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Speaker 1: Hey, everybody, welcome to another episode of the Buck Sexton Show.

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Speaker 1: I have Tutor Dixon with me now. Not only does

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Speaker 1: she have the coolest name that I've heard in a

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Speaker 1: long time, and my name is Buck Sexton, so I

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Speaker 1: feel like I know something about at least unusual names.

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Speaker 1: Her name is just straight up cool. She ran for

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Speaker 1: governor of Michigan came really close to defeating the wicked

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Speaker 1: Witch of Michigan, Gretchen Whitmer, which would have been amazing.

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Speaker 1: I is a mom, is an American patriot wife, commentator,

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Speaker 1: soon to be podcaster, Michigander. Tutor Dixon, great to have

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Speaker 1: you on. Thank you. I'm happy to be here. So

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Speaker 1: how do you decide it? I would like to start

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Speaker 1: with the origin story. You know, it's almost like a

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Speaker 1: comic book. How do you decide to get into this game?

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Speaker 1: I mean, you know, I was rooting for you so

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Speaker 1: much because I was a New York Erd in the

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Speaker 1: pandemic and Michigan was one of the only places where

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Speaker 1: I didn't expect the lockdowns to get as crazy as

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Speaker 1: it got, if that makes sense New York LA DC, Sure, Michigan,

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Speaker 1: is that what happened? Right? Yes? So we were watching

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Speaker 1: this happen, and the origin story kind of goes back

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Speaker 1: far because my origin story in Michigan starts in a

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Speaker 1: steel foundry. So I spent most of my career in

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Speaker 1: the steel foundry on the shop floor, working the product through,

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Speaker 1: helping make sure we get it on time to our customers.

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Speaker 1: And then in twenty seventeen, I had a friend come

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Speaker 1: to me and say, I don't know if you know

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Speaker 1: what's happening in our schools, but it's really kind of

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Speaker 1: this anti American message, and I want to provide a

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Speaker 1: news service for middle and high school students that would

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Speaker 1: be pro America but also talk about jobs. And that

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Speaker 1: was near and dear to my heart because it was

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Speaker 1: really hard for us to find people to come and

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Speaker 1: work in the shop. And I thought, this is great.

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Speaker 1: This is an opportunity to introduce young people to manufacturing,

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Speaker 1: and I think that's lost on a lot of young

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Speaker 1: people these days. But then as we expanded that, we

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Speaker 1: grew into conservative media, into the political world, and then

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Speaker 1: twenty twenty came and I saw factory shut down, I

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Speaker 1: saw people out of work, I saw our communities really

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Speaker 1: falling apart, and I saw my own kids, my own

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Speaker 1: kids at home, they're not at school. My ten year

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Speaker 1: old at one point looked at me and she goes, mom,

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Speaker 1: I was putting in her bed and she started crying,

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Speaker 1: and I said, why are you crying, honey? And I

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Speaker 1: think as adults, we started to forget that our kids

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Speaker 1: were home for so long without ever leaving the house.

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Speaker 1: They weren't even allowed to go to the grocery store

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Speaker 1: with us. And she looked at me and she said,

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Speaker 1: I think this is what it feels like to be depressed.

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Speaker 1: And that was sort of that crowning blow where I said,

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Speaker 1: we've got to do something and talked to some friends

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Speaker 1: and we thought who's going to run? Who is going

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Speaker 1: to run for governor in Michigan? And we talked to

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Speaker 1: folks in Lancing. There wasn't that traditional politician type person

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Speaker 1: stepping up to do it. And I had this crazy

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Speaker 1: moment where I was like, how surely hard could it

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Speaker 1: be to run for governor? And it turns out it's

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Speaker 1: kind of hard. Tell me, actually, I want to get

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Speaker 1: back to the running for governor thing in a second.

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Speaker 1: I'm just curious about that. Again, as somebody who wasn't

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Speaker 1: in politics, you just decided to run for governor in

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Speaker 1: a serious, a serious state. You know, it's not like

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Speaker 1: the governor of Rhode Island. Let's be honest, you know

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Speaker 1: what I mean. I mean, you know, no offense or

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Speaker 1: Rhode Island. But come on. But but you know, you know,

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Speaker 1: I'm just saying, Michigan's got a lot of people. So, uh,

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Speaker 1: the steel foundry. You when someone sees you, I don't

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Speaker 1: think they're thinking, this is somebody who was on this

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Speaker 1: on the floor of the steel foundry. Um, what is that? Like?

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Speaker 1: How is the American steel industry doing. I'm always curious

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Speaker 1: about about that. I wonder, you know, we were the

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Speaker 1: best in the world. Are we still the best in

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Speaker 1: the world? And tell me about the steel Well, I

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Speaker 1: think this is a really interesting because the steel industry, well,

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Speaker 1: I come from the foundry industry. So what we're doing

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Speaker 1: is we're pouring molten metal into a sand mold in

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Speaker 1: making a product for someone like a Caterpillar or a

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Speaker 1: John Deer. So we did a lot of mining mill terry,

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Speaker 1: heavy equipment, farm equipment, things like that, but you're making

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Speaker 1: pieces for someone else. And this was something that over

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Speaker 1: the Obama years really saw a lot going to China

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Speaker 1: and China was really taking over that space, and they

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Speaker 1: really have. There's not that many steel foundries left in

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Speaker 1: the United States, and it's such a crucial part of

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Speaker 1: what we do because, as I said, it's in all

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Speaker 1: of your farm equipment. I mean, this is what your

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Speaker 1: vehicles are made out of. This is what your military

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Speaker 1: vehicles were made up. We made quite a few parts

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Speaker 1: for the MRAP vehicles at that time, and you just

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Speaker 1: think about the idea of these things coming over from China. Now,

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Speaker 1: a lot of our military equipment has a ninety percent

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Speaker 1: or eighty percent by America clause, but you still have

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Speaker 1: a portion of that that can come from another country.

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Speaker 1: And so I know you hear people on our side

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Speaker 1: of the aisle talking about America First quite a bit.

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Speaker 1: So I think America First is something that we have

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Speaker 1: to break into a few different categories when we look

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Speaker 1: at America First, because coming from the steel industry, I

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Speaker 1: knew what it was like. I watched our patterns, our

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Speaker 1: parts go overseas bit by bit by bit until our

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Speaker 1: foundry closed and many other foundries closed. So I think

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Speaker 1: when we think about America First, we really need to

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Speaker 1: think about how much do we feel comfortable having in China,

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Speaker 1: and then how much of that do we need to

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Speaker 1: bring back to the United States. But some that question,

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Speaker 1: real quick, tutor, how do we bring it back? Is

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Speaker 1: it just because the labor in China is obviously a

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Speaker 1: lot cheaper? Do we have advantages either technologically or just

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Speaker 1: do we just make a better product here? How do

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Speaker 1: we bring it back here? Is a tariff something that's

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Speaker 1: That's what I was going to say. A lot of

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Speaker 1: people don't understand that it's some of these parts. Once

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Speaker 1: you close the factories, these factories don't start up again,

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Speaker 1: and there aren't a lot of people out there that

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Speaker 1: are saying, what should I do? Why don't I start

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Speaker 1: up a steel foundry. They're very hard to start up,

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Speaker 1: and it's very hard to operate. There's not a whole

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Speaker 1: lot of knowledge of how to do it yet left

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Speaker 1: in the United States. So certain trades are really being

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Speaker 1: lost completely to the United States. So in that case,

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Speaker 1: I would say, well, how do we find a friendly

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Speaker 1: country to make sure we're outsourcing to a friendly country,

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Speaker 1: and then if we can, over time bring that back.

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Speaker 1: I would love to see those jobs come back, but

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Speaker 1: I want to be realistic too and say there are

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Speaker 1: certain technologies that we do really well, and there are

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Speaker 1: certain technologies that are a lost art in the United

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Speaker 1: States that we need to find an allied country rather

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Speaker 1: than an adversarial country to do business in. And I

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Speaker 1: know that's an unpopular view, but I'm coming from a

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Speaker 1: place of really having seen it been on the shop floor,

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Speaker 1: and I know we have great steel foundries here. As

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Speaker 1: much business as we can put on them, we should,

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Speaker 1: But in the cases where you just can't find a source,

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Speaker 1: you need to go to an allied country. That's so

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Speaker 1: important that we start talking about that relationship with our

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Speaker 1: allies and making sure that's secure. If you think the

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Speaker 1: United States sent one hundred and fifty billion dollars worth

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Speaker 1: of product to China last year, China sent five hundred

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Speaker 1: and sixty billion dollars worth of product to the United States.

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Speaker 1: So although they are very reliant on us to be

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Speaker 1: their biggest buyer, we are also very reliant on them

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Speaker 1: for our pharmaceuticals, for our steel, for almost every product

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Speaker 1: there's a piece of it in China. When you think

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Speaker 1: about five hundred and sixty billion dollars worth of imports.

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Speaker 1: I was just talking to General Mattis over the weekend

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Speaker 1: and I said, so, don't you think that that seems like, well,

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Speaker 1: China doesn't really want to attack us if we are

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Speaker 1: their biggest customer. And he said, but you're thinking from

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Speaker 1: a logical standpoint. You're thinking from a logical point of view,

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Speaker 1: and that's not necessarily how you have to think when

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Speaker 1: you're talking about countries like that, which I think is

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Speaker 1: something we have to remember, and that's something that goes

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Speaker 1: beyond government, that goes to the private sector, because you know,

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Speaker 1: and I know that the majority of these companies our

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Speaker 1: private sector. This isn't our military equipment, this isn't all government,

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Speaker 1: this is private sector. So when you think about not

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Speaker 1: having pharmaceuticals, we really need to be pushing those companies

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Speaker 1: to use friendly countries or come back to the United States.

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Speaker 1: Want to ask you about running for a governor in

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Speaker 1: can all watching at home or listening donate as well

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Speaker 1: if you can so. Tutor running for governor, you're hanging

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Speaker 1: out with some friends. You're in Michigan, You're like, no

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Speaker 1: one else is running. Gretchen Whitmer's horrible, like truly horrible.

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Speaker 1: I don't really care. I'm gonna say this. You know,

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Speaker 1: I'm in Florida now. I was in New York for

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Speaker 1: almost forty years of my life, give or take the

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Speaker 1: college years and some CIA years thrown in there. But

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Speaker 1: I don't really care about other states governors very much.

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Speaker 1: Right if someone asked me, what do I think of

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Speaker 1: the governor of Wyoming, I don't even know. The governor

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Speaker 1: of Wyoming is off the top of my head. Am

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Speaker 1: I gonna lie? Your governor, though, was like Fauci in

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Speaker 1: a wig, Like your governor was the absolute worst. So

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Speaker 1: you step up to stop the madness? What's that process? Like?

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Speaker 1: I mean, what did you learn from doing it? And

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Speaker 1: would you do it again? I've said to people, maybe

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Speaker 1: it's like pregnancy and you forget and then you do

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Speaker 1: it again. Maybe there's that chance, because it really is very,

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Speaker 1: very hard. It's interesting because I think what people don't understand,

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Speaker 1: and this is one of the questions we got over

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Speaker 1: and over again. It was like, why don't you come

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Speaker 1: out and say these things are lies or why do

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Speaker 1: they Why are they allowed to lie about you? When

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Speaker 1: you're a public figure. You know this buck, they can

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Speaker 1: say things about you and there's no defamation clause. You

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Speaker 1: can't go after them, so they can make up anything

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Speaker 1: they want. And I think that was the hardest part

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Speaker 1: was seeing them make things about my family, seeing them

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Speaker 1: make splice up my words and create commercials out of

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Speaker 1: things that I didn't really say, to make it look

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Speaker 1: like I said something that I hadn't said. That was

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Speaker 1: really challenging. But also, I mean, the whole process is

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Speaker 1: incredibly brutal because you go through this battle with your

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Speaker 1: own side first. You're fighting your own side first, and

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Speaker 1: it gets really ugly, and people that you have trusted

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Speaker 1: for years do things and turn against you, and you think, wow,

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Speaker 1: this is really harsh. I mean, you remember Donald Trump.

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Speaker 1: A lot of times, Donald Trump Junior has come out

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Speaker 1: and said, you know, my dad when he went down

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Speaker 1: that escalator, said now we find out who our friends are,

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Speaker 1: and that's really exactly right. You find out who's going

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Speaker 1: to call you and say did you say this? You

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Speaker 1: find out who's going to come out and say something

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Speaker 1: about you behind your back, and it was that was

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Speaker 1: pretty shocking. But I think that, you know, going around

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Speaker 1: the state, the thing that was the most surprising to

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Speaker 1: me that was nothing to do with me at all.

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Speaker 1: Going around the state. If you go to other states,

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Speaker 1: you see things thriving. I mean, we've gone to Dallas,

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Speaker 1: We've gone to Nashville and seeing folks down that you

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Speaker 1: know down in Nashville, and those cities are just booming.

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Speaker 1: They have cars everywhere, people are driving around, all the

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Speaker 1: restaurants are open. I think people don't realize in Michigan

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Speaker 1: we lost full communities. So as I was campaigning, I

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Speaker 1: had people really literally falling into my arms and crying

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Speaker 1: and saying, bring back our communities. We used to have

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Speaker 1: a whole row of restaurants down the street, and out

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Speaker 1: of the six restaurants that we're here, there's one left

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Speaker 1: our community. And that was really the sense of community

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Speaker 1: totally lost. And so that was the most surprising thing

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Speaker 1: to me. As I started leaving the state to travel

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Speaker 1: to some other cities and talk to folks about investing

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Speaker 1: in Michigan, I saw, Wow, the rest of the country

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Speaker 1: is really bounced back and Michigan really hasn't. But the

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Speaker 1: overwhelming joy of people too, the resilience of the human spirit.

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Speaker 1: Going out and talking to these people and even through tears,

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Speaker 1: they're just holding my hands and saying, we're going to

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Speaker 1: pray for you. We want to see this happen. And

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Speaker 1: it was such an amazing experience for people who are

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Speaker 1: concerned about running for office because it's brutal and you

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Speaker 1: get attacked in the media, and the media is not

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Speaker 1: your friend, especially if you are on the right side

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Speaker 1: of the aisle. The media is not your friend. I

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Speaker 1: have to tell you it is the most rewarding thing

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Speaker 1: you can do to go out and talk to people

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Speaker 1: and give them hope. That was just amazing and I

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Speaker 1: really encourage other people to go out and attempt to

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Speaker 1: serve if you can. Yeah. Well, on the on the

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Speaker 1: media side is you'll be seeing more and more going forward. Tutor.

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Speaker 1: For every fifty people on Twitter who tell you that

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Speaker 1: you know, meaning me in this case, you go to

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Speaker 1: tell me that I'm I'm horrible, dumb, ugly and should

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Speaker 1: you know, go jump off a bridge. There'll be one

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Speaker 1: person who comes up to me in an airport or

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Speaker 1: while I'm in line at the grocery store who's like,

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Speaker 1: I love your show and all I ever remember is

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Speaker 1: that person. We do it for that person, right the

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Speaker 1: other their blue hair and their cat food. You know

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Speaker 1: they're sad. They're sad, and those are not real people.

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Speaker 1: And that's what I try to explain to people that

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Speaker 1: the Twitter verse is not the average person. The average

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Speaker 1: person isn't on Twitter. They're not They're not looking at

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Speaker 1: what you're doing on Twitter. Twitter may set a media narrative,

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Speaker 1: but the people are totally different. Tonight, I was at

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Speaker 1: my daughter's basketball game. I'm just watching the basketball game

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Speaker 1: and this woman kind of comes down the bleachers and

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Speaker 1: sits next to me, and she said, I just want

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Speaker 1: to tell you that we watch your entire race and

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Speaker 1: we were so proud to be supporting you. And it

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Speaker 1: really is so humbling because you feel like, wow, I

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Speaker 1: didn't even know that these people were out there, that

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Speaker 1: they felt that way about me. And what can I

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Speaker 1: do to keep that promise in other ways? And that's

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Speaker 1: something that's been important to me in this If I

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Speaker 1: can't be serving them in that way, then I believe

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Speaker 1: that God put me on this journey for some reason,

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Speaker 1: that there's still a path to helping folks and making

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Speaker 1: sure that we bring those communities back whatever way I

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Speaker 1: can do that, And so that's why I'm still in

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Speaker 1: the game and I'm still focused on serving people. However

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Speaker 1: I can. Did your daughter's team win, by the way, No,

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Speaker 1: it was terrible. They got blown out. Oh man, that

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Speaker 1: could be a rough one. What was it? I mean

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Speaker 1: was it was the other team? The other team just

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Speaker 1: usually at that level. I coached high school soccer at

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Speaker 1: one point. And if you have one or two players

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Speaker 1: who are going to go, you know, go. You can

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Speaker 1: always tell to one or two players on a team

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Speaker 1: that are going to go college, especially if they're going

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Speaker 1: to go play D one. That's the team that usually

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Speaker 1: there's water that's not happening. It wasn't happening. Now. Well

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Speaker 1: it's sixth grade though, so sixth grade everybody is still

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Speaker 1: kind of, you know, learning their own body too. So

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Speaker 1: I mean, you go in and you never know. But

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Speaker 1: the funny thing is, so my sixth grader plays basketball,

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Speaker 1: and then my fourth graders play with their twins and

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Speaker 1: they play basketball. And we are truly the shortest people here.

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Speaker 1: So we live in an area of Michigan that is

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Speaker 1: very Dutch, and Dutch people are all extraordinarily tall. Like

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Speaker 1: we walked into school the first day, and people were like, oh,

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Speaker 1: look at those tiny little children. But they were actually

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Speaker 1: in the class with the other kids. They just thought

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Speaker 1: that they were tiny little children. So no one expects

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Speaker 1: my one daughter, she's the smallest one of my twins,

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Speaker 1: to be anything on the basketball court, and she is

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Speaker 1: like so awesome. She goes out there and she made

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Speaker 1: four baskets on Saturday and she's just like this little ringer.

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Speaker 1: No one expects it, which is kind of cool to

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Speaker 1: watch when they're I mean, there was this guy was amazing.

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Speaker 1: Did you watch I used to watch the Ian Clay

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Speaker 1: makes fun of me and says that I don't like sports.

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Speaker 1: That's actually, as I've gotten older, I don't really watch

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Speaker 1: munch professional sports. I do like playing sports, and certainly

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Speaker 1: hope to, uh, you know, coach my own kids one day.

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Speaker 1: But way back in the day, I did watch NBA.

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Speaker 1: Do you remember there was a guy, Muggsy Bogues who

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Speaker 1: was in the NBA. I think he was five foot five.

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Speaker 1: There was a there was a player in the NBA.

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Speaker 1: He's a famous player. And then there was a guy

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Speaker 1: named Spud web This is back in the early nineties,

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Speaker 1: and Spud Webb actually won the slam Dunk contest and

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Speaker 1: he was five foot nine. So I'm just saying, tell

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Speaker 1: your girls, there's a chance she will defy genetics and

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Speaker 1: still be able to play basketball. But she's really I mean,

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Speaker 1: I never You know, It's funny because as a parent,

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Speaker 1: there are things that your kids do and you never

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Speaker 1: thought that could be possible. You know, you're like, that's

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Speaker 1: not part of us. Didn't come from me, it didn't

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Speaker 1: come from my husband. So then they do something and

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Speaker 1: it totally blows your mind. My one, my oldest daughter,

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Speaker 1: is extraordinarily shy, and she went to school and she

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Speaker 1: went to this school's new three. When COVID hit, we

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Speaker 1: moved them to this school. And she's tried out for

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Speaker 1: the play, never done anything like this before. And the

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Speaker 1: girl at the front desk said to me, well, Larkin's amazing.

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Speaker 1: She's going to Hollywood. And I will confess that as

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Speaker 1: a mom, I thought she must have the wrong child

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Speaker 1: because Larkin is shy. She's not, that's not her. And

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Speaker 1: then she comes out on stage at the play and

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Speaker 1: she's singing, and she's like amazing. And I turned to

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Speaker 1: my husband and I'm like, did you know how she

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Speaker 1: could sing? It's like, how do we not about our

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Speaker 1: own kid? You know? But I think that's the coolest

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Speaker 1: part about parenting. Sometimes your child does and then you're like,

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Speaker 1: where does that come from? But it's amazing, And there

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Speaker 1: are things that are not amazing that they do too.

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Speaker 1: I've heard stories about that, you know. I'm actually I've

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Speaker 1: got to ask you a few questions here. I gotta

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Speaker 1: ask you for some advice in a second, because uter

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Speaker 1: I'm getting married in just a matter of days, so

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Speaker 1: I want the woman, thank you. Yeah, I want the

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Speaker 1: woman's perspective on how to make everything go as smoothly

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Speaker 1: as possible for me for the next forty years or so.

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Speaker 1: So we'll get to that in just a second. Yeah,

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Speaker 1: I'm sure you've got some thoughts. Heads up, if you're

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Speaker 1: a T Mobile subscriber, they're investigating a data breach that

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00:18:11,840 --> 00:18:15,440
Speaker 1: exposed the sensitive personal information of thirty seven million customers

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Speaker 1: right after the New year. Cyber Hackers grab data without

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Speaker 1: notice might include customer names, email billing addresses, and phone numbers.

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Speaker 1: If exploited, cyber criminals can use this information to commit

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Speaker 1: online identity theft. If your own info is involved, how

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Speaker 1: will you know? This is why you need LifeLock. Lifelocks

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00:18:31,800 --> 00:18:34,760
Speaker 1: online identity theft protection includes monitoring the web twenty four

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Speaker 1: to seven for regular activities and new account opens. Look.

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Speaker 1: I've had LifeLock for years. If you don't have it online,

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00:18:39,240 --> 00:18:42,359
Speaker 1: you need to have it because they steal your information.

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Speaker 1: They take out credit cards, loans in your name. It's

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00:18:44,080 --> 00:18:46,399
Speaker 1: a mess, can mess up your credit. That's happened to

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Speaker 1: me before. It's why I have LifeLock now to catch

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00:18:48,320 --> 00:18:50,640
Speaker 1: my back. You need it too. It's important to understand

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00:18:50,640 --> 00:18:53,760
Speaker 1: how cybercrime and identity theft are affecting our lives. And remember,

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Speaker 1: if you do become a victim of identity theft, a

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Speaker 1: LifeLock restoration specialist base here in the US will help

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Speaker 1: all identity theft or monitor all transactions at all businesses,

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Speaker 1: but it's easy to at least take the first step

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00:19:06,280 --> 00:19:09,119
Speaker 1: in protecting yourself with LifeLock. I've been using them for years.

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00:19:10,119 --> 00:19:12,440
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Speaker 1: five percent off, or call one eight hundred LifeLock. That's

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00:19:23,720 --> 00:19:28,080
Speaker 1: one eight hundred LifeLock. And all right, tutor, Now this

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Speaker 1: is the part of the podcast that everyone's gonna have

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Speaker 1: to take notes on. So you're how many kids you have? Three?

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Speaker 1: You have three kids? Four? Four kids? Okay, so you

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Speaker 1: are a happily married wife and mom with four kids.

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Speaker 1: How do I follow in the footsteps here? I mean,

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Speaker 1: obviously I can't personally have the four kids, but I'd

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00:19:44,280 --> 00:19:47,159
Speaker 1: like to have two or three getting married? How do

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Speaker 1: I have happy wife, happy life? You know? I mean

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Speaker 1: if I had the answer to that, then I would

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Speaker 1: not be podcasting. I would just be laying back and

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Speaker 1: when my private jet going wherever I wanted. Right as

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Speaker 1: everybody wants to know what the answers. We are complicated people.

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Speaker 1: Women were complicated. It's very special. Yeah, yes, so, and

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Speaker 1: we like to make sure it's specialized to each one

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Speaker 1: of us so that you are always confused. That's the goal. Wow,

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Speaker 1: it's working right now. I'm confused. Right now. I want

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Speaker 1: an advice, and I feel like I know even less

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Speaker 1: than two minutes ago. But I think so you know

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Speaker 1: that they say there's a love language, and I don't

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Speaker 1: know if I really haven't read that book, but I

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Speaker 1: will tell you that for me, if my husband empties

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Speaker 1: the dishwasher or does the laundry, I am like, that

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Speaker 1: is so amazing. And I think that at one point

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Speaker 1: on the campaign trail, someone said to me, so, what

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Speaker 1: are your hobbies? And I thought, the only thing coming

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Speaker 1: to mind right now is laundry, because when you have

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Speaker 1: four kids, it's all you do. So when those chores

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Speaker 1: are picked up by him, it's just such a relief

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Speaker 1: and it makes me feel so happy inside. But I

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Speaker 1: think everybody's different, so you know, what my love language

428
00:21:02,080 --> 00:21:04,520
Speaker 1: is is obviously different than how someone else feels like

429
00:21:04,560 --> 00:21:07,119
Speaker 1: they're cared for and taken care of. But that I

430
00:21:07,160 --> 00:21:09,679
Speaker 1: think is the most important thing really in a relationship

431
00:21:09,760 --> 00:21:13,639
Speaker 1: is communicating what makes you feel like I'm there for you,

432
00:21:13,720 --> 00:21:16,160
Speaker 1: that I'm a partner. And that's where I think we

433
00:21:16,400 --> 00:21:20,240
Speaker 1: so oftentimes split in cases where we feel like we're

434
00:21:20,280 --> 00:21:23,000
Speaker 1: doing it alone, we're doing life alone. And it might

435
00:21:23,040 --> 00:21:25,680
Speaker 1: not be that you're doing life alone, but it might

436
00:21:25,720 --> 00:21:27,560
Speaker 1: just be that you don't know what the other person

437
00:21:27,640 --> 00:21:30,040
Speaker 1: needs to feel like they have a partner. A teammate

438
00:21:30,119 --> 00:21:33,399
Speaker 1: alongside them, and when you have four kids, it is

439
00:21:33,840 --> 00:21:36,240
Speaker 1: We're at the point where my girls are my twins

440
00:21:36,240 --> 00:21:39,000
Speaker 1: are nine, and then I have eleven and thirteen, and

441
00:21:39,640 --> 00:21:42,960
Speaker 1: it is a battle. You know. I thought, I kept thinking,

442
00:21:43,040 --> 00:21:45,359
Speaker 1: once they can tie their shoes, life won't be so

443
00:21:45,440 --> 00:21:48,080
Speaker 1: much easier. Then you have these moments where you think, well,

444
00:21:48,119 --> 00:21:50,760
Speaker 1: once they can read, life will be so much easier.

445
00:21:51,119 --> 00:21:54,440
Speaker 1: And it really is just a different level of heart.

446
00:21:54,560 --> 00:21:58,639
Speaker 1: That's why that partnership with your spouse is so key,

447
00:21:58,720 --> 00:22:02,080
Speaker 1: that partnership where you feel like I'm safe with this person,

448
00:22:02,640 --> 00:22:06,680
Speaker 1: because life is hard, and I think people expect life

449
00:22:06,680 --> 00:22:09,199
Speaker 1: to be so easy. You know, I look at some

450
00:22:09,240 --> 00:22:11,840
Speaker 1: of the things that we fight about in campaigns and

451
00:22:11,880 --> 00:22:14,679
Speaker 1: I think life is not easy. You know, when my

452
00:22:14,760 --> 00:22:17,440
Speaker 1: girls were when my twins were two, I had two,

453
00:22:17,520 --> 00:22:20,439
Speaker 1: four and six when I was diagnosed with cancer, and

454
00:22:21,480 --> 00:22:24,359
Speaker 1: that was one of those moments where I thought, gosh,

455
00:22:24,400 --> 00:22:28,000
Speaker 1: if something, if this goes south, the twins probably won't

456
00:22:28,040 --> 00:22:32,239
Speaker 1: remember me. My middle daughter won't likely remember much, and

457
00:22:32,280 --> 00:22:34,840
Speaker 1: my six year old will have very faint memories of me.

458
00:22:35,280 --> 00:22:38,440
Speaker 1: And if you don't have that person that support next

459
00:22:38,440 --> 00:22:41,080
Speaker 1: to you, saying we're going to power through this. It's

460
00:22:41,080 --> 00:22:43,359
Speaker 1: really hard. I mean, I just think it's a matter

461
00:22:43,440 --> 00:22:45,920
Speaker 1: of finding where you prop up the person when they

462
00:22:45,960 --> 00:22:50,159
Speaker 1: are falling over and making sure you're doing that. May

463
00:22:50,200 --> 00:22:54,000
Speaker 1: ask what was the what kind of cancer were you battling?

464
00:22:54,000 --> 00:22:57,000
Speaker 1: At the time, I had breast cancer, So that was

465
00:22:57,400 --> 00:23:00,239
Speaker 1: really a shocking moment. It was interesting because I mean,

466
00:23:00,280 --> 00:23:03,119
Speaker 1: maybe this is too much information, but you all know

467
00:23:03,200 --> 00:23:07,400
Speaker 1: this now. So when I went in, I was nursing

468
00:23:07,560 --> 00:23:10,639
Speaker 1: at the time, and I would have never thought that

469
00:23:10,720 --> 00:23:12,600
Speaker 1: this is what cancer felt like. I went into the

470
00:23:12,640 --> 00:23:16,320
Speaker 1: doctor and the physician's assistant was like, how long have

471
00:23:16,359 --> 00:23:19,840
Speaker 1: you had this lump here? And I didn't think anything

472
00:23:19,840 --> 00:23:22,520
Speaker 1: of it. So she sent me for a mammogram and

473
00:23:22,600 --> 00:23:25,159
Speaker 1: an ultrasound. And I went in for the mammogram and

474
00:23:25,200 --> 00:23:28,440
Speaker 1: the girl said, you know what, the mammogram is totally clean,

475
00:23:28,520 --> 00:23:31,280
Speaker 1: there's nothing there. They did send you for an ultrasound,

476
00:23:31,359 --> 00:23:33,960
Speaker 1: so we'll do one just to be safe, but you're

477
00:23:33,960 --> 00:23:36,639
Speaker 1: going to be fine. And I went in for the ultrasound,

478
00:23:36,800 --> 00:23:37,960
Speaker 1: and you know, you go in and they're like, how

479
00:23:37,960 --> 00:23:40,800
Speaker 1: many children do you have? Oh? Four? Hold are their names?

480
00:23:41,119 --> 00:23:44,200
Speaker 1: And then they do the ultrasound and their faces all

481
00:23:44,320 --> 00:23:47,439
Speaker 1: changed and there it's like how many children did you

482
00:23:47,480 --> 00:23:50,959
Speaker 1: say you have? And I remember thinking this is really

483
00:23:51,000 --> 00:23:53,200
Speaker 1: not this is not a good reaction. They said, would

484
00:23:53,200 --> 00:23:57,800
Speaker 1: you mind staying for a biopsy? And so I stayed

485
00:23:57,800 --> 00:24:01,680
Speaker 1: for the biopsy and then it was like a miscommunication

486
00:24:01,840 --> 00:24:06,560
Speaker 1: between the biopsy doctor and my doctor. My doctor thought

487
00:24:06,560 --> 00:24:08,399
Speaker 1: that I knew, so that she called me into her

488
00:24:08,400 --> 00:24:10,159
Speaker 1: office a few days later and I walked in and

489
00:24:10,200 --> 00:24:13,600
Speaker 1: she just immediately started handing me cancer brochures and I said,

490
00:24:14,720 --> 00:24:17,960
Speaker 1: do I have cancer? And she said, I thought they

491
00:24:18,000 --> 00:24:22,720
Speaker 1: already told you. So then was the journey of what's next.

492
00:24:22,800 --> 00:24:24,720
Speaker 1: And it's funny because when you end up with a

493
00:24:24,760 --> 00:24:28,760
Speaker 1: diagnosis like this, everyone around you wants you immediately to

494
00:24:28,800 --> 00:24:31,160
Speaker 1: go straight to the doctor and get it fixed, get

495
00:24:31,160 --> 00:24:33,360
Speaker 1: it fixed. And I was sort of one of those

496
00:24:33,400 --> 00:24:35,720
Speaker 1: people that wanted to talk to a few different doctors

497
00:24:35,760 --> 00:24:39,360
Speaker 1: to find out and I recommend that. I really. I

498
00:24:39,400 --> 00:24:43,159
Speaker 1: think it's so often as people we think whatever the

499
00:24:43,200 --> 00:24:45,600
Speaker 1: first doctor says, we have to listen. The doctor is

500
00:24:45,640 --> 00:24:47,680
Speaker 1: the person of authority. We just have to go with

501
00:24:47,680 --> 00:24:50,280
Speaker 1: that person. And the first doctor I talked to was

502
00:24:50,320 --> 00:24:53,480
Speaker 1: just not the person. I ended up going to Johns Hopkins.

503
00:24:53,600 --> 00:24:57,640
Speaker 1: And this is how cool this story is. After my surgery.

504
00:24:57,880 --> 00:25:01,439
Speaker 1: Three years after my surgery, my breast surgeon called me

505
00:25:01,480 --> 00:25:04,960
Speaker 1: and he said, and you think about this after all

506
00:25:05,000 --> 00:25:07,120
Speaker 1: of these other people have gone in, because if you're

507
00:25:07,119 --> 00:25:10,399
Speaker 1: in Johns Hopkins Cancer Center, you have somebody coming in

508
00:25:10,440 --> 00:25:13,480
Speaker 1: every five minutes with breast cancer. But three years later,

509
00:25:13,520 --> 00:25:16,119
Speaker 1: the surgeon called me and he said, I've a young woman,

510
00:25:16,240 --> 00:25:19,199
Speaker 1: she's thirty five. She has the same cancer you have,

511
00:25:19,280 --> 00:25:21,720
Speaker 1: and she's really scared. Would you call her and talk

512
00:25:21,720 --> 00:25:26,159
Speaker 1: her through it? How amazing is that? Yeah? Yeah, I

513
00:25:26,240 --> 00:25:28,760
Speaker 1: mean I also I think that's so important whenever someone

514
00:25:28,800 --> 00:25:33,040
Speaker 1: has a really serious health issue, that there's that first thing.

515
00:25:33,160 --> 00:25:35,840
Speaker 1: The first step is the feeling of alone. And you know,

516
00:25:35,880 --> 00:25:37,719
Speaker 1: when you're dealing with the health system, and I've had

517
00:25:37,760 --> 00:25:40,639
Speaker 1: to deal with this with family members and who have

518
00:25:40,680 --> 00:25:43,600
Speaker 1: had to go through you realize one of the things

519
00:25:43,640 --> 00:25:45,600
Speaker 1: that I think you're you have to fight along the

520
00:25:45,640 --> 00:25:49,000
Speaker 1: way is the recognition that it feels sometimes like nobody

521
00:25:49,040 --> 00:25:50,959
Speaker 1: cares about what you're going through. But you you know,

522
00:25:51,000 --> 00:25:54,360
Speaker 1: when you're making your way through the hospital corridors, waiting

523
00:25:54,359 --> 00:25:57,159
Speaker 1: in the waiting rooms and waiting for the meetings and

524
00:25:57,200 --> 00:25:59,920
Speaker 1: the scans, and you know, my grandmother had had can

525
00:26:00,080 --> 00:26:02,840
Speaker 1: sir and Juste, you had multiple cancers at the same time.

526
00:26:03,359 --> 00:26:05,960
Speaker 1: And being able to talk to somebody who's gone through

527
00:26:06,080 --> 00:26:07,960
Speaker 1: it and come out on the other side as you

528
00:26:08,000 --> 00:26:12,000
Speaker 1: have in particular, as you know, health healthy, and you

529
00:26:12,040 --> 00:26:14,520
Speaker 1: know prosperous as you've been, I think that would be

530
00:26:14,560 --> 00:26:16,119
Speaker 1: a very powerful I didn't know by the way that

531
00:26:16,119 --> 00:26:17,560
Speaker 1: you would you would have been through that, that you

532
00:26:17,600 --> 00:26:21,199
Speaker 1: are a cancer survivor. So I'm glad that you've got

533
00:26:21,240 --> 00:26:25,679
Speaker 1: great car at Johns Hopkins University. So you're a mom.

534
00:26:25,880 --> 00:26:29,040
Speaker 1: You have thought lots of battles already come out of

535
00:26:29,040 --> 00:26:34,960
Speaker 1: it successfully. What do you particularly energized about these days?

536
00:26:35,080 --> 00:26:37,320
Speaker 1: What do you see and you're like, this is the issue,

537
00:26:37,400 --> 00:26:40,920
Speaker 1: this is the thing I'm trying to transition to someone.

538
00:26:41,080 --> 00:26:42,840
Speaker 1: I do a lot of work on the border, and

539
00:26:43,320 --> 00:26:46,200
Speaker 1: I think that immigration is a fascinating and really important

540
00:26:46,240 --> 00:26:49,159
Speaker 1: illegal immigration specifically, What for you right now is the

541
00:26:49,160 --> 00:26:52,080
Speaker 1: thing that you are the most we need to fix

542
00:26:52,160 --> 00:26:55,880
Speaker 1: this in this country. Well, it's funny that you bring

543
00:26:55,960 --> 00:27:00,760
Speaker 1: up immigration because I probably have a slightly view on

544
00:27:00,800 --> 00:27:05,760
Speaker 1: it than maybe other people, but maybe not. Maybe other

545
00:27:05,800 --> 00:27:08,000
Speaker 1: people just haven't really talked about it this way. But

546
00:27:08,640 --> 00:27:11,480
Speaker 1: as I told you, it's difficult to start a steel

547
00:27:11,520 --> 00:27:14,680
Speaker 1: foundry in the United States because that's not the skill

548
00:27:14,720 --> 00:27:18,159
Speaker 1: set that we have anymore. But my dad recently helped

549
00:27:18,200 --> 00:27:21,719
Speaker 1: someone start a new foundry up in Indiana, and he

550
00:27:21,840 --> 00:27:24,720
Speaker 1: wanted to bring in folks from the Czech Republic in

551
00:27:24,840 --> 00:27:28,160
Speaker 1: Ukraine that we're specialists in their field. But according to

552
00:27:28,240 --> 00:27:32,320
Speaker 1: these immigration documents, to be considered a specialist in your field,

553
00:27:32,720 --> 00:27:35,320
Speaker 1: you had to have a degree in that field. Well,

554
00:27:35,720 --> 00:27:38,600
Speaker 1: we need laborers, and these are people that are truly

555
00:27:38,680 --> 00:27:42,080
Speaker 1: specialists in pouring molten metal. And that may seem like

556
00:27:42,119 --> 00:27:43,960
Speaker 1: you can just pour it any which way, but it

557
00:27:44,000 --> 00:27:46,199
Speaker 1: really is something that you have to be skilled to know.

558
00:27:46,560 --> 00:27:49,000
Speaker 1: And so when you talk about immigration, I think about

559
00:27:49,040 --> 00:27:52,840
Speaker 1: immigration reform, Michigan is dying for workers right now. We

560
00:27:52,880 --> 00:27:55,760
Speaker 1: need workers in hotels, we need workers and restaurants, we

561
00:27:55,800 --> 00:27:59,600
Speaker 1: need workers in factories. These are in many cases skilled

562
00:27:59,640 --> 00:28:02,919
Speaker 1: labor that want to come into this country that can't.

563
00:28:02,960 --> 00:28:05,760
Speaker 1: So when we keep hearing from everybody, oh, there's just

564
00:28:05,800 --> 00:28:07,360
Speaker 1: people that want to come in. There's people that want

565
00:28:07,359 --> 00:28:10,119
Speaker 1: to come in. You cannot tell me that the United

566
00:28:10,160 --> 00:28:13,120
Speaker 1: States of America with the intelligent people that we have

567
00:28:13,200 --> 00:28:17,679
Speaker 1: and the data that we have and the technology that

568
00:28:17,720 --> 00:28:20,159
Speaker 1: we have, that we would not be able to create

569
00:28:20,200 --> 00:28:23,200
Speaker 1: an immigration system that would be able to match people

570
00:28:23,280 --> 00:28:26,520
Speaker 1: to the open positions that we have, and say, if

571
00:28:26,560 --> 00:28:28,960
Speaker 1: you are able to do this job, and you want

572
00:28:28,960 --> 00:28:31,920
Speaker 1: to stay in this job for however long, you can

573
00:28:31,920 --> 00:28:35,280
Speaker 1: earn your green card or you can you can earn

574
00:28:35,320 --> 00:28:38,680
Speaker 1: your citizenship over time by filling a position that we

575
00:28:38,800 --> 00:28:42,160
Speaker 1: simply cannot fill. And this is the time. I mean,

576
00:28:42,200 --> 00:28:47,080
Speaker 1: you're hearing about the lack of workers, right, aren't you. Oh? Yeah, absolutely, well,

577
00:28:47,120 --> 00:28:48,840
Speaker 1: one thing that I'm hearing a lot. We actually just

578
00:28:48,920 --> 00:28:54,080
Speaker 1: talk to chef Andrew Gruel, who runs a restaurant out

579
00:28:54,120 --> 00:28:56,160
Speaker 1: in Los Angeles about this, and I think it's really

580
00:28:56,200 --> 00:28:58,320
Speaker 1: important that we can't get people to show up to

581
00:28:58,360 --> 00:29:01,640
Speaker 1: work because we keep thinking, you pay them more than

582
00:29:01,680 --> 00:29:04,719
Speaker 1: what they can get from the system and they'll show up. Right,

583
00:29:04,760 --> 00:29:07,600
Speaker 1: So it's twenty If minimum wage in Los Angeles is

584
00:29:07,640 --> 00:29:10,000
Speaker 1: fifteen dollars, which I think it is, it's something like that.

585
00:29:10,920 --> 00:29:14,280
Speaker 1: But if somebody can make the equivalent of ten dollars

586
00:29:14,400 --> 00:29:16,960
Speaker 1: or twelve dollars an hour staying home with welfare and

587
00:29:17,040 --> 00:29:20,120
Speaker 1: various benefits that they have unemployment for however long they

588
00:29:20,160 --> 00:29:22,200
Speaker 1: can get at things like that, you have to pay

589
00:29:22,240 --> 00:29:24,640
Speaker 1: them a lot more than a little more than that

590
00:29:24,800 --> 00:29:26,640
Speaker 1: to make them show up to a job and actually

591
00:29:26,680 --> 00:29:29,320
Speaker 1: give you eight hours of their day. And that's where

592
00:29:29,480 --> 00:29:31,200
Speaker 1: he says, there's a golf right now. There are a

593
00:29:31,240 --> 00:29:32,960
Speaker 1: lot of people that are in kind of the gray

594
00:29:33,000 --> 00:29:36,760
Speaker 1: economy side hustles, get money from the state, have their

595
00:29:36,760 --> 00:29:39,440
Speaker 1: hands in different things. And when you say, okay, well

596
00:29:39,480 --> 00:29:41,160
Speaker 1: I'm paying a good wage, they say, yeah, but I

597
00:29:41,240 --> 00:29:43,680
Speaker 1: have to show up to get that wage. This other stuff.

598
00:29:43,720 --> 00:29:45,760
Speaker 1: I do whatever I want, which I mean, it was

599
00:29:45,840 --> 00:29:47,560
Speaker 1: it was eye opening to hear it from somebody who's

600
00:29:47,760 --> 00:29:51,040
Speaker 1: trying to run a business and keep a balance sheet healthy.

601
00:29:52,000 --> 00:29:54,800
Speaker 1: But that's what we keep saying in Michigan. Where did

602
00:29:54,800 --> 00:29:57,400
Speaker 1: everyone go? And there are so many, as you put

603
00:29:57,400 --> 00:30:00,680
Speaker 1: inside hustles right now, and even young people, even my

604
00:30:00,720 --> 00:30:03,520
Speaker 1: own kids, talk about, well if I were to grow

605
00:30:03,640 --> 00:30:06,440
Speaker 1: up and work on Instagram or work on and I

606
00:30:06,960 --> 00:30:11,120
Speaker 1: keep saying that's those are not really real jobs. I mean,

607
00:30:11,440 --> 00:30:14,040
Speaker 1: for some people it really it's a real job. She's

608
00:30:14,040 --> 00:30:16,000
Speaker 1: on a podcast and she's like, it's not a real job. No,

609
00:30:16,080 --> 00:30:19,360
Speaker 1: I like that, that's fine, that's good, It's okay, fine.

610
00:30:19,400 --> 00:30:21,000
Speaker 1: I mean, Claydon I joke around of this all the time.

611
00:30:21,000 --> 00:30:22,440
Speaker 1: We're like, how can we get paid to do this?

612
00:30:22,480 --> 00:30:24,720
Speaker 1: It's crazy? But go ahead. And it's not that I

613
00:30:24,720 --> 00:30:26,920
Speaker 1: would say to my kids, you know, only a few

614
00:30:27,040 --> 00:30:29,720
Speaker 1: people actually get to be football stars. But it is

615
00:30:29,800 --> 00:30:32,120
Speaker 1: kind of like that, you know, this is not you

616
00:30:32,520 --> 00:30:35,840
Speaker 1: that this is a really hard career to make money.

617
00:30:35,840 --> 00:30:37,600
Speaker 1: And it is not like you're going to go to

618
00:30:37,640 --> 00:30:40,680
Speaker 1: a restaurant and get hired and be able to work

619
00:30:40,760 --> 00:30:44,600
Speaker 1: right away. But there are so many young people that believe, well,

620
00:30:44,760 --> 00:30:47,120
Speaker 1: so and so can just travel around the country and

621
00:30:47,120 --> 00:30:50,400
Speaker 1: take pictures and become very wealthy. And so is that

622
00:30:51,120 --> 00:30:54,080
Speaker 1: causing a lack of work ethic? Is it just because

623
00:30:54,120 --> 00:30:56,600
Speaker 1: it's easy to make a few dollars here and then

624
00:30:56,600 --> 00:30:59,320
Speaker 1: take a few days off. We do seem to have

625
00:30:59,400 --> 00:31:02,000
Speaker 1: a work ethic problem in the United States, and I

626
00:31:02,080 --> 00:31:05,280
Speaker 1: don't know that we've really identified where it's coming from.

627
00:31:05,320 --> 00:31:08,440
Speaker 1: In Michigan, I've had people come up with all kinds

628
00:31:08,440 --> 00:31:11,560
Speaker 1: of theories. Oh, the marijuana industry, it pays under the table.

629
00:31:11,680 --> 00:31:13,800
Speaker 1: Maybe they all went there, But how could all of

630
00:31:13,800 --> 00:31:17,080
Speaker 1: these people go. Now, Michigan's unique. We have people leaving

631
00:31:17,120 --> 00:31:20,960
Speaker 1: the state as well, so we're losing population. That always hurts.

632
00:31:21,000 --> 00:31:24,440
Speaker 1: But where are all the workers? And yet you have

633
00:31:24,480 --> 00:31:26,800
Speaker 1: all these people that would love to come into the

634
00:31:26,840 --> 00:31:30,960
Speaker 1: country and fill those jobs and not necessarily have a

635
00:31:31,000 --> 00:31:34,320
Speaker 1: minimum wage that puts the restaurant out of business. We

636
00:31:34,440 --> 00:31:37,440
Speaker 1: have some interesting things going on in Michigan where you

637
00:31:37,520 --> 00:31:42,520
Speaker 1: might get rid of tipping, have all servers make a

638
00:31:42,560 --> 00:31:45,680
Speaker 1: certain minimum wage. Some servers don't like that because if

639
00:31:45,680 --> 00:31:48,240
Speaker 1: they get tipped at a restaurant, they can make way

640
00:31:48,280 --> 00:31:54,080
Speaker 1: more than minimum wage. So it's a tough situation because people,

641
00:31:54,280 --> 00:31:56,160
Speaker 1: I don't know. People don't seem to want You're right,

642
00:31:56,240 --> 00:31:57,920
Speaker 1: they don't want to work the full day. You have

643
00:31:58,080 --> 00:32:00,640
Speaker 1: made people so jealous of you they just want your job.

644
00:32:00,680 --> 00:32:03,320
Speaker 1: But well, to see they have to recall though that.

645
00:32:03,400 --> 00:32:05,080
Speaker 1: For example, there was a time when I had to

646
00:32:05,080 --> 00:32:09,520
Speaker 1: show up to the NYPD and clock into the minute,

647
00:32:09,920 --> 00:32:11,960
Speaker 1: and if I was one minute late, I had to

648
00:32:12,280 --> 00:32:15,440
Speaker 1: literally one minute late for my tour. I would have

649
00:32:15,520 --> 00:32:19,080
Speaker 1: to fill out forms explaining why I was late. I

650
00:32:19,080 --> 00:32:22,320
Speaker 1: would have to add time onto the back. So when

651
00:32:22,320 --> 00:32:24,200
Speaker 1: you've done those kinds of jobs where they want. I

652
00:32:24,200 --> 00:32:26,440
Speaker 1: mean the same thing the CIA. I mean, it's the CIA.

653
00:32:26,480 --> 00:32:28,160
Speaker 1: They know where you are, right So when I would

654
00:32:28,200 --> 00:32:31,120
Speaker 1: come in, you're expected to be there the certain hours

655
00:32:31,120 --> 00:32:34,640
Speaker 1: you're there, and they're also people talk about overtime and stuff,

656
00:32:34,640 --> 00:32:37,200
Speaker 1: but we would just you would work way more hours

657
00:32:37,240 --> 00:32:39,080
Speaker 1: than what was expected. I mean we were in a

658
00:32:39,120 --> 00:32:42,600
Speaker 1: war office effectively the Rock office, and so there wasn't

659
00:32:42,600 --> 00:32:44,520
Speaker 1: a lot of like, oh it's five o'clock, time to go,

660
00:32:44,560 --> 00:32:46,240
Speaker 1: you know, if there was work to be done, people

661
00:32:46,280 --> 00:32:49,120
Speaker 1: just stayed and did it. But yeah, no, absolutely, I

662
00:32:49,120 --> 00:32:51,880
Speaker 1: mean coming into media, I joke about this with people

663
00:32:51,880 --> 00:32:53,440
Speaker 1: all the time in the business. I'm like, this is

664
00:32:53,760 --> 00:32:55,800
Speaker 1: it is a gift. I feel like everybody who gets

665
00:32:55,840 --> 00:32:59,560
Speaker 1: to make content and inform people for a living is

666
00:33:00,000 --> 00:33:02,360
Speaker 1: credibly lucky. And if you've done other jobs as I

667
00:33:02,400 --> 00:33:05,240
Speaker 1: have before this, and I was doing intel work for

668
00:33:05,280 --> 00:33:08,400
Speaker 1: about seven years, then when you get to do this,

669
00:33:08,480 --> 00:33:10,640
Speaker 1: you say to yourself, well, this is really this is

670
00:33:10,640 --> 00:33:13,040
Speaker 1: really a special thing. I mean, I could be sitting

671
00:33:13,040 --> 00:33:14,520
Speaker 1: here people don't even know. I could be sitting here

672
00:33:14,520 --> 00:33:16,640
Speaker 1: in my pajamas right now doing this podcast. They don't

673
00:33:16,640 --> 00:33:20,320
Speaker 1: even know. That would not have flown in the Iraq Office.

674
00:33:20,360 --> 00:33:21,880
Speaker 1: Let me tell you that it was jacket and tie

675
00:33:21,920 --> 00:33:25,000
Speaker 1: every day there. So I think if I were the

676
00:33:25,120 --> 00:33:27,880
Speaker 1: King of New York that I could fix New York

677
00:33:27,920 --> 00:33:30,480
Speaker 1: City pretty quickly because I know the city super well

678
00:33:30,520 --> 00:33:33,600
Speaker 1: and I understand the deficiencies. I firmly believe that, like,

679
00:33:33,640 --> 00:33:36,200
Speaker 1: if New York would just bring me in and let

680
00:33:36,200 --> 00:33:38,200
Speaker 1: me be more than the mayor, I have to be

681
00:33:38,280 --> 00:33:40,160
Speaker 1: kind of the dictator of New York, Like I couldn't

682
00:33:40,160 --> 00:33:42,160
Speaker 1: have like the city council chirping in my ear about

683
00:33:42,200 --> 00:33:44,560
Speaker 1: some nonsense. If they just empowered me, I could fix it.

684
00:33:45,200 --> 00:33:47,120
Speaker 1: Detroit used to be one of the greatest cities, one

685
00:33:47,160 --> 00:33:50,240
Speaker 1: of the greatest cities in America. Now Detroit unfortunately, I

686
00:33:50,240 --> 00:33:52,640
Speaker 1: mean I grew up, I watched the RoboCop movies, you know,

687
00:33:52,760 --> 00:33:55,280
Speaker 1: Beverly Hills Cop. I mean, Detroit has a reputation as

688
00:33:55,280 --> 00:33:59,600
Speaker 1: a city and it's not a particularly pleasant one for

689
00:33:59,640 --> 00:34:03,440
Speaker 1: the last twenty thirty years or so. Could it be fixed?

690
00:34:04,400 --> 00:34:07,360
Speaker 1: Do you think you could bring Detroit back? Well, I

691
00:34:07,400 --> 00:34:10,000
Speaker 1: will tell you one of the you asked earlier, what's

692
00:34:10,200 --> 00:34:12,440
Speaker 1: some of the most shocking stuff you discovered on the

693
00:34:12,440 --> 00:34:17,160
Speaker 1: campaign trail. There is a significant amount of corruption in

694
00:34:17,239 --> 00:34:19,680
Speaker 1: the state of Michigan. So that is part of the

695
00:34:19,719 --> 00:34:22,319
Speaker 1: big problem in Detroit. But of course, yes, it can

696
00:34:22,360 --> 00:34:25,279
Speaker 1: be fixed, it can be brought back. Detroit should be

697
00:34:25,400 --> 00:34:28,480
Speaker 1: I mean, Detroit really should overtake Chicago and be the

698
00:34:28,520 --> 00:34:31,919
Speaker 1: big city of the Midwest because it's beautiful. We have

699
00:34:32,000 --> 00:34:35,319
Speaker 1: an incredible landscape. You can just go up, just go

700
00:34:35,480 --> 00:34:38,440
Speaker 1: north of Detroit. You'd be at right on and on

701
00:34:38,440 --> 00:34:41,080
Speaker 1: an island. You can be vacationing. You can go up

702
00:34:41,120 --> 00:34:43,560
Speaker 1: to mackinaw you can vacation. You can come over to

703
00:34:43,600 --> 00:34:46,120
Speaker 1: my side of the state, be at the beach. Michigan

704
00:34:46,280 --> 00:34:49,719
Speaker 1: is an absolutely stunning state. You can go skiing, you

705
00:34:49,760 --> 00:34:52,000
Speaker 1: can go skiing, snow skiing in the winter, you can

706
00:34:52,040 --> 00:34:55,040
Speaker 1: go water skiing in the summer. And you have this

707
00:34:55,200 --> 00:34:58,640
Speaker 1: beautiful city right on the edge of the state. And

708
00:34:58,719 --> 00:35:02,520
Speaker 1: you can go back and forth to Canada. You can

709
00:35:02,600 --> 00:35:04,440
Speaker 1: go over there and gamble if you want, you can

710
00:35:04,480 --> 00:35:06,879
Speaker 1: come right back. You can do all kinds of fun

711
00:35:06,960 --> 00:35:09,160
Speaker 1: things from the state of Michigan and from the city

712
00:35:09,200 --> 00:35:13,239
Speaker 1: of Detroit. But we have and it has built back

713
00:35:13,560 --> 00:35:15,920
Speaker 1: quite a bit. Detroit is much better than what you

714
00:35:15,960 --> 00:35:20,120
Speaker 1: think of Detroit from the past. The reputation of Detroit

715
00:35:20,360 --> 00:35:22,239
Speaker 1: has kind of stuck with it. But if you go

716
00:35:22,280 --> 00:35:24,799
Speaker 1: into Detroit now, there's so many communities that have been

717
00:35:24,800 --> 00:35:28,160
Speaker 1: built up, really beautiful communities, and it does have a

718
00:35:28,239 --> 00:35:33,239
Speaker 1: ways to go, but it's certainly not from the standpoint

719
00:35:33,239 --> 00:35:38,000
Speaker 1: of you see the murders in Chicago and Saint Louis

720
00:35:38,080 --> 00:35:41,279
Speaker 1: solid time, Detroit is very dangerous, but we don't have

721
00:35:41,560 --> 00:35:44,760
Speaker 1: that kind of level of crime. So I do believe

722
00:35:44,840 --> 00:35:48,920
Speaker 1: that that's been worked on. There's the opportunity to increase

723
00:35:49,080 --> 00:35:52,520
Speaker 1: community policing to make sure that we are building back

724
00:35:52,600 --> 00:35:56,680
Speaker 1: that city and get investors. But to get investors into Detroit,

725
00:35:56,760 --> 00:35:59,520
Speaker 1: you really have to make Michigan as a state more

726
00:35:59,560 --> 00:36:02,080
Speaker 1: appeal and that's one of the things that we talked

727
00:36:02,080 --> 00:36:04,600
Speaker 1: about quite a bit on the campaign trails. How do

728
00:36:04,640 --> 00:36:08,920
Speaker 1: we make Michigan more appealing to businesses. I think in

729
00:36:08,960 --> 00:36:14,000
Speaker 1: the last ten years, Dallas has increased by two hundred headquarters.

730
00:36:14,160 --> 00:36:16,799
Speaker 1: The state of Michigan doesn't have that. So if we

731
00:36:16,840 --> 00:36:20,120
Speaker 1: can make the state of Michigan look better and build

732
00:36:20,120 --> 00:36:23,040
Speaker 1: the roads that we need for new businesses, make sure

733
00:36:23,080 --> 00:36:26,640
Speaker 1: that we get our energy costs down, bring more businesses here,

734
00:36:26,960 --> 00:36:30,640
Speaker 1: then we can build up Detroit. We can have investors

735
00:36:30,680 --> 00:36:34,000
Speaker 1: come and build up Detroit, but really Detroit gets a

736
00:36:34,000 --> 00:36:36,319
Speaker 1: bad rap. It has cleaned it up quite a bit.

737
00:36:36,640 --> 00:36:39,080
Speaker 1: There has been a lot of good work in policing

738
00:36:39,160 --> 00:36:41,720
Speaker 1: done there to bring the city back and make it safer.

739
00:36:42,040 --> 00:36:45,720
Speaker 1: Needs to be more done in the city of Detroit,

740
00:36:46,040 --> 00:36:48,320
Speaker 1: but I would love to see if be the shining

741
00:36:48,360 --> 00:36:51,120
Speaker 1: star in the Midwest. Yeah. I do think at one

742
00:36:51,160 --> 00:36:53,640
Speaker 1: point it was the highest back in the fifties, the

743
00:36:53,719 --> 00:36:57,000
Speaker 1: era of Ford. Obviously, it was the highest per capita

744
00:36:57,080 --> 00:37:00,960
Speaker 1: concentration of millionaires of any city in the United States,

745
00:37:01,000 --> 00:37:03,719
Speaker 1: which I think is as an interesting statistic. And also

746
00:37:03,760 --> 00:37:07,040
Speaker 1: there's all these you've probably seen it, these urban tours

747
00:37:07,840 --> 00:37:12,759
Speaker 1: or urbanum kind of photography landscape things were they'll go

748
00:37:12,800 --> 00:37:16,400
Speaker 1: and they'll show these beautiful old buildings in Detroit that

749
00:37:16,440 --> 00:37:19,359
Speaker 1: have been abandoned. You know, these these things that were

750
00:37:19,400 --> 00:37:23,160
Speaker 1: built that looked like cathedrals practically, I mean, they're they're

751
00:37:23,160 --> 00:37:26,680
Speaker 1: amazing structures have just been you know, left left to

752
00:37:27,320 --> 00:37:31,000
Speaker 1: grow with vines and trash and everything. So clearly there's

753
00:37:31,040 --> 00:37:33,440
Speaker 1: a great history. I have heard the downtown has gotten

754
00:37:33,440 --> 00:37:35,880
Speaker 1: a lot better. I've actually I've never been to Detroit.

755
00:37:35,960 --> 00:37:38,279
Speaker 1: So maybe this is an opportunity for me to put

756
00:37:38,280 --> 00:37:41,160
Speaker 1: it on the way, come spend some money in the

757
00:37:41,200 --> 00:37:44,560
Speaker 1: state of Michigan. But I will say that if we're

758
00:37:44,600 --> 00:37:47,759
Speaker 1: being really honest about Michigan, you brought up forward, what

759
00:37:47,840 --> 00:37:49,960
Speaker 1: a perfect time to talk about the fact that the

760
00:37:49,960 --> 00:37:53,120
Speaker 1: automotive industry is leaving the state of Michigan. And Gretchen

761
00:37:53,160 --> 00:37:55,279
Speaker 1: Whittmer will go out every day and tell you all

762
00:37:55,320 --> 00:37:57,760
Speaker 1: of the auto jobs that she's brought back. We lost

763
00:37:57,840 --> 00:38:01,320
Speaker 1: thirty two thousand auto jobs I think thirty four thousand,

764
00:38:01,480 --> 00:38:03,880
Speaker 1: eighty two thousand jobs total in the state of Michigan

765
00:38:03,920 --> 00:38:07,000
Speaker 1: while she was governor. But our auto jobs have really

766
00:38:07,200 --> 00:38:12,280
Speaker 1: really declined over the past four years. And the auto

767
00:38:12,280 --> 00:38:14,960
Speaker 1: company she'll tell you that the auto companies are coming here,

768
00:38:14,960 --> 00:38:17,239
Speaker 1: that we're getting these battery plants. But you're seeing the

769
00:38:17,239 --> 00:38:21,359
Speaker 1: battery plants. Go into Ohio, go into Tennessee, go into

770
00:38:21,440 --> 00:38:24,120
Speaker 1: North Carolina, and where the battery plants are, you will

771
00:38:24,120 --> 00:38:27,440
Speaker 1: see the assembly plants because that battery is the same

772
00:38:27,440 --> 00:38:31,080
Speaker 1: size as the vehicle. So right now, I had a

773
00:38:31,160 --> 00:38:34,200
Speaker 1: donor say to me, well, we didn't want to support

774
00:38:34,280 --> 00:38:37,959
Speaker 1: you in the race because we weren't sure what would happen.

775
00:38:38,080 --> 00:38:40,800
Speaker 1: So we cut a deal with Whitmer, and she said

776
00:38:40,800 --> 00:38:43,919
Speaker 1: that she would do all these things if we if

777
00:38:43,920 --> 00:38:46,680
Speaker 1: we donated to her, and then can you believe one

778
00:38:46,680 --> 00:38:49,000
Speaker 1: of the first things they decided to do was go

779
00:38:49,080 --> 00:38:53,719
Speaker 1: after right to work in the state of Michigan. Yeah,

780
00:38:54,800 --> 00:38:58,319
Speaker 1: I mean, yeah, how did you not? I mean, you know,

781
00:38:58,400 --> 00:39:01,560
Speaker 1: I know that you're in the commentary role now, you're

782
00:39:01,560 --> 00:39:04,040
Speaker 1: not an active race. Is Gretchen whit Or a bad

783
00:39:04,080 --> 00:39:06,400
Speaker 1: person because what she did during the pandemic makes me

784
00:39:06,440 --> 00:39:08,359
Speaker 1: think she's a bad person. I'm just going to ask you.

785
00:39:09,080 --> 00:39:11,279
Speaker 1: I will just say that my interactions with her were

786
00:39:11,280 --> 00:39:14,600
Speaker 1: always very pleasant. So you are such a nice person.

787
00:39:14,760 --> 00:39:18,000
Speaker 1: I have to say, you're a very nice lady. I'm impressed.

788
00:39:18,239 --> 00:39:20,640
Speaker 1: I haven't even met her, and I want to tress here.

789
00:39:20,719 --> 00:39:22,480
Speaker 1: I'm like, I cannot believe with you to keep going.

790
00:39:22,520 --> 00:39:26,279
Speaker 1: I'm sorry, Well, she was always very nice to me.

791
00:39:26,520 --> 00:39:28,680
Speaker 1: I don't like her policies, I mean, and I will

792
00:39:28,760 --> 00:39:33,000
Speaker 1: never like her policies because her policies are very progressive.

793
00:39:33,040 --> 00:39:35,120
Speaker 1: She is a very far leftist. So this is not

794
00:39:35,239 --> 00:39:38,279
Speaker 1: somebody who is I mean, she's talking about shutting down

795
00:39:38,320 --> 00:39:42,440
Speaker 1: our pipeline and that's something that nobody really addresses. A

796
00:39:42,480 --> 00:39:44,799
Speaker 1: few people address, but this is something that she's been

797
00:39:44,800 --> 00:39:47,640
Speaker 1: pushing for four years, shutting down our pipeline in the

798
00:39:47,680 --> 00:39:51,200
Speaker 1: state of Michigan. She's very progressive with hunting. They came

799
00:39:51,239 --> 00:39:54,200
Speaker 1: out with this new hunting rule where if you shoot

800
00:39:54,200 --> 00:39:56,600
Speaker 1: a deer, you have to report it on this website

801
00:39:56,640 --> 00:40:00,680
Speaker 1: now within forty or seventy two hours. And our hunters

802
00:40:00,680 --> 00:40:02,439
Speaker 1: are like, you know a lot of times we're out,

803
00:40:02,520 --> 00:40:04,880
Speaker 1: you know, a week where we don't have any service

804
00:40:04,960 --> 00:40:06,960
Speaker 1: and we can't do this. How it doesn't matter if

805
00:40:06,960 --> 00:40:09,760
Speaker 1: you get a misdemeanor. Why do you have to report

806
00:40:09,840 --> 00:40:12,279
Speaker 1: shooting a deer? I don't know what's the point of that.

807
00:40:13,200 --> 00:40:17,760
Speaker 1: The Department of Natural Resources has to know if every

808
00:40:17,760 --> 00:40:20,160
Speaker 1: time there is a deer that is taken out of

809
00:40:20,160 --> 00:40:22,719
Speaker 1: the herd, and they keep track of exactly how many

810
00:40:22,800 --> 00:40:25,000
Speaker 1: deer are shot of a year, which I understand, but

811
00:40:25,040 --> 00:40:27,120
Speaker 1: it's the amount of time that you have to have

812
00:40:27,160 --> 00:40:29,319
Speaker 1: it done and you have to do it online. This

813
00:40:29,400 --> 00:40:32,000
Speaker 1: is something that is not easy for our hunters. But

814
00:40:32,040 --> 00:40:35,600
Speaker 1: then they're coming out with these rules. Agencies that are

815
00:40:35,600 --> 00:40:38,840
Speaker 1: not legislators are coming out with rules that end up

816
00:40:38,880 --> 00:40:41,360
Speaker 1: with misdemeanors if you don't do them. And guess what

817
00:40:41,480 --> 00:40:44,040
Speaker 1: if you get a misdemeanor, then you lose your CPL.

818
00:40:44,239 --> 00:40:46,759
Speaker 1: So you can have your your guns taken away, you

819
00:40:46,760 --> 00:40:49,680
Speaker 1: can have your rights taken away because someone who's not

820
00:40:49,840 --> 00:40:53,520
Speaker 1: a lawmaker made a law that results in you getting

821
00:40:53,520 --> 00:40:56,120
Speaker 1: a misdemeanor that results in no CPL. Are you Are

822
00:40:56,160 --> 00:40:59,160
Speaker 1: you a hunter? By the way, I am not a hunter,

823
00:40:59,280 --> 00:41:01,359
Speaker 1: but I spend a lot of time so I spent

824
00:41:01,440 --> 00:41:04,040
Speaker 1: a lot of time with hunters while I was campaigning

825
00:41:04,040 --> 00:41:06,200
Speaker 1: and learning. You know, I'm one of those people that

826
00:41:06,239 --> 00:41:08,040
Speaker 1: I feel like I have to do it so I

827
00:41:08,040 --> 00:41:10,360
Speaker 1: can totally understand it. So one day they said, do

828
00:41:10,400 --> 00:41:14,000
Speaker 1: you want to go bear hunting? And I'm like, of course,

829
00:41:14,120 --> 00:41:18,319
Speaker 1: But inside I thought, I'm gonna tell you. I'm gonna

830
00:41:18,360 --> 00:41:20,600
Speaker 1: tell you right now toooter just you, me and the

831
00:41:20,760 --> 00:41:22,719
Speaker 1: many many people who will hear this. So this is

832
00:41:22,760 --> 00:41:26,160
Speaker 1: like we're in a friend zone here, um the trust tree.

833
00:41:26,680 --> 00:41:28,920
Speaker 1: I think bears are so cute. I could never shoot

834
00:41:28,920 --> 00:41:34,279
Speaker 1: a bear. I' this is my fear. I'm like, we're

835
00:41:34,320 --> 00:41:36,919
Speaker 1: gonna I'm gonna be really strong, I'm gonna I'm gonna

836
00:41:36,960 --> 00:41:39,240
Speaker 1: watch this happen, and I'm gonna be And I worried

837
00:41:39,239 --> 00:41:42,120
Speaker 1: about it for two weeks beforehand, and I'm like, what's

838
00:41:42,160 --> 00:41:45,000
Speaker 1: it like? You know, in my mind, we are out

839
00:41:45,080 --> 00:41:48,560
Speaker 1: all day going through the woods, you know, in in

840
00:41:48,840 --> 00:41:52,120
Speaker 1: all Camo and trying to find these deer and we

841
00:41:52,200 --> 00:41:54,719
Speaker 1: get there and like, no, you ride in a car,

842
00:41:54,840 --> 00:41:56,600
Speaker 1: you would look for the tracks and then you chase

843
00:41:56,680 --> 00:41:59,360
Speaker 1: the steer down. But fortunately we were a week before

844
00:41:59,440 --> 00:42:01,759
Speaker 1: you could actually shoot the deer. So this was just

845
00:42:01,920 --> 00:42:06,799
Speaker 1: like practice deer or bear chasing. Bear bear chasing. Yes,

846
00:42:07,120 --> 00:42:10,280
Speaker 1: so we couldn't shoot any bears while we were out there,

847
00:42:10,320 --> 00:42:12,680
Speaker 1: but we could track them down and chase it. And

848
00:42:12,719 --> 00:42:17,440
Speaker 1: then they send these dogs. The dogs are really chase. Yeah,

849
00:42:17,480 --> 00:42:20,640
Speaker 1: so it was it was a rough I just want

850
00:42:20,640 --> 00:42:22,640
Speaker 1: to be friends with the bear and let them get

851
00:42:22,880 --> 00:42:25,000
Speaker 1: a picnic basket. I think they want to be friends

852
00:42:25,000 --> 00:42:26,759
Speaker 1: with you, though, so you should be careful. That is

853
00:42:26,800 --> 00:42:29,719
Speaker 1: probably true. Actually they're probably you know, they're they're they

854
00:42:29,760 --> 00:42:31,840
Speaker 1: look cute from afar. I remember I saw grizzlies up

855
00:42:31,880 --> 00:42:35,080
Speaker 1: in Alaska and from far away, you're like, they're majestic

856
00:42:35,160 --> 00:42:37,640
Speaker 1: and beautiful. And then it got within about fifty yards

857
00:42:37,640 --> 00:42:40,120
Speaker 1: of us. And I was like, um, we all have

858
00:42:40,160 --> 00:42:43,520
Speaker 1: fifty cowhandguns. Right, like you start to your your whole

859
00:42:43,800 --> 00:42:47,640
Speaker 1: sensibility goes from uh, these things are amazing. I feel

860
00:42:47,680 --> 00:42:50,440
Speaker 1: like I'm, you know, watching Wild Kingdom and Richard Attenborough's

861
00:42:50,560 --> 00:42:53,440
Speaker 1: narrating to We're not gonna like get eaten right, you know,

862
00:42:53,560 --> 00:42:55,640
Speaker 1: It's it shifts very quickly when they get much known.

863
00:42:55,960 --> 00:42:59,880
Speaker 1: The grizzlies aren't there. Well they are. We have black bears.

864
00:43:00,280 --> 00:43:02,319
Speaker 1: They're a little bit more cuddling, but I don't like

865
00:43:02,440 --> 00:43:05,719
Speaker 1: giant trash pandas they're like they're like overgrown raccoons. Most

866
00:43:05,760 --> 00:43:09,160
Speaker 1: most black bears aren't really that big. Um. Before before

867
00:43:09,160 --> 00:43:11,320
Speaker 1: we close, actually I have I have kind of a

868
00:43:11,400 --> 00:43:14,520
Speaker 1: serious question, political analysis question. I want to ask you

869
00:43:14,520 --> 00:43:17,480
Speaker 1: more about about hunting and well, actually a quick one.

870
00:43:17,760 --> 00:43:22,880
Speaker 1: What is the most underrated place in Michigan in your mind?

871
00:43:24,320 --> 00:43:26,839
Speaker 1: You know, whether it's a city or a place to go, Like,

872
00:43:26,920 --> 00:43:30,120
Speaker 1: what's the place that you know? You would say, um,

873
00:43:30,200 --> 00:43:32,960
Speaker 1: you know, like I don't know. If I were talking

874
00:43:33,000 --> 00:43:35,640
Speaker 1: about New York, which I know super well, I would

875
00:43:35,680 --> 00:43:39,480
Speaker 1: say underrated, although everyone knows everything in New York, but

876
00:43:39,760 --> 00:43:42,319
Speaker 1: the North Shore of or rather the North Fork of

877
00:43:42,360 --> 00:43:44,879
Speaker 1: Long Island is really amazing and you get a lot

878
00:43:44,880 --> 00:43:49,000
Speaker 1: of the advantage of the very famous Hampton's Beaches without

879
00:43:49,120 --> 00:43:52,600
Speaker 1: the price and the craziness for example. Right, So, well,

880
00:43:52,640 --> 00:43:54,920
Speaker 1: we we spent a lot of time in the Upper

881
00:43:54,960 --> 00:43:57,960
Speaker 1: Peninsula of Michigan, and I think that if you haven't

882
00:43:57,960 --> 00:44:00,360
Speaker 1: been there, I mean, it is truly God's kind country.

883
00:44:00,400 --> 00:44:02,839
Speaker 1: It is the summertime, it is so beautiful. We went

884
00:44:02,960 --> 00:44:05,920
Speaker 1: in the summer, and we went in February. February. You

885
00:44:06,040 --> 00:44:08,760
Speaker 1: have to be a harder core to go in February,

886
00:44:08,800 --> 00:44:11,360
Speaker 1: because I thought, I live on the west side of Michigan.

887
00:44:11,560 --> 00:44:14,160
Speaker 1: We get like effect snows, so in my mind, I'm

888
00:44:14,160 --> 00:44:16,439
Speaker 1: thinking I've seen a white out. I know how bad

889
00:44:16,440 --> 00:44:19,480
Speaker 1: snow is. No, it was nothing compared a white out.

890
00:44:19,520 --> 00:44:21,399
Speaker 1: I mean, I couldn't even see my fingers in front

891
00:44:21,440 --> 00:44:23,640
Speaker 1: of my face. This was so snowy. But we got

892
00:44:23,640 --> 00:44:26,640
Speaker 1: to see the dog sled rice. If you have never

893
00:44:26,719 --> 00:44:30,040
Speaker 1: done that, that's what I think is underrated. You've got

894
00:44:30,040 --> 00:44:31,919
Speaker 1: to go stand out in the cold with your hot

895
00:44:31,920 --> 00:44:35,399
Speaker 1: cocoa and watch these people, these mushers get on their

896
00:44:35,600 --> 00:44:38,000
Speaker 1: sleds and take off and just know that they're going

897
00:44:38,040 --> 00:44:40,960
Speaker 1: to be outside in this frigid, cold night after night,

898
00:44:41,080 --> 00:44:44,200
Speaker 1: snuggled up with their dogs, and it is pretty majestic

899
00:44:44,239 --> 00:44:45,799
Speaker 1: to see that happen. I mean, this might tell you.

900
00:44:45,960 --> 00:44:49,040
Speaker 1: I'm the guy at the ski lodge who is all

901
00:44:49,080 --> 00:44:55,520
Speaker 1: about room service and like the hot tub situation everyone.

902
00:44:55,680 --> 00:44:57,560
Speaker 1: You know, Yeah, I have no shame. I'm like this,

903
00:44:57,680 --> 00:45:00,680
Speaker 1: I'm taking a spot whatever it else's snowshoe or mushing

904
00:45:00,760 --> 00:45:04,640
Speaker 1: or whatever. One last thing for you, just how do

905
00:45:04,760 --> 00:45:08,360
Speaker 1: we get a Republican to win? This was the serious

906
00:45:08,440 --> 00:45:10,200
Speaker 1: question that I was going to ask you, how do

907
00:45:10,239 --> 00:45:13,080
Speaker 1: we get a Republican to win in Michigan in twenty

908
00:45:13,160 --> 00:45:18,480
Speaker 1: twenty four, because that's obviously really important. Well that is okay,

909
00:45:18,480 --> 00:45:21,480
Speaker 1: So this is the major question in the state of

910
00:45:21,480 --> 00:45:24,680
Speaker 1: Michigan because you know that Michigan not only did we

911
00:45:24,840 --> 00:45:28,319
Speaker 1: lose the governor seat, but we lost the state and

912
00:45:28,680 --> 00:45:31,120
Speaker 1: the State House and State Senate, so we always we'd

913
00:45:31,160 --> 00:45:35,440
Speaker 1: had a majority for forty years, lost everything. So for Michigan,

914
00:45:35,480 --> 00:45:37,839
Speaker 1: I think it's really important to look to Florida. And

915
00:45:37,880 --> 00:45:40,120
Speaker 1: I say that because I think so many people say

916
00:45:40,160 --> 00:45:42,960
Speaker 1: to me regularly, Oh, Rhonda Santis has been able to

917
00:45:43,000 --> 00:45:46,359
Speaker 1: do great things in Florida, but Rhonda Santis has only

918
00:45:46,400 --> 00:45:49,320
Speaker 1: been able to do great things in Florida because so

919
00:45:49,560 --> 00:45:52,200
Speaker 1: much of the procedure on the ground was set up

920
00:45:52,440 --> 00:45:55,800
Speaker 1: in the past for him. And I mean that by

921
00:45:56,080 --> 00:45:59,239
Speaker 1: Rick Scott, by Jeb Bush. The ground game that we've

922
00:45:59,280 --> 00:46:02,000
Speaker 1: talked about so much about mail in ballots. You know,

923
00:46:02,120 --> 00:46:05,279
Speaker 1: Florida was never complaining about this. They knew that a

924
00:46:05,320 --> 00:46:07,920
Speaker 1: lot of their population is using mail in ballots, so

925
00:46:07,960 --> 00:46:11,120
Speaker 1: they had that ground game of chasing ballots. We as

926
00:46:11,120 --> 00:46:14,400
Speaker 1: Republicans have a habit of chasing voters. We have rallies,

927
00:46:14,440 --> 00:46:16,520
Speaker 1: we talk to people, we want to get people together,

928
00:46:16,560 --> 00:46:19,799
Speaker 1: and we think we've got all these voters. But for

929
00:46:20,080 --> 00:46:23,799
Speaker 1: Democrats that this is a machine we want. If you're

930
00:46:23,840 --> 00:46:26,799
Speaker 1: a Democrat, we want ballots in our bag. We know

931
00:46:26,880 --> 00:46:30,799
Speaker 1: we have them, they are packed away, those votes are

932
00:46:31,200 --> 00:46:34,080
Speaker 1: we already have them, We've already counted them. So that's

933
00:46:34,200 --> 00:46:36,640
Speaker 1: what we have to change our mindset as Republicans and

934
00:46:36,719 --> 00:46:38,759
Speaker 1: say we've got to play. We've got to play on

935
00:46:38,800 --> 00:46:40,680
Speaker 1: the same level. We have got to make sure that

936
00:46:40,719 --> 00:46:44,120
Speaker 1: we're doing that, that we are identifying new voters, we

937
00:46:44,239 --> 00:46:46,080
Speaker 1: find out who they are. And Florida has done this.

938
00:46:46,160 --> 00:46:50,240
Speaker 1: Florida has registered more Republicans every single year. A ground

939
00:46:50,239 --> 00:46:52,760
Speaker 1: game like you would not believe, going out using data

940
00:46:52,880 --> 00:46:55,239
Speaker 1: checking to see how many people are in this neighborhood,

941
00:46:55,360 --> 00:46:57,960
Speaker 1: how many are Republicans? The rest who aren't registered are

942
00:46:58,000 --> 00:47:00,920
Speaker 1: probably Republicans. Will go do that and they go and

943
00:47:00,960 --> 00:47:04,640
Speaker 1: they register them. Then they hunt the mail in ballots.

944
00:47:04,719 --> 00:47:08,600
Speaker 1: They've got this down. So I'm saying for all states.

945
00:47:08,680 --> 00:47:11,880
Speaker 1: If you're looking at all states, all states that are saying, wow,

946
00:47:11,880 --> 00:47:13,720
Speaker 1: how are we going to get back in the game

947
00:47:13,800 --> 00:47:16,680
Speaker 1: as Republicans win. Let's take a look at what the

948
00:47:16,840 --> 00:47:20,520
Speaker 1: successful states have done, what their motto or what their

949
00:47:20,560 --> 00:47:23,719
Speaker 1: method has been to get those ballots and bring that

950
00:47:23,800 --> 00:47:26,880
Speaker 1: to our other purple states and turn them red. But

951
00:47:26,960 --> 00:47:29,600
Speaker 1: it's hard, it's work. It's got to be a lot

952
00:47:29,640 --> 00:47:31,520
Speaker 1: of raising money, it's got to be a lot of

953
00:47:31,600 --> 00:47:34,400
Speaker 1: people on the ground. This is a business. This is

954
00:47:34,440 --> 00:47:36,920
Speaker 1: not this is not just a feeling. It's got to

955
00:47:36,920 --> 00:47:40,279
Speaker 1: be a business mindset of we have a job to

956
00:47:40,320 --> 00:47:43,680
Speaker 1: do and we've got to get it done. Tutor, thanks

957
00:47:43,719 --> 00:47:45,279
Speaker 1: so much for being with us here today on the

958
00:47:45,520 --> 00:47:49,120
Speaker 1: Buck Sexton Show. Where can everyone go to follow your work,

959
00:47:49,160 --> 00:47:52,919
Speaker 1: your projects ahead, help you save Michigan, make Michigan. Great again,

960
00:47:52,960 --> 00:47:56,600
Speaker 1: all of it well we are. I'm at on Twitter

961
00:47:56,719 --> 00:48:00,160
Speaker 1: at tutor Dixon, on Facebook at tutor Dixon, and the

962
00:48:00,160 --> 00:48:03,319
Speaker 1: tutor dixon dot com website is under construction. We will

963
00:48:03,360 --> 00:48:06,680
Speaker 1: be unveiling something new soon, so stay tuned for that

964
00:48:06,800 --> 00:48:09,640
Speaker 1: and check back in. Tutor Dixon, thanks so much for

965
00:48:09,640 --> 00:48:12,000
Speaker 1: being with us. Good to see you. Thank you so

966
00:48:12,080 --> 00:48:12,279
Speaker 1: much