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Speaker 1: All right, the average American and for the great American

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Speaker 1: once again on this Thursday. Great to have you with us.

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Speaker 1: Don't say that capriciously. This is the great medium of

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Speaker 1: terrestrial radio. But even if you are listening on the

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Speaker 1: great iHeartMedia app, we welcome you in once again for

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Speaker 1: the next three hours. A lot going on today, of course,

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Speaker 1: major news coming out of the NBA gambling scandal, FBI

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Speaker 1: all over it will have that in just a bit.

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Speaker 1: We also are watching exactly what's going on from a

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Speaker 1: geopolitical standpoint between the United States and China. And it's interesting.

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Speaker 1: Things don't exist in a vacuum when you're talking about

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Speaker 1: geopolitical situations. They simply don't. There are other players involved,

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Speaker 1: allies of certain countries, people that may facilitate what the

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Speaker 1: major superpowers want to do. And we all have our

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Speaker 1: eyes on China is our biggest adversary when it comes

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Speaker 1: to trade, and from a military standpoint, they are a

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Speaker 1: very formidable foe, and we all know over the course

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Speaker 1: of the last four years there were an inordinate amount

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Speaker 1: of military aged Chinese men that were led into this

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Speaker 1: country with unfettered access to the entire fifty United States,

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Speaker 1: and now this as the US and China get into

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Speaker 1: this urinating contest over tariffs, and right now, on November first,

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Speaker 1: it's apparently going to be a showdown date when more

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Speaker 1: US tariffs will go into effect. And you have the

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Speaker 1: Trump administration now considering a plan to curb an array

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Speaker 1: of software powered exports to China, laptops and jet engines,

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Speaker 1: all retaliating against Beijing's latest round of rare earth export restrictions.

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Speaker 1: Now we have this Venezuela becoming a player in China

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Speaker 1: v the United States. We know what the administration has

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Speaker 1: been up to with blowing up these boats that are

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Speaker 1: transporting narcotics off the coast of South America. And we

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Speaker 1: all know that they view the Venezuelan president, Nicholas Maduro

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Speaker 1: as illegitimate. And we all know that the CIA has

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Speaker 1: begin to infiltrate some of those South American countries. But

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Speaker 1: how is China and Venezuela all interlocked right now and

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Speaker 1: perhaps being a megapo against the United States. It's not

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Speaker 1: as simple as it seems. And I don't have to

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Speaker 1: tell my guests this. Joshua Philip has been on my

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Speaker 1: show before. He is a senior investigative reporter at the

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Speaker 1: Epic Times, and he's been digging into this. This is

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Speaker 1: a man who has been involved in interviewing carteil traffickers,

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Speaker 1: He's been inside Central America. He's done, as they say

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Speaker 1: in journalism, the footwork, and now working as this senior

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Speaker 1: investigative reporter for the Epic Times. He brings it all

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Speaker 1: to you on shows like Crossroads. And it's great that

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Speaker 1: he can carve out some time to spend with us

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Speaker 1: here on seven hundred A w wel w and Joshua,

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Speaker 1: how are you on this glorious Thursday.

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Speaker 2: Hey, Ken, great to hear from you, and doing doing well.

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Speaker 2: No shortage of news at the very at least, right, No, there.

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Speaker 1: Is not, and and this is concerning. Look, Venezuela to

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Speaker 1: me has always been kind of a gnat that you

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Speaker 1: just swat away. Every so often. They have dirty, dirty oil.

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Speaker 1: The United States bought some dirty oil from Venezuela. Other

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Speaker 1: people buy oil from Venezuela and just get out of

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Speaker 1: the way. You know what you're You're you're a ten.

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Speaker 1: You got a tinpot dictator in you're third world country.

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Speaker 1: But now being an all in an alliance with China,

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Speaker 1: they become more of a problem for the United States.

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Speaker 1: So let's just talk about how oil of this is related.

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Speaker 1: Are ongoing, urinating contests with China over tariffs and then Venezuela,

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Speaker 1: who is supplying that dirty oil to China. It's it's

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Speaker 1: all interlocked, is it not?

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Speaker 2: It one hundred percent is And you know, again, as

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Speaker 2: many issues tend to be, China is the big picture

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Speaker 2: with Venezuela. So you know, we've all seen some of

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Speaker 2: the videos I assume of Trump posting them and Pete

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Speaker 2: Heggs had posted them. They're blowing up these cartel boats.

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Speaker 2: And you know, when a lot of us think cartels

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Speaker 2: were thinking Mexico, we're thinking the Mexican drug cartels. We're

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Speaker 2: not really thinking like Venezuelan traffickers. Why do they come

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Speaker 2: from Venezuela. Now, if you had asked me, the real

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Speaker 2: picture of all this doesn't start the last few months.

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Speaker 2: The big picture of this actually starts back in twenty eighteen,

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Speaker 2: and that goes back to the Venezuelan elections. What happened

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Speaker 2: at the time, Well, Nicholas Maduro, the still current leader

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Speaker 2: of Venezuela, was accused of rigging the election. He was

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Speaker 2: accused by Donald Trump. He was even accused of this

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Speaker 2: by Biden. And you know, in the United States, the

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Speaker 2: whole allegation of election.

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Speaker 3: Fraud is one thing.

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Speaker 2: Even Biden accused Maduro of digging the elections, and both

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Speaker 2: Trump and Biden recognized the opposition leader as the official

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Speaker 2: leader of Venezuela. Maduro was seen as the unofficial leader,

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Speaker 2: labeled also as the leader of the Cartel of the

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Speaker 2: Sons by both Trump and Biden. The issue back in

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Speaker 2: twenty eighteen, though, was that you had huge protests on

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Speaker 2: the streets. It looked like Maduro was going to be overthrown.

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Speaker 2: They were accusing the US, Oh, you're you know, you're

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Speaker 2: trying to overthrow our government as they are right now,

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Speaker 2: right is they're saying right now. And then what happened.

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Speaker 2: The Chinese Communist Party in Russia deployed forces to Venezuela.

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Speaker 2: And during this was towards you know, I mean mid

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Speaker 2: mid first term of Trump, right, Trump was talking about

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Speaker 2: intervening in Venezuela. Russia threatened the United States. Russia said

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Speaker 2: if America intervenes, there will be bloodshed, and Trump actually

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Speaker 2: backed off with That was the end of the Venezuela story.

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Speaker 2: You know, during the first Trump term in office. But

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Speaker 2: what the story said at the time was that China

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Speaker 2: was basically trying to protect its investments in Venezuela tens

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Speaker 2: of billions of dollars, basically bailing out the country and

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Speaker 2: controlling the country. Venezuela became a puppet state of the

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Speaker 2: CCP during that time. And the other big picture is

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Speaker 2: that Venezuela now suffering from economic decline and everything else.

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Speaker 2: They want more resources. The big resource just north of

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Speaker 2: them in Guyana, where they found one of the largest

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Speaker 2: oil reserves in the world several years back. Eggs On

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Speaker 2: Mobil is currently doing a lot of the you know,

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Speaker 2: the operations there. Venezuela then comes out and claims they

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Speaker 2: have historical ownership over the part of Guyana where the

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Speaker 2: eggs on Mobile operations are, and so they're getting ready

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Speaker 2: to start a war there. They're working with Brazil Lula

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Speaker 2: now back in power, and they want to start a

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Speaker 2: war basically to retake their quote unquote you know what

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Speaker 2: belongs to them, they say.

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Speaker 3: Which is not true.

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Speaker 4: By the way.

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Speaker 2: Marco Rubio actually went down there just a few months

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Speaker 2: ago and he actually warned Venezuela, if you do this,

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Speaker 2: you will face the repercussions from the United States and

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Speaker 2: so and so not everything we see is just about drugs.

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Speaker 2: Part of it is about the CCP's investments. They're part

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Speaker 2: of it is about oil. Part of it is it

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Speaker 2: definitely about drugs. But part of it too is that

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Speaker 2: they're basically being deemed a criminal regime by the United

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Speaker 2: States and anybody who defends them as also being labeled

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Speaker 2: to stay in like Colombia.

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Speaker 1: Now, so we have this access right China, Iran, Russia,

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Speaker 1: U Venezuela is part of that, and that doesn't even

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Speaker 1: get into what Russia is trying to do with China

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Speaker 1: on another level from an economic standpoint, and it seems

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Speaker 1: like it's those group of countries against the United States.

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Speaker 1: All right, who's the brains in the operation? Is it China?

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Speaker 1: Is China the center of this?

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Speaker 4: Yeah?

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Speaker 1: Okay, So what is what does Russia coming? Why would Russia,

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Speaker 1: as John McCain once famously said, is one giant gasoline station.

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Speaker 1: Why would why would why would Russia remotely be interested

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Speaker 1: in a pool of oil in Ghana? Or is it

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Speaker 1: all China that's really interested in it and as using

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Speaker 1: Russia as its force.

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Speaker 2: So that ties into a broader agenda. So Russia working

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Speaker 2: with the Chinese Communist Party, working with these Middle Eastern powers,

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Speaker 2: working with African powers, working with powers throughout Latin America.

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Speaker 2: They have an alternate world order they're trying to push.

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Speaker 2: So you know, we all hear about bricks, right, we

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Speaker 2: hear about the Bricks Alliance. If you actually listen to

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Speaker 2: their speeches, they're talking about something else. Russia is talking

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Speaker 2: about it, the heads of Venezuela talking about African muders are.

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Speaker 3: Talking about it.

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Speaker 2: The CCP is the main model for it. They're talking

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Speaker 2: about what's called the multipolar world order, and effectively, this

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Speaker 2: is how they view it. They see that Chinese, they

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Speaker 2: see that American sanctions. You know, if you abuse your citizens,

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Speaker 2: if you start a war, if you invade another country,

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Speaker 2: as you carry out a genocide, you get sanctioned by

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Speaker 2: the United States. That is part of the packs Americana

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Speaker 2: where the United States is enforcing our interpretation of government,

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Speaker 2: which is that government is instituted among people to defend

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Speaker 2: God given rights. Communist states hate that. Tyrants hate that,

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Speaker 2: and they believe that if they're going to have power,

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Speaker 2: if they're going to trade economically, if they're going to

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Speaker 2: be you know, economic wheelhouses. They need to destroy that,

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Speaker 2: they need to destroy the packs Americana. They need to

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Speaker 2: destroy what they call the unipolar world order, meaning the

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Speaker 2: American system as the world you know, kind of model

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Speaker 2: of government, the unipolar world order.

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Speaker 4: So what they're proposing is what's.

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Speaker 2: Called the multipolar world order, which is many countries controlled

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Speaker 2: different regions. America controls America, Canada controls Canada, probably Cuba

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Speaker 2: and Venezuela in Brazil control Latin America, and Full of

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Speaker 2: Powers control Africa like an African alliance. China controls basically

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Speaker 2: all of East Asia. Russia controls the former Soviet Union,

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Speaker 2: and then influences you know, western Western Europe knows, yeah,

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Speaker 2: Western Europe through mostly energy trade, and that's what they want.

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Speaker 2: They want America just to be a seat at the

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Speaker 2: paved table, and they want to overthrow the American system

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Speaker 2: of sanctions.

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Speaker 1: Well, obviously that would be something that that this administration

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Speaker 1: would not go for. I mean, there might have been

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Speaker 1: past administrations that would have entertained that idea, so obviously

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Speaker 1: that that's that's a non starter for the current folks

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Speaker 1: in Washington, d C. But still, if you if you

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Speaker 1: just look at where we are as a country, and

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Speaker 1: you look at at what you just said, who are

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Speaker 1: our allies? Because it ain't going to be the United

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Speaker 1: States aided by Canada that's going to be going in

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Speaker 1: to fight all for all this stuff if we if

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Speaker 1: we want that. Now, if it's hockey, it might be

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Speaker 1: a different story, But this is geopolitical warfare. So I mean,

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Speaker 1: who's in this fight with us? And that does not

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Speaker 1: seem to be a fight that's winnable when you factor

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Speaker 1: in what China can do economically and what Russia could

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Speaker 1: do with a madman in charge of that country. Well,

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Speaker 1: where how do we play that game?

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Speaker 2: Well, this is the bigger challenge we have is that

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Speaker 2: we don't we don't have unified nation alliances. A lot

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Speaker 2: of this is party based, so a lot of the

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Speaker 2: left wing governments, the socialist governments of the Europe, socialist

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Speaker 2: parties of Canada, you know, maybe not the conservatives, but

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Speaker 2: the socialist sides, you know, they want that too. They

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Speaker 2: want to say, you know, America does its tariffs, America

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Speaker 2: does its uh, you know, it's trade policies. They want

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Speaker 2: things kind of claimed by the status quo. They want

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Speaker 2: global equity. Europe wants to be able to censor Americans.

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Speaker 2: They want to be able to suppress what we say

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Speaker 2: on the internet. They want to be able to tax

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Speaker 2: American high tech industries because they say we have.

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Speaker 3: A monopoly on it.

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Speaker 2: They view America as, you know, kind of a powerful city,

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Speaker 2: and they want equity. They want us to share the wealth,

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Speaker 2: which turns out we've been doing and a lot of

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Speaker 2: Americans weren't even where we were doing it. You know,

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Speaker 2: we subsidize their healthcare system, we pay for the military,

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Speaker 2: we do everything for them. That's global equity, and that's

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Speaker 2: what they want in terms of the global agreements, I mean,

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Speaker 2: the unports or the multipolar world order. It's the same

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Speaker 2: thing being said at the World Economic Forum meetings. It's

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Speaker 2: the same thing being said when a lot of these

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Speaker 2: leaders go and speak at the United Nations. A lot

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Speaker 2: of them are pushing for it. And you know, China's

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Speaker 2: even trying to do it too, even through the creation

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Speaker 2: of alternate economic systems. They were proposing a bricks currency

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Speaker 2: to overthrow the US dollar.

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Speaker 3: It is true.

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Speaker 2: Trump has been hitting back on them pretty hard against this.

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Speaker 2: Trump so that if anybody tries to overthrow the US dollar,

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Speaker 2: you're going to get one hundred percent sanctioned or sorry terriffs.

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Speaker 2: And so you know it's a battle right now, but

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Speaker 2: it's only going to take one leader to stop fighting

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Speaker 2: that battle for the other side to win.

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Speaker 1: Yeah, exactly. And you know it's funny listening to that

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Speaker 1: politics and geopolitics. The enemy could be from within. I mean,

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Speaker 1: there are a lot of people in this country that

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Speaker 1: are running for office or would like to entertain a

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Speaker 1: notion of running for office, that are socialists in their

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Speaker 1: behavior and believe that equity is the way to go

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Speaker 1: in the United States. So there's a battle that's being

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Speaker 1: fought outside of the borders of the United States, and

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Speaker 1: then there could be one politically being fought inside the

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Speaker 1: borders of the United States. And who knows what kind

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Speaker 1: of influenced Russia. I'm sorry, China may have. I just

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Speaker 1: had a guy on yesterday who is plugged into what's

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Speaker 1: going on with a lot of these Antifa riots and

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Speaker 1: said he had he had complete evidence that what's going

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Speaker 1: on in Portland is being funded by the Chinese and

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Speaker 1: the Chinese Communist government and that they're supplying them with

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Speaker 1: whatever weaponry. An organization that's being used by the people

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Speaker 1: that are on the streets in Portland right now. My

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Speaker 1: point in all of it, being Joshua, is that there

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Speaker 1: may be elements inside this country that are being in

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Speaker 1: influenced by this access that may also be a problem

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Speaker 1: for the United States when dealing with the outside forces.

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Speaker 1: I don't know if your investigation is taking you anywhere there,

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Speaker 1: but it certainly is a notion that I've had for

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Speaker 1: a while that the enemy from within may be worse

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Speaker 1: than the enemy from without any thoughts on that, it

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Speaker 1: is true.

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Speaker 2: It is one hundred percent true. So I've been working

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Speaker 2: on some stuff around this. So some of this goes

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Speaker 2: back to the Cold War. Some of it goes back

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Speaker 2: to organizations that were started as really like Soviet Front

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Speaker 2: organizations under the Common Tern. After the collapse of the

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Speaker 2: Soviet Union, a lot of those systems switched their allegiance

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Speaker 2: to the Chinese Communist Party.

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Speaker 4: So the CCP.

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Speaker 2: Became kind of the replacement of what Russia was, replacement

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Speaker 2: of the Communist International. Right, they just don't call it that.

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Speaker 2: Instead of calling it the Communist International or the Common Tern,

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Speaker 2: they call it the China model. They call it Chinese engagement,

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Speaker 2: they call it Chinese investment.

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Speaker 3: I'll give you a few examples.

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Speaker 2: We're aware now that this Neville Singh, this Indian guy

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Speaker 2: billionaire working out of China in Shanghai, is one of

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Speaker 2: the big funders behind a lot of the far left

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Speaker 2: of the United States. People are talking about him. That's

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Speaker 2: one of the big stories, but you have a lot

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Speaker 2: of other ones. The TIDES Foundation tied in with some

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Speaker 2: of that money, sorows money, other things. TIDES Foundation also

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Speaker 2: has a lot of influence over Wikipedia. TIDES Foundation has

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Speaker 2: investments with Google. Tides Foundation has involvement in a lot

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Speaker 2: of the protests. Some of the money for Antifa allegedly

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Speaker 2: is running through TIDES and that's kind of the way

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Speaker 2: that street goes. You know, BLLL Black Lives Matter. Their

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Speaker 2: donation page used to go to the Chinese Progressive Association,

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Speaker 2: a Chinese front organization, one of the bigger factions in

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Speaker 2: the United States running a lot of these operations, you know,

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Speaker 2: Democratic socialis America. Of course, they have some ties to China,

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Speaker 2: if you including some of the delegations actually just recently

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Speaker 2: doing engagements with China. You can talk about the Rainbow Coalition,

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Speaker 2: I nowist trained, i e. China trained organization that just puppeteers.

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Speaker 2: Tons of these movements and backs, a lot of politicians

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Speaker 2: engage in it. You know, the list goes on. You

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Speaker 2: have a you know, Freedom Road Socialists. A lot of

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Speaker 2: these organizations have deep ties to the Chinese Communist Party,

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Speaker 2: and a lot of these organizations are heavily involved in

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Speaker 2: the Chaos and American streets, on the agitation operations, within media.

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Speaker 2: Even some government officials part of these networks. And so

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Speaker 2: it is, it is concerning, it is inside the country

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Speaker 2: as well well.

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Speaker 1: I enjoy you on Crossroads and obviously your work with

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Speaker 1: the Epic Times, and this is this is a must

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Speaker 1: see deep dive into what's really going on with regards

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Speaker 1: to China and Venezuela and then of course with the

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Speaker 1: other players in this Iran in Russia. Joshua, every time

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Speaker 1: I have you on, I feel I'm more informed and

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Speaker 1: I feel smarter. I don't know if I am smarter,

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Speaker 1: but I feel smarter and that's a good feeling to have.

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Speaker 1: And until we talk again, you stay well, okay.

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Speaker 2: Always a pleasure.

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Speaker 3: Thank you you.

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Speaker 1: Bet Epic Times, Joshua, Philip. China is a very very

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Speaker 1: very big problem inside our country right now. Not to

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Speaker 1: say the least of what's going on with their involvement

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Speaker 1: with Venezuela. It is twelve twenty six. I am the

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Speaker 1: average American. This is seven hundred WLW com Porty, welcome back.

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Speaker 1: It's the average American in for the great American on

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Speaker 1: this Thursday. Still to come on the show on nailing

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Speaker 1: that big job interview, Nailing the big job interview. Who

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Speaker 1: doesn't want to do that? We'll get into that in

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Speaker 1: a little bit, among other things. The big story of

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Speaker 1: the day, of course, is the NBA betting scandal, yet

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Speaker 1: another one. There have been several in the history of

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Speaker 1: the NBA, and just a couple of years ago there

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Speaker 1: was a big betting scandal involving a Toronto Raptors player,

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Speaker 1: Johntay Porter, And of course there was the betting scandal

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Speaker 1: that involved an NBA referee about ten fifteen years ago.

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Speaker 1: And now today the FBI in a wide ranging arrest roundup,

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Speaker 1: complete with two indictments. They have arrested thirty four people,

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Speaker 1: two of whom are current NBA personalities. Let's just put

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Speaker 1: it that way, because Chauncey Billups is the head coach

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Speaker 1: of Portland. At least it was until last night. My

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Speaker 1: guess is he's not going to be the head coach

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Speaker 1: of Portland anymore. And the other guy of note was

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Speaker 1: Miami heat guard Terry Rogier, along with former Cleveland Cavalier

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Speaker 1: player and assistant coach Damon Jones. They're all involved in

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Speaker 1: one way or another with gambling schemes. Billips, again, the

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Speaker 1: coach of the Portland Trailblazers, was arrested in Portland. He

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Speaker 1: is charged with a separate indictment away from NBA Gambling

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Speaker 1: for allegedly being involved in a wide ranging scheme to

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Speaker 1: rig underground poker games back by four of the five

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Speaker 1: mafia families in the United States. And there was everything

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Speaker 1: that was going on with this particular scheme. There were

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Speaker 1: automatic card shufflers that were not, let's say up to

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Speaker 1: snuff that they were shuffling cards that were using these

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Speaker 1: card games that would benefit the house. There was even

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Speaker 1: an X ray table where from beneath the table, you

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Speaker 1: know how you lay your cards down, if you're on

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Speaker 1: a you're playing you're playing cards, where there was an

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Speaker 1: X ray machine that could look up and see what

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Speaker 1: the cards were on each particular hand. And not just

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Speaker 1: a couple of hands here a couple of hands there,

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Speaker 1: but every single hand, and there were people that were

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Speaker 1: being built out of tens of thousands of dollars per hand.

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Speaker 1: So that was Billips. Rosier was arrested this morning in

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Speaker 1: a hotel at Orlando, Florida. He's accused of participating in

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Speaker 1: an illegal sports betting scheme using private insider NBA information.

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Speaker 1: They lost their season opener to the Magic last night.

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Speaker 1: Rosier did not play due to a coach's decision. Sure

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Speaker 1: they knew this was coming, and it makes you wonder

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Speaker 1: why because both of these players, well the coach and

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Speaker 1: the player. But let's talk about Rosier. He's made one

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Speaker 1: hundred and thirty five million dollars in his NBA career

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Speaker 1: ten year NBA careers, made one hundred and thirty five

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Speaker 1: million dollars. How much could you possibly make by providing

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Speaker 1: inside information? He's making twenty five million dollars or was

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Speaker 1: supposed to playing this year for the Miami Heat and

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Speaker 1: Phillips who had seventeen years as an NBA player, five

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Speaker 1: time All Star, one hundred and seven million dollars total,

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Speaker 1: as they said he was the head coach of the

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Speaker 1: Portland Trailblazers. How much you're gonna make on a card game.

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Speaker 1: And it raises the question that if you're into gambling,

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Speaker 1: if you're one of those people that go on the

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Speaker 1: app and you're doing prop bets and all that, is

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Speaker 1: this safe haven to bet anymore? I mean, would you

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Speaker 1: go on and bet on an NBA game now knowing

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Speaker 1: that this stuff is going on? And I don't gamble

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Speaker 1: on NBA games. I don't watch NBA game. Most people

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Speaker 1: don't watch the NBA. I mean, I hate to dissillusion

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Speaker 1: sports talk hosts all around this country, but the average

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Speaker 1: regular season NBA game had an audience of one point

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Speaker 1: five million people last year, those for games on ABC, ESPN, TNT,

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Speaker 1: and that was down from the previous year million and

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Speaker 1: a half people watching a national NBA game. There are

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Speaker 1: three hundred and forty million people in this country. Million

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Speaker 1: and a half were watching gambling. Probably is what's keeping

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Speaker 1: the NBA afloat. Haven't heard from the Commissioner, Adam Silver

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Speaker 1: on this yet today, but I want to turn to

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Speaker 1: a guy that I have on my show on Sundays

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Speaker 1: with regards to the NFL, and Lee Sterling is someone

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Speaker 1: who knows, you know, how bets are made, and for

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Speaker 1: him to survive and for his business to flourish. He

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Speaker 1: has to know that the NBA is on the up

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Speaker 1: and up, because if it's not, nobody's going to bet

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Speaker 1: on the NBA. Let alone watch it. Lee Sterling, how

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Speaker 1: are you on this Thursday? Do we have Lee? I

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Speaker 1: think he's online? One? Do we have Lee? Okay?

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Speaker 4: Good? Lee?

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Speaker 1: How Aary?

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Speaker 4: Well?

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Speaker 5: I think what we're probably going to seek and is

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Speaker 5: we're going to see maybe limits cut down and they

403
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Speaker 5: can always track you.

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Speaker 3: I mean the big eye don't lie.

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Speaker 5: Just like any crime, you know, murder, any how do

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Speaker 5: they catch you your phone? You know, they track you

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Speaker 5: wherever you are, whatever bet you're making. As far as

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Speaker 5: as wagering, here is concerned.

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Speaker 4: And you know they catch people. It's it's it's.

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Speaker 5: Everything is electronic now, so you know they there. There's

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Speaker 5: always a trail and usually there's someone even if someone's

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Speaker 5: maybe making a wager for something for someone else, you know,

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Speaker 5: if they're face the jail time, they're going to usually

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Speaker 5: end up talking.

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Speaker 3: To the FED.

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Speaker 5: So the Fed, I think it's like a ninety eight

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Speaker 5: and a half ninety nine percent conviction rate. It's that

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Speaker 5: way for a reason. The deck is stacked against you.

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Speaker 5: So and if you are guilty, uh, it's not. You

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Speaker 5: know a number of people that are just going to

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Speaker 5: stand there and say, okay, I'll go to trial. Someone's

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Speaker 5: going to end up talking and they want the best

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Speaker 5: possible deal.

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Speaker 4: And then you know, if.

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Speaker 5: You're left, if you're the one that's left standing, you're

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Speaker 5: in trouble.

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Speaker 4: So it's just shocking to me. You know, I can.

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Speaker 5: I'm not saying it could, I agree with it, not

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Speaker 5: saying I totally understand. But a player, let's say, you

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Speaker 5: know who is just a fringe player and he gives

431
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Speaker 5: someone a tip, Okay, nothing, It's obviously not right, but

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Speaker 5: I can see it happening, you know, the greed part

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Speaker 5: of it. But someone like Chunty Billups, someone who made

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Speaker 5: multi multi.

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Speaker 4: Means is a head coach making a huge.

436
00:24:39,920 --> 00:24:44,320
Speaker 5: Salary, and then Terry Rose here making almost twenty five

437
00:24:44,520 --> 00:24:47,879
Speaker 5: million dollars per year, four year contract, almost one hundred

438
00:24:47,920 --> 00:24:48,720
Speaker 5: million dollars.

439
00:24:49,320 --> 00:24:50,680
Speaker 4: The fact that they would do.

440
00:24:50,600 --> 00:24:54,560
Speaker 5: This is just it it's almost it's almost unfathomable.

441
00:24:54,840 --> 00:24:57,920
Speaker 1: You know, it goes. Basketball to me has always been

442
00:24:58,119 --> 00:25:00,960
Speaker 1: the most susceptible to this kind of I mean, the

443
00:25:01,040 --> 00:25:02,879
Speaker 1: year before I was born, they had the big college

444
00:25:02,880 --> 00:25:06,520
Speaker 1: basketball point shaving scandal involved several New York City teams.

445
00:25:07,480 --> 00:25:10,480
Speaker 1: And then you know, you page ahead and you get

446
00:25:10,520 --> 00:25:13,280
Speaker 1: to that inside that that referee what was named Tim

447
00:25:13,320 --> 00:25:18,920
Speaker 1: Garritty fifteen twenty years ago, who was providing inside information

448
00:25:18,960 --> 00:25:23,240
Speaker 1: to gamblers. And here you have Rogier and Billups. I mean,

449
00:25:23,600 --> 00:25:25,879
Speaker 1: you know, Rogier plays right down where you are. He

450
00:25:25,880 --> 00:25:28,119
Speaker 1: plays for the Miami Heat. And you're right, both of

451
00:25:28,160 --> 00:25:31,000
Speaker 1: these guys have made an excess of one hundred million

452
00:25:31,040 --> 00:25:33,720
Speaker 1: dollars in their careers. So it must be the thrill

453
00:25:33,760 --> 00:25:35,679
Speaker 1: of it, right, it must be. Hey, I'm living on

454
00:25:35,720 --> 00:25:37,240
Speaker 1: the edge a little bit, you know, I'm going to

455
00:25:37,320 --> 00:25:39,680
Speaker 1: do this to amuse myself. Then it always goes back

456
00:25:39,720 --> 00:25:42,679
Speaker 1: to what I say, for a professional athlete, it's not

457
00:25:43,440 --> 00:25:45,760
Speaker 1: the time you're on the court, it's not the time

458
00:25:45,800 --> 00:25:47,879
Speaker 1: you're in practice. It's what you're doing the other twenty

459
00:25:47,880 --> 00:25:50,280
Speaker 1: one hours of the day. And obviously these guys said

460
00:25:50,280 --> 00:25:52,159
Speaker 1: some things going on, but I don't I think this

461
00:25:52,280 --> 00:25:54,000
Speaker 1: is the tip of it. And I really think that

462
00:25:54,040 --> 00:25:56,679
Speaker 1: they're probably going to be as this. As this goes on,

463
00:25:56,800 --> 00:25:59,119
Speaker 1: they're going to find more guys doing this. I just

464
00:25:59,240 --> 00:26:02,520
Speaker 1: firmly believe that basketball is the most susceptible of all

465
00:26:02,560 --> 00:26:03,200
Speaker 1: of these sports.

466
00:26:03,200 --> 00:26:06,320
Speaker 5: What do you think it is because there's only five

467
00:26:06,359 --> 00:26:08,919
Speaker 5: players on the court at one time. Football, if you

468
00:26:09,000 --> 00:26:11,640
Speaker 5: get the one player or baseball one player and baseball

469
00:26:11,760 --> 00:26:15,520
Speaker 5: is nine players. And obviously, you know, throwing the baseball

470
00:26:15,560 --> 00:26:18,000
Speaker 5: in the margin when you hit a baseball between a

471
00:26:18,040 --> 00:26:20,840
Speaker 5: home run and a foul ball is just so minute.

472
00:26:21,359 --> 00:26:24,920
Speaker 5: Football there's twenty two players on the field at one time,

473
00:26:25,000 --> 00:26:29,399
Speaker 5: so one player, unless you've got the quarterback, probably not

474
00:26:29,720 --> 00:26:32,400
Speaker 5: much of an edge. So that's why it's much easier.

475
00:26:32,880 --> 00:26:35,840
Speaker 5: You know, if they just followed my game, it'saw me playing,

476
00:26:35,840 --> 00:26:37,680
Speaker 5: they would think that I'm throwing it all the time.

477
00:26:37,760 --> 00:26:45,040
Speaker 5: So it's just it's a total stupidity on Terry Rosier's part.

478
00:26:45,080 --> 00:26:48,560
Speaker 5: And Chauncey Billups. I think maybe if I'm just making

479
00:26:48,720 --> 00:26:53,639
Speaker 5: a guess, Terry Rosier probably in his downtime does some things.

480
00:26:53,720 --> 00:26:55,679
Speaker 5: Maybe he's not going to be able to play tonight.

481
00:26:55,720 --> 00:26:58,600
Speaker 5: If he does, he doesn't see himself playing more than

482
00:26:58,640 --> 00:27:01,119
Speaker 5: five or ten minutes in the game. And some people

483
00:27:01,160 --> 00:27:03,639
Speaker 5: took advantage of it, I mean for him to gain

484
00:27:04,160 --> 00:27:06,959
Speaker 5: they only played I think something like thirteen thousand dollars

485
00:27:07,040 --> 00:27:09,040
Speaker 5: versus wagers. What are they going to give him three

486
00:27:09,160 --> 00:27:11,639
Speaker 5: five thousand dollars to split it? That's not going to

487
00:27:11,680 --> 00:27:14,719
Speaker 5: make any difference. The case of Chalky Billups, where he

488
00:27:14,840 --> 00:27:18,480
Speaker 5: was maybe involved with a Gambino family.

489
00:27:18,720 --> 00:27:20,320
Speaker 4: No, why, that's out.

490
00:27:20,280 --> 00:27:23,480
Speaker 1: Straight out of the Sopranos. That's straight out of the Sopranos.

491
00:27:24,640 --> 00:27:27,160
Speaker 1: I think this is and I don't know where it's

492
00:27:27,160 --> 00:27:29,639
Speaker 1: going only, but I think this is maybe going to

493
00:27:29,640 --> 00:27:32,520
Speaker 1: be an indictment of Adam Silver. Adam Silver, it seems

494
00:27:32,760 --> 00:27:35,120
Speaker 1: he was the first of the four commissioners to embrace

495
00:27:35,240 --> 00:27:39,119
Speaker 1: legalized gambling, and now he's had he's and that was

496
00:27:39,240 --> 00:27:41,720
Speaker 1: knowing the history he had with that referee Garrity, and

497
00:27:41,720 --> 00:27:45,080
Speaker 1: now this. If I'm an NBA owner, I'm looking at

498
00:27:45,119 --> 00:27:47,760
Speaker 1: this dude saying, wait a minute, this is just sullied

499
00:27:47,800 --> 00:27:50,840
Speaker 1: our entire league and you didn't know what was going on.

500
00:27:51,000 --> 00:27:52,720
Speaker 1: I think he may be in a little hot water

501
00:27:52,760 --> 00:27:54,240
Speaker 1: with his owners.

502
00:27:54,800 --> 00:27:58,040
Speaker 5: Yeah, Tim, donah, He's a totally different situation with an official.

503
00:27:58,080 --> 00:28:00,040
Speaker 4: But like I said, just shows.

504
00:27:59,720 --> 00:28:04,560
Speaker 5: You the different level players have a player involved. Here,

505
00:28:05,440 --> 00:28:10,000
Speaker 5: you have someone Chauntsey Billups involved with maybe rigging some

506
00:28:10,160 --> 00:28:15,959
Speaker 5: machines in another form of gambling. He obviously coached basketball,

507
00:28:16,000 --> 00:28:18,480
Speaker 5: but it doesn't seem like he was involved in fixing

508
00:28:18,560 --> 00:28:23,080
Speaker 5: basketball games. Tim Donnie was a basketball official. It looks

509
00:28:23,119 --> 00:28:25,399
Speaker 5: like you got in debt and the only way he

510
00:28:25,400 --> 00:28:29,440
Speaker 5: could really get out was he thought, was to supply information.

511
00:28:30,920 --> 00:28:33,800
Speaker 1: It's a mess, le Hey, look doesn't affect what you

512
00:28:33,840 --> 00:28:35,359
Speaker 1: and I are going to do on Sunday down at

513
00:28:35,359 --> 00:28:37,359
Speaker 1: the Holy Grail. But for your time today on this

514
00:28:37,400 --> 00:28:40,320
Speaker 1: breaking news, we appreciate it. Thank you, my friend, thanks

515
00:28:40,360 --> 00:28:44,280
Speaker 1: so much. A man, thank there. Yeah, yeah, I don't

516
00:28:44,320 --> 00:28:46,480
Speaker 1: mean Adam Silver is going to get indicted. I just

517
00:28:46,560 --> 00:28:50,280
Speaker 1: mean from his credibility and the leader of a leg

518
00:28:50,440 --> 00:28:54,600
Speaker 1: and now here we are again dealing with yet another

519
00:28:54,680 --> 00:28:57,960
Speaker 1: issue inside the leg. I know he wasn't the commissioner

520
00:28:58,080 --> 00:29:05,040
Speaker 1: when Donna he was the but that was David Stern.

521
00:29:06,000 --> 00:29:09,560
Speaker 1: But it is it's an indictment of his leadership that

522
00:29:09,600 --> 00:29:11,920
Speaker 1: this was going on and he didn't know. I mean,

523
00:29:12,000 --> 00:29:14,719
Speaker 1: it's I'm if I'm an owner in the NBA right now,

524
00:29:14,720 --> 00:29:16,719
Speaker 1: I'm saying, dude, what what are we doing here? I mean,

525
00:29:16,760 --> 00:29:19,920
Speaker 1: you have these two guys today and you had John

526
00:29:19,960 --> 00:29:22,720
Speaker 1: tay Porter before. Now the real problem is going to

527
00:29:22,760 --> 00:29:27,080
Speaker 1: be because this is how the FEDS work is if

528
00:29:27,400 --> 00:29:30,480
Speaker 1: they get Billups and Rougier in there today or tomorrow whenever,

529
00:29:30,600 --> 00:29:33,880
Speaker 1: and they and they flip and they start naming other names.

530
00:29:34,640 --> 00:29:36,360
Speaker 1: You may hear other names come out of this, but

531
00:29:36,480 --> 00:29:41,200
Speaker 1: this was thirty five people. Thirty four people. Phillips was

532
00:29:41,240 --> 00:29:43,880
Speaker 1: involved in a card game that involved one of the

533
00:29:43,920 --> 00:29:49,320
Speaker 1: four of the five major mafia families. Good lord, and

534
00:29:49,400 --> 00:29:53,760
Speaker 1: you had Billups, who you know, was providing gambling information

535
00:29:53,920 --> 00:29:59,960
Speaker 1: to illegal gamblers, and I'm you know, I'm sorry. I mean,

536
00:30:00,040 --> 00:30:06,000
Speaker 1: the NBA outside of League Cities is an acquired taste nationally.

537
00:30:07,320 --> 00:30:10,560
Speaker 1: The audience for these games is not great. I think

538
00:30:10,920 --> 00:30:15,360
Speaker 1: gambling kind of drives interest in the NBA unless you're

539
00:30:15,360 --> 00:30:18,360
Speaker 1: a season ticket holder and going to the games. So

540
00:30:18,400 --> 00:30:21,920
Speaker 1: they're in a tough spot and we've yet to hear

541
00:30:22,160 --> 00:30:27,160
Speaker 1: from the commissioner on this. He apparently popped up, I

542
00:30:27,280 --> 00:30:28,400
Speaker 1: want to make sure I get the show right.

543
00:30:28,480 --> 00:30:28,640
Speaker 4: Yeah.

544
00:30:28,640 --> 00:30:31,080
Speaker 1: He was on the Pat McAfee show tuesday and he

545
00:30:31,120 --> 00:30:34,120
Speaker 1: said the league has been working with its sportsbook partners

546
00:30:34,720 --> 00:30:39,080
Speaker 1: to combat attempts at manipulation, so he probably knew that

547
00:30:39,120 --> 00:30:44,760
Speaker 1: this was coming down, but so far, no reaction in

548
00:30:44,800 --> 00:30:49,600
Speaker 1: the wake of this sweeping FBI pickup. Today, of thirty

549
00:30:49,640 --> 00:30:52,760
Speaker 1: four people, it is twelve fifty three. It is the

550
00:30:52,800 --> 00:30:55,440
Speaker 1: average American in for the Great American News Radio seven

551
00:30:55,520 --> 00:31:02,440
Speaker 1: hundred WYLW. So it's inflation any better today than what

552
00:31:02,520 --> 00:31:06,560
Speaker 1: it was a year ago. A year ago we were

553
00:31:06,560 --> 00:31:10,520
Speaker 1: gearing up for the election Donald Trump against Kamala Harris,

554
00:31:10,560 --> 00:31:13,080
Speaker 1: and inflation was a big deal. Now we got tariffs

555
00:31:13,120 --> 00:31:16,280
Speaker 1: to worry about. And you know, when you start talking

556
00:31:16,280 --> 00:31:18,480
Speaker 1: about tariffs, people's eyes were on the back of their head.

557
00:31:18,480 --> 00:31:20,880
Speaker 1: Oh my gosh, it's money. It's fun, but no, you

558
00:31:21,040 --> 00:31:24,720
Speaker 1: feel it when you go to buy goods, when you

559
00:31:24,760 --> 00:31:27,360
Speaker 1: go to go buy services. I mean, price of coffee

560
00:31:27,400 --> 00:31:30,320
Speaker 1: is through the roof, and a lot of it is

561
00:31:30,360 --> 00:31:33,040
Speaker 1: about to get worse if indeed these tariffs go through

562
00:31:33,400 --> 00:31:38,840
Speaker 1: what the President is suggesting for China on November first.

563
00:31:39,280 --> 00:31:41,720
Speaker 1: Already we've seen a choke back on things that he's

564
00:31:41,760 --> 00:31:45,080
Speaker 1: sending to China, like jet engines and some tech stuff.

565
00:31:45,120 --> 00:31:47,920
Speaker 1: But coming back the other way, it may make things

566
00:31:47,920 --> 00:31:50,600
Speaker 1: a little tight come the holiday season. So what does

567
00:31:50,640 --> 00:31:52,440
Speaker 1: it really mean when you hear tariffs? What does it

568
00:31:52,480 --> 00:31:54,360
Speaker 1: mean to you and me and everybody else walking around

569
00:31:54,440 --> 00:31:58,080
Speaker 1: the street in Cincinnati, and not just something you'd find

570
00:31:58,160 --> 00:32:01,400
Speaker 1: on CNBC or Fox, pisness or whatever. We'll get into

571
00:32:01,400 --> 00:32:04,640
Speaker 1: that and then down the road if you've got a

572
00:32:04,720 --> 00:32:07,280
Speaker 1: job interview coming up, or you think you may how

573
00:32:07,280 --> 00:32:09,760
Speaker 1: to nail it, I mean really nail it and get

574
00:32:09,800 --> 00:32:13,560
Speaker 1: the gig. All of that and much more, Yes, sir,

575
00:32:13,680 --> 00:32:16,560
Speaker 1: between or man between now and three o'clock, seven hundred

576
00:32:16,640 --> 00:32:24,720
Speaker 1: WDLW hey hey one ten News radios two one hundred

577
00:32:24,840 --> 00:32:28,360
Speaker 1: WLW the average American for the great American on this Thursday.

578
00:32:29,520 --> 00:32:32,960
Speaker 1: Great to have you with us. I don't say that capriciously,

579
00:32:33,120 --> 00:32:35,280
Speaker 1: for without you, what would I be? I would be

580
00:32:35,520 --> 00:32:39,720
Speaker 1: simply one man sitting in a room by himself, babbling incoherently.

581
00:32:40,560 --> 00:32:42,400
Speaker 1: And why would I have to leave home to do that?

582
00:32:44,400 --> 00:32:51,240
Speaker 1: So the the NBA reeling today thirty four indictments, some

583
00:32:51,440 --> 00:32:55,800
Speaker 1: involving an illegal card game scheme that was run by

584
00:32:56,000 --> 00:32:59,920
Speaker 1: four of the five major mafia families that caught Chauncey Bill,

585
00:33:00,760 --> 00:33:05,880
Speaker 1: the Portland coach. So he was arrested today in Portland.

586
00:33:06,160 --> 00:33:11,880
Speaker 1: And then there was a I suppose inside information that

587
00:33:12,080 --> 00:33:15,680
Speaker 1: was being translated to or transported to in some way

588
00:33:15,800 --> 00:33:23,280
Speaker 1: to organize gamblers by allegedly by Terry Rogier, who plays

589
00:33:23,280 --> 00:33:26,840
Speaker 1: for the Miami Heat, and he was arrested again today.

590
00:33:27,480 --> 00:33:31,000
Speaker 1: I mean, this was so big that it went down

591
00:33:31,040 --> 00:33:33,760
Speaker 1: in New York and they got cash Pattel out of Washington,

592
00:33:33,840 --> 00:33:35,880
Speaker 1: d C. And all the stuff that he's dealing with

593
00:33:36,000 --> 00:33:38,960
Speaker 1: right now to come up and lend his two cents

594
00:33:39,000 --> 00:33:39,280
Speaker 1: to it.

595
00:33:39,440 --> 00:33:43,200
Speaker 6: As you now know, individuals such as Chauncey Billups, Damon Jones,

596
00:33:43,760 --> 00:33:47,200
Speaker 6: and Terry Rozier were taken into custody today former current

597
00:33:47,400 --> 00:33:52,000
Speaker 6: NBA players and coaches. What you don't know is that

598
00:33:52,280 --> 00:33:55,720
Speaker 6: this is an illegal gambling operation and sports rigging operation

599
00:33:55,840 --> 00:33:58,480
Speaker 6: that spanned the course of years. The FBI led a

600
00:33:58,520 --> 00:34:03,080
Speaker 6: coordinative takedown US eleven states to arrest over thirty individuals

601
00:34:03,120 --> 00:34:06,400
Speaker 6: today responsible for this case, which is very much ongoing.

602
00:34:07,040 --> 00:34:11,000
Speaker 1: I think, and this is just me. I think they're

603
00:34:11,000 --> 00:34:14,239
Speaker 1: going to get Billips and Rogier to flip. I think

604
00:34:14,280 --> 00:34:16,319
Speaker 1: you're going to hear other people's names coming under this

605
00:34:16,400 --> 00:34:19,160
Speaker 1: thing tip of the ice. But that's that's how it works, right,

606
00:34:19,200 --> 00:34:21,239
Speaker 1: You get, you get the people in. You know that

607
00:34:21,320 --> 00:34:26,560
Speaker 1: you got, and believe me, the FBI ninety seven ninety

608
00:34:26,600 --> 00:34:28,919
Speaker 1: six percent of the time. They got you. Once. Once

609
00:34:28,960 --> 00:34:31,600
Speaker 1: you're arrested and you're part of an indictment, they got you.

610
00:34:33,040 --> 00:34:35,600
Speaker 1: But maybe they'll go easy on you for whatever prison

611
00:34:35,640 --> 00:34:37,400
Speaker 1: sentence you're going to do. If you flip and you

612
00:34:37,480 --> 00:34:42,000
Speaker 1: name somebody else, I would stand by for that. So

613
00:34:42,120 --> 00:34:45,960
Speaker 1: Donald Trump is he's in this urinating contest with the

614
00:34:46,000 --> 00:34:51,759
Speaker 1: communist Chinese, with the Xijingping, and tariffs are what is

615
00:34:52,400 --> 00:34:56,160
Speaker 1: at stake here because the President believes, I think rightfully so,

616
00:34:56,280 --> 00:34:59,600
Speaker 1: that the Chinese government has been ripping off the United

617
00:34:59,640 --> 00:35:03,600
Speaker 1: States for decades, and so he wants a better deal

618
00:35:04,160 --> 00:35:07,520
Speaker 1: and a fairer deal, and so he is imposing tariffs

619
00:35:07,880 --> 00:35:13,640
Speaker 1: on Chinese imports fifty seven percent, so China restricted exports

620
00:35:13,719 --> 00:35:17,960
Speaker 1: of rare earth minerals that are key to electronics, among

621
00:35:18,040 --> 00:35:21,560
Speaker 1: other things. And now the President has threatened to raise

622
00:35:21,600 --> 00:35:24,680
Speaker 1: tariffs to one hundred and fifty seven percent if no

623
00:35:24,760 --> 00:35:28,880
Speaker 1: trade deal is reached by November first, next week. So

624
00:35:29,000 --> 00:35:31,080
Speaker 1: this sounds like it's all a bunch of you know,

625
00:35:31,320 --> 00:35:35,879
Speaker 1: high stakes chest beating. I'm gonna get you, You're gonna

626
00:35:35,920 --> 00:35:37,480
Speaker 1: get me. But what does it mean to you and me?

627
00:35:39,200 --> 00:35:39,279
Speaker 4: Now?

628
00:35:39,360 --> 00:35:42,560
Speaker 1: What does it mean to you and me walking around

629
00:35:42,560 --> 00:35:44,800
Speaker 1: the street, just trying to make a goal that trying

630
00:35:44,800 --> 00:35:47,200
Speaker 1: to buy things at the grocery store, fill or tanks

631
00:35:47,280 --> 00:35:49,880
Speaker 1: up with gas, make sure the kids have clothes, make

632
00:35:49,920 --> 00:35:52,080
Speaker 1: sure the mortgage gets paid. What do these tariffs mean

633
00:35:52,160 --> 00:35:52,480
Speaker 1: to us?

634
00:35:53,640 --> 00:35:53,879
Speaker 4: Why?

635
00:35:55,200 --> 00:35:58,960
Speaker 1: How is this going to affect our lives? Standing via

636
00:35:59,080 --> 00:36:02,480
Speaker 1: somebody that probably knows better than the most Dominic, Mezzarindino

637
00:36:02,600 --> 00:36:06,320
Speaker 1: has been at the forefront of not just social media,

638
00:36:06,480 --> 00:36:10,600
Speaker 1: but interaction, business to business and how things that occur

639
00:36:10,840 --> 00:36:16,040
Speaker 1: at the national and international level affect you and me

640
00:36:16,360 --> 00:36:19,120
Speaker 1: in real life. He has been on my show many

641
00:36:19,120 --> 00:36:21,800
Speaker 1: times before. He has been the CEO of many companies,

642
00:36:22,520 --> 00:36:24,680
Speaker 1: and he now runs a business to business company we'll

643
00:36:24,680 --> 00:36:26,160
Speaker 1: tell you about here in just a little bit. But

644
00:36:26,200 --> 00:36:27,759
Speaker 1: I wanted to get him on today because I think

645
00:36:27,840 --> 00:36:30,520
Speaker 1: this is something you're going to be hearing a lot

646
00:36:30,560 --> 00:36:33,800
Speaker 1: about between now and this deadline on November the first,

647
00:36:33,840 --> 00:36:38,720
Speaker 1: and Dominic, how are you on this glorious Thursday doing well?

648
00:36:38,760 --> 00:36:39,439
Speaker 4: How are you doing?

649
00:36:39,480 --> 00:36:39,920
Speaker 3: My friend?

650
00:36:40,000 --> 00:36:40,160
Speaker 7: Well?

651
00:36:40,160 --> 00:36:43,080
Speaker 1: I haven't been affected yet by the tariffs, and in

652
00:36:43,120 --> 00:36:45,680
Speaker 1: any way, shape or form, I think, like most things

653
00:36:45,719 --> 00:36:48,600
Speaker 1: in life, I eventually will be. But let's just talk

654
00:36:48,600 --> 00:36:50,560
Speaker 1: about you know, you, me and everybody else that is

655
00:36:50,600 --> 00:36:54,560
Speaker 1: just walking around on the street. If indeed the November

656
00:36:54,719 --> 00:36:56,839
Speaker 1: deadline comes and goes, and that's just about a week

657
00:36:56,880 --> 00:37:00,640
Speaker 1: away and these tariffs are placed in effect, what does

658
00:37:00,640 --> 00:37:03,440
Speaker 1: that mean for the consumer? What does that mean for us,

659
00:37:03,480 --> 00:37:04,400
Speaker 1: just the regular folk?

660
00:37:05,680 --> 00:37:08,000
Speaker 7: You know, I think you said something pretty critical when

661
00:37:08,040 --> 00:37:11,560
Speaker 7: you said not necessarily affecting. I think in a way

662
00:37:12,280 --> 00:37:15,120
Speaker 7: it's being affected, but almost like that a slow Chinese

663
00:37:15,160 --> 00:37:15,759
Speaker 7: torture trip.

664
00:37:15,800 --> 00:37:16,640
Speaker 3: In terms of the water.

665
00:37:17,520 --> 00:37:21,600
Speaker 7: You know, our prices are not necessarily going down.

666
00:37:21,840 --> 00:37:23,920
Speaker 3: Coffee is higher than it was.

667
00:37:24,400 --> 00:37:27,319
Speaker 7: We don't make coffee in this country, so it is

668
00:37:27,520 --> 00:37:32,279
Speaker 7: directly taroff affected as one example, and I think it's

669
00:37:32,360 --> 00:37:37,400
Speaker 7: that tangents that affects you. Another example is Kentucky bourbon.

670
00:37:37,880 --> 00:37:40,880
Speaker 7: They were shipping to Canada. Canada don't like Kentucky bourbon.

671
00:37:41,520 --> 00:37:46,359
Speaker 7: That's bad. So now you're getting that tangential effect when

672
00:37:46,360 --> 00:37:47,520
Speaker 7: the market says.

673
00:37:48,280 --> 00:37:49,359
Speaker 4: I have friends out of work.

674
00:37:50,040 --> 00:37:52,080
Speaker 7: So I think we are seeing it, but almost like

675
00:37:52,120 --> 00:37:55,560
Speaker 7: that slow and on the side effect, And it's going

676
00:37:55,560 --> 00:37:59,160
Speaker 7: to probably get louder the more we have situations such

677
00:37:59,200 --> 00:38:02,360
Speaker 7: as you know, the beef coming up situation.

678
00:38:02,480 --> 00:38:03,640
Speaker 3: That's a big deal right now.

679
00:38:03,719 --> 00:38:06,120
Speaker 1: Yeah, yeah. Trump wants to go outside the country and

680
00:38:06,120 --> 00:38:09,080
Speaker 1: bring in beef from Australia or someplace. And of course

681
00:38:09,120 --> 00:38:12,840
Speaker 1: the beef industry, particularly those states in the United States

682
00:38:12,840 --> 00:38:16,200
Speaker 1: out west, you know, the cattle country, Oklahoma, Nebraska, Kansas,

683
00:38:16,239 --> 00:38:19,960
Speaker 1: wherever it may be. Not only are the people out

684
00:38:20,000 --> 00:38:22,319
Speaker 1: there not happy about that prospect, but also a lot

685
00:38:22,320 --> 00:38:24,799
Speaker 1: of the GOP senators are. But I think what he's

686
00:38:24,840 --> 00:38:27,279
Speaker 1: trying to do is threat a needle here dominic. Look

687
00:38:27,440 --> 00:38:30,560
Speaker 1: when he came into office, inflation was crazy. It went

688
00:38:30,680 --> 00:38:34,799
Speaker 1: up during the Bide administration. It was infinitely more expensive

689
00:38:34,840 --> 00:38:36,759
Speaker 1: to live then than it is now. So I think

690
00:38:36,800 --> 00:38:38,799
Speaker 1: Trump had had a decision to make. Am I going

691
00:38:38,800 --> 00:38:41,960
Speaker 1: to raise taxes, which no Republican wants to do? Or

692
00:38:42,000 --> 00:38:44,240
Speaker 1: am I going to play the tariff game. He's elected

693
00:38:44,239 --> 00:38:46,200
Speaker 1: to play the tariff game. I didn't see any other

694
00:38:46,239 --> 00:38:48,759
Speaker 1: game he could play if he wanted to get prices down.

695
00:38:48,800 --> 00:38:53,279
Speaker 7: To you, I think it's a tough you know, I'm

696
00:38:53,320 --> 00:38:55,040
Speaker 7: trying to think of the best way of.

697
00:38:56,520 --> 00:39:00,920
Speaker 3: Hitting it. Parents are not down, sorry, is not down.

698
00:39:01,000 --> 00:39:04,360
Speaker 7: It's steady, which is still higher than history. If you

699
00:39:04,400 --> 00:39:08,640
Speaker 7: look at I'm looking at BLS dot Gov but I

700
00:39:08,640 --> 00:39:12,920
Speaker 7: think the challenge on the tariffs becomes when you're tariffing

701
00:39:12,960 --> 00:39:16,800
Speaker 7: things such as coffee. Well, the purpose of the tariff

702
00:39:17,440 --> 00:39:20,640
Speaker 7: tax the local tax consumer. It goes to the federal

703
00:39:20,680 --> 00:39:23,920
Speaker 7: budget and gets the consumer to buy more American goods.

704
00:39:24,440 --> 00:39:25,840
Speaker 3: But I'm pointing to coffee because you.

705
00:39:25,840 --> 00:39:26,359
Speaker 4: Can't do it.

706
00:39:26,760 --> 00:39:31,280
Speaker 3: There is no American coffee. It don't exist. Or seasonal items.

707
00:39:31,360 --> 00:39:35,360
Speaker 7: I mean, god forbid, we have a situation where corn

708
00:39:35,480 --> 00:39:39,600
Speaker 7: has a blight. Has it happened in history? Yeah, the

709
00:39:39,719 --> 00:39:43,880
Speaker 7: diversity of products is the protection. So it's a card

710
00:39:43,960 --> 00:39:46,600
Speaker 7: to be played, but I'm not sure and don't feel

711
00:39:46,840 --> 00:39:49,759
Speaker 7: high confidence. It's the card I want to play at

712
00:39:49,800 --> 00:39:53,760
Speaker 7: times when I just want my morning coffee without drama.

713
00:39:53,880 --> 00:39:58,319
Speaker 1: Well, Trump has got fifty terrifying Chinese imports. There's some

714
00:39:58,520 --> 00:40:00,400
Speaker 1: people that are saying I could go as is two

715
00:40:00,520 --> 00:40:03,960
Speaker 1: hundred percent. The President is saying this week he's going

716
00:40:04,000 --> 00:40:06,960
Speaker 1: to have a fantastic deal done with China by this

717
00:40:07,080 --> 00:40:10,280
Speaker 1: November first deadline. I mean, we've heard the president issue

718
00:40:10,320 --> 00:40:13,560
Speaker 1: deadlines and then deadlines come and go and nothing happens.

719
00:40:13,560 --> 00:40:16,160
Speaker 1: I mean, it's just it's just the way of his world.

720
00:40:16,280 --> 00:40:19,440
Speaker 1: But the fact of the matter is if you know

721
00:40:19,520 --> 00:40:22,880
Speaker 1: that this is a problem, and I know that this

722
00:40:23,040 --> 00:40:25,360
Speaker 1: is a problem, one would have to think that the

723
00:40:25,400 --> 00:40:29,160
Speaker 1: people that are inside the Beltway in Washington, particularly those

724
00:40:29,239 --> 00:40:31,880
Speaker 1: inside the White House, have to know it's a problem.

725
00:40:32,000 --> 00:40:35,720
Speaker 1: So how does he get out of this without really

726
00:40:37,160 --> 00:40:41,759
Speaker 1: damaging our own economic base, our GDP? How does he

727
00:40:41,800 --> 00:40:43,920
Speaker 1: get out of it and not look weak to the

728
00:40:44,000 --> 00:40:46,640
Speaker 1: Chinese that.

729
00:40:46,560 --> 00:40:48,640
Speaker 7: Is trying to hit it because I think you know,

730
00:40:48,719 --> 00:40:51,160
Speaker 7: first of all, when we're talking to tariffs, we're discussing

731
00:40:51,239 --> 00:40:54,879
Speaker 7: a machine with thousands of gears.

732
00:40:55,160 --> 00:40:59,520
Speaker 3: So one other example with the China Chinese tariffs.

733
00:41:00,040 --> 00:41:02,920
Speaker 7: Ends of mine in Canada who are happily ordering that

734
00:41:03,000 --> 00:41:05,960
Speaker 7: eight hundred dollars limit and they're ordering products right at

735
00:41:05,960 --> 00:41:09,040
Speaker 7: their house. They're laughing saying I can't you guys can't order,

736
00:41:09,080 --> 00:41:12,160
Speaker 7: but we can, you know. And I think you have

737
00:41:12,200 --> 00:41:20,960
Speaker 7: social media, high communication, people seeing you know, your friends

738
00:41:21,000 --> 00:41:24,840
Speaker 7: online ordering this and this, and you know, look what's happening.

739
00:41:24,880 --> 00:41:26,560
Speaker 7: Is a great example when you mentioned the beef, I

740
00:41:26,560 --> 00:41:28,799
Speaker 7: think it relates to China. When that person is hit.

741
00:41:29,480 --> 00:41:32,160
Speaker 7: You have people who are voting for Trump, nice Ranch

742
00:41:32,160 --> 00:41:35,319
Speaker 7: in Montana, they're hit, Well, they're not going to be

743
00:41:35,320 --> 00:41:40,320
Speaker 7: happy anymore people with China, with trade Paris and China

744
00:41:40,360 --> 00:41:44,600
Speaker 7: who are used to ordering that two dollars phone case. Yeah, yeah,

745
00:41:44,800 --> 00:41:46,920
Speaker 7: you know that's a concern.

746
00:41:47,160 --> 00:41:50,479
Speaker 1: Yeah yeah, And and and it doesn't even get into

747
00:41:50,480 --> 00:41:53,120
Speaker 1: the other aspects of dealing with Choanaman. They're they're not

748
00:41:53,440 --> 00:41:57,600
Speaker 1: just a competitor on the international trade market there, they're

749
00:41:57,600 --> 00:42:00,800
Speaker 1: also a military power and they It's been no secret

750
00:42:00,880 --> 00:42:03,160
Speaker 1: that a lot of people, a lot of Chinese nationals

751
00:42:03,280 --> 00:42:05,720
Speaker 1: entered this country over the course of the last four years.

752
00:42:06,080 --> 00:42:10,080
Speaker 1: So there's that sub sub almost like that subdivision working

753
00:42:10,200 --> 00:42:12,839
Speaker 1: over and above what may be going on economically. When

754
00:42:12,880 --> 00:42:15,759
Speaker 1: you're dealing with China. It's never one level, is it.

755
00:42:17,200 --> 00:42:22,080
Speaker 7: When you're dealing with any of this, it's never one level.

756
00:42:22,440 --> 00:42:25,719
Speaker 7: It's you know, you're discussing a great example, the fentanyl

757
00:42:25,719 --> 00:42:28,480
Speaker 7: and the tariffs that started this, all right, you know,

758
00:42:28,760 --> 00:42:30,840
Speaker 7: and we're tiraffing this country due defensean al But the

759
00:42:30,920 --> 00:42:34,160
Speaker 7: me tirafhing is to this and it's really the question

760
00:42:34,280 --> 00:42:38,600
Speaker 7: figuring out that net some gain. Part of what I

761
00:42:38,760 --> 00:42:42,440
Speaker 7: look at every day is all right, so we're adding

762
00:42:42,440 --> 00:42:45,319
Speaker 7: a tiiff to Canada as an example to reduce that

763
00:42:45,960 --> 00:42:47,040
Speaker 7: twenty four pounds defence.

764
00:42:47,160 --> 00:42:48,120
Speaker 3: All that came through.

765
00:42:48,560 --> 00:42:51,239
Speaker 7: But in the process, how many people in the bourbon

766
00:42:51,280 --> 00:42:54,240
Speaker 7: industry have lost jobs? Could we have used that money

767
00:42:54,239 --> 00:42:56,080
Speaker 7: for five extra border guards at that point?

768
00:42:56,360 --> 00:42:56,600
Speaker 1: Yeah?

769
00:42:56,680 --> 00:42:56,840
Speaker 5: You know.

770
00:42:57,080 --> 00:43:00,840
Speaker 7: And I'm not saying right nor wrong, des I'm saying

771
00:43:01,719 --> 00:43:04,840
Speaker 7: I can't calculate that. God bless the guy who thinks

772
00:43:04,880 --> 00:43:08,680
Speaker 7: they can. Yeah, do you know what happens now? If

773
00:43:08,680 --> 00:43:11,560
Speaker 7: the Montana guys start going out of business?

774
00:43:12,120 --> 00:43:13,480
Speaker 3: Sure, I'm concerned.

775
00:43:13,600 --> 00:43:16,399
Speaker 7: What happened Argentina starts importing the beef and then our

776
00:43:16,440 --> 00:43:18,320
Speaker 7: beef industry gets a little bit of a hit because

777
00:43:18,320 --> 00:43:19,120
Speaker 7: it isn't it.

778
00:43:19,239 --> 00:43:19,479
Speaker 4: Yeah?

779
00:43:19,760 --> 00:43:23,240
Speaker 3: Yeah, dude, I'm saying one.

780
00:43:23,120 --> 00:43:27,360
Speaker 7: Hits the other and it becomes a cascating effect.

781
00:43:27,480 --> 00:43:29,399
Speaker 3: But I think for years it is necessarily a good one.

782
00:43:29,440 --> 00:43:31,319
Speaker 1: But I think for years, Dominic we you know, these

783
00:43:31,360 --> 00:43:35,400
Speaker 1: these companies have have Trump says, ripped off. I'll use

784
00:43:35,239 --> 00:43:39,040
Speaker 1: the term. These these countries have benefited from a very

785
00:43:39,160 --> 00:43:43,040
Speaker 1: unfair trade advantage with the United States. We paid more

786
00:43:43,080 --> 00:43:45,279
Speaker 1: for their goods than they would pay for ours, if

787
00:43:45,280 --> 00:43:48,480
Speaker 1: indeed they would they would ever, would they even allow

788
00:43:48,520 --> 00:43:50,920
Speaker 1: those goods into our country? Look at the look at

789
00:43:50,920 --> 00:43:56,000
Speaker 1: the automobile industry, my gosh, for forty years, Japanese imports

790
00:43:56,560 --> 00:44:00,160
Speaker 1: where skyrocking sales of Toyotas and Nissans and whatnot. But

791
00:44:00,520 --> 00:44:03,120
Speaker 1: on the other side, the Japanese weren't all that interested

792
00:44:03,200 --> 00:44:06,520
Speaker 1: in buying our cars in the United States, if indeed

793
00:44:06,520 --> 00:44:08,880
Speaker 1: it was even allowed by their government. So I mean,

794
00:44:08,920 --> 00:44:11,080
Speaker 1: I think he's got a point that there's got to

795
00:44:11,120 --> 00:44:13,359
Speaker 1: be some sort of balance, and I think he's using

796
00:44:13,400 --> 00:44:16,959
Speaker 1: the specter of inflation and curbing inflation and money back

797
00:44:17,000 --> 00:44:20,759
Speaker 1: to the American public with all of these tariffs that

798
00:44:20,800 --> 00:44:21,480
Speaker 1: he's announcing.

799
00:44:22,719 --> 00:44:25,080
Speaker 7: You, I think you're spot on, because you know, when.

800
00:44:25,000 --> 00:44:27,000
Speaker 3: You mentioned the Japanese autos is a great example.

801
00:44:27,680 --> 00:44:30,759
Speaker 7: No matter how much you tear Japan, I will bet

802
00:44:30,800 --> 00:44:33,440
Speaker 7: you they will not buy more cars.

803
00:44:33,160 --> 00:44:33,920
Speaker 4: No matter what you do.

804
00:44:34,719 --> 00:44:37,719
Speaker 7: Not big, cause we're producing bad cars nor good They

805
00:44:37,760 --> 00:44:42,480
Speaker 7: don't fit on the road. Tokyo. The cars ended the

806
00:44:42,520 --> 00:44:46,319
Speaker 7: size of a hummer. We produce big cars for a

807
00:44:46,360 --> 00:44:48,120
Speaker 7: population that don't want big cars.

808
00:44:48,200 --> 00:44:50,640
Speaker 1: Yeah, And I think buying large. I think buy and large.

809
00:44:50,760 --> 00:44:53,880
Speaker 1: And this is not to cast an over arching umbrella,

810
00:44:53,920 --> 00:44:57,000
Speaker 1: but I think in the United States we revere the

811
00:44:57,040 --> 00:45:01,080
Speaker 1: automobile more than most countries out out there. Most countries

812
00:45:01,120 --> 00:45:03,520
Speaker 1: look at the automobile is just to get from point

813
00:45:03,560 --> 00:45:06,279
Speaker 1: A to point B. We as a society look at

814
00:45:06,320 --> 00:45:07,959
Speaker 1: it as some sort of luxury point.

815
00:45:09,600 --> 00:45:12,600
Speaker 7: I agree. I also will add to the mix. I

816
00:45:12,640 --> 00:45:16,920
Speaker 7: think when you're using all these factors, all these examples,

817
00:45:17,480 --> 00:45:21,000
Speaker 7: one of the things that strikes me is just how

818
00:45:21,080 --> 00:45:24,799
Speaker 7: intertwined you're great hit spot on we're never gonna tell

819
00:45:24,880 --> 00:45:27,799
Speaker 7: more cars to Japan, but also we loved the automobile.

820
00:45:28,680 --> 00:45:30,920
Speaker 7: Is it bad that we're getting in Japanese cars or

821
00:45:31,040 --> 00:45:34,640
Speaker 7: is it good because it's making our manufacturers say we

822
00:45:34,719 --> 00:45:37,080
Speaker 7: better make a chief of car. They're just doing a

823
00:45:37,120 --> 00:45:41,680
Speaker 7: great job and it lights a fire. So I you know,

824
00:45:41,719 --> 00:45:44,280
Speaker 7: I am much more personally the advocate that free trade

825
00:45:44,320 --> 00:45:44,760
Speaker 7: is great.

826
00:45:45,640 --> 00:45:48,840
Speaker 3: But I think my overall theme is you're talking about

827
00:45:48,880 --> 00:45:54,399
Speaker 3: complex issues breaking them down into simple in terms of

828
00:45:54,640 --> 00:45:57,960
Speaker 3: you know, this is crazy with Argentina, this is crazy

829
00:45:58,000 --> 00:45:59,080
Speaker 3: with this, this is crazy.

830
00:45:58,800 --> 00:46:01,400
Speaker 4: With that, and all the memes.

831
00:46:01,480 --> 00:46:02,640
Speaker 3: We're in a mean world.

832
00:46:03,280 --> 00:46:06,440
Speaker 7: Yeah, but I don't think you can calculate the net result.

833
00:46:06,840 --> 00:46:08,400
Speaker 3: Of all these moving pieces.

834
00:46:08,520 --> 00:46:12,359
Speaker 7: Yeah on reaction, Yeah, it's not going to necessarily get

835
00:46:12,440 --> 00:46:13,400
Speaker 7: us where we want to be.

836
00:46:13,760 --> 00:46:16,759
Speaker 1: Right now, Well, well, the big thing is we'll see

837
00:46:16,800 --> 00:46:20,560
Speaker 1: we're chatted with Dominic Dominic Meserindino x, CEO of retail

838
00:46:20,560 --> 00:46:25,080
Speaker 1: wire dot com, current CEO of rtmnexus dot com. And

839
00:46:25,120 --> 00:46:26,839
Speaker 1: I mean, this guy has been ahead of the curve

840
00:46:26,920 --> 00:46:29,640
Speaker 1: on everything with regard to social media internet media for

841
00:46:29,680 --> 00:46:34,680
Speaker 1: over thirty years. Okay, So my gut tells me that

842
00:46:34,760 --> 00:46:37,320
Speaker 1: November one is going to come and go and nothing

843
00:46:37,360 --> 00:46:39,440
Speaker 1: really is going to change. It just seems to be

844
00:46:39,480 --> 00:46:42,080
Speaker 1: the trend here. My also, my other gut tells me

845
00:46:42,600 --> 00:46:45,120
Speaker 1: that this is the big one. You know, he gets

846
00:46:45,120 --> 00:46:47,919
Speaker 1: it done with China, and you know all the other

847
00:46:47,960 --> 00:46:51,160
Speaker 1: little gnats that he's done businesses with kind of like

848
00:46:51,280 --> 00:46:54,319
Speaker 1: fly off the map, you know, the smaller countries. I

849
00:46:54,360 --> 00:46:57,440
Speaker 1: think China and to a lesser extent but still significant,

850
00:46:57,480 --> 00:47:00,640
Speaker 1: India are probably the two big ones he's got left

851
00:47:00,680 --> 00:47:03,960
Speaker 1: with these tariffs. And then that's it. What do you

852
00:47:04,120 --> 00:47:07,520
Speaker 1: sense happens on November one, if anything, and what do

853
00:47:07,560 --> 00:47:11,480
Speaker 1: you sense will happen when and have he and she

854
00:47:11,800 --> 00:47:14,040
Speaker 1: sit down for a face to face meeting on all

855
00:47:14,080 --> 00:47:14,319
Speaker 1: of this.

856
00:47:15,880 --> 00:47:19,160
Speaker 7: My current current concern is that I think we're playing

857
00:47:19,200 --> 00:47:21,000
Speaker 7: a little bit uh.

858
00:47:21,560 --> 00:47:22,200
Speaker 3: Game of chicken.

859
00:47:22,800 --> 00:47:26,080
Speaker 7: We're playing a game of Chicken with a beast, because

860
00:47:26,440 --> 00:47:30,839
Speaker 7: right now, for one example, as a predictor, Canada saw

861
00:47:30,880 --> 00:47:32,799
Speaker 7: these turfs and county went, okay, I'll try to go

862
00:47:32,800 --> 00:47:36,000
Speaker 7: with other countries, thank you very much. China is sort

863
00:47:36,040 --> 00:47:38,759
Speaker 7: of doing that now. They are having major investments, for

864
00:47:38,800 --> 00:47:43,359
Speaker 7: example in Africa. We're not touching it as pronounced as

865
00:47:43,400 --> 00:47:47,600
Speaker 7: they are, and you're seeing those infrastructure moves. So I

866
00:47:47,800 --> 00:47:52,279
Speaker 7: worry that you don't play chicken between two mac trucks.

867
00:47:52,680 --> 00:47:56,880
Speaker 7: Someone's going to get hurt. Maybe there's a way of

868
00:47:57,000 --> 00:48:00,600
Speaker 7: navigating that I am not prepared enough to say, and

869
00:48:00,680 --> 00:48:01,840
Speaker 7: that's I will take.

870
00:48:01,680 --> 00:48:02,480
Speaker 4: That right away them.

871
00:48:02,480 --> 00:48:04,600
Speaker 7: Maybe this way I don't see it, and that's okay,

872
00:48:05,360 --> 00:48:09,000
Speaker 7: But I am concerned. November second, all these pieces playing,

873
00:48:09,000 --> 00:48:11,959
Speaker 7: we're not going to see right now that maybe China

874
00:48:12,000 --> 00:48:16,960
Speaker 7: starts heavily trading with this in this partner and they

875
00:48:17,040 --> 00:48:18,560
Speaker 7: just look at us like, what's happening now?

876
00:48:18,880 --> 00:48:24,080
Speaker 3: You're reading about soybean is a great example. Soybeans farmers

877
00:48:24,080 --> 00:48:27,200
Speaker 3: are saying, we're not selling soybeans to China as much anymore.

878
00:48:27,320 --> 00:48:31,920
Speaker 7: They don't they're buying nail and they're just happily saying,

879
00:48:31,960 --> 00:48:34,799
Speaker 7: no worries, I got this and our poor farmers are

880
00:48:34,840 --> 00:48:35,920
Speaker 7: throwing the crop on the ground.

881
00:48:36,239 --> 00:48:39,319
Speaker 3: Well, not necessarily a great move now, No, all.

882
00:48:39,280 --> 00:48:41,840
Speaker 1: Right, Dominic, good stuff as always.

883
00:48:41,920 --> 00:48:43,680
Speaker 3: My friend, thank you so much for calling me.

884
00:48:43,760 --> 00:48:46,480
Speaker 1: You stay well and you know we will call again.

885
00:48:46,560 --> 00:48:49,680
Speaker 3: Thanks amazing, we'll talk too, and hopefully love the wording.

886
00:48:49,800 --> 00:48:51,919
Speaker 1: Yeah, I love the word amazing, Thank you, sir.

887
00:48:53,040 --> 00:48:53,160
Speaker 7: Uh.

888
00:48:53,600 --> 00:48:58,600
Speaker 1: The rare earth restrictions China, I mean, this is this

889
00:48:58,680 --> 00:49:01,719
Speaker 1: is just retaliatory. You know what's going to happen. We

890
00:49:01,800 --> 00:49:04,000
Speaker 1: just talked about it. They're going to get together. There's

891
00:49:04,040 --> 00:49:06,719
Speaker 1: going to be something they're gonna punt whatever was going

892
00:49:06,760 --> 00:49:10,360
Speaker 1: to happen November. First down the road. My guess is

893
00:49:10,400 --> 00:49:13,440
Speaker 1: that Trump and and She meet face to face and

894
00:49:13,480 --> 00:49:17,520
Speaker 1: they come away with something of framework and everything settles down.

895
00:49:17,600 --> 00:49:21,080
Speaker 1: But yeah, I mean, it's a giant, urinating contest between

896
00:49:21,120 --> 00:49:23,560
Speaker 1: these two countries, and I'm not sure who's winning right now.

897
00:49:24,600 --> 00:49:27,799
Speaker 1: If you put that in juxtaposition to what we talked

898
00:49:27,840 --> 00:49:31,680
Speaker 1: about at noon, in that twelve to twelve thirty hour

899
00:49:31,760 --> 00:49:36,000
Speaker 1: about China. Now with Russia and with Iran and Venezuela,

900
00:49:36,600 --> 00:49:39,160
Speaker 1: it may be that there's more at stake than just

901
00:49:39,200 --> 00:49:42,120
Speaker 1: a one on one between China and the United States. Well,

902
00:49:42,120 --> 00:49:43,840
Speaker 1: what does that mean to you and me? It sounds

903
00:49:43,880 --> 00:49:47,279
Speaker 1: like we're going to be paying more for stuff that

904
00:49:47,440 --> 00:49:49,560
Speaker 1: never changes, does It doesn't matter who's in office, we

905
00:49:49,600 --> 00:49:53,799
Speaker 1: always seem to pay more for stuff one twenty seven

906
00:49:53,840 --> 00:49:56,359
Speaker 1: The average American in for the great American. I hope

907
00:49:56,400 --> 00:49:58,120
Speaker 1: it's a good Thursday for you. It is for me

908
00:49:58,160 --> 00:50:01,360
Speaker 1: because I get to spended with you on seven hundred

909
00:50:01,440 --> 00:50:02,560
Speaker 1: w wel w.

910
00:50:02,800 --> 00:50:05,360
Speaker 3: There he is. I mean old Faithful.

911
00:50:05,520 --> 00:50:08,840
Speaker 1: We called him old Faithful, not old Yellow. Shooting it

912
00:50:08,880 --> 00:50:13,640
Speaker 1: off at shooting it off, that's right.

913
00:50:17,120 --> 00:50:22,279
Speaker 3: Oh, hello, hello, bye, I'm broadcasting.

914
00:50:25,960 --> 00:50:28,120
Speaker 1: Seg I'm sitting here. Where are you? You're supposed to

915
00:50:28,120 --> 00:50:28,719
Speaker 1: be in here with me?

916
00:50:30,280 --> 00:50:36,120
Speaker 4: Can brew? I am sitting in the antido where I'm

917
00:50:36,120 --> 00:50:38,080
Speaker 4: feeling like Jim Nance today.

918
00:50:38,640 --> 00:50:40,799
Speaker 1: Okay, you sound like you're coming in from Mars, but

919
00:50:41,280 --> 00:50:42,360
Speaker 1: you're at a golf tournament.

920
00:50:43,600 --> 00:50:49,799
Speaker 4: Well it's the seven hundred WLW. iHeartMedia. Bengals sponsors at

921
00:50:49,840 --> 00:50:51,160
Speaker 4: golf outing today.

922
00:50:51,080 --> 00:50:52,920
Speaker 1: Yet another thing I wasn't invited to.

923
00:50:54,840 --> 00:50:56,840
Speaker 4: Well, yeah, I guess you got to be a Bengal sponsor.

924
00:50:57,640 --> 00:51:03,600
Speaker 1: Well, I sponsored angles my voice you with the voice

925
00:51:03,640 --> 00:51:06,439
Speaker 1: of the Bengals at one time, moving life to left

926
00:51:06,440 --> 00:51:07,920
Speaker 1: to right across your radio dial.

927
00:51:08,800 --> 00:51:09,920
Speaker 4: There you go right there.

928
00:51:10,040 --> 00:51:12,200
Speaker 1: Yeah, what golf course are you at? I'm sorry because

929
00:51:12,200 --> 00:51:14,000
Speaker 1: it kind of muffled there. What are you at? Work out?

930
00:51:14,040 --> 00:51:14,719
Speaker 1: What call course?

931
00:51:17,840 --> 00:51:18,280
Speaker 3: Oh?

932
00:51:18,600 --> 00:51:20,280
Speaker 1: Yeah, I played that. That's a good course.

933
00:51:21,320 --> 00:51:24,040
Speaker 4: There is beautiful today, a little windy, little chilly, but

934
00:51:24,920 --> 00:51:27,040
Speaker 4: everybody's having a good time, all.

935
00:51:27,040 --> 00:51:30,520
Speaker 1: Right, seg Well, Uh, since you're here, Uh, could you

936
00:51:30,560 --> 00:51:32,640
Speaker 1: bring us up to data on what is transpiring in

937
00:51:32,680 --> 00:51:35,800
Speaker 1: the world of sports besides NBA players getting indicted?

938
00:51:37,280 --> 00:51:39,880
Speaker 4: Yes, ken Brew. The Stooge Report is a proud service

939
00:51:39,920 --> 00:51:44,480
Speaker 4: of your local Temestar Eating and air conditioning dealers Tamestar.

940
00:51:44,800 --> 00:51:47,160
Speaker 4: Well if you could feel a beautiful Western hills right

941
00:51:47,239 --> 00:51:50,120
Speaker 4: around here called Derbot Heating and Cooling at five one

942
00:51:50,239 --> 00:51:55,400
Speaker 4: three forty nine, or go to Dervit Heating and Cooling

943
00:51:55,880 --> 00:52:01,000
Speaker 4: dot com spot. I think need to get the heat on.

944
00:52:02,080 --> 00:52:07,360
Speaker 4: It's getting cold. Let's see ken Brew. The Bengals Not

945
00:52:07,520 --> 00:52:09,560
Speaker 4: Day brought to you by Good Spirits and Party Town

946
00:52:09,600 --> 00:52:13,520
Speaker 4: with thirteen convenian locations in northern Kentucky. Bengals and Jets

947
00:52:13,520 --> 00:52:16,800
Speaker 4: of course on Sunday, preview it all tonight on the

948
00:52:16,840 --> 00:52:21,360
Speaker 4: Cincinnati Tacked Resolution powered by Toe Brown Table Show presented

949
00:52:21,440 --> 00:52:24,839
Speaker 4: to Long that'll be live from Long Necks and rich

950
00:52:24,880 --> 00:52:28,319
Speaker 4: Wood at six oh five here on seven hundred WLW.

951
00:52:28,800 --> 00:52:32,239
Speaker 4: How about this Ken Brew Former Bengals quarterback Ken Anderson,

952
00:52:32,840 --> 00:52:37,040
Speaker 4: along with Isaac Curtis and Leifamamar Parrish, are now a

953
00:52:37,080 --> 00:52:42,319
Speaker 4: step closer to the Pro Football Hall of Fame. All three,

954
00:52:43,080 --> 00:52:47,000
Speaker 4: all three have, all three have are one of thirty

955
00:52:47,000 --> 00:52:50,000
Speaker 4: four players now in the Hall of Fame Blue Ribbon

956
00:52:50,040 --> 00:52:53,319
Speaker 4: Committee that are still in the running for enshrinement.

957
00:52:53,440 --> 00:52:56,320
Speaker 1: In the Canton Well well, he Ken Anderson should be

958
00:52:56,360 --> 00:52:58,080
Speaker 1: in the Hall of Fame. There shouldn't be a Hall

959
00:52:58,080 --> 00:53:00,200
Speaker 1: of Fame with that ka being in it and of

960
00:53:00,200 --> 00:53:01,480
Speaker 1: the story that is correct.

961
00:53:01,880 --> 00:53:05,120
Speaker 4: Of course, the big story and the big story in

962
00:53:05,200 --> 00:53:10,920
Speaker 4: sports today is the scandal involving the National Basketball Association

963
00:53:11,640 --> 00:53:15,879
Speaker 4: where Portland Trail Plazers coach Chauncey Phillips Miami Heat guard

964
00:53:16,000 --> 00:53:19,719
Speaker 4: Terry Rosier were arrested this morning as part of an

965
00:53:19,840 --> 00:53:24,960
Speaker 4: investigation and related to illegal gambling. Also was arrested today

966
00:53:25,080 --> 00:53:30,200
Speaker 4: former Cleveland Cavaliers player and assistant coach Damon Jones. And

967
00:53:31,040 --> 00:53:34,920
Speaker 4: that is what what what they're accused of doing. I

968
00:53:34,960 --> 00:53:37,319
Speaker 4: don't think they're going to be seeing a basketball court

969
00:53:37,320 --> 00:53:41,400
Speaker 4: anytime soon with jail cell around it.

970
00:53:41,680 --> 00:53:43,680
Speaker 1: Well, you're gonna get some guys. They're gonna flip and

971
00:53:43,680 --> 00:53:45,320
Speaker 1: they're going to give some other names. That's what I

972
00:53:45,360 --> 00:53:47,040
Speaker 1: think is gonna happen. They're gonna flip me, get.

973
00:53:47,000 --> 00:53:47,600
Speaker 3: Some other names.

974
00:53:48,640 --> 00:53:50,799
Speaker 4: I think you're right about that. And then let's see

975
00:53:50,840 --> 00:53:55,799
Speaker 4: soccer news. Evander from Cincinnati one of three players up

976
00:53:55,840 --> 00:54:01,040
Speaker 4: for the MLS MVP Award. Nick Haglan is up for

977
00:54:01,160 --> 00:54:04,000
Speaker 4: Comeback Player of the Year. But this is an outrage.

978
00:54:04,160 --> 00:54:08,120
Speaker 4: Ken Brew Pat Noonan not up for Coach of the Year.

979
00:54:09,880 --> 00:54:14,399
Speaker 4: Maybe three of a. Philadelphia, Vancouver and San Diego their

980
00:54:14,440 --> 00:54:18,200
Speaker 4: coaches are up for the prestigious honor, but not Pat Noonan.

981
00:54:18,280 --> 00:54:19,440
Speaker 4: That to me as an outrage.

982
00:54:20,480 --> 00:54:23,200
Speaker 1: Well, you know, I don't know. I mean, I could

983
00:54:23,239 --> 00:54:25,719
Speaker 1: see where he wouldn't be. I'm not sure he would

984
00:54:25,719 --> 00:54:27,120
Speaker 1: win it if he was up for it. I mean,

985
00:54:27,160 --> 00:54:29,719
Speaker 1: there's just other teams that just did better this year,

986
00:54:30,640 --> 00:54:34,799
Speaker 1: not the least of which are you know the team

987
00:54:34,880 --> 00:54:39,279
Speaker 1: that won the Supporter Shield Philadelphia did better. Yep, yeah,

988
00:54:39,960 --> 00:54:42,920
Speaker 1: and you saw that MESSI signed a contract extension today, right,

989
00:54:43,080 --> 00:54:46,080
Speaker 1: Messi signed a contract extension with Inner Miami till through

990
00:54:46,120 --> 00:54:46,919
Speaker 1: twenty twenty eight.

991
00:54:47,960 --> 00:54:50,919
Speaker 4: Yeah, three year deal for Lionel Messi. So they keep

992
00:54:50,960 --> 00:54:53,920
Speaker 4: one of soccer's biggest names right here in the good

993
00:54:53,920 --> 00:54:57,160
Speaker 4: old usf A for the four seal future seg.

994
00:54:58,920 --> 00:55:01,200
Speaker 1: Do you know what happened fifty years ago tonight?

995
00:55:03,840 --> 00:55:07,000
Speaker 4: I think it was the Reds winning the World Series?

996
00:55:07,080 --> 00:55:08,600
Speaker 4: Was it in Boston? Now?

997
00:55:08,920 --> 00:55:12,520
Speaker 1: Fifty years ago tonight? Listen up fifty years ago tonight.

998
00:55:12,360 --> 00:55:14,960
Speaker 7: Lines in the overtime.

999
00:55:16,560 --> 00:55:18,439
Speaker 8: McDonald McDonald throws it back on the point.

1000
00:55:18,640 --> 00:55:20,960
Speaker 4: Ben couldn't keep that in nik Fenn for Jack.

1001
00:55:21,000 --> 00:55:23,960
Speaker 5: That comes back to the doky over skidded Ryan McDonald now.

1002
00:55:23,960 --> 00:55:28,480
Speaker 1: In finn fifty years ago tonight, SEG. The Cincinnati Stingers

1003
00:55:28,600 --> 00:55:32,000
Speaker 1: played their first ever home game at Riverfront Coliseum.

1004
00:55:33,200 --> 00:55:36,120
Speaker 4: Yeah, how about that, can Brew? How could I miss that?

1005
00:55:36,480 --> 00:55:39,080
Speaker 4: And they did? They played the Indianapolis Racers.

1006
00:55:39,080 --> 00:55:42,120
Speaker 1: They played played Edmonton. They played the Oilers. A little

1007
00:55:42,200 --> 00:55:44,520
Speaker 1: Andy Mack there, a little Andy Mack played by play.

1008
00:55:44,360 --> 00:55:47,520
Speaker 4: There I new Andy Max sounded great. He was always

1009
00:55:47,600 --> 00:55:49,160
Speaker 4: a great hockey amount there and been.

1010
00:55:49,160 --> 00:55:53,279
Speaker 1: Back fifty years ago tonight after playing four straight on

1011
00:55:53,400 --> 00:55:56,680
Speaker 1: the road. They came home to play the Edmonton Oilers,

1012
00:55:57,719 --> 00:56:03,640
Speaker 1: and do you know seg who voice was inside Riverfront Coliseum.

1013
00:56:05,920 --> 00:56:10,040
Speaker 4: I think that's the musical genius of seven hundred WLW.

1014
00:56:10,239 --> 00:56:12,520
Speaker 4: That would be Kenneth brew Day.

1015
00:56:12,640 --> 00:56:14,719
Speaker 1: So this is what I this is, This is the

1016
00:56:14,800 --> 00:56:17,160
Speaker 1: story from fifty years ago Tonight'd say. Of course they

1017
00:56:17,239 --> 00:56:19,520
Speaker 1: come on the ice and I opened the microphone. I say,

1018
00:56:20,000 --> 00:56:22,520
Speaker 1: here come the stars, and they lead them out. I

1019
00:56:22,600 --> 00:56:26,560
Speaker 1: think it was no man. Lapointe was the goaltender. He

1020
00:56:26,760 --> 00:56:29,560
Speaker 1: leads him out, leads him out, and there's circling around

1021
00:56:29,600 --> 00:56:34,000
Speaker 1: the ice. Well, the PR guy for the Stingers gave

1022
00:56:34,120 --> 00:56:36,840
Speaker 1: me a list of fifty groups I was supposed to

1023
00:56:36,960 --> 00:56:41,239
Speaker 1: welcome that night, fifty groups, and I was told I

1024
00:56:41,440 --> 00:56:45,280
Speaker 1: was told, don't start introducing these groups until the players

1025
00:56:45,360 --> 00:56:47,600
Speaker 1: hit the ice for the warm up. So I'm going

1026
00:56:47,840 --> 00:56:50,800
Speaker 1: and we want to welcome, you know, the Old Timers

1027
00:56:50,920 --> 00:56:53,160
Speaker 1: Club from Westchester, and of course we also want to

1028
00:56:53,200 --> 00:56:57,440
Speaker 1: welcome the Women's Day Center from you know, from Erlanger.

1029
00:56:57,440 --> 00:57:00,720
Speaker 1: And I'm going through. I get about twenty twenty twenty

1030
00:57:01,000 --> 00:57:04,279
Speaker 1: of the fifty end and the referee guy named Bill

1031
00:57:04,400 --> 00:57:08,200
Speaker 1: Friday comes skating up to him leans down me and

1032
00:57:08,320 --> 00:57:13,000
Speaker 1: he says to me, hey, hey, this ain't Toledo, Ohio.

1033
00:57:13,680 --> 00:57:15,600
Speaker 1: Shut up. We're getting ready to play.

1034
00:57:17,320 --> 00:57:18,640
Speaker 4: Wow. And that's it.

1035
00:57:18,800 --> 00:57:23,200
Speaker 1: So they dropped the puck and uh and they're calling

1036
00:57:23,320 --> 00:57:25,600
Speaker 1: down from like the press pot. Why is just saying

1037
00:57:25,600 --> 00:57:27,440
Speaker 1: the rest of the names. I said, because the referee

1038
00:57:27,520 --> 00:57:29,880
Speaker 1: just told me to shut up. It ain't Toledo, Ohio.

1039
00:57:31,240 --> 00:57:34,200
Speaker 4: I swear to god he was a lucidary referee, Bill

1040
00:57:34,280 --> 00:57:37,080
Speaker 4: Friday can Brew and you know, I mean, what was

1041
00:57:37,120 --> 00:57:39,280
Speaker 4: he gonna do? So he had a penalty box or something.

1042
00:57:39,640 --> 00:57:41,400
Speaker 1: I don't know. I could have gotten a delayed game

1043
00:57:41,480 --> 00:57:45,640
Speaker 1: penalty for the franchise. But it was fifty years ago tonight,

1044
00:57:45,840 --> 00:57:49,080
Speaker 1: the first home game of the now late and momented

1045
00:57:49,560 --> 00:57:53,960
Speaker 1: Cincinnati Stingers, the likes of Dale Smidsmo and Ron Plumb,

1046
00:57:54,680 --> 00:58:03,080
Speaker 1: Bernie Chuck Sab Chuck claub Larrose, Jacques lo cop Here, Geeta.

1047
00:58:04,200 --> 00:58:04,480
Speaker 4: Great.

1048
00:58:06,240 --> 00:58:07,720
Speaker 1: I don't know if he was on that team.

1049
00:58:08,160 --> 00:58:11,960
Speaker 4: I know number seven, he was number seven, well not

1050
00:58:12,680 --> 00:58:16,440
Speaker 4: not yeah, he came later, but numbers later on. I

1051
00:58:16,520 --> 00:58:18,760
Speaker 4: think he was. I think he started his career with

1052
00:58:18,880 --> 00:58:20,160
Speaker 4: the Nordeas.

1053
00:58:20,160 --> 00:58:23,400
Speaker 1: Seven years fifty years ago tonight, number seven was Brian

1054
00:58:23,640 --> 00:58:28,479
Speaker 1: Soupy Campbell. Oh boy, I'm looking at the media guide

1055
00:58:28,520 --> 00:58:30,520
Speaker 1: right here. I kept the media guide that that they

1056
00:58:30,600 --> 00:58:33,880
Speaker 1: had there, and they had they had Frank Beaton as

1057
00:58:33,960 --> 00:58:36,800
Speaker 1: one of their up and coming stars. And the picture

1058
00:58:36,800 --> 00:58:39,080
Speaker 1: of him that they have, he's got a black eye.

1059
00:58:41,960 --> 00:58:46,080
Speaker 4: It's buffy there you go, you know, I mean, that's yea.

1060
00:58:46,360 --> 00:58:47,720
Speaker 4: I should have known that, ken Brew.

1061
00:58:47,800 --> 00:58:48,200
Speaker 7: I love that.

1062
00:58:48,760 --> 00:58:49,720
Speaker 4: I love the Stingers.

1063
00:58:49,760 --> 00:58:51,760
Speaker 1: Boy, they were great fifty years ago.

1064
00:58:51,880 --> 00:58:57,560
Speaker 6: Tonight in the overtime, Ducie McDonald McDonald's throws it back

1065
00:58:57,600 --> 00:58:59,840
Speaker 6: on the point, couldn't keep that ink fent?

1066
00:59:00,080 --> 00:59:00,480
Speaker 4: What jack?

1067
00:59:00,520 --> 00:59:02,480
Speaker 5: It comes back to the st.

1068
00:59:05,200 --> 00:59:06,160
Speaker 4: Checked away by Afro.

1069
00:59:06,480 --> 00:59:10,920
Speaker 1: That's what was broadcast on seven hundred wyl W. How

1070
00:59:10,960 --> 00:59:11,280
Speaker 1: about that?

1071
00:59:11,440 --> 00:59:14,040
Speaker 4: And I remember I remember going down there a few

1072
00:59:14,120 --> 00:59:16,760
Speaker 4: times to ken Brew when they were in business that

1073
00:59:17,720 --> 00:59:22,320
Speaker 4: teams would actually change cities, uh like after at the

1074
00:59:22,400 --> 00:59:24,880
Speaker 4: institute and they would still they would still wear their

1075
00:59:24,920 --> 00:59:29,280
Speaker 4: old jerseys, but the team moved to another to another city.

1076
00:59:29,360 --> 00:59:32,640
Speaker 1: Right, the Denver Spurs became the Ottawa Civics. At like

1077
00:59:32,760 --> 00:59:35,320
Speaker 1: three o'clock in the afternoon and they're still skating around

1078
00:59:35,360 --> 00:59:40,600
Speaker 1: with the Denver Spurs. Y'all was unbelievable stuff. Well I

1079
00:59:40,680 --> 00:59:43,160
Speaker 1: want you. I'll talk to you in a little bit

1080
00:59:43,280 --> 00:59:45,680
Speaker 1: here from wherever you're at. But tell everybody out there

1081
00:59:45,760 --> 00:59:46,360
Speaker 1: we said.

1082
00:59:46,120 --> 00:59:49,840
Speaker 4: Hey, you got it, ken Brew and uh. In honor

1083
00:59:49,880 --> 00:59:52,200
Speaker 4: of a beautiful day here in the Tri State, we

1084
00:59:52,400 --> 00:59:54,320
Speaker 4: leave you with the immortal words of the.

1085
00:59:54,480 --> 01:00:00,760
Speaker 7: Stude behind the Campbell Campbell reaching for the a far quarter.

1086
01:00:02,200 --> 01:00:03,040
Speaker 4: The stores.

1087
01:00:05,800 --> 01:00:09,080
Speaker 1: Andy Mack did it by himself. No color commentator did

1088
01:00:09,120 --> 01:00:12,200
Speaker 1: it by himself. All right, seg we'll talk to you

1089
01:00:12,200 --> 01:00:14,680
Speaker 1: in an hour. It's one fifty one News Radio, seven

1090
01:00:14,840 --> 01:00:29,840
Speaker 1: hundred w l W Show eight on this Thursday, and

1091
01:00:30,520 --> 01:00:33,320
Speaker 1: good afternoon. It's the average American in for the great American.

1092
01:00:34,200 --> 01:00:36,880
Speaker 1: Glad you are with us. We're here right till three

1093
01:00:36,920 --> 01:00:40,400
Speaker 1: o'clock today, and then I believe Rocky is back. You'll

1094
01:00:40,520 --> 01:00:43,120
Speaker 1: join Eddie and all things will be normal on seven

1095
01:00:43,200 --> 01:00:47,360
Speaker 1: hundred WLW. There is there is data that is out there.

1096
01:00:47,440 --> 01:00:50,520
Speaker 1: In fact, there was a report that came out maybe

1097
01:00:50,920 --> 01:00:54,600
Speaker 1: two three weeks ago Fletch Jobs twenty twenty five State

1098
01:00:54,680 --> 01:00:59,240
Speaker 1: of the Workforce Report, and it basically said that half

1099
01:00:59,280 --> 01:01:03,120
Speaker 1: of us forty eight percent, we'll be looking for a

1100
01:01:03,200 --> 01:01:07,640
Speaker 1: new job in twenty twenty six and that seventy six

1101
01:01:08,120 --> 01:01:10,560
Speaker 1: percent of us who will be looking for a new job.

1102
01:01:10,880 --> 01:01:13,920
Speaker 1: Seventy six percent of us will be looking for a

1103
01:01:13,960 --> 01:01:17,600
Speaker 1: new job because they simply don't want to work in

1104
01:01:17,720 --> 01:01:21,960
Speaker 1: a business environment five days a week. Prefer to work

1105
01:01:22,080 --> 01:01:24,120
Speaker 1: in some way, shape or form at home. And as

1106
01:01:24,320 --> 01:01:26,840
Speaker 1: we know, many companies are saying, eh, you know, we

1107
01:01:28,080 --> 01:01:31,440
Speaker 1: got this mortgage on this building and we want to

1108
01:01:31,560 --> 01:01:33,400
Speaker 1: use it, and so you need to come here and

1109
01:01:33,520 --> 01:01:37,560
Speaker 1: work for us here, not necessarily at home. And with

1110
01:01:37,720 --> 01:01:39,880
Speaker 1: some folks it's not going over very well. The bottom

1111
01:01:39,960 --> 01:01:41,800
Speaker 1: line is a lot of people are going to be

1112
01:01:41,960 --> 01:01:45,760
Speaker 1: looking for a new job, and it's tough out there.

1113
01:01:46,640 --> 01:01:48,240
Speaker 1: There are a lot of jobs that are listed that

1114
01:01:48,400 --> 01:01:52,160
Speaker 1: simply aren't open. Companies list them for various reasons, maybe

1115
01:01:52,240 --> 01:01:55,160
Speaker 1: for EOE or maybe just to say, hey, we have

1116
01:01:55,280 --> 01:01:58,280
Speaker 1: this opening, and then they'll graze to see what candidates

1117
01:01:58,320 --> 01:02:01,800
Speaker 1: are out there when and if they have to hire somebody,

1118
01:02:01,960 --> 01:02:05,000
Speaker 1: not if they want to hire somebody. So there are

1119
01:02:05,000 --> 01:02:07,640
Speaker 1: a lot of candidates for jobs that are actually open.

1120
01:02:07,840 --> 01:02:10,800
Speaker 1: So invariably you're going to do an interview if you

1121
01:02:10,920 --> 01:02:13,880
Speaker 1: apply for a new job. First interview might be a

1122
01:02:13,960 --> 01:02:16,600
Speaker 1: telephone interview or a zoom interview, and if you're lucky,

1123
01:02:16,680 --> 01:02:20,280
Speaker 1: maybe you'll get face to FaceTime inside the business itself.

1124
01:02:20,840 --> 01:02:24,080
Speaker 1: And then you're on the spot, because now you've got

1125
01:02:24,160 --> 01:02:28,320
Speaker 1: to sell yourself and you've got to tell perspective employers

1126
01:02:28,400 --> 01:02:31,920
Speaker 1: exactly what you can do, and it better be concise

1127
01:02:32,400 --> 01:02:33,840
Speaker 1: and clear and to the point.

1128
01:02:35,120 --> 01:02:35,560
Speaker 4: What do you do?

1129
01:02:36,400 --> 01:02:38,560
Speaker 1: Well, maybe, if you're smart, you turn to somebody that

1130
01:02:38,720 --> 01:02:42,560
Speaker 1: knows all about these things. Let's do that. Let's turn

1131
01:02:42,640 --> 01:02:46,800
Speaker 1: to career coach Laura Brown, who's co authored a new book,

1132
01:02:47,000 --> 01:02:52,760
Speaker 1: Interview Speak What your Interviewer Really wants to Know, and

1133
01:02:53,400 --> 01:02:56,960
Speaker 1: she's also besides that new book, you can find her

1134
01:02:56,960 --> 01:03:00,960
Speaker 1: at Careercoffee break dot com. I love that career coffee bok. Anyway,

1135
01:03:01,080 --> 01:03:04,120
Speaker 1: Laura Brown, Welcome to seven hundred WYLW. How are you

1136
01:03:04,280 --> 01:03:05,600
Speaker 1: on this glorious Thursday.

1137
01:03:06,560 --> 01:03:09,080
Speaker 9: I am great. Thank you so much for having me today.

1138
01:03:09,480 --> 01:03:11,680
Speaker 1: I'm glad you're here because you know, I've gone through

1139
01:03:11,720 --> 01:03:13,800
Speaker 1: the interview process a lot in my life. Not so

1140
01:03:13,960 --> 01:03:15,760
Speaker 1: much anymore, you know, I'm kind of like at the

1141
01:03:15,880 --> 01:03:18,200
Speaker 1: end of the rope here. But the fact of the

1142
01:03:18,240 --> 01:03:21,120
Speaker 1: matter is that during my time I was on the

1143
01:03:21,200 --> 01:03:24,200
Speaker 1: spot and I would get called in after an audition

1144
01:03:24,320 --> 01:03:26,840
Speaker 1: tape was seting people like what I saw, what they saw,

1145
01:03:27,040 --> 01:03:30,200
Speaker 1: or in case of radio, what they heard. And it's

1146
01:03:30,280 --> 01:03:33,560
Speaker 1: not not an unpleasant experience, but it's an experience. You

1147
01:03:33,760 --> 01:03:37,200
Speaker 1: better be prepared for. Nothing worse than going into an

1148
01:03:37,320 --> 01:03:40,880
Speaker 1: interview without being prepared for what you want to say

1149
01:03:41,240 --> 01:03:45,200
Speaker 1: and what the interview er may want to ask you there.

1150
01:03:45,360 --> 01:03:47,680
Speaker 1: I can't imagine a worse feeling in the world than

1151
01:03:47,720 --> 01:03:50,560
Speaker 1: being unprepared for that. Why do so many people go

1152
01:03:50,640 --> 01:03:52,200
Speaker 1: into job interviews unprepared?

1153
01:03:53,440 --> 01:03:54,000
Speaker 4: You know, it's so.

1154
01:03:54,080 --> 01:03:56,160
Speaker 9: Funny that you said, because I totally agree with you.

1155
01:03:56,640 --> 01:03:58,840
Speaker 9: I need to be prepared, but I have plenty of

1156
01:03:58,920 --> 01:04:02,000
Speaker 9: people tell me, no, I want to be authentic. I'm

1157
01:04:02,040 --> 01:04:03,520
Speaker 9: just going to wing it. I'm going to show up

1158
01:04:03,520 --> 01:04:03,960
Speaker 9: as I am.

1159
01:04:04,280 --> 01:04:04,440
Speaker 4: Now.

1160
01:04:04,800 --> 01:04:07,160
Speaker 9: I do think you should be authentic, but I think

1161
01:04:07,240 --> 01:04:11,200
Speaker 9: you should be authentically prepared, because if you're not prepared

1162
01:04:11,560 --> 01:04:14,960
Speaker 9: for common questions, what's going to happen is they're going

1163
01:04:15,000 --> 01:04:17,200
Speaker 9: to ask you something and you're going to choke and

1164
01:04:17,320 --> 01:04:19,160
Speaker 9: you're going to later on think to yourself, Man, I

1165
01:04:19,240 --> 01:04:21,680
Speaker 9: wish I had said that, or I wish I hadn't

1166
01:04:21,760 --> 01:04:24,960
Speaker 9: said that. So that's why it's so important to be

1167
01:04:25,160 --> 01:04:27,840
Speaker 9: prepared and be ready and show up as your best self.

1168
01:04:28,400 --> 01:04:32,760
Speaker 1: I don't think many interviewers, whether it be HR or

1169
01:04:32,840 --> 01:04:35,000
Speaker 1: the actual manager you're going to be working for. I

1170
01:04:35,200 --> 01:04:38,440
Speaker 1: don't think it takes much for someone like that to

1171
01:04:38,600 --> 01:04:42,560
Speaker 1: see somebody who's winging it or unprepared sitting in front

1172
01:04:42,600 --> 01:04:45,400
Speaker 1: of them. You've done one, two, three, four, or five interviews,

1173
01:04:45,480 --> 01:04:47,680
Speaker 1: you pretty much pick up on the fact that, wait

1174
01:04:47,720 --> 01:04:50,560
Speaker 1: a minute, this person is here and I don't even

1175
01:04:50,600 --> 01:04:53,040
Speaker 1: know why I asked them here in the first place, right.

1176
01:04:54,120 --> 01:04:55,840
Speaker 9: You know, And you bring up a really good point

1177
01:04:56,200 --> 01:04:59,200
Speaker 9: because absolutely interviewers pick up on it right away, and

1178
01:04:59,320 --> 01:05:02,120
Speaker 9: the message they get is not, oh, this person is

1179
01:05:02,160 --> 01:05:05,200
Speaker 9: trying to be authentic. The message they get is this

1180
01:05:05,440 --> 01:05:09,200
Speaker 9: person isn't interested enough in this job to spend a

1181
01:05:09,240 --> 01:05:12,760
Speaker 9: little time preparing and reviewing the job description or getting

1182
01:05:12,840 --> 01:05:15,920
Speaker 9: ready for answers. So if they're not that interested, we're

1183
01:05:15,960 --> 01:05:18,080
Speaker 9: not moving them forward. So that's all you have to

1184
01:05:18,120 --> 01:05:18,640
Speaker 9: be prepared.

1185
01:05:19,240 --> 01:05:22,640
Speaker 1: Okay, So how do how do you prepare yourself? I mean,

1186
01:05:22,720 --> 01:05:25,800
Speaker 1: I'm sure you know everybody does it differently because everybody

1187
01:05:25,960 --> 01:05:29,200
Speaker 1: is different, but there have to be some boilerplate things

1188
01:05:29,240 --> 01:05:31,680
Speaker 1: that you do before you go into a job interview.

1189
01:05:31,760 --> 01:05:33,480
Speaker 1: So what would be like the top three or four

1190
01:05:33,560 --> 01:05:34,200
Speaker 1: big things.

1191
01:05:35,520 --> 01:05:37,040
Speaker 9: Well, so let me tell you, first of all what

1192
01:05:37,160 --> 01:05:39,680
Speaker 9: they're looking for so you can be prepared for it.

1193
01:05:39,800 --> 01:05:41,560
Speaker 9: So the first thing is they want to know can.

1194
01:05:41,520 --> 01:05:42,080
Speaker 5: You do the job?

1195
01:05:42,160 --> 01:05:43,800
Speaker 9: So you need to know you know on your resume

1196
01:05:43,920 --> 01:05:44,680
Speaker 9: you can show you can.

1197
01:05:44,640 --> 01:05:45,080
Speaker 1: Do the job.

1198
01:05:45,600 --> 01:05:48,840
Speaker 9: And the second one, which most people don't get, is

1199
01:05:49,040 --> 01:05:52,520
Speaker 9: can you do and are you excited about this job?

1200
01:05:53,040 --> 01:05:56,440
Speaker 9: So preparation is about really taking a look at the

1201
01:05:56,520 --> 01:05:59,400
Speaker 9: job description. And in the book, we deconstruct a job

1202
01:05:59,440 --> 01:06:01,800
Speaker 9: description and we show you how can you take the

1203
01:06:01,920 --> 01:06:06,480
Speaker 9: job description and pick up on possible questions they're going

1204
01:06:06,560 --> 01:06:08,960
Speaker 9: to ask and then think about what would be a

1205
01:06:09,000 --> 01:06:11,080
Speaker 9: way to answer it and show I'm a motivated and

1206
01:06:11,360 --> 01:06:15,000
Speaker 9: enthusiastic about this job. In addition, now a whole bunch

1207
01:06:15,000 --> 01:06:17,440
Speaker 9: of common questions tell me about yourself, why do you

1208
01:06:17,520 --> 01:06:20,600
Speaker 9: want this job? That you should be prepared for. And

1209
01:06:21,240 --> 01:06:25,040
Speaker 9: part of that preparation is thinking about a couple of examples.

1210
01:06:25,320 --> 01:06:27,520
Speaker 9: So what's a good example when I did this, or

1211
01:06:27,560 --> 01:06:30,480
Speaker 9: what's a great story I can tell here? So when

1212
01:06:30,600 --> 01:06:33,120
Speaker 9: they ask you these questions, you're just pulling out the

1213
01:06:33,240 --> 01:06:34,840
Speaker 9: answers that you're already ready for.

1214
01:06:35,240 --> 01:06:35,439
Speaker 4: Yeah.

1215
01:06:35,520 --> 01:06:38,920
Speaker 1: Sure, I mean if it's most companies want an answer

1216
01:06:39,040 --> 01:06:41,640
Speaker 1: to you know, we make money, how can you help

1217
01:06:41,720 --> 01:06:43,760
Speaker 1: us make money? Tell us how you can help us

1218
01:06:44,120 --> 01:06:46,680
Speaker 1: be a better and more profitable company. I think that's

1219
01:06:46,880 --> 01:06:49,760
Speaker 1: probably one that would stand out to me if I

1220
01:06:49,880 --> 01:06:51,959
Speaker 1: were going into a job interview. The other one would

1221
01:06:51,960 --> 01:06:55,840
Speaker 1: be tell us how you tell us how you operate

1222
01:06:55,880 --> 01:06:57,920
Speaker 1: as a member of the team. What kind of teammate

1223
01:06:58,000 --> 01:07:00,240
Speaker 1: are you? And I just think they're just so certain

1224
01:07:00,280 --> 01:07:03,120
Speaker 1: things you have to you have to prepare yourself for.

1225
01:07:03,520 --> 01:07:05,760
Speaker 1: Imagine yourself as a leader, if you ever got to

1226
01:07:05,840 --> 01:07:08,560
Speaker 1: a leadership position, what would be the important things for you?

1227
01:07:09,080 --> 01:07:11,480
Speaker 1: I think I think you can rehearse those. But then

1228
01:07:11,560 --> 01:07:15,600
Speaker 1: there's the tendency to memorize answers and not come off

1229
01:07:15,640 --> 01:07:17,840
Speaker 1: as authentic. So how do you how do you balance that?

1230
01:07:18,960 --> 01:07:21,800
Speaker 9: Oh, I'm so glad you said that, because absolutely part

1231
01:07:21,840 --> 01:07:23,560
Speaker 9: of preparation is coming up with a good answer, but

1232
01:07:23,680 --> 01:07:25,920
Speaker 9: you definitely don't want to memorize it. And actually, in

1233
01:07:25,960 --> 01:07:28,440
Speaker 9: the book we have we have some bad examples, and

1234
01:07:28,520 --> 01:07:31,960
Speaker 9: one of them is somebody obviously memorized uh, And the

1235
01:07:32,360 --> 01:07:35,000
Speaker 9: answer and then gets interrupted and then goes back to

1236
01:07:35,040 --> 01:07:37,240
Speaker 9: the beginning because you can't remember from the middle. You

1237
01:07:37,440 --> 01:07:40,480
Speaker 9: never want to do that and instead instead what you

1238
01:07:40,640 --> 01:07:42,880
Speaker 9: want to do, And I've had plenty of have some

1239
01:07:43,040 --> 01:07:45,280
Speaker 9: notes in front of you, or have some bullet points,

1240
01:07:45,640 --> 01:07:47,120
Speaker 9: so it shouldn't be word for word.

1241
01:07:47,200 --> 01:07:47,760
Speaker 4: It should just be.

1242
01:07:48,040 --> 01:07:51,360
Speaker 9: For example, if the interviewer asked me, why are you

1243
01:07:51,520 --> 01:07:54,400
Speaker 9: interested in this job? I should have you know, two

1244
01:07:54,560 --> 01:07:56,640
Speaker 9: or three bullet points and yes, I probably should have

1245
01:07:56,720 --> 01:07:59,560
Speaker 9: said it out loud and practiced. And I also recommend

1246
01:07:59,640 --> 01:08:02,400
Speaker 9: timing yourself so you don't give a five minute answer,

1247
01:08:02,680 --> 01:08:04,840
Speaker 9: you give a one or two minute answer, but just

1248
01:08:04,920 --> 01:08:07,280
Speaker 9: have a couple of bullet points and have a story

1249
01:08:07,640 --> 01:08:11,560
Speaker 9: and make it quick rather than just think about, well,

1250
01:08:11,600 --> 01:08:13,840
Speaker 9: I'm really not sure what to say here and and

1251
01:08:13,920 --> 01:08:16,160
Speaker 9: I'm so afraid that I have to memorize it.

1252
01:08:16,479 --> 01:08:19,040
Speaker 1: Yeah, And I mean, you want to tell people what

1253
01:08:19,280 --> 01:08:21,720
Speaker 1: you can do or what you have done to help

1254
01:08:21,800 --> 01:08:25,480
Speaker 1: other companies you've been with. You don't want to seem braggadocious.

1255
01:08:25,840 --> 01:08:28,680
Speaker 1: There's kind of an art to it, but you know,

1256
01:08:28,800 --> 01:08:31,600
Speaker 1: you got to be yourself because if you start, you know,

1257
01:08:31,760 --> 01:08:34,000
Speaker 1: getting into a rhythm about what I have to say

1258
01:08:34,000 --> 01:08:35,320
Speaker 1: it this way, I have to say it that way.

1259
01:08:35,400 --> 01:08:37,679
Speaker 1: Then you don't come off as authentic, and you probably

1260
01:08:37,800 --> 01:08:39,960
Speaker 1: forget some things that are important that you want to say.

1261
01:08:40,000 --> 01:08:42,839
Speaker 1: But it's it's kind of a fine line, isn't it Anymore.

1262
01:08:42,920 --> 01:08:45,599
Speaker 1: You've got to you've got to make sure you sell yourself,

1263
01:08:45,680 --> 01:08:47,800
Speaker 1: but you also have to make sure after you make

1264
01:08:47,880 --> 01:08:49,080
Speaker 1: the sale, you get out of the room.

1265
01:08:49,120 --> 01:08:51,160
Speaker 4: You know what I mean, of course. Yeah.

1266
01:08:51,280 --> 01:08:52,880
Speaker 9: So you bring up a really good point and you

1267
01:08:53,000 --> 01:08:55,960
Speaker 9: said bragging, and I hear that concern a lot. Oh,

1268
01:08:56,000 --> 01:08:59,000
Speaker 9: I don't want to brag, but it's not about bragging

1269
01:08:59,200 --> 01:09:01,800
Speaker 9: and making yourself too big. What you need to do

1270
01:09:02,000 --> 01:09:05,400
Speaker 9: is connect what you do your accomplishments to how as

1271
01:09:05,479 --> 01:09:08,760
Speaker 9: you said, how you can help the company accomplishments at

1272
01:09:08,880 --> 01:09:10,800
Speaker 9: this job. This is what I've done in the past.

1273
01:09:11,160 --> 01:09:13,800
Speaker 9: This is how I could help in the future. And

1274
01:09:14,080 --> 01:09:18,360
Speaker 9: it's really important that you also balance using the words

1275
01:09:18,560 --> 01:09:22,160
Speaker 9: I and we because you mentioned team. So if the

1276
01:09:22,240 --> 01:09:24,160
Speaker 9: whole time you only say I did this, I did this,

1277
01:09:24,320 --> 01:09:26,519
Speaker 9: I did this. As the interview, I'm going to say, hmm,

1278
01:09:26,680 --> 01:09:28,840
Speaker 9: I wonder if this person can work with other people

1279
01:09:29,560 --> 01:09:31,519
Speaker 9: or on the other side, I've had plenty of interviewers

1280
01:09:31,600 --> 01:09:33,400
Speaker 9: that all they do is say we we WE week

1281
01:09:33,800 --> 01:09:36,400
Speaker 9: And so I thought, huh, that's great that the person

1282
01:09:36,880 --> 01:09:40,360
Speaker 9: is good with their team, but what did they actually do?

1283
01:09:41,040 --> 01:09:42,479
Speaker 9: And so you've got to think about you want to

1284
01:09:42,520 --> 01:09:45,800
Speaker 9: say both of those things and make sure that you

1285
01:09:46,040 --> 01:09:48,280
Speaker 9: have the information. The other thing is you can use

1286
01:09:48,320 --> 01:09:50,840
Speaker 9: a framework to really get the message across.

1287
01:09:51,000 --> 01:09:52,280
Speaker 4: And we have a couple of them.

1288
01:09:52,680 --> 01:09:56,759
Speaker 9: So like soa R sore, tell somebody, here's the situation,

1289
01:09:57,360 --> 01:10:01,840
Speaker 9: here's the obstacle. I was able to work on action A.

1290
01:10:02,600 --> 01:10:04,280
Speaker 9: So this is what I did, and this is what

1291
01:10:04,360 --> 01:10:06,439
Speaker 9: the team did, and here's the result. And this is

1292
01:10:06,479 --> 01:10:09,719
Speaker 9: the kind of result I can have for your company

1293
01:10:09,880 --> 01:10:12,479
Speaker 9: in this job. So making sure that you're really connecting

1294
01:10:12,520 --> 01:10:13,160
Speaker 9: it to this job.

1295
01:10:14,800 --> 01:10:19,000
Speaker 1: You've worked in business, you've worked. It's saying here you

1296
01:10:19,080 --> 01:10:21,840
Speaker 1: were a senior talent director of talent development for a

1297
01:10:21,880 --> 01:10:26,240
Speaker 1: global tech company. What is the one question you asked

1298
01:10:26,439 --> 01:10:30,960
Speaker 1: when you were looking for a perspective employee? What was

1299
01:10:31,040 --> 01:10:34,320
Speaker 1: the one question that you had to have answered or

1300
01:10:34,600 --> 01:10:36,800
Speaker 1: it was like this person's a non starter.

1301
01:10:37,960 --> 01:10:40,080
Speaker 9: Well, and then so this is going to sound funny

1302
01:10:40,080 --> 01:10:42,600
Speaker 9: because this is my favorite question. I always ask this

1303
01:10:42,920 --> 01:10:46,200
Speaker 9: tell me about yourself. And it sounds so general. But

1304
01:10:46,680 --> 01:10:49,120
Speaker 9: here's why I love it because in like this is

1305
01:10:49,200 --> 01:10:51,599
Speaker 9: typically in the first you know, two minutes of an interview,

1306
01:10:52,160 --> 01:10:54,599
Speaker 9: I really want to find out first of all, if

1307
01:10:54,600 --> 01:10:56,479
Speaker 9: there are red flags, what are they going to say,

1308
01:10:56,600 --> 01:10:58,560
Speaker 9: how prepared are they? What do they really want me

1309
01:10:58,640 --> 01:11:01,640
Speaker 9: to know about that? And so that gives me some

1310
01:11:01,840 --> 01:11:05,519
Speaker 9: indications about where we're going with this. And then I

1311
01:11:05,600 --> 01:11:08,000
Speaker 9: also really want to ask them, why do you want

1312
01:11:08,320 --> 01:11:11,960
Speaker 9: this job? Because again, if their answers are general, well,

1313
01:11:12,040 --> 01:11:14,320
Speaker 9: I'm looking for a kind of job that does this,

1314
01:11:14,439 --> 01:11:16,040
Speaker 9: And I'm thinking, Okay, I know you're looking for a

1315
01:11:16,120 --> 01:11:18,479
Speaker 9: job because you're in front of me, but why do

1316
01:11:18,600 --> 01:11:21,559
Speaker 9: you want this job? And if they then can connect

1317
01:11:21,600 --> 01:11:24,360
Speaker 9: to I'm excited about these opportunities. I want to do

1318
01:11:24,479 --> 01:11:27,200
Speaker 9: this and really connect it, then I think, Okay, if

1319
01:11:27,280 --> 01:11:30,439
Speaker 9: I hire this person, they're probably a good chance they

1320
01:11:30,479 --> 01:11:33,000
Speaker 9: will stay for a while rather than just ooh, I

1321
01:11:33,120 --> 01:11:35,720
Speaker 9: happen to be a job you know that they're looking at.

1322
01:11:36,120 --> 01:11:38,839
Speaker 9: So I really want to know this job as opposed

1323
01:11:38,880 --> 01:11:40,679
Speaker 9: to yeah, I just want something in the future.

1324
01:11:41,120 --> 01:11:44,200
Speaker 1: Exactly. There's nothing more expensive for a company than to

1325
01:11:44,320 --> 01:11:47,439
Speaker 1: keep hiring employees, and if the churn rate is pretty high,

1326
01:11:47,600 --> 01:11:49,800
Speaker 1: chances are well you have probably probably. If the churn

1327
01:11:49,880 --> 01:11:52,599
Speaker 1: rate is high, you have bad people conducting the interview,

1328
01:11:52,760 --> 01:11:54,639
Speaker 1: you get bad candidates, and then all of a sudden,

1329
01:11:54,680 --> 01:11:56,559
Speaker 1: you're back at it again in six or nine months.

1330
01:11:56,920 --> 01:11:58,320
Speaker 3: Lord Brown's are exactly.

1331
01:11:58,560 --> 01:12:01,240
Speaker 1: She is the author of interviews speaking what your interviewer

1332
01:12:01,479 --> 01:12:03,680
Speaker 1: really wants to know. She's got a master's degree in

1333
01:12:03,800 --> 01:12:07,200
Speaker 1: human resources, and she's the creator of coffee break dot Com.

1334
01:12:08,280 --> 01:12:11,360
Speaker 1: I'm guessing on coffee break dot com we find what

1335
01:12:12,280 --> 01:12:14,600
Speaker 1: dark ROAs, medium ROAs? What are we flying on it?

1336
01:12:15,160 --> 01:12:19,040
Speaker 9: What are you offering here, Laura, Oh, it's careercoffee break

1337
01:12:19,120 --> 01:12:21,040
Speaker 9: dot com. And I like to think I'm giving you.

1338
01:12:21,400 --> 01:12:24,320
Speaker 9: I'm giving you tips to sip with your coffee in

1339
01:12:24,360 --> 01:12:28,280
Speaker 9: the morning because it's quick career tip, quick career tips.

1340
01:12:28,320 --> 01:12:30,560
Speaker 9: And if they go there, they can actually get a

1341
01:12:30,600 --> 01:12:33,680
Speaker 9: forty discount on the books from the publisher. And I've

1342
01:12:33,680 --> 01:12:36,559
Speaker 9: also got online classes to help you get a raise

1343
01:12:36,600 --> 01:12:40,280
Speaker 9: at work or help you to negotiate your higher salary

1344
01:12:40,360 --> 01:12:41,200
Speaker 9: at your next job.

1345
01:12:41,960 --> 01:12:47,280
Speaker 1: Career coffee break dot com. Did you ever I suppose

1346
01:12:47,400 --> 01:12:49,880
Speaker 1: interview somebody and you thought this is it. This is

1347
01:12:49,960 --> 01:12:53,679
Speaker 1: the person and the way companies operate. Now you're going

1348
01:12:53,760 --> 01:12:56,240
Speaker 1: to do something that is not person to person, you

1349
01:12:56,360 --> 01:12:59,479
Speaker 1: might do it. You might you might do it in

1350
01:12:59,560 --> 01:13:01,640
Speaker 1: a zoom. You might even do it just in a

1351
01:13:01,720 --> 01:13:04,439
Speaker 1: back and forth chat on someplace. And then eventually you

1352
01:13:04,560 --> 01:13:07,040
Speaker 1: get that person in the room and man, you're excited.

1353
01:13:07,120 --> 01:13:08,720
Speaker 1: You think this is the person. They get in there

1354
01:13:08,720 --> 01:13:13,960
Speaker 1: and they absolutely drop the ball. Why if so, if

1355
01:13:14,000 --> 01:13:17,760
Speaker 1: that ever happened, what was it about that person when

1356
01:13:17,800 --> 01:13:20,000
Speaker 1: they dropped the ball? What was there drop the ball moment?

1357
01:13:20,120 --> 01:13:23,360
Speaker 1: Besides they're freezing perhaps on the question and tell me

1358
01:13:23,400 --> 01:13:24,120
Speaker 1: about yourself.

1359
01:13:25,240 --> 01:13:28,360
Speaker 9: Yeah, And it's so typically when it's something like that,

1360
01:13:28,800 --> 01:13:32,080
Speaker 9: they've come across really really well and their answers are good,

1361
01:13:32,520 --> 01:13:35,720
Speaker 9: and so maybe they've been really good at preparing. But

1362
01:13:35,960 --> 01:13:39,120
Speaker 9: then they come in and then or again on zoom

1363
01:13:39,200 --> 01:13:41,400
Speaker 9: or you know, there in the office, and then you

1364
01:13:41,520 --> 01:13:44,559
Speaker 9: ask them something like why did you leave your last job?

1365
01:13:44,960 --> 01:13:47,599
Speaker 9: So you ask them sort of a more difficult question,

1366
01:13:48,280 --> 01:13:52,559
Speaker 9: and then they stumble because they're like ugh, or sometimes

1367
01:13:52,600 --> 01:13:54,320
Speaker 9: and I haven't done this, but sometimes you ask them

1368
01:13:54,360 --> 01:13:57,120
Speaker 9: kind of a weird question, which is a weird question

1369
01:13:57,160 --> 01:14:00,519
Speaker 9: might be tell me what sort of superhero you would

1370
01:14:00,560 --> 01:14:02,519
Speaker 9: be if you were superior, because I want to hear

1371
01:14:03,040 --> 01:14:06,680
Speaker 9: how they handle something when there's no right answer and

1372
01:14:06,760 --> 01:14:08,679
Speaker 9: when they haven't been able to prepare. What I really

1373
01:14:08,720 --> 01:14:10,760
Speaker 9: want to find out is how do you think and

1374
01:14:10,840 --> 01:14:12,720
Speaker 9: if they're really sort of stunted or if they get

1375
01:14:12,760 --> 01:14:15,120
Speaker 9: annoyed or something like that and think, Mmmm, this is

1376
01:14:15,280 --> 01:14:17,639
Speaker 9: not the right person. So you have to not only

1377
01:14:17,720 --> 01:14:20,600
Speaker 9: be prepared if you are the person that's sitting in

1378
01:14:20,640 --> 01:14:23,120
Speaker 9: front of me, you have to be ready for weird

1379
01:14:23,240 --> 01:14:26,280
Speaker 9: questions or questions you don't like, or questions you don't expect,

1380
01:14:26,439 --> 01:14:28,400
Speaker 9: because I want to see how do you handle that,

1381
01:14:28,479 --> 01:14:31,120
Speaker 9: because in real life and work, things don't go the

1382
01:14:31,200 --> 01:14:32,160
Speaker 9: way that you expect.

1383
01:14:32,320 --> 01:14:33,880
Speaker 3: You need to show me that you can handle that.

1384
01:14:34,360 --> 01:14:37,000
Speaker 1: I said in a job interview, Laura, Gosh, this is

1385
01:14:37,080 --> 01:14:40,439
Speaker 1: going back maybe thirty five forty years ago. I would

1386
01:14:40,640 --> 01:14:42,080
Speaker 1: I don't expect you to know this, but I was

1387
01:14:42,120 --> 01:14:46,400
Speaker 1: a television anchored news sports, and so I'm at a

1388
01:14:46,479 --> 01:14:48,760
Speaker 1: television station and I'm an interviewed for a job and

1389
01:14:48,800 --> 01:14:51,000
Speaker 1: there's three people in the room interviewing me, and one

1390
01:14:51,080 --> 01:14:55,360
Speaker 1: person asks me, do you like dogs? I looked at her,

1391
01:14:55,800 --> 01:14:58,080
Speaker 1: and I said, yeah, no, I liked dog. What's your

1392
01:14:58,120 --> 01:15:00,840
Speaker 1: favorite dog? And I'm thinking the only thing I could

1393
01:15:00,840 --> 01:15:03,280
Speaker 1: think of was Rottweiler. And I don't know why. I

1394
01:15:04,000 --> 01:15:07,160
Speaker 1: don't particularly like Rottweiler's. I ought more for, like, you know,

1395
01:15:08,760 --> 01:15:12,240
Speaker 1: but whatever she was and I'm like, I know. My

1396
01:15:12,479 --> 01:15:14,360
Speaker 1: jaw had to hit the ground when she asked it,

1397
01:15:14,479 --> 01:15:17,360
Speaker 1: and like one guy is nodding, yeah, Rottweiler's. I like it,

1398
01:15:17,439 --> 01:15:19,760
Speaker 1: and like her she backs up like it's like the

1399
01:15:19,840 --> 01:15:21,800
Speaker 1: worst thing in the world. And I walked out of

1400
01:15:21,840 --> 01:15:23,640
Speaker 1: that job interview. It was out of town. It was

1401
01:15:23,720 --> 01:15:25,679
Speaker 1: I had to fly out of there, and I said,

1402
01:15:25,680 --> 01:15:27,800
Speaker 1: you know what, I don't even want this job. This

1403
01:15:27,960 --> 01:15:30,120
Speaker 1: person sitting here asking me what kind of dog do

1404
01:15:30,240 --> 01:15:32,400
Speaker 1: I like, It's like, what do you care? I'm not

1405
01:15:32,520 --> 01:15:35,280
Speaker 1: bringing the dog to work, so you're hiring me, you're

1406
01:15:35,320 --> 01:15:39,400
Speaker 1: not hiring my dog. But anyway, but I think they

1407
01:15:39,520 --> 01:15:41,280
Speaker 1: did that. My point in all of this is they

1408
01:15:41,360 --> 01:15:44,760
Speaker 1: did that for a reaction. And should you be prepared

1409
01:15:45,120 --> 01:15:48,040
Speaker 1: for a question that has nothing to do with the job,

1410
01:15:48,920 --> 01:15:52,000
Speaker 1: just so they can gauge your reaction to a question.

1411
01:15:53,720 --> 01:15:55,880
Speaker 9: I'm that's exactly it. So, so if I were asked

1412
01:15:55,920 --> 01:15:57,400
Speaker 9: you know, what kind of dog do you like?

1413
01:15:57,680 --> 01:15:57,960
Speaker 3: Again?

1414
01:15:58,040 --> 01:15:58,960
Speaker 4: Weird question.

1415
01:16:00,280 --> 01:16:01,439
Speaker 1: That that don't say.

1416
01:16:02,840 --> 01:16:03,960
Speaker 4: No, I wouldn't, so.

1417
01:16:04,080 --> 01:16:07,880
Speaker 9: I might say something, well, you know, I I would

1418
01:16:08,040 --> 01:16:09,840
Speaker 9: like a dog, you know. I like dogs that are

1419
01:16:10,000 --> 01:16:12,360
Speaker 9: that are big and friendly and nice, So I think

1420
01:16:12,439 --> 01:16:15,679
Speaker 9: like a golden retriever. So I've given a reason why. Okay,

1421
01:16:16,160 --> 01:16:17,479
Speaker 9: but isn't that a nice answer?

1422
01:16:18,320 --> 01:16:19,439
Speaker 4: I want to know, is right?

1423
01:16:19,520 --> 01:16:21,360
Speaker 9: All I want to know is that I can you know,

1424
01:16:21,520 --> 01:16:24,160
Speaker 9: I can answer something that I that it's not expected

1425
01:16:24,200 --> 01:16:26,840
Speaker 9: that I have a reason there and it comes across

1426
01:16:26,880 --> 01:16:30,200
Speaker 9: as a as a positive answer, So it doesn't matter.

1427
01:16:30,520 --> 01:16:32,200
Speaker 9: I mean, you know, you could pick up about any

1428
01:16:32,280 --> 01:16:35,320
Speaker 9: dog as long as there is a reason why you

1429
01:16:35,439 --> 01:16:37,040
Speaker 9: say it and it's a reasonable reason.

1430
01:16:37,400 --> 01:16:37,599
Speaker 4: Yeah.

1431
01:16:37,720 --> 01:16:40,240
Speaker 1: Well, the only beauty for me is is that the

1432
01:16:40,600 --> 01:16:42,880
Speaker 1: three people that I interviewed with, they were all gone

1433
01:16:42,960 --> 01:16:43,880
Speaker 1: within ten months.

1434
01:16:44,120 --> 01:16:49,080
Speaker 7: So okay, this is really interesting, right.

1435
01:16:49,080 --> 01:16:51,640
Speaker 1: A wise maneuver on my part. Okay, where do we

1436
01:16:51,760 --> 01:16:54,960
Speaker 1: Where do we get to interview? Speak? What your interview?

1437
01:16:55,040 --> 01:16:57,439
Speaker 1: Your interviewer or really wants to know. I'm sure it's

1438
01:16:57,479 --> 01:16:59,000
Speaker 1: on Amazon, but where else can we find?

1439
01:16:59,240 --> 01:17:01,320
Speaker 9: Well, of course it's on Amazon again, but come to

1440
01:17:01,520 --> 01:17:04,479
Speaker 9: careercoffee break dot Com because you can get the forty

1441
01:17:04,479 --> 01:17:07,280
Speaker 9: percent discount on Amazon, you won't get the discount, So

1442
01:17:07,840 --> 01:17:11,200
Speaker 9: my publisher really wants to incentivize you. Because the whole

1443
01:17:11,240 --> 01:17:13,400
Speaker 9: point is that you never know when you're going to

1444
01:17:13,439 --> 01:17:15,400
Speaker 9: get an interview, is you pointed out? You know in

1445
01:17:15,439 --> 01:17:17,280
Speaker 9: the year twenty twenty six a lot of us are

1446
01:17:17,320 --> 01:17:20,719
Speaker 9: going to be interviewed again. So start now, get ready,

1447
01:17:20,800 --> 01:17:23,360
Speaker 9: Start to understand what you need to do so you're

1448
01:17:23,400 --> 01:17:25,719
Speaker 9: prepared when a friend of yours said, hey, there's something

1449
01:17:25,800 --> 01:17:28,000
Speaker 9: at my company, maybe you should apply for that, be

1450
01:17:28,120 --> 01:17:28,680
Speaker 9: prepared now.

1451
01:17:28,960 --> 01:17:32,200
Speaker 1: Yeah. And you offer online courses for people to earn

1452
01:17:32,280 --> 01:17:34,680
Speaker 1: more money at work. Is that at the Careercoffee Break

1453
01:17:34,760 --> 01:17:35,479
Speaker 1: dot com as well?

1454
01:17:35,920 --> 01:17:37,280
Speaker 3: Yes, yes it is.

1455
01:17:37,520 --> 01:17:40,240
Speaker 9: I love to help people make more money, and I

1456
01:17:40,360 --> 01:17:42,840
Speaker 9: help people to ask for raises, and when they do

1457
01:17:43,000 --> 01:17:45,479
Speaker 9: get that job offer, there are some keys I give

1458
01:17:45,560 --> 01:17:48,759
Speaker 9: them to how do you get the highest money possible?

1459
01:17:49,160 --> 01:17:52,280
Speaker 9: Because the money is really important and people get really

1460
01:17:52,360 --> 01:17:55,240
Speaker 9: nervous about asking for more. But absolutely you need to

1461
01:17:55,280 --> 01:17:56,280
Speaker 9: negotiate for yourself.

1462
01:17:56,640 --> 01:17:58,920
Speaker 1: Well, Laura, the next time you see a Rottweilers, think

1463
01:17:58,960 --> 01:17:59,120
Speaker 1: of me.

1464
01:17:59,240 --> 01:18:03,720
Speaker 9: Okay again, I certainly will. And then it's some wonderful

1465
01:18:03,840 --> 01:18:04,400
Speaker 9: talking to you.

1466
01:18:04,600 --> 01:18:08,120
Speaker 1: I really really appreciate that, right, Laura Brown find her

1467
01:18:08,160 --> 01:18:10,799
Speaker 1: again at Career coffee break dot com. Thank you, Laura, stay.

1468
01:18:10,640 --> 01:18:12,479
Speaker 4: Will, thank you so much.

1469
01:18:12,560 --> 01:18:12,960
Speaker 3: Bye bye.

1470
01:18:13,960 --> 01:18:17,000
Speaker 1: It's true story. I did. I interviewed it at this

1471
01:18:17,120 --> 01:18:21,160
Speaker 1: television station. I forget where. It wasn't Dallas, it was

1472
01:18:21,400 --> 01:18:24,000
Speaker 1: it was it was it might have been Houston. It

1473
01:18:24,120 --> 01:18:25,880
Speaker 1: was in Texas, that's all. It had to be Dallas.

1474
01:18:25,960 --> 01:18:27,559
Speaker 1: And it was in Dallas, so it was in Houston.

1475
01:18:27,600 --> 01:18:33,080
Speaker 1: And they asked me do you like dogs. I'm like, yeah, yeah,

1476
01:18:33,120 --> 01:18:35,080
Speaker 1: I love dogs. And the only dog I think I

1477
01:18:35,120 --> 01:18:36,720
Speaker 1: don't even think I had a dog at the time

1478
01:18:37,000 --> 01:18:40,000
Speaker 1: going there. I think it was Rottwiler. And the woman

1479
01:18:40,040 --> 01:18:42,080
Speaker 1: that asked the question, there was two guys and a

1480
01:18:42,120 --> 01:18:45,120
Speaker 1: woman in this in this room, and she felt almost

1481
01:18:45,200 --> 01:18:48,439
Speaker 1: backward in her chair and her eyes got like saucer cups,

1482
01:18:49,240 --> 01:18:51,960
Speaker 1: and it's like the two guys are like, yeah, yeah, yeah, right,

1483
01:18:52,040 --> 01:18:54,559
Speaker 1: well yeah yeah yeah, we like Rottwilers. And I'm thinking

1484
01:18:54,600 --> 01:18:57,080
Speaker 1: to myself, why are they asking me this? And then

1485
01:18:57,240 --> 01:18:59,080
Speaker 1: like I don't know. An hour later, when I left

1486
01:18:59,080 --> 01:19:01,000
Speaker 1: the building, I said, there is no way in hell

1487
01:19:01,160 --> 01:19:04,400
Speaker 1: I'm going to work there, but they were They all

1488
01:19:04,439 --> 01:19:08,559
Speaker 1: got canned within ten months. Such is the swinging, swirling

1489
01:19:08,640 --> 01:19:12,439
Speaker 1: world of broadcasting to twenty seven News Radio seven hundred

1490
01:19:12,640 --> 01:19:16,160
Speaker 1: WYLW today, it does mark the beginning of the end.

1491
01:19:20,280 --> 01:19:21,639
Speaker 4: Oh hello.

1492
01:19:23,200 --> 01:19:24,800
Speaker 3: Yet and I'm I'm broadcasting.

1493
01:19:29,520 --> 01:19:31,920
Speaker 1: Seg, is that a golf tournament? He's had a golf

1494
01:19:32,000 --> 01:19:35,639
Speaker 1: tournament for Bengals sponsors and it's at Ashton Woods, which

1495
01:19:35,720 --> 01:19:37,760
Speaker 1: is a lovely golf course. And Seg, what did you

1496
01:19:37,840 --> 01:19:38,400
Speaker 1: shoot today?

1497
01:19:40,040 --> 01:19:41,920
Speaker 4: I didn't play, then, Brew, I don't play.

1498
01:19:41,800 --> 01:19:44,800
Speaker 1: Golf, so you didn't. You didn't play golf, but you

1499
01:19:44,880 --> 01:19:45,800
Speaker 1: went there for why?

1500
01:19:47,600 --> 01:19:50,080
Speaker 4: I'm here for entertainment purposes?

1501
01:19:52,600 --> 01:19:54,559
Speaker 1: Well, are you doing a one man review?

1502
01:19:54,680 --> 01:19:55,880
Speaker 4: What? What? What? What do you mean?

1503
01:19:55,920 --> 01:19:56,479
Speaker 1: Like your tournament?

1504
01:19:57,160 --> 01:19:59,880
Speaker 4: I'm going to comedy act and show later on in

1505
01:20:00,000 --> 01:20:03,680
Speaker 4: and just to get our sponsors to uh renew and

1506
01:20:03,760 --> 01:20:05,120
Speaker 4: look toward twenty twenty six.

1507
01:20:05,400 --> 01:20:07,639
Speaker 1: Now what kind of sponsors are out there? Seg? Who

1508
01:20:07,680 --> 01:20:08,280
Speaker 1: are these people?

1509
01:20:08,560 --> 01:20:13,400
Speaker 4: Everybody? And the Pellas down here, Dizzy's for ours, came

1510
01:20:13,479 --> 01:20:17,000
Speaker 4: for our lunch. All the sponsors a door and window,

1511
01:20:17,080 --> 01:20:21,320
Speaker 4: they're all here. They're all our Bengal croud Bengal sponsors are.

1512
01:20:21,240 --> 01:20:23,760
Speaker 1: Here and all the sales. The entire sales staff is

1513
01:20:23,800 --> 01:20:29,080
Speaker 1: there right correct, and left behind our our production and

1514
01:20:29,320 --> 01:20:31,240
Speaker 1: talent and maintenance.

1515
01:20:32,880 --> 01:20:35,519
Speaker 4: Not many, not many are there today with all with

1516
01:20:35,600 --> 01:20:41,960
Speaker 4: all of us here, there were productive and.

1517
01:20:42,000 --> 01:20:44,280
Speaker 1: It's a beautiful day. It's a good day to be outside,

1518
01:20:44,320 --> 01:20:47,479
Speaker 1: which is why I've been broadcasting outside all day and

1519
01:20:48,560 --> 01:20:50,560
Speaker 1: and you're outside. So why don't you fill us in

1520
01:20:50,680 --> 01:20:52,960
Speaker 1: on what we're missing here? In sports seg Who is

1521
01:20:53,000 --> 01:20:54,880
Speaker 1: it brought to us by? Who would be the the

1522
01:20:55,000 --> 01:20:56,880
Speaker 1: sponsor that brings us this report?

1523
01:20:58,320 --> 01:21:01,120
Speaker 4: Ken Brew, the students reporters of Croud Service, every local

1524
01:21:01,240 --> 01:21:05,599
Speaker 4: Thamestar eating an air condition dealers Thamestar quality you can

1525
01:21:05,640 --> 01:21:08,840
Speaker 4: feel in Cincinnati. Col Schmid eating at Coolie five one

1526
01:21:09,000 --> 01:21:12,479
Speaker 4: three five three one sixty nine hundred Schmidt.

1527
01:21:13,160 --> 01:21:13,840
Speaker 1: We love Schmidt.

1528
01:21:13,920 --> 01:21:14,760
Speaker 4: You need to eat now.

1529
01:21:15,400 --> 01:21:18,200
Speaker 1: Yeah, turn it up, turn it up, turn up the heat.

1530
01:21:18,360 --> 01:21:21,439
Speaker 4: Yeah. We also want to thank Ron's Roost Restaurant and

1531
01:21:21,520 --> 01:21:24,680
Speaker 4: Bar can Brew the world's greatest fried Chicken thirty eight

1532
01:21:24,720 --> 01:21:27,200
Speaker 4: to fifty three race road at five one three, five

1533
01:21:27,360 --> 01:21:30,840
Speaker 4: seven four two two two, providing our dinner for the

1534
01:21:30,960 --> 01:21:33,160
Speaker 4: luncheon golf outing today.

1535
01:21:33,600 --> 01:21:36,519
Speaker 1: Oh okay, well, let's think there are you bringing anything

1536
01:21:36,600 --> 01:21:39,040
Speaker 1: back here for some of the poor of us that

1537
01:21:39,200 --> 01:21:39,639
Speaker 1: have to work.

1538
01:21:40,120 --> 01:21:41,920
Speaker 4: I'll bring you back a doggie bag.

1539
01:21:42,320 --> 01:21:45,400
Speaker 1: Yeah we won't see that. Say please, please suck. We're

1540
01:21:45,439 --> 01:21:46,080
Speaker 1: never going to see that.

1541
01:21:46,200 --> 01:21:48,840
Speaker 3: But go ahead, Bengals up.

1542
01:21:48,880 --> 01:21:50,559
Speaker 4: They brought to you by you a good Spirits at

1543
01:21:50,600 --> 01:21:55,360
Speaker 4: Party Town thirteen Locations, Northern Kentucky. Bengals and Jeff Sunday

1544
01:21:55,840 --> 01:21:58,840
Speaker 4: previewed all tonight with Lance and Company at the Cincinnada

1545
01:21:59,240 --> 01:22:03,000
Speaker 4: Tax Resolute in Power by Tope Round Table Show presented

1546
01:22:03,040 --> 01:22:05,920
Speaker 4: by Postman Law. That'll be live from Long Knicks and

1547
01:22:05,920 --> 01:22:09,240
Speaker 4: Beautiful rich Wood starting a six five year on seven

1548
01:22:09,320 --> 01:22:13,799
Speaker 4: hundred WLW. Former Angals quarterback Ken Anderson, along with Isaac

1549
01:22:13,840 --> 01:22:17,200
Speaker 4: Curtis and Leap and Lamar Parrish, who's going in Sunday

1550
01:22:17,240 --> 01:22:19,880
Speaker 4: in the Ring of Honor along with Dave Levam. Those

1551
01:22:19,920 --> 01:22:22,559
Speaker 4: three gentlemen are a step closer to the Pro Football

1552
01:22:22,640 --> 01:22:27,719
Speaker 4: Hall of Fame in Canton because Anderson, Is Anderson, Curtis,

1553
01:22:27,840 --> 01:22:32,439
Speaker 4: and Parish are among thirty four players now have that

1554
01:22:32,560 --> 01:22:35,760
Speaker 4: are on the Blue Rivet Committee, still in contention and

1555
01:22:35,840 --> 01:22:37,920
Speaker 4: in the running to be enshrined.

1556
01:22:38,479 --> 01:22:41,280
Speaker 1: No seg I hope you know, I hope Ken Anderson

1557
01:22:41,320 --> 01:22:44,160
Speaker 1: should be in the Hall of Fame. That is beyond argument.

1558
01:22:44,680 --> 01:22:47,439
Speaker 1: I hope that they don't. I hope they don't put

1559
01:22:47,520 --> 01:22:50,080
Speaker 1: him in the Hall of Fame after he's gone. You know,

1560
01:22:50,200 --> 01:22:52,280
Speaker 1: they did that to Ken Stadler. They did that to

1561
01:22:52,400 --> 01:22:55,560
Speaker 1: Ken Stabler. I just think that's so wrong. You know,

1562
01:22:55,680 --> 01:22:57,840
Speaker 1: if the man is Hall of Fame, where they put

1563
01:22:57,920 --> 01:22:59,920
Speaker 1: him in while he and his family can enjoy it.

1564
01:23:01,640 --> 01:23:05,639
Speaker 4: Let's see what soccer ken brew. Of course, our beloved

1565
01:23:06,200 --> 01:23:09,960
Speaker 4: FC Cincinnati starts the playoffs the this Monday night against

1566
01:23:10,000 --> 01:23:14,240
Speaker 4: the Columbus Crew. But Evander from SD Cincinnati is one

1567
01:23:14,280 --> 01:23:18,479
Speaker 4: of three players up for the MLS MVP vote, and

1568
01:23:18,640 --> 01:23:23,000
Speaker 4: Nick Haglin, the Pride to Cincinnati, looks like he's up

1569
01:23:23,080 --> 01:23:25,080
Speaker 4: for Comeback Player of the Year award.

1570
01:23:25,400 --> 01:23:27,559
Speaker 1: Well, that would be a big comeback. I mean, if

1571
01:23:27,640 --> 01:23:30,479
Speaker 1: this hit thing holds up, he's he's done well coming

1572
01:23:30,520 --> 01:23:32,680
Speaker 1: back from that injury. Absolutely it should.

1573
01:23:32,400 --> 01:23:32,800
Speaker 3: Be that way.

1574
01:23:32,920 --> 01:23:35,200
Speaker 4: Yes, give it and that of course to the big

1575
01:23:35,320 --> 01:23:39,240
Speaker 4: news of the day is the NBA as gambling scandal.

1576
01:23:40,200 --> 01:23:43,760
Speaker 4: Portland Trailblazers coach Chauncey Billups, along with Miami heat guard

1577
01:23:43,880 --> 01:23:48,840
Speaker 4: Terry Rosier and former Cleveland Cavaliers player and assistant coach

1578
01:23:48,960 --> 01:23:52,960
Speaker 4: Damon Jones all arrested today as part of a pair

1579
01:23:53,000 --> 01:23:59,360
Speaker 4: of investigations related to illegal gambling in both the NBA

1580
01:23:59,600 --> 01:24:01,200
Speaker 4: and all the poker games.

1581
01:24:01,400 --> 01:24:03,479
Speaker 1: Well, the Chauncey Billups thing is the scene out of

1582
01:24:03,520 --> 01:24:05,960
Speaker 1: the Sopranos. They did a whole they did a whole

1583
01:24:06,320 --> 01:24:09,360
Speaker 1: episode in The Sopranos of a card game, this big

1584
01:24:09,439 --> 01:24:09,840
Speaker 1: card game.

1585
01:24:11,000 --> 01:24:14,000
Speaker 4: Yeah, it's like illegal poker operation tied to the mafia.

1586
01:24:14,280 --> 01:24:17,000
Speaker 1: And yeah, there are four of the five major mafia

1587
01:24:17,120 --> 01:24:20,360
Speaker 1: families were involved in this thing, and old Chauncey and

1588
01:24:20,439 --> 01:24:24,320
Speaker 1: apparently they had things like the machines that shuffled the cards.

1589
01:24:24,760 --> 01:24:27,760
Speaker 1: Those things were shuffling them in an order where you know,

1590
01:24:27,880 --> 01:24:30,439
Speaker 1: the house, the house would always know what the cards were.

1591
01:24:30,680 --> 01:24:33,599
Speaker 1: They had X ray machines underneath tables so they could

1592
01:24:33,600 --> 01:24:35,519
Speaker 1: see cards when the cards were laid down. Now you're

1593
01:24:35,560 --> 01:24:38,879
Speaker 1: Chauncey Billups, all right. I'm not saying, you know, Chauncey

1594
01:24:39,040 --> 01:24:41,360
Speaker 1: is is the brightest ball in the circuit. I don't know,

1595
01:24:41,840 --> 01:24:43,920
Speaker 1: But I'm just saying, if you're Chauncey Billups and you've

1596
01:24:44,040 --> 01:24:48,080
Speaker 1: made like one hundred million dollars in your career. What

1597
01:24:48,200 --> 01:24:50,240
Speaker 1: the hell are you playing in a card game where

1598
01:24:50,280 --> 01:24:53,000
Speaker 1: you're going to make maybe like four or five thousand dollars. Guy,

1599
01:24:53,160 --> 01:24:56,400
Speaker 1: the guy was getting paid to coach Portland. He's a coach.

1600
01:24:56,600 --> 01:24:59,160
Speaker 1: He made one hundred and seven million dollars playing in

1601
01:24:59,240 --> 01:25:02,080
Speaker 1: the NBA, and now he's making money coaching and he's

1602
01:25:02,120 --> 01:25:04,400
Speaker 1: involved in a card game with the mafia.

1603
01:25:05,040 --> 01:25:05,360
Speaker 5: What's that?

1604
01:25:05,640 --> 01:25:08,040
Speaker 1: What is this guy thinking that?

1605
01:25:08,200 --> 01:25:11,479
Speaker 4: I don't know, ken Brew. I guess they tallied up

1606
01:25:11,720 --> 01:25:15,160
Speaker 4: thirty people so far in the whole thing, so I guess.

1607
01:25:15,280 --> 01:25:19,439
Speaker 4: And then what's rather quiet? It's that gambling gamble with

1608
01:25:19,920 --> 01:25:23,920
Speaker 4: the Cleveland Guardians two pitchers. You haven't heard anything about

1609
01:25:23,960 --> 01:25:26,439
Speaker 4: that lately, No, no, no, But.

1610
01:25:26,520 --> 01:25:29,120
Speaker 1: You know what, the NBA. I've always said this, The

1611
01:25:29,320 --> 01:25:32,880
Speaker 1: NBA has always been the most susceptible league to this

1612
01:25:33,120 --> 01:25:35,679
Speaker 1: kind of thing. There's only five guys on the court

1613
01:25:35,760 --> 01:25:38,280
Speaker 1: for each team, and all you gotta do is, like,

1614
01:25:38,439 --> 01:25:41,120
Speaker 1: you know, just you know, lolly gaga shot or don't

1615
01:25:41,160 --> 01:25:44,240
Speaker 1: play defense, or maybe you miss a few on purpose,

1616
01:25:44,320 --> 01:25:46,920
Speaker 1: and all of a sudden, you know you can help

1617
01:25:47,200 --> 01:25:49,360
Speaker 1: somebody who's got money on the game. And it's been

1618
01:25:49,439 --> 01:25:53,240
Speaker 1: that way fifty The college basketball and fifty one, the

1619
01:25:53,560 --> 01:25:57,080
Speaker 1: greatest college basketball betting scandal involved all these New York

1620
01:25:57,120 --> 01:25:59,360
Speaker 1: City teams. And then you had the Donnage thing with

1621
01:25:59,640 --> 01:26:03,080
Speaker 1: the that was providing gamblers with information. And then he

1622
01:26:03,120 --> 01:26:06,400
Speaker 1: had just what a couple of years ago, they had

1623
01:26:06,439 --> 01:26:09,560
Speaker 1: a guy that played for Toronto that he was he

1624
01:26:09,760 --> 01:26:12,280
Speaker 1: was banned for life for gambling. And now you got this,

1625
01:26:12,439 --> 01:26:14,439
Speaker 1: I guarantee you these two guys are gonna flip. They're

1626
01:26:14,439 --> 01:26:16,400
Speaker 1: gonna give other names. That's the way it works. With

1627
01:26:16,479 --> 01:26:16,920
Speaker 1: the fence.

1628
01:26:17,880 --> 01:26:22,559
Speaker 4: They were talking about like sports books were in multiple

1629
01:26:22,640 --> 01:26:26,719
Speaker 4: states flagged suspicious betting interest in certain games and stuff.

1630
01:26:26,760 --> 01:26:29,840
Speaker 4: And I mean this was like in twenty twenty three,

1631
01:26:30,000 --> 01:26:32,519
Speaker 4: So I mean, who knows, who knows how much that

1632
01:26:32,880 --> 01:26:33,120
Speaker 4: went on?

1633
01:26:33,560 --> 01:26:37,320
Speaker 1: You know, so the whole world's work. The whole world

1634
01:26:37,439 --> 01:26:38,000
Speaker 1: is that whack.

1635
01:26:38,960 --> 01:26:42,240
Speaker 4: Yeah. Rosier was in a final season of a four year,

1636
01:26:42,400 --> 01:26:47,040
Speaker 4: ninety six million dollars deal. Well, I mean, do you

1637
01:26:47,479 --> 01:26:48,320
Speaker 4: how much do you need?

1638
01:26:48,800 --> 01:26:51,599
Speaker 1: One hundred and thirty five million is what Rosier made.

1639
01:26:51,680 --> 01:26:53,840
Speaker 1: He was going to make twenty five million this year,

1640
01:26:54,720 --> 01:26:57,760
Speaker 1: twenty five million this year. And he does that so

1641
01:26:57,880 --> 01:26:59,760
Speaker 1: he can get a little kick back some from some

1642
01:27:00,040 --> 01:27:03,840
Speaker 1: amblers allegedly. I mean, come on, man, use your head,

1643
01:27:04,600 --> 01:27:06,920
Speaker 1: use your head whatever, seg get us out of this,

1644
01:27:07,439 --> 01:27:09,240
Speaker 1: get us out of the Stooge Report, so you can

1645
01:27:09,280 --> 01:27:13,240
Speaker 1: go hobnob with those celebrities. I'm sure that they're looking forward.

1646
01:27:13,040 --> 01:27:16,040
Speaker 4: To that, all right, ken brew in honor of a

1647
01:27:16,080 --> 01:27:18,200
Speaker 4: beautiful day here in the Price State. We leave you

1648
01:27:18,360 --> 01:27:21,559
Speaker 4: with the immortal words of the Stooge Report.

1649
01:27:26,320 --> 01:27:29,439
Speaker 1: We leave you with the immortal words of the Stooge Report.

1650
01:27:30,320 --> 01:27:30,600
Speaker 4: Thank you.

1651
01:27:31,880 --> 01:27:36,400
Speaker 1: There they are all right, see seg Yeah, safe travels

1652
01:27:36,439 --> 01:27:49,320
Speaker 1: back well, we'll rendezvu tomorrow. On seven hundred WLW two

1653
01:27:49,439 --> 01:27:53,479
Speaker 1: fifty five News Radio seven hundred WLW says a brand

1654
01:27:53,479 --> 01:27:55,679
Speaker 1: new Food Fighters song.

1655
01:27:57,120 --> 01:28:00,639
Speaker 3: Yi asking for a friend.

1656
01:28:08,479 --> 01:28:11,800
Speaker 1: Our producer Dave Keaton is very excited about this new album,

1657
01:28:12,960 --> 01:28:22,479
Speaker 1: says it's dark, depressing, nevertheless, it's brand new music the

1658
01:28:22,680 --> 01:28:27,639
Speaker 1: Foo Fighters. There's no bigger Food Fighter fan in this world.

1659
01:28:28,439 --> 01:28:30,519
Speaker 1: And the man who's standing by to join us right now,

1660
01:28:30,720 --> 01:28:35,920
Speaker 1: someone who understands the meaning of music in sports and relevancy,

1661
01:28:36,520 --> 01:28:38,080
Speaker 1: and a man that I am happy to say I

1662
01:28:38,160 --> 01:28:40,840
Speaker 1: am merely a bridge to and at the end of

1663
01:28:40,880 --> 01:28:42,720
Speaker 1: that bridge is not only a pot of gold and

1664
01:28:42,760 --> 01:28:46,120
Speaker 1: a Rainbow. But two little leprechauns named Eddie and Rocky,

1665
01:28:46,200 --> 01:28:49,960
Speaker 1: and they're taking over after I'm done. And Rocket, Jay boyman,

1666
01:28:50,000 --> 01:28:54,040
Speaker 1: how are you fresh back from calling that Middle Tennessee

1667
01:28:54,320 --> 01:28:56,960
Speaker 1: Delaware game last night. Let's let's see how Rocky did

1668
01:28:57,000 --> 01:28:59,720
Speaker 1: in this game? Analyzing something, Aron, let's a.

1669
01:29:00,200 --> 01:29:01,080
Speaker 4: You'll be the judge.

1670
01:29:01,479 --> 01:29:04,519
Speaker 3: We go it's I think the tip of that toe.

1671
01:29:05,240 --> 01:29:05,439
Speaker 6: Yeah.

1672
01:29:06,320 --> 01:29:08,680
Speaker 8: Now the fact that the call on the field was

1673
01:29:09,240 --> 01:29:11,639
Speaker 8: it was a catch. Now that that hangle right there.

1674
01:29:11,600 --> 01:29:15,840
Speaker 1: Looks like that toe. Yeah, hot analysis here from Rocket

1675
01:29:16,080 --> 01:29:16,760
Speaker 1: is I nailed that.

1676
01:29:16,880 --> 01:29:18,080
Speaker 2: By the way, Ken, I know.

1677
01:29:18,160 --> 01:29:18,600
Speaker 4: You did that.

1678
01:29:18,760 --> 01:29:19,519
Speaker 1: You got that right?

1679
01:29:19,640 --> 01:29:19,800
Speaker 5: You know.

1680
01:29:19,880 --> 01:29:22,439
Speaker 1: I I record all your games and looking which are

1681
01:29:22,439 --> 01:29:24,240
Speaker 1: the pertinent moments that I could play.

1682
01:29:24,160 --> 01:29:28,240
Speaker 8: When when you're not even my wife like watches these games, Ken,

1683
01:29:28,360 --> 01:29:30,600
Speaker 8: and but but you do. But by the way, it

1684
01:29:30,680 --> 01:29:32,519
Speaker 8: kind of went for a second. That game took four

1685
01:29:32,600 --> 01:29:36,320
Speaker 8: hours last night. And to quote Troy Aikman, nothing will

1686
01:29:36,400 --> 01:29:39,960
Speaker 8: ruin a broadcast more than those yellow flags that the

1687
01:29:40,120 --> 01:29:41,120
Speaker 8: officials throw.

1688
01:29:41,439 --> 01:29:43,840
Speaker 1: Yeah, that was over officiated last night. But it looked

1689
01:29:43,880 --> 01:29:45,760
Speaker 1: like a nice night in Delaware. He had fun with us.

1690
01:29:45,920 --> 01:29:49,880
Speaker 8: Beautiful first date. Yeah, Delaware. Joe Flacco, the whole tie in.

1691
01:29:50,000 --> 01:29:50,559
Speaker 8: There was great.

1692
01:29:51,040 --> 01:29:53,439
Speaker 1: Joe Biden played, you know, at the University of Delaware

1693
01:29:53,479 --> 01:29:55,479
Speaker 1: on the freshman team. Yeah, we did sixty one.

1694
01:29:55,560 --> 01:29:57,680
Speaker 8: We didn't get him into the broadcast last night.

1695
01:29:57,680 --> 01:29:58,360
Speaker 3: Maybe next time.

1696
01:29:58,560 --> 01:30:01,040
Speaker 1: Yeah, I don't know. He claimed games he played against

1697
01:30:01,040 --> 01:30:05,200
Speaker 1: the Ohio University freshman team in sixty one and got

1698
01:30:05,240 --> 01:30:07,439
Speaker 1: thrown out of one of the dorms there. He actually

1699
01:30:07,520 --> 01:30:10,280
Speaker 1: told my daughter that when she saw he was coming

1700
01:30:10,360 --> 01:30:13,040
Speaker 1: through Athens in two thousand it must have been two

1701
01:30:13,040 --> 01:30:16,000
Speaker 1: thousand and eight when he was campaigning, and related that

1702
01:30:16,160 --> 01:30:18,000
Speaker 1: story to her and a group of other people that

1703
01:30:18,080 --> 01:30:18,400
Speaker 1: were there.

1704
01:30:19,080 --> 01:30:20,200
Speaker 3: Sounds completely made up.

1705
01:30:20,360 --> 01:30:23,200
Speaker 1: Di I know, I have no doubt that he was

1706
01:30:23,800 --> 01:30:28,600
Speaker 1: FOS on that one. Yes, speaking of FOS, what's this

1707
01:30:28,760 --> 01:30:32,800
Speaker 1: gambit that the Democrats are playing trying? They blocked again

1708
01:30:33,080 --> 01:30:36,400
Speaker 1: just a clean bill that would just fund the military

1709
01:30:36,640 --> 01:30:39,800
Speaker 1: and fund the air traffic controllers, and they blocked it

1710
01:30:39,840 --> 01:30:43,280
Speaker 1: again today. I mean, why are they dying on these.

1711
01:30:43,200 --> 01:30:48,599
Speaker 8: Hills because they can't They can't vote to get things

1712
01:30:48,720 --> 01:30:50,880
Speaker 8: moving in the right direction because to do that they

1713
01:30:50,920 --> 01:30:53,960
Speaker 8: would have to side with some things that Trump wants,

1714
01:30:54,240 --> 01:30:57,720
Speaker 8: and they can never be seen agreen with anything that

1715
01:30:57,840 --> 01:31:01,120
Speaker 8: Trump ever stands for even if Trump's that the sky

1716
01:31:01,320 --> 01:31:03,320
Speaker 8: is blue, well they have to come out and said, no,

1717
01:31:03,400 --> 01:31:05,880
Speaker 8: it's actually, you know, purple or something like that. So

1718
01:31:06,479 --> 01:31:08,960
Speaker 8: and the American people are the ones that suffer, especially

1719
01:31:09,000 --> 01:31:09,839
Speaker 8: the government employees.

1720
01:31:10,320 --> 01:31:12,360
Speaker 1: Well, no, I agree on hundred percent. The only thing

1721
01:31:12,400 --> 01:31:14,720
Speaker 1: that's purple, by the way, is that woman's hair from

1722
01:31:14,800 --> 01:31:18,160
Speaker 1: where she from Rhode Island. That's the Democrat representative. That's

1723
01:31:18,200 --> 01:31:21,479
Speaker 1: about the only thing that's that's purple. But the you know,

1724
01:31:21,600 --> 01:31:24,160
Speaker 1: the fact of the matter is is it's it's going

1725
01:31:24,240 --> 01:31:26,280
Speaker 1: to start to get real for a lot of people here.

1726
01:31:26,960 --> 01:31:30,559
Speaker 1: And why they choose to do things the way they

1727
01:31:30,720 --> 01:31:34,040
Speaker 1: do to block Trump. Now there's a Democrat that's running

1728
01:31:34,040 --> 01:31:37,280
Speaker 1: around saying they want to put trackers on ice agents.

1729
01:31:38,840 --> 01:31:41,640
Speaker 1: This is a political party that I once admired a

1730
01:31:41,720 --> 01:31:45,000
Speaker 1: lot of people that it is devoid of any ideas

1731
01:31:45,160 --> 01:31:49,960
Speaker 1: except get Trump, Stop Trump, Orange Mad Band, bad get Trump.

1732
01:31:50,200 --> 01:31:52,759
Speaker 1: They have nothing else to offer, Rocky nothing.

1733
01:31:53,280 --> 01:31:53,320
Speaker 3: No.

1734
01:31:53,520 --> 01:31:57,960
Speaker 8: They start with the determination that Trump is wrong, and

1735
01:31:58,040 --> 01:32:00,880
Speaker 8: then they work backwards and trying to find somehow, some

1736
01:32:01,040 --> 01:32:05,240
Speaker 8: way to make even the smallest, slightest case that that's true.

1737
01:32:05,439 --> 01:32:09,360
Speaker 8: And again the country suffers, and it's killing them by

1738
01:32:09,439 --> 01:32:13,920
Speaker 8: the day, though, Ken, because their their stances are increasingly

1739
01:32:14,080 --> 01:32:17,639
Speaker 8: more and more ridiculous. And thankfully now there's more news

1740
01:32:17,760 --> 01:32:20,000
Speaker 8: on on social media and people can go to some

1741
01:32:20,080 --> 01:32:22,679
Speaker 8: more trusted sources and find the truth on some things.

1742
01:32:22,720 --> 01:32:27,280
Speaker 8: The legacy media has zero power anymore. So it's it's

1743
01:32:27,560 --> 01:32:29,760
Speaker 8: that they think they're fighting back, but they're they're really

1744
01:32:29,920 --> 01:32:33,200
Speaker 8: killing their own cause here. And I mean the latest

1745
01:32:33,240 --> 01:32:36,360
Speaker 8: one is the the they're just losing their mind over

1746
01:32:36,880 --> 01:32:39,559
Speaker 8: Trump's construction of a ballroom in the White House, which

1747
01:32:39,600 --> 01:32:42,800
Speaker 8: that might happened what four or five times in history.

1748
01:32:42,920 --> 01:32:45,960
Speaker 1: It's ridiculous. You line ten people up on Fountain Square

1749
01:32:46,000 --> 01:32:48,000
Speaker 1: and ask who's upset about it, and you won't get

1750
01:32:48,040 --> 01:32:51,320
Speaker 1: one person to say yes, lockt, I gotta go. Apparently

1751
01:32:51,400 --> 01:32:53,880
Speaker 1: Chauncey Phillips can't make his card game, so they need

1752
01:32:53,960 --> 01:32:56,080
Speaker 1: me to sit in. It's a big story, Ken, We

1753
01:32:56,160 --> 01:32:59,000
Speaker 1: got to get the bottom of this there. I don't

1754
01:32:59,000 --> 01:33:01,080
Speaker 1: want to cut into anymore your time. You guys have

1755
01:33:01,200 --> 01:33:03,599
Speaker 1: a great show, as you always will when you're together,

1756
01:33:03,720 --> 01:33:05,679
Speaker 1: and you and I will visit down the road, my friend.

1757
01:33:05,720 --> 01:33:08,559
Speaker 1: Thank you sounds good, Ken. Thanks That duo is standing

1758
01:33:08,640 --> 01:33:11,240
Speaker 1: by next on seven hundred W l W