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Speaker 1: All right, then back on the Big One, seven hundred

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Speaker 1: WLW nine seven. It is Thursday night. This is the

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Speaker 1: Thursday night edition of the Midweek Crisis. I'm Dan Carrol,

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Speaker 1: glad to be here. Glad you are here as well.

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Speaker 1: Russ Jackson is running the big board in the seven

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Speaker 1: hundred WLW command center. Conglines are open five three, seven, four, nine, seven,

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Speaker 1: eight hundred. The Big One are the numbers to call

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Speaker 1: if you want to get on board. So the super

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Speaker 1: Bowl was Sunday, and every year after the super Bowl

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Speaker 1: when I have my first Midweek Crisis show, I like

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Speaker 1: to take time and I like to go back and

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Speaker 1: take a look at the Super Bowl commercials. I realized

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Speaker 1: that the super Bowl commercials aren't as big of a

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Speaker 1: deal now as they used to be. I mean, there

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Speaker 1: was a time when everyone talked about it and we

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Speaker 1: had there was a lot of commercials that would come

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Speaker 1: out before the super Bowl. This year, I think there

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Speaker 1: was one, maybe two. There was one, you know, the

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Speaker 1: Budweiser commercial came out, which was pretty cool. I thought,

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Speaker 1: I want to talk a little bit more about Budweiser

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Speaker 1: a little bit later on. But uh, I don't know

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Speaker 1: if there was that many great super Bowl commercials this year.

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Speaker 1: But in any case, when I break down the Super

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Speaker 1: Bowl commercials and do do my critique, I'm always joined

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Speaker 1: by my buddy Steve Oldfield, who back in his day

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Speaker 1: was a movie critic and now teaches about media and

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Speaker 1: things like that at Thomas Moore University, and he's a

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Speaker 1: movie maker in his own right. And Steve Oldfield, it's

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Speaker 1: great to have you back on seven hundred WLW. How

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Speaker 1: you doing.

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Speaker 2: Oh great, man. I look forward to this every year,

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Speaker 2: and I look forward to talking to you more than

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Speaker 2: I do watching the commercials and the super Bowl guys.

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Speaker 1: Well, yeah, they didn't. They didn't really set a high

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Speaker 1: bar this year, did they. Yeah? I mean I really

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Speaker 1: thought as a group, as a group, it was it

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Speaker 1: was not a particularly strong showing for TV Canroad Super

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Speaker 1: Bowl commercial Oh no, no.

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Speaker 2: And all I've got to figure is they've decided that

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Speaker 2: the main demographic of the Super Bowl is what you

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Speaker 2: call a code monkey or a computer nerd, because there

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Speaker 2: were so many AI commercials and commercials that you know,

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Speaker 2: we're for a company that you've never heard of, you're

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Speaker 2: never going to use, you know, give me more potato

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Speaker 2: chips and beer commercials, right, I don't need commercials for

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Speaker 2: some AI product that I'm probably never gonna never going

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Speaker 2: to look at.

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Speaker 1: As I mean, here we are today is Thursday. The

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Speaker 1: super Bowl is Sunday, so we are four days removed

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Speaker 1: from the game and all those commercials, And to be

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Speaker 1: honest with you, I cannot remember one company. I mean,

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Speaker 1: I've got my notes here, we're gonna we're going to

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Speaker 1: run into some of them. But if you asked me

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Speaker 1: to remember the name of one AI company or one

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Speaker 1: AI commercial, I don't think I'd be able to do it.

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Speaker 1: I mean, I really don't.

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Speaker 2: I definitely wouldn't either. And I will tell you that

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Speaker 2: the main thing that a commercial is trying to do, obviously,

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Speaker 2: is to have an image that sticks in your brain

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Speaker 2: along with their name. And I can only think of

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Speaker 2: three or four images from all those commercials that stuck

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Speaker 2: with me, and and a lot of the names or

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Speaker 2: secondary you know, like you look at the commercial and

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Speaker 2: you think, what is this advertising? You can't even figure

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Speaker 2: out what the product is they're trying to pitch, and

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Speaker 2: then the name comes up at the end you've never

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Speaker 2: heard of and they spend millions of dollars on that day.

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Speaker 2: And that's the part that's so crazy to me.

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Speaker 1: Yeah. Out of all the commercials that ran, I've got

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Speaker 1: stars by six of them, which means that were there

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Speaker 1: were a total of six that stood out to me,

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Speaker 1: and one is an AI commercial and it was on

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Speaker 1: towards the end and it wasn't I didn't start it

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Speaker 1: because it was a great commercial, but it was mec

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Speaker 1: I wrote. Let me say, I wrote of all, okay,

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Speaker 1: this this is where the guy thinks of all the

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Speaker 1: bad things that could happen, what if AI were to

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Speaker 1: come about. I thought it was entertaining because he fought

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Speaker 1: a bear, he's in the pool, the pool closes over

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Speaker 1: the top of his head. The house explodes.

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Speaker 2: Yeah, yeah, yeah. That was Chris Hemsworth with Alexa with

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Speaker 2: like a new version of Alecxa. That was extremely clever.

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Speaker 2: That was and I actually it was funny.

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Speaker 1: You see, go ahead, no, go ahead, funny.

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Speaker 2: You say that because I just went to that part

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Speaker 2: in my notes and I have a star by that too,

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Speaker 2: So yeah, I thought that was very clever.

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Speaker 1: But again, go ahead, no, I cut you off. I'm sorry, no, wrong.

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Speaker 2: But the other part of that is did that really

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Speaker 2: serve the purpose? Because they're making light of the fact

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Speaker 2: that people are afraid of this stuff when AI. But

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Speaker 2: part of me was thinking, could that really happen to me?

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Speaker 2: Do I really want Alexa? Right? So I think that

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Speaker 2: was kind of part of you know, they're making light

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Speaker 2: of the concerns people have, but some people might be like, oh,

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Speaker 2: I never thought of that. I don't wonder if that

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Speaker 2: could happen to me. So it's kind of undermining their

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Speaker 2: whole purpose of doing the commercial in the first place.

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Speaker 1: Yeah, I think that does tap into a little bit

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Speaker 1: of the other side of the issue. Instead of instead

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Speaker 1: of all the great things that I can do for you,

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Speaker 1: look what it can do to you. And so they

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Speaker 1: brought out the humor in that, and that was the

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Speaker 1: best of the bunch. And I was thinking during the

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Speaker 1: course of the day today because one of the commercials

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Speaker 1: that was on during the Super Bowl was the one

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Speaker 1: with William Shatner and he calls himself will shatt and

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Speaker 1: he's still in the commercial for Raisin Brand, which I've

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Speaker 1: got to start by that one because I like that one,

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Speaker 1: and I was thinking, if I was doing an AI commercial,

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Speaker 1: I would have William Shatner talking with a younger version

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Speaker 1: of himself as Captain Kirk and I think that is

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Speaker 1: fertile ground for a lot of good comedy right there.

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Speaker 1: Because William Shatner, I mean he plays in all these commercials,

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Speaker 1: he plays essentially the same. He's a caricature of himself,

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Speaker 1: which I don't think. I can't think of anyone in

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Speaker 1: entertainment that does a better job at that than William.

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Speaker 2: Shafton, I would agree. The only other one who pokes

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Speaker 2: fun in himself that way is Mike Tyson. Oh, he

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Speaker 2: was in a commercial as well. You know, it's funny

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Speaker 2: you say that because every year it's like the same

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Speaker 2: twenty actors that they hire to be in these commercials,

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Speaker 2: and a lot of them are in our age group,

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Speaker 2: and I wonder what a twenty something or high school

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Speaker 2: kid thinks of them. I mean, they had on one

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Speaker 2: of the Jenners, Kendall Jenner was in a commercial. But

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Speaker 2: do we really need to Matthew Broderick commercials. You know,

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Speaker 2: I've never understood his appeal to me. He's looking more

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Speaker 2: and more like a friend of Ellen. He looks more

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Speaker 2: like an old lesbian than a guy. I just don't

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Speaker 2: get Matthew Broderick's appeal. Bless his heart, Yeah, you know

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Speaker 2: what I mean, it's like the same Oh, there's the

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Speaker 2: Matthew Brodder commercial, there's the Ben Stiller commercial. You know

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Speaker 2: there's it's like the same people every year.

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Speaker 1: Yeah. I wonder if the twenty somethings and the thirty

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Speaker 1: year olds really have a good concept of Mike Tyson,

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Speaker 1: who he is, what he's been through in his life.

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Speaker 1: Because as I watch that commercial with Mike Tyson talking

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Speaker 1: about food and he's talking about his life experience, I'm

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Speaker 1: thinking there are few, if any, who really bring more

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Speaker 1: authenticity to those kind of appearances than he does, because

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Speaker 1: we know his life for a period of time was

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Speaker 1: absolutely careening out of control. And you look at the

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Speaker 1: just yeah, I mean the sky skyrocketing success he had

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Speaker 1: when you know, starting when he was just nineteen years old,

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Speaker 1: and all the things he had to deal with, and

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Speaker 1: the bad marriage and all the bad pub and everything else,

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Speaker 1: and how much he's been through. I just think the

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Speaker 1: authenticity that he brings to anything I think he's he's

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Speaker 1: probably a lot more marketable than I think. He probably

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Speaker 1: even thinks some.

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Speaker 2: Health I completely agree with you, and you know, I'll

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Speaker 2: never forget. I was doing interviews for the first Hangover movie. Yeah,

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Speaker 2: and he stole the show in Over movie. He was

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Speaker 2: willing to poke front of himself. They created this larger

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Speaker 2: than life character that had a was it a lion

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Speaker 2: or a tiger? I can't remember. I think it was

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Speaker 2: a lot. You know that he kept in the South,

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Speaker 2: but he played along and everybody loved him. And I

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Speaker 2: think after that appearance in the Hangover movie, that's where

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Speaker 2: Madison Avenue and all the people who do these commercials

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Speaker 2: were like, you know what, people loved him, and I

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Speaker 2: think I think that that's why he keeps work. He

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Speaker 2: deserves to me in one every year. A lot of

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Speaker 2: these other people don't.

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Speaker 1: That's fact. Let's go right to the top and in

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Speaker 1: case anyone's wondering, the commercials that we that we talk

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Speaker 1: about and the ones that we review are commercials that

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Speaker 1: run during the course of the game, So anything from

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Speaker 1: the coin flip until the final whistle are the ones

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Speaker 1: that we review. So the ones that are outside the

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Speaker 1: actual game itself. And maybe you have something you saw

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Speaker 1: there that you liked, you can call and tell us

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Speaker 1: about that if you want to. But I look at

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Speaker 1: the very first commercial that came up, and this was

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Speaker 1: Danny McBride and I forget the other guy's name, but

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Speaker 1: they they were, you know, I guess the real estate agents,

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Speaker 1: and the gal says, so you're not really like State Farm,

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Speaker 1: and then they start doing the bad John bon Jovie covers.

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Speaker 2: I thought that we're halfway there.

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Speaker 1: Yeah, I thought that was pretty entertaining. I got I

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Speaker 1: got a kick out of it. And then the reason

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Speaker 1: I'm a big Danny McBride fan, and the guy is

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Speaker 1: so over the top, he's so funny. I thought he

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Speaker 1: made that. He made that work.

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Speaker 2: And for those of us who spent some of our

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Speaker 2: favorite years of our lives in the nineteen ins hearing

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Speaker 2: that song, hearing all of that, and it was a

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Speaker 2: clever take because the whole thing, we're halfway there, basically

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Speaker 2: this company is halfway as good as State Farm. Yeah,

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Speaker 2: I thought, as far as pay clever exactly, And I

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Speaker 2: thought maybe of all the commercials, that was the most

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Speaker 2: clever use of song and stuff, and I just, uh,

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Speaker 2: I loved it. I would agree with you. That was

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Speaker 2: a very strong start.

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Speaker 1: And you got a cameo by John bon Jovi in there, So,

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Speaker 1: I mean, I thought that was pretty cool.

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Speaker 2: How cool was that?

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Speaker 1: Yeah? Yeah, so so that one actually got a star

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Speaker 1: for me. Uh, let me see. Then there was a

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Speaker 1: Draft King spot. I didn't care about that. Toyota did Toyota.

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Speaker 1: Toyota did a spot where they have I guess, uh,

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Speaker 1: these kids bumping around with themselves as older professionals. I

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Speaker 1: thought it was a little bit of a swing and

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Speaker 1: a miss. I thought it was hard. It was too

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Speaker 1: hard for me to understand what the kids were saying,

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Speaker 1: and so the whatever the inspirational message was there sort

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Speaker 1: of got lost for me.

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Speaker 2: I totally agree. And you know part of this, I wonder,

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Speaker 2: like those SNL guys for the Draft Kings, they're the

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Speaker 2: guys who do Weekend Update. Was that specifically because the

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Speaker 2: Super Bowl was on an NBC network, that they picked

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Speaker 2: all these NBC people to be in these commercials because

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Speaker 2: I don't think they have much of an appeal. I

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Speaker 2: don't think Saturday Night Live has the name recognition that

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Speaker 2: it did back in the days with like Lushi and

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Speaker 2: you know, Steve Martin and Eddie Murphy and all those people.

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Speaker 2: I I I don't see why you would pick those

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Speaker 2: two guys, except for the game was on nd Maybe

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Speaker 2: that's why they did that.

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Speaker 1: Yeah, No, I couldn't. I couldn't. I couldn't name anyone

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Speaker 1: who's on Who's Who's on Saturday Night Live. Now, let's see,

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Speaker 1: there was a Ben Stiller commercial where they had bananas

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Speaker 1: dancing around. Uh, I wrote down stupid. I just thought

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Speaker 1: that was stupid. Uh. Thet the Ultra commercial with Kurt

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Speaker 1: Russell and he's like, you know, the uh kind of

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Speaker 1: the ghost like ski trainer. I didn't mind that one.

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Speaker 1: I actually I thought, Uh, as far as casting went,

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Speaker 1: I thought Kurt Russell was the perfect guy for that.

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Speaker 1: I thought he was really really good in that.

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Speaker 2: Well, you know, it's funny. He and Goldie Hahn have

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Speaker 2: a house and I think it's Aspen for Vale. And

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Speaker 2: I used to live in Colorado and a buddy of

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Speaker 2: mine did work at their air like chateau or a

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Speaker 2: big house they have in the mountain, and he loved them.

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Speaker 2: He said they were great people. But every room of

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Speaker 2: the house had magazine covers and pictures of them. So

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Speaker 2: he said he'd be like standing in the bathroom taking

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Speaker 2: a leak and there's a big smiling magazine cover of

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Speaker 2: that looking back on him. And he always thought that

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Speaker 2: was a little weird, But yeah, that's something. But I

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Speaker 2: will tell you I've interviewed Kurt probably three or four

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Speaker 2: times in my life. He is a awesome dude. He's

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Speaker 2: every bit as cool as you'd think he would be.

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Speaker 2: So I love that commercials. I've never had to make

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Speaker 2: a low balter in my life, but I like the

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Speaker 2: commercial and maybe I'll order one now. Who knows.

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Speaker 1: I like him ultra. I don't drink them all the time,

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Speaker 1: but I'm always glad when i'm do, and I always

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Speaker 1: tell myself that, as I say, this beer is pretty good. Uh,

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Speaker 1: let's see, there was there was a Jeff Goldbloom commercial

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Speaker 1: for apartments dot com, and you know, to my way

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Speaker 1: of thinking this, this is kind of I don't know

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Speaker 1: Jeff Goldbloom, apartments dot Com. I guess this relationship probably

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Speaker 1: goes back seven or eight years, maybe longer than that.

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Speaker 1: I just feel like this thing has run its course.

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Speaker 1: I don't think, you know, I think they keep trying

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Speaker 1: to outdo themselves. I don't think the bar was set

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Speaker 1: that high for them to begin with, and I just

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Speaker 1: think they keep missing the mark and they're really if

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Speaker 1: it feels like they're trying too hard and not really

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Speaker 1: getting the getting the job done.

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Speaker 2: Yeah, and I don't understand his appeal, like I don't

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Speaker 2: understand Matthew Brothers. Jeff Goldbloom is a nice person. Again,

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Speaker 2: I've interviewed him, but bless is hard. Yeah, he's just

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Speaker 2: weird and I think little kids would think he was weird.

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Speaker 2: The whole concept places you can't live, so they're sitting

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Speaker 2: on a runway, they're in the space station. It's like, Okay,

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Speaker 2: we get it, but it's you know, I agree with you.

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Speaker 2: It was it was it was very weak.

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Speaker 1: Yeah. Then there was a Serena Williams commercial about weight loss.

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Speaker 1: I wrote down, nothing special there, website.

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Speaker 2: Special there, and she's very you know, I've interviewed both

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Speaker 2: her and and Venus, and Venus is sweet and nice.

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Speaker 2: And Serena I always felt was kind of full of herself.

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Speaker 2: So whenever I see her in a commercial, I'm just like, eh,

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Speaker 2: enough of the Serena, you know.

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Speaker 1: Yeah, I just I didn't think that was anything A

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Speaker 1: great The website commercial was unfor was forgettable.

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Speaker 3: Uh.

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Speaker 1: I mean then we had code, we had codex AI.

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Speaker 4: Uh.

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Speaker 1: Then so I wrote down, this was a great commercial

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Speaker 1: to look at. But the problem here was that they

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Speaker 1: waited till the very end of the spot to reveal

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Speaker 1: what the product was and exactly and it was it was,

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Speaker 1: you know, it was an Ai Brandy. I wrote down

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Speaker 1: that they buried the lead on this. But other than

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Speaker 1: being great to look at, I don't think that. I

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Speaker 1: just think that spot was kind of a waste of

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Speaker 1: time as well.

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Speaker 2: Yeah, and it was a very high end, very well shot.

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Speaker 2: I mean, if you were doing we were judging commercials

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Speaker 2: on the way they were edited and put together, it

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Speaker 2: was really really impressive. But like you said, codex open AI,

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Speaker 2: what the heck is that? Anyway? And how many people

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Speaker 2: sitting around, you know, trying to get another wing or

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Speaker 2: trying to get some more cheese dip or another beer

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Speaker 2: are going to look at that and be like, oh,

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Speaker 2: codex open AI, I use that or I want to

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Speaker 2: use that, you know. I just think what a waste

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Speaker 2: of money for that company.

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Speaker 1: Yeah, you know, these advertising agencies have put this stuff together.

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Speaker 1: I hope they hear this show, and I hope maybe

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Speaker 1: they contact us and have us you would be great

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Speaker 1: look look at their work before they commit all this

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Speaker 1: money to it.

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Speaker 2: Or even just tell them, hey, what's your product? The

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Speaker 2: super Bowl isn't the place for you yeah, maybe a

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Speaker 2: big audience, but they would be better advertising Codex open

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Speaker 2: AI on what's that really obnoxious show where the four

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Speaker 2: nerdy guys lived together and there was one cute girl

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Speaker 2: and the science nerds.

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Speaker 1: No, I don't know, Big Bang Theory, whatever's.

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Speaker 2: Name is, And then they did it. And then they

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Speaker 2: did a show with the young version of him.

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Speaker 1: Yeah, that's Big Bang Theory, that one in the young Sheldon.

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Speaker 2: Yeah, exactly. Spend your money on reruns a Big Bang

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Speaker 2: Theory instead of the super Bowl, and your money would

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Speaker 2: be much better spent.

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Speaker 1: Yeah, let's see. Then we had we had a trailer

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Speaker 1: for a Brad Pitt Netflix show that's coming up. I guess,

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Speaker 1: I guess that'll be all right. I don't know, the

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Speaker 1: liquid death energy drink with the exploding heads. I didn't

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Speaker 1: think that was funny.

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Speaker 2: That was creepy. I really hated that commercial.

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Speaker 1: Yeah, I didn't like that at all. Then there was

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Speaker 1: another AI where there was this scrawny kid is is

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Speaker 1: trying to work out and he's talking to the to

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Speaker 1: the older buff guy and uh yeah, I mean that

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Speaker 1: were there was nothing there that brought that commercial together.

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Speaker 1: That's like a waste of time. And then this one.

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Speaker 1: I'm a little bit I'm a little bit torn on

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Speaker 1: this one Lace Potato Chips, where they've got the farmer

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Speaker 1: and the daughter and uh, look, I'm all about you know,

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Speaker 1: trying to be sentimental, nostalgia and all that, but when

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Speaker 1: it comes to being nostalgic or sentimental about a potato

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Speaker 1: chip company, that's a that's a little bit of a

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Speaker 1: stretch for me.

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Speaker 2: You know. It's funny because when I first when I

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Speaker 2: first started, I thought he was dying and then I realized.

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Speaker 2: I didn't realize until the end where they show he's

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Speaker 2: at a retirement party that's like a surprise party. I

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Speaker 2: was like, Oh, I guess he isn't dying, he's just retiring. Yeah,

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Speaker 2: it did work for me. I thought it missed the mark.

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Speaker 1: All right, Steve Oldfield, we got to get to a break, so,

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Speaker 1: uh yeah, stay right where you are and we will

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Speaker 1: get back to you as we continue to reveal and

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Speaker 1: you are our super Bowl commercials and well, if you

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Speaker 1: if you want to chime in, we would like to

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Speaker 1: hear from you. If you got something that you like

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Speaker 1: during the Super Bowl, or you think we're wrong about something.

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Speaker 1: Five one, three, seven, four, nine, seven thousand, one, eight

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Speaker 1: hundred the Big One, and we will continue on the

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Speaker 1: Thursday night edition of The Midweek Crisis on seven hundred WLW.

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Speaker 1: Tied back on the Big One, seven hundred W l

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Speaker 1: W nine thirty eight, nine thirty nine Now Dan Carrol

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Speaker 1: till midnight tonight on the Thursday night edition of The

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Speaker 1: Midweek Crisis, joined by Steve Oldfield, And we are talking

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Speaker 1: about Super Bowl commercials. And Steve, we got a caller

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Speaker 1: on the line. This is Rick and Dallas. And Rick,

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Speaker 1: you want to weigh in on something you saw in

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Speaker 1: the Super Bowl.

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Speaker 3: No, you make comments about Shaftman, Yeah, William Shaftan about

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Speaker 3: here at director.

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Speaker 2: You know I'm gonna give you a ive sharing on

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Speaker 2: Star Trek.

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Speaker 1: Yeah, the first you are the first set for Generation. Uh.

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Speaker 2: I will give a little pushback from there.

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Speaker 3: You know who he who stole I believe he took

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Speaker 3: his active matter arrhythms from He actually stole them from

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Speaker 3: this guy. You know who that is?

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Speaker 1: No, I do not.

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Speaker 2: Uh, Darren McGavin.

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Speaker 3: If you look, Darren mcgalvin was my favorite actor when

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Speaker 3: he was on River Bowl.

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Speaker 1: You move with River Bowl back to the way back,

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Speaker 1: like you know what I mean? The name sounds familiar,

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Speaker 1: but I can't put a face to the name Steve

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Speaker 1: Oldfield Darren McGavin. Is that all the Nightstalker? Okay, that's right.

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Speaker 2: Do we have Steve Yeah, yeah, yeah, yeah, yeah, yeah

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Speaker 2: the night Stalker?

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Speaker 1: Okay, I thank you. See Russe's Russe has got all

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Speaker 1: the answers on this. Russe is talking to my ear.

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Speaker 1: He knew that. And now I remember Darren McGahn did.

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Speaker 1: Did Williams Shuder Steelers acting style from Darren McGavin.

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Speaker 2: Kind of looks like it. Yeah, all right, I surprised.

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Speaker 2: That's really that's really something.

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Speaker 1: All right, well, Russ, you're going to have to do

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Speaker 1: this post they do this in there so I can

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Speaker 1: get them both on the air at the same time.

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Speaker 1: But Rick, thank you very much for that call. So Steve,

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Speaker 1: we left off were right towards the end of the

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Speaker 1: first quarter. Now, uh, squar Space had a spot on

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Speaker 1: that it was black and white that had this kind

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Speaker 1: of film noir looked. Am I saying that right? Film noir?

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Speaker 1: Film noir?

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Speaker 2: Yeah, film noir? Yeah, Emma Stone.

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Speaker 1: Yeah, I mean the star of It kind of had

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Speaker 1: that look and kind of had that feel to it.

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Speaker 1: But I actually went back and watched that one today

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Speaker 1: because I wasn't sure about it and it just didn't

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Speaker 1: seem like it had a lot of substance. So another

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Speaker 1: one that you know, from a production standpoint, looked really good,

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Speaker 1: but there just wasn't a whole lot.

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Speaker 2: There, No, and you didn't know what it was for.

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Speaker 2: And I bentioned some people like their bank tagline was

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Speaker 2: get your domain before you lose it. How many people

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Speaker 2: again watching the super Bowl having fun with their friends

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Speaker 2: in the neighborhood are going to actually go out and

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Speaker 2: purchase a domain that have their own website?

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Speaker 4: You know?

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Speaker 2: That just doesn't make any sense to me.

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Speaker 1: Yeah, A good, good point. Let's see then we have

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Speaker 1: the T mobile on at the Backstreet boys. I guess

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Speaker 1: that was fine, all right. This one, the next one

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Speaker 1: here is really interesting to me. And this was the

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Speaker 1: Pepsi commercial with yeah with the with the polar Bear,

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Speaker 1: and this is and I wrote down someone over at

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Speaker 1: Coke has got to be really mad about this, because

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Speaker 1: I mean, Pete, look, you and I have have that

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Speaker 1: institutional knowledge of for for decades, the polar bear and

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Speaker 1: the Coca Cola was such an iconic symbol, such an

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Speaker 1: iconic pairing and so for for you know, people who

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Speaker 1: are maybe in their twenties, they don't have that knowledge

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Speaker 1: that that was such a strong image there. And now

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Speaker 1: you have the Polar Bear, who he flunks the taste test.

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Speaker 1: He picks the pepsi and he's you know, he's seeing

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Speaker 1: the shrink and he sees the people on the it's

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Speaker 1: a place and they're having a pepsi and he wants

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Speaker 1: to come out. And and so he's having all these

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Speaker 1: these issues because he leads. The Polar Bear desides he

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00:22:07,880 --> 00:22:11,840
Speaker 1: likes pepsi better than coke. And and I'm thinking to myself,

434
00:22:11,880 --> 00:22:15,920
Speaker 1: this this was I mean, this was like corporate wealth

435
00:22:16,119 --> 00:22:20,040
Speaker 1: or not welfare, but corporate corporate warfare. I mean with

436
00:22:20,040 --> 00:22:23,760
Speaker 1: with pepsi stealing one of one of the great icons

437
00:22:23,760 --> 00:22:24,520
Speaker 1: of Coca Cola.

438
00:22:26,080 --> 00:22:30,840
Speaker 2: Yeah, it's it's definitely gutsy. And we'll have to watch

439
00:22:30,880 --> 00:22:33,359
Speaker 2: and see if there are any lawsuits from it. But

440
00:22:33,440 --> 00:22:35,800
Speaker 2: I'm sure they I'm sure they checked all that before

441
00:22:35,840 --> 00:22:38,160
Speaker 2: they did it. And you gotta love it because it's

442
00:22:38,240 --> 00:22:41,359
Speaker 2: it's really daring. And you know, I thought it was

443
00:22:41,440 --> 00:22:42,320
Speaker 2: I thought it was clever.

444
00:22:42,760 --> 00:22:45,159
Speaker 1: Yeah, but I just wonder how much of that was

445
00:22:45,240 --> 00:22:47,680
Speaker 1: lost on the audience.

446
00:22:47,240 --> 00:22:51,000
Speaker 2: Because you're right, that's a really great question. Yeah, but again,

447
00:22:51,680 --> 00:22:53,720
Speaker 2: what's so weird about this is so many of the

448
00:22:53,760 --> 00:22:57,000
Speaker 2: products are not for people at our age group, you know,

449
00:22:57,040 --> 00:23:01,120
Speaker 2: the over forty crowd or over fifty crowd. But yet

450
00:23:01,280 --> 00:23:05,520
Speaker 2: all the cultural references in the spots are geared at us,

451
00:23:05,760 --> 00:23:07,680
Speaker 2: so they go right over the heads of the young

452
00:23:07,760 --> 00:23:12,639
Speaker 2: people who they're actually gearing the products for, right, So

453
00:23:12,680 --> 00:23:14,960
Speaker 2: that doesn't there's a disconnect.

454
00:23:14,320 --> 00:23:19,479
Speaker 1: There, Yeah, definitely. So yeah, so, but I totally enjoyed

455
00:23:19,480 --> 00:23:22,040
Speaker 1: the Pepsi commercial with the polar bear and.

456
00:23:22,240 --> 00:23:22,639
Speaker 2: I did too.

457
00:23:22,720 --> 00:23:25,400
Speaker 1: It's going to be interesting to see if anything more

458
00:23:25,440 --> 00:23:27,639
Speaker 1: comes of that. Then let me see. Then we have

459
00:23:27,720 --> 00:23:32,440
Speaker 1: the Rocket mortgage commercial. They went for the emotional button there,

460
00:23:32,440 --> 00:23:35,840
Speaker 1: talking about the great neighborhoods, you know, and I think,

461
00:23:36,080 --> 00:23:38,480
Speaker 1: I think that messaging is fine, but I just don't

462
00:23:38,520 --> 00:23:43,160
Speaker 1: know how a mortgage company makes someone be a great

463
00:23:43,200 --> 00:23:46,080
Speaker 1: neighbor or or you know, is somehow involved in the

464
00:23:46,119 --> 00:23:50,119
Speaker 1: neighborhood that creates engenders these feelings between neighbors.

465
00:23:51,200 --> 00:23:53,120
Speaker 2: I will tell you. I'm going to give a plug here.

466
00:23:53,160 --> 00:23:57,040
Speaker 2: There's a great website with an excellent articles spot. The

467
00:23:57,080 --> 00:24:01,760
Speaker 2: website's called fast company that looks of tech design and

468
00:24:01,760 --> 00:24:04,640
Speaker 2: all kinds of hip things. But it really is excellent

469
00:24:04,760 --> 00:24:08,720
Speaker 2: articles and they wrote an entire giant article on this spot.

470
00:24:08,960 --> 00:24:10,760
Speaker 2: The first thing that they said that I thought was

471
00:24:10,800 --> 00:24:16,000
Speaker 2: really interesting. That spot cost Rocket Mortgage eight million dollars.

472
00:24:16,119 --> 00:24:19,959
Speaker 2: And if you were advertising in the Super Bowl, Dan,

473
00:24:20,440 --> 00:24:22,720
Speaker 2: it wasn't enough to spend eight million dollars on that

474
00:24:22,760 --> 00:24:26,879
Speaker 2: one spot. NBC required every advertiser in the Super Bowl

475
00:24:27,160 --> 00:24:30,879
Speaker 2: to spend an additional eight million dollars to buy ads

476
00:24:30,920 --> 00:24:35,080
Speaker 2: on on like the Olympics, another sports broadcast. So you're

477
00:24:35,080 --> 00:24:38,959
Speaker 2: looking at sixteen million dollars just to play ball with

478
00:24:39,040 --> 00:24:43,440
Speaker 2: these people. Yeah, and you know, Lady Gaga had that

479
00:24:43,560 --> 00:24:46,000
Speaker 2: kind of haunting rendition of won't you be my neighbor

480
00:24:46,040 --> 00:24:49,560
Speaker 2: the mister Russong. My question was, and I'm always sensitive

481
00:24:49,600 --> 00:24:51,360
Speaker 2: about this, and I think a lot of our audience

482
00:24:51,480 --> 00:24:55,879
Speaker 2: probably are too, was this some subversive thing because of

483
00:24:55,880 --> 00:24:58,960
Speaker 2: the casting of who they chose for the families was

484
00:24:59,040 --> 00:25:03,200
Speaker 2: the one family immigrants family and using the terms of

485
00:25:03,280 --> 00:25:06,800
Speaker 2: the Democrats undocumented, you know, like it was it was

486
00:25:06,800 --> 00:25:10,240
Speaker 2: it somehow meant to be a positive spin on that.

487
00:25:10,440 --> 00:25:13,560
Speaker 2: Was there some subversive political stuff going on? There or

488
00:25:13,600 --> 00:25:15,439
Speaker 2: did you just think they were just trying to be

489
00:25:15,560 --> 00:25:17,439
Speaker 2: all nice and happy.

490
00:25:17,680 --> 00:25:19,919
Speaker 1: No, you were. I think you right into it a

491
00:25:19,920 --> 00:25:22,679
Speaker 1: lot more than I did. I just I just didn't.

492
00:25:23,040 --> 00:25:26,879
Speaker 1: I just can't connect a mortgage company, but you know,

493
00:25:26,960 --> 00:25:31,359
Speaker 1: and trying to engender these feelings of community and somehow

494
00:25:31,760 --> 00:25:35,439
Speaker 1: I can look kindly upon my mortgage company because you know,

495
00:25:35,880 --> 00:25:40,000
Speaker 1: I have great neighbors, you know, I you know, I've got,

496
00:25:40,040 --> 00:25:42,280
Speaker 1: you know, fifty neighbors on my street and there's probably

497
00:25:42,280 --> 00:25:43,640
Speaker 1: fifty different mortgage companies.

498
00:25:45,000 --> 00:25:45,200
Speaker 4: Yeah.

499
00:25:46,040 --> 00:25:48,119
Speaker 2: Yeah, the one thing, the one thing they're.

500
00:25:47,880 --> 00:25:49,120
Speaker 1: Not making the connection there.

501
00:25:50,600 --> 00:25:52,359
Speaker 2: The one thing they did that was cool though. They

502
00:25:52,400 --> 00:25:55,520
Speaker 2: had a contest and somebody I never heard who won it,

503
00:25:55,520 --> 00:25:59,439
Speaker 2: but somebody won like a million dollar home. Really yeah, okay,

504
00:25:59,480 --> 00:26:02,760
Speaker 2: well of them, so that was that was kind of cool.

505
00:26:02,760 --> 00:26:05,119
Speaker 2: But no, I'm in complete agreement. It's another one of

506
00:26:05,119 --> 00:26:07,160
Speaker 2: those where they just kind of missed.

507
00:26:08,240 --> 00:26:11,159
Speaker 1: Yeah, no doubt about it. Let's see. Uh, there was

508
00:26:11,200 --> 00:26:13,600
Speaker 1: a dub solap commercial that didn't feel like a Super

509
00:26:13,640 --> 00:26:17,720
Speaker 1: Bowl caliber spot to me. The Leviy's girls in sports

510
00:26:17,800 --> 00:26:20,680
Speaker 1: and yeah, the Levi I think Levi Ey's has lost

511
00:26:20,720 --> 00:26:23,480
Speaker 1: their way. That was, you know, thirty seconds of looking

512
00:26:23,520 --> 00:26:26,280
Speaker 1: at people's butts and jeans. That didn't work for me

513
00:26:26,359 --> 00:26:29,480
Speaker 1: at all. Let me see, then we had the nerd gummies.

514
00:26:29,520 --> 00:26:31,879
Speaker 1: I don't care about that. Then this next spot there,

515
00:26:31,920 --> 00:26:33,879
Speaker 1: there's actually two spots in a row here that I've

516
00:26:33,920 --> 00:26:36,639
Speaker 1: got stars by. And the next one, this might be

517
00:26:36,720 --> 00:26:39,960
Speaker 1: my favorite one of the night. This is Matthew McConaughey

518
00:26:39,960 --> 00:26:44,159
Speaker 1: and Bradley Cooper. Uh the Uber Eats, I mean the

519
00:26:44,240 --> 00:26:47,520
Speaker 1: Uber Eats. You know they've been on this, uh, this

520
00:26:47,520 --> 00:26:52,560
Speaker 1: this theme that that football is nothing more than a

521
00:26:52,640 --> 00:26:54,399
Speaker 1: ploy to get you to eat food or make you

522
00:26:54,480 --> 00:26:59,199
Speaker 1: hungrier or on food. And I thought Matthew McConaughey was

523
00:26:59,400 --> 00:27:02,280
Speaker 1: just killing in this ad. I thought it was funny.

524
00:27:02,720 --> 00:27:06,000
Speaker 1: I thought it was you know, a great nexcell. And

525
00:27:06,040 --> 00:27:09,280
Speaker 1: Bradley Cooper had a spot before where you know, he's

526
00:27:09,359 --> 00:27:11,719
Speaker 1: in this board meeting and he's talking about how the

527
00:27:11,720 --> 00:27:14,800
Speaker 1: greatest day of his life was ruined because they love

528
00:27:14,880 --> 00:27:19,040
Speaker 1: all these this talk about food and football is food

529
00:27:19,400 --> 00:27:22,360
Speaker 1: and so McConaughey is just like doubling down and just

530
00:27:22,359 --> 00:27:25,720
Speaker 1: just rubbing it in. And I thought that to my

531
00:27:25,760 --> 00:27:28,560
Speaker 1: way of thinking, this this commercial had everything. I really

532
00:27:28,600 --> 00:27:28,840
Speaker 1: liked it.

533
00:27:29,119 --> 00:27:31,840
Speaker 2: Well. I will. I will tell you he is major

534
00:27:31,920 --> 00:27:34,840
Speaker 2: Bank Matthew McConaughey. When it comes to commercials, he deserves

535
00:27:34,880 --> 00:27:37,480
Speaker 2: to be in one every year because he's really smart

536
00:27:37,520 --> 00:27:41,080
Speaker 2: at commercials. I've interviewed him three or four time. He's

537
00:27:41,200 --> 00:27:43,679
Speaker 2: every bit as odd as you might think he is

538
00:27:43,720 --> 00:27:45,639
Speaker 2: in real life. One time I interviewed him and he

539
00:27:45,720 --> 00:27:49,440
Speaker 2: was drinking that Yerba mate that you know, high caffeinated

540
00:27:49,480 --> 00:27:52,840
Speaker 2: tea from Argentina out through to this little wooden spoon.

541
00:27:53,080 --> 00:27:56,320
Speaker 2: And he's apparently we used to play the bongos naked

542
00:27:56,359 --> 00:27:58,760
Speaker 2: in his house. I guess you heard that story. But

543
00:27:58,800 --> 00:28:01,119
Speaker 2: he what I what I would thinking of when I

544
00:28:01,160 --> 00:28:04,320
Speaker 2: watched this. I spent too many years in LA and

545
00:28:04,359 --> 00:28:08,000
Speaker 2: when I saw commercial, I thought to myself, it looks

546
00:28:08,080 --> 00:28:11,080
Speaker 2: like he's had work done. If you go back and

547
00:28:11,119 --> 00:28:14,240
Speaker 2: watch that, it looks like he had some bad plastic surgery,

548
00:28:14,640 --> 00:28:19,040
Speaker 2: like a facelift or something. And I, oh, yeah, go

549
00:28:19,119 --> 00:28:22,479
Speaker 2: back and watch the commercial again the first the first

550
00:28:22,520 --> 00:28:25,720
Speaker 2: time you see him. The lighting was different on different shots.

551
00:28:25,880 --> 00:28:28,320
Speaker 2: But I thought, oh, that doesn't look too good, you know.

552
00:28:28,560 --> 00:28:30,800
Speaker 2: And uh so that's what I was thinking when I

553
00:28:30,840 --> 00:28:34,280
Speaker 2: was starting it too. He looks like he had some

554
00:28:34,680 --> 00:28:36,960
Speaker 2: had some work done, as we would say, but no,

555
00:28:37,119 --> 00:28:38,880
Speaker 2: it's a winner of a spot that two of them

556
00:28:38,880 --> 00:28:42,040
Speaker 2: were great together. I'd love to see them in another

557
00:28:42,120 --> 00:28:43,920
Speaker 2: you know, put them in a movie together, as like

558
00:28:43,960 --> 00:28:45,840
Speaker 2: the odd couple. I mean, I thought, I thought it

559
00:28:45,880 --> 00:28:48,920
Speaker 2: was a really clever, clever spot at a lot of levels.

560
00:28:49,040 --> 00:28:52,200
Speaker 1: Yeah, well that that may be my favorite spot of

561
00:28:52,200 --> 00:28:54,520
Speaker 1: the night. Then the next one I really enjoyed too,

562
00:28:54,880 --> 00:28:56,600
Speaker 1: because it was so out of the blue. It was

563
00:28:56,640 --> 00:29:02,840
Speaker 1: so unexpected. Yeah, guy Fieri is so silly selling Bosh

564
00:29:02,920 --> 00:29:07,200
Speaker 1: power tools, and I just you know, you know, I'm

565
00:29:07,200 --> 00:29:10,320
Speaker 1: not an average guy. And first when I had to

566
00:29:10,360 --> 00:29:12,520
Speaker 1: watch it again because at first I didn't recognize it

567
00:29:12,560 --> 00:29:15,000
Speaker 1: was him playing the average guy and then the guy

568
00:29:15,040 --> 00:29:18,000
Speaker 1: Fieri guy, you know, playing himself, and it was just

569
00:29:18,080 --> 00:29:20,680
Speaker 1: I thought it was very clever. It was, it was funny.

570
00:29:21,960 --> 00:29:25,680
Speaker 1: I still maybe I'm a little unsure why Guy Fieri

571
00:29:25,800 --> 00:29:29,080
Speaker 1: is selling Bosh power tools, but I still thought it was.

572
00:29:30,600 --> 00:29:33,240
Speaker 1: I just it just it was so unexpected and so

573
00:29:33,320 --> 00:29:35,160
Speaker 1: out of the blue for me, it.

574
00:29:35,200 --> 00:29:39,600
Speaker 2: Worked, and it really, I mean, what an amazing I

575
00:29:39,640 --> 00:29:43,040
Speaker 2: had seen it had been weaked photos of him looked

576
00:29:43,080 --> 00:29:45,680
Speaker 2: like the other guy. So I knew that going in, okay,

577
00:29:46,880 --> 00:29:50,880
Speaker 2: because yeah, but if you didn't know that, what a

578
00:29:50,880 --> 00:29:53,960
Speaker 2: great surprise. And he is one of the true American

579
00:29:54,080 --> 00:29:56,920
Speaker 2: I mean, that's what I'll be honest, My guilty Pleasure

580
00:29:57,000 --> 00:30:00,000
Speaker 2: show at two in the morning. There's a cable stage

581
00:30:00,080 --> 00:30:03,240
Speaker 2: and it does nothing but air diners, dives.

582
00:30:02,880 --> 00:30:09,600
Speaker 1: And yeah, legitimate superstar man, he really is.

583
00:30:09,960 --> 00:30:13,600
Speaker 2: Yeah, that's my favorite show. Some of my favorite restaurants

584
00:30:13,600 --> 00:30:16,440
Speaker 2: in Cincinnati have been featured on there in the Northern

585
00:30:16,520 --> 00:30:21,640
Speaker 2: Kentucky And so no, he's another bankable person who deserves

586
00:30:21,640 --> 00:30:25,040
Speaker 2: to be in a commercial every every year, like Matthew McConaughey.

587
00:30:25,160 --> 00:30:28,120
Speaker 1: Yeah, he made a big splash with that one right there.

588
00:30:28,200 --> 00:30:30,520
Speaker 1: So I like that one a lot. Let's see. Then

589
00:30:30,560 --> 00:30:35,520
Speaker 1: there was a Microsoft ai Ad ai AD. I didn't

590
00:30:35,560 --> 00:30:40,880
Speaker 1: care about that, another anti Semitism spot, which didn't really

591
00:30:41,320 --> 00:30:45,120
Speaker 1: I don't. I'm totally neutral about that one. Then you

592
00:30:45,160 --> 00:30:49,360
Speaker 1: have the singing toilets, and again I thought it was

593
00:30:49,440 --> 00:30:51,440
Speaker 1: it was too clever by half. It was too clever

594
00:30:51,520 --> 00:30:54,720
Speaker 1: for its own good. It's a it's a commercial about

595
00:30:54,760 --> 00:30:57,040
Speaker 1: the importance of staying hydrated, and I guess you have

596
00:30:57,400 --> 00:30:59,680
Speaker 1: put this powder in your water and somehow that helps

597
00:30:59,680 --> 00:31:02,760
Speaker 1: you stay hydrated. But I thought the messaging that was

598
00:31:02,880 --> 00:31:06,400
Speaker 1: because you go on. You go almost through the whole commercial,

599
00:31:06,760 --> 00:31:09,440
Speaker 1: and I said, my wife and my son are sitting there,

600
00:31:09,480 --> 00:31:11,479
Speaker 1: and I'm saying, why are we seeing? Why are these

601
00:31:11,520 --> 00:31:13,720
Speaker 1: toilets singing? Why do we have singing toilets?

602
00:31:13,920 --> 00:31:17,560
Speaker 2: Exactly? Yeah, exactly exactly, And I will tell you. I

603
00:31:17,600 --> 00:31:20,520
Speaker 2: work with a rugby team and Thomas Moore half the

604
00:31:20,520 --> 00:31:22,360
Speaker 2: guys on the team, or I did the Liquid IV.

605
00:31:22,600 --> 00:31:25,360
Speaker 2: Everybody loves it. I use it when I played tennis

606
00:31:25,360 --> 00:31:28,479
Speaker 2: and when I work out. It's an amazing product. And

607
00:31:28,520 --> 00:31:30,880
Speaker 2: I sat through the whole spot thinking what is this?

608
00:31:31,400 --> 00:31:34,040
Speaker 2: What is this about? The singing toilets were kind of fun?

609
00:31:34,200 --> 00:31:36,120
Speaker 2: But when Liquid IV came up at the end, I

610
00:31:36,160 --> 00:31:39,800
Speaker 2: was like, eh, and I'm a big fan of their stuff,

611
00:31:39,920 --> 00:31:43,240
Speaker 2: like I spend way too much money. It's real expensive stuff.

612
00:31:43,560 --> 00:31:46,240
Speaker 2: But no, I don't get it. I think it was stupid.

613
00:31:46,360 --> 00:31:49,440
Speaker 1: Yeah, I didn't like that. And then then you had

614
00:31:49,240 --> 00:31:54,200
Speaker 1: Adrian Brody with a Turbo tax commercial. I don't do happy.

615
00:31:54,320 --> 00:31:57,560
Speaker 1: I mean, and I don't know what's your feeling on this?

616
00:31:57,720 --> 00:32:00,480
Speaker 1: If first I didn't like it, and then and then

617
00:32:01,120 --> 00:32:03,520
Speaker 1: I actually went back and watched it a couple of times.

618
00:32:03,520 --> 00:32:06,040
Speaker 1: I watched it again today and that spot grew on

619
00:32:06,080 --> 00:32:09,320
Speaker 1: me a little bit. Maybe I missed it the first

620
00:32:09,360 --> 00:32:14,800
Speaker 1: time around, but you know he was, you know, talking

621
00:32:14,800 --> 00:32:16,720
Speaker 1: about the drama of doing your taxes and.

622
00:32:16,960 --> 00:32:20,280
Speaker 2: Kind of yeah, yeah, yeah, yeah, he was being too dramatic. Well,

623
00:32:20,320 --> 00:32:22,480
Speaker 2: you know, it was like the Scarlett Joe Handsome spot

624
00:32:22,560 --> 00:32:25,440
Speaker 2: because or Not Show Chanson, the ms Stone spot where

625
00:32:25,440 --> 00:32:28,960
Speaker 2: it was black and white. The production values were high,

626
00:32:29,280 --> 00:32:31,640
Speaker 2: but it also showed that behind the scenes thing that

627
00:32:31,680 --> 00:32:34,720
Speaker 2: everybody loves the movie making. He poked fun of himself,

628
00:32:34,960 --> 00:32:38,640
Speaker 2: but again, I don't do that, which was his big movie. Yeah,

629
00:32:38,840 --> 00:32:41,120
Speaker 2: you know that was was that twenty years ago that

630
00:32:41,480 --> 00:32:43,960
Speaker 2: he was the Oscar winner, like a long time ago.

631
00:32:44,080 --> 00:32:47,200
Speaker 2: So again, people in our age group kind of got it.

632
00:32:47,240 --> 00:32:50,200
Speaker 2: If you know Adrien Brodie's movies about how many people

633
00:32:50,280 --> 00:32:52,840
Speaker 2: under the age of forty even know who he is

634
00:32:53,040 --> 00:32:56,680
Speaker 2: or what he does. I don't know, and he, for

635
00:32:56,760 --> 00:32:58,840
Speaker 2: the record, is kind of a shy person. But I

636
00:32:58,880 --> 00:33:01,640
Speaker 2: think he's a brilliant actor and a great guy. I

637
00:33:01,760 --> 00:33:03,560
Speaker 2: liked it. I thought it was clever.

638
00:33:03,720 --> 00:33:05,480
Speaker 1: All right. Well, Steve Oldfield, we got to get to

639
00:33:05,520 --> 00:33:07,880
Speaker 1: a break here, you want to hang around for another segment,

640
00:33:07,920 --> 00:33:10,960
Speaker 1: You got at least one more segment in sure, all right, exactly,

641
00:33:11,000 --> 00:33:12,960
Speaker 1: all right, then you stay right there and we will

642
00:33:13,000 --> 00:33:15,080
Speaker 1: get to the news at the top of the hour,

643
00:33:15,120 --> 00:33:17,800
Speaker 1: and we will continue on with my buddy Steve Oldfield

644
00:33:18,120 --> 00:33:21,240
Speaker 1: as we continue to review the Super Bowl commercials from

645
00:33:21,280 --> 00:33:23,520
Speaker 1: the past super Bowl, and again you are welcome to

646
00:33:23,560 --> 00:33:26,920
Speaker 1: weigh in and give us your thoughts as well. Five one, three,

647
00:33:27,400 --> 00:33:30,240
Speaker 1: seven four nine, seven thousand, eight hundred. The big one

648
00:33:30,280 --> 00:33:33,640
Speaker 1: coming up is another another one which I think a

649
00:33:33,680 --> 00:33:36,640
Speaker 1: commercial that I think might have been a lot of

650
00:33:36,680 --> 00:33:40,120
Speaker 1: people's favorite commercial. I think I think the one that

651
00:33:40,120 --> 00:33:43,000
Speaker 1: we're going to talk about next is probably the one

652
00:33:43,400 --> 00:33:47,120
Speaker 1: that has gotten the most talked since the since the

653
00:33:47,120 --> 00:33:49,600
Speaker 1: super Bowl itself. So we will talk about that, and

654
00:33:49,600 --> 00:33:51,920
Speaker 1: we'll talk about Budweiser and all the rest of that

655
00:33:52,200 --> 00:33:54,920
Speaker 1: as we roll on till midnight tonight. Dan Carroll, the

656
00:33:55,000 --> 00:33:57,760
Speaker 1: Thursday Night edition of The Midweek Crisis on seven hundred

657
00:33:58,200 --> 00:34:03,200
Speaker 1: WLW Thursday Night, Thursday Night Edition of the midwek Crisis,

658
00:34:03,240 --> 00:34:05,200
Speaker 1: Signed Dan Carroll, I'm glad to be here, Glad you

659
00:34:05,240 --> 00:34:10,319
Speaker 1: are here as well. Glad Russ jaccident is taking care

660
00:34:10,360 --> 00:34:15,080
Speaker 1: of business in the seven hundred WLW Command Center, and

661
00:34:15,200 --> 00:34:19,000
Speaker 1: tonight is the night when I talk about Super Bowl commercially.

662
00:34:20,640 --> 00:34:23,560
Speaker 1: I do it once a year after the Super Bowl,

663
00:34:24,760 --> 00:34:27,960
Speaker 1: and I always have my buddy Steve Oldfield alongside me

664
00:34:28,000 --> 00:34:31,359
Speaker 1: when when I do that, in Steve Oldfield, we are

665
00:34:31,880 --> 00:34:35,600
Speaker 1: almost completely if these shows take a lot longer than

666
00:34:36,040 --> 00:34:39,440
Speaker 1: you think they're going to, so I'm going to try

667
00:34:39,480 --> 00:34:41,080
Speaker 1: and speed up a little bit. But in any case,

668
00:34:41,080 --> 00:34:44,440
Speaker 1: we got Mark and Monroe who's got a thought on

669
00:34:44,480 --> 00:34:46,880
Speaker 1: the super Bowl and Russ can we make can we

670
00:34:46,920 --> 00:34:48,239
Speaker 1: do it? So we have both of them on at

671
00:34:48,280 --> 00:34:51,839
Speaker 1: the same time. Let Russ handle that in there. But Mark,

672
00:34:51,840 --> 00:34:54,680
Speaker 1: can you hear me? Mark, you're on seven hundred WLW.

673
00:34:54,719 --> 00:34:55,400
Speaker 4: I can hear you?

674
00:34:55,520 --> 00:34:57,719
Speaker 1: Fine, Yeah, go ahead, Mark? What you got.

675
00:35:00,680 --> 00:35:05,760
Speaker 4: To him? As commissioner enough, Cadel, I think he's losing

676
00:35:06,160 --> 00:35:12,480
Speaker 4: traditional football fans by pushing international appeal at the expense

677
00:35:12,520 --> 00:35:18,440
Speaker 4: of global DEI in woke ideology with that, you know,

678
00:35:18,560 --> 00:35:22,279
Speaker 4: especially with that halftime gimmick. And that's my opinion. Yeah,

679
00:35:23,080 --> 00:35:25,400
Speaker 4: well he might as well. He might as well have

680
00:35:25,640 --> 00:35:30,360
Speaker 4: televised the game in Spanish and as far as a

681
00:35:31,080 --> 00:35:34,320
Speaker 4: what I would think would have been a really great

682
00:35:34,880 --> 00:35:39,160
Speaker 4: halftime commercial would be if he would he used Bugs

683
00:35:39,200 --> 00:35:47,680
Speaker 4: Bunny confronting bad Bunny in the uh you know and

684
00:35:47,800 --> 00:35:51,000
Speaker 4: the confrontation. The only problem well, actually it would have

685
00:35:51,040 --> 00:35:56,200
Speaker 4: worked because one would have used this wise guy uh English,

686
00:35:56,880 --> 00:35:59,680
Speaker 4: and nobody would understood what bad Bunny would have been

687
00:35:59,719 --> 00:36:02,680
Speaker 4: saying than Spain. So I think that would have been

688
00:36:02,760 --> 00:36:05,600
Speaker 4: a really great commercial if they could have pulled that off.

689
00:36:05,760 --> 00:36:08,040
Speaker 1: You know what, that's not a bad thought, bug Bugs

690
00:36:08,040 --> 00:36:10,400
Speaker 1: Bunny confronts Bad Bunny, Mark, thank you very much for

691
00:36:10,440 --> 00:36:14,839
Speaker 1: that call. I know, I look, I understand Goodell wants

692
00:36:14,920 --> 00:36:19,040
Speaker 1: to grow the game, But Steve Oldfield, my thinking on

693
00:36:19,200 --> 00:36:23,640
Speaker 1: this is that if I'm if I'm the head of

694
00:36:23,680 --> 00:36:27,120
Speaker 1: the NFL, I look at the NFL, and for so long,

695
00:36:27,880 --> 00:36:31,120
Speaker 1: NFL look at the football. American football is an American game.

696
00:36:31,280 --> 00:36:34,960
Speaker 1: NFL is an American brand. This is an organization that

697
00:36:35,120 --> 00:36:40,839
Speaker 1: plied its trade for decades on Americanism, supporting the military,

698
00:36:41,280 --> 00:36:44,799
Speaker 1: red white and blue, the flyovers mean all that kind

699
00:36:44,800 --> 00:36:48,960
Speaker 1: of stuff, the giant flags on the field. If to

700
00:36:48,960 --> 00:36:51,800
Speaker 1: my way of thinking, if other countries want to enjoy

701
00:36:52,480 --> 00:36:57,320
Speaker 1: this American sport, then that door is wide open. I

702
00:36:57,719 --> 00:37:00,960
Speaker 1: don't feel the need to bend over backwards to get

703
00:37:01,000 --> 00:37:04,800
Speaker 1: other countries to come along. And I don't know. Maybe

704
00:37:05,280 --> 00:37:07,719
Speaker 1: in the future they expand the South America, or they

705
00:37:07,760 --> 00:37:11,440
Speaker 1: expand in Mexico, or they expand somewhere in Europe. Maybe

706
00:37:11,520 --> 00:37:15,480
Speaker 1: that happens. But to my way of thinking, that you've

707
00:37:15,480 --> 00:37:18,640
Speaker 1: got to super serve your audience. And you know, the

708
00:37:18,680 --> 00:37:21,160
Speaker 1: bread and butter is a good old red, white and blue,

709
00:37:21,239 --> 00:37:24,520
Speaker 1: and I just think that in the long run, I

710
00:37:24,560 --> 00:37:27,040
Speaker 1: don't know, to my at least if it was me,

711
00:37:27,960 --> 00:37:30,080
Speaker 1: I don't think it really serves the purpose of what

712
00:37:30,120 --> 00:37:33,520
Speaker 1: the NFL should be about and what people have recognized

713
00:37:33,560 --> 00:37:35,720
Speaker 1: it for so many decades.

714
00:37:35,320 --> 00:37:39,239
Speaker 2: As And I completely agree with you, and I would say,

715
00:37:39,280 --> 00:37:42,200
Speaker 2: you know, the whole thing with Colin Kaepernick and all

716
00:37:42,239 --> 00:37:45,400
Speaker 2: the kneeling and all that stuff, we have such a

717
00:37:45,440 --> 00:37:48,920
Speaker 2: bad taste. I have friends who refuse to watch an

718
00:37:48,920 --> 00:37:52,520
Speaker 2: the NFL anymore because of just because of that. And

719
00:37:52,680 --> 00:37:56,880
Speaker 2: when President Trump won his second term, that should have

720
00:37:57,040 --> 00:38:00,919
Speaker 2: shown the football guys you know in charge, like, hey,

721
00:38:01,000 --> 00:38:03,840
Speaker 2: the tide is changing. People are sick of all this

722
00:38:04,000 --> 00:38:08,319
Speaker 2: DEI stuff, and for them to dig in and say

723
00:38:08,360 --> 00:38:10,319
Speaker 2: we're still going to do all this. We're still going

724
00:38:10,400 --> 00:38:12,839
Speaker 2: to throw all this in your face. I don't see

725
00:38:12,840 --> 00:38:15,880
Speaker 2: how that. You know, all I can do is alienate

726
00:38:15,920 --> 00:38:19,040
Speaker 2: the base. And I'm not sure the other people who

727
00:38:19,080 --> 00:38:22,359
Speaker 2: loved soccer or love, you know, any other sport. I'm

728
00:38:22,400 --> 00:38:24,799
Speaker 2: a big rugby person, but none of those people are

729
00:38:24,800 --> 00:38:28,200
Speaker 2: going to automatically go to football because the halftime guy

730
00:38:28,719 --> 00:38:31,200
Speaker 2: didn't speak any English and only spoke Spanish. And you know,

731
00:38:31,280 --> 00:38:33,960
Speaker 2: I have to say, I have a student from Puerto

732
00:38:34,040 --> 00:38:38,440
Speaker 2: Rico in my class at Thomas Moore and she said, oh,

733
00:38:38,480 --> 00:38:41,279
Speaker 2: I was all excited, and she interpreted it for the

734
00:38:41,320 --> 00:38:44,120
Speaker 2: class because the reason why they had those guys on

735
00:38:44,160 --> 00:38:46,680
Speaker 2: the power line was because they have blackouts all the

736
00:38:46,680 --> 00:38:49,719
Speaker 2: time in Puerto Rico and the sugarcane. He said, my

737
00:38:49,760 --> 00:38:52,879
Speaker 2: grandpa worked in the sugarcane thing, so if you were

738
00:38:52,920 --> 00:38:55,479
Speaker 2: from Puerto Rico, you got it. But I would say

739
00:38:55,520 --> 00:38:59,080
Speaker 2: this is very similar to if Cincinnati's own Nick Lache

740
00:38:59,680 --> 00:39:01,960
Speaker 2: had been asked to do the Super Bowl and all

741
00:39:02,000 --> 00:39:05,160
Speaker 2: he did was stuff relating to Cincinnati and talked about

742
00:39:05,160 --> 00:39:08,279
Speaker 2: a three way or a four way skylight Chile, or

743
00:39:08,320 --> 00:39:11,239
Speaker 2: maybe he talked about Greater's ice cream or had some

744
00:39:11,360 --> 00:39:16,640
Speaker 2: joke about Cincinnati. It was. It was not inclusive of everybody.

745
00:39:16,719 --> 00:39:19,440
Speaker 2: It was just one little there, you know, the people

746
00:39:19,440 --> 00:39:21,360
Speaker 2: of Puerto Rico life, but the rest of the fifty

747
00:39:21,440 --> 00:39:24,960
Speaker 2: States and everybody else was like, huh, what's going on?

748
00:39:25,600 --> 00:39:27,520
Speaker 2: So I think that was a major error.

749
00:39:27,640 --> 00:39:30,040
Speaker 1: Yeah. One of the things that surprised me was the

750
00:39:30,120 --> 00:39:33,720
Speaker 1: video that I've seen from the stands during the halftime show.

751
00:39:34,280 --> 00:39:37,440
Speaker 1: It at least it sounded like the sound quality was

752
00:39:37,560 --> 00:39:42,600
Speaker 1: very poor. A lot of the show was done amidst

753
00:39:43,080 --> 00:39:45,120
Speaker 1: the sugarcane, you know, the people who were dressed up

754
00:39:45,120 --> 00:39:48,400
Speaker 1: as sugarcane or the the you know, whatever foliage that

755
00:39:48,560 --> 00:39:52,600
Speaker 1: was growing down there. The people in the stands really

756
00:39:52,600 --> 00:39:56,080
Speaker 1: couldn't can make a connection with a lot of what

757
00:39:56,160 --> 00:39:57,920
Speaker 1: was going on in the field, and there didn't seem

758
00:39:57,920 --> 00:40:01,399
Speaker 1: to be a ton of enthusiasms them on the part

759
00:40:01,440 --> 00:40:04,480
Speaker 1: of the people who were there, who paid god knows

760
00:40:04,480 --> 00:40:06,279
Speaker 1: how much money they paid for their tickets to go

761
00:40:06,360 --> 00:40:09,520
Speaker 1: see that show. But it seems like those people kind

762
00:40:09,520 --> 00:40:12,600
Speaker 1: of got the short end of the stick on it totally.

763
00:40:12,640 --> 00:40:15,080
Speaker 2: And the cheapest ticket I heard was like thirty four

764
00:40:15,160 --> 00:40:18,440
Speaker 2: hundred bucks or something. So yeah, it wasn't for them,

765
00:40:18,440 --> 00:40:21,719
Speaker 2: it was very cinematic, like if I were teaching a

766
00:40:21,719 --> 00:40:25,560
Speaker 2: class and editing and and and putting things together like

767
00:40:25,640 --> 00:40:28,319
Speaker 2: shooting stuff. It was. It was very cool that way.

768
00:40:28,840 --> 00:40:32,040
Speaker 2: But but to just not have any subtitles, so you'd

769
00:40:32,040 --> 00:40:34,640
Speaker 2: basically watched the both they not really having a clue

770
00:40:34,680 --> 00:40:37,600
Speaker 2: what was going on. I thought that was totally in

771
00:40:37,640 --> 00:40:40,760
Speaker 2: your face, and and and DEI got awry.

772
00:40:41,080 --> 00:40:43,880
Speaker 1: Yeah, it was like I saw one person post it

773
00:40:43,920 --> 00:40:46,680
Speaker 1: was like a big old middle finger to the to

774
00:40:46,800 --> 00:40:49,640
Speaker 1: the people who exactly have supported the NFL with their

775
00:40:49,800 --> 00:40:52,839
Speaker 1: with their dollars and and their loyalty over the year.

776
00:40:53,560 --> 00:40:55,719
Speaker 1: To my way of think, it took them. I took

777
00:40:55,760 --> 00:40:57,880
Speaker 1: them four or five or six seasons to get past

778
00:40:58,320 --> 00:41:02,240
Speaker 1: the whole Colin Kaepernick thing, the kneeling during the national anthem,

779
00:41:02,320 --> 00:41:04,520
Speaker 1: all that kind of stuff. I mean, they really had

780
00:41:04,560 --> 00:41:07,120
Speaker 1: made strides in putting that in the rear view mirror,

781
00:41:07,320 --> 00:41:10,280
Speaker 1: and I think this sort of takes a step backward.

782
00:41:10,320 --> 00:41:13,680
Speaker 1: But look, if if they want to put that out there,

783
00:41:13,680 --> 00:41:15,760
Speaker 1: I mean, that's who am I to tell the NFL

784
00:41:15,800 --> 00:41:17,839
Speaker 1: how to run their business. And if that's what they

785
00:41:17,840 --> 00:41:20,520
Speaker 1: want to do, uh, that's what they can do. I

786
00:41:20,560 --> 00:41:24,240
Speaker 1: think Steve Steve Oldfield. The probably the most talked about

787
00:41:24,280 --> 00:41:28,880
Speaker 1: spot is probably the the Duncan spot Goodwill Duncan with

788
00:41:28,920 --> 00:41:31,359
Speaker 1: Ben a Flack. And then you had all the other

789
00:41:31,400 --> 00:41:36,600
Speaker 1: stars in there. You had George from Seinfeld, you had

790
00:41:37,520 --> 00:41:40,200
Speaker 1: you know, you had Cheers was represented in there, you

791
00:41:40,239 --> 00:41:42,840
Speaker 1: had Friends that was represented in there. A couple of

792
00:41:42,880 --> 00:41:46,239
Speaker 1: other shows. I probably don't remember, but I think a

793
00:41:46,239 --> 00:41:48,680
Speaker 1: lot of people are talking about you know, you got

794
00:41:49,680 --> 00:41:51,640
Speaker 1: Tom Brady makes an appearance at the end of that

795
00:41:51,719 --> 00:41:56,680
Speaker 1: high I'm Tom. Yeah, yeah, I thought, I think, yeah,

796
00:41:56,760 --> 00:41:58,600
Speaker 1: I think a lot. I think that is the spot

797
00:41:58,640 --> 00:42:01,759
Speaker 1: that's got probably getting the most check in the in

798
00:42:01,800 --> 00:42:03,560
Speaker 1: the wake of the Super Bowl ads.

799
00:42:04,760 --> 00:42:06,760
Speaker 2: Yeah, and you know, there were you know, all these

800
00:42:06,920 --> 00:42:09,399
Speaker 2: all these high tech things that we were complaining about,

801
00:42:09,440 --> 00:42:12,120
Speaker 2: all the AI spots and all the spots about you know,

802
00:42:12,200 --> 00:42:14,959
Speaker 2: doing your own website or what other I really got

803
00:42:15,000 --> 00:42:18,839
Speaker 2: freaked out by this. They'd go vodka commercial, but these

804
00:42:19,000 --> 00:42:22,920
Speaker 2: really creepy robots pouring themselves a drink. I mean, I

805
00:42:23,040 --> 00:42:25,960
Speaker 2: just I don't know. That hit me completely the wrong way,

806
00:42:26,120 --> 00:42:29,759
Speaker 2: and I just thought it was again this whole technology

807
00:42:29,840 --> 00:42:32,200
Speaker 2: taking over the world, and it just really bothered me.

808
00:42:32,600 --> 00:42:35,680
Speaker 2: Just like the Matthew Broderick spot with Ai. I thought

809
00:42:35,800 --> 00:42:38,560
Speaker 2: was really creepy too, Jen Spark, I thought that was

810
00:42:38,600 --> 00:42:39,440
Speaker 2: a creepy spot.

811
00:42:39,960 --> 00:42:41,960
Speaker 1: Yeah, I didn't. I didn't care for that one. But

812
00:42:42,719 --> 00:42:45,400
Speaker 1: let me see, there was a there was a Bueno

813
00:42:45,560 --> 00:42:48,040
Speaker 1: chocolate ad that had all the space creatures in it.

814
00:42:48,880 --> 00:42:51,200
Speaker 1: I don't know that was clever. I don't know if

815
00:42:51,200 --> 00:42:54,080
Speaker 1: it worked, but I liked the entertainment value in that one.

816
00:42:55,040 --> 00:42:57,120
Speaker 2: Yeah, because because they said the one reason why they

817
00:42:57,120 --> 00:43:00,239
Speaker 2: haven't already blown up Earth is because of the candy block. Yes,

818
00:43:00,320 --> 00:43:03,840
Speaker 2: and I thought that was funny. And you know Kroeger,

819
00:43:05,400 --> 00:43:09,600
Speaker 2: they they they had those in there, like when you're

820
00:43:09,640 --> 00:43:12,440
Speaker 2: going to you know, if you actually actually don't do

821
00:43:12,520 --> 00:43:14,640
Speaker 2: your own checkout and you go and stand in the

822
00:43:14,680 --> 00:43:17,240
Speaker 2: line and you have a nice person there at cashier

823
00:43:17,360 --> 00:43:20,799
Speaker 2: helping you out. Blaino has a big presence in all

824
00:43:20,840 --> 00:43:24,240
Speaker 2: those stores, so they're definitely make a making a push,

825
00:43:24,440 --> 00:43:27,840
Speaker 2: and I think they probably spent their money wisely. I

826
00:43:27,840 --> 00:43:29,799
Speaker 2: think it was good for them to be in there.

827
00:43:30,040 --> 00:43:32,680
Speaker 1: Yeah. Uh, let's move on to let me see we

828
00:43:32,719 --> 00:43:35,200
Speaker 1: had Kendall Jenner showing how rich he is. She gets

829
00:43:35,200 --> 00:43:37,880
Speaker 1: a fly around on our private jet, which is sports betting.

830
00:43:38,320 --> 00:43:40,120
Speaker 1: Like we're like, we're supposed to believe she made all

831
00:43:40,120 --> 00:43:44,920
Speaker 1: our money by by betting on a sports app. You know,

832
00:43:45,000 --> 00:43:48,480
Speaker 1: Peyton Manning, Uh, there was a time you know, you know,

833
00:43:48,560 --> 00:43:51,840
Speaker 1: you said, Matthew McConaughey is bank when it comes to commercials.

834
00:43:51,840 --> 00:43:55,840
Speaker 1: There was a time when Peyton Manning was money in commercials.

835
00:43:56,520 --> 00:44:00,400
Speaker 1: I thought he was misused in this. Okay, they're at

836
00:44:00,440 --> 00:44:03,520
Speaker 1: a wedding, everyone's having a bud light. The keg goes

837
00:44:03,600 --> 00:44:06,360
Speaker 1: rolling down the hill and then we hear the song

838
00:44:06,440 --> 00:44:10,080
Speaker 1: from the Titanic, My Heart Will go on. I didn't

839
00:44:10,120 --> 00:44:13,280
Speaker 1: get the connection there. I don't know why that music

840
00:44:13,360 --> 00:44:17,960
Speaker 1: is playing as these people run down the hill. Just

841
00:44:18,239 --> 00:44:22,439
Speaker 1: I think a very expensive I think swinging a miss

842
00:44:22,440 --> 00:44:23,440
Speaker 1: for bud light on that one.

843
00:44:24,440 --> 00:44:27,200
Speaker 2: Now, let's I will tell you. I missed the bud

844
00:44:27,280 --> 00:44:30,600
Speaker 2: light reference until the end of the commercial, and I thought,

845
00:44:30,960 --> 00:44:33,880
Speaker 2: of all the images you saw, with maybe the exception

846
00:44:33,960 --> 00:44:36,640
Speaker 2: of the eagle riding on the horse, I think the

847
00:44:37,440 --> 00:44:40,279
Speaker 2: I think that image of all those people running down

848
00:44:40,320 --> 00:44:43,560
Speaker 2: the hill was the most powerful image of the night.

849
00:44:43,840 --> 00:44:46,640
Speaker 2: But then I felt punked because it was bud light

850
00:44:46,760 --> 00:44:48,680
Speaker 2: and I'm one of those people, I will I will

851
00:44:48,680 --> 00:44:51,560
Speaker 2: go to my grave and never drink another Bud Light

852
00:44:51,920 --> 00:44:55,080
Speaker 2: Because of that whole thing with Cincinnati and Dylan mulvaney.

853
00:44:55,520 --> 00:44:59,200
Speaker 2: I thought that was all complete BS. So I felt

854
00:44:59,239 --> 00:45:02,080
Speaker 2: punked and I was angry that that was a Bud

855
00:45:02,200 --> 00:45:04,239
Speaker 2: like commercial, But I thought it was kind of a

856
00:45:04,280 --> 00:45:05,480
Speaker 2: cool spot personally.

857
00:45:05,760 --> 00:45:09,960
Speaker 1: Yeah, let's let's talk about the Bud the Budweiser commercial,

858
00:45:09,960 --> 00:45:13,200
Speaker 1: because that one got some chatter before they let that

859
00:45:13,239 --> 00:45:15,200
Speaker 1: commercial out. I saw it, I don't know, two or

860
00:45:15,200 --> 00:45:18,000
Speaker 1: three times before it ran in the Super Bowl. Bill

861
00:45:18,040 --> 00:45:21,600
Speaker 1: Dennison said it was his favorite of the night. And uh,

862
00:45:21,680 --> 00:45:23,400
Speaker 1: I mean I thought I thought the ad was great.

863
00:45:23,440 --> 00:45:25,680
Speaker 1: I thought it was you know, they got freebird in there.

864
00:45:25,960 --> 00:45:29,280
Speaker 1: I think they went back to what made Budweiser the econic,

865
00:45:29,480 --> 00:45:34,240
Speaker 1: the iconic advertiser. I mean, the brand has always been iconic.

866
00:45:34,640 --> 00:45:37,799
Speaker 1: That that's but as far as an advertiser goes, I

867
00:45:37,840 --> 00:45:40,440
Speaker 1: thought that had all the elements in it. But you know,

868
00:45:40,520 --> 00:45:44,400
Speaker 1: I just I think the people that they're trying to

869
00:45:44,440 --> 00:45:48,040
Speaker 1: reach there, Steve Oldfield, I don't think they're going to

870
00:45:48,120 --> 00:45:50,960
Speaker 1: put the whole Dylan mulveny thing all the way behind

871
00:45:51,000 --> 00:45:54,440
Speaker 1: them until there's an act of contrition. I think you

872
00:45:54,560 --> 00:45:58,160
Speaker 1: having a having a very cool uh television ad and

873
00:45:58,560 --> 00:46:00,759
Speaker 1: you know, going back to your room and playing some

874
00:46:00,840 --> 00:46:04,440
Speaker 1: Lennard Skinner. I think that's all fine and good, But

875
00:46:04,520 --> 00:46:07,560
Speaker 1: I just don't think I know as you know, as

876
00:46:07,560 --> 00:46:10,719
Speaker 1: a guy who drank a lot of Budweiser. I drank,

877
00:46:10,800 --> 00:46:12,440
Speaker 1: God knows, I can't. I can't tell you how many

878
00:46:12,480 --> 00:46:15,120
Speaker 1: bud Lights I drank back in the day. But I'm

879
00:46:15,200 --> 00:46:17,799
Speaker 1: just I'm not buying any of it until until they

880
00:46:17,840 --> 00:46:19,800
Speaker 1: come out and own the mistake that they made, and

881
00:46:20,080 --> 00:46:22,840
Speaker 1: they have yet to, at least my knowledge, and they

882
00:46:22,880 --> 00:46:23,600
Speaker 1: have yet to do that.

883
00:46:25,239 --> 00:46:27,760
Speaker 2: I agree, And I can just see them all sitting

884
00:46:27,800 --> 00:46:30,920
Speaker 2: around the table coming up with ideas doing, you know,

885
00:46:30,960 --> 00:46:34,239
Speaker 2: a brainstorming session or pitch session or whatever. They're like,

886
00:46:34,800 --> 00:46:37,120
Speaker 2: what the heck, We're just going to have to let's

887
00:46:37,120 --> 00:46:39,920
Speaker 2: come up with an eagle and one of our our

888
00:46:39,960 --> 00:46:43,360
Speaker 2: Clydesdale horses and we'll put the two together, and that'll

889
00:46:43,560 --> 00:46:46,359
Speaker 2: much more American than that. You know. I'm sure there

890
00:46:46,360 --> 00:46:48,640
Speaker 2: were The cynic in me thinks that they didn't do

891
00:46:48,680 --> 00:46:50,880
Speaker 2: it for the right reasons that they It's kind of

892
00:46:50,920 --> 00:46:53,720
Speaker 2: like a desperate attempt, But you're right until they actually

893
00:46:53,719 --> 00:46:57,960
Speaker 2: come out and say we made a mistake. It's not enough.

894
00:46:58,200 --> 00:47:02,840
Speaker 1: Yeah, was there one for aim of that Budweiser commercial

895
00:47:02,840 --> 00:47:05,120
Speaker 1: with the eagle that that was not AI generated?

896
00:47:06,600 --> 00:47:07,520
Speaker 2: That's a good question.

897
00:47:07,600 --> 00:47:08,440
Speaker 1: I don't think there was.

898
00:47:08,800 --> 00:47:11,480
Speaker 2: I doubt it. I doubt it, you know. And but

899
00:47:11,560 --> 00:47:14,440
Speaker 2: I love the line with the old guys and they're like,

900
00:47:14,520 --> 00:47:16,520
Speaker 2: are you crying? And he's like, no, I got something.

901
00:47:20,080 --> 00:47:20,960
Speaker 1: That is pretty funny.

902
00:47:21,239 --> 00:47:23,960
Speaker 2: You know. I did a John Bayner on that. You know,

903
00:47:24,000 --> 00:47:26,640
Speaker 2: I always laughed John Bayner. You know, if you if

904
00:47:26,680 --> 00:47:28,480
Speaker 2: you read the phone book, he would get here, he

905
00:47:28,520 --> 00:47:31,759
Speaker 2: would tear up and cry. And I'm kind of that

906
00:47:31,800 --> 00:47:34,440
Speaker 2: way the older I get. So I got a mistery

907
00:47:34,440 --> 00:47:35,319
Speaker 2: eye on that one too.

908
00:47:35,400 --> 00:47:42,560
Speaker 1: Dan, we got another caller on the line. This is

909
00:47:42,600 --> 00:47:45,800
Speaker 1: Greg and Pickloo. Greg, thanks for hanging on what you

910
00:47:45,880 --> 00:47:47,080
Speaker 1: thought on the Super Bowl.

911
00:47:48,480 --> 00:47:52,160
Speaker 3: Dan Pierre, I appreciate you taking my call. Question is

912
00:47:53,080 --> 00:47:58,320
Speaker 3: and and I was wondering if Goddal allowed Bad Bunny

913
00:47:58,920 --> 00:48:02,480
Speaker 3: to do this. Did he get the blessing from the

914
00:48:02,520 --> 00:48:06,080
Speaker 3: owners or did he take it upon himself, because I

915
00:48:06,120 --> 00:48:09,319
Speaker 3: can understand that he's trying to expand the game, but

916
00:48:09,360 --> 00:48:11,920
Speaker 3: what the owners had to sign off on this, and

917
00:48:12,600 --> 00:48:16,120
Speaker 3: I didn't watch. I didn't watch the halftime and I

918
00:48:16,160 --> 00:48:18,440
Speaker 3: had to actually worked, so I've had a home listening

919
00:48:18,520 --> 00:48:20,800
Speaker 3: to it. But I got, you know, all of the

920
00:48:20,840 --> 00:48:22,880
Speaker 3: second quarter and the rest of the game, but I

921
00:48:22,920 --> 00:48:25,839
Speaker 3: didn't watch it. You know, No, I didn't have I'm

922
00:48:25,840 --> 00:48:28,480
Speaker 3: a man of color, and I didn't have a very

923
00:48:28,560 --> 00:48:29,399
Speaker 3: one way or the other.

924
00:48:30,080 --> 00:48:30,799
Speaker 4: But yeah, I.

925
00:48:30,719 --> 00:48:33,680
Speaker 3: Don't speak Spanish, so I didn't understand it. But I'm

926
00:48:33,760 --> 00:48:37,799
Speaker 3: just wondering, did uh did the owners sign off on this?

927
00:48:38,520 --> 00:48:40,000
Speaker 2: So I don't know who he is?

928
00:48:41,080 --> 00:48:43,480
Speaker 1: Yeah, well you know that that's in Greg, Thank you

929
00:48:43,600 --> 00:48:45,600
Speaker 1: very much for that question. I think that's a good question.

930
00:48:45,680 --> 00:48:48,879
Speaker 1: I know that, and Russ correct me if I'm wrong.

931
00:48:48,880 --> 00:48:52,319
Speaker 1: But I believe Roger Goodell serves at the at the

932
00:48:52,320 --> 00:48:55,520
Speaker 1: pleasure of the owners. They pay him a very hefty salary.

933
00:48:55,800 --> 00:48:59,040
Speaker 1: What their process is for selecting a halftime show, I

934
00:48:59,080 --> 00:49:02,360
Speaker 1: do not know, So individual owners, I don't know. I

935
00:49:02,360 --> 00:49:05,080
Speaker 1: don't know how much you know how much input each

936
00:49:05,200 --> 00:49:09,319
Speaker 1: individual owner has into the halftime show, Steve, do you

937
00:49:09,360 --> 00:49:10,279
Speaker 1: have any idea on that?

938
00:49:11,360 --> 00:49:11,680
Speaker 4: Well?

939
00:49:11,840 --> 00:49:14,960
Speaker 2: I remember reading somewhere over the last couple of weeks

940
00:49:14,960 --> 00:49:16,560
Speaker 2: that one of the owners, and it may have been

941
00:49:16,600 --> 00:49:19,359
Speaker 2: the Dallas Cowboys owner, but one of them came out

942
00:49:19,360 --> 00:49:21,680
Speaker 2: and said, look, I don't support this. I'm really upset

943
00:49:21,680 --> 00:49:26,040
Speaker 2: about this. And I think from now on it is

944
00:49:26,080 --> 00:49:28,200
Speaker 2: going to have to go to all the owners for approval.

945
00:49:28,239 --> 00:49:29,960
Speaker 2: I think in the past they figured out it's my

946
00:49:30,000 --> 00:49:33,000
Speaker 2: halftime show, how bad can it be? But we've we've

947
00:49:33,040 --> 00:49:35,880
Speaker 2: seen the past. There have been other instances like the

948
00:49:35,880 --> 00:49:39,600
Speaker 2: old Janet Jackson justin Timberlake incident of how many years

949
00:49:39,600 --> 00:49:42,359
Speaker 2: ago was that? But I think I think in the

950
00:49:42,400 --> 00:49:45,160
Speaker 2: future going forward that will be part of the requirement

951
00:49:45,239 --> 00:49:46,480
Speaker 2: is that the owners are going to want to know

952
00:49:46,520 --> 00:49:49,080
Speaker 2: about who who's chosen. I don't think it was an

953
00:49:49,120 --> 00:49:51,400
Speaker 2: issue now. I think some of them were really upset

954
00:49:51,440 --> 00:49:51,799
Speaker 2: about it.

955
00:49:51,880 --> 00:49:55,719
Speaker 1: Yeah, and and Russell's reminded me they've got a the

956
00:49:55,840 --> 00:49:59,480
Speaker 1: NFL has a contract with the production company owned by

957
00:49:59,560 --> 00:50:03,560
Speaker 1: Jay Z. So there's obviously, you know, that element of it.

958
00:50:03,600 --> 00:50:06,000
Speaker 1: But again, as far as the owners have an input

959
00:50:06,000 --> 00:50:08,520
Speaker 1: into that, I really I don't know how much they

960
00:50:09,000 --> 00:50:10,719
Speaker 1: I don't know how much they have. There was a

961
00:50:11,320 --> 00:50:13,080
Speaker 1: we got we only got about a minute here, but

962
00:50:13,080 --> 00:50:15,560
Speaker 1: there was that Pringles commercial with the with the the

963
00:50:16,320 --> 00:50:19,960
Speaker 1: young blonde singer and she was like created her the

964
00:50:20,000 --> 00:50:23,840
Speaker 1: Pringles man. I don't know. I heard a lot of

965
00:50:23,840 --> 00:50:26,399
Speaker 1: people talking about that commercial. A lot of people said

966
00:50:26,440 --> 00:50:28,680
Speaker 1: that was their favorite. That one didn't work for me either.

967
00:50:30,040 --> 00:50:32,120
Speaker 2: I thought it was really clever and it's and it's

968
00:50:32,160 --> 00:50:34,760
Speaker 2: an image that stuck out in your head and you'll

969
00:50:34,800 --> 00:50:38,160
Speaker 2: think about, wasn't the greatest commercial of the most fun? No?

970
00:50:38,760 --> 00:50:40,840
Speaker 2: Did it make an impression? And do we all remember

971
00:50:40,880 --> 00:50:42,200
Speaker 2: that it was a Pringles commercial?

972
00:50:42,320 --> 00:50:45,120
Speaker 1: What's name?

973
00:50:46,000 --> 00:50:48,880
Speaker 2: I think? I think so, yeah, But that's you know,

974
00:50:49,000 --> 00:50:51,200
Speaker 2: so that was the thing that from the whole commercial,

975
00:50:51,239 --> 00:50:53,359
Speaker 2: we knew what it was about, we knew what it

976
00:50:53,400 --> 00:50:55,160
Speaker 2: was selling. It was kind of fun.

977
00:50:55,880 --> 00:50:57,840
Speaker 1: All right, Steve, we got to get to another breakday.

978
00:50:57,880 --> 00:50:59,759
Speaker 1: Can you hang around for one more second? You got

979
00:50:59,760 --> 00:50:59,920
Speaker 1: to go?

980
00:51:00,080 --> 00:51:02,319
Speaker 2: Sure, sure, I totally can.

981
00:51:02,560 --> 00:51:05,200
Speaker 1: Okay, all right, we'll do one more segment with Steve

982
00:51:05,200 --> 00:51:07,640
Speaker 1: Oldfield coming up as we continue our review of the

983
00:51:07,680 --> 00:51:11,479
Speaker 1: Super Bowl commercials. And we will do that right after

984
00:51:11,480 --> 00:51:12,759
Speaker 1: we get to the news at the bottom of the

985
00:51:12,760 --> 00:51:17,719
Speaker 1: hour on seven hundred w LW Thursday night edition of

986
00:51:17,800 --> 00:51:23,160
Speaker 1: The Midweek Crisis five one, three, seven, nine, seven eight

987
00:51:23,239 --> 00:51:25,280
Speaker 1: hundred The Big One If you want to get on board.

988
00:51:25,320 --> 00:51:30,120
Speaker 1: We are talking about Super Bowl spots, super Bowl ads,

989
00:51:30,200 --> 00:51:33,359
Speaker 1: the Super Bowl commercials, and I do this every year

990
00:51:33,400 --> 00:51:36,480
Speaker 1: after the Super Bowl along beside my buddy Steve Oldfield,

991
00:51:37,239 --> 00:51:40,520
Speaker 1: and uh, let's see, let's see, let's see. There was

992
00:51:40,560 --> 00:51:44,239
Speaker 1: a John Ham commercial where he was selling ritz Crackers.

993
00:51:45,440 --> 00:51:47,840
Speaker 1: I thought that they were trying to be funny. I

994
00:51:47,840 --> 00:51:50,239
Speaker 1: thought it was a complete comedy fail. Honor, did you

995
00:51:50,560 --> 00:51:56,520
Speaker 1: see that one at all? Steve? What's that run up

996
00:51:56,520 --> 00:51:57,839
Speaker 1: by me again? Yeah?

997
00:51:57,840 --> 00:52:01,040
Speaker 2: Go ahead, I think I think Scar Johansson was in

998
00:52:01,080 --> 00:52:04,120
Speaker 2: that one too. And John Han's another one of those

999
00:52:04,120 --> 00:52:07,640
Speaker 2: people who every year he gets a commercial and I

1000
00:52:07,680 --> 00:52:10,439
Speaker 2: don't get it. I didn't think it was that great.

1001
00:52:10,680 --> 00:52:12,880
Speaker 2: I wanted to go back then, just quickly to the

1002
00:52:13,000 --> 00:52:15,719
Speaker 2: Ring Camera's commercial.

1003
00:52:18,040 --> 00:52:18,239
Speaker 1: Dog.

1004
00:52:19,680 --> 00:52:24,120
Speaker 2: Yeah. As a libertarian, that really freaked me out because

1005
00:52:24,160 --> 00:52:28,080
Speaker 2: on the surface, it's this heartwarming spot about how if

1006
00:52:28,120 --> 00:52:30,520
Speaker 2: you have a ring camera you can help people find

1007
00:52:30,560 --> 00:52:34,000
Speaker 2: their missing dog. But what what that really is telling

1008
00:52:34,080 --> 00:52:38,160
Speaker 2: us is that all those cameras are connected, and that

1009
00:52:38,239 --> 00:52:41,280
Speaker 2: these ring people can have access to your camera whenever

1010
00:52:41,320 --> 00:52:44,880
Speaker 2: they want to see what's showing and maybe apprehend the

1011
00:52:44,960 --> 00:52:49,680
Speaker 2: dogs and maybe apprehend somebody else. So does Ring like

1012
00:52:49,680 --> 00:52:53,200
Speaker 2: like a CIA company, or is Ringlights somehow in it

1013
00:52:53,239 --> 00:52:55,719
Speaker 2: with the government, because are they going to use the

1014
00:52:55,800 --> 00:52:58,239
Speaker 2: ring cameras to spy on everybody? Now, I mean that

1015
00:52:58,400 --> 00:53:01,000
Speaker 2: was my thought they're pitching it is this is a

1016
00:53:01,000 --> 00:53:04,200
Speaker 2: great way to find a dog. But the other implications

1017
00:53:04,200 --> 00:53:06,720
Speaker 2: of it are all these Ring cameras are now turning

1018
00:53:06,800 --> 00:53:10,000
Speaker 2: every neighborhood into like central London. If you've ever been

1019
00:53:10,040 --> 00:53:13,520
Speaker 2: to London where everywhere you look there's a CCTV camera

1020
00:53:13,840 --> 00:53:17,240
Speaker 2: and you're like, I'm just on camera all the time, right, Well, yeah.

1021
00:53:17,160 --> 00:53:20,520
Speaker 1: Well they're saying they're saying the same thing in this

1022
00:53:20,640 --> 00:53:24,640
Speaker 1: In this Nancy Guthrie case that she had this she

1023
00:53:24,840 --> 00:53:29,400
Speaker 1: had this Google Nest doorbell camera and despite the service

1024
00:53:29,480 --> 00:53:35,760
Speaker 1: being disconnected with no active cloud storage subscription, they still

1025
00:53:35,800 --> 00:53:38,839
Speaker 1: had the video of this dude creeping around on her

1026
00:53:38,880 --> 00:53:42,560
Speaker 1: front porch. So yeah, you know, I mean initially we

1027
00:53:42,560 --> 00:53:44,759
Speaker 1: were told that now there's no video that you know,

1028
00:53:44,840 --> 00:53:47,840
Speaker 1: the the you know, the camera was disconnected in the front,

1029
00:53:48,080 --> 00:53:51,440
Speaker 1: but yet somehow they still managed to have that video.

1030
00:53:51,960 --> 00:53:56,320
Speaker 1: So I mean, we you are under surveillance at every

1031
00:53:56,400 --> 00:53:58,680
Speaker 1: single turn. I mean, you got it's just a fact

1032
00:53:58,680 --> 00:54:01,800
Speaker 1: of life. And yeah, all these are connected.

1033
00:54:03,200 --> 00:54:05,440
Speaker 2: So some people may have found that heartwarming because there

1034
00:54:05,480 --> 00:54:07,880
Speaker 2: was a dog in it. I was like a little creepy.

1035
00:54:08,280 --> 00:54:13,440
Speaker 1: Yeah. So we talked earlier about how the Uber Eats

1036
00:54:13,520 --> 00:54:17,400
Speaker 1: commercial with you know, with Matthew McConaughey was great. And

1037
00:54:17,440 --> 00:54:22,440
Speaker 1: then Grubhub had their commercial with George Clooney, which I

1038
00:54:22,480 --> 00:54:26,280
Speaker 1: thought the production value was fine, but as a spot,

1039
00:54:27,080 --> 00:54:31,480
Speaker 1: you know, I didn't. I didn't. It didn't make me

1040
00:54:31,520 --> 00:54:33,040
Speaker 1: want to go out and get some grub Hub.

1041
00:54:34,160 --> 00:54:34,279
Speaker 5: No.

1042
00:54:34,480 --> 00:54:36,960
Speaker 2: And I hate to say this because you know, I've

1043
00:54:37,040 --> 00:54:40,560
Speaker 2: known Nick for many years as his wife, and I've

1044
00:54:40,600 --> 00:54:44,239
Speaker 2: interviewed George probably a dozen times. He's always been nice

1045
00:54:44,280 --> 00:54:48,880
Speaker 2: to me in person, but to me, he's he's had cancer.

1046
00:54:49,000 --> 00:54:51,400
Speaker 2: Like I wouldn't. I wouldn't put him an ad to

1047
00:54:51,560 --> 00:54:56,080
Speaker 2: sell anything, right, because so many Americans hate him. He's

1048
00:54:56,120 --> 00:54:58,160
Speaker 2: another one who was quoted as saying he's ready to

1049
00:54:58,239 --> 00:55:01,360
Speaker 2: move out of the country. He said all kinds of

1050
00:55:01,480 --> 00:55:05,000
Speaker 2: nasty stuff about President Trump all the time. So I

1051
00:55:05,000 --> 00:55:08,520
Speaker 2: I think he's too divisive and too polarizing. I don't

1052
00:55:08,520 --> 00:55:10,480
Speaker 2: think he's a wise choice. Bernet.

1053
00:55:10,719 --> 00:55:12,080
Speaker 1: Do you think you got to pay him a lot

1054
00:55:12,120 --> 00:55:13,080
Speaker 1: to be in your commercial.

1055
00:55:14,320 --> 00:55:17,840
Speaker 2: Oh gosh, I'm sure you do. Yeah, oh yeah, I

1056
00:55:17,840 --> 00:55:19,920
Speaker 2: thought he was one of the highest paid people. My

1057
00:55:20,000 --> 00:55:22,520
Speaker 2: guess is that Matthew McConaughey is probably number one as

1058
00:55:22,520 --> 00:55:25,080
Speaker 2: far as pay for these commercials. And I would I

1059
00:55:25,120 --> 00:55:28,240
Speaker 2: would put Shatner way up there, and I would put Clooney.

1060
00:55:29,400 --> 00:55:32,439
Speaker 2: Those would be the three big big p And he's

1061
00:55:32,480 --> 00:55:36,040
Speaker 2: the other guy who was with Bradley Cooper. He probably

1062
00:55:36,040 --> 00:55:38,799
Speaker 2: made a pretty decent amount of money too, and Chris Hemsworth.

1063
00:55:39,200 --> 00:55:42,160
Speaker 2: But yeah, no, Clooney made a made major bank on there,

1064
00:55:42,200 --> 00:55:43,799
Speaker 2: and I think if it was stupid for them to

1065
00:55:43,840 --> 00:55:44,520
Speaker 2: bank on him.

1066
00:55:46,520 --> 00:55:46,600
Speaker 6: Uh.

1067
00:55:46,680 --> 00:55:49,120
Speaker 1: The NFL ran a spot where you had these these

1068
00:55:49,440 --> 00:55:52,960
Speaker 1: NFL guys singing the little kids that you are special.

1069
00:55:53,000 --> 00:55:56,480
Speaker 1: I thought that was a nice touch. I was, you know,

1070
00:55:57,040 --> 00:55:57,680
Speaker 1: I was one.

1071
00:55:57,520 --> 00:55:59,719
Speaker 2: Of those kids who loved mister Rogers as a kid

1072
00:55:59,760 --> 00:56:01,920
Speaker 2: when I was when I was five, I hated him

1073
00:56:01,920 --> 00:56:04,000
Speaker 2: because I thought he was condescending. He'd say I'd see

1074
00:56:04,000 --> 00:56:06,040
Speaker 2: you tomorrow, and I'd say, how do you know you'll

1075
00:56:06,040 --> 00:56:09,120
Speaker 2: see me tomorrow, mister Rogers? I really did. I was

1076
00:56:09,120 --> 00:56:11,759
Speaker 2: five years old. I would punch the TV and say,

1077
00:56:11,800 --> 00:56:12,640
Speaker 2: you know how do you do this?

1078
00:56:12,800 --> 00:56:15,800
Speaker 1: As I got critic of mister Rogers when he was

1079
00:56:15,840 --> 00:56:16,880
Speaker 1: growing up? How about that?

1080
00:56:17,000 --> 00:56:19,719
Speaker 2: Yes, I was five years old and then as I

1081
00:56:19,760 --> 00:56:22,200
Speaker 2: got older, but I realized dam that the world was

1082
00:56:22,320 --> 00:56:29,000
Speaker 2: rough and people were means girl. I was happy to

1083
00:56:29,040 --> 00:56:31,960
Speaker 2: see him and not one, but two commercials this time.

1084
00:56:32,200 --> 00:56:35,560
Speaker 1: Yeah, we already talked about. Yeah, we already talked about

1085
00:56:35,800 --> 00:56:38,680
Speaker 1: William Shatner and the and the Raisin brand commercial which

1086
00:56:38,760 --> 00:56:43,480
Speaker 1: I totally enjoyed. Yeah. Uh, United Airlines has Wi Fi.

1087
00:56:44,800 --> 00:56:46,799
Speaker 1: I watched that commercial and I said to myself, so

1088
00:56:46,920 --> 00:56:50,279
Speaker 1: what so what? Yeah, I can, I can, I can

1089
00:56:50,320 --> 00:56:53,000
Speaker 1: go on you. It's they It seems to me they

1090
00:56:53,880 --> 00:56:56,279
Speaker 1: wasted a lot of money to tell us that they

1091
00:56:57,000 --> 00:57:01,160
Speaker 1: have have Wi Fi. I mean, is is why is

1092
00:57:01,200 --> 00:57:03,200
Speaker 1: that such a big deal? I don't I don't get that.

1093
00:57:03,280 --> 00:57:06,120
Speaker 2: Well, and you know they have the Elon Musk Wi

1094
00:57:06,160 --> 00:57:09,200
Speaker 2: Fi right, Starlink is his thing? Okay, So I think

1095
00:57:09,239 --> 00:57:11,680
Speaker 2: they were just they're all proud of themselves that they're

1096
00:57:12,080 --> 00:57:15,239
Speaker 2: aligned with Elon Musk Starlink is you remember was in

1097
00:57:15,360 --> 00:57:17,760
Speaker 2: North Carolina are somewhere where they had all the bad

1098
00:57:17,800 --> 00:57:20,640
Speaker 2: weather and musk came in and the only way these

1099
00:57:20,680 --> 00:57:24,000
Speaker 2: people were able to get any Wi Fi was through starlink,

1100
00:57:24,560 --> 00:57:27,120
Speaker 2: So I think, I think that's what that was all about.

1101
00:57:27,160 --> 00:57:32,280
Speaker 2: But I said the same thing, who cares.

1102
00:57:30,720 --> 00:57:33,880
Speaker 1: Yeah, yeah, that it didn't seem like it was really

1103
00:57:34,360 --> 00:57:37,640
Speaker 1: that much of a revelation. And I see then, yeah,

1104
00:57:37,640 --> 00:57:40,320
Speaker 1: then we get to the to the fourth quarter. Now,

1105
00:57:40,400 --> 00:57:42,840
Speaker 1: then we have the Alexa AI AD that we thought

1106
00:57:42,880 --> 00:57:45,440
Speaker 1: that we both thought was out of all the AI ads.

1107
00:57:45,440 --> 00:57:50,080
Speaker 1: It was pretty good. Again, but the AI just swing

1108
00:57:50,080 --> 00:57:52,480
Speaker 1: in the miss for so many of these AI companies,

1109
00:57:53,080 --> 00:57:56,640
Speaker 1: and then yeah, they really wasted their money. Then Cadillac

1110
00:57:56,680 --> 00:57:59,880
Speaker 1: had a commercial on there that I thought was pretty

1111
00:58:00,040 --> 00:58:03,000
Speaker 1: cool and and I guess Cadillac is are they going

1112
00:58:03,080 --> 00:58:07,400
Speaker 1: to get into the Formula one racing business? Now? That

1113
00:58:07,480 --> 00:58:09,919
Speaker 1: was kind of a new thing for them. I thought

1114
00:58:09,920 --> 00:58:10,800
Speaker 1: that ad was pretty cool.

1115
00:58:10,840 --> 00:58:13,360
Speaker 2: It has to be. Yeah, I thought it was cool too,

1116
00:58:13,400 --> 00:58:16,680
Speaker 2: and I just thought, you know, but again, Formula one

1117
00:58:17,040 --> 00:58:20,600
Speaker 2: isn't an American sport. It's not like they're getting into NASCAR, right,

1118
00:58:20,960 --> 00:58:23,959
Speaker 2: So that was clearly geared at an international audience because

1119
00:58:23,960 --> 00:58:28,200
Speaker 2: how many Americans can name, you know, one Formula one driver, right,

1120
00:58:28,680 --> 00:58:32,320
Speaker 2: It's not like it's not like it was something.

1121
00:58:33,360 --> 00:58:36,920
Speaker 1: Yeah, So so good, good for them. Let me see.

1122
00:58:36,920 --> 00:58:39,520
Speaker 1: Then we had another AI spot that was a Fairest

1123
00:58:39,600 --> 00:58:44,080
Speaker 1: buelleryboot boot uh and it not not very memorable.

1124
00:58:44,120 --> 00:58:46,520
Speaker 2: There then another one Matthew Broderick.

1125
00:58:47,400 --> 00:58:49,960
Speaker 1: Then another one that I thought was was maybe going

1126
00:58:50,040 --> 00:58:53,160
Speaker 1: to be my favorite, and uh maybe this one comes

1127
00:58:53,160 --> 00:58:59,439
Speaker 1: in second homes. Yeah, the the meal Diamond and then

1128
00:58:59,520 --> 00:59:02,640
Speaker 1: you know the guy, he jumps up, he starts singing

1129
00:59:02,720 --> 00:59:06,560
Speaker 1: and he's squirting Hellman's mayonnaise on all the sandwiches and

1130
00:59:06,600 --> 00:59:10,520
Speaker 1: stuff like that. It was, it was, it was funny,

1131
00:59:10,640 --> 00:59:13,520
Speaker 1: it was it was over the top. I mean physical comedy,

1132
00:59:13,760 --> 00:59:16,280
Speaker 1: you know, like like the Ben Stiller ad where you

1133
00:59:16,280 --> 00:59:18,800
Speaker 1: know where they got the bananas, he's falling around the stage.

1134
00:59:19,120 --> 00:59:21,800
Speaker 1: That physical comedy didn't work to me. To my way

1135
00:59:21,800 --> 00:59:25,240
Speaker 1: of thinking, this physical comedy did work, and it was

1136
00:59:25,320 --> 00:59:27,520
Speaker 1: it was done in the right the right spirit, and

1137
00:59:27,600 --> 00:59:31,280
Speaker 1: it was it was just a commercial that was over

1138
00:59:31,360 --> 00:59:33,640
Speaker 1: the top, but was over the top in a good way.

1139
00:59:34,880 --> 00:59:38,560
Speaker 2: But again, you know how many people under forty years

1140
00:59:38,560 --> 00:59:42,920
Speaker 2: old even got the joke, you know, Neil Diamond, Neil Diamond,

1141
00:59:42,920 --> 00:59:46,040
Speaker 2: They probably had no idea what that was about. I

1142
00:59:46,080 --> 00:59:49,040
Speaker 2: thought it was really clever and I very much enjoyed

1143
00:59:49,040 --> 00:59:50,000
Speaker 2: it too. I agree with you.

1144
00:59:50,280 --> 00:59:53,360
Speaker 1: Yeah, did you did you see the movie song Song Blue? Yet?

1145
00:59:55,120 --> 00:59:57,880
Speaker 2: You know it's on my list. I'm terrible. I haven't

1146
00:59:57,920 --> 01:00:00,960
Speaker 2: seen it, but there's one I only want to see

1147
01:00:00,960 --> 01:00:02,840
Speaker 2: because of your digit of your review.

1148
01:00:02,960 --> 01:00:04,400
Speaker 1: Yeah, I was going to say, didn't I tell you

1149
01:00:04,440 --> 01:00:05,000
Speaker 1: to go see that?

1150
01:00:06,440 --> 01:00:07,920
Speaker 2: Yes? I'm sorry?

1151
01:00:08,760 --> 01:00:11,640
Speaker 1: How many times? How many times, Steve Oldfield? Have I

1152
01:00:11,680 --> 01:00:14,080
Speaker 1: told you to go see a movie and then you

1153
01:00:14,120 --> 01:00:16,080
Speaker 1: go see it and you and you come back and

1154
01:00:16,120 --> 01:00:17,720
Speaker 1: you say, you know what, you're right about that it

1155
01:00:17,760 --> 01:00:19,120
Speaker 1: was really good and I love it.

1156
01:00:19,200 --> 01:00:21,720
Speaker 2: No, You're you're right. I just haven't been able to.

1157
01:00:21,760 --> 01:00:25,200
Speaker 2: I've just been so crazy busy. I haven't seen a

1158
01:00:25,240 --> 01:00:28,040
Speaker 2: movie in a long time, so it's my fault. But

1159
01:00:28,120 --> 01:00:30,000
Speaker 2: that is the first one I promised to see.

1160
01:00:30,160 --> 01:00:34,040
Speaker 1: Yeah, it'll it'll be on a streaming service before too long.

1161
01:00:34,320 --> 01:00:37,080
Speaker 1: So that's all I got. Did Did I miss something here?

1162
01:00:37,120 --> 01:00:39,360
Speaker 1: Did I'm not write down all the fourth quarter ones made?

1163
01:00:39,400 --> 01:00:41,960
Speaker 1: And am is it?

1164
01:00:43,920 --> 01:00:44,080
Speaker 4: Well?

1165
01:00:44,560 --> 01:00:47,400
Speaker 2: Something for a Wagovie weight loss till there was a

1166
01:00:47,400 --> 01:00:53,760
Speaker 2: Wagovie commercial? Okay, So that was the only other one

1167
01:00:53,800 --> 01:00:57,560
Speaker 2: that I saw. There was a second Lais commercial, so

1168
01:00:57,760 --> 01:01:00,560
Speaker 2: lays Potato chips had two commercials. That was that not

1169
01:01:00,600 --> 01:01:01,600
Speaker 2: the same one?

1170
01:01:02,040 --> 01:01:04,160
Speaker 1: I thought that was the same. Different it was a

1171
01:01:04,160 --> 01:01:10,720
Speaker 1: different one. Okay, all right, yeah, yeah about a movie trail,

1172
01:01:10,800 --> 01:01:13,400
Speaker 1: we don't we don't. We don't do movie trailers.

1173
01:01:13,800 --> 01:01:17,960
Speaker 2: Although yeah yeah, yeah, so not not too much. And

1174
01:01:18,040 --> 01:01:21,880
Speaker 2: again in the grand scheme of things, three maybe four

1175
01:01:21,960 --> 01:01:27,240
Speaker 2: commercials that had anything memorable? And and was it worth it?

1176
01:01:27,520 --> 01:01:29,200
Speaker 2: Was it worth all that money to do that? I

1177
01:01:29,240 --> 01:01:31,439
Speaker 2: don't know, because the other problem that we haven't talked

1178
01:01:31,440 --> 01:01:35,840
Speaker 2: about then what a boring game? Oh well, how many people?

1179
01:01:36,000 --> 01:01:38,880
Speaker 2: How many people stuck with it beyond half? How many

1180
01:01:38,880 --> 01:01:41,680
Speaker 2: people at halftime saw bad Bunny and said, you know what,

1181
01:01:41,960 --> 01:01:44,280
Speaker 2: let's just turn this off, but we can do something else.

1182
01:01:45,560 --> 01:01:48,200
Speaker 1: I don't know. I saw I saw a piece that

1183
01:01:48,280 --> 01:01:50,680
Speaker 1: came out I guess yesterday or the day before, and

1184
01:01:50,680 --> 01:01:53,280
Speaker 1: and the NFL was saying that that, you know, whatever

1185
01:01:53,400 --> 01:01:55,960
Speaker 1: numbers they got, and I don't know what their numbers were,

1186
01:01:56,360 --> 01:01:59,360
Speaker 1: but whatever numbers they got for the halftime show, justify

1187
01:02:00,280 --> 01:02:03,080
Speaker 1: I know all the you know, all the back and

1188
01:02:03,160 --> 01:02:06,720
Speaker 1: forth and all the conversation around and you know, justify

1189
01:02:06,800 --> 01:02:09,439
Speaker 1: the idea of having but bad Bunny played the halftime show,

1190
01:02:09,480 --> 01:02:12,040
Speaker 1: I guess, you know, as far as the end, and

1191
01:02:12,080 --> 01:02:14,960
Speaker 1: it looked there's there's no organization that I know of

1192
01:02:15,640 --> 01:02:18,600
Speaker 1: that is more concerned about television ratings than the NFL.

1193
01:02:19,360 --> 01:02:22,200
Speaker 1: And if yeah, if if they, if they're slicing and

1194
01:02:22,280 --> 01:02:25,000
Speaker 1: dicing the ratings for the halftime show to say that

1195
01:02:25,040 --> 01:02:27,120
Speaker 1: it was a win for them, then they're probably right

1196
01:02:27,120 --> 01:02:27,480
Speaker 1: about that.

1197
01:02:28,840 --> 01:02:33,320
Speaker 2: Okay, I I agree. Right then it's interesting though, but

1198
01:02:33,400 --> 01:02:36,000
Speaker 2: it's just, uh, it's just it's different. I mean, I

1199
01:02:36,160 --> 01:02:39,800
Speaker 2: I I ended up recording the whole thing and watching

1200
01:02:39,840 --> 01:02:42,400
Speaker 2: it that way, so I because I watched the first

1201
01:02:42,480 --> 01:02:44,439
Speaker 2: quarter and I'm like, boy, this is a rough game.

1202
01:02:44,600 --> 01:02:46,880
Speaker 1: Yeah, the game they gave itself was not was not

1203
01:02:47,000 --> 01:02:50,720
Speaker 1: that good. And you know, I mean, and look, if

1204
01:02:50,760 --> 01:02:52,520
Speaker 1: the game's not good, at least he got the commercial

1205
01:02:52,600 --> 01:02:55,280
Speaker 1: to fall back on. But as a whole, this year

1206
01:02:55,440 --> 01:02:56,040
Speaker 1: not that great.

1207
01:02:56,160 --> 01:02:56,280
Speaker 4: Uh.

1208
01:02:56,640 --> 01:02:59,840
Speaker 1: You have not told me which one you thought was

1209
01:03:00,120 --> 01:03:02,560
Speaker 1: head and shoulders above the others that they turned out

1210
01:03:02,560 --> 01:03:03,480
Speaker 1: to be your favorite.

1211
01:03:04,800 --> 01:03:06,960
Speaker 2: You know, the more we talk about it, I'm going

1212
01:03:07,040 --> 01:03:09,400
Speaker 2: to have to probably go with the whole the one

1213
01:03:09,440 --> 01:03:12,720
Speaker 2: that made a complete story and had an arc, because

1214
01:03:12,720 --> 01:03:14,640
Speaker 2: I'm a former movie critic. Right, So we had the

1215
01:03:14,800 --> 01:03:17,480
Speaker 2: arc where the characters in trouble and then he succeeds

1216
01:03:17,480 --> 01:03:19,360
Speaker 2: at the end, and that would be the mikaelob Ultra.

1217
01:03:19,760 --> 01:03:21,640
Speaker 2: But yeah, the instructor.

1218
01:03:22,160 --> 01:03:24,040
Speaker 1: Yeah, I can tell you have to pick that one.

1219
01:03:24,360 --> 01:03:26,160
Speaker 1: I can see that. I thought that was really and

1220
01:03:26,200 --> 01:03:31,600
Speaker 1: then I saw I saw another one today that was

1221
01:03:31,640 --> 01:03:34,600
Speaker 1: it was the same thing, the same kind of you

1222
01:03:34,600 --> 01:03:36,920
Speaker 1: know theme where Kurt Russell is that you know this

1223
01:03:36,960 --> 01:03:40,360
Speaker 1: guy that come kind of comes out of nowhere and instructs,

1224
01:03:41,480 --> 01:03:44,080
Speaker 1: but it was it was a different commercial, but it

1225
01:03:44,080 --> 01:03:46,560
Speaker 1: was him playing the same character, but it was a

1226
01:03:46,560 --> 01:03:49,120
Speaker 1: different interesting So I guess, you know, maybe they've got

1227
01:03:49,960 --> 01:03:54,440
Speaker 1: maybe they've got a whole campaign set up around this. Yeah,

1228
01:03:54,760 --> 01:03:56,360
Speaker 1: pretty good, very good question.

1229
01:03:56,440 --> 01:03:58,040
Speaker 2: I think they do. What was your favorite?

1230
01:03:58,640 --> 01:04:01,480
Speaker 1: My favorite? I'm going to go with the Matthew McConaughey

1231
01:04:01,640 --> 01:04:05,840
Speaker 1: and Bradley Cooper won the Uber eats with with maybe

1232
01:04:06,760 --> 01:04:10,720
Speaker 1: with maybe the uh the guy fiery one in a

1233
01:04:10,760 --> 01:04:15,280
Speaker 1: close second, because it was just so unexpected and so

1234
01:04:15,360 --> 01:04:17,800
Speaker 1: out of the blue for me that it I mean,

1235
01:04:18,800 --> 01:04:20,320
Speaker 1: I mean, but yeah, I mean, but really, when you

1236
01:04:20,320 --> 01:04:22,920
Speaker 1: talk about it, that's what you want. You want something

1237
01:04:23,760 --> 01:04:26,960
Speaker 1: that is memorable and that people are gonna meet you know,

1238
01:04:27,000 --> 01:04:30,200
Speaker 1: maybe they're not gonna remember the whole, but it's like

1239
01:04:30,240 --> 01:04:32,080
Speaker 1: a jingle that gets stuck in your head, right, You

1240
01:04:32,080 --> 01:04:35,040
Speaker 1: want you want those you want those jingles to get

1241
01:04:35,040 --> 01:04:37,320
Speaker 1: stuck in your head. You want people to keep uh

1242
01:04:37,360 --> 01:04:40,240
Speaker 1: thinking about that. But if you've got you know, one

1243
01:04:40,360 --> 01:04:43,560
Speaker 1: or two images that's sticking someone's head and they remember

1244
01:04:43,640 --> 01:04:46,120
Speaker 1: that and they remember it in a good way, I

1245
01:04:46,160 --> 01:04:48,480
Speaker 1: think that's the impression that you want to leave on people.

1246
01:04:48,680 --> 01:04:52,640
Speaker 1: And I just think that so many of these I mean,

1247
01:04:52,760 --> 01:04:55,120
Speaker 1: and and this is I don't know what, is this

1248
01:04:55,200 --> 01:05:00,280
Speaker 1: the fourth time we've done this? Yeah, And and it

1249
01:05:00,400 --> 01:05:03,360
Speaker 1: just seems that so many of these have wound up

1250
01:05:03,360 --> 01:05:06,439
Speaker 1: on the scrap peep and have been such a such

1251
01:05:06,600 --> 01:05:10,920
Speaker 1: a monumental fail. How do people how do people at

1252
01:05:11,000 --> 01:05:14,880
Speaker 1: advertising agencies or people at production companies keep their jobs

1253
01:05:15,480 --> 01:05:18,040
Speaker 1: when we know all when they come up with something

1254
01:05:18,080 --> 01:05:19,120
Speaker 1: like this is so lousy.

1255
01:05:20,720 --> 01:05:23,240
Speaker 2: It's a really good question. And you know, who can

1256
01:05:23,280 --> 01:05:25,160
Speaker 2: afford all that money? I guess that's why all the

1257
01:05:25,240 --> 01:05:27,960
Speaker 2: tech companies are buying the spots, because they've got a

1258
01:05:28,600 --> 01:05:31,960
Speaker 2: AI has more money than God, so they can afford it.

1259
01:05:31,960 --> 01:05:34,880
Speaker 2: Whereas a lot of companies sixteen million bucks to buy

1260
01:05:34,920 --> 01:05:40,919
Speaker 2: in for a thirty second commercial is crazy, And yeah,

1261
01:05:41,000 --> 01:05:43,640
Speaker 2: so I think you're right, Dan, it's different. And the

1262
01:05:43,680 --> 01:05:46,680
Speaker 2: other thing is, we've got to remember you and I

1263
01:05:46,720 --> 01:05:49,720
Speaker 2: sat down and really watched these commercials like we were

1264
01:05:49,720 --> 01:05:52,360
Speaker 2: watching a movie or something. Other people who are at

1265
01:05:52,360 --> 01:05:55,840
Speaker 2: a big party, this is their commercials the time to

1266
01:05:55,840 --> 01:05:58,480
Speaker 2: go to the bathroom, to check on the kids, to

1267
01:05:58,560 --> 01:06:01,600
Speaker 2: do whatever. They're not paying attention. So the commercials have

1268
01:06:01,680 --> 01:06:06,840
Speaker 2: to be even more adept at grabbing your attention, holding

1269
01:06:06,880 --> 01:06:09,240
Speaker 2: it and keeping it and making an impression. If it's

1270
01:06:09,280 --> 01:06:12,520
Speaker 2: too involved, if it's too weird, if it doesn't really

1271
01:06:12,920 --> 01:06:15,480
Speaker 2: have the name of the product till the end or whatever,

1272
01:06:15,880 --> 01:06:18,200
Speaker 2: you're you're going to just completely miss people because they're

1273
01:06:18,240 --> 01:06:19,920
Speaker 2: not watching them like you and I watch it.

1274
01:06:20,240 --> 01:06:24,000
Speaker 1: Yeah, it would be interesting to talk to some of

1275
01:06:24,040 --> 01:06:27,520
Speaker 1: your students and see what kind of impressions they can

1276
01:06:27,600 --> 01:06:29,480
Speaker 1: because I mean, they're you know, they're not sitting down,

1277
01:06:29,520 --> 01:06:32,280
Speaker 1: they're not taking notes on this, they're not writing down

1278
01:06:32,280 --> 01:06:34,800
Speaker 1: all this stuff. It would be interesting to see if

1279
01:06:34,880 --> 01:06:38,560
Speaker 1: they have any lasting impressions or any lasting images in

1280
01:06:38,600 --> 01:06:45,120
Speaker 1: their head at all from uh, if they watch the.

1281
01:06:43,800 --> 01:06:46,600
Speaker 2: Yeah, I I asked, I asked eighty kids this week,

1282
01:06:46,600 --> 01:06:49,160
Speaker 2: because I teach four classes, they're all about twenty kids.

1283
01:06:49,440 --> 01:06:56,080
Speaker 2: The overwhelming favorite was the the ego riding the Budweiser horse.

1284
01:06:56,480 --> 01:06:59,000
Speaker 2: That was the one image they all remembered. A few

1285
01:06:59,040 --> 01:07:01,880
Speaker 2: of the girls mentioned in the Pringles spot that they

1286
01:07:01,920 --> 01:07:05,120
Speaker 2: thought that was clever, and somebody mentioned the other one

1287
01:07:05,160 --> 01:07:08,560
Speaker 2: with Peyton Manning chasing the keg of beer. Those were

1288
01:07:08,600 --> 01:07:11,680
Speaker 2: the three that people brought up more than any of

1289
01:07:11,720 --> 01:07:14,600
Speaker 2: the others. And what gives me hope and why I

1290
01:07:14,640 --> 01:07:18,320
Speaker 2: love Thomas Moore so much. Out of eighty kids, just

1291
01:07:18,600 --> 01:07:21,800
Speaker 2: five would have given Bad Bunny a nine or a

1292
01:07:21,880 --> 01:07:25,440
Speaker 2: ten on a scale of one to ten, and about

1293
01:07:25,480 --> 01:07:29,280
Speaker 2: sixty of them gave him below a five. And they

1294
01:07:29,320 --> 01:07:31,640
Speaker 2: said the reason, And they said the reason was because

1295
01:07:31,680 --> 01:07:34,200
Speaker 2: it was all in Spanish and they frankly just couldn't

1296
01:07:34,280 --> 01:07:38,160
Speaker 2: understand it. But I have hope for mankind teaching it

1297
01:07:38,280 --> 01:07:41,439
Speaker 2: Thomas Moore, because the kids have some sense, unlike those

1298
01:07:41,520 --> 01:07:44,440
Speaker 2: kids who are leaving school to protest ice.

1299
01:07:44,760 --> 01:07:46,920
Speaker 1: Yeah, the whole other school. Oh my god. Yeah, I

1300
01:07:46,960 --> 01:07:48,520
Speaker 1: might be talking about that a little bit later on.

1301
01:07:48,560 --> 01:07:51,120
Speaker 1: But Steve Oldfield, you're the best man. We will leave

1302
01:07:51,120 --> 01:07:53,520
Speaker 1: it there for awesome. I love it, I appreciate, I

1303
01:07:53,520 --> 01:07:56,680
Speaker 1: appreciate you doing this with me every year, and we'll,

1304
01:07:56,840 --> 01:07:59,000
Speaker 1: you know, next super Bowl. I'm sure we'll be doing

1305
01:07:59,040 --> 01:08:01,840
Speaker 1: it again. Take care of yourself, brother, I appreciate, I

1306
01:08:01,880 --> 01:08:04,880
Speaker 1: appreciate the time as always, and we'll be talking to

1307
01:08:04,880 --> 01:08:05,520
Speaker 1: you again soon.

1308
01:08:06,640 --> 01:08:07,000
Speaker 2: Thank you.

1309
01:08:07,040 --> 01:08:09,160
Speaker 1: All right, So there you go, my buddy Steve Oldfield,

1310
01:08:09,160 --> 01:08:11,600
Speaker 1: and I wanted to thank him for his time tonight

1311
01:08:12,000 --> 01:08:14,960
Speaker 1: and thank you if you got any thoughts on the

1312
01:08:14,960 --> 01:08:17,760
Speaker 1: Super Bowl ads five to one, three, seven, four, nine, seven,

1313
01:08:18,479 --> 01:08:21,000
Speaker 1: eight hundred the Big One. As we roll on till

1314
01:08:21,040 --> 01:08:22,639
Speaker 1: midnight tonight, but we got to get to a break

1315
01:08:22,640 --> 01:08:24,240
Speaker 1: and get a little news here at top of the hour,

1316
01:08:24,640 --> 01:08:27,000
Speaker 1: and then we will continue on on this Thursday night

1317
01:08:27,160 --> 01:08:33,360
Speaker 1: edition of the Midweek Crisis on seven hundred WLW. All

1318
01:08:33,400 --> 01:08:36,280
Speaker 1: right back on the Big One, seven hundred WLW, eleven

1319
01:08:36,280 --> 01:08:40,160
Speaker 1: oh eight, Dan Carroll till midnight tonight, Thursday Night edition

1320
01:08:40,200 --> 01:08:46,280
Speaker 1: of the Midweek Crisis. The super Bowl commercial review was over, Russ.

1321
01:08:46,320 --> 01:08:52,160
Speaker 1: What was your favorite commercial the Super Bowl? I like

1322
01:08:52,280 --> 01:08:56,240
Speaker 1: the Jurassic Park Xfinity commercial, the Exfinity commercial with Jurassic

1323
01:08:56,280 --> 01:08:59,680
Speaker 1: Park all right, Yeah, the reboot there, and I mean

1324
01:08:59,800 --> 01:09:05,479
Speaker 1: all the big stars were there, so uh, Jurassic Park

1325
01:09:05,479 --> 01:09:07,439
Speaker 1: could have had a different ending if only they would

1326
01:09:07,439 --> 01:09:11,000
Speaker 1: have had Exfinity. So good for them. Five one, three, seven, four, nine,

1327
01:09:11,720 --> 01:09:15,439
Speaker 1: one eighth in the Big one. Uh, let's see, let's see,

1328
01:09:15,479 --> 01:09:20,040
Speaker 1: let's see. John Stossel for many years was my favorite

1329
01:09:20,080 --> 01:09:24,160
Speaker 1: guy on TV. He uh hey, I want to say.

1330
01:09:24,160 --> 01:09:27,720
Speaker 1: He was with ABC News for a long time and

1331
01:09:27,760 --> 01:09:30,200
Speaker 1: then uh yeah, then he went out on his own

1332
01:09:30,240 --> 01:09:32,440
Speaker 1: and he does his own thing. Now he's got a

1333
01:09:32,600 --> 01:09:34,720
Speaker 1: I guess he's got a podcast or a blog and

1334
01:09:34,760 --> 01:09:38,760
Speaker 1: he does video stuff and he writes columns to and

1335
01:09:38,800 --> 01:09:41,840
Speaker 1: he wrote a piece in town Hall and I think

1336
01:09:41,920 --> 01:09:47,000
Speaker 1: is really really good called fraud Nation, and John Stossel writes,

1337
01:09:47,040 --> 01:09:50,439
Speaker 1: Americans want to help people in need, but when government

1338
01:09:50,479 --> 01:09:55,879
Speaker 1: does that, about five hundred billion taxpayer dollars get stolen.

1339
01:09:56,800 --> 01:10:00,160
Speaker 1: It's how the system is designed, says United Council on

1340
01:10:00,240 --> 01:10:05,519
Speaker 1: Welfare Frauds Andrew mclenahan. You're measuring success by the amount

1341
01:10:05,520 --> 01:10:10,200
Speaker 1: of money you put out. Because of that, government agencies

1342
01:10:10,320 --> 01:10:13,360
Speaker 1: rarely check whether their handouts go to the right people.

1343
01:10:14,360 --> 01:10:19,960
Speaker 1: And Minnesota is just the latest example. Government officials didn't

1344
01:10:20,000 --> 01:10:24,439
Speaker 1: uncover that fraud. YouTuber Nick Shirley did. It's weird that

1345
01:10:24,520 --> 01:10:27,880
Speaker 1: a kid did what the government investigators couldn't do, said mclenahan.

1346
01:10:28,600 --> 01:10:32,679
Speaker 1: Articles back in twenty eighteen talked about millions of dollars

1347
01:10:32,680 --> 01:10:36,240
Speaker 1: in suitcases being flown out of Minneapolis, but it took

1348
01:10:36,280 --> 01:10:38,240
Speaker 1: a twenty year old with an iPhone to go in

1349
01:10:38,280 --> 01:10:44,160
Speaker 1: there and expose it on Twitter. After Shirley publicized the fraud,

1350
01:10:44,840 --> 01:10:48,040
Speaker 1: the White House rows billions of dollars in welfare payments.

1351
01:10:48,640 --> 01:10:54,559
Speaker 1: Progressives meaning liberals, didn't like that. What they are doing

1352
01:10:54,640 --> 01:10:59,639
Speaker 1: is creating confusion, chaos, trying to intimidate people complaints. Ilhan omar,

1353
01:11:00,240 --> 01:11:02,879
Speaker 1: there is no reason for them to fully stop funding

1354
01:11:02,920 --> 01:11:06,439
Speaker 1: these programs. The only reason they're doing that is for

1355
01:11:06,560 --> 01:11:11,280
Speaker 1: pr purposes. Minnesota Governor Tim Walls was hardly any better.

1356
01:11:11,720 --> 01:11:14,800
Speaker 1: This is on my watch. I'm accountable, he said, but

1357
01:11:14,920 --> 01:11:19,280
Speaker 1: he did nothing about the fraud during which way, wait,

1358
01:11:19,400 --> 01:11:21,679
Speaker 1: which reminds me of another point I wanted to make tonight.

1359
01:11:23,120 --> 01:11:26,800
Speaker 1: Tom Holman came out today and talked about how they

1360
01:11:26,840 --> 01:11:32,800
Speaker 1: are ending this portion of the ice surge in Minneapolis,

1361
01:11:34,040 --> 01:11:35,840
Speaker 1: and I've got an article I'm going to read about

1362
01:11:35,840 --> 01:11:42,280
Speaker 1: that later. And this is good because now that ICE

1363
01:11:42,360 --> 01:11:44,120
Speaker 1: is going to be out of there now, maybe they

1364
01:11:44,120 --> 01:11:48,880
Speaker 1: can concentrate on all the fraud that's gone on in

1365
01:11:48,920 --> 01:11:53,680
Speaker 1: Minneapolis and maybe hold someone accountable. But let me get

1366
01:11:53,720 --> 01:11:58,000
Speaker 1: back to the John Stoscil piece here. Tim Walls wasn't

1367
01:11:58,040 --> 01:12:01,760
Speaker 1: any better. He did nothing about the fraud during the pandemic.

1368
01:12:02,439 --> 01:12:05,439
Speaker 1: Joe Biden said, my Mas, My message to those cheats

1369
01:12:05,479 --> 01:12:07,600
Speaker 1: out there is this, you can't hide. We're going to

1370
01:12:07,640 --> 01:12:11,120
Speaker 1: find you. But they didn't. Of the hundreds of billions

1371
01:12:11,120 --> 01:12:14,120
Speaker 1: stolen in twenty twenty four, the Department of Justice barely

1372
01:12:14,160 --> 01:12:18,559
Speaker 1: recovered two point nine billion. There's nothing, is there? Nothing

1373
01:12:18,560 --> 01:12:21,559
Speaker 1: we can do to stop fraud? Well, sure you can't,

1374
01:12:21,560 --> 01:12:24,919
Speaker 1: says mcclenahan. It takes less than a second to verify

1375
01:12:25,040 --> 01:12:30,559
Speaker 1: things with data connections these days, but government rarely uses

1376
01:12:30,680 --> 01:12:34,960
Speaker 1: modern data connections. Elon Musk, when he ran Doge, complained

1377
01:12:35,000 --> 01:12:39,160
Speaker 1: that government records weren't computerized. Many agencies doled out money

1378
01:12:39,160 --> 01:12:41,719
Speaker 1: without even saying what the money was for or where

1379
01:12:41,720 --> 01:12:45,360
Speaker 1: it went. He calls government record keeping a time warp.

1380
01:12:46,040 --> 01:12:50,040
Speaker 1: They're relying on rules and regulations written for pen and paper.

1381
01:12:50,920 --> 01:12:57,000
Speaker 1: Poor record keeping makes fraud easier. Some people openly brag

1382
01:12:57,040 --> 01:13:00,600
Speaker 1: about it. During President Donald Trump's first term, wrote a

1383
01:13:00,640 --> 01:13:05,120
Speaker 1: song about stealing benefits that Trump rushed out for pandemic relief.

1384
01:13:05,880 --> 01:13:07,960
Speaker 1: I got a shout out to Donald Trump. I might

1385
01:13:08,040 --> 01:13:11,280
Speaker 1: just swipe me a lump sum. This is what the

1386
01:13:11,680 --> 01:13:13,960
Speaker 1: I guess that rapper wrote and doesn't say what rapper

1387
01:13:13,960 --> 01:13:18,559
Speaker 1: it is. That was in California. There's lots of fraud there.

1388
01:13:19,040 --> 01:13:22,600
Speaker 1: The state gave phone subsidies to ninety four thousand accounts

1389
01:13:22,600 --> 01:13:26,400
Speaker 1: of dead people. Everybody knows that the United States is

1390
01:13:26,439 --> 01:13:30,519
Speaker 1: the easiest game in town, says McLenaghan. Some stolen funds

1391
01:13:30,560 --> 01:13:34,000
Speaker 1: go to alleged terrorists. We literally rang the dinner bell

1392
01:13:34,120 --> 01:13:38,680
Speaker 1: for the whole world, and they answered, these are American programs.

1393
01:13:38,720 --> 01:13:41,920
Speaker 1: I point out people in other countries aren't eligible. But

1394
01:13:42,000 --> 01:13:44,880
Speaker 1: if you're not checking to see where somebody lives, where

1395
01:13:44,880 --> 01:13:48,479
Speaker 1: they're applying from who they are, you're not going to

1396
01:13:48,520 --> 01:13:52,680
Speaker 1: find them. In addition, many state politicians don't try to

1397
01:13:52,760 --> 01:13:58,080
Speaker 1: find fraud. Handouts mostly come from the federal government, so

1398
01:13:58,240 --> 01:14:02,280
Speaker 1: local politicians reason people and other states pay, but my

1399
01:14:02,439 --> 01:14:07,040
Speaker 1: taxpayers collect. Why make a big effort to stop that.

1400
01:14:08,479 --> 01:14:12,320
Speaker 1: Trump recently gave investigators more access to state data so

1401
01:14:12,479 --> 01:14:16,120
Speaker 1: fraud could be better tracked. But some states don't want

1402
01:14:16,160 --> 01:14:20,559
Speaker 1: to reveal that data. They're actively suing the government to

1403
01:14:20,640 --> 01:14:25,280
Speaker 1: stop it. Whenever government gives handouts, it creates bad incentives.

1404
01:14:25,280 --> 01:14:29,679
Speaker 1: Before our government started welfare payments, Americans were steadily lifting

1405
01:14:29,720 --> 01:14:34,360
Speaker 1: themselves out of poverty. When welfare tacks began, progress continued

1406
01:14:34,400 --> 01:14:38,479
Speaker 1: for several years, but then stopped. Handouts have taught some

1407
01:14:38,600 --> 01:14:43,960
Speaker 1: people to stay dependent. What should be done. McLenaghan says,

1408
01:14:44,000 --> 01:14:48,479
Speaker 1: to verify eligibility first. That way you prevent fraud before

1409
01:14:48,520 --> 01:14:52,120
Speaker 1: money goes out. And no one should get benefits without

1410
01:14:52,120 --> 01:14:56,280
Speaker 1: trying to work. You've got to be looking for a job, volunteering,

1411
01:14:56,400 --> 01:14:59,920
Speaker 1: or at least getting job training. The best welfare pro

1412
01:15:00,000 --> 01:15:05,560
Speaker 1: program is a job. And that's the the piece that

1413
01:15:05,640 --> 01:15:11,280
Speaker 1: was written by John Stossel in town Hall. And so

1414
01:15:11,439 --> 01:15:15,000
Speaker 1: there was actually a hearing it took place on Capitol

1415
01:15:15,040 --> 01:15:21,760
Speaker 1: Hill earlier this week, and Senator Josh Hawley was speaking

1416
01:15:21,800 --> 01:15:26,600
Speaker 1: with a member who was before his panel, and he

1417
01:15:26,720 --> 01:15:31,600
Speaker 1: was asking where all these these hundreds of billions of

1418
01:15:31,640 --> 01:15:35,840
Speaker 1: dollars go to that are stolen every year, And it

1419
01:15:35,960 --> 01:15:38,840
Speaker 1: sounded like this cut number nine, Right, where's this money going?

1420
01:15:38,920 --> 01:15:39,639
Speaker 1: I mean, we know where.

1421
01:15:39,640 --> 01:15:41,720
Speaker 7: If some of it's going to Minnesota, went overseas and

1422
01:15:41,760 --> 01:15:45,000
Speaker 7: went to Somalia, went to NGO fronts, we know where

1423
01:15:45,000 --> 01:15:47,679
Speaker 7: it's gone in some other states. California gave away million

1424
01:15:47,840 --> 01:15:51,880
Speaker 7: billions of dollars to a pro hamas in g O.

1425
01:15:53,160 --> 01:15:55,640
Speaker 7: Where but trillion dollars nationally where's this money going to?

1426
01:15:55,720 --> 01:15:59,200
Speaker 5: I appreciate that question, Guesse. Most people don't ask that question.

1427
01:15:59,360 --> 01:16:03,760
Speaker 5: It goes to terrorism, it goes to child trafficking, it

1428
01:16:03,800 --> 01:16:08,040
Speaker 5: goes to drugs, it goes to terrorism, and then it's

1429
01:16:08,160 --> 01:16:14,120
Speaker 5: used to purchase luxury items, cars, purses, homes. That's all

1430
01:16:14,200 --> 01:16:17,520
Speaker 5: funded by people like me that pay taxes.

1431
01:16:17,680 --> 01:16:21,519
Speaker 7: So it's you're telling me that the electrician who goes

1432
01:16:21,560 --> 01:16:24,640
Speaker 7: to work every day and clocks in and works his

1433
01:16:24,720 --> 01:16:27,479
Speaker 7: butt off and tries to earn just enough to be

1434
01:16:27,560 --> 01:16:30,479
Speaker 7: able to you know, make his rent, maybe have a kid,

1435
01:16:30,560 --> 01:16:34,080
Speaker 7: or to put food on the table, his tax money

1436
01:16:34,280 --> 01:16:38,120
Speaker 7: is being used to buy other people luxury items, cars, yachts,

1437
01:16:38,160 --> 01:16:41,599
Speaker 7: whatever else, and is going to fund terrorism and child trafficking. Yes, sir,

1438
01:16:42,040 --> 01:16:44,479
Speaker 7: A trillion dollars a year on this stuff.

1439
01:16:44,520 --> 01:16:47,520
Speaker 6: One hundred and fifteen million dollars an hour.

1440
01:16:47,400 --> 01:16:50,640
Speaker 7: One hundred and fifteen million dollars an hour. How do

1441
01:16:50,680 --> 01:16:52,960
Speaker 7: they get in their hands on it? What are we

1442
01:16:52,960 --> 01:16:55,960
Speaker 7: talking about here? Trends, national organizations, criminal networks? How do

1443
01:16:56,000 --> 01:16:56,680
Speaker 7: they get their hands on this?

1444
01:16:57,240 --> 01:17:02,040
Speaker 5: They take advantage of antiquated government and systems and processes.

1445
01:17:02,760 --> 01:17:06,959
Speaker 5: They go into programs that they know elected and appointed

1446
01:17:06,960 --> 01:17:11,639
Speaker 5: officials won't touch, and they can steal at scale. And

1447
01:17:11,760 --> 01:17:15,719
Speaker 5: what happened really was during the pandemic between the PPP

1448
01:17:15,920 --> 01:17:18,320
Speaker 5: loans and the unemployment insurance.

1449
01:17:18,439 --> 01:17:20,799
Speaker 6: They learned a really valuable lesson.

1450
01:17:21,800 --> 01:17:25,640
Speaker 5: Government never runs out of money and the probability of

1451
01:17:25,680 --> 01:17:28,160
Speaker 5: getting caught is virtually zero.

1452
01:17:28,360 --> 01:17:30,920
Speaker 6: I have it at one tenth of one percent.

1453
01:17:32,479 --> 01:17:35,240
Speaker 7: So come back to the recommendations that you mentioned in

1454
01:17:35,280 --> 01:17:38,640
Speaker 7: your opening statement. What do we need to do to

1455
01:17:38,680 --> 01:17:41,960
Speaker 7: put a stop to this hemorrhaging of people's hard earned

1456
01:17:41,960 --> 01:17:47,479
Speaker 7: money going overseas to finance child trafficking and luxury yachts

1457
01:17:47,520 --> 01:17:48,639
Speaker 7: And what needs to happen here?

1458
01:17:49,760 --> 01:17:50,759
Speaker 6: It's really simple.

1459
01:17:51,080 --> 01:17:55,000
Speaker 5: It's used every single day in the commercial sector. Front

1460
01:17:55,120 --> 01:17:58,880
Speaker 5: end identity verification. You just don't get to say I

1461
01:17:58,960 --> 01:18:04,320
Speaker 5: am who I I am. Second, recertification of all the recipients.

1462
01:18:04,640 --> 01:18:07,200
Speaker 5: There is so much fraud right now in the benefit

1463
01:18:07,280 --> 01:18:09,479
Speaker 5: programs all across the country.

1464
01:18:09,560 --> 01:18:11,480
Speaker 6: We need to get a baseline.

1465
01:18:12,120 --> 01:18:17,040
Speaker 5: Third these is this notion of a third party independent audit,

1466
01:18:17,920 --> 01:18:22,439
Speaker 5: and finally is involving federal law enforcement like the Secret Service,

1467
01:18:23,000 --> 01:18:27,000
Speaker 5: to investigate it. The thing that people don't understand is

1468
01:18:27,040 --> 01:18:30,400
Speaker 5: that most of these beneficiary Senator, they're not real.

1469
01:18:31,040 --> 01:18:31,639
Speaker 6: They're fake.

1470
01:18:32,200 --> 01:18:35,920
Speaker 5: There's someone stolen identity that is getting used in all

1471
01:18:36,000 --> 01:18:37,320
Speaker 5: fifty states.

1472
01:18:37,960 --> 01:18:42,600
Speaker 1: That guy's name is Heywood Talcove and how good was that?

1473
01:18:45,120 --> 01:18:50,880
Speaker 1: And so that's to me, that's the infuriating thing about this.

1474
01:18:51,040 --> 01:18:55,240
Speaker 1: We know what's going on. We know people are gaming

1475
01:18:55,240 --> 01:18:58,080
Speaker 1: the system. We know the government is getting ripped off

1476
01:19:00,000 --> 01:19:05,160
Speaker 1: one hundred and fifteen million dollars every minute, a trillion

1477
01:19:05,280 --> 01:19:16,400
Speaker 1: taxpayer dollars lost every year simply because we just don't bother.

1478
01:19:16,560 --> 01:19:19,280
Speaker 1: We don't have the will to track that money that's

1479
01:19:19,320 --> 01:19:25,479
Speaker 1: going out. And you heard what he said, the money

1480
01:19:25,479 --> 01:19:29,160
Speaker 1: that's going out to these individuals. These individuals don't exist,

1481
01:19:32,960 --> 01:19:37,320
Speaker 1: they're just they're not real and the likelihood of getting

1482
01:19:37,320 --> 01:19:42,240
Speaker 1: caught is less than one percent. So yeah, it's great

1483
01:19:42,240 --> 01:19:46,080
Speaker 1: when you hear about these busters. Someone gets you know,

1484
01:19:46,160 --> 01:19:50,320
Speaker 1: gets caught, someone goes to prison for it. But it's

1485
01:19:50,160 --> 01:19:56,880
Speaker 1: it's it's literally a drop in the bucket. So when

1486
01:19:56,920 --> 01:20:03,400
Speaker 1: it comes to fraud and people getting ripped off, I mean,

1487
01:20:03,439 --> 01:20:07,680
Speaker 1: it's it's gonna take it's gonna take some real, some

1488
01:20:07,800 --> 01:20:11,000
Speaker 1: real will in Congress to get something done about that.

1489
01:20:12,120 --> 01:20:14,040
Speaker 1: And it's gonna be more than just making another law

1490
01:20:14,040 --> 01:20:17,200
Speaker 1: because they're already they're already breaking the law. It's against

1491
01:20:17,240 --> 01:20:22,040
Speaker 1: the law to steal money. So it's going to take

1492
01:20:22,080 --> 01:20:24,960
Speaker 1: something more than that, and it's going to take some

1493
01:20:24,960 --> 01:20:27,400
Speaker 1: some re and that was you know, John Stossel talked

1494
01:20:27,400 --> 01:20:28,880
Speaker 1: about that in his piece. That was one of the

1495
01:20:28,880 --> 01:20:34,760
Speaker 1: things that got Elon Musk so upset is that he

1496
01:20:34,960 --> 01:20:38,400
Speaker 1: saw all this fraudulent money that was going out there.

1497
01:20:39,120 --> 01:20:43,439
Speaker 1: He knew he could, he can tell you, and he

1498
01:20:43,600 --> 01:20:48,760
Speaker 1: documented all the all the waste and double dealing that

1499
01:20:48,880 --> 01:20:52,559
Speaker 1: was going on and duplicated efforts and all the rest

1500
01:20:52,600 --> 01:20:57,120
Speaker 1: of that. But the ability to stop it or make

1501
01:20:57,160 --> 01:21:00,960
Speaker 1: it go away is just not there. And then you've

1502
01:21:00,960 --> 01:21:03,639
Speaker 1: got federal judges out there are saying no, this funding

1503
01:21:03,720 --> 01:21:06,120
Speaker 1: has to continue, and then you got the left out

1504
01:21:06,160 --> 01:21:08,960
Speaker 1: there telling how people are going to die this money

1505
01:21:09,000 --> 01:21:13,559
Speaker 1: doesn't go out. So I mean, you got all kinds

1506
01:21:13,560 --> 01:21:15,800
Speaker 1: of fraud in the in elections. You've got all kinds

1507
01:21:15,800 --> 01:21:18,320
Speaker 1: of fraud when it comes to trying to help people

1508
01:21:18,360 --> 01:21:25,200
Speaker 1: out Medicare. And I was talking to a guy today

1509
01:21:25,840 --> 01:21:30,439
Speaker 1: and the fraud here in Ohio may be worse than

1510
01:21:30,960 --> 01:21:37,080
Speaker 1: we have any concept of. And so that's that's getting

1511
01:21:37,080 --> 01:21:40,840
Speaker 1: fleshed out right now. So hopefully we'll have something to

1512
01:21:40,880 --> 01:21:45,439
Speaker 1: talk about on that front here before too long. Hiring

1513
01:21:45,439 --> 01:21:51,679
Speaker 1: in January blue past expectations. US employers added one hundred

1514
01:21:51,680 --> 01:21:54,400
Speaker 1: and thirty thousand jobs in January, a pick up in

1515
01:21:54,439 --> 01:21:59,000
Speaker 1: the pace from December, far exceeding the expectation of fifty

1516
01:21:59,040 --> 01:22:01,920
Speaker 1: five thousand jobs. And one of the big things here

1517
01:22:02,520 --> 01:22:05,360
Speaker 1: is that the jobs that are being created under Trump

1518
01:22:05,400 --> 01:22:10,919
Speaker 1: are private sector jobs. Biden was creating the expanding government,

1519
01:22:10,960 --> 01:22:13,800
Speaker 1: creating all these government jobs, and then blowing his own

1520
01:22:13,800 --> 01:22:16,559
Speaker 1: horn talking about looking at all these jobs I created, Well, yeah,

1521
01:22:16,720 --> 01:22:19,000
Speaker 1: find and find. You can expand government all day long,

1522
01:22:20,040 --> 01:22:23,759
Speaker 1: create all kinds of jobs. But Trump was talking about

1523
01:22:23,960 --> 01:22:27,920
Speaker 1: the job report and how it's the private sector where

1524
01:22:27,960 --> 01:22:32,400
Speaker 1: these jobs are are being created, and how and how

1525
01:22:32,479 --> 01:22:34,840
Speaker 1: much better that is. Cut Number four uss.

1526
01:22:36,240 --> 01:22:40,559
Speaker 8: The job's reports amazing in certain ways because we have

1527
01:22:41,000 --> 01:22:44,240
Speaker 8: tremendously fewer federal employees way down and now I could

1528
01:22:44,280 --> 01:22:47,160
Speaker 8: have left them and added to what we did and

1529
01:22:47,200 --> 01:22:49,120
Speaker 8: we would have had almost one hundred percent employment. I

1530
01:22:49,120 --> 01:22:51,000
Speaker 8: could have gotten a great kick out of the fact

1531
01:22:51,160 --> 01:22:54,760
Speaker 8: we're one hundred percent employed. But we get rid of

1532
01:22:54,840 --> 01:23:00,479
Speaker 8: tremendous numbers of federal workers. And they hated me for it.

1533
01:23:00,520 --> 01:23:02,400
Speaker 8: Now they love me because most of them have gotten

1534
01:23:02,479 --> 01:23:04,519
Speaker 8: jobs in the private sector for two and three times

1535
01:23:04,640 --> 01:23:06,840
Speaker 8: more money than they were being paid by the federal government.

1536
01:23:06,880 --> 01:23:09,439
Speaker 8: We had some jobs we you were ten workers for

1537
01:23:09,520 --> 01:23:12,400
Speaker 8: one job, ten workers for a job that one person

1538
01:23:12,439 --> 01:23:13,160
Speaker 8: should be doing.

1539
01:23:13,960 --> 01:23:17,839
Speaker 6: And we've gotten rid of a lot of those jobs.

1540
01:23:17,920 --> 01:23:21,520
Speaker 8: And by getting rid of them, these people became available

1541
01:23:21,520 --> 01:23:23,400
Speaker 8: to work in the private sector. And as you know,

1542
01:23:23,439 --> 01:23:26,800
Speaker 8: the numbers are incredible. So the job numbers are incredible.

1543
01:23:27,320 --> 01:23:32,080
Speaker 8: The financial numbers are beyond belief. Again, they thought it

1544
01:23:32,080 --> 01:23:33,880
Speaker 8: couldn't be done in four years, and I did it

1545
01:23:33,920 --> 01:23:36,880
Speaker 8: in one year. And the numbers you're going to see

1546
01:23:37,000 --> 01:23:40,160
Speaker 8: is these, I don't know if you notice also construction numbers.

1547
01:23:40,160 --> 01:23:42,400
Speaker 8: The jobs are construction workers. You know why, because they're

1548
01:23:42,400 --> 01:23:45,400
Speaker 8: building plants all over the United States. That's why. And

1549
01:23:45,479 --> 01:23:48,200
Speaker 8: when these plants open in a year from now, some sooner,

1550
01:23:48,280 --> 01:23:51,360
Speaker 8: some a little bit later. But when these auto plants,

1551
01:23:51,439 --> 01:23:54,360
Speaker 8: AI plants, and thousands of other types of plants, when

1552
01:23:54,400 --> 01:23:57,120
Speaker 8: they open over the next period of a year year

1553
01:23:57,120 --> 01:23:59,280
Speaker 8: and a half, you're going to see numbers like we've

1554
01:23:59,280 --> 01:24:00,599
Speaker 8: never seen before this country.

1555
01:24:01,200 --> 01:24:02,880
Speaker 1: And I think he's right. I think this is only

1556
01:24:02,960 --> 01:24:08,080
Speaker 1: the beginning. And everyone on the who talks about the

1557
01:24:08,160 --> 01:24:11,120
Speaker 1: economy and talks about the economic front, it's a very

1558
01:24:11,160 --> 01:24:15,960
Speaker 1: exciting time right now. And the economy if you know,

1559
01:24:16,000 --> 01:24:19,680
Speaker 1: people like Larry Kudlow are right, and people like Kevin O'Leary,

1560
01:24:21,320 --> 01:24:24,480
Speaker 1: some of the other economists that you see e j antone.

1561
01:24:26,360 --> 01:24:28,599
Speaker 1: If if those people are right, then things are really

1562
01:24:28,680 --> 01:24:32,439
Speaker 1: going to be taken off here before too long. Trump

1563
01:24:32,520 --> 01:24:35,880
Speaker 1: also came out today and I talked about how they

1564
01:24:36,640 --> 01:24:40,200
Speaker 1: are getting ready getting rid of some of the uh

1565
01:24:41,040 --> 01:24:44,479
Speaker 1: terrible regulations that's around automobiles and cars and things like that.

1566
01:24:44,800 --> 01:24:47,120
Speaker 1: Al Gore is not happy about that. I'll tell you

1567
01:24:47,160 --> 01:24:50,200
Speaker 1: what he had to say about that. Al Gore, al

1568
01:24:50,280 --> 01:24:54,080
Speaker 1: Gore weighing in because he when it comes to when

1569
01:24:54,080 --> 01:24:57,599
Speaker 1: it comes to the environment Al Gore is not happy

1570
01:24:57,640 --> 01:25:00,200
Speaker 1: with Donald Trump at all, and so he said it

1571
01:25:00,240 --> 01:25:02,800
Speaker 1: off on on his X feed tonight, and I think

1572
01:25:02,920 --> 01:25:05,080
Speaker 1: I said, I was looking at that before I came in.

1573
01:25:05,160 --> 01:25:07,160
Speaker 1: I think I saved that. I'll look for that during

1574
01:25:07,160 --> 01:25:10,200
Speaker 1: the break and hopefully have that for you. Eleven twenty five.

1575
01:25:10,200 --> 01:25:11,880
Speaker 1: We got to get to a break news coming up

1576
01:25:12,200 --> 01:25:13,840
Speaker 1: at the bottom of the hour as we roll on

1577
01:25:13,960 --> 01:25:17,479
Speaker 1: till midnight tonight on the Thursday night edition of the

1578
01:25:17,479 --> 01:25:25,519
Speaker 1: Midweek Crisis on seven hundred WLW five three seven one,

1579
01:25:25,640 --> 01:25:30,040
Speaker 1: eight hundred, the Big One. So Donald Trump and Lee's Aldham,

1580
01:25:31,000 --> 01:25:35,160
Speaker 1: the head of the EPA, came out today and they

1581
01:25:35,200 --> 01:25:40,200
Speaker 1: talked about the single largest deregulatory action in US history.

1582
01:25:43,040 --> 01:25:45,240
Speaker 1: They write or they talk about the EPA and their

1583
01:25:45,240 --> 01:25:48,360
Speaker 1: press release they say the EPA saving American taxpayers over

1584
01:25:48,439 --> 01:25:52,000
Speaker 1: one point three trillion dollars, eliminating both the Obama era

1585
01:25:52,880 --> 01:25:58,559
Speaker 1: two thousand and nine Greenhouse Gas Endangerment Finding and all

1586
01:25:58,640 --> 01:26:04,839
Speaker 1: subsequent federal GG emission standards for all vehicles at engine

1587
01:26:04,880 --> 01:26:09,080
Speaker 1: models years twenty twelve to twenty twenty seven and beyond.

1588
01:26:09,960 --> 01:26:14,080
Speaker 1: The action also eliminates all on off cycle credits, including

1589
01:26:14,120 --> 01:26:19,400
Speaker 1: for almost all universally hated, the universally hated start stop feature.

1590
01:26:21,240 --> 01:26:23,600
Speaker 1: So I don't know if Russ, I don't know if

1591
01:26:23,640 --> 01:26:27,160
Speaker 1: you have that on your car, but that's the thing

1592
01:26:27,400 --> 01:26:30,559
Speaker 1: on your car where if you don't turn it off,

1593
01:26:32,080 --> 01:26:34,519
Speaker 1: if you drive, if you're driving just driving a regular

1594
01:26:34,560 --> 01:26:39,000
Speaker 1: and this is your gasoline powered car, you drive up

1595
01:26:39,040 --> 01:26:41,439
Speaker 1: and you drive to a stoplight, the engine shuts off,

1596
01:26:42,920 --> 01:26:44,720
Speaker 1: and then when you go to start to hit the

1597
01:26:44,760 --> 01:26:48,720
Speaker 1: gas again, then it pops back on. It's got to

1598
01:26:48,760 --> 01:26:52,240
Speaker 1: be terrible for the car. And that was one of

1599
01:26:52,280 --> 01:26:56,240
Speaker 1: the things that they stopped today and so Zelden came

1600
01:26:56,280 --> 01:26:59,160
Speaker 1: out and he talked about it, and Trump spoke about it.

1601
01:27:00,040 --> 01:27:04,320
Speaker 1: Essentially says, look, we're building better cars, more affordable cars.

1602
01:27:04,520 --> 01:27:05,200
Speaker 1: Cut number three.

1603
01:27:06,000 --> 01:27:12,599
Speaker 8: But I'm pleased to be joined today by EPA Administrator LEEZ. Eldon,

1604
01:27:12,720 --> 01:27:15,599
Speaker 8: who you all know, and to announce the single largest

1605
01:27:15,640 --> 01:27:21,640
Speaker 8: deregulatory action in American history. That's a big statement in

1606
01:27:21,680 --> 01:27:22,599
Speaker 8: American history.

1607
01:27:23,120 --> 01:27:25,400
Speaker 1: And I think we can add the words by far.

1608
01:27:27,000 --> 01:27:31,120
Speaker 8: Under the process just completed by the EPA, we are

1609
01:27:31,160 --> 01:27:37,280
Speaker 8: officially terminating the so called Endangerment Finding, a disastrous Obama

1610
01:27:37,360 --> 01:27:41,559
Speaker 8: era policy that's severely damaged the American auto industry and

1611
01:27:41,640 --> 01:27:48,320
Speaker 8: massively drove up prices for American consumers. Prices went up incredibly.

1612
01:27:47,800 --> 01:27:49,320
Speaker 6: For a worse product.

1613
01:27:50,360 --> 01:27:52,920
Speaker 8: This action will limit it over one point three trillion

1614
01:27:53,000 --> 01:27:57,599
Speaker 8: dollars of regulatory costs and help bring car prices tumbling

1615
01:27:57,680 --> 01:27:59,240
Speaker 8: down dramatically.

1616
01:28:00,280 --> 01:28:01,920
Speaker 6: You're gonna get a better car. You get to get

1617
01:28:01,960 --> 01:28:02,400
Speaker 6: a car that.

1618
01:28:02,400 --> 01:28:05,960
Speaker 8: Starts easier, a car that works better for a lot

1619
01:28:06,040 --> 01:28:06,639
Speaker 8: less money.

1620
01:28:07,280 --> 01:28:11,960
Speaker 1: I hope that's true. So we'll see what this getting

1621
01:28:12,000 --> 01:28:16,360
Speaker 1: rid of this idiotic regulation does, and hopefully that's true

1622
01:28:16,400 --> 01:28:20,679
Speaker 1: for everyone. Of course, al Gore has completely been out

1623
01:28:20,680 --> 01:28:24,720
Speaker 1: of shape about this. He put on on his X

1624
01:28:24,760 --> 01:28:27,200
Speaker 1: feet a little while ago. The Trump administration is once

1625
01:28:27,200 --> 01:28:34,840
Speaker 1: again trying to deny science and reality. Science and reality.

1626
01:28:34,880 --> 01:28:37,160
Speaker 1: It's been twenty years. I had on a guest a

1627
01:28:37,200 --> 01:28:40,240
Speaker 1: couple of weeks ago, my buddy Daniel Turner from Power

1628
01:28:40,280 --> 01:28:42,760
Speaker 1: of the Future, and we were talking about twenty years

1629
01:28:42,800 --> 01:28:47,920
Speaker 1: since Al Gore put out his environmental movie about the

1630
01:28:48,080 --> 01:28:54,559
Speaker 1: and the Inconvenient Truth. Every prediction he had in that

1631
01:28:54,640 --> 01:28:59,400
Speaker 1: movie dead wrong. So we're supposed to listen to al

1632
01:28:59,439 --> 01:29:07,639
Speaker 1: Gore as the purveyor of science and reality. He says

1633
01:29:07,680 --> 01:29:11,519
Speaker 1: he's throwing out well established research connecting the climate crisis

1634
01:29:11,560 --> 01:29:14,120
Speaker 1: to public health. For God's sake. While the Trump administration

1635
01:29:15,479 --> 01:29:18,639
Speaker 1: can try to ignore the climate crisis, it's painfully clear

1636
01:29:18,720 --> 01:29:23,320
Speaker 1: the climate crisis will not ignore us soft for God's sake.

1637
01:29:24,520 --> 01:29:29,240
Speaker 1: So there's there's that in the idiot al Gore trying

1638
01:29:29,280 --> 01:29:31,720
Speaker 1: to cash in. And look, I mean, the guy's made

1639
01:29:31,760 --> 01:29:34,639
Speaker 1: a lot of money. He's cashed in on the all

1640
01:29:34,680 --> 01:29:39,679
Speaker 1: this climate alarmism, and he wants to keep that gravy

1641
01:29:39,720 --> 01:29:43,680
Speaker 1: train rolling, and it does. It's a bad thing for

1642
01:29:43,760 --> 01:29:46,280
Speaker 1: him to have an administration come out and say, you

1643
01:29:46,360 --> 01:29:49,040
Speaker 1: know what, all these rules and regulations are no longer

1644
01:29:49,080 --> 01:29:54,519
Speaker 1: necessary because that is not good for al Gore's bottom line. Well,

1645
01:29:54,560 --> 01:29:58,600
Speaker 1: what else? What else do we got? I brought in

1646
01:29:58,680 --> 01:30:03,559
Speaker 1: a a bunch of audio tonight. There was a hearing

1647
01:30:03,640 --> 01:30:08,639
Speaker 1: with Pam Bondi, the Attorney General, on Capitol Hill, and

1648
01:30:08,800 --> 01:30:12,320
Speaker 1: she got into it. It's pretty predictable if anyone from

1649
01:30:12,400 --> 01:30:16,599
Speaker 1: the Trump administration, any cabinet member, goes in front of Congress,

1650
01:30:16,680 --> 01:30:20,439
Speaker 1: there's going to be fireworks, There's going to be all kinds.

1651
01:30:20,479 --> 01:30:22,880
Speaker 1: I mean, it happened with Marco Rubio, not to the extent,

1652
01:30:22,960 --> 01:30:27,280
Speaker 1: and Marco Rubio is just as cool as a cucumber

1653
01:30:27,280 --> 01:30:32,439
Speaker 1: when it comes to dealing with these idiots that seek

1654
01:30:32,479 --> 01:30:35,519
Speaker 1: to question him and try to do the gotcha questions

1655
01:30:35,520 --> 01:30:39,479
Speaker 1: and all the rest of it. But the thing with

1656
01:30:39,560 --> 01:30:42,439
Speaker 1: Pam Bondi got pretty heated and really went off the

1657
01:30:42,520 --> 01:30:48,920
Speaker 1: rail several times. In one instance where it didn't go

1658
01:30:48,960 --> 01:30:53,200
Speaker 1: off the rails, it was Brandon Gill, who's just a

1659
01:30:53,240 --> 01:30:58,840
Speaker 1: great congressman and really just shines at these things. He

1660
01:30:58,880 --> 01:31:02,559
Speaker 1: and Pam Bondy decided to do a little review of

1661
01:31:02,600 --> 01:31:05,439
Speaker 1: the Biden administration and the kind of stuff that the

1662
01:31:05,479 --> 01:31:09,240
Speaker 1: Biden administration was up to. And it was a pretty

1663
01:31:09,280 --> 01:31:12,360
Speaker 1: good exchange, a little long, but still I think worth

1664
01:31:12,400 --> 01:31:14,760
Speaker 1: a listen. So, Russ, if we could, please, let's hear

1665
01:31:14,800 --> 01:31:15,559
Speaker 1: cut number seven.

1666
01:31:16,520 --> 01:31:19,160
Speaker 9: Is it true that the Biden Harris DOJ rated President

1667
01:31:19,200 --> 01:31:19,760
Speaker 9: Trump's home?

1668
01:31:20,040 --> 01:31:20,479
Speaker 4: They did?

1669
01:31:20,840 --> 01:31:23,559
Speaker 9: Did the Biden Harris DOJ allow Jack Smith to spy

1670
01:31:23,680 --> 01:31:26,160
Speaker 9: on over a dozen Republican members of Congress?

1671
01:31:26,360 --> 01:31:27,000
Speaker 6: Absolutely?

1672
01:31:27,200 --> 01:31:29,760
Speaker 9: Did the Biden Harris DOJ seize the phone of a

1673
01:31:29,800 --> 01:31:31,360
Speaker 9: sitting Republican Congressman?

1674
01:31:31,520 --> 01:31:31,800
Speaker 3: Yes?

1675
01:31:32,000 --> 01:31:34,280
Speaker 9: Did the Biden Harris DOJ and Jack Smith pay at

1676
01:31:34,360 --> 01:31:38,679
Speaker 9: least twenty thousand dollars to confidential human sources to provide

1677
01:31:38,680 --> 01:31:42,600
Speaker 9: information on President Trump at least at least did the

1678
01:31:42,600 --> 01:31:46,160
Speaker 9: Biden Harris DOJ and FBI failed to apprehend the suspect

1679
01:31:46,160 --> 01:31:49,639
Speaker 9: who placed pipe bombs near the Capitol ahead of January sixth?

1680
01:31:49,720 --> 01:31:50,000
Speaker 4: Yes?

1681
01:31:50,400 --> 01:31:54,600
Speaker 9: Did the Biden Harris DOJ target parents as domestic terrorists?

1682
01:31:54,720 --> 01:31:55,360
Speaker 1: Absolutely?

1683
01:31:55,680 --> 01:31:59,040
Speaker 9: Did the Biden Harris DOJ target pro life Catholics, going

1684
01:31:59,080 --> 01:32:01,280
Speaker 9: so far as to inner of you a priest and

1685
01:32:01,320 --> 01:32:02,280
Speaker 9: a choir director.

1686
01:32:02,720 --> 01:32:03,000
Speaker 1: Yes.

1687
01:32:03,479 --> 01:32:07,160
Speaker 9: Did the Biden Harris DOJSON FBI swat teams to arrest

1688
01:32:07,200 --> 01:32:09,879
Speaker 9: pro life advocates with no criminal histories?

1689
01:32:10,400 --> 01:32:10,759
Speaker 4: Yes?

1690
01:32:11,160 --> 01:32:13,840
Speaker 9: Did the Biden Harris DOJ use the Face Act to

1691
01:32:13,880 --> 01:32:18,200
Speaker 9: target pro life advocates while it allowed anti life agitators

1692
01:32:18,240 --> 01:32:22,280
Speaker 9: to vandalize, destroy, and firebomb pregnancy resource centers and.

1693
01:32:22,360 --> 01:32:25,559
Speaker 6: Churches multiple times, I believe multiple times.

1694
01:32:25,560 --> 01:32:28,600
Speaker 9: Did the Biden Harris DOJ ever determine who leaked the

1695
01:32:28,600 --> 01:32:29,400
Speaker 9: Dobbs decision?

1696
01:32:32,760 --> 01:32:35,920
Speaker 6: I can't discuss that. No, no under Biden, No under

1697
01:32:35,960 --> 01:32:37,200
Speaker 6: Biden Harris got it.

1698
01:32:38,000 --> 01:32:42,600
Speaker 9: Did the Biden Harris DOJ and FBI I target whistleblowers

1699
01:32:42,640 --> 01:32:46,120
Speaker 9: for revealing waste, fraud and abuse within the Department.

1700
01:32:45,760 --> 01:32:48,080
Speaker 6: To Congress, not to my knowledge.

1701
01:32:48,400 --> 01:32:51,000
Speaker 9: Did the Biden Harris DOJ refuse to say whether it

1702
01:32:51,040 --> 01:32:54,920
Speaker 9: coordinated with Alvin Bragg, Fanny Willis, and Letitia James in

1703
01:32:54,960 --> 01:32:56,840
Speaker 9: their law fair against President Trump?

1704
01:32:57,160 --> 01:32:57,839
Speaker 6: They refused.

1705
01:32:58,240 --> 01:32:59,240
Speaker 1: Did the Biden Hairris.

1706
01:32:59,080 --> 01:33:03,280
Speaker 9: DOJ slow walk the criminal investigation and prosecution of Hunter Biden?

1707
01:33:04,320 --> 01:33:06,120
Speaker 6: That's an understatement in my opinion.

1708
01:33:06,640 --> 01:33:06,880
Speaker 2: Yep.

1709
01:33:07,160 --> 01:33:10,800
Speaker 9: Did the Biden Haris DOJ determine who brought cocaine into

1710
01:33:10,800 --> 01:33:11,840
Speaker 9: the Biden White House?

1711
01:33:12,720 --> 01:33:13,160
Speaker 6: They did not.

1712
01:33:13,880 --> 01:33:14,360
Speaker 1: They did not.

1713
01:33:14,600 --> 01:33:16,479
Speaker 9: But did the Biden Haris DOJ cover up.

1714
01:33:16,439 --> 01:33:18,439
Speaker 6: The as far as we know, they did not?

1715
01:33:19,160 --> 01:33:19,360
Speaker 4: Right?

1716
01:33:19,600 --> 01:33:20,040
Speaker 1: That's right.

1717
01:33:20,640 --> 01:33:22,800
Speaker 9: Did the Biden Harris DOJ cover up the extent of

1718
01:33:22,800 --> 01:33:24,280
Speaker 9: the Russia collusion hoax?

1719
01:33:24,800 --> 01:33:25,520
Speaker 6: Absolutely?

1720
01:33:25,560 --> 01:33:30,000
Speaker 9: In my opinion, Yes, did the Biden Harris dog DOJ

1721
01:33:30,120 --> 01:33:32,800
Speaker 9: excuse me, seek leniency from a federal court for an

1722
01:33:32,800 --> 01:33:37,960
Speaker 9: IRS contractor who leaked sensitive tax information on over seventy

1723
01:33:37,960 --> 01:33:40,719
Speaker 9: six hundred Americans, including President Trump?

1724
01:33:41,200 --> 01:33:41,519
Speaker 4: Yes?

1725
01:33:41,920 --> 01:33:44,679
Speaker 9: Did the Biden Harris DOJ sue Texas because the state

1726
01:33:44,760 --> 01:33:46,880
Speaker 9: wanted to secure its own southern border?

1727
01:33:48,439 --> 01:33:48,799
Speaker 1: Yes?

1728
01:33:49,600 --> 01:33:52,680
Speaker 9: And finally, did the Biden Haris DOJ attack SpaceX for

1729
01:33:52,760 --> 01:33:54,040
Speaker 9: hiring too many Americans?

1730
01:33:55,000 --> 01:33:55,920
Speaker 6: I believe they did?

1731
01:33:56,960 --> 01:33:57,720
Speaker 2: Unbelievable.

1732
01:33:58,160 --> 01:34:00,640
Speaker 9: It is unbelievable, and I appreciate that a lot of

1733
01:34:00,680 --> 01:34:04,160
Speaker 9: this is being cleaned up under your leadership. So thank

1734
01:34:04,200 --> 01:34:07,920
Speaker 9: you for returning the DJ back to its core focus,

1735
01:34:07,960 --> 01:34:09,400
Speaker 9: which is on the rules.

1736
01:34:10,800 --> 01:34:16,440
Speaker 1: So there you go. There's Pam Bondy and the Congressman

1737
01:34:17,920 --> 01:34:21,519
Speaker 1: reviewing the Biden years and how bad it was. Brandon Gill,

1738
01:34:22,360 --> 01:34:25,679
Speaker 1: that guy has been fantastic in a lot of these

1739
01:34:25,720 --> 01:34:28,479
Speaker 1: hearings and just I mean the guy. He goes for

1740
01:34:28,600 --> 01:34:33,559
Speaker 1: the throat when he's got a leftist or a liberal

1741
01:34:33,640 --> 01:34:37,120
Speaker 1: up there, or there's someone trying to get over on

1742
01:34:37,160 --> 01:34:42,479
Speaker 1: his committee. It's fantastic. My buddy Curtis Halkover at NewsBusters,

1743
01:34:42,800 --> 01:34:46,400
Speaker 1: it's got a great piece about emails that show the

1744
01:34:46,400 --> 01:34:50,799
Speaker 1: New York Times in Politico worked with the Biden EPA

1745
01:34:50,960 --> 01:34:56,280
Speaker 1: to manufacture Kamala's climate record. I mean, there is nothing

1746
01:34:56,320 --> 01:35:01,400
Speaker 1: about this woman that is real or authentic, and now

1747
01:35:02,000 --> 01:35:06,479
Speaker 1: even when it comes to climate she doesn't. And that

1748
01:35:06,680 --> 01:35:10,800
Speaker 1: was a big knock on her during the campaign was

1749
01:35:10,880 --> 01:35:13,760
Speaker 1: that she doesn't know who she is, She doesn't know

1750
01:35:13,760 --> 01:35:15,920
Speaker 1: what her own policies are, she doesn't have her own

1751
01:35:15,960 --> 01:35:19,200
Speaker 1: policies because she needs people to create policies for her.

1752
01:35:19,520 --> 01:35:24,439
Speaker 1: She needs people to create policy positions that she can

1753
01:35:24,520 --> 01:35:27,960
Speaker 1: mouth later on and pretend as if she's the one

1754
01:35:27,960 --> 01:35:31,840
Speaker 1: who's doing the thinking on these things. But Curtis House writes,

1755
01:35:31,880 --> 01:35:34,719
Speaker 1: according to emails obtained by the Great People That Protect

1756
01:35:34,720 --> 01:35:38,880
Speaker 1: the Public Trust PPT, reporters from The New York Times

1757
01:35:38,920 --> 01:35:45,240
Speaker 1: and Politico worked alongside the Biden Harris administrations EPA, the

1758
01:35:45,360 --> 01:35:50,200
Speaker 1: Environmental Protection Agency to try not now, listen to this,

1759
01:35:52,120 --> 01:35:55,600
Speaker 1: They worked alongside the EPA to try and concoct a

1760
01:35:55,800 --> 01:36:01,599
Speaker 1: record of climate leadership for then Vice President Kamala Harris

1761
01:36:01,600 --> 01:36:04,920
Speaker 1: and her failed campaign. And when it was over, one

1762
01:36:05,000 --> 01:36:10,160
Speaker 1: fretted to their fellow liberals about the agency's future under

1763
01:36:10,200 --> 01:36:22,120
Speaker 1: President Trump. So you've got the EPA and these so

1764
01:36:22,200 --> 01:36:28,439
Speaker 1: called news outlets, the New York Times in Politico trying

1765
01:36:28,520 --> 01:36:35,479
Speaker 1: to create the fantasy that somehow Kamala Harris has done

1766
01:36:35,479 --> 01:36:41,000
Speaker 1: something worthy of note when it comes to when it

1767
01:36:41,040 --> 01:36:44,479
Speaker 1: comes to the climate, and she, of course, she hadn't

1768
01:36:44,520 --> 01:36:56,840
Speaker 1: done anything. Let me see, let's see, let's see, let's see. Uh, well,

1769
01:36:57,160 --> 01:37:01,040
Speaker 1: I don't know, but it's all there. And Curtis, I

1770
01:37:01,080 --> 01:37:03,360
Speaker 1: was just trying to pick out a little thing here.

1771
01:37:03,439 --> 01:37:06,519
Speaker 1: But one of the things I guess they talked about

1772
01:37:06,600 --> 01:37:09,160
Speaker 1: was Vice President. Kamala Harris is a leader who doesn't

1773
01:37:09,160 --> 01:37:12,080
Speaker 1: do surface. She digs in. And she was a driving

1774
01:37:12,120 --> 01:37:15,559
Speaker 1: force behind the EPA's Greenhouse Gas Reduction Fund, a twenty

1775
01:37:15,600 --> 01:37:21,680
Speaker 1: seven billion dollar program for the Inflation Reduction Act. And

1776
01:37:21,720 --> 01:37:23,760
Speaker 1: it's a it's it's all, it's all created out a

1777
01:37:23,760 --> 01:37:28,240
Speaker 1: whole cloth. It's it's all. It's meaningless. That is that

1778
01:37:28,400 --> 01:37:32,240
Speaker 1: is the essence of Kamala Harris. And so I mean

1779
01:37:32,760 --> 01:37:36,160
Speaker 1: fake and phony as the day is long. And she's

1780
01:37:36,160 --> 01:37:38,480
Speaker 1: going to be running for president again. Fantastic.

1781
01:37:39,120 --> 01:37:39,280
Speaker 3: Uh.

1782
01:37:39,360 --> 01:37:42,960
Speaker 1: Yeah, we had the specter the other day of a

1783
01:37:43,000 --> 01:37:45,719
Speaker 1: bunch of kids at and look we've had this happen

1784
01:37:45,760 --> 01:37:48,519
Speaker 1: to Turbine High School, happened to wander Hills High School,

1785
01:37:48,520 --> 01:37:51,679
Speaker 1: happened in Princeton High School. You have these kids walking

1786
01:37:51,720 --> 01:37:55,840
Speaker 1: out of class. Oh, the anti ice. Now, we don't

1787
01:37:55,880 --> 01:37:58,599
Speaker 1: we don't like ice. We uh, you know, we don't

1788
01:37:58,600 --> 01:38:00,559
Speaker 1: want to. You know, we don't want to. Are we

1789
01:38:00,600 --> 01:38:06,840
Speaker 1: stand with our immigrant population, but they get the whole

1790
01:38:06,880 --> 01:38:11,559
Speaker 1: notion of immigrants and the illegal aliens mixed up. We're

1791
01:38:11,600 --> 01:38:15,679
Speaker 1: all about legal immigration, legal immigration, come to the country legally,

1792
01:38:16,400 --> 01:38:20,880
Speaker 1: be here legally do the right thing. All good. Everyone

1793
01:38:20,920 --> 01:38:25,760
Speaker 1: I know is good with that. It's illegal aliens that

1794
01:38:25,800 --> 01:38:30,240
Speaker 1: we don't support. But yet these walkouts at these high schools,

1795
01:38:30,320 --> 01:38:34,040
Speaker 1: public high schools, go on and on and on. And

1796
01:38:34,120 --> 01:38:41,400
Speaker 1: so I was listening to Representative Lisa McLean the other day,

1797
01:38:41,720 --> 01:38:46,439
Speaker 1: and she was talking about some of the thugs that

1798
01:38:46,479 --> 01:38:50,360
Speaker 1: ICE is going after. And I wonder to myself, you know,

1799
01:38:50,400 --> 01:38:53,160
Speaker 1: these kids that are out there marching around handti ICE

1800
01:38:53,400 --> 01:38:55,680
Speaker 1: and taking an hour off of school or whatever the

1801
01:38:55,680 --> 01:38:59,679
Speaker 1: case may be, I wonder if they have any clue

1802
01:39:00,920 --> 01:39:03,680
Speaker 1: as to any of the type of people that they

1803
01:39:03,720 --> 01:39:07,840
Speaker 1: are supporting when they are out there being all self

1804
01:39:07,920 --> 01:39:11,760
Speaker 1: righteous and anti ICE. And here's what Lisa MacLean had

1805
01:39:11,760 --> 01:39:14,280
Speaker 1: to say about some of the people that ICE is

1806
01:39:14,320 --> 01:39:17,600
Speaker 1: going after. Russ If we get here at number ten, please.

1807
01:39:18,520 --> 01:39:24,160
Speaker 10: DHS has pulled an illegal alien out of Zealand, Michigan,

1808
01:39:24,720 --> 01:39:31,680
Speaker 10: convicted of sexually exploiting a miner. This guy, this is

1809
01:39:31,720 --> 01:39:37,480
Speaker 10: who the protesters and the Democrats are defending. An illegal

1810
01:39:37,680 --> 01:39:43,120
Speaker 10: who is here who has been convicted, convicted, i might say,

1811
01:39:43,640 --> 01:39:48,519
Speaker 10: of sexually exploiting a miner. I don't know why you

1812
01:39:48,600 --> 01:39:51,680
Speaker 10: all aren't angry about that I'll share with you. It

1813
01:39:51,960 --> 01:39:57,639
Speaker 10: just it is unfathomable to me. In Grand Rapids, they

1814
01:39:57,680 --> 01:40:03,439
Speaker 10: got a guy convicted of larceny and sexual assault in

1815
01:40:03,560 --> 01:40:10,400
Speaker 10: Ipslanni Jackson in Detroit. In Howland, Pontiac DHS found deported

1816
01:40:10,840 --> 01:40:18,120
Speaker 10: illegal aliens committed of homicide, murder. These folks are monsters,

1817
01:40:18,720 --> 01:40:24,320
Speaker 10: and you have Democrats that are advocating for them to

1818
01:40:24,439 --> 01:40:29,560
Speaker 10: get released back into your communities. Why aren't you reporting

1819
01:40:29,640 --> 01:40:32,080
Speaker 10: and why aren't more people outraged?

1820
01:40:32,680 --> 01:40:33,479
Speaker 6: I don't get it.

1821
01:40:33,800 --> 01:40:36,000
Speaker 10: I gotta share with you. I don't get it. These

1822
01:40:36,040 --> 01:40:42,280
Speaker 10: folks are monsters. They're criminals. They murder, they sexually assault

1823
01:40:42,439 --> 01:40:45,840
Speaker 10: young women, miners, and you know.

1824
01:40:45,840 --> 01:40:46,920
Speaker 6: What the Democrats want to do.

1825
01:40:47,200 --> 01:40:52,960
Speaker 10: Let's release them in your communities and let's celebrate the criminals.

1826
01:40:53,760 --> 01:40:58,160
Speaker 10: Let's villainize the ICE agents and celebrate the people who

1827
01:40:58,200 --> 01:40:59,639
Speaker 10: are raping your children.

1828
01:41:01,080 --> 01:41:04,160
Speaker 1: So there's Lisa McLain and you've got to appreciate the

1829
01:41:04,240 --> 01:41:11,120
Speaker 1: passion that she has on this subject. And look, if

1830
01:41:11,160 --> 01:41:13,320
Speaker 1: you're in high school and you think it's a good

1831
01:41:13,360 --> 01:41:17,679
Speaker 1: idea to walk out of class and talk bad about ICE,

1832
01:41:18,080 --> 01:41:19,559
Speaker 1: do you even first of all, do you even know

1833
01:41:19,880 --> 01:41:22,680
Speaker 1: I saw an interview with a young person who was

1834
01:41:22,760 --> 01:41:25,680
Speaker 1: at an anti ICE rally, and the person who was

1835
01:41:25,680 --> 01:41:28,120
Speaker 1: talking to them said, do do you even know what

1836
01:41:28,160 --> 01:41:30,920
Speaker 1: ICE means? It's an acronym. Do you even know what

1837
01:41:30,960 --> 01:41:34,519
Speaker 1: ICE stands for? And and of course she didn't. All

1838
01:41:34,560 --> 01:41:37,200
Speaker 1: she knew was is that, well, you know what ICE

1839
01:41:37,280 --> 01:41:40,360
Speaker 1: is doing terrible things to these people, and we're anti ice.

1840
01:41:42,200 --> 01:41:45,040
Speaker 1: Do you even know? And look, if you're if if

1841
01:41:45,040 --> 01:41:47,200
Speaker 1: you're at Wanna Hill's High School, at Princeton High School,

1842
01:41:47,200 --> 01:41:50,000
Speaker 1: at Turpan or any of these other high schools around

1843
01:41:50,000 --> 01:41:52,519
Speaker 1: the area, think about walking out. Think about what you

1844
01:41:52,680 --> 01:41:56,720
Speaker 1: just heard. I'm hoping you're not listening to me right now.

1845
01:41:56,720 --> 01:41:58,280
Speaker 1: You should be in bed. You've got to prepare for

1846
01:41:58,320 --> 01:42:00,920
Speaker 1: school in the morning. But if you are up late

1847
01:42:01,000 --> 01:42:06,680
Speaker 1: listening to the radio, think about that. Think about the murderers,

1848
01:42:07,040 --> 01:42:12,760
Speaker 1: the thugs, the drug dealers, the child molesters, all those

1849
01:42:12,840 --> 01:42:15,360
Speaker 1: are the kind of people that you're supporting when you

1850
01:42:15,360 --> 01:42:17,479
Speaker 1: go out there in trash Ice. And with that, I

1851
01:42:17,600 --> 01:42:21,320
Speaker 1: gotta go. I'm out of here. I'm on for Cunningham

1852
01:42:21,439 --> 01:42:24,280
Speaker 1: a couple of days next week. Then I got my

1853
01:42:24,360 --> 01:42:27,080
Speaker 1: regular shows Wednesday and Thursday night next week. I think

1854
01:42:27,520 --> 01:42:29,639
Speaker 1: so well, we will talk to you then, Russ, thank

1855
01:42:29,680 --> 01:42:32,840
Speaker 1: you for everything, and we will see you next time

1856
01:42:32,880 --> 01:42:35,599
Speaker 1: here on the Home of the Reds. Seven all before

1857
01:42:35,640 --> 01:42:40,240
Speaker 1: I go, iHeartMedia and seven hundred WLW salute Cincinnati's own

1858
01:42:40,360 --> 01:42:43,439
Speaker 1: Procter and Gamble. If you've got someone there you would

1859
01:42:43,520 --> 01:42:46,800
Speaker 1: like for us to recognize on the air, text us

1860
01:42:46,960 --> 01:42:51,599
Speaker 1: their name to five one eight eight one and be listening.

1861
01:42:52,920 --> 01:42:56,040
Speaker 1: See you next time, Dan Carroll, seven hundred WLW