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Speaker 1: I'm feeling good, casey good. I'm feeling good, feeling good,

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Speaker 1: looking good. It seems like humanity is starting to catch

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Speaker 1: on to what a nightmare AI is becoming and how

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Speaker 1: it's going to screw all of us in the end.

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Speaker 2: Are you afraid of it?

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Speaker 1: Well? Like it's like, are you afraid of the dark?

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Speaker 2: Like?

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Speaker 1: I mean, I just know how it's going to end, right,

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Speaker 1: I mean if you look at like, just take our

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Speaker 1: industry for example, Matt Matt Hibblin and I are our boss.

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Speaker 1: We were having this conversation because he's an old timey

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Speaker 1: radio guy like I am, you know, and we're talking

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Speaker 1: about how technology is what.

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Speaker 2: If you guys are old timey.

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Speaker 1: Well, you know, I'm saying we've been in this business,

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Speaker 1: you know, longer than a decade, right, And we were

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Speaker 1: talking about how much the business itself has changed, and

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Speaker 1: the role that technology played in so much of that. Right,

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Speaker 1: And we've talked about a variety of different things. But

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Speaker 1: even in the pre artificial intelligence days, technology d radically

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Speaker 1: changed the radio industry, and not for the better. Technology

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Speaker 1: was a big reason that corporations took over our industry.

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Speaker 1: Big reason corporations took over the television industry because you

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Speaker 1: can program and you experienced this, right, Yeah, you were

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Speaker 1: once on a radio show that was heard in what

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Speaker 1: sixteen different markets?

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Speaker 2: Are sixteen markets here? Right?

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Speaker 1: And because and we talked about this before, you've got

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Speaker 1: people in different cities that are doing breaks for here

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Speaker 1: in Indianapolis, right. And that's when the corporations, as technology

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Speaker 1: began to take over in the mid to late nineties

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Speaker 1: and said, hey, we can run twenty radio stations for

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Speaker 1: what it costs used to cost to run three radio

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Speaker 1: stations right now. Doesn't mean they're run better, doesn't mean

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Speaker 1: the programming is better, doesn't mean the content's better, doesn't

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Speaker 1: mean it's serving the community better, which was always the

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Speaker 1: premise of community radio and television. You're supposed to serve

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Speaker 1: the community. It's why they still give you the station

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Speaker 1: id right. Well, oftimes, the station idea has nothing to

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Speaker 1: do with where the thing is physically located anymore. And

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Speaker 1: obviously we have just seen that play out in this industry.

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Speaker 1: It's been for many, many people, the death of their employment,

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Speaker 1: the death of careers in radio, television, you name it.

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Speaker 1: And we've seen this in a variety of fields. Right

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Speaker 1: as technology has come in it has made the human

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Speaker 1: element completely unnecessary. It's put people out of work. Oftentimes

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Speaker 1: it's people who have spent decades in careers, fields, whatever,

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Speaker 1: and now you're just putting it on some sort of

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Speaker 1: megasteroid with this artificial intelligence, and within five years there's

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Speaker 1: gonna be a lot of people that aren't going to

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Speaker 1: be necessary anymore.

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Speaker 2: Yeah. Absolutely, so this is just the next evolution. I

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Speaker 2: can recall as a young baby disc jockey, and that's

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Speaker 2: why they call them disc jockeys because you spun platters

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Speaker 2: either do you actually wouldn't you are albums?

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Speaker 1: Are you old enough that you actually spun records? You

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Speaker 1: never spun records? Yes they did, Oh you did not.

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Speaker 2: AM fourteen ninety WSDS, SUDDS Country.

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Speaker 1: They didn't have CDs.

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Speaker 2: Well, it was integrated, so that was the next level

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Speaker 2: things went digital. On the compact disc.

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Speaker 1: You actually put a record on a record player and

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Speaker 1: played it on the radio.

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Speaker 2: Yes, no kidding, Yeah, I didn't know you were that.

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Speaker 2: You queue it up and then you gotta slide it

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Speaker 2: back just a little bit so that when you hit

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Speaker 2: the podcast on, it's caught its speed up.

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Speaker 1: There was there was a time where you used to

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Speaker 1: have a have to have a broadcaster's license. Did you

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Speaker 1: ever actually get had to.

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Speaker 2: Get an actual I'm FCC certified.

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Speaker 1: Oh, you had to get the actual license it. I

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Speaker 1: don't think I've even gone into radio. If I'd known

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Speaker 1: there would have been paperwork involved in it. I just

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Speaker 1: had to walk right in to the portal.

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Speaker 2: Now it's no big deal. But this is just the

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Speaker 2: next evolution, because it was you know, it went from

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Speaker 2: the albums and the forty fives to the digital era

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Speaker 2: with the CDs, and then the automation when everything went

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Speaker 2: from CDs to MP three's and computerized.

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Speaker 1: So to answer your question, and I know we went

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Speaker 1: about this in the long way, but if I'd have

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Speaker 1: been in radio, like I'm not trying to be facetious

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Speaker 1: when to say this, Matt, Matt and I have talked

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Speaker 1: about this quite a bit. I was born in the

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Speaker 1: wrong like time. If I could have been in radio

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Speaker 1: in the nineteen eighties, I'd been a millionaire, like because

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Speaker 1: of how radio was paid, how the personalities were propped up,

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Speaker 1: the endorsement opportunities, et cetera. Like the business has just changed.

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Speaker 1: I do fine, right, Like I'm not in a soup line.

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Speaker 1: But twenty years makes or thirty years makes a world

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Speaker 1: of difference in a technological an industry that's been totally

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Speaker 1: taken over in many cases by technology. And so to

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Speaker 1: answer your question on this, I'm not afraid of Like,

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Speaker 1: I don't think it's going to be like Terminator right

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Speaker 1: away where the robots take over humanity or launched the

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Speaker 1: launched the big One. But I do worry in a

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Speaker 1: thriving country, countries that do will have a thriving middle

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Speaker 1: class in which the middle class is continuously being lifted up.

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Speaker 1: And what we've seen in this country is the tippy

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Speaker 1: top people do disgustingly well, and yet the middle class

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Speaker 1: is moving downward. And countries that have great wealth divides

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Speaker 1: usually end up in turmoil. And that is what I fear.

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Speaker 1: That this technological advance is too rapid, its two pass

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Speaker 1: and is going to displace too many people who won't

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Speaker 1: be able to have a buffer zone to acquire necessary

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Speaker 1: skill sets to continue to maintain their middle class stature, right.

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Speaker 2: And that's part of it. You have to keep those

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Speaker 2: skill sets going. And you have no idea what we

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Speaker 2: see AI today what it will be in four years

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Speaker 2: from now. No, we use radio as an example, so

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Speaker 2: we're already seeing the next evolution. There's Alpha Media, which

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Speaker 2: is a big company. They have AI disc jockeys. It's

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Speaker 2: not even a human anymore talking on the air. But

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Speaker 2: according to this Reuter's poll, seventy one percent of Americans

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Speaker 2: they're concerned the AI will permanently replace too many jobs.

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Speaker 2: They're also very concerned that it's going to stir up

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Speaker 2: political chaos, especially through deep fake videos. We've heard a

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Speaker 2: lot about that recently, and an example would be you

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Speaker 2: might recall Donald Trump shared an AI generated video of

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Speaker 2: Barack Obama being arrested. Yes, well that was an event

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Speaker 2: that actually never occurred, Yes, but its sure did look real.

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Speaker 1: Well, and you know, my wife works in this field,

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Speaker 1: not in the field of artificial intelligence, but in the

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Speaker 1: technology field, and she deals with this stuff quite a bit.

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Speaker 1: And she said, the thing people don't realize right now

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Speaker 1: is AI is stupid. She said, people like, it looks

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Speaker 1: great to the average person, but she's take to people

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Speaker 1: like me who see it in the the behind the scenes,

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Speaker 1: for lack of a better term, She's like, AI is

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Speaker 1: really stupid. She said, in the next five years, AI

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Speaker 1: is going to get I think you guys have had

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Speaker 1: this conversation before that, AI is going to get and

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Speaker 1: once I get smart, all bets are off. And that

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Speaker 1: is what humanity is not ready for. Is this because

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Speaker 1: it's continuously learning. It is like the movies in the

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Speaker 1: sense it is continually teaching itself. It's growing, it's evolving,

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Speaker 1: and it will surpass humans at some point. I don't

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Speaker 1: know when that will be, but that's going to be

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Speaker 1: a real danger.

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Speaker 2: Yep. So Americans are very divided on it, and like

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Speaker 2: you said, seventy one percent are fearing that it's going

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Speaker 2: to replace their job. I believe it was Pope Leo

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Speaker 2: who was saying that it was one of his top

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Speaker 2: priorities because of its dehumanization ability.

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Speaker 1: Sure. No, absolutely, So to answer your question, no, I

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Speaker 1: don't fear it like it's going to get me in

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Speaker 1: the middle of the night. I fear it though that

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Speaker 1: it is going to create in immense chaos on our economy.

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Speaker 1: And it's one thing to say to people, Hey, ten

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Speaker 1: years from now, the landscape's going to look different than

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Speaker 1: it does. You need to get some sort of secondary

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Speaker 1: edge cation or skill set or whatever and give people

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Speaker 1: and society and our education system itself time to prepare

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Speaker 1: and train people. This is in real time. Two years

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Speaker 1: from now, things are going to be different than they

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Speaker 1: much different than they are today. Societies are like dinosaurs, right,

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Speaker 1: They're not meant to evolve quickly. They're slow, right, Like

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Speaker 1: there's preparation things. Things happen the Internet, Like we didn't

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Speaker 1: just wake up one day and everybody had Facebook. There

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Speaker 1: was an evolution of that. There was an evolution of

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Speaker 1: social media, from dial up to email to all that stuff. Right,

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Speaker 1: this is like it's just smacking together in real time.

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Speaker 1: And I just don't think I don't think people are ready.

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Speaker 2: According to this poll, sixty one percent of people are

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Speaker 2: concerned about the electricity demand. Oh yeah, boy, wou priored

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Speaker 2: to power AI? And it's everybody's I think, has a

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Speaker 2: different take on this right now. I just saw an

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Speaker 2: article yesterday. It was up on Drudge and the title

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Speaker 2: of the article was, have we reached the AI pinnacle?

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Speaker 2: It's like the AI bust. It's over. This is as

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Speaker 2: far as it's going to go. And then you hear

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Speaker 2: from other people saying, oh, no, you have no idea

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Speaker 2: what things are going to look like in four years.

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Speaker 2: Oh no, nobody knows.

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Speaker 1: No, you're no, it's we're in big trouble, but we'll

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Speaker 1: do it together as long as they need us, until

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Speaker 1: they can have AI people do talk radio, then we'll

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Speaker 1: do it together. All right, Okay, when we come back

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Speaker 1: tomorrow night, Casey is a big night here in central Indiana.

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Speaker 1: Across the state of Indiana, high school football is back.

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Speaker 3: Yes.

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Speaker 1: And you know, I was thinking because when I was

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Speaker 1: growing up, high school football in Indiana was like an

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Speaker 1: also ran, Like yeah, there are people went to the

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Speaker 1: games and it was fine, but it was always just

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Speaker 1: this like precursor to high school basketball. Everyone's like, let's

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Speaker 1: just get through the fall, let's get to the winner.

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Speaker 1: Basketball's back, baby, And now high school football is the thing.

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Speaker 1: I mean, thousands of people in every community across the

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Speaker 1: state that has a home football game tomorrow night are

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Speaker 1: gonna be flooding in. Football is now king. And I thought,

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Speaker 1: let's get some perspective on why Indian has changed in

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Speaker 1: the sports landscape, and let's talk about there's going to

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Speaker 1: be some great teams. Our old pal, yeah, John Herrick,

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Speaker 1: the news director, excellent. He is mister high school football

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Speaker 1: broadcaster man. He does the Bob Lovel Show, and now

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Speaker 1: we're Indiana. He's going to join us next to talk

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Speaker 1: about what's going on in high school football.

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Speaker 2: It's Kennelly Casey on ninety three WIBC.

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Speaker 1: Casey tomorrow night. High school football is back in the

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Speaker 1: state of Indiana. High school football is king now at

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Speaker 1: various fine public and private institutions across the state of Indiana.

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Speaker 1: Thousands of people will be flooding in.

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Speaker 2: And I want to know, were you an athletic supporter

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Speaker 2: or an athlete?

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Speaker 1: I was in the student newspaper I wrote this will

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Speaker 1: shock you. Yeah, I was infamous for writing very critical

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Speaker 1: articles about the sports teams.

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Speaker 2: Do you get bullied for that?

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Speaker 1: No, because they knew I'd just write something worse about

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Speaker 1: him the next month. John Herrick, News director e Stordina

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Speaker 1: here at WIBC jointed now because you are an acclaimed,

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Speaker 1: award winning sports broadcaster on Friday nights.

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Speaker 4: Well, I don't know about that, but it is a

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Speaker 4: passion of mine. I've been doing it since really college.

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Speaker 4: I was at you know, when I was at De

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Speaker 4: Paul University, we did a Putnam County Game of the

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Speaker 4: week on WGR. We'd go to Greencastle, Monrovia, North Putt,

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Speaker 4: South Putnam, wherever we wanted to go, and that's where

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Speaker 4: it all started. And I did it, you know, in Montana, Oklahoma,

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Speaker 4: and now I'm back here doing it again.

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Speaker 1: For I s we are of similar age. I am

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Speaker 1: a few years older than you. But when we were kids,

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Speaker 1: as I just alluded to last segment of Casey, basketball

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Speaker 1: was king. Football was just sort of like something that

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Speaker 1: we just wasted time to get to basketball. And now

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Speaker 1: football has permanently taken over as king of everything.

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Speaker 4: How and why did that happen? I think a couple

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Speaker 4: of reasons. One, all these schools have made a ton

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Speaker 4: of investments in their sports program. I know I'm going

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Speaker 4: to probably trigger Rob when I say this, Casey, but

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Speaker 4: there have been there for end of money at some schools.

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Speaker 1: The tax pairents. You're right, exactly, The money fairy did

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Speaker 1: not do this. We have done this.

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Speaker 4: I know that a lot of schools have made upgrades

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Speaker 4: to their football infrastructure. They've gotten video boards, they've gotten

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Speaker 4: all kinds of really cool gadgets and gizmos, and fans

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Speaker 4: love that. I also think that fans, at least from

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Speaker 4: what who I talk with, they're so irritated by either

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Speaker 4: the NFL or the college football landscape. With the NIL

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Speaker 4: and transfer portal that I think that they feel that

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Speaker 4: high school football is like the last pure thing left

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Speaker 4: that they feel is not as corrupted by money as

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Speaker 4: college or the NFL. So I think, like Friday nights,

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Speaker 4: people feel like is is sacred to them. That's why

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Speaker 4: you have such great attendance.

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Speaker 1: Now, Yeah, because when I first started broadcasting high school

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Speaker 1: football games back in the dark ages, many many years ago,

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Speaker 1: it was like people went. The people that were there

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Speaker 1: were passionate, but they were often horribly maintained grass field

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Speaker 1: and there was some bad high school track around the

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Speaker 1: stadium and you were hoping the bleachers and the press

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Speaker 1: box didn't cave in. And Nowah, especially in the Central

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Speaker 1: Indiana school districts, their stadiums are literally better than college stadiums.

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Speaker 4: Yeah, you're absolutely right. I mean, it's funny you say that,

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Speaker 4: because I can't tell you how many times I've been

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Speaker 4: to high school football complexes in Indiana or Oklahoma or

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Speaker 4: Texas that are better than some of the other colleges

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Speaker 4: I've been to. And it's because people. I think when

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Speaker 4: we were kids, people complained about how bad those facilities were,

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Speaker 4: and that is what got the ball rolling towards more investment.

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Speaker 1: As usual, we sacrificed, we crawled, so that others may

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Speaker 1: now Olympic sprint. Yeah.

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Speaker 2: Yes, two hundred and fifty five high schools have football teams.

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Speaker 2: You've got what six tiers of classes. Do you think

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Speaker 2: part of the popularity is because obviously a football team

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Speaker 2: is much larger than a basketball team, more people can anticipate.

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Speaker 4: Yeah, I definitely think it's part of it. And then

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Speaker 4: you do have the tailgate atmosphere behind it, you know

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Speaker 4: where people can just I mean I go to these

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Speaker 4: parking lots on Friday nights walking into the stadium and

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Speaker 4: it's just a full on party.

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Speaker 1: Do people recognize you? Do they offer you a cold

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Speaker 1: beer on your way into the stadium, Hey, that's newsman

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Speaker 1: John Herrick.

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Speaker 4: They absolutely do not, nor do they care. They might

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Speaker 4: notice me if I have my ISC shirt on, because

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Speaker 4: Greg Reigstraw and the great folks at the ISIC Sports

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Speaker 4: Network have grown that brand into something really special. But

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Speaker 4: I also think that people there are so many streaming

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Speaker 4: options that people can use, so if they can't make

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Speaker 4: it to the game, they don't necessarily have to pay.

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Speaker 4: Sometimes they do, but there's a lot of free options

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Speaker 4: to watch the game if you can't make it. I

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Speaker 4: think that's also helped.

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Speaker 1: You know who one of the original sports streamers for

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Speaker 1: high school sports in Indianas Casey.

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Speaker 2: Was it Robcastery.

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Speaker 1: It was me Audio Sports Online. I had like one

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Speaker 1: hundred schools. I have been displaced by taxpayer funded technology.

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Speaker 1: They put me out of a job.

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Speaker 2: Yeah, just like a all.

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Speaker 1: Right, so you do television for a group called Internet

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Speaker 1: Television for a group called ISC. Yes, and it's like

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Speaker 1: a big It's not just like some guy in the

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Speaker 1: press box with the handheld camera, like it's a big hole, hey, Rube,

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Speaker 1: Like you got on field cameras and everything.

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Speaker 4: Yes, Yeah, And it goes to a truck and there's

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Speaker 4: a guy running replay. It's yeah, there's several camera operators

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Speaker 4: on site. It's really cool.

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Speaker 1: Is it? Like? I hated doing play by play on

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Speaker 1: television because I like to talk and aren't you supposed

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Speaker 1: to like let the picture tell the story? Is it

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Speaker 1: hard to be a television play by play man?

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Speaker 4: There is, there's a lot of nuance to it. But

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Speaker 4: one of my favorite broadcasting veterans is Kevin Harlan, and

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Speaker 4: I've always been very impressed with how he can do

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Speaker 4: both radio and TV, so I've tried to like really

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Speaker 4: lean into that, and I have had to work with

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Speaker 4: a couple of talent coaches on how to do TV

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Speaker 4: because they're like, you're talking too much this, oh yeah,

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Speaker 4: so you have to learn to dial it back. And

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Speaker 4: then also like once you describe the play, let the

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Speaker 4: analyst jump in and break down why that happened, and

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Speaker 4: then the replay can do the rest.

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Speaker 1: John Herrick is our guest. We're talking about high school

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Speaker 1: fotball begins tomorrow night, Casey. You know, I had it

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Speaker 1: down to such a science. At one point, I was

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Speaker 1: capable of running my own camera. I had a headset

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Speaker 1: and I could do play by play and if somebody

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Speaker 1: didn't show up, this was to run the camera. I

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Speaker 1: could do all the things at the same time.

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Speaker 2: You're like the musician who plays the drums and guitar

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Speaker 2: in harmonica and.

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Speaker 1: Sing might be part of why I went out of business.

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Speaker 1: All right, So John, you you cover all these schools

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Speaker 1: here in Central Indiana. Who are some of the teams

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Speaker 1: this year that people are going to be focused on?

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Speaker 4: The ones in Central Indiana that I think are going

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Speaker 4: to be the biggest ones to look out for I'm

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Speaker 4: going to trigger brob again here, Casey. But Brownsburg, well, I.

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Speaker 1: Mean, we've spent nine to jillion dollars on the football

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Speaker 1: stadium and we have a second football stadium. Now did

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Speaker 1: you know this? They built a second football stadium on

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Speaker 1: a practice field right next to the football stadium, so

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Speaker 1: in case, I guess, I don't know, if the football

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Speaker 1: game spills out of the current stadium, it can continue

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Speaker 1: on the next Why why would you need two football stadiums?

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Speaker 1: What possible reason would there be for two.

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Speaker 2: Versus?

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Speaker 1: That's what it is? Yeah, boy, howdy we anyway, so

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Speaker 1: we're funding one of the best teams known demand there

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Speaker 1: in the town of Brownsburg. That's great.

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Speaker 4: They were thirteen and one last year, have a lot

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Speaker 4: of people back, so I'm sure they'll be good again.

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Speaker 4: Center Grove who came close to beating Brownsburg and has

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Speaker 4: a lot of people back. They'll be a contender in

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Speaker 4: six A New Palestine. Shocker to hear say this. I

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Speaker 4: mean they had to move up to class at five

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Speaker 4: A because they won the four A state championship.

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Speaker 1: They got eighteen.

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Speaker 4: Starters back, so eighteen yeah, yeah, Kyle Ralph has just

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Speaker 4: they just it seems like they reload at New Pallette here.

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Speaker 1: How did they choose what games you go do? Are

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Speaker 1: they like Herrick, you want this game or anything? No,

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Speaker 1: I don't know, that's gonna be boring. I have a

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Speaker 1: little bit of a choice. But it's also based on

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Speaker 1: what they can sell and what the what the sales

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Speaker 1: team can do, and also where they might be established.

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Speaker 1: So if they're if I sees.

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Speaker 4: Like, hey, we got a really good audience up in

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Speaker 4: the northern part of the state or up in the

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Speaker 4: southern out in the southern part of the state, we

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Speaker 4: might have to send you there.

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Speaker 1: It just kind of all depends. There's a lot of circumplances.

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Speaker 1: One of the reasons I had to get out of

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Speaker 1: this case, he was, you know, I don't like to

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Speaker 1: leave my house and Friday night, well, the Friday night

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Speaker 1: football thing. It's why I stopped going to the to

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Speaker 1: the games is it's an eyemare. It takes like an

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Speaker 1: hour to get in, an hour to get out. You

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Speaker 1: got to get there an hour early. It's like a

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Speaker 1: seven or eight hour endeavor. And there's people people. Oh yeah, yeah,

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Speaker 1: those people.

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Speaker 2: John, do you ever follow any teams in other parts

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Speaker 2: of the state?

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Speaker 1: Yeah.

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Speaker 4: So I've done a lot of games at like Cascade

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Speaker 4: or I still follow teams in Putnam County just because

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Speaker 4: I went to DePaul University and is in Putnam County.

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Speaker 4: One story that I'm fascinated to see if this will

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Speaker 4: go well this year is North Central. I'm going to

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Speaker 4: be covering them a lot. They have had three straight

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Speaker 4: seasons where they have gone winless. Oh, but they have

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Speaker 4: a new coach turning around that they He is talking confidently,

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Speaker 4: maybe not Kurt Signetti level talking confidently, but he is

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Speaker 4: speaking like, Hey, we got leadership here. We can turn

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Speaker 4: things around. And it'll be interesting to see if they

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Speaker 4: can break the streak. And the first game that I

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Speaker 4: have tomorrow night is them playing against Rebuff. Rebuff lost

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Speaker 4: some people, they'll be down a little bit. North Central

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Speaker 4: be a little bit better, so they have a chance

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Speaker 4: to break the streak right off the bat.

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Speaker 1: Do you think because I saw this in West Virginia,

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Speaker 1: maybe it was where they're proving some sort of nil.

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Speaker 1: Do you think that's ever gonna happen here, that high

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Speaker 1: school kids are gonna be able to be paid to

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Speaker 1: play high school sports.

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Speaker 4: I don't get the sense. Again, I don't know the

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Speaker 4: IHSA Commissioner, Paul Knidig super well. But I know him

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Speaker 4: well enough to hear him when he talks about that stuffs.

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Speaker 4: He seems very apprehensive about it. And he's only open

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Speaker 4: to transferring kids transferring to a different school if it's

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Speaker 4: like they full on moved or they had a really

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Speaker 4: good reason for moving out of one area into another

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Speaker 4: one so that they would allow a kid to transfer

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Speaker 4: to play to different school. But man paying high school

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Speaker 4: football players or high school athletes in Indiana, that seems

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Speaker 4: like a bit of a stretch at this point, but

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Speaker 4: you never know. It seemed like a stretch for college

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Speaker 4: players at one point. And here we are.

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Speaker 1: Where can people find you, like on the internet tomorrow

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Speaker 1: night if they're like, I need more John Herrick in

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Speaker 1: my life. The newscast is just not enough. Give me

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Speaker 1: some football.

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Speaker 4: John Herrick is Sportsnetwork dot com or you can download

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Speaker 4: the ISIC app IIC Sports Network app and you can

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Speaker 4: watch games for free on there.

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Speaker 1: So John Herrick, thank you, Thank you, guys.

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Speaker 2: Thanks you're listening to Kendall and Casey. It's ninety three WIBC.

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Speaker 3: So there's an update on the Herb Baumeister case, which

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Speaker 3: sounds weird because he's been no longer with us for

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Speaker 3: a very long time, but just a reset for people

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Speaker 3: who don't know herb Bowmeister is a famed.

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Speaker 1: Serial killer.

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Speaker 2: Yeah, I believed to have killed dozens of men in

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Speaker 2: the nineties.

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Speaker 1: Lived up in Westfield and at the time was a

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Speaker 1: very secluded area, and he was alleged to have not

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Speaker 1: only killed they killed these gay men, but also lured

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Speaker 1: them to his home and then disposed of their bodies

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Speaker 1: on his property. And there have been documentaries made about this.

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Speaker 1: I mean, he is It's fascinating and I don't know why,

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Speaker 1: but Baumeister, other than here locally, doesn't get near the

436
00:21:22,440 --> 00:21:27,160
Speaker 1: attention gay c or Bundy or Richard Ramirez, even though

437
00:21:27,320 --> 00:21:30,280
Speaker 1: he's alleged to have killed as many are more people

438
00:21:30,320 --> 00:21:32,479
Speaker 1: than these these these guys did, I mean the amount

439
00:21:32,480 --> 00:21:34,440
Speaker 1: of bodies they've been able to find on that property

440
00:21:34,960 --> 00:21:39,320
Speaker 1: over the years has been a staggering, staggering amount. One

441
00:21:39,359 --> 00:21:41,720
Speaker 1: of the issues they've run into is trying to identify

442
00:21:41,960 --> 00:21:49,639
Speaker 1: who were the victims were. And the current coroner in

443
00:21:49,720 --> 00:21:51,760
Speaker 1: Hamilton County is a guy by the name of Jeff Jealous,

444
00:21:51,840 --> 00:21:54,600
Speaker 1: and he's been all over news reports documentaries. I think

445
00:21:54,640 --> 00:21:58,359
Speaker 1: Hulu had a big thing a while ago about this.

446
00:21:58,920 --> 00:22:02,240
Speaker 1: He has really taken an interest in this case and

447
00:22:02,640 --> 00:22:06,520
Speaker 1: has done what he can to one try to keep

448
00:22:06,520 --> 00:22:09,359
Speaker 1: the story alive, to try to figure out who these

449
00:22:09,680 --> 00:22:17,320
Speaker 1: people are, but also invoke help from universities, outside groups,

450
00:22:17,359 --> 00:22:20,879
Speaker 1: et cetera to help identify who these these victims are.

451
00:22:20,960 --> 00:22:24,480
Speaker 1: And now there's a new group, a new nonprofit that

452
00:22:24,560 --> 00:22:27,720
Speaker 1: is stepping up to try to help identify these remains

453
00:22:27,800 --> 00:22:29,240
Speaker 1: found on Baumeister's farm.

454
00:22:29,640 --> 00:22:33,000
Speaker 2: Yeah, so the Corner's Office they partnered with gen Genie's.

455
00:22:33,119 --> 00:22:36,840
Speaker 1: Is that what it is gen Genies. I think that's

456
00:22:36,880 --> 00:22:40,240
Speaker 1: how it's pron genies g E N G E n

457
00:22:40,280 --> 00:22:40,960
Speaker 1: I E S.

458
00:22:41,200 --> 00:22:43,520
Speaker 2: Yeah. So, as you mentioned, it's a nonprofit and they

459
00:22:43,560 --> 00:22:49,400
Speaker 2: specialize in investigative genetic genealogy. Trying to speed up the

460
00:22:49,520 --> 00:22:54,359
Speaker 2: victim identification. They're working on the case for free, and

461
00:22:54,400 --> 00:22:57,960
Speaker 2: they're using DNA and also family trees to help identify

462
00:22:57,960 --> 00:23:01,960
Speaker 2: the victims. So at least sevenineen sets of human remains

463
00:23:02,400 --> 00:23:06,800
Speaker 2: have been found at this Fox Hollow farm. Ten of

464
00:23:06,840 --> 00:23:10,919
Speaker 2: the victims have been identified. They're reporting that three more

465
00:23:11,320 --> 00:23:15,040
Speaker 2: are being close to being named through this DNA analysis

466
00:23:15,080 --> 00:23:17,840
Speaker 2: and genealogy, So that means that there are at least

467
00:23:18,520 --> 00:23:20,639
Speaker 2: four that are still up in question.

468
00:23:20,800 --> 00:23:22,880
Speaker 1: Well, what was interesting about this? And, like I said,

469
00:23:23,000 --> 00:23:25,840
Speaker 1: the Hulu documentary kind of went into this a little bit,

470
00:23:25,960 --> 00:23:32,120
Speaker 1: but one of the issues they had is because there

471
00:23:32,200 --> 00:23:36,879
Speaker 1: was not a societal acceptance of the gay lifestyle like

472
00:23:36,920 --> 00:23:40,240
Speaker 1: there is today. Like I'm not talking about what your

473
00:23:40,240 --> 00:23:43,000
Speaker 1: personal beliefs are on the topic. I'm talking about like

474
00:23:43,520 --> 00:23:47,040
Speaker 1: people used to literally get beaten for their you know,

475
00:23:47,040 --> 00:23:48,960
Speaker 1: if it came out they were gay, et cetera. So

476
00:23:49,040 --> 00:23:55,479
Speaker 1: a lot of people hid that lifestyle publicly. It made

477
00:23:55,600 --> 00:24:05,240
Speaker 1: them more susceptible to being seduced into unsavory circumstances like

478
00:24:05,280 --> 00:24:10,000
Speaker 1: this because they were not living publicly, but also because

479
00:24:10,040 --> 00:24:12,639
Speaker 1: of that life so their family knew about it or whatever.

480
00:24:13,680 --> 00:24:19,040
Speaker 1: The reporting mechanism of someone going missing was not what

481
00:24:19,080 --> 00:24:22,919
Speaker 1: it is today the police because of the stigma with

482
00:24:22,960 --> 00:24:25,240
Speaker 1: the lifestyle. This is what happened with a lot of

483
00:24:25,240 --> 00:24:28,480
Speaker 1: the gay sy stuff, right where you'd report some kid

484
00:24:28,600 --> 00:24:31,280
Speaker 1: going missing and the police are like, ah, that's just

485
00:24:31,280 --> 00:24:34,119
Speaker 1: some transient runaway or oh well he was into so

486
00:24:34,240 --> 00:24:37,800
Speaker 1: and so so whatever. The police weren't on it. Probably

487
00:24:37,880 --> 00:24:39,240
Speaker 1: the way they should have been. I think some of

488
00:24:39,280 --> 00:24:41,119
Speaker 1: the people who were around at the time even admitted that,

489
00:24:41,200 --> 00:24:43,240
Speaker 1: not that anybody was doing anything malicious, but you got

490
00:24:43,240 --> 00:24:45,439
Speaker 1: a pile of paperwork and you're just getting to what

491
00:24:45,480 --> 00:24:48,400
Speaker 1: you get to. So a lot of these people who

492
00:24:48,440 --> 00:24:54,120
Speaker 1: may be these victims, their family members never can't afford

493
00:24:54,160 --> 00:24:55,720
Speaker 1: or they're not on the radars what I'm saying, they're

494
00:24:55,720 --> 00:24:57,040
Speaker 1: not on the radar of it could be this person.

495
00:24:57,160 --> 00:24:58,800
Speaker 1: So when they're trying to do this DNA stuff, one

496
00:24:58,800 --> 00:25:00,000
Speaker 1: of the things they're running into is you've got to

497
00:25:00,160 --> 00:25:02,560
Speaker 1: a sample to work off of, You've got to have

498
00:25:02,760 --> 00:25:04,720
Speaker 1: a family member to work off of to try to

499
00:25:04,760 --> 00:25:08,760
Speaker 1: trace does this person's DNA match with any of these

500
00:25:09,119 --> 00:25:11,359
Speaker 1: body parts that we have found these victims that we

501
00:25:11,400 --> 00:25:12,400
Speaker 1: have found on the property.

502
00:25:13,080 --> 00:25:15,400
Speaker 2: So the corner said that the goal is to give

503
00:25:15,480 --> 00:25:19,360
Speaker 2: some of the family's long awaited answers and ensure that

504
00:25:19,400 --> 00:25:23,679
Speaker 2: the remains are laid to rest. And he said that

505
00:25:23,720 --> 00:25:26,440
Speaker 2: they're not going to stop until all the possibilities.

506
00:25:27,280 --> 00:25:30,560
Speaker 1: Yeah, and WHR had a big xpoze on this, and

507
00:25:30,600 --> 00:25:33,560
Speaker 1: I think some other news outlets have done it as well,

508
00:25:33,560 --> 00:25:36,920
Speaker 1: And a lot of credit goes to this corner. Jealouson

509
00:25:37,040 --> 00:25:39,479
Speaker 1: because he's the guy that when he got in there

510
00:25:39,680 --> 00:25:42,240
Speaker 1: sort of said, look, well he reopened the case right right,

511
00:25:42,720 --> 00:25:46,080
Speaker 1: And he has sounded the alarm, and he's done interviews

512
00:25:46,160 --> 00:25:50,520
Speaker 1: and he's said people died here, okay, and yes it

513
00:25:50,640 --> 00:25:54,560
Speaker 1: was thirty years ago or more, but they still deserve

514
00:25:55,240 --> 00:26:00,199
Speaker 1: a proper burial, they deserve to be known. And so

515
00:26:00,280 --> 00:26:02,600
Speaker 1: credit to him that he continues to sort of ring

516
00:26:02,640 --> 00:26:04,679
Speaker 1: the bell on this, and he sounds like he's got

517
00:26:05,200 --> 00:26:07,560
Speaker 1: a new group that's really passionate about trying to help

518
00:26:07,640 --> 00:26:09,359
Speaker 1: him out and hopefully they'll be able to put some

519
00:26:09,400 --> 00:26:10,560
Speaker 1: more names on these.

520
00:26:10,400 --> 00:26:14,320
Speaker 2: They say that there's seventeen sets of human remains, but

521
00:26:15,119 --> 00:26:16,360
Speaker 2: they could still be finding more.

522
00:26:16,440 --> 00:26:20,400
Speaker 1: Oh sure, well, who's the horrible I'm forgetting the guy's name.

523
00:26:20,400 --> 00:26:22,720
Speaker 1: We had the guy on who owns the property now,

524
00:26:23,040 --> 00:26:25,480
Speaker 1: and you know he was it was a fasting interview.

525
00:26:25,520 --> 00:26:27,760
Speaker 1: This was a year year or more ago we had

526
00:26:27,840 --> 00:26:30,320
Speaker 1: him on, and I'm sorry his name gave me off

527
00:26:30,320 --> 00:26:31,399
Speaker 1: the top of my head right now, but he was

528
00:26:31,440 --> 00:26:32,880
Speaker 1: a fasting interview about.

529
00:26:32,760 --> 00:26:35,040
Speaker 2: How he would find things, yeah, and take it down

530
00:26:35,080 --> 00:26:35,600
Speaker 2: to the corner.

531
00:26:35,840 --> 00:26:40,800
Speaker 1: Spacious that property is, and certainly I'm sure that there's

532
00:26:40,840 --> 00:26:43,640
Speaker 1: stuff there that hasn't been on earth yet. So good.

533
00:26:43,800 --> 00:26:45,760
Speaker 1: It's good to hear this. Good and God bless that

534
00:26:45,800 --> 00:26:47,800
Speaker 1: coroner that's trying to do this for these for these

535
00:26:47,880 --> 00:26:49,000
Speaker 1: victims and for their families.

536
00:26:49,800 --> 00:26:53,000
Speaker 2: So more than four hundred National Guard troops from the

537
00:26:53,040 --> 00:26:57,680
Speaker 2: thirty eighth Infantry Division, they came home to Indianapolis last night.

538
00:26:57,880 --> 00:27:00,720
Speaker 2: Where were they after a year long deployment. They were

539
00:27:00,800 --> 00:27:04,160
Speaker 2: part of Operations Spartan Shield in the Middle East.

540
00:27:04,359 --> 00:27:05,280
Speaker 1: Okay, very good.

541
00:27:05,359 --> 00:27:07,760
Speaker 2: So they were gone for a year and here is

542
00:27:07,800 --> 00:27:10,680
Speaker 2: the governor welcoming them back home.

543
00:27:11,000 --> 00:27:13,359
Speaker 3: Yeah, it's a long stretched time.

544
00:27:14,000 --> 00:27:14,640
Speaker 2: All it fun.

545
00:27:15,400 --> 00:27:17,360
Speaker 1: You're serving the state, you're serving.

546
00:27:17,040 --> 00:27:19,240
Speaker 2: The hydry made it back safe.

547
00:27:19,240 --> 00:27:19,400
Speaker 4: Foo.

548
00:27:20,760 --> 00:27:21,720
Speaker 2: Great to have you back.

549
00:27:22,440 --> 00:27:24,959
Speaker 1: I want to get this long hung out, get out,

550
00:27:25,119 --> 00:27:26,720
Speaker 1: see your love.

551
00:27:26,760 --> 00:27:27,159
Speaker 3: Would you do?

552
00:27:27,640 --> 00:27:28,320
Speaker 2: Thank you so much.

553
00:27:32,240 --> 00:27:34,360
Speaker 1: If I've just been in the Middle East for a year,

554
00:27:34,400 --> 00:27:36,280
Speaker 1: the last person I'd want to see is Mike Brawn.

555
00:27:39,480 --> 00:27:40,520
Speaker 1: So disagree.

556
00:27:41,160 --> 00:27:43,959
Speaker 2: Uh. The governor posted about it with that video and

557
00:27:44,040 --> 00:27:46,760
Speaker 2: he said, welcome home to the thirty eighth Infantry Division

558
00:27:46,840 --> 00:27:49,520
Speaker 2: of the National Guard. Of course, the National Guard, you know,

559
00:27:49,600 --> 00:27:50,880
Speaker 2: the governor in each state.

560
00:27:50,760 --> 00:27:54,600
Speaker 1: Is like the chiefs commander chief basically achieve.

561
00:27:54,400 --> 00:27:56,879
Speaker 2: Ar of that guard, and he said, thank you for

562
00:27:57,000 --> 00:28:00,880
Speaker 2: your eleven months of service abroad. We're glad to have

563
00:28:00,960 --> 00:28:06,639
Speaker 2: you back. And the comments are pretty interesting, uh oh,

564
00:28:06,760 --> 00:28:10,719
Speaker 2: because they do range from thank you for showing up

565
00:28:10,760 --> 00:28:15,320
Speaker 2: for these men and women. This is leadership, complimenting the governor.

566
00:28:16,040 --> 00:28:18,639
Speaker 2: But then you go on and somebody else SA's great

567
00:28:18,680 --> 00:28:22,000
Speaker 2: work and recognition, governor, keep it up. How about the

568
00:28:22,000 --> 00:28:28,440
Speaker 2: sheriff corruption case it disappeared, Oline Alter, Yeah, somebody else said,

569
00:28:28,520 --> 00:28:33,879
Speaker 2: commented what you were thinking. We apologe, we Hoosiers, apologize

570
00:28:33,920 --> 00:28:36,840
Speaker 2: for you having to listen to this deep state operative.

571
00:28:36,960 --> 00:28:40,280
Speaker 2: First thing back, Oh but we love you National Guard.

572
00:28:40,960 --> 00:28:43,600
Speaker 1: Okay, so what are the like You know me, I'm

573
00:28:43,640 --> 00:28:47,080
Speaker 1: fully supportive of everybody telling Mike Brown a consistent basis

574
00:28:47,080 --> 00:28:50,960
Speaker 1: what a lying, backstabbing, dishonest, deceitful piece of trash that

575
00:28:51,040 --> 00:28:53,920
Speaker 1: he is. However, I think on the nash like the

576
00:28:53,960 --> 00:28:59,280
Speaker 1: heroic nature of those amongst us posts like if you're

577
00:28:59,360 --> 00:29:04,160
Speaker 1: honoring the military or some police officer fireman who did

578
00:29:04,200 --> 00:29:07,120
Speaker 1: something great, or aren't there certain posts where you just

579
00:29:07,120 --> 00:29:10,920
Speaker 1: got to be like okay, we'll we'll let this one go.

580
00:29:11,000 --> 00:29:13,040
Speaker 1: And if you can't just say thanks for your service.

581
00:29:13,080 --> 00:29:15,160
Speaker 1: Probably just don't say anything at all.

582
00:29:15,520 --> 00:29:20,040
Speaker 2: Yeah, nope, there were many comments. These people don't want

583
00:29:20,080 --> 00:29:22,840
Speaker 2: to hear you. They went off the plane to see

584
00:29:22,880 --> 00:29:23,640
Speaker 2: their families.

585
00:29:23,680 --> 00:29:27,040
Speaker 1: Well, and it's like, you hate this because Braun deserves

586
00:29:27,120 --> 00:29:31,840
Speaker 1: whatever whatever torment he gets. But you know, these people

587
00:29:31,920 --> 00:29:34,240
Speaker 1: are just out serving their country, and you know, I

588
00:29:34,360 --> 00:29:36,120
Speaker 1: just kind of think maybe I'd leave that one alone

589
00:29:36,120 --> 00:29:38,520
Speaker 1: and just scroll to the next post and tell Braun

590
00:29:38,560 --> 00:29:39,640
Speaker 1: how Rotteney is.

591
00:29:39,760 --> 00:29:42,320
Speaker 2: Ron Quit using the helicopter to fly her from on

592
00:29:42,320 --> 00:29:46,240
Speaker 2: the town every five minutes. It's costing taxpayers tons of money.

593
00:29:46,320 --> 00:29:48,960
Speaker 1: Yeah, what what are we doing? We have one segment

594
00:29:49,080 --> 00:29:50,360
Speaker 1: left to do. I don't know if you're keeping trying,

595
00:29:50,360 --> 00:29:52,000
Speaker 1: but we have one segment left in our award winning

596
00:29:52,000 --> 00:29:53,320
Speaker 1: program today. What are we doing?

597
00:29:53,640 --> 00:29:56,440
Speaker 2: We could talk about the College Football Playoffs Selection Committee.

598
00:29:56,440 --> 00:29:59,400
Speaker 1: They've got some very interesting new Like I was blown

599
00:29:59,440 --> 00:30:02,280
Speaker 1: away that this wasn't already a thing that they.

600
00:30:02,160 --> 00:30:03,720
Speaker 2: Were considering emphasis.

601
00:30:03,800 --> 00:30:05,840
Speaker 1: Yeah, like this this blew my mind. It's like, really,

602
00:30:05,880 --> 00:30:08,080
Speaker 1: we didn't do this already. This is very interesting to me.

603
00:30:08,400 --> 00:30:19,120
Speaker 2: It's kind of like Casey, it's ninety three, wibc's a

604
00:30:19,160 --> 00:30:20,080
Speaker 2: couple of weeks.

605
00:30:19,760 --> 00:30:23,880
Speaker 1: Casey, Notre Dame is back. Of course, real college football

606
00:30:23,880 --> 00:30:26,680
Speaker 1: begins this weekend. There is actually a it's taking place

607
00:30:26,720 --> 00:30:29,640
Speaker 1: in Dublin. It's a very weird thing than in Dublin, Ireland.

608
00:30:29,640 --> 00:30:32,360
Speaker 1: It's gonna be Iowa State against Kansas State, but those

609
00:30:32,360 --> 00:30:35,040
Speaker 1: are two ranked teams. So we have legitimate football this weekend.

610
00:30:36,120 --> 00:30:41,360
Speaker 1: And there was this big change that they've made to

611
00:30:41,560 --> 00:30:44,239
Speaker 1: how they're so in college football. I'm assume most people know,

612
00:30:44,280 --> 00:30:46,640
Speaker 1: but maybe for those who don't. College football now has

613
00:30:46,680 --> 00:30:49,480
Speaker 1: a playoff system. It's much smaller, but it's much like

614
00:30:49,560 --> 00:30:53,200
Speaker 1: the NCAA tournament, where there's a selection committee. They picked

615
00:30:53,280 --> 00:30:56,640
Speaker 1: twelve teams and then they play in a tournament style.

616
00:30:56,680 --> 00:30:59,120
Speaker 1: You know, when you advance, lose, you go home, you're done,

617
00:30:59,720 --> 00:31:06,000
Speaker 1: and there is a there is there are criteria that

618
00:31:06,040 --> 00:31:09,440
Speaker 1: they that this committee who picks the teams is supposed

619
00:31:09,480 --> 00:31:12,960
Speaker 1: to look at. And one of the things that I

620
00:31:12,960 --> 00:31:17,000
Speaker 1: guess now has official weight to it but did not

621
00:31:17,080 --> 00:31:19,880
Speaker 1: last year, which blows my mind is the strength of

622
00:31:19,880 --> 00:31:21,480
Speaker 1: scheduled that a team played.

623
00:31:21,560 --> 00:31:23,480
Speaker 2: Yet teams are going to be awarded more for playing

624
00:31:23,520 --> 00:31:24,760
Speaker 2: and beating strong opponents.

625
00:31:24,920 --> 00:31:29,160
Speaker 1: So for example, I you made it in last year,

626
00:31:29,160 --> 00:31:33,680
Speaker 1: with just one regular season loss that was at Ohio State,

627
00:31:34,480 --> 00:31:35,720
Speaker 1: and they were in that game for a while and

628
00:31:35,720 --> 00:31:37,360
Speaker 1: then ultimately it ended up not being all that closed,

629
00:31:37,360 --> 00:31:39,560
Speaker 1: but they were at least some one competitive. However, their

630
00:31:39,600 --> 00:31:44,040
Speaker 1: preseason schedule was a complete dumpster fire, and they have

631
00:31:44,200 --> 00:31:48,240
Speaker 1: now openly said, because of the way the college football

632
00:31:48,240 --> 00:31:51,440
Speaker 1: playoff system is orchestrated, we're going to keep the goober

633
00:31:51,760 --> 00:31:54,360
Speaker 1: team preseason schedule because we just want to win as

634
00:31:54,360 --> 00:31:55,760
Speaker 1: many games as we can and we think of they

635
00:31:55,800 --> 00:31:57,720
Speaker 1: didn't say this directly, but if they lose only two games,

636
00:31:57,720 --> 00:31:59,600
Speaker 1: they'll probably get in being a Big Ten school. So

637
00:31:59,640 --> 00:32:02,440
Speaker 1: they said, well, what incentive do we have to play

638
00:32:02,480 --> 00:32:05,400
Speaker 1: a tougher schedule and risk a loss versus just piling

639
00:32:05,480 --> 00:32:06,760
Speaker 1: up the wins and trying to get through the Big

640
00:32:06,800 --> 00:32:10,680
Speaker 1: ten schedule. Now, apparently that is somewhat being addressed based

641
00:32:10,720 --> 00:32:13,080
Speaker 1: on there will be an actual weighted portion to the

642
00:32:13,120 --> 00:32:14,120
Speaker 1: strength of your schedule.

643
00:32:14,200 --> 00:32:17,160
Speaker 2: Not only will teams be rewarded for playing and beating

644
00:32:17,160 --> 00:32:21,080
Speaker 2: strong opponents, but losses to weaker teams they're going to

645
00:32:21,160 --> 00:32:24,160
Speaker 2: be penalized for that as well. So they say the

646
00:32:24,160 --> 00:32:27,520
Speaker 2: purpose of the change is to add objective data points

647
00:32:27,560 --> 00:32:30,280
Speaker 2: to help the committee rank the teams more fairly. It

648
00:32:30,320 --> 00:32:34,960
Speaker 2: also encourages the teams to schedule tougher opponents, including lots

649
00:32:35,000 --> 00:32:38,720
Speaker 2: of non conference play. It aims to prevent easier schedules

650
00:32:38,760 --> 00:32:43,520
Speaker 2: from being unfairly rewarded, and it addresses some of the

651
00:32:43,560 --> 00:32:46,680
Speaker 2: past controversies like the Indiana game that you mentioned.

652
00:32:47,200 --> 00:32:51,520
Speaker 1: Yeah, so this this will be very interesting to see

653
00:32:51,680 --> 00:32:56,960
Speaker 1: how this plays out this year because I I don't

654
00:32:57,000 --> 00:32:58,920
Speaker 1: mean to be I'm not trying to be callous by

655
00:32:58,920 --> 00:33:02,200
Speaker 1: saying this, but nobody cares about Boise State like nobody

656
00:33:02,200 --> 00:33:03,240
Speaker 1: cares about Arizona State.

657
00:33:03,360 --> 00:33:04,640
Speaker 2: Uce you're into that blue end zone.

658
00:33:04,760 --> 00:33:09,040
Speaker 1: Well right, I mean, you know, And and Boise State

659
00:33:09,040 --> 00:33:11,040
Speaker 1: had arguably the best player in college football last year,

660
00:33:11,080 --> 00:33:14,000
Speaker 1: the running back Jante who is now at the Raiders.

661
00:33:14,360 --> 00:33:16,920
Speaker 1: And Arizona State had the Scataboo kid who was like

662
00:33:16,920 --> 00:33:18,959
Speaker 1: a bowling ball and that was fun to watch. But

663
00:33:19,000 --> 00:33:23,200
Speaker 1: in terms of hey, we're putting our best feet forward here,

664
00:33:23,280 --> 00:33:26,280
Speaker 1: in terms of a national audience, let's face it, ninety

665
00:33:26,320 --> 00:33:28,160
Speaker 1: percent of the interest is Big ten and SEC and

666
00:33:28,240 --> 00:33:31,040
Speaker 1: everything else. You know, some acc to a certain extent,

667
00:33:31,200 --> 00:33:32,720
Speaker 1: but it's just a bunch of also rans. So it'll

668
00:33:32,720 --> 00:33:36,719
Speaker 1: be interesting to see. This is a business, it's television product.

669
00:33:37,000 --> 00:33:39,240
Speaker 1: They're doing this. They went to this playoff system to

670
00:33:39,280 --> 00:33:42,720
Speaker 1: make money. And in terms of making money from advertisers,

671
00:33:42,720 --> 00:33:45,000
Speaker 1: what you care most about our eyeballs on your product?

672
00:33:45,320 --> 00:33:47,000
Speaker 1: And there are a lot more people going to watch

673
00:33:47,000 --> 00:33:48,640
Speaker 1: the fifth or sixth best team in the Big ten

674
00:33:48,880 --> 00:33:51,120
Speaker 1: versus Boise State. I'm sorry. So it'll be very fascina

675
00:33:51,160 --> 00:33:54,440
Speaker 1: to see how this thing continues to evolve as they

676
00:33:54,480 --> 00:33:56,360
Speaker 1: try to figure out how to maximize the profit out

677
00:33:56,360 --> 00:33:56,560
Speaker 1: of it.

678
00:33:56,760 --> 00:34:00,840
Speaker 2: So the first ranking will be November fourth, that's right,

679
00:34:01,080 --> 00:34:02,400
Speaker 2: first Notre Dame game.

680
00:34:04,520 --> 00:34:06,880
Speaker 1: August. Well, I was going to say, it's what it's too,

681
00:34:07,000 --> 00:34:08,600
Speaker 1: it's next. It's next week, right.

682
00:34:08,800 --> 00:34:11,680
Speaker 2: August thirty first, seven thirty.

683
00:34:11,600 --> 00:34:14,920
Speaker 1: Yeah against Miami. Yes, yeah, yeah, that's a Saturday.

684
00:34:15,239 --> 00:34:15,920
Speaker 2: No, it's a Sunday.

685
00:34:15,920 --> 00:34:17,839
Speaker 1: It is a Sunday. I'm sorry. I'm sorry. Labor Day

686
00:34:17,920 --> 00:34:21,840
Speaker 1: is September first, which is Monday. I got a shoot?

687
00:34:22,320 --> 00:34:24,080
Speaker 1: What I got a bartend that night?

688
00:34:24,560 --> 00:34:26,600
Speaker 2: Oh, well, maybe they'll have a TV there. Where are

689
00:34:26,600 --> 00:34:27,879
Speaker 2: you bartending at the golf club?

690
00:34:27,960 --> 00:34:29,000
Speaker 1: I am doing a private event.

691
00:34:29,160 --> 00:34:30,680
Speaker 2: Oh you were hired out?

692
00:34:30,719 --> 00:34:33,040
Speaker 1: If I was hired out, I come in for your.

693
00:34:33,360 --> 00:34:37,359
Speaker 2: For your witty, well parkling conversation abilities. I did this,

694
00:34:37,360 --> 00:34:38,400
Speaker 2: will you mix a cocktail?

695
00:34:38,520 --> 00:34:45,239
Speaker 1: I did this two years ago a person who I

696
00:34:45,280 --> 00:34:47,560
Speaker 1: know very well. They have a big get together with

697
00:34:47,600 --> 00:34:49,080
Speaker 1: all their friends and they were like, people would love

698
00:34:49,120 --> 00:34:51,880
Speaker 1: to meet Rob Kendall and have him serve them drinks.

699
00:34:51,960 --> 00:34:54,799
Speaker 1: So they hired me to come out and apparently went

700
00:34:54,840 --> 00:34:57,000
Speaker 1: well enough that they said, hey, we'd love to have

701
00:34:57,000 --> 00:34:57,440
Speaker 1: you come.

702
00:34:57,280 --> 00:34:58,319
Speaker 2: Back, come back to it again.

703
00:34:58,400 --> 00:35:00,560
Speaker 1: And I accepted this engagement.

704
00:35:00,320 --> 00:35:04,320
Speaker 2: Not realizing, not realizing the day play on a Sunday.

705
00:35:05,760 --> 00:35:08,719
Speaker 2: Do you think you would get more attractive to those partygoers?

706
00:35:08,760 --> 00:35:12,399
Speaker 2: Is than I cos on if you do your job

707
00:35:12,440 --> 00:35:13,200
Speaker 2: correctly right?

708
00:35:13,880 --> 00:35:16,040
Speaker 1: I look, I love the bartending like I would not

709
00:35:16,440 --> 00:35:20,120
Speaker 1: I would not want to be a like career bartender,

710
00:35:20,440 --> 00:35:22,399
Speaker 1: but I love doing the one ops. If you want

711
00:35:22,440 --> 00:35:24,920
Speaker 1: me to like your event, let me know Rob at

712
00:35:25,000 --> 00:35:28,520
Speaker 1: WIBC dot com. I love going to meeting people. It's

713
00:35:28,560 --> 00:35:30,839
Speaker 1: perfect for me. I can do it. You know. It's

714
00:35:30,880 --> 00:35:33,440
Speaker 1: a few hours of time, five six hours skooodle on

715
00:35:33,480 --> 00:35:36,080
Speaker 1: out the door with a wat of hundreds in my

716
00:35:36,120 --> 00:35:37,719
Speaker 1: pocket and go about my life.

717
00:35:37,840 --> 00:35:40,280
Speaker 2: You're a great conversationalists. You ask a lot of questions.

718
00:35:40,440 --> 00:35:41,960
Speaker 2: Don you meet new people, I make.

719
00:35:41,840 --> 00:35:43,160
Speaker 1: You feel like I actually care.

720
00:35:45,160 --> 00:35:47,520
Speaker 2: That things to say right before you do it?

721
00:35:47,760 --> 00:35:49,440
Speaker 1: Okay, I've al'd even hired for this one case, they

722
00:35:49,440 --> 00:35:50,080
Speaker 1: cannot hire me.

723
00:35:50,200 --> 00:35:52,960
Speaker 2: Okay, do you have any idea what most people say

724
00:35:53,160 --> 00:35:58,680
Speaker 2: is the perfect salary? The average perfect salary that Americans

725
00:35:58,719 --> 00:36:01,120
Speaker 2: would say would make them fine financially.

726
00:36:00,640 --> 00:36:01,920
Speaker 1: Have fifty three billion.

727
00:36:02,400 --> 00:36:05,040
Speaker 2: No, it's a reasonable number. Like I'm not talking like

728
00:36:05,120 --> 00:36:06,319
Speaker 2: I want to make a million dollars.

729
00:36:06,360 --> 00:36:07,880
Speaker 1: Well, this depends on where you live, right, because one

730
00:36:07,920 --> 00:36:10,560
Speaker 1: hundred thousand dollars in Indiana can get you a middle

731
00:36:10,600 --> 00:36:13,040
Speaker 1: class life that probably couldn't stretch nearly as far in

732
00:36:13,080 --> 00:36:14,160
Speaker 1: say New York, right.

733
00:36:14,120 --> 00:36:17,320
Speaker 2: Or California. Here in Indiana, well, this is in India.

734
00:36:17,360 --> 00:36:21,279
Speaker 2: The average perfect salary that would make you feel financially

735
00:36:21,320 --> 00:36:24,960
Speaker 2: happy is much higher than what the actual average salary is.

736
00:36:25,320 --> 00:36:28,480
Speaker 2: But it's not it's one hundred and fifty thousand, much lower.

737
00:36:28,600 --> 00:36:29,080
Speaker 1: It's lower.

738
00:36:29,239 --> 00:36:34,719
Speaker 2: Seventy four thousand. Oh, that's the average perfect salary the people. So, yeah,

739
00:36:34,719 --> 00:36:35,600
Speaker 2: that puts me in a good.

740
00:36:35,440 --> 00:36:37,200
Speaker 1: Pay Yes, And you know a big part of it

741
00:36:37,239 --> 00:36:40,799
Speaker 1: is how much work do you want to do? Like

742
00:36:41,160 --> 00:36:44,560
Speaker 1: I don't want to do work. I've worked enough. That's

743
00:36:44,600 --> 00:36:46,520
Speaker 1: why I like this job. Right There's other jobs I

744
00:36:46,520 --> 00:36:48,840
Speaker 1: could go to, probably and make more money, but I

745
00:36:48,880 --> 00:36:51,200
Speaker 1: have someone who does all the work for me, puts

746
00:36:51,280 --> 00:36:54,239
Speaker 1: up with me. I'm out the door at noon and

747
00:36:54,280 --> 00:36:56,120
Speaker 1: I go home and take my nap and watch my stories.

748
00:36:56,200 --> 00:36:59,480
Speaker 1: I mean, I'm not getting I'm not getting rid of that.

749
00:36:59,520 --> 00:37:04,279
Speaker 1: I'd you know. I think it depends on what level

750
00:37:04,320 --> 00:37:06,080
Speaker 1: of motivation you're at in your life, how much you

751
00:37:06,120 --> 00:37:07,680
Speaker 1: want to work. And there's a lot of people who

752
00:37:07,719 --> 00:37:11,120
Speaker 1: make more money, but they're not necessarily happy in their career,

753
00:37:11,200 --> 00:37:12,960
Speaker 1: but they like the money more than they like the

754
00:37:12,960 --> 00:37:14,080
Speaker 1: happiness at the workplace.

755
00:37:14,280 --> 00:37:17,719
Speaker 2: Speaking of working, more than a third of Americans are

756
00:37:17,800 --> 00:37:21,000
Speaker 2: actively looking for a new job right now.

757
00:37:21,320 --> 00:37:23,680
Speaker 1: Very good every Thursday, I think that's going to be us.

758
00:37:24,160 --> 00:37:25,560
Speaker 1: But we've apparently made it to the end of the

759
00:37:25,600 --> 00:37:27,839
Speaker 1: show and nobody said come see us, So I think

760
00:37:27,840 --> 00:37:29,040
Speaker 1: we've got another week to go.

761
00:37:29,280 --> 00:37:33,040
Speaker 2: Casey, check your email. Thank you, thank you, BROV, thank

762
00:37:33,080 --> 00:37:36,320
Speaker 2: you Kevin, thank you for listening today. It's Kendallly Casey

763
00:37:36,560 --> 00:37:38,200
Speaker 2: on ninety three WIBC