960 --> 01:41:09,000
Speaker 1: What's that an American.

2078
01:41:09,920 --> 01:41:13,800
Speaker 6: Yeah, you know, somebody mentioned kilogram the other day. I

2079
01:41:13,800 --> 01:41:16,320
Speaker 6: don't know if that's eight pounds or one hundred at

2080
01:41:16,320 --> 01:41:19,280
Speaker 6: one point, but I think you know, with a you know,

2081
01:41:19,360 --> 01:41:21,479
Speaker 6: six gram of gold, a mouse about a thousand bucks.

2082
01:41:21,520 --> 01:41:24,000
Speaker 6: And so if you if you win a silver medal,

2083
01:41:24,040 --> 01:41:26,720
Speaker 6: you're probably looking at you know, for the price of

2084
01:41:26,760 --> 01:41:29,599
Speaker 6: the medal, you're probably looking at somewhere around eighty dollars.

2085
01:41:30,240 --> 01:41:32,960
Speaker 6: Bronze medal, you're probably looking at something about six dollars.

2086
01:41:32,960 --> 01:41:35,000
Speaker 6: But that's not why these athletes are out there. It's

2087
01:41:35,120 --> 01:41:38,240
Speaker 6: they're not out there for you know, winning a medal

2088
01:41:38,280 --> 01:41:40,679
Speaker 6: and turning it in at a pawn shop. They're there

2089
01:41:40,720 --> 01:41:43,240
Speaker 6: for you know, the glory of their country and doing

2090
01:41:43,240 --> 01:41:46,960
Speaker 6: it for their families, and you know, for competition and achievement.

2091
01:41:47,080 --> 01:41:48,960
Speaker 6: And I'm a big fan of the Olympics, and I've

2092
01:41:49,000 --> 01:41:51,160
Speaker 6: been keeping up with it and I can expect I'll

2093
01:41:51,160 --> 01:41:52,320
Speaker 6: continue to watch throughout the weekend.

2094
01:41:52,360 --> 01:41:54,439
Speaker 1: Yeah, yeah, yeah, yeah, yeah, Okay, all the semantics and

2095
01:41:54,439 --> 01:41:56,640
Speaker 1: that it's a thousand bucks. A thousand bucks. It's like

2096
01:41:56,680 --> 01:42:00,200
Speaker 1: a carping. Yeah, because I'm thinking of unloading my old

2097
01:42:00,200 --> 01:42:01,800
Speaker 1: medals and maybe I'll just hold on them.

2098
01:42:01,800 --> 01:42:03,599
Speaker 6: I don't know. You know, I think if we gave

2099
01:42:03,640 --> 01:42:05,519
Speaker 6: you six months, you might be able to make the

2100
01:42:05,560 --> 01:42:06,160
Speaker 6: curling team.

2101
01:42:07,479 --> 01:42:10,600
Speaker 1: Listen, I might multiple you know, if farting were an

2102
01:42:10,640 --> 01:42:16,599
Speaker 1: Olympic sports schaeffer, I would be. I'd be the Michael Phelps. Anyway,

2103
01:42:16,960 --> 01:42:20,439
Speaker 1: He's Andy Schaeffer at all Worth Financial every Tuesday morning

2104
01:42:20,439 --> 01:42:22,680
Speaker 1: week chopping up with your money. And it was a

2105
01:42:22,720 --> 01:42:24,439
Speaker 1: good week. Let's let's make it two in a row.

2106
01:42:24,520 --> 01:42:25,240
Speaker 2: Andy, all the best.

2107
01:42:25,560 --> 01:42:27,680
Speaker 6: That sounds good, Scott.

2108
01:42:26,920 --> 01:42:28,599
Speaker 1: Hay care man, appreciate you so much. Let me get

2109
01:42:28,640 --> 01:42:31,080
Speaker 1: a news update in Willie is standing by afterwards here

2110
01:42:31,120 --> 01:42:33,840
Speaker 1: on the Big One. As we start to cross the

2111
01:42:34,000 --> 01:42:37,800
Speaker 1: fifty degree threshold today, where so we're close to it,

2112
01:42:37,840 --> 01:42:40,400
Speaker 1: some people are saying, like, hey, maybe forty eight forty

2113
01:42:40,479 --> 01:42:45,000
Speaker 1: nine catch marks is like fifty five. Hope she's right.

2114
01:42:45,120 --> 01:42:47,360
Speaker 1: Meant a little of the snow out. I just hope.

2115
01:42:47,800 --> 01:42:51,000
Speaker 1: I just hope your basement stays dry. That's all Sloany.

2116
01:42:51,240 --> 01:42:55,120
Speaker 1: Home of the Reds Pitchers and catchers reporting yesterday there

2117
01:42:55,200 --> 01:42:57,839
Speaker 1: at Goodyear seven hundred WWT, Cincinnati,