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Speaker 1: Goo.

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Speaker 2: Good evening and welcome to the Nightcap on seven hundred WLW.

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Speaker 2: I'm Gary, Jeff Walker, you or you, and that is

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Speaker 2: perfectly fine with me. Here we sit a week away

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Speaker 2: from election day in the off year elections, which is

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Speaker 2: an on year for the city of Cincinnati, and there

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Speaker 2: are many, many important issues up in the air if

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Speaker 2: you are a citizen of Cincinnati and other places where

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Speaker 2: they will have elections next Tuesday night, which we will

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Speaker 2: be on air for all of the results next Tuesday

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Speaker 2: evening in this timeslot tonight, my focus will be on

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Speaker 2: the sky an object three to one atlas. It's a comet,

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Speaker 2: or is it that you may or may not have

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Speaker 2: heard of doctor Abby Lowe, who's a Harvard astrophysicist. I'm

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Speaker 2: not an ant astro or a physicist, but this guy

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Speaker 2: is both, and he says there's a forty percent chance

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Speaker 2: this thing could be alien technology because of its trajectory,

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Speaker 2: because of the way it's built, and because of the

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Speaker 2: government shutdown, NASA can't give us anything else but reassurances

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Speaker 2: that it's nothing to be afraid of. It's just a comet,

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Speaker 2: and it probably is, but it's supposed to come very

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Speaker 2: near to Earth. As soon as December nineteenth. It has

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Speaker 2: a trajectory that aligns with all the planets in our

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Speaker 2: solar system. It's acting very oddly, and the images that

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Speaker 2: NASA has of it thus far are being held back.

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Speaker 2: In turn, some people say because of the federal government shutdown,

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Speaker 2: what is object three to one at less? Is it

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Speaker 2: a comet? Or is it the alien Mothers ship that's

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Speaker 2: just about to fly very close to the Sun. Anyway,

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Speaker 2: That's just something that was percolating. I saw in the

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Speaker 2: news and it kind of caught my eye and dragged

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Speaker 2: it twelve feet for a second on the way. Next,

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Speaker 2: Jim Ornacy plus the Mad Hatter Dave Hadter in for

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Speaker 2: a Tuesday tech talk. Rick Robinson returns after a long

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Speaker 2: long absence. Michael Lets from INVESTUSA, The fur Ball, and

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Speaker 2: we will rebroadcast this past Saturday Morning's Rock and Roll

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Speaker 2: Archaeology featuring the music professor Jim le Barbara. That'll happen

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Speaker 2: just a tadbit after ten in case you missed it

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Speaker 2: on Saturday morning. You know, we can't rebroadcast it, or

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Speaker 2: we can rebroadcast, we can't podcast it because of licensing regulations.

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Speaker 2: Don't have the money to pay those fees, but we

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Speaker 2: do have some money to pay for the next interview.

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Speaker 2: And here's a bunch of commercials, and then we'll have

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Speaker 2: Jim Raneci. As the nightcap continues, look up in the

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Speaker 2: sky man seven hundred WLW. As I mentioned just moments ago,

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Speaker 2: our first guest tonight is Jim Renesy, obviously a former

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Speaker 2: member of the House of Representatives, former mayor of Wadsworth, Ohio.

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Speaker 2: And that'll tie into tonight's conversation because he's back on

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Speaker 2: council for a limited set of time, trying to save

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Speaker 2: the city that he loves. He knows a thing or

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Speaker 2: two about running political campaigns. He's won some, he's lost some,

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Speaker 2: and to talk about a marriad of things. Jim Ranesi

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Speaker 2: joins us first tonight. Hello, Jim, how are you.

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Speaker 1: Good?

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Speaker 3: Gary, how are you?

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Speaker 2: I'm fantastic. We'll get to President Trump's ballroom, but first

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Speaker 2: we have an illustration that you were just telling me

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Speaker 2: about of how government works and how it doesn't sometimes.

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Speaker 2: And it's not necessarily a Republican or Democrat problem. It's

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Speaker 2: a politician problem. And people who were supposed to be

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Speaker 2: good stewards of our money and caring about the public

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Speaker 2: they are supposed to be serving first. Sometimes too often,

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Speaker 2: not just in Wadsworth, but all around the country are

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Speaker 2: caring about their pet projects or their vanity projects instead

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Speaker 2: of infrastructure and public safety and public works first. And

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Speaker 2: you had an illustration of that that just occurred. You're

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Speaker 2: temporarily sitting on the Wadsworth, Ohio City Council. It's a

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Speaker 2: city of about twenty five thousand people. Where is it located, Jim.

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Speaker 4: Gary, Wadsworth is west of Akron and south of Cleveland,

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Speaker 4: about thirty miles south of Cleveland, about fifteen miles west

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Speaker 4: of Akron. So right on Route seventy six, anybody that

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Speaker 4: travels north from Cincinnati and is heading to New York

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Speaker 4: or over the northern part of Pennsylvania actually has to

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Speaker 4: cut right through Wadsworth. Throughout seventy six cuts right through

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Speaker 4: the city.

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Speaker 2: There you go, all right, So you recently filled a spot.

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Speaker 2: You stepped in once again, being the public servant that

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Speaker 2: you are, Jim, to be a member of the Wadsworth

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Speaker 2: City Council. And lo and behold, you had an issue

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Speaker 2: come up where infrastructure was not regarded and some kind

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Speaker 2: of park project was the first priority of this city. Council.

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Speaker 2: They wanted to spend thirty five million on parks, as

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Speaker 2: I understand, and you were harping on the fact that

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Speaker 2: they need to really concentrate on your infrastructure.

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Speaker 4: And then what happened, well, and I blame the administration

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Speaker 4: more than city council. City council will actually asked me

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Speaker 4: to join back for six months. There was a resignation

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Speaker 4: of one individual, and I.

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Speaker 5: Did step up.

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Speaker 4: They said, we just need you to look at what's

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Speaker 4: going on with this administration. And the administration was really

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Speaker 4: going down the paths of major park renovations. I mean

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Speaker 4: one park alone one point nine million dollars. It's already

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Speaker 4: been spent. And as I was looking now as a

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Speaker 4: member of city council, former mayor, former House representative, I

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Speaker 4: realized that we do have a systemic problem. We have

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Speaker 4: elected officials who forget that the basic reason for government

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Speaker 4: is really for the services that are required. Not you know,

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Speaker 4: parks are great, all cities need parks, but at the

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Speaker 4: same time, you have to have the basic services. Look,

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Speaker 4: I would and say, that's about the federal government. Remember,

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Speaker 4: the federal government was asked by the states to do

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Speaker 4: limited things, and now they've taken over so many other things.

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Speaker 4: But I think it's a systemic problem around the country.

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Speaker 4: These elected officials, they get elected, they start looking around

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Speaker 4: at legacies. What can my legacy be, What can my

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Speaker 4: next position be? How do I make the people like me?

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Speaker 4: The answer is, you're elected to do.

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Speaker 1: The right thing.

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Speaker 2: Oh hold on, Jim, you mean, how do I keep

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Speaker 2: from getting primaried by a more leftist candidate if I

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Speaker 2: don't hold the line on keeping the government open like

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Speaker 2: that like Chuck Show, all of.

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Speaker 4: Those things, and it's amazing that it trickles all the

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Speaker 4: way down. But here in Ladsworth they were looking at

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Speaker 4: thirty five million dollars worth of part projects that would

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Speaker 4: have had to be borrowed. There's not enough money at

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Speaker 4: the city to do this. They were talking about a

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Speaker 4: large borrowing and then last night we had a city

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Speaker 4: power outage that lasted twelve hours. Businesses one gas station

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Speaker 4: downtown said they lost about eleven or twelve thousand dollars.

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Speaker 4: It's one small gas station, but you have to remember

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Speaker 4: that there's businesses across the state, city, restaurants, all these things,

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Speaker 4: all because we don't have a redundant power system coming

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Speaker 4: in to the city and one pole. One pole went

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Speaker 4: down and took the entire city out for twelve hours.

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Speaker 4: It shows you that government needs to start paying attention

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Speaker 4: to really what are the services needed, the infrastructure needed,

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Speaker 4: whether it's state, local, or federal government, and quit worrying

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Speaker 4: about pet projects and things that will get them re elected. So, yeah,

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Speaker 4: it hits home, but I think it's a national issue

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Speaker 4: because whether it's a local city, local county, we're doing

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Speaker 4: the same thing across this country.

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Speaker 2: Well, no infrastructure has been one of the clarion calls

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Speaker 2: of what people say we need to address. We know

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Speaker 2: that our infrastructure. We know, for example, that our air

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Speaker 2: traffic control systems and equipment is way way out of date,

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Speaker 2: and we've seen incidents as of planes coming out of

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Speaker 2: the sky near near missus and the like on runways.

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Speaker 2: We know that our rail traffic in this country, the

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Speaker 2: lines many times are so outdated and they need vital

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Speaker 2: reconstruction to keep up with the times and the demand.

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Speaker 2: We know that our highway systems and our roads are

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Speaker 2: not where they need to be. Our bridges and power,

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Speaker 2: as you mentioned, there was no redundant pickup power. When

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Speaker 2: this one pole goes out in a city of twenty

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Speaker 2: five thousand catches fire and takes the whole grid down

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Speaker 2: because there's simply no backup plan. There has to be

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Speaker 2: a backup plan, whether it's your electric power system, whether

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Speaker 2: it's your water system, regardless of what the public utility is. Jim,

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Speaker 2: and the Constitution calls for the federal government to do

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Speaker 2: two things, and that's to provide for the common defense

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Speaker 2: and promote the general welfare. And one of the ways

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Speaker 2: in which you promote the general welfare is you make people.

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Speaker 2: You make sure people have a way to continue the

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Speaker 2: life that they're used to and the services that they need,

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Speaker 2: as opposed to anything else that comes after, any other

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Speaker 2: kind of bureaucracy that comes after we are so bloated,

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Speaker 2: and to see it happen and a microcosm, like in

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Speaker 2: the little town in Ohio where you are, it's it's

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Speaker 2: it is all over the country. It's in Cincinnati, it's

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Speaker 2: in Cleveland, it's in Louisville. It's it's the problem with

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Speaker 2: our infrastructure in this country and the attention that needs

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Speaker 2: to be paid to it that's not being paid because

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Speaker 2: there are so many other little bike trails and parks

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Speaker 2: and all the other nice things that are are things

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Speaker 2: that you concentrate on when everything else, the important stuff,

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Speaker 2: is taken care of.

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Speaker 4: Well, you're absolutely right. I call that critical infrastructure. And

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Speaker 4: you know you mentioned it. Whether it's the electricity or

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Speaker 4: water in our communities, or whether it's the air traffic system,

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Speaker 4: this is critical infrastructure. The bridge is all critical infrastructure.

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Speaker 4: And I only wish you know, it's funny you said

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Speaker 4: that about our You know, the national government was supposed

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Speaker 4: to only do a few things. Can you imagine if

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Speaker 4: we could get it back to doing just a few

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Speaker 4: things the post office, interstate commerce, national defense.

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Speaker 1: If you could.

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Speaker 4: Shrink that government down just to doing that, and then

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Speaker 4: let the states start taking care of state issues only,

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Speaker 4: and let the city start taking care of city issues

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Speaker 4: infrastructures only. We have such a much greater country. And

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Speaker 4: by the way, we wouldn't be paying as many taxes

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Speaker 4: or amount.

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Speaker 1: Of taxes like we are.

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Speaker 4: And let's face it, Ohio, the property taxes, everybody knows

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Speaker 4: is a big issue because all they did in the

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Speaker 4: state of Ohio was reduce the tax rates. But like

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Speaker 4: a balloon, when you push one side down, the other

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Speaker 4: side goes up. All of the real estate taxes have

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Speaker 4: now exploded in our state too, and it's just a

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Speaker 4: bloated system from federal to state to local governments that

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Speaker 4: really needs to be looked at.

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Speaker 1: Well.

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Speaker 2: I mean, what has I always try and look and

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Speaker 2: see what is the Department of Energy ever done for

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Speaker 2: me as an American citizen and taxpayer? And I can't

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Speaker 2: think of anything, to be honest with you. The Department

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Speaker 2: of Education never did a darn thing for me as

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Speaker 2: a citizen. And it's not because I don't believe that

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Speaker 2: American children should be provided an education that is befitting

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Speaker 2: of the greatest country on the face of the earth,

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Speaker 2: because we're not getting that right now. And we've had

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Speaker 2: the Department of Education ever since nineteen seventy nine. What

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Speaker 2: has the EPA really done in the last thirty years

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Speaker 2: to help the environment? You know that Marge shot made

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Speaker 2: the horrible statement once of you know, Hitler was good

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Speaker 2: at first and then he went too far. You could

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Speaker 2: say the same things about many of these government bureaucracies.

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Speaker 2: I understand the original inclination to help a certain problem

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Speaker 2: than Americans were some people constituents were calling out for,

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Speaker 2: but really, once they've outlived their usefulness, these government agencies

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Speaker 2: never go away, Jim. And that's a problem.

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Speaker 4: There's there's your answer right there. They just never go away.

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Speaker 4: Not only that, Harry, they never never go away, and

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Speaker 4: they continue to grow. And that's really the problem. So yeah,

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Speaker 4: it's it's interesting we keep doing it. We keep electing

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Speaker 4: the same people. They they keep going to Washington, they

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Speaker 4: keep going to the State House, they keep going to

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Speaker 4: our local city councils. And what I've learned is they

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Speaker 4: just become a rubber stamp. And it really comes down

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Speaker 4: to having key people that say, I mean, look Donald Trump,

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Speaker 4: for those that hate him and those that love him,

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Speaker 4: his greatest asset is he's going to get things done

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Speaker 4: in the best interest that he believes is for the people. Now, well,

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Speaker 4: the way he's doing it is what a lot of

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Speaker 4: people don't like, and that's a whole another story. But

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Speaker 4: you know, politics is about being likable in many ways,

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Speaker 4: and we elect people because we like them, not because

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Speaker 4: they're qualified. And too often we find this that even

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Speaker 4: those that are qualified, like Donald Trump, sometimes does go

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Speaker 4: outside of the bandwidth to be likable, and that causes

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Speaker 4: issues as well. But I'd rather have the qualified person

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Speaker 4: than and that person be unliked than the likable person

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Speaker 4: who is not qualified.

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Speaker 2: Well, I mean the perfect example of a likable person

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Speaker 2: to some people, in some people's eyes, who is not

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Speaker 2: qualified is zeronman Dami in New York. He's preaching the

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Speaker 2: socialist preaching of everything's free and we're going to make

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Speaker 2: everything affordable with the snap of our finger, with the

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Speaker 2: pressing of a ballot here and there. Next Tuesday night,

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Speaker 2: it looks like he's going to win. But there is

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Speaker 2: nothing to say that he is qualified to lead a

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Speaker 2: city of eight million people, is there?

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Speaker 1: No?

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Speaker 4: But that's what happens across the state and across the country.

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Speaker 4: The most likable person gets elected in many, many, many cases.

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Speaker 4: And I said that all along, you can be the

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Speaker 4: most qualified. You know, the elections I lost, I know

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Speaker 4: you talked about that early on. I always chuckle because

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Speaker 4: in many cases, the voters that did not vote for

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Speaker 4: me didn't like the changes I was going to make,

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Speaker 4: which were from a qualified standpoint. I mean, there are

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Speaker 4: still many things that need to be done in our state,

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Speaker 4: and you know, if we don't make those tough decisions

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Speaker 4: in many cases are going to hurt some people that

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Speaker 4: that accept those benefits or whatever, then we're never going

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Speaker 4: to fix our problems. It's why our state government budget

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Speaker 4: has exploded, our federal government budget is exploding, which leads

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Speaker 4: me to when we end this shutdown, which is a

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Speaker 4: whole nother story. But when we end this shutdown, mark

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Speaker 4: what I'm saying, We're going to have Republicans crossover and

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Speaker 4: vote for subsidies that or are supposed to be eliminated

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Speaker 4: to reduce our spending. But they know that they will

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Speaker 4: not get re elected if they don't do that, And

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Speaker 4: that's the problem that we're seeing all across our country.

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Speaker 2: Yeah, I mean, listen, we're seeing that with Democrats right

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Speaker 2: now in this shutdown, because they're so concerned about the

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Speaker 2: hyper left of their base not voting for them in

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Speaker 2: a primary or in an upcoming election in the midterms,

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Speaker 2: that they are dragging their feet by voting for the

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Speaker 2: continuing resolution that doesn't spend any more money and lets

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Speaker 2: them sit down and debate those other subsidies with the Republicans.

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Speaker 2: So the Democrats are playing the same game. Uh, And

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Speaker 2: it's it's really disgusting to see what's being done in

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Speaker 2: our name as taxpayers. Again, these people, this is not

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Speaker 2: their money, this is our money. They don't they're not

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Speaker 2: our bosses. They work for us, supposedly according to the

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Speaker 2: constitution and the structure of our government in this country.

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Speaker 2: And they certainly are not acting like they work for us,

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Speaker 2: are they.

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Speaker 4: Well, Gare I got even one thing that is more shocking.

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Speaker 4: It's not our money, it's our children and grandchildren's money,

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Speaker 4: because it's borrowed money that they're going to have to pay.

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Speaker 2: Right, You're right, they've they've already spent our money.

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Speaker 4: Jim, Yeah, our money has been spent already. They are

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Speaker 4: now spending future generations money. Both again, I always say this,

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Speaker 4: both Republicans and Democrats. I mean, yeah, we can throw

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Speaker 4: point the finger of Democrats right now for not keep

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Speaker 4: not allowing the government open. But what I was trying

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Speaker 4: to say is Republicans are going to reopen it by

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Speaker 4: supporting subsidies for Obamacare, which we're supposed to go away

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Speaker 4: and did go away in the Big Beautiful Bill. And

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Speaker 4: this is what I'm trying to say. People forget they

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Speaker 4: went through this whole process to pass this big beautiful

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Speaker 4: bill which eliminated the subsidies, and watch Republicans cross over

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Speaker 4: and vote for the subsidies to reopen the government. Going forward.

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Speaker 4: That's what I'm saying. It's all about the election, the

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Speaker 4: next election.

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Speaker 2: It's hodorific. Jim Reneesi, thank you so much for your

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Speaker 2: time today. I appreciate it. I always enjoy our conversations.

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Speaker 2: And you know, God has you in Wadsworth right now

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Speaker 2: because by God they need you there. Just remember that.

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Speaker 4: Okay, Well, I appreciate that, and I wish God would

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Speaker 4: keep quit finding me jobs to do.

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Speaker 2: But I always like to go right. I can take

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Speaker 2: care of my friend.

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Speaker 5: Thank you.

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Speaker 2: It has been way too long since we have had

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Speaker 2: a chance to chat with our friend Rick Robinson, and

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Speaker 2: I finally, you know, took the bull by the horns

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Speaker 2: and called him and said, Rick, let's do some radio together,

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Speaker 2: even though for all kinds of reasons we can't be

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Speaker 2: in the studio together. Tonight we are on the phone

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Speaker 2: with the man who wrote the great Book nineteen sixty

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Speaker 2: eight and so many other fantastic pieces of literature, both

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Speaker 2: the fiction and non fiction, and also a lawyer and

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Speaker 2: someone with some deep, deep ties to Washington, d C.

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Speaker 2: And our government in Kentucky and federally, and the guy

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Speaker 2: that has been there, he knows where the bodies are buried.

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Speaker 2: He still hasn't told me exactly where the bodies are buried,

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Speaker 2: but you know then he'd have to kill me.

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Speaker 6: Of course, I have to clean off the shovel first.

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Speaker 2: Good deal, always clean the shovel. Do you use bleach

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Speaker 2: for that or how does that work?

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Speaker 6: You know, it's kind of like.

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Speaker 7: That scene in Goodfellows, you know, you know where they

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Speaker 7: go and they go, what's that?

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Speaker 6: What's that noise in the back of the trunk.

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Speaker 7: We got a problem with this, That's what Democrats and

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Speaker 7: Republicans are saying. We got a problem with this bats thing,

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Speaker 7: this billy bats thing.

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Speaker 2: So uh, let's talk first about the the uh, the

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Speaker 2: elephant and the donkey in the room, which of course

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Speaker 2: is the government shutdown, which continues now for almost a

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Speaker 2: full month. And I think, you know, I know a

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Speaker 2: lot of people thought in the first couple of weeks

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Speaker 2: of it the Democrats were winning the messaging on it.

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Speaker 2: I don't think they still are. And forget about polls.

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Speaker 2: I'm just telling you it's coming more and more into

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Speaker 2: focus that real Americans are being hurt by this with

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Speaker 2: the snap and the WIG program. The Republicans are ready

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Speaker 2: to continue the spending as it was not adding anymore

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Speaker 2: and not adding anything to the big bill that passed

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Speaker 2: July fourth. The Democrats want all kinds of subsidies put

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Speaker 2: back in before there's any negotiation, before they will come

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Speaker 2: to the foe and vote in the Senate. This is

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Speaker 2: being known as the Schumer shut down. And when wick

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Speaker 2: and Snap benefits are cut off and people start losing

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Speaker 2: their paychecks, you got to look at at who's you know.

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Speaker 2: They Democrats keep on asking the Republicans to negotiate. Well,

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Speaker 2: the Republicans already passed the clean cr in the House,

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Speaker 2: so they can negotiate, and Chuck Schumer primarily and some

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Speaker 2: of his Democratic counterparts aren't willing to go ahead and

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Speaker 2: vote because they're afraid of the Marxist left base of

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Speaker 2: their party. And I think that message is starting to

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Speaker 2: resonate with voters.

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Speaker 7: What do you think, Well, I think this is a

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Speaker 7: week actually, Gary Cheff, that this is a good time

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Speaker 7: to be talking about this because it's all going to

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Speaker 7: start coming to a head this week.

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Speaker 6: And when I say that, I mean.

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Speaker 7: Because this is the first round of folks who are

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Speaker 7: still working not getting paychecks, you know, Ran Paul yesterday,

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Speaker 7: I noticed in today this morning's newspaper said, you know,

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Speaker 7: his comment was with his dry sense of humor that

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Speaker 7: he has.

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Speaker 6: I don't know about.

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Speaker 7: You, but I want to make sure that my air

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Speaker 7: traffic controller for my flight back today is is somebody

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Speaker 7: who's getting paid.

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Speaker 6: You know, this is when it's the rubber is starting

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Speaker 6: to hit the road.

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Speaker 7: You're having folks at TSA, You're having folks at the

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Speaker 7: air traffic control of all the military. Are all these

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Speaker 7: people who continue to work without pay? This is coming

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Speaker 7: to a head this week. The other thing, though not

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Speaker 7: really focused upon and any of the media that I'm reading,

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Speaker 7: is that also this week, the people who are the

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Speaker 7: and this comes from actually as you might expect from

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Speaker 7: me from going to a bar recently, this hits with

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Speaker 7: This hits with, you know, the people who are the

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Speaker 7: working poor of America because also in the coming week,

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Speaker 7: they won't start.

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Speaker 6: Getting their new premium.

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Speaker 7: Amounts for their health insurance that they've gotten under the ACA.

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Speaker 7: And it's going to be interesting to see what those

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Speaker 7: premiums do, because you make you know, you're talking about

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Speaker 7: people who, in the instance of the person that I

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Speaker 7: was speaking with, you know, probably I didn't ask her,

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Speaker 7: but probably makes thirty to you know, thirty five thousand

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Speaker 7: a year, you know, takes their tips and.

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Speaker 6: Doesn't declare them.

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Speaker 7: You know, and then gets her her health character the

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Speaker 7: ACA thor the government. If that doubles triples for her,

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Speaker 7: she can't afford it.

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Speaker 6: So it's going to.

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Speaker 7: Be interesting to see what happens this week with all

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Speaker 7: of that coming to fruition, and what's going to happen,

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Speaker 7: you know, in the coming weeks with the shutdown.

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Speaker 2: We'll see the shoe still good, we can be talking

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Speaker 2: about it. The shoe still goes back onto the Democrats'

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Speaker 2: foot when it comes to the ACA subsidies, because they

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Speaker 2: themselves voted to sunset these.

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Speaker 6: Precisely.

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Speaker 2: So I think I think the owners completely goes on

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Speaker 2: the Democrats in all of this.

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Speaker 7: Rick, Well, you know, the the interesting thing is when

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Speaker 7: you talk about the oners, and I've been thinking about

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Speaker 7: this a lot since you and I talked last night

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Speaker 7: and and when we asked me if I was available today.

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Speaker 7: The thing I've been thinking about is what impact will

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Speaker 7: this have on the on the.

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Speaker 6: On the interim elections?

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Speaker 7: And I guess I came to the conclusion that the

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Speaker 7: impact that we'll have is absolutely nothing.

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Speaker 6: So let's that's.

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Speaker 7: A that's a year away, and voters right now, their

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Speaker 7: their memory is is about that of your your standard

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Speaker 7: h standard poodle, you know who you tell to go fitch,

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Speaker 7: fetch a ball and bring it back, and then about

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Speaker 7: two minutes later they forget they're playing toss.

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Speaker 1: Uh.

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Speaker 6: You know, we change as voters.

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Speaker 7: We change so often on the issues that impact us

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Speaker 7: and atther to us that it is hard to tell

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Speaker 7: what this will have a year from now.

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Speaker 2: Yeah, I agree, Uh, I don't think that this is

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Speaker 2: the make or break for the midterms, but there are

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Speaker 2: some races that we need to talk about around the

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Speaker 2: country that are crucial that are coming up next week.

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Speaker 2: And then of course in in Sentina, there is a

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Speaker 2: clear choice between more of the same, unacceptable as the

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Speaker 2: current mayor who's running again actually says about public safety

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Speaker 2: and crime in Cincinnati, and a guy who's offering a

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Speaker 2: fresh alternative but happens to be a Republican. And there

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Speaker 2: hasn't been a Republican elected to a major office in Cincinnati,

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00:27:22,640 --> 00:27:29,080
Speaker 2: and I don't know how long in Corey Bowman and

439
00:27:29,920 --> 00:27:34,000
Speaker 2: these are these are very important crucial elections. But you

440
00:27:34,040 --> 00:27:37,399
Speaker 2: know what, just like the New York City election, don't

441
00:27:37,400 --> 00:27:41,520
Speaker 2: worry about the polls, concern yourself with a turnout, because

442
00:27:41,640 --> 00:27:46,000
Speaker 2: that is going to be the difference precisely. And I

443
00:27:46,119 --> 00:27:47,680
Speaker 2: think it's one of the things go ahead.

444
00:27:49,200 --> 00:27:49,399
Speaker 6: You know.

445
00:27:49,480 --> 00:27:52,720
Speaker 7: One of thing was I was in Washington, DC recently

446
00:27:53,640 --> 00:27:56,640
Speaker 7: up there on a business trip, and the one thing

447
00:27:56,760 --> 00:28:02,520
Speaker 7: that I was was struck by Usually in the year

448
00:28:02,600 --> 00:28:08,200
Speaker 7: out from an interim, one party is feeling a little

449
00:28:08,240 --> 00:28:11,520
Speaker 7: bit like they're being kicked and one party is feeling

450
00:28:11,640 --> 00:28:15,600
Speaker 7: pretty confident about whiter they're headed. It's really interesting in

451
00:28:15,640 --> 00:28:19,159
Speaker 7: there right now because both parties feel that they have

452
00:28:19,359 --> 00:28:22,919
Speaker 7: the edge in the interim. And I think it's interesting

453
00:28:23,000 --> 00:28:25,640
Speaker 7: to look at that because.

454
00:28:25,320 --> 00:28:26,399
Speaker 6: Both of them feel that.

455
00:28:26,680 --> 00:28:30,879
Speaker 7: And when you look at these local elections, what the

456
00:28:31,000 --> 00:28:34,199
Speaker 7: Democrats are really looking at is, yeah, we expect to

457
00:28:34,240 --> 00:28:35,840
Speaker 7: win Democratic.

458
00:28:37,480 --> 00:28:39,600
Speaker 6: These races. You got a couple of.

459
00:28:39,640 --> 00:28:42,360
Speaker 7: Specials coming up next week, you got Tennessee coming up

460
00:28:42,400 --> 00:28:44,360
Speaker 7: in a couple of weeks after that, you got the

461
00:28:44,400 --> 00:28:47,560
Speaker 7: Cincinnati election coming up. They're looking at things and going,

462
00:28:48,040 --> 00:28:49,120
Speaker 7: we should win these.

463
00:28:49,920 --> 00:28:50,160
Speaker 1: Boy.

464
00:28:50,240 --> 00:28:53,080
Speaker 7: I hope the margin is big. But if you get

465
00:28:53,080 --> 00:28:56,680
Speaker 7: to the turnout issue, you're exactly dead on. You get

466
00:28:56,720 --> 00:29:00,920
Speaker 7: to the turnout issue, and maybe it's just about if

467
00:29:00,960 --> 00:29:04,160
Speaker 7: you suddenly look at New Jersey and Virginia and these

468
00:29:04,240 --> 00:29:06,000
Speaker 7: races that are going on, if you look at at

469
00:29:06,000 --> 00:29:09,440
Speaker 7: a slim margin, there's going to be a lot of

470
00:29:09,440 --> 00:29:11,400
Speaker 7: Republicans doing a happy dance in DC.

471
00:29:12,280 --> 00:29:17,560
Speaker 2: Oh. You know what the thing about Virginia specifically, you

472
00:29:17,600 --> 00:29:21,680
Speaker 2: have Winsom Sears, who has been an underdog from the

473
00:29:21,720 --> 00:29:27,000
Speaker 2: time that she announced for for the governorship of Virginia.

474
00:29:27,600 --> 00:29:31,520
Speaker 2: And you know that that is a state that is

475
00:29:31,560 --> 00:29:36,160
Speaker 2: so top heavy in certain sections with federal workers and

476
00:29:36,200 --> 00:29:39,760
Speaker 2: people who work in Washington, d C. That there is.

477
00:29:40,920 --> 00:29:46,000
Speaker 7: An interesting an interesting balance because you have Northern Virginia,

478
00:29:46,120 --> 00:29:48,600
Speaker 7: which is the federal workers, but then you also have

479
00:29:48,680 --> 00:29:50,040
Speaker 7: Norfolk which is all.

480
00:29:49,920 --> 00:29:50,680
Speaker 6: Of the military.

481
00:29:50,920 --> 00:29:55,480
Speaker 2: Uh huh, yeah exactly. And Spamberger has all of the

482
00:29:56,160 --> 00:30:01,880
Speaker 2: Democrat push behind her, and uh actually the Democrat Party

483
00:30:02,160 --> 00:30:06,480
Speaker 2: fully behind Spamberger. But when some Sears has made gains

484
00:30:06,520 --> 00:30:09,720
Speaker 2: that nobody saw coming, and I you know, I want

485
00:30:09,760 --> 00:30:12,000
Speaker 2: to talk about New Jersey for a second. I know

486
00:30:12,080 --> 00:30:14,600
Speaker 2: we're here in the heart of the country, in the heartland,

487
00:30:14,680 --> 00:30:17,320
Speaker 2: and they ignore us in New Jersey most of the time.

488
00:30:17,720 --> 00:30:20,720
Speaker 2: We're not going to ignore them tonight because in a week,

489
00:30:20,760 --> 00:30:27,160
Speaker 2: they will be deciding whether they continue with the same old,

490
00:30:27,320 --> 00:30:32,400
Speaker 2: same old Democrat hierarchy that has existed since Chris Christy

491
00:30:32,480 --> 00:30:36,720
Speaker 2: left office in Mikey Chryl or are they going to

492
00:30:36,760 --> 00:30:39,240
Speaker 2: make real change with Jack Chittarelli, who's now on his

493
00:30:39,360 --> 00:30:42,800
Speaker 2: third run for governor. But this time around, man, it's

494
00:30:42,880 --> 00:30:43,560
Speaker 2: neck and neck.

495
00:30:43,600 --> 00:30:47,200
Speaker 6: In New Jersey, it's neck and neck.

496
00:30:47,280 --> 00:30:49,200
Speaker 7: But I got to believe that the Unions are going

497
00:30:49,240 --> 00:30:51,080
Speaker 7: to get out of a Democratic.

498
00:30:50,600 --> 00:30:53,400
Speaker 6: Vote there just because it's Jersey.

499
00:30:54,120 --> 00:30:57,400
Speaker 7: And the one thing that I I you know, that

500
00:30:57,480 --> 00:30:59,400
Speaker 7: I would would would caution.

501
00:30:59,320 --> 00:31:02,840
Speaker 6: Going in, don't again, if you are on one.

502
00:31:02,640 --> 00:31:07,400
Speaker 7: Side or the other, don't be expecting a big overthrowing either.

503
00:31:07,400 --> 00:31:11,320
Speaker 7: Hear of these races, but look at the margin because

504
00:31:11,360 --> 00:31:13,200
Speaker 7: that's what's going to tell the tale when it comes

505
00:31:13,240 --> 00:31:15,120
Speaker 7: to the interims next year.

506
00:31:15,520 --> 00:31:16,440
Speaker 6: Was going on in the.

507
00:31:16,400 --> 00:31:19,680
Speaker 2: Margins, and I think the margins are going to be

508
00:31:19,720 --> 00:31:23,840
Speaker 2: extremely slim in both cases, Virginia and New Jersey. I

509
00:31:23,920 --> 00:31:24,280
Speaker 2: really did.

510
00:31:24,560 --> 00:31:27,239
Speaker 7: Yeah, you know, and like I said, if we end

511
00:31:27,320 --> 00:31:32,640
Speaker 7: up next week, if we're doing this show on next Wednesday, yeah,

512
00:31:32,760 --> 00:31:35,600
Speaker 7: we're sitting around them. We're looking at the turnout and

513
00:31:35,680 --> 00:31:37,920
Speaker 7: somebody's going to be dancing a jig and somebody is

514
00:31:37,960 --> 00:31:38,920
Speaker 7: going to be shaking.

515
00:31:38,640 --> 00:31:42,560
Speaker 2: Their head, no doubt about it. The New York City

516
00:31:42,640 --> 00:31:47,880
Speaker 2: thing I heard earlier today someone talking and it wasn't

517
00:31:47,880 --> 00:31:51,760
Speaker 2: necessarily a Republican or Republican strategist, but talking about the

518
00:31:51,840 --> 00:31:58,600
Speaker 2: fact that Mandani's lead is now halved over Cuomo. I

519
00:31:58,640 --> 00:32:01,760
Speaker 2: can't imagine Andrew Cuomo, after all of the baggage that

520
00:32:01,800 --> 00:32:06,560
Speaker 2: he's carrying around, would win that that race somehow miraculously

521
00:32:06,600 --> 00:32:10,680
Speaker 2: in New York City over the Communists that's running. Not

522
00:32:10,720 --> 00:32:14,880
Speaker 2: a tim Democratic socialist is just a misnomer for communist

523
00:32:14,960 --> 00:32:18,520
Speaker 2: or Marxist. If you talk about controlling, uh the means

524
00:32:18,520 --> 00:32:22,360
Speaker 2: of production and you're talking about free grocery stores and

525
00:32:22,440 --> 00:32:25,760
Speaker 2: free buses, yeah, they're they're free up to a point

526
00:32:25,840 --> 00:32:27,880
Speaker 2: until you run out of money and you run out

527
00:32:27,880 --> 00:32:30,440
Speaker 2: of rich people to pay them. Uh So.

528
00:32:32,520 --> 00:32:34,920
Speaker 7: The old the old pgo rourk line. You know when

529
00:32:34,920 --> 00:32:37,400
Speaker 7: they talk about healthcare. If you think healthcare is extense,

530
00:32:37,680 --> 00:32:38,800
Speaker 7: now way to it's free.

531
00:32:39,120 --> 00:32:45,280
Speaker 2: Yeah, exactly. So we're looking at that and uh there's

532
00:32:45,600 --> 00:32:48,640
Speaker 2: it's it's all about turnout once again, especially in New

533
00:32:48,720 --> 00:32:52,960
Speaker 2: York City. Think about this, AOC has won this district

534
00:32:52,960 --> 00:32:57,800
Speaker 2: that she's in, uh how many times now three four times.

535
00:32:58,160 --> 00:33:01,080
Speaker 2: It's a district of about a seven hundred and fifty

536
00:33:01,120 --> 00:33:05,840
Speaker 2: eight hundred thousand people. She is one with seventeen thousand votes.

537
00:33:06,640 --> 00:33:10,440
Speaker 2: I mean, it's it's insane how low the voter turnout

538
00:33:10,480 --> 00:33:12,960
Speaker 2: is in this city. And you know what, in Cincinnati,

539
00:33:13,040 --> 00:33:16,680
Speaker 2: it's the same thing. The voter turnout is so pathetic

540
00:33:16,760 --> 00:33:22,280
Speaker 2: Rick that no wonder we get total mediocrity out of

541
00:33:22,320 --> 00:33:25,120
Speaker 2: the people that are elected in Cincinnati to serve as

542
00:33:25,320 --> 00:33:26,800
Speaker 2: mayor and council people.

543
00:33:28,920 --> 00:33:32,640
Speaker 7: It is amazing to me in off ecce election years,

544
00:33:32,760 --> 00:33:37,040
Speaker 7: just the people that don't show up. And when you

545
00:33:37,200 --> 00:33:39,960
Speaker 7: end up getting people that don't show up, you get

546
00:33:40,000 --> 00:33:43,640
Speaker 7: exactly what you voted for, which is you voted for nothing,

547
00:33:43,920 --> 00:33:46,240
Speaker 7: and you get that thing you get when you get

548
00:33:46,280 --> 00:33:46,840
Speaker 7: to that point.

549
00:33:48,160 --> 00:33:52,440
Speaker 2: I don't understand why people who are unhappy with their

550
00:33:52,480 --> 00:33:55,960
Speaker 2: lives and with the service so called in quotes that

551
00:33:56,000 --> 00:34:00,880
Speaker 2: they're receiving from their elected leaders continue to just become

552
00:34:00,960 --> 00:34:03,880
Speaker 2: more and more apathetic over time. It just doesn't make

553
00:34:03,920 --> 00:34:07,800
Speaker 2: any sense to me. And I'm someone who the first

554
00:34:07,880 --> 00:34:10,600
Speaker 2: chance I had to vote in an election was nineteen

555
00:34:10,640 --> 00:34:13,879
Speaker 2: eighty and I pretty much have voted every single time

556
00:34:13,920 --> 00:34:17,399
Speaker 2: I've had the opportunity, maybe save one or two over

557
00:34:17,440 --> 00:34:19,920
Speaker 2: the last forty five years.

558
00:34:20,520 --> 00:34:22,600
Speaker 7: I had a few years on you, and I think

559
00:34:22,680 --> 00:34:25,120
Speaker 7: my first was seventy six. But you are exactly right.

560
00:34:25,160 --> 00:34:28,600
Speaker 7: I voted every time I've had the opportunity to. I

561
00:34:28,640 --> 00:34:31,440
Speaker 7: can't think of any that I've missed over the years,

562
00:34:31,800 --> 00:34:33,719
Speaker 7: although you know, I do have to look at it here.

563
00:34:33,719 --> 00:34:38,680
Speaker 7: I I want to become a Charter right. I don't

564
00:34:38,680 --> 00:34:40,439
Speaker 7: even know what that means, but it's kind of cool

565
00:34:40,480 --> 00:34:44,200
Speaker 7: to not be a Republican or a Democrat. You know,

566
00:34:44,320 --> 00:34:48,400
Speaker 7: I'm thinking of because I've been thinking about changing my

567
00:34:48,440 --> 00:34:50,200
Speaker 7: party registration to WIG.

568
00:34:52,400 --> 00:34:53,400
Speaker 6: You know, you know.

569
00:34:53,480 --> 00:34:57,000
Speaker 7: But the idea that you could have a third party

570
00:34:57,040 --> 00:35:01,799
Speaker 7: that actually still gets attention love that. I think that's

571
00:35:01,920 --> 00:35:03,920
Speaker 7: one thing that I love about Cincinnati.

572
00:35:05,200 --> 00:35:09,120
Speaker 2: I know plenty plenty of Libertarians, but I don't know

573
00:35:09,200 --> 00:35:12,680
Speaker 2: many Libertarians who've gotten elected to office truly.

574
00:35:14,160 --> 00:35:18,759
Speaker 6: Well you know, we we've they have gotten elected.

575
00:35:19,400 --> 00:35:19,640
Speaker 5: Uh.

576
00:35:19,719 --> 00:35:22,520
Speaker 7: If you look at for instance, in Kentucky, you look

577
00:35:22,560 --> 00:35:27,080
Speaker 7: at Ken Paul and you are Ken Paul uh Rand Paul.

578
00:35:27,480 --> 00:35:31,399
Speaker 7: Ken Paul was an old uh uh politician over here

579
00:35:31,400 --> 00:35:33,759
Speaker 7: in northern Kentucky and you look at uh.

580
00:35:35,800 --> 00:35:36,680
Speaker 6: I mean, you have.

581
00:35:36,719 --> 00:35:42,000
Speaker 7: Two people that impact our little L Libertarians in their

582
00:35:42,080 --> 00:35:42,920
Speaker 7: view of government.

583
00:35:43,040 --> 00:35:45,959
Speaker 6: They they don't belong to the party.

584
00:35:46,000 --> 00:35:46,120
Speaker 1: Now.

585
00:35:46,160 --> 00:35:48,160
Speaker 7: The interesting thing, and I don't know if it still

586
00:35:48,280 --> 00:35:51,319
Speaker 7: is the case, you know, but Alaska was pretty was

587
00:35:51,440 --> 00:35:59,280
Speaker 7: divided up between Republican Democrat independence and Big L Party Libertarians. Well,

588
00:35:59,520 --> 00:36:02,520
Speaker 7: I mean you which made some of their legislative sessions

589
00:36:02,520 --> 00:36:04,120
Speaker 7: for a long time very interesting.

590
00:36:04,280 --> 00:36:10,239
Speaker 2: Well, to paraphrase about to paraphrase phrase, Sam wish you

591
00:36:10,280 --> 00:36:12,640
Speaker 2: don't live in Alaska. You live in northern Kentucky.

592
00:36:14,000 --> 00:36:17,480
Speaker 7: Listen, Rick, Well it's less you here to throw snowballs

593
00:36:17,560 --> 00:36:19,720
Speaker 7: so in Alaska than it is northern Kentucky.

594
00:36:19,760 --> 00:36:21,719
Speaker 2: So well, listen. I wanted to let you know, Rick,

595
00:36:21,880 --> 00:36:25,680
Speaker 2: I will be on next Tuesday night from nine till

596
00:36:25,719 --> 00:36:30,000
Speaker 2: midnight on election night, and if you have any time

597
00:36:30,040 --> 00:36:33,120
Speaker 2: while we're looking at results and you'd like to speak

598
00:36:33,160 --> 00:36:36,800
Speaker 2: again to see if we're doing a jigger shaking our heads,

599
00:36:37,080 --> 00:36:39,440
Speaker 2: I'd love to have you on. It's all according to

600
00:36:39,480 --> 00:36:40,359
Speaker 2: your availability.

601
00:36:41,440 --> 00:36:44,080
Speaker 6: I'll be glad. I'll be glad to love to come on.

602
00:36:44,239 --> 00:36:47,640
Speaker 7: You know, I always enjoy you know, election nights are

603
00:36:47,760 --> 00:36:50,640
Speaker 7: to me so special because it's the one time where

604
00:36:50,680 --> 00:36:54,160
Speaker 7: we show our we show our freedom, we show our liberty, walkout,

605
00:36:54,480 --> 00:36:56,360
Speaker 7: you know. To me, it's the grade of son Christian

606
00:36:56,400 --> 00:36:57,719
Speaker 7: holiday that we have in.

607
00:36:57,760 --> 00:37:02,560
Speaker 6: The election day. I love I love those days so well.

608
00:37:03,480 --> 00:37:03,759
Speaker 6: You know what.

609
00:37:03,840 --> 00:37:07,840
Speaker 2: That reminds me of a quote from my former program

610
00:37:07,880 --> 00:37:11,720
Speaker 2: director here, Darryl Parks, who always said politics are sports

611
00:37:11,760 --> 00:37:16,400
Speaker 2: for geeks. Congratulations, right, have a good.

612
00:37:16,280 --> 00:37:19,280
Speaker 1: Night, brother, Yes they are YouTube all right?

613
00:37:19,600 --> 00:37:24,800
Speaker 2: Rick Robinson on the Nightcap as we continue. Just ahead,

614
00:37:25,120 --> 00:37:30,040
Speaker 2: we have the Jim Lebarbara Rock and Roll archaeology segment

615
00:37:30,120 --> 00:37:34,040
Speaker 2: from this past Saturday morning. Because some people just can't

616
00:37:34,040 --> 00:37:38,359
Speaker 2: get up in time. And I'm a nice guy. It's

617
00:37:38,360 --> 00:37:43,640
Speaker 2: the Nightcap on seven hundred w l W. As I

618
00:37:43,680 --> 00:37:47,080
Speaker 2: mentioned before the break, we are welcoming back Doomsday. Dave

619
00:37:47,360 --> 00:37:51,200
Speaker 2: the Mad Hatter, tech talk guy on a Tuesday night

620
00:37:51,320 --> 00:37:53,919
Speaker 2: on a nightcap on seven hundred w l W, Garry

621
00:37:54,000 --> 00:37:57,720
Speaker 2: Jeff and the aforementioned Dave Hatter, who was speaking today

622
00:37:57,760 --> 00:38:00,440
Speaker 2: in Lexington. I don't I don't know who he was

623
00:38:00,480 --> 00:38:03,960
Speaker 2: speaking to, but boy, aren't they lucky people? And now

624
00:38:04,000 --> 00:38:04,960
Speaker 2: he's speaking to us.

625
00:38:05,560 --> 00:38:08,759
Speaker 1: Dave, how are you I'm good and thank you for

626
00:38:08,800 --> 00:38:09,640
Speaker 1: the kind compliment.

627
00:38:09,680 --> 00:38:10,440
Speaker 5: I appreciate that.

628
00:38:11,200 --> 00:38:13,680
Speaker 2: It's always good to have you on lots of great

629
00:38:13,719 --> 00:38:18,800
Speaker 2: information for people as we live in this crazy cyber

630
00:38:19,000 --> 00:38:23,360
Speaker 2: world Internet of things, place that doesn't seem real. Sometimes

631
00:38:23,400 --> 00:38:29,000
Speaker 2: speaking of not seeming real, sometimes human detection of political speech,

632
00:38:29,120 --> 00:38:34,719
Speaker 2: deep fakes are becoming more and more widespread. Is that

633
00:38:34,719 --> 00:38:35,279
Speaker 2: true or not.

634
00:38:36,680 --> 00:38:39,440
Speaker 1: Yeah, this is a recent study, and I'm not at

635
00:38:39,480 --> 00:38:42,680
Speaker 1: all surprised by the findings. I think if anyone just

636
00:38:42,719 --> 00:38:45,799
Speaker 1: goes online and hits a site like Google's vo three

637
00:38:46,760 --> 00:38:52,120
Speaker 1: or open ai Sora, you can create incredibly realistic videos

638
00:38:52,160 --> 00:38:55,040
Speaker 1: at this point. And you know, certainly if you train

639
00:38:55,120 --> 00:38:57,800
Speaker 1: the model with a real person's voice, you can create

640
00:38:57,800 --> 00:39:00,279
Speaker 1: things that are going to seem very realistic see a

641
00:39:00,360 --> 00:39:03,160
Speaker 1: first glance. So, you know, Gary, Jeff, you and I

642
00:39:03,160 --> 00:39:05,080
Speaker 1: have been talking about this for years. People have been

643
00:39:05,120 --> 00:39:07,920
Speaker 1: warning about deep fake and you know, just the general

644
00:39:08,000 --> 00:39:11,200
Speaker 1: negative impact on society of deep fakes. But I think,

645
00:39:11,239 --> 00:39:13,839
Speaker 1: you know, I'm a little surprised this didn't play out

646
00:39:13,840 --> 00:39:16,439
Speaker 1: more in the last election cycle. As we head into

647
00:39:16,480 --> 00:39:19,480
Speaker 1: the midterms and another presidential election in twenty twenty eight,

648
00:39:20,040 --> 00:39:21,840
Speaker 1: it's hard for me to believe this isn't going to

649
00:39:21,880 --> 00:39:24,759
Speaker 1: have more impact because the quality of these continue to

650
00:39:24,840 --> 00:39:28,439
Speaker 1: improve very rapidly, and I don't think most people really

651
00:39:28,560 --> 00:39:32,799
Speaker 1: understand just how realistic these things already are. Again, I

652
00:39:33,560 --> 00:39:36,879
Speaker 1: go check out VO three, go check out Soora, see

653
00:39:36,880 --> 00:39:39,640
Speaker 1: what they're capable of, and I think the average person

654
00:39:39,640 --> 00:39:41,759
Speaker 1: that they haven't seen these things will be shocked at

655
00:39:41,800 --> 00:39:45,279
Speaker 1: how realistic this video is. It's only going to improve. So,

656
00:39:45,480 --> 00:39:48,080
Speaker 1: you know, I think it gets us back to you

657
00:39:48,200 --> 00:39:50,600
Speaker 1: really are now out of place where you can't believe

658
00:39:50,840 --> 00:39:54,320
Speaker 1: anything that you see, and you have to verify everything

659
00:39:54,440 --> 00:39:58,640
Speaker 1: because there's a strong possibility, especially if it impacts anything

660
00:39:58,640 --> 00:40:00,480
Speaker 1: important in the real world, that it fake.

661
00:40:00,719 --> 00:40:02,759
Speaker 2: Well, see, there are the problem with this is there

662
00:40:02,760 --> 00:40:06,440
Speaker 2: are so many examples of real videos out there that

663
00:40:06,520 --> 00:40:09,640
Speaker 2: are so hard to believe. I mean, if you you

664
00:40:09,680 --> 00:40:12,400
Speaker 2: look at say the Katie Porter woman who's running for

665
00:40:12,400 --> 00:40:17,520
Speaker 2: governor out in California, I mean, there's absolutely bonafide evidence

666
00:40:17,600 --> 00:40:22,520
Speaker 2: that she's said some bonafide awful things on camera and

667
00:40:22,560 --> 00:40:26,440
Speaker 2: embarrassed herself. And then you introduce the deep Fix into

668
00:40:26,480 --> 00:40:30,480
Speaker 2: this pool, this cesspool of information that the voters are

669
00:40:30,520 --> 00:40:34,640
Speaker 2: trying to glean from. I mean, there's a lot of

670
00:40:34,680 --> 00:40:38,560
Speaker 2: stuff that we know is real, it's really hard to believe.

671
00:40:38,600 --> 00:40:42,120
Speaker 1: Would you agree, yes, And I think you're making a

672
00:40:42,160 --> 00:40:45,080
Speaker 1: really interesting point, but kind of from the alternative approach

673
00:40:45,160 --> 00:40:47,919
Speaker 1: I was coming from that people will create deep sake

674
00:40:48,080 --> 00:40:51,960
Speaker 1: videos that are false to you know, put forth the

675
00:40:52,080 --> 00:40:56,520
Speaker 1: narrative to make the candidate look bad whatever. But you now,

676
00:40:56,640 --> 00:40:59,360
Speaker 1: because of the quality of these things, have the opposite

677
00:40:59,400 --> 00:41:02,359
Speaker 1: potentiue where someone says, well, I didn't actually say that,

678
00:41:02,360 --> 00:41:05,560
Speaker 1: that's a deep take. And you know, if you if

679
00:41:05,560 --> 00:41:08,160
Speaker 1: you get down to the last minute before an election,

680
00:41:08,440 --> 00:41:12,239
Speaker 1: right during the last day or two, whether something services

681
00:41:12,280 --> 00:41:14,279
Speaker 1: it's real, and then someone wants to claim it's a

682
00:41:14,320 --> 00:41:16,879
Speaker 1: deep take, or vice versus, someone creates a deep fake

683
00:41:17,400 --> 00:41:19,799
Speaker 1: to paint someone in a negative light and releases it.

684
00:41:19,840 --> 00:41:22,520
Speaker 1: You know, thanks to the speed of social media and

685
00:41:22,600 --> 00:41:26,160
Speaker 1: the difficulty of vetting these things, sometimes you know, it

686
00:41:26,160 --> 00:41:30,520
Speaker 1: can have a real negative impact on an election. Not

687
00:41:30,640 --> 00:41:33,760
Speaker 1: to mention Gary Jeff Okay, I want to frame someone

688
00:41:33,800 --> 00:41:36,320
Speaker 1: for committing a crime, well, here's a video or audio

689
00:41:36,360 --> 00:41:38,279
Speaker 1: of them sitting or doing something they didn't do. Or

690
00:41:38,320 --> 00:41:41,000
Speaker 1: again vice versa, I show up in court and say, well,

691
00:41:41,000 --> 00:41:44,080
Speaker 1: that's not me. That's a deep fath So you know,

692
00:41:44,120 --> 00:41:48,560
Speaker 1: we're headed into really uncharted waters with this AI generative

693
00:41:48,600 --> 00:41:51,439
Speaker 1: AI capability to create audio and video. And the last

694
00:41:51,480 --> 00:41:53,160
Speaker 1: point I would make about it is, I just want

695
00:41:53,200 --> 00:41:56,000
Speaker 1: to reiterate this. Thok. Don't take my word for it.

696
00:41:56,040 --> 00:41:59,680
Speaker 1: Go see these things for yourself, and be aware that

697
00:42:00,080 --> 00:42:03,719
Speaker 1: any phone call you get, any conversation you have, you

698
00:42:03,840 --> 00:42:07,000
Speaker 1: could be talking to someone that has stolen the voice.

699
00:42:07,120 --> 00:42:09,520
Speaker 1: People will say, well, I'm I'm not a radio celebrity

700
00:42:09,520 --> 00:42:11,640
Speaker 1: like Gary Jeff Walker. How would you get my voice?

701
00:42:11,760 --> 00:42:14,040
Speaker 1: You got a voicemail greeting on your phone? Because that

702
00:42:14,160 --> 00:42:17,000
Speaker 1: you do, I can record your voicemail greeting, feed it

703
00:42:17,000 --> 00:42:19,680
Speaker 1: into one of these free tools, and I can be

704
00:42:19,840 --> 00:42:22,160
Speaker 1: you in about fifteen minutes. I have actually done this

705
00:42:22,280 --> 00:42:25,160
Speaker 1: several times to prove to people it's real. This is

706
00:42:25,160 --> 00:42:27,879
Speaker 1: a real thing, and it's it's gonna get worse before

707
00:42:27,920 --> 00:42:29,680
Speaker 1: it gets better. People get to be skeptical.

708
00:42:29,880 --> 00:42:31,840
Speaker 2: Dave Hatter, I'm just flattered that you called me a

709
00:42:31,960 --> 00:42:34,360
Speaker 2: radio personality. That's so nice.

710
00:42:34,840 --> 00:42:38,120
Speaker 1: Celebrity, Gary Jeff not just a personality, but it's celet celebrity.

711
00:42:38,480 --> 00:42:43,400
Speaker 2: Wow, this is why I have you on. You know,

712
00:42:44,320 --> 00:42:46,719
Speaker 2: here's another story for Dave Hatter tonight on the Night

713
00:42:46,760 --> 00:42:51,040
Speaker 2: Cap AI attacks Surge. I didn't know that AI was

714
00:42:51,080 --> 00:42:52,680
Speaker 2: here to attack US. I thought it was here to

715
00:42:52,760 --> 00:42:58,560
Speaker 2: help US. AI attack surge. As Microsoft process one hundred

716
00:42:58,719 --> 00:43:04,239
Speaker 2: trillion signals daily, number one, what are AI attacks and

717
00:43:04,920 --> 00:43:07,640
Speaker 2: how can there possibly be that many signals every day?

718
00:43:08,800 --> 00:43:11,880
Speaker 1: Well, you have to understand how they define signal. But

719
00:43:11,920 --> 00:43:15,160
Speaker 1: think about that for a second. One hundred trillion trillion,

720
00:43:15,280 --> 00:43:19,560
Speaker 1: not billions with a trillion with with a trill. Yeah,

721
00:43:19,600 --> 00:43:21,920
Speaker 1: And I mean if you think about just the vast

722
00:43:22,200 --> 00:43:25,440
Speaker 1: scale of that, and that's every day. So Microsoft obviously

723
00:43:25,440 --> 00:43:28,840
Speaker 1: has a huge footprint many you know, millions of companies

724
00:43:28,920 --> 00:43:33,000
Speaker 1: are using the Microsoft platform microsoftly sixty five as you're

725
00:43:33,040 --> 00:43:36,040
Speaker 1: etc to run their businesses out of their clouds. So

726
00:43:36,080 --> 00:43:37,640
Speaker 1: I think you know, at first off, it shows you

727
00:43:37,760 --> 00:43:40,719
Speaker 1: the sheer scale that they're dealing with. And secondarily, I

728
00:43:40,719 --> 00:43:43,040
Speaker 1: would argue, now you may not be a Microsoft fan,

729
00:43:43,520 --> 00:43:45,640
Speaker 1: but I would argue that the sheer volume they're dealing

730
00:43:45,640 --> 00:43:48,680
Speaker 1: with gives you some insight into the fact that they

731
00:43:48,719 --> 00:43:50,520
Speaker 1: know what they're talking about. When they tell you you

732
00:43:50,560 --> 00:43:53,960
Speaker 1: should do X, Y or C, you know that number

733
00:43:54,000 --> 00:43:56,560
Speaker 1: has gone up drastically in the last few years. I

734
00:43:56,560 --> 00:43:59,200
Speaker 1: can remember a few years ago. Fighting is very statistic,

735
00:43:59,239 --> 00:44:01,320
Speaker 1: and I think it was like a trigger signals today.

736
00:44:02,000 --> 00:44:04,520
Speaker 1: So I think it's a combination of more people using

737
00:44:04,520 --> 00:44:07,920
Speaker 1: their platform, more attacks directed at their platform as a result.

738
00:44:07,960 --> 00:44:09,960
Speaker 1: And then you know the angle this articles taking that

739
00:44:10,040 --> 00:44:12,840
Speaker 1: AI is hewing these attacks. You know, AI can be

740
00:44:12,920 --> 00:44:15,800
Speaker 1: used in all kinds of different ways, in some beneficial ways,

741
00:44:16,239 --> 00:44:18,960
Speaker 1: in some malignant ways. In this particular case, it might

742
00:44:19,000 --> 00:44:23,040
Speaker 1: be okay, instead of me as a hacker trying to

743
00:44:23,120 --> 00:44:26,080
Speaker 1: log into people's accounts because they have bad passwords, and

744
00:44:26,080 --> 00:44:28,800
Speaker 1: they'll multifactor authentication, which by the way, is one of

745
00:44:28,840 --> 00:44:31,560
Speaker 1: the things Microsoft says is part of this report. You

746
00:44:31,600 --> 00:44:35,439
Speaker 1: should be using multi factor authentication instead of me sitting

747
00:44:35,480 --> 00:44:37,440
Speaker 1: there doing that. I could use some sort of AI

748
00:44:37,520 --> 00:44:39,840
Speaker 1: agent to try to do that on my behalf. You know,

749
00:44:39,960 --> 00:44:42,160
Speaker 1: it doesn't get tired, it doesn't take breaks, it doesn't

750
00:44:42,200 --> 00:44:45,720
Speaker 1: call in sinct, so you know, bad guys are using AI.

751
00:44:45,920 --> 00:44:48,440
Speaker 1: There was a recent story from Perplexity, a company that

752
00:44:48,520 --> 00:44:52,000
Speaker 1: builds these AI chat pots, that a hacker basically use

753
00:44:52,080 --> 00:44:54,680
Speaker 1: their platform to do a bunch of research to find

754
00:44:54,680 --> 00:44:59,000
Speaker 1: companies that had none vulnerabilities, then build attacks against those

755
00:44:59,080 --> 00:45:03,640
Speaker 1: non vulnerabilities, deal whatever they could analyze the data using

756
00:45:03,640 --> 00:45:06,520
Speaker 1: the AI tool to figure out how could they get

757
00:45:06,600 --> 00:45:09,799
Speaker 1: money out of these people, So you know, whether it's

758
00:45:09,800 --> 00:45:12,120
Speaker 1: the deep sake angle we just talked about before, or

759
00:45:12,239 --> 00:45:16,080
Speaker 1: using this, you know, automated capabilities to help you find

760
00:45:16,200 --> 00:45:19,319
Speaker 1: problems to exploit, to help you figure out how to

761
00:45:19,360 --> 00:45:22,279
Speaker 1: exploit problems once you've found them, to figure out how

762
00:45:22,320 --> 00:45:25,160
Speaker 1: to analyze whatever you've stolen, to figure out where it

763
00:45:25,200 --> 00:45:28,279
Speaker 1: might have some value, you know, sadly per Microsoft, it's

764
00:45:28,280 --> 00:45:30,719
Speaker 1: all of those things. And then that report again, I

765
00:45:30,719 --> 00:45:32,680
Speaker 1: just want to reiterate because I say this all the time,

766
00:45:32,719 --> 00:45:35,759
Speaker 1: and I know people roll their eyes. Whether it's Microsoft,

767
00:45:35,800 --> 00:45:40,799
Speaker 1: it's Google, it's DHS, it's FBI. Multifacture authentication keeps coming up.

768
00:45:40,840 --> 00:45:42,560
Speaker 1: It's one of the most basic things you can do

769
00:45:42,600 --> 00:45:45,400
Speaker 1: to protect your accounts, your personal accounts, your business accounts.

770
00:45:45,760 --> 00:45:48,960
Speaker 1: It is not foolproof. Bad guys are increasingly coming up

771
00:45:49,000 --> 00:45:52,279
Speaker 1: with ways to work around multi factor authentication to be

772
00:45:52,320 --> 00:45:55,799
Speaker 1: able to get into your accounts anyway. But Microsoft just

773
00:45:55,840 --> 00:45:58,520
Speaker 1: said in this most recent report that it will block

774
00:45:58,880 --> 00:46:02,640
Speaker 1: as up to nine nine of credential based attacks In

775
00:46:02,680 --> 00:46:05,120
Speaker 1: other words, I'm trying to use trying to get your

776
00:46:05,200 --> 00:46:08,480
Speaker 1: username of password and then log into your account to

777
00:46:08,520 --> 00:46:10,279
Speaker 1: see what I can steal, to figure out how I

778
00:46:10,280 --> 00:46:13,320
Speaker 1: can maneuver around through your environment until I find something

779
00:46:13,320 --> 00:46:15,919
Speaker 1: more stew or to send out things you know under

780
00:46:15,920 --> 00:46:19,200
Speaker 1: your name because I'm impersonating you. Account takeovers are the

781
00:46:19,239 --> 00:46:21,720
Speaker 1: main type of attack that we see in our business.

782
00:46:21,719 --> 00:46:25,160
Speaker 1: Carry Jeff, and again, multi factor authentication it's not perfect,

783
00:46:25,640 --> 00:46:27,520
Speaker 1: but it will block a lot of this stuff. And

784
00:46:27,600 --> 00:46:30,839
Speaker 1: unless you are being explicitly targeted, most bad guys will

785
00:46:30,880 --> 00:46:33,160
Speaker 1: just move on to a softer target. So again, don't

786
00:46:33,160 --> 00:46:35,440
Speaker 1: take my words for it. See what Microsoftware the FBI

787
00:46:35,520 --> 00:46:36,279
Speaker 1: has to say about this.

788
00:46:36,360 --> 00:46:42,920
Speaker 2: Well, yeah, the thing is, Dave, is that multi factor

789
00:46:43,000 --> 00:46:46,680
Speaker 2: authentication is really not hard to use. I mean, I

790
00:46:46,840 --> 00:46:51,320
Speaker 2: use it every day here so I can get paid.

791
00:46:51,640 --> 00:46:53,879
Speaker 2: To fill out my time card, I have to use

792
00:46:53,960 --> 00:46:57,439
Speaker 2: an MFA and it's it takes me an extra two

793
00:46:57,600 --> 00:47:02,080
Speaker 2: seconds of time to use MFA, and yet it protects

794
00:47:02,800 --> 00:47:07,239
Speaker 2: my time card, it protects the company from someone you know,

795
00:47:07,960 --> 00:47:10,960
Speaker 2: getting involved in something that they don't belong in.

796
00:47:12,360 --> 00:47:15,840
Speaker 1: It's again, it's not foolproof, but it is trivially easy

797
00:47:15,840 --> 00:47:18,520
Speaker 1: to configure. It doesn't take very long. I know people

798
00:47:18,600 --> 00:47:20,840
Speaker 1: get frustrated to have to keep entering those codes, but

799
00:47:21,800 --> 00:47:25,600
Speaker 1: it really, truly is one of the simplest things, and

800
00:47:25,680 --> 00:47:28,239
Speaker 1: it's free. I might add that you can do to

801
00:47:28,320 --> 00:47:31,160
Speaker 1: protect your personal accounts, to protect your business accounts. And

802
00:47:31,560 --> 00:47:34,120
Speaker 1: people will also say things to me like, well, why

803
00:47:34,120 --> 00:47:36,359
Speaker 1: do I care if someone gets into my email? Why

804
00:47:36,360 --> 00:47:38,279
Speaker 1: do I care about MFA? Why do I care about

805
00:47:38,320 --> 00:47:40,959
Speaker 1: having a strong, unique password all that stuff? View pointy

806
00:47:41,000 --> 00:47:42,839
Speaker 1: heads tell me, Dave, why do I care about that?

807
00:47:43,520 --> 00:47:46,080
Speaker 1: If I can get into your email account? Think about

808
00:47:46,120 --> 00:47:48,239
Speaker 1: this for a second carriage, Jeff. If you forget your

809
00:47:48,280 --> 00:47:51,719
Speaker 1: password for any website out there, how does that usually work? Well,

810
00:47:51,760 --> 00:47:53,799
Speaker 1: it sends an email to the email account you have

811
00:47:53,880 --> 00:47:57,080
Speaker 1: on file. If I can get into your email account

812
00:47:57,120 --> 00:47:59,719
Speaker 1: and I can see any of the any website you

813
00:48:00,160 --> 00:48:03,160
Speaker 1: interacted with, I can potentially go there ask for a

814
00:48:03,200 --> 00:48:06,880
Speaker 1: password reset. It comes to your now compromised email box.

815
00:48:06,920 --> 00:48:09,759
Speaker 1: That is a bad actor I'm controlling. I reset all

816
00:48:09,760 --> 00:48:13,000
Speaker 1: your passwords. I take over all your accounts, your bank,

817
00:48:13,280 --> 00:48:16,480
Speaker 1: your insurance, you name it. I can potentially take over

818
00:48:16,560 --> 00:48:19,480
Speaker 1: all of your accounts if I can compromise one or

819
00:48:19,480 --> 00:48:20,440
Speaker 1: more of your email.

820
00:48:20,160 --> 00:48:26,439
Speaker 2: Account because so it will ask you forgot your password. Yeah,

821
00:48:26,600 --> 00:48:28,600
Speaker 2: and it's just a few hoops you've got to jump

822
00:48:28,640 --> 00:48:31,200
Speaker 2: through to have a new password. And then the person

823
00:48:31,239 --> 00:48:33,600
Speaker 2: who was hacked into your email and gotten into your

824
00:48:33,640 --> 00:48:37,840
Speaker 2: accounts you can't get into your account because the password

825
00:48:37,880 --> 00:48:40,680
Speaker 2: is no longer the same and somebody else that is

826
00:48:40,880 --> 00:48:43,319
Speaker 2: just wreaking havoc in your name.

827
00:48:44,600 --> 00:48:48,240
Speaker 1: Sadly, that is exactly correct. I've seen it happen many times.

828
00:48:48,320 --> 00:48:51,960
Speaker 1: And this is why you really need to consider your

829
00:48:52,080 --> 00:48:55,960
Speaker 1: email account or accounts highly sensitive. You need to have

830
00:48:56,000 --> 00:48:58,799
Speaker 1: a strong, unique password for each one. You need to

831
00:48:58,840 --> 00:49:00,759
Speaker 1: turn on MSA on as a time house, because again,

832
00:49:00,840 --> 00:49:03,719
Speaker 1: if I get into your email, it's entirely possible I

833
00:49:03,760 --> 00:49:07,000
Speaker 1: will literally take over your whole life and do who

834
00:49:07,000 --> 00:49:07,600
Speaker 1: knows what to you.

835
00:49:08,080 --> 00:49:14,240
Speaker 2: And once again, MFA means multi factor authentication, nothing else,

836
00:49:14,640 --> 00:49:19,000
Speaker 2: all right, correct? Next story Dave hadd sixty minutes spotlighting

837
00:49:19,120 --> 00:49:23,000
Speaker 2: Chinese hacking of Massachusetts town's utility network. I just had

838
00:49:23,000 --> 00:49:27,839
Speaker 2: this conversation with Jim Ornac earlier tonight. He's now temporarily

839
00:49:27,880 --> 00:49:30,560
Speaker 2: on the city council of his hometown of Wadsworth, Ohio,

840
00:49:30,640 --> 00:49:34,920
Speaker 2: where he once once mayor and they had a problem

841
00:49:35,560 --> 00:49:38,720
Speaker 2: with their power grid. They were out for like twelve

842
00:49:38,800 --> 00:49:41,520
Speaker 2: hours because one poll went down in a town of

843
00:49:41,560 --> 00:49:45,960
Speaker 2: twenty five thousand people and there was no backup grid.

844
00:49:47,160 --> 00:49:52,480
Speaker 2: So anyway, this Chinese hacking of a town's utility network

845
00:49:52,760 --> 00:49:57,120
Speaker 2: is equally problematic and something that these city councils and

846
00:49:57,680 --> 00:50:00,000
Speaker 2: state governments, alot of the federal government is going out,

847
00:50:00,120 --> 00:50:00,920
Speaker 2: have to address.

848
00:50:02,280 --> 00:50:04,920
Speaker 1: Couldn't agree with you more this. This really keeps me

849
00:50:05,000 --> 00:50:08,000
Speaker 1: up at night, especially when I put my mare's hat on. Gary, Jeff, Now,

850
00:50:08,040 --> 00:50:11,920
Speaker 1: you know we don't supply utilities to the residents of

851
00:50:11,960 --> 00:50:14,880
Speaker 1: Fort right. You know, the water comes from the water district,

852
00:50:15,040 --> 00:50:18,359
Speaker 1: sanitation comes from the sanitation district, the electricity comes from Duke.

853
00:50:18,400 --> 00:50:21,520
Speaker 1: But that's not the case across many states and across

854
00:50:21,520 --> 00:50:25,120
Speaker 1: many municipalities. And again, I'm really glad you brought this up, because,

855
00:50:25,120 --> 00:50:27,399
Speaker 1: first off, it's a great opportunity for me to get

856
00:50:27,400 --> 00:50:30,680
Speaker 1: on my soapbox a little at. Ohio recently passed the

857
00:50:30,760 --> 00:50:33,920
Speaker 1: law House Bill ninety six. Jim will probably know about this.

858
00:50:34,520 --> 00:50:39,600
Speaker 1: House Bill ninety six requires all quote political subdivisions unquote

859
00:50:39,600 --> 00:50:44,440
Speaker 1: in Ohio, think local governments to implement certain cybersecurity protections.

860
00:50:44,480 --> 00:50:47,480
Speaker 1: Now it's not they're not asking you, they're telling you

861
00:50:47,480 --> 00:50:50,640
Speaker 1: you must do this. There's three things, one of which

862
00:50:50,680 --> 00:50:55,800
Speaker 1: includes a cybersecurity program. Is this perfect? No, It's a

863
00:50:55,800 --> 00:50:58,680
Speaker 1: great step in the right direction, though, because now it's

864
00:50:58,760 --> 00:51:02,280
Speaker 1: forcing local governments to start to take these things seriously

865
00:51:02,640 --> 00:51:05,839
Speaker 1: with potential consequences that they don't. I bring that up

866
00:51:05,840 --> 00:51:08,400
Speaker 1: before I answer your specific question, because I think you

867
00:51:08,440 --> 00:51:10,200
Speaker 1: and I have talked about this before. I've been working

868
00:51:10,239 --> 00:51:13,520
Speaker 1: for a long time in Kentucky to get Kentucky to

869
00:51:13,560 --> 00:51:18,000
Speaker 1: follow Ohio's lead on many cybersecurity right of things. Ohio,

870
00:51:18,480 --> 00:51:20,759
Speaker 1: to a large extent, has their act together, is doing

871
00:51:20,800 --> 00:51:23,680
Speaker 1: an amazing job showing some real leadership in this space.

872
00:51:24,320 --> 00:51:27,400
Speaker 1: And I have to try to say, hey, our friends

873
00:51:27,400 --> 00:51:29,600
Speaker 1: that they'll hire are doing all these really smart things.

874
00:51:30,480 --> 00:51:32,560
Speaker 1: Could we just follow their lead? And I also want

875
00:51:32,560 --> 00:51:34,440
Speaker 1: to say one last thing before I answer your question.

876
00:51:34,960 --> 00:51:38,359
Speaker 1: The folks in Ohio who have been behind these initiatives

877
00:51:38,520 --> 00:51:41,640
Speaker 1: have been unbelievably helpful. I mean, I call these people up,

878
00:51:41,680 --> 00:51:43,520
Speaker 1: they give me all their information, they tell me who

879
00:51:43,560 --> 00:51:45,640
Speaker 1: sponsored the bill, they point me in the right direction.

880
00:51:46,239 --> 00:51:49,600
Speaker 1: Just super helpful. But the story you point out there

881
00:51:50,320 --> 00:51:53,319
Speaker 1: with Jim's municipality. You know, again, when you get into

882
00:51:53,320 --> 00:51:56,520
Speaker 1: a place where these municipalities are providing critical services, and

883
00:51:56,560 --> 00:51:59,080
Speaker 1: even if you take the electricity out of it, you

884
00:51:59,120 --> 00:52:01,520
Speaker 1: take the water out of it, pretty critical of modern life.

885
00:52:02,040 --> 00:52:04,160
Speaker 1: You got to get the ambulances out, You've got to

886
00:52:04,160 --> 00:52:07,280
Speaker 1: get the police out. You know, first responders are providing

887
00:52:07,320 --> 00:52:10,399
Speaker 1: life saving services for people. If your systems are down

888
00:52:10,440 --> 00:52:13,279
Speaker 1: and you can't provide those services, it's no longer just

889
00:52:13,320 --> 00:52:15,520
Speaker 1: the threat of, well they stole some data about our

890
00:52:15,560 --> 00:52:18,879
Speaker 1: employees or our residents, or we lost some money because

891
00:52:18,880 --> 00:52:21,640
Speaker 1: we had to make a ransomware payment. It's I can't

892
00:52:21,920 --> 00:52:26,160
Speaker 1: provide the critical services of my constituents expect and depend on. Frankly,

893
00:52:26,840 --> 00:52:29,200
Speaker 1: and you know, I've been beating this drum for a

894
00:52:29,239 --> 00:52:31,600
Speaker 1: long long time, Gary, Jeff again, I kind of see

895
00:52:31,680 --> 00:52:34,800
Speaker 1: those sides of this working in the business and cybersecurity

896
00:52:34,800 --> 00:52:37,719
Speaker 1: and also having been involved in local government in northern

897
00:52:37,800 --> 00:52:40,120
Speaker 1: Kentucky for a long time, and this is the kind

898
00:52:40,160 --> 00:52:42,440
Speaker 1: of thing that keeps me up to night. Imagine if

899
00:52:42,440 --> 00:52:44,840
Speaker 1: you could knock out like the main dispatch center and

900
00:52:44,880 --> 00:52:48,440
Speaker 1: they were offline for days or weeks, and this may

901
00:52:48,520 --> 00:52:51,720
Speaker 1: sound far affetched to people, but look no further than Jaguar.

902
00:52:51,840 --> 00:52:55,560
Speaker 1: Jaguar just had a massive cybersecurity incident. They've been down

903
00:52:55,640 --> 00:52:58,200
Speaker 1: for almost two months. They had to lay off thousands

904
00:52:58,239 --> 00:53:01,480
Speaker 1: of people. They have their suppliers laid off people. The

905
00:53:01,600 --> 00:53:04,520
Speaker 1: last that I saw was they had lost around two

906
00:53:04,600 --> 00:53:08,080
Speaker 1: billion dollars because of downtime caused by a cyber attack.

907
00:53:08,600 --> 00:53:11,919
Speaker 1: And that's terrible. Will they survive, I don't know. It's

908
00:53:12,000 --> 00:53:14,360
Speaker 1: terrible for the business, it's terrible for the people that

909
00:53:14,400 --> 00:53:17,480
Speaker 1: work there, it's terrible for their suppliers. But imagine again

910
00:53:17,520 --> 00:53:20,880
Speaker 1: if that were a local government or many local governments,

911
00:53:21,239 --> 00:53:23,320
Speaker 1: and the ambulance doesn't show up when you're having a

912
00:53:23,360 --> 00:53:27,080
Speaker 1: critical health exit, or the police don't show up when

913
00:53:27,120 --> 00:53:29,640
Speaker 1: you need them to come. And as crazy as it

914
00:53:29,719 --> 00:53:32,880
Speaker 1: sounds to people, that's where we are in this sixty

915
00:53:32,920 --> 00:53:35,920
Speaker 1: minute story out of Boston. That's not the first example,

916
00:53:35,960 --> 00:53:40,759
Speaker 1: carry Jeff, of municipal agencies that have been attacked, in

917
00:53:40,760 --> 00:53:45,239
Speaker 1: some cases had systems manipulated, systems knocked offline. Know there

918
00:53:45,239 --> 00:53:48,719
Speaker 1: have been many recent cyber attacks in the Greater Cincinnati

919
00:53:48,760 --> 00:53:52,120
Speaker 1: metro on local governments that have gotten suppressed. So cattering

920
00:53:52,160 --> 00:53:54,920
Speaker 1: health not exactly a local government. But if you're having

921
00:53:54,920 --> 00:53:57,239
Speaker 1: a heart attack and you're on your way to the

922
00:53:57,320 --> 00:54:00,640
Speaker 1: hospital and they can't provide services because this iss it down,

923
00:54:01,080 --> 00:54:03,399
Speaker 1: that's a problem for all of us in the real world. Yes,

924
00:54:03,920 --> 00:54:07,160
Speaker 1: got to get serious about this. And again kudos to

925
00:54:07,200 --> 00:54:09,320
Speaker 1: Ohio House Bill ninety six for leading.

926
00:54:09,080 --> 00:54:09,560
Speaker 6: The way on this.

927
00:54:09,760 --> 00:54:13,120
Speaker 2: All right, two minutes, this is the this is the last.

928
00:54:13,400 --> 00:54:16,880
Speaker 2: This is a fast track here. Dave big Brother truly

929
00:54:17,000 --> 00:54:21,960
Speaker 2: is watching. AI traffic cop catches thousands of drivers texting

930
00:54:22,120 --> 00:54:22,960
Speaker 2: behind the wheel.

931
00:54:24,880 --> 00:54:27,400
Speaker 1: I'm sure this comes as no surprise to you. This

932
00:54:27,520 --> 00:54:30,480
Speaker 1: story comes from the UK, considering that they seem to

933
00:54:30,560 --> 00:54:33,759
Speaker 1: be going with every sort of Poor William panopticon might

934
00:54:33,960 --> 00:54:37,200
Speaker 1: DYSTOPI a nightmare you can imagine there. But apparently, and

935
00:54:37,280 --> 00:54:40,840
Speaker 1: at least some jurisdictions, they've rolled out this AI traffic

936
00:54:40,880 --> 00:54:43,160
Speaker 1: cop if you will, and you know, it uses a

937
00:54:43,200 --> 00:54:45,479
Speaker 1: series of cameras. It looks in your car. It tries

938
00:54:45,520 --> 00:54:47,879
Speaker 1: to determine are you on the phone, are you using

939
00:54:47,880 --> 00:54:50,600
Speaker 1: a GPS? You know, are you basically distracted driving? And

940
00:54:50,800 --> 00:54:53,439
Speaker 1: or are you wearing your seat belt? Now I get

941
00:54:53,480 --> 00:54:55,560
Speaker 1: that there's a strong argument why those of those things

942
00:54:55,560 --> 00:54:57,720
Speaker 1: are good. You. Wearing your seat belt is good for you.

943
00:54:57,719 --> 00:55:00,040
Speaker 1: You not distracted driving is good for everyone else on

944
00:55:00,120 --> 00:55:00,439
Speaker 1: the road.

945
00:55:00,520 --> 00:55:00,719
Speaker 6: Yep.

946
00:55:01,960 --> 00:55:04,600
Speaker 1: But you know, AI makes some mistakes all the time.

947
00:55:04,640 --> 00:55:06,279
Speaker 1: That's one of the reasons why I don't think it's

948
00:55:06,280 --> 00:55:09,359
Speaker 1: anywhere nearly as it doesn't live up to the hype

949
00:55:09,360 --> 00:55:10,200
Speaker 1: that today would.

950
00:55:09,960 --> 00:55:10,560
Speaker 6: Have you believe.

951
00:55:10,760 --> 00:55:12,480
Speaker 1: Now. I'm not saying it'll never get there, but it

952
00:55:12,560 --> 00:55:15,480
Speaker 1: makes mistakes all the time. The facial recognition doesn't always

953
00:55:15,480 --> 00:55:19,439
Speaker 1: work right. So to me, this is a concerning look

954
00:55:19,480 --> 00:55:21,600
Speaker 1: into where we may be headed in the future where

955
00:55:21,600 --> 00:55:25,280
Speaker 1: you're essentially just under constant dystopian surveillance from this stuff.

956
00:55:25,719 --> 00:55:29,040
Speaker 2: Well, I mean it doesn't always work right. I'll catch

957
00:55:29,080 --> 00:55:32,359
Speaker 2: at least five people doing it on my way up

958
00:55:32,400 --> 00:55:36,799
Speaker 2: seventy one. Sure, but I don't have I don't have

959
00:55:36,840 --> 00:55:39,759
Speaker 2: the uh. I don't have the authority to make a

960
00:55:39,880 --> 00:55:42,320
Speaker 2: citizens harest like an Andy Griffith.

961
00:55:43,840 --> 00:55:46,560
Speaker 1: Yeah, that's what we need, Gomer Pyle out there doing

962
00:55:46,560 --> 00:55:47,480
Speaker 1: some citizens arrest.

963
00:55:48,680 --> 00:55:51,080
Speaker 2: Dave Hatter, thank you as always for your time, sir.

964
00:55:51,120 --> 00:55:53,959
Speaker 2: It's always a pleasure, and we will do it again soon.

965
00:55:54,440 --> 00:55:57,879
Speaker 2: I hope my pot pray all right. Yeah, the mad

966
00:55:57,920 --> 00:56:01,719
Speaker 2: Hatter on the Nightcap, and there is still much more.

967
00:56:01,760 --> 00:56:06,040
Speaker 2: Michael lets from invest USA on the way next, and

968
00:56:06,160 --> 00:56:08,399
Speaker 2: we will finish off with the fur ball before we're

969
00:56:08,440 --> 00:56:14,680
Speaker 2: done tonight seven hundred WLW. As we begin this hour

970
00:56:14,880 --> 00:56:19,760
Speaker 2: of this nightcap on Tuesday night, October twenty eight, twenty five,

971
00:56:19,840 --> 00:56:23,920
Speaker 2: on seven hundred WLW, Gary Jeff welcoming into our midst

972
00:56:24,280 --> 00:56:26,719
Speaker 2: the great Todd Sheets, author of two thousand and eight

973
00:56:26,800 --> 00:56:33,000
Speaker 2: What Really Happened and writing currently on wealth and Progress.

974
00:56:33,080 --> 00:56:35,879
Speaker 2: You can see it on substeck. And when I saw

975
00:56:36,000 --> 00:56:41,000
Speaker 2: this piece that you wrote, Todd Trump versus the Blue Cities,

976
00:56:41,040 --> 00:56:43,239
Speaker 2: it kind of ties right into the whole half hour

977
00:56:43,280 --> 00:56:46,440
Speaker 2: of what we're talking about. I have Michael Letts joining

978
00:56:46,480 --> 00:56:50,040
Speaker 2: us from invest USA, who's got a thirty year career

979
00:56:50,080 --> 00:56:52,680
Speaker 2: in law enforcement, so it kind of does time. And

980
00:56:52,719 --> 00:56:56,040
Speaker 2: we're going to talk a little bit about Trump protecting

981
00:56:56,120 --> 00:56:59,680
Speaker 2: blue cities who apparently have a problem with protecting themselves

982
00:56:59,680 --> 00:57:02,800
Speaker 2: in my opinion, but you're right. Over the past few months,

983
00:57:02,840 --> 00:57:07,280
Speaker 2: President Trump has deployed troops into Washington, d C, Los Angeles, Portland,

984
00:57:07,320 --> 00:57:10,920
Speaker 2: and Chicago with a stated intention of protecting ice agents

985
00:57:10,920 --> 00:57:14,960
Speaker 2: and federal property and restore safety and security for the

986
00:57:15,000 --> 00:57:20,440
Speaker 2: city's residents. Democrat governors and mayors have reacted with outrage.

987
00:57:20,760 --> 00:57:23,320
Speaker 2: At one level, their frustration seemed to be an outgrowth

988
00:57:23,320 --> 00:57:26,360
Speaker 2: of an overarching narrative that has come to dominate party thinking,

989
00:57:26,440 --> 00:57:30,640
Speaker 2: i e. That Trump represents an existential threat to democracy

990
00:57:31,080 --> 00:57:33,440
Speaker 2: and his troop deployments, seen in this light, are the

991
00:57:33,480 --> 00:57:38,600
Speaker 2: beginning of a hostile takeover of Democratic enclaves. Todd sheets,

992
00:57:38,600 --> 00:57:39,760
Speaker 2: welcome to the show.

993
00:57:40,600 --> 00:57:43,000
Speaker 1: Gary, thanks for having me again. Delighted to be with you.

994
00:57:43,320 --> 00:57:46,240
Speaker 2: Yeah, it's great to have you. And so you break

995
00:57:46,280 --> 00:57:51,439
Speaker 2: it all down in this latest peace. The reasons why

996
00:57:52,160 --> 00:57:59,440
Speaker 2: why these Democrat enclaves are so vehemently against these moves

997
00:57:59,480 --> 00:58:04,320
Speaker 2: of troop deployments into their little safe spaces. They say,

998
00:58:04,360 --> 00:58:08,280
Speaker 2: it's a violation of the Posse Commatanas Act, an infringement

999
00:58:08,320 --> 00:58:12,840
Speaker 2: on states rights and local control. Politically motivated to create

1000
00:58:12,840 --> 00:58:17,479
Speaker 2: a misleading narrative of lawlessness in Democrat jurisdictions. Well, I mean,

1001
00:58:18,200 --> 00:58:22,320
Speaker 2: the videos in the cameras don't lie, Todd. An escalation

1002
00:58:22,400 --> 00:58:26,680
Speaker 2: of tensions that could provoke a provoke a violent response,

1003
00:58:26,720 --> 00:58:30,240
Speaker 2: and it certainly has in places like Portland, Oregon, and

1004
00:58:30,560 --> 00:58:34,200
Speaker 2: outside of Chicago. At the Ice detention center, an affront

1005
00:58:34,200 --> 00:58:37,400
Speaker 2: to local law enforcement, and a misuse of military resources.

1006
00:58:37,760 --> 00:58:40,720
Speaker 2: So let's sort through all these things. Todd, in your opinion,

1007
00:58:41,560 --> 00:58:45,640
Speaker 2: is Trump's troop deployments in these blue cities a violation

1008
00:58:45,800 --> 00:58:47,360
Speaker 2: of the Posse Commatatas Act.

1009
00:58:48,640 --> 00:58:52,440
Speaker 8: Yeah, so I kind of break that down into three categories.

1010
00:58:52,480 --> 00:58:54,640
Speaker 8: And first we go through all these arguments, and then

1011
00:58:54,640 --> 00:58:59,480
Speaker 8: there's three categories, one of which is the legal issues

1012
00:58:59,520 --> 00:59:03,800
Speaker 8: involved with posse comitatus. Clearly falls into that category, along

1013
00:59:03,880 --> 00:59:07,120
Speaker 8: with like the question of are the allegation that he's

1014
00:59:07,240 --> 00:59:11,800
Speaker 8: violating the balance of power between the federal government and

1015
00:59:11,920 --> 00:59:15,400
Speaker 8: states and municipalities, And you know, I think the key

1016
00:59:15,440 --> 00:59:17,680
Speaker 8: thing there, as I point out, is like, you know,

1017
00:59:17,760 --> 00:59:22,560
Speaker 8: there are legal scholars that we could find that would

1018
00:59:22,560 --> 00:59:26,520
Speaker 8: write very impressive papers or make very impressive arguments on

1019
00:59:26,640 --> 00:59:29,080
Speaker 8: either side of this, which is kind of the way

1020
00:59:29,720 --> 00:59:33,000
Speaker 8: our legal system is supposed to work. You know, each

1021
00:59:33,040 --> 00:59:38,360
Speaker 8: side has their representation and so. But but the simplest

1022
00:59:38,400 --> 00:59:42,000
Speaker 8: thing to do, I think is to simply follow what

1023
00:59:42,200 --> 00:59:46,600
Speaker 8: is happening in the courts where these cases are being

1024
00:59:46,680 --> 00:59:51,040
Speaker 8: tried before judges who have spent their lives focusing, you know,

1025
00:59:51,400 --> 00:59:55,320
Speaker 8: on the law and are hearing both sides and then

1026
00:59:55,360 --> 00:59:58,000
Speaker 8: trying to apply the law as they see.

1027
00:59:57,840 --> 01:00:00,440
Speaker 1: Fit within the system. And they're also part of an

1028
01:00:00,480 --> 01:00:01,880
Speaker 1: appellate process, which is.

1029
01:00:01,800 --> 01:00:06,000
Speaker 8: There to protect people from you know, individual mishaps or

1030
01:00:06,040 --> 01:00:06,920
Speaker 8: bad decisions.

1031
01:00:08,920 --> 01:00:11,680
Speaker 1: But it seems like the left doesn't want to do

1032
01:00:11,840 --> 01:00:15,919
Speaker 1: that because they don't like the fact that Trump has

1033
01:00:16,040 --> 01:00:20,600
Speaker 1: won on many different you know, in many different cases

1034
01:00:21,200 --> 01:00:23,160
Speaker 1: you know, that have gone before the judges all the

1035
01:00:23,160 --> 01:00:25,880
Speaker 1: way up to the Supreme Court. So what I'm kind

1036
01:00:25,880 --> 01:00:27,840
Speaker 1: of arguing is, well, let's get away from all of

1037
01:00:27,880 --> 01:00:31,320
Speaker 1: that and let's just say is he or is he

1038
01:00:31,400 --> 01:00:35,240
Speaker 1: not complying with the judicial decisions that are coming down.

1039
01:00:35,880 --> 01:00:39,400
Speaker 1: And I think if we go into places like Portland

1040
01:00:39,440 --> 01:00:43,480
Speaker 1: and Chicago, where there are ice agents present right now

1041
01:00:44,080 --> 01:00:47,080
Speaker 1: and there are troops that are in the area but

1042
01:00:47,240 --> 01:00:50,040
Speaker 1: have not been deployed into the city because they're waiting

1043
01:00:50,080 --> 01:00:54,040
Speaker 1: for the judicial process to work its way through, it's

1044
01:00:54,080 --> 01:00:59,200
Speaker 1: pretty clear that, you know, he's not steam rolling the

1045
01:00:59,280 --> 01:01:02,520
Speaker 1: rule of law. He's actually adhering to it and following

1046
01:01:02,560 --> 01:01:06,520
Speaker 1: what the court cases are deciding. And I think that

1047
01:01:06,600 --> 01:01:11,240
Speaker 1: the real kind of you know, steamrolling of.

1048
01:01:11,160 --> 01:01:13,840
Speaker 8: The law, if you will, is coming from the left,

1049
01:01:14,280 --> 01:01:17,040
Speaker 8: who was saying, well, you know, we're not so interested

1050
01:01:17,480 --> 01:01:20,320
Speaker 8: in the rule of law as in having the law

1051
01:01:20,480 --> 01:01:22,560
Speaker 8: ruled as we want it to be ruled.

1052
01:01:22,920 --> 01:01:24,600
Speaker 1: And if it's not ruled that way, then we're going

1053
01:01:24,680 --> 01:01:26,200
Speaker 1: to be very frustrated by it.

1054
01:01:26,400 --> 01:01:30,480
Speaker 2: And we'll we'll kick and scream. And I've often said

1055
01:01:30,760 --> 01:01:34,120
Speaker 2: Todd that it seems to me like the left, if

1056
01:01:34,200 --> 01:01:36,800
Speaker 2: they can't win at the ballot box, they go to court.

1057
01:01:36,880 --> 01:01:38,520
Speaker 2: If they can't win in the courts, they try and

1058
01:01:38,560 --> 01:01:42,760
Speaker 2: win in the streets as kind of a last violent resort.

1059
01:01:42,760 --> 01:01:45,280
Speaker 2: And we've seen that play out as well. You mentioned

1060
01:01:45,360 --> 01:01:49,320
Speaker 2: Los Angeles in the piece, and how you know the

1061
01:01:49,360 --> 01:01:52,680
Speaker 2: governor obviously the mayor of Los Angeles totally against the

1062
01:01:52,720 --> 01:01:56,400
Speaker 2: deployment of troops back in June in LA by Donald Trump.

1063
01:01:57,480 --> 01:02:02,520
Speaker 2: And if the effort was to under city control or

1064
01:02:02,560 --> 01:02:07,080
Speaker 2: to take over a Democrat enclave like LA in I

1065
01:02:07,120 --> 01:02:10,160
Speaker 2: mean southern California, it's a one party state. We all

1066
01:02:10,200 --> 01:02:15,240
Speaker 2: know that. Then why is the city government continuing to

1067
01:02:15,360 --> 01:02:20,160
Speaker 2: function independently? Why are the police still Los Angeles Police

1068
01:02:20,200 --> 01:02:23,880
Speaker 2: and they've not been federalized. You make a good point there.

1069
01:02:24,880 --> 01:02:27,400
Speaker 8: Yeah, I think there's two very important points and you've

1070
01:02:27,440 --> 01:02:28,560
Speaker 8: hit the first one.

1071
01:02:28,360 --> 01:02:29,080
Speaker 6: Which is that.

1072
01:02:30,520 --> 01:02:34,000
Speaker 1: Yes, they did escalate the troop deployments for a period

1073
01:02:34,040 --> 01:02:36,120
Speaker 1: of time. They first went to eight hundred and then

1074
01:02:36,160 --> 01:02:38,760
Speaker 1: all the way up to forty seven hundred. And the

1075
01:02:38,800 --> 01:02:41,640
Speaker 1: first point that you've just made is if the intention

1076
01:02:41,920 --> 01:02:44,240
Speaker 1: was to take over the state or engage in a

1077
01:02:44,280 --> 01:02:48,240
Speaker 1: hostile takeover, which would fit into this narrative that Trump

1078
01:02:48,320 --> 01:02:51,840
Speaker 1: is an existential threat to democracy that I think defines

1079
01:02:52,000 --> 01:02:56,680
Speaker 1: almost everything that the far left you know, does and

1080
01:02:56,880 --> 01:03:00,000
Speaker 1: seize with respect to Trump. But if that was the case,

1081
01:03:00,080 --> 01:03:03,360
Speaker 1: they would have taken over these you know, elements of

1082
01:03:03,400 --> 01:03:06,840
Speaker 1: government while they had the maximum truth troop accounts.

1083
01:03:06,880 --> 01:03:07,720
Speaker 6: They didn't.

1084
01:03:08,120 --> 01:03:11,240
Speaker 1: And then the second thing is if that were still

1085
01:03:11,280 --> 01:03:14,560
Speaker 1: the narrative, then he would have kept those troops there

1086
01:03:14,680 --> 01:03:17,680
Speaker 1: or escalated them. But in fact what's happened is once

1087
01:03:17,800 --> 01:03:21,400
Speaker 1: things calmed down, you know, they've pulled out over ninety

1088
01:03:21,480 --> 01:03:24,600
Speaker 1: percent of the peak level of troop deployment into the

1089
01:03:24,760 --> 01:03:29,280
Speaker 1: LA area. So it's very clear that this is not

1090
01:03:29,720 --> 01:03:32,720
Speaker 1: a hostile takeover the government. This does not fit the

1091
01:03:32,800 --> 01:03:37,480
Speaker 1: narrative of an existential threat to democracy. And so you

1092
01:03:37,480 --> 01:03:39,520
Speaker 1: know what you see is then the arguments just shift

1093
01:03:39,640 --> 01:03:41,840
Speaker 1: on to some other element of this, like the Posse

1094
01:03:42,000 --> 01:03:45,720
Speaker 1: Comma Tatis Act, the legality issues which we just talked about,

1095
01:03:46,040 --> 01:03:48,520
Speaker 1: or the political issues with respect to it.

1096
01:03:48,960 --> 01:03:52,720
Speaker 2: Yeah, there has been an escalation of tensions. I mean,

1097
01:03:52,760 --> 01:03:58,200
Speaker 2: you can't deny that in certain places. But again that's

1098
01:03:58,240 --> 01:04:02,000
Speaker 2: being fueled by the left. It's not anything that President

1099
01:04:02,040 --> 01:04:03,800
Speaker 2: Trump has done. In my view.

1100
01:04:06,120 --> 01:04:07,360
Speaker 1: Yeah, I agree with that.

1101
01:04:07,480 --> 01:04:09,840
Speaker 8: And one of the things I do in the subject

1102
01:04:09,920 --> 01:04:12,160
Speaker 8: piece that you referenced is I go to a little

1103
01:04:12,160 --> 01:04:15,040
Speaker 8: thing and say, you know, just imagine, let's say that

1104
01:04:15,080 --> 01:04:19,080
Speaker 8: these governors and mayors, you know, didn't agree with the

1105
01:04:19,120 --> 01:04:22,800
Speaker 8: idea of sending troops into their cities. But instead of

1106
01:04:23,160 --> 01:04:27,080
Speaker 8: stirring up, you know, this kind of harsh and violence,

1107
01:04:27,800 --> 01:04:31,720
Speaker 8: violent response, they just came out and said, we don't

1108
01:04:31,720 --> 01:04:35,200
Speaker 8: think it's necessary, but we are going to work with

1109
01:04:35,280 --> 01:04:39,600
Speaker 8: the President to make sure that this all goes as

1110
01:04:39,600 --> 01:04:43,680
Speaker 8: smoothly as possible. We urge the citizens not to protest

1111
01:04:44,240 --> 01:04:49,560
Speaker 8: or fight back, or fire on or throw projectiles, flammable

1112
01:04:49,600 --> 01:04:52,920
Speaker 8: projectiles or anything else. And then we are also going

1113
01:04:52,960 --> 01:04:55,720
Speaker 8: to be using our resources in addition to working with

1114
01:04:55,800 --> 01:04:59,560
Speaker 8: the national troops to make sure that the rights of

1115
01:04:59,680 --> 01:05:04,840
Speaker 8: every one are followed, and this means everybody from the

1116
01:05:04,840 --> 01:05:08,040
Speaker 8: citizens of LA to the federal troops who are doing

1117
01:05:08,080 --> 01:05:11,160
Speaker 8: their jobs there, to the local law enforcement who has

1118
01:05:11,200 --> 01:05:15,080
Speaker 8: a role, and even to the immigrants or the illegal

1119
01:05:15,120 --> 01:05:17,840
Speaker 8: immigrants to the extent you know that they do have

1120
01:05:17,960 --> 01:05:21,160
Speaker 8: rights under the law to prove that, you know, either

1121
01:05:21,200 --> 01:05:23,320
Speaker 8: they were here or they're not here legally in that

1122
01:05:23,440 --> 01:05:25,880
Speaker 8: kind of thing. And if they had taken that tone,

1123
01:05:26,040 --> 01:05:28,720
Speaker 8: I think we would not be seeing anything like the

1124
01:05:28,840 --> 01:05:31,240
Speaker 8: level of violence that we're seeing in all these videos

1125
01:05:31,320 --> 01:05:34,280
Speaker 8: right now. But instead they chose, you know, to turn

1126
01:05:34,320 --> 01:05:36,640
Speaker 8: this into kind of an inflammatory situation.

1127
01:05:37,200 --> 01:05:40,880
Speaker 2: Now everything is a political ploy. It seems everything is

1128
01:05:41,120 --> 01:05:45,600
Speaker 2: political performance theater, and a lot of that acting is

1129
01:05:45,640 --> 01:05:50,200
Speaker 2: coming on behalf of the Left. Todd sheets on Wealth

1130
01:05:50,240 --> 01:05:52,360
Speaker 2: and Progress. You can read it in the sub stack

1131
01:05:52,800 --> 01:05:55,920
Speaker 2: his latest piece, Trump versus the Blue Cities. Thank you

1132
01:05:56,000 --> 01:05:59,840
Speaker 2: so much for your time tonight, Dodd. I really appreciate you.

1133
01:06:00,040 --> 01:06:00,680
Speaker 6: Thank you so much.

1134
01:06:00,680 --> 01:06:00,880
Speaker 5: Gary.

1135
01:06:00,960 --> 01:06:02,880
Speaker 1: I hope you have a great evening and the rest

1136
01:06:02,880 --> 01:06:03,080
Speaker 1: of the.

1137
01:06:03,080 --> 01:06:03,640
Speaker 6: Week as well.

1138
01:06:03,720 --> 01:06:08,280
Speaker 2: Hey you too. Michael Letts from invest USA on the

1139
01:06:08,400 --> 01:06:15,240
Speaker 2: continuing attacks on ice and law enforcement. Next, as I promised,

1140
01:06:15,480 --> 01:06:19,520
Speaker 2: my friend from invest USA, a multi year veteran of

1141
01:06:19,600 --> 01:06:23,560
Speaker 2: law enforcement, Michael Lets rejoins us on the Nightcap. Mike,

1142
01:06:23,560 --> 01:06:26,120
Speaker 2: there's a bunch going on, so let's hit the ground running.

1143
01:06:27,280 --> 01:06:30,520
Speaker 2: The US Ford has just been deployed to the Caribbean.

1144
01:06:30,600 --> 01:06:33,840
Speaker 2: You're telling me it looks like we're going into Venezuela.

1145
01:06:35,360 --> 01:06:37,480
Speaker 5: Yeah, that's true. To give you a quick background, remember

1146
01:06:37,480 --> 01:06:39,800
Speaker 5: the president that said we were not only going to

1147
01:06:39,840 --> 01:06:43,000
Speaker 5: seal the borders and keep grows from coming in, but

1148
01:06:43,120 --> 01:06:45,120
Speaker 5: if they continue to try to come in, which you

1149
01:06:45,160 --> 01:06:47,560
Speaker 5: remember they decided to go on the southern borders to

1150
01:06:47,640 --> 01:06:49,600
Speaker 5: go up to Canada and try to work their way down,

1151
01:06:50,000 --> 01:06:52,320
Speaker 5: that we would just find where the problem was at

1152
01:06:52,440 --> 01:06:55,640
Speaker 5: and eliminated at its very source. How are we doing that.

1153
01:06:55,880 --> 01:06:58,400
Speaker 5: We've got two destroyers off the California coast to make

1154
01:06:58,440 --> 01:07:01,080
Speaker 5: sure any come on home for the Pacific side two

1155
01:07:01,120 --> 01:07:06,280
Speaker 5: months ago gets inted. We've got two yep in addicted,

1156
01:07:06,320 --> 01:07:09,040
Speaker 5: we've got two in the Gulf of America to do

1157
01:07:09,040 --> 01:07:12,640
Speaker 5: the same thing. And now we've sent we had four ships,

1158
01:07:12,680 --> 01:07:16,560
Speaker 5: two cruises, two destroyers off the coast of Venezuela. Now

1159
01:07:16,600 --> 01:07:19,520
Speaker 5: we've sent an entire battle group, the one of our

1160
01:07:19,520 --> 01:07:25,120
Speaker 5: most advanced battle groups, the aircraft carrier, the USS Ford

1161
01:07:26,040 --> 01:07:29,120
Speaker 5: and all of its support supply ships off there. We

1162
01:07:29,200 --> 01:07:34,160
Speaker 5: have sunk now twelve hips off the Venezuelan coasts that

1163
01:07:34,200 --> 01:07:39,840
Speaker 5: we're laden with drugs, fel other drugs ordinances and turn

1164
01:07:39,920 --> 01:07:42,720
Speaker 5: thet gang members. We've put twelve them to the bottom.

1165
01:07:42,720 --> 01:07:45,520
Speaker 5: People get upset, you know, give them them due process. Folks, though,

1166
01:07:45,560 --> 01:07:48,000
Speaker 5: and quickly reminds you every one of these cases we

1167
01:07:48,080 --> 01:07:50,400
Speaker 5: fired one across the bottle. You think for a minute

1168
01:07:50,400 --> 01:07:53,240
Speaker 5: they wanted to stop and let us board and seize

1169
01:07:53,240 --> 01:07:55,960
Speaker 5: their cargoing and the rest their people. They thought they

1170
01:07:55,960 --> 01:07:59,480
Speaker 5: would try to challenge the US Navy. Big mistakes after that,

1171
01:07:59,560 --> 01:08:03,800
Speaker 5: we now have ten thousand troops. It's the support ships

1172
01:08:04,840 --> 01:08:08,080
Speaker 5: off the coast of Venezuela. We have all of our

1173
01:08:09,320 --> 01:08:14,480
Speaker 5: special Forces, special off teams and our assertion aircraft there.

1174
01:08:14,840 --> 01:08:17,840
Speaker 5: We very clearly send a message, if you will not

1175
01:08:18,479 --> 01:08:22,920
Speaker 5: keep your drugs out of our jurisdiction and trying to

1176
01:08:22,920 --> 01:08:25,600
Speaker 5: bring in America, we will eliminate it. It appears that

1177
01:08:25,640 --> 01:08:29,519
Speaker 5: their answer is very clear. They're wanted to test American strength.

1178
01:08:29,600 --> 01:08:32,680
Speaker 5: Colombia is joining them, so this may be more than

1179
01:08:32,720 --> 01:08:35,519
Speaker 5: just Venezuela. We are prepared to move in. Now we

1180
01:08:35,640 --> 01:08:38,800
Speaker 5: have all the necessary elements, support elements in the area.

1181
01:08:39,160 --> 01:08:41,519
Speaker 5: People get upset. They're calling me saying we're going to war.

1182
01:08:41,560 --> 01:08:44,800
Speaker 5: No no, no, no, no, no. War requires a declaration of

1183
01:08:44,800 --> 01:08:47,519
Speaker 5: the Congress. And don't be hollering at me saying what

1184
01:08:47,560 --> 01:08:49,599
Speaker 5: are you doing. This is not the first time I've

1185
01:08:49,640 --> 01:08:52,280
Speaker 5: done this. We did it in Panama, we did it

1186
01:08:52,320 --> 01:08:56,760
Speaker 5: in Granada. Whenever there is a national or threat to

1187
01:08:56,880 --> 01:09:00,000
Speaker 5: national security, we can go in and eliminate that threat.

1188
01:09:00,520 --> 01:09:02,360
Speaker 5: Going to war means that we're going to go in

1189
01:09:02,680 --> 01:09:06,439
Speaker 5: top of the government occupied the place, et cetera, et cetera.

1190
01:09:06,479 --> 01:09:08,320
Speaker 5: We're not going to do any of that. I tell people,

1191
01:09:08,360 --> 01:09:11,000
Speaker 5: give us forty eight hours and we'll be gone. We're

1192
01:09:11,040 --> 01:09:12,960
Speaker 5: going to go in. We're not going to go in

1193
01:09:13,000 --> 01:09:15,800
Speaker 5: and kick their little teapots over. We're going to eliminate it.

1194
01:09:16,160 --> 01:09:20,320
Speaker 5: There will be no more people dealing drugs in Columbia

1195
01:09:20,400 --> 01:09:23,800
Speaker 5: are in Venezuela. We're going to eliminate the issue. Regardless

1196
01:09:23,800 --> 01:09:26,960
Speaker 5: of what it takes keep Americans protected and free us

1197
01:09:27,040 --> 01:09:29,800
Speaker 5: how many hundreds of thousands of American children have been

1198
01:09:29,880 --> 01:09:32,439
Speaker 5: killed because of them, We're going to do the same

1199
01:09:32,520 --> 01:09:36,960
Speaker 5: thing in southern Mexico. Why is that the Southern cartels

1200
01:09:37,000 --> 01:09:42,280
Speaker 5: have now placed a ten thousand dollars bounty on the

1201
01:09:42,280 --> 01:09:45,040
Speaker 5: head of every ice and every law enforcement agent killed

1202
01:09:45,080 --> 01:09:47,240
Speaker 5: in the United States. We're not going to stand by

1203
01:09:47,240 --> 01:09:50,919
Speaker 5: and tolerate that. Remember they did that in Northern Mexico.

1204
01:09:51,040 --> 01:09:54,719
Speaker 5: They said that initially when we shut them waders down

1205
01:09:55,120 --> 01:09:58,639
Speaker 5: back in February, they said, you know, in retaliation, if

1206
01:09:58,640 --> 01:10:01,880
Speaker 5: Americans come across here, going to harm them. We didn't

1207
01:10:01,880 --> 01:10:04,519
Speaker 5: do anything. We warned people not to go. We were

1208
01:10:04,600 --> 01:10:08,560
Speaker 5: nine college students went across anyway. They were captured, tortured

1209
01:10:08,600 --> 01:10:11,200
Speaker 5: and murdered, and we said, okay, you won't play that game.

1210
01:10:11,400 --> 01:10:12,880
Speaker 5: We're not going to advertise it, but that would be

1211
01:10:12,920 --> 01:10:14,760
Speaker 5: the last thing you do. You know, as you haven't

1212
01:10:14,760 --> 01:10:17,240
Speaker 5: heard another word out of the Northern cartels and the

1213
01:10:17,280 --> 01:10:20,080
Speaker 5: reason why they don't exist, well, in the case special.

1214
01:10:19,760 --> 01:10:21,840
Speaker 2: For Michael and in the case of in the case

1215
01:10:21,880 --> 01:10:28,439
Speaker 2: of Venezuela, we know Maduro is directing these cartels and

1216
01:10:28,800 --> 01:10:32,880
Speaker 2: and they control that country. And Trendea Ragua has already

1217
01:10:32,880 --> 01:10:36,920
Speaker 2: been designated as a terrorist group by our president, by

1218
01:10:36,960 --> 01:10:40,960
Speaker 2: our government. And if Maduro is the head of Trendea Ragua,

1219
01:10:41,680 --> 01:10:45,680
Speaker 2: then he's an international terrorist too. And if it's just

1220
01:10:45,720 --> 01:10:50,560
Speaker 2: because he's in charge of a country illegitimately like Venezuela,

1221
01:10:50,960 --> 01:10:52,959
Speaker 2: doesn't mean that he's beyond our reach.

1222
01:10:53,640 --> 01:10:57,760
Speaker 5: Right, well, our exactly, and our intel can tells us

1223
01:10:57,800 --> 01:11:01,040
Speaker 5: that if we go in and take out the forces,

1224
01:11:01,120 --> 01:11:04,640
Speaker 5: the drug forces, the maderra will last more than an

1225
01:11:04,680 --> 01:11:06,880
Speaker 5: hour and they'll be a replace. So it was governed

1226
01:11:06,880 --> 01:11:07,599
Speaker 5: by his old people.

1227
01:11:08,160 --> 01:11:11,759
Speaker 6: Yeah, last why we'll over throw him very quickly.

1228
01:11:11,880 --> 01:11:15,280
Speaker 2: Well, I found out last night, Michael Letz, that there's

1229
01:11:15,320 --> 01:11:21,800
Speaker 2: another angle besides the importation of fatal fentanyl and other

1230
01:11:21,880 --> 01:11:25,479
Speaker 2: drugs from these countries coming into our country and killing

1231
01:11:25,880 --> 01:11:30,120
Speaker 2: hundreds of thousands of American citizens. But there is also

1232
01:11:31,320 --> 01:11:35,559
Speaker 2: a plot which is not broadcast on mainstream media at all,

1233
01:11:37,120 --> 01:11:41,840
Speaker 2: by Maduro in Venezuela and Brazil to take over the

1234
01:11:41,880 --> 01:11:45,360
Speaker 2: country of Guyana, which is the northern neighborhood of Venezuela,

1235
01:11:45,720 --> 01:11:48,719
Speaker 2: because they have one of the richest supplies of oil

1236
01:11:48,800 --> 01:11:52,439
Speaker 2: in South America that's just been discovered. So they're trying

1237
01:11:52,439 --> 01:11:57,439
Speaker 2: to corner the oil market. And it does behoove our

1238
01:11:57,479 --> 01:12:01,160
Speaker 2: country to protect American interests that way, So it is.

1239
01:12:01,280 --> 01:12:05,639
Speaker 2: It is a multi pronged, multi layered reason for US

1240
01:12:05,720 --> 01:12:13,040
Speaker 2: to be watching very closely and stopping Venezuela and Brazil

1241
01:12:13,120 --> 01:12:16,120
Speaker 2: in any other country in South America that wants to

1242
01:12:16,160 --> 01:12:17,439
Speaker 2: threaten US interests.

1243
01:12:19,200 --> 01:12:22,600
Speaker 5: You're exactly right, Ken, and they have you know, the

1244
01:12:22,680 --> 01:12:27,360
Speaker 5: President maderra I sent an urgent message Trump, what can

1245
01:12:27,439 --> 01:12:30,559
Speaker 5: we do to rectify this situation? And the response from

1246
01:12:30,560 --> 01:12:34,120
Speaker 5: Trump has been very poignant. You had your chance, yeah,

1247
01:12:34,120 --> 01:12:38,439
Speaker 5: and you have refused to protect American lives and interests,

1248
01:12:38,960 --> 01:12:40,520
Speaker 5: and we will take action accordingly.

1249
01:12:40,880 --> 01:12:43,120
Speaker 6: In Illinois, we are poised and ready to go.

1250
01:12:43,680 --> 01:12:46,920
Speaker 2: In Illinois, they are trying to They're trying to bring

1251
01:12:47,040 --> 01:12:51,519
Speaker 2: criminal charges or make criminal charges against Ice for merely

1252
01:12:51,600 --> 01:12:54,520
Speaker 2: upholding the law of Michael. That's another angle of this conversation.

1253
01:12:54,560 --> 01:12:56,200
Speaker 2: We don't have a whole lot of time to cover that,

1254
01:12:57,520 --> 01:12:58,680
Speaker 2: but yeah, the.

1255
01:12:58,600 --> 01:13:01,719
Speaker 5: Same thing is happening in Appointed Gavin Newsom, the speaker,

1256
01:13:01,880 --> 01:13:06,000
Speaker 5: former Speaker of ALS, Nancy Pelosi are urging dating local

1257
01:13:06,080 --> 01:13:09,040
Speaker 5: law enforcement to arrest HEUS members. I will remind them

1258
01:13:09,040 --> 01:13:12,320
Speaker 5: that is an obstruction of justice and it will not work.

1259
01:13:12,680 --> 01:13:15,280
Speaker 5: The first of all, they're going to get hurt. Second

1260
01:13:15,320 --> 01:13:18,280
Speaker 5: of all, we're going to go after people like Gavin

1261
01:13:18,320 --> 01:13:21,680
Speaker 5: Newsom and the former speaking all and charge them with

1262
01:13:21,720 --> 01:13:25,200
Speaker 5: the social justice and they will face penalties for their actions.

1263
01:13:25,360 --> 01:13:27,960
Speaker 2: Remember, if you want to help local law enforcement and

1264
01:13:28,240 --> 01:13:31,840
Speaker 2: law enforcement nationwide, one of the groups that's doing their

1265
01:13:31,880 --> 01:13:35,280
Speaker 2: best to protect them is invest USA, of which Michael

1266
01:13:35,360 --> 01:13:39,160
Speaker 2: Lets is the president. It's great to have you on tonight, Michael.

1267
01:13:39,200 --> 01:13:42,640
Speaker 2: I appreciate your time. Any last words you'd like to

1268
01:13:42,720 --> 01:13:44,000
Speaker 2: leave us with this evening.

1269
01:13:45,439 --> 01:13:48,280
Speaker 5: It's great that we've got a president that realizes that

1270
01:13:48,360 --> 01:13:51,439
Speaker 5: America is back to be respected. God bless you, God

1271
01:13:51,439 --> 01:13:53,880
Speaker 5: bless America. Keep up the good work united.

1272
01:13:53,960 --> 01:13:54,439
Speaker 6: We stand.

1273
01:13:55,200 --> 01:14:00,240
Speaker 2: Thank you, Amen, Thank you. Michael from invest USA. Will

1274
01:14:00,240 --> 01:14:03,360
Speaker 2: close out with the fur ball right afternoons, which is

1275
01:14:03,439 --> 01:14:08,160
Speaker 2: next on seven hundred W l W. They always say

1276
01:14:08,240 --> 01:14:11,160
Speaker 2: finished with a flourished and I can't finish any more

1277
01:14:11,240 --> 01:14:13,960
Speaker 2: flourished than with the fur ball. And that's all the

1278
01:14:14,080 --> 01:14:16,640
Speaker 2: f's I have for right now. But we're early on

1279
01:14:16,720 --> 01:14:19,439
Speaker 2: in the conversation. Andy Furman joins us on the night

1280
01:14:19,479 --> 01:14:24,400
Speaker 2: Cap on this Tuesday evening. Good evening, mister Furman, how are.

1281
01:14:24,280 --> 01:14:25,840
Speaker 1: You good evening?

1282
01:14:26,000 --> 01:14:28,479
Speaker 3: How are you to Tuesdays roll around so quickly?

1283
01:14:28,520 --> 01:14:30,720
Speaker 1: I can't wait. It's really good. It's good to talk

1284
01:14:30,800 --> 01:14:30,960
Speaker 1: to you.

1285
01:14:31,200 --> 01:14:34,200
Speaker 2: I love I love the well, I love the Jewish

1286
01:14:34,280 --> 01:14:39,240
Speaker 2: vampire accident. That was really good, good evening. So I

1287
01:14:39,800 --> 01:14:44,120
Speaker 2: told you that a week ago, last Tuesday night, as

1288
01:14:44,160 --> 01:14:48,519
Speaker 2: I was going to bed, I lost my balance. I

1289
01:14:48,640 --> 01:14:52,200
Speaker 2: was not drunk, not inebriated, not any any way, compromise

1290
01:14:52,280 --> 01:14:55,040
Speaker 2: that I can tell you. I lost my balance and

1291
01:14:55,080 --> 01:14:58,799
Speaker 2: I fell in the bedroom. I was like two steps

1292
01:14:58,800 --> 01:15:01,880
Speaker 2: from me on the floor, two steps from being in

1293
01:15:01,960 --> 01:15:04,680
Speaker 2: the bed with my wife who was fast asleep, and

1294
01:15:04,760 --> 01:15:08,080
Speaker 2: I fell and I fell right on her violin case.

1295
01:15:08,160 --> 01:15:10,120
Speaker 2: It was sitting on the floor of the bedroom, which

1296
01:15:10,160 --> 01:15:15,599
Speaker 2: is very hard, and I think, I I'm almost sure

1297
01:15:15,800 --> 01:15:18,000
Speaker 2: I broke ribs. I never went to the hospital.

1298
01:15:18,479 --> 01:15:19,640
Speaker 1: Silly thing to do.

1299
01:15:19,760 --> 01:15:21,680
Speaker 3: What are you trying to do, like gymnastic tricks or

1300
01:15:21,680 --> 01:15:22,960
Speaker 3: something like that. Why would you do that?

1301
01:15:23,920 --> 01:15:26,880
Speaker 2: It wasn't planned, It wasn't anything I I asked for.

1302
01:15:27,439 --> 01:15:28,519
Speaker 2: It just happened.

1303
01:15:28,680 --> 01:15:30,439
Speaker 6: And you're sipathy.

1304
01:15:30,520 --> 01:15:34,000
Speaker 1: Is that why you're telling me this? Your suggested spathy?

1305
01:15:34,400 --> 01:15:36,960
Speaker 3: I mean, are you trying to tell the audience right now, like, Wow,

1306
01:15:37,200 --> 01:15:39,360
Speaker 3: I showed up for you for this show because I'm

1307
01:15:39,360 --> 01:15:42,560
Speaker 3: in pain. No one cares, really, no one cares.

1308
01:15:43,120 --> 01:15:44,360
Speaker 2: Well, I mean I care.

1309
01:15:44,720 --> 01:15:46,639
Speaker 1: I cared for you because I know it must you.

1310
01:15:46,600 --> 01:15:49,160
Speaker 2: Say no one, So I figured you were including yourself

1311
01:15:49,200 --> 01:15:51,559
Speaker 2: in the no one about the caring part.

1312
01:15:51,600 --> 01:15:53,479
Speaker 3: But you know what, we got business to take care of.

1313
01:15:53,560 --> 01:15:54,719
Speaker 3: We could talk about that later.

1314
01:15:55,800 --> 01:15:56,679
Speaker 1: This important.

1315
01:15:56,880 --> 01:16:00,400
Speaker 2: Do you promise this? You promised that we can talk

1316
01:16:00,400 --> 01:16:02,720
Speaker 2: about it later, maybe even tonight, after we get through

1317
01:16:02,720 --> 01:16:06,200
Speaker 2: the important stuff. Okay, yes, Well what's so important? What's

1318
01:16:06,200 --> 01:16:06,799
Speaker 2: so important?

1319
01:16:06,840 --> 01:16:07,719
Speaker 1: What's more important?

1320
01:16:07,840 --> 01:16:11,920
Speaker 3: I thought after the Bengals, After the Bengals lost. I mean,

1321
01:16:12,200 --> 01:16:15,439
Speaker 3: you know, I love the media, not the national media

1322
01:16:15,479 --> 01:16:17,400
Speaker 3: as much as the local media, because the national media

1323
01:16:17,640 --> 01:16:20,599
Speaker 3: always beats the local media on stories. Why I don't know,

1324
01:16:21,040 --> 01:16:25,280
Speaker 3: But maybe that's because maybe that's a certain person delegated

1325
01:16:25,520 --> 01:16:29,400
Speaker 3: to that topic and they to get the story. I mean,

1326
01:16:29,720 --> 01:16:30,840
Speaker 3: that's probably the reason why.

1327
01:16:30,960 --> 01:16:31,320
Speaker 6: I don't know.

1328
01:16:31,640 --> 01:16:36,600
Speaker 2: They got they got bigger, they got bigger budgets, probably.

1329
01:16:36,360 --> 01:16:38,920
Speaker 3: Yeah, probably so the biggest standard. I mean, there were

1330
01:16:39,000 --> 01:16:42,920
Speaker 3: scientists certain things, but the local media all of a sudden, now,

1331
01:16:43,439 --> 01:16:44,120
Speaker 3: woe is me.

1332
01:16:44,640 --> 01:16:45,639
Speaker 1: The Bengals are losing.

1333
01:16:45,680 --> 01:16:48,559
Speaker 3: They they don't care, they don't care. Let me tell

1334
01:16:48,600 --> 01:16:51,200
Speaker 3: you something. I really this is like a trade secret.

1335
01:16:51,640 --> 01:16:54,840
Speaker 3: Those that do talk radio in the world of sports

1336
01:16:55,040 --> 01:16:59,080
Speaker 3: are happy when the local team loses because that's when

1337
01:16:59,120 --> 01:17:02,200
Speaker 3: the phones line up. That's when this controversy, that's when

1338
01:17:02,240 --> 01:17:04,719
Speaker 3: you could yell and scream and say fire the coach

1339
01:17:04,760 --> 01:17:05,439
Speaker 3: to do the bullet.

1340
01:17:05,479 --> 01:17:08,320
Speaker 1: I'm telling you that's the way it is. They don't care.

1341
01:17:08,680 --> 01:17:11,320
Speaker 1: They put on the facade like, oh, you know, they.

1342
01:17:11,200 --> 01:17:13,280
Speaker 3: Need to get defense, they need to get better this.

1343
01:17:13,439 --> 01:17:17,040
Speaker 3: They know you're happy that they lose. First of there's

1344
01:17:17,080 --> 01:17:18,480
Speaker 3: there's nothing gains.

1345
01:17:18,439 --> 01:17:20,120
Speaker 1: When they win. Think about that.

1346
01:17:20,240 --> 01:17:23,720
Speaker 3: Does a local talk show hosts gain anything when they win?

1347
01:17:24,200 --> 01:17:26,439
Speaker 1: I don't think so. You care about one thing and

1348
01:17:26,520 --> 01:17:27,360
Speaker 1: one thing all you know.

1349
01:17:27,320 --> 01:17:30,320
Speaker 3: What that is your ratings, your revenue, and your show.

1350
01:17:30,640 --> 01:17:34,320
Speaker 3: And your show is better when they lose. I promise you.

1351
01:17:34,560 --> 01:17:35,519
Speaker 3: That's the name of the game.

1352
01:17:35,640 --> 01:17:37,840
Speaker 1: Now, I know you may not agree, but you know

1353
01:17:37,920 --> 01:17:38,519
Speaker 1: it's true.

1354
01:17:39,200 --> 01:17:42,719
Speaker 2: Well, I don't know if it's better when your local

1355
01:17:42,760 --> 01:17:43,679
Speaker 2: team loses.

1356
01:17:44,120 --> 01:17:46,400
Speaker 3: But you don't want to better for a talk show host,

1357
01:17:46,720 --> 01:17:48,519
Speaker 3: not for the city, not for the team.

1358
01:17:48,840 --> 01:17:51,840
Speaker 2: You don't want to you're not telling me that. After

1359
01:17:51,880 --> 01:17:55,360
Speaker 2: the nineteen ninety victory by the Reds and the sweep

1360
01:17:55,360 --> 01:17:59,000
Speaker 2: and the World Series. The talk radio wasn't booming. Then

1361
01:17:59,080 --> 01:18:01,400
Speaker 2: you're not telling me that you have to.

1362
01:18:01,360 --> 01:18:02,040
Speaker 5: Win it all.

1363
01:18:02,680 --> 01:18:04,759
Speaker 1: No, you have to win it all or be a loser.

1364
01:18:04,960 --> 01:18:07,960
Speaker 3: Like this year with the Reds mediocre. It was like,

1365
01:18:08,160 --> 01:18:09,760
Speaker 3: you know, teasing, they're teasing me.

1366
01:18:10,040 --> 01:18:12,559
Speaker 1: It seems to me, and that's it.

1367
01:18:12,560 --> 01:18:16,360
Speaker 2: It seems to me like the like when the Bengals

1368
01:18:16,439 --> 01:18:20,120
Speaker 2: last went to the Super Bowl in Joe Burrow's second year. Uh,

1369
01:18:20,200 --> 01:18:25,320
Speaker 2: it's big it all they did, they did. They did

1370
01:18:25,439 --> 01:18:29,040
Speaker 2: lose ultimately in the Super Bowl to the Rams.

1371
01:18:29,160 --> 01:18:30,200
Speaker 1: But they made the super Bowl.

1372
01:18:30,280 --> 01:18:35,160
Speaker 2: But but yeah, talk radio, talk radio electric after the

1373
01:18:35,160 --> 01:18:37,880
Speaker 2: Bengels had that success. Andy, So, I don't know if

1374
01:18:37,880 --> 01:18:39,200
Speaker 2: you're telling me the truth or not.

1375
01:18:40,760 --> 01:18:43,760
Speaker 3: On a week two week basis, the local talk show

1376
01:18:43,800 --> 01:18:47,519
Speaker 3: hosts host love when they lose because the phone lines

1377
01:18:47,560 --> 01:18:49,920
Speaker 3: light up. Fire this guy, get rid of this guy.

1378
01:18:50,000 --> 01:18:53,760
Speaker 3: This guy's a bump. Really, you know all all preseason,

1379
01:18:54,080 --> 01:18:57,240
Speaker 3: you gotta sign Jamar Chase, you gotta sign t Higgins.

1380
01:18:57,400 --> 01:19:00,360
Speaker 3: Now I'm hearing the talk shows. Now they had too

1381
01:19:00,439 --> 01:19:03,360
Speaker 3: much money on the offensive side of the ball. See

1382
01:19:03,520 --> 01:19:04,639
Speaker 3: that's what it's all about.

1383
01:19:04,720 --> 01:19:08,400
Speaker 1: Controversy. There's no happy medium really.

1384
01:19:09,000 --> 01:19:10,920
Speaker 2: Well, you know, I always say, and you use that

1385
01:19:11,040 --> 01:19:15,519
Speaker 2: term happy medium. If anyone could really truly foresee the future,

1386
01:19:15,800 --> 01:19:18,160
Speaker 2: they'd be miserable. There are no such things as happy

1387
01:19:18,200 --> 01:19:20,840
Speaker 2: mediums because they know how bleak the future really is.

1388
01:19:20,920 --> 01:19:22,559
Speaker 5: Andy, It's not bleaked.

1389
01:19:22,560 --> 01:19:25,000
Speaker 1: The future is great. Everybody looks forward to the studio.

1390
01:19:24,880 --> 01:19:28,280
Speaker 2: The future, the future, the future, and this Bengals team

1391
01:19:28,479 --> 01:19:31,760
Speaker 2: is bleak. And I'm not trying to agree. I'm not

1392
01:19:31,800 --> 01:19:35,680
Speaker 2: trying to harvest any kind of hostility or animosity or

1393
01:19:35,720 --> 01:19:38,680
Speaker 2: generate phone calls because you're the only phone call that

1394
01:19:39,160 --> 01:19:39,920
Speaker 2: matters right now.

1395
01:19:39,960 --> 01:19:41,439
Speaker 3: Well, I will tell you this because in the car

1396
01:19:41,560 --> 01:19:44,280
Speaker 3: yesterday and I heard a phone call saying that this

1397
01:19:44,520 --> 01:19:47,439
Speaker 3: Bengals team will never win as long as Mike Brown

1398
01:19:47,439 --> 01:19:49,720
Speaker 3: owns a team. And I was almost tempted to pull

1399
01:19:49,760 --> 01:19:51,160
Speaker 3: over the side of the road and call in.

1400
01:19:51,479 --> 01:19:53,160
Speaker 1: Really, because what does.

1401
01:19:53,000 --> 01:19:56,080
Speaker 3: Mike Brown have to do with missing tackles? I don't

1402
01:19:56,240 --> 01:19:58,720
Speaker 3: understand why he gets such a bad rock. I know

1403
01:19:58,800 --> 01:20:01,800
Speaker 3: he's the owner of the team, but come on, get

1404
01:20:01,800 --> 01:20:04,439
Speaker 3: off his back. I mean, I think he's a wonderful man,

1405
01:20:04,479 --> 01:20:06,880
Speaker 3: and God bless him, he's ninety years old. I would

1406
01:20:06,960 --> 01:20:09,680
Speaker 3: love to see him get a Super Bowl ring, oh

1407
01:20:09,800 --> 01:20:13,080
Speaker 3: before his time is up. And now I'm very cole

1408
01:20:13,120 --> 01:20:16,240
Speaker 3: to say he doesn't want to win. What moron owning

1409
01:20:16,280 --> 01:20:17,679
Speaker 3: a team does not want to win?

1410
01:20:17,920 --> 01:20:20,080
Speaker 1: Tell me about that. Really, if you want a team

1411
01:20:20,120 --> 01:20:22,000
Speaker 1: you don't want to win, that he.

1412
01:20:22,040 --> 01:20:24,200
Speaker 3: May not know that there's wo to win, and then

1413
01:20:24,520 --> 01:20:26,160
Speaker 3: but he certainly wants to win.

1414
01:20:26,800 --> 01:20:29,880
Speaker 2: And then there's the other side of the issue. And

1415
01:20:29,960 --> 01:20:32,800
Speaker 2: people might argue this, Andy, in response to what you

1416
01:20:32,880 --> 01:20:39,320
Speaker 2: just said, maybe Mike Brown wins every season. Mike Brown

1417
01:20:39,360 --> 01:20:42,360
Speaker 2: and the Brown family wins every season. And you can

1418
01:20:42,400 --> 01:20:47,760
Speaker 2: make that argument because they are multimillionaires. They don't lose money,

1419
01:20:47,920 --> 01:20:54,719
Speaker 2: and in fact, they they absolutely cash in Bengals.

1420
01:20:52,760 --> 01:20:55,240
Speaker 3: With the owner of the Carolina Panthers too.

1421
01:20:55,720 --> 01:20:57,000
Speaker 1: You can say that about everyone because.

1422
01:20:58,920 --> 01:21:01,519
Speaker 3: I will say this, bake, keep on losing, they will

1423
01:21:01,600 --> 01:21:02,400
Speaker 3: take a big hit.

1424
01:21:02,720 --> 01:21:05,240
Speaker 1: Is for a season tickets to concern and you remember

1425
01:21:05,280 --> 01:21:08,160
Speaker 1: several years ago I do that was like thirty thousand

1426
01:21:08,200 --> 01:21:08,559
Speaker 1: a game.

1427
01:21:08,760 --> 01:21:08,920
Speaker 5: There.

1428
01:21:08,920 --> 01:21:10,960
Speaker 1: It is revenue right there that would be lost.

1429
01:21:11,800 --> 01:21:16,200
Speaker 2: I agree, but I'm just saying that from a business standpoint,

1430
01:21:16,600 --> 01:21:22,519
Speaker 2: the Brown family wins, including Mike, every single game because

1431
01:21:22,640 --> 01:21:23,920
Speaker 2: they're in the black.

1432
01:21:24,080 --> 01:21:26,639
Speaker 3: He played football at Dartmouth. He wants to win. He's

1433
01:21:26,640 --> 01:21:27,200
Speaker 3: in it to win.

1434
01:21:27,280 --> 01:21:28,559
Speaker 1: Believe it. What they want to win?

1435
01:21:28,600 --> 01:21:31,520
Speaker 2: Well, hold on, hold on, hold on. He played football

1436
01:21:31,640 --> 01:21:35,639
Speaker 2: at Dartmouth. He wants to win. When was Dartmouth's last

1437
01:21:35,680 --> 01:21:36,559
Speaker 2: winning season?

1438
01:21:36,600 --> 01:21:39,639
Speaker 3: Andy, I have no idea, but you know he played

1439
01:21:39,640 --> 01:21:42,479
Speaker 3: college football. Reggie Williams played at Dartmouth. A lot of

1440
01:21:42,479 --> 01:21:45,599
Speaker 3: players people play at Dartmouth. I mean, what's wrong with Dartmouth?

1441
01:21:46,080 --> 01:21:47,160
Speaker 3: I mean, really, I don't know.

1442
01:21:47,479 --> 01:21:50,120
Speaker 2: People have been asking that question for years when it

1443
01:21:50,120 --> 01:21:54,240
Speaker 2: comes to Dartmouth football. What's wrong with Dartmouth. I'm looking

1444
01:21:54,280 --> 01:22:00,600
Speaker 2: it up right now. Dartmouthshire, I know where it is. Yeah,

1445
01:21:59,520 --> 01:22:04,519
Speaker 2: they're not for football for academics. Listen, let me tell

1446
01:22:04,520 --> 01:22:08,240
Speaker 2: you about Dartmouth. Dartmouth is second in the IVY League,

1447
01:22:09,560 --> 01:22:15,280
Speaker 2: the Big Green Football. You know they still have to play.

1448
01:22:15,120 --> 01:22:20,360
Speaker 2: They have to play Harvard coming up this coming Saturday,

1449
01:22:21,280 --> 01:22:27,240
Speaker 2: then Princeton, then Cornell and then Brown. We're back to

1450
01:22:27,280 --> 01:22:27,960
Speaker 2: the Brown family.

1451
01:22:28,520 --> 01:22:29,719
Speaker 1: I think that the worst is over.

1452
01:22:30,200 --> 01:22:31,160
Speaker 2: So there's their.

1453
01:22:31,040 --> 01:22:35,439
Speaker 3: Second and so I guess if you play.

1454
01:22:34,439 --> 01:22:37,439
Speaker 2: If you play football at Dartmouth, you do care about winning.

1455
01:22:37,479 --> 01:22:40,840
Speaker 2: You were right. Mike Brown played football at Dartmouth, and

1456
01:22:40,880 --> 01:22:41,759
Speaker 2: he cares about.

1457
01:22:41,640 --> 01:22:45,400
Speaker 3: Obviously you never played sports or never I did play.

1458
01:22:48,200 --> 01:22:49,160
Speaker 1: You put the uniform on.

1459
01:22:49,320 --> 01:22:50,400
Speaker 6: I don't care who you are.

1460
01:22:50,520 --> 01:22:53,439
Speaker 3: You could play stickball in the park, Okay, you could

1461
01:22:53,560 --> 01:22:56,160
Speaker 3: as lom as you put a uniform on your competing

1462
01:22:56,200 --> 01:22:57,559
Speaker 3: in the game you want to win.

1463
01:22:57,800 --> 01:23:01,840
Speaker 2: Did you have Did you have stickball uniforms back in Brooklyn, Andy?

1464
01:23:02,760 --> 01:23:05,520
Speaker 1: No, we just blow t shirts.

1465
01:23:05,600 --> 01:23:07,840
Speaker 2: So you just used their uniform reference. Let me tell

1466
01:23:07,840 --> 01:23:11,280
Speaker 2: you something. I proudly put on the uniform of the

1467
01:23:11,360 --> 01:23:16,200
Speaker 2: Knox DAWs Red Raiders in eight to ninth grade playing basketball.

1468
01:23:17,560 --> 01:23:19,720
Speaker 1: I just well, if you lost, you felt a little

1469
01:23:19,800 --> 01:23:20,479
Speaker 1: down for me.

1470
01:23:20,560 --> 01:23:22,519
Speaker 2: I just I just wanted to get in the game.

1471
01:23:23,720 --> 01:23:27,680
Speaker 2: Forget forget about wanting to win. You know, if we

1472
01:23:27,760 --> 01:23:30,559
Speaker 2: were being blown out or we're blowing someone out on

1473
01:23:30,640 --> 01:23:33,320
Speaker 2: either side, I usually got in. And there was one

1474
01:23:33,360 --> 01:23:38,000
Speaker 2: game against Mount Juliet this is in Tennessee, ninth grade basketball,

1475
01:23:38,600 --> 01:23:41,000
Speaker 2: where me and a guy named Tommy Gwill both got

1476
01:23:41,000 --> 01:23:44,040
Speaker 2: in the game. The team was down by five points

1477
01:23:44,160 --> 01:23:47,360
Speaker 2: as we entered the fourth quarter. The coach was furious

1478
01:23:47,439 --> 01:23:51,599
Speaker 2: with the starters. He put us in and we brought

1479
01:23:51,640 --> 01:23:54,360
Speaker 2: the team back and we won the game because of

1480
01:23:54,479 --> 01:23:55,720
Speaker 2: our contribution to do.

1481
01:23:55,840 --> 01:23:57,640
Speaker 1: I'm just curious, what did you have to do with it?

1482
01:23:57,720 --> 01:23:59,080
Speaker 1: I mean we what was your game.

1483
01:24:00,600 --> 01:24:04,479
Speaker 2: I had? I had two steals, one a stolen pass

1484
01:24:04,600 --> 01:24:08,400
Speaker 2: and one uh stolen on the dribble. And I had

1485
01:24:08,439 --> 01:24:11,599
Speaker 2: a fast break lay up. I had a twenty foot

1486
01:24:11,680 --> 01:24:15,200
Speaker 2: shot that went straight through, and I had a mid

1487
01:24:15,280 --> 01:24:17,760
Speaker 2: range jumper just below the free throw line in the

1488
01:24:17,800 --> 01:24:20,880
Speaker 2: middle of traffic. I scored six points in the fourth quarter.

1489
01:24:20,960 --> 01:24:24,520
Speaker 2: This is in junior high basketball. Andy had two spins

1490
01:24:24,560 --> 01:24:26,880
Speaker 2: and two rebounds. What do you mean what happened? I

1491
01:24:27,040 --> 01:24:28,120
Speaker 2: was a super sill.

1492
01:24:28,720 --> 01:24:31,479
Speaker 3: You peak, You peaked too early in life, That's what happened.

1493
01:24:32,640 --> 01:24:36,439
Speaker 1: No, I mean I was I guess right.

1494
01:24:36,520 --> 01:24:39,120
Speaker 2: I was five foot I was five foot ten, and

1495
01:24:39,200 --> 01:24:42,360
Speaker 2: I had white Man's disease. I mean I could touch

1496
01:24:42,400 --> 01:24:44,880
Speaker 2: the rim, but that was about it. But I did

1497
01:24:44,960 --> 01:24:47,599
Speaker 2: care about winning. You're right, you put on the uniform.

1498
01:24:47,920 --> 01:24:49,320
Speaker 2: You care about winning.

1499
01:24:49,920 --> 01:24:51,000
Speaker 6: No doubt, no doubt.

1500
01:24:51,200 --> 01:24:53,879
Speaker 3: But he here's the thing now, losing and the Bangalos

1501
01:24:53,960 --> 01:24:55,640
Speaker 3: are losing, and there was a terrible loss that may

1502
01:24:55,640 --> 01:24:58,160
Speaker 3: have been the worst loss in Zach Zack Taylor's career.

1503
01:24:58,200 --> 01:25:01,600
Speaker 1: Here in sustain the game away right. So, but I

1504
01:25:01,600 --> 01:25:02,040
Speaker 1: will tell you this.

1505
01:25:02,080 --> 01:25:05,640
Speaker 3: So yesterday I believe it was I had a.

1506
01:25:04,760 --> 01:25:05,960
Speaker 1: Player's only meeting.

1507
01:25:06,520 --> 01:25:08,000
Speaker 3: So what is that you know that? You know what

1508
01:25:08,040 --> 01:25:10,960
Speaker 3: that does? I mean the average Joseph that's good. The

1509
01:25:11,160 --> 01:25:14,200
Speaker 3: players can't having him. No, it's a finger pointing where

1510
01:25:14,760 --> 01:25:16,880
Speaker 3: the locker room is beginning to crack.

1511
01:25:17,360 --> 01:25:17,880
Speaker 1: That's what it is.

1512
01:25:17,960 --> 01:25:20,200
Speaker 3: Finger pointing like you're not doing your job.

1513
01:25:20,439 --> 01:25:21,080
Speaker 1: Play better.

1514
01:25:21,400 --> 01:25:24,360
Speaker 3: Get Really, I would say this, and they talk about

1515
01:25:24,439 --> 01:25:26,080
Speaker 3: Duke tobh they talking about Zach Taylor.

1516
01:25:26,479 --> 01:25:29,559
Speaker 1: Here's the bottom line. You need it. We certainly talked

1517
01:25:29,560 --> 01:25:30,920
Speaker 1: about this, maybe even a week ago.

1518
01:25:31,520 --> 01:25:32,120
Speaker 6: You need a.

1519
01:25:32,040 --> 01:25:36,120
Speaker 3: Coach that's a leader that could get respect, that has

1520
01:25:36,200 --> 01:25:38,840
Speaker 3: played the game, that has been there, done that, and

1521
01:25:38,920 --> 01:25:41,160
Speaker 3: also puts a little bit of fear in these players.

1522
01:25:41,400 --> 01:25:44,400
Speaker 3: These guys love Zach Taylor. Zach Taylor is a wonderful man.

1523
01:25:44,720 --> 01:25:47,040
Speaker 3: He's a good husband, a good father, good family man,

1524
01:25:47,160 --> 01:25:49,559
Speaker 3: a very nice guy. Maybe he's too nice a guy

1525
01:25:49,600 --> 01:25:52,760
Speaker 3: to be a coach. That's the problem. Dan Campbell will

1526
01:25:52,840 --> 01:25:55,040
Speaker 3: cheer you up and spit you out, and that's why

1527
01:25:55,160 --> 01:25:56,240
Speaker 3: Detroy Lions win.

1528
01:25:56,560 --> 01:25:57,000
Speaker 6: All Right.

1529
01:25:57,200 --> 01:25:59,360
Speaker 3: You look at these coaches that have an attitude, that

1530
01:25:59,400 --> 01:26:01,240
Speaker 3: are tough, that give you that stare.

1531
01:26:01,520 --> 01:26:03,360
Speaker 1: The media are afraid of these guys.

1532
01:26:03,560 --> 01:26:06,839
Speaker 3: Really the postgame news conferences, they're friend. Ask Dan Campbell

1533
01:26:06,840 --> 01:26:11,200
Speaker 3: a question, really many'll know. But again and with Zach Taylor,

1534
01:26:11,240 --> 01:26:14,040
Speaker 3: it's like it's different and they need to get a

1535
01:26:14,120 --> 01:26:17,679
Speaker 3: coach who could bring discipline. These guys aren't bad. They're

1536
01:26:17,720 --> 01:26:20,200
Speaker 3: not bad football players in the National Football And you

1537
01:26:20,240 --> 01:26:22,200
Speaker 3: know this as well as anybody else. There's not that

1538
01:26:22,320 --> 01:26:23,920
Speaker 3: much of a difference between Team A.

1539
01:26:24,000 --> 01:26:25,320
Speaker 1: And T B with talent.

1540
01:26:25,400 --> 01:26:27,880
Speaker 3: If you make the NFL, you're pretty good, but you

1541
01:26:27,960 --> 01:26:29,960
Speaker 3: need to be developed by a coach who could bring

1542
01:26:29,960 --> 01:26:30,760
Speaker 3: the best out of you.

1543
01:26:31,560 --> 01:26:35,120
Speaker 2: Well under the under the guys of you gotta you

1544
01:26:35,280 --> 01:26:37,479
Speaker 2: gotta be a tough as nuts kind of guy to

1545
01:26:37,840 --> 01:26:40,720
Speaker 2: be a successful NFL coach. What about Andy Reid? He

1546
01:26:40,760 --> 01:26:44,520
Speaker 2: doesn't seem like he's that that bearish on the sideline.

1547
01:26:44,160 --> 01:26:46,479
Speaker 3: Respect you're because Marv Levy was not tough.

1548
01:26:47,240 --> 01:26:48,439
Speaker 1: I don't really, you know.

1549
01:26:49,040 --> 01:26:51,960
Speaker 3: So there are guys that's successful, but it's the personality.

1550
01:26:51,960 --> 01:26:55,360
Speaker 3: They're good leaders and players believe in them. Yeah, and

1551
01:26:55,400 --> 01:26:57,960
Speaker 3: they'll get them.

1552
01:26:57,400 --> 01:26:57,600
Speaker 1: You know.

1553
01:26:57,880 --> 01:27:00,280
Speaker 3: I am sure that players could come to me things

1554
01:27:00,360 --> 01:27:03,640
Speaker 3: late with the Bengals have nothing to said, really, I

1555
01:27:03,640 --> 01:27:06,160
Speaker 3: mean I I've talked to players that played for Bill Belichick.

1556
01:27:06,320 --> 01:27:08,439
Speaker 3: They said they would sit there watch ten minutes earlier

1557
01:27:08,600 --> 01:27:09,759
Speaker 3: just for fear of being.

1558
01:27:09,640 --> 01:27:11,599
Speaker 1: Late to a meeting. That's what they do.

1559
01:27:12,040 --> 01:27:14,720
Speaker 3: I don't think that happens. I might be wrong, but

1560
01:27:14,800 --> 01:27:15,720
Speaker 3: I'm pretty sure I'm not.

1561
01:27:16,840 --> 01:27:22,280
Speaker 2: Yeah, well, I mean Zach Taylor's coaching expertise has been

1562
01:27:22,400 --> 01:27:26,400
Speaker 2: questioned all along as play calling is always questions, and

1563
01:27:25,920 --> 01:27:29,400
Speaker 2: it certainly was and it seems like there were no

1564
01:27:29,479 --> 01:27:32,240
Speaker 2: tea there's no teeth to that defense once again on

1565
01:27:32,360 --> 01:27:36,439
Speaker 2: Sunday against the team that had not won a game

1566
01:27:36,520 --> 01:27:37,599
Speaker 2: yet in the NFL.

1567
01:27:37,640 --> 01:27:41,040
Speaker 3: And you know, the running game was was rolling, yes,

1568
01:27:41,120 --> 01:27:44,519
Speaker 3: and they stop the second half?

1569
01:27:44,520 --> 01:27:45,400
Speaker 6: They didn't.

1570
01:27:45,400 --> 01:27:47,160
Speaker 2: They didn't run the ball in the second half.

1571
01:27:47,680 --> 01:27:50,479
Speaker 3: Why he had three three consecutive pass plays at the

1572
01:27:50,560 --> 01:27:51,519
Speaker 3: end of the fourth quarter.

1573
01:27:51,720 --> 01:27:53,160
Speaker 1: Why the running.

1574
01:27:52,880 --> 01:27:57,160
Speaker 3: Game was was dominant, really rolling in the one game

1575
01:27:57,280 --> 01:27:59,760
Speaker 3: and he changed it. I sometimes think the game is

1576
01:27:59,760 --> 01:28:02,560
Speaker 3: too with Zach Taylor. And as they say, he's a

1577
01:28:02,640 --> 01:28:04,559
Speaker 3: nice man, but he hasn't got the.

1578
01:28:04,520 --> 01:28:06,000
Speaker 1: Experience under his belt.

1579
01:28:06,439 --> 01:28:09,920
Speaker 3: Really, you know, you're talking about your guy in Kansas City,

1580
01:28:10,240 --> 01:28:13,240
Speaker 3: Andy Reid. He had the experience because for years he

1581
01:28:13,280 --> 01:28:16,320
Speaker 3: was in Philadelphia, right right, it comes to Kansas City.

1582
01:28:16,479 --> 01:28:20,519
Speaker 3: What experience you have to have experience? Really, you're a

1583
01:28:20,680 --> 01:28:23,680
Speaker 3: radio guy, you got like thirty forty years experience.

1584
01:28:23,960 --> 01:28:26,160
Speaker 1: You just can't throw a kid behind the microphones.

1585
01:28:26,240 --> 01:28:28,160
Speaker 3: They do it, they have the talent, but you got

1586
01:28:28,160 --> 01:28:30,639
Speaker 3: to be polished, you got to be led. Forrest Gregg

1587
01:28:30,760 --> 01:28:32,720
Speaker 3: was a great coach here. It was tough. He knew

1588
01:28:32,760 --> 01:28:34,920
Speaker 3: the football game. You look at the coaches that have

1589
01:28:35,000 --> 01:28:37,559
Speaker 3: coached the Cincinnati Bengals, how many of them have had

1590
01:28:37,840 --> 01:28:40,840
Speaker 3: NFL experience and the ones that have not, most of

1591
01:28:40,880 --> 01:28:44,840
Speaker 3: them failed. Dave Schuler came here on his name, never

1592
01:28:44,920 --> 01:28:48,920
Speaker 3: coached before, was horrendous, and Bet Taylor's following the same round.

1593
01:28:49,320 --> 01:28:52,120
Speaker 2: I have to agree with you on the Dame Shula

1594
01:28:52,240 --> 01:28:57,719
Speaker 2: comparison to Zach Taylor and Dave Shula was the reason

1595
01:28:57,920 --> 01:29:00,880
Speaker 2: that was hard for me when I moved here to

1596
01:29:00,960 --> 01:29:04,400
Speaker 2: get into watching the Bengals play because it was so woeful.

1597
01:29:04,760 --> 01:29:08,000
Speaker 2: And you know what, he turned to a guy who

1598
01:29:08,040 --> 01:29:12,080
Speaker 2: could have been, uh, you know, a serviceable NFL quarterback

1599
01:29:12,080 --> 01:29:15,240
Speaker 2: into a laughingstock. And David Klinger with the fact that

1600
01:29:15,280 --> 01:29:18,160
Speaker 2: he just and the fact that people hired Dave Shula

1601
01:29:18,280 --> 01:29:22,920
Speaker 2: after his head coaching Stinton Cincinnati to be an offensive coordinator.

1602
01:29:22,960 --> 01:29:25,400
Speaker 2: Offensive coach just really makes me laugh.

1603
01:29:26,760 --> 01:29:31,639
Speaker 3: Dave football game when Gary Reasons pulled a cap over

1604
01:29:31,760 --> 01:29:36,200
Speaker 3: Dave Shula's head, it was no respect. It's all about respect. Well,

1605
01:29:36,240 --> 01:29:38,880
Speaker 3: these coaches all know exes and homes. There's no doubt

1606
01:29:38,880 --> 01:29:40,400
Speaker 3: in my mind they know the game of football.

1607
01:29:40,600 --> 01:29:44,120
Speaker 1: Really, they don't want football, you know, in a symbol

1608
01:29:44,160 --> 01:29:46,599
Speaker 1: that that I could learn in my lifetime. But that's

1609
01:29:46,600 --> 01:29:47,040
Speaker 1: their job.

1610
01:29:47,040 --> 01:29:49,439
Speaker 3: It's not my job. It's their job, and they know it.

1611
01:29:49,640 --> 01:29:52,479
Speaker 3: It's how you teach the game. That's how it's that's

1612
01:29:52,479 --> 01:29:54,960
Speaker 3: how it's that. That's how you become one better than

1613
01:29:54,960 --> 01:29:57,280
Speaker 3: the other, how he becomes successful, how you teach the

1614
01:29:57,360 --> 01:30:00,320
Speaker 3: game to others, and it is they could listen to you.

1615
01:30:00,600 --> 01:30:03,360
Speaker 3: This team only meeting, I think it's dangerous.

1616
01:30:03,400 --> 01:30:03,800
Speaker 1: I really do.

1617
01:30:03,920 --> 01:30:06,640
Speaker 3: I really closed door players only meeting. I think it's

1618
01:30:06,640 --> 01:30:08,000
Speaker 3: a dangerous thing. I really do.

1619
01:30:08,120 --> 01:30:11,160
Speaker 2: You mentioned the close knit nature of the fraternity of

1620
01:30:11,280 --> 01:30:16,920
Speaker 2: NFL head coaches. Maybe the whole thing was designed to

1621
01:30:17,040 --> 01:30:20,439
Speaker 2: save Aaron Glenn's job because Zach Taylor knew that Mike

1622
01:30:20,479 --> 01:30:22,840
Speaker 2: Brown will continue to pay him whether they win or not.

1623
01:30:23,280 --> 01:30:25,840
Speaker 2: And and Aaron Glenn came in with the Jets and

1624
01:30:25,880 --> 01:30:28,320
Speaker 2: he hadn't won a game let yet this year, and

1625
01:30:28,360 --> 01:30:31,439
Speaker 2: there's so much frustration in New York over the Jets

1626
01:30:31,920 --> 01:30:35,599
Speaker 2: not being able to scratch. And maybe maybe Zach Taylor

1627
01:30:35,680 --> 01:30:38,439
Speaker 2: was just doing a solid for Aaron Glenn with the coaching.

1628
01:30:38,960 --> 01:30:40,760
Speaker 1: Tell you this, but if you watch that Jet team there,

1629
01:30:40,760 --> 01:30:42,000
Speaker 1: you got to give the Aaron Glenn a lot of

1630
01:30:42,000 --> 01:30:44,200
Speaker 1: credit to us. I didn't see that team quit. No,

1631
01:30:44,240 --> 01:30:45,519
Speaker 1: I didn't see the team quit on him.

1632
01:30:45,720 --> 01:30:45,960
Speaker 2: Never.

1633
01:30:46,000 --> 01:30:48,679
Speaker 3: They played hard, and I don't think they're a bad team.

1634
01:30:49,160 --> 01:30:51,640
Speaker 3: They lost several games, but just a few points but

1635
01:30:51,800 --> 01:30:53,120
Speaker 3: less than a touchdown, So.

1636
01:30:53,080 --> 01:30:54,479
Speaker 1: I think they're really good.

1637
01:30:54,520 --> 01:30:54,680
Speaker 5: Now.

1638
01:30:54,840 --> 01:30:57,160
Speaker 3: I think they got that quarterback. Now, that's the key

1639
01:30:57,160 --> 01:30:59,479
Speaker 3: to Tyron Taylor. And I knew and I'm not saying

1640
01:30:59,479 --> 01:31:01,320
Speaker 3: this because game is over now, but I knew that

1641
01:31:01,560 --> 01:31:04,560
Speaker 3: they'd be more dangerous without Tyron Taylor because Taylor.

1642
01:31:04,400 --> 01:31:06,120
Speaker 1: Cannot run the football. You know.

1643
01:31:06,200 --> 01:31:08,400
Speaker 3: They ran the football on the center. That's what they

1644
01:31:08,400 --> 01:31:11,720
Speaker 3: did against the Bengals and it worked. So I think

1645
01:31:11,760 --> 01:31:14,120
Speaker 3: they found themselves a quarterback. And maybe maybe it was

1646
01:31:14,160 --> 01:31:17,160
Speaker 3: the motivation by their owner Woody Johnson who basically said,

1647
01:31:17,200 --> 01:31:18,640
Speaker 3: I hope we could get a quarterback here that a

1648
01:31:18,720 --> 01:31:21,120
Speaker 3: cold complete a pass that may have been the motivation

1649
01:31:21,280 --> 01:31:24,599
Speaker 3: needed for him to go out there and play and

1650
01:31:24,640 --> 01:31:27,479
Speaker 3: beat the Bengals. Could you believe that that game on Sunday,

1651
01:31:27,640 --> 01:31:29,479
Speaker 3: the only time that Jets led was in the game

1652
01:31:29,560 --> 01:31:31,640
Speaker 3: was over Yeah, the only time they led that.

1653
01:31:32,439 --> 01:31:32,760
Speaker 1: I know.

1654
01:31:33,200 --> 01:31:36,640
Speaker 2: How about this? How about all of the all the

1655
01:31:36,640 --> 01:31:41,520
Speaker 2: hoopla over Hendricks Henderson before the season. You know, Willie

1656
01:31:41,600 --> 01:31:44,800
Speaker 2: sign is he going to sit out the whole miss

1657
01:31:44,920 --> 01:31:45,479
Speaker 2: man now?

1658
01:31:45,680 --> 01:31:46,040
Speaker 1: And and.

1659
01:31:47,560 --> 01:31:50,760
Speaker 2: All of this. He was so important to be on

1660
01:31:50,800 --> 01:31:53,759
Speaker 2: that defense to give the Bengals a bona fide pass rusher.

1661
01:31:54,320 --> 01:31:57,800
Speaker 2: And after all of that hand rigging and all the

1662
01:31:57,800 --> 01:32:00,480
Speaker 2: money that the Bengals had to pay to keep him,

1663
01:32:00,880 --> 01:32:04,879
Speaker 2: and they'd probably franchise tag him after this season. Uh

1664
01:32:05,240 --> 01:32:07,479
Speaker 2: and and he's he's not even a factor because he's

1665
01:32:07,479 --> 01:32:08,839
Speaker 2: not in the game. He's hurt.

1666
01:32:09,439 --> 01:32:11,240
Speaker 3: Well, he got a cheap shot, he really did. If

1667
01:32:11,280 --> 01:32:12,760
Speaker 3: you watch the game, he got hit. It was a

1668
01:32:12,800 --> 01:32:13,200
Speaker 3: chief shot.

1669
01:32:13,240 --> 01:32:15,840
Speaker 2: They should have called I would agree, you know, but

1670
01:32:15,880 --> 01:32:18,080
Speaker 2: it's just funny work out.

1671
01:32:19,400 --> 01:32:20,720
Speaker 3: You know, he's not going to play pie, not going

1672
01:32:20,800 --> 01:32:22,920
Speaker 3: to play this week against the Bears, and I tell

1673
01:32:22,920 --> 01:32:25,000
Speaker 3: you right now, I mean if the Bears win, the

1674
01:32:25,040 --> 01:32:27,320
Speaker 3: Bears win Sunday, and you know, I would think the

1675
01:32:27,320 --> 01:32:28,040
Speaker 3: Bears probably.

1676
01:32:27,800 --> 01:32:29,479
Speaker 1: Would be favored, you know, in this game.

1677
01:32:29,479 --> 01:32:30,960
Speaker 3: I really think even though it's a home game, I

1678
01:32:31,280 --> 01:32:33,000
Speaker 3: know you can just wash away the season.

1679
01:32:33,080 --> 01:32:33,280
Speaker 5: I have.

1680
01:32:33,400 --> 01:32:36,920
Speaker 2: Really, I have no, no, no reason to think of

1681
01:32:37,000 --> 01:32:38,840
Speaker 2: why the Bears wouldn't be favored. Andy.

1682
01:32:39,520 --> 01:32:40,840
Speaker 1: Really, They've got a great coach.

1683
01:32:41,240 --> 01:32:45,000
Speaker 3: He learned under the Detroit Lion system, under Dan Campbell system.

1684
01:32:45,000 --> 01:32:46,960
Speaker 3: He's a good head coach. He turned around and the

1685
01:32:46,960 --> 01:32:48,960
Speaker 3: Bears have a running game, which they didn't have in

1686
01:32:48,960 --> 01:32:50,960
Speaker 3: the past. And when you have a running game against

1687
01:32:50,960 --> 01:32:53,640
Speaker 3: the Bengal defense that can't stop the run, bingo, what

1688
01:32:53,640 --> 01:32:54,200
Speaker 3: does that mean?

1689
01:32:54,400 --> 01:32:57,400
Speaker 2: Maybe maybe Mike Brown should be at that players only

1690
01:32:57,479 --> 01:33:02,559
Speaker 2: meeting to two to bring the winning spirit of Dartmouth

1691
01:33:02,600 --> 01:33:05,320
Speaker 2: football to his Cincinnati Bengals series.

1692
01:33:06,040 --> 01:33:06,639
Speaker 6: Listen to you.

1693
01:33:06,640 --> 01:33:10,120
Speaker 3: You know, there's one guy I feel so good about today,

1694
01:33:10,479 --> 01:33:15,080
Speaker 3: and that's lou Anaumo, the Indianapolis Colts defensive coordinator. Indianapolis

1695
01:33:15,120 --> 01:33:18,200
Speaker 3: has the best record in the National Football League seven

1696
01:33:18,240 --> 01:33:20,760
Speaker 3: to one, and they shouldn't know, but they had that

1697
01:33:20,840 --> 01:33:23,680
Speaker 3: one clown who had the ball over his head and

1698
01:33:23,720 --> 01:33:26,160
Speaker 3: he lost it before he crossed the goal line and

1699
01:33:26,200 --> 01:33:28,280
Speaker 3: he fumbled it and they lost that ball game. But

1700
01:33:28,360 --> 01:33:30,160
Speaker 3: they should be eight and oh there's seven to one

1701
01:33:30,439 --> 01:33:32,600
Speaker 3: and Louis get doing the job. So you know he

1702
01:33:32,680 --> 01:33:34,960
Speaker 3: was a scapegoat, and now we know that he was

1703
01:33:34,960 --> 01:33:37,400
Speaker 3: not the scapegoat. And the funny thing is they bring

1704
01:33:37,439 --> 01:33:41,200
Speaker 3: him the defensive coordinator from Notre Dame. Right, he's here now,

1705
01:33:41,800 --> 01:33:44,879
Speaker 3: Golden Al, Golden and now his name has been surface

1706
01:33:44,960 --> 01:33:47,200
Speaker 3: and rumored to be the next coach at Penn State.

1707
01:33:47,320 --> 01:33:50,360
Speaker 2: Well, maybe maybe the Bengals should bring me into a

1708
01:33:50,400 --> 01:33:52,960
Speaker 2: player's only meeting and I can speak is the super

1709
01:33:53,000 --> 01:33:56,080
Speaker 2: sub of the Noxtars Red Raiders in ninth grade when

1710
01:33:56,120 --> 01:33:59,519
Speaker 2: I led the team as a super sub to victory

1711
01:33:59,600 --> 01:34:02,639
Speaker 2: on the road in Mount Juliet, Tennessee. Andy, we've got

1712
01:34:02,640 --> 01:34:02,800
Speaker 2: to go.

1713
01:34:02,920 --> 01:34:06,040
Speaker 3: I'm sorry, all right, my friend, have a good week.

1714
01:34:06,120 --> 01:34:07,080
Speaker 1: I'll see you next week.

1715
01:34:07,160 --> 01:34:12,719
Speaker 2: I'm recovering. I have broken ribs next week. Nobody cares.

1716
01:34:12,800 --> 01:34:14,760
Speaker 2: Andy tells me, I do care.

1717
01:34:14,920 --> 01:34:17,320
Speaker 3: I care now, I care because I've finished.

1718
01:34:17,320 --> 01:34:22,320
Speaker 2: Now I can thank you. Goodbye. We'll close next