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Speaker 1: You are entering the freedom hunt. One down, one ago.

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Speaker 1: The Democrat debate last night was more or less what

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Speaker 1: we expected, a whole bunch of crazy with some social

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Speaker 1: justice rhetoric thrown into the mix. And then tonight there'll

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Speaker 1: be more candidates on the left making a mockery of

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Speaker 1: themselves in front of the American people. We'll talk about

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Speaker 1: what they said, what they stand for, and all the

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Speaker 1: rest of what you need to know coming up on

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Speaker 1: the Buck Sexton Show. This is the Buck Sexton Show,

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Speaker 1: where the mission or mission is to decode what really

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Speaker 1: matters with actionable intelligence. Make no mistake American, You're a

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Speaker 1: great American. Again, the Buck Sexton Show begins. He's a

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Speaker 1: great guy, No man. I washed that debate last night.

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Speaker 1: It was not particularly memorable. But welcome to the Buck

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Speaker 1: Saxon Show. We'll talk a bit about this just because

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Speaker 1: it is a window into the decrepit soul of the

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Speaker 1: American left. We got a sense of what they stand for,

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Speaker 1: who they are on the upside. Before I get into

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Speaker 1: the degree the depths of crazy to which we were

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Speaker 1: forced to endure. Before I get to that, I'll say

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Speaker 1: I think that Delaney and Gabbert looked looked pretty normal, right.

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Speaker 1: I think that's a fair I think Delaney and Gabber

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Speaker 1: probably came out of the crew the best, and then

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Speaker 1: there was just some whackadoo stuff, which we'll be getting

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Speaker 1: into here in just a moment. But Beto is Betto

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Speaker 1: is Beto, he is Dunzo. I do not think Betto

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Speaker 1: is gonna, which is a shame because I really enjoy

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Speaker 1: people really like the Betto impersonation Prucer Mike, so we

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Speaker 1: might have to just create a character. It's like, but

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Speaker 1: those are special, like American unity around the campfire while

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Speaker 1: he plays a guitar correspondent to make fun of. He's

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Speaker 1: fun to make fun of, you know. I mean that's

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Speaker 1: so I'm a little sad that he's not going to

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Speaker 1: be in the mix more. It's like Bernie Sanders. You

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Speaker 1: gotta have the poem because then you can act if

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Speaker 1: he was president for full he was thinking about what

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Speaker 1: we could do. We could talk about Bernie Sanders all

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Speaker 1: the time. It'd be fantastic. Um. I mean, it'd be

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Speaker 1: bad for the economy, for the country and for the world,

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Speaker 1: but at least I'd be able to make fun of

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Speaker 1: Bernie Sanders a lot, which would be good. Now though,

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Speaker 1: on to the crazy for a second here. Um. And

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Speaker 1: but we've got some big Supreme Court decisions that came

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Speaker 1: down today, one on jerrymandering and one on the census.

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Speaker 1: So the jerrymandering the Court was correct and said that

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Speaker 1: it's not an issue for the for the Supreme Court

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Speaker 1: to decide jerry mannering is gonna happen. The census question,

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Speaker 1: I think was close to wrongly decided, and I think

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Speaker 1: it's a bad thing going on there. So we'll see

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Speaker 1: what happens. We'll talk about that there later on. Let's

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Speaker 1: get into why. I. I just think it was a

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Speaker 1: good thing for the American people to see last night.

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Speaker 1: Who these Democrats are, what they believe, what they think,

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Speaker 1: and how completely bizarre some of their beliefs are, and

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Speaker 1: what social justice rhetoric and thinking can do to a person,

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Speaker 1: how wrong, how outside the mainstream, how just looney can

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Speaker 1: it make you. You knew that the social issues would

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Speaker 1: come up in the course of the debate with all

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Speaker 1: these different candidates, but I did not expect this to happen.

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Speaker 1: And I usually know what the Democrats are gonna do,

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Speaker 1: where they're gonna go with something. I am rarely surprised

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Speaker 1: by the Democrats. This one was a WT moment, This

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Speaker 1: was wow. Ulean Castro last night said that, well, we

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Speaker 1: knew that. He said that they should have taxpayers fund abortions,

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Speaker 1: which is a very has been a red line in

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Speaker 1: American politics for a long time. It's why we had

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Speaker 1: the High Amendment. Now, as I've said, money is fungible,

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Speaker 1: and you give money to Planned Parenthood, you're giving money

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Speaker 1: to abortion mills. It doesn't really change. But at least

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Speaker 1: there was this this something of an effort to even

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Speaker 1: if just give a fig leaf that we're not going

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Speaker 1: to take money from Americans and just funnel it right

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Speaker 1: away in a direct fashion from your pocket to the

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Speaker 1: treasury to abortion abortion mills. And now the Democrats have

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Speaker 1: abandoned that. It is the official Democratic Party platform that

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Speaker 1: you must fund, that abortion is abortions are healthcare, and

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Speaker 1: that it must be funded. But then, so that's already

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Speaker 1: a radical position, and it's a deeply immoral position. It's

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Speaker 1: a scientifically on sound position. It's a you know, you

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Speaker 1: go down. It's heinous, it's it's evil, it's wrong. But

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Speaker 1: this added a whole other layer what Castro said last

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Speaker 1: night to this issue Plate ten. Would your plan cover abortion,

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Speaker 1: mister Secretary, I guess it would. I don't believe only

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Speaker 1: in reproductive freedom. I believe in reproductive justice. And you

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Speaker 1: know what that means is that just because a woman

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Speaker 1: or let's also not forget someone in the trans community,

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Speaker 1: a trans email this core, doesn't mean they shouldn't have

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Speaker 1: the right to exercise that right to choose. And so

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Speaker 1: I absolutely would cover the right to have an abortion.

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Speaker 1: So a trans female would have a taxpayer funded abortion.

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Speaker 1: Is that am I missing at MIC? Or is that

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Speaker 1: what I feel like? That's what was said, Let's not

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Speaker 1: leave the trans community out of the abortion and they

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Speaker 1: said a trans female, which would mean a biological male,

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Speaker 1: a biological male. Who, Yeah, does someone need to explain

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Speaker 1: x x x Y chromosome, the birds and the bees.

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Speaker 1: I know that this is a massive pandering festival last

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Speaker 1: night to all the different communities, of all the different

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Speaker 1: factions with the Democratic Party, but I am pretty darn

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Speaker 1: short that it is not something that we have to

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Speaker 1: worry about when you have biological males who are transgender

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Speaker 1: females putting us on what that even means for a moment,

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Speaker 1: I am quite certain they cannot have children and therefore

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Speaker 1: the abortion, the abortion issue does not come into play.

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Speaker 1: And for a presidential candidate the Democratic Party to say

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Speaker 1: that was just a window into Wow, these people are nuts.

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Speaker 1: They're just living in an alternate universe. Facts don't matter,

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Speaker 1: science doesn't matter, reality doesn't matter. It's just whatever. Sounds

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Speaker 1: like they care the most about an agree of the community,

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Speaker 1: or an a press community or whatever it. Maybe we'll

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Speaker 1: get into later about all the ablest panol that was

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Speaker 1: going on. You know, Corey Booker spoke about trans Americans

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Speaker 1: last night as well. He didn't I don't believe he

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Speaker 1: said that they should get taxpayer funded abortions, which Corey

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Speaker 1: Booker's got that at least going for him. But but

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Speaker 1: here's what he said, play KIPT twelve. Civil rights is

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Speaker 1: someplace to begin, but in the African American civil rights

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Speaker 1: community another place to focus, almost to stop the lynching

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Speaker 1: of African Americans. We do not talk enough about trans Americans,

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Speaker 1: especially African American trans Americans, and the incredibly high rates

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Speaker 1: of murder right now. We don't talk enough about how

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Speaker 1: many children, about thirty percent of LGBTQ kids who do

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Speaker 1: not go to school because of fear it's not enough

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Speaker 1: just to be on the Equality Act. I'm an original cosponsor.

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Speaker 1: We need to have a president that will fight to

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Speaker 1: protect LGBTQ Americans every single day from violence. So we

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Speaker 1: don't talk enough, according Democrats about trans Americans, or as

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Speaker 1: as Corey Booker says, they're African American trans Americans. So

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Speaker 1: I mean that's a whole even more specific designation. Producer

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Speaker 1: Mike just sent me this. People who identify as trans

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Speaker 1: are point two percent of the population. I think we

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Speaker 1: talk about trans Americans a lot. Actually, I think the

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Speaker 1: Democratic Party is obsessed with the issue of trans Americans

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Speaker 1: because they think that this is a new civil rights

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Speaker 1: struggle and it brings together for them the eradication of

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Speaker 1: gender and the radical equality that they believe they can

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Speaker 1: make between men and women by eliminating gender as something

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Speaker 1: that is physically constructed, something that is biologically based. They're

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Speaker 1: wrong in this, and that's why they have these completely

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Speaker 1: insane ideas, like you know, there should be trans trans

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Speaker 1: female mma fighters and that that's not dangerous and a

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Speaker 1: terrible idea. I mean, they're wrong about these things, but

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Speaker 1: nonetheless they do cling to them. But who you cast

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Speaker 1: for last night, trans Americans should or trans females rather

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Speaker 1: should have taxpayer funded abortions. If you were trying to

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Speaker 1: come up with a tagline for the Democrat debate last

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Speaker 1: night of just how far left, how crazy this party

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Speaker 1: has become. We're not sitting around arguing over you know,

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Speaker 1: what the marginal tax rate should be, Should it be

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Speaker 1: up two percent or down two percent or something. I

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Speaker 1: mean there's some people want to have that conversation. No, no, No,

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Speaker 1: Democrats now as a party are kicking at the load

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Speaker 1: bearing walls of our society. I mean they just want

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Speaker 1: to see how far they can push everything. And if

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Speaker 1: you have any questions at all, it just if you

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Speaker 1: just want to slow things down a little bit. Hey,

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Speaker 1: we study this little work. We spent a little more

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Speaker 1: time on this. You're a bigot, You're awful, You're mean.

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Speaker 1: You don't care about kids drowning in the rio grand

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Speaker 1: you don't care about Transamericans being murdered. No, I mean

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Speaker 1: we care about all those that. We don't want anything

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Speaker 1: bad to happen to anybody. But can we talk about policy?

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Speaker 1: Can we talk about what works in the real world? Oh? No,

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Speaker 1: You see, last night was a portal the Democrats created

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Speaker 1: a portal into a left wing fantasy world where reality

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Speaker 1: no longer counts. It's just whatever gets the left wing

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Speaker 1: audience riled up and feels emotionally validated. That's what the

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Speaker 1: Democratic Party has become. Insanity that emotionally validates the left,

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Speaker 1: and that's what we saw in the debate. We have

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Speaker 1: more on this in a moment. My plan would be

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Speaker 1: to first of all, make community college free and make

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Speaker 1: sure that everyone else besides that top percentile gets help

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Speaker 1: with our education. Secondly, I'd use pell grants, I double

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Speaker 1: them from six thousand to twelve thousand dollars a year

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Speaker 1: and expand it to the number of families that get

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Speaker 1: covered up to families that make up to one hundred

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Speaker 1: thousand dollars. My family didn't have the money for college application,

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Speaker 1: much less a chance for me to go to college,

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Speaker 1: but I got my chance. It was a fifty dollars

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Speaker 1: a semester commuter college. That was a little slice of

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Speaker 1: government that created some opportunity for a girl, and it

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Speaker 1: opened my life. You're never gonna find out how expensive

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Speaker 1: college can be until it is free. Trust me. You

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Speaker 1: had their Klobaschar and pocahonas aka Elizabeth Warren talking about

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Speaker 1: the ways that they want to expand people's ability to

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Speaker 1: go to college. Let's let's understand this. You have one

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Speaker 1: point seven one point six trillion dollars of outstanding student loans,

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Speaker 1: which means that there are a lot of people who

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Speaker 1: are taking out loans. But by the way of that,

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Speaker 1: one thing that doesn't get discussed. Of that one point

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Speaker 1: six trillion, there's a big chunk of that that is

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Speaker 1: for profit colleges. There's a big chunk of that that

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Speaker 1: is education that people should probably think long and hard

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Speaker 1: before they go forward with it. A for profit college

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Speaker 1: can work for people, can be okaput is a sketchy

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Speaker 1: success ratio for people who are trying to get certain

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Speaker 1: jobs going to these for profit universities and these different

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Speaker 1: online programs. And here's what the real discussion should be

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Speaker 1: at at the national level, instead of just trying to

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Speaker 1: say that everything is free, which means that everyone is

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Speaker 1: going to pay for really the top third of America socioeconomically,

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Speaker 1: there's going to be a subsidy that the taxpayers going

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Speaker 1: to provide for them to go to school. There are

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Speaker 1: already are lots of subsidies. I mean, we're already funneling

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Speaker 1: dollars into state universities and state colleges community colleges. You

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Speaker 1: can more or less go to community college almost for free,

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Speaker 1: and at the very elite level places like Yale University

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Speaker 1: Harvard University. If you make under a certain amount of money,

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Speaker 1: you are probably going to graduate with little to no debt.

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Speaker 1: This is not a program. This is not a plan

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Speaker 1: that the Democrats are putting forward that's going to make

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Speaker 1: this better, because they're not dealing with the real problem.

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Speaker 1: The real problem is if everybody this is market base,

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Speaker 1: this is supply and demand. If everybody has some kind

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Speaker 1: of a degree and that's a credential that is used

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Speaker 1: in the hiring process, then guess what. That credential isn't

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Speaker 1: worth as much anymore. You know, if you gave everybody

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Speaker 1: in the in the United States a million dollars, it

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Speaker 1: wouldn't be the same to be a millionaire anymore either, Right,

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Speaker 1: You wouldn't be like, oh, I'm rich now, No, you

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Speaker 1: wouldn't be rich because everybody's got a million dollars. There

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Speaker 1: is going to be a stratification process involved in higher education.

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Speaker 1: You're never going to get rid of it entirely. Ultimately,

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Speaker 1: everybody can't get a trophy. Now, another part of this

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Speaker 1: is that going to a four year college is not

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Speaker 1: necessarily a trophy. He might not want to do it.

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Speaker 1: In my own way, as somebody who comes from a

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Speaker 1: coastal city and thought about getting a very expensive two

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Speaker 1: year graduate degree. I looked at this problem as somebody

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Speaker 1: who came out of the government, had very little savings.

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Speaker 1: I mean, like basically no money in the bank, and

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Speaker 1: was going to apply to go get an MBA and

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Speaker 1: do all this stuff. And I said, you know, I

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Speaker 1: just I'd rather just get a job and just just

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Speaker 1: hustle and just make it happen. That's what I did.

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Speaker 1: Now here I am on a nationally syndicated radio show.

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Speaker 1: Yah me. But these are the decisions that people should

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Speaker 1: be forced to make. You have to have individual responsibility.

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Speaker 1: It's amazing to hear democrats up there on that stage

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Speaker 1: talking for as long as they did, and words like

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Speaker 1: you know, freedom, liberty, individual responsibility. None of these things

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Speaker 1: ever come out of their mouths. There's a whole lexicon,

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Speaker 1: there's a whole way of speaking talking about this kind

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Speaker 1: of justice, that kind of justice, you know, the way

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Speaker 1: that layers of oppression make their way into the thinking

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Speaker 1: of all of these Libs on that stage all the time,

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Speaker 1: and the way they'll talk about our democracy, our democracy,

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Speaker 1: first of all, it's a republican. Second of all, democracy

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Speaker 1: just means whatever gets libs in power. That's really what

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Speaker 1: democracy is for them. It's not what they pretend that

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Speaker 1: it is. And you know, the plans they have for

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Speaker 1: college are not going to help the people that they

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Speaker 1: think they're going to help. I mean, to eliminate all

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Speaker 1: that debt is it would be an act of tremendous

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Speaker 1: unfairness to people who didn't take out those loans or

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Speaker 1: already paid off their loans. So I just think it's

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Speaker 1: it's it's important that we see this for what it

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Speaker 1: really is. And the Libs are they'll never learn that,

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Speaker 1: that is for sure. They will absolutely never learn, oh

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Speaker 1: speak of, never learned family separation. They talked a lot

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Speaker 1: about immigration last night. You know what you got from it.

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Speaker 1: They have no plans, no interest whatsoever in stopping the

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Speaker 1: flow of migrants to our southern border. They do not

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Speaker 1: view this, I keep saying it. They do not view

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Speaker 1: this as a problem. They don't see this as an issue. They,

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Speaker 1: if anything, just hope that this continues on and they

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Speaker 1: like the issue as a means of bashing Republicans. Here

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Speaker 1: is Beto. It's like I just last night, it was

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Speaker 1: my big chance, and I didn't seize that chance. But

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Speaker 1: if we just all seize each other and just hold

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Speaker 1: each other's hands, and you don't have to sing in tune,

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Speaker 1: but just like I just want to play a g

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Speaker 1: on my guitar, and then if you're close enough to it,

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Speaker 1: we can all just like sing together and I'll make

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Speaker 1: my big comeback. But Beto was talking about family separation,

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Speaker 1: the only part of the immigration debate the Democrats want

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Speaker 1: to discuss. Here's what they said, Play eight. No one's

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Speaker 1: worked harder to end the practice of family separation. My administration,

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Speaker 1: we will reunite every separated family. We will free Dreamers

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Speaker 1: from any fear of deportation by making them US citizens,

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Speaker 1: and will rewrite our immigration laws in our own image

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Speaker 1: so they reflect our values, our interests, and our reality

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Speaker 1: in cities like Miami where we are today, or my

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Speaker 1: hometown of El Paso. So a very ambitious, bold plan

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Speaker 1: to make sure that we get immigration policy right. What

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Speaker 1: does that mean? You know, it's my favorite question. What

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Speaker 1: does that mean we're gonna rewrite We're gonna rewrite our

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Speaker 1: immigration plan so that they represent a mirror who we

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Speaker 1: are as a people. I did myself an AD. Yeah, exactly.

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Speaker 1: He would give himself an A. He doesn't, he doesn't

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Speaker 1: even know what that means other than stay away from

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Speaker 1: talking about how the Democrats are an open borders party.

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Speaker 1: I did myself an A. Yeah, if you can get here,

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Speaker 1: you can stay. That's the bet the Beto way, And

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Speaker 1: then he'd give himself an A. It's really just it was.

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Speaker 1: It was madness up there on stage last night. It

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Speaker 1: was a lot of people who are even where they

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Speaker 1: were saying the stuff that's even crazier than that then

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Speaker 1: then what they would want to say for the most part,

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Speaker 1: because that is where the base of the Democratic Party is.

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Speaker 1: It was a a smorgest board of crazy, a bacchanal

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Speaker 1: of the insane, at a menagerie of mindlessness. I could

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Speaker 1: go on and on. I should be a sportscaster, you know,

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Speaker 1: serendipity baby, you know I can be one of those guys.

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Speaker 1: Is that Dick vital right? Yeah, yeah, that's right. I

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Speaker 1: know some things about the sports, not as much as

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Speaker 1: you might but I'm working on it. It's okay. By

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Speaker 1: the way, we're gonna have and Colter joining us for

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Speaker 1: quite a bit in the second hour. We're gonna have

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Speaker 1: a chat about the Central Park five as well as

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Speaker 1: the big Supreme Court cases that came down today and

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Speaker 1: is super fun, So definitely stay stay around for that.

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Speaker 1: That'll be right in the middle of the show. We'll

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Speaker 1: be right back. Well, the biggest geopolitical challenge is China.

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Speaker 1: The biggest threat to the security the United States is

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Speaker 1: Donald Trump. You're at a greater risk of nuclear war

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Speaker 1: today than ever before in history. Our major threat right

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Speaker 1: now is what's going on in the Mid East with

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Speaker 1: Iran essential threat is climate change, climate change, Yeah, Center Booker,

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Speaker 1: Nuclear Proliferation and climate Change Secretary Castra Say China, and

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Speaker 1: climate Change Congressman Ryan China. Without a question, Russia, because

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Speaker 1: they're trying to undermine our democracy. The biggest threat, folks,

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Speaker 1: accord of these democrats, the biggest threat the United States faces.

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Speaker 1: You heard all their answers there. It was a kind

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Speaker 1: of one of the few rapid fire moments of what

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Speaker 1: was a pretty lackluster overall. I mean, there's there was

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Speaker 1: nobody was impressive I mean, I actually did this out

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Speaker 1: last night. I would take Mike, what do you think

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Speaker 1: of us? I would take any if I had to

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Speaker 1: start a new chain of yogurt shops, you know, if

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Speaker 1: I was going to be a startup of my own business,

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Speaker 1: I would take a random MBA student, just picked at random,

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Speaker 1: over pretty much anybody. The only exception might be Delaney,

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Speaker 1: but everybody else on that stage last night, I would

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Speaker 1: take random MBA student. Yeah, no doubt, no doubt about it.

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Speaker 1: People have no no sense of how a business works,

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Speaker 1: no sense of how the or at least when they

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Speaker 1: talk about this, they have no sense about the real

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Speaker 1: world works. You know, I'm something like Elizabeth Warreners. She

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Speaker 1: has she ever had to has she ever had to

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Speaker 1: read a balance sheet? Does she have any idea? She

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Speaker 1: talks about small business all the time. What does she

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Speaker 1: know about small business? You's been a professor? Mom, Paul

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Speaker 1: never taught her that. I guess not. But you know,

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Speaker 1: there was a lot of stuff last night that was

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Speaker 1: pretty crazy. That's that's really the theme. Democrats are crazy.

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Speaker 1: A lesson from debate one. Democrats are crazy. We can

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Speaker 1: take that that one to the bank. But then there's

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Speaker 1: also on the national security side. I forget who it

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Speaker 1: was that said Trump. I think that's I think it

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Speaker 1: was Insley. Maybe he might have said Trump, or who's

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Speaker 1: who said Trump was the what doesn't matter. Yeah, there's

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Speaker 1: a part of me that wants to give the benefit

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Speaker 1: of the doubt and say that that they don't. He

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Speaker 1: didn't mean that, as in he just was trying to

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Speaker 1: be funny. But I do believe it. There are Democrats,

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Speaker 1: and perhaps Ensley is one of them, who really think

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Speaker 1: that the greatest threat that the country faces is in fact,

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Speaker 1: Donald Trump. These people are nuts, absolutely nuts, the biggest threat.

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Speaker 1: He's been president for over two years. The country's fine.

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Speaker 1: Things are good, We're not starting any big wars, haven't

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Speaker 1: gotten hit with any major knock on wood, haven't gotten

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Speaker 1: hit with any major terrorist attacks. Economy is really robust.

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Speaker 1: What what's the problem everybody? It's like they hate the

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Speaker 1: country doing so well. On the left, I don't know

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Speaker 1: what to say. If you would if you had told

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Speaker 1: people when they were voting, based on what the Democrats

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Speaker 1: were saying in the fall of twenty sixteen, that this

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Speaker 1: is what the country would look like under Donald Trump,

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Speaker 1: I think I think you would have beaten Hillary and

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Speaker 1: a lot of states that he didn't even beat it

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Speaker 1: right now, if you really had that clarity about the

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Speaker 1: results of this presidency. But he said that Trump was

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Speaker 1: the biggest threat. Look, people want to say the Democrats

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Speaker 1: who said nuclear stuff or Iran, that's legit, that's you

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Speaker 1: can make that claim. I don't think Iran really is

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Speaker 1: that big of a threat to us, but I do

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Speaker 1: think it's fair to say that the Iranians are a

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Speaker 1: threat in general. You could make. I mean, the real

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Speaker 1: answer is, China is the only China is the only

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Speaker 1: country in the world that poses a challenge to us

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Speaker 1: of replacing US as the global hedgemon. They're the only

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Speaker 1: one that for the next hundred years that's a serious,

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Speaker 1: a serious concern. Russia is not there, we go. Russia

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Speaker 1: is not a serious concern on that on that front.

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Speaker 1: But Russia could be a threat in some way. But

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Speaker 1: the part of it that really just got me incensed

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Speaker 1: us to say, the biggest threat that the United States

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Speaker 1: faces the biggest national security geopolitical. So geopolitical threat includes

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Speaker 1: a whole bunch of stuff. Threat to the United States

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Speaker 1: has climate change. This is not a thing that that saying.

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Speaker 1: People would say This is not a thing that you

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Speaker 1: would believe unless you had consumed so much propaganda and

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Speaker 1: you knew that your team, as in Team Lived, the

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Speaker 1: left was so set on this that it's impossible, impossible

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Speaker 1: to get them to think rationally about it. It is

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Speaker 1: complete nonsense to say that the biggest geopolitical threat to

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Speaker 1: America's climate change. I don't care who they have saying

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Speaker 1: they're wrong, and it doesn't matter if they could have

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Speaker 1: the biggest genius in the world sit down and not

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Speaker 1: that they have the biggest genius in the world's usually

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Speaker 1: Al Gore or Leonardo DiCaprio, but they sit down and

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Speaker 1: say that this is what really, what really should concern us.

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Speaker 1: This is the catastrophis mindset that has been wrong countless time,

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Speaker 1: stretching back for centuries, about how we're all going to

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Speaker 1: die unless this thing happens. It's not going to happen.

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Speaker 1: I assure you climate change is not the threat that

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Speaker 1: they think that it is. And then so you have

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Speaker 1: four people say either climate change and just their primary answer,

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Speaker 1: or just throw climate change in there as well, because

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Speaker 1: the left wing base, I mean, the left wing voters

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Speaker 1: in these primaries are all climate change lunatics. I mean,

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Speaker 1: they they think that climate change and if you don't

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Speaker 1: believe in climate change, there's something deeply morally wrong with you.

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Speaker 1: You know, you you don't care about the future of

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Speaker 1: this country, you don't care about the world melting down.

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Speaker 1: You know, you just don't care about any of it.

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Speaker 1: So that is where they are. And I think that

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Speaker 1: it's fair to say that that's a that's a crazy belief,

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Speaker 1: that's not a rational thing for anyone to believe at all.

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Speaker 1: And that was something the Democrats we're saying a lot

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Speaker 1: less than another thing that came up, that the class

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Speaker 1: warfare stuff. It never gets old. Unfortunately it works. You

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Speaker 1: know why, let's all be honest about this. Envy makes

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Speaker 1: for good politics. Envy is a is a human frailty.

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Speaker 1: We all have it in different ways. We all covet

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Speaker 1: you know, our neighbor's wife, or our neighbor's husband, or

428
00:25:08,920 --> 00:25:11,280
Speaker 1: our neighbor's house or you know, and you have to

429
00:25:11,280 --> 00:25:13,439
Speaker 1: fight against that, you know, you have to fight against

430
00:25:13,480 --> 00:25:18,159
Speaker 1: wanting what somebody else has, coveting their success, their wealth

431
00:25:18,200 --> 00:25:23,719
Speaker 1: there there, whatever it may be. But if you're willing

432
00:25:23,760 --> 00:25:28,840
Speaker 1: to pinpoint that and try to appeal to someone's m

433
00:25:28,920 --> 00:25:31,480
Speaker 1: you can get very, very far. And that's where Bill

434
00:25:31,680 --> 00:25:37,359
Speaker 1: Deblasio comes in. Play clip fourteen. This is supposed to

435
00:25:37,400 --> 00:25:39,840
Speaker 1: be the party of working people. Yes, we're supposed to

436
00:25:39,880 --> 00:25:43,000
Speaker 1: be for seventy percent tax rate on the wealthy. Yes,

437
00:25:43,040 --> 00:25:46,760
Speaker 1: we're supposed to be for free college, free public college

438
00:25:47,000 --> 00:25:50,239
Speaker 1: for our young people. We are supposed to break up

439
00:25:50,280 --> 00:25:55,160
Speaker 1: big corporations when they're not serving our democracy. This Democratic

440
00:25:55,200 --> 00:25:58,639
Speaker 1: Party has to be strong and bold and progressive. And

441
00:25:58,720 --> 00:26:01,680
Speaker 1: in New York we've proved that we can do something

442
00:26:01,760 --> 00:26:03,560
Speaker 1: very different. We can put money back in the hands

443
00:26:03,560 --> 00:26:05,640
Speaker 1: of working people. And let me tell you, every time

444
00:26:05,680 --> 00:26:08,600
Speaker 1: you talk about investing in people in their communities, you

445
00:26:08,680 --> 00:26:10,440
Speaker 1: hear folks say there's not enough money. What I say

446
00:26:10,440 --> 00:26:12,680
Speaker 1: of them every single time is there's plenty of money

447
00:26:12,720 --> 00:26:14,760
Speaker 1: in this world. There's plenty of money in this country.

448
00:26:14,920 --> 00:26:19,240
Speaker 1: It's just in the wrong hands. Democrats have to fix that.

449
00:26:19,240 --> 00:26:23,879
Speaker 1: That should send a chill down your spine. That he

450
00:26:23,920 --> 00:26:25,640
Speaker 1: will just come out and say, this is the mayor

451
00:26:25,680 --> 00:26:27,879
Speaker 1: of the largest city in the country, I'm coming to

452
00:26:27,880 --> 00:26:31,919
Speaker 1: you from that city right now on this show. That

453
00:26:32,040 --> 00:26:35,680
Speaker 1: there's plenty of money, it's just in the wrong hands.

454
00:26:37,400 --> 00:26:40,400
Speaker 1: What a statement, What a thing to say. I mean,

455
00:26:40,440 --> 00:26:43,840
Speaker 1: this is, you know, right out of the Carl Marks

456
00:26:43,880 --> 00:26:50,000
Speaker 1: playbook here. This is astonishing stuff for a major American

457
00:26:50,080 --> 00:26:54,240
Speaker 1: political figure, for better, for worse, for worse obviously, to

458
00:26:54,320 --> 00:26:58,000
Speaker 1: be saying on the stage like this, it was just stunning.

459
00:26:59,040 --> 00:27:01,760
Speaker 1: And when he's not telling us that the wrong people

460
00:27:01,800 --> 00:27:03,439
Speaker 1: have the money, then he's saying that people in New

461
00:27:03,480 --> 00:27:05,520
Speaker 1: York City need to watch that you need to watch

462
00:27:05,520 --> 00:27:07,720
Speaker 1: out because of all the all the racists here, especially

463
00:27:07,760 --> 00:27:10,640
Speaker 1: among the police. Play thirteen. So I want to say,

464
00:27:10,640 --> 00:27:13,840
Speaker 1: there's something that sets me apart from all my colleagues

465
00:27:13,960 --> 00:27:16,440
Speaker 1: running in this race, and that is for the last

466
00:27:16,440 --> 00:27:19,800
Speaker 1: twenty one years, I've been raising the black sun in America,

467
00:27:19,920 --> 00:27:22,720
Speaker 1: and I have had to have very very serious talks

468
00:27:22,720 --> 00:27:24,920
Speaker 1: with my son Dante about how to protect himself on

469
00:27:24,960 --> 00:27:27,000
Speaker 1: the streets of our city and all over this country,

470
00:27:27,240 --> 00:27:29,520
Speaker 1: including how to deal with the fact that he has

471
00:27:29,560 --> 00:27:32,240
Speaker 1: to take special caution because there have been too many

472
00:27:32,280 --> 00:27:39,320
Speaker 1: tragedies between our young men and our police too. Panderer

473
00:27:40,160 --> 00:27:43,880
Speaker 1: of the Big Apple build a Blasio. Fortunately, even Democrats

474
00:27:43,920 --> 00:27:46,360
Speaker 1: won't vote for that guy. You know, I was hoping

475
00:27:46,440 --> 00:27:48,639
Speaker 1: last night was that somebody was going to hand klobaschar

476
00:27:48,920 --> 00:27:51,000
Speaker 1: used combs so she could eat a salad during the break.

477
00:27:51,040 --> 00:27:53,399
Speaker 1: I didn't want her to get low blood sugar. Be

478
00:27:53,520 --> 00:27:58,080
Speaker 1: right back. Democrats are solely responsible for the humanitarian crisis

479
00:27:58,119 --> 00:28:02,040
Speaker 1: because they've refused every single effort to shut off the

480
00:28:02,080 --> 00:28:06,720
Speaker 1: magnets of child smuggling. Hard to believe. Well, let me

481
00:28:06,800 --> 00:28:10,240
Speaker 1: be perfectly clearer. I'm glad the Speaker and the administration

482
00:28:10,240 --> 00:28:12,840
Speaker 1: are discussing some of these outstanding issues. But if House

483
00:28:12,880 --> 00:28:16,600
Speaker 1: Democrats send the Senate back some partisan effort to disrupt

484
00:28:16,680 --> 00:28:21,720
Speaker 1: our bipartisan progress, we will simply move to table. The

485
00:28:21,760 --> 00:28:24,159
Speaker 1: United States Senate is not going to pass a border

486
00:28:24,160 --> 00:28:26,800
Speaker 1: funding bill that cuts the money for ICE and the

487
00:28:26,880 --> 00:28:29,840
Speaker 1: Department of Defense and not going to happen. We already

488
00:28:29,880 --> 00:28:33,320
Speaker 1: have our compromise, The Shelby Lahy Senate Bill is the

489
00:28:33,359 --> 00:28:37,160
Speaker 1: only game in town. Time to quit playing games, Time

490
00:28:37,200 --> 00:28:43,120
Speaker 1: to make a law, cocaine. Mitch hath spoken this time

491
00:28:43,200 --> 00:28:47,880
Speaker 1: it quit playing games. He's right. The Democrats taking the

492
00:28:47,960 --> 00:28:51,400
Speaker 1: position that they're going to get some other cuts in

493
00:28:51,680 --> 00:28:53,880
Speaker 1: enforcement measures. I mean, this couldn't be any more obvious.

494
00:28:53,880 --> 00:28:56,120
Speaker 1: Could you imagine, just think about this for a moment.

495
00:28:56,560 --> 00:28:59,320
Speaker 1: If we were dealing with any other area of criminal law,

496
00:28:59,360 --> 00:29:02,160
Speaker 1: and there was a crisis, right if we had well,

497
00:29:02,160 --> 00:29:04,160
Speaker 1: we do have a drug crisis in this country, but

498
00:29:04,640 --> 00:29:09,120
Speaker 1: if there was a burglary crisis, and them which because

499
00:29:09,120 --> 00:29:11,720
Speaker 1: burglary is illegal, and the Democrats came along and they said,

500
00:29:11,760 --> 00:29:17,200
Speaker 1: all right, look, will we're willing to to put more

501
00:29:17,240 --> 00:29:20,080
Speaker 1: more you know, treatment programs in place for people who

502
00:29:20,160 --> 00:29:24,760
Speaker 1: are compulsive thieves, but we don't want to do anything

503
00:29:24,760 --> 00:29:27,040
Speaker 1: to help the burglary units of the police departments. We

504
00:29:27,280 --> 00:29:29,760
Speaker 1: don't want there to be you know, more staffing to

505
00:29:30,280 --> 00:29:32,960
Speaker 1: help investigate these crimes. We're only going to work on

506
00:29:33,240 --> 00:29:35,240
Speaker 1: the treatment side of the equation. I think people would

507
00:29:35,240 --> 00:29:38,640
Speaker 1: say that they were nuts, or if they were going

508
00:29:38,680 --> 00:29:41,360
Speaker 1: to say that, we're gonna have deferred prosecution agreements for

509
00:29:41,400 --> 00:29:43,560
Speaker 1: everybody doing burglary and that's it, so there's no real

510
00:29:43,600 --> 00:29:47,600
Speaker 1: punishment for it. You just steal stuff and then you

511
00:29:47,640 --> 00:29:49,400
Speaker 1: get let go. But we're gonna make sure you let

512
00:29:49,400 --> 00:29:52,840
Speaker 1: go quickly and humanely. That's that's what they really push for.

513
00:29:53,000 --> 00:29:56,320
Speaker 1: It's it's maddening, folks. It's maddening that they don't want

514
00:29:56,360 --> 00:29:59,120
Speaker 1: any enforcement measures to be in place that has been

515
00:30:00,320 --> 00:30:06,120
Speaker 1: clear for a long time here. They only talked last

516
00:30:06,200 --> 00:30:09,840
Speaker 1: night in this debate about the ways in which they

517
00:30:09,920 --> 00:30:14,560
Speaker 1: would really like to essentially pander to the illegal immigrant

518
00:30:14,600 --> 00:30:19,400
Speaker 1: and predominantly Hispanic community. As we're on air, we got

519
00:30:19,640 --> 00:30:21,800
Speaker 1: we got the Senate right there, they're voting. Okay, they're

520
00:30:21,800 --> 00:30:24,040
Speaker 1: gonna pass it looks like this four point six billion

521
00:30:24,080 --> 00:30:28,720
Speaker 1: dollar boarder bill. And this is just money to deal

522
00:30:28,800 --> 00:30:32,280
Speaker 1: with the facilities and the overcrowding. This isn't going to

523
00:30:33,200 --> 00:30:35,720
Speaker 1: make the problem stop. This isn't going to make the

524
00:30:35,760 --> 00:30:38,440
Speaker 1: problem go away, which is why I think there's so

525
00:30:39,840 --> 00:30:41,960
Speaker 1: little hope that this is going to be something that

526
00:30:42,480 --> 00:30:46,040
Speaker 1: doesn't continue to just drag on and on. There are

527
00:30:46,200 --> 00:30:51,680
Speaker 1: reasons why people are coming here illegally, and those reasons

528
00:30:52,800 --> 00:30:55,920
Speaker 1: are not going away because of what Democrats are doing.

529
00:30:56,000 --> 00:30:58,920
Speaker 1: And from last night, as we started off the show

530
00:30:58,920 --> 00:31:02,880
Speaker 1: discussing Democrats are crazy, and they are crazy on this issue,

531
00:31:03,560 --> 00:31:08,160
Speaker 1: but somehow they've managed to create a narrative that makes

532
00:31:08,760 --> 00:31:11,960
Speaker 1: Republicans feel like they need to be on defense here. Well,

533
00:31:12,280 --> 00:31:14,240
Speaker 1: I shouldn't say somehow, this is what they always do.

534
00:31:14,640 --> 00:31:19,120
Speaker 1: But even people within the bureaucracy of enforcement itself are

535
00:31:19,200 --> 00:31:21,360
Speaker 1: feeling the heat and This is an AP News story

536
00:31:21,400 --> 00:31:24,600
Speaker 1: today about the turmoil inside the Department of Homeland Security

537
00:31:24,640 --> 00:31:30,880
Speaker 1: over this rede leaks, pointed accusations, a top officials resignation,

538
00:31:31,320 --> 00:31:35,040
Speaker 1: and above all, increasingly dire conditions for migrants, those who

539
00:31:35,080 --> 00:31:37,120
Speaker 1: make it across the border and those who fails. Captured

540
00:31:37,160 --> 00:31:39,680
Speaker 1: in the searing images of a father clutching a child then,

541
00:31:39,720 --> 00:31:44,000
Speaker 1: which everyone has been quite focused on. But this is

542
00:31:44,040 --> 00:31:47,080
Speaker 1: what the AP story says. The Department of Homeland Security

543
00:31:47,080 --> 00:31:49,680
Speaker 1: has entered a new stage of dysfunction and finger pointing

544
00:31:50,160 --> 00:31:53,640
Speaker 1: as the administration continues to rearrange staff and push hardline rhetoric,

545
00:31:54,680 --> 00:31:57,960
Speaker 1: squabbling and jockeying over jobs. Comes from an outrage over

546
00:31:57,960 --> 00:32:01,160
Speaker 1: reports for children who held the border. And there's just

547
00:32:01,280 --> 00:32:06,280
Speaker 1: all this, all this now, all these accusations about people

548
00:32:06,360 --> 00:32:09,600
Speaker 1: leaking you. At last week, Mark Morgan, newly installed as

549
00:32:09,640 --> 00:32:11,720
Speaker 1: acting director of ICE, saw to please his boss by

550
00:32:11,760 --> 00:32:16,600
Speaker 1: moving forward with an operation targeting families. Then people said

551
00:32:16,640 --> 00:32:21,440
Speaker 1: Macalinan may have leaked about this to stop it from happening.

552
00:32:21,920 --> 00:32:23,880
Speaker 1: Now there's all this finger pointing, all this mess here.

553
00:32:23,960 --> 00:32:27,000
Speaker 1: Here's what's going on. People that work in the government

554
00:32:27,640 --> 00:32:31,120
Speaker 1: have gotten the message from the media from the libs

555
00:32:31,160 --> 00:32:34,640
Speaker 1: from the left that if you try and do what

556
00:32:34,720 --> 00:32:37,960
Speaker 1: Trump wants you to do, if you go along with

557
00:32:38,000 --> 00:32:40,960
Speaker 1: what Trump is trying to accomplish at the border, they

558
00:32:41,040 --> 00:32:45,040
Speaker 1: will settle scores with you even after you leave government service.

559
00:32:46,320 --> 00:32:48,800
Speaker 1: The left is very good at this. They're good at

560
00:32:48,880 --> 00:32:52,040
Speaker 1: witch hunts, they're good at pressure campaigns at Boycott's and

561
00:32:52,160 --> 00:32:57,080
Speaker 1: now at a form of blacklisting. They blacklist people that

562
00:32:57,200 --> 00:33:00,720
Speaker 1: work in a Republican administration. This is that they've done

563
00:33:00,760 --> 00:33:03,760
Speaker 1: this so that if and then there's these have been campaigns.

564
00:33:03,760 --> 00:33:05,680
Speaker 1: I mean, this has really happened. I'm not imagining this.

565
00:33:05,760 --> 00:33:10,800
Speaker 1: They've they've pushed around these uh petitions, you know, don't

566
00:33:10,960 --> 00:33:13,719
Speaker 1: hire anybody, don't work with anybody, don't do anything with

567
00:33:13,760 --> 00:33:17,040
Speaker 1: anybody who works for the Trump administration when they leave

568
00:33:17,080 --> 00:33:20,200
Speaker 1: government service, even if they are practitioners, even if they

569
00:33:20,200 --> 00:33:24,240
Speaker 1: are people who are just doing a job like law

570
00:33:24,320 --> 00:33:27,160
Speaker 1: enforcement in DHS. This is about homeland security. It's not

571
00:33:27,200 --> 00:33:31,000
Speaker 1: supposed to be political. It's supposed to be working within

572
00:33:31,320 --> 00:33:33,840
Speaker 1: the framework of the laws that we have to protect

573
00:33:33,880 --> 00:33:38,560
Speaker 1: all of us. And Nope, not anymore. It used to

574
00:33:38,600 --> 00:33:40,280
Speaker 1: be that if you came out of an administration to

575
00:33:40,360 --> 00:33:42,760
Speaker 1: seeing your post. You could look forward to, you could

576
00:33:42,760 --> 00:33:45,080
Speaker 1: look forward to the Biden treatment. You know, two hundred

577
00:33:45,120 --> 00:33:50,040
Speaker 1: thousand dollars speeches Angel hare pasta biscotti top with a

578
00:33:50,040 --> 00:33:53,080
Speaker 1: little bit of I was gonna say parmisan, but you

579
00:33:53,080 --> 00:33:55,560
Speaker 1: don't put parmisan on a biscotti mark, No, you put

580
00:33:56,520 --> 00:33:59,200
Speaker 1: what do you call it? The what's the what do

581
00:33:59,240 --> 00:34:01,120
Speaker 1: you call it? Is like the creme, but it's not

582
00:34:01,160 --> 00:34:06,840
Speaker 1: the gelato, see ya? You put a gelato on the bascatti. Right,

583
00:34:06,880 --> 00:34:08,560
Speaker 1: that's what you're supposed to get. If you're a senior

584
00:34:08,560 --> 00:34:10,960
Speaker 1: government official, you get all the fancy stuff. If you're

585
00:34:10,960 --> 00:34:13,600
Speaker 1: a senior government official, work in a DHS for Trump

586
00:34:14,000 --> 00:34:15,600
Speaker 1: and you leave and you try to get a job

587
00:34:15,600 --> 00:34:17,080
Speaker 1: private sector, you want to be on the board of

588
00:34:17,080 --> 00:34:18,600
Speaker 1: the company. Any of this stuff, you know what ends

589
00:34:18,640 --> 00:34:23,120
Speaker 1: up happening nothing because people won't talk to you, they

590
00:34:23,160 --> 00:34:26,040
Speaker 1: won't touch you, and all they see this is the

591
00:34:26,040 --> 00:34:28,960
Speaker 1: thing that they don't. They don't just work on public opinion.

592
00:34:29,239 --> 00:34:34,000
Speaker 1: The left creates professional and personal fear among those that

593
00:34:34,040 --> 00:34:37,000
Speaker 1: are supposed to enact the Trump agenda. And this is

594
00:34:37,000 --> 00:34:40,200
Speaker 1: how you have a Department of Homeland Security that has

595
00:34:40,239 --> 00:34:43,040
Speaker 1: now senior people that are pointing fingers talking about leaks.

596
00:34:43,360 --> 00:34:46,440
Speaker 1: You get, you get people that are have already resigned.

597
00:34:46,800 --> 00:34:48,960
Speaker 1: They're trying to get out of there because they don't

598
00:34:49,000 --> 00:34:52,000
Speaker 1: want to deal with what the Libs will do to

599
00:34:52,040 --> 00:34:54,239
Speaker 1: them when the time comes. They don't want to deal

600
00:34:54,280 --> 00:34:57,160
Speaker 1: with what will happen after they leave office if they're

601
00:34:57,160 --> 00:34:59,360
Speaker 1: a part of this. I mean, you've got members of

602
00:34:59,440 --> 00:35:02,400
Speaker 1: Congress that Trump is running concentration camps at the border,

603
00:35:03,280 --> 00:35:10,040
Speaker 1: and obviously Libs don't appreciate that. I'm sorry. Obviously that's

604
00:35:10,080 --> 00:35:14,880
Speaker 1: going to impact somebody's job prospects. To have you worked

605
00:35:14,880 --> 00:35:19,759
Speaker 1: in a situation where they're told that they're the equivalent

606
00:35:19,920 --> 00:35:22,400
Speaker 1: of you know, the the Nazis right, And this is

607
00:35:22,440 --> 00:35:25,720
Speaker 1: what libs do. They're very effective at this, at putting

608
00:35:25,840 --> 00:35:29,640
Speaker 1: reputational risk on the shoulders of those who are working

609
00:35:29,640 --> 00:35:32,680
Speaker 1: in law enforcement under this administration, who are working within

610
00:35:32,719 --> 00:35:36,399
Speaker 1: the federal government for this president. You do this at

611
00:35:36,440 --> 00:35:40,200
Speaker 1: your peril, even if the public supports you by a majority.

612
00:35:41,200 --> 00:35:43,200
Speaker 1: That's what's going on inside DAHS as I see it.

613
00:35:43,200 --> 00:35:46,160
Speaker 1: We'll be right back. Some big Supreme Court cases came

614
00:35:46,200 --> 00:35:50,080
Speaker 1: down today and uh, you know, we have and culter

615
00:35:50,239 --> 00:35:54,120
Speaker 1: with us now to talk about why once again conservative

616
00:35:54,200 --> 00:35:57,319
Speaker 1: justices don't seem to be able to stay, stay on

617
00:35:57,360 --> 00:36:00,239
Speaker 1: their team, stay on the script. John Roberts, I've had

618
00:36:00,320 --> 00:36:02,640
Speaker 1: questions about him all along. But we'll get aunt Away

619
00:36:02,680 --> 00:36:04,120
Speaker 1: in and tell us what's really happening here. She is,

620
00:36:04,160 --> 00:36:07,239
Speaker 1: of course a cult or thirteen bestsellers. You know her,

621
00:36:07,360 --> 00:36:09,600
Speaker 1: you see her, and thank you so much. All Right,

622
00:36:09,600 --> 00:36:11,640
Speaker 1: we got these two, let's start. Can we start with

623
00:36:11,680 --> 00:36:14,839
Speaker 1: the jerrymandering case? Just to dispense with this, I want

624
00:36:14,840 --> 00:36:17,160
Speaker 1: to know what is the standard? What is the standard

625
00:36:17,200 --> 00:36:20,520
Speaker 1: that liberals offer for it's not going to be political?

626
00:36:20,600 --> 00:36:22,799
Speaker 1: How we decide what congressional districts are in our state?

627
00:36:22,840 --> 00:36:28,160
Speaker 1: How does that work? Well? Um, First of all, I

628
00:36:28,200 --> 00:36:30,839
Speaker 1: should throw in a caveat to this after saying sure,

629
00:36:30,880 --> 00:36:32,680
Speaker 1: I'd love to discuss the case to day. I haven't.

630
00:36:32,680 --> 00:36:36,680
Speaker 1: I haven't read them yet, but I have a general

631
00:36:36,719 --> 00:36:41,080
Speaker 1: idea what they concluded. And on the jerrymandering case, Um,

632
00:36:41,239 --> 00:36:45,839
Speaker 1: if you were an assiduous viewer of MSNBC, you would

633
00:36:45,840 --> 00:36:49,959
Speaker 1: know that the only people who engage in jerrymandering are Republicans.

634
00:36:50,000 --> 00:36:52,480
Speaker 1: Fuck Saxon, Um. Every time I hear them saying this

635
00:36:52,600 --> 00:36:57,439
Speaker 1: on MSNBC. Um, I laugh. Well, it's like big money

636
00:36:57,440 --> 00:37:00,160
Speaker 1: in politics, only only we have big money in politics,

637
00:37:00,160 --> 00:37:03,799
Speaker 1: some dark money in politics that the sorrows money doesn't count. Yeah, yeah,

638
00:37:03,880 --> 00:37:09,520
Speaker 1: go look at m like Illinois their their division of

639
00:37:09,600 --> 00:37:13,600
Speaker 1: congressional districts. It's basically an octopus going out from Chicago.

640
00:37:13,760 --> 00:37:16,840
Speaker 1: It looks like modern art. No, it is the Democrats.

641
00:37:16,880 --> 00:37:19,719
Speaker 1: And for years, for what am I saying? For decades,

642
00:37:20,239 --> 00:37:23,800
Speaker 1: Texas every four years would vote for a Republican president,

643
00:37:24,080 --> 00:37:26,799
Speaker 1: and the number of Democrats in Congress it was something like,

644
00:37:27,440 --> 00:37:30,359
Speaker 1: you know, three to one Democrats too, Republicans who were

645
00:37:30,360 --> 00:37:34,640
Speaker 1: elected to Congress. Now that that happens from jerrymandering. Yeah, okay,

646
00:37:34,640 --> 00:37:37,160
Speaker 1: so both sides are going to complain when the other

647
00:37:37,160 --> 00:37:40,040
Speaker 1: side does it. But your question, I think is the

648
00:37:40,080 --> 00:37:44,640
Speaker 1: most important question, which is and I gathered the court

649
00:37:45,360 --> 00:37:48,520
Speaker 1: washed its hands of the matter, and I think that's appropriate.

650
00:37:48,520 --> 00:37:52,239
Speaker 1: What standard do you use here? Whenever states passed these

651
00:37:52,320 --> 00:37:55,400
Speaker 1: laws saying oh we'll have an independent commission decide this,

652
00:37:56,280 --> 00:37:59,680
Speaker 1: it doesn't tend to end up all that much better. Sorry,

653
00:37:59,760 --> 00:38:03,319
Speaker 1: this is just I mean, this is maybe maybe someone

654
00:38:03,360 --> 00:38:05,960
Speaker 1: can persuade me otherwise, I would love to have you know,

655
00:38:06,480 --> 00:38:09,560
Speaker 1: be able to to be able to stop it. But

656
00:38:10,000 --> 00:38:11,840
Speaker 1: I think you just have to throw up your hands

657
00:38:11,840 --> 00:38:13,880
Speaker 1: and say, this is one of the results of winning

658
00:38:14,360 --> 00:38:18,080
Speaker 1: and the other cases citizenship, and what's going on with

659
00:38:18,120 --> 00:38:21,040
Speaker 1: this one? Well, as much as I would like to

660
00:38:21,080 --> 00:38:25,080
Speaker 1: attack Justice Roberts, having been the lonely voice in the

661
00:38:25,120 --> 00:38:29,640
Speaker 1: woods warning conservatives against him when he was nominated, technically

662
00:38:29,680 --> 00:38:31,520
Speaker 1: what the court found was they sent it back to

663
00:38:31,560 --> 00:38:36,000
Speaker 1: the district Court, Um, saying, m this is the executive

664
00:38:36,040 --> 00:38:39,400
Speaker 1: branch's rule making authority. They can make these rules, but

665
00:38:39,400 --> 00:38:41,480
Speaker 1: but they have to have a you know, a rational

666
00:38:41,560 --> 00:38:44,800
Speaker 1: basis for it. You have to explain your decision better.

667
00:38:44,920 --> 00:38:47,680
Speaker 1: And this explanation isn't very good. So come back and

668
00:38:47,719 --> 00:38:50,120
Speaker 1: give us, give us an explanation for why you want

669
00:38:50,120 --> 00:38:54,919
Speaker 1: to ask this question. It could be. And again I'm

670
00:38:55,000 --> 00:38:58,160
Speaker 1: not really in a mood to defend Roberts. But what

671
00:38:58,160 --> 00:39:02,640
Speaker 1: what Justice Burger always did, um, because he was the

672
00:39:02,719 --> 00:39:07,160
Speaker 1: chief justice of a very liberal court. Um, he'd he'd

673
00:39:07,160 --> 00:39:09,040
Speaker 1: switch his vote at the last minute to vote with

674
00:39:09,080 --> 00:39:11,640
Speaker 1: the majority so that he could write the opinion and

675
00:39:11,760 --> 00:39:14,399
Speaker 1: not make it as crazy as it might otherwise. Had

676
00:39:14,480 --> 00:39:18,040
Speaker 1: been so some of these decisions that Robert signs onto

677
00:39:18,080 --> 00:39:20,840
Speaker 1: where they say, oh, he's with the liberals. With liberals,

678
00:39:20,840 --> 00:39:23,399
Speaker 1: it could be him taking one for the team, so

679
00:39:23,520 --> 00:39:27,520
Speaker 1: that a bad decision, well who knows um is going

680
00:39:27,560 --> 00:39:31,799
Speaker 1: to be is going to be mitigated. But we can

681
00:39:31,840 --> 00:39:34,040
Speaker 1: still come out of that one. Okay, obviously it makes

682
00:39:34,040 --> 00:39:38,000
Speaker 1: a huge difference. Um, well, why is there such such

683
00:39:38,040 --> 00:39:41,920
Speaker 1: a rejection of getting the data? And you know, another

684
00:39:41,920 --> 00:39:43,839
Speaker 1: place where people tell me that I'm crazy and they

685
00:39:43,840 --> 00:39:45,960
Speaker 1: say that you're crazy is on It is on the

686
00:39:46,080 --> 00:39:48,680
Speaker 1: number of illegal aliens who who are in the country.

687
00:39:48,880 --> 00:39:50,520
Speaker 1: I look at them, like, you really, you guys, really

688
00:39:50,520 --> 00:39:52,160
Speaker 1: believe the last ten years it's been eleven We got

689
00:39:52,160 --> 00:39:54,160
Speaker 1: a million this year alone at least. And that's, by

690
00:39:54,200 --> 00:39:56,680
Speaker 1: the way, that's just from Central America. That's not including

691
00:39:56,840 --> 00:39:58,960
Speaker 1: all the Cubans and the Benggladeshi's allays other people I

692
00:39:58,960 --> 00:40:01,880
Speaker 1: see running Across' actual seen running across the border in

693
00:40:01,880 --> 00:40:05,200
Speaker 1: the last six months with my own eyes. Border patrol laughs.

694
00:40:05,200 --> 00:40:07,240
Speaker 1: When you say it's eleven million, they're like, yeah, right, buddy,

695
00:40:07,280 --> 00:40:09,359
Speaker 1: Like we're getting thousands and thousands a day. Do the math.

696
00:40:10,160 --> 00:40:12,640
Speaker 1: But but you know, how is it? The government never

697
00:40:12,680 --> 00:40:15,760
Speaker 1: gets an answer here. I described as an Adios America.

698
00:40:15,800 --> 00:40:19,320
Speaker 1: They're all going every report that tells you eleven million,

699
00:40:19,520 --> 00:40:22,759
Speaker 1: and they've been saying roughly eleven million, you know, maybe

700
00:40:22,800 --> 00:40:25,640
Speaker 1: eleven point eight to twelve point five, but right around

701
00:40:25,680 --> 00:40:28,399
Speaker 1: there since the beginning of the Bush administration. So we're

702
00:40:28,440 --> 00:40:33,200
Speaker 1: supposed to believe that it has not changed for fifteen

703
00:40:33,280 --> 00:40:38,920
Speaker 1: years now. No, that defies plausibility. So in Adios America,

704
00:40:39,440 --> 00:40:41,600
Speaker 1: what they're doing is they're going by census reports. So

705
00:40:41,680 --> 00:40:45,200
Speaker 1: people who have who have crossed through thousands of miles

706
00:40:45,200 --> 00:40:48,799
Speaker 1: of desert left their families these days, dragged the kid

707
00:40:48,880 --> 00:40:53,520
Speaker 1: with them, stolen IDs, ripped off American workers, written in

708
00:40:53,560 --> 00:40:57,239
Speaker 1: the back of a flatbed truck. Someone comes to them

709
00:40:57,239 --> 00:40:59,480
Speaker 1: and says, I'm from the government. Would you fill out

710
00:40:59,520 --> 00:41:02,160
Speaker 1: this survey please. We're supposed to believe that they're filling

711
00:41:02,160 --> 00:41:05,080
Speaker 1: it out and they are being totally honest. That's where

712
00:41:05,080 --> 00:41:08,360
Speaker 1: the eleven million figure comes from. Everyone's using the census report.

713
00:41:08,440 --> 00:41:11,120
Speaker 1: So you would think everyone who is out there using

714
00:41:11,120 --> 00:41:15,040
Speaker 1: the census report from Center for Immigration Studies to Pew,

715
00:41:16,200 --> 00:41:20,040
Speaker 1: you'd think they'd want a better answer on this. But

716
00:41:20,160 --> 00:41:23,000
Speaker 1: it matters for a lot of things. It matters for

717
00:41:23,680 --> 00:41:27,000
Speaker 1: the number of congressional districts there are. It matters for

718
00:41:27,200 --> 00:41:31,560
Speaker 1: federal federal programs, how much money your district gets. They

719
00:41:31,600 --> 00:41:33,680
Speaker 1: have these districts called I think they call them ghost

720
00:41:33,760 --> 00:41:37,160
Speaker 1: districts where there are so many illegal aliens who can't

721
00:41:37,239 --> 00:41:41,879
Speaker 1: vote in a district. A congressperson is being elected by

722
00:41:41,920 --> 00:41:46,000
Speaker 1: a very very small number of people. That seems like

723
00:41:46,040 --> 00:41:48,319
Speaker 1: something we should want to know. Yeah, I feel like

724
00:41:48,320 --> 00:41:50,520
Speaker 1: we should try to get answers about all this. But

725
00:41:50,560 --> 00:41:54,040
Speaker 1: there's obviously is watering down the votes of people who

726
00:41:54,080 --> 00:41:57,160
Speaker 1: don't live in those ghost districts. So it's one thing.

727
00:41:57,200 --> 00:42:00,600
Speaker 1: It's it's like applying Senate rules to the House. So

728
00:42:00,640 --> 00:42:04,000
Speaker 1: when the Senate, everyone understands every state gets two senators

729
00:42:04,000 --> 00:42:06,320
Speaker 1: and it doesn't matter if you're a teeny tiny little

730
00:42:06,320 --> 00:42:11,480
Speaker 1: Delaware or great big California. But obviously, as a consequences,

731
00:42:11,680 --> 00:42:15,279
Speaker 1: someone's vote for Senate in California is not worth as

732
00:42:15,360 --> 00:42:18,440
Speaker 1: much as someone's vote for Senate in um, say, Rhode

733
00:42:18,480 --> 00:42:21,680
Speaker 1: Island or Delaware. Oh well, that's how the constitution works.

734
00:42:21,680 --> 00:42:24,800
Speaker 1: It isn't really, it isn't a perfect democracy. It's a republic.

735
00:42:24,840 --> 00:42:27,520
Speaker 1: We all know that, okay, But if if when you're

736
00:42:27,600 --> 00:42:32,640
Speaker 1: jamming in illegal aliens and counting them for purposes of

737
00:42:31,920 --> 00:42:36,359
Speaker 1: how of how big your congressional district is that that

738
00:42:36,440 --> 00:42:39,919
Speaker 1: turns a House race into a Senate race where your vote,

739
00:42:40,000 --> 00:42:44,240
Speaker 1: for example, in Maxiine Waters District heavily full of illegal

740
00:42:44,800 --> 00:42:49,600
Speaker 1: illegal aliens um counts vastly more than your vote in

741
00:42:50,120 --> 00:42:53,360
Speaker 1: you know, some some county that are some congressional district

742
00:42:53,400 --> 00:42:56,640
Speaker 1: that's made up of all Americas. Yeah. Again, I think

743
00:42:56,680 --> 00:42:59,000
Speaker 1: that this is something where we should all want the answers,

744
00:42:59,000 --> 00:43:01,239
Speaker 1: but there's clear houstility. Do you think the administration didn't

745
00:43:01,239 --> 00:43:02,920
Speaker 1: mess up on this one? Though? It seems like Wilbur

746
00:43:03,000 --> 00:43:05,399
Speaker 1: Ross had a little bit of a mister mcgoomom in here.

747
00:43:06,440 --> 00:43:09,760
Speaker 1: I'm not sure that I haven't looked at closely enough, Okay,

748
00:43:09,800 --> 00:43:12,960
Speaker 1: I'm just because it seems to me like they should

749
00:43:12,960 --> 00:43:14,640
Speaker 1: have known that. You know, they shouldn't write out like

750
00:43:14,680 --> 00:43:18,600
Speaker 1: well this will help the Republicans and put that in memos.

751
00:43:18,000 --> 00:43:20,640
Speaker 1: It's not slick, guys. They could be better. And before

752
00:43:20,680 --> 00:43:22,000
Speaker 1: we let you go, I'm just wondering, how are you

753
00:43:22,040 --> 00:43:24,319
Speaker 1: feeling about how do you feel about Trump these days?

754
00:43:24,360 --> 00:43:28,920
Speaker 1: Now that we're actually in the election season. I'd feel

755
00:43:28,920 --> 00:43:32,479
Speaker 1: a lot better if the Democrats would put up a

756
00:43:32,560 --> 00:43:38,160
Speaker 1: plausible candidate to frighten Trump, because I mean, if he

757
00:43:38,239 --> 00:43:40,880
Speaker 1: won't keep his central campaign promises when he has to

758
00:43:40,920 --> 00:43:45,200
Speaker 1: worry about reelection, is he more likely to keep those

759
00:43:45,280 --> 00:43:48,400
Speaker 1: promises when he doesn't have to worry about reelection. No,

760
00:43:48,600 --> 00:43:50,520
Speaker 1: we're looking in a second term where all you'll have

761
00:43:50,600 --> 00:43:53,360
Speaker 1: to worry about is or think about concern himself is

762
00:43:53,440 --> 00:43:57,279
Speaker 1: making sure that Ivanka's purse business does well and you know,

763
00:43:57,320 --> 00:44:02,680
Speaker 1: winning the hearts and minds of of Manhattan liberals. Though

764
00:44:02,719 --> 00:44:04,360
Speaker 1: I don't think that's ever going to happen, so he

765
00:44:04,400 --> 00:44:06,440
Speaker 1: may give up on that part pretty fast. But I

766
00:44:06,480 --> 00:44:10,400
Speaker 1: would like i've we were we had ten seconds on

767
00:44:10,440 --> 00:44:13,080
Speaker 1: the clock on election day. Now we have about a

768
00:44:13,080 --> 00:44:16,160
Speaker 1: half a second to get him to fulfillless promises before

769
00:44:16,160 --> 00:44:19,560
Speaker 1: the end of his first term. The Democrats, however, are

770
00:44:19,680 --> 00:44:24,120
Speaker 1: really letting me down by running primarily crazy. The last

771
00:44:24,200 --> 00:44:26,880
Speaker 1: night was kind of amazing. It wasn't really that it

772
00:44:26,960 --> 00:44:28,840
Speaker 1: wasn't really great theater because we've heard a lot of

773
00:44:28,840 --> 00:44:30,520
Speaker 1: this stuff before, but it was it was a really

774
00:44:30,560 --> 00:44:36,319
Speaker 1: concentrated dose of delusion and insanity on the stage. Yeah. Yes, well,

775
00:44:36,360 --> 00:44:39,560
Speaker 1: I was watching with one liberal and one moderate out here,

776
00:44:40,560 --> 00:44:45,560
Speaker 1: and we all liked Tulsi Gabbard, I mean genuinely liked.

777
00:44:45,680 --> 00:44:48,839
Speaker 1: And the guy for Delaney Baltimore. Yeah, Delaney. Yeah, he's

778
00:44:48,920 --> 00:44:50,680
Speaker 1: he's he's a he's a normal human being. You could

779
00:44:50,680 --> 00:44:52,680
Speaker 1: have I've actually interviewed him. He's a normal person you

780
00:44:52,680 --> 00:44:54,880
Speaker 1: could have a conversation with. Yeah. I was kind of

781
00:44:54,920 --> 00:44:57,840
Speaker 1: surprised by that. After that, the three of us totally disagreed,

782
00:44:57,920 --> 00:45:00,319
Speaker 1: but all three liked those. Yeah, but delay he has

783
00:45:00,440 --> 00:45:03,560
Speaker 1: has has like less chance than Betto of becoming president

784
00:45:04,280 --> 00:45:06,719
Speaker 1: and Bettos chances are not good. Who is there? And

785
00:45:06,840 --> 00:45:09,040
Speaker 1: I gotta ask you who is the craziest? I mean,

786
00:45:09,080 --> 00:45:10,840
Speaker 1: if you if you had to just pick pure crazy

787
00:45:10,840 --> 00:45:13,640
Speaker 1: from at Democrat stage tonight or last night, we'll put

788
00:45:13,640 --> 00:45:17,160
Speaker 1: the whole field in play. Who's the wackiest? Um? Well,

789
00:45:17,200 --> 00:45:21,319
Speaker 1: it's kind of cheating, but I think Deblasio, Yes, that

790
00:45:21,440 --> 00:45:24,880
Speaker 1: is the correct as chance as Delaney. That's true. But

791
00:45:24,960 --> 00:45:28,719
Speaker 1: I Deblasio is hated by liberals in Manhattan. I've done.

792
00:45:28,719 --> 00:45:30,719
Speaker 1: I've tried to tell everybody I can about how he

793
00:45:30,800 --> 00:45:33,160
Speaker 1: used to be Warren Wilhelm, and that just explains so

794
00:45:33,239 --> 00:45:35,560
Speaker 1: much more. When they understand. Why do you say that

795
00:45:35,680 --> 00:45:37,759
Speaker 1: I looked it up for them last night. I knew

796
00:45:37,760 --> 00:45:39,880
Speaker 1: it was some crazy name, and that's what we were

797
00:45:39,920 --> 00:45:42,560
Speaker 1: calling him throughout the debate. He didn't believe me when

798
00:45:42,560 --> 00:45:44,120
Speaker 1: I first told him the freedom honey, and we call

799
00:45:44,239 --> 00:45:48,560
Speaker 1: him Kaiser Vilhelm. Just so everybody, everybody remembers and call

800
00:45:48,640 --> 00:45:50,600
Speaker 1: to everybody if you haven't already, buy one of her

801
00:45:50,640 --> 00:45:54,759
Speaker 1: thirteen best selling books, and obviously follow her for great, funny,

802
00:45:54,800 --> 00:45:57,040
Speaker 1: wonderful insights on Twitter and have fun out on the

803
00:45:57,120 --> 00:45:59,120
Speaker 1: left coast. We'll talk to you soon, talk to you soon.

804
00:45:59,160 --> 00:46:07,600
Speaker 1: Back all right, team, we'll be back center Booker, what

805
00:46:07,680 --> 00:46:09,680
Speaker 1: would you do on day one? And this is a

806
00:46:09,719 --> 00:46:20,320
Speaker 1: situation that the next president will inherit acceptable president too, Dimonazado,

807
00:46:20,440 --> 00:46:25,120
Speaker 1: Los Imigrant says, in acceptable vote one day one. I

808
00:46:25,239 --> 00:46:28,160
Speaker 1: will make sure that number one, we end the ice

809
00:46:28,320 --> 00:46:31,320
Speaker 1: policies and the customs and border policies are violating the

810
00:46:31,440 --> 00:46:35,640
Speaker 1: human rights. This economy has got to work for everyone,

811
00:46:36,280 --> 00:46:38,879
Speaker 1: and right now we know that it isn't, and it's

812
00:46:38,920 --> 00:46:40,719
Speaker 1: going to take all of us coming together to make

813
00:46:40,760 --> 00:46:47,640
Speaker 1: sure that it does. Necessit almost include Goda, Persona and Alexia.

814
00:46:48,160 --> 00:46:55,640
Speaker 1: That seems almost include Goda persona in West Democacia. Now

815
00:46:56,000 --> 00:46:59,640
Speaker 1: I know, I know a last Branio personally, right, I

816
00:46:59,760 --> 00:47:02,839
Speaker 1: took French, German, Arabic. I speak very little of any

817
00:47:02,880 --> 00:47:04,480
Speaker 1: of those things now a little bit of French just

818
00:47:04,520 --> 00:47:07,759
Speaker 1: because the restaurants. Um, I mean, I guess I can

819
00:47:07,800 --> 00:47:10,439
Speaker 1: go into a German restaurant and orders the Schnitzel. Yeah,

820
00:47:14,400 --> 00:47:17,360
Speaker 1: that's about where I or the car tough, which is

821
00:47:17,800 --> 00:47:24,560
Speaker 1: a potato. But Mike, the pandering last night was world class,

822
00:47:24,600 --> 00:47:26,239
Speaker 1: I have to say. And I heard people say that

823
00:47:26,320 --> 00:47:29,400
Speaker 1: who do speak Spanish? That the Corey Booker speaking Spanish?

824
00:47:29,440 --> 00:47:32,879
Speaker 1: You're like, ah, what is he? It's not quite may

825
00:47:32,920 --> 00:47:36,399
Speaker 1: of Bloomberg have Last Spaniel, but it's like pretty bad. Yeah,

826
00:47:36,400 --> 00:47:37,960
Speaker 1: he got off to a shaky start there. It didn't

827
00:47:37,960 --> 00:47:40,080
Speaker 1: get in much fat. Yeah, Corey Booker all of a

828
00:47:40,080 --> 00:47:42,719
Speaker 1: sudden was having flashbacks the freshman year Spanish one on

829
00:47:42,840 --> 00:47:49,000
Speaker 1: one or whatever. It was like necesito. You know, it's

830
00:47:49,040 --> 00:47:52,799
Speaker 1: all still of Booker looking at like a side angle

831
00:47:52,840 --> 00:47:55,080
Speaker 1: of Booker looking at Beta when he was speaking Spanish,

832
00:47:55,120 --> 00:47:58,480
Speaker 1: and he was like, man, you're stealing my thunder. I

833
00:47:58,560 --> 00:48:01,319
Speaker 1: mean it's like one after they do this, I gotta

834
00:48:01,360 --> 00:48:04,120
Speaker 1: say uh. Credit credit to Ben Shapiro, You're one of

835
00:48:04,160 --> 00:48:07,120
Speaker 1: my favorites. Last night he wrote that, uh, just wait

836
00:48:07,239 --> 00:48:10,800
Speaker 1: until Elizabeth Warren starts speaking Cherokee. That was well, that

837
00:48:10,920 --> 00:48:13,200
Speaker 1: was well played. That was well played. Yeah, no, I

838
00:48:13,280 --> 00:48:16,360
Speaker 1: mean it's it's amazing. I mean they there was so

839
00:48:16,560 --> 00:48:20,400
Speaker 1: much last night that was unsurprising. But still even when

840
00:48:20,400 --> 00:48:22,640
Speaker 1: you expect some of this, even when you think they're

841
00:48:22,680 --> 00:48:25,920
Speaker 1: going to do this stuff, when they actually do it,

842
00:48:26,040 --> 00:48:30,279
Speaker 1: you find yourself going, oh my gosh. And then there

843
00:48:30,360 --> 00:48:32,160
Speaker 1: was that we didn't get this beforecause it wasn't all

844
00:48:32,200 --> 00:48:34,239
Speaker 1: that important, but the you know, NBC had a little

845
00:48:34,280 --> 00:48:36,600
Speaker 1: bit of a little of a glitch, which is surprising

846
00:48:36,640 --> 00:48:41,080
Speaker 1: for these big fancy networks play for is there a

847
00:48:41,200 --> 00:48:44,560
Speaker 1: role for the federal government in order to play in

848
00:48:44,640 --> 00:48:52,880
Speaker 1: order to get these guns off the streets? What's happening?

849
00:48:53,000 --> 00:49:00,640
Speaker 1: We are hearing our colleagues audio. I yeah, if the

850
00:49:00,760 --> 00:49:02,439
Speaker 1: if the control of them can turn off the mics

851
00:49:02,480 --> 00:49:10,439
Speaker 1: of our previous moderators. You know, we prepare everything. Guess what, guys,

852
00:49:11,280 --> 00:49:13,920
Speaker 1: we are gonna take a quick break. We're gonna get

853
00:49:13,960 --> 00:49:17,520
Speaker 1: this technical uh situation fix. We will be right back.

854
00:49:18,040 --> 00:49:20,799
Speaker 1: I gotta tell you, Mike, of all the nightmares. That's

855
00:49:20,840 --> 00:49:23,279
Speaker 1: something in the media business has. It's not that like

856
00:49:23,480 --> 00:49:26,360
Speaker 1: glitch has happened, but whenever you have something like that

857
00:49:26,600 --> 00:49:29,840
Speaker 1: in an election where you had uh what was it,

858
00:49:30,160 --> 00:49:32,560
Speaker 1: I mean, starting an election, a debate, gosh election. I

859
00:49:32,600 --> 00:49:34,800
Speaker 1: think they said twenty million people watched last night. Some

860
00:49:35,000 --> 00:49:37,680
Speaker 1: crazy it was eleven or twenty. I forget it's milk whatever,

861
00:49:38,120 --> 00:49:41,399
Speaker 1: double digit millions people watching this thing. And the most

862
00:49:41,520 --> 00:49:43,360
Speaker 1: terrifying thing we work in the media business is that

863
00:49:43,400 --> 00:49:45,400
Speaker 1: you get caught on an open mica situation like this.

864
00:49:45,520 --> 00:49:48,799
Speaker 1: We're just like, oh, man, like I shouldn't be eaten

865
00:49:48,920 --> 00:49:51,800
Speaker 1: all those beans, you know, like you just say something

866
00:49:52,800 --> 00:49:54,640
Speaker 1: really not. I mean it could be a lot worse

867
00:49:54,680 --> 00:49:57,480
Speaker 1: than that, obviously too, but like, you know, that's that's

868
00:49:57,480 --> 00:49:59,600
Speaker 1: what keeps me up at night. The one day I'm

869
00:49:59,600 --> 00:50:01,400
Speaker 1: gonna be at some event with millions and millions of

870
00:50:01,440 --> 00:50:04,879
Speaker 1: people listening, and I'm gonna just take that microphone into

871
00:50:04,920 --> 00:50:07,839
Speaker 1: the men's room and all of a sudden, the whole

872
00:50:07,920 --> 00:50:10,000
Speaker 1: country knows me a lot better than they ever intended to.

873
00:50:10,120 --> 00:50:12,120
Speaker 1: Like Leslie Nielsen and Naked Gun. Oh yeah, oh it

874
00:50:12,239 --> 00:50:15,959
Speaker 1: happened to my old colleague happened on Glenn's radio show,

875
00:50:16,320 --> 00:50:19,520
Speaker 1: really and it was one of the most watched YouTube

876
00:50:19,560 --> 00:50:21,279
Speaker 1: clips that I think we ever had. When I was

877
00:50:21,360 --> 00:50:25,240
Speaker 1: at the Blaze where Jeffy, who's a fantastic, the nicest,

878
00:50:25,280 --> 00:50:28,839
Speaker 1: best dude, great guy, Jeffe who's a part of Glenn's show,

879
00:50:29,000 --> 00:50:31,000
Speaker 1: I believe it was. I believe it was Jeffie. I

880
00:50:31,000 --> 00:50:33,040
Speaker 1: don't think it was Stu, And if Stu heard that,

881
00:50:33,080 --> 00:50:34,800
Speaker 1: he'd probably throw something at me. But I think it

882
00:50:34,920 --> 00:50:38,160
Speaker 1: was Jeffie went into the because the bathrooms in Dallas

883
00:50:38,239 --> 00:50:39,480
Speaker 1: or and yeah, it was. It was a toll nak

884
00:50:39,600 --> 00:50:41,560
Speaker 1: and you heard the whole like and then the you know,

885
00:50:41,719 --> 00:50:44,719
Speaker 1: the relief going on the whole thing. I'm not saying

886
00:50:44,760 --> 00:50:47,360
Speaker 1: he wasn't exactly given the like you know, you know,

887
00:50:47,480 --> 00:50:49,200
Speaker 1: like kind of like leading into it too much or whatever,

888
00:50:49,520 --> 00:50:54,120
Speaker 1: but he relieved it. And that's everyone's, you know, everyone's

889
00:50:54,200 --> 00:50:56,200
Speaker 1: nightmare in this business is that that will happen. You'll

890
00:50:56,200 --> 00:50:58,600
Speaker 1: get caught on the open mic and then nothing bad

891
00:50:58,640 --> 00:51:00,560
Speaker 1: would said. So there they were lucky with that. But

892
00:51:01,120 --> 00:51:04,360
Speaker 1: speaking of Mike's you know that the one of CNNs.

893
00:51:04,600 --> 00:51:07,920
Speaker 1: He is in fact CNN's chief political correspondence. So the

894
00:51:07,960 --> 00:51:09,920
Speaker 1: person that they put forward, you see him on TV.

895
00:51:10,000 --> 00:51:12,239
Speaker 1: He's actually on He's on Blitzer Show today, He's on

896
00:51:12,280 --> 00:51:15,399
Speaker 1: all the time. He was fired from Yahoo for being

897
00:51:15,480 --> 00:51:19,239
Speaker 1: caught on an open mic saying that Mitt Romney is

898
00:51:19,320 --> 00:51:21,560
Speaker 1: happy to have a part I don't know if it

899
00:51:21,640 --> 00:51:23,960
Speaker 1: was Romney or the Republicans. I think it's the Republicans

900
00:51:24,200 --> 00:51:27,000
Speaker 1: are happy to throw a party while black people are drowning.

901
00:51:27,120 --> 00:51:30,040
Speaker 1: That was the quote he said. And he is now

902
00:51:30,160 --> 00:51:33,359
Speaker 1: the chief political analyst at CNN number one, and they're

903
00:51:33,400 --> 00:51:35,279
Speaker 1: probably paying this guy a million dollars a year to

904
00:51:35,400 --> 00:51:38,160
Speaker 1: go on CNN and give democratic talking points. And when

905
00:51:38,160 --> 00:51:39,600
Speaker 1: you do that stuff in that world, it's a it's

906
00:51:39,640 --> 00:51:42,520
Speaker 1: a badge of honor and a race. Absolutely right. He

907
00:51:43,120 --> 00:51:45,560
Speaker 1: accidentally took one for the team. And I always say

908
00:51:45,600 --> 00:51:49,360
Speaker 1: this libs. Libs take care of their own, and Republicans

909
00:51:49,360 --> 00:51:51,200
Speaker 1: are always like, oh, well, look whatever the free market

910
00:51:51,200 --> 00:51:53,800
Speaker 1: will bear. It's like, okay, well we get, like I

911
00:51:53,920 --> 00:51:57,000
Speaker 1: was saying before, but dhs, we get blacklisted, we get

912
00:51:57,040 --> 00:51:58,799
Speaker 1: I have a friend right now. He's trying to get jobs.

913
00:51:58,840 --> 00:52:01,520
Speaker 1: He's he was cree. He was a creative on the

914
00:52:01,600 --> 00:52:05,280
Speaker 1: TV side and worked at networks that are mostly reality

915
00:52:05,320 --> 00:52:07,719
Speaker 1: TV based, worked in a right wing network for a

916
00:52:07,760 --> 00:52:09,319
Speaker 1: little bit and is now trying to dip his toe

917
00:52:09,320 --> 00:52:11,160
Speaker 1: back and doing some of the other stuff. And he

918
00:52:11,280 --> 00:52:13,880
Speaker 1: says that an interview. After interview, they say, oh, you

919
00:52:14,000 --> 00:52:18,200
Speaker 1: worked for that like conservative media entity. Yeah, I think

920
00:52:18,200 --> 00:52:20,040
Speaker 1: the position is filled. I mean they just they're not

921
00:52:20,120 --> 00:52:21,600
Speaker 1: even trying to hide it. I mean they just have

922
00:52:21,760 --> 00:52:24,200
Speaker 1: no interest in helping them out at all. So that's

923
00:52:24,239 --> 00:52:26,560
Speaker 1: that's not surprised. But yeah, NBC had that little technical

924
00:52:26,600 --> 00:52:29,520
Speaker 1: meltdown last night, which was for me, it just gets you,

925
00:52:30,360 --> 00:52:32,040
Speaker 1: you think for a moment, Oh my gosh, just please

926
00:52:32,080 --> 00:52:35,680
Speaker 1: don't ever let it happen where I start, you know,

927
00:52:36,400 --> 00:52:39,080
Speaker 1: rocking out at the urinal and the mic is still on.

928
00:52:40,080 --> 00:52:41,840
Speaker 1: You live in this in this world. The microphone we

929
00:52:41,920 --> 00:52:43,760
Speaker 1: all although I guess we all kind of carry microphones

930
00:52:43,800 --> 00:52:45,719
Speaker 1: on us all the time. And paranoia is something that's

931
00:52:45,760 --> 00:52:48,799
Speaker 1: good for all of us to have. Yeah, that's why

932
00:52:49,600 --> 00:52:51,480
Speaker 1: whenever you tell a joke, you got to check over

933
00:52:51,560 --> 00:52:54,320
Speaker 1: both shoulders before you tell anybody what the joke is

934
00:52:54,360 --> 00:52:56,680
Speaker 1: going to be. Mike, who won the debate last night?

935
00:52:57,640 --> 00:53:04,000
Speaker 1: Oh man, I would probably say Tulsa Gabbert. I think

936
00:53:04,040 --> 00:53:06,920
Speaker 1: so too. I think she came off looking looking. I mean,

937
00:53:07,200 --> 00:53:09,000
Speaker 1: she probably, she's kind. She hasn't done anything in the

938
00:53:09,040 --> 00:53:11,080
Speaker 1: Congress for like whatever, the almost twenty years she's been

939
00:53:11,120 --> 00:53:13,080
Speaker 1: in there. But she she came across pretty well despite

940
00:53:13,080 --> 00:53:14,719
Speaker 1: as fact she is the word's service too much. But

941
00:53:15,320 --> 00:53:18,319
Speaker 1: that's true. Oh wait, we got some other Oh that's right,

942
00:53:18,360 --> 00:53:20,640
Speaker 1: Central Park five. And Coulter said she'd come back and

943
00:53:20,719 --> 00:53:22,359
Speaker 1: talk to us. We let her, We let her take

944
00:53:22,400 --> 00:53:24,719
Speaker 1: a coffee break, she'd come back and tell us what

945
00:53:25,120 --> 00:53:27,960
Speaker 1: is the truth of the Central Park five case. We're

946
00:53:27,960 --> 00:53:29,360
Speaker 1: not gonna want to miss this er are going to

947
00:53:29,440 --> 00:53:34,200
Speaker 1: have quite the discussion about it. Stay right there. Who

948
00:53:34,239 --> 00:53:38,760
Speaker 1: are you in the park with las? I's got a loss.

949
00:53:39,320 --> 00:53:43,800
Speaker 1: Where did you see the lady? One lady, the female charger.

950
00:53:43,840 --> 00:53:48,480
Speaker 1: It was severely beaten and raped. Every blackmail who was

951
00:53:48,560 --> 00:53:51,600
Speaker 1: in the park last night is a suspect. I need

952
00:53:51,800 --> 00:53:56,439
Speaker 1: all of them. That's going on. My son, your son

953
00:53:56,640 --> 00:54:02,880
Speaker 1: was involved in Central Park. But now they saw you

954
00:54:03,600 --> 00:54:06,480
Speaker 1: rap the lady. Didn't see a lady or hit anyone.

955
00:54:06,960 --> 00:54:10,200
Speaker 1: I don't see any lady, Kevin. I want to see

956
00:54:10,239 --> 00:54:16,799
Speaker 1: my son right now, right now. Whatever they said, I did.

957
00:54:19,600 --> 00:54:21,920
Speaker 1: All right, So that's the trailer from this when they

958
00:54:22,000 --> 00:54:24,680
Speaker 1: see us Netflix show that I've been telling you about

959
00:54:24,680 --> 00:54:26,840
Speaker 1: that I watched that I think is an absurdity, that

960
00:54:26,960 --> 00:54:30,000
Speaker 1: is rewriting history. Got somebody who was actually dug into

961
00:54:30,080 --> 00:54:33,080
Speaker 1: the details of the case. Uh is one of the

962
00:54:33,120 --> 00:54:35,520
Speaker 1: few people that I know that'll openly say that this

963
00:54:35,719 --> 00:54:37,960
Speaker 1: is all just nonsense and that these guys were actually guilty.

964
00:54:38,160 --> 00:54:39,719
Speaker 1: I agree with her, but I want to bring her

965
00:54:39,760 --> 00:54:42,120
Speaker 1: on because at least I'm not the only one we got.

966
00:54:42,160 --> 00:54:47,040
Speaker 1: Ann called to everybody, author of fourteen best selling books.

967
00:54:47,520 --> 00:54:49,520
Speaker 1: She's incredible. You all know that. And thank you so

968
00:54:49,640 --> 00:54:51,839
Speaker 1: much for joining us. Thank you good to be here,

969
00:54:51,920 --> 00:54:54,640
Speaker 1: Buck Sexton. All righty, let's just get right to this. Um.

970
00:54:55,440 --> 00:54:57,560
Speaker 1: Have you first of all, have you seen the Netflix documentary.

971
00:54:57,920 --> 00:55:00,880
Speaker 1: It's on a documentary Netflix show. I probably should, but

972
00:55:01,400 --> 00:55:04,640
Speaker 1: I do enough hate watching watching MSNBC all day. Oh

973
00:55:04,680 --> 00:55:06,759
Speaker 1: I agree, all right, fair enough, but you know what

974
00:55:07,200 --> 00:55:09,480
Speaker 1: the so I want to run past you some of

975
00:55:09,640 --> 00:55:12,840
Speaker 1: what the the talking points are about why these guys

976
00:55:13,040 --> 00:55:15,480
Speaker 1: are are industry at the Central Park five. They got

977
00:55:15,560 --> 00:55:17,759
Speaker 1: over forty million dollars from the City of New York.

978
00:55:18,120 --> 00:55:20,600
Speaker 1: Everyone's saying things like, Okay, let's start with this one,

979
00:55:20,680 --> 00:55:25,879
Speaker 1: and they've been exonerated by DNA. Why is that not true? Um,

980
00:55:26,880 --> 00:55:29,359
Speaker 1: it's hard to flash back now to a time when

981
00:55:29,520 --> 00:55:34,240
Speaker 1: DNA was not was well described as a novel science.

982
00:55:34,400 --> 00:55:37,240
Speaker 1: DNA was just starting to be used in criminal cases.

983
00:55:37,440 --> 00:55:40,440
Speaker 1: It really didn't come into use until around regular use

984
00:55:40,760 --> 00:55:43,080
Speaker 1: until two thousand and one. So it was only a

985
00:55:43,200 --> 00:55:45,880
Speaker 1: year before the Central Park rape took place that DNA

986
00:55:46,040 --> 00:55:48,520
Speaker 1: was used in the first in the first criminal case

987
00:55:49,080 --> 00:55:51,640
Speaker 1: in any case in America. It was a case down

988
00:55:51,719 --> 00:55:55,719
Speaker 1: in Florida. It wasn't enough in the o J case.

989
00:55:56,160 --> 00:55:58,440
Speaker 1: New York State didn't have a database. It wasn't I

990
00:55:58,480 --> 00:56:00,319
Speaker 1: don't think it was even clear at that point whether

991
00:56:00,360 --> 00:56:03,279
Speaker 1: it could be used in New York State. Yet it

992
00:56:03,440 --> 00:56:06,200
Speaker 1: was being described as this wacky radical thing. And you know,

993
00:56:06,360 --> 00:56:08,120
Speaker 1: I mean thing to yourself. There have been a lot

994
00:56:08,160 --> 00:56:11,000
Speaker 1: of crimes that were solved before two thousand and one.

995
00:56:11,600 --> 00:56:15,239
Speaker 1: We may all you know, I love forensic files. It's

996
00:56:15,320 --> 00:56:17,959
Speaker 1: really fun to totally nail somebody who had gotten away

997
00:56:18,000 --> 00:56:21,760
Speaker 1: with it scott free before people had before they had DNA.

998
00:56:22,239 --> 00:56:24,880
Speaker 1: But crimes were solved, and in fact, for New Yorkers.

999
00:56:25,200 --> 00:56:27,480
Speaker 1: There was a crime just a few years before, remember

1000
00:56:27,520 --> 00:56:30,560
Speaker 1: the Preppy murder case. Oh yeah, Robert Chambers. He actually

1001
00:56:30,560 --> 00:56:33,680
Speaker 1: went to my school. Oh really just for eleven. Yes,

1002
00:56:33,760 --> 00:56:36,160
Speaker 1: he murdered her in Central Park after meeting her in

1003
00:56:36,280 --> 00:56:40,400
Speaker 1: Dorian's Red Hand, and it was solved in the exact

1004
00:56:40,520 --> 00:56:43,719
Speaker 1: same way. New York City police are very very good.

1005
00:56:44,920 --> 00:56:47,760
Speaker 1: They get a little bit of circumstantial evidence, they present

1006
00:56:47,880 --> 00:56:51,120
Speaker 1: it to the defendant, and the defendant ends up confessing

1007
00:56:51,400 --> 00:56:54,399
Speaker 1: That's exactly what Robert Chambers did. No one has any

1008
00:56:54,480 --> 00:56:57,880
Speaker 1: doubts about his guilt. And the same thing happened with

1009
00:56:58,480 --> 00:57:02,800
Speaker 1: the five Central Park um well convicted and then quote

1010
00:57:02,880 --> 00:57:07,080
Speaker 1: exonerated Central Park rapists. There were about thirty seven, um,

1011
00:57:08,239 --> 00:57:12,000
Speaker 1: mostly teenagers, mostly under under the age of sixteen. UM.

1012
00:57:13,239 --> 00:57:16,040
Speaker 1: They were on vacation, just as they called it, wilding

1013
00:57:16,080 --> 00:57:18,800
Speaker 1: through Central Park that night. They were there's there's there's

1014
00:57:18,840 --> 00:57:21,000
Speaker 1: no question. And they attacked a lot of people, which

1015
00:57:21,000 --> 00:57:22,520
Speaker 1: I think is very you know, and that even in

1016
00:57:22,600 --> 00:57:25,280
Speaker 1: that trailer, every blackmail in the park is a suspect,

1017
00:57:25,360 --> 00:57:28,200
Speaker 1: that woman, says the actress. But actually the suspects that

1018
00:57:28,280 --> 00:57:31,560
Speaker 1: they rounded up were people who had attacked numerous people

1019
00:57:31,600 --> 00:57:33,320
Speaker 1: including putting one of the hospital beat him in the

1020
00:57:33,400 --> 00:57:36,480
Speaker 1: head with a pipe, almost killed him. Yeah. Yeah, there were,

1021
00:57:36,760 --> 00:57:40,160
Speaker 1: Um I think at least one was knocked unconscious. No,

1022
00:57:40,320 --> 00:57:44,200
Speaker 1: two were knocked unconscious, one and fractured skull. Yeah. Yeah,

1023
00:57:44,240 --> 00:57:49,000
Speaker 1: they ended up with permanent injuries. Um. No one denies that.

1024
00:57:49,120 --> 00:57:52,440
Speaker 1: I mean even the the the UM person in the

1025
00:57:52,560 --> 00:57:56,800
Speaker 1: DA's office, UM assistant DA Ryan, I forget what her

1026
00:57:56,840 --> 00:57:58,760
Speaker 1: first name was. She was assigned to the case by

1027
00:57:58,840 --> 00:58:03,760
Speaker 1: Robert Morgan. Though the Manhattan Dam, by the way it is,

1028
00:58:04,160 --> 00:58:08,320
Speaker 1: it is um pretty well established by the police and

1029
00:58:08,600 --> 00:58:11,680
Speaker 1: DA's office. That Ryan the one who quote wrote the

1030
00:58:11,760 --> 00:58:15,960
Speaker 1: report exonerating the five hated Linda Fair scene. So of

1031
00:58:16,080 --> 00:58:18,640
Speaker 1: all people in the office to assign this case to, hey,

1032
00:58:18,720 --> 00:58:21,080
Speaker 1: could you look over this case, you know, your arch

1033
00:58:21,240 --> 00:58:25,600
Speaker 1: rivals crowning achievement and see how she did. Anyway, even

1034
00:58:25,680 --> 00:58:30,400
Speaker 1: in her report she totally admitted, Yeah, they did all

1035
00:58:30,440 --> 00:58:33,160
Speaker 1: these other crimes in the park. So these kids were

1036
00:58:33,200 --> 00:58:35,040
Speaker 1: running through, they were about thirty seven of them. They

1037
00:58:35,080 --> 00:58:37,880
Speaker 1: were all brought in there. Nine one one calls going

1038
00:58:38,000 --> 00:58:40,120
Speaker 1: wild to the police as people are coming out of

1039
00:58:40,160 --> 00:58:43,520
Speaker 1: the park covered in blood, being chased, having rocks thrown

1040
00:58:43,600 --> 00:58:45,440
Speaker 1: at them, and so on and so forth. So the

1041
00:58:45,520 --> 00:58:48,680
Speaker 1: police descend on Central Park arrest a bunch of them.

1042
00:58:48,720 --> 00:58:50,760
Speaker 1: Over the next twenty four hours, about thirty seven are

1043
00:58:50,800 --> 00:58:52,960
Speaker 1: brought in. So for one thing, you have to you

1044
00:58:53,040 --> 00:58:54,840
Speaker 1: have to wonder and then just ask them questions and

1045
00:58:54,920 --> 00:58:57,520
Speaker 1: waited to see what they said, who they implicated, and

1046
00:58:58,240 --> 00:59:01,760
Speaker 1: slowly it narrowed down, narrowed down. Um. In one case,

1047
00:59:02,400 --> 00:59:07,120
Speaker 1: Um a policeman, UM, I mean, this is all within

1048
00:59:07,200 --> 00:59:10,240
Speaker 1: the law. You're allowed to use little trickery in questioning

1049
00:59:10,280 --> 00:59:12,760
Speaker 1: a suspect. You don't, you don't have to. Everything doesn't

1050
00:59:12,800 --> 00:59:15,200
Speaker 1: have to be the truth. What you can't do, according

1051
00:59:15,280 --> 00:59:18,200
Speaker 1: to the law, is say something to a defendant that

1052
00:59:18,280 --> 00:59:22,160
Speaker 1: would be likely to get an innocent person to confess. Um.

1053
00:59:22,480 --> 00:59:27,080
Speaker 1: So you can't say, um, um, you know if you

1054
00:59:27,160 --> 00:59:29,360
Speaker 1: confess to this, now just sign on the dotted line,

1055
00:59:29,800 --> 00:59:33,080
Speaker 1: you can go. Which is I've seen this alleged by

1056
00:59:33,120 --> 00:59:35,800
Speaker 1: some of the defendant's families that they were promised, Oh,

1057
00:59:35,960 --> 00:59:39,240
Speaker 1: but they said they'd be able to go home if

1058
00:59:39,680 --> 00:59:42,760
Speaker 1: they just admitted to raping and nearly murdering a woman.

1059
00:59:42,960 --> 00:59:45,120
Speaker 1: I don't know why anyone anyone would think that, But no,

1060
00:59:45,240 --> 00:59:47,520
Speaker 1: there was no evidence that the police said such a thing.

1061
00:59:47,800 --> 00:59:50,240
Speaker 1: There was one policeman who said, I think it was

1062
00:59:50,320 --> 00:59:54,960
Speaker 1: to Raymond Santana um said, um, you know there were

1063
00:59:55,400 --> 00:59:59,480
Speaker 1: we found fingerprints on the joggers uh pants. So if

1064
00:59:59,560 --> 01:00:02,400
Speaker 1: they're you're you're going down for this rape. That's a classic.

1065
01:00:02,480 --> 01:00:04,480
Speaker 1: I mean, anyone who's ever watched Law and Order would say,

1066
01:00:04,760 --> 01:00:06,640
Speaker 1: that's what cops do all the time. I actually work

1067
01:00:06,680 --> 01:00:08,120
Speaker 1: with cops and they would tell me that's what they

1068
01:00:08,120 --> 01:00:10,600
Speaker 1: would do all the time. Right. It's actually very clever,

1069
01:00:10,800 --> 01:00:15,760
Speaker 1: and it got to the desired result. Santana immediately confessed. Now,

1070
01:00:15,840 --> 01:00:18,680
Speaker 1: why would you confess if you weren't involved? Great, check

1071
01:00:18,800 --> 01:00:21,600
Speaker 1: the fingerprints that are not going to be mine, So

1072
01:00:21,800 --> 01:00:24,600
Speaker 1: that would not leave an innocent person to confess. Incidentally,

1073
01:00:25,040 --> 01:00:26,920
Speaker 1: I also I also found the one who had had

1074
01:00:26,920 --> 01:00:29,520
Speaker 1: the scratch under his eye, who initially told the detective,

1075
01:00:29,720 --> 01:00:31,600
Speaker 1: and this is all in the court transcript. Yeah, they

1076
01:00:31,680 --> 01:00:34,080
Speaker 1: told the detective, well, your partner did that, and he goes, well,

1077
01:00:34,080 --> 01:00:36,120
Speaker 1: I'm gonna bring my partner in here. And by the way,

1078
01:00:36,280 --> 01:00:38,480
Speaker 1: why would a cops scratch him with a fingernail under

1079
01:00:38,480 --> 01:00:40,560
Speaker 1: the eye. Right, I'm not saying cops don't ever abuse people,

1080
01:00:40,600 --> 01:00:43,040
Speaker 1: but they don't do the old scratching you under the

1081
01:00:43,080 --> 01:00:45,640
Speaker 1: eye routine. That's just bizarre. And then as soon as

1082
01:00:45,640 --> 01:00:47,040
Speaker 1: he said he's going to bring his partner in, the

1083
01:00:47,040 --> 01:00:49,720
Speaker 1: guy says, yeah, like I just grabbed the lady's breast

1084
01:00:49,800 --> 01:00:52,720
Speaker 1: or something like. He just sets them crazy. Yes, he

1085
01:00:52,880 --> 01:00:55,840
Speaker 1: had at least three different stories for the scratch on

1086
01:00:55,960 --> 01:00:57,800
Speaker 1: his face. First he said it was his cat, but

1087
01:00:57,960 --> 01:01:00,440
Speaker 1: did it. Then he said it was the policeman. Then

1088
01:01:00,440 --> 01:01:03,000
Speaker 1: they said we're going to bring the policeman in and

1089
01:01:03,160 --> 01:01:06,919
Speaker 1: see who's telling a more plausible story. And eventually he said, yeah,

1090
01:01:06,920 --> 01:01:08,880
Speaker 1: it was it was a jog or so, you know,

1091
01:01:08,960 --> 01:01:12,760
Speaker 1: the confessions went the way confessions and these things tend

1092
01:01:12,960 --> 01:01:16,480
Speaker 1: to go. They all minimized their own role. They all

1093
01:01:16,520 --> 01:01:19,640
Speaker 1: said they were there. They'd point to this one or

1094
01:01:19,720 --> 01:01:22,000
Speaker 1: that one doing the raping and just say I held

1095
01:01:22,040 --> 01:01:25,640
Speaker 1: her legs down. They told many other many of their

1096
01:01:25,720 --> 01:01:29,240
Speaker 1: friends and acquaintances who, by the way, when they were

1097
01:01:29,320 --> 01:01:34,920
Speaker 1: reinterviewed thirteen years later, when this allegedly exonerating DNA evidence

1098
01:01:35,000 --> 01:01:37,920
Speaker 1: came out, most of the rest of it couldn't be tested.

1099
01:01:37,960 --> 01:01:40,919
Speaker 1: There was just this one spot, and they always knew

1100
01:01:41,000 --> 01:01:43,000
Speaker 1: that that one of the rapists had gotten away that

1101
01:01:43,080 --> 01:01:45,720
Speaker 1: these five weren't all of them, But when they reinterviewed

1102
01:01:45,840 --> 01:01:49,080
Speaker 1: the friends and acquaintances of various of the five whom

1103
01:01:49,200 --> 01:01:52,040
Speaker 1: they had told. One one testified that night in the

1104
01:01:52,120 --> 01:01:55,040
Speaker 1: park that one of the five said, we just raped

1105
01:01:55,080 --> 01:01:58,440
Speaker 1: a girl. Another one overheard two of them saying laughing

1106
01:01:58,480 --> 01:02:02,280
Speaker 1: about we made it a woman bleed. Um. Two of

1107
01:02:02,440 --> 01:02:06,000
Speaker 1: them said these are witnesses, friends and acquaintances that the

1108
01:02:06,120 --> 01:02:09,280
Speaker 1: next day, UM, I forget which one it was, Corey

1109
01:02:09,400 --> 01:02:11,800
Speaker 1: wives maybe came up to them and said, you heard

1110
01:02:11,800 --> 01:02:14,120
Speaker 1: about that attack in the park last night. That was

1111
01:02:14,360 --> 01:02:18,120
Speaker 1: us and one of the best ones, I think, because

1112
01:02:18,160 --> 01:02:21,360
Speaker 1: it's kind of funny. Um. The sister of one of

1113
01:02:21,440 --> 01:02:24,000
Speaker 1: the friends of a friend of one of the five,

1114
01:02:24,560 --> 01:02:26,920
Speaker 1: UM said he called the house and she and obviously

1115
01:02:27,000 --> 01:02:29,200
Speaker 1: this was all over the news. He called from Rikers

1116
01:02:29,280 --> 01:02:31,600
Speaker 1: Island and she, you know, yelled at him and said

1117
01:02:31,680 --> 01:02:35,600
Speaker 1: what are you doing? And he said, um, Um, I

1118
01:02:36,360 --> 01:02:38,440
Speaker 1: didn't do it. I just held her legs down. And

1119
01:02:38,560 --> 01:02:41,040
Speaker 1: then he named another of the five, saying while he

1120
01:02:41,280 --> 01:02:45,240
Speaker 1: effed her, I mean, and what the so so people think?

1121
01:02:45,360 --> 01:02:47,720
Speaker 1: And you know this that you and I are crazy,

1122
01:02:48,000 --> 01:02:51,560
Speaker 1: right because this is now, this is now finished. They're exonerated.

1123
01:02:51,920 --> 01:02:54,560
Speaker 1: It's it's it's like racist to believe that these guys

1124
01:02:54,600 --> 01:02:56,320
Speaker 1: actually did it. I mean, it's definitely not racist to

1125
01:02:56,320 --> 01:02:58,160
Speaker 1: believe that they were running around and beating people almost

1126
01:02:58,200 --> 01:02:59,680
Speaker 1: to death in the park for no reason. But let's

1127
01:02:59,680 --> 01:03:01,480
Speaker 1: just put that out of side, because that's all admitted

1128
01:03:01,480 --> 01:03:04,480
Speaker 1: and on the record. But beyond that with this, uh,

1129
01:03:04,680 --> 01:03:06,760
Speaker 1: there are people that think, what do they say to you?

1130
01:03:06,960 --> 01:03:08,520
Speaker 1: Like if you were to show up but you know

1131
01:03:08,760 --> 01:03:10,480
Speaker 1: the well it's consider to build mar show, but you

1132
01:03:10,520 --> 01:03:12,160
Speaker 1: know one of these places wherever it's gonna a boo

1133
01:03:12,240 --> 01:03:14,520
Speaker 1: and yell and tell you that you're wrong? What's there?

1134
01:03:14,680 --> 01:03:16,800
Speaker 1: Is it just the DNA's onneration? I mean, is this

1135
01:03:16,920 --> 01:03:20,760
Speaker 1: just chanting stupidity in your face? Like what do they say? Um,

1136
01:03:21,040 --> 01:03:24,120
Speaker 1: I don't know. I mean you've seen this this Netflix thing,

1137
01:03:24,280 --> 01:03:28,000
Speaker 1: so I guess that's probably what the uneducated think think

1138
01:03:28,160 --> 01:03:30,560
Speaker 1: is the truth? I mean, and just you know, they

1139
01:03:30,880 --> 01:03:34,200
Speaker 1: cast a kid as Richardson, who I've looked at all

1140
01:03:34,200 --> 01:03:36,680
Speaker 1: the mugshots at these guys and and I've I've watched

1141
01:03:36,760 --> 01:03:39,800
Speaker 1: the interrogation and the confessions that you know, the videos

1142
01:03:39,840 --> 01:03:41,600
Speaker 1: are out there people can see them. The kid they

1143
01:03:41,680 --> 01:03:45,000
Speaker 1: cast as Richardson can't be older than eleven years old

1144
01:03:45,400 --> 01:03:47,680
Speaker 1: and is crying the whole time. And if you see

1145
01:03:47,720 --> 01:03:49,600
Speaker 1: who these kids I mean, I'm abe six foot tall,

1146
01:03:49,680 --> 01:03:53,200
Speaker 1: two hundred pound mail. These five kids who are fifteen

1147
01:03:53,280 --> 01:03:55,400
Speaker 1: years old, if they came after me on the reservoir,

1148
01:03:55,440 --> 01:03:57,080
Speaker 1: a part of Central Park, then I know very well

1149
01:03:57,360 --> 01:03:58,680
Speaker 1: I don't think it would have gone well for me.

1150
01:03:59,040 --> 01:04:03,200
Speaker 1: And right right though, I will say something I mentioned

1151
01:04:03,240 --> 01:04:06,200
Speaker 1: in one of my columns, Um, I read through all

1152
01:04:06,240 --> 01:04:08,280
Speaker 1: of the confessions. I have a chapter on this in

1153
01:04:09,120 --> 01:04:13,800
Speaker 1: my book. UM, I think it's guilty or godly, it's

1154
01:04:13,840 --> 01:04:19,040
Speaker 1: about it. It's in demonic about um group think and mobs.

1155
01:04:19,080 --> 01:04:20,880
Speaker 1: And here was a physical mob, and then you have

1156
01:04:21,120 --> 01:04:25,240
Speaker 1: the medium mob deciding let's undermine people's faith in the

1157
01:04:25,400 --> 01:04:28,960
Speaker 1: criminal justice system by coming along thirteen years later and

1158
01:04:29,480 --> 01:04:32,840
Speaker 1: instead of instead of two multi ethnic juries. Oh and

1159
01:04:33,200 --> 01:04:36,000
Speaker 1: there was a six week preliminary hearing in this case,

1160
01:04:36,120 --> 01:04:40,320
Speaker 1: six weeks to do nothing but attack the confessions. UM.

1161
01:04:40,560 --> 01:04:45,520
Speaker 1: Testimony was put on, parents testified. UM. I gather a

1162
01:04:45,600 --> 01:04:48,160
Speaker 1: lot of the claims being made. I mean, just from

1163
01:04:48,200 --> 01:04:50,760
Speaker 1: that trailer you just played for me, where's my son?

1164
01:04:50,960 --> 01:04:53,200
Speaker 1: Get my son out there. There was only one of

1165
01:04:53,680 --> 01:04:57,720
Speaker 1: the five who was ever interrogated without a parent or

1166
01:04:58,080 --> 01:05:01,440
Speaker 1: or adult guardian present, and that was I forget which

1167
01:05:01,480 --> 01:05:03,680
Speaker 1: one he gave them. I think may Vin Santana. He

1168
01:05:03,800 --> 01:05:06,680
Speaker 1: gave them the cops a fake ID and claimed he

1169
01:05:06,800 --> 01:05:10,400
Speaker 1: was sixteen. Well, okay, he can be questioned without under

1170
01:05:10,440 --> 01:05:12,800
Speaker 1: the law, he can be questioned without a parent. Um.

1171
01:05:12,880 --> 01:05:15,280
Speaker 1: He wasn't questioned very long before his mother showed up

1172
01:05:15,320 --> 01:05:18,960
Speaker 1: and said, no, he's just fifteen. Instantly the interrogation stopped.

1173
01:05:19,040 --> 01:05:22,200
Speaker 1: All further interrogation went forward with a parent present. So

1174
01:05:22,360 --> 01:05:24,480
Speaker 1: not one of them confessed without being in the presence

1175
01:05:24,640 --> 01:05:26,720
Speaker 1: of a parent. What I was about to say was

1176
01:05:27,040 --> 01:05:30,600
Speaker 1: having read through the confessions and everything being written down,

1177
01:05:30,640 --> 01:05:34,120
Speaker 1: and what was going on? Um? What? What? What kind

1178
01:05:34,200 --> 01:05:38,680
Speaker 1: of his Particularly depressing about this is that some of them,

1179
01:05:38,920 --> 01:05:41,200
Speaker 1: not all of them, but some of them had really

1180
01:05:41,360 --> 01:05:45,400
Speaker 1: lovely parents who came to their sons and said tell

1181
01:05:45,520 --> 01:05:49,640
Speaker 1: the truth and face the consequences, and and you know,

1182
01:05:50,120 --> 01:05:53,280
Speaker 1: would criticize their sons. One father came out. I forget

1183
01:05:53,840 --> 01:05:56,560
Speaker 1: which son came out After UM talked to the cops,

1184
01:05:56,600 --> 01:05:59,200
Speaker 1: went back in and talked to his son saying, look,

1185
01:05:59,240 --> 01:06:01,320
Speaker 1: the cops don't leave you, and neither do I. Just

1186
01:06:01,480 --> 01:06:04,120
Speaker 1: tell the truth. So what I found interesting about this

1187
01:06:04,320 --> 01:06:07,320
Speaker 1: was I do think some of them probably, I mean,

1188
01:06:07,440 --> 01:06:09,520
Speaker 1: I haven't been a thirteen year old boy, but they

1189
01:06:09,600 --> 01:06:12,040
Speaker 1: have raging hormones. They're in a group. I was in

1190
01:06:12,040 --> 01:06:14,800
Speaker 1: the middle of writing a book about group behavior and

1191
01:06:15,320 --> 01:06:18,200
Speaker 1: how mobs behave, and people will do things in a

1192
01:06:18,320 --> 01:06:21,000
Speaker 1: mob that they would never do, never do on their own.

1193
01:06:21,320 --> 01:06:24,160
Speaker 1: They each bookuse they were juveniles. They each only served

1194
01:06:24,200 --> 01:06:27,920
Speaker 1: about five years. They could have taken the consequences and

1195
01:06:28,040 --> 01:06:31,800
Speaker 1: emerged better man and have learned from their parents who

1196
01:06:31,880 --> 01:06:35,040
Speaker 1: told them tell the truth. But no, then these lefties

1197
01:06:35,080 --> 01:06:37,760
Speaker 1: in the media has come forward and say, no, just

1198
01:06:37,920 --> 01:06:40,680
Speaker 1: lie about Oh and you got to see the Netflix thing.

1199
01:06:40,760 --> 01:06:43,160
Speaker 1: They actually have a detective take one of the parents

1200
01:06:43,480 --> 01:06:46,080
Speaker 1: out in the hallway and say tell your kid to

1201
01:06:46,120 --> 01:06:48,320
Speaker 1: lie basically or else we're going to talk about your

1202
01:06:48,360 --> 01:06:50,240
Speaker 1: criminal record with your boss and get you fired from

1203
01:06:50,240 --> 01:06:52,640
Speaker 1: your job. That actually happens in the show, like, oh,

1204
01:06:52,760 --> 01:06:56,720
Speaker 1: for Pete's sake, True, this whole thing is just a fantasy.

1205
01:06:57,240 --> 01:06:59,400
Speaker 1: It's outraged. I mean, are you at you know, are

1206
01:06:59,440 --> 01:07:02,000
Speaker 1: you at Jay level guilt certainty with the Center Park

1207
01:07:02,040 --> 01:07:07,760
Speaker 1: five at what level certainty or j Yes, okay, I

1208
01:07:07,840 --> 01:07:11,800
Speaker 1: agree with the multi ethnic juries, the judges and the

1209
01:07:11,880 --> 01:07:16,400
Speaker 1: appellate courts that repeatedly found them guilty and upheld it.

1210
01:07:16,840 --> 01:07:19,240
Speaker 1: This is all just a medium mob and an aging

1211
01:07:19,640 --> 01:07:23,760
Speaker 1: by the way, Um, Mayor Bloomberg isn't exactly you know,

1212
01:07:23,920 --> 01:07:27,720
Speaker 1: my brand of right wing conservatives. Um. He crossed his

1213
01:07:27,880 --> 01:07:31,360
Speaker 1: arms and the entire time he was in office, refused

1214
01:07:31,400 --> 01:07:34,120
Speaker 1: to settle with them, saying nope, let's take it to trial.

1215
01:07:34,160 --> 01:07:36,760
Speaker 1: Because the city attorney said, we're gonna win this at trial.

1216
01:07:37,040 --> 01:07:39,560
Speaker 1: We are absolutely going to win this. It was one

1217
01:07:39,600 --> 01:07:43,120
Speaker 1: of it was the giveaway, the forty million dollar giveaway

1218
01:07:43,200 --> 01:07:45,680
Speaker 1: that that New Yorkers are paying for here. That was

1219
01:07:45,720 --> 01:07:48,120
Speaker 1: just for de Blasio to get the black vote. Yeah,

1220
01:07:48,520 --> 01:07:52,640
Speaker 1: that's all true, all right, everybody, And Culter thirteen bestsellers,

1221
01:07:52,680 --> 01:07:55,680
Speaker 1: fourteen probably on the way, any hints in anything going

1222
01:07:55,720 --> 01:08:00,720
Speaker 1: on not at some moment and enjoying life until we're doomed,

1223
01:08:00,800 --> 01:08:03,960
Speaker 1: but and colder. Thank you so much, thank you. This

1224
01:08:04,280 --> 01:08:07,360
Speaker 1: is actually an economy that's hurting small businesses and not

1225
01:08:07,440 --> 01:08:09,960
Speaker 1: allowing them to compete. We've had an industrial policy in

1226
01:08:10,000 --> 01:08:12,280
Speaker 1: the United States for decades now, and it's basically been

1227
01:08:12,440 --> 01:08:16,799
Speaker 1: let giant corporations do whatever to do. Corporations have exactly

1228
01:08:16,880 --> 01:08:19,600
Speaker 1: one loyalty, and that is to profits. For all the

1229
01:08:19,640 --> 01:08:22,439
Speaker 1: American citizens out there who feel you're falling behind, to

1230
01:08:22,520 --> 01:08:25,320
Speaker 1: feel the American dreams not working for you. The immigrants

1231
01:08:25,400 --> 01:08:29,040
Speaker 1: didn't do that to you. The big corporations did that

1232
01:08:29,200 --> 01:08:34,960
Speaker 1: to you. Ah. Yes, So much of the demogoguery that

1233
01:08:35,160 --> 01:08:38,600
Speaker 1: we see from democrats and politics round this issue of

1234
01:08:39,680 --> 01:08:42,880
Speaker 1: big corporations. Is it so funny you think of big

1235
01:08:42,920 --> 01:08:51,440
Speaker 1: corporations and what comes to mind? Oh, I don't know, Facebook, Google, ge, Comcast.

1236
01:08:51,560 --> 01:08:53,960
Speaker 1: You can go to this list all run by libs,

1237
01:08:54,720 --> 01:09:00,600
Speaker 1: all corporate culture, Goldman Sachs very liberal in its culture now,

1238
01:09:00,760 --> 01:09:04,560
Speaker 1: very PC and progressive, and you know all about you know,

1239
01:09:04,680 --> 01:09:07,680
Speaker 1: increasing transgender hiring quotas and all this stuff. I mean

1240
01:09:07,720 --> 01:09:10,479
Speaker 1: this is but but big corporations, I would say, the

1241
01:09:10,560 --> 01:09:14,120
Speaker 1: bad guys. You never dig into well, which which corporations?

1242
01:09:14,280 --> 01:09:17,320
Speaker 1: Oh okay, so the coke industries they think is bad,

1243
01:09:17,360 --> 01:09:21,040
Speaker 1: anything else they think is bad. What companies are are

1244
01:09:21,120 --> 01:09:23,400
Speaker 1: so hated? I mean the companies that are providing services

1245
01:09:23,439 --> 01:09:25,760
Speaker 1: and products for people that make their lives easier and better.

1246
01:09:26,760 --> 01:09:30,200
Speaker 1: You know, it is the capitalist impulse that has brought

1247
01:09:30,240 --> 01:09:33,200
Speaker 1: so much prosperity to this country. But and I couldn't

1248
01:09:33,200 --> 01:09:35,760
Speaker 1: believe this, Mike. There was you know, Eric Bowling, who

1249
01:09:35,800 --> 01:09:37,720
Speaker 1: I see a fair amount down in DC. We we

1250
01:09:37,840 --> 01:09:40,439
Speaker 1: both we hang out at the Trump International Hotel, and

1251
01:09:41,560 --> 01:09:43,400
Speaker 1: you know, we might go a little shot for shot

1252
01:09:43,400 --> 01:09:45,120
Speaker 1: and the tequila drinking. I don't know, maybe you know,

1253
01:09:45,280 --> 01:09:47,360
Speaker 1: maybe yes, maybe no. I can neither confirm nor deny,

1254
01:09:47,439 --> 01:09:49,479
Speaker 1: but you know, Eric's Eric's a nice guy. And he

1255
01:09:49,600 --> 01:09:52,920
Speaker 1: was down in Florida. And one of the young Turk's correspondence,

1256
01:09:53,479 --> 01:09:56,600
Speaker 1: could you see this Casparian. As soon as and and

1257
01:09:56,760 --> 01:10:00,400
Speaker 1: she started, she started saying that, so that Venezuela, it's

1258
01:10:00,439 --> 01:10:04,120
Speaker 1: not even that Venezuela is not representative of socialism. Her

1259
01:10:04,200 --> 01:10:06,799
Speaker 1: line is that it's not socialism that caused the problems

1260
01:10:06,800 --> 01:10:12,800
Speaker 1: in Venezuela. They will never learn. They actively make sure

1261
01:10:13,120 --> 01:10:17,439
Speaker 1: that they will never learn, never gets better, never improves.

1262
01:10:17,680 --> 01:10:21,680
Speaker 1: They still want to cling to this fiction and saying, dude, socialism,

1263
01:10:21,800 --> 01:10:23,840
Speaker 1: socialm doesn't work, folks. And if you're listening to the show,

1264
01:10:23,920 --> 01:10:27,800
Speaker 1: you know that. But socialism A bad idea. There you go,

1265
01:10:27,920 --> 01:10:29,960
Speaker 1: that's the less of the day socialism. Yeah, it's a

1266
01:10:30,040 --> 01:10:32,160
Speaker 1: bad idea. All right, we got a big hour three

1267
01:10:32,240 --> 01:10:34,719
Speaker 1: coming up here in just a moment. We're talking Iran.

1268
01:10:34,920 --> 01:10:39,280
Speaker 1: We're talking about women's equality in pay when it comes

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01:10:39,320 --> 01:10:43,960
Speaker 1: to soccer. Stay with me, women's soccer and the fight

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01:10:44,160 --> 01:10:47,760
Speaker 1: for equal pay. Oh my, here we go. So the

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01:10:47,880 --> 01:10:50,759
Speaker 1: Women's World Cup is going on. I know this is soccer,

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01:10:50,880 --> 01:10:54,840
Speaker 1: and I'm guessing I fired to do a poll of

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01:10:54,880 --> 01:10:57,719
Speaker 1: this audience. I think about five percent of the audience

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01:10:57,840 --> 01:11:00,280
Speaker 1: might care about the Women's World Cup. I think that's

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01:11:00,800 --> 01:11:03,640
Speaker 1: I could be wrong, it could be four percent, but

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01:11:03,800 --> 01:11:06,760
Speaker 1: it's it's definitely not a lot of the But the

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01:11:07,160 --> 01:11:13,440
Speaker 1: women's national team has decided to make itself very political,

1278
01:11:13,680 --> 01:11:17,360
Speaker 1: right They've sued the national what they through the US

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01:11:17,439 --> 01:11:21,240
Speaker 1: Soccer Federation whatever it's called, for equal pay, and as

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01:11:21,320 --> 01:11:23,280
Speaker 1: as I as I like to tell everyone, they're not

1281
01:11:23,400 --> 01:11:25,800
Speaker 1: really looking for equal pay, because equal pay would be

1282
01:11:26,520 --> 01:11:33,920
Speaker 1: getting remunerated based upon the ability you have to generate money,

1283
01:11:34,520 --> 01:11:36,479
Speaker 1: and that's not what's happening here, because they are being

1284
01:11:36,520 --> 01:11:39,280
Speaker 1: paid based on their ability to generate money through ratings

1285
01:11:39,360 --> 01:11:42,680
Speaker 1: and sponsorships. They want to be paid more for the

1286
01:11:42,840 --> 01:11:45,680
Speaker 1: same for a lesser amount of eyeballs. They want to

1287
01:11:45,680 --> 01:11:51,479
Speaker 1: be paid more than they should for lesser viewing numbers

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01:11:51,920 --> 01:11:54,280
Speaker 1: than what men get paid for the same for the

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01:11:54,320 --> 01:11:56,280
Speaker 1: exact same activity, which is soccer, which is a sport.

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01:11:56,280 --> 01:11:58,920
Speaker 1: We all know the rules, but now there's some controversy here.

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01:11:58,960 --> 01:12:01,479
Speaker 1: You have pretty sure, Mike, how do we say it?

1292
01:12:01,640 --> 01:12:07,680
Speaker 1: Megan rep Repino? Yes, Megan Repino, Megan Repino. She Mike

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01:12:07,800 --> 01:12:10,360
Speaker 1: is a real American, so he knows sports, and because

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01:12:10,400 --> 01:12:12,400
Speaker 1: he has to work on a new show, he even

1295
01:12:12,520 --> 01:12:16,600
Speaker 1: knows women's soccer a little bit. Congrats her. Yeah, and

1296
01:12:16,840 --> 01:12:19,479
Speaker 1: so what she said something? She said something mean about

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01:12:19,520 --> 01:12:20,960
Speaker 1: because the way I think everyone thinks the women are

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01:12:21,000 --> 01:12:23,120
Speaker 1: gonna win the World Cup, they're beating they beat Thailand

1299
01:12:23,240 --> 01:12:26,280
Speaker 1: like seventy five to zero or something crazy. Everyone's like, oh,

1300
01:12:26,400 --> 01:12:28,240
Speaker 1: because there might be a gold differential at the end.

1301
01:12:28,360 --> 01:12:30,439
Speaker 1: I think they could have stopped before they got the

1302
01:12:30,479 --> 01:12:32,200
Speaker 1: double digits. I'll be honest with you. You know that

1303
01:12:32,360 --> 01:12:35,760
Speaker 1: it wasn't really necessary to do that, but here you go.

1304
01:12:36,000 --> 01:12:39,200
Speaker 1: She said, we bleeped this out right because she needs

1305
01:12:39,200 --> 01:12:43,160
Speaker 1: to be bleeped. Yes, he's a naughty, naughty mouth. She

1306
01:12:43,360 --> 01:12:46,160
Speaker 1: said this play this is this is Women's World Cup

1307
01:12:46,520 --> 01:12:52,000
Speaker 1: player US national player Megan Repino, play eighteen. Are you

1308
01:12:52,400 --> 01:12:58,760
Speaker 1: excited to no not going to the White House? That

1309
01:12:59,080 --> 01:13:02,800
Speaker 1: we're not going to be invited? Did you? Says she

1310
01:13:02,920 --> 01:13:06,720
Speaker 1: won't be invited. She obviously cursed there, and like, I'm

1311
01:13:06,760 --> 01:13:10,280
Speaker 1: not gonna pretend like I'm some some wilted flower or

1312
01:13:10,400 --> 01:13:14,520
Speaker 1: something because she cursed. I mean, people curse even occasionally.

1313
01:13:14,720 --> 01:13:17,640
Speaker 1: Even I use salty language in private. People who know

1314
01:13:17,760 --> 01:13:22,679
Speaker 1: me know. But she is apologized for the potty mouth,

1315
01:13:22,840 --> 01:13:25,679
Speaker 1: but not for the sentiment that the women's team should

1316
01:13:25,720 --> 01:13:27,760
Speaker 1: not go or that at least she would not go

1317
01:13:28,439 --> 01:13:31,479
Speaker 1: to the world she would not go to the White

1318
01:13:31,520 --> 01:13:33,960
Speaker 1: House if they win the World Cup. What did Trump?

1319
01:13:34,040 --> 01:13:36,280
Speaker 1: I'm sure said he said something about this, right, He

1320
01:13:36,360 --> 01:13:38,519
Speaker 1: tweeted at her and said, hold on a second, here

1321
01:13:38,560 --> 01:13:42,920
Speaker 1: we go. Trump said, uh, Rusia, Mike, do we know

1322
01:13:42,960 --> 01:13:46,400
Speaker 1: what he said about Rapino? Probably something about how they

1323
01:13:46,400 --> 01:13:49,320
Speaker 1: should focus on winning. I think right, something like that. Yeah,

1324
01:13:49,400 --> 01:13:51,240
Speaker 1: that's exactly what he said. But he was something like that.

1325
01:13:51,439 --> 01:13:53,080
Speaker 1: He's like it was on his radar and he fired

1326
01:13:53,120 --> 01:13:55,560
Speaker 1: back at him. Yeah, okay, I mean, it's the equivalent

1327
01:13:55,600 --> 01:13:59,160
Speaker 1: of Trump said, Okay, here we go. Women's soccer player

1328
01:14:00,120 --> 01:14:02,599
Speaker 1: m Pino, just stayd This is Trump's Twitter that she's

1329
01:14:02,640 --> 01:14:05,639
Speaker 1: not going to the fing White House if we win.

1330
01:14:06,200 --> 01:14:09,559
Speaker 1: Other than the NBA, which now refuses to call owners owners,

1331
01:14:10,120 --> 01:14:12,920
Speaker 1: please explain that I just got criminal justice reform pass.

1332
01:14:13,080 --> 01:14:15,439
Speaker 1: Black unemployment is at the lowest in our country's history,

1333
01:14:15,680 --> 01:14:19,040
Speaker 1: and the poverty index is also best number ever. Leagues

1334
01:14:19,160 --> 01:14:21,560
Speaker 1: and teams love coming to the White House. I'm a

1335
01:14:21,600 --> 01:14:23,920
Speaker 1: big fan of the American team and women's soccer, but

1336
01:14:24,040 --> 01:14:27,519
Speaker 1: Meghan shouldn't win first before she talks finished the job.

1337
01:14:27,720 --> 01:14:29,639
Speaker 1: We haven't yet invited Megan to the team, but I'm

1338
01:14:29,680 --> 01:14:32,920
Speaker 1: now inviting v team win or lose. Oh, call it

1339
01:14:33,000 --> 01:14:36,639
Speaker 1: her bluff. Look at this. Megan should never disrespect our country,

1340
01:14:36,680 --> 01:14:38,559
Speaker 1: the White House, or our flag, especially since so much

1341
01:14:38,560 --> 01:14:40,200
Speaker 1: has been done for her and the team. Be proud

1342
01:14:40,240 --> 01:14:42,519
Speaker 1: of the flag you wear. The US is doing great, Mike,

1343
01:14:42,560 --> 01:14:44,080
Speaker 1: how'd she get on the radar? She was like an

1344
01:14:44,640 --> 01:14:47,439
Speaker 1: She's like the Kaepernick of soccer. Right. It sounds like, yeah,

1345
01:14:47,479 --> 01:14:48,680
Speaker 1: I don't know, it's too much about her if I

1346
01:14:48,720 --> 01:14:50,840
Speaker 1: see that seems to be the vocal leader of that team,

1347
01:14:50,920 --> 01:14:52,840
Speaker 1: and I love how she said right there, like how

1348
01:14:52,920 --> 01:14:55,800
Speaker 1: Trump said those things. I bet you if you get

1349
01:14:55,960 --> 01:14:57,920
Speaker 1: asked her when her top ten things, all the problems

1350
01:14:58,000 --> 01:15:00,519
Speaker 1: that she has as whatever they are, that Trump has

1351
01:15:00,520 --> 01:15:03,720
Speaker 1: already fixed them. I guarantee it. He fixes all the

1352
01:15:03,800 --> 01:15:06,240
Speaker 1: problems that Democrats are now complaining about and he's still

1353
01:15:06,800 --> 01:15:08,600
Speaker 1: you know, hate them. Here's what she said after the

1354
01:15:08,640 --> 01:15:11,400
Speaker 1: Trump tweet played nineteen. I stand by the comments that

1355
01:15:11,439 --> 01:15:13,760
Speaker 1: I made about not wanting to go to the White House.

1356
01:15:14,040 --> 01:15:16,759
Speaker 1: But I think obviously entering with a lot of passion

1357
01:15:16,840 --> 01:15:19,759
Speaker 1: considering how much you know, time and effort and pride

1358
01:15:19,800 --> 01:15:23,000
Speaker 1: we take in the platform that we have and using

1359
01:15:23,040 --> 01:15:25,320
Speaker 1: it for good and for leaving the game in a

1360
01:15:25,400 --> 01:15:27,519
Speaker 1: better place and hopefully the world in a better place.

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01:15:28,600 --> 01:15:30,680
Speaker 1: I don't think that I would want to go, and

1362
01:15:31,120 --> 01:15:33,920
Speaker 1: I would encourage my teammates that think hard about lending

1363
01:15:34,000 --> 01:15:37,680
Speaker 1: that platform or having that co opted by an administration

1364
01:15:37,760 --> 01:15:39,479
Speaker 1: that doesn't feel the same way and doesn't fight for

1365
01:15:39,560 --> 01:15:42,680
Speaker 1: the same things that we fight for. So I'll just

1366
01:15:42,840 --> 01:15:45,479
Speaker 1: leave it at that. Look, she's perfectly within her rights

1367
01:15:45,880 --> 01:15:48,960
Speaker 1: to not go. Okay, She's perfectly within her rights to

1368
01:15:49,040 --> 01:15:50,760
Speaker 1: decide she doesn't want to go the White House. That's fine.

1369
01:15:50,880 --> 01:15:53,200
Speaker 1: You know, this is not despite what the Libs say,

1370
01:15:53,760 --> 01:15:57,160
Speaker 1: America has not turned into a fascist state because of Trump.

1371
01:15:57,360 --> 01:15:59,360
Speaker 1: And you know we're not all everyone's not going to

1372
01:15:59,400 --> 01:16:02,640
Speaker 1: be arched off into camps or anything. I mean, as

1373
01:16:02,720 --> 01:16:05,400
Speaker 1: crazy as they are, we do still have the first memper.

1374
01:16:05,439 --> 01:16:08,080
Speaker 1: She doesn't want to go, doesn't want to go. But

1375
01:16:08,280 --> 01:16:11,080
Speaker 1: I can also, under that same first Amendment say just

1376
01:16:11,200 --> 01:16:14,439
Speaker 1: what an ungrateful punk? And this is part of a

1377
01:16:15,479 --> 01:16:17,840
Speaker 1: broader issue that you see, and he've been seeing it

1378
01:16:17,920 --> 01:16:20,760
Speaker 1: for years now. In sports, finally, I think Mike didn't

1379
01:16:20,960 --> 01:16:22,960
Speaker 1: ESPN start to say, you know, maybe we should just

1380
01:16:23,080 --> 01:16:26,280
Speaker 1: do sports and not have people doing political commentary. Didn't

1381
01:16:26,280 --> 01:16:28,880
Speaker 1: that happen recently? Yeah, they actually have a new CEO

1382
01:16:28,960 --> 01:16:30,840
Speaker 1: there now. Though their old guy got busted for doing

1383
01:16:30,880 --> 01:16:33,360
Speaker 1: coke or something. They kicked him out. New guy came in,

1384
01:16:33,600 --> 01:16:36,160
Speaker 1: was like, cut out the political stuff, let's get back

1385
01:16:36,200 --> 01:16:38,240
Speaker 1: to sports. And they sort of have seemed to turn

1386
01:16:38,280 --> 01:16:39,599
Speaker 1: a little bit of a corner, but I still don't

1387
01:16:39,600 --> 01:16:42,080
Speaker 1: watch them. I think all this is really important. I

1388
01:16:42,240 --> 01:16:48,040
Speaker 1: think that having places where Americans can share in what's

1389
01:16:48,080 --> 01:16:52,200
Speaker 1: going on, enjoy something, and put the politics aside. I

1390
01:16:52,280 --> 01:16:55,240
Speaker 1: think it's really an important part of civil society. I

1391
01:16:55,360 --> 01:16:57,479
Speaker 1: think this is, you know, we're just gonna be at

1392
01:16:57,520 --> 01:17:00,200
Speaker 1: each other's throats if we can't have and you know,

1393
01:17:00,320 --> 01:17:02,200
Speaker 1: social media is just if we if we can't have

1394
01:17:02,320 --> 01:17:05,200
Speaker 1: some safe Oh gosh, i's gonna say safe spaces, space

1395
01:17:05,360 --> 01:17:08,760
Speaker 1: is safe from politics. How about that safe spaces? Buck?

1396
01:17:08,800 --> 01:17:10,479
Speaker 1: Do you want a safe space? Do you want a

1397
01:17:10,560 --> 01:17:14,479
Speaker 1: blank kye? I want a black kie? I want a bottle?

1398
01:17:15,080 --> 01:17:18,800
Speaker 1: So you know, there it is. Um, we'll have to see.

1399
01:17:19,640 --> 01:17:22,599
Speaker 1: And that's what that's what bothering me. There's just nothing

1400
01:17:22,680 --> 01:17:24,800
Speaker 1: that you can ever turn on now on the TV

1401
01:17:25,160 --> 01:17:27,400
Speaker 1: and think, oh, this will be free of I feel

1402
01:17:27,400 --> 01:17:29,120
Speaker 1: like the well now the weather channel has even got

1403
01:17:29,160 --> 01:17:32,840
Speaker 1: politics because of climate change stuff. You never can get

1404
01:17:32,920 --> 01:17:35,559
Speaker 1: free of it now. And the women's national team, look,

1405
01:17:35,640 --> 01:17:38,600
Speaker 1: I'm I'm all about America. So any national team, it

1406
01:17:38,640 --> 01:17:41,800
Speaker 1: can be the national shuffleboard team. I'm like, yeah, that's right,

1407
01:17:42,280 --> 01:17:45,160
Speaker 1: go go rectos. FOURIGN fools like, go do your thing.

1408
01:17:45,520 --> 01:17:50,320
Speaker 1: And I want to cheer loudly for the um women's

1409
01:17:50,439 --> 01:17:53,280
Speaker 1: national soccer team. But two things I think they're at

1410
01:17:53,400 --> 01:17:55,200
Speaker 1: I think they're a little bratty with the whole equal

1411
01:17:55,280 --> 01:17:58,519
Speaker 1: pay thing because it's not equal pay. They want unequal pay.

1412
01:17:59,200 --> 01:18:01,400
Speaker 1: If the ratings were hired, they get paid more money.

1413
01:18:01,920 --> 01:18:04,160
Speaker 1: This is a business. Yeah, you know, this is not

1414
01:18:04,280 --> 01:18:07,280
Speaker 1: It's not about fairness. You know, I played, I played

1415
01:18:07,360 --> 01:18:09,400
Speaker 1: high school soccer. Should I have been paid a million

1416
01:18:09,439 --> 01:18:11,519
Speaker 1: dollars a year because I played soccer and other people

1417
01:18:11,560 --> 01:18:13,080
Speaker 1: play soccer and they make a lot of money. No,

1418
01:18:13,600 --> 01:18:16,760
Speaker 1: because they were like fifteen parents at my soccer games. Yeah,

1419
01:18:16,960 --> 01:18:19,120
Speaker 1: does not justify the revenue that. Yeah, you see what

1420
01:18:19,160 --> 01:18:20,880
Speaker 1: I'm saying. Yeah, on your point on that buck, I'm

1421
01:18:20,920 --> 01:18:24,240
Speaker 1: just looking at some data here and there. Their numbers

1422
01:18:24,280 --> 01:18:26,160
Speaker 1: actually for this World Cup are slightly up from the

1423
01:18:26,240 --> 01:18:28,759
Speaker 1: last World Cup. But they really have a problem between

1424
01:18:28,840 --> 01:18:31,320
Speaker 1: World Cups on getting any eyeballs at all. But on

1425
01:18:31,479 --> 01:18:33,200
Speaker 1: it says here, this is from the APE. A recent

1426
01:18:33,280 --> 01:18:36,800
Speaker 1: match in Italy drew forty thousand fans lord partly by

1427
01:18:36,880 --> 01:18:39,760
Speaker 1: free tickets. So they got to give tickets away to

1428
01:18:39,800 --> 01:18:44,360
Speaker 1: get people to go. Yeah, not good, not good, folks.

1429
01:18:45,080 --> 01:18:48,320
Speaker 1: So everything is political, which is annoying, and women claiming

1430
01:18:48,320 --> 01:18:51,080
Speaker 1: they want equal pay when they actually want a better deal.

1431
01:18:51,120 --> 01:18:53,559
Speaker 1: They want unequal pay. I also find that pretty annoying.

1432
01:18:53,720 --> 01:18:55,760
Speaker 1: And and here we are, you know, we've got the

1433
01:18:55,840 --> 01:18:58,240
Speaker 1: president United States. Instead of being able to root for

1434
01:18:58,360 --> 01:19:01,040
Speaker 1: this national team like we all want to, he's got

1435
01:19:01,120 --> 01:19:02,519
Speaker 1: to deal with her saying she wouldn't go to the

1436
01:19:02,560 --> 01:19:05,439
Speaker 1: White House or whatever. You know, just check yourself before

1437
01:19:05,479 --> 01:19:08,920
Speaker 1: you wreck yourself. Sometimes some of these nineties phrases really

1438
01:19:08,960 --> 01:19:13,519
Speaker 1: come come in handy, and I just wish that there

1439
01:19:13,560 --> 01:19:15,760
Speaker 1: would be a You know, this is true so many

1440
01:19:15,880 --> 01:19:18,320
Speaker 1: entertainers now and all these people because of social media,

1441
01:19:18,400 --> 01:19:20,040
Speaker 1: they all think they have to be woke and they

1442
01:19:20,479 --> 01:19:22,920
Speaker 1: feel this pressure or really this I don't even think

1443
01:19:22,920 --> 01:19:24,200
Speaker 1: it's pressure a lot of time. I think it's just

1444
01:19:24,320 --> 01:19:27,040
Speaker 1: they can't help themselves because they're narcissistic that they need

1445
01:19:27,120 --> 01:19:29,560
Speaker 1: to be involved in political discussions. But a lot of

1446
01:19:29,600 --> 01:19:32,800
Speaker 1: people that are famous are also idiots at least when

1447
01:19:32,800 --> 01:19:35,559
Speaker 1: it comes to politics, and they should probably just keep

1448
01:19:35,600 --> 01:19:38,679
Speaker 1: to themselves and what is it, you know, just shut

1449
01:19:38,760 --> 01:19:40,400
Speaker 1: up and saying I think people say that would be

1450
01:19:40,520 --> 01:19:42,519
Speaker 1: nice in this case, be quiet and play some soccer.

1451
01:19:42,640 --> 01:19:46,799
Speaker 1: We'll be right back. You are now entering the Freedom

1452
01:19:46,880 --> 01:19:52,200
Speaker 1: Hontical Operations Center. All the programs strictly need to know

1453
01:19:53,640 --> 01:19:56,679
Speaker 1: Team Buck is cleared and ready for the Buck brief.

1454
01:19:57,120 --> 01:20:00,280
Speaker 1: I'm not looking for war, and if the there is,

1455
01:20:00,439 --> 01:20:03,920
Speaker 1: it'll be obliteration like you've never seen before. But I'm

1456
01:20:03,960 --> 01:20:06,000
Speaker 1: not looking to do that. But you can't have a

1457
01:20:06,080 --> 01:20:08,280
Speaker 1: nuclear weapon if you want to talk about it good.

1458
01:20:08,360 --> 01:20:11,720
Speaker 1: Otherwise you can live in a shattered economy for a

1459
01:20:11,800 --> 01:20:15,439
Speaker 1: long time to come. Resident Trump pretty clear on what's

1460
01:20:15,439 --> 01:20:19,880
Speaker 1: acceptable to him when we're talking about Iran and nukes.

1461
01:20:21,000 --> 01:20:23,719
Speaker 1: And let's see how we're doing with this whole process.

1462
01:20:23,840 --> 01:20:27,120
Speaker 1: We got Daniel Hoffman with us now he is formally

1463
01:20:28,000 --> 01:20:32,080
Speaker 1: with the CIA. Daniel is a counter terrorism expert, national

1464
01:20:32,120 --> 01:20:35,280
Speaker 1: security expert. Daniel, thank you so much for joining Hey,

1465
01:20:35,439 --> 01:20:37,600
Speaker 1: always a pleasure. Thanks for having me on. Also a

1466
01:20:37,640 --> 01:20:39,320
Speaker 1: Fox News contributor, so I got to throw that in

1467
01:20:39,360 --> 01:20:41,600
Speaker 1: there as well. So, Daniel, how is Trump doing right now?

1468
01:20:41,640 --> 01:20:44,720
Speaker 1: There seemed to be this heightened sense that maybe we

1469
01:20:44,840 --> 01:20:47,320
Speaker 1: were right on the precipice of a let's say, a

1470
01:20:47,400 --> 01:20:50,200
Speaker 1: military exchange, because people get very testy about the term

1471
01:20:50,320 --> 01:20:53,280
Speaker 1: war when we're looking at this issue. But how do

1472
01:20:53,320 --> 01:20:55,360
Speaker 1: you see where we are and what the president should

1473
01:20:55,400 --> 01:20:59,280
Speaker 1: do from here? Well, let's start with this. The President

1474
01:20:59,360 --> 01:21:03,080
Speaker 1: thought that the Iran nuclear deal. The JCPO way was

1475
01:21:03,120 --> 01:21:07,360
Speaker 1: extraordinarily flawed and it was not even many Democrats, including

1476
01:21:07,400 --> 01:21:10,200
Speaker 1: Senator Chuck Schumer, supported it, and that's why it never

1477
01:21:10,280 --> 01:21:14,640
Speaker 1: became a treaty. And so we implemented a maximum sanctions

1478
01:21:15,400 --> 01:21:18,560
Speaker 1: economic pressure campaign designed to bring Iran back to the

1479
01:21:18,640 --> 01:21:21,840
Speaker 1: negotiating table so that we could deal with the three

1480
01:21:22,040 --> 01:21:24,360
Speaker 1: I would say key issues the fact that there were

1481
01:21:24,400 --> 01:21:27,720
Speaker 1: sunset clauses on Iran's development of a nuclear capability, their

1482
01:21:27,760 --> 01:21:30,479
Speaker 1: ballistic missile program, and then them serving as a state

1483
01:21:30,560 --> 01:21:36,519
Speaker 1: sponsor of terrorism, and the sanctions are really caused Iran's

1484
01:21:36,560 --> 01:21:38,720
Speaker 1: economy to go into free fall. Their currency is not

1485
01:21:38,840 --> 01:21:43,080
Speaker 1: worth much of anything. They're earning, you know, forty percent

1486
01:21:43,320 --> 01:21:47,360
Speaker 1: less of their budget in terms of the oil revenues.

1487
01:21:48,080 --> 01:21:50,240
Speaker 1: We're crushing them and they know it, and that's why

1488
01:21:50,360 --> 01:21:54,400
Speaker 1: they've lashed out with attempts to blackmail US with nuclear blackmail,

1489
01:21:54,439 --> 01:21:57,120
Speaker 1: where they've threatened to enrich uranium to weapons grade levels

1490
01:21:57,479 --> 01:22:00,800
Speaker 1: starting July eighth if they don't receive actions relief. It's

1491
01:22:00,840 --> 01:22:04,000
Speaker 1: why they mounted those attacks on the tankers and the Gulf,

1492
01:22:05,200 --> 01:22:07,839
Speaker 1: among other things. Now, I say all that is background,

1493
01:22:07,880 --> 01:22:10,640
Speaker 1: because Iran hasn't taken it to the level where they

1494
01:22:10,760 --> 01:22:13,840
Speaker 1: know we would have to respond with kinetic action. We

1495
01:22:13,920 --> 01:22:16,439
Speaker 1: got close when they shot down our drone, but they

1496
01:22:16,560 --> 01:22:20,360
Speaker 1: also did not target our manned pH surveillance aircraft. They

1497
01:22:20,400 --> 01:22:23,240
Speaker 1: haven't targeted US ships in the Gulf and put our

1498
01:22:23,280 --> 01:22:26,360
Speaker 1: servicemen and women at risk. So they know there's a

1499
01:22:26,400 --> 01:22:28,800
Speaker 1: little bit of rules of engagement that we're fashioning out

1500
01:22:28,840 --> 01:22:33,320
Speaker 1: with the Iranians, but they are demanding that we returned

1501
01:22:33,400 --> 01:22:36,800
Speaker 1: to the flawed jcpoa's a precondition for negotiations. So where

1502
01:22:36,840 --> 01:22:40,040
Speaker 1: we're at right now, we're not going to stop the

1503
01:22:40,200 --> 01:22:42,599
Speaker 1: sanctions at all. We're going to continue to press ahead

1504
01:22:42,640 --> 01:22:46,120
Speaker 1: with those iran Is trying to get some sanctions relief,

1505
01:22:46,200 --> 01:22:48,240
Speaker 1: and we're seeing a little bit of back and forth

1506
01:22:48,479 --> 01:22:52,160
Speaker 1: on on how we deal with that. And the President,

1507
01:22:52,160 --> 01:22:54,600
Speaker 1: in my view, did the right thing by showing restraints

1508
01:22:55,000 --> 01:22:59,519
Speaker 1: and not responding with kinetic action and rather reportedly with

1509
01:22:59,560 --> 01:23:03,080
Speaker 1: a cyber strike, a precision one at those same facilities

1510
01:23:03,160 --> 01:23:06,840
Speaker 1: that didn't risk or cause any collateral damage to personnel,

1511
01:23:07,400 --> 01:23:11,599
Speaker 1: and then increase sanctions on the Iranian regime. What has

1512
01:23:11,640 --> 01:23:13,439
Speaker 1: to happen? Can I just ask you, Daniel, I mean,

1513
01:23:13,600 --> 01:23:18,080
Speaker 1: what has to happen for the decision making process inside

1514
01:23:18,120 --> 01:23:22,840
Speaker 1: of Iran to finally switch to okay, we'll we'll play

1515
01:23:22,920 --> 01:23:25,439
Speaker 1: ball in a way that would be even in the

1516
01:23:25,600 --> 01:23:30,280
Speaker 1: opening stages, acceptable to the Trump administration. But some of

1517
01:23:30,360 --> 01:23:34,120
Speaker 1: the lower level Iranian officials have indicated a willingness to

1518
01:23:35,040 --> 01:23:39,760
Speaker 1: begin negotiations with the United States. I think there's going

1519
01:23:39,800 --> 01:23:41,639
Speaker 1: to have to be a little bit of faith savings

1520
01:23:42,120 --> 01:23:45,840
Speaker 1: for the Iranians to come to the table. Would would

1521
01:23:45,880 --> 01:23:50,519
Speaker 1: the Trump administration, for example, lighten up on certain sanctions

1522
01:23:50,600 --> 01:23:53,599
Speaker 1: you know we've we've piled on to the Supreme Leader

1523
01:23:53,800 --> 01:23:58,599
Speaker 1: and the IRGC, among others. Would we remove a little

1524
01:23:58,640 --> 01:24:03,080
Speaker 1: bit of sanctions that don't league impact Iran's economy quite

1525
01:24:03,160 --> 01:24:06,559
Speaker 1: that much, but give Iranian the Iranian regime a face

1526
01:24:06,680 --> 01:24:09,639
Speaker 1: saving way to get back to the negotiating table. Maybe

1527
01:24:09,680 --> 01:24:12,840
Speaker 1: what Iran has done is given us the opportunity to

1528
01:24:12,880 --> 01:24:15,840
Speaker 1: get closer with our European allies, who have to appreciate

1529
01:24:16,560 --> 01:24:20,679
Speaker 1: that we have shown restraint and didn't take Iran's face

1530
01:24:20,760 --> 01:24:23,200
Speaker 1: to respond with the Connectic attack that might have divided US.

1531
01:24:24,240 --> 01:24:26,320
Speaker 1: President Trump is obviously going to get a lot of

1532
01:24:26,400 --> 01:24:29,160
Speaker 1: heat going forward for sticking to his guns on this one.

1533
01:24:29,200 --> 01:24:32,880
Speaker 1: Where do you think Republicans in the Congress really are

1534
01:24:33,040 --> 01:24:34,960
Speaker 1: on this? Do you get the sense that there are

1535
01:24:35,000 --> 01:24:36,680
Speaker 1: some that are getting weak in the knees or they're

1536
01:24:36,840 --> 01:24:41,240
Speaker 1: they're pretty unified on keeping Iran's feet to the fire. Yeah. Well,

1537
01:24:41,240 --> 01:24:44,160
Speaker 1: I'd like to see Republicans, then Democrats together with a

1538
01:24:44,240 --> 01:24:47,719
Speaker 1: bipartisan consensus on what we need to do in national security.

1539
01:24:48,640 --> 01:24:51,479
Speaker 1: Unfortunately we don't see that as often as we used

1540
01:24:51,479 --> 01:24:53,800
Speaker 1: to or as we should. I think there was a

1541
01:24:54,439 --> 01:24:57,120
Speaker 1: there were many Republicans who felt like we needed to

1542
01:24:57,240 --> 01:25:00,760
Speaker 1: hold Iran accountable for shooting down our drone and accountable

1543
01:25:00,800 --> 01:25:04,160
Speaker 1: with a military counter strike. But I also think that

1544
01:25:04,240 --> 01:25:07,680
Speaker 1: the president's restraints and the follow up cyber strike and

1545
01:25:07,760 --> 01:25:11,320
Speaker 1: sanctions to probably mollified those who disagreed with the lack

1546
01:25:11,400 --> 01:25:14,760
Speaker 1: of a kinetic response for now, but it's clear that

1547
01:25:15,600 --> 01:25:18,479
Speaker 1: we have I think, that much more strength behind a

1548
01:25:18,600 --> 01:25:21,760
Speaker 1: kinetic response if and when we do get there. What's

1549
01:25:21,840 --> 01:25:23,920
Speaker 1: the worst case scenario in your mind? We're speaking to

1550
01:25:23,960 --> 01:25:28,000
Speaker 1: Daniel Hoffman, Everybody's former senior CIA officer and also Fox

1551
01:25:28,120 --> 01:25:31,360
Speaker 1: News contributor. Daniel what's the worst case scenario if the

1552
01:25:31,400 --> 01:25:35,519
Speaker 1: Iranians decide to really really push it with us. I mean,

1553
01:25:35,800 --> 01:25:37,200
Speaker 1: how far do you think they'd be willing to go?

1554
01:25:37,360 --> 01:25:39,479
Speaker 1: Would they sank an oil tanker? Would they actually go

1555
01:25:39,600 --> 01:25:42,599
Speaker 1: for it? Well, look, there's a couple of red lines

1556
01:25:42,680 --> 01:25:44,640
Speaker 1: here that I think we need to be cognizant of.

1557
01:25:44,760 --> 01:25:48,519
Speaker 1: The First one is if Iran enriches uranium to weapons

1558
01:25:48,600 --> 01:25:52,479
Speaker 1: grade levels. I'm less concerned about them stockpiling low grade uranium.

1559
01:25:52,520 --> 01:25:55,679
Speaker 1: They've done that, I think they've reached the limit established

1560
01:25:55,720 --> 01:25:58,759
Speaker 1: at JCP away, but enriching uranium to weapons grade levels

1561
01:25:59,200 --> 01:26:02,759
Speaker 1: is a grade concerned to US as well as our allies,

1562
01:26:02,800 --> 01:26:06,719
Speaker 1: starting with Israel. Not to mention Saudi Arabia among others. Secondly,

1563
01:26:06,840 --> 01:26:09,120
Speaker 1: would be, as you point out, a kinetic strike against

1564
01:26:09,160 --> 01:26:12,599
Speaker 1: the US tanker where servicemen and women are not only

1565
01:26:12,640 --> 01:26:16,720
Speaker 1: put at risks, but maybe killed, then there's going to

1566
01:26:16,760 --> 01:26:18,840
Speaker 1: be a response. And the President has been clear, and

1567
01:26:18,960 --> 01:26:22,400
Speaker 1: General David Petraeus, outside observer who knows quite a lot

1568
01:26:22,479 --> 01:26:25,479
Speaker 1: about war fighting, has said to the Iranians among all

1569
01:26:25,560 --> 01:26:28,680
Speaker 1: of us that said, look, don't take this administration, the

1570
01:26:28,720 --> 01:26:32,080
Speaker 1: Trump administration lately when they say that. The President says,

1571
01:26:32,120 --> 01:26:34,280
Speaker 1: he means he's going to respond. He's going to respond,

1572
01:26:35,640 --> 01:26:38,400
Speaker 1: and so I think the concern for me neither country

1573
01:26:38,439 --> 01:26:40,920
Speaker 1: wants the war. That wouldn't be in our interest. We're

1574
01:26:41,000 --> 01:26:45,799
Speaker 1: going back and forth over leverage, get trying to seek

1575
01:26:45,840 --> 01:26:49,480
Speaker 1: out and gain leverage in advance or an anticipation of negotiations,

1576
01:26:49,560 --> 01:26:53,120
Speaker 1: and that process is dikey at times. But we need

1577
01:26:53,200 --> 01:26:55,320
Speaker 1: at all costs, I think, to avoid war. But the

1578
01:26:55,400 --> 01:26:57,080
Speaker 1: Iranians are in a tough play for it, and we've

1579
01:26:57,080 --> 01:27:00,280
Speaker 1: got our boots on their growth even more than we

1580
01:27:00,360 --> 01:27:02,519
Speaker 1: ever had in the Obama administration, and I felt we

1581
01:27:02,760 --> 01:27:05,479
Speaker 1: took our boot off their throat. Then precipitously, we should

1582
01:27:05,479 --> 01:27:08,680
Speaker 1: have waited. If they enrich the uranium up to if

1583
01:27:08,680 --> 01:27:10,360
Speaker 1: they go from the three to the twenty percent, then

1584
01:27:10,360 --> 01:27:11,840
Speaker 1: we know it's pretty fast jumped to get up to

1585
01:27:11,960 --> 01:27:15,880
Speaker 1: ninety if they go beyond the parameters of the deal,

1586
01:27:16,360 --> 01:27:18,040
Speaker 1: which now we're not still in, but we know what

1587
01:27:18,080 --> 01:27:20,439
Speaker 1: the parameters are that are acceptable to us were regardless

1588
01:27:20,439 --> 01:27:24,120
Speaker 1: of whether we're in the the you know, j JCPOA.

1589
01:27:25,640 --> 01:27:29,000
Speaker 1: Should we strike the reactors? Is that the move? Well,

1590
01:27:29,000 --> 01:27:30,880
Speaker 1: I'll say what we need to do before that is

1591
01:27:31,000 --> 01:27:34,720
Speaker 1: have serious discussions with our allies and agree on that

1592
01:27:35,240 --> 01:27:37,479
Speaker 1: as a red line and then discuss a variety of

1593
01:27:37,560 --> 01:27:40,680
Speaker 1: options we would want to take with our allies. I

1594
01:27:40,720 --> 01:27:43,599
Speaker 1: think it's important that we bring in europe and allies. Look,

1595
01:27:43,720 --> 01:27:47,880
Speaker 1: Russia was the trojan Horse and the JCPOA, they were

1596
01:27:47,960 --> 01:27:50,040
Speaker 1: involved with My goodness, they certainly don't have our best

1597
01:27:50,120 --> 01:27:52,360
Speaker 1: interests at heart. It's the very least we need to

1598
01:27:52,400 --> 01:27:55,520
Speaker 1: be lockstep with our European allies, the UK in particular

1599
01:27:55,600 --> 01:27:58,880
Speaker 1: on that. And we also need to get a back

1600
01:27:59,000 --> 01:28:03,000
Speaker 1: channel message to the rani's rules of engagement warn them

1601
01:28:03,640 --> 01:28:07,479
Speaker 1: if you enrich uranium to weapons grade levels, we will

1602
01:28:07,640 --> 01:28:11,040
Speaker 1: respond Accordingly. We don't have to tell them how we're

1603
01:28:11,040 --> 01:28:12,479
Speaker 1: going to respond, but we need to let them know

1604
01:28:12,520 --> 01:28:15,400
Speaker 1: that we're going to respond, and we could be very

1605
01:28:15,479 --> 01:28:17,680
Speaker 1: public about that. In other words, administration could tell the

1606
01:28:17,760 --> 01:28:21,960
Speaker 1: Iranians and then could, as their every administration has been

1607
01:28:22,040 --> 01:28:25,519
Speaker 1: known to do this, inform our media that this is

1608
01:28:25,560 --> 01:28:27,920
Speaker 1: what has been said, this is what has transpired, so

1609
01:28:28,000 --> 01:28:30,000
Speaker 1: that the world knows that if Iran does this, they're

1610
01:28:30,000 --> 01:28:32,360
Speaker 1: going to face a response. It's not going to be

1611
01:28:32,760 --> 01:28:36,400
Speaker 1: a cyber attack launched that you know, a facility it might,

1612
01:28:36,520 --> 01:28:39,799
Speaker 1: it's going to be something quite different. Daniel often everybody. Daniel,

1613
01:28:39,840 --> 01:28:42,320
Speaker 1: thank you so much man for joining us. Appreciate your expertise.

1614
01:28:43,120 --> 01:28:45,760
Speaker 1: Always a pleasure to look forward to next time. All right,

1615
01:28:45,760 --> 01:28:48,719
Speaker 1: team a quick break, We'll be back with roll Call.

1616
01:28:49,479 --> 01:28:51,760
Speaker 1: All your thoughts, all the things, all the good things

1617
01:28:51,800 --> 01:28:53,880
Speaker 1: in just a moment. Ain't no party like a Team

1618
01:28:53,960 --> 01:29:03,960
Speaker 1: Buck party, because a Team Buck party. Don't stop. Yeah,

1619
01:29:04,040 --> 01:29:19,000
Speaker 1: we got Buck turned up to eleven. It's time for

1620
01:29:19,200 --> 01:29:22,080
Speaker 1: roll call. The roll call, you know what. This is

1621
01:29:22,920 --> 01:29:25,639
Speaker 1: the latter part of the show where I read messages

1622
01:29:25,680 --> 01:29:28,080
Speaker 1: from you, react to them, and then we all just

1623
01:29:28,160 --> 01:29:30,280
Speaker 1: have a little chat and have a little talk. I'm

1624
01:29:30,360 --> 01:29:36,280
Speaker 1: up in nyc FA the weekend seeing the fam checking

1625
01:29:36,280 --> 01:29:39,200
Speaker 1: out the sites. Come out to the coast, have a

1626
01:29:39,240 --> 01:29:42,519
Speaker 1: few laughs. The East coast, that is not the West coast,

1627
01:29:42,640 --> 01:29:46,879
Speaker 1: not today. So indeed, this little ride on the Acela

1628
01:29:47,080 --> 01:29:51,320
Speaker 1: up today. Although I don't understand why people think they

1629
01:29:51,400 --> 01:29:53,320
Speaker 1: have to yell into their cell phones. The cell phone

1630
01:29:53,360 --> 01:29:55,760
Speaker 1: technology has gotten pretty good, folks, as you all know.

1631
01:29:55,880 --> 01:29:59,519
Speaker 1: I'm sure you can just talk into your phone. Hey babe,

1632
01:29:59,600 --> 01:30:02,240
Speaker 1: you got the thing from the guy? You get the

1633
01:30:02,400 --> 01:30:05,960
Speaker 1: thing from the guy? Can you hear me? We could

1634
01:30:06,000 --> 01:30:10,360
Speaker 1: all hear you all across the entirety of this train car. Sir,

1635
01:30:10,800 --> 01:30:12,880
Speaker 1: we can all hear you. We are really now all

1636
01:30:12,920 --> 01:30:15,280
Speaker 1: being forced to be a part of that conversation. I

1637
01:30:15,600 --> 01:30:18,000
Speaker 1: happened to sit behind a guy who was one of these.

1638
01:30:18,240 --> 01:30:20,080
Speaker 1: He's on a train for three hours, and his first

1639
01:30:20,120 --> 01:30:22,559
Speaker 1: thought is it's a great time to make loud phone

1640
01:30:22,640 --> 01:30:28,720
Speaker 1: calls for three hours. Who man, Some days you win,

1641
01:30:28,840 --> 01:30:31,639
Speaker 1: you know, some days, some days you get the bulls.

1642
01:30:31,680 --> 01:30:33,360
Speaker 1: Some days the bull gets you. Mark, You know what

1643
01:30:33,400 --> 01:30:37,280
Speaker 1: I mean? While you ride the quiet car it was full.

1644
01:30:38,160 --> 01:30:40,320
Speaker 1: I'm not a savage. I know about the quiet car.

1645
01:30:40,880 --> 01:30:43,960
Speaker 1: It was full o people suck. What can you do?

1646
01:30:44,600 --> 01:30:46,400
Speaker 1: I should have offered someone a bribe to get out

1647
01:30:46,439 --> 01:30:48,120
Speaker 1: of the quiet car, be like, I will bring you

1648
01:30:48,960 --> 01:30:52,240
Speaker 1: one of those four dollars granola bars that they sell

1649
01:30:52,320 --> 01:30:54,120
Speaker 1: in the cafe car. You know, I could have probably

1650
01:30:54,320 --> 01:30:56,559
Speaker 1: figured something out a little bit of bartering. Cam Newton

1651
01:30:56,600 --> 01:30:58,960
Speaker 1: offered somebody fifteen hundred dollars to move from a first

1652
01:30:58,960 --> 01:31:01,880
Speaker 1: class seat from Paris to wherever he was going. They said, no,

1653
01:31:03,280 --> 01:31:06,439
Speaker 1: look last week this happened fifteen hundred. I mean, the

1654
01:31:06,560 --> 01:31:08,320
Speaker 1: first class seat can run you a few grant. I

1655
01:31:08,320 --> 01:31:10,640
Speaker 1: don't think fifteen hundred bucks gonna that's not gonna cut it,

1656
01:31:10,800 --> 01:31:14,000
Speaker 1: my friend. That's an extra fifteen hundred just to move seats.

1657
01:31:14,080 --> 01:31:16,120
Speaker 1: I mean it's a long flight. Though, it's a long flight.

1658
01:31:16,280 --> 01:31:18,120
Speaker 1: I guess if you can afford first class, you don't

1659
01:31:18,120 --> 01:31:20,400
Speaker 1: need that money. Yeah, you know, we gotta think like

1660
01:31:20,479 --> 01:31:22,040
Speaker 1: the one percent here, Mark, you know, we got to

1661
01:31:22,160 --> 01:31:26,479
Speaker 1: imagine ourselves. That's that's fun. All right, let's get into

1662
01:31:26,520 --> 01:31:30,479
Speaker 1: this Facebook dot com slashbuck Sex didn't Stephen up first?

1663
01:31:31,560 --> 01:31:34,439
Speaker 1: Hey Buck, I love you. You're amazing. Thank you for

1664
01:31:34,520 --> 01:31:36,720
Speaker 1: your radio show. It keeps me safe and warm at night.

1665
01:31:37,439 --> 01:31:41,960
Speaker 1: Best message all weeks, Stephen, Thank you so much. Thank

1666
01:31:42,000 --> 01:31:44,800
Speaker 1: you so much, my friend. I do appreciate it. I

1667
01:31:44,880 --> 01:31:46,960
Speaker 1: know I asked for that message, but you came through

1668
01:31:47,040 --> 01:31:50,360
Speaker 1: in the clutch. That's it really matters. I love you.

1669
01:31:50,400 --> 01:31:52,320
Speaker 1: You're amazing. Thank you for your radio show. Keeps me

1670
01:31:52,360 --> 01:31:54,760
Speaker 1: safe and warm at night. How can a message on

1671
01:31:54,840 --> 01:32:01,360
Speaker 1: Facebook get any better than that? Christ, and so glad

1672
01:32:01,720 --> 01:32:05,759
Speaker 1: to hear you interviewing the creator of Parlor. It deserves

1673
01:32:05,760 --> 01:32:07,880
Speaker 1: our attention and hopefully more and more will be moving

1674
01:32:07,920 --> 01:32:13,840
Speaker 1: there and this will end the monopoly that Twitter has had. Yeah, Christ,

1675
01:32:13,920 --> 01:32:16,000
Speaker 1: and I'm with you on that. I would really like

1676
01:32:16,160 --> 01:32:19,280
Speaker 1: to see. Remember, it's not that we need a conservative

1677
01:32:19,920 --> 01:32:23,360
Speaker 1: social media app, it's that we need a neutral social

1678
01:32:23,479 --> 01:32:29,240
Speaker 1: media app. I think a neutral one is achievable, or

1679
01:32:29,240 --> 01:32:33,600
Speaker 1: at least something pretty close to something neutral enough that

1680
01:32:33,800 --> 01:32:37,760
Speaker 1: we would want to, you know, we'd want to see,

1681
01:32:37,880 --> 01:32:39,680
Speaker 1: we want to go for it. I think that that's

1682
01:32:39,800 --> 01:32:46,400
Speaker 1: very possible. But let's see. Let's see here, Brian hey Buck,

1683
01:32:46,439 --> 01:32:49,320
Speaker 1: did you notice early on the debate how the moderator

1684
01:32:49,400 --> 01:32:51,880
Speaker 1: worked Warren's name into a question to another candidate just

1685
01:32:52,000 --> 01:32:57,120
Speaker 1: to give her a chance to respond with another prepared speech. Gee,

1686
01:32:57,160 --> 01:32:59,519
Speaker 1: I wonder how this primary is going to go. I

1687
01:32:59,600 --> 01:33:02,519
Speaker 1: think she has been there intended recipient of the nomination

1688
01:33:02,640 --> 01:33:04,320
Speaker 1: from the start. I think he'll be interesting to see

1689
01:33:04,360 --> 01:33:07,559
Speaker 1: if Bernie speaks out against the d n c's obvious

1690
01:33:07,840 --> 01:33:11,840
Speaker 1: meddling with super delegates this time around, how he lacked

1691
01:33:11,880 --> 01:33:14,960
Speaker 1: the backbone in personal integrity to do against Clinton. I

1692
01:33:15,040 --> 01:33:17,839
Speaker 1: think it's unlikely that Warren wins in a general election,

1693
01:33:17,920 --> 01:33:20,200
Speaker 1: but Bernie could mess things up for her a little

1694
01:33:20,240 --> 01:33:25,160
Speaker 1: bit more. Either way, It's still early and she shouldn't

1695
01:33:25,160 --> 01:33:30,080
Speaker 1: be dismissed as a serious threat. Well, where is this.

1696
01:33:30,200 --> 01:33:33,760
Speaker 1: My friend Jesse Kelly had a great had a great

1697
01:33:33,840 --> 01:33:37,479
Speaker 1: line about Warren today. Let me see if I can

1698
01:33:37,560 --> 01:33:40,400
Speaker 1: pull it up for you. Where do you go? Oh gosh,

1699
01:33:40,640 --> 01:33:43,000
Speaker 1: you know Jesse has spelled so many different ways. Now,

1700
01:33:43,040 --> 01:33:45,800
Speaker 1: well it's spelled two different ways. Here you go. This

1701
01:33:45,960 --> 01:33:48,240
Speaker 1: is Jesse a few hours ago. Elizabeth Warren is a

1702
01:33:48,360 --> 01:33:50,840
Speaker 1: much better candidate than I gave her credit for. She

1703
01:33:51,080 --> 01:33:54,560
Speaker 1: survived the worst campaign rollout in the history of America

1704
01:33:55,200 --> 01:33:57,840
Speaker 1: and the personality of a hyena, and she's gaining on

1705
01:33:58,000 --> 01:34:01,799
Speaker 1: Biden fast. It's impressive. She's gonna get crushed by Trump,

1706
01:34:02,080 --> 01:34:06,080
Speaker 1: but still impressive. I think that's very accurate. I think

1707
01:34:06,120 --> 01:34:10,560
Speaker 1: that's very apt. That's that's pretty true. That she is

1708
01:34:10,760 --> 01:34:15,200
Speaker 1: somebody who, despite all the obstacles that she has created

1709
01:34:15,240 --> 01:34:18,120
Speaker 1: for herself, she seems to be able to just keep

1710
01:34:18,280 --> 01:34:25,360
Speaker 1: on moving along. It's really astonishing. Glenn Right. I was

1711
01:34:25,400 --> 01:34:27,240
Speaker 1: happy to hear you interview the founder of Parlor on

1712
01:34:27,280 --> 01:34:29,640
Speaker 1: your show. I found his views for the future interesting.

1713
01:34:30,080 --> 01:34:31,560
Speaker 1: I remember when I suggested it to you that you

1714
01:34:31,600 --> 01:34:34,479
Speaker 1: weren't sure whether I even spelled it correctly. Hope you

1715
01:34:34,720 --> 01:34:37,400
Speaker 1: see that the venue more. I hope you will use

1716
01:34:37,479 --> 01:34:39,360
Speaker 1: that venue more and will definitely follow you when and

1717
01:34:39,439 --> 01:34:42,360
Speaker 1: if you do. Thank you, Glenn, well, Glenn, thank you

1718
01:34:42,520 --> 01:34:45,600
Speaker 1: my man. And yes, you wait, you did tell me

1719
01:34:45,720 --> 01:34:50,160
Speaker 1: to download Parlor, didn't you? Wasn't this? Uh yeah? Oh?

1720
01:34:50,360 --> 01:34:53,240
Speaker 1: Ps have you? This is what Glenn wrote on May

1721
01:34:53,400 --> 01:34:56,400
Speaker 1: thirty first, twenty nineteen. Have you heard of Parlor? The

1722
01:34:56,439 --> 01:34:59,040
Speaker 1: free speech alternative to Twitter? She'd get someone from there

1723
01:34:59,120 --> 01:35:03,200
Speaker 1: on to promote your program, c Glenn Boom. I'm in

1724
01:35:03,240 --> 01:35:06,880
Speaker 1: the customer service business, my man. And if you want

1725
01:35:06,960 --> 01:35:09,280
Speaker 1: me to, you know, do the stuff I do it

1726
01:35:09,439 --> 01:35:18,000
Speaker 1: here on the show. Yeah, yeah, mocking bird ing. Do

1727
01:35:18,080 --> 01:35:20,599
Speaker 1: you still do you still remember dumb and dumb remark?

1728
01:35:21,640 --> 01:35:24,559
Speaker 1: Of course? All right, just making sure I'm not that yell.

1729
01:35:25,080 --> 01:35:28,800
Speaker 1: That's right. And I know you defy age categorization and

1730
01:35:28,960 --> 01:35:30,920
Speaker 1: I don't. I couldn't. I couldn't tell you. You know,

1731
01:35:31,000 --> 01:35:34,000
Speaker 1: you could tell me you're a millennial, aren't you. Oh yeah, yeah,

1732
01:35:34,040 --> 01:35:36,960
Speaker 1: that's what I thought. You're an older millennial, but I'm younger. Yeah, yeah,

1733
01:35:37,000 --> 01:35:39,160
Speaker 1: you're one of those young whipper snapper millennials, you know.

1734
01:35:39,680 --> 01:35:42,360
Speaker 1: All Oh look at me T Swift and Ariana Grande

1735
01:35:42,479 --> 01:35:44,880
Speaker 1: and stuff. I've been told a bouncer once told me

1736
01:35:44,960 --> 01:35:47,880
Speaker 1: that I looked fifteen. We didn't think my idea was real. Really,

1737
01:35:47,920 --> 01:35:49,519
Speaker 1: people tell me that's the whole time. I don't say

1738
01:35:49,520 --> 01:35:51,960
Speaker 1: fifteen now they say like late twenties or something. The

1739
01:35:52,040 --> 01:35:55,920
Speaker 1: beard helps there we go exactly. Zach, hey Buck, I

1740
01:35:56,040 --> 01:35:57,880
Speaker 1: love you. You're amazing. Thanks for the radio show. It

1741
01:35:57,960 --> 01:35:59,439
Speaker 1: keeps me safe and war of at night. All right,

1742
01:35:59,439 --> 01:36:02,360
Speaker 1: we got another in here, Thank you, Zach. That should

1743
01:36:02,400 --> 01:36:04,840
Speaker 1: be I want to like put this on my on

1744
01:36:05,000 --> 01:36:07,600
Speaker 1: my show page. You know this is These are the

1745
01:36:07,600 --> 01:36:09,639
Speaker 1: comments that I'm getting to the audience that my show

1746
01:36:09,720 --> 01:36:11,160
Speaker 1: keeps them safe and warm at night. We don't have

1747
01:36:11,200 --> 01:36:12,800
Speaker 1: to tell anybody that I asked them to say this.

1748
01:36:14,920 --> 01:36:17,040
Speaker 1: All right, somebody wrote something that's not for on air,

1749
01:36:17,120 --> 01:36:19,320
Speaker 1: so I will skip that. Brian, hey Buck, heard you

1750
01:36:19,360 --> 01:36:20,800
Speaker 1: ask for someone to write and they love your show.

1751
01:36:20,840 --> 01:36:23,240
Speaker 1: I love your show keeps me safe and wire. Thank you, Brian.

1752
01:36:23,360 --> 01:36:25,160
Speaker 1: We're gonna I'm gonna stop reading all these. We've got

1753
01:36:25,200 --> 01:36:27,400
Speaker 1: a lot of these, which I appreciate. Thank you, everybody,

1754
01:36:28,040 --> 01:36:33,599
Speaker 1: very very nice. Let's see here, Kelly. If I turn

1755
01:36:33,680 --> 01:36:35,719
Speaker 1: on the debates right now, well, I see a Donkey

1756
01:36:35,840 --> 01:36:39,960
Speaker 1: mascot shooting rolls of one hundred dollars bills out of

1757
01:36:40,080 --> 01:36:43,600
Speaker 1: T shirt cannons into the audience. That might be the

1758
01:36:43,840 --> 01:36:49,160
Speaker 1: only reason to watch, oh, Kelly metaphorically speaking, I believe

1759
01:36:49,200 --> 01:36:50,920
Speaker 1: that is more or less what you would have seen

1760
01:36:51,000 --> 01:36:53,840
Speaker 1: had you watched the debate last night. Kelly continued on,

1761
01:36:53,920 --> 01:36:55,960
Speaker 1: I'll just stick with the low lights and recaps. Being

1762
01:36:56,000 --> 01:36:59,679
Speaker 1: on the West coast makes primetime things hard to catch.

1763
01:37:00,160 --> 01:37:04,479
Speaker 1: M hm, oh, there we have it. Um, now that

1764
01:37:04,560 --> 01:37:06,040
Speaker 1: was my That's the one problem I have in la

1765
01:37:06,560 --> 01:37:08,280
Speaker 1: is I when I wake when my alarm goes off,

1766
01:37:08,360 --> 01:37:11,280
Speaker 1: and I wake up at seven seven thirty in the morning, Um,

1767
01:37:12,080 --> 01:37:14,080
Speaker 1: it's really a lot of stuff has already happened on

1768
01:37:14,080 --> 01:37:16,280
Speaker 1: the East coast. So if you're in the news business,

1769
01:37:16,320 --> 01:37:19,639
Speaker 1: I think that can be kind of tough. Uh. Let's

1770
01:37:19,640 --> 01:37:22,280
Speaker 1: see here, David, is the social media site you've been

1771
01:37:22,320 --> 01:37:26,759
Speaker 1: talking about parlor or par parlay, Well, David, it's spelled parlor.

1772
01:37:26,840 --> 01:37:32,680
Speaker 1: I believe pa r l e R, which technically, if

1773
01:37:32,760 --> 01:37:36,559
Speaker 1: you are somebody who parley vous francais, you would say parley.

1774
01:37:37,400 --> 01:37:44,479
Speaker 1: Now we beon seres parle francis basque voi parlais on

1775
01:37:44,920 --> 01:37:50,000
Speaker 1: anglais blah bla bla French French French. Yeah, Parley, that's

1776
01:37:50,360 --> 01:37:53,240
Speaker 1: that's what it is. Parlor. P A R L E R.

1777
01:37:53,360 --> 01:37:55,560
Speaker 1: You know what I'm actually teamed. I'm gonna download this

1778
01:37:55,680 --> 01:37:59,080
Speaker 1: thing right now. I'm gonna download it right now so

1779
01:37:59,200 --> 01:38:00,920
Speaker 1: that way I can talk more about it as we

1780
01:38:01,080 --> 01:38:02,880
Speaker 1: get going here, unless they kick it out of the app.

1781
01:38:02,920 --> 01:38:05,800
Speaker 1: Let's see what we got here, Parlor, I got it,

1782
01:38:06,240 --> 01:38:10,320
Speaker 1: downloading it good to go. Hopefully this isn't some plot

1783
01:38:10,400 --> 01:38:13,439
Speaker 1: by the Illuminati or the Russians or something. But yeah,

1784
01:38:13,560 --> 01:38:16,800
Speaker 1: Parlor is now being downloaded onto my phone. I got

1785
01:38:16,880 --> 01:38:21,679
Speaker 1: it all right, I do want to do Let's see

1786
01:38:22,160 --> 01:38:29,680
Speaker 1: here all call me Buck. Haven't heard your entire show yet.

1787
01:38:29,680 --> 01:38:32,080
Speaker 1: But on the Illegal crossers, drowning and the Rio grand,

1788
01:38:32,439 --> 01:38:34,120
Speaker 1: how they get to the other side if they drowned,

1789
01:38:34,600 --> 01:38:38,240
Speaker 1: body sink and eventually rise when bloating maybe seems to

1790
01:38:38,280 --> 01:38:41,400
Speaker 1: me they were drugged there by somebody kind of timely

1791
01:38:41,439 --> 01:38:44,799
Speaker 1: and suspicious with a border bill funding in a process.

1792
01:38:45,720 --> 01:38:49,320
Speaker 1: I you know, al, I don't know much about crime

1793
01:38:49,360 --> 01:38:52,760
Speaker 1: scene stuff, so I think you're correct. At body's first

1794
01:38:52,760 --> 01:38:55,360
Speaker 1: sink and then get bloated and then rise to the surface.

1795
01:38:55,400 --> 01:38:57,960
Speaker 1: But wouldn't that then I don't know why that would

1796
01:38:58,000 --> 01:39:01,040
Speaker 1: mean that somebody stay age this. If that's what you're

1797
01:39:01,040 --> 01:39:03,720
Speaker 1: saying clearly, that these two people die, that's very very sad.

1798
01:39:03,960 --> 01:39:08,160
Speaker 1: But what I mean is, is there any reason to

1799
01:39:08,200 --> 01:39:11,920
Speaker 1: believe that somebody change this, change the position of the bodies,

1800
01:39:12,040 --> 01:39:13,840
Speaker 1: or try to do that. And I don't see that,

1801
01:39:14,840 --> 01:39:18,280
Speaker 1: But I am open to suggestion. I'm open to whatever

1802
01:39:18,360 --> 01:39:22,400
Speaker 1: you've got for me to learn about. So I'm sure

1803
01:39:22,560 --> 01:39:24,679
Speaker 1: this audience we probably have somebody who's like a world

1804
01:39:24,760 --> 01:39:29,080
Speaker 1: class homicide investigator or forensics investigator. We always whenever I

1805
01:39:29,200 --> 01:39:32,479
Speaker 1: need real insight on something, I can always say, hey, team,

1806
01:39:33,040 --> 01:39:36,840
Speaker 1: who among you is a world class astrophysicist who can

1807
01:39:36,880 --> 01:39:40,680
Speaker 1: answer this question. I usually have that person sending me

1808
01:39:40,800 --> 01:39:43,479
Speaker 1: a note within twenty four hours, which is great kind

1809
01:39:43,520 --> 01:39:46,040
Speaker 1: of fun. I really should crowdsource everything and be like, hey, guys,

1810
01:39:46,080 --> 01:39:47,960
Speaker 1: so I think I need to invest some money from

1811
01:39:48,000 --> 01:39:50,640
Speaker 1: my four oh one K. I'm just wondering if what

1812
01:39:50,840 --> 01:39:56,400
Speaker 1: you think of this idea. Let's see here, James, you

1813
01:39:56,479 --> 01:39:59,600
Speaker 1: seem to overlook the DEM's endgame for illegal immigrance is

1814
01:39:59,640 --> 01:40:04,120
Speaker 1: a few your voter base period. Well, James, you seem

1815
01:40:04,160 --> 01:40:06,280
Speaker 1: to overlook that I've said that on this show, probably

1816
01:40:06,320 --> 01:40:09,559
Speaker 1: a hundred times, maybe more than that. So I don't

1817
01:40:09,560 --> 01:40:11,120
Speaker 1: know why you think I'm overlooking it. I think what

1818
01:40:11,240 --> 01:40:14,400
Speaker 1: needs to happen here, James, who we shared, We share

1819
01:40:14,400 --> 01:40:16,640
Speaker 1: our first name, so that's kind of cool. Is that

1820
01:40:16,760 --> 01:40:18,479
Speaker 1: you just need to listen to the Buck Sexton Show more,

1821
01:40:18,640 --> 01:40:20,880
Speaker 1: my friend, and then all will be well in the world.

1822
01:40:21,000 --> 01:40:23,200
Speaker 1: So I guess we've got that going for us, which

1823
01:40:23,240 --> 01:40:25,880
Speaker 1: is nice. We got more role call stay right there,

1824
01:40:26,080 --> 01:40:30,840
Speaker 1: Angela continues our role call phenomenon. I just realized it's Thursday,

1825
01:40:30,840 --> 01:40:32,479
Speaker 1: and I just did a double roll call. You know what,

1826
01:40:32,520 --> 01:40:34,200
Speaker 1: I'm gonna tell you guys something right now. I actually

1827
01:40:34,200 --> 01:40:35,880
Speaker 1: thought it was Friday because I'm in New York City

1828
01:40:36,040 --> 01:40:39,240
Speaker 1: and I'm usually here on Fridays, so I'm completely Mike.

1829
01:40:39,280 --> 01:40:40,960
Speaker 1: I was going to ask you what your weekend plans were,

1830
01:40:41,040 --> 01:40:42,400
Speaker 1: But it's a little early. You know, we're jumping the

1831
01:40:42,400 --> 01:40:43,560
Speaker 1: gun a little bit. You got to show up for

1832
01:40:43,600 --> 01:40:46,200
Speaker 1: work tomorrow, buddy. All right, they'll be here, But doesn't

1833
01:40:46,240 --> 01:40:48,160
Speaker 1: mean I don't have weekend plans. Where's Cash? By the way,

1834
01:40:48,200 --> 01:40:50,280
Speaker 1: have you gonna bring him in some time? Yes? I should.

1835
01:40:50,320 --> 01:40:52,680
Speaker 1: He's probably peeing all over my apartment right now, Right,

1836
01:40:52,720 --> 01:40:54,240
Speaker 1: we'll bring him in the studio. Letim pee all over

1837
01:40:54,280 --> 01:40:56,200
Speaker 1: the studio. It's fine, Yeah, we'll get him in here.

1838
01:40:56,320 --> 01:41:01,719
Speaker 1: That's so all right, Angela. Right's gotta Amocrat debate gambling game.

1839
01:41:02,320 --> 01:41:05,080
Speaker 1: Four teams, Red, Blue, Green, Gold. Each team has the

1840
01:41:05,160 --> 01:41:08,080
Speaker 1: exact same amount of cash. Team of the most cash wins,

1841
01:41:08,120 --> 01:41:11,640
Speaker 1: and you can opt to buy in. Teams have keywords

1842
01:41:12,160 --> 01:41:17,280
Speaker 1: gold trashing Americans and Republicans, Red trashing President Trump, Blue, free, green,

1843
01:41:17,520 --> 01:41:21,280
Speaker 1: climate change. Oh, blue is free and green is climate change.

1844
01:41:22,640 --> 01:41:28,920
Speaker 1: Very creative, Angela, Thank you for writing in. Matthew. Just

1845
01:41:29,120 --> 01:41:31,040
Speaker 1: a thought, buck, But what if the Obamas are behind

1846
01:41:31,080 --> 01:41:35,120
Speaker 1: the Central Park five documentary. They've been paid millions of

1847
01:41:35,120 --> 01:41:37,040
Speaker 1: developed programming for Netflix. What if this is just the

1848
01:41:37,120 --> 01:41:39,840
Speaker 1: first of many documentaries trying to change history and convince

1849
01:41:39,920 --> 01:41:43,080
Speaker 1: the American people that we are racist for enforcing the law.

1850
01:41:43,800 --> 01:41:48,439
Speaker 1: Equally well, Matthew, the efforts to change the Central Park five,

1851
01:41:50,280 --> 01:41:52,519
Speaker 1: to change the narrative around this, these have been going

1852
01:41:52,560 --> 01:41:55,720
Speaker 1: on for a long time. This is not new. So

1853
01:41:55,960 --> 01:42:00,840
Speaker 1: the Netflix documentary is just the most recent version of

1854
01:42:01,200 --> 01:42:03,320
Speaker 1: trying to rewrite this history. But it's been going on.

1855
01:42:03,439 --> 01:42:06,599
Speaker 1: There was a Ken Burns documentary before. There's there's plenty

1856
01:42:06,640 --> 01:42:10,400
Speaker 1: of this stuff going on out there. So yeah, uh,

1857
01:42:10,800 --> 01:42:13,120
Speaker 1: that's something that's that's very real, and that's why I

1858
01:42:13,360 --> 01:42:15,880
Speaker 1: focus in on this one. And as somebody who, as

1859
01:42:15,920 --> 01:42:18,320
Speaker 1: I've told you, grew up next to Central Park, lived

1860
01:42:18,360 --> 01:42:19,920
Speaker 1: in New York City, and then went on to work

1861
01:42:20,600 --> 01:42:24,519
Speaker 1: as a civilian contractor for the NYPD and the counter

1862
01:42:24,640 --> 01:42:27,680
Speaker 1: terrorism side of the house, but still had a lot

1863
01:42:27,720 --> 01:42:30,680
Speaker 1: of exposure to the detectives and to the sergeants and

1864
01:42:30,720 --> 01:42:33,599
Speaker 1: all the stuff that they're doing. I just I think

1865
01:42:33,640 --> 01:42:35,720
Speaker 1: it's I think it's important we get this story right.

1866
01:42:35,800 --> 01:42:37,559
Speaker 1: I don't think it's our I don't think it's okay

1867
01:42:38,280 --> 01:42:41,200
Speaker 1: to make this up as people wish it had been.

1868
01:42:41,680 --> 01:42:43,240
Speaker 1: And I'm not all right with that. I'm not going

1869
01:42:43,320 --> 01:42:46,200
Speaker 1: to sign on for that one. Yeah, problems with that,

1870
01:42:46,400 --> 01:42:51,120
Speaker 1: all right, Here we go. Uh, let's see brand in

1871
01:42:51,320 --> 01:42:54,519
Speaker 1: right buck. How's miss Molly. I thought it was awesome

1872
01:42:54,520 --> 01:42:57,160
Speaker 1: that Dan Bongino gave you some props on the show recently.

1873
01:42:57,520 --> 01:43:01,400
Speaker 1: Oh well, um, Brandon, thank you for writing in man. Unfortunately,

1874
01:43:01,400 --> 01:43:03,040
Speaker 1: Miss Milly and I split a little while ago. I

1875
01:43:03,120 --> 01:43:06,400
Speaker 1: hope she's doing well. She's a wonderful woman and deserves

1876
01:43:06,400 --> 01:43:11,880
Speaker 1: a very long, happy, wonderful life. As to Dan Bongino,

1877
01:43:12,720 --> 01:43:16,680
Speaker 1: I uh yeah, no, I remember that. That was a

1878
01:43:16,680 --> 01:43:18,320
Speaker 1: little while back. I think I might have read a

1879
01:43:18,400 --> 01:43:21,320
Speaker 1: slightly older message here, but that's okay, that's all right.

1880
01:43:22,360 --> 01:43:24,360
Speaker 1: Thank you Brandon nonetheless for writing in See. We have

1881
01:43:24,439 --> 01:43:26,400
Speaker 1: so many messages. I can't keep it all. I can't

1882
01:43:26,439 --> 01:43:31,200
Speaker 1: keep it all straight. Uh Rina writes Buck, you don't

1883
01:43:31,240 --> 01:43:34,559
Speaker 1: have a mid June cold. You have the dreaded allergy

1884
01:43:34,680 --> 01:43:38,320
Speaker 1: induced cold symptoms. Zerotec floone is all that music X

1885
01:43:38,400 --> 01:43:40,160
Speaker 1: is good to keep the sinus lungs from getting clogged,

1886
01:43:40,200 --> 01:43:43,040
Speaker 1: which will increase the chance of a baccheral infection. No, Rina,

1887
01:43:43,080 --> 01:43:45,200
Speaker 1: trust me, I had a cold. It was a cold

1888
01:43:45,240 --> 01:43:49,320
Speaker 1: cold with like super swollen glands and coughing up stuff

1889
01:43:49,360 --> 01:43:51,280
Speaker 1: that looked like it was going to crawl off the table.

1890
01:43:51,600 --> 01:43:53,599
Speaker 1: And that was disgusting. I hope none of you're eating.

1891
01:43:53,640 --> 01:43:55,840
Speaker 1: I'm sorry, predec or Mike. You don't have any food there,

1892
01:43:55,880 --> 01:43:58,200
Speaker 1: do you? That was gross? I do not. I feel

1893
01:43:58,320 --> 01:44:01,599
Speaker 1: you know, it's really like something from Teenage Mutant, Teenage

1894
01:44:01,680 --> 01:44:04,679
Speaker 1: Mutant Nina Turtles, The Secret of the Ooze, The Secret

1895
01:44:04,720 --> 01:44:06,720
Speaker 1: of the ouze was whatever I was cofee up? Okay,

1896
01:44:06,880 --> 01:44:11,680
Speaker 1: so gross, I'm sorry, I'm sorry, I'll stop all right. Uh,

1897
01:44:12,160 --> 01:44:14,640
Speaker 1: that's so much fun at the Trump Hotel. Stop that

1898
01:44:14,760 --> 01:44:17,000
Speaker 1: I do the Trump Hotel things. Get it gets lit

1899
01:44:17,120 --> 01:44:21,719
Speaker 1: over there, lit at as the kids say, lit as Trump.

1900
01:44:23,520 --> 01:44:27,599
Speaker 1: Let's see here, Linda, on the whole hundred Biden corruption issue,

1901
01:44:28,160 --> 01:44:31,640
Speaker 1: have your spiffy team investigate John Kerry's steps on, who

1902
01:44:31,760 --> 01:44:34,080
Speaker 1: was supposedly involved at the same time as Hunter Biden.

1903
01:44:34,200 --> 01:44:37,439
Speaker 1: I love the beard shields high. Well, thank you, Linda.

1904
01:44:37,560 --> 01:44:40,040
Speaker 1: You know, a young woman texts me today and said,

1905
01:44:40,080 --> 01:44:41,960
Speaker 1: you know what today is? And this is a friend,

1906
01:44:42,120 --> 01:44:45,320
Speaker 1: not a not a not a romantic interest per se

1907
01:44:46,600 --> 01:44:49,519
Speaker 1: maybe uh And she texted me and she said, uh,

1908
01:44:49,840 --> 01:44:52,400
Speaker 1: you know what today is? And I responded was she goes,

1909
01:44:52,520 --> 01:44:55,599
Speaker 1: it's a great day to shave your beard. Smile, smile,

1910
01:44:55,720 --> 01:44:58,439
Speaker 1: heart heart, And I'm like, really, it's gonna be like that.

1911
01:44:58,800 --> 01:45:01,080
Speaker 1: That's that's sort of funny though. Yeah, oh it's very funny.

1912
01:45:01,160 --> 01:45:03,200
Speaker 1: I mean I laughed. I was like, damn, she's not

1913
01:45:03,880 --> 01:45:06,439
Speaker 1: not on board for the beard. We'll see it's it's

1914
01:45:06,439 --> 01:45:09,000
Speaker 1: a little shit, dude, Mike. Mike's beard producer Mike's beards great,

1915
01:45:09,000 --> 01:45:12,000
Speaker 1: we gotta do more photos and stuff. And yeah, mom's

1916
01:45:12,000 --> 01:45:14,200
Speaker 1: not listening because she would agree with her. My mom

1917
01:45:14,280 --> 01:45:15,880
Speaker 1: would say that every day too. Oh my mom's a

1918
01:45:15,920 --> 01:45:18,519
Speaker 1: clean shaven D two. She likes the clean shaven face.

1919
01:45:18,880 --> 01:45:22,120
Speaker 1: You look old. Yeah, I just yeah, I don't know,

1920
01:45:22,200 --> 01:45:23,880
Speaker 1: but you know, beards are. The truth is that beards

1921
01:45:23,920 --> 01:45:25,640
Speaker 1: are in right now. I mean, that's just I did

1922
01:45:25,680 --> 01:45:27,400
Speaker 1: this because of laziness, and then I just sort of

1923
01:45:27,400 --> 01:45:29,880
Speaker 1: went with it. But wait, Mark, let me see your face.

1924
01:45:30,200 --> 01:45:32,479
Speaker 1: How mind started lazy? Totally? You were You were clean

1925
01:45:32,560 --> 01:45:35,040
Speaker 1: shaven like a like you can't grow a beard like

1926
01:45:35,120 --> 01:45:38,880
Speaker 1: a baby's feet. You got nothing. It looks like hair

1927
01:45:39,000 --> 01:45:40,600
Speaker 1: that would not be growing on your face. I'm not

1928
01:45:40,640 --> 01:45:42,679
Speaker 1: gonna say what it actually looks like because oh wow,

1929
01:45:42,760 --> 01:45:47,720
Speaker 1: all right, yes, Radio Family Show exactly. Um well, producer, Mike, look,

1930
01:45:47,840 --> 01:45:51,120
Speaker 1: you're the spiffy team. Look into John Kerry's step son.

1931
01:45:51,120 --> 01:45:52,720
Speaker 1: I don't even know that I've even heard of this guy.

1932
01:45:53,479 --> 01:45:56,639
Speaker 1: Just he's probably a probably a DBS. But I guess

1933
01:45:57,560 --> 01:45:59,200
Speaker 1: other than that, I don't know what else to say.

1934
01:45:59,240 --> 01:46:01,240
Speaker 1: All right, team here in New York, I'm gonna go

1935
01:46:01,280 --> 01:46:02,599
Speaker 1: out tonight and get in a little bit of trouble.

1936
01:46:02,640 --> 01:46:04,720
Speaker 1: It's gonna be fun. You have your orders, which are

1937
01:46:04,800 --> 01:46:07,200
Speaker 1: to enjoy yourselves, listen to the show, and tell some

1938
01:46:07,280 --> 01:46:09,920
Speaker 1: people about it. Talk tomorrow from the Freedom Up NYC

1939
01:46:10,400 --> 01:46:11,040
Speaker 1: Shield Tie