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Speaker 1: Now your host Hennbrew on News Radio seven hundred WLW.

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Speaker 2: I'm a Saturday welcome in and good afternoon, d all

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Speaker 2: you lovers out there, Happy Valentine's Day. And I can't

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Speaker 2: tell you what to do, can't help you if you

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Speaker 2: haven't already addressed it. You're on your own on that one.

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Speaker 2: But nevertheless, we press on here with a number of

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Speaker 2: big topics, keeping our eyes on that investigation that continues

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Speaker 2: out in Arizona for the mother of Savannah Guthrie, Nancy Guthrie.

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Speaker 2: It seems to have developed into a real cluster among

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Speaker 2: the police forces out there, both the FEDS and the locals.

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Speaker 2: But nevertheless, we're keeping our eye on that as well

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Speaker 2: as what's going on in Washington. We're in the middle

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Speaker 2: of another government shutdown, partial government shutdown, and this is

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Speaker 2: the DEM's way of getting back at the Department of

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Speaker 2: Homeland Security. They think they're hurting ICE, they think they're

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Speaker 2: hurting the structure of ICE, but in actuality, what they're

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Speaker 2: hurting their people that work for FEMA and the people

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Speaker 2: that rely on FEMA and the TSA. And you have

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Speaker 2: to wonder what the endgame is for them and whether

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Speaker 2: or not they've got research that tells them this trick

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Speaker 2: that they pulled last Paul really worked in their favor.

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Speaker 2: So we're keeping an eye on that. We're keeping an

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Speaker 2: eye also on the Save Act, which is voter ID

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Speaker 2: one ID one vote. Seems like a logical thing. Unfortunately

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Speaker 2: they can't even get all of the GOP on board

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Speaker 2: with this. So what's going on in Washington plus the

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Speaker 2: usual hilario that ensues out there even when you don't

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Speaker 2: have hot button issues like this. For that, we turn

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Speaker 2: to our good friend, the former US congressman, the man

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Speaker 2: who still ought to be in Congress, but that's another story.

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Speaker 2: It's our good buddy, Jim Ornacy. How are you on

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Speaker 2: this glorious Saturday.

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Speaker 3: Yeah, I can. I'm doing great.

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Speaker 4: How are you.

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Speaker 2: I'm well, you're not in Washington. I think you should be,

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Speaker 2: But you're happy and that's fine. And that's all the founts.

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Speaker 2: The Save Act, it seems logical. It's an eighty twenty

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Speaker 2: prop is zition. Eighty percent of the country thinks it

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Speaker 2: makes sense that only people that are in this country

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Speaker 2: legally should vote. But yet you can't even get if

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Speaker 2: you're the GOP and Rakowski or Tillis or mrcadell design

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Speaker 2: onto this thing. What's the problem and why is this

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Speaker 2: like again hurting tats for Senator John Thune.

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Speaker 3: Well, again, you're right, the majority of people believe you

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Speaker 3: should have an ID. I believe you should have an ID.

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Speaker 3: But here's the problem. The Constitution says that the elections

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Speaker 3: should be handled by the state and there should be

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Speaker 3: no federal interference. There was a reason for that. Our

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Speaker 3: founders did not want the people in the federal government

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Speaker 3: to get involved in state elections. So federal elections run

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Speaker 3: by the states. The states are tasked with running all elections,

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Speaker 3: including federal elections. That's a constitutional issues. So the minute

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Speaker 3: the federal government says we want you to do a

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Speaker 3: ID an ID, the federal government is getting involved in

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Speaker 3: state elections. And that's the real hold up. Now it's

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Speaker 3: a political issue. Look, I mean when I ran for governor,

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Speaker 3: I said we should have IDs, the state of Ohio

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Speaker 3: should have IDs, and quite frankly, the state of Ohio

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Speaker 3: finally came through and passed the bill saying you have

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Speaker 3: to have an ID. So that's the issue. I think

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Speaker 3: there's another issue involved here too, ken is that some

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Speaker 3: of these well I know the Democrats already believe and

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Speaker 3: some of these Republicans believe that President Trump is trying

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Speaker 3: to meddle into the November election. In fact, he's already

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Speaker 3: come out and said he's going to He doesn't care

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Speaker 3: whether they pass the Safe Actor or not. I mean,

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Speaker 3: it's some of the things he says just causes himself

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Speaker 3: more problems. He doesn't care what Congress does. He's going

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Speaker 3: to be He's going to have the federal government overseeing

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Speaker 3: all elections in November. So this is another little issue

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Speaker 3: that causes a little bit of an irk for Republicans

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Speaker 3: in Washington. So that's really it's all political. It's a

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Speaker 3: common sense issue, but it's a constitution issue at the

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Speaker 3: same time if.

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Speaker 2: We extract the Constitution, which I know we cannot because

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Speaker 2: of what you just outlined to me. It seems like

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Speaker 2: the game here for the GOP is not necessarily what

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Speaker 2: happens in November, but what happens when, And it will

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Speaker 2: be inevitable that the Democrats take control and they'll in

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Speaker 2: some way, shape or form declare amnesty for all of

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Speaker 2: these illegals that enter this country under the Joe Biden watch,

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Speaker 2: and therefore they would all be in the Democrat's mind

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Speaker 2: beholding the Democrats and all of a sudden you have redistricting,

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Speaker 2: You're losing seats in the House, and I suppose the

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Speaker 2: mind of some of these people that are Republican and

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Speaker 2: in the Senate, you're never going to win another election again.

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Speaker 2: It seems to me this is a play for the future,

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Speaker 2: and maybe not immediately in twenty twenty six, Am I wrong?

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Speaker 3: Well, keep in mind one of the reasons why Republicans

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Speaker 3: can't get things passed in the Senate is you need

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Speaker 3: sixty votes, and you would need sixty votes to get amnesty.

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Speaker 3: You would need sixty votes to change things, so that

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Speaker 3: Democrats aren't going to get that either, which is one

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Speaker 3: of the reasons why we should never eliminate the filibuster role.

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Speaker 3: A sixty of sixty going down to fifty. Even though

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Speaker 3: there's Republicans out there like Senator Marino and others from

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Speaker 3: Ohio saying we should eliminate the filibuster, I could tell

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Speaker 3: you what that will be is a whipsaw reaction because

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Speaker 3: now you're right, Democrats will take over. They'll pass something

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Speaker 3: in the House, they'll pass something in the Senate if

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Speaker 3: they and it'll be done, especially if they can get

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Speaker 3: a Democrat president. So that filibuster rule, that sixty seat

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Speaker 3: rule does allow for people, forces people to have to

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Speaker 3: walk together to get certain things done, which actually saves

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Speaker 3: will save us from Democrats doing that down the road.

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Speaker 2: Well, there's two filibusters, right. There's one where the senator

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Speaker 2: gets up, where the party that opposes gets up and

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Speaker 2: talks NonStop. I mean I pay money to see Corey

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Speaker 2: Booker do that as well as Chuck Schumer. I think

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Speaker 2: that could be wildly entertaining to see if Schumer could

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Speaker 2: stay on his feet for any length of time. But

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Speaker 2: then there's also the silent filibuster, which is in some

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Speaker 2: circles refer to as the zombie filibuster, where you don't

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Speaker 2: have to get up and go through that particular theatric motion.

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Speaker 2: But what you get from that theatric motion, is you

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Speaker 2: get senators up there explaining exactly why they oppose this thing.

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Speaker 2: And that's valuable. I would think to anyone that runs

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Speaker 2: against that senator come election time, I'd rather see that

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Speaker 2: than just say no, we're not going to we're not

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Speaker 2: going to do that. That seems like the old boy

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Speaker 2: network in Washington, the silent filibuster. Am I wrong again?

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Speaker 3: No, No, you're right. But I think that's why the

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Speaker 3: sixty votes is so important, because it forces people to

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Speaker 3: get up and say, here's why I am not voting

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Speaker 3: for this. But but remember it's a constitutional issue too,

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Speaker 3: and I ken for me. I mean, I talked to

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Speaker 3: so many people, Ah, and Acy, you're terrible, you know,

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Speaker 3: and I go listen. I support the Constitution. I understand

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Speaker 3: that there are some things we don't like in the Constitution.

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Speaker 3: But now a filibuster, interesting enough, is not a constitutional issue.

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Speaker 3: That's a Senate rule that has been tried to be

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Speaker 3: removed for years, and you need sixty votes to remove it,

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Speaker 3: which is I take it back in your fifty one

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Speaker 3: votes to remove it. And yet people have avoided removing

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Speaker 3: it because they know the damage it will cost.

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Speaker 2: So you don't anticipate Thoon making a move on this,

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Speaker 2: you know. I mean right now, they've allegedly got fifty votes,

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Speaker 2: and Vance would break the tie. I think Thune would

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Speaker 2: just as soon see it die and not at all

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Speaker 2: touch touch the filibuster to get to the Save Act

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Speaker 2: and pass it. You don't sense any of this is

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Speaker 2: going to happen that's the drift I'm getting here, right.

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Speaker 3: I don't think the Save Act makes it, And again

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Speaker 3: it's because of the sixty vote threshold needed, and so no,

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Speaker 3: it's it will die. Like I always said this in Washington,

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Speaker 3: we sent almost four hundred bills over from the House

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Speaker 3: to the Senate while I was there annually, only to

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Speaker 3: see about seventeen of them get through. I mean, the

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Speaker 3: Senate is a place where bills die.

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Speaker 2: So okay. So if it's an eighty twenty proposition and

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Speaker 2: Thune doesn't, in the minds of the American public, eighty

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Speaker 2: percent think that there should be this Save Act and

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Speaker 2: there should be voter id okay, and understanding the Constitution

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Speaker 2: doesn't allow national elections. It's eighty twenty. So the people

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Speaker 2: that are opposing this, McConnell's done. I think Tillis is well,

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Speaker 2: Tillis is retiring to Murkowski. I still don't know how

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Speaker 2: that woman holds on to receipt in Alaska. But nevertheless,

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Speaker 2: politically it certainly would hurt at least Murkowski, and who

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Speaker 2: knows who else bails on this thing if it ever

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Speaker 2: gets to the floor of the Senate. There's no political

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Speaker 2: ramifications on this. You got eighty percent of the country

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Speaker 2: thinks it's a good idea.

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Speaker 3: Well, if eighty percent of the people do, and again,

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Speaker 3: I think it's a good idea to have voter id

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Speaker 3: I don't think it's a good idea to violate the Constitution.

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Speaker 3: So I think in the end, I think the states

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Speaker 3: are the ones who should force this issue. And that's

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Speaker 3: the way I would have explained it. If I was

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Speaker 3: a no vote on the Senate floor, I would say, look,

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Speaker 3: it is an eighty percent vote, but it's if you

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Speaker 3: ask people how many people think we should violate the Constitution,

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Speaker 3: it's probably eighty percent no as well. So the problem

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Speaker 3: is the nation, and I think that's going to be

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Speaker 3: the key.

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Speaker 2: All right. So we've got a partial government shutdown now again,

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Speaker 2: and this is a reaction by the Democrats to what

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Speaker 2: was transpiring in Minnesota with ICE. ICE is still fully funded.

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Speaker 2: This shutdown affects other aspects of the government, like FEMA,

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Speaker 2: like the TSA. There must be some research out there,

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Speaker 2: Jim that's telling the Democrats, Hey, what you did in

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Speaker 2: the fall really wasn't all that bad. There are some

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Speaker 2: people that really like it. Certainly their base likes it,

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Speaker 2: but it really didn't politically seem to affect them at all,

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Speaker 2: and maybe that's why they're playing this card again. Is

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Speaker 2: there any thought that that might be what's going on here?

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Speaker 3: Well, Ken, absolutely, And I think when I'm on your show,

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Speaker 3: I always say politics gets involved in anything. Who has

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Speaker 3: the leverage makes the decisions, And you're seeing who has

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Speaker 3: the leverage because you're seeing even President Trump backing down,

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Speaker 3: he's pulling ice out of Minnesota. He's moving in a

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Speaker 3: whole different direction because the polling has showed that this

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Speaker 3: has been a disaster for President Trump the way it's handled.

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Speaker 3: What's interesting, polling shows eighty percent believe that we should

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Speaker 3: get illegal criminal aliens out of our country. That's a given.

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Speaker 3: The problem is the stretch that President Trump has gone

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Speaker 3: too far, and the independents are making that decision. So

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Speaker 3: even though President Trump's support among Republicans has drifted down

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Speaker 3: a small amount, I think he's it. Eighty five percent

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Speaker 3: of Republicans still eighty five eighty six believe one hundred

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Speaker 3: percent in what he's doing. Of course, Democrats almost ninety

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Speaker 3: eight percent don't believe in what he's doing. But can

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Speaker 3: the independence the biggest swath of voters, which is now

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Speaker 3: forty five percent nationally, seventy percent in Ohio. They have

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Speaker 3: decided that President trum is wrong and this, the Ice issue,

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Speaker 3: has caused the Independence to go even further on. I

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Speaker 3: think one time when we talked, I said the support

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Speaker 3: among Independence for President Trump was around thirty four percent.

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Speaker 3: I think the most recent poll that I've seen and

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Speaker 3: we've done is about twenty eight percent. He is losing

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Speaker 3: significant ground with Independence. So that's why you're seeing him

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Speaker 3: move in a different direction. I mean, who would have

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Speaker 3: ever thought he would have said, let's pull everybody out

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Speaker 3: of Minneapolis. But they're they're, they're they're pulling out.

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Speaker 2: Yeah, and and and it's it's amazing how he and

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Speaker 2: his administration cannot control the narrative. They seem like bright people.

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Speaker 2: They may not be and you've mentioned this before, as

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Speaker 2: good as the people that surrounded him in his first term,

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Speaker 2: but they seem like bright people. I mean, here we

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Speaker 2: go GDP above four percent, it's probably going to be

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Speaker 2: above four percent for two consecutive quarters. I think with

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Speaker 2: Obama it never got above two percent in any quarter

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Speaker 2: in his eight years. There would this be better off

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Speaker 2: and the GDP, I mean that directly affects everything in

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Speaker 2: the economy, jobs, wages, everything. Would it be better off

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Speaker 2: in your opinion without tariffs?

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Speaker 4: Well?

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Speaker 3: Absolutely. And by the way, you Ken, one of the

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Speaker 3: problems I have, and it's a dirty little secret that

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Speaker 3: happens in Washington. You got to remember the administration does

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Speaker 3: control what comes out of Washington when it comes to

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Speaker 3: some of these numbers, and they do make sure that

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Speaker 3: things are eliminated. Some of the bad stuff has not

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Speaker 3: talked about. And it's not just President Trump, it's President Bush,

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Speaker 3: President Obama, you know, President Biden's people. They all do it.

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Speaker 3: They make the numbers come out looking better because they'll say, hey,

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Speaker 3: this number is great, but they may have left out

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Speaker 3: food price or whatever, and you don't know that. And

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Speaker 3: then when you go back like job growth, I used

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Speaker 3: to always chuckle, if you go back and look at

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Speaker 3: what was reported under Obama and even President Trump of

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Speaker 3: how many jobs were produced in a certain quarter, and

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Speaker 3: then you go six months later and look at the revisions, which,

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Speaker 3: by the way, Ken, nobody ever tells you, hey, those

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Speaker 3: numbers were revised. Their history, they don't talk about it anymore.

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Speaker 3: But if you go back and looked at the revised numbers,

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Speaker 3: you'll see some really interesting things. You'll see job numbers

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Speaker 3: that were said we've created two hundred thousand jobs down

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Speaker 3: to only sixty thousand six months later. Because the narrative

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Speaker 3: is controlled by Washington, DC, And it's one of the

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Speaker 3: things that frustrates me because you really do need independence

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Speaker 3: to get real data. And that leads me to what

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Speaker 3: you just said, would look at I mean, my wife

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Speaker 3: saw that report and she goes, well, that's good sign.

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Speaker 3: I go, you just came back from the grocery store

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Speaker 3: and your cart was four hundred and twenty seven dollars

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Speaker 3: the bats on. Yeah, you know, bananas are up twenty

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Speaker 3: one percent, coffee is up eleven percent. I m had

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Speaker 3: have told you I went looking for a new car.

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Speaker 3: I mean the new car prices are unreal because they've

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Speaker 3: been hit with tariff. So we can say everything's good,

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Speaker 3: but the consumer's not feeling it.

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Speaker 2: Didn't Burnie Mournos sell cars. Why did you? Why didn't

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Speaker 2: you go to him? He probably got could have gotten

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Speaker 2: you a new car.

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Speaker 5: I used to sell cars too, so I know a

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Speaker 5: lot of people. In fact, I have to chuckle. I

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Speaker 5: was at a Chevy. I had a Chevy dealer for years.

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Speaker 5: I said to the Chevy dealer, how did a tahoe

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Speaker 5: get the ninety five thousand dollars? I used to sell

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Speaker 5: them for sixty some thousand, And they looked at me,

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Speaker 5: go explain the federal government.

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Speaker 2: Oh my gosh. All right, Jim, it's always great when

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Speaker 2: we get you on the show. We'll keep our eye

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Speaker 2: on the Save Act and also an eye on the Constitution,

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Speaker 2: and we'll see You're right. I think the more Trump

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Speaker 2: opens his mouth, the worse it hurts some. But we'll

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Speaker 2: see what he has to say about all of this.

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Speaker 2: As for you, have a great weekend, and you know

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Speaker 2: we'll visit down the road. But for your time today,

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Speaker 2: Thank you, Jim.

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Speaker 3: You as well. You have a great day.

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Speaker 2: Jim or Dacy love having him on the show, just absolutely.

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Speaker 2: I mean, he is focused the rhetoric. Sometimes weeding through

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Speaker 2: it is crazy. The Save Act, Yes, everybody that's here

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Speaker 2: legally should be the only people that should be allowed

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Speaker 2: to vote. The problem is that's a state's issue, not

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Speaker 2: a national issue. And so we've got a little bit

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Speaker 2: of a show vote going on in Washington, DC right now.

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Speaker 2: With the Save Act. They're not going to get to

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Speaker 2: sixty soon. Has no appetite to end the filibuster, although

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Speaker 2: I think everybody should have an appetite to end the

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Speaker 2: silent filibuster. And so you're not going to get sixty

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Speaker 2: votes on this thing, and it will continue to be

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Speaker 2: a political issue, and it'll be something that the Republicans

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Speaker 2: will campaign on because they'll say, hey, you know the Democrats, Yeah,

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Speaker 2: they think every illegal in this country should have a

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Speaker 2: chance to vote, which is hyperbole. And the Democrats will

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Speaker 2: say every out here that's in this country should vote,

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Speaker 2: which is hyperbole. And somewhere in the middle, hopefully that's

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Speaker 2: where everybody meets. Twelve twenty five on this Saturday, Xavier

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Speaker 2: basketball is on the horizon. All of that and more

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Speaker 2: on seven hundred WLW called forty one News Radio seven

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Speaker 2: hundred WWYM ken Brew some of the hour one six.

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Speaker 2: China is killing people simply to harvest their organs. I

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Speaker 2: have someone who has come up with an expose on

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Speaker 2: this and exactly what China is up to. But apparently

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Speaker 2: organ harvesting continues to be a major problem in the CCP.

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Speaker 2: We'll get into that at one six and then at

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Speaker 2: one thirty six. Today a mother is letting her six

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Speaker 2: year old get botox sixteen years old, in getting botox

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Speaker 2: because the kid had bad self esteem? Is that the

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Speaker 2: way you do it? Is that the way you do it?

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Speaker 2: And then at two six the latest on the Guthrie investigation.

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Speaker 2: There's been a lot of talk, spent, a lot of peaks,

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Speaker 2: a lot of valleys. Last night, it looked like they

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Speaker 2: were onto something. Now they're not. Now it appears that

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Speaker 2: there is a turf war between the county sheriff and

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Speaker 2: the FBI. And if that hasn't happened before in police work,

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Speaker 2: then you haven't been paying attention, because I think it

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Speaker 2: happens all the time. What's the end goal here for

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Speaker 2: the county sheriff, who at times in this investigation, to

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Speaker 2: me at least, has appeared to be way over his head,

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Speaker 2: And that has nothing to do with his physical stature.

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Speaker 2: I just think he's he's protecting his turf and maybe

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Speaker 2: impeding the investigation. We'll get into that at two six today.

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Speaker 2: As we say in the business, stay tuned. Nick Castianos,

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Speaker 2: remember him, Nick Castianos. One time Cincinnati Reds opted out

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Speaker 2: here after playing a couple of seasons cut by the Phillies,

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Speaker 2: and now has signed on with the San Diego Padres

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Speaker 2: one year deal veteran minimum of seven hundred and eighty thousand.

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Speaker 2: But the better news for Castianos is the Phillies still

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Speaker 2: owe him twenty million, so he'll be making twenty million

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Speaker 2: points seven eight oh in twenty twenty six, so we'll see.

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Speaker 2: There was really no I mean, I think for a

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Speaker 2: hot minute everybody looked at Castianos and said, you know,

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Speaker 2: maybe he could come back to Cincinnati, and then then

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Speaker 2: reality said, in yeah, seven eighty that would have been

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Speaker 2: a working man's price. But I mean, would it have

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Speaker 2: been a price, would it have been a posit? No, no,

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Speaker 2: just it would not. Anyway, congratulations to him. He found

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Speaker 2: a landing spot at the Olympics. Speed skating American Jordan

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Speaker 2: Stoles is now a two time Olympic gold medalist. He

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Speaker 2: wants four at the Milan Games. He's got two. He

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Speaker 2: won the five hundred meters today. He won the one

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Speaker 2: thousand meters a couple of days ago. Right now, Eric,

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Speaker 2: I'm sorry, Jordan Stoles joins Eric Heiden, the American who

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Speaker 2: did it as part of his record sweep of all

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Speaker 2: five individual speed skating events at the Lake Placid Games.

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Speaker 2: Right now is only the second man to compete in

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Speaker 2: the five hundred and one thousand double at one Olympics,

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Speaker 2: and he's trolled them for more. Big news yesterday is

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Speaker 2: that American ice skater Ilia Milanin, who looks so comfortable

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Speaker 2: and so in charge in his short program two or

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Speaker 2: three days ago, get on the ice yesterday and as

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Speaker 2: they say sometimes in sports, the moment got too big

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Speaker 2: for him and he appled up. He he just could

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Speaker 2: not handle the moment. And as beautiful and as graceful

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Speaker 2: as he skated earlier in the Olympics and all the

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Speaker 2: training he put in in the last four years, he

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Speaker 2: was not good last night. Fell twice, cut one jump short,

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Speaker 2: and in the moment with the spotlight on him, he

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Speaker 2: just he just couldn't handle it, said so himself afterwards.

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Speaker 2: Here is the ice skater after he went from first

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Speaker 2: in the standings, first, the gold medal first, he went

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Speaker 2: from first to eighth.

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Speaker 6: It was a weird feeling just going into the program.

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Speaker 6: I just had so many thoughts and memories flood right

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Speaker 6: before I got into my starting polls, and almost I

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Speaker 6: think it maybe overwhelmed me a little bit.

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Speaker 2: You know, I've been through a lot in my life.

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Speaker 2: For a lot of you know, bad and.

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Speaker 6: Good experiences, so just you know, I feel like just

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Speaker 6: the pressure of especially being that, you know, Olympic gold

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Speaker 6: medal hopeful, was just it's just something I can't control.

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Speaker 2: Now I see that, you know what that goes back to.

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Speaker 2: It goes back to focus, and great athletes will tell

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Speaker 2: you the most important thing before any game, any match,

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Speaker 2: any competition is focus. And I felt sorry for the kid.

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Speaker 2: He just lost focus. And it was if you listen

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Speaker 2: to the play by play from I don't know who

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Speaker 2: was on there from NBC. I think one of them

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Speaker 2: was Scotty Hamilton. You just you could just hear just

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Speaker 2: the the audible groans from them because I know the

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Speaker 2: kid was so good and this was his moment and

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Speaker 2: he couldn't handle it. So he did help the United

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Speaker 2: States in the team event gained the gold medal, and

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Speaker 2: there's some solace in that, I'm sure for him, but

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Speaker 2: felt horrible for him, really did. The Miami RedHawks are

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Speaker 2: twenty five and oh after last night's ninety to seventy

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Speaker 2: four win of over Ohio. The Bobcats were never in

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Speaker 2: this game. It looked like men against boys. Peter Souter

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Speaker 2: twenty points last night for the RedHawks. He was he

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Speaker 2: is incredible. This team is incredible. Twenty five and oh,

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Speaker 2: Travis Steel, the head coach, after the game, you can

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Speaker 2: still see areas of his team that needs improving.

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Speaker 7: Scored ninety. We got to get these turnovers just the

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Speaker 7: hair down. Now you're gonna look at it and say, hey,

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Speaker 7: we only had nine turnovers. We I'd like to get

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Speaker 7: that thing about seven or six and we'll start scoring

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Speaker 7: about one hundred.

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Speaker 2: But that's still a room for improvement.

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Speaker 7: But I think our defense is trending in the right

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Speaker 7: direction here late, which I've been really really focused on.

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Speaker 2: But definitely got a contine to take care of that ball. Yeah. Well, so,

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Speaker 2: like I said, sooner gave him twenty. Brent Bryant had

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Speaker 2: twenty one. Thirteen of those were on free throws, and

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Speaker 2: Briant was asked after the game if the team has

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Speaker 2: any modo. I mean, it's the only unbeaten men's Division

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Speaker 2: one college basketball team out there still can climb to

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Speaker 2: hire in the polls in twenty three and so they

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Speaker 2: asked Brian after the game, is this team have a model?

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Speaker 2: Rillying crying.

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Speaker 8: Couch steals a million of them. But if I mean,

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Speaker 8: I'm gonna get laughed at for this because I pick

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Speaker 8: it often. But one that he's using since I've been

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Speaker 8: here in day one is the victory favorites the aggressor.

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Speaker 8: He's just tell us in the locker room how he

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Speaker 8: felt that we were the aggressor the aggressor tonight. And

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Speaker 8: I could say that that shows the rebound battle of

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Speaker 8: the just different toughness places that we had tonight.

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Speaker 2: But for the RedHawks, the beat goes on twenty five.

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Speaker 2: And oh, I heard Joel at Ardi, the ESPN bracket guy,

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Speaker 2: bracketologist guys made a cottage industry out out of predicting

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Speaker 2: the field of sixty eight. And he says, well, you know,

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Speaker 2: if they go unbeaten, then they win the conference tournament,

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Speaker 2: they could be an eight or a nine seed. And

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Speaker 2: I'm looking at this, dude, I'm saying an eight or

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Speaker 2: nine seed. So you really want to do that to them?

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00:25:03,960 --> 00:25:06,080
Speaker 2: And so then they have to if they win, they

430
00:25:06,119 --> 00:25:10,320
Speaker 2: have to face the number one seed. Uh, but that's it.

431
00:25:10,440 --> 00:25:12,760
Speaker 2: And then he said, if they look, you know, they

432
00:25:12,880 --> 00:25:15,520
Speaker 2: they they lose the game between now and the end

433
00:25:15,560 --> 00:25:18,560
Speaker 2: of the season, they'll probably maybe go to Dayton. So

434
00:25:18,640 --> 00:25:21,879
Speaker 2: you can see there's no respect nationally for what Miami's doing.

435
00:25:23,040 --> 00:25:25,439
Speaker 2: Travis Deele is more concerned about what's going on inside

436
00:25:25,440 --> 00:25:26,040
Speaker 2: his program.

437
00:25:26,400 --> 00:25:29,480
Speaker 7: It's going to service really well move into into March,

438
00:25:29,880 --> 00:25:32,359
Speaker 7: right because we've been in every situation and our guys

439
00:25:32,359 --> 00:25:35,600
Speaker 7: have the ultimate belief which is so powerful that we're

440
00:25:35,600 --> 00:25:37,280
Speaker 7: gonna win every game and they.

441
00:25:37,200 --> 00:25:38,560
Speaker 2: Can execute in those moments.

442
00:25:38,920 --> 00:25:40,640
Speaker 7: But I do think, and it's like I told our guys,

443
00:25:40,760 --> 00:25:44,679
Speaker 7: if our defense could take the next step, which I

444
00:25:44,680 --> 00:25:47,280
Speaker 7: think it has over the last four games, you're gonna

445
00:25:47,320 --> 00:25:49,520
Speaker 7: start seeing us. The spurt ability that we have, the

446
00:25:49,600 --> 00:25:52,360
Speaker 7: runs that we can go on are going to be massive.

447
00:25:52,200 --> 00:25:56,240
Speaker 2: Like that word spurt ability. Who doesn't want spurt ability

448
00:25:56,280 --> 00:26:00,679
Speaker 2: in their life, particularly if you're a basketball team. We

449
00:26:00,720 --> 00:26:03,600
Speaker 2: have Marquette and Xavier here today two thirty is the

450
00:26:03,640 --> 00:26:06,320
Speaker 2: pregame show, and then Joe and Byron have all the

451
00:26:06,359 --> 00:26:11,080
Speaker 2: play by play at three, Marquette nine and sixteen, Savior's

452
00:26:11,119 --> 00:26:13,359
Speaker 2: twelve and twelve. After that loss to Saint John's the

453
00:26:13,400 --> 00:26:16,960
Speaker 2: other night, Trey Carroll continues to impress me. I don't

454
00:26:16,960 --> 00:26:20,080
Speaker 2: know if he's impressing you. He impresses me. It's not

455
00:26:20,280 --> 00:26:23,600
Speaker 2: just the minutes he's going over thirty two a game,

456
00:26:23,680 --> 00:26:28,000
Speaker 2: but he's delivering points eighteen. He's you know, he's not

457
00:26:28,080 --> 00:26:30,359
Speaker 2: afraid to rebound nor he should not be five to

458
00:26:30,440 --> 00:26:33,960
Speaker 2: seven five point seven rebounds so far this season. When

459
00:26:33,960 --> 00:26:38,200
Speaker 2: he's hot, he's hot. And after that loss at Saint

460
00:26:38,320 --> 00:26:41,080
Speaker 2: John's a couple of nights ago, middle of last week,

461
00:26:42,160 --> 00:26:45,800
Speaker 2: Richard Patino was asked about Trey Carroll, and I like

462
00:26:45,880 --> 00:26:47,560
Speaker 2: what he had to say about the guy. I really did,

463
00:26:47,560 --> 00:26:49,240
Speaker 2: because I like Carrol. I like his game.

464
00:26:49,760 --> 00:26:51,639
Speaker 9: We really really liked him in the portal. We just

465
00:26:51,640 --> 00:26:55,960
Speaker 9: thought he was a very productive player. He's a great kid,

466
00:26:56,119 --> 00:27:00,600
Speaker 9: and he's a unique score, you know, kind of take

467
00:27:00,600 --> 00:27:03,520
Speaker 9: you off the balance. He can dribble you down. He

468
00:27:03,560 --> 00:27:06,760
Speaker 9: can go left handed and go right hand. So very

469
00:27:06,880 --> 00:27:09,280
Speaker 9: very grateful that, you know, he's finishing in his career

470
00:27:09,280 --> 00:27:09,640
Speaker 9: with us.

471
00:27:09,800 --> 00:27:12,200
Speaker 2: So that's a three o'clock tip. You'll hear it here

472
00:27:12,280 --> 00:27:17,800
Speaker 2: on seven hundred WLW. Meanwhile, in Florida, in Gainesville, the

473
00:27:17,920 --> 00:27:22,560
Speaker 2: eighteen and six Florida Gators welcome in Mark Pope's seventeen

474
00:27:22,720 --> 00:27:27,720
Speaker 2: and seven University of Kentucky Wildcats. Now the Cats have

475
00:27:27,880 --> 00:27:31,720
Speaker 2: I mean, if you watch Kentucky basketball every game's an adventure.

476
00:27:31,880 --> 00:27:35,440
Speaker 2: Something happens, they fall behind the rally, they get the lead,

477
00:27:35,480 --> 00:27:38,320
Speaker 2: they lose the lead, they win the game. Florida is

478
00:27:38,480 --> 00:27:42,560
Speaker 2: a physical basketball team. They will beat you up. They

479
00:27:42,600 --> 00:27:46,400
Speaker 2: have beaten up a lot of teams. And so they

480
00:27:46,400 --> 00:27:49,200
Speaker 2: were asking Mark Pope about this, they being the media.

481
00:27:49,320 --> 00:27:52,080
Speaker 2: Then in Lexington, they were asking Mark Pope about this,

482
00:27:52,320 --> 00:27:55,800
Speaker 2: about the Gators and about this game. The tips off

483
00:27:55,840 --> 00:28:01,199
Speaker 2: at three o'clock today in Gainesville, Florida, Florida. That's a

484
00:28:01,240 --> 00:28:02,280
Speaker 2: lot of issues.

485
00:28:03,359 --> 00:28:05,080
Speaker 10: You know, I don't know if they're the biggest front

486
00:28:05,080 --> 00:28:07,200
Speaker 10: line in the country, but they're definitely the most experienced

487
00:28:07,240 --> 00:28:13,120
Speaker 10: in tenured and have the most winning under their belts.

488
00:28:13,240 --> 00:28:15,800
Speaker 10: They know exactly who they are, they know exactly how

489
00:28:15,840 --> 00:28:20,119
Speaker 10: they do this, and they're a dominant force. You know,

490
00:28:20,160 --> 00:28:22,920
Speaker 10: what they've done the last several weeks in the league

491
00:28:22,960 --> 00:28:25,480
Speaker 10: has been really impressive, just the margin and victory. They're

492
00:28:25,480 --> 00:28:29,080
Speaker 10: really dominating opponents and they do it with this front line.

493
00:28:29,280 --> 00:28:33,760
Speaker 2: Yeah, their front line is massive in a lot of ways.

494
00:28:33,800 --> 00:28:38,200
Speaker 2: It reminds this is not a comparison. Please, Well you

495
00:28:38,360 --> 00:28:40,800
Speaker 2: just said that. No, it's not a comparison. But if

496
00:28:40,800 --> 00:28:44,560
Speaker 2: you watch the Pistons played back in the eighties. It's

497
00:28:44,640 --> 00:28:47,720
Speaker 2: kind of like the same thing. They really don't care

498
00:28:48,400 --> 00:28:51,280
Speaker 2: they get whistled. They get whistled. I think that'll be

499
00:28:51,320 --> 00:28:54,920
Speaker 2: a fun game too. Three o'clock tip. You got UC

500
00:28:55,280 --> 00:29:00,920
Speaker 2: playing tomorrow at noon at the Shoemaker Center Go Arena

501
00:29:01,040 --> 00:29:04,840
Speaker 2: at noon against Utah. Utah's nine to fifteen. You see

502
00:29:04,880 --> 00:29:09,600
Speaker 2: is thirteen and twelve. NKU is off until Wednesday of

503
00:29:09,720 --> 00:29:12,960
Speaker 2: next week when they play Perdue, Fort Wayne and the

504
00:29:13,000 --> 00:29:16,320
Speaker 2: good old Boys. NASCAR is on the track this weekend

505
00:29:16,360 --> 00:29:19,120
Speaker 2: with a Daytona five hundred. And here's this breaking news

506
00:29:19,160 --> 00:29:23,320
Speaker 2: that just dropped a few minutes ago. NASCAR is moving

507
00:29:23,360 --> 00:29:27,640
Speaker 2: the start of the Daytona five hundred up one hour

508
00:29:27,760 --> 00:29:31,920
Speaker 2: because of the threat of inclement weather in that part

509
00:29:31,920 --> 00:29:34,600
Speaker 2: of Florida. The green flag now scheduled to drop at

510
00:29:34,680 --> 00:29:40,719
Speaker 2: two thirteen Eastern time tomorrow at the Daytona International Speedway.

511
00:29:42,120 --> 00:29:44,480
Speaker 2: And William Byron is I'm sure a lot of people

512
00:29:44,520 --> 00:29:46,480
Speaker 2: know William Byron is going to try to become the

513
00:29:46,480 --> 00:29:49,280
Speaker 2: first driver in history to win the five hundred in

514
00:29:49,400 --> 00:29:53,360
Speaker 2: three consecutive years. So again, if you're planning your Sunday

515
00:29:53,400 --> 00:29:56,000
Speaker 2: around the Daytona five hundred, make sure you're there an

516
00:29:56,000 --> 00:30:00,280
Speaker 2: hour earlier. Now to thirteen four, the green flag still

517
00:30:00,320 --> 00:30:03,920
Speaker 2: to come. Trying to continues what appears to be one

518
00:30:03,920 --> 00:30:07,120
Speaker 2: of the most heinous things that has ever happened to mankind,

519
00:30:08,200 --> 00:30:10,800
Speaker 2: telling people to get their body parts. What is this

520
00:30:10,920 --> 00:30:14,320
Speaker 2: all about? We'll get into that next. It's twelve fifty

521
00:30:14,320 --> 00:30:17,000
Speaker 2: four News Radio seven hundred wl W.

522
00:30:19,040 --> 00:30:25,080
Speaker 1: Now your host Ken Brew on News Radio seven hundred WLW.

523
00:30:24,640 --> 00:30:27,880
Speaker 2: Welcome back on this Saturday afternoon. When I say great

524
00:30:27,920 --> 00:30:31,600
Speaker 2: to have you, whether's I don't say that capriciously, for

525
00:30:31,800 --> 00:30:34,240
Speaker 2: without you, what would I be? I would be one

526
00:30:34,280 --> 00:30:37,880
Speaker 2: man sitting in a room babbling to himself. And why

527
00:30:37,960 --> 00:30:42,760
Speaker 2: would I have to leave town for that? So a

528
00:30:42,760 --> 00:30:44,360
Speaker 2: lot of people are making a big deal out of

529
00:30:44,360 --> 00:30:47,120
Speaker 2: the Epstein files, and it is a big deal. I

530
00:30:47,520 --> 00:30:50,520
Speaker 2: do think that the current administration could have played the

531
00:30:50,640 --> 00:30:53,280
Speaker 2: release of these a lot better than what it did.

532
00:30:54,160 --> 00:30:57,040
Speaker 2: I also think that for the four years preceding Donald

533
00:30:57,040 --> 00:31:00,280
Speaker 2: Trump two point zero, Joe Biden couldn't give a that's

534
00:31:00,320 --> 00:31:03,640
Speaker 2: rear end about the Epstein files. But so goes the

535
00:31:03,640 --> 00:31:08,360
Speaker 2: world of politics. This nice next topic, though, is something

536
00:31:08,360 --> 00:31:14,880
Speaker 2: that transcends humanity. For a long time, the Communist Chinese

537
00:31:14,880 --> 00:31:20,240
Speaker 2: government has been harvesting organs in essence, killing people who

538
00:31:20,280 --> 00:31:25,600
Speaker 2: did not agree with the CCP its philosophies or its leaders.

539
00:31:26,760 --> 00:31:29,720
Speaker 2: These leaders have been killing these people simply to get

540
00:31:29,760 --> 00:31:35,040
Speaker 2: their organs so that they could place those organs inside

541
00:31:35,080 --> 00:31:38,680
Speaker 2: the bodies of people that were more in line politically

542
00:31:38,720 --> 00:31:43,720
Speaker 2: with the ruling party, or perhaps just the elites in

543
00:31:43,800 --> 00:31:47,320
Speaker 2: communist China. Yes, even in that kind of an environment,

544
00:31:47,400 --> 00:31:50,600
Speaker 2: there are elites. All of this is not news for

545
00:31:50,720 --> 00:31:55,600
Speaker 2: my next guest. For many many years, Jan Jaekelik has

546
00:31:55,640 --> 00:31:59,440
Speaker 2: been investigating this Yan works for the Epic Times. You

547
00:31:59,520 --> 00:32:02,000
Speaker 2: might have. I've seen him on Epic TV with, among

548
00:32:02,080 --> 00:32:05,720
Speaker 2: other people, the current FBI director Cash Battel. They hosted

549
00:32:05,720 --> 00:32:08,360
Speaker 2: a co host of the show before Cash left to

550
00:32:08,400 --> 00:32:11,040
Speaker 2: work for the FBI. But Yan has been on this

551
00:32:11,200 --> 00:32:13,760
Speaker 2: case for a very long time, and he joins us

552
00:32:13,800 --> 00:32:16,560
Speaker 2: now to talk about this and what just seems to

553
00:32:16,600 --> 00:32:22,640
Speaker 2: be outrageous behavior by the Chinese Communist Party. And Yan,

554
00:32:22,760 --> 00:32:24,480
Speaker 2: how are you on this glorious Saturday?

555
00:32:26,240 --> 00:32:28,959
Speaker 4: And I am fantastic, and I'm just it's such a

556
00:32:29,000 --> 00:32:31,480
Speaker 4: pleasure to be able to come on with someone who

557
00:32:31,600 --> 00:32:34,080
Speaker 4: clearly kind of knows a little bit of what's going

558
00:32:34,120 --> 00:32:36,280
Speaker 4: on here. Yeah, thanks a lot.

559
00:32:36,640 --> 00:32:40,520
Speaker 2: No, I'm glad you're here. Your book Killed to Order

560
00:32:41,440 --> 00:32:46,240
Speaker 2: is all about forced harvesting of organs. Okay, let's take

561
00:32:46,280 --> 00:32:50,120
Speaker 2: this from the top. So I could be just a

562
00:32:50,160 --> 00:32:53,760
Speaker 2: regular person in China or maybe somebody that doesn't agree

563
00:32:53,800 --> 00:32:57,400
Speaker 2: with the current regime there, and I could be sitting

564
00:32:57,400 --> 00:32:59,800
Speaker 2: in my house one day talking to my family and

565
00:33:00,240 --> 00:33:03,680
Speaker 2: not door gets kicked in, They haul me away and

566
00:33:03,760 --> 00:33:07,360
Speaker 2: nobody sees me again, and I might have my heart,

567
00:33:07,440 --> 00:33:10,520
Speaker 2: my lungs, my livery god knows what else inside somebody

568
00:33:10,520 --> 00:33:15,120
Speaker 2: else's body, simply because they have more money than I do,

569
00:33:15,520 --> 00:33:19,040
Speaker 2: or they believe in what's going on with the government

570
00:33:19,120 --> 00:33:21,720
Speaker 2: more than I do, or they just know the right people.

571
00:33:22,480 --> 00:33:23,760
Speaker 2: Is that what's going on there?

572
00:33:25,520 --> 00:33:29,400
Speaker 4: Absolutely, And you raise a very very important point, right

573
00:33:29,520 --> 00:33:32,760
Speaker 4: This is the people who are the so called donors

574
00:33:32,800 --> 00:33:37,320
Speaker 4: for this horrible industry, okay, are basically groups of people

575
00:33:37,520 --> 00:33:41,440
Speaker 4: that have been dehumanized and are considered by the state

576
00:33:41,560 --> 00:33:45,040
Speaker 4: to be less than human therefore expendable. So they started

577
00:33:45,080 --> 00:33:47,360
Speaker 4: to do this back in nineteen ninety nine and two

578
00:33:47,400 --> 00:33:50,640
Speaker 4: thousand on the fallon Gong, and they incarcerated you know,

579
00:33:50,680 --> 00:33:54,000
Speaker 4: a million, maybe two million, we don't know the exact numbers, okay,

580
00:33:54,000 --> 00:33:57,160
Speaker 4: but a very large group of people. And then they

581
00:33:57,200 --> 00:34:00,760
Speaker 4: started blood typing, tissue typing, and the organs scanning them.

582
00:34:01,240 --> 00:34:03,400
Speaker 4: And that's actually how this works. Like, if you have

583
00:34:03,440 --> 00:34:06,520
Speaker 4: to see a wealthy transplant tourist, right, and that's got

584
00:34:06,560 --> 00:34:09,640
Speaker 4: two hundred grand to spend and it's in emergency need

585
00:34:09,680 --> 00:34:12,719
Speaker 4: of a heart, they can actually schedule that in a

586
00:34:12,760 --> 00:34:14,840
Speaker 4: week or two weeks. Two weeks is kind of the

587
00:34:14,920 --> 00:34:18,719
Speaker 4: typically what was advertised back in the day, scheduled, meaning

588
00:34:18,760 --> 00:34:21,600
Speaker 4: someone's going to be killed for that transplant. And then

589
00:34:21,800 --> 00:34:26,320
Speaker 4: in that database, okay, there's actually all these organs scan

590
00:34:26,800 --> 00:34:30,719
Speaker 4: data and blood data and everything else. So when the

591
00:34:30,840 --> 00:34:34,640
Speaker 4: organ transplant tourists provides their information, that can be directly

592
00:34:34,680 --> 00:34:37,719
Speaker 4: matched as someone who's already in prison, ready to be

593
00:34:37,840 --> 00:34:40,080
Speaker 4: killed to order. And that's why the book is called

594
00:34:40,520 --> 00:34:41,359
Speaker 4: killed to order.

595
00:34:42,239 --> 00:34:46,840
Speaker 2: So someone could be arrested for whatever whatever the whim

596
00:34:46,960 --> 00:34:50,480
Speaker 2: is of the ruling party there, and they might be

597
00:34:50,560 --> 00:34:53,279
Speaker 2: scared to death. I'm being dragged off to prison. Who

598
00:34:53,280 --> 00:34:56,040
Speaker 2: knows when I'm going to see anyone again. They're in prison,

599
00:34:56,680 --> 00:35:02,880
Speaker 2: And then that's one I guess these crimes begin, Well, so.

600
00:35:03,560 --> 00:35:06,839
Speaker 4: Here's you made it like such an important point here

601
00:35:06,920 --> 00:35:09,000
Speaker 4: right right at the beginning of this is kind of

602
00:35:09,000 --> 00:35:11,480
Speaker 4: a lost on a lot of people, actually, right because

603
00:35:11,600 --> 00:35:15,719
Speaker 4: when you're they're picking people who are kind of expected

604
00:35:15,760 --> 00:35:18,319
Speaker 4: to disappear in a way with thefel and Goong, the

605
00:35:18,400 --> 00:35:21,920
Speaker 4: dictator at the time, Jangsamen said, eradicate them, right, And

606
00:35:21,960 --> 00:35:24,719
Speaker 4: then twenty fourteen and twenty fifteen, when no one really

607
00:35:24,760 --> 00:35:27,719
Speaker 4: the world really didn't respond in a meaningful way, they

608
00:35:27,760 --> 00:35:31,560
Speaker 4: added the Wigurs, which is this very vulnerable Muslim population

609
00:35:31,640 --> 00:35:34,400
Speaker 4: in the northwest of China. Also kind of you know,

610
00:35:34,440 --> 00:35:38,400
Speaker 4: they're doing this force of the assimilation. They're incarcerated a

611
00:35:38,400 --> 00:35:41,520
Speaker 4: million of them, they're kind of doing forced intermarriage. They're

612
00:35:41,760 --> 00:35:44,760
Speaker 4: pushing Han Chinese into the population. I mean the US

613
00:35:45,000 --> 00:35:48,000
Speaker 4: government and many other governments that were believed that that's

614
00:35:48,000 --> 00:35:51,520
Speaker 4: an actual genocide. You know, that's a designation where there's

615
00:35:51,520 --> 00:35:55,319
Speaker 4: this slow it's not like everybody's being killed instantly. It's

616
00:35:55,360 --> 00:35:58,520
Speaker 4: like the slow, total and complete destruction of the culture.

617
00:35:58,520 --> 00:36:01,600
Speaker 4: And in this kind of setting, people are being tortured regularly.

618
00:36:01,640 --> 00:36:03,080
Speaker 4: This is what they did to the Fealan Gong and

619
00:36:03,080 --> 00:36:05,640
Speaker 4: so forth. And someone just kind of disappears, and no

620
00:36:05,680 --> 00:36:09,280
Speaker 4: one really knows, Like, no one assumed at the beginning

621
00:36:09,320 --> 00:36:11,359
Speaker 4: that this was because of the forest organ harvesting, right,

622
00:36:11,400 --> 00:36:13,880
Speaker 4: They just the person just disappeared. They assumed maybe they

623
00:36:13,920 --> 00:36:18,880
Speaker 4: were transferred, maybe they were killed actually through because they

624
00:36:18,920 --> 00:36:21,719
Speaker 4: were being tortured or something like that. And so all

625
00:36:21,920 --> 00:36:25,560
Speaker 4: this whole industry grew up in this setting of uncertainty

626
00:36:25,600 --> 00:36:30,480
Speaker 4: and incredible vulnerability of one and then two populations of people.

627
00:36:30,560 --> 00:36:32,759
Speaker 4: And there may have been others that were harvested too,

628
00:36:33,120 --> 00:36:36,759
Speaker 4: but the bulk, from our knowledge is started the majority

629
00:36:36,840 --> 00:36:39,359
Speaker 4: up until twenty fourteen, twenty fifteen. We're the Felon Gong

630
00:36:39,840 --> 00:36:42,880
Speaker 4: and then the Wigirs, and we don't know the exact numbers,

631
00:36:43,360 --> 00:36:46,440
Speaker 4: but Wigers were added around twenty fourteen twenty fifteen.

632
00:36:46,760 --> 00:36:50,440
Speaker 2: To this day, I've never lived in a communist country,

633
00:36:50,480 --> 00:36:53,960
Speaker 2: thank god, never wished to ever, but I was always

634
00:36:54,000 --> 00:36:57,120
Speaker 2: led to believe, and maybe this is naivete in my part,

635
00:36:57,239 --> 00:37:01,080
Speaker 2: that it's basically those in power and everyone else is

636
00:37:01,120 --> 00:37:05,520
Speaker 2: the proletariat. In other words, everyone else works while those

637
00:37:05,560 --> 00:37:08,480
Speaker 2: in power get rich. Those in power being the politicians,

638
00:37:08,520 --> 00:37:13,520
Speaker 2: get rich. So who are the elites that would benefit

639
00:37:13,600 --> 00:37:17,000
Speaker 2: from this is it just the politicians or are in

640
00:37:17,040 --> 00:37:20,640
Speaker 2: a communist society a communist government in this one in particular,

641
00:37:21,200 --> 00:37:25,080
Speaker 2: there are people that make more money than others that

642
00:37:25,160 --> 00:37:28,400
Speaker 2: are not in politics.

643
00:37:28,440 --> 00:37:32,399
Speaker 4: Not really, okay, So this is actually also, I really

644
00:37:33,600 --> 00:37:35,680
Speaker 4: you're bringing a very important part of the book to

645
00:37:35,719 --> 00:37:38,680
Speaker 4: the foe here, Okay, that ken I really appreciate it,

646
00:37:38,719 --> 00:37:41,279
Speaker 4: because the title of the book is killed to order

647
00:37:41,680 --> 00:37:44,880
Speaker 4: the organ transplant industry, but also the true nature of

648
00:37:44,920 --> 00:37:48,520
Speaker 4: America's greatest adversary. And what I realized is I've been

649
00:37:48,560 --> 00:37:51,399
Speaker 4: studying both communism and forced organ harvesting over the last

650
00:37:51,400 --> 00:37:55,600
Speaker 4: twenty years. Is that an industry this monstrous is not

651
00:37:55,719 --> 00:37:59,360
Speaker 4: a bug. It's a feature, okay, of how communism works.

652
00:37:59,440 --> 00:38:03,320
Speaker 4: And so here's the reason. There's kind of two approaches

653
00:38:03,360 --> 00:38:05,120
Speaker 4: to medicine, if you wor if we're going to put

654
00:38:05,160 --> 00:38:07,720
Speaker 4: them kind of on Paubl polar Off as it ends. Okay.

655
00:38:08,040 --> 00:38:10,640
Speaker 4: One is what we call the hippocratic approach to medicine,

656
00:38:10,640 --> 00:38:12,960
Speaker 4: where I'm a doctor and I want to do the

657
00:38:13,000 --> 00:38:16,160
Speaker 4: best for my individual patient. I'm considering all the realities

658
00:38:16,160 --> 00:38:17,920
Speaker 4: of that patient. I want to help them, okay, and

659
00:38:18,000 --> 00:38:20,360
Speaker 4: I also have to do no harm that's typically what

660
00:38:20,440 --> 00:38:23,440
Speaker 4: we associate with hippocratic medic I don't want to do anything,

661
00:38:23,600 --> 00:38:26,319
Speaker 4: minimize any harm that my intervention will do them. The

662
00:38:26,400 --> 00:38:29,759
Speaker 4: other approach is called utilitary and bioethics, okay, and that

663
00:38:29,920 --> 00:38:32,920
Speaker 4: is the greatest good for the greatest number. Now, in

664
00:38:32,920 --> 00:38:35,920
Speaker 4: that model, you can kind of sacrifice the few for

665
00:38:35,960 --> 00:38:38,719
Speaker 4: the good of the many, okay. And what I realized

666
00:38:38,920 --> 00:38:41,799
Speaker 4: again is sort of I fell upon this, right. I'm

667
00:38:41,840 --> 00:38:44,239
Speaker 4: just kind of studying this for a while, is that

668
00:38:44,719 --> 00:38:48,840
Speaker 4: communism is kind of the quintessential example of utilitary and

669
00:38:48,920 --> 00:38:52,480
Speaker 4: bioethics in play, because the greatest good in a communism

670
00:38:52,680 --> 00:38:56,680
Speaker 4: and a communist society is the supremacy and the survival

671
00:38:56,719 --> 00:38:59,600
Speaker 4: of the communist party. And that's why you always get

672
00:38:59,640 --> 00:39:03,839
Speaker 4: massive atrocities in communist societies, because human life, there's no

673
00:39:03,960 --> 00:39:07,040
Speaker 4: individual dignity. It's always the greatest good for the greatest number.

674
00:39:07,440 --> 00:39:10,760
Speaker 4: And the moment, you know, after a communist revolution happens,

675
00:39:11,320 --> 00:39:14,600
Speaker 4: that greatest good is always the party's survival and the

676
00:39:14,600 --> 00:39:18,080
Speaker 4: party's flurishing. And that means it's these super elite, these

677
00:39:18,120 --> 00:39:21,239
Speaker 4: people who do have to make the biggest money, who

678
00:39:21,280 --> 00:39:23,520
Speaker 4: hold the wealth in the society and who are able

679
00:39:23,560 --> 00:39:27,080
Speaker 4: to push course of power through the society. There's no

680
00:39:27,200 --> 00:39:29,480
Speaker 4: such thing in a communist society as people who are

681
00:39:29,520 --> 00:39:33,680
Speaker 4: not deeply embroiled with the Communist party being vastly wealthy.

682
00:39:33,760 --> 00:39:35,520
Speaker 4: The two things go hand in hand.

683
00:39:36,280 --> 00:39:39,680
Speaker 2: It's bizarro world, if you ask me. And we can

684
00:39:39,920 --> 00:39:42,360
Speaker 2: probably go off on a tangent as to those that

685
00:39:42,400 --> 00:39:45,480
Speaker 2: are now seeking political office and have in some cases

686
00:39:45,480 --> 00:39:50,400
Speaker 2: achieved it in this country espousing communist beliefs. But I

687
00:39:50,480 --> 00:39:53,000
Speaker 2: look at this, and I put this up against what's

688
00:39:53,040 --> 00:39:55,759
Speaker 2: going on in this country. And this country is at

689
00:39:55,840 --> 00:39:59,680
Speaker 2: least on the Democrat side. They're all running around with

690
00:39:59,680 --> 00:40:03,200
Speaker 2: their hand on fire regarding about the Epstein files and

691
00:40:03,239 --> 00:40:06,960
Speaker 2: all this. And I look at what the current administration

692
00:40:07,120 --> 00:40:10,200
Speaker 2: is trying to do with China on an economic level.

693
00:40:11,000 --> 00:40:13,120
Speaker 2: They have to know what's going on by day. I mean,

694
00:40:13,160 --> 00:40:16,400
Speaker 2: those in power have to know what's going on. This

695
00:40:16,480 --> 00:40:19,160
Speaker 2: hasn't just begun, as you point out, This has been

696
00:40:19,200 --> 00:40:23,080
Speaker 2: going on for decades. So it's not just Trump, it's Obama,

697
00:40:23,120 --> 00:40:26,640
Speaker 2: it's Biden, it's Bush and Bush and Clinton. They all

698
00:40:26,680 --> 00:40:28,840
Speaker 2: had to know this was going on. Why are we

699
00:40:29,040 --> 00:40:33,839
Speaker 2: so afraid to take this up in a context with

700
00:40:34,320 --> 00:40:36,680
Speaker 2: whomever in this case, she, but whoever has been in

701
00:40:36,719 --> 00:40:40,840
Speaker 2: power in China all these many decades. Why is the

702
00:40:40,920 --> 00:40:42,799
Speaker 2: United States so reticent to do this?

703
00:40:44,400 --> 00:40:46,799
Speaker 4: Well, there's kind of two parts to that story, and

704
00:40:46,880 --> 00:40:49,640
Speaker 4: I talk about I think both of them in there.

705
00:40:50,440 --> 00:40:54,439
Speaker 4: One of them is that basically the Chinese kind is party,

706
00:40:54,600 --> 00:40:57,240
Speaker 4: starting with jangs Men, who was the dictator who started

707
00:40:57,280 --> 00:41:00,239
Speaker 4: the Sel and Gong persecution. Okay, and by the way,

708
00:41:00,280 --> 00:41:02,400
Speaker 4: we have a lot of evidence that his all his

709
00:41:02,440 --> 00:41:05,399
Speaker 4: advisors says, don't do this. These are decent people. These

710
00:41:05,560 --> 00:41:08,560
Speaker 4: even people were basically kind of you know, apolitical, They're

711
00:41:08,600 --> 00:41:11,359
Speaker 4: not interested in getting involved in politics or anything like that.

712
00:41:11,400 --> 00:41:14,160
Speaker 4: But the guy just decided that he would he would

713
00:41:14,239 --> 00:41:18,520
Speaker 4: wipe this out, even perhaps because of jealousy. That's that's

714
00:41:18,560 --> 00:41:20,520
Speaker 4: something that I heard about, but I didn't believe for

715
00:41:20,560 --> 00:41:23,320
Speaker 4: a long time. But he was also the guide whose

716
00:41:23,440 --> 00:41:26,600
Speaker 4: job was There's this term that translates from Chinese wooing

717
00:41:26,640 --> 00:41:29,840
Speaker 4: the barbarians, okay, and that what that term means is

718
00:41:29,880 --> 00:41:35,759
Speaker 4: really basically convincing Americans, okay, and the Westerners that they

719
00:41:35,800 --> 00:41:38,960
Speaker 4: can kind of, you know, make a difference by putting

720
00:41:39,000 --> 00:41:41,719
Speaker 4: a lot of money into communist China. So he was

721
00:41:41,760 --> 00:41:44,239
Speaker 4: an expert at that he became the paramount dictator, and

722
00:41:44,320 --> 00:41:46,320
Speaker 4: for you know, the better part of a decade or

723
00:41:46,320 --> 00:41:49,319
Speaker 4: fifteen years, there was this massive push right to get

724
00:41:49,360 --> 00:41:52,200
Speaker 4: American money into China. There were these promises, it's going

725
00:41:52,239 --> 00:41:54,839
Speaker 4: to become a democracy, and a lot of people, even

726
00:41:54,920 --> 00:41:57,680
Speaker 4: like very decent people right over here on this end,

727
00:41:57,800 --> 00:42:01,080
Speaker 4: believe this right because it was so to compelling narrative.

728
00:42:01,120 --> 00:42:03,640
Speaker 4: But they never the idea was we're going to liberalize them.

729
00:42:03,640 --> 00:42:06,040
Speaker 4: They're going to become a democracy. They're going to become

730
00:42:06,040 --> 00:42:08,520
Speaker 4: a South Korea or a Taiwan or something like that,

731
00:42:08,560 --> 00:42:10,839
Speaker 4: if we just pumping up cash, if we support them enough.

732
00:42:11,160 --> 00:42:13,520
Speaker 4: But they knew from the beginning, since Deng jaw Paying

733
00:42:13,680 --> 00:42:16,960
Speaker 4: right there, the leader before, that they weren't planning to

734
00:42:17,000 --> 00:42:19,880
Speaker 4: do that. This is a totalitarian dictatorship. They knew they

735
00:42:19,880 --> 00:42:22,920
Speaker 4: were going to destroy all semblance of civil society. And

736
00:42:22,960 --> 00:42:27,280
Speaker 4: it's only through civil society that let that liberalization happens. Okay,

737
00:42:27,440 --> 00:42:29,720
Speaker 4: So that's the first that's the first part of the story.

738
00:42:29,760 --> 00:42:33,000
Speaker 4: Now we get to today, okay, where you know, basically,

739
00:42:33,040 --> 00:42:34,719
Speaker 4: and by the way, there's this other element, which is

740
00:42:34,760 --> 00:42:37,479
Speaker 4: when you have a lot of money riding on it. Right,

741
00:42:38,000 --> 00:42:40,760
Speaker 4: Even if you're kind of a decent person in general,

742
00:42:40,840 --> 00:42:43,319
Speaker 4: it's very hard for you to see all of a

743
00:42:43,320 --> 00:42:46,680
Speaker 4: sudden that that money might be involved in something nasty, right,

744
00:42:46,760 --> 00:42:49,319
Speaker 4: because if you were to admit it to yourself, you'd

745
00:42:49,360 --> 00:42:51,520
Speaker 4: have to say, oh, now I'm involved in something nasty.

746
00:42:51,560 --> 00:42:53,560
Speaker 4: Now I have to you know, kind of get get

747
00:42:53,680 --> 00:42:56,160
Speaker 4: rid of that. And it's a very inconvenient thing to

748
00:42:56,200 --> 00:42:58,000
Speaker 4: think our mind's going to play tricks on us this

749
00:42:58,040 --> 00:42:59,919
Speaker 4: way too, right, And of course there's greed.

750
00:43:00,239 --> 00:43:00,399
Speaker 6: Right.

751
00:43:00,680 --> 00:43:03,200
Speaker 4: But so today we have a situation where the CCP

752
00:43:03,360 --> 00:43:07,120
Speaker 4: has integrated itself into the global economy and is sort

753
00:43:07,160 --> 00:43:10,279
Speaker 4: of involved in deeply in all sorts of kind of

754
00:43:10,400 --> 00:43:13,480
Speaker 4: us reality, the sort of most stark example being the

755
00:43:13,600 --> 00:43:16,600
Speaker 4: rare earth's right. They basically use this strategy to corner

756
00:43:16,640 --> 00:43:20,440
Speaker 4: the rare earth processing market. And now we're trying hard

757
00:43:20,520 --> 00:43:23,279
Speaker 4: to get ourselves out of that pickle. Okay, So that's

758
00:43:23,320 --> 00:43:26,600
Speaker 4: the other side. Now they actually have a lot of leverage. Right.

759
00:43:26,719 --> 00:43:30,680
Speaker 4: So someone like President Trump, who I view as a realist, okay,

760
00:43:30,719 --> 00:43:33,240
Speaker 4: someone who's trying to you know, look at the world

761
00:43:33,280 --> 00:43:35,719
Speaker 4: as it actually is and work with it and figure out

762
00:43:35,760 --> 00:43:38,240
Speaker 4: how do we. I believe that the president is looking

763
00:43:38,239 --> 00:43:41,279
Speaker 4: to extricate himself from that relationship with communist China where

764
00:43:41,280 --> 00:43:45,680
Speaker 4: they can exert massive leverage over America. But it's a process.

765
00:43:45,880 --> 00:43:47,759
Speaker 4: So to do that you have to make some really

766
00:43:47,760 --> 00:43:50,080
Speaker 4: hard decisions. How do you deal with them if they're

767
00:43:50,120 --> 00:43:52,840
Speaker 4: threatening to basically put a whole bunch of your industry

768
00:43:52,880 --> 00:43:55,759
Speaker 4: into a standstill right now? Of course they'll hurt too,

769
00:43:56,239 --> 00:43:59,480
Speaker 4: but you're going to hurt. So it's a complex reality

770
00:43:59,560 --> 00:44:01,120
Speaker 4: and I don't know what the best way to deal

771
00:44:01,160 --> 00:44:03,240
Speaker 4: it with it is. But that's the answer.

772
00:44:03,640 --> 00:44:07,600
Speaker 2: Well, you're but again, I mean there's a number of

773
00:44:07,960 --> 00:44:11,399
Speaker 2: tentacles to this. You're shedding light on on this. Your

774
00:44:11,440 --> 00:44:14,560
Speaker 2: your book that you just have out killed to order

775
00:44:14,840 --> 00:44:17,000
Speaker 2: is shedding light on this. This is going to be

776
00:44:17,000 --> 00:44:20,680
Speaker 2: a very difficult thing for the American public to ignore.

777
00:44:21,000 --> 00:44:23,920
Speaker 2: I don't know how many other journalists are on this.

778
00:44:24,520 --> 00:44:27,200
Speaker 2: I don't sense there are many. I don't sense there

779
00:44:27,200 --> 00:44:30,000
Speaker 2: are many. I have the appetite for this, But certainly,

780
00:44:30,800 --> 00:44:33,520
Speaker 2: as this this gets out with me and with others,

781
00:44:34,080 --> 00:44:36,680
Speaker 2: it's going to be a very hard thing for this

782
00:44:36,760 --> 00:44:39,560
Speaker 2: government to say, we're not We're not going to do that.

783
00:44:39,719 --> 00:44:41,600
Speaker 2: Right now, or you know, we got this other thing

784
00:44:41,680 --> 00:44:45,319
Speaker 2: going on with precious minerals and things like that. I

785
00:44:45,320 --> 00:44:47,759
Speaker 2: think it's I think this is this is going to

786
00:44:47,800 --> 00:44:50,880
Speaker 2: become very uncomfortable for the people in power in this country.

787
00:44:50,920 --> 00:44:55,840
Speaker 4: Would you agree, absolutely? But this is this is actually

788
00:44:55,880 --> 00:44:57,719
Speaker 4: the optimistic part for me.

789
00:44:58,080 --> 00:44:58,279
Speaker 7: Right.

790
00:44:58,719 --> 00:45:01,359
Speaker 4: I've been covering this ship the better part of twenty years,

791
00:45:01,360 --> 00:45:04,080
Speaker 4: and honestly, when I started, people didn't even want to

792
00:45:04,160 --> 00:45:06,200
Speaker 4: know about it, Like people would clue out in the

793
00:45:06,200 --> 00:45:09,759
Speaker 4: middle of conversation because it's so muck. I don't blame them, right,

794
00:45:09,800 --> 00:45:12,080
Speaker 4: it's so horrible when you think about what's happening in

795
00:45:12,120 --> 00:45:14,880
Speaker 4: the scale where the scale of its sixty to ninety

796
00:45:14,920 --> 00:45:17,920
Speaker 4: thousand transplants a year. I mean, this is industrial scale

797
00:45:18,200 --> 00:45:21,880
Speaker 4: murder for organs, right. But today, for some reason, and

798
00:45:22,120 --> 00:45:23,839
Speaker 4: you can have we can talk a lot about why.

799
00:45:23,920 --> 00:45:27,080
Speaker 4: I think that is, people are ready to understand that

800
00:45:27,160 --> 00:45:30,040
Speaker 4: this is real and there's we have all sorts of

801
00:45:30,200 --> 00:45:32,360
Speaker 4: tools at our disposal. You know, I just had the

802
00:45:32,440 --> 00:45:35,400
Speaker 4: NIH director Jay about Terry on the show on American

803
00:45:35,440 --> 00:45:38,640
Speaker 4: Thought Leaders, my show about and we actually ended up

804
00:45:38,680 --> 00:45:41,560
Speaker 4: talking a little bit about what how these new funding

805
00:45:41,600 --> 00:45:45,920
Speaker 4: structures which he's creating at NIH will actually help stop

806
00:45:45,960 --> 00:45:49,160
Speaker 4: some of the US complicity around forest organ harvesting by

807
00:45:49,200 --> 00:45:52,680
Speaker 4: not funding any institutions over there that are involved in it.

808
00:45:52,960 --> 00:45:55,600
Speaker 4: We can you know, stop training those surgeons. We can

809
00:45:56,200 --> 00:45:58,480
Speaker 4: you know, put sanctions on individuals that are involved in

810
00:45:58,520 --> 00:46:03,120
Speaker 4: There's there's actually legislation that's passed the House unanimously, okay,

811
00:46:03,160 --> 00:46:06,280
Speaker 4: and another piece of a decision near unanimously to basically

812
00:46:06,320 --> 00:46:08,600
Speaker 4: counter this stuff. So we're at a point where we

813
00:46:08,760 --> 00:46:11,680
Speaker 4: can actually make a difference both Congress and the administration.

814
00:46:12,040 --> 00:46:14,000
Speaker 4: And I hope that that actually happens. And I hope

815
00:46:14,040 --> 00:46:16,960
Speaker 4: this book Kiltoorder dot Com, by the way, is where

816
00:46:16,960 --> 00:46:18,560
Speaker 4: you can find it. If you're interested in getting it,

817
00:46:18,560 --> 00:46:22,319
Speaker 4: I encourage you to get it. We can actually make

818
00:46:22,360 --> 00:46:25,799
Speaker 4: a difference and at least and our complicity in this.

819
00:46:27,040 --> 00:46:30,840
Speaker 2: Killed to order China's organ harvesting industry and the true

820
00:46:30,920 --> 00:46:35,279
Speaker 2: nature of America's biggest adversary. It is just out. Jan

821
00:46:35,400 --> 00:46:38,640
Speaker 2: yu Kellik is our guest, and he is the author. Jan.

822
00:46:38,719 --> 00:46:42,879
Speaker 2: This is good stuff. It better get more light as

823
00:46:42,920 --> 00:46:45,840
Speaker 2: we go on, because as you just said, this is

824
00:46:45,880 --> 00:46:48,960
Speaker 2: nothing new. It's been going on for decades and for

825
00:46:49,040 --> 00:46:51,520
Speaker 2: your time today, Yan we appreciate it. Stay tuned, we'll

826
00:46:51,560 --> 00:46:52,200
Speaker 2: be calling again.

827
00:46:52,280 --> 00:46:56,440
Speaker 4: Okay, that's awesome, thank you, Ken you bet.

828
00:46:57,400 --> 00:47:03,600
Speaker 2: Hel heinous, I mean just absolutely heinous. But so it goes.

829
00:47:03,640 --> 00:47:07,759
Speaker 2: Apparently in communist China. It is one twenty three on

830
00:47:07,800 --> 00:47:21,719
Speaker 2: this Saturday, News Radio seven hundred WLW heard WL one

831
00:47:22,480 --> 00:47:27,319
Speaker 2: News Radio seven hundred WLW. I Heeartmedia WLW salute Cincinnati's

832
00:47:27,360 --> 00:47:30,000
Speaker 2: own Proctor and gamble. You got someone there you'd black

833
00:47:30,040 --> 00:47:32,440
Speaker 2: for us to recognize on the air. All you have

834
00:47:32,520 --> 00:47:35,480
Speaker 2: to do is text their name to five one eight

835
00:47:35,480 --> 00:47:37,799
Speaker 2: eight one. That's five to one, eight eight one, and

836
00:47:37,880 --> 00:47:43,680
Speaker 2: they will be so saluted. Thank you. Keep listening, keep listening. Indeed,

837
00:47:44,680 --> 00:47:47,560
Speaker 2: so this was it stood out to me, and I

838
00:47:47,719 --> 00:47:50,879
Speaker 2: was scratching my head literally as to whether or not

839
00:47:50,920 --> 00:47:54,160
Speaker 2: this is something that is becoming a trend or something

840
00:47:54,200 --> 00:47:59,440
Speaker 2: that was an outlier. And uh, I still can't figure

841
00:47:59,480 --> 00:48:05,000
Speaker 2: it out. This thing called baby botox, and more and

842
00:48:05,080 --> 00:48:08,759
Speaker 2: more younger people are getting botox treatments. And this was

843
00:48:08,800 --> 00:48:13,279
Speaker 2: a story about a woman who was a train an

844
00:48:13,320 --> 00:48:17,440
Speaker 2: aesthetician and she allowed her sixteen year old senior, sixteen

845
00:48:17,480 --> 00:48:21,560
Speaker 2: year old senior in high school to get these injections

846
00:48:22,320 --> 00:48:25,200
Speaker 2: and I was wondering, is that the case. I know

847
00:48:25,239 --> 00:48:27,239
Speaker 2: a lot of women that get botox. I know a

848
00:48:27,239 --> 00:48:30,239
Speaker 2: lot of men that get botox. It's not just gender specific.

849
00:48:30,800 --> 00:48:34,880
Speaker 2: But somebody sixteen years old that seems to be awfully young,

850
00:48:36,080 --> 00:48:40,120
Speaker 2: has the skin really developed well enough to begin these

851
00:48:40,200 --> 00:48:42,680
Speaker 2: kinds of treatments. The sixteen year old got the treatments

852
00:48:42,719 --> 00:48:48,120
Speaker 2: apparently because she was not feeling good about herself. I

853
00:48:48,120 --> 00:48:51,680
Speaker 2: guess it was a self esteem thing, and her mom said, yeah, okay,

854
00:48:52,280 --> 00:48:56,439
Speaker 2: let's do this. Let's talk about this, because I think

855
00:48:56,440 --> 00:48:59,560
Speaker 2: that in this day and age where there's so much

856
00:48:59,560 --> 00:49:04,200
Speaker 2: social and so much judgmental behavior, by on that and

857
00:49:04,239 --> 00:49:08,440
Speaker 2: then you couple in to where these kids are most

858
00:49:08,440 --> 00:49:11,040
Speaker 2: of the time, which is either online or in school,

859
00:49:11,080 --> 00:49:14,239
Speaker 2: and you can maybe understand why this pressure to look better,

860
00:49:14,360 --> 00:49:17,319
Speaker 2: look great, look like they're just on top of the

861
00:49:17,320 --> 00:49:21,200
Speaker 2: world is so important to somebody that age. Doctor Esha

862
00:49:21,600 --> 00:49:25,640
Speaker 2: Mannering is a mom. She is also an award winning pediatrician,

863
00:49:25,760 --> 00:49:29,600
Speaker 2: leading voice in pediatric health, and she's a parenting expert,

864
00:49:29,640 --> 00:49:31,439
Speaker 2: and she's kind enough to give us some time here

865
00:49:31,480 --> 00:49:35,279
Speaker 2: on this topic on this Saturday. And doctor Esha, how

866
00:49:35,320 --> 00:49:36,960
Speaker 2: are you on this glorious Saturday.

867
00:49:37,680 --> 00:49:40,399
Speaker 11: I'm doing great. I'm happy to be here, and I'm

868
00:49:40,440 --> 00:49:43,400
Speaker 11: happy to be discussing this because I think it's an

869
00:49:43,440 --> 00:49:47,000
Speaker 11: important topic for us to discuss, especially those of us

870
00:49:47,239 --> 00:49:50,279
Speaker 11: who are parents. You know, I think it indicates that

871
00:49:50,320 --> 00:49:53,799
Speaker 11: we need to be having better conversations, or at least

872
00:49:53,840 --> 00:49:58,320
Speaker 11: more conversations with our children about confidence and what confidence means.

873
00:49:58,440 --> 00:50:02,400
Speaker 11: Because to me, confidence is something that comes from the inside.

874
00:50:02,440 --> 00:50:05,920
Speaker 11: It comes from you know, experience, and from doing things

875
00:50:05,960 --> 00:50:09,480
Speaker 11: and solving problems and really indicates how you feel about

876
00:50:09,480 --> 00:50:13,560
Speaker 11: yourself from the inside. And I am concerned about this

877
00:50:14,000 --> 00:50:18,000
Speaker 11: trend because, you know, it seems to be increasingly more

878
00:50:18,040 --> 00:50:18,920
Speaker 11: common these days.

879
00:50:19,520 --> 00:50:22,200
Speaker 2: The things I know about the skin are limited to

880
00:50:22,280 --> 00:50:24,359
Speaker 2: things that have happened to my skin, and I've been

881
00:50:24,400 --> 00:50:27,320
Speaker 2: to see dermatologists and now I'm paying for past sins

882
00:50:27,360 --> 00:50:29,200
Speaker 2: for being out in the sun too long. I mean,

883
00:50:29,200 --> 00:50:32,960
Speaker 2: it's all the usual stuff, But it would just seem

884
00:50:33,000 --> 00:50:36,719
Speaker 2: to me that at sixteen years old, has has the

885
00:50:36,800 --> 00:50:41,000
Speaker 2: skin the largest organ in the body, has it fully developed?

886
00:50:41,520 --> 00:50:44,760
Speaker 2: And what are you doing if you're injecting botox into

887
00:50:44,800 --> 00:50:48,880
Speaker 2: somebody that age for where the skin would develop normally

888
00:50:49,440 --> 00:50:52,760
Speaker 2: into a twenty and thirty year old. Are we playing

889
00:50:52,800 --> 00:50:54,759
Speaker 2: games here with body development?

890
00:50:55,800 --> 00:50:59,359
Speaker 11: Well, that does concern me. You know, botox works by

891
00:50:59,600 --> 00:51:02,920
Speaker 11: relax your muscles, so when you're injecting it into your face,

892
00:51:02,960 --> 00:51:06,719
Speaker 11: you're relaxing your facial muscles. So over time, depending on

893
00:51:06,840 --> 00:51:10,319
Speaker 11: the dose of botox and the frequency of botox, that

894
00:51:10,320 --> 00:51:14,000
Speaker 11: can actually weaken those muscles and it could change your

895
00:51:14,040 --> 00:51:17,200
Speaker 11: facial structure. And you know, you think about starting something

896
00:51:17,280 --> 00:51:21,120
Speaker 11: like this at sixteen versus maybe in your forties. I mean,

897
00:51:21,160 --> 00:51:24,920
Speaker 11: that's a long time to be getting multiple injections. These

898
00:51:25,080 --> 00:51:29,240
Speaker 11: injections last maybe you know, three months with their effect.

899
00:51:29,360 --> 00:51:31,319
Speaker 11: So you know, and where do you draw the line?

900
00:51:31,440 --> 00:51:34,319
Speaker 11: Right at sixteen that is probably the most you know,

901
00:51:34,400 --> 00:51:37,279
Speaker 11: youthful and brinkle free. You're skinn of going to look,

902
00:51:37,360 --> 00:51:37,640
Speaker 11: you know.

903
00:51:37,760 --> 00:51:38,520
Speaker 12: Going forward.

904
00:51:38,880 --> 00:51:43,000
Speaker 11: If you're noticing these tiny lines at sixteen, you know,

905
00:51:43,000 --> 00:51:44,520
Speaker 11: what are you going to notice at twenty What are

906
00:51:44,520 --> 00:51:46,719
Speaker 11: you going to notice at twenty five? It's just you know,

907
00:51:46,800 --> 00:51:49,640
Speaker 11: how how much more are you going to put it

908
00:51:49,680 --> 00:51:53,279
Speaker 11: to that? Versus when you truly build your confidence and

909
00:51:53,360 --> 00:51:56,920
Speaker 11: it comes from who you are, then you know you

910
00:51:56,960 --> 00:52:00,000
Speaker 11: don't rely on the temporary fix to feel good about yourself.

911
00:52:00,360 --> 00:52:03,320
Speaker 2: Well, okay, so if most of these treatments are about

912
00:52:03,320 --> 00:52:06,280
Speaker 2: three hundred dollars, if they last four months, three months,

913
00:52:06,320 --> 00:52:09,200
Speaker 2: I mean you're talking about twelve hundred dollars a year

914
00:52:09,360 --> 00:52:12,439
Speaker 2: starting at sixteen. My guess is, if you start these

915
00:52:12,480 --> 00:52:16,160
Speaker 2: at sixteen, you're pretty much spending that kind of money

916
00:52:16,960 --> 00:52:19,200
Speaker 2: on botox the rest of your life. I mean, you

917
00:52:19,600 --> 00:52:21,959
Speaker 2: just don't shut it off at some point and say, yeah,

918
00:52:22,000 --> 00:52:24,000
Speaker 2: I've got enough, I'll look great for the rest of

919
00:52:24,000 --> 00:52:28,759
Speaker 2: my life. So you're talking about only it's a financial investment,

920
00:52:29,440 --> 00:52:31,640
Speaker 2: but it's also something that you've got to deal with

921
00:52:31,680 --> 00:52:33,719
Speaker 2: psychologically for the rest of your life. To me, it

922
00:52:33,800 --> 00:52:34,640
Speaker 2: just makes no sense.

923
00:52:35,640 --> 00:52:35,879
Speaker 1: Yeah.

924
00:52:35,880 --> 00:52:38,120
Speaker 11: Absolutely, And you know to your point about you know

925
00:52:38,120 --> 00:52:40,799
Speaker 11: when does the skin fully develop, well, you know in

926
00:52:40,840 --> 00:52:44,920
Speaker 11: a child and adolescent, really your body and your brain

927
00:52:45,560 --> 00:52:49,319
Speaker 11: don't really fully develop till you're into your twenties. So

928
00:52:49,600 --> 00:52:52,920
Speaker 11: you know, you're also adding that additional challenge of you know,

929
00:52:53,000 --> 00:52:56,680
Speaker 11: here's a teenager who we know teenage years are fill

930
00:52:56,719 --> 00:52:59,319
Speaker 11: good insecurity and concern about our parents. We all go

931
00:52:59,400 --> 00:53:02,319
Speaker 11: through that, right, but you are also giving them the

932
00:53:02,360 --> 00:53:06,239
Speaker 11: message that okay, let's you know, go ahead and do

933
00:53:06,280 --> 00:53:08,960
Speaker 11: this and fix this issue with your appearance instead of

934
00:53:09,000 --> 00:53:12,279
Speaker 11: really digging a little deeper and finding out you know where,

935
00:53:12,440 --> 00:53:14,040
Speaker 11: where you know where is the root.

936
00:53:13,840 --> 00:53:14,200
Speaker 3: Of all this?

937
00:53:14,560 --> 00:53:17,280
Speaker 2: Yeah, well let's say it. I think maybe a solid

938
00:53:17,320 --> 00:53:20,480
Speaker 2: conversation with mom and dad. Well, I think you should

939
00:53:20,480 --> 00:53:23,360
Speaker 2: be communicating anyway from the time the child is verbal

940
00:53:23,400 --> 00:53:26,360
Speaker 2: and true, you know. But also, if this is indeed

941
00:53:26,400 --> 00:53:29,080
Speaker 2: a self esteem problem, there are people that can deal

942
00:53:29,080 --> 00:53:32,360
Speaker 2: with that, counselors that you can deal with, as opposed

943
00:53:32,400 --> 00:53:34,360
Speaker 2: to doing something to your body that you may or

944
00:53:34,360 --> 00:53:39,640
Speaker 2: may not recover from. I just wonder why sometimes parents

945
00:53:39,640 --> 00:53:42,400
Speaker 2: are reticent to do that. They don't they want to

946
00:53:42,400 --> 00:53:44,960
Speaker 2: make I think parents want to feel like they can

947
00:53:45,000 --> 00:53:48,319
Speaker 2: control everything or they can solve any problem. And this

948
00:53:48,400 --> 00:53:50,719
Speaker 2: seems like the sixteen year old. It sounds like the

949
00:53:50,760 --> 00:53:53,520
Speaker 2: way the mother solved the problem was here, go get

950
00:53:53,560 --> 00:53:55,400
Speaker 2: shot up in the face and you'll look great in

951
00:53:55,440 --> 00:53:58,799
Speaker 2: every picture you take from now until infinitum. And I

952
00:53:58,840 --> 00:54:00,560
Speaker 2: maybe a counselor would have been a that are route

953
00:54:00,560 --> 00:54:02,000
Speaker 2: for this particular girl.

954
00:54:03,080 --> 00:54:06,000
Speaker 11: Ran It's a very different message than saying, hey, you know,

955
00:54:06,280 --> 00:54:09,520
Speaker 11: let's figure out how we can get you feeling good

956
00:54:09,520 --> 00:54:12,200
Speaker 11: about yourself and you know, where are the things that

957
00:54:12,600 --> 00:54:14,719
Speaker 11: you know, we can work on or maybe get some

958
00:54:14,920 --> 00:54:18,160
Speaker 11: help with a mental health professional and help us to

959
00:54:18,239 --> 00:54:20,320
Speaker 11: really understand what's going on inside.

960
00:54:20,560 --> 00:54:22,279
Speaker 2: Well. The other thing too, is and I hate to

961
00:54:22,280 --> 00:54:25,880
Speaker 2: blame social media for everything, but it is. I've often

962
00:54:25,920 --> 00:54:29,080
Speaker 2: said on this radio show and privately, social media is

963
00:54:29,120 --> 00:54:32,160
Speaker 2: not your friend. It's not real. The people that are

964
00:54:32,160 --> 00:54:35,239
Speaker 2: on there are not people that like you. They're on

965
00:54:35,360 --> 00:54:39,239
Speaker 2: there to toeuch something about themselves. And I suppose when

966
00:54:39,280 --> 00:54:41,600
Speaker 2: you get on to social media and you're sixteen years

967
00:54:41,640 --> 00:54:44,600
Speaker 2: old and you see, you know, people that look glamorous

968
00:54:45,000 --> 00:54:49,040
Speaker 2: or people that are in your mind, somebody you want

969
00:54:49,080 --> 00:54:50,960
Speaker 2: to look at a look at it and say, yeah,

970
00:54:50,960 --> 00:54:53,160
Speaker 2: I'd like to be like that person, don't. I don't

971
00:54:53,200 --> 00:54:57,200
Speaker 2: often think it paints a real picture of reality, And

972
00:54:57,239 --> 00:55:00,800
Speaker 2: I'm not sure. Maybe another avenue here is maybe control

973
00:55:00,920 --> 00:55:03,279
Speaker 2: social media a little bit. If you're the parent, what

974
00:55:03,320 --> 00:55:03,800
Speaker 2: do you think?

975
00:55:04,120 --> 00:55:07,719
Speaker 11: Well, And it's kind of hard, right, because sometimes these

976
00:55:07,760 --> 00:55:10,520
Speaker 11: things tend to take off and it's really hard to

977
00:55:10,640 --> 00:55:13,400
Speaker 11: rain it back in. You know, there are advantages to

978
00:55:13,440 --> 00:55:16,520
Speaker 11: social media. You can reach people with positive messages too,

979
00:55:17,000 --> 00:55:19,959
Speaker 11: but I think again it kind of highlights that need

980
00:55:20,040 --> 00:55:24,720
Speaker 11: for connection, right, connection with your family, connection with close friends,

981
00:55:24,719 --> 00:55:27,400
Speaker 11: like real people in real life. And I think we

982
00:55:27,480 --> 00:55:30,040
Speaker 11: do have to have conversations with our kids about what

983
00:55:30,120 --> 00:55:33,279
Speaker 11: they see is it actually real? I mean a lot

984
00:55:33,320 --> 00:55:36,279
Speaker 11: of these images on social media, they are filtered, they're

985
00:55:36,480 --> 00:55:40,800
Speaker 11: they're corrected, you know, through the photography methods of correction,

986
00:55:40,960 --> 00:55:43,640
Speaker 11: and they're also you know, some of them are AI.

987
00:55:43,800 --> 00:55:46,560
Speaker 11: Now it's so hard to tell what you're looking at

988
00:55:46,840 --> 00:55:48,839
Speaker 11: whether it's real or not. And we need to make

989
00:55:48,880 --> 00:55:51,960
Speaker 11: sure our kids understand this because they're growing up in it.

990
00:55:52,239 --> 00:55:55,040
Speaker 11: You know, we've seen the difference over time. We've seen

991
00:55:55,080 --> 00:55:58,120
Speaker 11: this come you know, into our world and see it

992
00:55:58,160 --> 00:56:01,680
Speaker 11: get stronger and you know, in our all of our homes.

993
00:56:01,719 --> 00:56:04,080
Speaker 11: But kids, this is their norm, so we need to

994
00:56:04,080 --> 00:56:05,760
Speaker 11: help them realize that's not reality.

995
00:56:06,840 --> 00:56:10,000
Speaker 2: Doctor Isha Mannering is our guests. She's a mom, she's

996
00:56:10,080 --> 00:56:13,680
Speaker 2: a pediatrician, and we're talking about botox treatments for teenagers

997
00:56:13,719 --> 00:56:17,960
Speaker 2: and how it just doesn't seem right. Why are we

998
00:56:18,160 --> 00:56:21,280
Speaker 2: and I know this is that this is a broad

999
00:56:21,280 --> 00:56:23,520
Speaker 2: brush here, but why as a so sary are we

1000
00:56:23,680 --> 00:56:27,319
Speaker 2: so interested in looking young? I mean, when did it

1001
00:56:27,480 --> 00:56:32,239
Speaker 2: stop being bad or did it start start being bad?

1002
00:56:32,280 --> 00:56:35,839
Speaker 2: I guess to start to to continue to look as

1003
00:56:35,880 --> 00:56:39,120
Speaker 2: we age. I mean, I understand there there's there are

1004
00:56:39,160 --> 00:56:43,440
Speaker 2: people that you know, some of us are born genetically

1005
00:56:43,880 --> 00:56:46,799
Speaker 2: better than others, and some of us age better than others.

1006
00:56:46,840 --> 00:56:48,920
Speaker 2: And I understand that, and I know that there is

1007
00:56:49,040 --> 00:56:51,840
Speaker 2: greater pressure on a woman to look young as she

1008
00:56:51,880 --> 00:56:54,279
Speaker 2: gets old. I mean, I get all of that. But

1009
00:56:54,360 --> 00:56:58,200
Speaker 2: when did we stop believing that getting old and looking

1010
00:56:58,400 --> 00:57:00,600
Speaker 2: like our age was okay?

1011
00:57:01,800 --> 00:57:04,239
Speaker 11: You know, that's such a fascinating question, and you know,

1012
00:57:04,280 --> 00:57:07,040
Speaker 11: as you were talking about it, it got me thinking.

1013
00:57:07,239 --> 00:57:09,520
Speaker 11: You know, we do tend to delay a lot of

1014
00:57:09,560 --> 00:57:13,920
Speaker 11: things now, as you know, we go to school and

1015
00:57:13,960 --> 00:57:16,760
Speaker 11: go to college and get higher education, and so you know,

1016
00:57:16,800 --> 00:57:20,640
Speaker 11: over time, you've seen this trend where we start families later,

1017
00:57:20,960 --> 00:57:25,000
Speaker 11: and so that that stage of youth, you know, where

1018
00:57:25,000 --> 00:57:28,280
Speaker 11: we get to just naturally be our most youthful selves.

1019
00:57:28,560 --> 00:57:32,320
Speaker 11: A lot of times that's overtaken by educational pursuits or

1020
00:57:32,360 --> 00:57:35,640
Speaker 11: work pursuits. And I wonder if we think, hey, by

1021
00:57:35,680 --> 00:57:38,040
Speaker 11: the time we're you know, we've kind of already accomplished

1022
00:57:38,080 --> 00:57:40,520
Speaker 11: those things. Hey did we miss out on, you know,

1023
00:57:40,600 --> 00:57:44,360
Speaker 11: looking and feeling our best? But I do think it

1024
00:57:44,400 --> 00:57:47,720
Speaker 11: has something to do with that, but also just where

1025
00:57:47,840 --> 00:57:52,080
Speaker 11: we find confidence in ourselves. And I think that's something

1026
00:57:52,160 --> 00:57:53,920
Speaker 11: that's I don't know if you and I can answer

1027
00:57:53,920 --> 00:57:56,720
Speaker 11: that question today, but it just deserves a lot of

1028
00:57:57,320 --> 00:58:00,560
Speaker 11: discussion and a lot of digging into, you know, why

1029
00:58:00,680 --> 00:58:02,600
Speaker 11: we value certain things in our society.

1030
00:58:03,280 --> 00:58:05,680
Speaker 2: It's exactly right, and I don't think there is an

1031
00:58:05,680 --> 00:58:07,840
Speaker 2: answer to it. I'm sure it's different for everyone, but

1032
00:58:07,880 --> 00:58:11,080
Speaker 2: it's just it's always been fascinating to me, Doctor Isha.

1033
00:58:11,120 --> 00:58:12,960
Speaker 2: This has been enlightening. We thank you for your time,

1034
00:58:13,040 --> 00:58:17,760
Speaker 2: doctor Isha Mannering, leading voice in pediatric helton parenting expert

1035
00:58:18,000 --> 00:58:20,840
Speaker 2: and who doesn't like something like that. Thanks for your

1036
00:58:20,840 --> 00:58:23,680
Speaker 2: time in We'll do another thing if it's okay.

1037
00:58:23,480 --> 00:58:24,280
Speaker 4: With you, that's good.

1038
00:58:24,680 --> 00:58:25,920
Speaker 11: Absolutely, thank you.

1039
00:58:27,880 --> 00:58:31,800
Speaker 2: Yeah. Sixteen. I even see here an eight year old

1040
00:58:32,200 --> 00:58:37,480
Speaker 2: was getting botox treatments at the suggestion of a standby.

1041
00:58:37,560 --> 00:58:40,120
Speaker 2: Wait for it, you won't be shocked at the suggestion

1042
00:58:40,360 --> 00:58:45,680
Speaker 2: of a pageant mom. It's one on this Saturday news

1043
00:58:45,760 --> 00:58:47,760
Speaker 2: radio seven hundred WLW.

1044
00:58:51,800 --> 00:58:57,120
Speaker 1: Now your host Ken Brew on news radio seven hundred WLW.

1045
00:58:57,480 --> 00:58:59,080
Speaker 2: Here we go, Here we go, Here we go to

1046
00:58:59,240 --> 00:59:02,400
Speaker 2: twelve on this Saturday afternoon. XAVI your basketball at the

1047
00:59:02,440 --> 00:59:06,040
Speaker 2: bottom of the hour at the Sintas Center, it'll be

1048
00:59:06,120 --> 00:59:08,960
Speaker 2: Marquette against the Musketeers. And you'll hear it here right

1049
00:59:08,960 --> 00:59:12,400
Speaker 2: here on seven hundred WLW tipoff is said for three o'clock.

1050
00:59:13,840 --> 00:59:16,240
Speaker 2: AI frightens a lot of people. I don't know why

1051
00:59:16,320 --> 00:59:19,600
Speaker 2: what it just does. And you either embrace it or

1052
00:59:19,640 --> 00:59:21,640
Speaker 2: you don't. If you don't embrace it and you try

1053
00:59:21,680 --> 00:59:24,240
Speaker 2: to fight it, it will not help you at all.

1054
00:59:24,480 --> 00:59:27,680
Speaker 2: And yes, there is a story out just yesterday that

1055
00:59:27,800 --> 00:59:32,520
Speaker 2: almost all white collar jobs right now, almost all will

1056
00:59:32,560 --> 00:59:37,200
Speaker 2: be eliminated by AI by calendar year twenty twenty. I'm sorry,

1057
00:59:37,200 --> 00:59:43,400
Speaker 2: twenty thirty five. Almost all that sounds like armageddon. That

1058
00:59:43,440 --> 00:59:48,760
Speaker 2: sounds like hitting the old proverbial brick wall. But if

1059
00:59:48,800 --> 00:59:52,400
Speaker 2: that is the case, and you know it's coming, can

1060
00:59:52,440 --> 00:59:58,320
Speaker 2: you outthink AI? Can you save yourself? And what is AI?

1061
00:59:58,480 --> 01:00:01,160
Speaker 2: After all? Is it all what it appears to be?

1062
01:00:01,640 --> 01:00:04,280
Speaker 2: Is it you know this panaceal where you can just

1063
01:00:04,440 --> 01:00:07,440
Speaker 2: find information that will help you with everything to do

1064
01:00:07,480 --> 01:00:12,560
Speaker 2: your job? Or is it garbage in garbage out standing

1065
01:00:12,600 --> 01:00:16,040
Speaker 2: by somebody that hopes it's not garbage in garbage out

1066
01:00:16,840 --> 01:00:20,360
Speaker 2: Julia Davis is somebody whose job right now is to

1067
01:00:20,400 --> 01:00:25,360
Speaker 2: try and integrate AI into the workplace. Keep hearing about it, AI,

1068
01:00:25,480 --> 01:00:28,040
Speaker 2: this AI that it's going to be wonderful. Well is it?

1069
01:00:29,320 --> 01:00:31,440
Speaker 2: Let's bring it out in Julia Davis, how are you

1070
01:00:31,480 --> 01:00:32,800
Speaker 2: on this glorious Saturday.

1071
01:00:33,480 --> 01:00:35,320
Speaker 12: I'm well, thanks so much for having me on here.

1072
01:00:35,440 --> 01:00:37,960
Speaker 2: No, I'm glad you're here. Look, I love AI. I

1073
01:00:37,960 --> 01:00:41,240
Speaker 2: think it's wonderful. People in some cases are scared of it.

1074
01:00:41,320 --> 01:00:44,600
Speaker 2: In some cases they misuse it, in some cases they

1075
01:00:44,720 --> 01:00:47,760
Speaker 2: resist it. But as an overall tool for the workforce,

1076
01:00:48,200 --> 01:00:50,480
Speaker 2: I think you've got to embrace it because whether you

1077
01:00:50,600 --> 01:00:52,520
Speaker 2: like it or not, it's here to stay. Am I

1078
01:00:52,600 --> 01:00:53,240
Speaker 2: right about that?

1079
01:00:53,880 --> 01:00:54,720
Speaker 12: You are so right?

1080
01:00:54,960 --> 01:00:55,360
Speaker 3: I mean the.

1081
01:00:56,920 --> 01:00:59,480
Speaker 12: Atmosphere is changing in the workplace, and AI is a

1082
01:00:59,480 --> 01:01:00,120
Speaker 12: big part of that.

1083
01:01:00,040 --> 01:01:04,960
Speaker 2: AI is great. It depends on who's submitting the information,

1084
01:01:05,120 --> 01:01:07,240
Speaker 2: you know, the old garbage in, garbage out. I think

1085
01:01:07,320 --> 01:01:10,040
Speaker 2: that's one of the things that we have to be

1086
01:01:10,200 --> 01:01:13,200
Speaker 2: very cautious of, is where is this information coming from?

1087
01:01:13,600 --> 01:01:17,040
Speaker 2: And if we don't exercise caution, what comes out the

1088
01:01:17,080 --> 01:01:19,960
Speaker 2: other end could be nothing like is the truth let

1089
01:01:19,960 --> 01:01:22,800
Speaker 2: alone something we want to use. So before we get

1090
01:01:22,800 --> 01:01:24,720
Speaker 2: into that and the workforce and all that, how do

1091
01:01:24,760 --> 01:01:27,760
Speaker 2: you think we treat AI so that we get the

1092
01:01:27,800 --> 01:01:30,440
Speaker 2: most out of it and we're not getting out of

1093
01:01:30,480 --> 01:01:31,920
Speaker 2: it some things we're not supposed to.

1094
01:01:33,080 --> 01:01:33,320
Speaker 3: Yeah.

1095
01:01:33,320 --> 01:01:37,640
Speaker 12: I think most leaders in general don't necessarily lack information.

1096
01:01:37,280 --> 01:01:38,760
Speaker 3: They lack pushback.

1097
01:01:39,440 --> 01:01:42,840
Speaker 12: And the way that people mostly use AI, it doesn't

1098
01:01:42,880 --> 01:01:45,400
Speaker 12: stick so that it actually makes it slightly worse because

1099
01:01:45,400 --> 01:01:47,880
Speaker 12: it does have a built in positivity bias, So it

1100
01:01:47,920 --> 01:01:50,920
Speaker 12: assumed your idea is already reasonable, and it helps you

1101
01:01:51,000 --> 01:01:55,040
Speaker 12: try to execute it. But most leaders don't necessarily need encouragement,

1102
01:01:55,080 --> 01:01:58,240
Speaker 12: they need friction. So if a leader surrounds themselves with

1103
01:01:58,360 --> 01:02:01,480
Speaker 12: yes people, AI just becomes the most efficient yes man

1104
01:02:01,480 --> 01:02:02,240
Speaker 12: they've ever hired.

1105
01:02:02,480 --> 01:02:06,160
Speaker 2: Explain the word friction here, because sometimes friction means tensions.

1106
01:02:06,240 --> 01:02:11,560
Speaker 2: Sometimes it means a workplace that could be toxic. What

1107
01:02:11,640 --> 01:02:13,439
Speaker 2: do you say friction? What does that mean?

1108
01:02:14,360 --> 01:02:16,960
Speaker 12: I think that people need to be challenged and not

1109
01:02:17,000 --> 01:02:20,000
Speaker 12: necessarily comforted in their opinion. I think the only way

1110
01:02:20,040 --> 01:02:22,160
Speaker 12: to get better is to have people that challenge your

1111
01:02:22,160 --> 01:02:25,320
Speaker 12: beliefs or challenge your thought process. And I think if

1112
01:02:25,320 --> 01:02:28,760
Speaker 12: you use AI in a lazy way, it can validate

1113
01:02:28,800 --> 01:02:32,880
Speaker 12: bad decision, but if use it correctly, it can challenge you.

1114
01:02:32,960 --> 01:02:36,080
Speaker 12: So instead of asking it a question like how can

1115
01:02:36,120 --> 01:02:38,640
Speaker 12: I make this work? It would be smarter to say

1116
01:02:38,880 --> 01:02:42,880
Speaker 12: why could this potentially fail? And AI will give you

1117
01:02:42,920 --> 01:02:45,440
Speaker 12: the reasons and the holes in your idea instead of

1118
01:02:45,480 --> 01:02:46,560
Speaker 12: just building your confidence.

1119
01:02:47,080 --> 01:02:49,280
Speaker 2: Well that's interesting because it's true. I think we all

1120
01:02:49,320 --> 01:02:52,200
Speaker 2: look for we look at a project. Okay, we've got

1121
01:02:52,200 --> 01:02:53,960
Speaker 2: to make this work. Right, We're all going to come

1122
01:02:54,000 --> 01:02:55,840
Speaker 2: together as a team. Our team is going to work

1123
01:02:55,880 --> 01:02:57,520
Speaker 2: on this. This team is going to work on that,

1124
01:02:57,840 --> 01:03:00,120
Speaker 2: and we all want to work to make what over

1125
01:03:00,240 --> 01:03:02,840
Speaker 2: that project is. Regardless of the business, we want to

1126
01:03:02,880 --> 01:03:04,480
Speaker 2: make it work. We want to make sure that we

1127
01:03:04,600 --> 01:03:06,880
Speaker 2: contribute to a project that is going to keep the

1128
01:03:06,920 --> 01:03:10,040
Speaker 2: company focused, functioning, and we're going to make money. Everybody's

1129
01:03:10,080 --> 01:03:13,200
Speaker 2: going to be happy. But too often there's nobody looking

1130
01:03:13,200 --> 01:03:16,080
Speaker 2: at the underbelly of that. And so when you say,

1131
01:03:16,200 --> 01:03:18,600
Speaker 2: you know, why would this have a chance to fail

1132
01:03:18,720 --> 01:03:22,120
Speaker 2: as opposed to working toward it to succeed. You don't

1133
01:03:22,160 --> 01:03:24,480
Speaker 2: want to be you don't want to be that guy,

1134
01:03:24,680 --> 01:03:27,000
Speaker 2: But you've got to be somebody I think from what

1135
01:03:27,040 --> 01:03:30,240
Speaker 2: you're saying that could at least challenge the process. So

1136
01:03:30,280 --> 01:03:33,360
Speaker 2: how do you challenge the process without alienating the boss.

1137
01:03:35,240 --> 01:03:37,720
Speaker 12: I think you just consistently ask for feedback. So if

1138
01:03:37,760 --> 01:03:39,520
Speaker 12: you ask for feedback from experts, that are going to

1139
01:03:39,520 --> 01:03:41,360
Speaker 12: give you feedback. And I think you also have to

1140
01:03:41,400 --> 01:03:45,040
Speaker 12: be the person that's comfortable with receiving feedback, because that's

1141
01:03:45,080 --> 01:03:47,120
Speaker 12: the other element. If people know that you don't take

1142
01:03:47,160 --> 01:03:50,080
Speaker 12: feedback well and you kind of crumble under any type

1143
01:03:50,120 --> 01:03:53,960
Speaker 12: of conflict, they're going to be hesitant to tell you anything.

1144
01:03:54,080 --> 01:03:56,600
Speaker 12: But if you welcome feedback and you thank people for

1145
01:03:56,680 --> 01:04:00,240
Speaker 12: telling you the truth and providing accuracy to whatever you

1146
01:04:00,280 --> 01:04:02,640
Speaker 12: have in mind, people are going to be more likely

1147
01:04:02,680 --> 01:04:03,840
Speaker 12: to tell you what they really think.

1148
01:04:04,720 --> 01:04:07,479
Speaker 2: You know, those people in another day and time would

1149
01:04:07,480 --> 01:04:10,640
Speaker 2: be called yes men. You know what I'm talking When

1150
01:04:10,680 --> 01:04:13,320
Speaker 2: you get into a meeting and you're with the boss

1151
01:04:13,360 --> 01:04:15,400
Speaker 2: and you're telling them how great he is and what

1152
01:04:15,480 --> 01:04:18,280
Speaker 2: the great idea is and how it's all going to work,

1153
01:04:18,320 --> 01:04:22,240
Speaker 2: and meanwhile, everybody else, including the person saying that, probably

1154
01:04:22,640 --> 01:04:25,200
Speaker 2: sitting there thinking this thing doesn't have a chance in

1155
01:04:25,240 --> 01:04:27,320
Speaker 2: hell of working. And everybody walks out of the room

1156
01:04:27,360 --> 01:04:31,000
Speaker 2: and rolls their eyes. So this isn't necessarily just an

1157
01:04:31,000 --> 01:04:35,200
Speaker 2: employee problem. I mean it certainly it is because you're

1158
01:04:35,200 --> 01:04:38,240
Speaker 2: not giving the proper feedback. You're trying to curry favors

1159
01:04:38,240 --> 01:04:41,200
Speaker 2: so you stay employed. But it's also an employeer or

1160
01:04:41,240 --> 01:04:46,000
Speaker 2: a manager problem because that manager he's not looking for information,

1161
01:04:46,120 --> 01:04:49,120
Speaker 2: he's looking for affirmation. And so from its very design,

1162
01:04:49,200 --> 01:04:51,440
Speaker 2: whatever they're talking about is doomed to fail, is it not?

1163
01:04:52,960 --> 01:04:53,200
Speaker 4: Yeah?

1164
01:04:53,240 --> 01:04:56,160
Speaker 12: I mean positively is great for morale, but it's terrible

1165
01:04:56,160 --> 01:05:00,840
Speaker 12: and decision making. So most leadership people need accuracy more

1166
01:05:00,880 --> 01:05:03,760
Speaker 12: than just to be built up. I think you've got

1167
01:05:03,800 --> 01:05:06,880
Speaker 12: a force AI to take it, you know, an adversary

1168
01:05:06,960 --> 01:05:09,360
Speaker 12: role almost where if it never makes you feel uncomfortable,

1169
01:05:09,400 --> 01:05:10,320
Speaker 12: I think you're using it wrong.

1170
01:05:10,480 --> 01:05:13,880
Speaker 2: Yeah, okay, so there you go. You've got to challenge

1171
01:05:13,920 --> 01:05:18,640
Speaker 2: it things like, Okay, this is great, but have we

1172
01:05:18,760 --> 01:05:22,320
Speaker 2: considered this that that might not let this succeed? I

1173
01:05:22,360 --> 01:05:25,160
Speaker 2: get that. Okay, Now let's bring AI back into the process.

1174
01:05:25,720 --> 01:05:28,760
Speaker 2: So let's just take our hypothetical meeting where we have

1175
01:05:29,160 --> 01:05:31,560
Speaker 2: this issue that whatever this company wants to work on,

1176
01:05:32,080 --> 01:05:35,720
Speaker 2: How then does AI enter into it for the individual

1177
01:05:35,880 --> 01:05:39,880
Speaker 2: employee that might pollute the waters on this particular thing.

1178
01:05:40,240 --> 01:05:42,680
Speaker 2: How How how can we make sure we use AI

1179
01:05:42,840 --> 01:05:45,720
Speaker 2: properly so that the project whatever it may be, has

1180
01:05:45,720 --> 01:05:46,640
Speaker 2: a chance to succeed.

1181
01:05:48,480 --> 01:05:50,200
Speaker 12: I think you laigh out the project in AI and

1182
01:05:50,280 --> 01:05:53,080
Speaker 12: ask what could potentially be an issue with this? Based

1183
01:05:53,080 --> 01:05:56,520
Speaker 12: on stats of past projects all across the world, what

1184
01:05:56,600 --> 01:06:01,600
Speaker 12: have people found the biggest issues problem concerned challenges with

1185
01:06:01,680 --> 01:06:05,840
Speaker 12: this type of scenario, and then AI will pump out

1186
01:06:06,320 --> 01:06:10,040
Speaker 12: those descriptions of whatever that is. I don't think. I

1187
01:06:10,120 --> 01:06:13,120
Speaker 12: don't think overall AI is biased one way or another.

1188
01:06:13,120 --> 01:06:15,520
Speaker 12: I think it's biased towards the person's power. Right, So

1189
01:06:15,600 --> 01:06:18,480
Speaker 12: whoever's talking to you is it's going to agree with you, know,

1190
01:06:18,600 --> 01:06:21,360
Speaker 12: so you have to challenge it verbally or type in

1191
01:06:21,400 --> 01:06:23,880
Speaker 12: the challenges. They give me all the negatives here, give

1192
01:06:23,920 --> 01:06:26,560
Speaker 12: me all the challenges, give me all the problems.

1193
01:06:26,600 --> 01:06:27,600
Speaker 3: And you know, the.

1194
01:06:27,560 --> 01:06:30,160
Speaker 12: Employees should do the same thing, because if they're presenting

1195
01:06:30,280 --> 01:06:34,120
Speaker 12: only work that backs up their idea, eventually someone will

1196
01:06:34,480 --> 01:06:37,080
Speaker 12: figure that out and then it'll backfire on them.

1197
01:06:37,160 --> 01:06:40,280
Speaker 2: Yeah, and you have to have an environment that encourages

1198
01:06:40,840 --> 01:06:43,280
Speaker 2: that kind of feedback, right, I mean, you can't have

1199
01:06:43,360 --> 01:06:46,680
Speaker 2: an environment where if you are honest or you do

1200
01:06:46,800 --> 01:06:50,080
Speaker 2: explore something that may not be right, regardless of whether

1201
01:06:50,120 --> 01:06:52,280
Speaker 2: you use AI or not. AI. Here in this sense

1202
01:06:52,320 --> 01:06:56,960
Speaker 2: seems to be more like a research tool that would

1203
01:06:57,520 --> 01:07:00,840
Speaker 2: just embellish whatever the prevailing attitude is in side that company.

1204
01:07:01,160 --> 01:07:04,040
Speaker 2: If you're not honest, if you don't do your due diligence,

1205
01:07:04,040 --> 01:07:08,280
Speaker 2: well you're not helping anything or anyone succeed. So it

1206
01:07:08,320 --> 01:07:10,720
Speaker 2: seems to me if I were someone working in a

1207
01:07:10,760 --> 01:07:13,160
Speaker 2: company that was doing that or working on a project,

1208
01:07:13,520 --> 01:07:15,520
Speaker 2: I would go out of my way if I was

1209
01:07:15,600 --> 01:07:17,760
Speaker 2: the owner of the manager or whomever it would be

1210
01:07:17,880 --> 01:07:21,160
Speaker 2: to say, look, we got to have some sort of

1211
01:07:21,960 --> 01:07:25,360
Speaker 2: honest discussion here or none of this is going to work.

1212
01:07:25,400 --> 01:07:27,360
Speaker 2: So I guess in a sense it does fall back

1213
01:07:27,440 --> 01:07:30,520
Speaker 2: on on the manager or the owner or whomever that

1214
01:07:30,640 --> 01:07:32,920
Speaker 2: is trying to get whatever this project is done. I

1215
01:07:32,920 --> 01:07:35,640
Speaker 2: think in the final analysis, it's it's in that that

1216
01:07:35,760 --> 01:07:36,600
Speaker 2: C suite, is it not.

1217
01:07:38,240 --> 01:07:40,800
Speaker 12: I do think that that person has the overall ability

1218
01:07:40,880 --> 01:07:44,840
Speaker 12: to approve or deny any type of communication. I do

1219
01:07:44,920 --> 01:07:47,000
Speaker 12: think that it would be smart for that leadership person

1220
01:07:47,040 --> 01:07:51,200
Speaker 12: to say what possible negatives could occur from your theory,

1221
01:07:51,600 --> 01:07:54,040
Speaker 12: and if the person can't pull any out, it's clear

1222
01:07:54,080 --> 01:07:55,960
Speaker 12: that they didn't do the research.

1223
01:07:56,760 --> 01:07:58,880
Speaker 2: So if I were to hire by the way we're

1224
01:07:58,880 --> 01:08:02,320
Speaker 2: talking talking with Julie day das workplace and leadership expert.

1225
01:08:02,400 --> 01:08:06,840
Speaker 2: You can find her at vitality Dashconsulting dot com Vitality

1226
01:08:07,360 --> 01:08:10,280
Speaker 2: Dashconsulting dot com. So if I were to hire Julia

1227
01:08:10,360 --> 01:08:12,560
Speaker 2: Davis and I would say, Julia, I want you to

1228
01:08:12,560 --> 01:08:15,600
Speaker 2: come into my company because I don't think it's flowing well.

1229
01:08:15,720 --> 01:08:19,200
Speaker 2: The workflow doesn't seem all that great. I'm not sure

1230
01:08:19,240 --> 01:08:21,160
Speaker 2: what the culture is here. I want to make sure

1231
01:08:21,200 --> 01:08:24,120
Speaker 2: the culture is best so that all here can flourish

1232
01:08:24,160 --> 01:08:26,280
Speaker 2: to the best of their ability. If I were to

1233
01:08:26,360 --> 01:08:30,599
Speaker 2: hire Vitalitydashconsulting dot com, what would you do? What would

1234
01:08:30,640 --> 01:08:32,280
Speaker 2: you come in? What would be the first thing you

1235
01:08:32,280 --> 01:08:34,479
Speaker 2: would do? And how would AI be applicable to it?

1236
01:08:35,880 --> 01:08:37,280
Speaker 12: Well, the first thing I would do is just meet

1237
01:08:37,320 --> 01:08:40,640
Speaker 12: everybody in charge and come up with a plan to

1238
01:08:40,720 --> 01:08:45,400
Speaker 12: really dissect the financials, dispect what everybody's role is, talk

1239
01:08:45,439 --> 01:08:47,840
Speaker 12: to them individually, figure out who's in charge of what

1240
01:08:48,160 --> 01:08:50,600
Speaker 12: and how efficient they are at their job based on

1241
01:08:50,680 --> 01:08:53,640
Speaker 12: staff and data. And then after that, you know, we

1242
01:08:53,680 --> 01:08:55,720
Speaker 12: could figure out how to integrate AI, not only to

1243
01:08:55,760 --> 01:08:59,679
Speaker 12: simplify what they're doing and potentially take away some tasks

1244
01:08:59,680 --> 01:09:04,439
Speaker 12: that could handle for them, But overall, efficiency starts from

1245
01:09:04,479 --> 01:09:06,600
Speaker 12: the top down. So the first thing you need to

1246
01:09:06,600 --> 01:09:08,960
Speaker 12: do is look at the leadership of that organization and

1247
01:09:08,960 --> 01:09:11,280
Speaker 12: see what type of respect level they have from everybody

1248
01:09:11,280 --> 01:09:14,080
Speaker 12: else on the team. And where the money's coming in

1249
01:09:14,120 --> 01:09:15,960
Speaker 12: and where the money is going out is usually a

1250
01:09:15,960 --> 01:09:18,679
Speaker 12: pretty good indicator of how that business is being run.

1251
01:09:19,560 --> 01:09:23,760
Speaker 2: You're not a consultant, You're You're a corporate rescuer, is

1252
01:09:23,800 --> 01:09:29,240
Speaker 2: what you are. Run Do you arrive with flashing lights

1253
01:09:29,240 --> 01:09:31,960
Speaker 2: at a siren? You're a corporate rest I love it.

1254
01:09:32,000 --> 01:09:35,799
Speaker 2: I love it. That's fantastic. So anyway, this sounds interesting.

1255
01:09:36,000 --> 01:09:38,639
Speaker 2: I think AI is something that, as I said initially,

1256
01:09:38,680 --> 01:09:40,919
Speaker 2: I think we have to embrace it. It's not going anywhere.

1257
01:09:41,439 --> 01:09:45,439
Speaker 2: How primitive in your opinion? Is AI right now? And

1258
01:09:45,520 --> 01:09:48,759
Speaker 2: where do you see AI, let's just say five years out.

1259
01:09:49,080 --> 01:09:51,839
Speaker 2: Are we just kind of like in the walk stage

1260
01:09:51,880 --> 01:09:56,000
Speaker 2: of this before running or are we still crawling with AI?

1261
01:09:56,560 --> 01:09:59,439
Speaker 12: That's a great question. I think we're at the very

1262
01:09:59,479 --> 01:10:01,400
Speaker 12: beginning ages. I don't even know if we're at a

1263
01:10:01,479 --> 01:10:04,360
Speaker 12: crawl yet. I think that AI has the potential to

1264
01:10:04,439 --> 01:10:09,960
Speaker 12: take a lot of painstaking jobs and provide accuracy as

1265
01:10:10,000 --> 01:10:13,040
Speaker 12: long as the description is good on what their job

1266
01:10:13,160 --> 01:10:16,519
Speaker 12: is to do. I think it could really add a

1267
01:10:16,560 --> 01:10:20,360
Speaker 12: lot of positive momentum to businesses and save a ton

1268
01:10:20,360 --> 01:10:22,880
Speaker 12: of money because some of the stuff that they're doing

1269
01:10:23,000 --> 01:10:28,439
Speaker 12: can provide recruiting services, that can provide data analysis teams

1270
01:10:28,520 --> 01:10:32,800
Speaker 12: and all these different ways to build websites and all

1271
01:10:32,840 --> 01:10:35,680
Speaker 12: the things that businesses really struggle with. I could be

1272
01:10:35,720 --> 01:10:38,920
Speaker 12: an unbelievable replacement for that. We might see the speed

1273
01:10:39,479 --> 01:10:43,599
Speaker 12: from idea to actual concrete, brick and mortar business speed

1274
01:10:43,720 --> 01:10:45,719
Speaker 12: up significantly. Do the assistance of AI.

1275
01:10:46,000 --> 01:10:49,400
Speaker 2: Yeah, yeah, it's exciting. It's frightening on one sense, but

1276
01:10:49,439 --> 01:10:54,320
Speaker 2: it's exciting I think on another anyway, Really Vitality Consulting

1277
01:10:54,520 --> 01:10:58,040
Speaker 2: dot com, Vitality dash Consulting dot com. Thankks for much,

1278
01:10:58,040 --> 01:11:00,320
Speaker 2: well your time today, stay well, and hopefully we can

1279
01:11:00,400 --> 01:11:01,519
Speaker 2: visit in twenty twenty six.

1280
01:11:02,400 --> 01:11:04,439
Speaker 4: I appreciate that you bet you.

1281
01:11:04,360 --> 01:11:08,519
Speaker 2: Bet, Yes, exciting on one hand, intimidating on the other.

1282
01:11:09,560 --> 01:11:16,960
Speaker 2: How it sounds like this show, well I don't know,

1283
01:11:17,320 --> 01:11:21,040
Speaker 2: I don't know. All right, standby, Xavier basketball is coming up.

1284
01:11:21,080 --> 01:11:23,040
Speaker 2: I'll be back with you tomorrow morning at nine am.

1285
01:11:23,120 --> 01:11:27,839
Speaker 2: We'll get into all things sport, including college basketball, including

1286
01:11:27,880 --> 01:11:31,400
Speaker 2: the Reds and even the Bengals. They may not be playing,

1287
01:11:31,640 --> 01:11:35,200
Speaker 2: but they're making news on seven hundred WLW