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Speaker 1: I don't want to be an American idiot.

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Speaker 2: Slowly here on seven hundred Wright Trump Hurricane Trump blowing?

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Speaker 2: Is Switzerland different? Davos is all upside down't know what

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Speaker 2: to bay. They're like, what do we make of this guy?

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Speaker 3: We don't know.

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Speaker 2: You got tariffs, you got Greenland, he got so much more.

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Speaker 2: The big question, of course, then is how this impacts us.

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Speaker 2: And a new study shows US tariffs anyway not good.

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Speaker 2: Dominic Misserendino on the show Retail techmedianexus dot COM's website, Dominic,

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Speaker 2: good morning, How are.

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Speaker 3: You doing well? How are you doing that?

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Speaker 2: I'm doing well. There's a lot going on. You got

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Speaker 2: Trump cutting off the head of the beast in Iran,

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Speaker 2: the straight of hor moves. Oil prices are going berserk.

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Speaker 2: And on the tariff front, auto tariffs, the auto industry

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Speaker 2: reporting thirty five billion in losses so far, with more

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Speaker 2: to come than I say, and so it's definitely hit

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Speaker 2: to the manufacturing industry as well. And on that is

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Speaker 2: our buddy, Dominic Miserindino and Dominic. Since this has been

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Speaker 2: going wrong, we've learned that exporters and that'd be the

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Speaker 2: guys over there, only pay for about four percent of

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Speaker 2: the tariffs. The rest is on the American consumer. We

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Speaker 2: heard the Supreme Court ruling and struck this down. Where's

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Speaker 2: it all going?

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Speaker 3: Well, first, thanks for the questions all that intro. You know,

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Speaker 3: one has to consider what is a tariff. And the

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Speaker 3: tariff is tax on the goods coming in the door.

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Speaker 3: It's not as if the other country is paying it

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Speaker 3: or the other person sending it over. It's the importer.

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Speaker 3: And if an importer is receiving this goods and going

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Speaker 3: to sell them on he's getting his t shirts in

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Speaker 3: for ten bucks or his coffee in, he's not likely

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Speaker 3: going to say I will just absorb that tax right

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Speaker 3: and enjoy it for the fun.

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Speaker 2: You can for a while. But it's not sustainable in

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Speaker 2: the long term.

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Speaker 4: Not at all.

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Speaker 3: And in certain cases, not only that, the margin just

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Speaker 3: isn't there. When you're buying your fifteen dollars for a

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Speaker 3: pound of coffee, at one point you just have to

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Speaker 3: pay the guy to pick the coffee, grow the beans.

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Speaker 3: It's not as if it's dock a dollar, and yet

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Speaker 3: magically it's fourteen dollars the profit. So when you do

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Speaker 3: have these tariffs, generally speaking, they're higher than the profit margin.

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Speaker 3: So if you're running a business and your job is

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Speaker 3: importing coffee beans and you have a tariff slapped on that,

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Speaker 3: you're going to raise the price. There's just no other choice.

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Speaker 2: Yeah, and you have to. And that's why inflation is

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Speaker 2: where it is. I mean, it's sticky. The I think

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Speaker 2: the Chairman of the Fed, Jerom Powell, said that they

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Speaker 2: expect things to maybe level off here and it's starting

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Speaker 2: to go down slightly slowly, but it's going to be

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Speaker 2: in long slog until we burn off some of this

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Speaker 2: tariff stuff. So on that when it comes to the

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Speaker 2: retail environment that we all have to participating as American consumers.

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Speaker 2: If you do a deep dive on this study that

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Speaker 2: came out that said ninety six cents of every dollar's

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Speaker 2: paid for paid by American consumers and the tariffs, I

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Speaker 2: guess you see trade volumes. The volume collapses, but the

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Speaker 2: price is stay high. So does that simply mean that

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Speaker 2: certain product categories have been discontinued or limited because of

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Speaker 2: the aras and we just like we dwindled the supply,

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Speaker 2: maybe not of quantity, but of choices. Does it eliminate choices?

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Speaker 3: Consumers still love choices, but it eliminates choices in terms

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Speaker 3: of demand. If you're going to go to Starbucks, you're

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Speaker 3: not necessarily going to buy that coffee where the beans

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Speaker 3: are so super rare. When it's forty five dollars a pound.

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Speaker 3: After a while, you're going to start chooting. You saw

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Speaker 3: this recently with the car manufacturers saying, you know, the

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Speaker 3: importing the luxury cars because the average consumer is going

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Speaker 3: to say, I don't want to spend that much. Once

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Speaker 3: that price goes up, the choice of luxuries starts getting

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Speaker 3: hit too.

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Speaker 2: Yeah, some of this stuff feels luxurious. I've seen some

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Speaker 2: of you. Well, our buddy John John from our Sisters

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Speaker 2: station in kiss Oo seven, I saw him yesterday and

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Speaker 2: he had a bag of the mushroom coffee. I've heard

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Speaker 2: about it and ever seen it live in the real

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Speaker 2: world before. And I said, ah, man, I'm coffee so

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Speaker 2: expensive right now? Is that a good alternative? He said, no,

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Speaker 2: it's like forty five bucks a bag for some mind.

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Speaker 2: What the I'm like, I guess there's still some first

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Speaker 2: roll of problems out there. Despite the economy.

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Speaker 3: Well, you know, people will still do it. And will

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Speaker 3: he do it every day? Will he do it every week?

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Speaker 2: It's kind of dumb. He probably will.

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Speaker 3: Well that's a different story, you know. Then that's an

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Speaker 3: intelligence issue going on and that. But there is a

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Speaker 3: truth to that. If there is somebody who has the

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Speaker 3: budget for such things, yes they are not impacted. If

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Speaker 3: you are a billionaire, you're not really worrying about the

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Speaker 3: type of coffee you're buying. The average guy covering the

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Speaker 3: average bills, he's worried and some of these paraffs. Keep

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Speaker 3: in mind, the premise normally is please get manufacturing back

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Speaker 3: to the United States.

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Speaker 2: So what categories do you see that are primed to

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Speaker 2: bring back here. I mean, there's some that are simply

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Speaker 2: not going to come right. We've got to acknowledge that.

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Speaker 3: And there's exactly that's one of many problems I think

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Speaker 3: that we're seeing is that Number one, is it the

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Speaker 3: direct motives? Number two, are we hitting products that we

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Speaker 3: can even bring back to the United States? Coffee, I

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Speaker 3: keep on quoting, because you can't bring that back. There's

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Speaker 3: just there's no back. There's no way to grow a

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Speaker 3: book feed. No, there's certain chemicals, there are certain manufacturing

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Speaker 3: I remember reading an article of people in West Virginia saying,

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Speaker 3: we don't want to have our grandkids work in the

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Speaker 3: mind that we did that, the different mindsets, sometimes you

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Speaker 3: don't want it back. And also keep in mind tariffs

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Speaker 3: smooth holey like, there's been historical precedent where people don't

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Speaker 3: really love tariffs. They don't work out so well historically speaking.

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Speaker 3: But it was a campaign promise, so now it's being

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Speaker 3: used for multiple motives. And when you don't know what

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Speaker 3: that motive is, it's very hard for the markets to readjust.

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Speaker 2: Which is why we see all this volatility, the green one,

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Speaker 2: everything else. We just don't know what's going to happen tomorrow,

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Speaker 2: and markets hate that. They like certainty, inconsistency, They hate

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Speaker 2: what's happening here relative to volatility. If you have a

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Speaker 2: product like Brazil any other countries with a fifty percent

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Speaker 2: plus teriff, right you kind of touched on a little bit,

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Speaker 2: But are there domestic alternatives or non tariff suppliers from

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Speaker 2: other countries? Are we starting to find.

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Speaker 3: That depends on the product. And the other minor issue

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Speaker 3: is depends also on the complexity of the product. You're

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Speaker 3: talking about supply chains and a very elaborate supply chain

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Speaker 3: system that has been created over years. So car manufacturer

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Speaker 3: and You've discussed that that takes years to build a

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Speaker 3: factory iPhones. You don't necessarily hear about new iPhone factories

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Speaker 3: being made in the US because it takes a good

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Speaker 3: degree your time. So with that in mind, it is

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Speaker 3: a mechanism that requires a good degree of time, and

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Speaker 3: people do want to be aligned to know why are

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Speaker 3: we doing this?

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Speaker 5: Potentially, yeah, what.

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Speaker 2: About something like clothing? For example? Is that I mean

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Speaker 2: we have cotton? Where are we able to manufacture clothing?

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Speaker 2: Take some of this stuff back?

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Speaker 3: All this in theory could be done because the other

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Speaker 3: question begs, we're used to going on Amazon buying a

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Speaker 3: shirt for five dollars? How are you going to possibly

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Speaker 3: do that in America with a fifteen to twenty dollars

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Speaker 3: hour minimum wage in most areas, it's not going to happen.

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Speaker 3: So the costs on the consumer. We're used to this

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Speaker 3: Amazon team world. Where does that go?

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Speaker 2: Well, some of us might say, go, well, you go

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Speaker 2: back to the old days. We made everything. It was

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Speaker 2: larger because of World War Two, Right, we're the only

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Speaker 2: giant left stand. We became a giant and everyone else,

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Speaker 2: you know, the European economy was in shambles because of

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Speaker 2: the war, Russia was not a player, India, China, and

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Speaker 2: they were all prehistoric colonies. But at that point a

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Speaker 2: lot of people haven't got anywhere near. So we've made

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Speaker 2: everything for the rest of the world because the infrastructure

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Speaker 2: was wiped out. So we got fat, happy and complacent

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Speaker 2: in the fifties, in a part of the sixties, and

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Speaker 2: then all of a sudden by the seventies, like the

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Speaker 2: Japanese came around with the auto industry. We started to

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Speaker 2: see that turn. So it's easy to unravel it and go, hey,

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Speaker 2: you know, we're gonna bring up the rest of the world.

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Speaker 2: We're gonna see prices drop resultless. But now we got

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Speaker 2: to the point where dependent on those foreign goods, you

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Speaker 2: can go one way, but you can't go back to

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Speaker 2: the way it was. You can't put the toothpaste back

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Speaker 2: in the tube and bring those jobs back here because

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Speaker 2: the cost of a T shirt would be like four

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Speaker 2: hundred dollars.

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Speaker 3: Well, the next question to me is do we want

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Speaker 3: that we had manufacturing here? Did we necessarily love having

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Speaker 3: factories all over? Right? We turned into a service towards

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Speaker 3: the economy yep, And you know, we turned into the

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Speaker 3: brains of the world. Developing stuff. If you look at

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Speaker 3: the top biggest companies Facebook, Twitter, you know, all social media,

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Speaker 3: our movie industry, we're not necessarily building U stuff. But

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Speaker 3: that said, we are the guys organizing and creating that service,

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Speaker 3: does that and want to change? Do we truly want

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Speaker 3: to have more coal factories or more this, or do

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Speaker 3: we enjoy ordering that stuff in the door? And yet

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Speaker 3: you know, having that privilege so to speak.

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Speaker 2: Yeah, I think that that's also reflect that's also reflected back.

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Speaker 2: Like kids, for example, used to be well, what do

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Speaker 2: you want to be? I want to be? Uh, I

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Speaker 2: don't know, I want to be an astronaut, right, don't

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Speaker 2: be a firefighter on being okay? And what kids want

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Speaker 2: to be influencers today?

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Speaker 3: Right?

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Speaker 2: Those are other service jobs? Did you agree? But largely

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Speaker 2: it was like and no one says, hey, you don't

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Speaker 2: I own to dig ditches from our life. Okay, it

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Speaker 2: just happens. But and we need those two to quote

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Speaker 2: Judge mails. But nonetheless, kids today want to be influencers.

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Speaker 2: I'm not quite sure you're that's a reflection of our

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Speaker 2: culture right now. We don't want to work harder, we

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Speaker 2: want arc smarter.

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Speaker 3: Yes, and that's what also is it change too. Where

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Speaker 3: we became the country that people are immigrating to educating

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Speaker 3: our population. Now we're having a brain drain of people

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Speaker 3: saying I'm not going to America, I'm not going to

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Speaker 3: trade to America, and that in turn does affect people

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Speaker 3: trying to learn or people trying to trade. If we're

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Speaker 3: running a business based on service, trade and the ability

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Speaker 3: to go country to country is vital to that.

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Speaker 2: It seems like a while back and it really wasn't,

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Speaker 2: but in this current climate, every every day feels like

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Speaker 2: a year that Trump said, hey, listen, we want Greenland,

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Speaker 2: and that kind of fizzled out. We then bomb the

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Speaker 2: hell out of Iran and I lost no sleep knowing that.

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Speaker 2: But the Iola was taken out and granted his son's

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Speaker 2: coming up. He may be injured. Who knows what's happening

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Speaker 2: in Iran. We need a strategy there because we're clearly

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Speaker 2: not getting help from our alleged allies. They don't want

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Speaker 2: any part of this whole thing. We're now talking about

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Speaker 2: taking over Cuba, and there's a lot of lip service,

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Speaker 2: of course, but overall, you know, you got to look

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Speaker 2: at the big picture. In America, we are still the

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Speaker 2: King of the mount It's going to take a while.

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Speaker 2: It could take a lot of effort to knock us

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Speaker 2: off of there because of our GDP and just what

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Speaker 2: we bring to the west of the world. So we've

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Speaker 2: got to keep this in perspective. But there's a real

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Speaker 2: danger here though, right and.

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Speaker 3: How it's a ripple effect and the more we demand things,

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Speaker 3: for example, Greenland, et cetera, you're having other countries they

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Speaker 3: can we trust America? Can we deal with America? Is

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Speaker 3: America the lead? How does America say, please don't invade Taiwan.

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Speaker 3: We're discussing this. But in addition trade One of the

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Speaker 3: most successful campaigns I think America did during was when

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Speaker 3: we World War Two. We gave about bubblegum as soldiers

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Speaker 3: and everyone tasted Wrigley in Hershey's and became a brand name.

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Speaker 3: It wasn't as if the product was better nor worse,

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Speaker 3: but the brand was there and everyone wanted to feel American.

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Speaker 3: What happens when that changes. You're seeing it now in Kentucky.

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Speaker 3: Whiskey is going down because people do not want that.

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Speaker 3: That has that ripple effect.

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Speaker 5: One interesting saber rattling effects.

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Speaker 2: The other yeah, yeah, kind of the inverse is true.

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Speaker 2: I guess you know, back the soldiers coming home from

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Speaker 2: World War Two, they brought like Italian pizza wasn't a

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Speaker 2: thing until they came back from overseas and Italian food

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Speaker 2: took off. I mean just a small example, but you

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Speaker 2: know works both ways. You your culture influences others. Coca

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Speaker 2: Cola took off globally for that that same reason.

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Speaker 3: And these products that take off Coca Cola, McDonald's, taco bell.

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Speaker 2: Spam is spam and a right, yeah.

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Speaker 3: Exactly, but are they necessarily the best product? Meaning are

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Speaker 3: you going to eat McDonald's coke and talk about and

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Speaker 3: become the healthiest human in the planet or are we

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Speaker 3: doing it because we want to feel good? And if

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Speaker 3: that feel good is gone or affected, maybe the feeling changes.

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Speaker 3: Maybe you have a negative feeling and you're seeing that

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Speaker 3: Kentucky whiskey that is down.

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Speaker 2: Yeah, it is. Well, start with Canada and elsewhere. So

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Speaker 2: the research in the study by the way, Dominic, miuz Erandino,

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Speaker 2: ninety six percent of tariff costs fall on US American consumers.

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Speaker 2: So ninety six cents of every dollar when it comes

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Speaker 2: to these tariffs are falling on the American Consumerly in

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Speaker 2: fourth CeNSE of that dollar, four percent are observed by

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Speaker 2: foreign exporters, and so we're seeing that two hundred billion

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Speaker 2: and customs revenue come back to us, and it's our

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Speaker 2: money to begin with, according to the study. Whether you

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Speaker 2: agree or disagree, I'll go with the research. And it

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Speaker 2: also shows its supply chains are sticky, so you know,

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Speaker 2: we'll just hey, we'll just switch supply. You can't really

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Speaker 2: do what's the real last timeline for first switch and suppliers.

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Speaker 2: I mean, you're in that business dominic. It's from I

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Speaker 2: understand it's damn near impossible.

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Speaker 3: It depends on what I know. Some situations are impossible.

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Speaker 3: I know a sunglasses manufacturer that wants the artisans who

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Speaker 3: are based in Italy, so she's like, I can't get

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Speaker 3: them to come over and magically teach those skills to

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Speaker 3: people here in America. That's not gonna work. Other cases, yes,

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Speaker 3: but we go back to that example of coffee. Yeah,

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Speaker 3: that is impossible. You cannot magically make coffee appear and

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Speaker 3: grow in places it can't grow. You're not going to

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Speaker 3: grow coffee in the Midwest, right, not going to happen.

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Speaker 3: So it does depend entirely on the product itself. But

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Speaker 3: the other challenge is one thing relates to the other.

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Speaker 3: So if you're building cars, you might have a factory

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Speaker 3: here where you still need to get the rubber in

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Speaker 3: without growing rubber trees in Ohio. You know, it's just

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Speaker 3: not going to happen.

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Speaker 2: Right, Yeah, And it's kind of a slow slog here,

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Speaker 2: and you hope, like at some point you see a payoff.

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Speaker 2: And of course we demand instant gratification here in the West.

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Speaker 2: That's another part of the problem too. You know when

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Speaker 2: the president on the trail says on day one, I'm

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Speaker 2: going to fix all the stuff, and here it is

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Speaker 2: a year later and it's not you know that that

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Speaker 2: just feeds that instant demand on demand side, whereas a

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Speaker 2: lot of the rest of the world, not all of it,

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Speaker 2: but they are more of a slow plu. I mean

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Speaker 2: you look at the Middle East, right though, China, everything else,

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Speaker 2: it's a long slow boils what it is. That's a

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Speaker 2: whole different mindset, and you know, our on demand society

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Speaker 2: here in America doesn't mesh up with that.

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Speaker 3: Well. Keep in mind, we have moved from a regional

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Speaker 3: economy to a global We are used to getting goods

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Speaker 3: that we really should not normally have gotten. If you're

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Speaker 3: sitting in Ohio, you're sitting in the Midwest, you're used

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Speaker 3: to getting product on TIMU in three minutes. But if

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Speaker 3: you think historically, that's not a norm that you would

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Speaker 3: just go online press a button. It was revolutionary when

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Speaker 3: we did this year's Robach catalog fifty years ago and

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Speaker 3: you could ship something over in weeks, and we moved

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Speaker 3: from that to an economy where we're getting it in

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Speaker 3: hours at times. It's a very elaborate system we've gotten

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Speaker 3: used to, and the challenge with that begs we're used

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Speaker 3: to it, what are we as American consumers willing to accept.

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Speaker 3: You know, I'm walking around. If you walk around one's

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Speaker 3: own home and you see simple things chemicals or cleaning products,

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Speaker 3: that is the global economy in which of those products

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Speaker 3: that you see in your home are not based in

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Speaker 3: the middle Not.

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Speaker 2: Many, not many. And we'll leave it at that. Dominic.

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Speaker 2: Miss Rendino's the CEO of Retail Tech Media and AXUS

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Speaker 2: Rtmnexus dot com. Uh following everything in the retail sector

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Speaker 2: relative to the terror SOMNA call the best. Thanks for

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Speaker 2: jumping on this morning.

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Speaker 5: Appreciate you amazing, Thank you so much.

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Speaker 2: Bottom line, the costs of everything today is way more

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Speaker 2: expensive and off the charts for a lot of people.

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Speaker 2: I saw this story too. I should have pointed out

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Speaker 2: that a record number of Americans are tapping into their

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Speaker 2: four oh one CA's early and we're carrying a huge

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Speaker 2: amount of credit card debt. At some point, it's got

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Speaker 2: to give. It's got to give h the latest on

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Speaker 2: the war efforts in Iran and what our move is,

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Speaker 2: what's our off ramp. We can't get help from the

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Speaker 2: rest of the Western world. What does this mean? And

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Speaker 2: where do we go from here? It's the big question.

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Speaker 2: We'll get into that afternoons on seven hundred w old

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Speaker 2: World Friday sign I'll tell you this has the potential

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Speaker 2: to be the best trial of all time, all time.

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Speaker 2: So Afroman who did the song, but he is involved

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Speaker 2: in the law. It's a buck wild story between Afroman

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Speaker 2: and an Adam County Sheriff's department, and the jury is

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Speaker 2: about to hear the kick. So back in one was

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Speaker 2: a twenty twenty two. They raid his home much more

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Speaker 2: like a compound. Let's say he's got RVs and cars,

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Speaker 2: and it's amazing how one hits song can't make it

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Speaker 2: that kind of money. But and it's just like you know,

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Speaker 2: Glenside looks like an ordinary type of Adams County farmhouse. Right,

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Speaker 2: So anyway, Afroman is at his house or I don't

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Speaker 2: even know he was there at the time, but there

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Speaker 2: was a suspicion of drug trafficking and kidnapping, and how

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Speaker 2: they came up with those charges beyond me. That's going

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Speaker 2: to come out in court. And so if you've remember

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Speaker 2: seeing the video of this, the entry, right, they have

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Speaker 2: like an m rapp They've got all their tactical gear

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Speaker 2: run and it's like a swat rate. They go in

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Speaker 2: the house and they find instead of finding drug trafficking

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Speaker 2: and a dungeon with kidnapped victims in there, they found

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Speaker 2: a vapepen, a roach, part of a joint, and five

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Speaker 2: thousand dollars cash in the house. And so obviously they

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Speaker 2: did not file charges, but they broke his gate down,

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Speaker 2: the kick in the door, they caused some property damage,

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Speaker 2: ripped some stuff down, and they eventually they were holding

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Speaker 2: on to it and seizing it. But because of the

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Speaker 2: public pressure and the outcry, they returned his five thousand

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Speaker 2: dollars minus four hundred dollars that they allegedly miscounted the money.

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Speaker 2: I thought I was bad at but I'm pretty good

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Speaker 2: accounting money, but math I'm bad at. So he has

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Speaker 2: had surveillance footage and he took that and turned it

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Speaker 2: into music videos and merch, including the song Lemon pomp Cake,

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Speaker 2: which is fantastic. And he was because a rather portly

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Speaker 2: deputy was in the kitchen with gun drawn and he

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Speaker 2: looked and did a second look at a would look

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Speaker 2: like a very delicious lemon pound cake that his mama

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Speaker 2: made was sitting there under glass. He did, who that

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Speaker 2: pundcake looks good. He's gotten like over three million views

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Speaker 2: on social and on YouTube with the video. But there's

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Speaker 2: seven deputies did the raid and detectives, and they sued

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Speaker 2: Afroman because they claimed he used their likenesses without permission

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Speaker 2: to fame them and cause emotional distress. Meanwhile, I mean,

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Speaker 2: you broke in new house under I guess false assumption

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Speaker 2: he got wrong. There was no apology offered for this

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Speaker 2: or and they delayed the restitution. They held out of

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Speaker 2: the money. So he's like, fine, I'm going to take

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Speaker 2: my home video and I'm going to turn it into

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Speaker 2: music music videos using you guys of the foils and

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Speaker 2: one of the deputies, a female, broke down in tears

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Speaker 2: yesterday in court because there was a suggestive music video

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Speaker 2: about her played for the jury. And then after the

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Speaker 2: isis was right before the trial started, he posted new

384
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Speaker 2: song on so I'm Sorry during the trial. Another one

385
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Speaker 2: making fun of Sergeant Randy Walters by name and his

386
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Speaker 2: defense is, look, if they hadn't wrongly raided my house

387
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Speaker 2: and did what they did, there would be no lawsuit involved.

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Speaker 2: But the best part about it, the ultimate fu is

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Speaker 2: that he is wearing he's in court, he's wearing this

390
00:21:25,640 --> 00:21:29,000
Speaker 2: American flag suit and he's got American flag glasses like

391
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Speaker 2: the lenses on the glasses of the American flag, and

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Speaker 2: the suit is an American flag. It's it's incredible. But

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Speaker 2: the best part is wearing that suit. He drops this

394
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Speaker 2: banger the day before the trial starts.

395
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Speaker 3: Mine.

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Speaker 6: I've seen the corruption of the Adam County cops. Still

397
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Speaker 6: in money's still in take when they make they traffic stops,

398
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Speaker 6: first they screw you, then they sue you play a

399
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Speaker 6: game man, dismiss your claims the proof Sondy inner, Ah

400
00:22:08,240 --> 00:22:13,400
Speaker 6: bro Man, We'll bring it to yeah. Ah bro Man

401
00:22:13,640 --> 00:22:19,199
Speaker 6: is gonna dude, Yeah, ah bro Man, he's gonna screw

402
00:22:20,000 --> 00:22:24,880
Speaker 6: yeah my proof Sony innern.

403
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Speaker 3: Myne eyes have seen in form.

404
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Speaker 2: This goes jobs for five minutes, by the way, and

405
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Speaker 2: it is such an earworm you're not gonna be able

406
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Speaker 2: to get it out of your head the rest of

407
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Speaker 2: the day. Trust me, I heard it once and I've

408
00:22:38,200 --> 00:22:42,399
Speaker 2: been singing it since I proved seven this morning.

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Speaker 6: Ah bro Man, we'll bring it to Yeah. Ah bro

410
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Speaker 6: Man is gone a dude, Yeah, ah bro Man, He's

411
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Speaker 6: gonna screw yeah my proof sony in.

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Speaker 2: I'm most always a pro law enforcement guy, Like it's

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Speaker 2: a tough job. I don't know how you do that.

414
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Speaker 2: I don't know how you see what you see. That'side

415
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Speaker 2: of humanity on a daily, hourly, minute by minute, second

416
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Speaker 2: by second basis, and have it not affect you personally, emotionally,

417
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Speaker 2: affect your relationships and how you live your It's a

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Speaker 2: and for the money you make and the danger you

419
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Speaker 2: put yourself in. Ak Larry Henderson, I have the ultimate

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Speaker 2: respect for law enforcem but there are times where clearly

421
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Speaker 2: they're in the wrong. And I think that's the problem today,

422
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Speaker 2: whether it's this or politics, is we either either if

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Speaker 2: you're for someone, you can't be critical of them, And

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Speaker 2: I think that's insane. I think that's where we got

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Speaker 2: to where we are today in society. No one admits

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Speaker 2: they're ever wrong. They just double down on the stupid

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Speaker 2: or they go, hey, you know what this I support

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Speaker 2: this person, but we got problems. I'll get to that

429
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Speaker 2: in a second with the president, But in this case,

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Speaker 2: I look at what data. Dam's kind of going, Okay,

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Speaker 2: you had a warrant, and you know how hard is

432
00:23:55,400 --> 00:23:57,960
Speaker 2: it to get a warrant. But he's trafficking drugs. He's

433
00:23:58,040 --> 00:24:01,280
Speaker 2: kidnapping people. And they go in and they found baked

434
00:24:01,320 --> 00:24:04,320
Speaker 2: goods and some money. I mean, you're allowed to have

435
00:24:04,359 --> 00:24:07,080
Speaker 2: a vap pen and a joint. He didn't have bundles

436
00:24:07,080 --> 00:24:09,600
Speaker 2: of weed laying around, you know, like he was traving in.

437
00:24:09,680 --> 00:24:11,280
Speaker 2: It was like a little bit of drug. He's a rapper,

438
00:24:11,320 --> 00:24:13,119
Speaker 2: for godsake. You don't think you're gonna find he's a

439
00:24:13,160 --> 00:24:14,920
Speaker 2: hip hop arts. You don't think you're gonna find some weed.

440
00:24:16,520 --> 00:24:18,400
Speaker 2: Hell you if you came and raided my house, you'd

441
00:24:18,440 --> 00:24:20,200
Speaker 2: find more. I don't know, I know about the five

442
00:24:20,200 --> 00:24:25,359
Speaker 2: thousand dollars, right, Like, if that's a crime. Now what

443
00:24:25,359 --> 00:24:30,040
Speaker 2: are we doing, let alone the kidnapping charge. But I

444
00:24:30,040 --> 00:24:32,440
Speaker 2: think it's interesting, you know that the lawsuit itself, because

445
00:24:32,480 --> 00:24:34,960
Speaker 2: the Adams kind of shafts are suing him, the individuals

446
00:24:35,000 --> 00:24:38,399
Speaker 2: for because they degraded him. It's like, well, you know,

447
00:24:38,480 --> 00:24:40,919
Speaker 2: first of all, you were acting in a public capacity,

448
00:24:41,000 --> 00:24:44,200
Speaker 2: so that opens up and makes it very, very difficult

449
00:24:44,240 --> 00:24:47,639
Speaker 2: to prove liable and slander. But it's his footage on

450
00:24:47,680 --> 00:24:50,560
Speaker 2: his property. He didn't hack a serve at the police department.

451
00:24:50,640 --> 00:24:53,680
Speaker 2: He used his own surveillance cameras that the officers saw

452
00:24:53,720 --> 00:24:56,320
Speaker 2: in there. And you're allowed to put cameras in your

453
00:24:56,359 --> 00:24:58,359
Speaker 2: own home, You're allowed to put cameras in the outside

454
00:24:58,359 --> 00:25:01,800
Speaker 2: of your home pointing to public spots. That's a pretty

455
00:25:01,880 --> 00:25:05,359
Speaker 2: significant distinction and ownership and consent. You don't need consent

456
00:25:05,440 --> 00:25:09,080
Speaker 2: for that. On top of that, no charges were ever filed,

457
00:25:09,080 --> 00:25:11,400
Speaker 2: so I think that undermines any claim that the raid

458
00:25:11,480 --> 00:25:15,240
Speaker 2: was justified and weakened. See, we were just doing our jobs,

459
00:25:15,320 --> 00:25:17,320
Speaker 2: narrative you were, because I mean, I don't think you

460
00:25:17,320 --> 00:25:21,199
Speaker 2: were the one individuals who pulled the warrant. Maybe you

461
00:25:21,240 --> 00:25:24,520
Speaker 2: got bad intel. And on top of that, courts for

462
00:25:24,560 --> 00:25:26,760
Speaker 2: a long time. And this is where the president comes

463
00:25:26,760 --> 00:25:29,240
Speaker 2: in with, you know, Jimmy Kimmel and others. Is, courts

464
00:25:29,280 --> 00:25:32,240
Speaker 2: are historically given wide latitude to political and social commentary,

465
00:25:32,800 --> 00:25:35,040
Speaker 2: and mocking a government official or in this case, a

466
00:25:35,119 --> 00:25:36,800
Speaker 2: raid on your home is about as clear case or

467
00:25:36,840 --> 00:25:40,200
Speaker 2: protected status as you can get. And they're acting in

468
00:25:40,280 --> 00:25:42,600
Speaker 2: official capacity. It's not like they were off duty doing stuff.

469
00:25:42,640 --> 00:25:45,520
Speaker 2: They'd be a little bit different. But deputies executing a

470
00:25:45,560 --> 00:25:49,040
Speaker 2: warrant aren't private citizens, so that lowers that expectation of

471
00:25:49,040 --> 00:25:51,879
Speaker 2: privacy even more. In a day and age where cops

472
00:25:51,960 --> 00:25:55,520
Speaker 2: rightly so have body cameras and dash cameras, and in

473
00:25:55,560 --> 00:25:58,080
Speaker 2: almost all, not all cases, but almost all of them

474
00:25:59,359 --> 00:26:03,160
Speaker 2: winds up exact honerating police officers. It helps the cameras

475
00:26:03,200 --> 00:26:05,760
Speaker 2: in the video helps comps more than it does the defendants.

476
00:26:06,560 --> 00:26:10,040
Speaker 2: In this case, it's not true. The opposite was true,

477
00:26:11,280 --> 00:26:13,680
Speaker 2: and he said he publicly created the content to raise

478
00:26:13,760 --> 00:26:16,280
Speaker 2: money to cover the damages they cause. That's how are

479
00:26:16,320 --> 00:26:17,440
Speaker 2: you going to beat that up in court with a

480
00:26:17,480 --> 00:26:21,720
Speaker 2: jury that's sympathetic. It's defensible. Now. Some of the suggestive content,

481
00:26:21,760 --> 00:26:25,040
Speaker 2: the sexually ones of deputy phelps the female that could

482
00:26:25,080 --> 00:26:31,280
Speaker 2: kind of hurt him with the suggestive innuendo, and maybe,

483
00:26:31,320 --> 00:26:33,480
Speaker 2: I don't know, the merchandise sales maybe undermine this too.

484
00:26:33,480 --> 00:26:35,119
Speaker 2: I suppose now I think of it because there's a

485
00:26:35,119 --> 00:26:37,560
Speaker 2: commercial component of this. But if you're using the merchandise

486
00:26:37,600 --> 00:26:41,240
Speaker 2: sales to as a as a crowdsourcing thing to fund

487
00:26:41,320 --> 00:26:44,080
Speaker 2: your defense, I think a jury look at that and

488
00:26:44,080 --> 00:26:47,160
Speaker 2: go that makes sense. I mean, it's an interesting case

489
00:26:47,800 --> 00:26:51,679
Speaker 2: using his own video surveillance to satirize that this this

490
00:26:51,800 --> 00:26:55,680
Speaker 2: box government raid, but it just makes the whole thing laughable.

491
00:26:55,720 --> 00:26:57,800
Speaker 2: I don't think jury sits that and sees the context

492
00:26:57,840 --> 00:26:59,680
Speaker 2: and how he's doing his tongue in chic. I don't

493
00:26:59,680 --> 00:27:01,280
Speaker 2: think you you know you're gonna throw the book at

494
00:27:01,280 --> 00:27:02,679
Speaker 2: this guy. I don't know how you could be sympathy

495
00:27:02,720 --> 00:27:05,600
Speaker 2: not sympathetic towards him. So it's kind of a weak case.

496
00:27:05,800 --> 00:27:08,640
Speaker 2: And you know what, quite honestly, this is another example

497
00:27:08,720 --> 00:27:12,840
Speaker 2: of well, you know, the Constitution and your consulship rights

498
00:27:12,840 --> 00:27:15,679
Speaker 2: and your own protection to your own home. The cops

499
00:27:15,720 --> 00:27:17,879
Speaker 2: get the warrant wrong and there's got to be a

500
00:27:17,920 --> 00:27:21,280
Speaker 2: remedy for that, and you pick the wrong guy's house

501
00:27:21,320 --> 00:27:21,600
Speaker 2: to rate.

502
00:27:21,680 --> 00:27:22,320
Speaker 3: I guess.

503
00:27:24,119 --> 00:27:27,920
Speaker 2: That does happen, that does happen, other stuff going on,

504
00:27:28,000 --> 00:27:29,760
Speaker 2: So we'll follow that because I think as just it's

505
00:27:29,880 --> 00:27:33,119
Speaker 2: it's hysterical and anything that's funny, I like funny. Funny

506
00:27:33,200 --> 00:27:38,080
Speaker 2: is good. Funny is good. All right, So we don't

507
00:27:38,080 --> 00:27:40,800
Speaker 2: know what to make of this center Republicans and the

508
00:27:40,880 --> 00:27:43,679
Speaker 2: Save America Act. I think most Americans agree, like, is

509
00:27:43,680 --> 00:27:45,440
Speaker 2: it really that big an ask to have an idea

510
00:27:45,480 --> 00:27:47,560
Speaker 2: when you go vote No? I mean we do it

511
00:27:47,560 --> 00:27:50,080
Speaker 2: in Ohio. It doesn't seem to be a high bardy jumpover.

512
00:27:51,840 --> 00:27:54,080
Speaker 2: The problem I have, I think is just the two side.

513
00:27:54,080 --> 00:27:56,000
Speaker 2: And you know the politics. I think we're shutting down

514
00:27:56,040 --> 00:27:58,600
Speaker 2: the government. You got TSA agents that aren't getting paid.

515
00:27:58,600 --> 00:28:01,960
Speaker 2: And if you've traveled recently, I don't know people have traveled.

516
00:28:02,960 --> 00:28:05,360
Speaker 2: We traveled, but just kind of beat this thing out.

517
00:28:05,480 --> 00:28:07,680
Speaker 2: We got lucky, but what a pain in the ass.

518
00:28:09,480 --> 00:28:11,239
Speaker 2: And I you know, the thing is people get mad

519
00:28:11,280 --> 00:28:14,800
Speaker 2: at tsagents and like they're making them do their jobs,

520
00:28:14,800 --> 00:28:17,359
Speaker 2: are basically forcing them to go to work without getting paid.

521
00:28:17,960 --> 00:28:19,960
Speaker 2: And now it's past the point of absurdity because this

522
00:28:20,040 --> 00:28:21,720
Speaker 2: is like the third time we've done this where the

523
00:28:21,720 --> 00:28:24,639
Speaker 2: ts agents don't get paid and you know, you have bills,

524
00:28:25,080 --> 00:28:26,760
Speaker 2: you have a car payment, you got a mortgage, you

525
00:28:26,840 --> 00:28:29,840
Speaker 2: got childcare, you got all these things, and if money's

526
00:28:29,880 --> 00:28:31,960
Speaker 2: not coming in, you can only live on that so long.

527
00:28:32,000 --> 00:28:34,000
Speaker 2: It's not like, you know, you're making billions of dollars

528
00:28:34,040 --> 00:28:36,720
Speaker 2: being a TSA agent and now you have to go

529
00:28:36,760 --> 00:28:39,600
Speaker 2: to work and you're losing money on the deal. You know,

530
00:28:39,640 --> 00:28:42,000
Speaker 2: the propriety and fairness here is just it's it's a

531
00:28:42,080 --> 00:28:46,840
Speaker 2: terrible look. It's a terrible look. And so getting the

532
00:28:46,880 --> 00:28:49,000
Speaker 2: Save America Acting doesn't seem to be a high hurdle

533
00:28:49,040 --> 00:28:50,760
Speaker 2: to jump here in the sense that, you know, the

534
00:28:50,800 --> 00:28:54,040
Speaker 2: GFP insists that the debate allowed them to spotlight election

535
00:28:54,200 --> 00:28:57,400
Speaker 2: fraud and draw attention to Trump's proposed solutions to this.

536
00:28:57,520 --> 00:28:59,479
Speaker 2: But you know, this is the one side of that

537
00:28:59,480 --> 00:29:01,200
Speaker 2: that I don't like is the fact that Okay, I

538
00:29:01,200 --> 00:29:02,800
Speaker 2: think all of us a great well not all of us,

539
00:29:02,800 --> 00:29:05,239
Speaker 2: but go, okay, well, what's the big deal offer? Non

540
00:29:05,240 --> 00:29:06,800
Speaker 2: id We do it all the time. I don't have

541
00:29:06,840 --> 00:29:09,840
Speaker 2: a problem with that, I guess, And this really doesn't

542
00:29:09,880 --> 00:29:12,800
Speaker 2: changed things unless you start factoring how much is this

543
00:29:12,840 --> 00:29:14,840
Speaker 2: going to cost us? Does this cost anything to do this?

544
00:29:17,040 --> 00:29:18,800
Speaker 2: I'm sure there's some added costs in there. But my

545
00:29:18,880 --> 00:29:21,280
Speaker 2: point is, you know, we keep spending more money, we

546
00:29:21,320 --> 00:29:24,320
Speaker 2: don't have this. This is to add another layer to

547
00:29:24,360 --> 00:29:28,200
Speaker 2: that because quite honestly, the rates of election fraud are

548
00:29:28,240 --> 00:29:31,760
Speaker 2: extremely low. You know when the Heritage Foundation comes out

549
00:29:31,760 --> 00:29:34,280
Speaker 2: and they said there's a point zero zero zero zero

550
00:29:34,400 --> 00:29:38,880
Speaker 2: seven percent of elections have fraud in them. And that's

551
00:29:38,920 --> 00:29:41,320
Speaker 2: a conservative thing tank. I think we're doing pretty good.

552
00:29:41,800 --> 00:29:45,320
Speaker 2: Is this a Is this a solution in search of

553
00:29:45,320 --> 00:29:47,760
Speaker 2: a problem? In many ways it is. But the other

554
00:29:47,800 --> 00:29:51,200
Speaker 2: side of this thing are the Democratic lawmakers, as expected,

555
00:29:51,240 --> 00:29:53,680
Speaker 2: voting against it. So they continue to shut down TSA.

556
00:29:53,840 --> 00:29:57,280
Speaker 2: And you know, we hear about the the mass and

557
00:29:57,480 --> 00:30:00,600
Speaker 2: clamped down a mail in balloting scam. But in Ohio

558
00:30:00,680 --> 00:30:03,880
Speaker 2: that's not happening, Kentucky, that's not Indiana's not happening. I

559
00:30:03,920 --> 00:30:07,080
Speaker 2: can't vouch your other states. But then you address that

560
00:30:07,160 --> 00:30:10,760
Speaker 2: at the state level. But Democrats are talking about, once

561
00:30:10,800 --> 00:30:14,240
Speaker 2: again the tired argument about voter suppression. It's voter suppression,

562
00:30:15,560 --> 00:30:18,520
Speaker 2: said to Fritz Schumer, twenty million, maybe more twenty million

563
00:30:18,520 --> 00:30:20,240
Speaker 2: people be told when they show up to vote, you're

564
00:30:20,280 --> 00:30:26,280
Speaker 2: off the rolls. That's the problem. Is that really happening.

565
00:30:28,400 --> 00:30:29,680
Speaker 2: I don't think it is. I mean, if voting is

566
00:30:29,720 --> 00:30:32,239
Speaker 2: that important to you, you go out and you get

567
00:30:32,240 --> 00:30:33,760
Speaker 2: a state ID. You don't need a driver's life. You

568
00:30:33,800 --> 00:30:36,880
Speaker 2: just need a state ID. It's really not that big

569
00:30:36,920 --> 00:30:39,080
Speaker 2: an ass quite honestly, you need it in many states.

570
00:30:40,200 --> 00:30:42,320
Speaker 2: But twenty million people, I mean, come on, the other

571
00:30:42,360 --> 00:30:45,280
Speaker 2: thing is every time something like this happens, the cry

572
00:30:45,480 --> 00:30:50,680
Speaker 2: is voterse we're being suppressed. For God's sakes. Man, It's

573
00:30:50,760 --> 00:30:55,440
Speaker 2: easier to vote today than ever before. Just Ohio, loone.

574
00:30:55,560 --> 00:30:59,800
Speaker 2: You got thirty days. You can vote from your arm,

575
00:31:00,240 --> 00:31:02,160
Speaker 2: you can vote on your toilet, you can vote sitting

576
00:31:02,200 --> 00:31:05,400
Speaker 2: in your car, having your coffee, at the table, wherever

577
00:31:05,440 --> 00:31:11,800
Speaker 2: you want. It's not hard. One day of voting was

578
00:31:11,880 --> 00:31:14,600
Speaker 2: much much more difficult than the way it is today.

579
00:31:14,640 --> 00:31:17,200
Speaker 2: So the screen voter suppression, I need an idea. I mean,

580
00:31:17,720 --> 00:31:19,520
Speaker 2: you got to be engaged too. I mean, there's got

581
00:31:19,560 --> 00:31:22,480
Speaker 2: to be some responsibility on the part of the voter.

582
00:31:24,040 --> 00:31:25,640
Speaker 2: You know, you kind of have to know what day

583
00:31:25,640 --> 00:31:27,160
Speaker 2: it is. You kind of have to know what month

584
00:31:27,160 --> 00:31:28,840
Speaker 2: it is. You have to know what's on the ballot.

585
00:31:29,800 --> 00:31:31,520
Speaker 2: You know, do you want I guess if it's Shumer

586
00:31:31,560 --> 00:31:34,600
Speaker 2: do you want someone showing up to everyone's home or

587
00:31:34,640 --> 00:31:38,120
Speaker 2: apartment or condo or trailer or tent or whatever it

588
00:31:38,200 --> 00:31:42,320
Speaker 2: is and go, hey, here's your ballot. I'm sorry, there's

589
00:31:42,880 --> 00:31:46,360
Speaker 2: a threshold for a participation here in the threshold is

590
00:31:46,400 --> 00:31:52,480
Speaker 2: pretty easy to cross. And so this is getting debate

591
00:31:52,560 --> 00:31:54,360
Speaker 2: and concerns our race. I don't know where it's going

592
00:31:54,400 --> 00:31:56,560
Speaker 2: to go, but it just continues on and online. And

593
00:31:57,080 --> 00:32:00,760
Speaker 2: you know, I guess that I look at this thing,

594
00:32:00,760 --> 00:32:02,560
Speaker 2: and I think most people go, Okay, well, what's the

595
00:32:02,600 --> 00:32:05,600
Speaker 2: problem here? Ask him for he isn't really that big?

596
00:32:05,680 --> 00:32:05,840
Speaker 5: Is it?

597
00:32:05,880 --> 00:32:10,920
Speaker 2: Another? It's the falsehood of election fraud. Republicans love screaming

598
00:32:10,920 --> 00:32:14,600
Speaker 2: a by election fraud even though it rarely happens, extremely

599
00:32:14,680 --> 00:32:17,040
Speaker 2: rare that it happens. And when you ask, hey, war

600
00:32:17,120 --> 00:32:19,200
Speaker 2: is the proof? Well, we saw research that said, I

601
00:32:19,200 --> 00:32:21,400
Speaker 2: don't know your own think tanks are showing there none,

602
00:32:21,480 --> 00:32:25,040
Speaker 2: This isn't happening. And on that point, when Trump screams

603
00:32:25,080 --> 00:32:27,480
Speaker 2: about again, he goes back to twenty twenty being a

604
00:32:27,520 --> 00:32:29,959
Speaker 2: stolen election. So if that were true, this big consierrat

605
00:32:29,960 --> 00:32:32,600
Speaker 2: to prevent conspiracy to brandsh him from winning the election.

606
00:32:35,760 --> 00:32:37,120
Speaker 2: How did you get elected in the first place. How

607
00:32:37,160 --> 00:32:40,240
Speaker 2: do you get elected twice? It's only the fraud goes away.

608
00:32:40,280 --> 00:32:42,960
Speaker 2: There's this whole system in place for fraud. Okay, it's

609
00:32:42,960 --> 00:32:46,680
Speaker 2: all frauded. Well, if that were the case, a Republican

610
00:32:46,760 --> 00:32:49,280
Speaker 2: would never get elected, right, If it were that widespread,

611
00:32:49,320 --> 00:32:52,840
Speaker 2: that could change the course of an American election. I

612
00:32:52,920 --> 00:32:55,640
Speaker 2: don't understand. How do you win the first time? To

613
00:32:55,680 --> 00:32:57,840
Speaker 2: your to your surprise by the way you he was

614
00:32:57,840 --> 00:32:59,640
Speaker 2: a look on his face and it's like, oh, did

615
00:32:59,680 --> 00:33:01,920
Speaker 2: I just win? I didn't see that. It was a bit.

616
00:33:02,760 --> 00:33:04,960
Speaker 2: I was just goofing, I really do want this job.

617
00:33:06,040 --> 00:33:10,480
Speaker 2: On Inaugury or when the when the results came in,

618
00:33:10,760 --> 00:33:13,200
Speaker 2: he gave a speech. He looked like, holy crap, this

619
00:33:13,320 --> 00:33:17,920
Speaker 2: is for real kind of funny. And so four years

620
00:33:17,920 --> 00:33:20,080
Speaker 2: of that then it was like, okay, it's not working.

621
00:33:20,120 --> 00:33:21,920
Speaker 2: Like with Up, we'll try Biden for a while. That

622
00:33:22,320 --> 00:33:25,280
Speaker 2: was a disaster, and so we're back to Trump again.

623
00:33:25,360 --> 00:33:26,920
Speaker 2: So I don't know how you go back and they

624
00:33:27,000 --> 00:33:29,600
Speaker 2: well it's all rigged anyway. Is it only rigged when

625
00:33:29,640 --> 00:33:32,040
Speaker 2: you lose? Because quite know his personality is he just

626
00:33:32,080 --> 00:33:34,800
Speaker 2: can't take the l If he gets an l it's

627
00:33:34,800 --> 00:33:37,200
Speaker 2: somebody else's fault. If it's a dub, he takes credit.

628
00:33:37,560 --> 00:33:40,600
Speaker 2: That's how it works with him. So there's an election

629
00:33:40,680 --> 00:33:42,600
Speaker 2: fraud going on, and if it is, it's really, really,

630
00:33:42,640 --> 00:33:45,080
Speaker 2: really small. It's not changing the outcome of elections at all.

631
00:33:45,960 --> 00:33:50,920
Speaker 2: On the other side, screaming about how you're disenfranchised because

632
00:33:50,960 --> 00:33:52,719
Speaker 2: they make you show an ID, which we all have,

633
00:33:53,920 --> 00:33:56,760
Speaker 2: seems a very weak argument considering you got thirty days

634
00:33:56,800 --> 00:34:00,120
Speaker 2: to vote. It's very very easy to participate and our

635
00:34:00,160 --> 00:34:05,840
Speaker 2: electoral process. Asking for ID doesn't stop that. And if

636
00:34:05,880 --> 00:34:08,480
Speaker 2: you don't have an idea, it's pretty easy to get one.

637
00:34:09,560 --> 00:34:09,759
Speaker 3: You know.

638
00:34:09,800 --> 00:34:11,239
Speaker 2: You do kind of have to show up and do

639
00:34:11,280 --> 00:34:15,759
Speaker 2: stuff to participate in society, like complaining about high gas

640
00:34:15,800 --> 00:34:17,719
Speaker 2: prices when you don't have a car. I don't get it,

641
00:34:17,800 --> 00:34:20,239
Speaker 2: I really really don't. We'll get a news update here

642
00:34:20,239 --> 00:34:23,319
Speaker 2: in just minutes on seven hundred WLW. Not all this show,

643
00:34:23,400 --> 00:34:25,600
Speaker 2: certainly not all politics and the like, but we have

644
00:34:26,400 --> 00:34:30,360
Speaker 2: March Madison full effect. We have Miami playing tonight in

645
00:34:30,400 --> 00:34:34,000
Speaker 2: the play in game. And so it begins just sitting

646
00:34:34,160 --> 00:34:37,640
Speaker 2: mindlessly in front of your screen, your streaming device or

647
00:34:37,640 --> 00:34:40,000
Speaker 2: your TV, or maybe sitting in a bar for the

648
00:34:40,040 --> 00:34:43,840
Speaker 2: next four straight days just watching college basketball. It's a

649
00:34:43,880 --> 00:34:46,879
Speaker 2: glorious time to be alive, for sure. And so maybe

650
00:34:46,920 --> 00:34:48,560
Speaker 2: you're going to do this at home in your TV

651
00:34:48,680 --> 00:34:51,359
Speaker 2: might be a little janky. Maybe you're thinking about getting

652
00:34:51,400 --> 00:34:54,080
Speaker 2: a new one. Got a guy for I got a guy.

653
00:34:54,719 --> 00:34:57,400
Speaker 2: His name is Will Greenwald. He writes for PC magazine,

654
00:34:58,040 --> 00:35:00,719
Speaker 2: and he said, yeah, maybe you don't need an Maybe

655
00:35:00,719 --> 00:35:02,400
Speaker 2: you needed all those settings. Do you ever get in

656
00:35:02,480 --> 00:35:04,480
Speaker 2: your settings thing and the TV? I don't know how

657
00:35:04,520 --> 00:35:06,479
Speaker 2: many women square around with that, but you know, guys,

658
00:35:06,520 --> 00:35:09,799
Speaker 2: we're notorious for tinkering with stuff. And there's all these

659
00:35:09,880 --> 00:35:11,680
Speaker 2: crazy settings in your menu and you look at it

660
00:35:11,680 --> 00:35:13,520
Speaker 2: and go, I have no idea what any of this

661
00:35:13,560 --> 00:35:16,880
Speaker 2: stuff does. Well, you're not alone. You're not alone anyway.

662
00:35:16,920 --> 00:35:19,960
Speaker 2: He'll walk us through that and maybe maximizing that because

663
00:35:20,120 --> 00:35:22,040
Speaker 2: I think sports when you have a TV, and you know,

664
00:35:22,080 --> 00:35:24,120
Speaker 2: we're in the Arab big screen TVs maybe on your

665
00:35:24,120 --> 00:35:25,480
Speaker 2: phone not that big a deal, but if you got

666
00:35:25,480 --> 00:35:27,640
Speaker 2: a big one on your wall, you're like, man, you know,

667
00:35:27,719 --> 00:35:30,680
Speaker 2: the action looks a little jumpy. Do you ever see that?

668
00:35:30,760 --> 00:35:33,279
Speaker 2: Like football? Especially like the football looks like it's out

669
00:35:33,280 --> 00:35:36,200
Speaker 2: of focus, or there's two or three basketballs on the

670
00:35:36,239 --> 00:35:39,000
Speaker 2: screen and the guys that they're moving kind of sluggish.

671
00:35:39,400 --> 00:35:40,960
Speaker 2: There might be a way to fix that. Anyway, we'll

672
00:35:41,040 --> 00:35:42,960
Speaker 2: join the show next to discuss that coming up, maybe

673
00:35:43,000 --> 00:35:45,839
Speaker 2: saving a little bit of money and and extending your

674
00:35:45,960 --> 00:35:50,560
Speaker 2: enjoyment of total mindless relaxation in the form of college

675
00:35:50,600 --> 00:35:53,640
Speaker 2: basketball with March Madness. Scott Sloan Show continues here home

676
00:35:53,680 --> 00:35:55,880
Speaker 2: of the Red seven hundred WLW, Cincinnati.

677
00:35:56,120 --> 00:35:57,680
Speaker 1: Do you want to be an Amican?

678
00:35:59,000 --> 00:36:01,160
Speaker 3: You got so?

679
00:36:01,200 --> 00:36:02,200
Speaker 1: Do you need a new TV?

680
00:36:02,280 --> 00:36:03,759
Speaker 2: Of course you need a new TV. Everybody is a

681
00:36:03,800 --> 00:36:05,319
Speaker 2: new TV, just ball one. But I need a new

682
00:36:05,320 --> 00:36:08,200
Speaker 2: TV because I like stuff. I like gadgets. Maybe you don't.

683
00:36:08,239 --> 00:36:10,239
Speaker 2: Maybe you don't need a TV if you look at

684
00:36:10,280 --> 00:36:12,040
Speaker 2: the settings. You ever look at the settings on your TV?

685
00:36:12,320 --> 00:36:14,360
Speaker 2: You got game mode, you got motion smooth, and you

686
00:36:14,400 --> 00:36:17,319
Speaker 2: got noise reduction. How you think color temperature is a

687
00:36:17,360 --> 00:36:19,799
Speaker 2: setting on your wash or don't you? And you don't

688
00:36:19,800 --> 00:36:21,759
Speaker 2: even know what all those settings do. You don't have

689
00:36:21,800 --> 00:36:24,399
Speaker 2: a damn clue what any of that stuff does either

690
00:36:24,440 --> 00:36:27,120
Speaker 2: do what? And this is especially relevant today because we

691
00:36:27,200 --> 00:36:29,759
Speaker 2: begin March Madness. And so maybe your picture is a

692
00:36:29,760 --> 00:36:32,280
Speaker 2: little I don't know, it's jumpy, or it looks laggy,

693
00:36:32,400 --> 00:36:35,080
Speaker 2: or the ball looks really really really bad, looks square

694
00:36:35,239 --> 00:36:37,680
Speaker 2: or out of focus. I got a guy. I got

695
00:36:37,680 --> 00:36:39,279
Speaker 2: a guy for you. I got a guy. You need

696
00:36:39,320 --> 00:36:41,000
Speaker 2: a guy, I got a guy. It's gonna help you out.

697
00:36:41,160 --> 00:36:44,400
Speaker 2: He is the Home Theater Expert for PC magazine and

698
00:36:44,640 --> 00:36:49,279
Speaker 2: ISF certified TV Calibrator and a TXH their certified Home

699
00:36:49,320 --> 00:36:51,080
Speaker 2: Theater Technician. He's Will Greenwald.

700
00:36:51,280 --> 00:36:51,520
Speaker 3: Will.

701
00:36:51,560 --> 00:36:53,480
Speaker 2: That's a lot of titles on a small business card.

702
00:36:53,520 --> 00:36:53,880
Speaker 3: What's up?

703
00:36:54,840 --> 00:36:58,000
Speaker 5: Thanks you to be here. Yeah.

704
00:36:58,080 --> 00:36:58,279
Speaker 3: Yeah.

705
00:36:58,360 --> 00:37:00,759
Speaker 5: There are a lot of things if you can play

706
00:37:00,800 --> 00:37:02,080
Speaker 5: with with your TV, and a lot of things you

707
00:37:02,080 --> 00:37:05,200
Speaker 5: shouldn't touch. Generally, if you see a slider in your

708
00:37:05,480 --> 00:37:08,360
Speaker 5: TV's menu system, you shouldn't tweak it too much, but

709
00:37:08,480 --> 00:37:09,560
Speaker 5: there are a lot of things you can do with

710
00:37:09,719 --> 00:37:13,359
Speaker 5: just like a picture precess, your TV might start at

711
00:37:13,400 --> 00:37:16,440
Speaker 5: standard or vivid, and that's bad because they make it

712
00:37:16,480 --> 00:37:18,840
Speaker 5: look overly blue because that's what pops out most, but

713
00:37:18,880 --> 00:37:21,520
Speaker 5: it's inaccurate. If you just set your TV to movie

714
00:37:21,600 --> 00:37:24,480
Speaker 5: or cinema, that will generally get it too about as

715
00:37:24,520 --> 00:37:27,239
Speaker 5: accurate the colors will be without fully calibrating, and you

716
00:37:27,239 --> 00:37:30,799
Speaker 5: don't want to get into those weeds. So yeah, out

717
00:37:30,800 --> 00:37:32,680
Speaker 5: of the box, you can actually get pretty accurate colors

718
00:37:32,719 --> 00:37:34,879
Speaker 5: if you just notice which it's to. These settings will

719
00:37:34,960 --> 00:37:36,680
Speaker 5: look kind of warm to you at first, but that

720
00:37:36,800 --> 00:37:39,400
Speaker 5: is the accurate color for any movie or show you're watching.

721
00:37:39,520 --> 00:37:41,600
Speaker 2: Yeah, depending on the set, right, there's some things you

722
00:37:41,640 --> 00:37:44,320
Speaker 2: get in and by the way, before we begin, will

723
00:37:44,560 --> 00:37:47,439
Speaker 2: because I'm kind of dumb with this stuff. What don't

724
00:37:47,480 --> 00:37:49,080
Speaker 2: if I see some what don't I want to touch?

725
00:37:49,120 --> 00:37:53,000
Speaker 2: Tell me where the red button is the apple if you

726
00:37:53,080 --> 00:37:55,040
Speaker 2: will in the Bible, tell me where that is? So

727
00:37:55,120 --> 00:37:57,440
Speaker 2: I don't even look at it? What exactly? What do

728
00:37:57,520 --> 00:37:59,399
Speaker 2: you mean? There's things you don't touch? What is that?

729
00:38:00,719 --> 00:38:04,600
Speaker 5: If you see something like this might sound counter counterintuitive,

730
00:38:04,680 --> 00:38:07,839
Speaker 5: but if you see brightness, that usually doesn't actually change

731
00:38:07,840 --> 00:38:09,840
Speaker 5: how bright the TV is. That is actually the black

732
00:38:09,920 --> 00:38:13,360
Speaker 5: level how the TV measures darks. Gotcha contrast, It is

733
00:38:13,360 --> 00:38:16,280
Speaker 5: the same thing for light things and for color tint.

734
00:38:16,520 --> 00:38:18,600
Speaker 5: Don't touch that, you will completely throw off the color.

735
00:38:18,680 --> 00:38:20,920
Speaker 5: And if you want to get into anything more granular

736
00:38:20,960 --> 00:38:24,240
Speaker 5: than that, you kind of need training and sometimes fancy equipment.

737
00:38:24,719 --> 00:38:27,520
Speaker 5: So basically, just stick to the precess picture settings. Usually,

738
00:38:28,000 --> 00:38:30,160
Speaker 5: if there's a separate backlight setting to make it brighter.

739
00:38:30,320 --> 00:38:33,400
Speaker 5: That'll help. And if you can turn off the light sensor,

740
00:38:33,440 --> 00:38:35,839
Speaker 5: it might say adaptive brightness, turn that off, because that'll

741
00:38:35,840 --> 00:38:39,000
Speaker 5: make your TV look weirdly dim. But otherwise, try to

742
00:38:39,000 --> 00:38:41,120
Speaker 5: stay clear of anything that has like a number next

743
00:38:41,120 --> 00:38:41,439
Speaker 5: to it?

744
00:38:42,280 --> 00:38:44,080
Speaker 2: Gotcha? Or it's like are you sure you want to

745
00:38:44,120 --> 00:38:46,880
Speaker 2: do this? That's always the worry for me. It's like

746
00:38:47,000 --> 00:38:49,120
Speaker 2: you sure you want to do this? Like yeah, okay,

747
00:38:49,120 --> 00:38:50,960
Speaker 2: I'm gonna get out of this program. I probably don't

748
00:38:50,960 --> 00:38:52,319
Speaker 2: want a monkey with that too much? All right, good

749
00:38:52,320 --> 00:38:55,359
Speaker 2: good news. Don't don't touch the third rail. That's bad.

750
00:38:56,120 --> 00:38:58,880
Speaker 2: There's something called motion smoothing, and you kind of know

751
00:38:58,880 --> 00:39:00,239
Speaker 2: this when you watch sports. You know, we just watch

752
00:39:00,239 --> 00:39:02,920
Speaker 2: the super Bowl, We've got March Madness coming up. Can

753
00:39:02,960 --> 00:39:05,319
Speaker 2: you walk through why this? This is the feature that

754
00:39:05,600 --> 00:39:07,440
Speaker 2: you know tells me to turn it off for movies?

755
00:39:07,520 --> 00:39:09,600
Speaker 2: But what does this do for sports?

756
00:39:10,800 --> 00:39:12,560
Speaker 5: Well, if you've heard of in the Sofa opera fact,

757
00:39:12,600 --> 00:39:15,239
Speaker 5: it's that weird kind of too smooth view you get

758
00:39:15,239 --> 00:39:17,000
Speaker 5: when you're watching a show or a movie and the

759
00:39:17,040 --> 00:39:19,960
Speaker 5: motion movings on it just looks like they're moving weird.

760
00:39:20,640 --> 00:39:23,400
Speaker 5: You don't want it for that, but for sports What

761
00:39:23,480 --> 00:39:27,239
Speaker 5: it does is makes certain motion seem smoother and going

762
00:39:27,320 --> 00:39:30,000
Speaker 5: left and right rapidly, like on a court or a field,

763
00:39:30,400 --> 00:39:33,000
Speaker 5: that makes things jutter a lot. There's chopping us and

764
00:39:33,080 --> 00:39:36,600
Speaker 5: motion smoothing will reduce that and it just generally will

765
00:39:36,600 --> 00:39:39,520
Speaker 5: look better, specifically for sports, but anything else you do

766
00:39:39,600 --> 00:39:42,120
Speaker 5: want to disable it. It's usually called a true motion

767
00:39:42,440 --> 00:39:46,160
Speaker 5: or on my LGTV or you know, clear motion. Motion

768
00:39:46,280 --> 00:39:47,680
Speaker 5: is usually in the title, but it might be something

769
00:39:47,760 --> 00:39:48,319
Speaker 5: kind of more.

770
00:39:48,800 --> 00:39:49,000
Speaker 3: Yeah.

771
00:39:49,080 --> 00:39:51,319
Speaker 2: Okay, so you find that setting in you know, on

772
00:39:51,400 --> 00:39:53,440
Speaker 2: and off depending on what you're watching, but most people

773
00:39:53,480 --> 00:39:55,359
Speaker 2: just kind of turn their TV on and don't really

774
00:39:55,400 --> 00:39:59,279
Speaker 2: do anything. When you turn your TV on, your monitor on,

775
00:39:59,440 --> 00:40:01,760
Speaker 2: do you monk with the settings before watching a particular

776
00:40:01,800 --> 00:40:02,799
Speaker 2: show or do you have it all.

777
00:40:02,719 --> 00:40:06,040
Speaker 5: Programmed when it turned on. I make sure it's that's

778
00:40:06,040 --> 00:40:09,480
Speaker 5: two movie myself, because it does get really close and

779
00:40:09,560 --> 00:40:12,480
Speaker 5: for most things I watch, that's pretty much good. If

780
00:40:12,520 --> 00:40:14,960
Speaker 5: I am going to watch sports, I'm a huge on it.

781
00:40:15,040 --> 00:40:17,400
Speaker 5: But if I'm gonna that'll turn on motion smoothing. Otherwise

782
00:40:17,400 --> 00:40:19,239
Speaker 5: I'm just disable it and have it all do what

783
00:40:19,280 --> 00:40:22,160
Speaker 5: the source is doing, because that's usually best to my eyes.

784
00:40:22,400 --> 00:40:23,400
Speaker 7: Okay, you can change.

785
00:40:23,200 --> 00:40:24,719
Speaker 5: It to your taste, and even if you if your

786
00:40:24,760 --> 00:40:27,719
Speaker 5: TV has a sports setting, that will make things bluer.

787
00:40:27,440 --> 00:40:28,400
Speaker 3: Than it should be, but it.

788
00:40:29,920 --> 00:40:32,440
Speaker 5: Might look better to your eyes, and it will probably

789
00:40:32,440 --> 00:40:34,480
Speaker 5: turn over the motion smoothing so it'll get those settings

790
00:40:34,560 --> 00:40:35,000
Speaker 5: in a row.

791
00:40:35,200 --> 00:40:37,800
Speaker 2: Gotcha, gotcha? Which is important with you know, basketball and

792
00:40:37,840 --> 00:40:40,560
Speaker 2: the light coming up will There are times you're watching

793
00:40:40,560 --> 00:40:42,239
Speaker 2: a show where there's like a dark screen with what

794
00:40:42,440 --> 00:40:45,080
Speaker 2: and you'll see like splotches of I don't know of,

795
00:40:45,320 --> 00:40:47,640
Speaker 2: like white in there in a movie or something like that.

796
00:40:48,080 --> 00:40:50,040
Speaker 2: When it's really really dark. What is that? How do

797
00:40:50,080 --> 00:40:50,640
Speaker 2: I get rid of that?

798
00:40:51,960 --> 00:40:54,480
Speaker 5: It's called light bloom and it's unfortunately kind of a

799
00:40:54,760 --> 00:40:58,120
Speaker 5: reality to what a lot of TVs do because TVs

800
00:40:58,160 --> 00:41:00,720
Speaker 5: are not just one panel. There's a panel of liquid

801
00:41:00,719 --> 00:41:03,400
Speaker 5: crystal which makes the pictures the color, all the pixels,

802
00:41:03,880 --> 00:41:06,279
Speaker 5: but it doesn't emit life. So there is life behind it.

803
00:41:06,640 --> 00:41:08,319
Speaker 5: And it might be just a big flat light which

804
00:41:08,360 --> 00:41:09,919
Speaker 5: it doesn't get dark at all because it all needs

805
00:41:09,920 --> 00:41:11,400
Speaker 5: to be lit up, or there are a bunch of

806
00:41:11,480 --> 00:41:14,200
Speaker 5: little zones of lights which can dim and get bright.

807
00:41:14,520 --> 00:41:16,759
Speaker 5: But there aren't as many zones, not nearly as many

808
00:41:16,840 --> 00:41:20,239
Speaker 5: as there are pixels, so when an edge between black

809
00:41:20,280 --> 00:41:23,239
Speaker 5: and white lights up, there's going to be some haze.

810
00:41:23,680 --> 00:41:26,040
Speaker 5: You don't get this with an OLED TV, and it

811
00:41:26,080 --> 00:41:28,839
Speaker 5: is reduced with you get a high end mini LEDTV,

812
00:41:29,440 --> 00:41:31,640
Speaker 5: But otherwise it's kind of just a reality of having

813
00:41:32,239 --> 00:41:33,040
Speaker 5: an LEDTV.

814
00:41:33,239 --> 00:41:33,560
Speaker 2: Gotcha.

815
00:41:33,719 --> 00:41:36,000
Speaker 5: It gets really bright, but you're going to have the haze, yeah.

816
00:41:35,800 --> 00:41:37,560
Speaker 2: And there's no way to correct that. And unless you

817
00:41:37,560 --> 00:41:39,480
Speaker 2: get into a really really expensive model. Now, the more

818
00:41:39,520 --> 00:41:41,840
Speaker 2: money you have, the less that probably comes properly.

819
00:41:42,880 --> 00:41:45,400
Speaker 5: Right, Like I said, O LED will remove it completely

820
00:41:45,440 --> 00:41:48,680
Speaker 5: because that's a different technology and it looks really cool.

821
00:41:48,719 --> 00:41:50,520
Speaker 5: It doesn't get as bright, but it has no light

822
00:41:50,560 --> 00:41:53,400
Speaker 5: bloom at all because each pixel adjusts this brightness.

823
00:41:53,920 --> 00:41:55,719
Speaker 2: If you are a real cinophile like you, where do

824
00:41:55,719 --> 00:41:58,160
Speaker 2: you go with you? O? LED and LED many LED,

825
00:41:58,200 --> 00:42:00,239
Speaker 2: because there's countless ones out there, Which ones best?

826
00:42:02,200 --> 00:42:04,960
Speaker 5: I love OLED in general because its colors are usually

827
00:42:04,960 --> 00:42:07,720
Speaker 5: fantastic and its life control is great, and it doesn't

828
00:42:07,719 --> 00:42:09,880
Speaker 5: need to be super bright because modern like good O

829
00:42:10,080 --> 00:42:14,000
Speaker 5: leads are, they're bright enough to do HDR content, which

830
00:42:14,040 --> 00:42:17,800
Speaker 5: is that the fancier streaming content justice. So it's great

831
00:42:18,200 --> 00:42:20,279
Speaker 5: if you do with something really bright, though, if you

832
00:42:20,320 --> 00:42:22,000
Speaker 5: say you have a room that gets a lot of sun,

833
00:42:22,520 --> 00:42:25,920
Speaker 5: you might wuldn't get a mini LED that gets super

834
00:42:26,000 --> 00:42:29,040
Speaker 5: super brighter, And companies like high Sins and TCL are

835
00:42:29,040 --> 00:42:31,759
Speaker 5: making ones that just put out three four times as

836
00:42:31,800 --> 00:42:35,000
Speaker 5: much light as any old, and those are great too.

837
00:42:35,080 --> 00:42:36,759
Speaker 5: You got to deal with the light bloom, but they

838
00:42:36,800 --> 00:42:39,840
Speaker 5: have their own advantages, and it really depends on also

839
00:42:39,880 --> 00:42:42,360
Speaker 5: the size and budget because olds are usually much more expensive.

840
00:42:42,719 --> 00:42:45,520
Speaker 2: Will Greenwald is a PC magazine's home theater expert on

841
00:42:45,560 --> 00:42:48,680
Speaker 2: the show this Morning on seven hundred WLW. People spend

842
00:42:48,719 --> 00:42:50,840
Speaker 2: on average over eleven hundred dollars a new TV, but

843
00:42:50,920 --> 00:42:53,200
Speaker 2: they are professional level adjustments. This is the adjustice you

844
00:42:53,200 --> 00:42:55,359
Speaker 2: can make to your current TV for free, provided say

845
00:42:55,360 --> 00:42:58,719
Speaker 2: flat screens LED or O LED, because there's a lot

846
00:42:58,719 --> 00:43:01,120
Speaker 2: of things that you can tweak in there to get

847
00:43:01,160 --> 00:43:04,400
Speaker 2: what you want. We talked about brightness and color accuracy

848
00:43:04,440 --> 00:43:06,839
Speaker 2: is another one, like I have no idea, I'm looking

849
00:43:06,880 --> 00:43:09,600
Speaker 2: at blue. I think it's blue. You see probably an

850
00:43:09,760 --> 00:43:12,439
Speaker 2: entire palette. Because you're an expert in this thing. When

851
00:43:12,560 --> 00:43:14,319
Speaker 2: you start to get in the color settings, how do

852
00:43:14,400 --> 00:43:16,960
Speaker 2: I know if my TV's actually calibrated correctly or if

853
00:43:16,960 --> 00:43:17,640
Speaker 2: I'm just blind.

854
00:43:20,600 --> 00:43:24,600
Speaker 5: Again. All TVs are kind of they're calibrated to an extent,

855
00:43:24,680 --> 00:43:26,759
Speaker 5: like they are tuned to look a certain way out

856
00:43:26,800 --> 00:43:29,719
Speaker 5: of the factory, and you can go further, which if

857
00:43:29,719 --> 00:43:32,520
Speaker 5: you're getting like a super expensive high end like projector

858
00:43:32,719 --> 00:43:34,640
Speaker 5: system or one hundred inch TV, and I want to

859
00:43:34,640 --> 00:43:38,160
Speaker 5: get a professionally calibrated but otherwise, according to my test,

860
00:43:38,360 --> 00:43:43,000
Speaker 5: the cinema or movie or isf imax, they usually like

861
00:43:43,000 --> 00:43:45,879
Speaker 5: a fancy movie related to name, those picture modes get

862
00:43:46,960 --> 00:43:50,120
Speaker 5: admirably close to accurate, and you could tweak it further,

863
00:43:50,200 --> 00:43:51,960
Speaker 5: but at that point you don't really want to. It's

864
00:43:52,000 --> 00:43:53,719
Speaker 5: just set us to that mode. It's going to look

865
00:43:53,719 --> 00:43:55,440
Speaker 5: about as good as you can. I actually have a

866
00:43:55,480 --> 00:43:57,960
Speaker 5: list of all these different tips you can do that

867
00:43:58,040 --> 00:43:59,960
Speaker 5: will improve the look of your TV on PC meg.

868
00:44:00,040 --> 00:44:02,319
Speaker 5: If you search for TV tips, you'll see my name.

869
00:44:02,400 --> 00:44:04,239
Speaker 2: Yeah, Will greenwaald Oft PC mag. There you go. You

870
00:44:04,280 --> 00:44:07,040
Speaker 2: can check that out online. Love you guys. All right,

871
00:44:07,080 --> 00:44:10,200
Speaker 2: So we've talked about brightness and color acture. What about HDMI? Basically,

872
00:44:10,200 --> 00:44:11,919
Speaker 2: you know it's great, you plug it in, you get sound,

873
00:44:11,960 --> 00:44:13,719
Speaker 2: you get video. Is there anything I can do in

874
00:44:14,000 --> 00:44:16,600
Speaker 2: that chain to improve my picture? Or sound.

875
00:44:18,360 --> 00:44:21,880
Speaker 5: You can make sure you have a good HDMI certified cable.

876
00:44:22,320 --> 00:44:27,200
Speaker 5: There are a couple of different tiers and it sort

877
00:44:27,239 --> 00:44:29,200
Speaker 5: of starts at high speed and it gets like premium

878
00:44:29,239 --> 00:44:31,279
Speaker 5: high speed, and what you want to do is just

879
00:44:31,320 --> 00:44:34,840
Speaker 5: make sure it says generally, I think premium high speed

880
00:44:34,880 --> 00:44:37,840
Speaker 5: is what's going to be the best four k HDR content.

881
00:44:38,080 --> 00:44:40,520
Speaker 5: Maybe have like a cheaper older HDMI cable. You might

882
00:44:40,520 --> 00:44:44,080
Speaker 5: not be getting enough. You might not be sending as

883
00:44:44,160 --> 00:44:45,920
Speaker 5: much data through as it needs to. You want at

884
00:44:45,960 --> 00:44:49,839
Speaker 5: least eighteen GDPs, which we'll say on the package if

885
00:44:49,840 --> 00:44:52,359
Speaker 5: it is a legitimate cable, or if if you're buying

886
00:44:52,360 --> 00:44:54,600
Speaker 5: it from a legitimate source. And you can actually get

887
00:44:54,600 --> 00:44:57,000
Speaker 5: them pretty cheap, I recommend don't buy them in big

888
00:44:57,000 --> 00:44:59,680
Speaker 5: box stores. Order them online from a pan full of

889
00:44:59,719 --> 00:45:03,439
Speaker 5: different places. It doesn't need to be Amazon, but there

890
00:45:03,440 --> 00:45:06,400
Speaker 5: are you can get cheaper good HDMI cables online.

891
00:45:06,640 --> 00:45:06,839
Speaker 3: Yeah.

892
00:45:06,920 --> 00:45:08,480
Speaker 2: I think it's interesting too, because you know, you see

893
00:45:08,480 --> 00:45:11,839
Speaker 2: these cables that are three thousand dollars because they're you know, gold,

894
00:45:11,960 --> 00:45:14,120
Speaker 2: virgin gold and twenty four care gold, and I'm like,

895
00:45:14,160 --> 00:45:16,359
Speaker 2: do I really need that? Do I really need that?

896
00:45:16,560 --> 00:45:16,719
Speaker 3: Well?

897
00:45:16,760 --> 00:45:17,239
Speaker 2: Do I need it?

898
00:45:18,200 --> 00:45:22,160
Speaker 5: Absolutely not? Especially for HDDMI, because it's digital. It's only

899
00:45:22,200 --> 00:45:25,120
Speaker 5: a question of is the data going through? Audio files

900
00:45:25,120 --> 00:45:27,759
Speaker 5: can make that. They can argue till the end of

901
00:45:27,800 --> 00:45:31,759
Speaker 5: the day about headphone wires and speaker wires because those

902
00:45:31,760 --> 00:45:35,000
Speaker 5: are analog connections. But HDMI and pretty much anything going

903
00:45:35,000 --> 00:45:38,480
Speaker 5: into your TV it's digital, So gold or anything that's

904
00:45:38,520 --> 00:45:42,399
Speaker 5: going to undrty the signal or whatever. You know, your

905
00:45:42,560 --> 00:45:44,920
Speaker 5: typical blue shirt in the store is going to tell

906
00:45:44,920 --> 00:45:47,600
Speaker 5: you it's going to do. Doesn't matter to HDMI. What

907
00:45:47,680 --> 00:45:49,879
Speaker 5: matters is how much data is going through, and that's

908
00:45:49,880 --> 00:45:50,640
Speaker 5: going to be on the page.

909
00:45:50,719 --> 00:45:50,879
Speaker 3: Yeah.

910
00:45:50,920 --> 00:45:52,320
Speaker 2: Yeah, it's the size of the pipe that what the

911
00:45:52,320 --> 00:45:55,719
Speaker 2: initial pipe is made out of? Good information there. You're

912
00:45:55,760 --> 00:46:00,480
Speaker 2: an ISF certified TV calibrator and TXH certified Home theater technician.

913
00:46:00,480 --> 00:46:02,080
Speaker 2: You go into somebody's house, you look at their TV.

914
00:46:02,640 --> 00:46:05,080
Speaker 2: What is the most common problem you see that's completely

915
00:46:05,120 --> 00:46:08,560
Speaker 2: ruining their picture quality? And question two is the audio quality?

916
00:46:10,480 --> 00:46:14,000
Speaker 5: Picture quality? If it is set to standard or vivid,

917
00:46:14,160 --> 00:46:17,840
Speaker 5: that's just throwing everything off, got it. Sometimes the adaptive

918
00:46:17,920 --> 00:46:19,759
Speaker 5: rightness the white sensor might still be set all though

919
00:46:19,800 --> 00:46:21,400
Speaker 5: there might be some ECO settings that you want to

920
00:46:21,400 --> 00:46:24,000
Speaker 5: disable because that's going to dim the picture. Those are

921
00:46:24,000 --> 00:46:28,640
Speaker 5: the main things. Sometimes there also is the display oriented

922
00:46:28,719 --> 00:46:32,120
Speaker 5: the display perspective what's usually called zoom on a TV.

923
00:46:32,719 --> 00:46:34,160
Speaker 5: It might be off, so you're going to see some

924
00:46:34,200 --> 00:46:37,120
Speaker 5: of the pictures squished or clipped, and you want to

925
00:46:37,120 --> 00:46:41,760
Speaker 5: set that to just again or direct, just basically pixel

926
00:46:41,800 --> 00:46:43,960
Speaker 5: the pics on instead of trying to get it within

927
00:46:43,960 --> 00:46:45,640
Speaker 5: a weird shape, because that's what's going to make the

928
00:46:45,680 --> 00:46:47,840
Speaker 5: picture look weird in terms of perspective.

929
00:46:48,160 --> 00:46:48,560
Speaker 2: Gotcha.

930
00:46:48,640 --> 00:46:52,600
Speaker 5: Audio wise, you're only going to get so much down out.

931
00:46:52,480 --> 00:46:52,919
Speaker 3: Of your TV.

932
00:46:53,080 --> 00:46:57,279
Speaker 5: Typically, TV speakers usually aren't great higher end TVs they

933
00:46:57,280 --> 00:47:00,600
Speaker 5: do have, they can't have excellent speakers. Many of the

934
00:47:00,680 --> 00:47:03,799
Speaker 5: highest senses higher end TV is like the UAQG and

935
00:47:04,480 --> 00:47:07,360
Speaker 5: those higher end ones, the whole spatial audio speaker systems

936
00:47:07,360 --> 00:47:10,160
Speaker 5: built all through them, so like they build a wall

937
00:47:10,200 --> 00:47:11,919
Speaker 5: of sound around you. But most of them, you're probably

938
00:47:11,960 --> 00:47:13,880
Speaker 5: want to get a sound bar if you can, because

939
00:47:14,440 --> 00:47:16,200
Speaker 5: the soundbar and a subwarfare is going to really beef

940
00:47:16,280 --> 00:47:16,840
Speaker 5: up to that audio.

941
00:47:17,560 --> 00:47:20,040
Speaker 2: Yeah, I know, like Samsung gets really really high ratings

942
00:47:20,040 --> 00:47:22,840
Speaker 2: for that in TVs as well. If you're looking for

943
00:47:22,920 --> 00:47:25,480
Speaker 2: one particular brand now, now normally you go to your

944
00:47:25,560 --> 00:47:27,440
Speaker 2: you know, the place where the blue shirts are or

945
00:47:27,480 --> 00:47:29,920
Speaker 2: your big box retail or Costco is a great one.

946
00:47:30,560 --> 00:47:32,279
Speaker 2: And I'm like, okay, I think I need a new TV.

947
00:47:32,360 --> 00:47:33,920
Speaker 2: But before you do that and go, hey, maybe it's

948
00:47:33,960 --> 00:47:36,399
Speaker 2: the settings and I try that, So what are could

949
00:47:36,400 --> 00:47:37,960
Speaker 2: you tell me like a lot of the warning signs

950
00:47:37,960 --> 00:47:40,279
Speaker 2: that your TV may actually be failing versus just needed

951
00:47:40,280 --> 00:47:41,400
Speaker 2: better settings.

952
00:47:42,680 --> 00:47:47,600
Speaker 5: If it's seeming significantly there. TVs only have like a

953
00:47:47,600 --> 00:47:50,200
Speaker 5: certain amount of life. They can last a very long time,

954
00:47:50,200 --> 00:47:52,200
Speaker 5: but sometimes they can just start to die, and that

955
00:47:52,239 --> 00:47:54,640
Speaker 5: can usually happen in the back light, so that just

956
00:47:54,719 --> 00:47:57,799
Speaker 5: the life will start to fade, which is kind of

957
00:47:57,800 --> 00:48:00,880
Speaker 5: what happened on my last TV. Actually, a weird one

958
00:48:00,880 --> 00:48:03,520
Speaker 5: happened with my other kV that the color started to

959
00:48:03,520 --> 00:48:06,640
Speaker 5: get weird, that only blue started to get dim which

960
00:48:07,040 --> 00:48:09,279
Speaker 5: led to some very weird things that like I talked

961
00:48:09,320 --> 00:48:11,480
Speaker 5: to other experts in the field and there as confused

962
00:48:11,480 --> 00:48:13,960
Speaker 5: as I am about how that happened. But basically, if

963
00:48:13,960 --> 00:48:15,960
Speaker 5: the picture starts to look weird and you can't go

964
00:48:16,000 --> 00:48:18,799
Speaker 5: into the settings and you know, make it look right,

965
00:48:18,960 --> 00:48:20,799
Speaker 5: that might be assigned that the panel.

966
00:48:20,560 --> 00:48:21,640
Speaker 7: Is starting to age.

967
00:48:21,960 --> 00:48:25,439
Speaker 5: But hopefully it won't happen for at least like three,

968
00:48:25,520 --> 00:48:27,799
Speaker 5: four or five years. Ideally a TV should last at

969
00:48:27,840 --> 00:48:30,120
Speaker 5: least a decade. But I mean, who can help at

970
00:48:30,160 --> 00:48:30,560
Speaker 5: this point?

971
00:48:30,840 --> 00:48:32,880
Speaker 2: Yeah, because the technico chiefs come. Now you feel like

972
00:48:32,960 --> 00:48:35,960
Speaker 2: you need you know, three d's coming. I remember the glasses.

973
00:48:35,960 --> 00:48:37,239
Speaker 2: I had one of those. I don't think I ever

974
00:48:37,360 --> 00:48:39,879
Speaker 2: used it, but it came with the tyros, all right,

975
00:48:39,920 --> 00:48:42,279
Speaker 2: And there's always some new trend out there that's going

976
00:48:42,320 --> 00:48:43,960
Speaker 2: to want to get that. Then that's how market It's

977
00:48:44,040 --> 00:48:45,360
Speaker 2: largely marketing though, right.

978
00:48:47,560 --> 00:48:50,160
Speaker 5: Kind of there is a lot of I want see desperation,

979
00:48:50,239 --> 00:48:52,640
Speaker 5: but they want to find an angle to basically say,

980
00:48:53,239 --> 00:48:56,200
Speaker 5: you know, eight four K settled. HDR is pretty much settled,

981
00:48:56,200 --> 00:48:58,160
Speaker 5: So how do we get people to buy these new TVs?

982
00:48:58,160 --> 00:49:00,360
Speaker 5: And they try to find a new angle. Stuff is

983
00:49:00,440 --> 00:49:04,560
Speaker 5: very promising. There are these micro RGB or RGB l

984
00:49:04,719 --> 00:49:06,800
Speaker 5: ed TVs that are coming out that are really impressive

985
00:49:06,840 --> 00:49:10,000
Speaker 5: so far. They're very expensive, very big, but there's a

986
00:49:10,040 --> 00:49:13,120
Speaker 5: lot of promising technology there. But for things like three D,

987
00:49:13,920 --> 00:49:17,560
Speaker 5: no and HK. Any if you're worried at all about

988
00:49:17,560 --> 00:49:20,560
Speaker 5: TV is getting sharper and EIGHTK happening, I actually just

989
00:49:20,600 --> 00:49:23,279
Speaker 5: put up a story last week explaining why that is

990
00:49:23,320 --> 00:49:26,799
Speaker 5: not happening. LG just stopped making aktvs. That leaves only

991
00:49:26,840 --> 00:49:30,359
Speaker 5: Samsung and basically that is not a factor at all

992
00:49:30,840 --> 00:49:33,279
Speaker 5: in the foreseeable future. So don't worry about needing to

993
00:49:33,400 --> 00:49:35,960
Speaker 5: upgrade from four K to AK. That isn't happening as

994
00:49:35,960 --> 00:49:36,680
Speaker 5: far as I can see.

995
00:49:36,760 --> 00:49:39,799
Speaker 2: Yeah, the thaing is you need programming that's actually worked.

996
00:49:39,880 --> 00:49:43,600
Speaker 5: Yep, you know, not no programming. There's no format right right,

997
00:49:43,719 --> 00:49:45,640
Speaker 5: so like treating service or disc it.

998
00:49:46,200 --> 00:49:47,520
Speaker 2: Yeah, and by the time they roll it out, I

999
00:49:47,600 --> 00:49:49,600
Speaker 2: probably change with the standard as anyway, So maybe that

1000
00:49:49,680 --> 00:49:52,160
Speaker 2: TV is rendered obsolete before you even bought it.

1001
00:49:52,440 --> 00:49:52,600
Speaker 3: Good.

1002
00:49:52,640 --> 00:49:54,080
Speaker 2: But so if you're going to hold out and say,

1003
00:49:54,120 --> 00:49:55,600
Speaker 2: well I just got to known in the last couple

1004
00:49:55,600 --> 00:49:57,680
Speaker 2: of years, I can wait to go five six, what's

1005
00:49:57,719 --> 00:50:00,439
Speaker 2: the next thing on horizon, You're like, okay, let's let's

1006
00:50:00,440 --> 00:50:03,080
Speaker 2: wait for that. Is it what you're talking about with

1007
00:50:03,120 --> 00:50:05,319
Speaker 2: the RGB LEDs.

1008
00:50:06,000 --> 00:50:06,120
Speaker 3: Uh?

1009
00:50:06,200 --> 00:50:09,719
Speaker 5: Yeah, the RGB LEDs because you I said, there's an

1010
00:50:09,840 --> 00:50:14,560
Speaker 5: LGB panel and likes behind it. RGB TVs have red, green,

1011
00:50:14,600 --> 00:50:16,880
Speaker 5: and blue lights instead of just white or just blue

1012
00:50:16,920 --> 00:50:20,160
Speaker 5: that they're going into the weeds. But they can change

1013
00:50:20,440 --> 00:50:22,760
Speaker 5: just red or just green or just blue, getting brighter

1014
00:50:22,760 --> 00:50:25,880
Speaker 5: and dimmer to make the color go wider, not just

1015
00:50:25,920 --> 00:50:28,919
Speaker 5: to improve the contract. Gotcha, and the what I've seen

1016
00:50:28,920 --> 00:50:31,480
Speaker 5: so far in my initial test, I've only completely tested

1017
00:50:31,520 --> 00:50:33,600
Speaker 5: one TV, but I've taken a close look at several

1018
00:50:34,480 --> 00:50:36,520
Speaker 5: that is a lot of There's a lot of potential

1019
00:50:36,560 --> 00:50:39,480
Speaker 5: for much brighter, much much wider color ranges than what

1020
00:50:39,600 --> 00:50:41,160
Speaker 5: we can currently get with TVs.

1021
00:50:41,680 --> 00:50:44,319
Speaker 2: If you had unlimited money, will and maybe you have

1022
00:50:44,400 --> 00:50:46,319
Speaker 2: unlimited money, I don't know, you've you seem very very

1023
00:50:46,320 --> 00:50:49,840
Speaker 2: good at what you do. I do not if you

1024
00:50:49,880 --> 00:50:52,719
Speaker 2: have a limited in my semi stupid money, well, the

1025
00:50:53,120 --> 00:50:56,359
Speaker 2: best possible system, the best possible TV you can buy

1026
00:50:56,480 --> 00:50:59,040
Speaker 2: right now is what and how much does it cost?

1027
00:51:01,600 --> 00:51:03,799
Speaker 5: At this point, I would have to say either high

1028
00:51:03,840 --> 00:51:07,720
Speaker 5: Censer's latest RGB TV I think it is the current

1029
00:51:07,840 --> 00:51:12,280
Speaker 5: one sixteen UX or Samsung's Micro RGB TV. They're basically

1030
00:51:12,560 --> 00:51:15,280
Speaker 5: they're kind of very similar TVs. They make very similar

1031
00:51:15,280 --> 00:51:18,360
Speaker 5: claims that they can cover this extremely wide color space,

1032
00:51:18,440 --> 00:51:20,520
Speaker 5: and in my testing I believe it at this point,

1033
00:51:20,560 --> 00:51:23,239
Speaker 5: but they'll have to confrom it. But they're also like

1034
00:51:23,800 --> 00:51:26,560
Speaker 5: twenty to thirty grand and one hundred and sixteen to

1035
00:51:26,680 --> 00:51:29,000
Speaker 5: one hundred and fifteen hundred and sixteen inches, so we

1036
00:51:29,040 --> 00:51:30,360
Speaker 5: will get in my apartments.

1037
00:51:30,480 --> 00:51:34,160
Speaker 2: Damn yeah, one egs or a TV. You better like

1038
00:51:34,200 --> 00:51:35,960
Speaker 2: TV to be watching that, so you better be like

1039
00:51:35,960 --> 00:51:38,759
Speaker 2: a movie reviewer. So mister Rotten Tomatoes would have a

1040
00:51:38,760 --> 00:51:42,360
Speaker 2: TV that big or mister Bach Yeah, yeah, no kidding.

1041
00:51:42,400 --> 00:51:44,640
Speaker 5: So that's good sound system?

1042
00:51:45,000 --> 00:51:47,680
Speaker 2: Yeah you have to. You also have the turntable that

1043
00:51:47,719 --> 00:51:50,360
Speaker 2: needs its own room. The turntable it's its own house,

1044
00:51:50,400 --> 00:51:53,200
Speaker 2: that sound isolated. That's you're getting crazy about that stuff.

1045
00:51:53,719 --> 00:51:56,200
Speaker 2: Any more. Affordable category with TVs? Would you go with?

1046
00:51:56,680 --> 00:51:58,719
Speaker 2: Samsung comes up a lot, By the way, I think,

1047
00:51:58,960 --> 00:51:59,800
Speaker 2: are you big? Samsung?

1048
00:52:01,360 --> 00:52:04,200
Speaker 5: Samsin is very good engineering. I don't really like their

1049
00:52:04,280 --> 00:52:07,120
Speaker 5: smart TV menu interface. It's sort of my least favorite,

1050
00:52:07,200 --> 00:52:09,000
Speaker 5: but in terms of the hard way they make it

1051
00:52:09,080 --> 00:52:13,279
Speaker 5: is pretty fantastic. They're also usually pretty expensive. Companies like

1052
00:52:13,320 --> 00:52:15,920
Speaker 5: High Central TCL usually are sort of better bang for

1053
00:52:15,960 --> 00:52:16,359
Speaker 5: your buck.

1054
00:52:16,760 --> 00:52:17,719
Speaker 3: In terms of budget TV.

1055
00:52:17,760 --> 00:52:20,920
Speaker 5: It's specifically my favorite so far, at least for the

1056
00:52:20,960 --> 00:52:24,439
Speaker 5: year at the moment, is the U six QS High

1057
00:52:24,440 --> 00:52:27,520
Speaker 5: Senses budget TV. You can get around sixty five inches

1058
00:52:27,560 --> 00:52:30,360
Speaker 5: for maybe six hundred dollars and it gets.

1059
00:52:30,239 --> 00:52:31,200
Speaker 7: Quite right for that price.

1060
00:52:31,239 --> 00:52:33,400
Speaker 5: It's colors are excellent, and it's pretty full featured.

1061
00:52:33,719 --> 00:52:36,360
Speaker 2: It's unreal. I was looking at I don't know, I

1062
00:52:36,360 --> 00:52:38,919
Speaker 2: saw some old maybe it's a newspaper or something around

1063
00:52:38,920 --> 00:52:40,480
Speaker 2: there's an ad for TV and I was like, I

1064
00:52:40,480 --> 00:52:44,080
Speaker 2: don't know, nineteen seventy, late seventies, and wow, say here's

1065
00:52:44,120 --> 00:52:47,000
Speaker 2: a Stare twenty one inch color TV for like six

1066
00:52:47,120 --> 00:52:49,440
Speaker 2: hundred dollars. And I'm looking at us, going that was

1067
00:52:49,480 --> 00:52:53,000
Speaker 2: ninet seventy nine. I can get a one hundred inch

1068
00:52:53,080 --> 00:52:55,560
Speaker 2: TV for probably less than double that price.

1069
00:52:58,480 --> 00:53:00,520
Speaker 5: Yeah, probably, I mean maybe a little bit more, but

1070
00:53:00,560 --> 00:53:01,520
Speaker 5: like less than too grant.

1071
00:53:01,600 --> 00:53:03,360
Speaker 2: Yeah, I mean it's insane. How how the cost of

1072
00:53:03,360 --> 00:53:06,319
Speaker 2: electronics it's and that's why they're disposable now for that reason.

1073
00:53:06,400 --> 00:53:08,360
Speaker 2: You know, that was high tech twenty one inches and

1074
00:53:08,680 --> 00:53:10,640
Speaker 2: five six hundred dollars for TV, and now you can

1075
00:53:10,640 --> 00:53:13,000
Speaker 2: get a one hundred inch TV for fifteen hundred dollars

1076
00:53:13,080 --> 00:53:16,120
Speaker 2: whatever it is. It's amazing. And there's all these new

1077
00:53:16,120 --> 00:53:19,000
Speaker 2: brands out there, TCL and high Sense that people look at, go, well,

1078
00:53:19,040 --> 00:53:22,400
Speaker 2: that's not Sony or Samsung. I'm people get uncomfortable with that.

1079
00:53:22,440 --> 00:53:24,040
Speaker 2: Should you really care that much about the brand name?

1080
00:53:26,719 --> 00:53:29,799
Speaker 5: You can if you've never heard of it, maybe because

1081
00:53:29,840 --> 00:53:31,640
Speaker 5: obviously there are a lot of sort of store brands

1082
00:53:31,680 --> 00:53:33,640
Speaker 5: and like you know, little men, you might have never

1083
00:53:33,680 --> 00:53:35,120
Speaker 5: heard of it, and they might just be cases of

1084
00:53:35,200 --> 00:53:37,239
Speaker 5: drunk if they seem a lot cheaper than even High

1085
00:53:37,239 --> 00:53:41,160
Speaker 5: Centered TCL. Yes, but both High Center TV TCL have

1086
00:53:41,560 --> 00:53:45,680
Speaker 5: solidly established themselves as you know, pretty high quality, high

1087
00:53:45,760 --> 00:53:47,879
Speaker 5: value brands if you're looking to now spend a ton

1088
00:53:47,920 --> 00:53:50,200
Speaker 5: of money on a TV, if they have good performers,

1089
00:53:50,239 --> 00:53:52,239
Speaker 5: which is, you know, more than I can say for

1090
00:53:52,280 --> 00:53:54,480
Speaker 5: a lot of cheaper, no name brands that you know,

1091
00:53:54,480 --> 00:53:56,680
Speaker 5: if you get a you know, there's little ones that

1092
00:53:56,719 --> 00:53:59,680
Speaker 5: you might see on sale in the back of a store.

1093
00:54:00,360 --> 00:54:01,960
Speaker 5: Those ones might be joke, gotcha.

1094
00:54:02,040 --> 00:54:04,400
Speaker 2: He's Will Greenwall writing or a PC magazine. He's our

1095
00:54:04,400 --> 00:54:06,120
Speaker 2: home theater expert. Everything you need to know whether you

1096
00:54:06,200 --> 00:54:07,920
Speaker 2: need to buy that new TV or not, or just

1097
00:54:08,160 --> 00:54:11,440
Speaker 2: tinker with the settings inside. Some useful information there. This

1098
00:54:11,480 --> 00:54:13,080
Speaker 2: will be podcasting after the show. If you just catching

1099
00:54:13,160 --> 00:54:15,040
Speaker 2: like the end of it, go I missed it, Go

1100
00:54:15,120 --> 00:54:17,200
Speaker 2: to the iHeartRadio app and podcast. So well, all the

1101
00:54:17,200 --> 00:54:18,920
Speaker 2: best buddy. Thanks again, I appreciate.

1102
00:54:18,560 --> 00:54:20,719
Speaker 5: You, thanks for having me have a good day.

1103
00:54:20,760 --> 00:54:22,560
Speaker 2: I hope you got some useful information out of that.

1104
00:54:22,680 --> 00:54:25,120
Speaker 2: If I'm gonna keep your TV, maybe you can tweak

1105
00:54:25,120 --> 00:54:28,200
Speaker 2: some of those settings before Miami plays today March Madness,

1106
00:54:28,200 --> 00:54:30,200
Speaker 2: because that TV gonna get worn out this weekend for

1107
00:54:30,239 --> 00:54:32,880
Speaker 2: real Scott Slan Show with News in just minutes and

1108
00:54:33,040 --> 00:54:36,440
Speaker 2: Julie Balki stands by Julie on the job. Guess who's

1109
00:54:36,480 --> 00:54:40,760
Speaker 2: getting fired in big numbers? Jen Zers? Why she shares

1110
00:54:40,840 --> 00:54:43,120
Speaker 2: Julie on the job is next after news on seven

1111
00:54:43,200 --> 00:54:43,840
Speaker 2: hundred WI.

1112
00:54:43,880 --> 00:54:50,200
Speaker 8: Them helping you navigate the rocky path a fulfilling employee.

1113
00:54:51,600 --> 00:54:54,520
Speaker 8: Here's our career, sir, Julie Balki.

1114
00:54:54,800 --> 00:54:58,120
Speaker 2: Yeah, it is a rocky road. It's kiashi. So this

1115
00:54:58,200 --> 00:55:01,560
Speaker 2: is an interesting new trend. They got the diploma and

1116
00:55:01,600 --> 00:55:03,840
Speaker 2: then they get a job, and then they get the

1117
00:55:04,360 --> 00:55:07,839
Speaker 2: spink lip something like six and ten bosses now say

1118
00:55:07,840 --> 00:55:12,000
Speaker 2: they've already fired their gen z hires and someone hire

1119
00:55:12,080 --> 00:55:15,120
Speaker 2: new grads at all next year. Why is that, Julie Balki,

1120
00:55:15,160 --> 00:55:18,400
Speaker 2: our career shirp on the Scott Sloan Show. It's it's agism,

1121
00:55:18,440 --> 00:55:20,680
Speaker 2: is what it is, isn't it, Julie, Because old people

1122
00:55:21,040 --> 00:55:24,200
Speaker 2: don't like these young young bucks coming up. That's what

1123
00:55:24,239 --> 00:55:27,359
Speaker 2: it is all about. Agism.

1124
00:55:27,680 --> 00:55:28,279
Speaker 9: Yeah, that's it.

1125
00:55:29,200 --> 00:55:31,480
Speaker 7: So here's the thing, all right.

1126
00:55:31,560 --> 00:55:35,560
Speaker 9: So we talked last week about the unemployment rate of

1127
00:55:35,640 --> 00:55:39,000
Speaker 9: college grads being similar to the I mean gen Z

1128
00:55:39,160 --> 00:55:42,680
Speaker 9: college grads being very similar to the unemployment rate of

1129
00:55:42,760 --> 00:55:46,319
Speaker 9: gen Z without college degrees. And it's interesting when you

1130
00:55:46,640 --> 00:55:50,600
Speaker 9: really dig into that and say, Okay, what, why why?

1131
00:55:50,719 --> 00:55:52,920
Speaker 9: Like what are employers saying is the reason behind this?

1132
00:55:53,000 --> 00:55:56,280
Speaker 9: And there's some really interesting stats in this Fortune article,

1133
00:55:57,560 --> 00:56:04,960
Speaker 9: fifty leaders fight lack of motivation lack of initiative as

1134
00:56:05,000 --> 00:56:07,800
Speaker 9: the reason why things didn't work out with their new hire.

1135
00:56:08,800 --> 00:56:13,600
Speaker 9: Bosses also pointed to gen Z being unprofessional, unorganized, and

1136
00:56:13,640 --> 00:56:19,760
Speaker 9: having poor communication skills as their top reason late to work, late.

1137
00:56:19,560 --> 00:56:22,600
Speaker 7: To meetings, not wearing office appropriate.

1138
00:56:22,080 --> 00:56:27,799
Speaker 9: Clothing, and using language appropriate for the workspace. So you

1139
00:56:27,840 --> 00:56:29,719
Speaker 9: know this always when you read this, I mean, I

1140
00:56:29,760 --> 00:56:32,719
Speaker 9: can tell you why. I mean, I can tell you

1141
00:56:33,440 --> 00:56:37,799
Speaker 9: the collection of factors that have led to this, but

1142
00:56:37,920 --> 00:56:40,000
Speaker 9: then the question, and that's all you know. We can

1143
00:56:40,320 --> 00:56:42,600
Speaker 9: we can clutch our prolls and bring our hands over that.

1144
00:56:42,719 --> 00:56:46,919
Speaker 9: But what is it, Whose responsibility is it? Because this

1145
00:56:47,000 --> 00:56:49,759
Speaker 9: can't this can't continue. I mean, this can't. This is

1146
00:56:49,760 --> 00:56:52,719
Speaker 9: going to especially with AI coming on the scene to

1147
00:56:52,800 --> 00:56:56,960
Speaker 9: replace a lot of those more entry level jobs. This

1148
00:56:57,040 --> 00:56:59,440
Speaker 9: is this is a problem that's going to keep getting worse.

1149
00:56:59,480 --> 00:57:01,360
Speaker 7: So it's a more two prong problem.

1150
00:57:01,080 --> 00:57:04,000
Speaker 9: And so therefore it's likely a multi prom solution.

1151
00:57:04,080 --> 00:57:05,920
Speaker 2: All right, let's pump the brakes a little bit. What

1152
00:57:05,960 --> 00:57:08,319
Speaker 2: you just told me, Julie Balki. Is this a gen

1153
00:57:08,480 --> 00:57:12,279
Speaker 2: Z problem specifically or isn't this just what we go

1154
00:57:12,360 --> 00:57:15,000
Speaker 2: through with every new generation enter in the workforce. Is

1155
00:57:15,040 --> 00:57:16,000
Speaker 2: this that much different?

1156
00:57:17,280 --> 00:57:20,640
Speaker 9: It is that much different. You know, the gap even

1157
00:57:20,720 --> 00:57:23,640
Speaker 9: when you look at the gap between at if you

1158
00:57:23,680 --> 00:57:25,440
Speaker 9: take a look at and I know this is a

1159
00:57:25,440 --> 00:57:31,480
Speaker 9: broad generalization, but the generation's general attitude toward work. Take

1160
00:57:31,520 --> 00:57:34,080
Speaker 9: a look at Boomers, who are the oldest ones still

1161
00:57:34,080 --> 00:57:37,720
Speaker 9: in the job market and gen Z the youngest. That

1162
00:57:37,880 --> 00:57:42,920
Speaker 9: gap is it's it is a yawning canyon of a gap.

1163
00:57:43,240 --> 00:57:46,400
Speaker 9: Now when you look at then when you take the

1164
00:57:46,480 --> 00:57:52,360
Speaker 9: difference between boomers and millennials, which is the generation just

1165
00:57:52,560 --> 00:57:53,800
Speaker 9: older than gen Z.

1166
00:57:54,040 --> 00:57:57,720
Speaker 7: So even your thirty year olds twenty nine thirty.

1167
00:57:57,640 --> 00:58:02,120
Speaker 9: Year olds or millennials, that is much less of a gap.

1168
00:58:02,160 --> 00:58:05,680
Speaker 9: And even millennials are saying, because I've spoken to several,

1169
00:58:05,720 --> 00:58:08,400
Speaker 9: are saying, yeah, I don't I don't quite get this

1170
00:58:08,560 --> 00:58:12,240
Speaker 9: generation right behind me. So these aren't necessarily just old

1171
00:58:12,280 --> 00:58:15,640
Speaker 9: krusty boomers like you like me, and old krusty gen

1172
00:58:15,760 --> 00:58:19,880
Speaker 9: z like you saying that Gen X, it's really there

1173
00:58:19,960 --> 00:58:23,840
Speaker 9: is such a difference, and it's not just your typical

1174
00:58:24,200 --> 00:58:26,600
Speaker 9: young people are going to ruin the world. My generation

1175
00:58:26,760 --> 00:58:29,200
Speaker 9: was the last one that knew how to work. It's

1176
00:58:29,280 --> 00:58:32,640
Speaker 9: beyond that, Okay.

1177
00:58:32,680 --> 00:58:35,560
Speaker 2: I mean, I see what's going on, and you know,

1178
00:58:36,240 --> 00:58:39,160
Speaker 2: I also understand the lens that gen Z looks through

1179
00:58:39,200 --> 00:58:41,840
Speaker 2: things at and they live through some tough well maybe

1180
00:58:41,840 --> 00:58:45,040
Speaker 2: not so tough economic times, I suppose, but I think

1181
00:58:45,080 --> 00:58:47,320
Speaker 2: maybe they saw their parents work, saw that maybe their

1182
00:58:47,320 --> 00:58:51,520
Speaker 2: grandparents work hard. Now for examples, as a Gen xer,

1183
00:58:52,200 --> 00:58:56,040
Speaker 2: I look at boomers and I can't figure out, like, Okay,

1184
00:58:56,080 --> 00:58:57,880
Speaker 2: you guys want to work till you're eighty years old.

1185
00:58:58,560 --> 00:59:02,760
Speaker 2: There's a I think when a Trump's cabinet people, he's

1186
00:59:03,360 --> 00:59:05,880
Speaker 2: developed cancer and he's going to continue working until the

1187
00:59:05,920 --> 00:59:08,080
Speaker 2: day he falls over dead. Like I think younger people

1188
00:59:08,080 --> 00:59:11,360
Speaker 2: look at it go, well, okay, so your whole existence

1189
00:59:11,400 --> 00:59:13,320
Speaker 2: is just your job and your career. And that's always

1190
00:59:13,320 --> 00:59:15,160
Speaker 2: been a knock on moomers, right. They just won't let go,

1191
00:59:15,200 --> 00:59:17,480
Speaker 2: they won't turn the reins over. They and and this

1192
00:59:17,520 --> 00:59:20,280
Speaker 2: is why we see that problem in the workforce when

1193
00:59:20,320 --> 00:59:23,120
Speaker 2: they say things they think is appropriate that are inappropriate.

1194
00:59:23,160 --> 00:59:25,720
Speaker 2: It's because the bulk of the workforce is younger, and

1195
00:59:25,720 --> 00:59:27,720
Speaker 2: they have a different set of values and standards and

1196
00:59:27,760 --> 00:59:32,080
Speaker 2: morals and those those kind of things don't translate very

1197
00:59:32,080 --> 00:59:34,160
Speaker 2: well while you look out of touch. So I think

1198
00:59:34,200 --> 00:59:36,960
Speaker 2: it's a confluence of a living longer and younger generations

1199
00:59:37,000 --> 00:59:39,760
Speaker 2: coming in. I'm not discounting that their work ethic is

1200
00:59:39,760 --> 00:59:42,360
Speaker 2: not good. What I'm saying is in the context is

1201
00:59:42,680 --> 00:59:45,000
Speaker 2: look how they grew up, and what they see is like, Okay,

1202
00:59:45,040 --> 00:59:47,000
Speaker 2: you're just living to work that. I don't want to

1203
00:59:47,040 --> 00:59:49,600
Speaker 2: do that. That's why they travel. You know, they'll they'll

1204
00:59:49,600 --> 00:59:51,480
Speaker 2: do month long trips so they don't have any money,

1205
00:59:51,520 --> 00:59:53,040
Speaker 2: or they'll take their money. Go Okay, I'm taking a

1206
00:59:53,080 --> 00:59:55,320
Speaker 2: month off to go around Europe when I'm still young.

1207
00:59:55,720 --> 00:59:57,320
Speaker 2: It's just a different value proposition.

1208
00:59:58,560 --> 00:59:58,920
Speaker 1: It is.

1209
00:59:59,000 --> 01:00:02,080
Speaker 9: It absolutely is and the I was just having this

1210
01:00:02,120 --> 01:00:06,320
Speaker 9: conversation with someone yesterday who's spouse just retired, and he

1211
01:00:07,120 --> 01:00:10,960
Speaker 9: is really he's sixty five, and he's really flailing because

1212
01:00:10,960 --> 01:00:15,800
Speaker 9: he's looking to how do I reboot my identity. It's

1213
01:00:15,840 --> 01:00:19,400
Speaker 9: hard to go from being a hard charging, career focused,

1214
01:00:19,880 --> 01:00:23,640
Speaker 9: even moderately successful person to losing that. I mean, look

1215
01:00:23,680 --> 01:00:26,360
Speaker 9: at look at our congress people. Just as you said,

1216
01:00:27,760 --> 01:00:29,480
Speaker 9: it's funny, isn't it. I was just reading this thing

1217
01:00:29,480 --> 01:00:34,280
Speaker 9: that said, you know, we've got I see constantly people

1218
01:00:34,480 --> 01:00:39,080
Speaker 9: fifties and sixties complaining about agism and trying to get hired.

1219
01:00:39,160 --> 01:00:42,400
Speaker 9: And I absolutely know that it is true. Yet the

1220
01:00:42,440 --> 01:00:47,560
Speaker 9: people running these congress people seventies, eighties, nineties that are

1221
01:00:47,600 --> 01:00:51,920
Speaker 9: still running for reelection. And so it's this, it's it's

1222
01:00:52,160 --> 01:00:56,360
Speaker 9: it comes down to how however strong. The stronger you,

1223
01:00:56,680 --> 01:01:01,680
Speaker 9: the more strongly you identify with your career as you're

1224
01:01:01,760 --> 01:01:06,760
Speaker 9: shining beacon of your life, the harder it is for

1225
01:01:06,840 --> 01:01:11,200
Speaker 9: you to walk away and re establish an identity as

1226
01:01:11,200 --> 01:01:15,240
Speaker 9: something else, especially if there were perks that came with

1227
01:01:16,240 --> 01:01:18,320
Speaker 9: that identity, walking into.

1228
01:01:18,080 --> 01:01:19,640
Speaker 7: A restaurant in Washington, DC.

1229
01:01:20,000 --> 01:01:24,240
Speaker 9: Having people cater to you, having you know, I mean

1230
01:01:24,240 --> 01:01:27,720
Speaker 9: getting your phone calls returned immediately. It is a long

1231
01:01:28,200 --> 01:01:32,560
Speaker 9: fall from the top. And so some boomers are because

1232
01:01:32,800 --> 01:01:36,400
Speaker 9: the way we were raised was mostly focusing on career identity,

1233
01:01:36,760 --> 01:01:38,560
Speaker 9: it is harder for us to give it up. But

1234
01:01:38,600 --> 01:01:42,040
Speaker 9: there's also a piece of the boomer population that can't

1235
01:01:42,120 --> 01:01:45,120
Speaker 9: quit because of the financials. And so I understand, right,

1236
01:01:45,200 --> 01:01:46,440
Speaker 9: I don't want to downplay that.

1237
01:01:46,720 --> 01:01:49,600
Speaker 2: Yeah, yeah, I mentioned the value proposition and you you're

1238
01:01:49,640 --> 01:01:51,560
Speaker 2: not wrong. I'm not saying that. Well, you should just

1239
01:01:51,640 --> 01:01:54,160
Speaker 2: accept that's how gen z ers are. They have to do.

1240
01:01:54,240 --> 01:01:56,720
Speaker 2: The adaption here is because you are getting a paycheck

1241
01:01:56,840 --> 01:01:59,480
Speaker 2: for work, and what's considered work is showing up on

1242
01:01:59,560 --> 01:02:04,720
Speaker 2: time all the time, dressing appropriately, using suitable business place language,

1243
01:02:05,240 --> 01:02:09,320
Speaker 2: being organized, being proactive. All those things and more factor in.

1244
01:02:09,720 --> 01:02:12,480
Speaker 2: That's what's expecting the job. How did we then, as parents,

1245
01:02:12,480 --> 01:02:14,560
Speaker 2: because this is not the all of these damn kids now,

1246
01:02:14,560 --> 01:02:17,200
Speaker 2: it's damn parents who set that expectation by our so low.

1247
01:02:17,520 --> 01:02:19,000
Speaker 2: How do we f this up so much?

1248
01:02:20,840 --> 01:02:24,880
Speaker 9: Yeah, you can't. Everybody complaining it's like, well, well, who raised them?

1249
01:02:25,680 --> 01:02:26,200
Speaker 7: It was.

1250
01:02:26,520 --> 01:02:29,360
Speaker 9: It was a combination of things. It was certainly the

1251
01:02:29,640 --> 01:02:34,480
Speaker 9: participation trophy style of parenting. It was the massive helicopter

1252
01:02:35,200 --> 01:02:39,640
Speaker 9: parenting that our kids never It was the you have

1253
01:02:39,720 --> 01:02:42,440
Speaker 9: to get into the best school possible. So because that

1254
01:02:42,600 --> 01:02:45,720
Speaker 9: seeds my ego, so I'm not going to require you

1255
01:02:45,960 --> 01:02:49,280
Speaker 9: to work. You just keep taking ap classes. And so

1256
01:02:49,400 --> 01:02:53,920
Speaker 9: we shielded them from responsibility in the real world. If

1257
01:02:53,960 --> 01:02:57,840
Speaker 9: you work at Chipotle and you keep showing up late

1258
01:02:57,960 --> 01:03:00,720
Speaker 9: or dressing inappropriately, you aren't going to keep that job.

1259
01:03:01,400 --> 01:03:04,320
Speaker 9: And even if those things happened a lot of times

1260
01:03:04,320 --> 01:03:08,600
Speaker 9: with this generation, Mom marked straight into Chipotle and let

1261
01:03:08,680 --> 01:03:10,640
Speaker 9: them have a piece of their mind for letting her

1262
01:03:10,680 --> 01:03:15,600
Speaker 9: precious angel go. And it's I see remnants of this

1263
01:03:15,760 --> 01:03:20,200
Speaker 9: still today and it's so we are we It makes

1264
01:03:20,320 --> 01:03:23,680
Speaker 9: us feel good in the moment to move those barriers

1265
01:03:23,760 --> 01:03:26,360
Speaker 9: out of the way, but you are hurting your child

1266
01:03:26,480 --> 01:03:29,760
Speaker 9: long term because the world isn't going to think.

1267
01:03:29,600 --> 01:03:33,160
Speaker 7: They're so precious and special like you did.

1268
01:03:33,320 --> 01:03:34,640
Speaker 3: And so yeah, you know, I.

1269
01:03:35,280 --> 01:03:40,240
Speaker 9: Saw this video was this young woman showing different work loooks,

1270
01:03:40,320 --> 01:03:43,200
Speaker 9: like work appropriate looks for women in the corporate world,

1271
01:03:43,680 --> 01:03:47,240
Speaker 9: and I was watching it and I was horrified. I'm like, no, no,

1272
01:03:47,440 --> 01:03:50,960
Speaker 9: that's not appropriate. But I also recognized them, like, wait

1273
01:03:50,960 --> 01:03:53,200
Speaker 9: a minute, is this just my boomerness.

1274
01:03:53,400 --> 01:03:55,840
Speaker 7: YEA saying that's not appropriates.

1275
01:03:55,840 --> 01:03:58,000
Speaker 9: I had to kind of walk back and say, is it,

1276
01:03:58,440 --> 01:04:00,640
Speaker 9: And for the most part it wasn't. It was more

1277
01:04:00,680 --> 01:04:04,480
Speaker 9: about knowing the difference between showing up for a night

1278
01:04:04,520 --> 01:04:08,880
Speaker 9: with friends and showing up in a workplace where you

1279
01:04:09,040 --> 01:04:14,520
Speaker 9: are being assessed by first impressions are so important. I

1280
01:04:14,520 --> 01:04:16,520
Speaker 9: always try to do that check. But sometimes it's like, no,

1281
01:04:17,120 --> 01:04:21,880
Speaker 9: showing up on time is not for a meeting, is

1282
01:04:22,080 --> 01:04:27,080
Speaker 9: simply respect for other people's calendars, other people's times, and

1283
01:04:27,120 --> 01:04:30,000
Speaker 9: that is not going away. That is, we're never moving

1284
01:04:30,000 --> 01:04:32,919
Speaker 9: to a place where people show up anytime they want

1285
01:04:32,920 --> 01:04:36,480
Speaker 9: for a meeting between nine and ten. That's not happening.

1286
01:04:36,560 --> 01:04:40,240
Speaker 9: So there's certain things that remain true over time, and

1287
01:04:40,320 --> 01:04:44,080
Speaker 9: that's what we're not being taught or embraced or.

1288
01:04:45,800 --> 01:04:46,400
Speaker 7: And so yeah.

1289
01:04:46,480 --> 01:04:49,920
Speaker 9: So on the other hand, we've got just looking at

1290
01:04:49,960 --> 01:04:52,640
Speaker 9: a stat that said the number of people who are

1291
01:04:52,960 --> 01:04:55,480
Speaker 9: the number of people who are starting their own thing,

1292
01:04:56,160 --> 01:04:58,520
Speaker 9: who've opted out of the corporate America and or starting

1293
01:04:58,520 --> 01:05:01,800
Speaker 9: their own thing is going back to to two thousand

1294
01:05:01,800 --> 01:05:04,120
Speaker 9: and one, right after nine to eleven, two thousand and eight,

1295
01:05:04,160 --> 01:05:08,560
Speaker 9: twenty twenty. Numbers that were I can't get a job.

1296
01:05:08,960 --> 01:05:11,480
Speaker 9: So it's partially back then in those three times, it

1297
01:05:11,560 --> 01:05:14,880
Speaker 9: was I can't get a traditional job. Now those numbers

1298
01:05:14,920 --> 01:05:18,560
Speaker 9: are up again, but the reasons behind it are different.

1299
01:05:19,000 --> 01:05:21,520
Speaker 9: Oh yeah, I tried the corporate thing. It doesn't work

1300
01:05:21,560 --> 01:05:24,200
Speaker 9: for me, and I get it. Believe me, any of

1301
01:05:24,280 --> 01:05:27,800
Speaker 9: us have been in corporate. We get it. But now

1302
01:05:27,960 --> 01:05:30,880
Speaker 9: they have more options than they did before, true.

1303
01:05:30,720 --> 01:05:33,040
Speaker 2: To go out on their own. She's our career short.

1304
01:05:33,080 --> 01:05:37,040
Speaker 2: But Julie Bouki, who's an angry, angry old boomer woman

1305
01:05:37,080 --> 01:05:40,560
Speaker 2: who's just screaming at clouds this morning, it's it's awful.

1306
01:05:42,160 --> 01:05:45,080
Speaker 2: What's the single biggest gap you see when college? Well,

1307
01:05:45,200 --> 01:05:46,800
Speaker 2: let me back up a second. When when the boss

1308
01:05:46,920 --> 01:05:49,400
Speaker 2: is say, lack of initiative, what does that look like

1309
01:05:49,440 --> 01:05:52,120
Speaker 2: in the workplace? Does that mean it.

1310
01:05:52,200 --> 01:05:56,680
Speaker 9: Means sitting around and waiting to be told to do so?

1311
01:05:56,920 --> 01:06:01,840
Speaker 9: I have heard anecdotes after anecdote that said, as well,

1312
01:06:02,120 --> 01:06:05,600
Speaker 9: I left three because I was a dumman with everything

1313
01:06:05,640 --> 01:06:09,600
Speaker 9: that was on my desk. I finished the work you

1314
01:06:09,800 --> 01:06:14,160
Speaker 9: gave me, so why wouldn't I leave? And just that

1315
01:06:14,160 --> 01:06:16,360
Speaker 9: that just makes your head explode when you think about

1316
01:06:16,400 --> 01:06:20,080
Speaker 9: it versus saying how can I how can I show up?

1317
01:06:20,120 --> 01:06:21,760
Speaker 9: How can I do things that are going to make

1318
01:06:21,760 --> 01:06:25,920
Speaker 9: me stand out? And I loved this particular quote that

1319
01:06:26,240 --> 01:06:32,680
Speaker 9: I think is just so powerful about the importance of

1320
01:06:32,720 --> 01:06:36,200
Speaker 9: I'm trying to find it here. Some leaders have even

1321
01:06:36,240 --> 01:06:39,840
Speaker 9: insisted that it can do. Attitude at work will advance

1322
01:06:39,960 --> 01:06:43,960
Speaker 9: young workers' careers more than a college degree, and I

1323
01:06:44,000 --> 01:06:45,520
Speaker 9: absolutely agree with that.

1324
01:06:46,400 --> 01:06:49,120
Speaker 7: I think we've put so much.

1325
01:06:48,920 --> 01:06:52,880
Speaker 9: Emphasis on the paper, but we've all worked with people

1326
01:06:52,920 --> 01:06:56,080
Speaker 9: with really impressive paper who couldn't manage their way or

1327
01:06:56,120 --> 01:06:58,600
Speaker 9: work their way out of a paper bag. And so

1328
01:06:58,720 --> 01:07:01,840
Speaker 9: initiative attitude shall and up on time, willingness to learn,

1329
01:07:02,400 --> 01:07:06,720
Speaker 9: and some of those really basic things really are the things.

1330
01:07:06,400 --> 01:07:08,040
Speaker 7: That make you stand out, and.

1331
01:07:07,960 --> 01:07:11,680
Speaker 9: That that's never going away, and so how do we

1332
01:07:11,720 --> 01:07:12,200
Speaker 9: fix it?

1333
01:07:12,480 --> 01:07:13,880
Speaker 7: Whose responsibility is that?

1334
01:07:13,920 --> 01:07:17,280
Speaker 9: There's a lot of questions here, but eventually that a

1335
01:07:17,360 --> 01:07:20,680
Speaker 9: you know, a bottom line. If you are an adult

1336
01:07:21,520 --> 01:07:24,400
Speaker 9: in the workplace, you have to figure this out.

1337
01:07:24,600 --> 01:07:25,120
Speaker 7: You have to.

1338
01:07:25,560 --> 01:07:29,120
Speaker 9: Yes, you were your circumstances maybe weren't ideal with maybe

1339
01:07:29,160 --> 01:07:31,680
Speaker 9: the way you were raised or the way COVID has been,

1340
01:07:31,760 --> 01:07:33,880
Speaker 9: but take a look around, you read the room. What

1341
01:07:33,920 --> 01:07:37,360
Speaker 9: are successful people doing and then do more of that.

1342
01:07:38,280 --> 01:07:40,320
Speaker 9: It's it's that's the stuff that I don't care what

1343
01:07:40,400 --> 01:07:41,240
Speaker 9: kind of a degree you have.

1344
01:07:41,400 --> 01:07:42,280
Speaker 5: It's not that hard.

1345
01:07:42,720 --> 01:07:44,600
Speaker 2: Yeah, I don't know if that is that a coachable

1346
01:07:44,640 --> 01:07:46,880
Speaker 2: skill or personality. I don't know how you How do

1347
01:07:46,920 --> 01:07:49,800
Speaker 2: you teach initiative? You can't. Colleges aren't teaching initiative. They're

1348
01:07:49,800 --> 01:07:51,880
Speaker 2: not they're not teaching attitude.

1349
01:07:53,480 --> 01:07:57,400
Speaker 9: No, but you can by the way that you if

1350
01:07:57,440 --> 01:08:00,920
Speaker 9: you show up and your your you say, Okay, I'm

1351
01:08:00,960 --> 01:08:04,520
Speaker 9: going to absorb whatever I can in this workplace. I'm

1352
01:08:04,520 --> 01:08:08,280
Speaker 9: going to absorb the way the most successful people operate.

1353
01:08:08,400 --> 01:08:11,240
Speaker 9: I'm going to absorb the way that people run meetings.

1354
01:08:11,240 --> 01:08:14,080
Speaker 7: It seems to be productive. I'm going to absorb the

1355
01:08:14,160 --> 01:08:14,720
Speaker 7: people that.

1356
01:08:14,640 --> 01:08:17,200
Speaker 9: Have the most respect. How do they operate? And so

1357
01:08:17,400 --> 01:08:20,960
Speaker 9: you if you are a great student at your university

1358
01:08:21,040 --> 01:08:23,200
Speaker 9: or your high school, now it's up to you to

1359
01:08:23,240 --> 01:08:25,200
Speaker 9: be a student of the workplace.

1360
01:08:25,680 --> 01:08:27,240
Speaker 7: What does success look like?

1361
01:08:27,880 --> 01:08:32,720
Speaker 9: And walk in knowing that you may be smarter on

1362
01:08:32,760 --> 01:08:36,200
Speaker 9: some things than the vast majority of your coworkers, but

1363
01:08:36,360 --> 01:08:38,960
Speaker 9: you're not smarter on the stuff that's going to get

1364
01:08:38,960 --> 01:08:39,400
Speaker 9: you ahead.

1365
01:08:39,439 --> 01:08:40,040
Speaker 7: You're just not.

1366
01:08:40,800 --> 01:08:44,760
Speaker 2: Yeah, Yeah, there's the element. I think communication is huge, right,

1367
01:08:44,800 --> 01:08:48,120
Speaker 2: the interpersonal communication that's lost on this generation because there

1368
01:08:48,120 --> 01:08:51,839
Speaker 2: are digital natives and on the second digital native generation.

1369
01:08:52,840 --> 01:08:55,439
Speaker 2: So in twenty twenty six, when so much work happens

1370
01:08:55,439 --> 01:08:59,599
Speaker 2: over text and slack and email, it's all digital, right,

1371
01:09:00,080 --> 01:09:03,439
Speaker 2: what interpersonal in that is sitting on and talking and

1372
01:09:03,479 --> 01:09:06,439
Speaker 2: looking at the person on having a conversation difficult for

1373
01:09:06,560 --> 01:09:08,559
Speaker 2: gen zers to do because they're not use to it.

1374
01:09:08,600 --> 01:09:11,800
Speaker 2: That's not how they communicate. That's another skill set that

1375
01:09:11,880 --> 01:09:13,360
Speaker 2: has to be learned. That's really hard.

1376
01:09:15,120 --> 01:09:15,680
Speaker 7: Yeah, And.

1377
01:09:17,360 --> 01:09:18,160
Speaker 10: Here's a way.

1378
01:09:18,479 --> 01:09:21,040
Speaker 9: And I think people we get really caught up in

1379
01:09:21,280 --> 01:09:22,960
Speaker 9: oh my gosh, I have to know the right thing

1380
01:09:23,000 --> 01:09:25,439
Speaker 9: to say. I have to be all these things. Do

1381
01:09:25,439 --> 01:09:28,200
Speaker 9: you know what? You have to be curious and interested

1382
01:09:29,040 --> 01:09:34,240
Speaker 9: when you meet someone, become curious about their experience. How

1383
01:09:34,280 --> 01:09:35,840
Speaker 9: long have you worked here? What kind of roles have

1384
01:09:35,920 --> 01:09:38,360
Speaker 9: you held? What do you like about working here? Tell

1385
01:09:38,360 --> 01:09:41,240
Speaker 9: me about your career, Tell me about how you spend

1386
01:09:41,240 --> 01:09:45,479
Speaker 9: your spare time. Asking having a few good questions in

1387
01:09:45,520 --> 01:09:49,440
Speaker 9: your pocket is really the secret sauce to getting information,

1388
01:09:49,640 --> 01:09:53,240
Speaker 9: to getting any conversation off and running. And so then

1389
01:09:53,600 --> 01:09:55,360
Speaker 9: they answer it. Then they ask you a question and

1390
01:09:55,600 --> 01:09:58,480
Speaker 9: oh my gosh, before you know it, just having a conversation.

1391
01:09:58,560 --> 01:10:01,960
Speaker 2: How about that? How about about that my baby's walking.

1392
01:10:02,320 --> 01:10:05,439
Speaker 2: Do you think that employers will down the line that

1393
01:10:05,560 --> 01:10:07,680
Speaker 2: they're going to pull back from new grads? And what

1394
01:10:07,680 --> 01:10:09,240
Speaker 2: does that mean for that generation? What does that mean

1395
01:10:09,280 --> 01:10:09,879
Speaker 2: for the workforce.

1396
01:10:10,880 --> 01:10:14,519
Speaker 9: Yeah, it's it's really scary. There are universities, there are

1397
01:10:14,560 --> 01:10:17,960
Speaker 9: even high schools in Europe that are starting to teach

1398
01:10:18,040 --> 01:10:20,120
Speaker 9: that because it's a worldwide sort of thing and this

1399
01:10:20,200 --> 01:10:23,920
Speaker 9: isn't just us and so, but it has to start

1400
01:10:23,960 --> 01:10:27,240
Speaker 9: at home. It has to start with sitting or you know,

1401
01:10:27,600 --> 01:10:29,680
Speaker 9: doing the things that force your child out of their

1402
01:10:29,680 --> 01:10:32,840
Speaker 9: comfort zone, making them be out and be useful, as

1403
01:10:32,880 --> 01:10:34,080
Speaker 9: we talked about last week.

1404
01:10:34,120 --> 01:10:35,559
Speaker 7: And so it has to start there.

1405
01:10:35,920 --> 01:10:38,320
Speaker 9: You can't say, well, I raise, you're eighteen, Now go

1406
01:10:38,439 --> 01:10:40,519
Speaker 9: to college. They'll teach you everything else you need to know.

1407
01:10:41,000 --> 01:10:43,840
Speaker 9: You're putting your sending a lamb to slaughter at that point,

1408
01:10:43,880 --> 01:10:48,839
Speaker 9: because they're entering the workforce thinking that because they're so special,

1409
01:10:49,479 --> 01:10:52,000
Speaker 9: that everyone is going to cater to them. Well, they

1410
01:10:52,080 --> 01:10:55,559
Speaker 9: quickly learn that they don't, and then it's hard to

1411
01:10:56,120 --> 01:10:57,280
Speaker 9: hard to recover from that.

1412
01:10:57,479 --> 01:10:58,439
Speaker 5: Yeah.

1413
01:10:59,000 --> 01:11:03,760
Speaker 9: So yeah, if you put yourself, start putting yourself in

1414
01:11:04,240 --> 01:11:06,960
Speaker 9: situations and maybe aren't comfortable just take baby staff.

1415
01:11:07,080 --> 01:11:09,240
Speaker 2: Yeah, but it's got to be done if you want

1416
01:11:09,240 --> 01:11:12,160
Speaker 2: to participate in the work force. She's Julie Boukie, our

1417
01:11:12,200 --> 01:11:15,200
Speaker 2: career expert in Shirpa here on the Scottslan Show Deebouki

1418
01:11:15,320 --> 01:11:17,679
Speaker 2: group dot com b a uk is how you spell

1419
01:11:17,760 --> 01:11:19,920
Speaker 2: that she's a career coach, consultant, has old team or

1420
01:11:19,960 --> 01:11:22,000
Speaker 2: I did to work for you and uh, maybe if

1421
01:11:22,000 --> 01:11:23,439
Speaker 2: you have a gen z here in your life, maybe

1422
01:11:23,439 --> 01:11:25,880
Speaker 2: whip them in the shape here in a fashion. So, uh,

1423
01:11:25,960 --> 01:11:27,680
Speaker 2: Jill's all the best, Grab a great week. We will

1424
01:11:27,760 --> 01:11:31,599
Speaker 2: chat again next Wednesday. Yes, indeed we will all right, peace,

1425
01:11:31,840 --> 01:11:34,040
Speaker 2: see you later. News on the way in just minutes

1426
01:11:34,080 --> 01:11:37,040
Speaker 2: here Tulsea Gabber, director National Tubs is getting grilled on

1427
01:11:37,120 --> 01:11:41,519
Speaker 2: Capitol Hill right now about threats, foreign threats to midterm

1428
01:11:41,520 --> 01:11:44,040
Speaker 2: elections and more full details and news plus traffic weather

1429
01:11:44,120 --> 01:11:46,880
Speaker 2: just ahead on seven hundred WW Cincinnati.

1430
01:11:47,120 --> 01:11:49,000
Speaker 1: You want to be in America?

1431
01:11:49,720 --> 01:11:52,760
Speaker 2: Plon me back seven hundred WLW. So have you knew

1432
01:11:52,760 --> 01:11:55,080
Speaker 2: this about our great state here in Ohio? We are

1433
01:11:55,120 --> 01:11:58,160
Speaker 2: not just the birthplace of aviation. I believe that because

1434
01:11:58,200 --> 01:11:59,719
Speaker 2: it says that right on your license plate.

1435
01:11:59,760 --> 01:11:59,840
Speaker 3: You know.

1436
01:12:00,760 --> 01:12:04,280
Speaker 2: It's also one of the top spots for aerospace, aviation

1437
01:12:04,520 --> 01:12:07,559
Speaker 2: and defense. We are the number one supplier, the number

1438
01:12:07,560 --> 01:12:10,960
Speaker 2: one supplier highways to both Airbus and Boeing, with more

1439
01:12:11,040 --> 01:12:13,639
Speaker 2: than one hundred and ten thousand employees in the industry,

1440
01:12:13,680 --> 01:12:16,320
Speaker 2: six hundred companies in Ohio, and we right now you think, wow,

1441
01:12:16,360 --> 01:12:19,920
Speaker 2: we're pretty saturated. We can't train enough people to fill

1442
01:12:19,960 --> 01:12:23,120
Speaker 2: those jobs. And the future is looking really, really bright

1443
01:12:23,160 --> 01:12:26,320
Speaker 2: for a lot of these trades within aerospace. And so

1444
01:12:26,880 --> 01:12:29,000
Speaker 2: I'm sure you've heard about this. At Middletown Regional Airport,

1445
01:12:29,040 --> 01:12:31,880
Speaker 2: Butler Tech just open a brand new, state of the art,

1446
01:12:31,920 --> 01:12:34,840
Speaker 2: fifteen million dollar aviation center and this is for high

1447
01:12:34,840 --> 01:12:37,920
Speaker 2: school students and it's underway right now. The ribbon has

1448
01:12:37,920 --> 01:12:41,600
Speaker 2: been cut and in studios Williams Sprinkles, he's the superintendent

1449
01:12:41,640 --> 01:12:45,040
Speaker 2: in CEO of Butler Tech. Welcome to the studio, William.

1450
01:12:45,120 --> 01:12:49,000
Speaker 2: Congratulations by the way on the ribbon cutting. Thank you

1451
01:12:49,040 --> 01:12:50,639
Speaker 2: for that, Sarah. Thank you for having us, of course,

1452
01:12:50,680 --> 01:12:52,519
Speaker 2: and I think the biggest question to have for you, sir,

1453
01:12:52,680 --> 01:12:54,559
Speaker 2: is do you get to keep the giant scissors? What

1454
01:12:54,600 --> 01:12:56,400
Speaker 2: happens to the giant scissors you cut the ribbon with.

1455
01:12:56,600 --> 01:12:59,960
Speaker 11: You know, the giant scissors didn't work at the ribbon cutting,

1456
01:13:00,040 --> 01:13:00,599
Speaker 11: Are you kidding?

1457
01:13:00,720 --> 01:13:02,800
Speaker 2: We had to have a pair of micro scissors.

1458
01:13:02,800 --> 01:13:06,320
Speaker 11: You had a backup scissors shadowed underneath the giant scissors.

1459
01:13:06,320 --> 01:13:09,000
Speaker 11: The giant scissors the blade was too dull and didn't work.

1460
01:13:09,520 --> 01:13:10,599
Speaker 11: And so I'm sorry.

1461
01:13:10,720 --> 01:13:13,479
Speaker 2: We had some nail clippers and some micro scissors. That's

1462
01:13:13,520 --> 01:13:16,880
Speaker 2: not acceptable. It works, it works perfect. You're the CEO

1463
01:13:17,040 --> 01:13:18,879
Speaker 2: heads need to roll for this? Would you agree?

1464
01:13:19,240 --> 01:13:19,720
Speaker 3: Not at all?

1465
01:13:19,760 --> 01:13:22,120
Speaker 2: But in the world of career tech, we made it work. Okay,

1466
01:13:22,120 --> 01:13:24,519
Speaker 2: you made it happen. You think on the fly we

1467
01:13:24,600 --> 01:13:29,639
Speaker 2: always let's collect. I love it. People think, hey, aviation industry,

1468
01:13:29,800 --> 01:13:31,880
Speaker 2: everyone wants to be a pilot. That's not true, because

1469
01:13:31,920 --> 01:13:34,559
Speaker 2: you have maintenance, you have avionics, you have manufacturing, you

1470
01:13:34,600 --> 01:13:37,880
Speaker 2: have all these things. And and also we now have

1471
01:13:38,080 --> 01:13:40,840
Speaker 2: flying taxis that are being built in date, and I

1472
01:13:40,840 --> 01:13:43,280
Speaker 2: believe if I'm not mistaken, So that's a whole other sector,

1473
01:13:43,360 --> 01:13:48,360
Speaker 2: a whole nother evolution and layer of aerospace. We think aerospace, oh, ge,

1474
01:13:48,520 --> 01:13:51,280
Speaker 2: but there's so many more companies there, I'm sure, Ge.

1475
01:13:51,680 --> 01:13:55,080
Speaker 2: Is it has a hand in what the programming is

1476
01:13:55,080 --> 01:13:57,920
Speaker 2: that you do at Butler Tech william But other companies

1477
01:13:57,920 --> 01:13:59,800
Speaker 2: involved are what like, how many other companies have a

1478
01:13:59,800 --> 01:14:01,840
Speaker 2: set and like, hey, here's here's we want to be

1479
01:14:01,920 --> 01:14:04,320
Speaker 2: job ready, this is a workforce development thing. How many

1480
01:14:04,320 --> 01:14:05,840
Speaker 2: companies have a seat at the table? Sure?

1481
01:14:06,040 --> 01:14:09,200
Speaker 11: At our ribbon cutting we acknowledged at least twelve companies

1482
01:14:09,240 --> 01:14:12,400
Speaker 11: that are from the region. Companies like CTL Aerospace Standard ERA,

1483
01:14:12,439 --> 01:14:14,759
Speaker 11: which are more in the manufacturing and the aero defense side.

1484
01:14:15,160 --> 01:14:18,880
Speaker 11: There's other smaller companies that are local A ANDP mechanics shop,

1485
01:14:18,920 --> 01:14:21,880
Speaker 11: companies that sit on the that sit on the Middletown runway,

1486
01:14:22,240 --> 01:14:26,040
Speaker 11: and so companies whether they're small in size or large

1487
01:14:26,040 --> 01:14:29,080
Speaker 11: in corporate status. We try our best to welcome all

1488
01:14:29,080 --> 01:14:30,760
Speaker 11: of them and have a seat at the table and

1489
01:14:30,840 --> 01:14:33,640
Speaker 11: provide influence in the shape and the design of the

1490
01:14:33,640 --> 01:14:35,479
Speaker 11: curriculum and the experience that the students get.

1491
01:14:35,520 --> 01:14:38,280
Speaker 2: Now, I often talk about this on my show. Here

1492
01:14:38,680 --> 01:14:42,120
Speaker 2: you beat a trades guy myself and you were identifying

1493
01:14:42,120 --> 01:14:44,640
Speaker 2: with the year. Hell you're a doctor now, so doctor Sprinkles.

1494
01:14:45,280 --> 01:14:47,360
Speaker 2: They were both like tactile learners, right we you know

1495
01:14:47,360 --> 01:14:50,519
Speaker 2: in school, we I was like I'm looking at a book.

1496
01:14:50,560 --> 01:14:52,080
Speaker 2: I like, I don't get THEE for it. But you

1497
01:14:52,400 --> 01:14:54,479
Speaker 2: you put something applied in front of someone, all of

1498
01:14:54,520 --> 01:14:57,080
Speaker 2: a sudden, the light bulb goes off. We have done

1499
01:14:57,200 --> 01:14:59,120
Speaker 2: for the last couple of generations, at least the poor

1500
01:14:59,200 --> 01:15:02,280
Speaker 2: job of that. How much are we writing the ship now?

1501
01:15:02,320 --> 01:15:04,360
Speaker 2: It's starting, it's starting to come back to center a

1502
01:15:04,400 --> 01:15:04,800
Speaker 2: little bit.

1503
01:15:06,120 --> 01:15:09,839
Speaker 11: I think many people would argue for career tech centers,

1504
01:15:10,560 --> 01:15:14,200
Speaker 11: we've already righted that shit, and it's important to name

1505
01:15:14,240 --> 01:15:17,920
Speaker 11: that because this idea that career tech centers were only

1506
01:15:17,920 --> 01:15:20,760
Speaker 11: for one type of student or a particular type of

1507
01:15:20,800 --> 01:15:25,080
Speaker 11: learner is outdated. In Butler Tech's case, we serve eighteen

1508
01:15:25,200 --> 01:15:27,880
Speaker 11: thousand students a day between the grades seven and twelve,

1509
01:15:28,560 --> 01:15:31,040
Speaker 11: and we serve an additional twenty two to twenty three

1510
01:15:31,080 --> 01:15:34,519
Speaker 11: thousand learners a year in our adult education division. So

1511
01:15:34,560 --> 01:15:36,599
Speaker 11: in the grand scheme of one calendar year, we're going

1512
01:15:36,640 --> 01:15:39,080
Speaker 11: to serve over forty thousand people are going to access

1513
01:15:39,120 --> 01:15:42,200
Speaker 11: cared tech education from a Butler Tech location. That's cool,

1514
01:15:42,280 --> 01:15:45,040
Speaker 11: class or even a weekend credentialing program.

1515
01:15:45,080 --> 01:15:47,559
Speaker 2: Yeah, because I was a kid, and you know, we

1516
01:15:47,600 --> 01:15:49,800
Speaker 2: have barely had shopped class and I was so into that.

1517
01:15:49,840 --> 01:15:52,200
Speaker 2: I loved it, and they took it away and basically said, well,

1518
01:15:52,200 --> 01:15:53,120
Speaker 2: if you want to do that, you've got to go

1519
01:15:53,200 --> 01:15:56,040
Speaker 2: this whole Shepherd school for the kids who are troublemakers,

1520
01:15:56,120 --> 01:15:59,080
Speaker 2: because the students go here and the dummies go there.

1521
01:15:59,240 --> 01:16:02,400
Speaker 2: And thank god, we finally blew that up right. Yeah,

1522
01:16:02,479 --> 01:16:03,719
Speaker 2: so you're correct.

1523
01:16:04,240 --> 01:16:06,360
Speaker 11: In particular, in the late eighties and the early nineties,

1524
01:16:06,360 --> 01:16:08,679
Speaker 11: there's a lot of research about a particular type of family,

1525
01:16:08,720 --> 01:16:12,440
Speaker 11: a particular type of student. Those students were forced, persuaded,

1526
01:16:12,520 --> 01:16:15,240
Speaker 11: or channeled to career tech centers. And I'm proud to

1527
01:16:15,240 --> 01:16:18,439
Speaker 11: say now in really the last ten years at Butler Tech,

1528
01:16:19,080 --> 01:16:22,519
Speaker 11: but even today in twenty twenty six, we represent every

1529
01:16:22,560 --> 01:16:24,760
Speaker 11: single possibility for a student and a family. If you

1530
01:16:24,800 --> 01:16:26,240
Speaker 11: want to go right to the workforce, we have a

1531
01:16:26,240 --> 01:16:28,040
Speaker 11: program for that. If you want to go to a

1532
01:16:28,040 --> 01:16:31,080
Speaker 11: two year school, we have a program that'll kickstart you

1533
01:16:31,600 --> 01:16:33,400
Speaker 11: and get you ahead and lower the cost of that

1534
01:16:33,439 --> 01:16:36,640
Speaker 11: to your journey. And if you want to eventually go

1535
01:16:36,680 --> 01:16:38,879
Speaker 11: to a four year school or even your doctorate program,

1536
01:16:39,160 --> 01:16:42,000
Speaker 11: we have pathways that lead to those experiences. Things such

1537
01:16:42,000 --> 01:16:45,360
Speaker 11: as biomedical engineering and our Bioscience Center. We have something

1538
01:16:45,400 --> 01:16:49,040
Speaker 11: for everybody that leads to a high level education, a

1539
01:16:49,120 --> 01:16:52,519
Speaker 11: hands on education and hopefully it keeps families and students

1540
01:16:52,600 --> 01:16:53,960
Speaker 11: out of debt and poverty free.

1541
01:16:54,160 --> 01:16:55,880
Speaker 2: And these are our skills the are in demand because

1542
01:16:55,920 --> 01:16:58,080
Speaker 2: now you're partnering with the companies that so it's a

1543
01:16:58,120 --> 01:17:01,120
Speaker 2: great pipeline. They're trained up. And you hear that for college,

1544
01:17:01,600 --> 01:17:05,599
Speaker 2: the college path traditional for year university that young people

1545
01:17:05,640 --> 01:17:08,320
Speaker 2: will graduate, they'll come and they have no job skills whatsoever.

1546
01:17:08,400 --> 01:17:10,519
Speaker 2: Like they have this degree but no job skills. You

1547
01:17:10,560 --> 01:17:15,200
Speaker 2: guys are teaching not only the craft, but also how

1548
01:17:15,240 --> 01:17:18,439
Speaker 2: to develop that you know, how to get in that situation,

1549
01:17:18,560 --> 01:17:20,080
Speaker 2: I guess is what I'm trying to say, and be

1550
01:17:20,400 --> 01:17:22,320
Speaker 2: actually just work from day one. They don't have to

1551
01:17:22,360 --> 01:17:25,160
Speaker 2: retrain you like they do with a college degree. Yeah,

1552
01:17:25,200 --> 01:17:26,679
Speaker 2: so I appreciate that framing.

1553
01:17:27,360 --> 01:17:30,280
Speaker 11: Our belief is that young people need to have the

1554
01:17:30,280 --> 01:17:33,920
Speaker 11: actual hands on skills and the actual processes of how

1555
01:17:33,960 --> 01:17:36,360
Speaker 11: to operate machines and equipment and the credentials to make

1556
01:17:36,400 --> 01:17:39,639
Speaker 11: them successful in the workforce. We also believe our young

1557
01:17:39,640 --> 01:17:42,599
Speaker 11: people at butter A Tech have an opportunity to have

1558
01:17:42,640 --> 01:17:46,040
Speaker 11: the business acumen to not only be the person that

1559
01:17:46,120 --> 01:17:49,000
Speaker 11: works on the shop floor. But if they eventually aspire

1560
01:17:49,040 --> 01:17:51,040
Speaker 11: to want to be the CEO of the factory, they

1561
01:17:51,040 --> 01:17:53,719
Speaker 11: have that opportunity and we give them those skill sets

1562
01:17:53,760 --> 01:17:56,519
Speaker 11: to start moving in that direction and can start their career.

1563
01:17:57,200 --> 01:17:59,360
Speaker 2: The young people I mentor in the trades and trying

1564
01:17:59,360 --> 01:18:01,240
Speaker 2: to get them situation and which which type of trade

1565
01:18:01,280 --> 01:18:05,200
Speaker 2: with electrician, plumber, hi, whatever it is, aviation. It's like, listen,

1566
01:18:05,240 --> 01:18:07,240
Speaker 2: you know you're smart enough to do this, okay, and

1567
01:18:07,320 --> 01:18:09,840
Speaker 2: go to school, but also keep an eye on how

1568
01:18:09,840 --> 01:18:12,439
Speaker 2: the business runs, because the goal some days to get

1569
01:18:12,439 --> 01:18:14,920
Speaker 2: you to own your own company. And that's true not

1570
01:18:15,000 --> 01:18:17,360
Speaker 2: for everybody, but for a lot of these kids. You're like, wow,

1571
01:18:17,400 --> 01:18:19,280
Speaker 2: I can do this, and I learned so much that

1572
01:18:19,320 --> 01:18:20,920
Speaker 2: I want to go and do it my way now

1573
01:18:20,960 --> 01:18:23,880
Speaker 2: and hire people and become the next generation of entrepreneurs.

1574
01:18:23,920 --> 01:18:24,120
Speaker 3: Yeah.

1575
01:18:24,120 --> 01:18:26,839
Speaker 11: There's a lot of social media footage right now about

1576
01:18:27,240 --> 01:18:30,559
Speaker 11: one particular type of entrepreneur that's going to emerge because

1577
01:18:30,600 --> 01:18:35,240
Speaker 11: of the conflict with artificial intelligence is electricians. Electricians are

1578
01:18:35,240 --> 01:18:39,200
Speaker 11: going to be triple their worth and triple their value

1579
01:18:39,840 --> 01:18:42,479
Speaker 11: the cost that you're going to be able to charge

1580
01:18:42,479 --> 01:18:44,559
Speaker 11: and to make and to create profit share by being

1581
01:18:44,640 --> 01:18:48,639
Speaker 11: in a high skilled electrician is not something that artificial

1582
01:18:48,640 --> 01:18:51,320
Speaker 11: intelligence is going to take over that trade of soon.

1583
01:18:51,360 --> 01:18:54,760
Speaker 2: Anyways, my nephew moved here from out West and he's like,

1584
01:18:55,080 --> 01:18:56,240
Speaker 2: I just want to work. I want to get a

1585
01:18:56,280 --> 01:18:57,760
Speaker 2: job and I want to go to school. He said,

1586
01:18:57,800 --> 01:19:00,040
Speaker 2: what should I do? And I will consider trades. I

1587
01:19:00,160 --> 01:19:03,160
Speaker 2: mentioned aviation, he goes. He goes, well, which one has

1588
01:19:03,160 --> 01:19:06,519
Speaker 2: the most gross said hands down, electrician because of data farms,

1589
01:19:06,560 --> 01:19:08,479
Speaker 2: because of the infrastructures, Like you're going to have a

1590
01:19:08,560 --> 01:19:10,720
Speaker 2: job for the rest of your life and beyond. You

1591
01:19:10,760 --> 01:19:12,439
Speaker 2: may be working from the grave if you want to,

1592
01:19:12,479 --> 01:19:14,080
Speaker 2: but you're gonna make great money and you're gonna meet

1593
01:19:14,080 --> 01:19:17,640
Speaker 2: and demand do that because we need electrical workers more

1594
01:19:17,800 --> 01:19:21,320
Speaker 2: more than anything. William Sprinkles is the superintendent c Butler Tech.

1595
01:19:21,320 --> 01:19:22,960
Speaker 2: They just up at a fifteen million at state of

1596
01:19:22,960 --> 01:19:26,559
Speaker 2: the art Aviation Center of Middletown Airport and it's workforce

1597
01:19:26,560 --> 01:19:29,400
Speaker 2: development we're talking about. Ohio is the number one supplier

1598
01:19:29,840 --> 01:19:32,080
Speaker 2: to Airbus and Boeing and there's one hundred and ten

1599
01:19:32,080 --> 01:19:34,080
Speaker 2: thousand jobs and it's growing here in OHI. If you're

1600
01:19:34,080 --> 01:19:35,920
Speaker 2: looking to get in a professions here on for a

1601
01:19:36,000 --> 01:19:38,639
Speaker 2: long time, we have despite what you see with TSA

1602
01:19:38,760 --> 01:19:41,400
Speaker 2: lines and everything else in that nightmare, and maybe that

1603
01:19:41,439 --> 01:19:43,960
Speaker 2: goes to show you need more workers. But air travel

1604
01:19:44,040 --> 01:19:47,200
Speaker 2: and cargo with on demand is getting bigger and bigger

1605
01:19:47,200 --> 01:19:49,320
Speaker 2: and bigger. If you thought it was already big, it's

1606
01:19:49,360 --> 01:19:51,920
Speaker 2: going to get much bigger. The projection is maybe even

1607
01:19:51,960 --> 01:19:54,800
Speaker 2: triple in just a number of years where we are

1608
01:19:54,880 --> 01:19:56,360
Speaker 2: right now. That's kind of hard to believe. But you

1609
01:19:56,400 --> 01:19:59,040
Speaker 2: need the bodies in there too. And you hear about

1610
01:19:59,080 --> 01:20:01,840
Speaker 2: AI automation coming for jobs that doesn't apply here, does it?

1611
01:20:01,880 --> 01:20:02,040
Speaker 5: Well?

1612
01:20:02,040 --> 01:20:03,799
Speaker 2: It It does.

1613
01:20:05,520 --> 01:20:10,320
Speaker 11: Many of the trade pathways. Here's the thinking. If you

1614
01:20:10,479 --> 01:20:13,759
Speaker 11: think that you are going to be replaced by a robot,

1615
01:20:14,320 --> 01:20:17,200
Speaker 11: you probably are. You have to be willing to work

1616
01:20:17,240 --> 01:20:20,320
Speaker 11: with the emerging technology and work with robots. So there's

1617
01:20:20,360 --> 01:20:23,560
Speaker 11: a lot of technical pathways that are working with cobots.

1618
01:20:23,920 --> 01:20:26,120
Speaker 11: There's a lot of technical pathways that have to learn

1619
01:20:26,120 --> 01:20:29,719
Speaker 11: how to navigate the prompt engineering to embed AI inside

1620
01:20:29,720 --> 01:20:33,280
Speaker 11: of the pathways. It's not something that AI is exclusive

1621
01:20:33,320 --> 01:20:38,080
Speaker 11: from being invasive of those pathways. We're pushing all of

1622
01:20:38,080 --> 01:20:40,200
Speaker 11: our students, all of our teachers, all of our staff

1623
01:20:40,439 --> 01:20:43,200
Speaker 11: to embrace artificial intelligence and make sure that they're on

1624
01:20:43,240 --> 01:20:45,599
Speaker 11: the cutting edge of what's happening in those particular trades,

1625
01:20:46,040 --> 01:20:51,559
Speaker 11: industries and local pipelines. Yeah, because it's not something you

1626
01:20:51,560 --> 01:20:53,839
Speaker 11: can fight at this point. If you're not embracing it

1627
01:20:53,640 --> 01:20:56,799
Speaker 11: and working alongside it, it's going to be a competitor

1628
01:20:56,840 --> 01:20:57,479
Speaker 11: for you eventually.

1629
01:20:57,520 --> 01:20:59,799
Speaker 2: Yeah, and you know you're right, there's going to be displacement.

1630
01:20:59,840 --> 01:21:01,840
Speaker 2: But I'm wondering, you know, if you're an AVIA, if

1631
01:21:01,840 --> 01:21:05,120
Speaker 2: you're a mechanic, for example, AI is not gonna it

1632
01:21:05,160 --> 01:21:07,160
Speaker 2: may it may augment your job. That may change some

1633
01:21:07,320 --> 01:21:09,519
Speaker 2: things as being a force multiplier for you, but you

1634
01:21:09,640 --> 01:21:12,080
Speaker 2: still have to get in and fix that engine or

1635
01:21:12,080 --> 01:21:14,200
Speaker 2: that part. AI is not in a robots and can

1636
01:21:14,200 --> 01:21:15,720
Speaker 2: be able to do that because you have to have

1637
01:21:15,760 --> 01:21:19,360
Speaker 2: the critical thinking which may be augmented by AI, but

1638
01:21:19,400 --> 01:21:21,080
Speaker 2: you still have to do it with your hands as

1639
01:21:21,080 --> 01:21:23,680
Speaker 2: opposed to a robot. So I think those job. But

1640
01:21:23,800 --> 01:21:26,720
Speaker 2: I wonder about pilots. You know, we know there's a

1641
01:21:26,720 --> 01:21:29,280
Speaker 2: massive pilot shortage right now. When you can't get enough pilots,

1642
01:21:29,520 --> 01:21:33,800
Speaker 2: do we start to see is autonomous airplanes a thing

1643
01:21:33,880 --> 01:21:34,639
Speaker 2: that's going to happen.

1644
01:21:35,000 --> 01:21:38,840
Speaker 11: There's a lot of companies that are investing billions of

1645
01:21:38,840 --> 01:21:41,400
Speaker 11: dollars into the regional economy here in the Greater Cincinnati

1646
01:21:41,439 --> 01:21:44,280
Speaker 11: great and Dating great in ed Area, great in Dayton areas,

1647
01:21:44,360 --> 01:21:47,760
Speaker 11: Greater Dating areas such as such as Jobie that specialize

1648
01:21:47,760 --> 01:21:49,080
Speaker 11: in the vertical lift and take off.

1649
01:21:49,520 --> 01:21:51,160
Speaker 2: Is that the air taxis I was talking about. It

1650
01:21:51,200 --> 01:21:53,919
Speaker 2: is the air taxies. So those are still being piloted.

1651
01:21:53,960 --> 01:21:56,280
Speaker 11: They're what we're seeing right now in industry is they're

1652
01:21:56,320 --> 01:22:00,800
Speaker 11: making a shift from delivering goods and content and packages

1653
01:22:00,840 --> 01:22:03,479
Speaker 11: that are in particular weights to figuring out the volume

1654
01:22:03,520 --> 01:22:05,920
Speaker 11: of how many people that they can transport. And then

1655
01:22:05,960 --> 01:22:08,320
Speaker 11: you have to figure out how the airspace is regulated

1656
01:22:08,640 --> 01:22:11,479
Speaker 11: for the particular size of those particular aircrafts and how

1657
01:22:11,520 --> 01:22:12,440
Speaker 11: they work in airspace.

1658
01:22:12,760 --> 01:22:16,080
Speaker 2: And that's a whole nother a. I see AI managing

1659
01:22:16,120 --> 01:22:18,519
Speaker 2: air traffic too, air traffic controllers, it's gonna be AI.

1660
01:22:18,800 --> 01:22:21,240
Speaker 2: It's gonna be a while before one of us goes, yeah,

1661
01:22:21,240 --> 01:22:23,040
Speaker 2: I'm gonna get on this plane with no pilot. It's

1662
01:22:23,080 --> 01:22:25,040
Speaker 2: that's gonna take a minute. That's gonna take him in.

1663
01:22:25,160 --> 01:22:28,120
Speaker 11: Well, there's already the autonomous cars that are predominantly in

1664
01:22:28,360 --> 01:22:29,920
Speaker 11: the larger metropolitan areas.

1665
01:22:30,520 --> 01:22:32,320
Speaker 2: They're they're out west in Phoenix. When I was in

1666
01:22:32,320 --> 01:22:32,840
Speaker 2: Phoenix for.

1667
01:22:32,800 --> 01:22:34,960
Speaker 11: A conference, they're out west and it's crazy, right, and

1668
01:22:35,000 --> 01:22:36,680
Speaker 11: you they're fully autonomous.

1669
01:22:36,760 --> 01:22:39,519
Speaker 2: Yep, no driver in them. It's not that far off. Yeah,

1670
01:22:39,720 --> 01:22:42,439
Speaker 2: it's not. It's just again, the early adopters will be like,

1671
01:22:42,760 --> 01:22:45,160
Speaker 2: I may try this if I'm adventurous, but I can

1672
01:22:45,240 --> 01:22:47,479
Speaker 2: see how people get nervous about that. But in the future,

1673
01:22:47,520 --> 01:22:50,400
Speaker 2: in you know, twenty thirty, forty fifty years, it'll just

1674
01:22:50,439 --> 01:22:52,639
Speaker 2: be ah, this is what we do. We have pilot list.

1675
01:22:52,920 --> 01:22:55,160
Speaker 2: We don't need potles. It'll look like the Jetsons, correct,

1676
01:22:55,280 --> 01:22:59,080
Speaker 2: and we're headed that way. What is your completion rate

1677
01:22:59,160 --> 01:23:02,120
Speaker 2: and also place rate for new grads? Now, granted you

1678
01:23:02,160 --> 01:23:04,600
Speaker 2: just opened the center right now, but I'm sure you

1679
01:23:04,640 --> 01:23:06,760
Speaker 2: have a target. But what's your success been. We have

1680
01:23:06,800 --> 01:23:09,040
Speaker 2: two answers for that. Our graduation rate at bull Attech

1681
01:23:09,080 --> 01:23:10,880
Speaker 2: for the last ten years is nine.

1682
01:23:12,479 --> 01:23:14,760
Speaker 11: Nine percent. Some years it's one hundred. The lowest it's

1683
01:23:14,760 --> 01:23:18,439
Speaker 11: been is ninety nine. The students that complete our secondary Pathway,

1684
01:23:18,439 --> 01:23:21,479
Speaker 11: which is the equivalent of a high school diploma, those

1685
01:23:21,479 --> 01:23:24,160
Speaker 11: students were graduating ninety nine percent of our students and

1686
01:23:24,560 --> 01:23:27,519
Speaker 11: shout outs to not only our staff, but all of

1687
01:23:27,560 --> 01:23:31,320
Speaker 11: the partner schools that have partner based relationships that feed

1688
01:23:31,360 --> 01:23:34,640
Speaker 11: into Butler Tech. That's important to acknowledge our relationship with them.

1689
01:23:34,680 --> 01:23:38,400
Speaker 11: And on the adult education side, our placement rate is

1690
01:23:38,560 --> 01:23:43,000
Speaker 11: ninety percent for adult learners of every single ethnic group

1691
01:23:43,040 --> 01:23:45,160
Speaker 11: that we have, So that means white students, Black students,

1692
01:23:45,240 --> 01:23:50,120
Speaker 11: Asian students, Hispanic, Hispanic Latino students, multi racial students.

1693
01:23:50,200 --> 01:23:51,920
Speaker 2: Ninety percent of students from any.

1694
01:23:51,720 --> 01:23:55,519
Speaker 11: Subgroup that's incredible get placed into a job of the

1695
01:23:55,720 --> 01:23:58,679
Speaker 11: of the pathway, of the credential that they acquired within

1696
01:23:58,720 --> 01:23:59,960
Speaker 11: six months.

1697
01:23:59,760 --> 01:24:03,559
Speaker 2: That goes to show you just how successful and why

1698
01:24:03,600 --> 01:24:06,720
Speaker 2: this fifteen million dollar plant is needed. So on that,

1699
01:24:07,120 --> 01:24:10,640
Speaker 2: I know, the median wage for someone in the aerospace

1700
01:24:10,640 --> 01:24:13,840
Speaker 2: industries like right around six figures, right, one hundred thousand dollars.

1701
01:24:13,920 --> 01:24:17,000
Speaker 2: People leaving with that degree leaving Butler Tech, what are

1702
01:24:17,000 --> 01:24:17,479
Speaker 2: they earning.

1703
01:24:19,280 --> 01:24:22,840
Speaker 11: Students are not leaving Butler Tech with a degree after

1704
01:24:22,840 --> 01:24:25,519
Speaker 11: their high school experience. What they are leaving with is

1705
01:24:25,520 --> 01:24:28,479
Speaker 11: a series of high level credentials that are accepted and

1706
01:24:28,520 --> 01:24:32,559
Speaker 11: embraced within the industry in multiple different subpathways. So at

1707
01:24:32,600 --> 01:24:36,680
Speaker 11: our Aerospace Center, students will filter through one of three pathways.

1708
01:24:37,160 --> 01:24:39,920
Speaker 11: There is the aerospace pathway, which many students will lead

1709
01:24:40,000 --> 01:24:43,360
Speaker 11: right into college. That's a four year pathway. Students matriculate

1710
01:24:43,400 --> 01:24:46,360
Speaker 11: to four year universities if they want to focus on aerospace,

1711
01:24:47,120 --> 01:24:49,960
Speaker 11: or many of those students will head into manufacturing careers

1712
01:24:49,960 --> 01:24:52,840
Speaker 11: that work for Department of Defense and other types of

1713
01:24:52,880 --> 01:24:55,959
Speaker 11: industries like that. There are students that will be the mechanics,

1714
01:24:55,960 --> 01:24:59,439
Speaker 11: which is the AMP the airframe and power plant mechanic pathway.

1715
01:25:00,240 --> 01:25:04,639
Speaker 11: That particular industry has thousands of jobs within a two

1716
01:25:04,680 --> 01:25:07,599
Speaker 11: hour radius of the Greater Cincinnati area. And then the

1717
01:25:07,640 --> 01:25:11,120
Speaker 11: third pathway, students will have the opportunity to earn various

1718
01:25:11,160 --> 01:25:15,639
Speaker 11: different credentials for their private pilot license. Their private pilot

1719
01:25:15,640 --> 01:25:18,920
Speaker 11: license can be for their personal aircraft, can lead to

1720
01:25:19,120 --> 01:25:22,680
Speaker 11: the ability to fly a corporate aircraft, and it can

1721
01:25:22,720 --> 01:25:24,880
Speaker 11: also lead to your drone license, which is huge in

1722
01:25:25,000 --> 01:25:29,120
Speaker 11: various different sub industries right now, such as defense, construction,

1723
01:25:29,200 --> 01:25:31,880
Speaker 11: real estate construction, and that list goes on and on

1724
01:25:31,880 --> 01:25:33,800
Speaker 11: and on, and of course industries like yourself in the

1725
01:25:33,840 --> 01:25:34,400
Speaker 11: media industry.

1726
01:25:34,479 --> 01:25:37,800
Speaker 2: Yeah, yeah, that's fascinating. So you're pretty much guaranteed a job,

1727
01:25:37,920 --> 01:25:39,840
Speaker 2: you know, and not only that, the success rate is

1728
01:25:39,880 --> 01:25:41,840
Speaker 2: so high it's a no brainer. I think it may

1729
01:25:41,840 --> 01:25:43,600
Speaker 2: be for somebody who's going, wow, am I going to

1730
01:25:43,600 --> 01:25:45,960
Speaker 2: get laid off? I've got laid off again? Maybe you

1731
01:25:45,960 --> 01:25:48,879
Speaker 2: want to pivot career wise. The adult education program is wonderful.

1732
01:25:49,479 --> 01:25:52,200
Speaker 2: It is the brand new Butler Tech Aviation Center at

1733
01:25:52,240 --> 01:25:55,519
Speaker 2: Middletown Regional Airport. Williams. Sprinkle, Superintendent and CEO Butler Tech,

1734
01:25:55,520 --> 01:25:57,040
Speaker 2: thanks for popping in today. Appreciate it.

1735
01:25:57,320 --> 01:25:58,160
Speaker 3: Thank you for having me.

1736
01:25:58,240 --> 01:26:00,960
Speaker 11: And what would be important to all so acknowledge is

1737
01:26:01,000 --> 01:26:03,760
Speaker 11: we have a ribbon cutting for our brand new bioscience

1738
01:26:03,800 --> 01:26:06,599
Speaker 11: center in one month on April thirteenth, which is strictly

1739
01:26:06,600 --> 01:26:10,200
Speaker 11: about the forecast of jobs in this market for healthcare,

1740
01:26:10,520 --> 01:26:13,240
Speaker 11: which is one of the most booming in demand fields

1741
01:26:13,280 --> 01:26:13,639
Speaker 11: this state.

1742
01:26:13,720 --> 01:26:17,000
Speaker 2: Has gonna bring the good scissors this time for that one.

1743
01:26:17,240 --> 01:26:20,040
Speaker 2: We're gonna bring the good scissors. Don't you can do

1744
01:26:20,080 --> 01:26:21,680
Speaker 2: it once and screw it up. Yeah, I can't have

1745
01:26:21,760 --> 01:26:23,800
Speaker 2: it twice though, You're gonna have to. We're gonna bring

1746
01:26:23,840 --> 01:26:27,599
Speaker 2: the great were the ribbons, practice ribbon practice scissors. Let's

1747
01:26:27,640 --> 01:26:29,200
Speaker 2: just put a little work in spring. We got it,

1748
01:26:29,240 --> 01:26:31,519
Speaker 2: We we got it. Appreciate you. Thanks for things all right,

1749
01:26:31,520 --> 01:26:33,280
Speaker 2: thanks again, got to get the news update in here

1750
01:26:33,320 --> 01:26:40,880
Speaker 2: momentarily sloany seven hundred w since night.

1751
01:26:43,720 --> 01:26:54,479
Speaker 4: Yes, Yes, I smell Ham.

1752
01:26:54,800 --> 01:26:55,519
Speaker 2: You smell Ham.

1753
01:26:55,560 --> 01:26:58,000
Speaker 12: I smell Ham Winter Winter pig dinner.

1754
01:26:58,439 --> 01:27:00,320
Speaker 2: It's a snot reports sare at least jump sent from

1755
01:27:00,360 --> 01:27:03,400
Speaker 2: the kid CHRISHO on one O two seven EBN. It's sports,

1756
01:27:03,640 --> 01:27:07,439
Speaker 2: it's gossip, it's internet stuff and it's laughing through her nose.

1757
01:27:07,479 --> 01:27:08,320
Speaker 2: Good morning, how are you?

1758
01:27:08,439 --> 01:27:09,080
Speaker 12: Good morning?

1759
01:27:09,160 --> 01:27:12,439
Speaker 10: Thank you to Ricoccino for filling in last week. I

1760
01:27:12,479 --> 01:27:13,720
Speaker 10: was about in the desert.

1761
01:27:13,600 --> 01:27:15,360
Speaker 2: With your girl and boy.

1762
01:27:15,400 --> 01:27:19,679
Speaker 10: Trip with the girls slash one boy on the trip. Yes,

1763
01:27:19,720 --> 01:27:22,559
Speaker 10: we were out in Goodyear Arizona, ate a lot of

1764
01:27:22,600 --> 01:27:26,519
Speaker 10: things out of helmets, drank out of beer, bats, soaked

1765
01:27:26,600 --> 01:27:28,960
Speaker 10: up all the sun, and saw some good baseball. So

1766
01:27:29,120 --> 01:27:32,439
Speaker 10: Ken confirmed that Matt McLean is red hot. Right now,

1767
01:27:32,560 --> 01:27:33,200
Speaker 10: you have a good time.

1768
01:27:33,640 --> 01:27:35,760
Speaker 12: It was excellent. It's a ten out of ten every time.

1769
01:27:35,840 --> 01:27:37,360
Speaker 2: How many girls you go with? How many ladies?

1770
01:27:37,680 --> 01:27:38,040
Speaker 12: Three?

1771
01:27:38,760 --> 01:27:40,040
Speaker 2: And one of them bought, brought a.

1772
01:27:40,000 --> 01:27:43,720
Speaker 10: Boyfriend, brought the husband husband, Yes, what's his deal?

1773
01:27:43,760 --> 01:27:44,719
Speaker 2: Lot of self esteem?

1774
01:27:45,080 --> 01:27:47,800
Speaker 10: It's not even that I think he knows. It's an

1775
01:27:47,840 --> 01:27:50,639
Speaker 10: awesome time. I mean, we're a fun group to be around.

1776
01:27:51,040 --> 01:27:53,600
Speaker 10: It's sunshine, baseball good.

1777
01:27:54,720 --> 01:27:55,599
Speaker 12: Of course he does.

1778
01:27:56,439 --> 01:27:58,360
Speaker 2: Well, why's you gotta get it? If it's if it's

1779
01:27:58,400 --> 01:28:01,720
Speaker 2: three other women four total? Yeah, four women and one

1780
01:28:01,720 --> 01:28:05,280
Speaker 2: guy in one air Airbnb? Yep, why would you want

1781
01:28:05,320 --> 01:28:05,640
Speaker 2: to do that?

1782
01:28:05,800 --> 01:28:06,680
Speaker 12: We shared one car.

1783
01:28:08,240 --> 01:28:08,559
Speaker 1: You know what?

1784
01:28:09,120 --> 01:28:10,080
Speaker 2: He fill it next week.

1785
01:28:10,120 --> 01:28:11,320
Speaker 10: I got to talk to you want me to bring

1786
01:28:11,360 --> 01:28:13,240
Speaker 10: him in here? I would love to meet this guy.

1787
01:28:13,600 --> 01:28:16,040
Speaker 10: Actually I could organize that. I feel the need to

1788
01:28:16,080 --> 01:28:19,920
Speaker 10: tag along with Dave. I'm just saying, is why would

1789
01:28:19,920 --> 01:28:22,040
Speaker 10: you do that? If you're a guy like I'm gonna

1790
01:28:22,080 --> 01:28:23,360
Speaker 10: go with my wife and her friends.

1791
01:28:23,400 --> 01:28:24,360
Speaker 3: That's you're not.

1792
01:28:24,280 --> 01:28:24,800
Speaker 1: Supposed to do.

1793
01:28:24,840 --> 01:28:26,040
Speaker 2: That's breaking all the rules.

1794
01:28:26,160 --> 01:28:30,000
Speaker 10: He did drive us everywhere, which was nice, and helped

1795
01:28:30,080 --> 01:28:31,840
Speaker 10: carry our bags, which was also.

1796
01:28:31,600 --> 01:28:34,320
Speaker 12: A big bonus. So he had bought dinner one night.

1797
01:28:34,360 --> 01:28:37,240
Speaker 2: He jealous.

1798
01:28:37,439 --> 01:28:40,000
Speaker 12: It's a very confident dude. He's got a great job.

1799
01:28:40,920 --> 01:28:42,360
Speaker 12: He's like one of the girls.

1800
01:28:42,400 --> 01:28:44,639
Speaker 2: You know, does he is he that possessive about her?

1801
01:28:44,680 --> 01:28:44,760
Speaker 3: Like?

1802
01:28:45,120 --> 01:28:45,960
Speaker 12: No, not at all.

1803
01:28:46,080 --> 01:28:48,559
Speaker 2: When she's on stage dancing at the club, he sits

1804
01:28:48,600 --> 01:28:49,400
Speaker 2: in the back drinking.

1805
01:28:49,600 --> 01:28:50,680
Speaker 12: He's the one taking the pick.

1806
01:28:50,800 --> 01:28:52,759
Speaker 2: He's a guy sitting in the back watching his girlfriend

1807
01:28:52,960 --> 01:28:54,360
Speaker 2: making sure customers.

1808
01:28:54,640 --> 01:28:57,160
Speaker 12: He is very confident in their relationship, is he?

1809
01:28:57,360 --> 01:28:58,479
Speaker 2: Yeah?

1810
01:28:59,080 --> 01:29:01,400
Speaker 10: Because it's a fun Who doesn't want to go out

1811
01:29:01,400 --> 01:29:02,720
Speaker 10: to Goodyear and watch the Reds play?

1812
01:29:02,800 --> 01:29:04,639
Speaker 2: Now with you? That doesn't sound like fun at all?

1813
01:29:05,280 --> 01:29:08,040
Speaker 2: What's wrong with me? You and your friends? That's nothing

1814
01:29:08,120 --> 01:29:09,200
Speaker 2: a guy wants to be part of that.

1815
01:29:09,280 --> 01:29:10,880
Speaker 10: They're an easy going group. I think you'd have a

1816
01:29:10,880 --> 01:29:12,360
Speaker 10: good time with us slow. I don't think well it

1817
01:29:12,439 --> 01:29:14,040
Speaker 10: want to come next to you. If it's mixed couple,

1818
01:29:14,160 --> 01:29:15,920
Speaker 10: that's fine. But you don't want to be the one

1819
01:29:15,920 --> 01:29:17,240
Speaker 10: guy and a bunch of girls. You don't want to

1820
01:29:17,240 --> 01:29:18,840
Speaker 10: be the only cock in the hen halves.

1821
01:29:20,600 --> 01:29:21,960
Speaker 12: Speaking of being the only.

1822
01:29:23,439 --> 01:29:29,800
Speaker 10: Okay, we gotta get to it. We got hoops tonight, baby,

1823
01:29:30,280 --> 01:29:34,120
Speaker 10: we got oops tonight. It's of course, Miami SMU. They

1824
01:29:34,120 --> 01:29:37,000
Speaker 10: say nine to fifteen dip and it'll be about ten o'clock.

1825
01:29:37,120 --> 01:29:40,599
Speaker 10: I'm sure I'm gonna be just the dip. I'm gonna

1826
01:29:40,640 --> 01:29:43,080
Speaker 10: be so sleep deprived tomorrow, but it's gonna be worth it.

1827
01:29:43,640 --> 01:29:44,840
Speaker 12: Hopefully they can.

1828
01:29:44,720 --> 01:29:46,600
Speaker 10: Make it out of this alive and then they'll be

1829
01:29:46,640 --> 01:29:50,439
Speaker 10: playing Tennessee on Friday, and Will Travis Steele be in

1830
01:29:50,439 --> 01:29:52,800
Speaker 10: his lucky blue Skyline T shirt.

1831
01:29:53,120 --> 01:29:55,479
Speaker 12: Apparently this is a thing. We learned this on Local twelve.

1832
01:29:55,479 --> 01:29:58,519
Speaker 10: It's trending on social media that for every single game,

1833
01:29:58,600 --> 01:30:02,160
Speaker 10: coach Steele has been wearing this like blue Skyline Chili

1834
01:30:02,200 --> 01:30:04,520
Speaker 10: T shirt underneath of his like Pulo.

1835
01:30:04,400 --> 01:30:06,320
Speaker 2: I love superstitions, I love sports superstitions.

1836
01:30:06,479 --> 01:30:10,240
Speaker 10: Yeah, he's very superstitious. And he goes, look, I'm not dirty.

1837
01:30:10,320 --> 01:30:12,639
Speaker 10: I do wash it, but I'm not going to miss

1838
01:30:12,640 --> 01:30:15,880
Speaker 10: out on wearing it. Is thirty one in one great.

1839
01:30:16,120 --> 01:30:19,759
Speaker 2: Great stories about sports superstitions, I mean fantastic stuff.

1840
01:30:19,880 --> 01:30:20,599
Speaker 12: Yeah. Yeah.

1841
01:30:20,640 --> 01:30:23,559
Speaker 10: And also Peter Suitter, you know Star Senior. He wears

1842
01:30:23,600 --> 01:30:26,479
Speaker 10: the same sucks for every single game. Sure, and he's like, look,

1843
01:30:26,479 --> 01:30:29,720
Speaker 10: I'm also not disgusting. I do wash them. He's like,

1844
01:30:29,760 --> 01:30:32,280
Speaker 10: I'm not that dirty. So just say, you know a

1845
01:30:32,280 --> 01:30:34,840
Speaker 10: lot a very superstitious team, and it seems like it's

1846
01:30:34,840 --> 01:30:35,720
Speaker 10: working out pretty good.

1847
01:30:35,800 --> 01:30:37,920
Speaker 2: Sure Philip doesn't then he started a new superstition.

1848
01:30:38,560 --> 01:30:41,840
Speaker 10: Hopefully all of those superstitious stuff comes into play tonight

1849
01:30:41,880 --> 01:30:43,840
Speaker 10: and they can get out of the eighty five to

1850
01:30:43,880 --> 01:30:45,000
Speaker 10: eighty three is my prediction.

1851
01:30:45,200 --> 01:30:48,639
Speaker 2: Okay, what do you think I want? My well, here's

1852
01:30:48,680 --> 01:30:48,920
Speaker 2: the thing.

1853
01:30:48,960 --> 01:30:50,360
Speaker 10: I feel like a lot of guys around here that

1854
01:30:50,400 --> 01:30:52,200
Speaker 10: I've talked to about it, they don't think Miami's going

1855
01:30:52,240 --> 01:30:52,840
Speaker 10: to win tonight.

1856
01:30:54,400 --> 01:30:59,800
Speaker 2: You beat SMU, you got Tennessee. Yep, it ends there, right,

1857
01:31:00,000 --> 01:31:00,320
Speaker 2: I mean.

1858
01:31:00,479 --> 01:31:00,960
Speaker 1: I don't know.

1859
01:31:01,640 --> 01:31:02,679
Speaker 2: I am stop.

1860
01:31:03,720 --> 01:31:06,400
Speaker 10: I'm trying to be really confident and optimistic. This is

1861
01:31:06,400 --> 01:31:08,720
Speaker 10: why you don't last Thursday's game though, had me on edge.

1862
01:31:08,720 --> 01:31:10,080
Speaker 10: I was like, I don't like how these guys are

1863
01:31:10,120 --> 01:31:10,880
Speaker 10: playing in this one.

1864
01:31:10,920 --> 01:31:13,280
Speaker 2: I really want Miami to win because you don't want

1865
01:31:13,280 --> 01:31:15,519
Speaker 2: to lose two. You go perfect, then you lose your

1866
01:31:15,560 --> 01:31:17,559
Speaker 2: two games. When it came to go back.

1867
01:31:17,360 --> 01:31:20,519
Speaker 10: To back losses like that, I was worried watching selection Sunday,

1868
01:31:20,760 --> 01:31:22,400
Speaker 10: I was like, or are they going to get in?

1869
01:31:23,000 --> 01:31:24,680
Speaker 12: You got the akron Zips, the.

1870
01:31:24,680 --> 01:31:27,160
Speaker 2: Three other teams more behind them, so it wasn't like

1871
01:31:27,160 --> 01:31:29,479
Speaker 2: they're the last team in. But right, I'm hoping for

1872
01:31:30,240 --> 01:31:32,200
Speaker 2: you know, fourteen seed and fifteen.

1873
01:31:31,840 --> 01:31:33,120
Speaker 12: You got to put them in there at thirty one

1874
01:31:33,160 --> 01:31:35,880
Speaker 12: and one. So yeah, now you say up for this one?

1875
01:31:35,880 --> 01:31:39,040
Speaker 12: Will you watch? Being a maction kind of guy, let's start.

1876
01:31:39,280 --> 01:31:41,720
Speaker 10: Oh, they say nine to fifteen, but it'll likely be

1877
01:31:42,000 --> 01:31:43,160
Speaker 10: closer than nine five.

1878
01:31:43,280 --> 01:31:44,240
Speaker 2: Probably watch first half.

1879
01:31:44,400 --> 01:31:47,720
Speaker 10: Okay, all that matters are the last few seconds. I know,

1880
01:31:48,000 --> 01:31:49,320
Speaker 10: and I think it's going to be close.

1881
01:31:49,360 --> 01:31:50,120
Speaker 12: I really do.

1882
01:31:50,680 --> 01:31:52,200
Speaker 10: I think it's going to come down. It's going to

1883
01:31:52,280 --> 01:31:53,639
Speaker 10: come down to the final few seconds.

1884
01:31:53,640 --> 01:31:53,960
Speaker 4: I know it.

1885
01:31:54,360 --> 01:31:57,400
Speaker 2: When you're not a UC or Xavier or O you alum,

1886
01:31:57,439 --> 01:31:58,320
Speaker 2: you're a Miami alum.

1887
01:31:58,439 --> 01:31:58,680
Speaker 8: I am.

1888
01:31:58,680 --> 01:32:02,240
Speaker 12: I'm wearing my Miami a Lum sweatshirt today.

1889
01:32:02,320 --> 01:32:04,599
Speaker 2: You know they don't hand those Miami Alump shirts out

1890
01:32:04,640 --> 01:32:07,439
Speaker 2: to anyone. No, sir, you really have online. You have

1891
01:32:07,560 --> 01:32:10,000
Speaker 2: to show your you have to show your transcript.

1892
01:32:10,560 --> 01:32:13,320
Speaker 10: President Crawford gifted me this one, so okay, all right,

1893
01:32:13,320 --> 01:32:13,760
Speaker 10: good job.

1894
01:32:13,880 --> 01:32:15,680
Speaker 12: No he actually didn't, sir.

1895
01:32:15,720 --> 01:32:16,160
Speaker 2: It's old.

1896
01:32:16,720 --> 01:32:17,800
Speaker 12: I mean, yeah, it's that's not.

1897
01:32:17,760 --> 01:32:18,839
Speaker 2: A legit Miami.

1898
01:32:18,920 --> 01:32:20,920
Speaker 10: Look how old this thing is. I graduated back in

1899
01:32:20,960 --> 01:32:23,280
Speaker 10: twenty ten. So to your math, it's upsight. That's actually

1900
01:32:23,280 --> 01:32:27,240
Speaker 10: a w So anyway, winning, which is exactly what they're

1901
01:32:27,240 --> 01:32:31,080
Speaker 10: gonna do tonight. Speaking of winning, our guy Auhino Suarez.

1902
01:32:31,160 --> 01:32:33,120
Speaker 10: I don't know if you watch that post game speech,

1903
01:32:33,200 --> 01:32:36,559
Speaker 10: but it'll have your skin, just the arms on your

1904
01:32:36,560 --> 01:32:38,599
Speaker 10: hair will be standing up. I mean I get chills

1905
01:32:38,640 --> 01:32:40,439
Speaker 10: thinking about it. It's it was so cool.

1906
01:32:40,520 --> 01:32:42,559
Speaker 2: You know, the shirt play is you want Team USA

1907
01:32:42,600 --> 01:32:43,439
Speaker 2: to win, which they didn't.

1908
01:32:43,520 --> 01:32:45,120
Speaker 12: You do you want Gino to win, and you want

1909
01:32:45,240 --> 01:32:45,760
Speaker 12: USA to win.

1910
01:32:45,880 --> 01:32:48,240
Speaker 2: You want to win. It's like, but Gino was so hot,

1911
01:32:48,720 --> 01:32:51,479
Speaker 2: so hot. Okay, that's going to transl like he's got

1912
01:32:51,520 --> 01:32:52,880
Speaker 2: a chip playing. He was playing with a chip on

1913
01:32:52,920 --> 01:32:53,560
Speaker 2: his shoulder.

1914
01:32:53,320 --> 01:32:55,439
Speaker 12: And after that home run, the other wonder why.

1915
01:32:55,439 --> 01:32:57,640
Speaker 2: It's like, maybe you know what we're doing with Venezuela,

1916
01:32:57,720 --> 01:32:59,680
Speaker 2: and like, I'm sure he's not a Maduro fan, but

1917
01:32:59,720 --> 01:33:02,240
Speaker 2: he's been very outspoken about action over there, and maybe

1918
01:33:02,280 --> 01:33:03,960
Speaker 2: that's the chip on his shoulder. Maybe this is like

1919
01:33:04,040 --> 01:33:06,120
Speaker 2: he shows up and is just breaking from day one,

1920
01:33:06,160 --> 01:33:08,439
Speaker 2: which you know what the long play is. I don't

1921
01:33:08,439 --> 01:33:10,400
Speaker 2: want to see Team USA lose. But if it means

1922
01:33:10,520 --> 01:33:12,880
Speaker 2: Suarez is going to play like that for the season, I'm.

1923
01:33:12,760 --> 01:33:14,720
Speaker 12: In bring all the good vibes to Cincinnati.

1924
01:33:14,800 --> 01:33:14,960
Speaker 1: Yeah.

1925
01:33:14,960 --> 01:33:16,920
Speaker 10: With a go ahead double in the ninth last night,

1926
01:33:16,960 --> 01:33:20,479
Speaker 10: of course, Venezuela over us A three to two. And

1927
01:33:20,680 --> 01:33:22,640
Speaker 10: if you've not seen this speech, it's trending all of

1928
01:33:22,640 --> 01:33:26,640
Speaker 10: our social media. Very lengthy, but he basically said, you know,

1929
01:33:26,800 --> 01:33:29,960
Speaker 10: not just teammates, were a family and he just he

1930
01:33:30,080 --> 01:33:32,320
Speaker 10: was preaching the Bible. He was like, God is good

1931
01:33:32,320 --> 01:33:35,439
Speaker 10: as all because of God, and man, it's just chilling

1932
01:33:35,439 --> 01:33:36,280
Speaker 10: to watch good Man.

1933
01:33:36,479 --> 01:33:38,439
Speaker 12: So I'm glad that he is a Cincinnati Red. That's

1934
01:33:38,479 --> 01:33:38,920
Speaker 12: the best.

1935
01:33:39,040 --> 01:33:41,479
Speaker 10: Yeah, that's the best that they made in the off season.

1936
01:33:41,600 --> 01:33:43,840
Speaker 10: Cannot wait to watch him. Looking forward to it and

1937
01:33:43,920 --> 01:33:49,720
Speaker 10: to hear that intro Josie do it sony'ow it.

1938
01:33:49,920 --> 01:33:51,800
Speaker 2: No, he doesn't let you do it.

1939
01:33:53,439 --> 01:33:53,599
Speaker 3: Nice?

1940
01:33:53,600 --> 01:33:56,479
Speaker 2: And hey, can you do? Then you can't do the lineup?

1941
01:33:56,760 --> 01:33:59,240
Speaker 12: A hanio hanio?

1942
01:34:00,400 --> 01:34:01,519
Speaker 3: Wow, there it is.

1943
01:34:01,640 --> 01:34:06,519
Speaker 12: Thank you. Also, I have more good news, So Hunt.

1944
01:34:06,800 --> 01:34:10,320
Speaker 2: Broken Glass night at Great American Ballpark. All kids hunder

1945
01:34:10,360 --> 01:34:12,519
Speaker 2: twelve get a free bag of broken glass.

1946
01:34:12,600 --> 01:34:14,759
Speaker 10: Speaking of broken glass, that leads me to my next

1947
01:34:15,080 --> 01:34:17,840
Speaker 10: point here of talking about Hunter green Hu and all

1948
01:34:17,880 --> 01:34:19,439
Speaker 10: those broken chips in his elbow.

1949
01:34:19,840 --> 01:34:22,439
Speaker 12: So we got that fixed and he decided to go back.

1950
01:34:23,120 --> 01:34:26,439
Speaker 2: It's Mr Night, Great American Ballpark.

1951
01:34:26,040 --> 01:34:31,080
Speaker 10: More M Horizon RBI perfect. So he got the chips

1952
01:34:31,080 --> 01:34:33,519
Speaker 10: in the elbow all figured out, and he decided to

1953
01:34:33,520 --> 01:34:35,519
Speaker 10: go back out to Arizona.

1954
01:34:35,280 --> 01:34:37,959
Speaker 12: And had nothing but good things to say about the procedure.

1955
01:34:38,000 --> 01:34:41,840
Speaker 10: He said, he already feels freedom in that elbow and said,

1956
01:34:41,880 --> 01:34:44,280
Speaker 10: you know, I've got the normal swelling and the discomfort,

1957
01:34:44,400 --> 01:34:46,160
Speaker 10: but I'm making progress pretty quick.

1958
01:34:46,240 --> 01:34:48,520
Speaker 2: Why didn't we do this last year in October?

1959
01:34:49,200 --> 01:34:54,280
Speaker 12: Why bruh, we'd be well on our way with hundred Green.

1960
01:34:54,960 --> 01:34:58,519
Speaker 10: No kidding, Yeah, I'm sure it does after it's been

1961
01:34:58,600 --> 01:35:03,760
Speaker 10: injured for six months. I'm hot and cold with Hunter Green. Yeah,

1962
01:35:03,800 --> 01:35:08,280
Speaker 10: it's like when he's great, he's great, but he's stubborn.

1963
01:35:07,920 --> 01:35:12,439
Speaker 12: Dude, elbow chicks man. Well now he doesn't have those chips.

1964
01:35:12,439 --> 01:35:14,519
Speaker 2: It's all so nup. I shouldn't pay him for this.

1965
01:35:14,640 --> 01:35:15,960
Speaker 2: I demand a rebate.

1966
01:35:16,120 --> 01:35:18,360
Speaker 10: He makes too much money for this. This is ridiculous,

1967
01:35:18,760 --> 01:35:20,600
Speaker 10: just a bad move. So of course, while I was

1968
01:35:20,600 --> 01:35:22,559
Speaker 10: in Arizona, they did announce. I know we all know

1969
01:35:22,600 --> 01:35:24,439
Speaker 10: this by now, that it's going to be Andrew rabbits

1970
01:35:24,960 --> 01:35:27,599
Speaker 10: on the mound next Thursday, taking on the Red Sox

1971
01:35:27,640 --> 01:35:28,800
Speaker 10: when it all starts to count.

1972
01:35:29,040 --> 01:35:30,320
Speaker 12: How do you feel about Andrew Rabbit.

1973
01:35:30,360 --> 01:35:32,320
Speaker 10: I mean, he's had a rough spring, and I know

1974
01:35:32,360 --> 01:35:34,000
Speaker 10: Peo are kind of giving him a hard time about it.

1975
01:35:34,040 --> 01:35:37,200
Speaker 10: But Andrew has told media, look, I am just trying

1976
01:35:37,240 --> 01:35:39,679
Speaker 10: to stay healthy here. I think he's got an era

1977
01:35:39,880 --> 01:35:42,680
Speaker 10: of over thirteen now, so rough thoughts.

1978
01:35:43,400 --> 01:35:45,880
Speaker 2: I mean again, start of the season. You want to

1979
01:35:45,920 --> 01:35:48,320
Speaker 2: come out of the blocks hot for sure, Yeah, I mean,

1980
01:35:48,600 --> 01:35:50,640
Speaker 2: but but who else would you would you elevate over

1981
01:35:50,640 --> 01:35:51,400
Speaker 2: the Lodol.

1982
01:35:52,120 --> 01:35:54,400
Speaker 12: Singer, Lodolo, Chase Burns.

1983
01:35:54,080 --> 01:35:57,160
Speaker 2: Red Louder, You got the Boston Red Sox coming in. Yeah,

1984
01:35:57,720 --> 01:35:59,960
Speaker 2: gotta puts your best out there, So maybe he got

1985
01:36:00,000 --> 01:36:03,360
Speaker 2: I don't know, it's right the expectations. Green comes back

1986
01:36:03,400 --> 01:36:05,400
Speaker 2: around maybe after the All Star break at.

1987
01:36:05,280 --> 01:36:08,840
Speaker 10: This point at the earliest, and that is if everything

1988
01:36:08,920 --> 01:36:11,360
Speaker 10: is going okay and he doesn't go pushing it like

1989
01:36:11,400 --> 01:36:14,360
Speaker 10: he was doing in October pitching against the Dodgers.

1990
01:36:14,520 --> 01:36:14,800
Speaker 3: God.

1991
01:36:16,520 --> 01:36:18,640
Speaker 10: So yeah, we'll see Andrew the other day for his

1992
01:36:19,000 --> 01:36:20,840
Speaker 10: last start. I don't know if that's the last start

1993
01:36:20,840 --> 01:36:22,960
Speaker 10: that we'll see from him before Opening Day. I would

1994
01:36:23,000 --> 01:36:24,920
Speaker 10: imagine that Tito will give him one more.

1995
01:36:25,320 --> 01:36:25,840
Speaker 2: Maybe they just.

1996
01:36:27,240 --> 01:36:29,759
Speaker 10: But he did have sixty nine pitches and only two

1997
01:36:29,880 --> 01:36:34,000
Speaker 10: innings and he gave up four runs, so kind of tough.

1998
01:36:34,000 --> 01:36:35,800
Speaker 10: He did say that he wasn't feeling well, So I

1999
01:36:35,840 --> 01:36:38,120
Speaker 10: hope that everything can be one hundred percent and ready

2000
01:36:38,160 --> 01:36:38,360
Speaker 10: to go.

2001
01:36:39,760 --> 01:36:41,439
Speaker 2: You can't worry about it's going to happen. We'll find

2002
01:36:41,439 --> 01:36:42,479
Speaker 2: out you can't.

2003
01:36:42,720 --> 01:36:44,200
Speaker 12: So it's gonna be a split squad day.

2004
01:36:44,400 --> 01:36:47,000
Speaker 10: Half of the team will stay at Goodyear Ballpark where

2005
01:36:47,000 --> 01:36:49,240
Speaker 10: they'll host the Rockies and the other and they'll have

2006
01:36:49,240 --> 01:36:51,080
Speaker 10: Brady Singer on the mound for that one, and then

2007
01:36:51,160 --> 01:36:54,760
Speaker 10: the other half will go to Arizona's stadium.

2008
01:36:54,840 --> 01:36:58,000
Speaker 12: So it'll be most likely like an opening day looking.

2009
01:36:57,760 --> 01:37:02,679
Speaker 2: Kind of get everybody getting some working. Yeah, yeah, Tom

2010
01:37:02,680 --> 01:37:04,800
Speaker 2: Bridman hasn't been on vacation. He's actually it's part of

2011
01:37:04,840 --> 01:37:08,479
Speaker 2: our split squad. Action squad was off. I think Eddie

2012
01:37:08,560 --> 01:37:10,600
Speaker 2: was off. Willie was off, so it's like we had

2013
01:37:10,640 --> 01:37:11,160
Speaker 2: split squad.

2014
01:37:11,240 --> 01:37:13,000
Speaker 12: Yeah, we have more guys out than it. Yeah, I

2015
01:37:13,000 --> 01:37:13,800
Speaker 12: don't know what's going on.

2016
01:37:13,920 --> 01:37:15,519
Speaker 2: Reinhard wants to try some guys out. You know what

2017
01:37:15,520 --> 01:37:17,800
Speaker 2: it is, I get it split squad and yeah, yeah,

2018
01:37:18,040 --> 01:37:22,200
Speaker 2: Tom's doing a morning showing Lima likely. No, Will, I'm sorry, no,

2019
01:37:22,360 --> 01:37:23,400
Speaker 2: it was I think Will.

2020
01:37:23,479 --> 01:37:24,320
Speaker 12: He's done in Maple.

2021
01:37:24,520 --> 01:37:26,840
Speaker 2: I think Fingers was getting some working on line of time.

2022
01:37:26,880 --> 01:37:27,599
Speaker 12: Where has he been?

2023
01:37:27,680 --> 01:37:27,920
Speaker 5: Tom?

2024
01:37:29,080 --> 01:37:31,160
Speaker 2: Tom was out in iHeart Kansas City?

2025
01:37:31,320 --> 01:37:40,840
Speaker 12: So what you got me all distracted here?

2026
01:37:41,080 --> 01:37:43,880
Speaker 10: And of course we've been talking about Matt McClain being

2027
01:37:44,000 --> 01:37:48,280
Speaker 10: red hot, the hottest hitter of this team in spring ball.

2028
01:37:48,360 --> 01:37:50,519
Speaker 10: His average is like a five to fifty three. He's

2029
01:37:50,560 --> 01:37:53,920
Speaker 10: got six home runs. Do you think he can carry

2030
01:37:53,920 --> 01:37:56,680
Speaker 10: this over into the regular season. I mean, we know

2031
01:37:56,760 --> 01:37:59,040
Speaker 10: he's coming off that bad surgery in twenty twenty four.

2032
01:37:59,160 --> 01:38:02,840
Speaker 10: Last year was brutal for this guy, but he seems

2033
01:38:02,880 --> 01:38:04,640
Speaker 10: to believe them. He's put them in the too, in

2034
01:38:04,680 --> 01:38:06,800
Speaker 10: the two spot between Friedol and Ellie's.

2035
01:38:06,880 --> 01:38:11,120
Speaker 2: So how is he Why wouldn't he continue that into

2036
01:38:11,120 --> 01:38:11,880
Speaker 2: the regular season.

2037
01:38:12,560 --> 01:38:14,320
Speaker 12: I don't know the pressures on though right now. I

2038
01:38:14,320 --> 01:38:15,960
Speaker 12: feel like there's not a whole lot of pressure.

2039
01:38:15,960 --> 01:38:16,759
Speaker 2: Pretty good at pressure.

2040
01:38:16,800 --> 01:38:19,120
Speaker 12: I think they they can handle a tough situation.

2041
01:38:19,560 --> 01:38:19,800
Speaker 3: Well.

2042
01:38:19,840 --> 01:38:21,320
Speaker 2: I mean, he gets wires and there's taking a lot

2043
01:38:21,320 --> 01:38:23,000
Speaker 2: of pressure off guys McLean and him.

2044
01:38:23,040 --> 01:38:26,040
Speaker 10: So it's I think he's he's really good in the clubhouse.

2045
01:38:26,080 --> 01:38:28,639
Speaker 10: I think he's going to bring a lot of good

2046
01:38:28,960 --> 01:38:29,840
Speaker 10: vibes on.

2047
01:38:30,000 --> 01:38:31,960
Speaker 2: The team, as long as none enough to get elbow

2048
01:38:32,040 --> 01:38:32,639
Speaker 2: chips were.

2049
01:38:32,479 --> 01:38:35,160
Speaker 10: Good, Keep the chips out of the elbow, keep everything

2050
01:38:35,920 --> 01:38:36,719
Speaker 10: everything solid.

2051
01:38:36,920 --> 01:38:39,120
Speaker 2: I heard you, I already had chips on his elbow,

2052
01:38:39,120 --> 01:38:42,120
Speaker 2: and I said, what what the tortilla Grippo's you got

2053
01:38:42,120 --> 01:38:45,800
Speaker 2: the let me see here, you got Fredo's, you got

2054
01:38:45,800 --> 01:38:50,120
Speaker 2: that jar that would have the wooded pepper, uh peanut,

2055
01:38:50,120 --> 01:38:54,800
Speaker 2: but pringles, and then you got what else lays there's

2056
01:38:54,960 --> 01:38:57,720
Speaker 2: uh uh ruffles.

2057
01:38:59,520 --> 01:39:01,240
Speaker 12: I'm trying to ruffle any feathers here.

2058
01:39:01,280 --> 01:39:05,680
Speaker 10: But Joe Burrow is making the headlines also because you're

2059
01:39:05,680 --> 01:39:07,680
Speaker 10: probably like, what is Joe Burrow up to in the

2060
01:39:07,680 --> 01:39:12,120
Speaker 10: off season. He's got Hollywood. We have lost him to Hollywood.

2061
01:39:12,560 --> 01:39:15,679
Speaker 10: He's hanging out with all the famous people now. After

2062
01:39:15,720 --> 01:39:17,599
Speaker 10: the Oscars the other day, he was seen out at

2063
01:39:17,640 --> 01:39:22,479
Speaker 10: a post Oscars party with Tate McCrae and Alex Earl,

2064
01:39:22,479 --> 01:39:25,720
Speaker 10: who is a very popular TikToker who was last seen

2065
01:39:25,880 --> 01:39:29,280
Speaker 10: with Tom Brady. So that's what our guy's getting into.

2066
01:39:29,400 --> 01:39:31,040
Speaker 2: Great just when football games stay healthy.

2067
01:39:31,439 --> 01:39:33,320
Speaker 12: I think he's staying pretty healthy in the off season.

2068
01:39:33,320 --> 01:39:34,040
Speaker 2: I really don't care.

2069
01:39:34,439 --> 01:39:36,960
Speaker 12: These girls are keeping him alive sure.

2070
01:39:37,479 --> 01:39:40,040
Speaker 10: Also, Geno Stone is happy to be back to a

2071
01:39:40,360 --> 01:39:43,080
Speaker 10: winning culture, is what he told media the other day

2072
01:39:43,120 --> 01:39:48,040
Speaker 10: about his signing with the Buffalo Bills. Be good to

2073
01:39:48,080 --> 01:39:49,800
Speaker 10: play in a winning culture atmosphere.

2074
01:39:50,320 --> 01:39:54,439
Speaker 2: Since you bring that down, you think, since he's got

2075
01:39:54,479 --> 01:39:56,120
Speaker 2: my Bills got proces, we.

2076
01:39:56,080 --> 01:39:58,120
Speaker 12: Don't miss you. How do you feel about Geno being

2077
01:39:58,120 --> 01:39:58,880
Speaker 12: a part of your team?

2078
01:39:58,920 --> 01:39:59,120
Speaker 6: Now?

2079
01:39:59,280 --> 01:40:04,360
Speaker 2: I told Ricky Chino I would I I know he

2080
01:40:04,439 --> 01:40:06,280
Speaker 2: makes the speech. Yes, I don't think he makes it

2081
01:40:06,320 --> 01:40:06,800
Speaker 2: through camp.

2082
01:40:07,080 --> 01:40:08,120
Speaker 12: I don't think so either.

2083
01:40:08,280 --> 01:40:09,880
Speaker 2: Yeah, he's got release all over him.

2084
01:40:09,920 --> 01:40:12,320
Speaker 10: Happy to see him out of here, a winning culture

2085
01:40:12,400 --> 01:40:14,120
Speaker 10: without ginostone here looking at it.

2086
01:40:14,200 --> 01:40:17,040
Speaker 2: But again in true Cincinnati fashion, Uh huh, watch him

2087
01:40:17,080 --> 01:40:19,639
Speaker 2: go ball out and before right, that's what happens.

2088
01:40:19,720 --> 01:40:20,040
Speaker 1: Uh huh.

2089
01:40:20,080 --> 01:40:22,960
Speaker 12: And Trey Hendrickson and with the with the Ravens.

2090
01:40:22,520 --> 01:40:24,880
Speaker 2: Four hundred tackles, six receptions.

2091
01:40:24,400 --> 01:40:27,280
Speaker 10: Which the Ravens have been nothing but annoying on social

2092
01:40:27,320 --> 01:40:30,040
Speaker 10: media about signing Trey Hendrickson. I think they've made forty

2093
01:40:30,040 --> 01:40:31,479
Speaker 10: five social media post about it.

2094
01:40:31,479 --> 01:40:32,479
Speaker 2: Well, let's yew that works out?

2095
01:40:32,560 --> 01:40:32,720
Speaker 5: Yeah?

2096
01:40:32,760 --> 01:40:33,599
Speaker 12: Will he stay healthy?

2097
01:40:33,960 --> 01:40:35,240
Speaker 2: You gave up a lot to get tread.

2098
01:40:35,400 --> 01:40:36,760
Speaker 10: Yeah, you can have him for what one or two

2099
01:40:36,840 --> 01:40:40,360
Speaker 10: games or an entire season seventeen plus, knowing the Ravens

2100
01:40:40,360 --> 01:40:41,439
Speaker 10: they won't get past seventeen.

2101
01:40:41,479 --> 01:40:43,000
Speaker 2: I love how you crap it on Trey Hendrickson.

2102
01:40:43,040 --> 01:40:47,559
Speaker 10: Now you're like I was over it, No, no, no, guy,

2103
01:40:47,920 --> 01:40:52,000
Speaker 10: I was over the whole tree hundred hundredson experiment at

2104
01:40:52,040 --> 01:40:54,439
Speaker 10: the beginning of the season, when he kept complaining about

2105
01:40:54,439 --> 01:40:56,760
Speaker 10: the condrag stuff, and then he got injured and we

2106
01:40:56,760 --> 01:40:57,519
Speaker 10: were winning without him.

2107
01:40:57,560 --> 01:40:58,439
Speaker 12: So I'm done.

2108
01:40:58,560 --> 01:40:59,720
Speaker 2: You're done. Good luck, you're done.

2109
01:40:59,760 --> 01:41:00,879
Speaker 12: Good luck with the Ravens.

2110
01:41:00,880 --> 01:41:01,320
Speaker 2: Good luck.

2111
01:41:02,040 --> 01:41:04,120
Speaker 12: Oh and good luck to my Miami RedHawks tonight.

2112
01:41:04,200 --> 01:41:10,720
Speaker 2: All right, she'd beat the Methodists. Smu baby, all right,

2113
01:41:10,960 --> 01:41:13,400
Speaker 2: the method man. All right, sir, release the snort report

2114
01:41:13,400 --> 01:41:15,960
Speaker 2: this morning on seven hundred dow catch her tired act

2115
01:41:16,040 --> 01:41:17,040
Speaker 2: over the Kid Crist Show.

2116
01:41:17,439 --> 01:41:18,519
Speaker 12: I will be tired tomorrow.

2117
01:41:20,080 --> 01:41:21,439
Speaker 2: She's got her Miami gear on.

2118
01:41:21,720 --> 01:41:23,280
Speaker 12: That's right, let's go right off.

2119
01:41:23,479 --> 01:41:24,880
Speaker 2: If they lose tonight.

2120
01:41:25,400 --> 01:41:27,000
Speaker 12: Then I'm done watching basketball.

2121
01:41:27,200 --> 01:41:27,599
Speaker 2: I'm done.

2122
01:41:27,680 --> 01:41:29,760
Speaker 10: This is the only thing keeping me intrigued. I'm not

2123
01:41:29,800 --> 01:41:33,040
Speaker 10: doing the bracket that Austin's running. I'm not getting involved

2124
01:41:33,040 --> 01:41:36,000
Speaker 10: with all that. I'm shifting focus one hundred percent into

2125
01:41:36,000 --> 01:41:36,920
Speaker 10: the Cincinnati Reds.

2126
01:41:37,000 --> 01:41:39,639
Speaker 2: Right around November. Does the Miami gear come back out

2127
01:41:39,840 --> 01:41:41,040
Speaker 2: or do they only when they win?

2128
01:41:42,880 --> 01:41:46,960
Speaker 12: Anyways? No, I'm I'm super proud of Miama Mater.

2129
01:41:47,080 --> 01:41:49,080
Speaker 10: This is a really exciting time and you've got people

2130
01:41:49,160 --> 01:41:51,679
Speaker 10: all over the country rooting for them. I mean, it's

2131
01:41:51,720 --> 01:41:54,760
Speaker 10: like a cool Cinderella story. So just keep going. Do

2132
01:41:54,840 --> 01:41:56,519
Speaker 10: it tonight, beat Tennessee on Friday.

2133
01:41:56,560 --> 01:41:59,280
Speaker 2: Let's go. We call her nickname around here is Rickshaw

2134
01:41:59,360 --> 01:42:01,240
Speaker 2: because she's Frontrunner.

2135
01:42:01,320 --> 01:42:04,960
Speaker 10: This is literally where I graduated from. I am the

2136
01:42:05,000 --> 01:42:06,480
Speaker 10: only Miami graden.

2137
01:42:06,200 --> 01:42:09,240
Speaker 2: This is for five years. This is the first time

2138
01:42:09,280 --> 01:42:11,640
Speaker 2: I've seen you. Never done thirty one and one. I

2139
01:42:11,680 --> 01:42:12,799
Speaker 2: can go front Runners.

2140
01:42:12,880 --> 01:42:14,439
Speaker 12: Of course we're going to talk about the red Ox.

2141
01:42:14,479 --> 01:42:16,439
Speaker 10: You and Riccoccino talked about the Red Hocks last week,

2142
01:42:16,479 --> 01:42:17,599
Speaker 10: and you have no ties to Miami.

2143
01:42:17,640 --> 01:42:19,440
Speaker 2: Whatsoe?

2144
01:42:19,720 --> 01:42:21,960
Speaker 10: You're the only time in Miami is that they played

2145
01:42:22,439 --> 01:42:25,599
Speaker 10: be Sew and the Red Hawks went on to beat

2146
01:42:25,640 --> 01:42:26,560
Speaker 10: the Falcons.

2147
01:42:26,360 --> 01:42:29,600
Speaker 12: That's maction baby, Alright, alright, goodbye.

2148
01:42:29,240 --> 01:42:33,120
Speaker 2: Sarah and her Dusty Alumni shirt. Seven hundred WL Twitter

2149
01:42:33,200 --> 01:42:33,800
Speaker 2: Cincinnati