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Speaker 1: This is the Kendall and Casey Show, ninety three WIBC.

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Speaker 1: My name is Craig Collins, filling in, thrilled to be

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Speaker 1: with you. A bunch of stuff to talk about. During

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Speaker 1: that last break, I found audio of steven A. Smith

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Speaker 1: talking about President Trump with a lot of bad words

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Speaker 1: in there. Not steven A being critical of Trump, by

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Speaker 1: the way, but Stephen A saying how Democrats screwed up

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Speaker 1: by vilifying Trump as much as they did leading up

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Speaker 1: to the election and trying to throw them in jail.

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Speaker 2: That was another thing.

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Speaker 1: I've cleaned up this audio as best I could in

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Speaker 1: just a few minutes. There are no bad words in it.

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Speaker 1: I don't think there's any bleep sound, so I think

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Speaker 1: you're not even going to be able to tell that

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Speaker 1: some bad words are in here. But let's go ahead

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Speaker 1: and play on this, and let's hope for the Let's

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Speaker 1: risk it for the biscuit. Is the way that a

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Speaker 1: friend of mine in radio says all the time. Because

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Speaker 1: I think the audio is actually pretty good, and I've

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Speaker 1: warned Kylon enough times indirectly that a bad word might

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Speaker 1: have been met.

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Speaker 2: No, I'm kidding. I think all the bad words are

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Speaker 2: out here. We go.

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Speaker 3: I told him what Trump let it go? What you're

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Speaker 3: trying to put him in jail for? They did everything

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Speaker 3: they could to prevent him from being the president. Trump

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Speaker 3: ain't going after these people, man, because of the election.

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Speaker 3: He going after these people because they tried to get

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Speaker 3: him to spend the rest of his life. Where is it?

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Speaker 3: He approached it eighty years old and you tried to

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Speaker 3: throw him behind bass He coming.

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Speaker 1: Yeah, I jumped some words in there, so we're good.

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Speaker 1: No bad words came out. And he kept going steven

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Speaker 1: A about how you know he's coming after these bleeping

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Speaker 1: people because of the thing they tried to do to him.

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Speaker 1: But yeah, that is essentially the argument I've made before

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Speaker 1: on why if anyone thinks that there's political prosecution, which

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Speaker 1: I don't actually think is happening as much as mainstream

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Speaker 1: media does, of course in this current term, this current administration.

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Speaker 1: But if anybody thinks any that's occurring at all, or

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Speaker 1: even just some of the falling out of relationships, some

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Speaker 1: of that might be tied to the fact that they

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Speaker 1: almost got Trump to go to jail, or at least

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Speaker 1: they tried very hard to make that happen. And I

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Speaker 1: think I would also add they try to kill him

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Speaker 1: into that discussion. And so if you're someone in a

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Speaker 1: position of power, you know, I thought about.

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Speaker 2: It this way. This is a weird way to talk

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Speaker 2: about it.

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Speaker 1: Some places that I've worked in my life in radio

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Speaker 1: and media. I'm not here at WIBC, where I'm just

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Speaker 1: a part timer, but it's awesome to work for this organization.

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Speaker 1: But some other places I've worked, they haven't had the

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Speaker 1: same acceptance of the mission statement at all levels. What

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Speaker 1: I mean by that is, if you have a conservative

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Speaker 1: leaning station, but you have people within the company who

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Speaker 1: do not lean conservative, those people might not want the

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Speaker 1: station that you have to succeed that disagrees with them.

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Speaker 1: And they could be sales directors, they could be news directors,

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Speaker 1: they could be all kinds of people. There are people

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Speaker 1: who are at odds with the mission of the organization

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Speaker 1: they work for, and that's bad. That doesn't turn out good,

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Speaker 1: and especially in the world of media, it significantly makes

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Speaker 1: things worse. And so I've been at places where as

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Speaker 1: things progressed and even as success is being found and

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Speaker 1: like ratings are turning out good and whatnot, there's people

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Speaker 1: actively cheering against you and sort of trying to harm

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Speaker 1: you along the way. And the reason I'm saying this

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Speaker 1: is not to complain about my career. That would be

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Speaker 1: fun and cathartic, but that's not the point of this.

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Speaker 1: The point is I always fantasize what it would be

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Speaker 1: like to become in charge of those places. The place

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Speaker 1: is where there were roadblocks that shouldn't exist. And I

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Speaker 1: think anybody who say, has somebody at work at whatever

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Speaker 1: the job is you do, who you feel like is

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Speaker 1: standing in your way and trying to prevent you from

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Speaker 1: whatever the success is, whether it's jumping over them in

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Speaker 1: the chain, which of course I guess people might do

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Speaker 1: that if they think that you're going to, you know,

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Speaker 1: rise above wherever they're at. A lot of resentment can

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Speaker 1: take place in those situation, whatever it might be.

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Speaker 2: I don't care what the reason.

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Speaker 1: Is, but anyway, I think a lot of people fantasize

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Speaker 1: about just firing everybody. You get in that position of power.

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Speaker 1: As soon as you you know, are in a role

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Speaker 1: where you can actually impact the people who've been impacting you.

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Speaker 1: You want to do as much negative as you can

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Speaker 1: and then think of it times a million. If you're

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Speaker 1: the president of the United States, and you get into a

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Speaker 1: position of power where every system they had, you know,

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Speaker 1: at their disposal, they tried to use against you. What

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Speaker 1: would you do is the question of that? How would

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Speaker 1: you behave? And I'll go even a step further. And

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Speaker 1: I don't know if this is controversial per se to say,

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Speaker 1: but darn it, we're here.

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Speaker 2: I'm going to do it anyway.

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Speaker 1: When the Rob Reiner posts came out for President Trump

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Speaker 1: after Rob Reiner was horrifically killed by likely his son,

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Speaker 1: I only say likely because that court case isn't over yet,

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Speaker 1: but likely killed his own son in a you know,

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Speaker 1: horrible way. And then Trump's post comes out, and it

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Speaker 1: does at the beginning, I'm going to put this out

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Speaker 1: there too, at the beginning and the end of the post, it.

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Speaker 2: Does say it's tragic or horrible.

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Speaker 1: But then the whole middle is a person who's very

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Speaker 1: you know, very much not happy with the individual that

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Speaker 1: Rob Reiner was when he was alive, very much showing

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Speaker 1: his dislike of that person. A most of media, even

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Speaker 1: a lot of conservative outlet's, attack Trump for this. They

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Speaker 1: said that it looked bad. And I'll be honest, it's

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Speaker 1: not the kind of thing I would do. I would not,

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Speaker 1: I think, attack someone who is just killed. However, if

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Speaker 1: you're trying to humanize people and not think of all

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Speaker 1: of the individuals in society as different than us, like

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Speaker 1: they're all just people too, even President Trump, then the

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Speaker 1: amount of anger that Trump specifically had for Reiner could

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Speaker 1: start to make a little more sense.

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Speaker 2: Now.

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Speaker 1: Granted, I think even Joe Rogan, who is the one

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Speaker 1: who put up the Stephen A. Smith audio, but that's

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Speaker 1: why I mentioned Rogan. Even Joe Rogan has said recently

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Speaker 1: that it's just a bad look. It's just not what

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Speaker 1: in empathetic society should look like to attack somebody after

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Speaker 1: they've been murdered. And I get it, I understand the position.

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Speaker 1: But if we're just being people, like the amount of

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Speaker 1: people who wake up every day and just hate Trump

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Speaker 1: to a degree that's sort of amazing, and they hate

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Speaker 1: him regardless of what he does, regardless of what he says.

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Speaker 1: If they think that there's something he said or done

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Speaker 1: that means that their hate is justified, it's long over

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Speaker 1: and they definitely don't care anymore about what he says

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Speaker 1: or does. And some of these people are important, Some

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Speaker 1: of these people have, you know, platforms of their own

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Speaker 1: or followings, or you know, money to donate to campaigns.

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Speaker 1: All of those things are things that you deal with

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Speaker 1: as the person in a position of power. And I'm

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Speaker 1: not trying to make the Trump the victim here. That's

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Speaker 1: not the intention of this, although I'm sure that in

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Speaker 1: his own mind he might see that at times being

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Speaker 1: a thing that's true. But what I think is really

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Speaker 1: interesting about that is that again, you're just a person.

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Speaker 1: You're just a people, which is the way that i'd

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Speaker 1: say it to my wife. She likes to say it

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Speaker 1: that way. So you're just somebody out there in society

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Speaker 1: that's that's living a certain way. And and here, I

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Speaker 1: guess is the spin of this. And this might not matter.

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Speaker 1: It's the holidays, this is an older story. I couldn't

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Speaker 1: help feeling it connected out of this segment that I'm

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Speaker 1: talking about now. And I know I've mentioned Charlie Kirk

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Speaker 1: a lot on this show, more so than I think

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Speaker 1: I've mentioned even filling in for Tony Katz over.

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Speaker 2: The last few days.

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Speaker 1: But I will say that that The Vitriolic responds to

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Speaker 1: the murder of Charlie Kirk by everyday people, just a

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Speaker 1: ton of people who might have felt as though they

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Speaker 1: had every right to be mad at Charlie. Showed me

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Speaker 1: more about society than the way that one person, no

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Speaker 1: matter how important that person in society is, even if

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Speaker 1: it's the president, reacts to the death of someone else,

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Speaker 1: because it was not all of conservative media or a

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Speaker 1: bunch of conservative seeming people that are online, you know,

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Speaker 1: a loud people that were celebrating the death of Rob

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Speaker 1: Bryan or I'm certainly not celebrating the death of that

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Speaker 1: person whatsoever, or saying that it's deserved or any of

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Speaker 1: that crap. And so that to me was the bigger

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Speaker 1: takeaway is that when you look at the totality of

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Speaker 1: the response to something and you see one version of

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Speaker 1: it and a different version of it. And I think

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Speaker 1: that's the biggest mistake people make in politics right now.

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Speaker 1: And I mean this about the left more than anybody else.

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Speaker 1: And I have a bunch of people that are still

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Speaker 1: friends of mine that I see they're crazy posts about

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Speaker 1: Trump all the time. I think the left looks for

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Speaker 1: a way to blame voters for the behavior of President Trump.

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Speaker 1: Whatever Trump does, the people that are angry at him,

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Speaker 1: they want to also be angry at Maga or whatever

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Speaker 1: they call it whatever the thing is out there that

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Speaker 1: they think is bad, and so the behavior of one

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Speaker 1: becomes the assumed behavior of all. And granted, a whole

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Speaker 1: lot of people might agree with the stuff he does

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Speaker 1: or the way he acts, or not care about it, whatever,

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Speaker 1: and that's totally fine. I get that.

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Speaker 2: I understand that.

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Speaker 1: But by and large, when I'm talking to someone who

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Speaker 1: tells me how awful this behavior is, it's Trump's behavior,

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Speaker 1: and they want to put it on the feet of

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Speaker 1: other people. When you do it the opposite way, it's

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Speaker 1: usually the behavior of mass media or social media and

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Speaker 1: the way that they censored certain things. It's usually a

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Speaker 1: whole lot of not famous voices that are collectively saying

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Speaker 1: a thing. It's the hive mind that comes out, the

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Speaker 1: mind virus, as I think Elon Musk has called it.

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Speaker 1: That's interesting to me because one of them is a

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Speaker 1: reflection of a totality of people, or at least a

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Speaker 1: subset of a larger group, and one's just one person.

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Speaker 1: So why do we so often talk about the behavior

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Speaker 1: of one person as if it's a reflection of all

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Speaker 1: the people who voted for that individual, bad or good.

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Speaker 2: I'm not trying to crap on Trump in this segment.

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Speaker 2: That's not the point.

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Speaker 1: I'm actually not even really trying on purpose to give

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Speaker 1: a lot of my opinions of a lot of this.

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Speaker 1: But truthfully, the reason why I think it's interesting is

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Speaker 1: that so very often I feel as though I'm put

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Speaker 1: in a position with friends of mine on the other side,

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Speaker 1: to defend the behavior of one person as opposed to

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Speaker 1: when I ask a question, it's really the behavior of

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Speaker 1: tons of people who all seem to think that they

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Speaker 1: have the right to behave the way they do, and

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Speaker 1: that seems bad. All right, we'll take a break on that.

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Speaker 1: We'll come back and talk about some more fun stuff.

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Speaker 1: I didn't mean to get a deep dive philosophical on

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Speaker 1: the show. If that's even what we just did there,

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Speaker 1: I just can't help it. It's the holidays. I feel

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Speaker 1: like there's only so much news that you want to

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Speaker 1: hear about, and only so much news I want to

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Speaker 1: talk about.

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Speaker 2: So who knows. We'll do more of this, but we'll

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Speaker 2: keep you informed in everything.

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Speaker 1: I will talk about Ukraine and the United States and Russia,

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Speaker 1: because that's a big story that's out there. I will

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Speaker 1: keep you informed in everything. I will also have some

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Speaker 1: fun in just a bit. This is Craig Collins filling

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Speaker 1: in on Kendall and Casey ninety three WIBC. This is

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Speaker 1: the Kendall and Casey Show. My name is Craig Collins,

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Speaker 1: filling in. Thrilled to be with you. A bunch of

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Speaker 1: stuff out there to talk about. I did see something

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Speaker 1: that I thought was kind of interesting, and I wonder

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Speaker 1: how much of this is actually just because of the

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Speaker 1: way that social media works today. But there are studies

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Speaker 1: that found that gen Z specifically is not a big

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Speaker 1: on alcohol. They're drinking less and less alcohol in general.

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Speaker 1: They're partying differently than say, generations before them partied. My generation,

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Speaker 1: I am a millennial, definitely partied the same way as

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Speaker 1: generations before us, and gen Z, for the most part,

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Speaker 1: seems to be less interested in booze than the ones

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Speaker 1: before it. But here's the Caveat at least according to

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Speaker 1: social profiler dot com, they are turning toward looking at

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Speaker 1: more salacious content online even at work. The not safe

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Speaker 1: for work content is what they call it. Whether this

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Speaker 1: is just stuff that's on social media where someone posts

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Speaker 1: something provocative and then somebody else interacts with it.

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Speaker 2: And I think this is funny too.

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Speaker 1: And this is a side study that's sort of tangentially

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Speaker 1: connected to this one. There's a lot of people that

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Speaker 1: say that many women interact with inappropriate photos of other

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Speaker 1: women online.

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Speaker 2: And I have a theory.

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Speaker 1: As to why that is by the way that it's

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Speaker 1: women who are responding to like the bikini picture of

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Speaker 1: their friend and not dudes that are going by and

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Speaker 1: large and responding to that. Because that was part of

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Speaker 1: the study. Is it said that men are not engaging

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Speaker 1: as much in this material in a way that they

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Speaker 1: could check and study and understand meaning publicly, as women

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Speaker 1: seem to be. And they thought that was interesting that

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Speaker 1: this generation seems less concerned with you know, quote not

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Speaker 1: safe for work stuff than they are with going out

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Speaker 1: and drinking. And I think Kylan is gen z. I

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Speaker 1: don't know if you want to weigh in on this

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Speaker 1: topic at all before I give you my theory as

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Speaker 1: to why they studied this and saw that more women

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Speaker 1: interact to the thirst trap photo of a friend online

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Speaker 1: than men do.

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Speaker 2: But the overarching message the lack of alcohol.

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Speaker 1: And the not being as you know, ashamed of interacting

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Speaker 1: with social media content that might be more salacious in nature,

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Speaker 1: even while at work.

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Speaker 4: I am gen Z, but I'm curious to hear about

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Speaker 4: your theory on this.

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Speaker 2: I would like to Yeah, let's get into fine, I'll

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Speaker 2: do the theory.

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Speaker 1: I think that the guys aren't interacting publicly because they

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Speaker 1: know they're going to get in trouble. I don't think

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Speaker 1: that they're not paying attention. I think that by and large,

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Speaker 1: if you have a you know, social media page that's

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Speaker 1: you showing off how attractive you are to society, a

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Speaker 1: whole lot of dudes are aware of it, you know.

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Speaker 1: Like I think they even say that a lot of

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Speaker 1: the influencers that are just like young attractive women joke

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Speaker 1: that their audience is predominantly met, which makes sense again

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Speaker 1: because it's just a different version of the same thing

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Speaker 1: we've seen before. But if you're someone studying it and

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Speaker 1: looking for who's liking and commenting on stuff, I think

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Speaker 1: it's much safer if it's female friends than if it's

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Speaker 1: a dude. I think that the dudes are going to

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Speaker 1: shy away from that. I would be curious to study

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Speaker 1: the amount of private messages that come into these accounts

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Speaker 1: and who those people are, if they're guys or women,

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Speaker 1: because I think you'd get a very different sense of

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Speaker 1: the attention and who's responding to it, if you could

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Speaker 1: see an extra layer that the study couldn't see. But

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Speaker 1: the study was saying that men buy and large or

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Speaker 1: not really commenting on this stuff. That it's women who

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Speaker 1: are doing it. And I think that that's the old

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Speaker 1: you go girl, I support you thing that seems more

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Speaker 1: appropriate in the internet society we have than a bunch

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Speaker 1: of dudes doing it. That's my theory is that the

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Speaker 1: study didn't actually reflect the amount of people paying attention,

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Speaker 1: just the amount of people publicly willing to demonstrate that

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Speaker 1: they were interested in something.

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Speaker 4: I love this that we just have a whole bunch

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Speaker 4: of girls, girls out there.

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Speaker 1: Well that's the only thing that's allowed right now. I'm kidding.

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Speaker 1: I know everybody listening who thinks this is all dumb,

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Speaker 1: is like, you don't have to follow whatever rules people make.

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Speaker 2: That's true, you don't. It's fine.

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Speaker 1: But Matt Baher has joked a lot about when he

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Speaker 1: goes to the gym and how he has to stare

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Speaker 1: at the ceiling, as do I whenever I go to

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Speaker 1: that place, because you don't want someone mad at you.

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Speaker 1: You don't want someone to think you looked at them

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Speaker 1: and then get mad at you. I think social media

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Speaker 1: is the same thing. Like, if you're a dude out

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Speaker 1: there commenting, I'm gonna all right, I'm going to tell

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Speaker 1: you something. And I shouldn't do this, but I'm gonna

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Speaker 1: do it anyway because I think it's funny. I work

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Speaker 1: at a different place in radio, it's not WIBC, and

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Speaker 1: I went to work and a co worker who's a

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Speaker 1: little bit older than me and a guy had left

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Speaker 1: their Facebook open on the computer and I didn't look

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Speaker 1: at it. I wasn't like trying to. I was gonna

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Speaker 1: log out of it. But the post he left up

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Speaker 1: was him definitely hitting on a woman on the comment section,

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Speaker 1: like he said something about how good they looked and whatever.

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Speaker 1: And my first reaction was to be like, ah, man,

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Speaker 1: that's not going to go well for you.

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Speaker 2: Like the first thing I thought was this is going to.

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Speaker 1: Be a swing and a misattempt at trying to pick

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Speaker 1: up a woman on the internet because it's in public,

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Speaker 1: it's a comment under the thing, And yeah, I don't

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Speaker 1: think he's actually going to wind up meeting this young

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Speaker 1: woman that he was commenting on. I think that's the

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Speaker 1: society we live in now is people see those things

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Speaker 1: and think of them as not necessarily, you know, the

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Speaker 1: right way to go about connecting with a human.

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Speaker 2: You don't know.

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Speaker 1: I'm being very nice about how I'm discussing this, and

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Speaker 1: so yeah, I saw that, and I was like, dude,

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Speaker 1: this is a guy who obviously is of a different

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Speaker 1: generation and hoping this works, and it's probably not going

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Speaker 1: to work.

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Speaker 4: No, I would agree with that.

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Speaker 2: No notes, No notes, I don't think. Okay, do you

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Speaker 2: think that that's true?

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Speaker 4: Though?

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Speaker 1: Also, do you feel like, as a friend of somebody

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Speaker 1: if they're posting something out there for whatever reason, Like

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Speaker 1: maybe they don't post this stuff all the time, but

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Speaker 1: maybe your female friend who buy and large has a

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Speaker 1: regular social media page, has thrown up the bikini photo

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Speaker 1: because they've been in the gym or something. As a

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Speaker 1: female friend of this person in a supportive way, do

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Speaker 1: you kind of feel a pressure to comment and be like,

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Speaker 1: way to go, this looks great?

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Speaker 2: Yeah you go girl.

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Speaker 1: Okay, See, I thought that guys do not feel that pressure.

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Speaker 1: We feel the exact opposite version of I really shouldn't

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Speaker 1: comment on this one. I need to go find the

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Speaker 1: artistic photo of her where she's not wearing a bathing suit,

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Speaker 1: and it's really more of a focus on a painting

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Speaker 1: or something and tell her how great that looks, and

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Speaker 1: hope for the best there instead of the one where

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Speaker 1: she's the ki I think SNL has made fun of

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Speaker 1: this too, by the way, I think I just described

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Speaker 1: an SNL bit, But anyway, I just thought that was

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Speaker 1: so funny. Is that again people were talking about the

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Speaker 1: difference in society now for men and women, and I

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Speaker 1: would really like to know the behind the scenes. I

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Speaker 1: think that, and probably not in a good way. There's

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Speaker 1: going to be a whole lot of direct messages coming

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Speaker 1: in from people that are not women saying things to

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Speaker 1: some of these young influencers that are out there in

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Speaker 1: the world.

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Speaker 2: All Right, I'll shift gears.

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Speaker 1: There's one other thing out there that I saw that

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Speaker 1: I thought was interesting, and this is actually also sillacious

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Speaker 1: in nature. I didn't do this on purpose, Kylon. These

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Speaker 1: are the topics I found. These are the things I found.

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Speaker 1: Apparently some people are creating what they think is a

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Speaker 1: more attractive Santa.

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Speaker 2: I don't know how I'm gona talk about this is

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Speaker 2: on the New York Post.

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Speaker 1: It is a holiday thing where someone would like to,

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Speaker 1: you know, dress like Santa Claus, but do it in

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Speaker 1: a fancier way to where you actually look good. There

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Speaker 1: are guys who have like red suits on that aren't

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Speaker 1: the typical Santa suit with Italian stuff. And apparently this

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Speaker 1: is a thing that guys on social media are trying

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Speaker 1: to make Santa a more attractive dude but also look

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Speaker 1: like Santa, and women are responding well to the attempt

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Speaker 1: to make Sannah more modely and less like you know,

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Speaker 1: big jolly fat guy. I don't know what you think

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Speaker 1: of this topic, but my complaint, and my complaint is

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Speaker 1: the same all the time with this stuff, is you

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Speaker 1: don't need to go these roads. Man Like, Halloween ruins

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Speaker 1: a lot of characters that are not inherently attractive that

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Speaker 1: then Halloween tries to make attractive, Like the person who

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Speaker 1: goes out dressed a SpongeBob SquarePants and wants SpongeBob to

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Speaker 1: be a hot lady.

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Speaker 2: That does not make sense to me. That is not

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Speaker 2: a good move.

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Speaker 1: The same feels true here that anyone who's trying to

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Speaker 1: create a more attractive version of Santa is missing the

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Speaker 1: point of Santa Claus entirely. He does not need to

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Speaker 1: be an attractive dude. He needs to be a jolly

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Speaker 1: older guy with a big, big belly who I wind

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Speaker 1: up wanting presents from.

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Speaker 2: That's exactly what it is. It doesn't have to be

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Speaker 2: anything else. You want to comment on this one or

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Speaker 2: do you want to take the fifth.

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Speaker 4: There absolutely is an audience for it. I'm not there,

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Speaker 4: but I've seen so many things about events for like

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Speaker 4: Magic Mike, Santa Night type of things.

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Speaker 2: Yet yeah, the whole thing. Yeah, yeah, it's weird. Yeah, okay, good.

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Speaker 1: I'm glad that you're not going to pretend this isn't real,

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Speaker 1: because apparently the New York Post is saying it's real

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Speaker 1: and you've seen it too, So yes, it's odd. I

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Speaker 1: don't know why people want to do this. Maybe it's

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Speaker 1: a challenge of it. Like I kind of think this

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Speaker 1: is going to be an overly nice way to describe this.

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Speaker 1: Artistic people like to do artistically challenging things. I know

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Speaker 1: that for a fact as someone who I think is

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Speaker 1: at times artistic. And so maybe somebody somewhere is sitting

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Speaker 1: in the corner of a room planning their next show

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Speaker 1: and saying to themselves, you know, it would be really

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Speaker 1: tough to make Sanna somebody who's hot, and then they

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Speaker 1: try to do that, They try to make that show

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Speaker 1: and have an audience that goes to it and responds

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Speaker 1: well to it, because it's artistically more challenging than making

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Speaker 1: someone that's you know, not traditionally thought of as attractive hot.

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Speaker 1: This is the same thing I think I see on

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Speaker 1: Halloween when I see young women dressed as stuff that

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Speaker 1: shouldn't be hot, like hot SpongeBob and hot Patrick, and

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Speaker 1: yet they tried to turn it into something that's attractive.

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Speaker 2: It just confuses me. The male brain is simplistic.

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Speaker 1: It just makes it odd and confusing to see that

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Speaker 1: stuff out there and wonder why I now have to have,

439
00:19:52,760 --> 00:19:56,320
Speaker 1: you know, a competing thought in my brain about something

440
00:19:56,320 --> 00:19:57,920
Speaker 1: that I thought was very easy out there.

441
00:19:57,920 --> 00:19:59,640
Speaker 2: Anything else you want to say about this or no.

442
00:20:00,200 --> 00:20:03,280
Speaker 4: I think you put it pretty pretty plainly simplicity, right.

443
00:20:03,240 --> 00:20:06,439
Speaker 2: Beg you beg you Kylin. You're like, yeah, let's move on,

444
00:20:06,600 --> 00:20:08,679
Speaker 2: let's change the topic. We'll take a break, we'll do

445
00:20:08,720 --> 00:20:09,680
Speaker 2: more things in just a bit.

446
00:20:09,720 --> 00:20:12,280
Speaker 1: I love running out of time on adult topic segments

447
00:20:12,680 --> 00:20:14,840
Speaker 1: because then we can't even blame me. We just have

448
00:20:14,920 --> 00:20:17,879
Speaker 1: to blame the fact that we're stopping now on the commercial,

449
00:20:18,080 --> 00:20:19,600
Speaker 1: but we'll be back in a bit. This is Craig

450
00:20:19,640 --> 00:20:22,960
Speaker 1: Collins filling in on Kendall and Casey ninety three WIBC.

451
00:20:24,240 --> 00:20:28,080
Speaker 1: This is the Kendall in Casey Show, ninety three WIBC.

452
00:20:28,480 --> 00:20:32,200
Speaker 1: My name is Craig Collins, filling in. Just a quick

453
00:20:32,359 --> 00:20:34,119
Speaker 1: sweep of some of the bigger things out there in

454
00:20:34,160 --> 00:20:37,719
Speaker 1: the news. President Trump sat down with Vladimir's Lensky and

455
00:20:37,800 --> 00:20:40,119
Speaker 1: it seems like things went very well. It seems as

456
00:20:40,160 --> 00:20:43,400
Speaker 1: though they're sit down in Florida. By and large, has

457
00:20:43,400 --> 00:20:47,119
Speaker 1: the United States and Ukraine in the same place, with

458
00:20:47,200 --> 00:20:51,520
Speaker 1: the same objective and ending a four year war between

459
00:20:51,600 --> 00:20:54,600
Speaker 1: Russia and Ukraine that Russia started, Russia invaded them, all

460
00:20:54,640 --> 00:20:57,280
Speaker 1: those things, and you've definitely heard in the station. And

461
00:20:57,400 --> 00:20:59,879
Speaker 1: I continue to praise Tony Katz. I'm not trying to.

462
00:21:00,359 --> 00:21:01,920
Speaker 2: I know that's not his show, the one I'm doing

463
00:21:02,000 --> 00:21:02,679
Speaker 2: right now.

464
00:21:02,800 --> 00:21:04,520
Speaker 1: But he's done a really great job of talking about

465
00:21:04,520 --> 00:21:09,920
Speaker 1: this issue, and I think helping people understand that Ukraine

466
00:21:09,960 --> 00:21:12,080
Speaker 1: was going to wind up giving things up in some

467
00:21:12,160 --> 00:21:14,520
Speaker 1: sort of peace deal because no one else was going

468
00:21:14,560 --> 00:21:16,199
Speaker 1: to put boots on the ground and fight, not that

469
00:21:16,440 --> 00:21:18,760
Speaker 1: I think it's a good idea, And I don't mean

470
00:21:18,760 --> 00:21:20,240
Speaker 1: to speak for Tony, but I think I get the

471
00:21:20,280 --> 00:21:21,880
Speaker 1: sense that he didn't think it was a good idea either.

472
00:21:22,400 --> 00:21:24,040
Speaker 2: But if you actually.

473
00:21:23,600 --> 00:21:26,520
Speaker 1: Wanted to defeat Russia in a way that would have

474
00:21:26,600 --> 00:21:29,719
Speaker 1: benefited Ukraine, you would have had to help them with

475
00:21:30,080 --> 00:21:33,800
Speaker 1: military bodies, not just military equipment. And so I do

476
00:21:33,840 --> 00:21:37,040
Speaker 1: think it's really interesting that, even though people are upset,

477
00:21:37,080 --> 00:21:39,520
Speaker 1: that that's the likely scenario here, that it's going to happen.

478
00:21:39,960 --> 00:21:43,200
Speaker 1: There is also the US's offer for a fifteen year

479
00:21:43,280 --> 00:21:46,600
Speaker 1: security guarantee as part of a peace plan. It does

480
00:21:46,640 --> 00:21:48,800
Speaker 1: have an expiration date, but it would be an amount

481
00:21:48,840 --> 00:21:52,640
Speaker 1: of time in which, once everything is parsed out, once

482
00:21:52,720 --> 00:21:56,720
Speaker 1: all the different pieces are agreed to, if Russia does

483
00:21:56,760 --> 00:21:59,720
Speaker 1: something to be provocative, the United States would have an

484
00:21:59,760 --> 00:22:03,520
Speaker 1: in simply, you know, obvious, in writing black and white

485
00:22:03,520 --> 00:22:07,840
Speaker 1: way in which they would respond with more strength, respond

486
00:22:07,880 --> 00:22:11,080
Speaker 1: beyond the way of sending just weapons and things to Ukraine.

487
00:22:11,200 --> 00:22:14,480
Speaker 1: So that feels as though it's the path that Ukraine

488
00:22:14,480 --> 00:22:16,680
Speaker 1: most wants. If they give in, they want to make

489
00:22:16,720 --> 00:22:19,320
Speaker 1: sure that there is a protection for whatever is left,

490
00:22:19,600 --> 00:22:21,960
Speaker 1: which would be a significant part of the country. Of course,

491
00:22:22,400 --> 00:22:24,880
Speaker 1: the only things that are really being discussed to give

492
00:22:24,920 --> 00:22:27,760
Speaker 1: away are things that were long contested areas like the

493
00:22:27,800 --> 00:22:31,280
Speaker 1: Donbas region. Anyone that doesn't know much about that area,

494
00:22:31,440 --> 00:22:33,280
Speaker 1: and you probably know a lot more over the last

495
00:22:33,280 --> 00:22:35,840
Speaker 1: few years than you might have known before it. There

496
00:22:35,840 --> 00:22:38,360
Speaker 1: were areas that were essentially having a proxy war where

497
00:22:38,440 --> 00:22:41,680
Speaker 1: Russia would be supporting a force that wasn't necessarily its

498
00:22:41,720 --> 00:22:45,680
Speaker 1: military but behaved like it against Ukraine in these long

499
00:22:45,720 --> 00:22:46,640
Speaker 1: contested areas.

500
00:22:47,440 --> 00:22:48,760
Speaker 2: Now it seems that some of.

501
00:22:48,680 --> 00:22:51,040
Speaker 1: Those areas, most of those areas would probably be surrendered

502
00:22:51,040 --> 00:22:53,800
Speaker 1: to Russia and then the rest of Ukraine would stay

503
00:22:53,960 --> 00:22:55,919
Speaker 1: the way it is. But anyway, that's a big story

504
00:22:56,400 --> 00:22:59,560
Speaker 1: that's out there news. Winter storms are a big story

505
00:22:59,600 --> 00:23:01,960
Speaker 1: throughout the country on the East coast and of course

506
00:23:02,040 --> 00:23:05,800
Speaker 1: in Indianapolis, where things are getting colder and crazier very quickly.

507
00:23:05,880 --> 00:23:10,040
Speaker 1: It's just I'll say this, it's mean. I don't know

508
00:23:10,080 --> 00:23:12,400
Speaker 1: how to say that differently. I remember all the time

509
00:23:12,440 --> 00:23:15,359
Speaker 1: making jokes about that, my wife making jokes about that

510
00:23:15,359 --> 00:23:18,160
Speaker 1: that like mother Nature is mean, or whoever you want

511
00:23:18,160 --> 00:23:20,320
Speaker 1: to call it. Is to have like a really nice

512
00:23:20,480 --> 00:23:24,840
Speaker 1: Christmas and then have immediately terrible weather after Christmas. It's

513
00:23:24,880 --> 00:23:27,040
Speaker 1: the inverse of what you want. You want the winter

514
00:23:27,680 --> 00:23:30,280
Speaker 1: day to happen on Christmas Day, and then when you

515
00:23:30,320 --> 00:23:32,600
Speaker 1: get tempted by the oh my god, it's so lovely outside,

516
00:23:32,640 --> 00:23:35,359
Speaker 1: it's so fancy and nice, or at least it's not miserable.

517
00:23:35,640 --> 00:23:38,560
Speaker 1: If it's not quite as warm in some places as others,

518
00:23:38,600 --> 00:23:41,240
Speaker 1: at least it's not you know, freezing and terrible, and

519
00:23:41,240 --> 00:23:42,560
Speaker 1: then all of a sudden you go right back to

520
00:23:42,560 --> 00:23:44,679
Speaker 1: getting kicked in the teeth. That is the hardest thing

521
00:23:44,720 --> 00:23:47,600
Speaker 1: about living in the Midwest is the fluctuation of weather.

522
00:23:48,040 --> 00:23:50,200
Speaker 1: That one day it'll be sixty, the next day it'll

523
00:23:50,240 --> 00:23:52,000
Speaker 1: be negative tent and you just have to live with that.

524
00:23:52,080 --> 00:23:54,320
Speaker 1: I do think that that's something that's out there, and

525
00:23:54,359 --> 00:23:56,720
Speaker 1: I think that that stinks, and it's been that way

526
00:23:56,760 --> 00:23:59,880
Speaker 1: for a very long time. This is not a version

527
00:23:59,920 --> 00:24:03,000
Speaker 1: of me talking about any changes in climate in our society.

528
00:24:03,600 --> 00:24:06,199
Speaker 1: That's not the point, and I love when people do that.

529
00:24:06,240 --> 00:24:09,560
Speaker 1: By the way, I think I've talked about this before.

530
00:24:09,640 --> 00:24:11,800
Speaker 1: I don't know if it's here, but I have mentioned

531
00:24:11,840 --> 00:24:14,719
Speaker 1: before how entertained I am when people tell me that

532
00:24:14,840 --> 00:24:19,159
Speaker 1: like shockingly good weather is an indication that climate change

533
00:24:19,200 --> 00:24:22,199
Speaker 1: is a horrible problem in our society because I like

534
00:24:22,240 --> 00:24:24,320
Speaker 1: to do the opposite. I want to be the person

535
00:24:24,359 --> 00:24:27,440
Speaker 1: that's fear mongering about, you know, the cold snap that's

536
00:24:27,480 --> 00:24:30,200
Speaker 1: tending us back into the dark ages of you know,

537
00:24:30,920 --> 00:24:33,560
Speaker 1: all the things that happened when everything was frozen in

538
00:24:33,640 --> 00:24:36,320
Speaker 1: the world, because that never happens. Man, whenever we have

539
00:24:36,359 --> 00:24:38,919
Speaker 1: a uniquely cold day in the middle of the summer

540
00:24:39,040 --> 00:24:41,440
Speaker 1: or some other time. These same people that are out

541
00:24:41,480 --> 00:24:44,960
Speaker 1: there screaming about how bad things are don't do the opposite.

542
00:24:45,000 --> 00:24:45,520
Speaker 2: And I think they.

543
00:24:45,480 --> 00:24:48,359
Speaker 1: Should just at least do that because it entertained me more.

544
00:24:48,440 --> 00:24:50,960
Speaker 1: It makes more fun for me. And I'm a millennial.

545
00:24:51,000 --> 00:24:53,040
Speaker 1: I'm someone who grew up being taught about climate change

546
00:24:53,080 --> 00:24:55,439
Speaker 1: in school. I'm not necessarily trying to tell you that

547
00:24:55,480 --> 00:24:58,480
Speaker 1: none of it exists, but I think the version of

548
00:24:58,520 --> 00:25:02,640
Speaker 1: it that people talk about is overly dramaticized and crazy,

549
00:25:02,960 --> 00:25:05,000
Speaker 1: and it winds up being not true all the time.

550
00:25:05,160 --> 00:25:08,080
Speaker 1: The projections are always wrong. And even more than that,

551
00:25:08,080 --> 00:25:09,520
Speaker 1: the solution to any of this is not to give

552
00:25:09,560 --> 00:25:11,920
Speaker 1: the government a bunch of money, because if we're learning

553
00:25:12,000 --> 00:25:15,000
Speaker 1: anything in Minnesota or elsewhere, it's if you want to

554
00:25:15,040 --> 00:25:17,280
Speaker 1: fix a problem. The last thing you should do is

555
00:25:17,320 --> 00:25:19,560
Speaker 1: give a whole bunch more money to the government is

556
00:25:19,560 --> 00:25:21,560
Speaker 1: they'll make it worse, not better, and they'll lose a

557
00:25:21,600 --> 00:25:22,840
Speaker 1: lot of the money and steal a lot of the

558
00:25:22,880 --> 00:25:25,119
Speaker 1: money along the way. But anyway, let's move on to

559
00:25:25,200 --> 00:25:28,639
Speaker 1: other things out there. I thought this was interesting. The

560
00:25:28,680 --> 00:25:32,840
Speaker 1: economy doing pretty well according to many people. The CEO

561
00:25:32,920 --> 00:25:35,720
Speaker 1: of Bank of America popped up on face the nation

562
00:25:36,160 --> 00:25:39,680
Speaker 1: to say that there's three different things that he pays

563
00:25:39,720 --> 00:25:42,199
Speaker 1: attention to, and all of those seem to be trending

564
00:25:42,240 --> 00:25:44,919
Speaker 1: in the right direction. Whether or not you feel it

565
00:25:45,040 --> 00:25:49,359
Speaker 1: right now is probably unlikely to be true. And I

566
00:25:49,359 --> 00:25:52,400
Speaker 1: think mostly because of the time of year. To be honest,

567
00:25:52,440 --> 00:25:55,280
Speaker 1: there were times during the Biden administration where they said

568
00:25:55,320 --> 00:26:00,760
Speaker 1: that the inflation of certain things was transitory. They were

569
00:26:00,760 --> 00:26:03,760
Speaker 1: wrong about all that. The high prices that we were

570
00:26:03,800 --> 00:26:06,440
Speaker 1: paying on stuff never went the other way, never went back.

571
00:26:06,440 --> 00:26:09,800
Speaker 1: It was horrible and terrible and a tremendous failure of

572
00:26:09,840 --> 00:26:13,679
Speaker 1: the Biden administration to have things get so expensive so quickly,

573
00:26:14,119 --> 00:26:17,280
Speaker 1: and probably a byproduct of a war on oil and

574
00:26:17,320 --> 00:26:20,760
Speaker 1: gas and energy that makes things as expensive as they are.

575
00:26:21,280 --> 00:26:23,960
Speaker 1: But what's interesting to me is that right now is

576
00:26:24,000 --> 00:26:26,399
Speaker 1: the time of year where people spend way more money

577
00:26:26,400 --> 00:26:29,520
Speaker 1: than they have, regardless of how well the economy is doing.

578
00:26:30,000 --> 00:26:33,320
Speaker 1: Most people choose to overspend on the holidays for the

579
00:26:33,400 --> 00:26:35,919
Speaker 1: loved ones, for their friends, for whoever they think that

580
00:26:35,960 --> 00:26:39,400
Speaker 1: they need to get stuff for. So it's a very

581
00:26:39,400 --> 00:26:42,119
Speaker 1: difficult time to say, hey, things are going better than

582
00:26:42,160 --> 00:26:44,639
Speaker 1: I thought, because you're more likely to be cash strapped

583
00:26:44,680 --> 00:26:46,480
Speaker 1: now than at any other time during the year.

584
00:26:46,880 --> 00:26:48,920
Speaker 2: But here I'll play the audio of the CEO.

585
00:26:48,640 --> 00:26:52,080
Speaker 1: Of Bank of America saying to him things are going well,

586
00:26:52,480 --> 00:26:56,080
Speaker 1: and the economy itself was doing better than people expected.

587
00:26:56,119 --> 00:26:59,520
Speaker 1: I think a full point in Q three more than

588
00:26:59,600 --> 00:27:01,720
Speaker 1: expected for the amount of growth and the amount of

589
00:27:01,720 --> 00:27:04,240
Speaker 1: spending that we're seeing. And again that might be partially

590
00:27:04,240 --> 00:27:05,920
Speaker 1: a byproduct of what I'm saying about the time of

591
00:27:06,000 --> 00:27:06,399
Speaker 1: year it is.

592
00:27:06,720 --> 00:27:08,879
Speaker 2: But hey, good news is good news. But here we go.

593
00:27:09,640 --> 00:27:13,000
Speaker 3: Is that still though stilted towards the upper income bracte?

594
00:27:13,080 --> 00:27:14,480
Speaker 2: Is it that K shaped economy?

595
00:27:14,600 --> 00:27:20,840
Speaker 5: Some people, Yeah, talk about our team. It looks at this, Yes,

596
00:27:20,960 --> 00:27:25,080
Speaker 5: it's the growth freight difference is higher, but all the

597
00:27:25,240 --> 00:27:28,280
Speaker 5: all the third or third or third all three thirds

598
00:27:28,320 --> 00:27:31,720
Speaker 5: are growing and so continue. And that's been continuous, and

599
00:27:31,760 --> 00:27:34,320
Speaker 5: so that that's the question. They grow at different rates,

600
00:27:34,520 --> 00:27:36,760
Speaker 5: but they're all growing, which all means are putting more

601
00:27:36,800 --> 00:27:38,720
Speaker 5: money the economy they did this time last year.

602
00:27:38,840 --> 00:27:39,680
Speaker 2: All right, that's good.

603
00:27:39,960 --> 00:27:42,120
Speaker 1: He's saying again that the people at the top are

604
00:27:42,160 --> 00:27:44,199
Speaker 1: making more money that their income.

605
00:27:44,240 --> 00:27:44,480
Speaker 2: There.

606
00:27:44,640 --> 00:27:48,320
Speaker 1: You know, financial successes is going a certain direction. But

607
00:27:48,560 --> 00:27:51,480
Speaker 1: and K shaped is an interesting term for it, when

608
00:27:51,520 --> 00:27:53,840
Speaker 1: really the Bank of America is saying more E shaped.

609
00:27:53,880 --> 00:27:57,240
Speaker 1: He's saying more every single layer is doing well, not

610
00:27:57,359 --> 00:28:00,320
Speaker 1: the middle layer is doing poorly, which is used what

611
00:28:00,359 --> 00:28:02,560
Speaker 1: the people unfaced the nation. I want to tell you,

612
00:28:02,760 --> 00:28:04,760
Speaker 1: whether you believe that or not, whether you experience that

613
00:28:04,880 --> 00:28:07,760
Speaker 1: or not, it seems to be the underlying truth.

614
00:28:08,160 --> 00:28:09,680
Speaker 2: Also, I thought this was interesting.

615
00:28:10,160 --> 00:28:13,880
Speaker 1: This is Scott Jennings talking about the success that existed

616
00:28:13,880 --> 00:28:17,080
Speaker 1: within the economy and then also talking about the success

617
00:28:17,119 --> 00:28:20,440
Speaker 1: that's existed within immigration. And I know there are people

618
00:28:20,440 --> 00:28:22,960
Speaker 1: that think that Trump is going way too far, doing

619
00:28:23,000 --> 00:28:24,879
Speaker 1: way too much as far as the amount of people

620
00:28:24,920 --> 00:28:27,080
Speaker 1: that are here illegally that are not going to be

621
00:28:27,119 --> 00:28:29,840
Speaker 1: allowed to stay. But this was a campaign promise that

622
00:28:29,880 --> 00:28:32,119
Speaker 1: he made. He said that he would fix this and

623
00:28:32,160 --> 00:28:36,119
Speaker 1: it got tremendously worse under Biden. It got so bad,

624
00:28:36,560 --> 00:28:38,640
Speaker 1: And this is always sort of the barometer for me

625
00:28:38,720 --> 00:28:41,120
Speaker 1: that I think is interesting that the South Side of

626
00:28:41,200 --> 00:28:47,360
Speaker 1: Chicago overwhelmingly liberal, overwhelmingly minorities, mostly black people who live

627
00:28:47,440 --> 00:28:50,080
Speaker 1: in the South Side of Chicago. They were complaining that

628
00:28:50,120 --> 00:28:52,760
Speaker 1: they thought the immigration system was broken and too much

629
00:28:52,800 --> 00:28:54,640
Speaker 1: money was going to communities.

630
00:28:54,160 --> 00:28:56,280
Speaker 2: That weren't theirs, and how unfair it was.

631
00:28:56,680 --> 00:29:00,239
Speaker 1: And that's a group of people that overwhelmingly vote, you know,

632
00:29:00,360 --> 00:29:05,080
Speaker 1: democratic politicians into positions of power, whether it's mayors in Chicago, presidents,

633
00:29:05,080 --> 00:29:07,600
Speaker 1: what have you. They were likely to be turning on

634
00:29:07,680 --> 00:29:11,680
Speaker 1: the people that you know they typically vote for because

635
00:29:11,680 --> 00:29:14,120
Speaker 1: they're upset that things are going in the direction they're going. So,

636
00:29:14,520 --> 00:29:17,800
Speaker 1: how do you fix something that gets that broken disproportionately?

637
00:29:18,160 --> 00:29:20,760
Speaker 1: How do you seesaw it back the other way? You

638
00:29:20,840 --> 00:29:24,680
Speaker 1: do what Trump is doing. You might have to significantly

639
00:29:24,760 --> 00:29:27,440
Speaker 1: change the amount of people who are currently here and

640
00:29:27,520 --> 00:29:29,360
Speaker 1: do it in a way where even a lot of

641
00:29:29,400 --> 00:29:32,680
Speaker 1: mainstream media outlets and others complain that like you're ripping

642
00:29:32,760 --> 00:29:35,200
Speaker 1: mothers from their families, even though buy and large it's

643
00:29:35,200 --> 00:29:37,440
Speaker 1: not actually true. But I think that this is the

644
00:29:37,440 --> 00:29:40,440
Speaker 1: way you respond to someone doing what Biden did while

645
00:29:40,440 --> 00:29:43,040
Speaker 1: he was in office. But here's Jennings talking about it

646
00:29:43,080 --> 00:29:45,720
Speaker 1: and how it is also simply a campaign promise that's

647
00:29:45,760 --> 00:29:46,680
Speaker 1: been fulfilled.

648
00:29:47,520 --> 00:29:49,880
Speaker 6: Well, look, I think on the immigration piece, it's been

649
00:29:49,920 --> 00:29:53,280
Speaker 6: as big as success this year. It's the biggest promise fulfilled.

650
00:29:54,040 --> 00:29:57,480
Speaker 6: We've had two and a half million people deported. A

651
00:29:57,520 --> 00:29:59,640
Speaker 6: significant number of the more self deported, you know, they

652
00:29:59,720 --> 00:30:02,240
Speaker 6: use the government's app or just decided to leave the

653
00:30:02,240 --> 00:30:03,120
Speaker 6: country altogether.

654
00:30:03,200 --> 00:30:05,280
Speaker 1: And by the way, he says, the significant number one

655
00:30:05,320 --> 00:30:09,160
Speaker 1: point nine million of the two point five million people

656
00:30:09,640 --> 00:30:12,640
Speaker 1: left on their own, they left with cash in their hands.

657
00:30:12,760 --> 00:30:14,479
Speaker 1: I think they get three thousand right now. They were

658
00:30:14,480 --> 00:30:17,880
Speaker 1: getting a thousand before it. So a vast majority of

659
00:30:17,920 --> 00:30:21,360
Speaker 1: the people, eighty percent of the individuals who've left this

660
00:30:21,480 --> 00:30:24,240
Speaker 1: country during this term in office so far for the president,

661
00:30:24,560 --> 00:30:28,200
Speaker 1: have done so of their own choosing. That feels important

662
00:30:28,200 --> 00:30:29,840
Speaker 1: to mention too, to the people who are saying, you

663
00:30:29,880 --> 00:30:33,440
Speaker 1: know that ICE is this horrible organization that's ruining lives

664
00:30:33,480 --> 00:30:37,200
Speaker 1: and families throughout the country that feels disconnected from the

665
00:30:37,240 --> 00:30:38,240
Speaker 1: simple stat here we're going.

666
00:30:38,280 --> 00:30:41,360
Speaker 6: So when I talked to Republicans and Trump supporters around

667
00:30:41,400 --> 00:30:43,840
Speaker 6: the country. They're more than thrilled with the aggressive nature

668
00:30:43,880 --> 00:30:45,520
Speaker 6: of it. You know, we haven't passed any new immigration

669
00:30:45,600 --> 00:30:48,440
Speaker 6: laws since Donald Trump became the president. Again, we're just

670
00:30:48,600 --> 00:30:51,640
Speaker 6: enforcing the laws that we have, something the previous administration

671
00:30:52,120 --> 00:30:54,040
Speaker 6: would not do. So I know the left is treated

672
00:30:54,080 --> 00:30:56,200
Speaker 6: this as some big controversy, but I don't know what's

673
00:30:56,240 --> 00:30:59,280
Speaker 6: controversial about the president just simply enforcing the laws that

674
00:30:59,280 --> 00:30:59,800
Speaker 6: are on the books.

675
00:31:00,040 --> 00:31:02,400
Speaker 1: Yeah, I don't know what it's controversial about that either, Scott.

676
00:31:02,440 --> 00:31:04,400
Speaker 1: And even more important than that, and this is what

677
00:31:04,440 --> 00:31:06,520
Speaker 1: I think is really interesting is is Trump is not

678
00:31:06,600 --> 00:31:09,200
Speaker 1: alone as far as a president who has deported people.

679
00:31:09,440 --> 00:31:12,720
Speaker 1: Outside of Biden, You've seen deportations and quite a few

680
00:31:12,720 --> 00:31:15,760
Speaker 1: of them in other administrations. Even the Obama administration had

681
00:31:15,760 --> 00:31:18,280
Speaker 1: deported a lot of people. And how dare they do that?

682
00:31:18,600 --> 00:31:21,760
Speaker 1: I was not, for some reason, the reaction of mainstream media.

683
00:31:21,800 --> 00:31:24,560
Speaker 1: It's just this time around, because you don't want any

684
00:31:24,600 --> 00:31:28,000
Speaker 1: success to be success. You want everything to be a failure,

685
00:31:28,440 --> 00:31:31,320
Speaker 1: one way or another, whatever it might be. That to

686
00:31:31,400 --> 00:31:33,640
Speaker 1: me is essentially the way that mainstream media wakes up

687
00:31:33,640 --> 00:31:35,480
Speaker 1: in the morning and decides they're going to cover Trump

688
00:31:35,760 --> 00:31:36,640
Speaker 1: is that it has to be bad.

689
00:31:36,680 --> 00:31:37,560
Speaker 2: It has to be terrible.

690
00:31:38,360 --> 00:31:40,360
Speaker 1: We have to find out how, and mostly it has

691
00:31:40,400 --> 00:31:44,080
Speaker 1: to be just identity terrible. It has to be identity politics.

692
00:31:44,360 --> 00:31:47,000
Speaker 1: He's a bad person. He's racist, he's sexist, he's something

693
00:31:47,520 --> 00:31:50,960
Speaker 1: as opposed to you know, he's simply now enforcing a

694
00:31:51,040 --> 00:31:54,080
Speaker 1: law that did exist before and the previous administration didn't

695
00:31:54,120 --> 00:31:56,960
Speaker 1: want to enforce for a bunch of political reasons. All right, Well,

696
00:31:56,960 --> 00:31:59,240
Speaker 1: take a break. A lot coming up. Greg Collins filling

697
00:31:59,280 --> 00:32:04,480
Speaker 1: in ending Casey ninety three WYBC. This is the Kendall

698
00:32:04,560 --> 00:32:08,600
Speaker 1: and Casey Show on ninety three WIBC. My name is

699
00:32:08,720 --> 00:32:11,000
Speaker 1: Craig Collins, filling in. Thrilled to be with you. Producer

700
00:32:11,040 --> 00:32:14,360
Speaker 1: Kylon is hanging out as well on special assignment. I

701
00:32:14,400 --> 00:32:17,120
Speaker 1: do like these stories when they come out, mostly because

702
00:32:17,120 --> 00:32:19,280
Speaker 1: it just means I feel smart, So that's always good.

703
00:32:19,400 --> 00:32:20,480
Speaker 2: I think that's always a good thing.

704
00:32:20,840 --> 00:32:24,360
Speaker 1: But apparently New York City teachers discovered the young people

705
00:32:24,520 --> 00:32:28,200
Speaker 1: teenagers can't read clocks. The reason that they discovered this

706
00:32:28,280 --> 00:32:30,280
Speaker 1: is they took away cell phones and then the kids

707
00:32:30,280 --> 00:32:31,600
Speaker 1: had no idea what time it was.

708
00:32:32,080 --> 00:32:33,240
Speaker 2: I imagine this might be.

709
00:32:33,200 --> 00:32:35,920
Speaker 1: A bit of an exaggeration. Although it might also be true.

710
00:32:36,160 --> 00:32:37,640
Speaker 1: But if you have like a clock in the back

711
00:32:37,680 --> 00:32:40,080
Speaker 1: of the room on the wall, the way that everybody

712
00:32:40,120 --> 00:32:43,360
Speaker 1: remembers in school, looking up at that thing and hoping

713
00:32:43,360 --> 00:32:45,160
Speaker 1: for it to go faster so you get to leave

714
00:32:45,320 --> 00:32:47,840
Speaker 1: and go home from school, Apparently the kids now have

715
00:32:47,840 --> 00:32:50,000
Speaker 1: no idea what's going on is they can't see the

716
00:32:50,000 --> 00:32:52,280
Speaker 1: digital version on their phone if it's in a bin

717
00:32:52,720 --> 00:32:54,560
Speaker 1: somewhere in the front of the room. I was just

718
00:32:54,720 --> 00:32:57,440
Speaker 1: very upsetic, apparently for the kids. But I find this

719
00:32:57,560 --> 00:33:01,640
Speaker 1: uniquely hilarious and also terrible. If you're in a school

720
00:33:01,680 --> 00:33:04,080
Speaker 1: system and you notice the children can't read a clock,

721
00:33:04,440 --> 00:33:06,560
Speaker 1: I feel like you take a whole day you teach

722
00:33:06,600 --> 00:33:08,720
Speaker 1: them that that's a life skill that they need. I

723
00:33:08,760 --> 00:33:12,720
Speaker 1: go ahead and throw out the math itinerary for the day,

724
00:33:12,920 --> 00:33:16,000
Speaker 1: and let's just do clocks until we get past that topic,

725
00:33:16,320 --> 00:33:17,680
Speaker 1: and then we'll go on to other things.

726
00:33:18,000 --> 00:33:19,320
Speaker 2: I don't think schools do that enough.

727
00:33:19,480 --> 00:33:22,800
Speaker 1: If you notice a problem that's very basic with a

728
00:33:22,880 --> 00:33:25,520
Speaker 1: large amount of the people in the school, let's go

729
00:33:25,560 --> 00:33:28,520
Speaker 1: ahead and switch the curriculum for twenty four hours to

730
00:33:28,680 --> 00:33:31,000
Speaker 1: get through that roadblock. We also need to bring back

731
00:33:31,040 --> 00:33:33,360
Speaker 1: things like shop class. I think the kids know how

732
00:33:33,360 --> 00:33:35,640
Speaker 1: to make stuff. But Kylin, did you want to weigh

733
00:33:35,640 --> 00:33:37,800
Speaker 1: in on the teenagers don't know how to read clock story?

734
00:33:38,120 --> 00:33:39,720
Speaker 2: I would absolutely believe it.

735
00:33:40,360 --> 00:33:43,160
Speaker 4: I had problems reading the clock growing up, and I

736
00:33:43,320 --> 00:33:46,800
Speaker 4: was taught it during school, So like them, not even

737
00:33:46,920 --> 00:33:49,200
Speaker 4: learning it is absolutely believable.

738
00:33:49,240 --> 00:33:51,480
Speaker 2: Yeah, yeah, they.

739
00:33:51,680 --> 00:33:54,920
Speaker 4: I think it's also fine if you feel like you

740
00:33:55,040 --> 00:33:56,960
Speaker 4: need to be smarter, if you ever want like a

741
00:33:56,960 --> 00:34:00,360
Speaker 4: little confidence booster, sure, just remember that I went through

742
00:34:00,360 --> 00:34:04,840
Speaker 4: school without AI, without AI doing it working, I say, you, yep.

743
00:34:05,520 --> 00:34:08,319
Speaker 1: Anything, Yes, I know, I'm aware of this. I went

744
00:34:08,360 --> 00:34:10,520
Speaker 1: through a school without a whole lot of that existing

745
00:34:10,560 --> 00:34:13,600
Speaker 1: at all. AI couldn't do anything for me, and not

746
00:34:13,680 --> 00:34:16,600
Speaker 1: even just AI, there were even other cheats that didn't exist.

747
00:34:16,640 --> 00:34:18,919
Speaker 1: The best thing I had was spark notes. I don't

748
00:34:18,920 --> 00:34:19,960
Speaker 1: know if you even know what that is.

749
00:34:20,000 --> 00:34:20,680
Speaker 2: Do you know what that is?

750
00:34:20,800 --> 00:34:20,960
Speaker 5: Oh?

751
00:34:21,000 --> 00:34:22,960
Speaker 1: Yeah, okay, spark notes. Yeah okay, good, I didn't know.

752
00:34:22,960 --> 00:34:24,959
Speaker 1: I don't know who knows what that is. Spark Notes

753
00:34:25,000 --> 00:34:26,759
Speaker 1: was when you could not read a book, but you

754
00:34:26,760 --> 00:34:28,759
Speaker 1: could read the abridged version in the highlights of the

755
00:34:28,800 --> 00:34:31,920
Speaker 1: book online on a specific website and then feel like

756
00:34:31,920 --> 00:34:34,560
Speaker 1: you kind of knew what it was My favorite as

757
00:34:34,560 --> 00:34:36,880
Speaker 1: far as the way cheating used to work in college,

758
00:34:36,960 --> 00:34:39,080
Speaker 1: and I didn't do this, but it did happen, is

759
00:34:39,120 --> 00:34:41,440
Speaker 1: when someone noticed that you copy and pasted something out

760
00:34:41,480 --> 00:34:44,560
Speaker 1: of Wikipedia and then put it into your paper, and

761
00:34:44,560 --> 00:34:45,839
Speaker 1: then you got in trouble for it.

762
00:34:45,880 --> 00:34:47,040
Speaker 2: I had a buddy that did that.

763
00:34:47,000 --> 00:34:50,840
Speaker 1: Multiple times, and every time it failed because it was

764
00:34:50,880 --> 00:34:53,200
Speaker 1: way too easy to check in on why that was

765
00:34:53,239 --> 00:34:55,200
Speaker 1: a thing he was doing. And I love the fact

766
00:34:55,239 --> 00:34:57,080
Speaker 1: that every time it happened, he was still mystified.

767
00:34:57,080 --> 00:34:58,399
Speaker 2: He's like, I don't know how they figured it out.

768
00:34:58,640 --> 00:35:01,880
Speaker 1: I only took that one paragraph entirely from Wikipedia, but

769
00:35:01,960 --> 00:35:04,480
Speaker 1: that was our version of AI, the Internet version of

770
00:35:04,520 --> 00:35:07,480
Speaker 1: the Encyclopedia. I was the closest we got. But now

771
00:35:07,520 --> 00:35:09,680
Speaker 1: everybody writes, you know, my mom's a teacher. I don't

772
00:35:09,680 --> 00:35:12,720
Speaker 1: know if I've mentioned this before. She's mostly a guidance counselor,

773
00:35:12,760 --> 00:35:15,680
Speaker 1: but she actually teaches classes too, from college courses and

774
00:35:15,719 --> 00:35:19,480
Speaker 1: whatnot in Indiana. Actually is where she lives. I don't

775
00:35:19,480 --> 00:35:20,799
Speaker 1: want to say where because she always gets mad at

776
00:35:20,840 --> 00:35:24,160
Speaker 1: me want to do that. But anyway, she uses AI

777
00:35:24,239 --> 00:35:27,080
Speaker 1: to grade papers. She's told me this before, and her

778
00:35:27,120 --> 00:35:29,960
Speaker 1: favorite part of AI helping her grade the paper. Is

779
00:35:30,000 --> 00:35:32,680
Speaker 1: it identifies if it's if it's grading other AI.

780
00:35:33,080 --> 00:35:35,280
Speaker 2: It tries to tell. It's like, we think this is AI.

781
00:35:35,640 --> 00:35:39,200
Speaker 1: You don't know for sure, but apparently it's competing against itself,

782
00:35:39,520 --> 00:35:41,520
Speaker 1: you know, where the one AI writes the thing and

783
00:35:41,560 --> 00:35:44,279
Speaker 1: the other AI decides if it's a real thing or

784
00:35:44,280 --> 00:35:46,520
Speaker 1: if it's actually artificial intelligence that wrote it.

785
00:35:47,160 --> 00:35:50,239
Speaker 4: My sister is a ghost copywriter and has to do

786
00:35:50,280 --> 00:35:54,840
Speaker 4: similar fantastic where she ghost writes for whatever the assignment is.

787
00:35:54,880 --> 00:35:58,560
Speaker 4: Oh yeah, and for turning it in, she has to

788
00:35:58,600 --> 00:36:00,920
Speaker 4: put it through this AI tester so they know that

789
00:36:00,960 --> 00:36:03,919
Speaker 4: she didn't use AI. And when she puts it through,

790
00:36:04,000 --> 00:36:05,920
Speaker 4: even though she wrote all of it, she puts it

791
00:36:05,960 --> 00:36:08,240
Speaker 4: through and then has to rewrite everything because they believe

792
00:36:08,280 --> 00:36:11,000
Speaker 4: it's AI because wow, how it was done.

793
00:36:11,080 --> 00:36:13,400
Speaker 2: Yeah, it's pros and cons.

794
00:36:14,440 --> 00:36:14,600
Speaker 4: You know.

795
00:36:14,680 --> 00:36:15,080
Speaker 2: I wonder.

796
00:36:15,239 --> 00:36:17,839
Speaker 1: I wonder because here let's do something that's a little

797
00:36:17,840 --> 00:36:20,040
Speaker 1: bit liberal in nature, where you blame somebody for something.

798
00:36:20,080 --> 00:36:22,359
Speaker 1: I wonder if the robots are being humanists, if they

799
00:36:22,360 --> 00:36:24,600
Speaker 1: think that we're too smart and so then they say,

800
00:36:24,600 --> 00:36:26,040
Speaker 1: now this's got to be us. This has got to

801
00:36:26,080 --> 00:36:28,600
Speaker 1: be computers and not humans. And so then they claim

802
00:36:28,640 --> 00:36:31,000
Speaker 1: that it's AI when it's just a smart human that's

803
00:36:31,000 --> 00:36:31,520
Speaker 1: doing a thing.

804
00:36:31,719 --> 00:36:32,640
Speaker 2: I think that's what it is.

805
00:36:32,960 --> 00:36:35,880
Speaker 1: I think it's it's human racism by the computers that

806
00:36:35,920 --> 00:36:36,439
Speaker 1: are out there.

807
00:36:36,320 --> 00:36:39,800
Speaker 2: In the world. I love that. I'm definitely kidding. I

808
00:36:39,800 --> 00:36:42,480
Speaker 2: don't know where we've gotten. Yeah, tongue in cheek saying that,

809
00:36:42,520 --> 00:36:43,120
Speaker 2: by the way, but.

810
00:36:43,480 --> 00:36:45,600
Speaker 4: We need to bring back the life skills classes like

811
00:36:45,640 --> 00:36:48,600
Speaker 4: you said, like shop class, you're cooking and you're sewing

812
00:36:48,719 --> 00:36:49,160
Speaker 4: all of it.

813
00:36:49,480 --> 00:36:52,280
Speaker 1: Absolutely, yeah, No, I think a great day in school

814
00:36:52,280 --> 00:36:54,439
Speaker 1: would be like just to puncture somebody's tire and see

815
00:36:54,480 --> 00:36:56,440
Speaker 1: what happens. Like all the kids get to school and

816
00:36:56,440 --> 00:36:58,480
Speaker 1: then you pop a tire. Maybe you have the spare

817
00:36:58,520 --> 00:37:01,319
Speaker 1: ready and you're like, children, fix this, and if they

818
00:37:01,360 --> 00:37:02,759
Speaker 1: can't do it, that's bad.

819
00:37:02,920 --> 00:37:05,239
Speaker 2: We got to do other things. Do you know how

820
00:37:05,239 --> 00:37:06,319
Speaker 2: to change a tire on a car?

821
00:37:06,480 --> 00:37:10,480
Speaker 4: I sure do, Okay, I learned that dad. Yep, my

822
00:37:10,560 --> 00:37:12,200
Speaker 4: dad had a flat when I was in the car

823
00:37:12,239 --> 00:37:14,360
Speaker 4: with him. So he's like, all right, learning lesson, let's.

824
00:37:14,160 --> 00:37:16,799
Speaker 2: Go come on out. You know what's funny about this?

825
00:37:16,960 --> 00:37:17,279
Speaker 2: I don't.

826
00:37:17,320 --> 00:37:18,840
Speaker 1: I'm not trying to break bad on the missus I

827
00:37:18,840 --> 00:37:21,600
Speaker 1: love my wife. She's awesome, she's amazing. She's from Mexico.

828
00:37:22,040 --> 00:37:24,680
Speaker 1: In Mexico, just like in New Jersey where I was born,

829
00:37:25,080 --> 00:37:27,200
Speaker 1: you don't pump your own gas. That people pump it

830
00:37:27,239 --> 00:37:29,880
Speaker 1: for you. You pull up, they do everything, You do nothing.

831
00:37:30,120 --> 00:37:32,520
Speaker 1: And so my wife, even though she definitely knows how

832
00:37:32,560 --> 00:37:34,840
Speaker 1: to do it now and it's not that hard, still

833
00:37:34,880 --> 00:37:37,319
Speaker 1: freaks out every time she pulls up at the gas

834
00:37:37,360 --> 00:37:39,560
Speaker 1: station to pump the gas and then makes me go

835
00:37:39,640 --> 00:37:41,600
Speaker 1: with her and do it for her because she thinks

836
00:37:41,600 --> 00:37:43,600
Speaker 1: she's gonna do something wrong. She thinks the gas is

837
00:37:43,600 --> 00:37:44,800
Speaker 1: gonna spill all over the place.

838
00:37:45,400 --> 00:37:46,000
Speaker 2: I love that.

839
00:37:46,120 --> 00:37:49,200
Speaker 1: I think that's hilarious and also a way for me

840
00:37:49,239 --> 00:37:51,520
Speaker 1: to be a man that saves the day, which is

841
00:37:51,520 --> 00:37:53,520
Speaker 1: something that most men want to be. I think quite

842
00:37:53,600 --> 00:37:55,680
Speaker 1: often we need to be called in to save the

843
00:37:55,760 --> 00:37:59,120
Speaker 1: day in any situation. If you have a can that's

844
00:37:59,120 --> 00:38:01,239
Speaker 1: too tight and I need to open it instead of you,

845
00:38:01,440 --> 00:38:04,759
Speaker 1: I feel like a a spartan for the rest of

846
00:38:04,800 --> 00:38:07,080
Speaker 1: the day because I open that can. The same is

847
00:38:07,120 --> 00:38:08,640
Speaker 1: true when I pump her gas. But I just love

848
00:38:08,680 --> 00:38:10,719
Speaker 1: the fact that it's just it's a life thing. She

849
00:38:10,760 --> 00:38:13,279
Speaker 1: didn't experience it where she was all right. I think

850
00:38:13,320 --> 00:38:15,439
Speaker 1: I did that nicely. We'll take a break. More coming

851
00:38:15,520 --> 00:38:17,360
Speaker 1: up in a bit. Craig Collin's filling in on the

852
00:38:17,440 --> 00:38:18,399
Speaker 1: Kendall and Casey Show.