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Speaker 1: Welcome to the Tutor Dixon Podcast. I have no idea

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Speaker 1: what to expect from today because I have my old

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Speaker 1: co host with me and he can just sometimes get

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Speaker 1: very ornery. So I am excited to welcome Steve Gruber.

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Speaker 1: He is the host of the Steve Gruber Show on

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Speaker 1: Real America's Voice and he's live every weekday from six

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Speaker 1: to nine am and three to four because this guy

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Speaker 1: never shuts up. So welcome to the podcast, Steve.

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Speaker 2: I want an introduction. God bless you, Tutor. Nice to

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Speaker 2: see Merry Christmas. I think is what you might have

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Speaker 2: just came out weird.

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Speaker 1: That's that's that's right. I mean honestly, I was like,

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Speaker 1: what should I do to prepare to talk to Steve?

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Speaker 1: And I was like, well I even talk, No, you

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Speaker 1: might a little bit.

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Speaker 2: You don't prepare for Look, we talk about everything every day,

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Speaker 2: so you know the way I feel about to throw

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Speaker 2: anything at Maybe we can talk about anything you want.

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Speaker 2: We can cover anything you want. Nice to see you again,

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Speaker 2: by the way, and glad to be here.

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Speaker 1: Well, I'm glad you are here. And I wanted to

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Speaker 1: talk about the media stuff because as obviously you and

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Speaker 1: I were on the other side of it together and

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Speaker 1: we watched everything happen through the twenty twenty election. I

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Speaker 1: mean literally, we were reporting on all of the stuff

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Speaker 1: as it was happening, and I just I find it

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Speaker 1: fascinating how things have suddenly changed. You see this ABC

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Speaker 1: News settlement and the media is freaking out about it.

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Speaker 1: But I personally because I went through this with you,

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Speaker 1: and then I went through the race and I saw

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Speaker 1: what it was like to be on the other side.

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Speaker 1: And I look at Pete Haigseeth now and I'm like,

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Speaker 1: he is now seeing that as well. I am so

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Speaker 1: glad that Trump is not letting this go and he's

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Speaker 1: fighting back against the lies.

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Speaker 2: I agree with you. You know, you and I were

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Speaker 2: on the desk January the sixth. We were on the

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Speaker 2: desk ause all of that was unfolding on live television.

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Speaker 2: We were doing play by play watching it happen in

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Speaker 2: real time, trying to decipher what was happening as that

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Speaker 2: riot is I think it was a riot, a fair

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Speaker 2: way to.

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Speaker 3: Put it unfolded.

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Speaker 2: Now we see that in the J six Committee just happened,

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Speaker 2: and our friend and colleague John Solomon just announced to

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Speaker 2: the world that Liz Cheney has been referred for prosecution

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Speaker 2: because she meddled with a witness, Cassidy Hutchinson, the star

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Speaker 2: witness who said that Donald Trump lunged at the driver

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Speaker 2: of the of the beast of the Secret Service vehicle

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Speaker 2: and so worth.

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Speaker 3: Oh that's nonsense.

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Speaker 2: But look, ABC came out and set a bill Donald

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Speaker 2: Trump suit ABC and George Stephanopolis. He won sixteen million

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Speaker 2: dollars fifteen million dollars in the settlement, a million dollars

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Speaker 2: for attorney's fees. And now ABC News and Georgetephanopolis have

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Speaker 2: to apologize at Donald Trump.

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Speaker 3: And I think that's a brilliant start, but it's just

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Speaker 3: a start.

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Speaker 2: What the news media ought to do is apologize to

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Speaker 2: all of us for their behavior from the time that

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Speaker 2: Donald Trump came down the escalator. Honestly, I mean, they've

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Speaker 2: lied to us about Russia. They lied to us about

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Speaker 2: Hunter Biden, they've lied to us about January the sixth,

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Speaker 2: They've lied about God only knows what. And these are

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Speaker 2: the things that we've caught him on, Tutor. The fact

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Speaker 2: of the matter is the news media has not done

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Speaker 2: its job. It makes it sound like an open border

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Speaker 2: is a good idea and that the economy is fine,

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Speaker 2: and Joe Biden's perfectly competent.

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Speaker 3: I mean, come on, we know no.

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Speaker 1: And the reason I'm happy to see this is I

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Speaker 1: having been on the other side of it. I experienced

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Speaker 1: this where they take your words and they manipulate what

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Speaker 1: you say. And I've now said this is sad. But

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Speaker 1: I have now come to the point where I've told

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Speaker 1: Michigan media, if you're going to pre tape something, I

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Speaker 1: won't do it because I don't trust you, and I

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Speaker 1: don't trust them. They've too often taken my words, cut

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Speaker 1: me off, splice something, put it together, made it look

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Speaker 1: like I said something I didn't say. And I believe

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Speaker 1: that the twenty twenty two election was lost because of

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Speaker 1: the way they manipulated my words, because it gave the

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Speaker 1: Democrats something. And that's the problem. What they're doing is

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Speaker 1: not reporting news. They're trying to find a SoundBite to

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Speaker 1: give to the other side for a commercial.

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Speaker 3: Absolutely, and it's a disservice.

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Speaker 2: Look, and here I'll refer to this press comment that

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Speaker 2: Donald Trump just did in mar A Lago.

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Speaker 3: His attitude's totally different to you, probably.

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Speaker 2: I mean, you've been around him enough to know, and

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Speaker 2: so have I that normally I mean, we were on

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Speaker 2: the platform when he would say fake news, and he'd

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Speaker 2: point back and everybody would hear us. It's like, not

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Speaker 2: exactly us, folks, it's this guy here is not anyhow.

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Speaker 1: You're like, no, no, over here, not me.

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Speaker 3: I'm the good guy anyhow.

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Speaker 2: But in the press conference here there was a question

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Speaker 2: asked about preemptive strikes against a rod It's just a

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Speaker 2: kind of really stupid question, like you sit up there

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Speaker 2: say yes, I would do this, Yes, you would never

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Speaker 2: give away policy like that. Instead of that, Trump goes, well,

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Speaker 2: that's a great question. You know, obviously I can't answer that.

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Speaker 2: That's a different Donald Trump than the guy who would

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Speaker 2: say that's the dumbest question.

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Speaker 3: I've ever heard. You're an idiot. Everybody knows you're an

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Speaker 3: idiot reporter. That's the way he used to be.

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Speaker 2: So I think Donald Trump is actually seen now an

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Speaker 2: opportunity for him to ingratiate himself to some extent with

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Speaker 2: the media. Look, the sixteen million dollars against ABC.

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Speaker 3: Was one part of it.

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Speaker 2: Then you've got, of course, Bob Woodward, You've got CBS News,

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Speaker 2: a ten billion dollar lawsuit against CBS News, and Celtzer,

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Speaker 2: the woman to put out that bogus poll a couple

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Speaker 2: of days before the election showing Kamala Harris winning in

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Speaker 2: Iowa by three points. I think Trump won by thirteen

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Speaker 2: or fourteen. She's only off by sixteen seventeen points. JENNI

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Speaker 2: file suit against them because these our people that are

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Speaker 2: directly trying to interfere with the election, and in that

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Speaker 2: same vein, By the way, isn't it just delicious to

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Speaker 2: see Mark Zuckerberg park out a million dollars for Donald

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Speaker 2: Trump's inauguration balls.

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Speaker 3: Same thing with Jeff Bezos, people that were clearly.

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Speaker 2: On the other side in twenty twenty, people that clearly

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Speaker 2: manipulated the election and the information, just like you said,

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Speaker 2: editing stories, deceptively doing things to push the narrative, whether

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Speaker 2: at Facebook or the Washington Post. Now those guys are

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Speaker 2: chipping in a million dollars apiece for Trump's inauguration parties.

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Speaker 2: I think that's spectacular and I do think it's a

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Speaker 2: new day.

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Speaker 1: With well and I want to talk about that because

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Speaker 1: I've had a lot of people come out and say

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Speaker 1: to me, I don't like this. I don't like the

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Speaker 1: idea of Mark Zuckerberg coming out like we can't welcome

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Speaker 1: them into the fold. They can't be a part of it.

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Speaker 1: And I disagree because I think that a lot of

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Speaker 1: people have been educated, they've seen what the destruction has done.

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Speaker 1: I don't want to be the left. The left, that's

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Speaker 1: their strategy. If you've been against us, ever, we will

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Speaker 1: never welcome you in. And that's not the new Donald Trump.

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Speaker 1: And you made a great point, because he has changed,

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Speaker 1: and he's admitted that he's changed. I mean, he's kind

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Speaker 1: of admitted, he said, he said the other day, so

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Speaker 1: a point, Yes, he said the other day. Now suddenly

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Speaker 1: nobody wanted to work with me in my first term.

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Speaker 1: Now everybody wants to be my friend, he said. I

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Speaker 1: don't know. I guess they're saying I have a different attitude,

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Speaker 1: or my personality has changed or something. So he's sort

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Speaker 1: of admitting that. Maybe he's so.

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Speaker 2: In fairness, you look back to the way he was

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Speaker 2: very combatated during his first term, and I understand why.

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Speaker 2: Look at all the lies that were tell all the

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Speaker 2: lies that were told, whether it was Russia or you know,

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Speaker 2: the January sixth thing after he left office and everything

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Speaker 2: in between. There are a lot of lies told about

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Speaker 2: what he was in you know, hotel rooms with hookers

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Speaker 2: in Moscow, all bogus, all of them. But Donald Trump

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Speaker 2: after the twenty twenty election, regardless of how that ended up,

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Speaker 2: in regardless of what caused that, we can set that

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Speaker 2: aside for now. For four years, Donald Trump has studied

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Speaker 2: why he lost. Don Hu has studied what went wrong.

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Speaker 2: He has studied the people in his first term and

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Speaker 2: what wrong there and in the entering and the intermitt

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Speaker 2: In four years, there is what's happened in the middle,

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Speaker 2: and he has come out with a plan to move forward.

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Speaker 2: And that plan includes apparently a better relationship with the media,

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Speaker 2: a better relationship with people like look Zuckerberg's powerful Bezos

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Speaker 2: is powerful. Better to have your enemies close and make

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Speaker 2: sure that they're working with you.

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Speaker 3: I understand people sentiments.

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Speaker 2: Saying I don't want to forgive those people, I can't.

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Speaker 3: Accept them in.

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Speaker 2: But you can have a truce, you can lay down

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Speaker 2: your weapons, you can be on the same side. You

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Speaker 2: cannot be on the receiving end of smears and twisted

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Speaker 2: stories all the time. And I think this puts the

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Speaker 2: playing field a lot more level. Now, do I think

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Speaker 2: the media is going to suddenly come to the right No,

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Speaker 2: but do I believe there's a lot of opportunity to

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Speaker 2: have an equal footing and an equal playing field. Yeah,

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Speaker 2: we can get a lot closer than we were before.

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Speaker 2: And I think so far he has done a masterful job.

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Speaker 2: He put his cabinet in place in eighteen days. He's

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Speaker 2: got all these advisors around, and you mentioned Pete Hegseth.

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Speaker 2: I think all these people are going through again. Public

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Speaker 2: sentiment is with Donald Trump to change the path and

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Speaker 2: the direction forward. And with public sentiment, what it is,

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Speaker 2: approval rates fifty five, fifty six percent something like that.

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Speaker 2: Right now, He's got a path forward and part of

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Speaker 2: that is getting your message out. And he's smart enough

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Speaker 2: to know and savvy enough to know that you need

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Speaker 2: to work with Zuckerberg or Bezos and others as well

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Speaker 2: to make sure your message is out in good fashion

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Speaker 2: and that people have the ability to hear what's really happening.

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Speaker 1: Well, I think that's something that I mean, you know,

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Speaker 1: we've just been through this lame duck session in Michigan

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Speaker 1: where we have seen an inability to even work with

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Speaker 1: each other on the Democrat side, certainly not crossing the aisle.

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Speaker 1: I mean, we have a really severe situation here where

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Speaker 1: we're potentially going to shut down all of the restaurants,

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Speaker 1: We're potentially going to affect everybody's paid time off. It's

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Speaker 1: a disaster in the state because of some crazy laws

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Speaker 1: that are going into effect. Everybody said they were going

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Speaker 1: to come together on this for workers, not for anybody else,

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Speaker 1: not for Republicans, not for Democrats, for the people of

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Speaker 1: the state who so desperately needed. And it's about out

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Speaker 1: fifty thousand people in the restaurant industry that are going

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Speaker 1: to be affected by this. They will not cross the aisle.

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Speaker 1: They won't even bring it up. This is what I

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Speaker 1: think people are seeing with Donald Trump. That's why other

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Speaker 1: people are seeing opportunities to go into government, because they're saying,

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Speaker 1: wait a minute, all of a sudden, this is a

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Speaker 1: we want to work together. I can cross the aisle,

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Speaker 1: I can compromise. He's the art of the deal is true.

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Speaker 1: You know, there is there is an art to negotiating

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Speaker 1: and coming together. You cannot hold you cannot hold yourself in.

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Speaker 1: I'm unwilling to speak to anybody else. That doesn't work.

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Speaker 3: No, it doesn't work. And you're exactly right, you know,

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Speaker 3: and talk about there's.

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Speaker 2: Been on wage thing policies that have to change to

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Speaker 2: make this country better. Let me give you a quick

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Speaker 2: example that I've just read about in California, the hotel workers.

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Speaker 2: They have a new minimum wage in California thirty dollars

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Speaker 2: an hour.

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Speaker 3: And what's happening.

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Speaker 2: The hotels are closing the doors and saying we're not

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Speaker 2: going to do hotel service anymore, but we will open

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Speaker 2: as a homeless shelter because we'll get big money from

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Speaker 2: the government for doing that.

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Speaker 3: Another failure.

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Speaker 2: You know, back on election day, I think the bigest

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Speaker 2: loser in my mind, there were some big losers. Barack

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Speaker 2: Obama big loser, the national media big loser.

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Speaker 3: Gretchen Whitmer big loser on election day.

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Speaker 2: And she's not corrected that she was the co chair

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Speaker 2: of the Biden and then the Kamala Harris campaign.

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Speaker 3: She lost Michigan, she lost the state House in Michigan.

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Speaker 2: She has been considered until that point a front runner

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Speaker 2: to be a nominee for the Democrat Party to be

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Speaker 2: the presidential nominee in twenty twenty eight. I don't know

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Speaker 2: if she's got it in the tank anymore. Politically speaking,

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Speaker 2: I think she might have exhausted all of her political

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Speaker 2: capital because of the loss on the fifth of November,

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Speaker 2: and to let this fester, to let this fester with

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Speaker 2: the midum wage. How do you think this is going

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Speaker 2: to play? I mean, you've been through this. How does

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Speaker 2: this play in national campaign ads? She went against the

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Speaker 2: little guys, she buried them. When restaurant workers needed help,

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Speaker 2: she turned her back and boom, there's the campaign ad

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Speaker 2: in boom, she gets crushed. And so I think Gretcha

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Speaker 2: Whitmer's stock has gone way down as she's completely disappeared.

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Speaker 1: I mean, you make a great point. She was out

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Speaker 1: there every single day. We've talked about this a number

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Speaker 1: of times. She came out at the end of June

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Speaker 1: and said, I'm releasing my memoir that was three pages long.

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Speaker 1: She went and did this big tour. She's never returned

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Speaker 1: to the state. No one's seen her. I asked last week,

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Speaker 1: where is Gretchen.

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Speaker 2: She she's with Tim Walls. They both disappeared. Yeah right, yeah,

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Speaker 2: hey Tim.

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Speaker 1: She's singing Christmas carols and crying into his cheerios. And

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Speaker 1: she went out to La and then never came back.

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Speaker 1: We're in the middle, I mean her Republican or her

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Speaker 1: Democrat House right now, her Speaker of the House has

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Speaker 1: made enemies all across the Democrat Party. It's falling apart.

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Speaker 1: She's tweeting about how she's helping seniors. Think about the

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Speaker 1: irony of the woman who killed more seniors than anybody

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Speaker 1: in the history of Michigan coming out in the midst

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Speaker 1: of her party breaking down and saying she's helping seniors.

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Speaker 1: It's complete chaos. I don't think they have a bench.

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Speaker 1: I think what we saw in this election was that

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Speaker 1: they realized. Everybody says that they had to give the

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Speaker 1: money to Kamala, but really, if somebody had been great,

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Speaker 1: they would have moved, they would have gone to that person.

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Speaker 1: There's no great person, you know.

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Speaker 2: And I'm looking at the twenty twenty eight field, and

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Speaker 2: I always look ahead.

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Speaker 3: Look, the field for Republicans is short. It's one person.

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Speaker 3: It's JD. Vance.

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Speaker 2: If they have a successful term here with Donald Trump,

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Speaker 2: it's JD. Vance and everybody else is behind him. On

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Speaker 2: the Democrat side, you still got Whitmer in there, but

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Speaker 2: I don't know that she does nearly as well she

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Speaker 2: would have. You've got Joshapiro, of course, she got Gavin

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Speaker 2: Neus Mountain California, but his policy has been so bad.

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Speaker 3: I don't know where you go. I don't know who

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Speaker 3: you end up with on the Democrats side.

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Speaker 2: Here in Michigan, Man, the mayor of Detroit, threw a

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Speaker 2: curveball into the Democrats plans.

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Speaker 3: Mike dougg Boom, I'm going to run as an independent.

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Speaker 2: That blows that up, which means whomever Tutor might run

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Speaker 2: to be Republican represent Canadate for governor probably wins in

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Speaker 2: twenty twenties. You know, I know you've been down that road,

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Speaker 2: but clearly it opens up a whole new set of

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Speaker 2: possibilities for any Republican running for governor in Michigan. Right.

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Speaker 1: I don't know if you saw that the situation where

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Speaker 1: Pete booda judge, was on the plane and his plane

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Speaker 1: was delayed for an hour, and so, you know, the

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Speaker 1: guy who didn't go to East Palestine, who couldn't be

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Speaker 1: who hasn't talked about drones, who hasn't helped with any

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Speaker 1: of the situations with the airlines, he decided that because

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Speaker 1: his flight was delayed for an hour, he would handle snacks.

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Speaker 3: Super helpful, super helpful. You know, nobody likes the carpetbagger.

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Speaker 2: And look, he moved to Travers City what two years ago,

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Speaker 2: northern Michigan to be with his husband, near his family.

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Speaker 3: Something like that. Nobody cares.

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Speaker 2: I think the Democrats have a real problem. First of all,

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Speaker 2: we have Gretchen fatigue here in Michigan, and I think

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Speaker 2: that's what's the problem with her. First, and back to

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Speaker 2: her problems running as a national candidate. She lost in

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Speaker 2: November fifth not just the state on Electoral College, but

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Speaker 2: also for the State House.

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Speaker 3: So she loses there.

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Speaker 2: Then she's out of office for another year. Year and

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Speaker 2: a half before she announces her candidate. I mean, she

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Speaker 2: talked about disappearing and being completely irrelevant, not a play.

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Speaker 3: That's where she is.

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Speaker 2: Where somebody like Josh Shapiro's still in office, You've still

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Speaker 2: got people that are higher profile. I think Gradua Weimer's

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Speaker 2: stock is going down pretty quickly. Actually, I think she's

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Speaker 2: in real trouble politically. And what else does she have left.

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Speaker 1: Let's take a quick commercial break. We'll continue next on

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Speaker 1: the Tutor Dixon Podcast. There was a genius move on

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Speaker 1: the part of Donald Trump to go to you know,

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Speaker 1: everybody says that Baron helped him pick out the podcast,

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Speaker 1: but to go to the podcast, to go to TikTok

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Speaker 1: to speak to young people. But I think the difference

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Speaker 1: between Donald Trump and Democrats and Gretchen Whitmer was a

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Speaker 1: leader in this going to the youth and going to

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Speaker 1: TikTok and all of that, is that Donald Trump went

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Speaker 1: to these places as himself. They tried to change, They

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Speaker 1: tried to do a little the thing with the Communion,

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Speaker 1: they tried to do little dances. They made idiots of themselves,

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Speaker 1: They embarrassed themselves. It was like Hollywood came in and said,

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Speaker 1: we'll produce political candidates in the way that we saw Veep.

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Speaker 1: You know, It's like, I mean, this was exactly veep

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Speaker 1: what we watched with Kamala Harris, and it was ridiculous.

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Speaker 2: When Donald Trump leaned out to drive through windows, still

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Speaker 2: had the red tie, has the apron on, still has

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Speaker 2: the red tie on. He's still Donald Trump. He's not

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Speaker 2: trying to be anything, but what he is is he

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Speaker 2: making fries. Sure, he's also making friends. He's there small

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Speaker 2: hunger and I know this, and so do you. Here's

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Speaker 2: something about Donald Trump that people should know when you're

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Speaker 2: having a one on one conversation with Donald Trump.

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Speaker 3: You're having a one on one conversation with Donald Trump.

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Speaker 3: He looks you right in the eyes.

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Speaker 2: Everything else kind of fades away for him. You become

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Speaker 2: the most important person in the universe. It might be

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Speaker 2: for fifteen seconds or fifteen minutes, but the fact of

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Speaker 2: the matter is you become the focus of his attention.

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Speaker 3: Same thing with tru McDonalds.

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Speaker 2: When he was talking to people on the drive through,

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Speaker 2: same thing, he's talking to the guy that worked there.

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Speaker 2: Same thing when he was talking to auto workers from

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Speaker 2: Michigan to Tennessee, to people working in Missouri, all over

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Speaker 2: this country. He connected with people because he connects with

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Speaker 2: people on a person level when he talks to him.

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Speaker 3: And I think that's really what helped here.

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Speaker 2: Plus, he might be a billionaire, but he's a blue

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Speaker 2: collar billionaire and it really.

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Speaker 3: Worked for him and he connected with people.

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Speaker 2: He's not produced by Hollywood, he's not produced by anyone.

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Speaker 2: Sometimes people would say maybe he should be a little

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Speaker 2: bit produced, But as we've talked about already today, he

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Speaker 2: has really I think the best word is evolved.

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Speaker 3: He's evolved.

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Speaker 2: And I really am optimistic about the second term because

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Speaker 2: if you're less combative and you can do exactly what

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Speaker 2: you said, Tutor, which is to bring people together.

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Speaker 3: It doesn't matter if you're a Democrat or an independent.

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Speaker 2: Taulcy Gabbard, Bobby Kennedy, I mean, bring these people on board.

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Speaker 2: Elon Musk another former Democrat. Of course, So ho's Donald Trump?

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Speaker 3: So was Ronald Reagan?

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Speaker 2: Hu to say, well, I don't trust former Democrats like

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Speaker 2: Tulci Gabbard. Well, Donald Trump was a Democrat. Ronald Reagan

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Speaker 2: was a Democrat. So don't do that either on our side.

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Speaker 2: Set that aside. Work for America, work for your future,

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Speaker 2: work for your kids, work for this country. I really

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Speaker 2: believe that, and I believe he has figured that out

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Speaker 2: over the last four years.

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Speaker 1: I think you make an interesting point too, when you

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Speaker 1: say that he is truly a blue collar president. This

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Speaker 1: is so, this is something that I encountered when I

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Speaker 1: was campaigning, and I talked to a lot of people

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Speaker 1: who were either campaigning or very involved in politics. And

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Speaker 1: I will never forget one of the guys that I

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Speaker 1: met who was like, I'm just like you. I own

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Speaker 1: a shop too, and I own a few around the country.

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Speaker 1: And he said, and I tried to make a point

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Speaker 1: of once a month going down there and waving to

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Speaker 1: the people because they love to see the owner of

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Speaker 1: the company going down to their level and waving. And

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Speaker 1: I was so disgusted because it wasn't Trump. It wasn't

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Speaker 1: that attitude of going out and finding out what they're doing.

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Speaker 1: It was waving from afar. And I thought, the amount

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Speaker 1: of times that I have spent out in our shop

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Speaker 1: working alongside people pulling castings, I putting them in my

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Speaker 1: car and driving them to ups on my own and

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Speaker 1: making sure we were getting things out. That's working. And

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Speaker 1: I worked in the shop. You know, that's working with people.

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Speaker 1: You have no idea, and I think too often to

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Speaker 1: your point, people think that if you've owned a company,

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Speaker 1: you know what the blue collar society of America under

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Speaker 1: it lives every day, and they don't. They don't. This

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Speaker 1: is a there and that's why Trump resonates with people.

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Speaker 1: But you also talked about how he's available people feel

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Speaker 1: like they know him. So Stephanie Rule also she made

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Speaker 1: news recently for MSNBC. Stephanie Rule came out and said,

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Speaker 1: I called Trump and honestly he answered a cell phone.

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Speaker 1: And I thought, this is amazing, because it's true, you

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Speaker 1: call him and he picks up, and he picks up,

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Speaker 1: usually on the first ring. It's like, how does this

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Speaker 1: guy just pick up a cell phone? But her point

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Speaker 1: was I can call him, and even though he told

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Speaker 1: me to go to help, I asked for an interview.

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Speaker 1: He picks up. She said, I have to go through

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Speaker 1: fifty people to get to a Democrat.

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Speaker 2: Right, exactly true. You know Stephanie Rule, I think she

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Speaker 2: set the record for the biggest plunge in ratings. I

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Speaker 2: don't know why she got the prize, but I think

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Speaker 2: she did down sixty five percent. Again, that comes back

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Speaker 2: to where we talked about at the beginning of this

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Speaker 2: conversation was that the news media owes everybody in apology,

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Speaker 2: MSNBC and CNN. They're in free fall. I don't think

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Speaker 2: Anderson Cooper is going to get paid twenty million dollars

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Speaker 2: a year. Much longer back to Donald Trump going to

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Speaker 2: the bodega, for example, in New York City, right.

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Speaker 3: Puts on the hard hat.

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Speaker 2: He didn't that day, but you've seen lots of pictures

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Speaker 2: of downtop our construction sites because he builds things, and

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Speaker 2: he puts on the hard hat and he goes out

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Speaker 2: and he praises. These are the guys that actually do

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Speaker 2: the work. These are the guys that build. These are

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Speaker 2: the lunch bucket crew, the guys that have this, you know,

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Speaker 2: the Stanley lunch bucket and the Stanley you know, coffee mug,

436
00:19:38,720 --> 00:19:40,760
Speaker 2: the whole bit. Those are the guys he identifies with

437
00:19:40,840 --> 00:19:43,040
Speaker 2: because he does exactly what you just said. He goes

438
00:19:43,040 --> 00:19:45,800
Speaker 2: and he sees people where they are. He meets them

439
00:19:45,800 --> 00:19:49,120
Speaker 2: where they are, not waving from the back of somewhere

440
00:19:49,119 --> 00:19:51,880
Speaker 2: and not some Hollywood produced andying. No, he'll go down

441
00:19:51,920 --> 00:19:54,840
Speaker 2: there and he'll talk and he'll ask people, Okay, how

442
00:19:54,840 --> 00:19:57,760
Speaker 2: do we help you? That's what he did on this campaign.

443
00:19:57,800 --> 00:20:01,120
Speaker 2: How do I help you as a single momb that's working.

444
00:20:01,160 --> 00:20:03,440
Speaker 2: How do I help you as an auto worker trying

445
00:20:03,440 --> 00:20:05,640
Speaker 2: to support a family in Michigan? How do I help

446
00:20:05,680 --> 00:20:08,760
Speaker 2: you make sure the roads are okay in Mississippi or

447
00:20:08,800 --> 00:20:11,400
Speaker 2: whatever the case might be. The fact is he went

448
00:20:11,480 --> 00:20:14,240
Speaker 2: and met people and meets people on their level. And look,

449
00:20:14,320 --> 00:20:17,920
Speaker 2: he will listen to anyone. I mean, he asked me.

450
00:20:17,960 --> 00:20:19,520
Speaker 2: The last time I saw him here was he was

451
00:20:19,560 --> 00:20:21,800
Speaker 2: at an event in Detroit. Last time I saw him

452
00:20:21,800 --> 00:20:24,040
Speaker 2: in person, Well, how are we doing in Michigan? I said,

453
00:20:24,040 --> 00:20:25,720
Speaker 2: I think it's close. I think you're by about a point.

454
00:20:25,760 --> 00:20:26,800
Speaker 2: Thank god, I was about right.

455
00:20:27,000 --> 00:20:28,840
Speaker 3: He said, well, how could that even be true? He goes,

456
00:20:28,920 --> 00:20:30,440
Speaker 3: I mean, how could anybody vote for that guy?

457
00:20:30,480 --> 00:20:32,680
Speaker 2: This is before just before Biden dropped out a couple

458
00:20:32,720 --> 00:20:35,480
Speaker 2: of days and I said, honestly, I don't know. A

459
00:20:35,520 --> 00:20:36,920
Speaker 2: couple of days later he was out. There was a

460
00:20:36,960 --> 00:20:39,360
Speaker 2: Detroit Economic Club meeting. The last time I saw down

461
00:20:39,359 --> 00:20:43,800
Speaker 2: in the person, but again, straight eyed, eye contact, having

462
00:20:43,840 --> 00:20:46,280
Speaker 2: a real conversation about what's going on in Michigan, what

463
00:20:46,359 --> 00:20:48,000
Speaker 2: I see, what I believe is happening.

464
00:20:48,000 --> 00:20:52,520
Speaker 3: And he does this a thousand times a day, five.

465
00:20:52,320 --> 00:20:54,600
Speaker 2: Thousand times a day, because every point of contact, whether

466
00:20:54,640 --> 00:20:59,840
Speaker 2: it's Stephanie Rule or Tutor Dixon or me, he's gleaning information.

467
00:21:00,040 --> 00:21:01,320
Speaker 3: Every time he talks to somebody.

468
00:21:01,320 --> 00:21:03,080
Speaker 2: He reminds me a lot of my own father, who

469
00:21:03,119 --> 00:21:05,119
Speaker 2: would ask a million questions blah blah blahla. Why does

470
00:21:05,119 --> 00:21:07,399
Speaker 2: he ask him any questions? Because he's gathering information? And

471
00:21:07,440 --> 00:21:09,359
Speaker 2: I think Donald Trump is a master at that. And

472
00:21:09,400 --> 00:21:12,840
Speaker 2: he's a master of asking anybody, whether they're here on

473
00:21:12,840 --> 00:21:16,040
Speaker 2: the income ladder or they're billionaires like Elon Musk and

474
00:21:16,080 --> 00:21:18,760
Speaker 2: other people that are around him now, Dana White and

475
00:21:18,800 --> 00:21:22,119
Speaker 2: some of those folks. He asks everybody from the bottom

476
00:21:22,160 --> 00:21:24,280
Speaker 2: of the top and everything in between. And that's why

477
00:21:24,320 --> 00:21:26,960
Speaker 2: he is genuine, and that's why he was able to

478
00:21:26,960 --> 00:21:31,520
Speaker 2: come back and create the greatest comeback in American political history,

479
00:21:31,960 --> 00:21:36,000
Speaker 2: greatest ever. Now his legacy, I think, I think he

480
00:21:36,040 --> 00:21:37,639
Speaker 2: spends his time trying to figure out how to do

481
00:21:37,760 --> 00:21:40,639
Speaker 2: everything he promised, because I think what drives Donald Trump

482
00:21:40,720 --> 00:21:44,400
Speaker 2: now is how do I become This is him thinking,

483
00:21:44,440 --> 00:21:47,639
Speaker 2: how do I become the greatest president? How do I

484
00:21:47,720 --> 00:21:49,880
Speaker 2: become one of the greats? And I do it by

485
00:21:49,880 --> 00:21:52,400
Speaker 2: doing this and this and this and keeping my promises.

486
00:21:52,440 --> 00:21:54,800
Speaker 2: So I think his days are driven by how he

487
00:21:54,880 --> 00:21:58,160
Speaker 2: fulfills the promises he made, because it really drives him.

488
00:21:58,480 --> 00:22:01,560
Speaker 2: He wants to make sure he's not for twenty twenty,

489
00:22:01,880 --> 00:22:06,120
Speaker 2: but for twenty twenty four, five, six, seven, and eight.

490
00:22:06,280 --> 00:22:09,640
Speaker 2: I think that is what fires him up every single day,

491
00:22:09,640 --> 00:22:12,040
Speaker 2: how to be the greatest possible president and leader of

492
00:22:12,080 --> 00:22:12,640
Speaker 2: this country.

493
00:22:13,040 --> 00:22:15,480
Speaker 1: And I think he's setting Republicans up for a success

494
00:22:15,760 --> 00:22:18,200
Speaker 1: in just the country up for success. See, I don't

495
00:22:18,200 --> 00:22:20,080
Speaker 1: think it is about for him. I don't think it's

496
00:22:20,119 --> 00:22:23,840
Speaker 1: necessarily about Republican or Democrat. It's about success. And he said,

497
00:22:24,359 --> 00:22:27,480
Speaker 1: I don't need retribution. Success is the best retribution. He's

498
00:22:27,520 --> 00:22:29,679
Speaker 1: not going to waste his time. He's got four years,

499
00:22:30,080 --> 00:22:32,560
Speaker 1: and it was perfect that he had the space in

500
00:22:32,600 --> 00:22:35,120
Speaker 1: between because he could really see what they were going

501
00:22:35,160 --> 00:22:37,440
Speaker 1: to do. But I think that your point about him

502
00:22:37,640 --> 00:22:40,359
Speaker 1: actually coming to people and meeting people. I think what

503
00:22:40,520 --> 00:22:44,560
Speaker 1: democrats and I will say, honestly, what politicians have gotten

504
00:22:44,600 --> 00:22:48,000
Speaker 1: wrong for years is that they're looking for the photo op.

505
00:22:48,200 --> 00:22:51,600
Speaker 1: With Donald Trump, it's an experience. He's actually out there

506
00:22:51,880 --> 00:22:55,160
Speaker 1: wanting to learn, and the questions is because he wants

507
00:22:55,200 --> 00:22:58,000
Speaker 1: to take as much information back. You'd much rather be

508
00:22:58,240 --> 00:23:01,760
Speaker 1: with somebody, I promise you asking you questions than someone

509
00:23:01,760 --> 00:23:04,360
Speaker 1: who's telling you how things should be, because as long

510
00:23:04,400 --> 00:23:07,399
Speaker 1: as they're telling you, they don't believe you have a clue.

511
00:23:07,480 --> 00:23:08,840
Speaker 1: They don't want to hear from you.

512
00:23:08,760 --> 00:23:09,560
Speaker 3: Right, and he does.

513
00:23:09,680 --> 00:23:12,720
Speaker 2: And you know, let me ask you this, tutor, because

514
00:23:12,800 --> 00:23:15,560
Speaker 2: I think if Donald Trump is successful in this first

515
00:23:15,640 --> 00:23:21,000
Speaker 2: fifteen eighteen months, if Doge works with Elon and Vivey,

516
00:23:21,600 --> 00:23:26,520
Speaker 2: if the border is secured, if the economy continues to

517
00:23:26,560 --> 00:23:29,280
Speaker 2: be solid and some of the pricing comes out if

518
00:23:29,280 --> 00:23:31,520
Speaker 2: he has a good tiars. I think it's entirely possible

519
00:23:31,600 --> 00:23:35,520
Speaker 2: he has a good mid term election cycle. If that's true,

520
00:23:35,600 --> 00:23:37,200
Speaker 2: and I believe from where we stand right now, that's

521
00:23:37,320 --> 00:23:42,080
Speaker 2: entirely likely. What happens to the Democrat Party, honestly, what

522
00:23:42,119 --> 00:23:44,600
Speaker 2: happens to the Democrat Party? Do they become a regional party?

523
00:23:44,640 --> 00:23:47,359
Speaker 2: Because in Michigan, if he has a good two years

524
00:23:47,600 --> 00:23:50,200
Speaker 2: and a good term, then like I say, JD. Vance's

525
00:23:50,240 --> 00:23:51,879
Speaker 2: your short list there it is you move forward with

526
00:23:51,920 --> 00:23:54,439
Speaker 2: the president who's forty four years old, young, environ and

527
00:23:54,720 --> 00:23:57,320
Speaker 2: continues to do those things that have brought America back.

528
00:23:58,359 --> 00:24:00,439
Speaker 2: What's left of the Democrat Party because they're not going

529
00:24:00,480 --> 00:24:03,760
Speaker 2: to hold on to New Jersey or Maine or other

530
00:24:03,800 --> 00:24:05,920
Speaker 2: states that were close this time, they'll start to see

531
00:24:06,160 --> 00:24:09,240
Speaker 2: erosion of the support in states. I mean those are states, Minnesota,

532
00:24:09,600 --> 00:24:12,520
Speaker 2: New Jersey, Main We're all within five points, right, So

533
00:24:12,560 --> 00:24:15,240
Speaker 2: that's pretty close in the world of electoral politics.

534
00:24:15,240 --> 00:24:17,920
Speaker 3: And he could help the Republicans take all of that.

535
00:24:18,359 --> 00:24:22,880
Speaker 2: And again, it's not Republican, it's not Democrat, not hardcore

536
00:24:22,920 --> 00:24:26,040
Speaker 2: for him, and it's not independent. It's doing the work

537
00:24:26,680 --> 00:24:28,879
Speaker 2: of helping this country move forward.

538
00:24:28,920 --> 00:24:30,920
Speaker 3: And be successful. I think you're exactly right.

539
00:24:31,240 --> 00:24:34,320
Speaker 1: I mean, I think the Democrat Party has a major overhaul.

540
00:24:34,400 --> 00:24:36,800
Speaker 1: I think after so this is how I kind of

541
00:24:36,960 --> 00:24:39,560
Speaker 1: can break it down when I look at twenty sixteen.

542
00:24:39,960 --> 00:24:43,080
Speaker 1: I mean, we in Michigan were a great example because

543
00:24:43,080 --> 00:24:45,919
Speaker 1: we're a swing state. So the Democrat Party started to

544
00:24:45,960 --> 00:24:48,840
Speaker 1: take over, and they took over in a very nefarious,

545
00:24:49,040 --> 00:24:52,080
Speaker 1: negative way. They brought in all these C fours and

546
00:24:52,200 --> 00:24:56,200
Speaker 1: C three's. They started to spread this misinfformation. They started

547
00:24:56,240 --> 00:25:00,200
Speaker 1: to get into people's heads and spread fear and anxiety,

548
00:25:00,240 --> 00:25:02,000
Speaker 1: and they figured it as long as they could make

549
00:25:02,080 --> 00:25:05,800
Speaker 1: you as scared as possible of Republicans, they could win.

550
00:25:06,840 --> 00:25:09,960
Speaker 1: There was a turning point. They went too far when

551
00:25:10,080 --> 00:25:14,760
Speaker 1: they started to go after Trump with legal cases, when

552
00:25:14,760 --> 00:25:18,679
Speaker 1: they raided Mara a Lago, when the assassination attempt happened,

553
00:25:18,680 --> 00:25:21,520
Speaker 1: and they wouldn't shut their mouths. The American people went,

554
00:25:21,680 --> 00:25:23,800
Speaker 1: this is not the country that we're used to. And

555
00:25:23,840 --> 00:25:26,920
Speaker 1: the Democrats fell on their faces because they don't have

556
00:25:26,960 --> 00:25:29,760
Speaker 1: a plan B. Their Plan A was to freak you out.

557
00:25:29,800 --> 00:25:33,320
Speaker 1: Their plan A worked in twenty twenty, they thought, and

558
00:25:33,359 --> 00:25:35,720
Speaker 1: they figured they could get it to work again. And

559
00:25:35,840 --> 00:25:40,280
Speaker 1: yet they completely fumbled and now they are It's like

560
00:25:40,320 --> 00:25:42,920
Speaker 1: they're standing there with their standing there naked in front

561
00:25:42,960 --> 00:25:45,960
Speaker 1: of the American people because people have seen exactly what

562
00:25:46,040 --> 00:25:48,240
Speaker 1: their plan is and they don't like it. They're not

563
00:25:48,400 --> 00:25:52,000
Speaker 1: buying it anymore. I mean, talk about real versus photo

564
00:25:52,000 --> 00:25:54,600
Speaker 1: op I mean you think about how stage things are

565
00:25:54,880 --> 00:25:58,440
Speaker 1: just in Michigan. In Michigan, Gretchen Whitmer had this big

566
00:25:58,880 --> 00:26:00,879
Speaker 1: I'm going to fix the damn roads. That was the

567
00:26:01,760 --> 00:26:05,000
Speaker 1: slogan she had, and then her photo ops were her

568
00:26:05,160 --> 00:26:09,680
Speaker 1: going out there with a shovel and putting asphalt into potholes,

569
00:26:09,720 --> 00:26:12,879
Speaker 1: which is not how you fix the roads. And everybody's like,

570
00:26:12,960 --> 00:26:15,919
Speaker 1: this is not an actual fix. Was all faked, It

571
00:26:15,960 --> 00:26:18,360
Speaker 1: was all And then I think that once we saw

572
00:26:18,440 --> 00:26:23,640
Speaker 1: Kamala's campaign, when you see the production company of Oprah

573
00:26:23,640 --> 00:26:25,680
Speaker 1: gets two and a half million dollars, when you see

574
00:26:25,680 --> 00:26:28,639
Speaker 1: all this money went out the door for all of

575
00:26:28,680 --> 00:26:31,400
Speaker 1: the show, but nothing was real. I mean when you

576
00:26:31,480 --> 00:26:34,119
Speaker 1: had Beyonce show up and everybody left the minute they

577
00:26:34,160 --> 00:26:37,680
Speaker 1: figured out she wasn't performing. They weren't there for democrats,

578
00:26:37,680 --> 00:26:40,240
Speaker 1: they were there for a free concert. You know, people

579
00:26:40,320 --> 00:26:43,240
Speaker 1: started to realize this now the Democrat Party is in

580
00:26:43,280 --> 00:26:46,639
Speaker 1: free fall, and I mean there are people clinging to

581
00:26:46,840 --> 00:26:50,320
Speaker 1: the we're going to have the trans agenda, We're going

582
00:26:50,359 --> 00:26:52,919
Speaker 1: to have the tampons and the boys' bathroom agenda. And

583
00:26:52,960 --> 00:26:55,080
Speaker 1: then you have the people on the other side of

584
00:26:55,080 --> 00:26:57,359
Speaker 1: the Democrat Party that are going, actually, I think this

585
00:26:57,440 --> 00:26:59,800
Speaker 1: is what lost us the election. Maybe we should back

586
00:26:59,840 --> 00:27:02,320
Speaker 1: off and start thinking about the workers again. No, we're

587
00:27:02,560 --> 00:27:04,920
Speaker 1: pulling apart and it is somewhat beautiful.

588
00:27:05,280 --> 00:27:09,560
Speaker 3: Yeah, it is what beautiful it is. You know, you

589
00:27:09,600 --> 00:27:10,960
Speaker 3: hear about the pendulum swinging back, but.

590
00:27:10,920 --> 00:27:13,600
Speaker 2: In this particular case, it's more like a guillotine because

591
00:27:13,640 --> 00:27:16,720
Speaker 2: people have had so much of this crap shoved on

592
00:27:16,880 --> 00:27:19,080
Speaker 2: them and for a long time, people just go, well,

593
00:27:19,520 --> 00:27:20,560
Speaker 2: that can't be serious.

594
00:27:20,640 --> 00:27:22,520
Speaker 3: You know, I'm just going to kind of move along.

595
00:27:22,560 --> 00:27:24,400
Speaker 2: For a lot of us, for example, we would drive

596
00:27:24,440 --> 00:27:26,320
Speaker 2: by the local school and say, any other probably teach

597
00:27:26,320 --> 00:27:28,440
Speaker 2: them the same thing they taught us. You know, America

598
00:27:28,560 --> 00:27:31,800
Speaker 2: is a free place. Here's the Constitution. And instead they're

599
00:27:31,920 --> 00:27:35,200
Speaker 2: telling kids how awful America was and the mistakes we've made.

600
00:27:35,240 --> 00:27:37,600
Speaker 2: If we've made mistakes of the country, sure we have.

601
00:27:37,600 --> 00:27:40,439
Speaker 2: Have we done things that were reprehensible and could be

602
00:27:41,040 --> 00:27:41,680
Speaker 2: considered bad.

603
00:27:41,760 --> 00:27:42,800
Speaker 3: Of course we have We're a nation.

604
00:27:42,880 --> 00:27:45,840
Speaker 2: It's not perfect in its creation, but what is perfect

605
00:27:45,880 --> 00:27:47,960
Speaker 2: is our ability to correct it because we have the

606
00:27:47,960 --> 00:27:51,240
Speaker 2: greatest founding documents in the history of the world. The Constitution,

607
00:27:51,320 --> 00:27:53,760
Speaker 2: the Decoration of Independence, the Bill of Rights, all of

608
00:27:53,800 --> 00:27:56,240
Speaker 2: these things are the envy of the world, especially the

609
00:27:56,240 --> 00:27:58,359
Speaker 2: First Amendment of the United States Constitution, the envy of

610
00:27:58,359 --> 00:28:01,720
Speaker 2: the world. And when you hear democrats come out and say,

611
00:28:01,760 --> 00:28:04,680
Speaker 2: it's one thing when they attack gun rights, Okay, I see,

612
00:28:04,880 --> 00:28:07,840
Speaker 2: I can almost have some ampathy for where they're coming with.

613
00:28:07,720 --> 00:28:08,840
Speaker 3: Gun rights and so forth.

614
00:28:08,960 --> 00:28:11,359
Speaker 2: But when it comes to free speech and when it

615
00:28:11,359 --> 00:28:13,800
Speaker 2: comes to freedom of religion, and you see people like

616
00:28:13,880 --> 00:28:17,720
Speaker 2: Tim Walls say during the election, oh, free speech is

617
00:28:17,760 --> 00:28:21,399
Speaker 2: not absolute. Of course it is. Of course, it's absolute.

618
00:28:21,440 --> 00:28:23,800
Speaker 2: That's the point of America. Of course, me having the

619
00:28:23,800 --> 00:28:25,960
Speaker 2: ability to sit here and have a conversation with you, tutor,

620
00:28:26,160 --> 00:28:29,919
Speaker 2: is the foundational principle of this country. Because robust conversation

621
00:28:30,119 --> 00:28:33,159
Speaker 2: leads to everything else. And that's why America has been

622
00:28:33,200 --> 00:28:35,159
Speaker 2: able to fix itself on occasion over the last two

623
00:28:35,200 --> 00:28:38,280
Speaker 2: hundred and fifty years. Gab Or take when something's wrong.

624
00:28:38,600 --> 00:28:43,520
Speaker 2: We have robust, fierce conversations. Fierce conversation. Can you imagine

625
00:28:43,560 --> 00:28:45,320
Speaker 2: the Founders sitting there going, well, you can't say that

626
00:28:45,360 --> 00:28:48,280
Speaker 2: I'm offended? Well, and you didn't use my right pronouns.

627
00:28:48,320 --> 00:28:49,960
Speaker 3: I mean, really stay tuned.

628
00:28:49,960 --> 00:28:52,120
Speaker 1: We've got more coming up with Steve Gruber. But first

629
00:28:52,240 --> 00:28:55,280
Speaker 1: let me tell you about my partners at Saber. Protecting

630
00:28:55,320 --> 00:28:59,040
Speaker 1: our families and homes is essential, but are we truly prepared?

631
00:28:59,520 --> 00:29:02,560
Speaker 1: Break in are happening every twenty five seconds? I know

632
00:29:02,640 --> 00:29:05,680
Speaker 1: that's scary. And guys, even with a security system, you

633
00:29:05,720 --> 00:29:08,720
Speaker 1: have to ask yourself, can it really keep intruders out? Well?

634
00:29:08,800 --> 00:29:12,320
Speaker 1: You should layer your defenses. It'll buy yourself time. Start

635
00:29:12,360 --> 00:29:15,239
Speaker 1: with Saber driveway alerts to know when someone's approaching your

636
00:29:15,240 --> 00:29:18,160
Speaker 1: house and then pair that with floodlights and deter them.

637
00:29:18,160 --> 00:29:22,160
Speaker 1: With that, plus Sabers door security bars, they reinforce your

638
00:29:22,200 --> 00:29:24,959
Speaker 1: front and back doors, stopping up to six hundred and

639
00:29:25,040 --> 00:29:28,200
Speaker 1: fifty pounds of force to secure your entry points even

640
00:29:28,240 --> 00:29:29,840
Speaker 1: when you're not at home. And if you are at

641
00:29:29,880 --> 00:29:33,840
Speaker 1: home scary, but many invasions do happen at night, So

642
00:29:34,080 --> 00:29:37,680
Speaker 1: Sabers Home Defense Launcher is the ultimate choice to protect

643
00:29:37,680 --> 00:29:41,720
Speaker 1: yourself and your family. Saber projectiles hit hard, they cause

644
00:29:41,760 --> 00:29:44,720
Speaker 1: intense pain, and they can be effective even if you miss,

645
00:29:44,800 --> 00:29:47,800
Speaker 1: as intruders within six feet of the pepper cloud will

646
00:29:47,840 --> 00:29:52,480
Speaker 1: experience sensory irritation. Plus, Sabers Home Defense Launcher is the

647
00:29:52,520 --> 00:29:56,480
Speaker 1: only sixty eight caliber launcher with a seven projectile capacity,

648
00:29:56,720 --> 00:29:59,720
Speaker 1: offering up to forty percent more shots than others. Stay

649
00:30:00,120 --> 00:30:03,719
Speaker 1: here day or night with Saber Solutions Today, go out there.

650
00:30:03,840 --> 00:30:09,280
Speaker 1: Visit saberradio dot com. That is Sabre Radio dot com,

651
00:30:09,400 --> 00:30:12,040
Speaker 1: or you can call it's eight four four eight two

652
00:30:12,120 --> 00:30:16,360
Speaker 1: four Safe Today to protect what matters most. Now, stick around.

653
00:30:16,440 --> 00:30:21,680
Speaker 1: We've got more coming up after this. I want to

654
00:30:21,760 --> 00:30:24,200
Speaker 1: keep you just a few minutes longer because I want

655
00:30:24,240 --> 00:30:26,520
Speaker 1: to get into what you just said about the gun

656
00:30:26,600 --> 00:30:31,040
Speaker 1: rights situation. We just recently saw another school shooting. It's

657
00:30:31,320 --> 00:30:34,200
Speaker 1: totally devastating. I know how much your kids mean to you.

658
00:30:34,200 --> 00:30:36,800
Speaker 1: You know I feel the same. I think there are

659
00:30:36,920 --> 00:30:39,320
Speaker 1: very few parents that don't worry about it every day

660
00:30:39,360 --> 00:30:41,600
Speaker 1: when they send their kids to school, and I see.

661
00:30:42,120 --> 00:30:44,880
Speaker 1: I think Michigan is unique in the fact that in

662
00:30:44,920 --> 00:30:48,520
Speaker 1: this governor's term, we actually had two school shootings and

663
00:30:48,600 --> 00:30:52,960
Speaker 1: yet nothing has happened, and so I hear the calls

664
00:30:53,000 --> 00:30:55,840
Speaker 1: for gun control, and I hear what you're saying about

665
00:30:55,840 --> 00:30:59,800
Speaker 1: having empathy. However, it almost feels like that is a

666
00:30:59,800 --> 00:31:01,120
Speaker 1: shit shield to do nothing.

667
00:31:01,280 --> 00:31:04,120
Speaker 3: No, we can do better, Yes, we could do better.

668
00:31:04,360 --> 00:31:07,440
Speaker 1: This is again where Donald Trump will be totally different

669
00:31:07,440 --> 00:31:09,640
Speaker 1: than anybody else in the past, where he will bring

670
00:31:09,680 --> 00:31:13,120
Speaker 1: people together and sit down and say, look, stop the

671
00:31:13,160 --> 00:31:15,520
Speaker 1: conversation about we don't want our schools to look like

672
00:31:15,800 --> 00:31:18,680
Speaker 1: they are walking into a prison, that they're overly protected

673
00:31:19,040 --> 00:31:21,320
Speaker 1: at the end of the day. We need a solution

674
00:31:21,600 --> 00:31:23,560
Speaker 1: to make sure that kids go to school and come

675
00:31:23,560 --> 00:31:25,520
Speaker 1: home at the end of the day, and that if

676
00:31:25,560 --> 00:31:27,920
Speaker 1: part of that solution is that you have security there.

677
00:31:28,040 --> 00:31:30,200
Speaker 1: We need to be open to the conversation. The fact

678
00:31:30,200 --> 00:31:32,560
Speaker 1: that the conversation has to be shut down every time

679
00:31:32,880 --> 00:31:35,840
Speaker 1: because it's one way or no way for the Democrats

680
00:31:36,040 --> 00:31:36,800
Speaker 1: is belooney.

681
00:31:37,440 --> 00:31:39,080
Speaker 2: I agree with you, and let me give you some

682
00:31:39,120 --> 00:31:42,880
Speaker 2: examples of everything you just said is exactly right. The

683
00:31:42,920 --> 00:31:45,600
Speaker 2: police chief in Madison, Wisconsin, after they're shooting at the

684
00:31:45,680 --> 00:31:48,760
Speaker 2: Christian school was asked about metal detectors. No, we don't

685
00:31:48,800 --> 00:31:51,240
Speaker 2: have metal detectors here. We shouldn't have metal detectors. We

686
00:31:51,240 --> 00:31:53,360
Speaker 2: shouldn't have metal detectors in schools. Schools should be a

687
00:31:53,400 --> 00:31:55,960
Speaker 2: safe place. Well, I agree with his sentiment. Schools should

688
00:31:56,000 --> 00:31:57,840
Speaker 2: be a safe place. They've proven over.

689
00:31:57,720 --> 00:32:00,920
Speaker 3: The last twenty five years they're not all right.

690
00:32:00,960 --> 00:32:03,760
Speaker 2: They've proven that since nineteen eighty nine in what happened

691
00:32:03,760 --> 00:32:06,680
Speaker 2: in Colorado. So here are some solutions. First of all,

692
00:32:06,680 --> 00:32:09,320
Speaker 2: there's about a trillion dollars in unspent COVID money floating

693
00:32:09,320 --> 00:32:11,440
Speaker 2: around out there. A trillion dollars, and so what are

694
00:32:11,480 --> 00:32:14,040
Speaker 2: these governments doing pushing real hard to spend the money.

695
00:32:13,840 --> 00:32:16,800
Speaker 3: As fast as possible. Here's an idea. Take that trillion

696
00:32:16,800 --> 00:32:17,880
Speaker 3: dollars and spend it on the kids.

697
00:32:17,880 --> 00:32:20,040
Speaker 2: How do you do that? Special resource officers. There's about

698
00:32:20,040 --> 00:32:24,320
Speaker 2: eighty thousand schools in America. I believe about eighty thousand schools.

699
00:32:25,000 --> 00:32:28,440
Speaker 2: Put a new resource officer in every single school. Special

700
00:32:28,440 --> 00:32:31,120
Speaker 2: resource officer in eighty thousand schools pay one hundred grand

701
00:32:31,120 --> 00:32:35,440
Speaker 2: a yearor whatever the local wages pay them. Secondly, you

702
00:32:35,480 --> 00:32:38,480
Speaker 2: can have AI AI. There's these great new devices from

703
00:32:38,520 --> 00:32:41,640
Speaker 2: AI where the kids can be scanned as they're walking

704
00:32:41,680 --> 00:32:44,400
Speaker 2: into schools. They're fling into school that will detect and

705
00:32:44,480 --> 00:32:46,200
Speaker 2: pinpoint all that looks like a weapon.

706
00:32:46,280 --> 00:32:48,560
Speaker 3: Check that kid, right, it looks like a weapon in

707
00:32:48,600 --> 00:32:49,800
Speaker 3: that backpack. Check that backpack.

708
00:32:49,840 --> 00:32:52,440
Speaker 2: There are non invasive ways to find out if there's

709
00:32:52,480 --> 00:32:55,040
Speaker 2: weapons coming into your school. And here's another point, tutor.

710
00:32:55,600 --> 00:32:59,080
Speaker 2: Detroit Public Schools, as an easy example, has its own

711
00:32:59,080 --> 00:33:02,760
Speaker 2: police department. Going into Detroit Public schools, you see police

712
00:33:02,800 --> 00:33:03,719
Speaker 2: officers in the halls.

713
00:33:03,920 --> 00:33:06,000
Speaker 3: Same thing in Cleveland and New York and.

714
00:33:06,000 --> 00:33:08,120
Speaker 2: Miami and all over this country and any big city,

715
00:33:08,160 --> 00:33:12,280
Speaker 2: any big city, high school, middle school, elementary school has officers.

716
00:33:12,560 --> 00:33:15,000
Speaker 2: How many school shootings have been at all those places.

717
00:33:15,800 --> 00:33:16,040
Speaker 3: Zero.

718
00:33:16,840 --> 00:33:18,680
Speaker 2: There's not going to be a mass public shooting in

719
00:33:18,720 --> 00:33:20,560
Speaker 2: Detroit Public schools today because they.

720
00:33:20,480 --> 00:33:22,920
Speaker 3: All have police officers on campus. That's number one.

721
00:33:23,000 --> 00:33:26,480
Speaker 2: Number two, there are other schools in this country that

722
00:33:26,600 --> 00:33:29,520
Speaker 2: allow the faculty and staff to carry conceal people that

723
00:33:29,560 --> 00:33:31,120
Speaker 2: want to do it. Don't force anybody to do it,

724
00:33:31,160 --> 00:33:33,240
Speaker 2: but people that have concealed kerry permits some places like

725
00:33:33,640 --> 00:33:37,360
Speaker 2: Texas or Tennessee or Kentucky or Michigan can carry if

726
00:33:37,440 --> 00:33:39,520
Speaker 2: they're so incline and they get the blessing.

727
00:33:39,160 --> 00:33:40,040
Speaker 3: Of the school district.

728
00:33:40,120 --> 00:33:44,160
Speaker 2: There has never been a school shooting at any school

729
00:33:44,160 --> 00:33:47,000
Speaker 2: in America where the faculty and staff are allowed to

730
00:33:47,000 --> 00:33:49,360
Speaker 2: carry conceal That not only that, there's not overmund single

731
00:33:49,400 --> 00:33:52,960
Speaker 2: shooting of any kind at any school in America where

732
00:33:52,960 --> 00:33:55,760
Speaker 2: the faculty or staff are allowed to carry concealed.

733
00:33:55,520 --> 00:33:57,120
Speaker 3: That's a mathematical fact.

734
00:33:57,480 --> 00:33:59,600
Speaker 2: So for Democrats to sit there and tell me, well,

735
00:33:59,640 --> 00:34:01,320
Speaker 2: we can't anything about there are plenty of things we

736
00:34:01,320 --> 00:34:04,560
Speaker 2: can do, special resource officers, concealed carry for staff and

737
00:34:04,600 --> 00:34:07,200
Speaker 2: faculty that want to do it, and pass whatever background

738
00:34:07,280 --> 00:34:09,000
Speaker 2: checks and requirements we put in front of them.

739
00:34:09,040 --> 00:34:11,200
Speaker 3: Okay, fine, but the fact of the matter is we

740
00:34:11,280 --> 00:34:12,040
Speaker 3: can do better.

741
00:34:12,520 --> 00:34:15,359
Speaker 2: We don't have to send our kids into into you know,

742
00:34:15,480 --> 00:34:18,600
Speaker 2: no gun zones, which are you know, free shooting zones. Oftentimes,

743
00:34:18,920 --> 00:34:20,719
Speaker 2: you know, a gun free zone turns out to be

744
00:34:20,760 --> 00:34:23,759
Speaker 2: a deadly place because they know that they're not going

745
00:34:23,760 --> 00:34:24,239
Speaker 2: to get shot.

746
00:34:24,440 --> 00:34:25,440
Speaker 3: And we see this.

747
00:34:25,560 --> 00:34:28,960
Speaker 2: And by the way, I am sick and tired of

748
00:34:29,000 --> 00:34:32,239
Speaker 2: these manifestos. I don't care about your manifesto. You wouldn't shot.

749
00:34:32,400 --> 00:34:35,399
Speaker 1: P's just making people want to do it. Like, it's

750
00:34:35,440 --> 00:34:37,839
Speaker 1: interesting that you bring that up, because I don't think

751
00:34:37,840 --> 00:34:39,719
Speaker 1: that we had really considered the fact that when you

752
00:34:39,760 --> 00:34:42,719
Speaker 1: glorify the manifesto. Then you have the copycat who wants

753
00:34:42,760 --> 00:34:44,799
Speaker 1: to also have their manifesto out there.

754
00:34:45,200 --> 00:34:49,239
Speaker 2: You know, I don't care about Ted Kazinski's manifesto, the

755
00:34:49,360 --> 00:34:52,960
Speaker 2: unibomber and every manifesto said, I don't care what you think.

756
00:34:52,960 --> 00:34:55,359
Speaker 2: You went and shot children. What you have to say

757
00:34:55,360 --> 00:34:57,880
Speaker 2: about anything in the world is completely irrelevant. You shot

758
00:34:58,120 --> 00:35:01,719
Speaker 2: an executive in the back on the streets of Manhattan.

759
00:35:01,880 --> 00:35:03,960
Speaker 3: I have nothing to learn from you. Nothing.

760
00:35:04,239 --> 00:35:08,160
Speaker 1: I'd rather see your toxicology report than your manifesto bingo.

761
00:35:08,120 --> 00:35:08,880
Speaker 3: What drugs you on?

762
00:35:09,400 --> 00:35:12,239
Speaker 2: Which brings us back to the shooting in Wisconsin. There's

763
00:35:12,239 --> 00:35:17,560
Speaker 2: some question about the police that wouldn't say boy girl,

764
00:35:17,719 --> 00:35:20,239
Speaker 2: oh you know they waited twenty fours. We can't tell

765
00:35:20,239 --> 00:35:23,680
Speaker 2: you the gender of the individual. Really, too much of

766
00:35:23,680 --> 00:35:25,799
Speaker 2: that going on, too too much of that going on.

767
00:35:25,880 --> 00:35:28,480
Speaker 1: And I think that goes to what are these And

768
00:35:28,520 --> 00:35:30,440
Speaker 1: I think that's something RFK will get to. What are

769
00:35:30,480 --> 00:35:34,200
Speaker 1: these medications? Are kiss over medicated? What are the medications doing?

770
00:35:34,440 --> 00:35:36,399
Speaker 1: But you've brought up an interesting point. So you brought

771
00:35:36,480 --> 00:35:38,560
Speaker 1: up the point of kids can come in and get scanned.

772
00:35:38,600 --> 00:35:41,440
Speaker 1: So I went to WESCO this morning and I could

773
00:35:41,480 --> 00:35:44,400
Speaker 1: literally just put all of my food on the counter,

774
00:35:44,760 --> 00:35:47,400
Speaker 1: and it told me how much it was. Nobody told me.

775
00:35:47,560 --> 00:35:50,480
Speaker 1: The computer told me. It looked at it, it saw it,

776
00:35:50,480 --> 00:35:52,920
Speaker 1: it calculates it. I pay. There doesn't have to be

777
00:35:52,920 --> 00:35:55,880
Speaker 1: anybody there. But my point is a lot of parents

778
00:35:55,920 --> 00:35:57,720
Speaker 1: will say to me, I don't want my kids walking

779
00:35:57,760 --> 00:36:00,480
Speaker 1: through that because I want them to have privacy. I

780
00:36:00,480 --> 00:36:02,800
Speaker 1: think that there's a negotiation there. You want them alive

781
00:36:03,120 --> 00:36:05,439
Speaker 1: and how much privacy do you need your kid under

782
00:36:05,440 --> 00:36:07,640
Speaker 1: eighteen to have in their backpack. I hope they don't

783
00:36:07,640 --> 00:36:09,759
Speaker 1: have anything you don't want the school to.

784
00:36:09,760 --> 00:36:11,680
Speaker 2: Know about, right, I want them to have a future.

785
00:36:11,760 --> 00:36:14,200
Speaker 2: Privacy is fine, but a future is probably more important.

786
00:36:14,239 --> 00:36:17,080
Speaker 2: Now having said that, I'm not willing to give up

787
00:36:17,080 --> 00:36:20,000
Speaker 2: all privacy and all liberty and all that, but for

788
00:36:20,080 --> 00:36:23,799
Speaker 2: kids at school that have obviously become a target for

789
00:36:23,920 --> 00:36:28,680
Speaker 2: these deranged killers, for these monsters to attack, we need

790
00:36:28,719 --> 00:36:31,440
Speaker 2: to do something, and we can do better. Concealed carry

791
00:36:31,560 --> 00:36:34,680
Speaker 2: Social Resource officers AI. There's a variety of things that

792
00:36:34,680 --> 00:36:36,400
Speaker 2: can be done to make the schools safer, and we

793
00:36:36,480 --> 00:36:38,040
Speaker 2: have the resources right.

794
00:36:37,920 --> 00:36:39,839
Speaker 3: Now to do it if we don't squander it on.

795
00:36:39,800 --> 00:36:43,080
Speaker 2: Silly things like swimming pools and football fields. You can

796
00:36:43,160 --> 00:36:45,200
Speaker 2: have those things later. Let's make sure the schools are

797
00:36:45,239 --> 00:36:48,960
Speaker 2: safe first. Cricket field cricket field, yeah, I don't need

798
00:36:49,000 --> 00:36:52,239
Speaker 2: any of that stuff, soccer pitch, don't need that. What

799
00:36:52,280 --> 00:36:54,279
Speaker 2: we need is to make sure that all of our

800
00:36:54,360 --> 00:36:56,600
Speaker 2: kids are protected. And that's in public and private schools.

801
00:36:56,640 --> 00:36:58,399
Speaker 2: By the way, a lot of private schools already have.

802
00:37:00,000 --> 00:37:00,520
Speaker 3: Already. Look.

803
00:37:01,040 --> 00:37:02,799
Speaker 2: I go to a big church not far from my house.

804
00:37:02,840 --> 00:37:05,080
Speaker 2: On occasion, there's a couple people at the front door.

805
00:37:05,239 --> 00:37:09,480
Speaker 3: I know they're armed. I don't do I do you

806
00:37:09,520 --> 00:37:10,799
Speaker 3: know temple of bill.

807
00:37:10,920 --> 00:37:15,399
Speaker 1: Wasn't there recently a bill from the legislature where they're

808
00:37:15,400 --> 00:37:18,000
Speaker 1: trying to say you can't take firearms into a church.

809
00:37:18,120 --> 00:37:22,200
Speaker 1: There's I swear they were. There was something crazy about that.

810
00:37:22,520 --> 00:37:24,919
Speaker 1: As the pastor, how he feels, I mean, when you're

811
00:37:24,960 --> 00:37:27,120
Speaker 1: the target, you might feel a little bit differently. But

812
00:37:27,400 --> 00:37:29,719
Speaker 1: there's just too much government control. I think Doze is

813
00:37:29,800 --> 00:37:31,319
Speaker 1: very interesting. I mean, we could go on and on,

814
00:37:31,360 --> 00:37:33,560
Speaker 1: because I do think that there needs to be a

815
00:37:33,680 --> 00:37:36,960
Speaker 1: Doge in every state. You talked about all the money spent.

816
00:37:37,360 --> 00:37:40,000
Speaker 1: We have spent a massive amount of money on special

817
00:37:40,040 --> 00:37:44,840
Speaker 1: interests and donors projects, and not ended up with secure schools.

818
00:37:44,960 --> 00:37:47,239
Speaker 1: We cut the school budget, we cut money from the

819
00:37:47,280 --> 00:37:49,600
Speaker 1: teacher's pension. I mean, this year has been a total

820
00:37:49,640 --> 00:37:52,200
Speaker 1: disaster for Michigan when it comes to students and teachers.

821
00:37:52,280 --> 00:37:53,239
Speaker 1: We got to get back from that.

822
00:37:53,320 --> 00:37:55,600
Speaker 3: I just saw this story. He probably saw it too.

823
00:37:56,600 --> 00:37:59,680
Speaker 2: Percent of the teachers in Michigan are graded as being

824
00:38:00,239 --> 00:38:03,880
Speaker 2: excellent or whatever. The two top rankings are nine nine

825
00:38:03,880 --> 00:38:05,759
Speaker 2: percent of they're great teachers, and you have forty percent

826
00:38:05,800 --> 00:38:08,120
Speaker 2: of our third graders can't read. How come we have

827
00:38:08,200 --> 00:38:10,160
Speaker 2: ninety nine percent of the teachers, you know, at the

828
00:38:10,200 --> 00:38:13,640
Speaker 2: top of the scale for excellence in the classroom and

829
00:38:13,719 --> 00:38:15,759
Speaker 2: forty percent of our kids can't read. And it gets worse,

830
00:38:15,800 --> 00:38:17,960
Speaker 2: as you can imagine when you go to certain districts,

831
00:38:17,960 --> 00:38:21,000
Speaker 2: and yet the teachers are great, apparently all of them well.

832
00:38:21,040 --> 00:38:23,480
Speaker 1: And they just said that charter schools have to come

833
00:38:23,480 --> 00:38:26,560
Speaker 1: out and expose how they're spending all of their money.

834
00:38:26,640 --> 00:38:28,160
Speaker 1: You know what I'd like to see. I'd like to

835
00:38:28,160 --> 00:38:31,160
Speaker 1: see the charter schools that have great reading scores expose

836
00:38:31,239 --> 00:38:32,759
Speaker 1: how they taught them how to read, so that we

837
00:38:32,800 --> 00:38:35,200
Speaker 1: can take that to the public public schools. Because I

838
00:38:35,320 --> 00:38:37,760
Speaker 1: want every teacher to have a great score. I want

839
00:38:37,760 --> 00:38:39,840
Speaker 1: that to be the case. I'm a public school student.

840
00:38:40,000 --> 00:38:41,799
Speaker 1: I want all of these kids to have a chance,

841
00:38:41,840 --> 00:38:44,480
Speaker 1: because the minute a kid gets to fourth grade without

842
00:38:44,480 --> 00:38:47,160
Speaker 1: being able to read, you have sealed their future and

843
00:38:47,200 --> 00:38:49,799
Speaker 1: it's not good. And yet we don't talk about that.

844
00:38:50,120 --> 00:38:52,200
Speaker 2: Yeah, my mother was a fifth grade school teacher for

845
00:38:52,320 --> 00:38:53,799
Speaker 2: thirty two years something like that.

846
00:38:54,120 --> 00:38:55,600
Speaker 3: In the summers. I've told people this story.

847
00:38:55,760 --> 00:38:58,719
Speaker 2: During the summer vacation, I would come down from my

848
00:38:58,800 --> 00:39:02,040
Speaker 2: bedroom and I'd often find some kid in my house.

849
00:39:02,160 --> 00:39:04,040
Speaker 2: My mother was sitting there, some kid I didn't know,

850
00:39:04,320 --> 00:39:05,880
Speaker 2: and she'd be sitting there teaching them to read. You

851
00:39:05,880 --> 00:39:07,239
Speaker 2: guy said, why do you do that? Because she said,

852
00:39:07,239 --> 00:39:08,919
Speaker 2: if I could teach this kid to read, I'll save

853
00:39:09,000 --> 00:39:11,640
Speaker 2: their life. And she was right true, And that's how

854
00:39:11,800 --> 00:39:13,880
Speaker 2: she never charged anybody for it. She taught fifth grade.

855
00:39:13,920 --> 00:39:16,200
Speaker 2: Literacy was her big driving for us, and so for me,

856
00:39:16,239 --> 00:39:18,319
Speaker 2: it's always been a cornerstone of my life as well.

857
00:39:18,360 --> 00:39:20,319
Speaker 2: So when I see that forty percent of the third

858
00:39:20,320 --> 00:39:23,000
Speaker 2: graders in Michigan can't read, I'm like, how is that possible?

859
00:39:23,080 --> 00:39:26,160
Speaker 2: And worse, how do we give all these teachers an

860
00:39:26,200 --> 00:39:29,880
Speaker 2: a when of the kids are failing. That means you

861
00:39:29,920 --> 00:39:32,319
Speaker 2: only have sixty percent, which means you're basically on the

862
00:39:32,440 --> 00:39:35,560
Speaker 2: on the cousp of an f right, it's sixty percent success, right,

863
00:39:35,600 --> 00:39:38,640
Speaker 2: You're you're you're failing, and you're failing our kids, and

864
00:39:38,640 --> 00:39:40,640
Speaker 2: you're failing the next generation. How are these people going

865
00:39:40,680 --> 00:39:42,840
Speaker 2: to have jobs or be productive, or have families or

866
00:39:42,880 --> 00:39:45,440
Speaker 2: have happiness or any of that if they can't go

867
00:39:45,520 --> 00:39:48,520
Speaker 2: out and have a job and be successful.

868
00:39:48,560 --> 00:39:51,959
Speaker 3: I mean, what happens. It becomes an ease in jail.

869
00:39:52,080 --> 00:39:55,000
Speaker 1: That's what I mean. It's a known quantity. We know

870
00:39:55,040 --> 00:39:57,040
Speaker 1: what happens. If you can't read, you go to jail.

871
00:39:57,040 --> 00:39:59,640
Speaker 1: But Gretchen Wimmer's feeding the rich kids lunch. So that's good.

872
00:40:00,000 --> 00:40:02,839
Speaker 1: At least we've got that. I mean, that's her big

873
00:40:02,920 --> 00:40:05,359
Speaker 1: that's she blasts out out every day. I'm like, how

874
00:40:05,360 --> 00:40:07,120
Speaker 1: about we teach kids to read and we feed the

875
00:40:07,160 --> 00:40:09,600
Speaker 1: kids lunch who can't afford lunch. Maybe we take the

876
00:40:09,680 --> 00:40:11,839
Speaker 1: money for the people that need the money, We get

877
00:40:11,840 --> 00:40:14,359
Speaker 1: it to the resources, to the right place. That's just

878
00:40:14,360 --> 00:40:17,320
Speaker 1: not how they think we could. Honestly, we should do

879
00:40:17,360 --> 00:40:19,680
Speaker 1: a show together sometime. I mean, we're really good at this,

880
00:40:19,800 --> 00:40:20,600
Speaker 1: pretty good idea.

881
00:40:20,760 --> 00:40:22,799
Speaker 3: I like that idea. You can invite me anytime you want.

882
00:40:22,800 --> 00:40:24,440
Speaker 2: I'll sit here and Shay, I mean you and I

883
00:40:24,520 --> 00:40:26,719
Speaker 2: we've worked together for what two three years, whatever it was,

884
00:40:27,640 --> 00:40:29,480
Speaker 2: And like I said, we sat there together in January

885
00:40:29,520 --> 00:40:32,680
Speaker 2: the sixth, you and I taking that in like drinking

886
00:40:32,719 --> 00:40:36,200
Speaker 2: from a fire hose, trying to keep track of everything.

887
00:40:36,520 --> 00:40:37,840
Speaker 3: And so we've seen how it works.

888
00:40:38,160 --> 00:40:40,280
Speaker 2: You know how it works is somebody running for office

889
00:40:40,320 --> 00:40:42,200
Speaker 2: at a high level, because running for governor's running for

890
00:40:42,239 --> 00:40:45,120
Speaker 2: office at a high level. We've been in to see

891
00:40:45,160 --> 00:40:47,719
Speaker 2: Donald Trump. I've been in the Oval office, We've been places,

892
00:40:48,080 --> 00:40:50,279
Speaker 2: and there's a lot to share with people. But I

893
00:40:50,280 --> 00:40:51,839
Speaker 2: think it all goes back to being honest. I think

894
00:40:51,880 --> 00:40:54,560
Speaker 2: that's why Donald Trump's working right now, because people see

895
00:40:54,640 --> 00:40:56,879
Speaker 2: him as the genuine article and we can have real

896
00:40:56,880 --> 00:41:00,000
Speaker 2: conversations here about protecting children, or closing the border, or

897
00:41:00,040 --> 00:41:04,000
Speaker 2: fixing the economy or any of it right, because these

898
00:41:04,000 --> 00:41:06,279
Speaker 2: are all conversations we have to have because I think

899
00:41:06,320 --> 00:41:09,040
Speaker 2: for the last four years, our priorities have been completely

900
00:41:09,080 --> 00:41:11,640
Speaker 2: out of whack. You know, when we're worried about whether

901
00:41:11,680 --> 00:41:14,319
Speaker 2: a boy can run the girl's track team and whether

902
00:41:14,400 --> 00:41:16,319
Speaker 2: or not we should allow one hundred thousand people in

903
00:41:16,320 --> 00:41:17,920
Speaker 2: this month or two hundred thousand, and we're not going

904
00:41:17,960 --> 00:41:19,279
Speaker 2: to vet them. We're just gonna give a little app

905
00:41:19,280 --> 00:41:20,960
Speaker 2: on their phone and then three thousand dollars on their

906
00:41:21,040 --> 00:41:21,640
Speaker 2: debit card.

907
00:41:22,040 --> 00:41:24,640
Speaker 3: Something might be wrong with our priority. And I am,

908
00:41:24,840 --> 00:41:26,000
Speaker 3: I am.

909
00:41:26,320 --> 00:41:30,080
Speaker 2: I pray to God that Donald Trump stays the course.

910
00:41:30,239 --> 00:41:32,919
Speaker 2: I think he's going to. I feel very optimistic right now,

911
00:41:33,040 --> 00:41:36,640
Speaker 2: very very optimistic about what's going to happen come January

912
00:41:36,960 --> 00:41:39,440
Speaker 2: and for the next four years. And I hope we

913
00:41:39,480 --> 00:41:43,000
Speaker 2: stay this course because America needs it. Everybody needs it.

914
00:41:43,440 --> 00:41:46,320
Speaker 2: And look, the world needs America and they need a

915
00:41:46,360 --> 00:41:48,480
Speaker 2: strong America. And that's why Donald Trump is so wonderful.

916
00:41:48,840 --> 00:41:51,239
Speaker 1: Yeah, and that's why we saw at the Notre Dame

917
00:41:51,320 --> 00:41:53,959
Speaker 1: all of the people coming to shake his hand. I mean, gosh,

918
00:41:54,040 --> 00:41:56,239
Speaker 1: even Jilly was looking at him with the love eyes,

919
00:41:56,280 --> 00:41:57,480
Speaker 1: so I think.

920
00:41:57,640 --> 00:42:00,920
Speaker 3: She gave him the googly eyes give the googly guys.

921
00:42:01,160 --> 00:42:02,880
Speaker 2: I think I think Justin Trudeau looked at him with

922
00:42:02,880 --> 00:42:06,200
Speaker 2: complete terror when he walked into Marrow Lago. Justin Trudeau,

923
00:42:06,400 --> 00:42:08,080
Speaker 2: I've been told about the terrist apparent. I don't know

924
00:42:08,120 --> 00:42:10,040
Speaker 2: if he's going to make it through the next couple

925
00:42:10,040 --> 00:42:12,080
Speaker 2: of days up there north of the border. His did

926
00:42:12,120 --> 00:42:15,720
Speaker 2: you know his approval ranger twenty six percent, No surprise,

927
00:42:15,880 --> 00:42:17,000
Speaker 2: twenty six percent.

928
00:42:17,040 --> 00:42:18,960
Speaker 3: A Michigan man will be the ambassador up there for

929
00:42:19,000 --> 00:42:19,520
Speaker 3: the new.

930
00:42:19,960 --> 00:42:23,200
Speaker 1: Yes, that's right, that's right. That'll be fascinating for us.

931
00:42:23,239 --> 00:42:26,200
Speaker 1: We'll have to keep reporting on it. Thank you Michigan

932
00:42:26,239 --> 00:42:29,000
Speaker 1: man for coming on today. Steve Gruber, always a pleasure

933
00:42:29,200 --> 00:42:32,200
Speaker 1: chatting and I would love to have you back Tutor anytime.

934
00:42:32,320 --> 00:42:33,440
Speaker 3: Nice seeing you, my friend.

935
00:42:33,880 --> 00:42:36,440
Speaker 1: Have a merry Christmas, you too, and all of you.

936
00:42:36,880 --> 00:42:39,320
Speaker 1: Thank you for joining us on the Tutor Dixon Podcast.

937
00:42:39,360 --> 00:42:42,759
Speaker 1: For this episode and others, go to Tutor dixonpodcast dot com.

938
00:42:42,760 --> 00:42:46,320
Speaker 1: You can subscribe right there, or the iHeartRadio app, Apple Podcasts,

939
00:42:46,400 --> 00:42:49,040
Speaker 1: or wherever you get your podcasts. And have a blessing.