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Speaker 1: Second hour of Clay and but kicks off. Now everybody,

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Speaker 1: our friend Mark Simon, mister New York, will be joining

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Speaker 1: us at the bottom of talk about the New York

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Speaker 1: Mayor's race, also New Jersey Governor's race, So some big

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Speaker 1: stuff to dive into with Mark. Got great sources, connections

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Speaker 1: and insight into both of those contests. So looking forward

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Speaker 1: to that conversation. In the meantime, we have Donald Trump,

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Speaker 1: the one and only that down on sixty minutes with

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Speaker 1: Nora O'Donnell. This was all over the place doing a

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Speaker 1: long form. It was an hour sit down, but I

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Speaker 1: think they only aired like twenty something minutes of it.

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Speaker 1: We wanted to bring you some of the more interesting

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Speaker 1: moments and dive into some of that. So here we

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Speaker 1: have first Stop. Because tomorrow is in fact collection day.

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Speaker 1: Go vote, as we always say, just make sure you

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Speaker 1: go and do it. It's a good thing to do. Some

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Speaker 1: places they even give you a little sticker that says

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Speaker 1: I voted. You know, it's like when you go to

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Speaker 1: the pd aatrician's office. Did you get fuzzy stickers when

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Speaker 1: you go to the pediatricians office? Grown up or something?

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Speaker 1: You know, a little like a maybe they gave you

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Speaker 1: a Tutsi role, which is a song by the way.

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Speaker 2: Oh I know the song well, but I was not

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Speaker 2: expecting to see as I was sitting at the airport,

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Speaker 2: caught in travel hell as many people are. Unfortunately right

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Speaker 2: now you dancing to a song from Was that the

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Speaker 2: late nineties early two.

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Speaker 3: Nineties, like ninety three, ninety four? Oh wow?

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Speaker 1: Yes, But I was in fact doing my version of

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Speaker 1: the Tutsi role here in studio.

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Speaker 2: I did not expect to see that. It was as

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Speaker 2: I was texting and keeping tabs on my flight.

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Speaker 1: I look down and you're dancing. Play's telling me that

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Speaker 1: he can't unsee it. I don't even know what that means.

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Speaker 1: You know, it feels kind of hurtful. It feels kind

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Speaker 1: of hurtful. So yes, indeed they they will give you

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Speaker 1: a at some place at least the I voted stick

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Speaker 1: or go vote. That's the point. But on mom, Donnie

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Speaker 1: Trump had this to say, play one.

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Speaker 4: Zorhan mandan thirty four year old democratic socialist. He's the promunist,

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Speaker 4: not socialist communist.

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Speaker 3: Far He's far worse than assessment.

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Speaker 4: Some people have compared him to a left wing version

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Speaker 4: of you charismatic, breaking the old rules. What do you

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Speaker 4: think about that?

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Speaker 5: Well, I think I'm a much better looking person than him.

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Speaker 1: Right, this is just Trump being Trump Publius. First he

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Speaker 1: eats the slams of being a communist. Then he's like

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Speaker 1: a much better, much better looking guy. Trump in his

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Speaker 1: thirties was, I will say, a very very striking fellow,

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Speaker 1: flowing hair, jaw line, very good, very good true facts there.

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Speaker 1: But all the Mamdani issue, Clay, this is going to

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Speaker 1: get a lot of national attention. If this guy ends

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Speaker 1: up winning, as you have been saying all along, it

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Speaker 1: may post some problems for Democrats going into the mid terms,

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Speaker 1: because every indicator is that they should at least pretend

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Speaker 1: they're not going to moderate or to be more moderate,

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Speaker 1: but they should at least pretend to fool voters. That's

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Speaker 1: a little harder to do if you're going to be

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Speaker 1: giving endorsements, for example, to a Mamdani like figure, and

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Speaker 1: without Grandma Pelosi to keep all the members of Congress

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Speaker 1: in line, things could get pretty crazy over there on

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Speaker 1: the Democrats side.

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Speaker 3: This is why.

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Speaker 2: And I may have to give my big speech in

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Speaker 2: a positive way tomorrow, and I know that there are

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Speaker 2: a lot of you listening to us in New York City.

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Speaker 2: But I do think that Democrats are incredibly nervous about

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Speaker 2: the idea of Mam Donnie being the face of the

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Speaker 2: Democrat Party because he and AOC are going to become

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Speaker 2: the faces of the Democrat Party in the midterm for

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Speaker 2: next year. Best thing you can say about Mom Donni

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Speaker 2: if he wins is that he's going to have no

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Speaker 2: impact and he's not going to be able to put

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Speaker 2: in place the policies that he has campaigned on. And

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Speaker 2: certainly there is an incentive for all of you listening

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Speaker 2: in New York. Upstate New York, which is basically everywhere

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Speaker 2: outside of New York City is actually not that much

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Speaker 2: different than Alabama. And it sounds funny to people who

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Speaker 2: think of New York defined entirely as Manhattan as the

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Speaker 2: New York City area, But you get outside an hour

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Speaker 2: outside of New York City, buck, and it might as

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Speaker 2: well be Alabama or Mississippi in in much I mean

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Speaker 2: the number of.

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Speaker 3: A little more than an hour. But yeah, yeah, I

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Speaker 3: get what you're saying. Number signs.

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Speaker 2: When we went to Cooperstown, Uh, my boys, my kids

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Speaker 2: were blown away by the number of Trump signs that

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Speaker 2: are everywhere all over New York. My point on that is,

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Speaker 2: Kathy Hochel has an opportunity next year, I think, to

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Speaker 2: make a run as New York City's governor because I

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Speaker 2: think Mom Donnie is gonna get out a lot of

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Speaker 2: voters outside of the.

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Speaker 3: New York City.

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Speaker 1: The metro area really goes for Like the radius is

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Speaker 1: at least an hour in the car in all directions,

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Speaker 1: but Cooperstown, which is a four hour drive.

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Speaker 3: Yes, that's absolutely true.

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Speaker 1: You get out into more of the rural parts of

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Speaker 1: the state, or you know, closer to rural parts of

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Speaker 1: the state, you get very read very quickly, and you

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Speaker 1: know there's a lot of people that like hunting and.

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Speaker 2: They own I think that surprises a lot of people

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Speaker 2: who have spent no time because New York City overwhelms

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Speaker 2: the idea of New York State. Same thing, by the way,

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Speaker 2: Pennsylvania Philly and Pittsburgh to a certain extent, but you

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Speaker 2: drive around the state of Pennsylvania, I think Pennsylvania is

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Speaker 2: like the fourth most rural state in America, and it

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Speaker 2: astounds people because they think of Pennsylvania as being basically Philadelphia.

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Speaker 2: But that's my positive. What I would say right now

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Speaker 2: is if you are looking for reasons of optimism, Jack Chittarelli,

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Speaker 2: right now, if Republicans show up in big numbers tomorrow,

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Speaker 2: he's going to win. Now, they have to show up

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Speaker 2: in big numbers. But you can look at the voting

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Speaker 2: and maybe we get Ryan Gerdesky on tomorrow to talk

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Speaker 2: about this on election day because you can look at

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Speaker 2: the number of early votes they have party registration in

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Speaker 2: the New Jersey. I'm telling you that roughly party line.

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Speaker 2: Right now, Chittarelli is down about two hundred and fifty

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Speaker 2: thousand votes. So if Republicans in New Jersey show up

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Speaker 2: big on election day, Chittarelly can win. They are really

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Speaker 2: really nervous about that. Virginia, this AG's race is going

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Speaker 2: to be very close when some earl Sears is behind,

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Speaker 2: but it's down ballot. Lieutenant governor looks winnable. Certainly AG

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Speaker 2: is winnable. And who knows if all of you out

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Speaker 2: there in deep red parts of Virginia, many of these

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Speaker 2: states buck as you well know, there's a huge difference.

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Speaker 2: I'm not sure any state has more variety in terms

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Speaker 2: of southwestern Virginia, which is as deep red as you

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Speaker 2: can possibly get and northern Virginia, which is basically as

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Speaker 2: deep blue as you can get. Yet we need everybody

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Speaker 2: out there in Virginia to show up in big numbers.

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Speaker 5: Two.

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Speaker 2: And if you're out there and you're saying, Okay, I'm

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Speaker 2: not really fired up about the candidates, maybe I get

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Speaker 2: out and vote, because they will certainly use any indication

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Speaker 2: of their wins to try to demean and tear down

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Speaker 2: Donald Trump one year after his election and say, look,

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Speaker 2: they're in trouble. There's no way that they can win.

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Speaker 2: We're getting out spending big numbers, but we have a

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Speaker 2: chance to pull a big upset.

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Speaker 3: You mentioned DC.

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Speaker 1: I thought this was an interesting exchange in the CBS

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Speaker 1: sixty Minutes sit down. Here is now Norah Donald lives

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Speaker 1: in DC, yep, And she had to be a little

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Speaker 1: cagy here because.

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Speaker 3: She knows if she does the DC's.

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Speaker 1: Really safe, everybody else in d C is gonna flip

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Speaker 1: out and be like, don't even try that. Okay, so

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Speaker 1: she can't do that. But remember Trump tried to start

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Speaker 1: with DC to make it safer, and now it hopes

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Speaker 1: to expand that time lent out to other places. Here's

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Speaker 1: how this exchange went on safety police security d C

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Speaker 1: cut three.

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Speaker 5: How big a difference is DC now compared to what

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Speaker 5: it was a year ago?

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Speaker 6: Right?

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Speaker 4: I mean, you have to be honest with me.

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Speaker 5: People walk people in the White House. They woke up

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Speaker 5: to me, young ladies. I've never seen sir, thank you

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Speaker 5: very much. I know they don't even have to tell

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Speaker 5: me what they're thanking me for. But when I asked why,

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Speaker 5: he said one, you know, said I'd get into Uber

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Speaker 5: and I felt dangerous.

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Speaker 3: Even in Uber. They'd attacked the car.

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Speaker 5: Okay, it wasn't even safe.

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Speaker 3: Then.

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Speaker 5: Sarah now walked to work every day and I walked,

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Speaker 5: I'm so safe.

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Speaker 3: There's nothing going to happen, one hundred percent safe. And

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Speaker 3: you know that too.

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Speaker 7: Normal.

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Speaker 4: I want to ask you about that. You live here,

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Speaker 4: you know that too. I want to ask you about

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Speaker 4: difference American city in Washington.

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Speaker 8: D C.

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Speaker 4: I think I've been working too hard. I haven't been

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Speaker 4: out and about.

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Speaker 3: That's not a fair answer.

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Speaker 4: You see, I get in my car and I had

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Speaker 4: to use that one don't work. It's like, you know,

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Speaker 4: the different like day and night.

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Speaker 1: It's interesting that she she Clay a few years ago

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Speaker 1: or in an earlier era of sixty minutes and Trump

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Speaker 1: it would have been No, sir, Remember who was it

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Speaker 1: who did the This is CBS, and we can't verify

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Speaker 1: things like I think it was Leslie Stall who did

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Speaker 1: that whole thing the Trump during interview. Yes, we can't

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Speaker 1: say things that are not true. That they spied on

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Speaker 1: me was what Trump said, and that absolutely was true.

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Speaker 1: Now she has to sort of laugh it off with

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Speaker 1: like I work too much. No, Trump's idea is working

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Speaker 1: and she doesn't want to admit it, but she also

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Speaker 1: can't just blatantly lie about it.

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Speaker 2: Yes, and I saw they have posted it. This is

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Speaker 2: an example of what we were talking about in that

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Speaker 2: sixty minutes interview.

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Speaker 7: Buck.

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Speaker 2: They aired twenty seven minutes of the Trump interview. The

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Speaker 2: actual full length interview was seventy three minutes. So the

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Speaker 2: president of the United States talk to you for seventy

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Speaker 2: three minutes.

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Speaker 3: Good for CBS.

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Speaker 2: The change that has occurred since the last CBS interview

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Speaker 2: that I think is going to last long after Trump

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Speaker 2: is we're not going to claim that we have all

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Speaker 2: the control here and just make all the edits that

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Speaker 2: we want. We're going to show you the entirety of

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Speaker 2: this seventy three minute interview is all out there. If

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Speaker 2: you want to see Trump talk for seventy three minutes,

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Speaker 2: you have that ability. But think about the power that

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Speaker 2: they still have editorially to cut that to twenty seven minutes.

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Speaker 2: And I thought Trump handled that well. And to be

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Speaker 2: fair to Nora O'Donnell, as soon as she says the truth,

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Speaker 2: which is yeah, DC is way safer, people are going

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Speaker 2: to say, oh, she's in the tank for Trump, because

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Speaker 2: then she's endorsing his behavior in terms of calling out

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Speaker 2: the National Guard.

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Speaker 3: I read a big article though in.

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Speaker 2: The Wall Street Journal saying, Hey, this is absolutely fantastic

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Speaker 2: what's happening in Memphis, my home state. The number of

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Speaker 2: people out there that are really responding in a very

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Speaker 2: positive way is pretty pretty phenomenal. And I just think,

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Speaker 2: I mean again, for everybody out there that is living

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Speaker 2: in these cities Washington, DC, Memphis, very different cities, they're

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Speaker 2: way safer. And the concern for Democrats Buck is well,

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Speaker 2: if he's right, if he's what if he's right and

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Speaker 2: all of a sudden, violent crime is plummeting. Buck, I

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Speaker 2: watched did you see the video of the dad and

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Speaker 2: the little girl out trick or treating get carjacked in Chicago.

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Speaker 2: I don't know how many of you saw this video.

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Speaker 2: I think it's an Asian man. The video is like

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Speaker 2: a ring camera outside. He's got his the reports our

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Speaker 2: eight year old daughter. They pull up, they're just going

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Speaker 2: in the neighborhood. They park on the corner. Almost as

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Speaker 2: soon as they park, two guys come running up with

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Speaker 2: guns and take the take the car. This is a

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Speaker 2: dad in Chicago taking his little girl out trick or treating.

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Speaker 3: Again.

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Speaker 2: The video is out there for all of you to see.

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Speaker 2: You can watch him pull up and park his car,

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Speaker 2: and within a minute of him pulling up and parking

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Speaker 2: the car to start trick or treating, these guys come

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Speaker 2: running up with pistols and demand his keys. While at

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Speaker 2: everything else, It's all on a ring camera. And this

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Speaker 2: is just what people have grown used to experiencing. I

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Speaker 2: will say I saw a lot and this. A friend

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Speaker 2: of mine shared his own version of this. Because of

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Speaker 2: all these ring cameras, where where kids with the parents

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Speaker 2: pilfer Yes, the sun that says take one each, just

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Speaker 2: just fill their bags.

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Speaker 1: That that is disgusting. Dad is disgusting. I agree, and

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Speaker 1: and and the parents that are there for this stuff

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Speaker 1: should be a shame.

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Speaker 2: I suspect that has been happening for a long time,

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Speaker 2: but now that everybody has video on doorbell cameras, we

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Speaker 2: can see we should have some fun talking about that,

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Speaker 2: because I do think you might say, well, why does

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Speaker 2: that matter? I do think, particularly when the parents are involved,

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Speaker 2: it's just a sign of a low trust cultural society.

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Speaker 2: But you talked about in Taiwan, people leave their phones

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Speaker 2: to save their seats while they go to the bathroom,

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Speaker 2: and every parent. I've had to talk to my son

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Speaker 2: about this, Like he went to the bathroom recently and

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Speaker 2: I was like, no, that he left his phone on

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Speaker 2: the table and I said, you know, you can never

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Speaker 2: do that when you go to the bathroom. He's like, well,

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Speaker 2: I want the waitress to know that I'm still here

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Speaker 2: and that I haven't left, so she doesn't take my food.

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Speaker 2: I'm like, that makes total sense. I understand it. You

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Speaker 2: can never leave your cell phone on the table in

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Speaker 2: a restaurant in America because we live in unfortunately a

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Speaker 2: low trust society. I think stealing of all that candy,

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Speaker 2: like somebody just saying hey, please take one, and you

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Speaker 2: take the whole thing. It's evidence of a low trust

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Speaker 2: society and a culture that unfortunately is with a great

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Speaker 2: deal of rot.

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Speaker 1: Unfortunately bad cultures. One thing they all have in common

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Speaker 1: is they don't think about other people. It's true all

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Speaker 1: over the world right. A culture that is not something

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Speaker 1: that you want to emulate, does not care. It is inconsiderate.

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Speaker 1: That is one thing that they have in common. And

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Speaker 1: I will tell you when I was in Taiwan, I

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Speaker 1: thought when I was on the high speed train a

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Speaker 1: few times, one time I was going down to the

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Speaker 1: military base, I thought, Clay, I was in a quiet car,

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Speaker 1: which is a wonderful place of civilization on the Acella train.

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Speaker 1: For those of you who've ever taken that, it's like

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Speaker 1: the only profitable Amtrak corridor is Boston to DC and

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Speaker 1: they have this quiet car on that train. I wasn't

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Speaker 1: a quiet car. I was just in a car full

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Speaker 1: of Taiwanese people who are respectful and calm and don't

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Speaker 1: play speakerphone conversations out loud, and don't play music in

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Speaker 1: video games without headphones. Yeah, it's not a quiet car.

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Speaker 1: It's just a car full of Taiwanese people, and it

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Speaker 1: was really nice. And let me tell you this thing

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Speaker 1: that's going on in this country where people look, oh,

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Speaker 1: it's classist or whatever. It No, no, it's just manners.

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Speaker 1: It's just manners.

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Speaker 2: Well, it's an ability to understand that you aren't the

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Speaker 2: only person in the world. And I mean the older

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Speaker 2: I get, the more I look around. And culture explains

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Speaker 2: almost everything.

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Speaker 1: But high You mentioned high trust societies civilization, and a

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Speaker 1: high trust society within a civilization is premised upon it

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Speaker 1: can't just be about your needs. Yes, there have to

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Speaker 1: be other things. There are rules, there are laws, there

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Speaker 1: are social mores, there are other things that factor. Anyway,

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Speaker 1: who to the whole show on this, don't get me started.

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Speaker 1: The candy, the candy swindlers stealing all the candy at

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Speaker 1: once with their parents.

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Speaker 3: Appalling. It would also be interesting, buck Well, you got

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Speaker 3: to go to break.

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Speaker 2: But if you layered that over future success in life,

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Speaker 2: I bet the kids overwhelmingly underperformed because the culture that

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Speaker 2: their parents have created is one that allows that to occur,

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Speaker 2: and it's going to ultimately end up hurting the kids

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Speaker 2: in the years ahead. Look, I want to get you

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Speaker 9: Stories of Freedom, Stories of America, inspirational stories that you

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Speaker 2: Welcome back in Clay Travis buck Sexton Show. We are

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Speaker 2: breaking down Election day tomorrow and we are joined by

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Speaker 2: our friend Mark Simone Buck, I'm gonna hold up the

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Speaker 2: iPad here so you can wait, so you can wave

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Speaker 2: to him in studio right now. Oh, there he is, Yeah,

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Speaker 2: there is in New York in Miami. But you guys

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Speaker 2: have known each other for a long time. Let's start

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Speaker 2: off here, Mark, I was just talking about off the

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Speaker 2: air with you. You have done a lot of election

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Speaker 2: days in New York City over the years. How would

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Speaker 2: you break down the New Jersey race just across the

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Speaker 2: river here with so many people out and the close

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Speaker 2: race there, and what do you expect to see in

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Speaker 2: New York City big picture? Where are we about what

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Speaker 2: twelve hours or so until election day New Jersey.

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Speaker 7: You cannot predict it's so close, And don't trust these

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Speaker 7: public polls. These public poles are pretty cheap and flimsy,

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Speaker 7: so we can't tell by that it looks like it's deadlocked.

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Speaker 7: I would think that the campaign of Mikey Cheryl had

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Speaker 7: some serious internal polling and they panicked because Obama had

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Speaker 7: endorsed her a couple of weeks ago with a video

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Speaker 7: that was the endorsement. Now they called them in panic

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Speaker 7: to come running into New Jersey and go actually campaign

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Speaker 7: and hold rallies for her, so that means Chitdarelly was

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Speaker 7: very close, if not slightly ahead. One good thing about

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Speaker 7: New Jersey they never go three terms with any one party,

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Speaker 7: so they're due for a Republican switch now. They always

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Speaker 7: do that in New Jersey, and you got two candidates.

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Speaker 7: Chittarelli is a good candidate. Mikey Cheryl very very weak.

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Speaker 7: Her whole campaign is that she was in the Navy

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Speaker 7: and she flew a helicopter, and they even rented a

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Speaker 7: helicopter to show that she can fly a helicopter. I

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Speaker 7: don't know if this is even in the job description.

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Speaker 7: She should probably go join the state troopers. They have

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Speaker 7: helicopters they use. It doesn't mean as governor, but I

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Speaker 7: would think in the end Chitdarelli wins. It's deadl like,

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Speaker 7: but he always under polls, and everybody's got to get

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Speaker 7: out there and vote. In New Jersey, every Republican get

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Speaker 7: out there and vote. And again they always switch parties

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Speaker 7: every couple terms. So I think he wins that New

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Speaker 7: York Mayol race. Again, you can't tell it's we expected

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Speaker 7: seven eight hundred thousand votes in this election. We're already

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Speaker 7: at almost a million in the early voting. We'll get

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Speaker 7: a million tomorrow, it'll go over two million. The model

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Speaker 7: the pollsters used did not count on that at all.

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Speaker 7: Incredible turnout. Last time we saw a turnout like this

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Speaker 7: was like sixty years ago, John Lindsay, So it's hard

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Speaker 7: to say who are these extra people turning out? I

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Speaker 7: mean anecdotal evidences. They're older voters that tends to go

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Speaker 7: for Cuomo or Curtis. And again here's the other thing,

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Speaker 7: but the poles can't measure this. A lot of these

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Speaker 7: Mom Donnie voters are first time. They're not even on

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Speaker 7: the radar of posters. Posters wouldn't even know where to

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Speaker 7: find these people, so they're not counted in the Pulstar.

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Speaker 7: Anything can happen. I hate to be wishing.

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Speaker 1: I'm Mark, Yeah, Mark, I got to ask you about

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Speaker 1: this one as a South Florida resident. Now, this is

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Speaker 1: certainly on my radar. New York post Nearly a million

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Speaker 1: New Yorkers claim they are ready to flee New York

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Speaker 1: City if Mom Donnie becomes mayor. Seven hundred and sixty

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Speaker 1: five thousand of the eight and a half million residents

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Speaker 1: of New York City do you do you think they'll

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Speaker 1: be if Mom Donnie wins, which you know it could happen.

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Speaker 1: I know you're saying nobody knows it could happen. Do

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Speaker 1: you think they'll be an outflow from New York or

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Speaker 1: is this stuff all overblown?

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Speaker 7: If there is, then Mom Donnie at least will get

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Speaker 7: credit for solving the traffic problem here in New York.

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Speaker 3: Good luck there you go.

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Speaker 7: But already in the out of the suburbs of Connecticut,

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Speaker 7: we've already seen home people out there looking for homes

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Speaker 7: like crazy. Even the private schools in Connecticut have all

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Speaker 7: sorts of New York wor trying to register their kids.

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Speaker 7: So people are looking at it. You got to remember

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Speaker 7: under Cuomo we had the same problem. We lost a

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Speaker 7: few million people under Cuomo his bad policies, and in fact,

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Speaker 7: under Cuomo we lost four congressional seats and there was

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Speaker 7: one year where you couldn't get a moving van. There

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Speaker 7: was a shortage of them. So we've been through it before.

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Speaker 7: You gotta wait and see what happens if Mom Donnie wins.

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Speaker 7: I don't. I don't know. There may be people moving out,

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Speaker 7: but I think at a slower pace than you think.

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Speaker 7: And you read about these businesses, a big Wall Street

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Speaker 7: firms they're opening in Dallas, and most of that is

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Speaker 7: back office stuff that they would have been opening there anyway.

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Speaker 3: Now, what is your biggest concern?

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Speaker 7: Though?

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Speaker 3: If Mom Donnie wins.

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Speaker 1: One question we've been banning about here is what can

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Speaker 1: he really do that's really bad?

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Speaker 3: Right?

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Speaker 1: Some of the stuff that he's saying, it's like listening

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Speaker 1: to the guy who's running for student council president in

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Speaker 1: high school, who's like, and we're going to have like

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Speaker 1: a jacuzzi in every classroom, and you know, it's absurdly

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Speaker 1: not gonna happen.

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Speaker 3: But there are things that is mayrior be able to do.

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Speaker 1: What are the concerns that you have, Mark about if

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Speaker 1: this guy does end up as the mayor, he would

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Speaker 1: be able to really make a mess of things.

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Speaker 7: How Yeah, he has no control over the buses, that's

440
00:22:11,160 --> 00:22:13,800
Speaker 7: the state. He has no control over rent anything, taxes

441
00:22:13,840 --> 00:22:17,159
Speaker 7: is that's the city council. The one concern, and it's

442
00:22:17,240 --> 00:22:19,480
Speaker 7: the only one. The big one is the police department.

443
00:22:19,720 --> 00:22:22,159
Speaker 7: He could put in a really bad police commissioner, a

444
00:22:22,160 --> 00:22:25,480
Speaker 7: real left wing kook of a police commissioner who could

445
00:22:25,520 --> 00:22:28,239
Speaker 7: stop enforcing certain laws, pull back the police and all

446
00:22:28,320 --> 00:22:28,960
Speaker 7: kinds of things.

447
00:22:29,560 --> 00:22:31,600
Speaker 2: I'm glad you mentioned that, Mark, because I was reading

448
00:22:31,640 --> 00:22:32,480
Speaker 2: over the weekend.

449
00:22:33,000 --> 00:22:33,240
Speaker 3: Mom.

450
00:22:33,320 --> 00:22:36,240
Speaker 2: Donnie keeps saying I'm going to keep Jessica Tish in.

451
00:22:36,960 --> 00:22:38,760
Speaker 2: But then he got pressed on it. I don't know

452
00:22:38,760 --> 00:22:40,439
Speaker 2: if you saw this, Buck, because I know you've known

453
00:22:40,520 --> 00:22:43,639
Speaker 2: Jessica Tish for a long time. He got pressed on

454
00:22:43,720 --> 00:22:46,720
Speaker 2: it and he said, well, I haven't actually spoken to

455
00:22:46,760 --> 00:22:50,080
Speaker 2: her and asked her to stay. Yeah, so he keeps

456
00:22:50,119 --> 00:22:52,800
Speaker 2: saying to try to make people think, oh, she's done

457
00:22:52,800 --> 00:22:55,400
Speaker 2: a good job. New York is safer because she's arresting

458
00:22:55,440 --> 00:22:57,520
Speaker 2: people and she has done a really good job.

459
00:22:58,040 --> 00:23:00,600
Speaker 3: But Buck, he hasn't even spoke to her.

460
00:23:01,040 --> 00:23:04,040
Speaker 2: So, I mean, all the time you spend campaigning and

461
00:23:04,080 --> 00:23:07,040
Speaker 2: you've never been able or willing to go talk to

462
00:23:07,119 --> 00:23:10,240
Speaker 2: the head of the NYPD and ask her to stay on. Now,

463
00:23:10,520 --> 00:23:13,720
Speaker 2: the answer might be that if that were to occur,

464
00:23:13,880 --> 00:23:16,040
Speaker 2: she would say, well, it's inappropriate for me to talk

465
00:23:16,080 --> 00:23:18,919
Speaker 2: and accept jobs from people who haven't won offices, but

466
00:23:18,960 --> 00:23:21,119
Speaker 2: at a minimum, shouldn't he you have just conveyed that offer.

467
00:23:21,240 --> 00:23:22,920
Speaker 2: Don't you think that would make sense if he really

468
00:23:22,920 --> 00:23:24,200
Speaker 2: thought she was doing a great job.

469
00:23:24,280 --> 00:23:27,040
Speaker 7: Mark, We've all been at the radio stations where the

470
00:23:27,200 --> 00:23:29,920
Speaker 7: new owner comes in, we're going to keep everybody, Yeah,

471
00:23:29,920 --> 00:23:31,560
Speaker 7: and they do for about a month or two.

472
00:23:32,200 --> 00:23:33,480
Speaker 3: So that could be the case.

473
00:23:33,960 --> 00:23:35,480
Speaker 7: And there are a lot of people saying if he

474
00:23:35,640 --> 00:23:38,479
Speaker 7: starts playing around with the police department doing stuff like that,

475
00:23:38,800 --> 00:23:41,040
Speaker 7: she wouldn't stay. She wants to run for mayor someday.

476
00:23:41,280 --> 00:23:43,680
Speaker 7: So if she sees anything bad happening with the police department,

477
00:23:43,760 --> 00:23:46,040
Speaker 7: she will leave it immediately. She's not gonna get tied

478
00:23:46,080 --> 00:23:50,360
Speaker 7: to him. You know, we saw that with Deblasio, those

479
00:23:50,440 --> 00:23:53,360
Speaker 7: kind of you know, those crazy ideas of domestic violence,

480
00:23:53,359 --> 00:23:56,000
Speaker 7: which are the most dangerous calls having a social work

481
00:23:56,040 --> 00:23:59,119
Speaker 7: or respond you know, people don't point out the NYPD

482
00:23:59,240 --> 00:24:03,120
Speaker 7: has tested that about fifteen times over the last thirty

483
00:24:03,200 --> 00:24:05,320
Speaker 7: years and it always ends in dead social workers.

484
00:24:05,440 --> 00:24:09,200
Speaker 1: Yeah, yeah, that's not a surprise. I mean the emotionally

485
00:24:09,200 --> 00:24:13,320
Speaker 1: disturbed person EDP, which is the NYPD shorthand for it

486
00:24:13,400 --> 00:24:16,240
Speaker 1: is a call that cops get a lot, and it's

487
00:24:16,240 --> 00:24:18,720
Speaker 1: not an easy call if people don't even realize. Mark,

488
00:24:18,960 --> 00:24:21,680
Speaker 1: Sometimes a copp will show up and someone is suicidal,

489
00:24:21,680 --> 00:24:24,280
Speaker 1: whether they're gonna jump or they're gonna you know, take

490
00:24:24,320 --> 00:24:27,000
Speaker 1: their own life with a firearm. Sometimes they decide they're

491
00:24:27,000 --> 00:24:28,800
Speaker 1: gonna take somebody with them right before they go. So

492
00:24:28,840 --> 00:24:33,199
Speaker 1: it's actually a very high stress and difficult situation, very

493
00:24:33,240 --> 00:24:35,720
Speaker 1: dangerous situation. And to your point, the notion that you

494
00:24:35,720 --> 00:24:39,360
Speaker 1: would just send a social worker to try to tell somebody, hey,

495
00:24:39,359 --> 00:24:41,080
Speaker 1: you know, get away from the edge of the bridge.

496
00:24:41,640 --> 00:24:43,399
Speaker 1: Sometimes they grab people and try to pull them off

497
00:24:43,440 --> 00:24:45,040
Speaker 1: the edge of the bridge with them. So you know,

498
00:24:45,080 --> 00:24:46,840
Speaker 1: this is what the cops have to deal with on

499
00:24:46,920 --> 00:24:49,320
Speaker 1: unfortunately a far through regular basis. So we got the

500
00:24:49,359 --> 00:24:54,000
Speaker 1: Mamdani situation playing out here. Cuomo and Sliwa, how much

501
00:24:54,080 --> 00:24:57,000
Speaker 1: of sleewish staying in mark? I know, you know Curtis

502
00:24:57,040 --> 00:24:59,440
Speaker 1: personally well a long time. We had him on the

503
00:24:59,440 --> 00:25:02,360
Speaker 1: show last week he made his case and we heard

504
00:25:02,400 --> 00:25:04,840
Speaker 1: him out on this. How much of what we're seeing

505
00:25:04,960 --> 00:25:07,640
Speaker 1: is just these two guys just can't stand each other,

506
00:25:07,720 --> 00:25:07,960
Speaker 1: you know.

507
00:25:07,960 --> 00:25:11,639
Speaker 3: Cuomo and Cuomo and Sleeve. There's real personal beef.

508
00:25:12,320 --> 00:25:15,440
Speaker 7: Yeah, nobody likes Cuomo. They all everybody voting for will

509
00:25:15,440 --> 00:25:17,040
Speaker 7: tell you how much they hate this guy. He did

510
00:25:17,080 --> 00:25:19,520
Speaker 7: so much damage to New York Is because they hate

511
00:25:19,520 --> 00:25:22,080
Speaker 7: this guy. But it's like, what was that Remember the

512
00:25:22,119 --> 00:25:25,040
Speaker 7: election in the New Orleans where the guy was in prison.

513
00:25:25,080 --> 00:25:26,520
Speaker 7: He just got out of prison with the worst guy

514
00:25:26,560 --> 00:25:28,440
Speaker 7: in the world. But he was running against David Duke.

515
00:25:28,520 --> 00:25:32,120
Speaker 7: So you had to vote for this ex con. But Curtis.

516
00:25:33,200 --> 00:25:35,880
Speaker 7: I talked to Curtis earlier today. You know this thing

517
00:25:35,880 --> 00:25:38,040
Speaker 7: about getting out of the race a week ago. He

518
00:25:38,080 --> 00:25:39,879
Speaker 7: couldn't get out of the race if he wanted to.

519
00:25:39,920 --> 00:25:42,160
Speaker 7: He can't take his name off the ballot. And if

520
00:25:42,160 --> 00:25:44,920
Speaker 7: you look at the ballot, this is another problem. It's Mom,

521
00:25:45,000 --> 00:25:47,080
Speaker 7: Donnie and Curtis. Those are the two names at the

522
00:25:47,080 --> 00:25:49,600
Speaker 7: top of the ballot. Cuomo is eight spaces down. You

523
00:25:49,680 --> 00:25:51,600
Speaker 7: got to go hunt for him on the ballot. And

524
00:25:51,640 --> 00:25:53,840
Speaker 7: this whole thing is Culoma's fault. Had he been any

525
00:25:53,920 --> 00:25:56,159
Speaker 7: good in the primary, he would have beaten Mom Donnie.

526
00:25:56,480 --> 00:25:59,200
Speaker 7: Cuomo was a total disaster in the primary, got wiped

527
00:25:59,200 --> 00:26:02,560
Speaker 7: out into debates, never campaigned, so he got us in

528
00:26:02,560 --> 00:26:05,959
Speaker 7: this position. Curtis has been offered all kinds of bribes

529
00:26:06,000 --> 00:26:08,080
Speaker 7: to get out. The largest was ten million.

530
00:26:08,160 --> 00:26:10,199
Speaker 2: He told us that on the air last week. So

531
00:26:11,160 --> 00:26:13,639
Speaker 2: Buck asked a good like, let's pretend you've lived here

532
00:26:13,680 --> 00:26:17,560
Speaker 2: a long time. Let's say you wake up tomorrow morning. Uh,

533
00:26:18,000 --> 00:26:20,439
Speaker 2: and Mom Donnie goes and wins, and you wake up

534
00:26:20,480 --> 00:26:22,360
Speaker 2: on Wednesday, your thought is going to be.

535
00:26:22,359 --> 00:26:27,080
Speaker 7: What, Uh, well, at least we stopped Quick Show to talk.

536
00:26:27,280 --> 00:26:27,399
Speaker 5: Uh.

537
00:26:28,080 --> 00:26:31,320
Speaker 7: You know, actually we don't want Mom Donnie to win.

538
00:26:31,400 --> 00:26:33,120
Speaker 7: But for us, it would probably be the best thing.

539
00:26:33,160 --> 00:26:35,280
Speaker 7: We'd have plenty to talk about every day. It'd be

540
00:26:35,359 --> 00:26:37,560
Speaker 7: like the pandemic. You know, I got my highest ratings

541
00:26:37,640 --> 00:26:40,400
Speaker 7: during the pandemic. Yeah, people were terrified. They'd listen every

542
00:26:40,480 --> 00:26:42,800
Speaker 7: day to know what was Hpso yeah, we'd have our

543
00:26:42,800 --> 00:26:43,440
Speaker 7: greatest ratings.

544
00:26:43,440 --> 00:26:46,159
Speaker 2: Well, insanity was so rare, as Buck knows, living in

545
00:26:46,200 --> 00:26:49,160
Speaker 2: the New York City apartments, Like everybody was losing their

546
00:26:49,200 --> 00:26:52,080
Speaker 2: minds and there were very few people speaking saying but

547
00:26:52,200 --> 00:26:55,160
Speaker 2: so if he wins, Buck asked a version of this question.

548
00:26:55,240 --> 00:26:57,520
Speaker 2: But I do think what would be your positive? Do

549
00:26:57,560 --> 00:26:59,679
Speaker 2: you buy in to buy argument that it helps in

550
00:26:59,720 --> 00:27:04,280
Speaker 2: the governor's race potentially that that Kathy hokeel would have

551
00:27:04,320 --> 00:27:07,560
Speaker 2: an issue maybe with Elise Stephonic it hurts maybe nationally

552
00:27:07,600 --> 00:27:08,639
Speaker 2: in the House, in the Senate.

553
00:27:09,040 --> 00:27:09,800
Speaker 3: If he wins.

554
00:27:09,840 --> 00:27:12,000
Speaker 2: If Mamdanni, we wake up on Wednesday and he is

555
00:27:12,040 --> 00:27:15,040
Speaker 2: the is the elected mayor elect of New York City.

556
00:27:15,640 --> 00:27:16,760
Speaker 2: How do you been assessing?

557
00:27:16,880 --> 00:27:19,199
Speaker 7: Yeah, you're asolutely right. It's going to help everything, to

558
00:27:19,200 --> 00:27:21,639
Speaker 7: help the midterms, is gonna help Republicans to be great.

559
00:27:21,960 --> 00:27:24,400
Speaker 7: But we'll get wiped out. But it's like your whole

560
00:27:24,400 --> 00:27:26,640
Speaker 7: house burns down, But it's good for the fire department's

561
00:27:26,680 --> 00:27:30,240
Speaker 7: helping them. But I would tell people we got through

562
00:27:30,320 --> 00:27:33,480
Speaker 7: eight years of Deblasio. It was bad, but we got

563
00:27:33,480 --> 00:27:36,600
Speaker 7: through it in one piece. And most of the Mamdanni

564
00:27:36,680 --> 00:27:39,600
Speaker 7: team they're ex Deblasio team, so it'd be a lot

565
00:27:39,640 --> 00:27:40,480
Speaker 7: like Deblasio.

566
00:27:41,480 --> 00:27:43,600
Speaker 1: What would you say, Mark, because you were willing. I

567
00:27:43,600 --> 00:27:46,400
Speaker 1: remember we talked when Eric Adams first came into office.

568
00:27:46,680 --> 00:27:48,920
Speaker 1: You're willing to give him a chance to do good

569
00:27:48,920 --> 00:27:51,240
Speaker 1: things for the city. What would be your you know,

570
00:27:51,280 --> 00:27:54,480
Speaker 1: a to f your grade? He dropped out of the race.

571
00:27:54,520 --> 00:27:56,520
Speaker 1: He knows he can't win, so he's not gonna be

572
00:27:56,520 --> 00:27:59,800
Speaker 1: mayor anymore. Eric Adams all in grade as mayor for

573
00:27:59,840 --> 00:28:00,760
Speaker 1: this city of New York.

574
00:28:01,160 --> 00:28:03,320
Speaker 7: Well, it's the problem is too Eric Adams. The first

575
00:28:03,320 --> 00:28:06,399
Speaker 7: three years total disaster. He brought in the worst people,

576
00:28:06,440 --> 00:28:07,919
Speaker 7: most of them got indicted, arrested.

577
00:28:07,960 --> 00:28:08,680
Speaker 3: It was horrible.

578
00:28:09,280 --> 00:28:12,240
Speaker 7: He had some more police commissioners in three years than

579
00:28:12,240 --> 00:28:14,879
Speaker 7: we had in the last thirty. But then the final

580
00:28:14,920 --> 00:28:17,840
Speaker 7: year was great. He brought in Randy Mastro, who was

581
00:28:17,880 --> 00:28:20,800
Speaker 7: Giuliani's top guy at city Hall. He ran city Hall,

582
00:28:20,880 --> 00:28:22,960
Speaker 7: so he got best guy running city hall. He brought

583
00:28:22,960 --> 00:28:26,720
Speaker 7: in Jessica Tish, great police commissioner. In their first month,

584
00:28:26,800 --> 00:28:29,359
Speaker 7: she cleaned out all the corruption, got rid of twenty

585
00:28:29,440 --> 00:28:32,040
Speaker 7: or thirty major people there. So the last year he

586
00:28:32,080 --> 00:28:35,320
Speaker 7: gets an A plus, but the first three years he

587
00:28:35,359 --> 00:28:37,439
Speaker 7: gets a total F. So I don't know how he

588
00:28:37,480 --> 00:28:41,680
Speaker 7: agreed that if he had done that year two, he

589
00:28:41,720 --> 00:28:43,000
Speaker 7: would still be mayor today.

590
00:28:44,440 --> 00:28:46,320
Speaker 2: By the way, this is a bit funny, but Greg

591
00:28:46,400 --> 00:28:50,160
Speaker 2: Abbott just tweeted Buck after the polls close tomorrow night,

592
00:28:50,320 --> 00:28:54,240
Speaker 2: I will impose a one tariff on anyone moving to

593
00:28:54,320 --> 00:28:59,440
Speaker 2: Texas from New York City. So look, I mean where

594
00:28:59,480 --> 00:29:01,960
Speaker 2: Buck is out in Florida, where I am in Tennessee.

595
00:29:02,000 --> 00:29:03,040
Speaker 3: I gotta be honest with you.

596
00:29:03,840 --> 00:29:05,920
Speaker 2: I think there's gonna be d to Texas where the

597
00:29:05,920 --> 00:29:08,040
Speaker 2: Governor Abbitt is. I think there's gonna be a lot

598
00:29:08,080 --> 00:29:10,880
Speaker 2: of New Yorker saying heck, I'm gonna get screwed here.

599
00:29:11,000 --> 00:29:14,480
Speaker 2: Why am I paying fourteen percent State income tax when

600
00:29:14,520 --> 00:29:17,240
Speaker 2: places like Tennessee, Texas and Florida have none, and heck,

601
00:29:17,600 --> 00:29:20,440
Speaker 2: buck may not even have property taxes. Soon they're talking

602
00:29:20,440 --> 00:29:23,960
Speaker 2: about doing away with them completely in Florida, which is

603
00:29:24,040 --> 00:29:25,320
Speaker 2: just another sales point.

604
00:29:25,520 --> 00:29:28,520
Speaker 1: We should just make him emperor, just Santis to Florida forever.

605
00:29:28,720 --> 00:29:30,200
Speaker 1: You know, it's just a governor. It's okay.

606
00:29:30,360 --> 00:29:33,520
Speaker 3: Just make him emperor just Stantis to Florida would be fabulous. Mark.

607
00:29:33,560 --> 00:29:34,880
Speaker 1: We'll have to check in with you and see how

608
00:29:34,880 --> 00:29:37,320
Speaker 1: this all goes tomorrow, but thank you for sharing the expertise.

609
00:29:37,360 --> 00:29:38,720
Speaker 3: Always appreciate your perspective.

610
00:29:38,840 --> 00:29:40,480
Speaker 7: All right, thanks for the great show every day.

611
00:29:42,080 --> 00:29:45,160
Speaker 1: For all the cell phone rather for all the holiday

612
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Speaker 1: two five zero, say Clay and Buck.

632
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Speaker 9: Two guys walk up to a mic Hey Anything goes

633
00:30:45,960 --> 00:30:49,880
Speaker 9: Clay Travis and Buck Sexton. Find them on the free

634
00:30:49,920 --> 00:30:53,320
Speaker 9: iHeartRadio app or wherever you get your podcasts.

635
00:30:53,640 --> 00:30:58,320
Speaker 2: Welcome in our number three Clay Travis Buck Sexton show.

636
00:30:58,400 --> 00:31:03,080
Speaker 2: It is election eve in New York City, in New Jersey,

637
00:31:03,240 --> 00:31:07,920
Speaker 2: in Virginia, vote vote, vote New Jersey potentially going to

638
00:31:07,960 --> 00:31:12,240
Speaker 2: come down to a razor's edge Virginia, particularly AG's race

639
00:31:12,840 --> 00:31:18,320
Speaker 2: razor edge as we speak, record potentially high turnout. We're

640
00:31:18,320 --> 00:31:22,760
Speaker 2: going to talk to Ryan Gerdusky tomorrow Buck on the program,

641
00:31:22,800 --> 00:31:28,360
Speaker 2: which will be election day. But he tweeted yesterday. We

642
00:31:28,640 --> 00:31:32,560
Speaker 2: very well may be hitting more than two million votes

643
00:31:32,640 --> 00:31:37,080
Speaker 2: by Tuesday night in New York City, the biggest mayoral

644
00:31:37,320 --> 00:31:39,840
Speaker 2: election in New.

645
00:31:39,760 --> 00:31:41,120
Speaker 3: York City history.

646
00:31:41,720 --> 00:31:44,240
Speaker 2: So it makes it a little bit difficult to know

647
00:31:44,560 --> 00:31:47,240
Speaker 2: exactly what is going to happen, because, as you just

648
00:31:47,320 --> 00:31:50,520
Speaker 2: heard Mark Simone talking with us, when you get into

649
00:31:50,720 --> 00:31:54,920
Speaker 2: record high turnout, motivation is high, there are a lot

650
00:31:54,960 --> 00:31:58,040
Speaker 2: of people that haven't been polled, a lot of people, frankly,

651
00:31:58,360 --> 00:32:02,040
Speaker 2: that have not voted before. We've seen this in nationwide elections.

652
00:32:02,520 --> 00:32:06,239
Speaker 2: Trump brought out a lot of people, frankly, that we

653
00:32:06,280 --> 00:32:09,360
Speaker 2: didn't even know we're going to vote. The same thing

654
00:32:09,440 --> 00:32:13,520
Speaker 2: happened with Barack Obama. When you go back to that

655
00:32:13,600 --> 00:32:18,640
Speaker 2: election twenty twenty, Joe Biden brought out a lot of

656
00:32:18,640 --> 00:32:22,720
Speaker 2: people that may not even exist. Because I think more

657
00:32:22,760 --> 00:32:25,320
Speaker 2: and more even Democrats are looking at the eighty one

658
00:32:25,360 --> 00:32:26,480
Speaker 2: million votes and they're.

659
00:32:26,280 --> 00:32:29,880
Speaker 3: Saying, really, really eighty one million, But.

660
00:32:30,240 --> 00:32:32,280
Speaker 2: We want all of you to get out and vote

661
00:32:32,360 --> 00:32:37,200
Speaker 2: New York, New Jersey, New York City, New Jersey, and Virginia,

662
00:32:38,040 --> 00:32:40,720
Speaker 2: and we will be breaking down all of that.

663
00:32:40,760 --> 00:32:42,640
Speaker 3: Eight hundred and two to two eight a two. You

664
00:32:42,680 --> 00:32:43,760
Speaker 3: can react to that.

665
00:32:44,160 --> 00:32:47,120
Speaker 2: I want to say something off the top here, Buck,

666
00:32:47,160 --> 00:32:51,040
Speaker 2: as we are looking at these numbers you were talking about.

667
00:32:52,280 --> 00:32:55,600
Speaker 2: You're talking about New York the Halloween, and there are

668
00:32:55,680 --> 00:33:00,200
Speaker 2: tons of videos that are going viral of the so called,

669
00:33:00,280 --> 00:33:04,160
Speaker 2: you know, sort of Halloween porch pirates on Friday, the

670
00:33:04,240 --> 00:33:08,080
Speaker 2: number of people that left out treats. This happened even

671
00:33:08,080 --> 00:33:10,840
Speaker 2: in my own neighborhood. Some My wife was showing me

672
00:33:10,840 --> 00:33:13,800
Speaker 2: some of these videos and kids, a lot of times

673
00:33:13,840 --> 00:33:17,719
Speaker 2: teenagers frankly, who sometimes make, as all of you well remember,

674
00:33:17,760 --> 00:33:22,560
Speaker 2: moronic decisions, but also parents that are involved. Here and

675
00:33:22,800 --> 00:33:25,120
Speaker 2: right off the top, we had our last Halloween in

676
00:33:25,160 --> 00:33:27,840
Speaker 2: the Travis house. We have been in the same house

677
00:33:27,880 --> 00:33:31,760
Speaker 2: for a decade. I just posted a photo gave out

678
00:33:31,880 --> 00:33:37,040
Speaker 2: seventeen bottles of fireball shots to all the moms and

679
00:33:37,120 --> 00:33:40,320
Speaker 2: dads the neighborhood that we lived in in Franklin, Tennessee.

680
00:33:40,440 --> 00:33:42,120
Speaker 2: I can say it now, I think I don't know

681
00:33:42,120 --> 00:33:43,040
Speaker 2: that I ever said it before.

682
00:33:43,160 --> 00:33:43,760
Speaker 3: West Haven.

683
00:33:44,320 --> 00:33:47,080
Speaker 2: You've been there, Buck, one of the greatest neighborhoods I

684
00:33:47,120 --> 00:33:51,040
Speaker 2: think in the entirety of the United States. After a decade,

685
00:33:51,040 --> 00:33:54,160
Speaker 2: are moving not going to do Halloween there anymore. But

686
00:33:54,360 --> 00:33:57,480
Speaker 2: Halloween has been phenomenal, thanks to everybody who has been

687
00:33:57,520 --> 00:34:00,520
Speaker 2: so great to my family for over a decade of

688
00:34:00,560 --> 00:34:05,000
Speaker 2: living there. Super sad yesterday when I left, because you know,

689
00:34:05,000 --> 00:34:07,080
Speaker 2: you raise your family in a house, at some point

690
00:34:07,120 --> 00:34:08,920
Speaker 2: you're going to be in this experience. You got a

691
00:34:08,960 --> 00:34:12,280
Speaker 2: six month old we moved into that house. My youngest

692
00:34:12,560 --> 00:34:16,160
Speaker 2: was in in a crib. He now is in fifth grade.

693
00:34:17,000 --> 00:34:20,920
Speaker 2: So it's just been in a tremendous experience there. I

694
00:34:20,960 --> 00:34:24,040
Speaker 2: would describe where I lived as, generally speaking, a high

695
00:34:24,120 --> 00:34:28,160
Speaker 2: trust community where everybody looks after everybody else's kids and

696
00:34:28,200 --> 00:34:30,920
Speaker 2: it's a fantastic place to live as a result, and

697
00:34:30,960 --> 00:34:34,279
Speaker 2: everybody comes around and mostly with the parents, you take

698
00:34:34,400 --> 00:34:38,239
Speaker 2: one little piece of candy at a time. But as

699
00:34:38,280 --> 00:34:43,080
Speaker 2: you see all of these different stories about these ring

700
00:34:43,200 --> 00:34:46,840
Speaker 2: cameras and everybody coming along and just dumping the entire

701
00:34:46,960 --> 00:34:51,200
Speaker 2: thing into their bag. I do think this is culture, buck,

702
00:34:51,800 --> 00:34:56,000
Speaker 2: and when you lose culture, you lose the country. And

703
00:34:56,040 --> 00:34:58,200
Speaker 2: it might sound small, but I do think it's a

704
00:34:58,239 --> 00:35:02,520
Speaker 2: metaphor of a low trust society that unfortunately exists in

705
00:35:02,600 --> 00:35:03,640
Speaker 2: much of America now.

706
00:35:04,239 --> 00:35:08,759
Speaker 1: But we're just talking about the circulation of videos all

707
00:35:08,800 --> 00:35:14,600
Speaker 1: over the country. Remember these are usually with parents present.

708
00:35:14,680 --> 00:35:17,080
Speaker 1: That's the part. That's the part that I think is signiful.

709
00:35:17,760 --> 00:35:21,200
Speaker 1: So there are parents who are watching their kids. Now,

710
00:35:21,280 --> 00:35:23,600
Speaker 1: now let's like work through this process for a second.

711
00:35:23,600 --> 00:35:28,680
Speaker 1: They're watching their children maybe you know, eleven, twelve, thirteen.

712
00:35:28,719 --> 00:35:30,759
Speaker 1: It's really not like young kids.

713
00:35:30,520 --> 00:35:31,239
Speaker 3: That are doing this.

714
00:35:31,440 --> 00:35:34,279
Speaker 1: It's not five year olds. It's you know, ten, eleven, twelve,

715
00:35:34,320 --> 00:35:38,160
Speaker 1: thirteen year olds, maybe fourteen year olds that are just

716
00:35:38,440 --> 00:35:42,400
Speaker 1: pillaging the take one piece of candy for yourself. Why

717
00:35:42,560 --> 00:35:44,760
Speaker 1: is that the rule or why is that the request

718
00:35:45,320 --> 00:35:46,800
Speaker 1: so that other people.

719
00:35:46,480 --> 00:35:47,759
Speaker 3: Can get their candy? Right?

720
00:35:47,800 --> 00:35:51,000
Speaker 1: It's very and also you see these kids, it's not

721
00:35:51,040 --> 00:35:53,520
Speaker 1: like they're taking a handful and we're saying, oh, they're

722
00:35:53,520 --> 00:35:55,640
Speaker 1: only supposed to take one, okay, a handful, spine, No

723
00:35:55,640 --> 00:35:58,719
Speaker 1: one's got a problem with that. There are videos with

724
00:35:58,880 --> 00:36:01,839
Speaker 1: parents watching, okay, the parents of these kids where they

725
00:36:01,840 --> 00:36:05,879
Speaker 1: take like the candy bull and they jump the whole thing, yes,

726
00:36:06,000 --> 00:36:06,279
Speaker 1: you know.

727
00:36:06,719 --> 00:36:08,520
Speaker 3: Five pounds of candy.

728
00:36:08,840 --> 00:36:11,200
Speaker 1: They dump it into their bag and they're kind of

729
00:36:11,280 --> 00:36:13,960
Speaker 1: laughing and gleeful about this and then they you know,

730
00:36:14,080 --> 00:36:18,680
Speaker 1: hurriedly walk away and it's just a disgrace. It's disgusting,

731
00:36:19,280 --> 00:36:22,160
Speaker 1: and you know, this is one of these things. You

732
00:36:22,239 --> 00:36:24,479
Speaker 1: see what you see? You know, we're in this era

733
00:36:24,600 --> 00:36:28,040
Speaker 1: where there's video of that over the place and everywhere

734
00:36:28,080 --> 00:36:32,359
Speaker 1: of everything, and uh, you know, people, we should bring

735
00:36:32,440 --> 00:36:35,239
Speaker 1: back shame a little bit in this country. Like if

736
00:36:35,280 --> 00:36:37,640
Speaker 1: you're doing this stuff and people know and your neighbors know,

737
00:36:37,800 --> 00:36:40,680
Speaker 1: like you should feel ashamed. I agree, it should be shamed.

738
00:36:40,719 --> 00:36:43,920
Speaker 1: You should apologize. You know, there's all these I remember

739
00:36:43,960 --> 00:36:46,480
Speaker 1: even near me where there was all the theft going

740
00:36:46,520 --> 00:36:48,480
Speaker 1: on Clay there was a grocery store near me that

741
00:36:48,560 --> 00:36:52,200
Speaker 1: had the photos of the of the repeat shoplifters and

742
00:36:52,239 --> 00:36:54,120
Speaker 1: there have been efforts to sue them.

743
00:36:54,560 --> 00:36:56,440
Speaker 3: How dare you and you know you're not allowed to

744
00:36:56,440 --> 00:37:00,000
Speaker 3: show this. It's like, why are people okay with it?

745
00:37:00,440 --> 00:37:03,400
Speaker 1: This is this should be something that we all are

746
00:37:03,800 --> 00:37:06,919
Speaker 1: clearly against and it's just a shame that it's something

747
00:37:06,920 --> 00:37:09,719
Speaker 1: that should be as joyful and innocent as you know

748
00:37:09,920 --> 00:37:13,640
Speaker 1: Halloween trick or treating. There are people who are being

749
00:37:13,680 --> 00:37:16,359
Speaker 1: really gross about the whole thing, A lot of them

750
00:37:16,360 --> 00:37:18,080
Speaker 1: by it. If this isn't like one person, there's a

751
00:37:18,080 --> 00:37:20,440
Speaker 1: lot of this going on, No, I think totally.

752
00:37:20,520 --> 00:37:23,879
Speaker 2: And people can say, wow, what's the significance you know

753
00:37:23,960 --> 00:37:29,480
Speaker 2: of this. I do think it is representative of low

754
00:37:29,600 --> 00:37:33,279
Speaker 2: trust in culture. And I talked about in Chicago, dad

755
00:37:33,280 --> 00:37:35,839
Speaker 2: and daughter going out trick or treating. Dad pulls up

756
00:37:35,840 --> 00:37:39,480
Speaker 2: in a car and instantly the car gets stolen. Somebody

757
00:37:39,560 --> 00:37:41,480
Speaker 2: runs up with a gun, puts it in his face,

758
00:37:41,560 --> 00:37:43,760
Speaker 2: just trying to take the little girl out trick or treating.

759
00:37:44,360 --> 00:37:47,760
Speaker 2: And I do think that what you will see likely

760
00:37:47,800 --> 00:37:51,840
Speaker 2: occur is the parents that are allowing this to happen,

761
00:37:52,000 --> 00:37:55,400
Speaker 2: and even encouraging it to happen, have raised kids that

762
00:37:55,440 --> 00:37:57,160
Speaker 2: are going to have a lot of issues in the

763
00:37:57,239 --> 00:38:01,960
Speaker 2: years ahead because they have lost the ability to interact

764
00:38:02,080 --> 00:38:05,680
Speaker 2: in an honest culture. And to your point, teenagers do

765
00:38:05,840 --> 00:38:10,880
Speaker 2: stupid things, and so to me, the parents watching it

766
00:38:10,960 --> 00:38:14,239
Speaker 2: and even encouraging it is a substantial part of this.

767
00:38:14,920 --> 00:38:18,440
Speaker 2: But I think it speaks also to and I know

768
00:38:18,480 --> 00:38:20,759
Speaker 2: there are strict moms, but we had a big conversation

769
00:38:20,840 --> 00:38:24,600
Speaker 2: about this. I think it speaks also to a lot

770
00:38:24,600 --> 00:38:30,120
Speaker 2: of times dads are enforcers in households. You know, particularly

771
00:38:30,160 --> 00:38:34,880
Speaker 2: young men boys, they respond to dad as a household

772
00:38:34,960 --> 00:38:37,839
Speaker 2: influencer more than they do to mom. That doesn't mean

773
00:38:37,840 --> 00:38:41,239
Speaker 2: that moms out there aren't often forced to do incredible

774
00:38:41,320 --> 00:38:45,000
Speaker 2: job both raising, trying to play the role of both

775
00:38:45,080 --> 00:38:48,319
Speaker 2: parents because a lot of men are absent. But this

776
00:38:48,400 --> 00:38:50,640
Speaker 2: reminds me Buck of do you remember the big study

777
00:38:50,640 --> 00:38:52,080
Speaker 2: they did. This is why I think it would be

778
00:38:52,080 --> 00:38:54,680
Speaker 2: true if you could run out for years. One of

779
00:38:54,719 --> 00:38:58,480
Speaker 2: the best signs of your ability to succeed in life

780
00:38:58,920 --> 00:39:00,920
Speaker 2: is can you defer rewards?

781
00:39:01,840 --> 00:39:04,600
Speaker 1: And they have that great is the like either it's

782
00:39:04,719 --> 00:39:09,280
Speaker 1: a donut or a cookie. Marshmallows was the initial one

783
00:39:09,640 --> 00:39:12,800
Speaker 1: they tell you for those of you haven't seen this study,

784
00:39:12,800 --> 00:39:16,600
Speaker 1: and they actually have funny videos of this of little

785
00:39:16,680 --> 00:39:20,759
Speaker 1: kids trying to avoid a treat, right, and they basically

786
00:39:20,800 --> 00:39:22,640
Speaker 1: come in and they say, hey, if you can wait

787
00:39:22,680 --> 00:39:26,400
Speaker 1: a certain amount of time, will give you two. And

788
00:39:26,480 --> 00:39:29,240
Speaker 1: so there's a treat on the table and it's sometimes

789
00:39:29,239 --> 00:39:32,279
Speaker 1: a cookie donut. I think it started with marshmallows, and

790
00:39:32,360 --> 00:39:34,680
Speaker 1: they'll be like, hey, little kid, if you can wait,

791
00:39:35,320 --> 00:39:36,640
Speaker 1: then we'll give you double.

792
00:39:37,440 --> 00:39:40,239
Speaker 2: And what they have been able to find is the

793
00:39:40,360 --> 00:39:44,880
Speaker 2: kids that are able to defer the reward have overwhelmingly

794
00:39:45,080 --> 00:39:48,680
Speaker 2: higher levels of success than the kids who take the

795
00:39:48,719 --> 00:39:52,759
Speaker 2: immediate gratification in front of them. And to me, this

796
00:39:52,920 --> 00:39:55,640
Speaker 2: is a sign of that, right. Hey, you're still gonna

797
00:39:55,640 --> 00:39:57,960
Speaker 2: get a lot of candy. I mean, my son came

798
00:39:58,000 --> 00:40:02,319
Speaker 2: home with a a pillowcase full of candy. But you

799
00:40:02,400 --> 00:40:04,080
Speaker 2: have to put in the time to go from one

800
00:40:04,120 --> 00:40:06,959
Speaker 2: house to another, or you can run up and dump

801
00:40:07,000 --> 00:40:09,280
Speaker 2: the whole thing in at once. I think you're gonna

802
00:40:09,280 --> 00:40:13,640
Speaker 2: see that the life results are actually negative for the

803
00:40:13,719 --> 00:40:14,600
Speaker 2: kids that are doing this.

804
00:40:15,000 --> 00:40:23,200
Speaker 1: There's also very clear, very clear data on delaying gratification

805
00:40:23,480 --> 00:40:24,440
Speaker 1: and IQ level.

806
00:40:24,840 --> 00:40:26,480
Speaker 3: So now you start to get it to this part

807
00:40:26,480 --> 00:40:27,680
Speaker 3: of the conversation as well.

808
00:40:28,120 --> 00:40:32,080
Speaker 1: Higher IQ corresponds directly with a greater likelihood to be

809
00:40:32,080 --> 00:40:37,520
Speaker 1: willing to delay gratification for better reward. So this is true.

810
00:40:37,800 --> 00:40:40,400
Speaker 1: Any of you can you can check this out. Dumber

811
00:40:40,440 --> 00:40:41,680
Speaker 1: people want it right now?

812
00:40:42,000 --> 00:40:45,800
Speaker 3: Yeah? Just true? No, I mean, look and look.

813
00:40:45,840 --> 00:40:49,080
Speaker 2: For being a parent, I would argue one of the

814
00:40:49,120 --> 00:40:52,719
Speaker 2: most important things you do as a parent is teach

815
00:40:52,760 --> 00:40:55,760
Speaker 2: your kids to play the long game. Get good grades

816
00:40:55,800 --> 00:40:58,879
Speaker 2: in school. Do you get immediate gratification because you make

817
00:40:58,920 --> 00:41:02,000
Speaker 2: good grades in school in eighth grade? Not necessarily do

818
00:41:02,040 --> 00:41:07,000
Speaker 2: you get immediate gratification for doing your homework every single night,

819
00:41:07,160 --> 00:41:11,279
Speaker 2: for showing up at class, for taking tough courses, not immediately,

820
00:41:11,840 --> 00:41:15,640
Speaker 2: but you play the long game and overtime, good decisions

821
00:41:15,760 --> 00:41:19,239
Speaker 2: lead to better outcomes. And this is a big part,

822
00:41:19,640 --> 00:41:22,440
Speaker 2: you know, candidly, of what I wrote about. And I'm

823
00:41:22,480 --> 00:41:24,799
Speaker 2: asking you to go buy the book. To buy the

824
00:41:24,840 --> 00:41:29,400
Speaker 2: book Balls. It's all about how do we raise better, younger,

825
00:41:29,600 --> 00:41:35,440
Speaker 2: more successful men. And this is something that I spend

826
00:41:35,440 --> 00:41:37,160
Speaker 2: a lot of time thinking about. And when I saw

827
00:41:37,239 --> 00:41:40,680
Speaker 2: these videos of these porch pirates stealing all the candy,

828
00:41:41,800 --> 00:41:45,080
Speaker 2: I couldn't help but think there's a lot of absent dads,

829
00:41:45,120 --> 00:41:48,880
Speaker 2: I bet, and moms, but particularly dads when it comes

830
00:41:48,920 --> 00:41:52,640
Speaker 2: to bad behavior by kids. So you got to be shameless.

831
00:41:52,960 --> 00:41:55,440
Speaker 2: The book is out tomorrow. I asked you in the

832
00:41:55,440 --> 00:41:57,799
Speaker 2: first hour I'm gonna talk about it tomorrow. Can you

833
00:41:57,920 --> 00:42:01,480
Speaker 2: drive this to the top ten best sellers on Amazon.

834
00:42:02,239 --> 00:42:04,520
Speaker 2: That would mean a tremendous amount to me, all of

835
00:42:04,560 --> 00:42:08,000
Speaker 2: the proceeds going to charity. Just got to sell the

836
00:42:08,040 --> 00:42:10,360
Speaker 2: book is Balls. I'm holding it up on the video

837
00:42:10,400 --> 00:42:12,560
Speaker 2: feed from our New York City studio. You're gonna see

838
00:42:12,560 --> 00:42:16,200
Speaker 2: me all over Fox News selling this book. But it

839
00:42:16,200 --> 00:42:19,080
Speaker 2: would mean a lot to me if you guys would

840
00:42:19,120 --> 00:42:21,080
Speaker 2: go buy a copy and give it to someone else.

841
00:42:21,160 --> 00:42:23,160
Speaker 2: Buy a copy for somebody that you think needs some

842
00:42:23,239 --> 00:42:29,120
Speaker 2: balls in their life either metaphorically speaking. Again, it's everywhere.

843
00:42:29,160 --> 00:42:32,440
Speaker 2: It's gonna be in every bookstore. My name Clay Travis.

844
00:42:32,480 --> 00:42:35,160
Speaker 2: The book is Balls. Please go buy it. Buck's gonna

845
00:42:35,200 --> 00:42:39,600
Speaker 2: have a book out uh in January. I'm told the

846
00:42:39,600 --> 00:42:42,240
Speaker 2: publisher is very happy I bought a copy of Balls.

847
00:42:42,360 --> 00:42:44,600
Speaker 2: I got Balls on the Way. You got Balls on

848
00:42:44,640 --> 00:42:47,640
Speaker 2: the Way? Is a roommate who loves Polish sausages. Told him, Hey,

849
00:42:47,640 --> 00:42:49,080
Speaker 2: you might as well add some balls to it too.

850
00:42:49,160 --> 00:42:50,640
Speaker 2: You know, I'm gonna throw this out there because I

851
00:42:50,640 --> 00:42:52,680
Speaker 2: didn't want to. I didn't want to start this once again,

852
00:42:53,320 --> 00:42:55,960
Speaker 2: because he actually is a real roommate from the Chicago area.

853
00:42:56,480 --> 00:42:56,600
Speaker 5: Uh.

854
00:42:57,160 --> 00:42:59,320
Speaker 3: He also was a robe guy, which maybe is not

855
00:42:59,480 --> 00:43:01,359
Speaker 3: surprised Polish.

856
00:43:01,080 --> 00:43:03,799
Speaker 2: Sauceage guy being a robe guy. I mean I think that,

857
00:43:04,000 --> 00:43:04,279
Speaker 2: you know.

858
00:43:04,520 --> 00:43:06,799
Speaker 1: I would just saying he also would walk around our

859
00:43:06,840 --> 00:43:10,240
Speaker 1: dorm room in a row or you know, our dorm

860
00:43:10,239 --> 00:43:12,760
Speaker 1: housing in a robe all the time. So Polish sausage

861
00:43:12,800 --> 00:43:14,680
Speaker 1: and robe they can go hand in hand, you never know.

862
00:43:15,440 --> 00:43:17,120
Speaker 1: By the way, we need to talk about this too.

863
00:43:18,480 --> 00:43:20,759
Speaker 2: I bet a lot of our listeners are caught up

864
00:43:20,880 --> 00:43:24,399
Speaker 2: in air traffic control. I'm just seeing Houston has told

865
00:43:24,440 --> 00:43:27,520
Speaker 2: people you may have a three hour wait to get

866
00:43:27,560 --> 00:43:32,000
Speaker 2: through TSAH Buck I traveled. I was trying to come

867
00:43:32,000 --> 00:43:36,640
Speaker 2: back from Chicago on Friday. This is if you're out

868
00:43:36,640 --> 00:43:39,600
Speaker 2: there and you're not a federal employee. I think some

869
00:43:39,760 --> 00:43:43,920
Speaker 2: of the situations right now with delays has turned into

870
00:43:44,320 --> 00:43:48,880
Speaker 2: a crazy city. You know who I saw actually Sunday

871
00:43:48,920 --> 00:43:52,080
Speaker 2: as I was traveling to New York City, our friend Margo,

872
00:43:52,200 --> 00:43:53,720
Speaker 2: President Trump's top assistant.

873
00:43:53,760 --> 00:43:55,160
Speaker 3: I come right through security.

874
00:43:55,680 --> 00:43:58,640
Speaker 2: She is awesome, does incredible behind the scenes work for

875
00:43:58,880 --> 00:44:02,200
Speaker 2: President Trump. She just got back from Asia and she

876
00:44:02,440 --> 00:44:05,560
Speaker 2: was at the Ohio State football game over the weekend.

877
00:44:05,719 --> 00:44:08,640
Speaker 2: And I come through security. It's TSA as kind of

878
00:44:08,640 --> 00:44:12,400
Speaker 2: a mess everywhere. Boom, Marco who does Marco Martin, who

879
00:44:12,400 --> 00:44:15,080
Speaker 2: does incredible work for President Trump? Right there in the

880
00:44:15,160 --> 00:44:19,399
Speaker 2: Nashville airport. But this is the lead story right now

881
00:44:19,480 --> 00:44:25,160
Speaker 2: on CNN travel misery. As people are having issues with

882
00:44:25,280 --> 00:44:29,200
Speaker 2: TSA air traffic control. They shut down Nashville's airport on

883
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Speaker 2: Friday for several hours over this. This is where I

884
00:44:32,200 --> 00:44:34,759
Speaker 2: think a lot of people are starting to get very,

885
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Speaker 2: very frustrated. About the shut down because it starts to

886
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Speaker 2: impact their individual lives.

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Speaker 1: Take the worry out of feeling vulnerable in your own home.

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890
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Speaker 1: which will stop that intruder or attacker in his tracks

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Speaker 1: in those moments when someone invades their home. This is

899
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Speaker 1: what you need, something that's easy and straightforward and effective.

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Speaker 1: Sabers projectiles pack a serious non lethal punch, creating a

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Speaker 1: Go to saberradio dot com, say fifteen percent of that

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904
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Speaker 1: four four A two four safe eight four four A

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906
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Speaker 9: News you can count on and some laughs too.

907
00:45:49,080 --> 00:45:51,080
Speaker 3: Clay Travis at buck Sexton.

908
00:45:51,200 --> 00:45:54,520
Speaker 9: Find them on the free iHeartRadio app or wherever you

909
00:45:54,640 --> 00:45:55,759
Speaker 9: get your podcasts.

910
00:45:56,080 --> 00:45:59,839
Speaker 2: Welcome back in Clay Travis buck Sexton Show Monday at

911
00:45:59,960 --> 00:46:03,440
Speaker 2: yition of the program. I just took a picture of it,

912
00:46:03,520 --> 00:46:06,520
Speaker 2: so I have it on my phone. Buck Final New

913
00:46:06,640 --> 00:46:12,160
Speaker 2: York City mayoral poll from Atlas Intel. They have an

914
00:46:12,239 --> 00:46:15,839
Speaker 2: A plus rating in terms of they have been one

915
00:46:15,880 --> 00:46:19,320
Speaker 2: of the more reliable polls out there. Their final poll,

916
00:46:19,480 --> 00:46:25,560
Speaker 2: Mom Donni forty four percent, Andrew Cuomo thirty nine percent,

917
00:46:26,280 --> 00:46:30,839
Speaker 2: Curtis Sliwa fifteen and a half percent. According to them,

918
00:46:32,080 --> 00:46:36,640
Speaker 2: without Sliwa in the race, Cuomo would be winning by

919
00:46:37,239 --> 00:46:41,439
Speaker 2: five points over Mam Donni. So we may well wake

920
00:46:41,560 --> 00:46:45,160
Speaker 2: up on Wednesday as we talked last week with Curtis Sliwa,

921
00:46:45,719 --> 00:46:49,760
Speaker 2: and the results may be that if Sliwa had chosen

922
00:46:49,800 --> 00:46:53,040
Speaker 2: not to run or dropped out at some point and

923
00:46:53,400 --> 00:46:59,920
Speaker 2: endorsed Cuomo, Mom Donnie would have lost. But by dividing

924
00:47:00,440 --> 00:47:04,160
Speaker 2: potentially the vote totals now we will see. Because there

925
00:47:04,200 --> 00:47:08,640
Speaker 2: are record amounts of turnout underway, it may be that

926
00:47:08,840 --> 00:47:14,000
Speaker 2: having double opponents has allowed mom Donnie a socialist at best,

927
00:47:14,400 --> 00:47:17,000
Speaker 2: communist at worst to take over.

928
00:47:16,880 --> 00:47:18,280
Speaker 3: Our nation's largest city.

929
00:47:19,480 --> 00:47:23,160
Speaker 2: Okay, some of you may be saying culturally the impact

930
00:47:23,239 --> 00:47:27,759
Speaker 2: I wanted to play this.

931
00:47:25,920 --> 00:47:30,440
Speaker 3: This is Did you see this yet? Buck a Well?

932
00:47:30,480 --> 00:47:33,560
Speaker 2: First, let me play was the woman in Los Angeles

933
00:47:33,640 --> 00:47:37,160
Speaker 2: area Gold Gym to confirm this is a video that

934
00:47:37,239 --> 00:47:38,440
Speaker 2: has gone very viral.

935
00:47:38,920 --> 00:47:39,680
Speaker 3: A woman in.

936
00:47:39,880 --> 00:47:46,320
Speaker 2: LA is a Gold Gym workout person. I guess a

937
00:47:47,239 --> 00:47:49,799
Speaker 2: customer would be one way of saying it of the

938
00:47:49,840 --> 00:47:50,479
Speaker 2: Gold gym.

939
00:47:51,000 --> 00:47:53,360
Speaker 3: And she was kicked out.

940
00:47:53,160 --> 00:47:57,120
Speaker 2: Of Gold Gym and they ended her membership because she

941
00:47:57,280 --> 00:48:02,319
Speaker 2: complained about a man using the women's locker room in

942
00:48:02,360 --> 00:48:04,600
Speaker 2: the Gold's gym. We've had to edit it a bit,

943
00:48:04,680 --> 00:48:11,560
Speaker 2: but this has gone megaviral. Listen, gods zem Man broad Man.

944
00:48:11,480 --> 00:48:16,799
Speaker 3: We're big and the women's locker role and that's why.

945
00:48:16,600 --> 00:48:19,200
Speaker 5: I'm getting kicked out and I want to make short

946
00:48:19,280 --> 00:48:19,840
Speaker 5: of cross.

947
00:48:19,920 --> 00:48:25,719
Speaker 3: Now everybody saw that man in the locker role. No

948
00:48:25,800 --> 00:48:32,799
Speaker 3: one says and he's done with it. He's still day

949
00:48:33,680 --> 00:48:37,600
Speaker 3: and sang a n me making in front of a man.

950
00:48:37,640 --> 00:48:44,000
Speaker 3: But I'm might miss I'm turning that day for not

951
00:48:44,080 --> 00:48:45,440
Speaker 3: running meg in the locker.

952
00:48:45,239 --> 00:48:48,839
Speaker 2: Room Okay, now you could hear she's a little fired up,

953
00:48:48,960 --> 00:48:52,879
Speaker 2: a little bit of salty language there. This has gone megaviral.

954
00:48:53,200 --> 00:48:57,120
Speaker 2: Someone recorded her complaining because she has been banned from

955
00:48:57,160 --> 00:48:58,200
Speaker 2: Gold's gym.

956
00:48:58,280 --> 00:49:00,640
Speaker 3: Not the man with as.

957
00:49:00,480 --> 00:49:04,400
Speaker 2: You heard, male genitals in the women's locker room, but

958
00:49:04,560 --> 00:49:07,319
Speaker 2: this woman, black woman, to the extent that you care

959
00:49:07,320 --> 00:49:10,919
Speaker 2: about race, that is out there. She has now gone

960
00:49:11,080 --> 00:49:13,759
Speaker 2: viral for speaking out about this buck. I see it

961
00:49:13,800 --> 00:49:18,600
Speaker 2: connected here because this was the LA women's soccer team.

962
00:49:19,160 --> 00:49:20,560
Speaker 3: So one of the women.

963
00:49:20,840 --> 00:49:26,640
Speaker 2: At on the La angel City women's soccer team did

964
00:49:26,680 --> 00:49:29,279
Speaker 2: an article for the New York Post saying we need

965
00:49:29,320 --> 00:49:32,719
Speaker 2: to have men out of women's sports. It's a professional

966
00:49:32,760 --> 00:49:36,799
Speaker 2: soccer player. New York Post ran it the angel FC.

967
00:49:37,239 --> 00:49:41,880
Speaker 2: Also in Los Angeles, players said that the women's soccer

968
00:49:41,920 --> 00:49:44,960
Speaker 2: player who said women's soccer should only be made up

969
00:49:45,080 --> 00:49:51,000
Speaker 2: of women said that she was racist and transphobic their teammate.

970
00:49:51,200 --> 00:49:53,880
Speaker 2: They had a press conference to respond to it. This

971
00:49:53,960 --> 00:49:55,919
Speaker 2: is cut twenty eight. We pulled some of the cut.

972
00:49:55,960 --> 00:49:56,240
Speaker 3: Listen.

973
00:49:56,360 --> 00:49:59,200
Speaker 6: That article does not speak for this team in this

974
00:49:59,280 --> 00:50:02,000
Speaker 6: locker room. I've had a lot of combos with my

975
00:50:02,040 --> 00:50:05,960
Speaker 6: teammates in the past few days and they are hurt

976
00:50:06,280 --> 00:50:09,560
Speaker 6: and they are harmed by the article, and also they

977
00:50:09,600 --> 00:50:11,440
Speaker 6: are disgusted by some of the things that were said

978
00:50:11,480 --> 00:50:13,680
Speaker 6: in the article, and it's really important for me to

979
00:50:13,719 --> 00:50:16,840
Speaker 6: say that. And we don't agree with the things written

980
00:50:16,960 --> 00:50:21,040
Speaker 6: for a plethora of reasons, but mostly the undertones come

981
00:50:21,080 --> 00:50:25,280
Speaker 6: across as transphobic and racist as well. The article calls

982
00:50:25,280 --> 00:50:27,960
Speaker 6: for genetic testing on certain players, and it has a

983
00:50:28,000 --> 00:50:30,960
Speaker 6: photo of an African player as a headline, and that's

984
00:50:31,120 --> 00:50:34,719
Speaker 6: very harmful and to me, it's inherently racist because to

985
00:50:34,760 --> 00:50:37,799
Speaker 6: single out this community based on them looking or being

986
00:50:37,840 --> 00:50:42,080
Speaker 6: different is absolutely a problem. And as a mixed woman

987
00:50:42,360 --> 00:50:45,719
Speaker 6: with a black family, I'm devastated by the undertones of

988
00:50:45,719 --> 00:50:46,280
Speaker 6: this article.

989
00:50:48,200 --> 00:50:50,799
Speaker 2: I saw this last night book and I couldn't. I

990
00:50:50,920 --> 00:50:54,120
Speaker 2: watched the whole press conference. The racist part of this

991
00:50:54,280 --> 00:50:59,439
Speaker 2: article is they took a photo of Castor Semina, who

992
00:50:59,520 --> 00:51:03,680
Speaker 2: is a man that has been winning women's biologically male

993
00:51:04,080 --> 00:51:08,400
Speaker 2: has been winning women's races, happens to be from Africa,

994
00:51:08,840 --> 00:51:12,480
Speaker 2: but is a sign of a man competing in women

995
00:51:12,520 --> 00:51:18,600
Speaker 2: winning women's championships. The New York Post the picture, the author,

996
00:51:18,719 --> 00:51:21,279
Speaker 2: the women's soccer player who wrote this piece, which I

997
00:51:21,280 --> 00:51:23,640
Speaker 2: think is actually brave. I can't believe we need to

998
00:51:23,719 --> 00:51:27,200
Speaker 2: do it, but I mean to speak out and call

999
00:51:27,239 --> 00:51:32,040
Speaker 2: her racist and transphobic for saying, hey, we need to

1000
00:51:32,080 --> 00:51:35,640
Speaker 2: have rules in place to ensure that men can't compete

1001
00:51:36,080 --> 00:51:40,040
Speaker 2: in women's professional soccer. This is the same city where

1002
00:51:40,040 --> 00:51:43,200
Speaker 2: this woman is going viral for saying, hey, how am

1003
00:51:43,239 --> 00:51:45,919
Speaker 2: I getting canceled in golds gym? This is a real

1004
00:51:46,000 --> 00:51:49,279
Speaker 2: thing the Democrats are in favor of, including Abigail Spanberger,

1005
00:51:49,440 --> 00:51:51,680
Speaker 2: who is running for governor in Virginia.

1006
00:51:52,280 --> 00:51:55,560
Speaker 1: You know, why do they test for steroids in men's sports?

1007
00:51:55,760 --> 00:52:00,439
Speaker 1: You know why you're not necessarily better just because you're

1008
00:52:00,520 --> 00:52:03,000
Speaker 1: hitting the juice real hard? And you know, I mean,

1009
00:52:03,160 --> 00:52:05,719
Speaker 1: you can make a lot of these same arguments for that, like, well,

1010
00:52:05,800 --> 00:52:08,080
Speaker 1: is it really unfair? Don't you still have to do

1011
00:52:08,160 --> 00:52:11,280
Speaker 1: the things you're doing. It's not proven that every person

1012
00:52:11,360 --> 00:52:13,480
Speaker 1: who takes steroids is going to be so much stronger

1013
00:52:13,480 --> 00:52:14,439
Speaker 1: than other people who don't.

1014
00:52:14,440 --> 00:52:15,920
Speaker 3: I'm sure there are some people on steroids.

1015
00:52:16,840 --> 00:52:18,759
Speaker 1: It just all sounds like nonsense, doesn't And by the way,

1016
00:52:18,760 --> 00:52:22,080
Speaker 1: somebody should write book called Balls where they discuss many

1017
00:52:22,120 --> 00:52:26,120
Speaker 1: at these controversies, A lot a lot about this Clay.

1018
00:52:27,320 --> 00:52:29,359
Speaker 3: I think that.

1019
00:52:31,440 --> 00:52:33,839
Speaker 1: This is one of the surprises that many of us

1020
00:52:33,840 --> 00:52:36,959
Speaker 1: have after this last election. The Democrats are not backing

1021
00:52:36,960 --> 00:52:41,080
Speaker 1: off this at all. They are continuing to push for this,

1022
00:52:41,520 --> 00:52:43,400
Speaker 1: and I start to think that the only way that

1023
00:52:43,520 --> 00:52:46,120
Speaker 1: maybe we start to get beyond this is we're going

1024
00:52:46,160 --> 00:52:50,280
Speaker 1: to have to start recruiting guys in all these different sports,

1025
00:52:50,600 --> 00:52:53,560
Speaker 1: I agree, who will do the bare minimum, the bare

1026
00:52:53,600 --> 00:52:56,839
Speaker 1: minimum required to say that they are trans and then

1027
00:52:56,880 --> 00:53:01,919
Speaker 1: they will have to defeat women's professionals sports teams by

1028
00:53:02,000 --> 00:53:04,040
Speaker 1: like one hundred to zero, which is what would actually

1029
00:53:04,080 --> 00:53:08,440
Speaker 1: happen if you got as you know, you actually got,

1030
00:53:08,480 --> 00:53:10,520
Speaker 1: if you actually got male athletes in these sports.

1031
00:53:10,480 --> 00:53:12,120
Speaker 3: They don't have to be pro level, but they just

1032
00:53:12,160 --> 00:53:12,719
Speaker 3: have to be good.

1033
00:53:12,880 --> 00:53:14,879
Speaker 1: Yep, you know, if you've got if you had a team,

1034
00:53:14,920 --> 00:53:18,440
Speaker 1: if you had teams of D one level men for

1035
00:53:18,560 --> 00:53:22,680
Speaker 1: these different team sports trying to play against these women's

1036
00:53:23,200 --> 00:53:25,560
Speaker 1: pro teams, they would absolutely annihilate them and it wouldn't

1037
00:53:25,560 --> 00:53:26,120
Speaker 1: even be close.

1038
00:53:26,840 --> 00:53:28,040
Speaker 3: And if they.

1039
00:53:27,920 --> 00:53:32,080
Speaker 1: Do that enough, if there's a team of quote trends

1040
00:53:32,719 --> 00:53:36,800
Speaker 1: women that goes undefeated and wins every soccer game ten nothing,

1041
00:53:37,680 --> 00:53:39,680
Speaker 1: would then they start to or would they?

1042
00:53:39,719 --> 00:53:41,920
Speaker 3: I don't know. By the way, maybe that wouldn't be

1043
00:53:42,000 --> 00:53:42,960
Speaker 3: enough play. I don't know.

1044
00:53:43,000 --> 00:53:45,399
Speaker 1: I start to think that this is such a it's

1045
00:53:45,400 --> 00:53:47,200
Speaker 1: a little bit like the climate change thing. It's become

1046
00:53:47,400 --> 00:53:50,319
Speaker 1: such a religious belief for people that they will not

1047
00:53:50,560 --> 00:53:54,600
Speaker 1: move their thinking on the subject whatsoever. It does not

1048
00:53:54,840 --> 00:53:58,120
Speaker 1: matter what reality is presented to them, or how much

1049
00:53:58,160 --> 00:53:59,440
Speaker 1: reality is presented to them.

1050
00:53:59,440 --> 00:54:00,280
Speaker 3: They just don't care.

1051
00:54:01,520 --> 00:54:07,200
Speaker 2: I look, I don't I don't understand how it has

1052
00:54:07,280 --> 00:54:12,520
Speaker 2: become the party, the position of the Democrat Party, that

1053
00:54:13,000 --> 00:54:15,520
Speaker 2: men should be able to walk around in women's locker

1054
00:54:15,600 --> 00:54:20,840
Speaker 2: room with you know, full male genitalia and still be

1055
00:54:20,880 --> 00:54:24,520
Speaker 2: claiming that they are women. And to your point, Buck,

1056
00:54:24,600 --> 00:54:28,239
Speaker 2: I have offered to pay a man to identify as

1057
00:54:28,280 --> 00:54:31,960
Speaker 2: a woman and go play in the WNBA. Maybe I

1058
00:54:32,000 --> 00:54:34,800
Speaker 2: need to expand it to the National Women's Soccer League.

1059
00:54:35,160 --> 00:54:37,359
Speaker 2: So if you are out there listening right now and

1060
00:54:37,400 --> 00:54:40,200
Speaker 2: you are a talented male soccer player, to Buck's point,

1061
00:54:40,280 --> 00:54:43,120
Speaker 2: let's say you play D one men's soccer and you

1062
00:54:43,239 --> 00:54:46,200
Speaker 2: want to identify as a woman and try to make

1063
00:54:46,239 --> 00:54:48,960
Speaker 2: a women's pro soccer team. I think we have to

1064
00:54:49,120 --> 00:54:52,920
Speaker 2: just call out the absurdity of these arguments. It's not racist,

1065
00:54:53,040 --> 00:54:57,040
Speaker 2: it's not transphobic, it's not sexist. There's just a real

1066
00:54:57,120 --> 00:54:59,960
Speaker 2: biological difference here. So if you are a male se

1067
00:55:00,000 --> 00:55:03,000
Speaker 2: soccer player and you are listening to us right now,

1068
00:55:03,120 --> 00:55:06,840
Speaker 2: d one, I would encourage you to go to open

1069
00:55:06,920 --> 00:55:12,160
Speaker 2: tryouts if you make a women's soccer team, or they

1070
00:55:12,200 --> 00:55:15,480
Speaker 2: ban you, just say you identify as a woman.

1071
00:55:16,040 --> 00:55:17,359
Speaker 3: If you make a women's.

1072
00:55:17,040 --> 00:55:20,600
Speaker 2: Soccer team, I'll pay you one hundred grand challenge out

1073
00:55:20,640 --> 00:55:25,439
Speaker 2: there for every men's every man listening to us right now,

1074
00:55:25,960 --> 00:55:27,920
Speaker 2: I want one of you out there to try to

1075
00:55:27,960 --> 00:55:30,799
Speaker 2: make a women's pro soccer team. Just tell them if

1076
00:55:30,840 --> 00:55:35,160
Speaker 2: they question you, hey, I identify as a woman, and

1077
00:55:35,560 --> 00:55:37,839
Speaker 2: I want you to make the team because if they

1078
00:55:37,880 --> 00:55:41,440
Speaker 2: don't have this rule in place, it would be transphobic

1079
00:55:42,000 --> 00:55:44,720
Speaker 2: for them to stop you from being able to become

1080
00:55:45,280 --> 00:55:49,799
Speaker 2: a male identifying as a woman professional athlete. And I

1081
00:55:49,800 --> 00:55:51,759
Speaker 2: think you might be able to score fifty goals in

1082
00:55:51,800 --> 00:55:54,640
Speaker 2: a year. And maybe this is what needs to happen

1083
00:55:54,640 --> 00:55:57,640
Speaker 2: in the National Women's Soccer League. Because again, this is

1084
00:55:57,800 --> 00:56:01,240
Speaker 2: angel FC. I think they're called. This is Bob Iger,

1085
00:56:01,400 --> 00:56:04,040
Speaker 2: the CEO of Disney owns this team. Buck, did you

1086
00:56:04,080 --> 00:56:09,080
Speaker 2: know that the ceo of Disney, Bob Iiger that owns ESPN,

1087
00:56:09,840 --> 00:56:13,719
Speaker 2: he and his wife own this LA soccer team that

1088
00:56:13,880 --> 00:56:16,279
Speaker 2: just said it's transphobic and racist for one of their

1089
00:56:16,320 --> 00:56:19,840
Speaker 2: players to say men shouldn't be able to play women's sports.

1090
00:56:20,200 --> 00:56:23,959
Speaker 2: I'm putting one hundred grand on the table for all

1091
00:56:24,040 --> 00:56:27,080
Speaker 2: male soccer players out there. Figure out how to make

1092
00:56:27,120 --> 00:56:28,600
Speaker 2: a team. If you make it, If you make a

1093
00:56:28,640 --> 00:56:29,920
Speaker 2: team and play in a game, I'll give you one

1094
00:56:30,000 --> 00:56:33,400
Speaker 2: hundred grand, which is probably more than a lot of

1095
00:56:33,400 --> 00:56:36,480
Speaker 2: the females, more than they make, more than the women's

1096
00:56:36,520 --> 00:56:39,440
Speaker 2: average soccer player makes. I will give you one hundred

1097
00:56:39,560 --> 00:56:43,080
Speaker 2: grand my own money if you are a man listening

1098
00:56:43,080 --> 00:56:45,560
Speaker 2: to us right now, and you can make a national

1099
00:56:45,600 --> 00:56:46,960
Speaker 2: women's soccer League team.

1100
00:56:47,719 --> 00:56:51,279
Speaker 1: I really do wonder what is the basis in some

1101
00:56:51,360 --> 00:56:55,320
Speaker 1: of these leagues currently. If you say you're what I'm saying, Yeah,

1102
00:56:55,480 --> 00:56:58,040
Speaker 1: you know, and you and I have some facial hair going.

1103
00:56:58,360 --> 00:57:00,239
Speaker 1: If I just showed up, if I didn't do the

1104
00:57:00,280 --> 00:57:03,759
Speaker 1: thing where I get like super fake long nails and

1105
00:57:03,800 --> 00:57:06,400
Speaker 1: grow my hair out long, or get a wig and

1106
00:57:06,480 --> 00:57:09,200
Speaker 1: put a bunch of rouge on my cheeks or whatever, like,

1107
00:57:09,239 --> 00:57:11,360
Speaker 1: if I just show up and say I'm actually a chick.

1108
00:57:12,120 --> 00:57:15,200
Speaker 1: Do they have to let me try out?

1109
00:57:16,000 --> 00:57:16,840
Speaker 3: It'd be transphoted.

1110
00:57:17,720 --> 00:57:19,919
Speaker 2: I mean, who gets I mean, who gets to make

1111
00:57:19,960 --> 00:57:23,640
Speaker 2: the determination of I mean, if the guy's walking around

1112
00:57:23,680 --> 00:57:28,160
Speaker 2: in the golds gym in LA and he's got what's

1113
00:57:28,200 --> 00:57:29,720
Speaker 2: the phrase that we can u he's got a penis.

1114
00:57:29,720 --> 00:57:32,480
Speaker 3: I'm trying to think of the word, right, male equipment,

1115
00:57:32,640 --> 00:57:33,400
Speaker 3: mail equipment.

1116
00:57:34,120 --> 00:57:36,760
Speaker 2: He's got the he's got the carrot and the broccoli,

1117
00:57:37,440 --> 00:57:40,960
Speaker 2: and he's just walking around like it's pretty clear that

1118
00:57:41,000 --> 00:57:44,240
Speaker 2: he's a dude. I'm just I think the penis and

1119
00:57:44,320 --> 00:57:48,160
Speaker 2: the balls are undefeated in terms of male genitalia. Uh,

1120
00:57:48,320 --> 00:57:51,280
Speaker 2: it's defining the gender. Although you know they like to

1121
00:57:51,360 --> 00:57:53,800
Speaker 2: argue now that sometimes doctors at birth get it wrong.

1122
00:57:54,480 --> 00:57:54,880
Speaker 3: I don't know.

1123
00:57:55,040 --> 00:57:57,080
Speaker 2: I was there for three berths when they held the

1124
00:57:57,120 --> 00:57:58,680
Speaker 2: baby up, I was like, hey, I got a pretty

1125
00:57:58,680 --> 00:58:00,560
Speaker 2: good sense of what gender I've got.

1126
00:58:01,640 --> 00:58:04,280
Speaker 1: I've always thought it's interesting too that they they they

1127
00:58:04,320 --> 00:58:11,919
Speaker 1: explicitly deny that this is about intersex formally called hermaphrodite individuals,

1128
00:58:12,440 --> 00:58:15,960
Speaker 1: which is a very rare genetic.

1129
00:58:15,640 --> 00:58:18,480
Speaker 3: Unfortunately, very rare. Yes, very rare.

1130
00:58:18,600 --> 00:58:22,160
Speaker 1: But it's not that it's never about that, because then

1131
00:58:22,320 --> 00:58:25,880
Speaker 1: you could you can deal with that biologically by the way,

1132
00:58:25,960 --> 00:58:30,000
Speaker 1: they're generally much more male or much more female. It

1133
00:58:30,360 --> 00:58:32,440
Speaker 1: just has to do with the sex organs. But actually

1134
00:58:32,440 --> 00:58:34,440
Speaker 1: the res you know, they're.

1135
00:58:34,360 --> 00:58:37,600
Speaker 2: Historically they would have defined as one way or the other.

1136
00:58:38,280 --> 00:58:41,240
Speaker 2: Before we had gender testing, they would have just decided, hey,

1137
00:58:41,480 --> 00:58:45,040
Speaker 2: and it's unfortunate, but it's highly irregular that you basically

1138
00:58:45,080 --> 00:58:48,280
Speaker 2: have almost uh you know, like Klein syndrome of Kleinfelter

1139
00:58:48,440 --> 00:58:50,800
Speaker 2: or something like that. I think, if I'm not mistaken.

1140
00:58:50,920 --> 00:58:53,040
Speaker 1: But that is not this is this is this is

1141
00:58:53,160 --> 00:58:58,280
Speaker 1: truly I say, therefore I am is the basis of this.

1142
00:58:58,720 --> 00:59:00,680
Speaker 1: And also they don't want to get into hormone stuff

1143
00:59:00,720 --> 00:59:03,920
Speaker 1: either play because well, hold on a second, why if

1144
00:59:03,920 --> 00:59:07,080
Speaker 1: you have to take hormones to make you the thing that,

1145
00:59:07,200 --> 00:59:11,840
Speaker 1: how are you affirming that you're transforming? You're not affirming, right,

1146
00:59:12,040 --> 00:59:14,680
Speaker 1: So that's what has to be a psychological thing. It

1147
00:59:14,720 --> 00:59:18,560
Speaker 1: can't be that your biochemistry is changed and therefore you

1148
00:59:18,640 --> 00:59:22,920
Speaker 1: are because you're altering your biochemistry. So there's clearly a

1149
00:59:23,000 --> 00:59:26,280
Speaker 1: physical basis for this, Like why do you have to

1150
00:59:26,320 --> 00:59:28,000
Speaker 1: do that to be a woman? If you only have

1151
00:59:28,120 --> 00:59:29,920
Speaker 1: to say you're a woman and then you're a woman.

1152
00:59:30,240 --> 00:59:34,320
Speaker 1: It's it is the height of crazy. But here we are,

1153
00:59:34,760 --> 00:59:38,280
Speaker 1: all right, let's talk about something that actual women have

1154
00:59:38,320 --> 00:59:41,880
Speaker 1: to deal with, and that is unplanned pregancies and the

1155
00:59:41,880 --> 00:59:44,760
Speaker 1: pressures that can come with them in our society. And

1156
00:59:44,880 --> 00:59:48,000
Speaker 1: planned parenthood is out there saying come to us, and

1157
00:59:48,160 --> 00:59:50,640
Speaker 1: unfortunately there's a lot of abortion that's happening across the

1158
00:59:50,640 --> 00:59:53,760
Speaker 1: country right now. This is where preborn clinics come in.

1159
00:59:54,600 --> 00:59:58,160
Speaker 1: Preborn clinics introduce women to their babies when they come

1160
00:59:58,200 --> 01:00:01,600
Speaker 1: in via a free ultrasound. Because when mom sees that

1161
01:00:01,680 --> 01:00:05,240
Speaker 1: tiny baby insiderr, here's that heartbeat, she realized that there

1162
01:00:05,240 --> 01:00:07,880
Speaker 1: are so many hope filled choices for her when she

1163
01:00:08,040 --> 01:00:11,800
Speaker 1: chooses life, and Preborn continues walking with her for up

1164
01:00:11,840 --> 01:00:15,480
Speaker 1: to two years, providing maternity clothes, diapers, counseling, and so

1165
01:00:15,600 --> 01:00:18,120
Speaker 1: much more. Preborn cares for the whole woman, mind, body,

1166
01:00:18,200 --> 01:00:21,440
Speaker 1: and soul and the precious baby growing inside her. So

1167
01:00:21,560 --> 01:00:24,600
Speaker 1: as you think about your year end giving, consider the

1168
01:00:24,680 --> 01:00:27,320
Speaker 1: greatest investment you could ever make, the gift of life.

1169
01:00:27,640 --> 01:00:29,760
Speaker 1: There are hundreds of thousands of mothers to be in

1170
01:00:29,800 --> 01:00:32,360
Speaker 1: this situation today. As the year comes to a close,

1171
01:00:32,400 --> 01:00:35,760
Speaker 1: your tax deductible donation can be the difference between life

1172
01:00:35,760 --> 01:00:38,200
Speaker 1: and death. Would you consider a leadership gift to save

1173
01:00:38,240 --> 01:00:39,280
Speaker 1: babies in a big way?

1174
01:00:39,560 --> 01:00:40,200
Speaker 3: Your gift of.

1175
01:00:40,160 --> 01:00:42,680
Speaker 1: Five, ten, or fifteen thousand dollars will be used to

1176
01:00:42,680 --> 01:00:45,840
Speaker 1: save countless babies for years to come. To donate, dial

1177
01:00:45,880 --> 01:00:49,080
Speaker 1: pound two five zero and say the keyword baby. That's

1178
01:00:49,120 --> 01:00:52,600
Speaker 1: pound two five zero, say baby. Or go online and

1179
01:00:52,640 --> 01:00:56,720
Speaker 1: donate securely at preborn dot com, slash Buck, preborn dot com,

1180
01:00:56,760 --> 01:00:59,920
Speaker 1: slash b u c K sponsored by Preborn.

1181
01:01:00,800 --> 01:01:05,040
Speaker 8: Making America Great Again isn't just one map, It's many.

1182
01:01:05,320 --> 01:01:08,960
Speaker 8: The Team forty seven podcast Sunday's at noon Eastern in

1183
01:01:09,160 --> 01:01:10,919
Speaker 8: the Clay and Buck podcast feed.

1184
01:01:11,040 --> 01:01:11,720
Speaker 3: Find it on the

1185
01:01:11,760 --> 01:01:15,000
Speaker 9: iHeartRadio app, or wherever you get your podcasts